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generated: May 08, 2026 at 12:23:57

May 08, 2026
1. 🔗 r/reverseengineering Reverse-engineered DaVinci Resolve's activation check with Claude — Frida runtime tracing + radare2 rss
  
  submitted by /u/Hour-Dirt-4010
  [link] [comments]
2. 🔗 chenxvb/Unicorn-Trace Unicorn-Trace v0.4 release
  
  Full Changelog : v0.3...v0.4
3. 🔗 r/york Policemen with assault rifles running around rss
  
  Does anyone know anything about the policemen running around with automatic weapons near Hungate apartments? Quite anxiety inducing to see that
  
  submitted by /u/Reduxtion
  [link] [comments]
4. 🔗 r/york Love the cobbled or setts, and the whole atmosphere of Shambles is just magical, really brings out the history and charm of the place! 🌺 rss
  
  | submitted by /u/Coffee000Oopss
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  ---|---
5. 🔗 tomasz-tomczyk/crit Spotify popup-relay preview (bb4d9fb) release
  
  WIP build of crit with share_flow: "popup" config support for SSO- protected crit-web instances.
  
  Setup instructions: SPOTIFY-PREVIEW.md
  
  Pair with crit-web: docker image ghcr.io/tomasz-tomczyk/crit-web:spotify- preview (release, built from branch share-receiver- elixir).
  
  Built from commit bb4d9fb of branch share- receiver.
  
  Feedback / issues: tomasz-tomczyk/crit-web#50
6. 🔗 openonion/connectonion Release v0.9.3 release
  Release v0.9.3
  
  Patch release: relay session routing fix and internal documentation polish. No user-facing API changes.
  
  What's Changed
  
  🐛 Bug Fixes
  - Relay : _relay_sid proxy sessions are now routed via the local /ws loopback so a relay-resumed websocket reaches the same hosted agent it was connected to before. (#134)
  📚 Documentation
  - Added rich LLM-Note headers to 12 internal modules so AI tooling and new contributors get an instant map of dependencies, data flow, side effects, and integration points:
    
    cli/browser_agent/agent.py, cli/templates/{browser,coder,minimal}/agent.py
    
    network/asgi/websocket.py, network/connect.py, network/host/session/__init__.py
    
    network/trust/http_admin.py, network/trust/ws_admin.py
    
    useful_skills/__init__.py, useful_tools/browser_tools/__init__.py, useful_tools/browser_tools/browser_config.py
  🧹 Housekeeping
  - VERSIONING.md "Current Version" line corrected to track the actual release.
  Installation
```
pip install --upgrade connectonion
# or pin
pip install connectonion==0.9.3
```
  Breaking Changes
  
  None.
  
  Full Changelog : v0.9.2...v0.9.3
7. 🔗 r/Yorkshire There's no better place to drink a tea and reboot yourself than the Dales rss
  
  | Image by Dan Silcock submitted by /u/Seabeachlover10
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8. 🔗 r/reverseengineering SASS King Part 2: reverse-engineering ptxas heuristic decisions and what the compiled binary actually reveals rss
  
  submitted by /u/CurrentLawfulness358
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9. 🔗 livestorejs/livestore v0.4.0-dev.24 release
  
  Release 0.4.0-dev.24
10. 🔗 r/reverseengineering I just released a C++ rewrite of **Minecraft rd-20090515** (May 15, 2009 — one of the earliest pre-Classic versions).If you find it interesting, a ⭐ on GitHub would mean a lot and help the project grow! rss
  
  submitted by /u/03D_DEV
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11. 🔗 r/LocalLLaMA Multi-Token Prediction (MTP) for LLaMA.cpp - Gemma 4 speedup by 40% rss
  
  | Implemented Multi-Token Prediction for LLaMA.cpp. Quantized Gemma 4 assistant models into GGUF format. Ran tests on a MacBook Pro M5Max. Gemma 26B with MTP drafts tokens 40% faster. Prompt: Write a Python program to find the nth Fibonacci number using recursion Outputs:
  LLaMA.cpp: 97 tokens/s
  LLaMA.cpp + MTP: 138 tokens/s Gemma4-assistant GGUF Quantized models: https://huggingface.co/collections/AtomicChat/gemma-4-assistant-gguf Local AI models app: http://atomic.chat Patched llama.cpp: https://github.com/AtomicBot-ai/atomic-llama-cpp-turboquant submitted by /u/gladkos
  [link] [comments]
  ---|---
12. 🔗 matklad Steering Zig Fmt rss
  Steering Zig Fmt
  
  May 8, 2026
  
  Two tips on using zig fmt effectively. Read this if you are writing Zig, or if you are implementing a code formatter.
  
  For me, zig fmt is better than any other formatter I used: rustfmt, the one in IntelliJ, deno fmt. zig fmt is steerable. For every syntactic construct, it has several variations for how it might be laid out. The variation used is selected by looking at what’s currently in a file.
  
  Easier to show a pair of examples:
```
    f(1, 2,
      3);

// -> zig fmt ->

    f(1, 2, 3);


    f(1, 2,
      3,);

// -> zig fmt ->

    f(
        1,
        2,
        3,
    );
```
  Depending on the trailing comma, function call is formatted on a single line, or with one argument per line.
  
  The way this plays out in practice is that you decide how you want to lay out the code, add a couple of ,, hit the reformat shortcut (, p is mine), and zig fmt does the rest. For me, this works better than the alternative of the formatter guessing. 90% of great formatting are blank lines between logical blocks and tasteful choice of intermediate variables, so you might as well lean into key choices, rather than eliminate them.
  
  I know of one non-trivial formatting customization point: columnar layout for arrays:
```
    .{ 1, 2, 3,
       4, 5, 6, 7, 8, 9, 10, 11,  };
```
  One would think that trailing comma would lead to a number-per-line layout, but, for arrays, zig fmt also takes note of the first line break. In this case, the line break comes after the first three items, so we get three numbers per line, aligned:
```
    .{
        1,  2,  3,
        4,  5,  6,
        7,  8,  9,
        10, 11,
    };
```
  How cool is that!
  
  Furthermore, with judicious use of ++, you can vary the number of items per line. When I need to pass --key value pairs to subprocess, I often go for formatting like this:
```
try run(&(.{ "aws", "s3", "sync", path, url } ++ .{
    "--include",            "*.html",
    "--include",            "*.xml",
    "--metadata-directive", "REPLACE",
    "--cache-control",      "max-age=0",
}));
```
13. 🔗 Armin Ronacher Pushing Local Models With Focus And Polish rss
  I really, really want local models to work.
  
  I want them to work in the very practical sense that I can open my coding agent, pick a local model, and get something that feels competitive enough that I do not immediately switch back to a hosted API after five minutes. There are a lot of reasons why I want this, but the biggest quite frankly is that we're so early with this stuff, and the thought of locking all the experimentation away from the average developer really upsets me.
  
  Frustratingly, right now that is still much harder than it should be but for reasons that have little to do with the complexity of the task or the quality of the models.
  
  We have an enormous amount of activity around local inference, which is great. We have good projects, fast kernels, and people are doing great quantization work. A lot of very smart people are making all of this better, and yet the experience for someone trying to make this work with a coding agent is worse than it has any right to be.
  
  Putting an API key into Pi and using a hosted model is a very boring operation. You select the provider, paste the key and then you are done thinking about how to get tokens. Doing the same thing locally, even when you have a high-end Mac with a lot of memory, is a completely different experience. You choose an inference engine, then a model, then a quantization, then a template, then a context size, then you've got to throw a bunch of JSON configs into different parts of the stack and then you discover that one of those choices quietly made the model worse or that something just does not work at all.
  
  That is the gap I am interested in.
  
  Runnable Is Not Finished
  
  A lot of local model work optimizes for making models runnable. That is necessary, but it is not the same thing as making them feel finished. I give you a very basic example here to illustrate this gap: tool parameter streaming.
  
  For whatever reason, most of the stuff you run locally does not support tool parameter streaming. I cannot quite explain it, but the consequences of that are actually surprisingly significant. If you are not familiar with how these APIs work, the simplest way to think about them is that they are emitting tokens as they become available. For text that is trivial, but for tool calls that is often not done, despite the completions API supporting this. As a result you only see what edits are being done on a file once the model has finished streaming the entire tool call.
  
  This is bad for a lot of reasons:
  - A dead connection is a weird connection: local models are slow, so when you don't get any tokens for 5 minutes then you can't tell if the connection died or just nothing came. This means you need to increase the inactivity timeouts to the point where they are pointless.
  - You won 't see what will happen: if you are somewhat hands-on, not seeing what bash invocation the system is concocting slowly in the background means potentially wasted tokens, and also means that you won't be able to interrupt it until way too late.
  - It 's just not SOTA. We can do better, and we should aim for having the best possible experience. Tool parameter streaming is as important as token streaming in other places.
  Having a model spit out tokens doesn't take long, but making the experience great end to end does take a lot more energy.
  
  Fragmentation
  
  The local stack is fragmented across many engines and layers. There is llama.cpp, Ollama, LM Studio, MLX, Transformers, vLLM, and many other pieces depending on hardware and taste. All of these are amazing projects! The problem is not that they exist or that there are that many of them (even though, quite frankly, I'm getting big old Python packaging vibes), the problem is that for a given model, the actual behavior you get depends on a long chain of small decisions that most users just don't have the energy for.
  
  Did the chat template render exactly right? Are the reasoning tokens handled in the intended way? Is the tool-call format translated correctly? Is the context window real? Are the KV caches actually working for a coding agent? Did I pick the right quantized model from Hugging Face? Are you accidentally leaving a lot of performance on the table because the model is just mismatched for your hardware? Does streaming usage work across all channels? Does the model need its previous reasoning content preserved in assistant messages? Is the coding agent set up correctly for it?
  
  You also need to install many different things in addition to just your coding agent.
  
  All of these things matter. They matter a lot.
  
  The result is that people try a local model and get a result that is neither a fair evaluation of the model nor a polished product experience and this results in both people dismissing local models and energy being distributed across way too many separate efforts instead of getting one effort going great end to end.
  
  This is a terrible way to build confidence.
  
  Too Little Critical Mass
  
  In line with our general "slow the fuck down" mantra, I want to reiterate once more how fast this industry is moving.
  
  Every week there is a new model and a new vibeslopped thing. The attention immediately moves to making the next thing run instead of making one thing run really, really well in one harness. I get the excitement and dopamine hit, but it also means that too little critical mass accumulates behind any one model, hardware, inference engine, harness combo to find out how good it can really become when the entire stack is built around it.
  
  Hosted model providers do not ship a bag of weights and ask you to figure out the rest, and we need to approach that line of thinking for local models too. I want someone to pick one model, pairs it up with one serving path, directly within a coding agent. Initially just for one hardware configuration, then for more. Pick a winner hard. If a tool call breaks, that is a product bug and then it's fixed no matter where in the stack it failed. If the model's reasoning stream is malformed, that is a product bug. If latency is much worse than it should be, that is a product bug. We need to start applying that mentality to local models too.
  
  And not for every model! That is the point. Let's pick one winner and polish the hell out of it. Learn what it takes to make that one configuration good, then take those learnings to the next config.
  
  The DS4 Bet
  
  This is why I am excited about ds4.c. It's Salvatore Sanfilippo's deliberately narrow inference engine for DeepSeek V4 Flash on Macs with 128GB+ of RAM only. It is not a generic GGUF runner and it is not trying to be a framework. It is a model-specific native engine with a Metal path, model-specific loading, prompt rendering, KV handling, server API glue, and tests.
  
  DeepSeek V4 Flash is a good candidate for this kind of experiment because it has a combination of properties that are unusual for local use. It is large enough to feel meaningfully different from many smaller dense models, but sparse enough that the active parameter count makes it plausible to run. It has a very large context window. Since ds4.c targets Macs and Metal only, it can move KV caches into SSDs which greatly helps the kind of workloads we expect from coding agents.
  
  To run ds4.c you don't need MLX, Ollama or anything else. It's the whole package.
  
  Embedding It In Pi
  
  Which made me build pi-ds4 which is a Pi extension to directly embed the whole thing into Pi itself. Taking what ds4 is and dogfooding the hell out of it with a coding agent and zero configuration. To answer the question how good can the local model experience become if Pi treats this as a first-class provider rather than as a pile of manual configuration?
  
  The extension registers ds4/deepseek-v4-flash, compiles and starts ds4-server on demand, downloads and builds the runtime if needed, chooses the quantization based on the machine, keeps a lease while Pi is using it, exposes logs, and shuts the server down again through a watchdog when no clients are left. It doesn't even give you knobs right now, because I want to figure out how to set the knobs automatically.
  
  This is not about hiding the fact that local inference is complicated. It is about putting the complexity in one place where it can be improved, because there is a lot that we need to improve along the stack to make it work better.
  
  I think we can do better with caching and there is probably some performance that can be gained if we all put our heads together.
  
  Focusing and Learning
  
  The experiment I want to run is not "can a local model run?" because we already know that it can. I want to know if, for people with beefed-out Macs for a start, we can get as close as possible to the ergonomics of a hosted provider with decent tool-calling performance: how to get caches to work well, how to improve the way we expose tools in harnesses for these models, and then scale it gradually to more hardware configs and later models.
  
  I also want everybody to have access to this. Engineers need hammers and a hammer that's locked behind a subscription in a data center in another country does not qualify. I know that the price tag on a Mac that can run this is itself astronomical, but I think it's more likely that this will go down. Even worse, Apple right now due to the RAM shortage does not even sell the Mac Studio with that much RAM. So yes, it's a selected group of people where ds4.c will start out.
  
  But despite all of that, what matters is that a critical mass of pepole start to focus their efforts on a thing, tinker with it, improve it, not locked away, out in the open, and most importantly not limited by what the hyperscalers make available.
  
  But if you have the right hardware and you care about local agents, I would love for you to try it within pi:
```
pi install https://github.com/mitsuhiko/pi-ds4
```
  My hope is that this becomes a useful forcing function to really polish one coding agent experience. But really, the focal point should be ds4.c itself.
May 07, 2026
1. 🔗 IDA Plugin Updates IDA Plugin Updates on 2026-05-07 rss
  IDA Plugin Updates on 2026-05-07
  
  Activity:
  - augur
    
    b1402e4f: chore: use workspace lints and add some restriction lints
  - capa
    
    c57422f9: Sync capa rules submodule
  - haruspex
    
    a6242685: fix: typo
    
    449424d9: fix: lints
    
    e19bf4d4: chore: use workspace lints and add some restriction lints
  - idafridascript
    
    ef2ebf74: fix(flutter_ssl_bypass): update comments and delay hook initialization
  - idawilli
    
    7f2ed4f0: idawilli: add idawilli.syntax for syntax highlighting with rich
    
    d6552f8f: migrate to pyproject and lint/format
  - pdb
    
    53b060e8: 改为通过LATEST_IDADIR环境变量来控制输出路径
  - rhabdomancer
    
    9554e1ee: fix: lints
    
    693d0460: chore: use workspace lints and add some restriction lints
2. 🔗 r/LocalLLaMA Collected the infinity stones rss
  
  | 2.3 TB of ram in here. 400+ vCores. All thats left is plugging it to the blackwell with the driver to do RDMA, and it’s over. Using Blackwells for prefill, RDMA to the studio mesh for decode. I think this would be the first heterogeneous cluster. I do, however, need help with the Tinygrad Driver to make this work. If anyone with any knowledge on these domains would like to collaborate, let me know via PM. We are very close here. submitted by /u/Street-Buyer-2428
  [link] [comments]
  ---|---
3. 🔗 r/Yorkshire Whitby - North Yorkshire rss
  
  | submitted by /u/tomthefear
  [link] [comments]
  ---|---
4. 🔗 r/Leeds What should I do about the stressed koi at a restaurant? rss
  
  I'm at a restaurant in Leeds, I'm sure you could figure out which one, which has a koi pond in the middle of the restaurant. It's covered by a large bridge and a thick mesh, and the fish are showing classic signs of stress (not moving, sitting near the bottom, jumping out of the water, and gasping at the surface). Is there a way for me to advocate for better health for them or is it a lost cause as they are the restaurant's property and technically taken care of? Sorry if this is silly it just makes me sad to see them in a bad state.
  
  submitted by /u/moonstone7152
  [link] [comments]
5. 🔗 r/york Goose on Dame Judi Dench Walk rss
  
  | Honk submitted by /u/NervousEnergy
  [link] [comments]
  ---|---
6. 🔗 crosspoint-reader/crosspoint-reader SD Card Fonts (m1-b4) release
  
  Pre-built .cpfont font files for CrossPoint Reader.
  
  Download individual files or use Settings > System > Download Fonts on the device.
  
  See SD Card Fonts documentation for details.
7. 🔗 r/Leeds I love this spot. rss
  
  Sidenote : anyone going warehouse this coming Tuesday ?
  
  submitted by /u/Auriv3x
  [link] [comments]
8. 🔗 r/york York City Parade rss
  
  | View from the bus! submitted by /u/York_shireman
  [link] [comments]
  ---|---
9. 🔗 r/reverseengineering The first FREE online WebAssembly Reverse Engineering workbench (and how we built it) rss
  
  submitted by /u/TrustSig
  [link] [comments]
10. 🔗 earendil-works/pi v0.74.0 release
  Changed
  - Updated repository links and package references for the move to earendil-works/pi-mono and @earendil-works/* package scopes.
11. 🔗 The Pragmatic Engineer The Pulse: AI load breaks GitHub – why not other vendors? rss
  Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover Big Tech and startups through the lens of senior engineers and engineering leaders. Today, we cover one out of four topics from last week 's The Pulse issue. Full subscribers received the article below seven days ago. If you 've been forwarded this email, you can subscribe here .
  
  GitHub's reliability has been beyond unacceptable recently: last month, third party measurements pinned it at one nine (right at 90%). This month, reliability has been down to zero nines - 86% - as per a third-party tracker, and last week, things got even worse: a frankly embarrassing data integrity incident, more outages, and a partial explanation from GitHub, eventually.
  
  Data integrity incident
  
  Last Thursday (23 April), this happened: PRs merged via the merge queue using the squash merge method produced incorrect merge commits, when the merge group contained more than one PR. Commits were reverted from subsequent merges: basically, commits were "lost" in the code that was merged!
  
  Thanks to a bug GitHub introduced, the service broke its integrity promise that pull requests would be merged as expected when using squash merge, which is a technique typically used to merge multiple small commits into a single, meaningful commit. This is a big deal: as data integrity promises are some of the most important ones, for services like GitHub.
  
  A total of 2,092 pull requests were impacted, and companies hit by the outage included Modal and Zipline. Effectively, GitHub pushed a bunch of work on affected customers who had to manually untangle and recover lost commits, which GitHub could offer zero assistance with.
  
  Customers had to manually go through their git history and restore missing code. After following manual recovery steps (reverting the squash commit and re-applying commits one by one), all commits should have been recovered.
  
  GitHub later emailed the list of affected commits to customers, but it's odd that GitHub executives seemed to downplay the nature of this outage. After all, an outage that messes with data integrity is a much bigger deal than something like a fall in availability where no data is corrupted.
  
  Can Duruk, software engineer at Modal, was unhappy about GitHub's muted response to the outage:
  
  "The COO going out of their way to find a huge denominator to make the impact appear small feels very dishonest; versus a sincere apology about how this invalidates their entire promise to their customers. We had to dig into their status page about this to even realize they just casually f***ed up our repo."
  
  Outages don't stop
  
  On Monday (27 April), pull requests and issues disappeared from GitHub's web UI:
  
  Pull requests go missing. Source:Mario Zechner Issues also not to be found. Source:David Cramer
  
  This had to do with an Elasticsearch outage on GitHub's backend: the cluster became overloaded and went down. So, while pull requests, issues, and projects didn't vanish altogether, they also didn't show up during the 6-hour-long outage.
  
  There were other outages this week:
  - Some pull requests not showing up (Tuesday, 28 April)
  - Problems with some GitHub Actions (the same day)
  - Incomplete pull requests in repositories (Wednesday, 29 April)
  Also on Tuesday (28 April), security firm Wiz disclosed a critical security issue, where a bad actor could get access to all repositories on GitHub and GitHub Enterprise server by using only a git push command. GitHub fixed the issue on GitHub.com within six hours, but GitHub Enterprise servers that were not updated remain vulnerable.
  
  Famous open source contributor quits GitHub in frustration
  
  On Tuesday, Mitchell Hashimoto, founder of HashiCorp, creator of Ghostty, announced GitHub was unfit for professional work and that he was moving off to Ghostty, the open source terminal that's his main focus. Mitchell's reasoning was dead simple: being on GitHub makes him unproductive (emphasis mine:)
  
  "The past month I've kept a journal where I put an "X" next to every date where a GitHub outage has negatively impacted my ability to work. Almost every day has an X. On the day I am writing this post, I've been unable to do any PR review for ~2 hours because there is a GitHub Actions outage. This is no longer a place for serious work if it just blocks you out for hours per day, every day.
  
  It's not a fun place for me to be anymore. I want to be there, but it doesn't want me to be there. I want to get work done and it doesn't want me to get work done. I want to ship software and it doesn't want me to ship software.
  
  I want it to be better, but I also want to code. And I can't code with GitHub anymore. I'm sorry. After 18 years, I've got to go. I'd love to come back one day, but this will have to be predicated on real results and improvements, not words and promises."
  
  Mitchell's experience suggests that GitHub's official status page is inaccurate from the point of view of a heavy user like himself. The third- party "missing GitHub status page" is likely to be a better estimation: where GitHub's reliability is at zero nines: at 85.51% uptime. That means that a part of GitHub was down for 2-3 hours, per day, on average, for the last 90 days (!!)
  
  Reliability woes: GitHub "not a place for serious work." Source: The Missing GitHub Status Page
  
  Mitchell's complaint sounds straightforward:
  1. As a professional software engineer, it's important to have tools that help you get work done
  2. For months, GitHub has got in the way of his work on open source projects via a flood of outages
  3. It makes no sense to use a product unfit for professional work.
  4. As GitHub shows no signs of improvement, it's worthwhile to move to a different solution which just works
  CTO blames AI agent-fuelled load spike
  
  GitHub CTO, Vlad Fedorov, shared an update on why reliability has been terrible for months at GitHub. He identified the load from agents being much bigger than expected as the culprit. Charts illustrating this were shared by GitHub:
  
  This chart looks eye-catching - but there's just one tiny issue: no Y axis! So, while it tells the story of the load going up slowly and then very fast, we're not told by how much. However, I managed to get data from GitHub, and below is the chart showing the actual load increase over two years:
  
  A load increase of ~3.5x, spread across two years, doesn 't seem so brutal at first glance. It is nothing like a load increase of 10x in a month, and a good chunk of it occurred in recent months. So, why can't GitHub handle it? In a blog post, Fedorov said:
  
  "A pull request can touch Git storage, mergeability checks, branch protection, GitHub Actions, search, notifications, permissions, webhooks, APIs, background jobs, caches, and databases. At large scale, small inefficiencies compound: queues deepen, cache misses become database load, indexes fall behind, retries amplify traffic, and one slow dependency can affect several product experiences."
  
  Here's how the per-second load numbers from January 2023 and today compare:
  
  GitHub took 15 years to achieve the 2023 numbers, and maybe it expected to continue growing in a comparable way in the future. If so, some engineering decisions about long-term infrastructure improvements would have been made obsolete by the arrival of AI agents.
  
  To add to GitHub 's challenges, the company is in the midst of a migration from its own data centers -> Azure. In October last year, GitHub started to move over to Azure - a project expected to take 12 months - because it already had constraints on its own data center capacity.
  
  Such large-scale infrastructure migrations are hard enough when the load on a service is relatively stable; just making sure nothing breaks takes a lot of effort. But moving at a time when load is spiking means that bugs can cause more visible outages. Of course, GitHub can secure a lot more compute capacity on Azure, now they know what to expect.
  
  But other major companies prepared for a 10x increase in infra load, so why not Microsoft / GitHub? A year ago, I did research on how Big Tech was preparing to respond to the impact of AI on their business. Google was improving its internal systems to accommodate for a 10x increase in load. As we covered in The Pragmatic Engineer, in July last year:
  
  "Google is preparing for 10x more code to be shipped. A former Google Site Reliability Engineer (SRE) told me:
  
  "What I'm hearing from SRE friends is that they are preparing for 10x the lines of code making their way into production."
  
  If any company has data on the likely impact of AI tools, it's Google. 10x as much code generated will likely also mean 10x more: code review, deployments, feature flags, source control footprint and, perhaps, even bugs and outages, if not handled with care."
  
  Predicted enormous load increases were not secret knowledge within the industry, yet it seems GitHub was blissfully ignorant of their potential size. According to Vlad, GitHub did eventually plan for a need to increase capacity by 10x, but this was in October 2025, months later. In February 2026, the company is now adjusting that expectation to 30x. He wrote:
  
  "We started executing our plan to increase GitHub's capacity by 10X in October 2025 with a goal of substantially improving reliability and failover. By February 2026, it was clear that we needed to design for a future that requires 30X today's scale."
  
  There's also the question of whether GitHub miscalculated how much time it had to prepare for explosive load growth, and whether it was caught off guard when that growth materialized months sooner than expected at the start of this year.
  
  Given GitHub only started to prepare for a major load increase in October, its current problems are unsurprising. At the scale of GitHub, it's common enough for each team owning a service to plan a year ahead on how much load their service will have, and hardware resources like storage, VMs, and networking are allocated accordingly. Load planning can account for up to half of the preparations, and when reality doesn't conform to plans, some systems can struggle to scale up.
  
  So, on one hand, dealing with a 3.5x increase in load over 2 years should not be such a big deal for most services; especially not ones which can be horizontally scaled (when there's not much state, and scaling is achieved simply by adding new nodes.) But GitHub probably stores a lot more state with pull requests, workflows, projects, etc. This probably makes scaling more tricky when it comes to databases and systems running workflows.
  
  GitHub also has 18 years of tech debt on its hands, and thousands of staff to align as "organizational overhead." As its service load grows faster than before, responding is harder due to all that accumulated "debt":
  - Tech debt: many systems at the company are 10+ years old and are likely patched up, making them more difficult and risky to change
  - Organizational debt: around 4,000 people work at GitHub, of whom 1,000 are engineers. Teams have dependencies with each other, and even seemingly simple work can require dozens of engineers to work together
  - Customer expectations: GitHub cannot break customer workflows, even if doing so would mean changes to systems happen faster
  GitHub finds itself in the 'innovator's dilemma': the company became successful because it built developer workflows that made sense, pre-AI, and it used to be able to accurately forecast service load changes. But now that engineering teams' workflows include AI agents, GitHub's own workflows are not necessarily the best fit, and the company failed to forecast service-level changes.
  
  Other vendors floored by AI load? Not really
  
  One thing that doesn't add up about the situation is that other vendors who are presumably experiencing similar load spikes don't appear to be suffering with reliability issues as much. Vercel, Linear, Resend, Railway, Sentry, and other infra providers see record-level growth thanks to AI, but keep up with the load.
  
  Yes, it's true that AI vendors like Anthropic, OpenAI, and Cursor have some reliability issues, but it's not at the scale of GitHub's. GitHub's direct competitors, GitLab and Bitbucket, presumably see load going up similarly, but they're not going down as much.
  
  An obvious question is how much of GitHub 's pain is self-inflicted? With Microsoft as owner, it has more resources at its disposal than any competitor or startup, and yet failed to predict load increases and is too big to respond with the nimbleness of a startup.
  
  It's undeniable that solving for a major load increase is a hard challenge; it's when the difference between average and standout engineering teams is apparent. GitHub hasn't been responding like a world-class engineering org.
  
  GitHub alternatives?
  
  Every regular user of GitHub feels the pain of ongoing outages. As a dev, you can either hope Microsoft will eventually improve reliability, or seek alternatives. As covered above, Mitchell has chosen to quit and is currently deciding where to take Ghostty.
  
  The obvious alternatives are GitHub's biggest competitors, GitLab, and Bitbucket. Each offers Git hosting, and neither comes with the uptime woes that GitHub is suffering from.
  
  Self-hosted solutions are also an option, like self-hosting your git repo, or going with a self-hosted forge like Forgejo, which is an open source, local-first GitHub alternative.
  
  I also suspect that, soon enough, we'll see startups offering GitHub-like code hosting capabilities, while offering more robust uptime and being architected to handle the 30x-or-more scale which GitHub hopes one day to support.
  
  Read the full issue of last week 's The Pulse , or check out this week 's The Pulse . This week 's issue covers:
  1. Did Anthropic turn hostile on devs because capacity was running low?
  2. Amazon finally allows Claude Code and Codex usage
  3. Meta forcefully assigns engineers to data labelling ahead of job cuts
  4. New trend: small "AI-forward" teams
  5. Industry Pulse: why Meta tracks employees' computer activity, OpenAI starts to move off Datadog, Apple lets slip it uses Claude Code, GitHub -> Xbox transfers at Microsoft, VS Code inserted "coathored by Copilot" even when Copilot did nothing, analysis of the Coinbase layoffs
12. 🔗 r/wiesbaden Freitags essen gehen zu zweit? rss
  
  Moin würde gerne mit einer Freundin an einem Freitag in Wiesbaden essen gehen, es sollte gemütlich sein und nicht so laut. Also eine Atmosphäre haben die es her gibt das man sich gut unterhalten kann. Es sollte vegan/vegetarische Optionen geben. Ich wäre sehr dankbar für eure Tipps da ich mich nicht so gut auskenne.
  
  submitted by /u/JohnTheMonkey2
  [link] [comments]
13. 🔗 r/Leeds why is everyone in fancy dress? rss
  
  I'm in the city centre right now and just wondering why everyone is dressed up? I thought it was the otley run but now I'm unsure because the people in fancy dress are everywhere. This is just me being nosey but I can't find any info about it online so I was wondering if anyone knows.
  
  submitted by /u/MeowTS13
  [link] [comments]
14. 🔗 Simon Willison Notes on the xAI/Anthropic data center deal rss
  
  There weren't a lot of big new announcements from Anthropic at yesterday's Code w/ Claude event, but the biggest by far was the deal they've struck with SpaceX/xAI to use "all of the capacity of their Colossus data center".
  
  As I mentioned in my live blog of the keynote, that's the one with the particularly bad environmental record. The gas turbines installed to power the facility initially ran without Clean Air Act permits or pollution control devices, which they got away with by classifying them as "temporary". Credible reports link it to increases in hospital admissions relating to low air quality.
  
  Andy Masley, one of the most prolific voices pushing back against misleading rhetoric about data centers (see The AI water issue is fake and Data center land issues are fake), had this to say about Colossus:
  
  I would simply not run my computing out of this specific data center
  
  I get that Anthropic are severely compute-constrained, but in a world where the very existence of "AI data centers" is a red-hot political issue (see recent news out of Utah for a fresh example), signing up with this particular data center is a really bad look.
  
  There was a lot of initial chatter about how this meant xAI were clearly giving up on their own Grok models, since all of their capacity would be sold to Anthropic instead. That was a misconception - Anthropic are getting Colossus 1, but xAI are keeping their larger Colossus 2 data center for their own work.
  
  As an interesting side note, the night before the Anthropic announcement, xAI sent out a deprecation notice for Grok 4.1 Fast and several other models providing just two weeks' notice before shutdown, reported here by @xlr8harder from SpeechMap:
  
  This is terrible @xai. I just spent time and money to migrate to grok 4.1 fast, and you're disabling it with less than two weeks notice, after releasing it in November, with no migration path to a fast/cheap alternative.
  
  I will never depend on one of your products again.
  
  Here's SpeechMap's detailed explanation of how they selected Grok 4.1 Fast for their project in March.
  
  Were xAI serving those models out of Colossus 1?
  
  xAI owner Elon Musk (who previously delighted in calling Anthropic "Misanthropic") tweeted the following:
  
  By way of background for those who care, I spent a lot of time last week with senior members of the Anthropic team to understand what they do to ensure Claude is good for humanity and was impressed. [...]
  
  After that, I was ok leasing Colossus 1 to Anthropic, as SpaceXAI had already moved training to Colossus 2.
  
  And then shortly afterwards:
  
  Just as SpaceX launches hundreds of satellites for competitors with fair terms and pricing, we will provide compute to AI companies that are taking the right steps to ensure it is good for humanity.
  
  We reserve the right to reclaim the compute if their AI engages in actions that harm humanity.
  
  Presumably the criteria for "harm humanity" are decided by Elon himself. Sounds like a new form of supply chain risk for Anthropic to me!
  
  You are only seeing the long-form articles from my blog. Subscribe to /atom/everything/ to get all of my posts, or take a look at my other subscription options.
15. 🔗 r/wiesbaden Erfahrungen mit Autohaus Can in Wiesbadener Str. ? rss
  
  Wer hat Erfahrung mit dem oben genannten Händler? Seriös oder nicht ?
  
  submitted by /u/HagebuddneLard
  [link] [comments]
16. 🔗 r/LocalLLaMA WARNING: Open-OSS/privacy-filter MALWARE rss
  
  There's this new "model" on Hugging Face titled Open-OSS/privacy-filter which is actually a customized infostealer virus. It's a fake version of the OpenAI privacy filter and it uses a Python-based dropper (loader.py) which downloads a malicious PowerShell command from the internet, which spawns another PowerShell command and downloads a shady EXE file and runs it using Task Scheduler.
  
  Here's a behavior analysis of what the EXE does: https://tria.ge/260507-tnftrsfx5x/behavioral1
  
  I also reported both the dropper and the EXE to Microsoft.
  
  I also reported the repo to HF.
  
  If you use Linux (which is easier to use for AI/ML) you are unaffected as this is a Windows virus.
  
  submitted by /u/charles25565
  [link] [comments]
17. 🔗 tomasz-tomczyk/crit v0.11.0 release
  What's Changed
  
  Big milestone! Crit crossed more than 500 commits and 250 stars. You can now install it directly from homebrew and we released a Windows version!
  
  Thank you to everyone who contributed to get us here! I'd appreciate if you would share it with your colleagues or on Twitter! It helps a lot!
  
  crit is now in homebrew-core — no tap needed. If you installed from the tap, upgrade once with:
```
brew uninstall crit && brew install crit
```
  Future updates will arrive via brew upgrade like any other formula.
  
  Windows + WSL support
  
  feat: add Windows + WSL support replaces Unix-only syscalls with cross- platform abstractions, adds rundll32 browser launch on native Windows, and keeps the existing WSL fallback chain. crit now works end-to-end on Windows natively.
  - feat: add Windows + WSL support by @tomasz-tomczyk in #459
  General
  - feat: add --file flag and better errors to crit comment --json by @tomasz-tomczyk in #480
  - fix: deny rather than silently auto-approve on daemon shutdown by @tomasz-tomczyk in #483 - Thank you @TalAmuyal for raising!
  - fix: remove daemon 1h idle timeout by @tomasz-tomczyk in #477 - Thank you @TalAmuyal for reporting!
  - fix: audit fixes — path safety, shared reads, dir pruning by @tomasz-tomczyk in #485
  - fix: chain reloadForScope when scope/commit changes mid-flight by @tomasz-tomczyk in #482
  - fix: scope unified diff comment highlight to commented side by @tomasz-tomczyk in #479
  - fix: header context chip colors and hidden unresolved count by @tomasz-tomczyk in #486
  - fix: preserve CLI argument order for files by @tomasz-tomczyk in #474
  - docs: switch primary brew install to homebrew-core by @tomasz-tomczyk in #481 - thanks @omervk for contributing to homebrew on our behalf!
  - docs: cleanup stale spec by @tomasz-tomczyk
  - refactor: drop auto-detection of stacked PRs / local stacks by @tomasz-tomczyk in #478
  Full Changelog : v0.10.5...v0.11.0
18. 🔗 earendil-works/pi v0.73.1 release
  New Features
  - Self-update support for the npm scope migration : pi update --self now supports the upcoming package rename from @mariozechner/pi-coding-agent to @earendil-works/pi-coding-agent. After the new package is published, existing global installs can update through the normal self-update flow; pi will uninstall the old global package and install the package name returned by the version check endpoint.
  - Interactive OAuth login selection : OAuth providers can now present multiple login choices in /login, enabling provider-specific interactive authentication flows. See Providers.
  - JSONC-stylemodels.json parsing: models.json now allows comments and trailing commas, making custom provider and model configuration easier to maintain. See Providers and Custom Providers.
  Added
  - Added interactive login selection support so OAuth providers can present multiple login choices (#4190 by @mitsuhiko).
  Changed
  - Changed pi update --self to honor the active package name returned by the Pi version check endpoint, defaulting to the current package when omitted and uninstalling the old global package before installing a renamed package.
  - Changed extension loading to use upstream jiti 2.7 instead of the @mariozechner/jiti fork (#4244 by @pi0).
  - Changed models.json parsing to allow comments and trailing commas (#4162 by @julien-c).
  Fixed
  - Fixed pi -p treating prompts that start with YAML frontmatter as extension flags instead of user messages (#4163).
  - Fixed pending tool results not updating in the live TUI after toggling thinking block visibility while the tool is running (#4167).
  - Fixed /copy reporting success on Linux without writing the clipboard on Wayland-only compositors (Hyprland, Niri, ...) by skipping the X11-only native addon on Linux and routing through wl-copy/xclip/xsel instead (#4177).
  - Fixed HTML session exports to strip skill wrapper XML from rendered user messages (#4234 by @aliou).
  - Fixed OpenAI-compatible chat completion streams that interleave content and tool-call deltas in the same choice.
  - Fixed OpenAI Codex OAuth refresh failures writing directly to stderr while the TUI is active (#4141).
  - Fixed OpenAI Codex Responses requests to send a non-empty system prompt (#4184).
  - Fixed Kimi For Coding model resolution for the Kimi K2 P6 alias (#4218).
  - Fixed Kitty inline image redraws to stay within TUI-owned terminal regions and avoid writing below the active viewport.
  - Fixed Kitty inline image rendering by letting the terminal allocate image ids and bounding parsed image ids to valid values.
  - Fixed inline image capability detection to disable inline images in cmux terminals.
19. 🔗 r/Leeds Leeds cycle lane network is a 'step in the right direction', say campaigners rss
  
  Just wanted to add a bit of positivity around the new cycle lanes in Leeds, as there seems to be a lot of negativity whenever the topic comes up.
  
  Speaking from personal experience, they’ve genuinely changed my life for the better. Up until last year, I hadn’t really ridden a bike since I was a teenager. But after seeing more segregated cycle lanes appear around my area, I realised I could get from my house into the city centre in under 30 minutes almost entirely on protected infrastructure.
  
  I've started cycling regularly, and eventually I sold my car altogether. I now use my bike every other day for commuting, trips into town, canal rides etc etc. I’m healthier, happier, saving loads of money, and honestly enjoy getting around Leeds far more now. It's hilly in parts but stick to a low gear and it's perfectly manageable, ebikes are great alternatives too and can be purchased through the cycle to work schemes (I saved hundreds on my bike).
  
  I also cycle year-round, and I think people massively overestimate how “hardcore” cycling is in the UK. Our weather really isn’t that different from places like the Netherlands. Most of the time you’re completely fine with a decent jacket.
  
  I know the network still has gaps and improvements to make, but for me it’s been a massive step in the right direction and has made cycling feel accessible to normal people again, not just super confident road cyclists.
  
  Just wondering if anyone else has had a similar experience or enjoys using the bike lanes too?
  
  submitted by /u/_testingdude
  [link] [comments]
20. 🔗 r/reverseengineering VLC Media Player MKV Exploit Analysis rss
  
  submitted by /u/eshard-cybersec
  [link] [comments]
21. 🔗 r/york Different angles on one perfect subject 💫 rss
  
  | submitted by /u/Coffee000Oopss
  [link] [comments]
  ---|---
22. 🔗 r/york Diamond ring to sell. rss
  
  Hello,
  
  I have a white gold diamond engagement ring to sell. Where would be the best place in York city centre to get rid of it?
  
  submitted by /u/EmRoan78
  [link] [comments]
23. 🔗 livestorejs/livestore v0.0.0-snapshot-57d1c10da041b07ec78ff6f83a6a07cd690b1990: fix: canonicalize event args in equality comparator (#1218) release
  
  Locally-encoded events with Schema.UndefinedOr (or loose
  Schema.optional) fields produce args of shape { ..., flag: undefined },
  while JSON wire transport drops the undefined-valued key. The current
  isEqualEncoded comparator used deepEqual directly on the args, which
  counts keys via Object.keys and treats the two forms as unequal. Sync
  merge therefore falsely took the rebase path when an event came back from
  the sync provider, and state-dependent materializers re-ran on
  already-mutated state — surfacing as MaterializerHashMismatchError.
  
  This regressed in #1161, which replaced
  JSON.stringify(a.args) === JSON.stringify(b.args) with deepEqual to
  fix a key-order bug. The previous form masked the asymmetry because both
  sides were stringified through JSON.stringify, dropping undefined
  symmetrically.
  
  Fix by canonicalizing both args through JSON.parse(JSON.stringify(...))
  before deepEqual. Composes correctly with #1161's key-order fix:
  deepEqual is order-independent (uses Object.keys for membership), and
  the JSON round-trip canonicalizes the value-level shape (drops undefined,
  NaN→null, sparse-array holes) without introducing string-order
  dependency.
  
  Refs #1217.
24. 🔗 livestorejs/livestore v0.0.0-snapshot-40fa62e1f50f8aff0fc69da77c04f8136ae2e510: fix: canonicalize event args in equality comparator (#1218) release
  
  Locally-encoded events with Schema.UndefinedOr (or loose
  Schema.optional) fields produce args of shape { ..., flag: undefined },
  while JSON wire transport drops the undefined-valued key. The current
  isEqualEncoded comparator used deepEqual directly on the args, which
  counts keys via Object.keys and treats the two forms as unequal. Sync
  merge therefore falsely took the rebase path when an event came back from
  the sync provider, and state-dependent materializers re-ran on
  already-mutated state — surfacing as MaterializerHashMismatchError.
  
  This regressed in #1161, which replaced
  JSON.stringify(a.args) === JSON.stringify(b.args) with deepEqual to
  fix a key-order bug. The previous form masked the asymmetry because both
  sides were stringified through JSON.stringify, dropping undefined
  symmetrically.
  
  Fix by canonicalizing both args through JSON.parse(JSON.stringify(...))
  before deepEqual. Composes correctly with #1161's key-order fix:
  deepEqual is order-independent (uses Object.keys for membership), and
  the JSON round-trip canonicalizes the value-level shape (drops undefined,
  NaN→null, sparse-array holes) without introducing string-order
  dependency.
  
  Refs #1217.
25. 🔗 r/Yorkshire 'We're all human': Reform response to Sheffield candidate accused of Nazi praise rss
  
  | submitted by /u/johnsmithoncemore
  [link] [comments]
  ---|---
26. 🔗 r/LocalLLaMA Qwen3.6 27B uncensored heretic v2 Native MTP Preserved is Out Now With KLD 0.0021, 6/100 Refusals and the Full 15 MTPs Preserved and Retained, Available in Safetensors, GGUFs and NVFP4s formats. rss
  
  llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved: https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP- Preserved
  
  llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-GGUF: https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP- Preserved-GGUF
  
  llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-NVFP4-GGUF: https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP- Preserved-NVFP4-GGUF
  
  llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-NVFP4: https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP- Preserved-NVFP4
  
  llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-NVFP4-MLP- Only: https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored- heretic-v2-Native-MTP-Preserved-NVFP4-MLP-Only
  
  llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-GPTQ-Int4: https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP- Preserved-GPTQ-Int4
  
  All are confirmed to have their full 15 MTPs retained and preserved.
  
  Comes with benchmark too.
  
  Find all my models here: HuggingFace- LLMFan46
  
  submitted by /u/LLMFan46
  [link] [comments]
27. 🔗 livestorejs/livestore v0.0.0-snapshot-fa3f37cccde378135bc5743248899f1267f65cf6 release
  
  Merge pull request #1224 from livestorejs/schickling/2026-05-06-prese…
28. 🔗 livestorejs/livestore v0.0.0-snapshot-e3c31eaabde4b316502663a4322d439564068380 release
  
  Merge pull request #1224 from livestorejs/schickling/2026-05-06-prese…
29. 🔗 livestorejs/livestore v0.0.0-snapshot-b554d716cbedf6eaf7e754b645d826b785dc84fc release
  
  Merge pull request #1224 from livestorejs/schickling/2026-05-06-prese…
30. 🔗 livestorejs/livestore v0.0.0-snapshot-320a6af177312b557c1d1634216e40755b6ac607 release
  
  Merge pull request #1224 from livestorejs/schickling/2026-05-06-prese…
31. 🔗 livestorejs/livestore v0.0.0-snapshot-6c342deaf05be237b189776749a520625a63c433 release
  
  Merge pull request #1224 from livestorejs/schickling/2026-05-06-prese…
32. 🔗 livestorejs/livestore v0.0.0-snapshot-04b628f68dcf3520227c63f52b0a91c411af6b56 release
  
  Merge pull request #1224 from livestorejs/schickling/2026-05-06-prese…
33. 🔗 r/Leeds Does anyone else remember when you could buy cats at kirkgate market ? rss
  
  And pirated dad's,before 2010 and other crazy stuff or I'm I confusing it with the wrong place I'm pretty sure we got a cat from there some time in the 2000's but I could be wrong
  
  submitted by /u/TipAdditional4625
  [link] [comments]
34. 🔗 Console.dev newsletter honker rss
  
  Description: Durable queues for SQLite.
  
  What we like: Adds pub/sub, task queue, and event streams to SQLite. No need for client polling or a broker. Shipped as a SQLite extension with bindings for Python, Node, Rust, Go, Ruby, etc. Allows an INSERT and enqueue as part of the same transaction (with rollback). Also supports cron.
  
  What we dislike: Polling is via a SELECT per millisecond per database, which should be lightweight, but is an extra high-frequency query. Still experimental.
35. 🔗 Console.dev newsletter Plow rss
  
  Description: HTTP benchmarking.
  
  What we like: Runs HTTP requests and benchmarks latency and response codes. Configurable concurrency, duration, request count, and ramp up time. Outputs stats to the terminal in real time. Supports JSON output and provides a web UI.
  
  What we dislike: Pretty straightforward HTTP request support, including different methods e.g. POST (with body). For more complex benchmarks, k6 is a good, scriptable alternative.
May 06, 2026
1. 🔗 IDA Plugin Updates IDA Plugin Updates on 2026-05-06 rss
  IDA Plugin Updates on 2026-05-06
  
  Activity:
  - hrtng
    
    f830fda5: "Jump to visited indirect call… (Shift-J)" removed as duplicate, no…
  - idafridascript
    
    222a9114: docs(readme): :memo: update MCP server configuration format in README…
  - sharingan
    
    1feae0e0: organize file & folder
2. 🔗 r/Harrogate Harrogate Traffic Relief rss
  
  The traffic in and around Harrogate is a joke, and has been commented on for as long as I can remember.
  
  but I’m curious, I’ve no idea how to solve it so what are people’s suggestions? It seems to me there’s just no where to speed flow or reroute around bottlenecks.
  
  Better busses? By-passes? How do we fix it?
  
  submitted by /u/CyclePrevious9043
  [link] [comments]
3. 🔗 Jeremy Fielding (YouTube) Wall-E Is Getting Complicated. rss
  
  If you want to join my community of makers and Tinkers consider getting a YouTube membership 👉 https://www.youtube.com/@JeremyFieldingSr/join
  
  If you want to chip in a few bucks to support these projects and teaching videos, please visit my Patreon page or Buy Me a Coffee. 👉 https://www.patreon.com/jeremyfieldingsr 👉 https://www.buymeacoffee.com/jeremyfielding
  
  Social media, websites, and other channel
  
  Instagram https://www.instagram.com/jeremy_fielding/?hl=en Twitter 👉https://twitter.com/jeremy_fielding TikTok 👉https://www.tiktok.com/@jeremy_fielding0 LinkedIn 👉https://www.linkedin.com/in/jeremy-fielding-749b55250/ My websites 👉 https://www.jeremyfielding.com 👉https://www.fatherhoodengineered.com My other channel Fatherhood engineered channel 👉 https://www.youtube.com/channel/UC_jX1r7deAcCJ_fTtM9x8ZA
  
  Notes:
  
  Technical corrections
  
  Nothing yet
4. 🔗 @HexRaysSA@infosec.exchange New training updates, plus Spring discounts: mastodon
  
  New training updates, plus Spring discounts:
  • On-demand Starter → 20% off with code STR20
  • AI-powered Intermediate → 40% off (May 12) with code AI-INTER40
  • Malware, Decompiler & Programming → 30% off with code SPRING30
  
  Details + course breakdown: https://hex-rays.com/blog/spring-training- sale-2026
  *Limited time offer, check blog for expiration dates!
5. 🔗 r/LocalLLaMA ZAYA1-8B: Frontier intelligence density, trained on AMD rss
  
  | submitted by /u/carbocation
  [link] [comments]
  ---|---
6. 🔗 r/york Moving back - flat hunting rss
  
  I'm coming home! So excited to be moving back but slightly worried about finding a flat after a few years abroad. I know the drill since the last time I lived there, but wanted to see if anything has changed - do things still move at the speed of light - by the time something hits Rightmove, it's already full of viewings and likely to be gone tomorrow - is that still the case?
  
  I can't remember what month most student lets turn over / when the most availability is...? (I know the new system may impact this)
  
  Should I just book a hotel and wait till I'm in town to sort out viewings? (and trust I'll find somewhere within a week?)
  
  Budget is 1.1-1.5k, would like to be relatively near the uni. I know the dust is still settling from the new Renters' rights and I've read so many posts on here about where to look/ agents to avoid etc, but curious how things feel locally lately.
  
  Last but not least - any anecdotes for getting pets approved since the rule changes? Any differences between getting a cat approved (vs dogs)?
  
  Thanks!
  
  submitted by /u/fruitloopfitness
  [link] [comments]
7. 🔗 r/Leeds Does anyone remember Toyworld Megastore? rss
  
  As a kid I loved this toy shop, it was on the Headrow, attached to the Headrow Shopping Centre (later turned into the core, now demolished) and was to right of the entrance, which the same unit later became GAME. It seems to have had a very short lifespan, opening and closing in the mid 2000s but having another store on the top floor of the Headrow Shopping centre in the 90s.
  
  Some of the only info I can find online, is my own reddit post from 3 years ago, https://www.reddit.com/r/Leeds/comments/z57afp/does_anyone_remember_toyworld_megastore/
  
  I'd love to find a photo of the store, or literally any info/memories - it's basically all gone and I'm so annoyed at myself for not having saved the one photo that existed 3 years ago.
  
  Thank you in advance!
  
  submitted by /u/Same_Ability3423
  [link] [comments]
8. 🔗 r/Yorkshire Silktone Waggonway rss
  
  | I create short history forgotten videos around Yorkshire and specifically Barnsley, here's my latest short Silkstone Waggonway submitted by /u/9arke1
  [link] [comments]
  ---|---
9. 🔗 Hex-Rays Blog New Training Formats, New Workflows, New Skills rss
  
  We’ve made meaningful updates to our training lineup with the introduction of a new on-demand format for beginners, integration of AI into our Intermediate course, and expanded hands-on content across advanced trainings.
10. 🔗 Simon Willison Live blog: Code w/ Claude 2026 rss
  
  I'm at Anthropic's Code w/ Claude event today. Here's my live blog of the morning keynote sessions.
  
  You are only seeing the long-form articles from my blog. Subscribe to /atom/everything/ to get all of my posts, or take a look at my other subscription options.
11. 🔗 r/Leeds An afternoon in Leeds. rss
  
  Today I got a lovely change of pace, a hot tap in Leeds just 2 miles from where I live which is great because I've been perpetually up near Consett and Seal Sands sorting out P11's and staying in impersonal hotels and pubs.
  
  So I had a wander into Leeds City Centre on a weekday after sorting out the permits, the change of pace compared to the weekend is huge. Its been years since I've been into Leeds during the week for leisure.
  
  Found it nice to just wander, Im just having a coffee in the indoor market. My wife's coming through after she finishes work and Im treating us to Blue Sakura.
  
  Just some aimless musing. Leeds is a good place and it deserves some aimless musing over a nice coffee.
  
  submitted by /u/EdwardJSuperman
  [link] [comments]
12. 🔗 r/LocalLLaMA None of this will ever get stolen rss
  
  | It's crazy that they're thinking of doing this. There are problems with people stealing catalytic converters off people's cars and now they want to put a rack outside your house!? submitted by /u/martin_xs6
  [link] [comments]
  ---|---
13. 🔗 r/york Lost keys rss
  
  I lost a set of keys with a black carabiner on them, two old style keys and one modern one, within the nunnery lane area.
  
  Any leads?
  I'm really worried😓
  
  submitted by /u/soupygirls
  [link] [comments]
14. 🔗 Simon Willison Vibe coding and agentic engineering are getting closer than I'd like rss
  
  I recently talked with Joseph Ruscio about AI coding tools for Heavybit's High Leverage podcast: Ep. #9, The AI Coding Paradigm Shift with Simon Willison. Here are some of my highlights, including my disturbing realization that vibe coding and agentic engineering have started to converge in my own work.
  
  One thing I really enjoy about podcasts is that they sometimes push me to think out loud in a way that exposes an idea I've not previously been able to put into words.
  
  Vibe coding and agentic engineering are starting to overlap
  
  A few weeks after vibe coding was first coined I published Not all AI-assisted programming is vibe coding (but vibe coding rocks), where I firmly staked out my belief that "vibe coding" is a very different beast from responsible use of AI to write code, which I've since started to call agentic engineering.
  
  When Joseph brought up the distinction between the two I had a sudden realization that they're not nearly as distinct for me as they used to be:
  
  Weirdly though, those things have started to blur for me already, which is quite upsetting.
  
  I thought we had a very clear delineation where vibe coding is the thing where you're not looking at the code at all. You might not even know how to program. You might be a non-programmer who asks for a thing, and gets a thing, and if the thing works, then great! And if it doesn't, you tell it that it doesn't work and cross your fingers.
  
  But at no point are you really caring about the code quality or any of those additional constraints. And my take on vibe coding was that it's fantastic, provided you understand when it can be used and when it can't.
  
  A personal tool for you, where if there's a bug it hurts only you, go ahead!
  
  If you're building software for other people, vibe coding is grossly irresponsible because it's other people's information. Other people get hurt by your stupid bugs. You need to have a higher level than that.
  
  This contrasts with agentic engineering where you are a professional software engineer. You understand security and maintainability and operations and performance and so forth. You're using these tools to the highest of your own ability. I'm finding the scope of challenges I can take on has gone up by a significant amount because I've got the support of these tools.
  
  But I'm still leaning on my 25 years of experience as a software engineer.
  
  The goal is to build high quality production systems: if you're building lower quality stuff faster, I think that's bad. I want to build higher quality stuff faster. I want everything I'm building to be better in every way than it was before.
  
  The problem is that as the coding agents get more reliable, I'm not reviewing every line of code that they write anymore, even for my production level stuff.
  
  I know full well that if you ask Claude Code to build a JSON API endpoint that runs a SQL query and outputs the results as JSON, it's just going to do it right. It's not going to mess that up. You have it add automated tests, you have it add documentation, you know it's going to be good.
  
  But I'm not reviewing that code. And now I've got that feeling of guilt: if I haven't reviewed the code, is it really responsible for me to use this in production?
  
  The thing that really helps me is thinking back to when I've worked at larger organizations where I've been an engineering manager. Other teams are building software that my team depends on.
  
  If another team hands over something and says, "hey, this is the image resize service, here's how to use it to resize your images"... I'm not going to go and read every line of code that they wrote.
  
  I'm going to look at their documentation and I'm going to use it to resize some images. And then I'm going to start shipping my own features. And if I start running into problems where the image resizer thing appears to have bugs or the performance isn't good, that's when I might dig into their Git repositories and see what's going on. But for the most part I treat that as a semi-black box that I don't look at until I need to.
  
  I'm starting to treat the agents in the same way. And it still feels uncomfortable, because human beings are accountable for what they do. A team can build a reputation. I can say "I trust that team over there. They built good software in the past. They're not going to build something rubbish because that affects their professional reputations."
  
  Claude Code does not have a professional reputation! It can't take accountability for what it's done. But it's been proving itself anyway - time and time again it's churning out straightforward things and doing them right in the style that I like.
  
  There's an element of the normalization of deviance here - every time a model turns out to have written the right code without me monitoring it closely there's a risk that I'll trust it at the wrong moment in the future and get burned.
  
  The new challenge of evaluating software
  
  It used to be if you found a GitHub repository with a hundred commits and a good readme and automated tests and stuff, you could be pretty sure that the person writing that had put a lot of care and attention into that project.
  
  And now I can knock out a git repository with a hundred commits and a beautiful readme and comprehensive tests of every line of code in half an hour! It looks identical to those projects that have had a great deal of care and attention. Maybe it is as good as them. I don't know. I can't tell from looking at it. Even for my own projects, I can't tell.
  
  So I realized what I value more than the quality of the tests and documentation is that I want somebody to have used the thing. If you've got a vibe coded thing which you have used every day for the past two weeks, that's much more valuable to me than something that you've just spat out and hardly even exercised.
  
  The bottlenecks have shifted
  
  If you can go from producing 200 lines of code a day to 2,000 lines of code a day, what else breaks? The entire software development lifecycle was, it turns out, designed around the idea that it takes a day to produce a few hundred lines of code. And now it doesn't.
  
  It's not just the downstream stuff, it's the upstream stuff as well. I saw a great talk by Jenny Wen, who's the design leader at Anthropic, where she said we have all of these design processes that are based around the idea that you need to get the design right - because if you hand it off to the engineers and they spend three months building the wrong thing, that's catastrophic.
  
  There's this whole very extensive design process that you put in place because that design results in expensive work. But if it doesn't take three months to build, maybe the design process can be a whole lot riskier because cost, if you get something wrong, has been reduced so much.
  
  Why I'm still not afraid for my career
  
  When I look at my conversations with the agents, it's very clear to me that this is moon language for the vast majority of human beings.
  
  There are a whole bunch of reasons I'm not scared that my career as a software engineer is over now that computers can write their own code, partly because these things are amplifiers of existing experience. If you know what you're doing, you can run so much faster with them. [...]
  
  I'm constantly reminded as I work with these tools how hard the thing that we do is. Producing software is a ferociously difficult thing to do. And you could give me all of the AI tools in the world and what we're trying to achieve here is still really difficult. [...]
  
  Matthew Yglesias, who's a political commentator, yesterday tweeted, "Five months in, I think I've decided that I don't want to vibecode — I want professionally managed software companies to use AI coding assistance to make more/better/cheaper software products that they sell to me for money." And that feels about right to me. I can plumb my house if I watch enough YouTube videos on plumbing. I would rather hire a plumber.
  
  On the threat to SaaS providers of companies rolling their own solutions instead:
  
  I just realized it's the thing I said earlier about how I only want to use your side project if you've used it for a few weeks. The enterprise version of that is I don't want a CRM unless at least two other giant enterprises have successfully used that CRM for six months. [...] You want solutions that are proven to work before you take a risk on them.
  
  You are only seeing the long-form articles from my blog. Subscribe to /atom/everything/ to get all of my posts, or take a look at my other subscription options.
15. 🔗 r/reverseengineering pyghidra-mcp Meets Ghidra GUI: Drive Project-Wide RE with Local AI rss
  
  submitted by /u/onlinereadme
  [link] [comments]
16. 🔗 r/york York station gateway what do you think? rss
  
  | submitted by /u/Coffee000Oopss
  [link] [comments]
  ---|---
17. 🔗 r/Leeds I bought a job lot of antique postcards from Leeds off eBay rss
  
  When I saw 50 antique postcards of Leeds on eBay for £20 it was was a no brainer of a buy!
  
  Most date to the first decade of the 20th century and they include lovely, stylised images of streets that look so familiar but also very different. Some also have messages on the back, frankly irrisitable to a nosy person such as myself.
  
  I've posted a gallery of some of the best ones on my Leeds history newsletter, Bury the Leeds, which is free to read and to subscribe to.
  
  https://burytheleeds.substack.com/p/looking-back-at-leeds-through-antique
  
  My favourite is the image of Headingley from 1909 which includes the beast of a stump of the Shire Oak, an ancient tree that was said to have stood on Otley Road for 1,000 years. By the 20th century, only a hulking stump remained before that was destroyed during a storm in 1941. The Original Oak pub is named after it and so is the Skyrack, which is an old timey derivation of 'Shire Oak'.
  
  I also love the one of the fashionable ladies promenading down Woodhouse Moor in 1904 and the very evocative shots of Briggate and Boar Lane, when trams ruled. You can really imagine how these busy streets must have sounded back then.
  
  I'm giving the postcards away with a book I've made featuring some of my most interesting and unusual stories about the city. I know several r/Leeds redditors have ordered copies. I'm celebrating one year of this project now so thanks for the support and to the mods!
  
  submitted by /u/bluetrainlinesss
  [link] [comments]
18. 🔗 r/LocalLLaMA Bad news: Apple drops high-memory Mac Studio configs rss
  
  | Looks like Apple has quietly killed off the higher-memory Mac Studio options. The M3 Ultra Mac Studio is now only available with 96GB RAM. The 512GB option was already removed back in March, and now the 256GB config is gone too. Apple has said both the Mac Studio and Mac mini will stay supply-constrained for the next few months. The Mac mini is also stuck at 48GB RAM max for now. Probably their high-memory chip stock got too expensive to keep producing. This is a real bummer for us! Big unified memory configs were one of the few (relatively) affordable ways to run large models locally. I am glad I own the M3 Utlra 512, will definitely keep this on (my favorite local model is Qwen 397b atm). submitted by /u/jzn21
  [link] [comments]
  ---|---
19. 🔗 r/Yorkshire Please get out there and vote May 7th (tomorrow.) rss
  
  The North is often neglected by the government, so the best chance that YOU have to get the work done in your area is by voting in the local election tomorrow.
  
  If you don’t know who to vote, do your research and see who aligns more with your community. Vote based on who you believe will help your local area the most.
  
  This isn’t a political soapbox post, I won’t tell you who to vote for. Just please, use your voice. There are a lot of cunts who just wanna use your seat and sit on it, and nothing will ever change. This is an important election with a lot of new voices who could genuinely help your local ward. I wish the best for your local area in the next 4 years and that’s why i’m making this post!
  
  We don’t get a lot of chances to enact change, so it’s best to use it when we can.
  
  submitted by /u/coolfunkDJ
  [link] [comments]
20. 🔗 Anton Zhiyanov Solod v0.1: Go ergonomics, practical stdlib, native C interop rss
  Solod (So) is a system-level language with Go syntax and zero runtime. It's designed for two main audiences:
  - Go developers who want low-level control and zero-cost C interop, without having to learn a new language or standard library.
  - C developers who like Go's style.
  The initial version (let's call it v0) was focused on picking a subset of Go and translating it to C. The next logical step was to port Go's standard library and make it easier to interop with C. That's what the v0.1 release I'm presenting today is all about.
  
  Standard library • SQLite bindings • Persistent map • Store and retrieve • Command-line interface • Performance • Wrapping up
  
  Standard library
  
  Solod v0.1 ships with the following stdlib packages ported from Go:
  - io, bufio, and fmt — Abstractions and types for general-purpose I/O.
  - bytes, strings, strconv, and unicode/utf8 — Common byte and text operations.
  - slices and maps — Generic heap-allocated data structures.
  - crypto/rand and math/rand — Generating random data.
  - flag, os, and path — Working with the command line and files.
  - log/slog — Structured logging.
  - time — Measuring and displaying time.
  And a couple of its own packages:
  - mem — Memory allocation with a pluggable allocator interface.
  - c — Low-level C interop helpers.
  Stdlib documentation
  
  In the following sections, I'll demonstrate some of the v0.1 features using a simple example: a persistent key-value store backed by SQLite.
  
  SQLite bindings
  
  Since So doesn't provide database/sql yet, we'll call SQLite directly through its C API. To do this, let's import the necessary headers with the so:include directive and generate extern declarations using the sobind tool:
```
package main

import "solod.dev/so/c"

//so:include <sqlite3.h>

// SQLite constants.
//
//so:extern SQLITE_OK
const sqliteOK = 0
//so:extern SQLITE_ROW
const sqliteRow = 100
//so:extern SQLITE_DONE
const sqliteDone = 101

// SQLite types.
//
//so:extern
type sqlite3 struct{}
//so:extern
type sqlite3_stmt struct{}
//so:extern
type sqlite3_value struct{}
//so:extern
type sqlite3_callback func(any, int32, **c.Char, **c.Char) int32

// SQLite functions.
func sqlite3_open(filename string, ppDb **sqlite3) int32
func sqlite3_prepare_v2(db *sqlite3, zSql string, nByte int32, ppStmt **sqlite3_stmt, pzTail **c.ConstChar) int32
func sqlite3_step(arg0 *sqlite3_stmt) int32
func sqlite3_finalize(pStmt *sqlite3_stmt) int32
func sqlite3_close(arg0 *sqlite3) int32
func sqlite3_exec(arg0 *sqlite3, sql string, callback sqlite3_callback, arg3 any, errmsg **c.Char) int32

// more declarations...
```
  The so:extern directive is required for constants (sqliteOK) and types (sqlite3_stmt). As for functions (sqlite3_prepare_v2), we can just declare them without a body — the transpiler will treat them as extern declarations even without so:extern.
  
  Persistent map
  
  With the SQLite API in place, let's implement a key-value type that wraps the database connection:
```
// SQLMap is a simple key-value store backed by an SQLite database.
type SQLMap struct {
    db *sqlite3
}
```
  Add a constructor that connects to an SQLite database and creates a table to store the items:
```
var ErrCreate = errors.New("sqlmap: create schema failed")
const sqlCreate = "create table if not exists kv (key text primary key, val)"

// NewSQLMap creates a new SQLMap using the provided connection string.
// It opens a connection to the SQLite database and creates the underlying
// key-value table if it does not already exist.
//
// The caller is responsible for calling Close on the returned SQLMap
// when it is no longer needed.
func NewSQLMap(connStr string) (SQLMap, error) {
    var db *sqlite3
    rc := sqlite3_open(connStr, &db)
    if rc != sqliteOK {
        return SQLMap{}, ErrCreate
    }

    rc = sqlite3_exec(db, sqlCreate, nil, nil, nil)
    if rc != sqliteOK {
        sqlite3_close(db)
        return SQLMap{}, ErrCreate
    }
    return SQLMap{db}, nil
}

// Close releases resources associated with the SQLMap.
func (m *SQLMap) Close() {
    sqlite3_close(m.db)
}
```
  As you can see, this So code looks a lot like regular Go code. However, there are some key differences:
  - When compiled, the code is first translated to plain C, then compiled into a native binary using GCC or Clang.
  - Unlike Go, there is no runtime (no automatic heap memory allocation, no garbage collection, no goroutine scheduler).
  - There is no overhead when calling C functions, unlike Go's Cgo.
  - The interop syntax is a bit cleaner. For example, Go's string (sqlCreate in the sqlite3_exec call) automatically decays to C's const char*.
  Store and retrieve
  
  First, let's implement the Set method:
```
var (
    ErrPrepare = errors.New("sqlmap: prepare failed")
    ErrExec    = errors.New("sqlmap: exec failed")
)

const sqlSet = "insert or replace into kv (key, val) values (?, ?)"

// Set stores a string value for the specified key.
func (m *SQLMap) Set(key string, val string) error {
    var stmt *sqlite3_stmt
    rc := sqlite3_prepare_v2(m.db, sqlSet, -1, &stmt, nil)
    if rc != sqliteOK {
        return ErrPrepare
    }
    defer sqlite3_finalize(stmt)

    sqlite3_bind_text(stmt, 1, key, int32(len(key)), nil)
    sqlite3_bind_text(stmt, 2, val, int32(len(val)), nil)

    rc = sqlite3_step(stmt)
    if rc != sqliteDone {
        return ErrExec
    }
    return nil
}
```
  No surprises here, just a bunch of SQLite API calls.
  
  The Get method is more interesting:
```
var ErrNotFound = errors.New("sqlmap: not found")
const sqlGet = "select val from kv where key = ?"

// Get returns the value associated with the specified key.
// The caller owns the returned string and must free it with mem.FreeString.
func (m *SQLMap) Get(a mem.Allocator, key string) (string, error) {
    var stmt *sqlite3_stmt
    rc := sqlite3_prepare_v2(m.db, sqlGet, -1, &stmt, nil)
    if rc != sqliteOK {
        return "", ErrPrepare
    }
    defer sqlite3_finalize(stmt)

    sqlite3_bind_text(stmt, 1, key, int32(len(key)), nil)
    rc = sqlite3_step(stmt)
    if rc == sqliteDone {
        return "", ErrNotFound
    }
    if rc != sqliteRow {
        return "", ErrExec
    }

    text := sqlite3_column_text(stmt, 0)
    tmp := c.String(text)
    result := strings.Clone(a, tmp)
    return result, nil
}
```
  The pointer returned by sqlite3_column_text is managed by SQLite. It becomes invalid after calling sqlite3_finalize (which Get does before returning). Because of this, we need to allocate a copy of the returned value, using strings.Clone in this case.
  
  So's approach to memory allocation is similar to Zig's — all heap allocations must be done explicitly by providing a specific instance of the mem.Allocator interface.
  
  The caller, of course, must free the allocated string:
```
func main() {
    m, err := NewSQLMap(":memory:")
    if err != nil {
        panic(err)
    }
    defer m.Close()

    m.Set("name", "Alice")
    name, err := m.Get(mem.System, "name")
    if err != nil {
        panic(err)
    }
    println("name =", name)
    mem.FreeString(mem.System, name)
}



name = Alice
```
  Here, mem.System is a specific allocator that uses libc's malloc and free. Alternatively, we could use mem.Arena or any other implementation of the mem.Allocator interface:
```
var buf [1024]byte // stack-allocated
arena := mem.NewArena(buf[:])

name, _ := m.Get(&arena, "name")
mem.FreeString(&arena, name) // no-op for arena; can be omitted
```
  Command-line interface
  
  With the SQLMap type in place, let's create a simple CLI using the flag package:
```
var (
    opFlag  string
    keyFlag string
    valFlag string
)

func parseFlags() {
    flag.StringVar(&opFlag, "op", "", "operation: get, set, or del")
    flag.StringVar(&keyFlag, "key", "", "key name")
    flag.StringVar(&valFlag, "val", "", "value (for set operation)")
    flag.Parse()
}

func main() {
    parseFlags()
    // ...
}
```
  Then add command routing:
```
m, err := NewSQLMap("sqlmap.db")
check(err)
defer m.Close()

switch opFlag {
case "set":
    err = m.Set(keyFlag, valFlag)
    check(err)
case "get":
    val, err := m.Get(mem.System, keyFlag)
    check(err)
    println(val)
    mem.FreeString(mem.System, val)
case "del":
    err = m.Delete(keyFlag)
    check(err)
default:
    flag.Usage()
    os.Exit(1)
}



sqlmap -op=set -key=name -val=alice
sqlmap -op=get -key=name
alice
```
  Again, no surprises here — the flag package works just as it does in Go.
  
  Performance
  
  Solod isn't trying to outperform hand-tuned C. Still, performance matters: the code is benchmarked and optimized to run reasonably fast. Since So compiles to plain C and then to native code with full optimizations, the results are sometimes better than Go's.
  
  Here are some highlights from the benchmarks:
  - Buffered I/O is 3x faster than Go.
  - String and byte operations are up to 2.5x faster.
  - Maps are 1.5x faster for modifications.
  - Integer formatting is 2x faster.
  There're no GC pauses and no Cgo bridge cost when calling C libraries. The tradeoff is that you have to handle memory yourself, but as the SQLite example above shows, So's allocator interface makes that pretty manageable.
  
  Solod vs. Go benchmarks
  
  Wrapping up
  
  Solod is still in its early days, but with the v0.1 release, it's ready for hobby projects. The already-ported parts of the Go standard library make it easy to write command-line tools (check out the cat, head, sort, and wc examples). Plus, with native C interop, you can build just about anything else you need.
  
  The next release (v0.2) will likely focus on networking, concurrency, or both — along with more stdlib packages.
  
  If you're interested, take a look at So's readme — it has all the information you need to get started. Or try So online without installing anything.
21. 🔗 r/york York Dungeon investigates 'poltergeist' after tumblers fall from shelves rss
  
  | submitted by /u/Unlikely-Tension-616
  [link] [comments]
  ---|---
22. 🔗 livestorejs/livestore v0.0.0-snapshot-e670394c8c8fe4a2dd4c84d9e059d69d72180fb2: Merge pull request #1221 from livestorejs/schickling/ruleset-drift-guard release
  
  Detect repository ruleset drift before it blocks merges
23. 🔗 sacha chua :: living an awesome life La semaine du 27 avril au 3 mai rss
  
  lundi 27 avril
  
  J'ai ajouté la capacité de naviguer en temps réel à mon paquet subed.el. C'était déjà très pratique pour ajouter les chapitres à la transcription de ma conversation avec John Wiegley et Karthik Chikmagalur. Elle a besoin d'une petite modification pour convertir les notes que j'avais prises pendant la conversation.
  
  J'ai emmené ma fille à son cours de gymnastique. Il y avait un remplaçant. Je suis ravie de voir que le remplaçant a porté un masque KN-95 sans demander.
  
  Je me suis organisé avec ma mère pour installer l'app BDO Pay sur mon téléphone.
  
  J'ai préparé les éléments pour coudre mon chapeau comme le chapeau que j'avais cousu pour ma fille.
  
  mardi 28
  
  J'ai emmené ma fille à Adventure Alley pour jouer avec ses amies. C'était un peu cher, mais ma fille s'est amusée, donc ce n'est pas un problème si nous allons là-bas de temps en temps.
  
  mercredi 29
  
  L'écran de remplacement est arrivé au magasin Apple, donc je vais aller là-bas demain.
  
  J'ai réécrit une partie de la page EmacsNewbie sur l'EmacsWiki.
  
  Ma fille a cousu mon chapeau.
  
  Sur Stardew Valley, nous avons acheté un cochon et un mouton. Nous avons amélioré le poulailler en un grand poulailler et nous avons ajouté une cuisine à notre maison.
  
  jeudi 30
  
  J'ai été ravie en discutant avec Prot sur l'expérience de l'éditeur Emacs pour les débutants.
  
  Mon mari, ma fille, et moi avons fait du vélo avec son amie et le père de son amie.
  
  Sur Stardew, ma fille a remarqué que j'ai accidentellement acheté une vache que j'appelle Chèvre au lieu de la chèvre que j'ai prévu d'acheter pour le centre communautaire. Oups! Elle s'est très amusée et elle m'a demandé, quand j'achète finalement une chèvre, si je pouvais l'appeler Vache. Les animaux seront très confus, et moi aussi. Je l'ai quand même fait.
  
  vendredi 1er mai
  
  L'école avait un remplaçant et elle n'a pas voulu y assister, donc j'ai prévenu l'école de son absence et nous avons fait un compromis entre ses devoirs et des jeux.
  
  Nous sommes allées au Stockyards pour acheter des tissus pour son maillot de bain. Elle a trouvé les deux couleurs qu'elle voulait, mais il ne restait qu'un yard d'une couleur. Il faudra que nous planifions soigneusement. Nous avons acheté des fils chez Michaels. Elle a aussi acheté une boîte de mochi puffs chez Marry Me Mochi.
  
  Elle a cousu des coutures sur mon chapeau.
  
  samedi 2
  
  Pour le petit-déjeuner, ma fille a préparé une grande omelette en utilisant six œufs. On s'est régalés.
  
  Ma fille était grincheuse parce que j'ai attiré son attention sur son agitation et elle a senti que j'étais sur son dos.
  
  Le magasin Apple n'a pas pu réparer l'écran de ma tablette, donc il l'a remplacé par une nouvelle tablette pour une petite somme. L'Apple Pencil était finalement lié à ma garantie AppleCare+, mais malheureusement, il était en rupture de stock partout en ville, donc il fallait que j'attende pendant environ une semaine.
  
  Une fois rentrée, j'ai trouvé que ma fille s'était calmée. Elle et moi avons joué à Duplo, ce qui est aussi un produit LEGO, mais plus grand que la normale. Je les ai utilisés pour montrer à ma fille des concepts mathématiques comme les permutations et les combinaisons.
  
  dimanche 3
  
  Mon mari et moi avons fait du vélo au centre-ville avec ma fille dans mon vélo cargo. Ma fille et moi avons essayé le mochi chez Kibo (c'était délicieux) avant de continuer chez MEC pour chercher une nouvelle gourde pour remplacer celle que j'ai perdue. Elle n'a rien vu qui lui plaisait. Nous avons aussi acheté un mannequin en bois pour faciliter des prototypes pour coudre et des crayons d'aquarelle pour les explorer.
  
  Une fois rentrés, mon mari a fait cuire un pain de levain qu'il donnera au père de l'amie de notre fille, suite à leur conversation vendredi. Ma fille et moi avons travaillé sur le plan de faire son maillot de bain. Elle a voulu une robe qui a un corsage cache-cœur et une jupe à ourlet tulipe. Pour le dos, elle a voulu des bretelles croisées avec un petit dos goutte.
  
  J'étais fatiguée, donc j'ai fait une sieste. Ma fille est venue me réveiller. J'ai remarqué que mes yeux étaient très secs, donc elle a négocié de m'apporter des gouttes pour les yeux et elle me les a administrées pour 25 cents.
  
  View Org source for this post
  
  You can e-mail me at sacha@sachachua.com.
24. 🔗 tomasz-tomczyk/crit v0.10.5 release
  What's Changed
  
  A maintenance release with broad fixes across the GitHub PR roundtrip, the comment-sync push/pull pipeline, and the local review UI — plus accessibility polish on the sidebar resize handles, a distinct "Approved" state on the review-finish modal.
  
  General
  - feat: distinct "Approved" state for review-finish modal by @tomasz-tomczyk in #427
  - feat: keyboard-accessible sidebar resize handles by @tomasz-tomczyk in #469
  - feat: per-round timeline backend (Stage 1) by @tomasz-tomczyk in #460
  - style: bump comment input font-size to 14px by @tomasz-tomczyk in #441
  - style: align textarea line-height with rendered comment bodies by @tomasz-tomczyk in #444
  Fixes
  - fix: tie agent goroutine to daemon shutdown ctx + add runGit helper by @tomasz-tomczyk in #433
  - fix: small correctness nits (bulk parser err, scheduleWrite doc, dup mkdir) by @tomasz-tomczyk in #432
  - fix: use 127.0.0.1 in internal HTTP clients to match daemon bind by @tomasz-tomczyk in #436 (Thanks @perbu for reporting)
  - fix: clean message when running crit on a repo with no changes by @tomasz-tomczyk in #439 (Thanks @perbu for reporting)
  - fix: hide TOC toggle for single-heading documents by @tomasz-tomczyk in #443
  - fix: propagate local comment deletes to GitHub on push by @tomasz-tomczyk in #461
  - fix: import GitHub thread resolved state on crit pull by @tomasz-tomczyk in #462
  - fix: detect mid-push auth rotation and abort cleanly by @tomasz-tomczyk in #463
  - fix: prefers-reduced-motion spinner gap; rename waitingHasComments; annotate reflow line by @tomasz-tomczyk in #465
  - fix: relax comment drift detection for in-place edits by @tomasz-tomczyk in #466
  - fix: atomically rewrite auth_token + identity on login by @tomasz-tomczyk in #468
  - fix: close finish-review modal on backdrop click by @tomasz-tomczyk in #470
  - fix: allow --range/--pr on clean working tree by @tomasz-tomczyk in #472 (Thanks @ewgdg for reporting!)
  - fix: backward selection across blank-line boundary by @tomasz-tomczyk in #473 (Thanks Matt for reporting!)
  Documentation
  - docs: rewrite AGENTS.md with blocks by @tomasz-tomczyk in #431
  Internal refactors
  - chore: post-v0.10.4 audit cleanup by @tomasz-tomczyk in #426
  - fix: post-v0.10.4 release audit cleanup by @tomasz-tomczyk in #475
  - refactor: bundled cleanup — wrappers, mustGetwd, browser.go, error surfacing by @tomasz-tomczyk in #428
  - refactor: extract review-file CLI logic out of github.go by @tomasz-tomczyk in #429
  - refactor: consolidate atomic-file-write helpers by @tomasz-tomczyk in #430
  - refactor: split main.go and session.go into focused files by @tomasz-tomczyk in #434
  - refactor: release audit cleanup — atomic writes, flag parsing, dead code by @tomasz-tomczyk in #464
  - test: cover gaps in atomic write, auth, watch, sapling, parsers by @tomasz-tomczyk in #440
  - test: GitHub PR roundtrip integration harness by @tomasz-tomczyk in #445
  - test: wait for PR head sha after force-push in roundtrip harness by @tomasz-tomczyk in #457
  - test: integration coverage for resolved_round mapping by @tomasz-tomczyk in #467
  Full Changelog : v0.10.4...v0.10.5
25. 🔗 r/york First-Time DM looking for DnD players in York! rss
  
  Hey everyone! I've been wanting to DM something for a while now and I've been planning a campaign that I'm pretty excited about.
  
  I've got one player on board so far, so I just need three more players to be able to start playing! The two of us are 26/27, so ideally we're looking for people around the same age.
  
  If you're interested, just let me know and I'll DM you with more details 😄
  
  submitted by /u/WeirdoWolfBoy
  [link] [comments]
26. 🔗 r/LocalLLaMA 2.5x faster inference with Qwen 3.6 27B using MTP - Finally a viable option for local agentic coding - 262k context on 48GB - Fixed chat template - Drop-in OpenAI and Anthropic API endpoints rss
  
  2026-05-07 edit: I have updated the hardware based recommendations with more focus on quality. I do not recommend q4_0 KV cache anymore beyond 64k context. After multiple rounds of testing with the different size quants, it appears3 is the optimal number for draft speculative decoding. The fastest and best quality quant is q8_0-mtp. F16, which I have also uploaded is actually better but ultra slow (6x slower than q8_0). Many keep saying 8bit is virtually lossless compared to 16bit, and 6bit almost as good as 8bit, but this is simply not true: time and time again I have noticed huge differences in quality and correctness between 8bit and 16bit versions of various models.
  
  The recent PR to llama.cpp bring MTP support to Qwen 3.6 27B. This uses the built-in tensor layers for speculative decoding. None of the existing GGUF have it, as they need to be converted with this PR.
  
  I have tested it locally on my mac M2 Max 96GB, and the results are amazing: 2.5x speed increase, bringing it to 28 tok/s!
  
  I have converted the most useful quants and uploaded them to HF. Even if you are using apple silicon, you should use those instead of MLX. You can download them here:
  
  https://huggingface.co/froggeric/Qwen3.6-27B-MTP-GGUF
  
  This also includes 7 fixes I made to the original jinja chat template, due to vLLM specificity which broke in other tools:
  
  https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
  
  For now, you will need to compile your own version of llama.cpp to use them. It is fairly simple to do:
  
```bash git clone --depth 1 https://github.com/ggml-org/llama.cpp.git cd llama.cpp git fetch origin pull/22673/head:mtp-pr && git checkout mtp-pr

cmake -B build -DGGML_METAL=ON -DCMAKE_BUILD_TYPE=Release cmake --build build --target llama-cli llama-server ```

Then to start serving with the API endpoint, use a command similar to:

bash llama-server -m Qwen3.6-27B-Q5_K_M-mtp.gguf \ --spec-type mtp --spec- draft-n-max 3 \ --cache-type-k q8_0 --cache-type-v q8_0 \ -np 1 -c 262144 --temp 0.7 --top-k 20 -ngl 99 --port 8081

Vision currently crashes llama.cpp when used alongside MTP. Reported 2026-05-06 in the current PR.

That's it. Three optimizations in one command:

Flag | What it does | Impact
---|---|---
--spec-type mtp --spec-draft-n-max 3 | Multi-Token Prediction (built into the model) | 2.5x faster generation
--cache-type-k q8_0 --cache-type-v q8_0 | 8-bit KV cache (instead of 16-bit) | Half the KV memory , negligible quality loss
-c 262144 | 262K context window | Full native context on 48 GB Mac with q8_0 KV

Adjust -m, -c, and --cache-type-k/v for your hardware, according to the tables below.

Here are my recommendations based on your hardware:

Apple Silicon

Qwen3.6-27B is a hybrid model — only 16 of 65 layers use KV cache (verified). The other 48 are linear attention (fixed 898 MiB recurrent state). KV memory is ~4× less than a standard dense model. Runtimes that don't handle this (e.g. vllm) allocate KV for all 65 layers and show much higher memory usage.

Numbers below are total memory used (model + KV cache + 0.9 GB recurrent state). Must leave ≥ 8 GB for macOS (16 GB Macs excepted).

RAM | Quant | KV cache | Max context | Total used | Vision
---|---|---|---|---|---
16 GB | IQ2_M | q8_0 | 42K | 12.0 GB | ✗
24 GB | IQ3_M | | 46K | 16.0 GB | ✗
24 GB | IQ3_M | q8_0 | 91K | 16.0 GB | ✗
32 GB | Q5_K_M | | 74K | 24.0 GB | ✗
32 GB | Q5_K_M | q8_0 | 147K | 24.0 GB | ✗
32 GB | Q4_K_M | | 99K | 24.0 GB | ✓
48 GB | Q6_K | | 262K | 39.7 GB | ✓
48 GB | Q8_0 | | 173K | 40.0 GB | ✓
48 GB | Q8_0 | q8_0 | 262K | 37.3 GB | ✓
64 GB | Q8_0 | | 262K | 45.8 GB | ✓
96 GB | Q8_0 | | 262K | 45.8 GB | ✓

NVIDIA GPU

Same model memory as Apple Silicon, plus ~1 GB CUDA overhead.

VRAM | Quant | KV cache | Max context | Total VRAM used | Vision
---|---|---|---|---|---
12 GB | IQ2_M | q8_0 | 11K | 12.0 GB | ✗
16 GB | IQ3_M | | 30K | 16.0 GB | ✗
16 GB | IQ3_M | q8_0 | 60K | 16.0 GB | ✗
24 GB | Q4_K_M | | 83K | 24.0 GB | ✓
24 GB | Q4_K_M | q8_0 | 167K | 24.0 GB | ✓
24 GB | Q5_K_M | | 58K | 24.0 GB | ✗
48 GB | Q6_K | | 262K | 40.7 GB | ✓
48 GB | Q8_0 | | 262K | 46.8 GB | ✓
80 GB | Q8_0 | | 262K | 46.8 GB | ✓

16 GB Mac: IQ2_M/q8_0 — 42K text-only. No vision.

24 GB Mac: IQ3_M — 46K (f16 KV) or 91K (q8_0). Vision at 32–65K.

32 GB Mac: Q5_K_M — 74K text-only (f16 KV), 147K (q8_0). Q4_K_M for vision at 99K.

48 GB Mac: Q6_K/f16 KV — 262K with vision. Q8_0/q8_0 KV for 262K at higher model quality.

64 GB+ Mac: Q8_0/f16 KV — 262K with vision. Maximum quality at practical speed.

12 GB GPU: IQ2_M/q8_0 — 11K. Very limited, no vision.

16 GB GPU: IQ3_M — 30K (f16 KV) or 60K (q8_0). No vision.

24 GB GPU: Q4_K_M — 83K with vision (f16 KV). Q5_K_M — 58K text-only (f16 KV), 116K (q8_0).

48 GB+ GPU: Q6_K/f16 KV — 262K with vision. Q8_0 for max quality.

Leave KV cache at f16 (blank column) for best quality. Use q8_0 KV only when f16 doesn't give enough context. q4_0 KV should not exceed 64K context.

Vision adds ~0.9 GB for mmproj. macOS needs ≥ 8 GB for itself (16 GB Macs excepted — use ~4 GB). You can increase available memory by raising the wired memory limit, e.g. for a 96 GB Mac: sudo sysctl iogpu.wired_limit_mb=90112 (88 GB). NVIDIA reserves ~1 GB for CUDA.

submitted by /u/ex-arman68
[link] [comments]
27. 🔗 r/wiesbaden Fine Line Tattoo Artist rss
  
  Hey,
  
  Kennst jemand ein gutes Tattoo Studio/ einen guten Tattoo Artist für abstrakte Fine Line Tattoos in Wiesbaden oder Umgebung?Ansonsten auch anderswo:)
  
  submitted by /u/heyheyheyoooooo
  [link] [comments]
28. 🔗 r/Leeds When is Uniqlo going to open? rss
  
  I was so excited for this opening to be announced last year, at Christmas it said opening soon, then it changed to fall/winter 2026.
  
  It's a long time to fit out a shop.
  
  submitted by /u/used2bfat69
  [link] [comments]
29. 🔗 r/LocalLLaMA Quality comparison between Qwen 3.6 27B quantizations (BF16, Q8_0, Q6_K, Q5_K_XL, Q4_K_XL, IQ4_XS, IQ3_XXS,...) rss
  | The following is a non-comprehensive test I came up with to test the quality difference (a.k.a degradation) between different quantizations of Qwen 3.6 27B. I want to figure out what's the best quant to run on my 16 GB VRAM setup. WHAT WE ARE TESTING First, the prompt:
```
Given this PGN string of a chess game: 1. b3 e5 2. Nf3 h5 3. d4 exd4 4. Nxd4 Nf6 5. f4 Ke7 6. Qd3 d5 7. h4 * Figure out the current state of the chessboard, create an image in SVG code, also highlight the last move.
```
  I want to see if the models can:
  - Able to track the state of the board after each move, to reach the final state (first half of move 7)
  - Generate the right SVG image of the board, correctly place the pieces, highlight the last move
  And yes, if you are questioning. It could be possible that the model was trained to do the same thing on existing chess games, so I came up with some random moves, the kind of moves that no players above 300 elo would ever have played. For those who are not chess players, this is how the board supposed to look like after move 7. h4. Btw, you supposed to look at the pieces positions and the board orientation, not image quality because this is just a screenshot from Lichess. https://preview.redd.it/6lsfvzy8wfzg1.png?width=1586&format=png&auto=webp&s=94634b461528a6ecc6728eefd23072ab28c3769d CAN OTHER MODELS SOLVE IT? Before we go to the main part, let me show the result from some other models. I find it interesting that not many models were able to figure out the board state, let alone rendering it correctly. Qwen 3.5 27B It was mostly figured out the final position of the pieces, but still render the original board state on top. Highlighted the wrong squares, and the board orientation is wrong. https://preview.redd.it/oanbebp9xfzg1.png?width=1078&format=png&auto=webp&s=b72af75a10f4a9f4d897699b404580370bd29d9e Gemma 4 31B Nice chess dot com flagship board style, i would say it can figure out the board state, but failed to render it correctly. The square pattern also messed up. https://preview.redd.it/w5jwi05nxfzg1.png?width=1640&format=png&auto=webp&s=33e6f21f56c4e98df92c828103ac10714e578973 Qwen3 Coder Next I don't know what to say, quite disappointed. https://preview.redd.it/knltp8h1yfzg1.png?width=1348&format=png&auto=webp&s=1e9207cd1dfd08b049eaa13727703be732d2cb96 Qwen3.6 35B A3B As expected, 35B always be the fastest Qwen model, but at the same time, managed to fail the task successfully in many different ways. This is why I decided to find a way to squeeze 27B into my 16 GB card. The speed alone just not worth it. https://preview.redd.it/orti5kdhyfzg1.png?width=3360&format=png&auto=webp&s=c29a3aae9683e5ceaa15c59ae32adecabdd1b6b6 HOW QWEN3.6 27B SOLVE IT? All the models here are tested with the same set of llama.cpp parameters:
  - temp 0.6
  - top-p 0.95
  - top-k 20
  - min-p 0.0
  - presence_penalty 1.0
  - context window 65536
  BF16 version was from OpenRouter, Q8 to Q4_K_XL versions was on a L40S server, the rest are on my RTX 5060 Ti. The SVG code generated directly on Llama.cpp Web UI without any tools or MCP enabled (I originally ran this test in Pi agent, only to found out that the model tried to peek into the parent folders and found the existing SVG diagrams by higher quants, copied most of it). BF16 - Full precision This is the baseline of this test. It has everything I needed: right position, right board orientation, right piece colors, right highlight. The dotted blue line was unexpected, but it also interesting, because later on you will see, not many of the high quants generate this. https://preview.redd.it/lgizkjklzfzg1.png?width=1424&format=png&auto=webp&s=d7867b55735d3d875e0e36aecbaf3c3f0d1dbd58 Q8_0 As expected Q8 retains pretty much everything from the full precision except the line. https://preview.redd.it/6wjnq6ff0gzg1.png?width=1610&format=png&auto=webp&s=f0d20ff4717b972efffced49ac8d43075fa97eb5 Q6_K We start to see some quality loss here. I mean the placement of the rank 5 pawns. The look of the pieces are mostly because Q6 decided to use a different font. None of the models here trying to draw its own pieces in this test. https://preview.redd.it/kcqj81vl0gzg1.png?width=1608&format=png&auto=webp&s=66c7a219e79a8f6ecf44e27489f337b4016185b5 Q5_K_XL Looks very similar with Q8, but it is worth noticing that the SVG code of Q5 version is 7.1 KB, while Q8 is 4.7 KB. https://preview.redd.it/6wshu7g01gzg1.png?width=1506&format=png&auto=webp&s=289db354fea59c456d8bd2dc7abdbcc1e4282ffd Q4_K_XL and IQ4_XS If you ignore the font choice, you will see Q4_K_XL is a more complete solution, because it has the board coordinates. https://preview.redd.it/pzdghdtm1gzg1.png?width=3326&format=png&auto=webp&s=10c3d7758459f223d195107353f1ec76565cd31d Q3_K_XL and Q3_K_M https://preview.redd.it/56gttur62gzg1.png?width=3330&format=png&auto=webp&s=4af27d8a652e2deef6c14485d0fff4bd3651097f IQ3_XXS Now here's the interesting part, everything was mostly correct, the piece placements and the highlight, and there's the line on the last move! But IQ3_XXS get the board orientation wrong, see the light square on the bottom left? https://preview.redd.it/7jnzxy324gzg1.png?width=1608&format=png&auto=webp&s=178f72f51e65866497f16e861b04c0c448fce774 Q2_K_XL This is just a waste of time. But hey, it got all the pieces positions right. The board is just not aligned at all. https://preview.redd.it/3z63d7bv4gzg1.png?width=1604&format=png&auto=webp&s=f6723b28248327c55bede4e42a4a0cfbe962fb74 SO, WHAT DO I USE? I know a single test is not enough to draw any conclusion here. But personally, I will never go for anything below IQ4_XS after this test (I had bad experience with Q3_K_XL and below in other tries). On my RTX 5060 Ti, I got like pp 100 tps and tg 8 tps for IQ4_XS with vanilla llama.cpp (q8 for both ctk and ctv, fit on). But with TheTom's TurboQuant fork, I managed to get up to pp 760 tps and tg 22 tps , by forcing GPU offload for all layers (-ngl 99), quite usable.
```
llama-cpp-turboquant/build/bin/llama-server -fa 1 -c 75000 -np 1 --no-mmap --temp 0.6 --top-p 0.95 --top-k 20 --min-p 0.0 --presence_penalty 1.0 -ctk turbo4 -ctv turbo2 -ub 128 -b 256 -m Qwen3.6-27B-IQ4_XS.gguf -ngl 99
```
  The only down side is I have to keep the context window below 75k, and use turbo4/turbo2 for KV cache quant. Below are some example of different KV cache quants. https://preview.redd.it/y0y7o6h09gzg1.png?width=3320&format=png&auto=webp&s=bd7c855100ff63c9bb666a4f4a61b966ad6eebca https://preview.redd.it/dyrru7z19gzg1.png?width=3314&format=png&auto=webp&s=d54238d7a31c6cd8858f84df67ff588dc22d726b You can see all the result directly here https://qwen3-6-27b-benchmark.vercel.app/ submitted by /u/bobaburger
  [link] [comments]
  ---|---
30. 🔗 r/reverseengineering ant4g0nist/pyre: Ghidra decompiler in your browser rss
  
  submitted by /u/Nightlark192
  [link] [comments]
31. 🔗 HexRaysSA/plugin-repository commits sync repo: ~1 changed rss
```
sync repo: ~1 changed

## Changes
- [HashDB](https://github.com/oalabs/hashdb-ida):
  - 1.10.0: archive contents changed, download URL changed
```
32. 🔗 Ampcode News Amp, Rebuilt rss
  Today we're starting to roll out the new Amp.
  
  Not all of it, not yet. But the first piece: a rebuilt Amp CLI. Codename: Neo.
  
  In The Coding Agent is Dead we wrote about where this is going: agents with longer leashes, less handholding, and many more places to run. Not just one agent in one terminal. Agents prompted from anywhere, running everywhere.
  
  That's the new Amp we're building.
  
  But the terminal still matters and will matter. There will be moments where you want the agent right next to you.
  
  So we rebuilt the CLI first. It is still Amp in your terminal. But it's running on a completely new architecture: remote-controllable, compaction-first, plugin-powered, and much faster. Built for what's coming.
  
  Let's walk through it.
  
  Remote Control
  
  When you start a thread in the new Amp CLI, you can now remote control it from ampcode.com.
  
  You'll not only get live updates but you can also send messages, queue and dequeue them, or cancel what the agent is currently doing:
  
  The architecture that enables this is the reason we rewrote Amp. And remote control is just the start.
  
  No More Manual Context Management
  
  A core principle behind the rebuild: build for what the frontier models can do now, in 2026, and what they will be able to do in the future. Do not build for what once was.
  
  Today's leading frontier models are great at handling compaction.
  
  So Amp now manages context for you.
  
  You don't have to watch context percentages anymore, or decide when to handoff, or extract information from a thread in a panic.
  
  When the context window fills up, Amp now compacts the thread: it summarizes the current context, starts a fresh window with that summary, and keeps going.
  
  Compaction now runs automatically when the context window is 90% full.
  
  It was also the first thing we added to the new architecture. During one migration, we had to shut it off for a day and everyone complained. One beta-user reported: "I love having auto-compaction. NOT missing handoff..."
  
  So handoff is out. Compaction is in.
  
  Plugins
  
  With this release we're officially releasing the Amp Plugin API.
  
  Amp plugins can:
  - Handle events — amp.on(...) for tool calls, tool results, and agent lifecycle events
  - Add tools — amp.registerTool(...) for custom tools the agent can call
  - Add commands — amp.registerCommand(...) for command palette actions
  - Show UI elements — ctx.ui.notify(...), ctx.ui.confirm(...), ctx.ui.input(...), and ctx.ui.select(...)
  - Ask AI questions — amp.ai.ask(...) for yes/no classification with confidence and reasoning
  Here, for example, is a plugin that registers a tool called ask_user_choice. The agent can use it to present the user with options:
```
// .amp/plugins/ask-user-choice.ts

import type { PluginAPI } from '@ampcode/plugin'

export default function (amp: PluginAPI) {
    amp.registerTool({
        name: 'ask_user_choice',
        description:
            'Present the user with a multiple choice question when there are several possible approaches and you need them to pick one. Use when you have 2-5 concrete options to choose from.',
        inputSchema: {
            type: 'object',
            properties: {
                question: { type: 'string', description: 'The question to ask the user' },
                options: {
                    type: 'array',
                    items: { type: 'string' },
                    description: 'The options to choose from (2-5 items)',
                },
            },
            required: ['question', 'options'],
        },
        async execute(input, ctx) {
            const question = input.question as string
            const options = input.options as string[]
            const optionsList = options.map((opt, i) => `${i + 1}. ${opt}`).join('\n')

            const answer = await ctx.ui.input({
                title: question,
                helpText: `${optionsList}\n\nType the number of your choice`,
                submitButtonText: 'Select',
            })

            if (!answer) return 'User dismissed the question without choosing.'

            const index = parseInt(answer.trim(), 10) - 1
            if (index >= 0 && index < options.length) {
                return `User selected option ${index + 1}: ${options[index]}`
            }
            return `User responded with: ${answer}`
        },
    })
}
```
  That's it: a single file in .amp/plugins and Amp gets a new tool. It looks like this:
  
  The Amp Plugin API documentation has more examples, including a full permissions plugin.
  
  Queuing & Steering
  
  Queuing messages is now the default. When you send a message while the agent is busy, it'll get added to the queue instead of stopping and interrupting the agent.
  
  This, too, we think fits the models of today and tomorrow better. They work for longer and need fewer mid-flight yanks.
  
  If you want to fast-track a queued message, you can steer.
  
  Steering lets you send a queued message as soon as possible, not just when the agent becomes idle. The next time a tool result is sent up to the agent, for example.
  
  Use ↑ to select a queued message, then steer it with ⏎:
  
  You can also hit Esc Esc to interrupt the agent and send immediately.
  
  Permissions
  
  Amp will no longer ask for permission before running tools.
  
  What was once the --dangerously-allow-all flag is now the default behavior for users who have not configured permissions.
  
  The old permissions system still exists. It's now a built-in plugin. If your existing Amp settings already opt into permissions — through amp.permissions, amp.dangerouslyAllowAll: false, or amp.guardedFiles.allowlist — Amp loads that plugin and works as before. (When the plugin is active, it applies in both amp and amp --execute.)
  
  Why change the default?
  
  A year ago tool calls were simpler to check: inspect the name, inspect the arguments, do string-based matching, allow or deny. Now, frontier models write throwaway scripts to get stuff done. They chain shell commands.
  
  It's near-impossible to determine statically whether a tool invocation will be destructive or not.
  
  When a model writes five 20-line Python scripts in parallel to do something, checking whether a tool call contains rm -rf gives you a false sense of security.
  
  On top of that, there are now custom skills and scripts, specifically built for agents. And different organizations have different policies around which model is allowed to call which tool.
  
  So permissions now live in the Plugin API.
  
  If you need a policy, build the one that matches your setup. Point Amp at the Amp Plugin API and ask it to help you.
  
  Performance & Efficiency
  
  The old Amp CLI got slow with huge threads. Neo doesn't. Here's a comparison, using a thread with around 5000 messages:
  
  Metric Old New Improvement
  
  CPU% (mean ± sd) 84.1% ± 1.6% 17.4% ± 8.8% 79% less CPU
  
  CPU% (peak) 86.3% 25.8% —
  
  Memory (idle) 1814 MB 540 MB 70% less memory
  
  Rendering performance has improved, too.
  
  Before:
  
  After:
  
  What's Gone
  
  We also removed features. Of course we did, otherwise it wouldn't be an Amp release, would it?
  
  Our goal is to keep you on the frontier. Amp should not make you work like it's still 2025.
  
  Some features made sense when models needed more babysitting, more manual context management, more careful steering. They don't anymore. When a feature starts tying you to the old way to use agents, it goes.
  
  Handoff is gone. As described above, compaction made it obsolete. There are some valid use cases for Handoff even when there's enough space left in the context, but we don't think it warrants the complexity introduced by many small, connected threads.
  
  You can also still reference other threads and Amp will read them and extract the relevant information.
  
  For example, you can use Ctrl+O and thread: new to create a new thread, then hit Enter to quickly insert a reference to the previous thread. Amp will use that reference along with the rest of your prompt to read the previous thread.
  
  Amp no longer rolls back file changes when you edit or restore a message. We've found ourselves using this less and less as models advanced. The models are now good enough to undo changes for you, with more finesse than a rollback. And, the truth is, the rollback feature was always best-effort: if the agent wrote and ran code that generated files, we didn't keep track of that without elaborate snapshotting.
  
  Skill management: Amp still supports Agent Skills but we no longer offer commands or subcommands to add, remove, or update skills. That's better done by separate tools, such as skills.
  
  User-invokable skills: We also removed support for user-invokable skills. The latest generation of models now invokes skills reliably.
  
  Themes: Custom themes made it harder to keep the CLI legible, polished, and recognizably Amp. We’d rather ship one good interface than support many broken-looking ones.
  
  Manual bash invocation: in the old Amp CLI you could invoke bash commands by using $ and $$ in the prompt editor. An interesting idea a year ago, but now with models being ever more capable at running commands on their own and without blowing up their context window (and that context window being unlimited, practically) it's no longer useful.
  
  Rollout
  
  We’re rolling Neo out over the next few days. If you want to skip the line, send us an email. We'll flip the switch for you.
  
  This is the first piece of the new Amp.
  
  More soon.
May 05, 2026
1. 🔗 r/reverseengineering Resident Evil: Code Veronica X is able to play the opening FMV from the decompiled PS2 source! rss
  
  submitted by /u/MrFroz1995
  [link] [comments]
2. 🔗 r/york TOMORROW (WEDNESDAY). Rising post punk band The 113 headlines the Fulford Arms. Not to be missed! £9 advance tickets available from SeeTickets and Fulford Arms website. rss
  
  | https://www.seetickets.com/event/the-113/the-fulford-arms/3598090 submitted by /u/RLTpresents
  [link] [comments]
  ---|---
3. 🔗 r/LocalLLaMA DeepSeek V4 being 17x cheaper got me to actually measure what I send to cloud vs what I could run locally. the results are stupid. rss
  
  That foodtruck bench post showing deepseek v4 matching gpt-5.2 at 17x cheaper got me thinking. if frontier cloud models are that overpriced for equivalent quality, how much of my daily work even needs cloud at all?
  
  Ran my normal coding workflow for 10 days. every task got logged: what it was, tokens in/out, whether local qwen 3.6 27b (on a 3090) could have done it. didn't use benchmarks, just re-ran a random sample of 150 tasks on both.
  
  results:
  
  - file reads, project scanning, "explain this code": local matched cloud 97% of the time. this was 35% of my workload. paying for cloud here is genuinely throwing money away.
  
  - test writing, boilerplate, single file edits: local matched 88%. another 30% of tasks. the 12% misses were edge cases i could catch in review.
  
  - debugging with multi-file context: local dropped to 61%. cloud still better but not 17x-the-price better. about 20% of my work.
  
  - architecture decisions, complex refactors across 5+ files: local at 29%. cloud genuinely needed here. only 15% of my tasks.
  
  So 65% of my daily coding work runs identically on a model that costs me electricity. another 20% is close enough that I accept the occasional miss. only 15% actually justifies cloud pricing.
  
  Started routing by task type. local for the first two buckets, cloud for the last two. my api bill went from $85/month to about $22 and the 3090 was already sitting there mining nothing.
  
  The deepseek post is right that the price gap is insane but the bigger insight is that most of us don't even need cloud for most of what we do. we're just too lazy to measure it.
  
  submitted by /u/spencer_kw
  [link] [comments]
4. 🔗 r/Leeds Help me find the same sandwich please - Bánh Mì Cô Út rss
  
  Went to New York last week and had a sandwich that was so good it genuinely brought tears to my eyes (that may however, have been jet lag). I’m absolutely desperate to find as close to the one I had as possible, the one I tried was the
  
  No. 1 - Pork belly, boiled Vietnamese ham, fried Vietnamese ham, jambon, pate, mayo,cucumber, “cilantro”, carrot and daikon.
  
  Happy to pay more than that one cost buy at $8 I suspected I might, can travel a bit but preferably in Leeds
  
  submitted by /u/Thieves-like-us
  [link] [comments]
5. 🔗 r/LocalLLaMA I know this isn’t technically an LLM but OmniVoice is FUCKING AMAZING. rss
  
  Literally one shot voice cloning and it’s literally so easy. What the FUCK. It’s everything I’ve ever dreamed of.
  
  submitted by /u/Borkato
  [link] [comments]
6. 🔗 r/reverseengineering Reverse-engineering the 1998 Ultima Online demo server rss
  
  submitted by /u/draxinar
  [link] [comments]
7. 🔗 r/york Looking for a tenant to take over my old house rss
  
  | Hello all, hoping this doesn’t count as commercial spam and can stay up as I know people sometimes come on here looking for housing. I’ve just bought a house (hooray, adulthood!) and in an effort to not have to pay the rest of my tenancy on my old house, the landlord’s agreed we can be released from the tenancy early if they can find a new tenant. (Renters right act has come in just too late to help us out, unfortunately) It’s a 2 bed mid-terrace in Heworth about a 20 min walk and even shorter cycle to the city centre. It’s the nicest rental property I’ve ever had, and I’ve had a few. It’s a good size, in generally decent condition, has a garage and a parking space and a little courtyard. I can promise I didn’t leave any disastrous messes or unpaid bills there! Shoot me a message if you have the kind of questions letting agents won’t answer!! If you’re interested give them a call via the details on Rightmove, I don’t think they’ve had much interest which surprises me submitted by /u/hollyviolet96
  [link] [comments]
  ---|---
8. 🔗 sacha chua :: living an awesome life La semaine du 13 au 19 avril rss
  
  lundi 13
  
  Ma fille a séché les cours toute la journée. Elle a dit qu'elle était fatiguée. Elle est restée à la maison au lieu d'aller à son cours de gymnastique.
  
  J'ai configuré obs-websocket pour lancer et arrêter la diffusion en direct depuis Emacs.
  
  Il faisait très beau, donc je me suis assise dehors et j'ai lu la configuration d'Emacs de tecosaur. Non seulement sa configuration était très détaillée, mais elle était aussi magnifiquement mise en page.
  
  J'ai préparé mon bulletin d'information sur Emacs pendant que je diffusais en direct.
  
  Le glacier était toujours fermé, donc nous avons acheté de la crème glacée au supermarché à la place.
  
  À l'heure du coucher, ma fille a dit qu'elle aurait aimé rester une enfant. Elle a dit qu'elle aimait bien KidSpark, qui est réservé aux enfants jusqu'à 10 ans.
  
  mardi 14
  
  Ma fille a suivi son cours. Après l'école, nous avons fait du vélo au parc pour jouer avec ses amies, qui en faisaient aussi.
  
  J'ai continué à améliorer obs-websocket pour gérer mon direct depuis Emacs. J'ai aussi réécrit mon correctif pour l'opération « sentence-at-point » sur Org Mode.
  
  J'étais fatiguée et j'avais un peu mal à la tête.
  
  mercredi 15
  
  Ma fille s'est réveillée tard, mais elle a participé à son cours toute seule.
  
  J'ai mis à jour mon OBS pour ajouter socialstream.ninja via une source navigateur. Maintenant, je peux afficher les commentaires et je peux envoyer un message depuis Emacs sur YouTube.
  
  J'ai travaillé un peu comme consultante. Le design du profil avait besoin d'une petite correction.
  
  Ma fille et moi avons joué à Stardew Valley.
  
  Mon mari avait une course près du Musée des beaux-arts de l'Ontario. Ma fille était heureuse de sécher les cours l'après-midi parce que l'école avait une remplaçante. J'ai emmené ma fille là-bas et nous avons passé du temps à essayer les activités au musée et à dessiner sur nos tablettes.
  
  Après le dîner, nous nous sommes entraînées à peindre des yeux avec des aquarelles.
  
  jeudi 16
  
  J'avais rendez-vous avec Protesilaos pour l'informer de mes progrès depuis notre conversation précédente et lui poser mes nouvelles questions. J'ai fait fonctionner mon code pour lancer ma vidéo à partir d'un horodatage et j'ai écrit une fonction pour calculer la conversion entre l'heure réelle et le temps écoulé.
  
  Ma fille et moi avons joué à la Play-Doh, au sungka (un jeu traditionnel philippin), et aux charades.
  
  vendredi 17
  
  J'ai révisé les sous-titres de ma conversation avec Prot d'hier. J'ai ajouté deux fonctions pour gérer l'étiquette d'interlocuteur quand on divise ou fusionne des sous-titres. J'ai aussi programmé trois conversations sur Emacs et j'ai publié les événements sur YouTube et sur mon site grâce à d'autres fonctions. J'ai aussi modifié ma bibliothèque pour publier mon site afin qu'elle n'inclue pas les fichiers privés.
  
  J'ai travaillé sur nos impôts.
  
  Ma fille s'est réveillée toute seule ce matin, à temps pour le petit-déjeuner, notre routine matinale, et son interrogation de mathématiques à l'école. Mais elle a séché les cours l'après-midi et elle s'est assise tout l'après-midi contre sa porte. Au lieu de se détendre, elle s'est davantage braquée contre moi. Je ne sais pas quoi faire dans cette situation.
  
  samedi 18
  
  Pour le petit-déjeuner, j'ai préparé des crêpes avec le reste de la crème fouettée. Il reste juste un peu de la créme, donc je n'ai pas pu fouetter dans le mélanger. J'ai fouetté à la main. J'ai aussi utilisé la crème fouettée congelée que j'avais faite il y a plusieurs mois. Je les ai mangé avec des pêches et de la mangue. C'était parfait.
  
  Lire la configuration lettrée d'Emacs de tecosaur me rend jaloux de sa mise en page, donc j'ai passé du temps en ameliorant l'export de ma configuration. C'est très long. Le PDF est 736 pages. Seule la table de matières est 15 pages. Je veux ajouter plus de commentaires et implementer plus d'exports LaTeX pour mes types de liens.
  
  Ma fille était grincheuse contre moi du matin, mais l'après-midi, elle a réapparu et elle a voulu passer du temps avec moi.
  
  Nous avons joué à Minecraft pour essayer les nouveaux cubes de soufre. Nous avons généré un Warden et lui avons donné un cube qui nous donnaient un bloc de champignon. Le Warden s'amusait avec le cube.
  
  Nous avons joué avec Play-Doh. Je l'ai étalé très finement et nous l'avons coupé à beaucoup de pièces. Elle les a tressé. Elle a voulu essayer une tresse couronne, donc j'ai tressé ses cheveux.
  
  Pour le dîner, nous avons préparé des sushis.
  
  Nous avons joué encore à Stardew Valley Expanded. Nous avons bien progressé dans les paquets du centre communautaire, même si j'ai oublié d'obtenir l'engrais de centre communautaire après la Fête des Œufs pour accélerer les fraises. Tant pis.
  
  Ma fille a pratiqué son vocabulaire français en racontant l'histoire de la famille d'Eevee.
  
  dimanche 19
  
  Ma fille s'est réveillée à 8h00 aujourd'hui. Elle trouve que c'est plus facile de se réveiller quand il n'y a pas école. Il est bon que je n'avait pas commencé une diffusion en direct.
  
  Ma fille et moi sommes allées aux Stockyards à vélo pour acheter des tissus pour coudre un chapeau d'été. Elle avait fait du lèche-vitrine mais elle n'en avait pas trouvé un qui lui convenait, donc nous devons le faire nous-même. Elle a choisi du tissu jaune Pokémon. Elle a aussi voulu de la laine pour faire du crochet une couverture.
  
  Nous avons mangé du Panda Express pour le déjeuner. Le repas enfant m'a suffi.
  
  Je l'ai déposée à la maison et j'ai apporté des donations au Goodwill en faisant le grand ménage. J'ai aussi fait les courses. Une fois que je suis rentrée, ma fille m'a montré fièrement qu'elle a fait les lits comme un hôtel.
  
  Nous avons joué à Stardew Valley Expanded après le dîner. L'été a commencé. Je pense que je dois planter plus de doubeurre pour le paquet récoltes de qualité qui demande 5 récoltes de qualité or.
  
  View Org source for this post
  
  You can e-mail me at sacha@sachachua.com.
9. 🔗 sacha chua :: living an awesome life La semaine du 20 au 26 avril rss
  lundi 20 avril
  
  Ma fille s'est réveillée tôt de façon autonome, donc nous avons terminé notre routine matinale. Mais elle a été déconcertée quand son mot de passe n'a pas fonctionné pour se connecter à l'école. Je l'ai aidée et elle a assisté à ses cours. Je pensais qu'elle allait bien, mais une fois que je suis allée la voir pendant la récré, j'ai trouvé qu'elle était grincheuse. Elle a encore séché les cours.
  
  À mon grand étonnement, après la pause déjeuner et un petit moment de jeu, elle participait à l'école.
  
  Quelques points :
  
  Comme tout le monde, elle a des jours avec et des jours sans. Quand elle a mal au corps, tout est dur.
  
  Nous savons que les cours collectifs ne lui conviennent pas pour le moment. C'est une expérience pour obtenir des données.
  
  Ce n'est pas la fin du monde. Peut-être que l'école est plus indulgente que je ne le pense. Je peux leur laisser dire quand il y a un vrai problème. C'est possible que ce ne soit pas un problème.
  
  C'est très difficile (peut-être impossible) d'aider une personne qui ne veut pas être aidée, particulièrement car une partie de sa résistance est due à son désir d'autonomie.
  
  Harceler est inutile et inefficace. Si j'essaie d'utiliser la punition, je lui rends la tâche plus difficile pour choisir elle-même une bonne façon de procéder.
  
  Si elle veut quelque chose de différent, nous pouvons trouver quelque chose de différent.
  
  Donc je dois gérer mes propres émotions et être solidaire. Je dois avoir confiance dans le fait qu'elle veut un bon résultat pour elle-même. Elle peut le gérer ou elle peut demander de l'aide. Si je reste zen, c'est plus facile pour elle de demander de l'aide.
  mardi 21
  
  Je pense que j'ai trouvé un moyen de me protéger contre les accidents pendant une diffusion en direct. Si je diffuse avec un délai vers une autre instance d'OBS, je peux interrompre le flux une fois que je remarque quelque chose que je partage accidentellement.
  
  J'ai aussi écrit une fonction pour formater les événements dans le format Org Mode pour exporter vers le format iCalendar.
  
  J'ai répondu à des courriels, dont un en français. J'ai mis à jour les entrées de mon agrégateur Planet Emacslife. Je l'ai modifié pour utiliser toujours l'IPv4 et interpréter correctement les corps des articles.
  
  Pour la soulager de son ennui, j'ai aidé ma fille à travailler sur des fiches d'exercices mathématiques pour les élèves de 6ème, qu'elle a pu accomplir avec de petites astuces. Elle était très fière parce que c'était plus intéressant que ses devoirs.
  
  Après l'école, j'ai emmené ma fille au parc pour jouer avec toutes ses meilleures amies. Elles s'amusaient tellement que d'autres enfants ont voulu se joindre à elles, ce qui a rendu l'endroit trop bruyant pour ma fille, qui s'est déplacée au bac à sable pour jouer au calme. Une fois que les autres enfants sont partis, ma fille a retrouvé ses amies.
  
  Ma fille a redécouvert les attrape-soleil et elle en a peint quelques-uns avec des peintures acryliques. Elle a voulu une peinture verte, mais nous n'en avions pas, donc elle a mélangé de la peinture bleue et de la peinture jaune pour en faire.
  
  Elle a aussi discuté de son idée pour un petit mannequin pour présenter des prototypes de robes. Nous avons cherché des options en ligne, mais tous les produits étaient trop chers ou ne convenaient pas à ma fille. Nous allons peut-être acheter un petit mannequin chez Ikea.
  
  J'étais un peu fatiguée.
  
  mercredi 22
  
  J'ai écrit quelques articles pour annoncer mes diffusions en direct.
  
  J'ai proposé à ma fille de travailler sur des mathématiques plus complexes ensemble, mais elle n'avait pas besoin de mon aide aujourd'hui.
  
  Après l'école, ma fille et moi avons fait du vélo au parc. Nous étions en avance pour notre rendez-vous avec ses amies, donc nous avons joué dans l'aire de jeu près de la rue qui a un grand bac à sable. J'ai apporté les jouets de sable, ce qui a permis à ma fille de simuler une pâtisserie. Après avoir joué, nous sommes allées à l'autre aire de jeu en pente. Nos amies étaient en retard, mais ce n'était pas un problème. Il y avait d'autres amies, et une fois qu'elles ont dû partir, nous avons joué aux balançoires jusqu'à ce que nos autres amies arrivent. Il faisait beau et un peu chaud. Ma fille a mangé deux sucettes glacées au yaourt, à la fraise, et au miel qu'elle a préparées hier soir, et elle les a offertes à ses amies.
  
  Ses amies sont venues à pied. Ma fille a voulu les accompagner sur le chemin du retour, donc nous sommes toutes allées à pied. J'ai accroché son vélo au mien grâce au sac Bakkie, et j'ai poussé mon vélo pendant qu'elles marchaient.
  
  Une de ses amies est tombée et elle a eu mal au genou. Elle a hurlé. Ma fille a offert un bandage Pokémon. Elle a encore hurlé, ce qui était trop bruyant pour ma fille qui commençait aussi à pleurer. Elles ont eu besoin de quelques moments avant qu'elles ne se calment.
  
  J'étais étonnée que ma fille ait voulu accompagner ses amies presque jusque chez elles. Eh bien, le soleil brillait et je peux toujours emmener ma fille si elle devient trop fatiguée.
  
  Pour le dîner, mon mari a préparé des escalopes de poulet.
  
  jeudi 23
  
  J'ai travaillé comme consultante.
  
  J'ai emmené ma fille au parc Dufferin Grove pour jouer là-bas. Une fois arrivée, elle a vu que ses meilleures amies sont occupées à jouer avec une fille qui est en désaccord avec ma fille, donc ma fille a décidé de jouer plutôt avec moi ou avec son père, qui nous a rejoints à vélo. Elle a joué sur la balançoire et le toboggan. Elle a aussi joué dans le sable avec d'autres enfants.
  
  À la maison, nous avons fait des bulles géantes.
  
  vendredi 24
  
  J'ai eu une merveilleuse conversation avec John Wiegley et Karthik Chikmagalur sur le flux de travail de John pour gérer ses tâches sur Emacs et sur Org Mode.
  
  Ma fille était un peu grincheuse parce que j'étais occupée avec ma conversation et son père était occupé à préparer le dîner. Une fois que j'étais disponible, elle a voulu jouer à un jeu de dominos que nous avons déjà donné il y a plus d'une année. Elle a été déçue, puis elle a décidé de faire un jeu similaire en utilisant LEGO. Elle s'est amusée.
  
  J'ai accidentellement fait tomber mon Apple Pencil et il s'est cassé.
  
  samedi 25
  
  Je suis allée au magasin Apple pour essayer de remplacer mon Apple Pencil et de réparer l'écran de ma tablette sur la garantie AppleCare+. Je n'ai rien obtenu. Ils n'avaient pas les pièces en stock pour la réparation de l'écran, donc le technicien les a commandées et il va me notifier une fois qu'elles seraient arrivées. Il a trouvé que mon Apple Pencil n'est pas inclus dans la garantie AppleCare+ automatiquement même si je l'avais acheté en même temps que ma tablette. Le technicien m'a dit que j'ai besoin d'appeler l'assistance Apple pour lier mon Apple Pencil à la garantie AppleCare+, ce qui a pris 35 minutes à résoudre. Une fois que j'ai fini, le technicien est déjà passé à un autre client. C'était très occupé au magasin, et je n'ai pu reprendre mon rendez-vous. Si je voulais faire un autre rendez-vous, il m'aurait fallu attendre plus d'une heure et demie. J'étais surstimulée, donc j'ai choisi de rentrer.
  
  Ma fille a voulu jouer à Stardew Valley avec moi. C'étaient les derniers jours avant l'automne. Elle a commencé à détruire ses arbustes de myrtilles. Quand je lui ai demandé ce qu'elle faisait, elle est partie furieuse parce qu'elle a senti que j'étais sur son dos. J'ai présenté mes excuses, et je l'ai aussi informée que les myrtilles ont une récolte de plus exactement à la fin de la saison. Elle ne le savait pas.
  
  dimanche 26
  
  J'ai écrit une petite fonction pour sauvegarder une capture d'écran à la position actuelle dans la vidéo et l'ajouter avec un horodatage au sous-titre actuel, ce qui facilite l'inclusion des images à l'article. Karthik et moi avons discuté du traitement de la vidéo.
  
  Il faisait très beau, donc ma fille et moi avons fait du vélo jusqu'au Corktown Commons pour la première fois. Elle s'est très amusée sur les toboggans. Nous avons aussi fait plusieurs gâteaux de sable dans le bac à sable, grâce aux quelques conteneurs que j'ai apportés.
  
  Après le dîner, ma fille a voulu jouer à Stardew Valley avec moi. Elle m'a demandé si c'est acceptable si elle vend quelques minerais d'or. Je lui ai demandé ce qu'elle voulait faire, quel est son but… Elle est devenue grincheuse et elle s'en est allée. Je me suis rendu compte qu'elle voulait peut-être faire de l'espace dans son inventaire, ce qui peut aussi être résolu avec un coffre, ce que j'avais d'ailleurs prévu de faire. Bien, elle doit développer sa propre autorégulation. Elle est finalement revenue de sa chambre et elle m'a demandé un câlin parce que son nez lui fait mal, pauvre chérie. Nous avons fait la routine du soir avec des larmes.
  
  View Org source for this post
  
  You can e-mail me at sacha@sachachua.com.
10. 🔗 r/Leeds Childfree people of Leeds? rss
  
  Heya! Random one, but are there many childfree people in Leeds on here?
  
  I’ve been thinking about setting up a Discord or something just to chat, maybe find people for games or last-minute plans, but not sure if there’d actually be much interest. I'd probably make it for people around my age, like 25+ year olds or something
  
  For me personally it feels like a lot of social stuff ends up revolving around kids/schedules and it’d be nice to have a space that’s a bit more flexible, and to also have conversations that don't involve how Timmy shat his pants in Morrisons cafe
  
  Would anyone be up for something like that? I'm up for making one and sending some invites out - or if this space already exists please do let me know so I can get involved!
  
  EDIT - I’m gonna make a server - if you want an invite leave a comment/send me a dm :)
  
  submitted by /u/amzlrr
  [link] [comments]
11. 🔗 r/york Let's talk about York's hidden past! rss
  Hey r/york!
  
  We're Uncomfortable York, an academic-led tour organisation focusing on the underrepresented stories and people that make up the UKs favourite cities.
  
  On our tour we talk about the lived experience of diverse individuals living and working in York across its 2000 years of history. We also examine York's connections to the world as a seat of power from the Roman Empire to a manufacturing hub for the chocolate industry.
  
  We've taken to Reddit to ask some important questions:
  - Do you feel represented in York's heritage landscape?
  - What topics, themes, people, periods, etc. would you like to see examined with a more critical eye?
  If you're interested in checking out our work feel free to head over to our website!
  
  submitted by /u/Uncomfortable_Tours
  [link] [comments]
12. 🔗 r/LocalLLaMA Gemma 4 MTP released rss
  
  Blog post:
  
  https://blog.google/innovation-and-ai/technology/developers-tools/multi- token-prediction-gemma-4/
  
  MTP draft models:
  
  https://huggingface.co/google/gemma-4-31B-it-assistant
  
  https://huggingface.co/google/gemma-4-26B-A4B-it-assistant
  
  https://huggingface.co/google/gemma-4-E4B-it-assistant
  
  https://huggingface.co/google/gemma-4-E2B-it-assistant
  
  This model card is for the Multi-Token Prediction (MTP) drafters for the Gemma 4 models. MTP is implemented by extending the base model with a smaller, faster draft model. When used in a Speculative Decoding pipeline, the draft model predicts several tokens ahead, which the target model then verifies in parallel. This results in significant decoding speedups (up to 2x) while guaranteeing the exact same quality as standard generation, making these checkpoints perfect for low-latency and on-device applications.
  
  submitted by /u/rerri
  [link] [comments]
13. 🔗 r/reverseengineering Inside Faxanadu series — deep dive into how this NES title works rss
  
  submitted by /u/r_retrohacking_mod2
  [link] [comments]
14. 🔗 r/reverseengineering EMBA v2.0.1 with interactive firmware dependency map available - Check it out and let us know what you are missing rss
  
  submitted by /u/m-1-k-3
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15. 🔗 r/LocalLLaMA Heretic 1.3 released: Reproducible models, integrated benchmarking system, reduced peak VRAM usage, broader model support, and more rss
  
  Dear fellow Llamas, it is my distinct pleasure to announce the immediate availability of version 1.3 of Heretic (https://github.com/p-e-w/heretic), the leading software for removing censorship from language models.
  
  This was a long and eventful release cycle, during which Heretic became a high-profile open source project with 20,000 GitHub stars and more than 13 million total model downloads (not counting the models from a certain "competitor" who was recently found to have been using a plagiarized fork of Heretic under the hood). The topic of model decensoring has exploded in popularity, with many clones and forks popping up, some of them clouding their techniques in mystique, technical jargon, or tens of thousands of lines of LLM-written junk code.
  
  I am happy to say that Heretic is moving in the exact opposite direction. Instead of making it more difficult to understand what is going on, the new release makes it easier and more transparent. The headline feature in Heretic 1.3 is reproducible runs. This was a much more difficult problem to solve than it might appear to be at first glance, because the results of tensor operations can depend on the PyTorch version, the GPU, the driver, the accelerator library, and whether Saturn is Ascendant or not. This means that in order to ensure reproducibility, all of that information must be collected and preserved. This mammoth task was taken up by long-time contributor Vinay-Umrethe, who wrote the majority of the code in the course of an intense multi-week collaboration in which over 250 comments were exchanged.
  
  As a result, when publishing an abliterated model to Hugging Face, you now have the option to have Heretic generate a reproduce directory in the repository, which contains everything another person needs to know in order to generate a byte-for-byte identical model themselves (example of such a directory). Gone are the days of "I can't seem to get such low numbers on my own machine"; you now can! While the reproducibility system is already immensely helpful and educational by itself, in the future it will form the backbone of something even more ambitious and exciting, which I will announce soon. Please note that publishing reproducibility information is completely optional, and Heretic always prompts before doing so. You are in control of what is uploaded at all times.
  
  There's more! You know how it can be difficult to tell with certainty whether an abliterated model has incurred significant damage to its capabilities? Heretic now includes the world's simplest benchmarking system , allowing you to run standard benchmarks like MMLU, EQ-Bench, GSM8K, and HellaSwag directly from Heretic, without having to fumble with any configuration and without even having to export the model first. This makes it much easier to decide whether a model is worth publishing, or whether you should look at another trial instead. The system is based on lm-evaluation-harness, the academic gold standard for running LLM benchmarks, allowing the resulting metrics to be directly compared against numbers published online.
  
  In the course of a typical run, Heretic computes various functions on tensors. This can involve intermediate tensors being manifested in GPU memory that take up large amounts of VRAM. magiccodingman analyzed this in detail, and implemented optimizations that substantially reduce peak VRAM usage , allowing larger models to be processed.
  
  Model architectures continue to evolve and become more complex, and Heretic is keeping up! farolone and MoonRide303 improved Heretic's layer and module handling logic, making it far more generic and allowing it to process latest-generation models like Qwen3.5 and Gemma 4 , among others.
  
  Please see the release notes for the full list of improvements and fixes. More exciting stuff is coming in future versions!
  
  Cheers :)
  
  submitted by /u/-p-e-w-
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16. 🔗 r/Yorkshire Glorious day along the Wall rss
  
  | A bit rainy & windy, but still a brilliant day out. submitted by /u/TitanicDays
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17. 🔗 r/Leeds Favorite spot to read books? rss
  
  Im new in the city and looking for any recommendations where I can just chill out, have tea or coffee and read a book. I really enjoyed Sonder and Sociable Folk. Any other similar spots?
  
  submitted by /u/nimblebaroness
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18. 🔗 r/Leeds Is this “d” an upside down “P” on the Leeds sign? rss
  
  submitted by /u/Tight_Mammoth4602
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19. 🔗 r/york Why didn't they take this rss
  
  | York recycling bin men left this ? York council are a bloody joke (or they would be if the fact they provide such a shitty service and waste OUR money) submitted by /u/DarkBytes
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20. 🔗 r/york The Doom Stone in the Crypt at York Minster rss
  
  | ⚔️ Beneath the floor of York Minster lies one of the most chilling reminders of medieval England’s belief in death and judgement: The Doom Stone. Carved over 800 years ago, this fragment was once part of a great tympanum above a church doorway. Its original paint and detailed imagery warned every visitor of the Last Judgement – heaven or hell, salvation or damnation. In this film, we explore the stone, the medieval mindset that created it, and how faith shaped the lives and deaths of all who passed beneath it. Featuring rare imagery of medieval Doom paintings, manuscripts, and iconography, this short documentary brings the forgotten stone and its message back into the light. There is NO AI Imagery in this Film, and all Motion Graphics were created by hand. Step into the shadows of England’s past. 00:00 The Doom Stone Beneath York Minster
  00:50 What is the Doom Stone?
  02:30 Medieval Last Judgement Explained
  03:55 Heaven & Hell
  04:50 Fear of Death and Judgement
  6.00 Conclusion – A Warning in Stone submitted by /u/The_Black_Banner_UK
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21. 🔗 r/Yorkshire Mornings like this are all I need❤️‍🩹 rss
  
  | submitted by /u/Coffee000Oopss
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22. 🔗 r/york Struggling to find a place for 3 sharers/2 households rss
  
  Me and my partner and a friend of ours are looking for a place to live within the next month or so. I keep telling letting agents that me and my partner are long-term dating and we count as two households, but for some reason they still consider it 3 sharers and any advice I find online just says "say two of you are dating so it counts as two households" which we don't need to lie about because we are actually dating. Does anyone know what areas that have a decent commute to the city centre would be more ok with that?? Two of us are students but one of us is graduating in the next month so student accomodation isn't possible. Really not sure what to do.
  
  submitted by /u/Rainecats
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23. 🔗 r/reverseengineering Copy.fail: Why Internal LLMs Are Non-Negotiable for Security rss
  
  submitted by /u/eshard-cybersec
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24. 🔗 zellij-org/zellij Release v0.44.2 release
  This is a small patch release to fix some issues found recently in 0.44, as well as some minor long standing annoyances.
  
  The only major feature introduced in this patch is support for CSI 2031: automatically switching between dark/light theme (assuming the terminal emulator itself supports it), as well as forwarding these instructions to the apps running inside Zellij. With this change, comes the new theme_dark and theme_light configuration parameters, that will be used by Zellij when it is instructed to switch, eg.
```
theme "dracula" // normal theme as it was up until now
theme_dark "dracula" // Zellij will use this when instructed to change to a dark theme
theme_light "catppuccin-latte" // Zellij will use this when instructed to change to a light theme
```
  For convenience (eg. when using a terminal emulator that does not support theme switching), Zellij also now includes the zellij action set-light- theme, zellij action set-dark-theme and zellij action toggle-theme CLI commands to allow doing this manually. (note: when issuing these commands, Zellij will also send a CSI2031 to running terminal applications inside it that requested it, even if the host terminal itself does not support them).
  
  For a full list of changes, please see the changelog.
  
  Please Support the Zellij Developer ❤️
  
  Zellij is a labor of love and is provided free and open-source to anyone who wishes to use it.
  
  Zellij will never display ads or collect your data.
  
  To help sustain the project, please consider a recurring donation so that the developer can pay their bills: https://github.com/sponsors/imsnif
25. 🔗 r/Harrogate Bilton Triangle Development rss
  
  Hi all, I remember a while ago there being so chat regarding developing the Bilton triangle farmers field for housing. Is anyone aware of any updates? Thanks!
  
  submitted by /u/Leading_Roof407
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