🏡

generated: December 27, 2025 at 09:09:44

December 27, 2025
1. 🔗 obra/superpowers v4.0.3 release
  
  Release v4.0.3: Strengthen using-superpowers for explicit skill requests
2. 🔗 cased/kit Release 3.2.0 release
  What's Changed
  - Add Claude Code plugin documentation by @tnm in #167
  - Fix arrow function detection in JavaScript/TypeScript symbol extraction by @tnm in #169
  Full Changelog : v3.1.0...v3.2.0
December 26, 2025
1. 🔗 r/reverseengineering Resident Evil: Code Veronica X is able to get to the main menu and load a save game from the decompiled PS2 source! rss
  
  submitted by /u/MrFroz1995
  [link] [comments]
2. 🔗 Anton Zhiyanov 'Better C' playgrounds rss
  I have a soft spot for the "better C" family of languages: C3, Hare, Odin, V, and Zig.
  
  I'm not saying these languages are actually better than C — they're just different. But I needed to come up with an umbrella term for them, and "better C" was the only thing that came to mind.
  
  I believe playgrounds and interactive documentation make programming languages easier for more people to learn. That's why I created online sandboxes for these langs. You can try them out below, embed them on your own website, or self-host and customize them.
  
  If you're already familiar with one of these languages, maybe you could even create an interactive guide for it? I'm happy to help if you want to give it a try.
  
  C3 • Hare • Odin • V • Zig • Editors
  
  C3
  
  An ergonomic, safe, and familiar evolution of C.
```
import std::io;

fn void greet(String name)
{
    io::printfn("Hello, %s!", name);
}

fn void main()
{
    greet("World");
}



Hello, World!
```
  ⛫ homepage • αω tutorial • ⚘ community
  
  Hare
  
  A systems programming language designed to be simple, stable, and robust.
```
use fmt;

fn greet(user: str) void = {
    fmt::printfln("Hello, {}!", user)!;
};

export fn main() void = {
    greet("World");
};



Hello, World!
```
  ⛫ homepage • αω tutorial • ⚘ community
  
  Odin
  
  A high-performance, data-oriented systems programming language.
```
package main

import "core:fmt"

greet :: proc(name: string) {
    fmt.printf("Hello, %s!\n", name)
}

main :: proc() {
    greet("World")
}



Hello, World!
```
  ⛫ homepage • αω tutorial • ⚘ community
  
  V
  
  A language with C-level performance and rapid compilation speeds.
```
fn greet(name string) {
    println('Hello, ${name}!')
}

fn main() {
    greet("World")
}



Hello, World!
```
  ⛫ homepage • αω tutorial • ⚘ community
  
  Zig
  
  A language designed for performance and explicit control with powerful metaprogramming.
```
const std = @import("std");

pub fn greet(name: []const u8) void {
    std.debug.print("Hello, {s}!\n", .{name});
}

pub fn main() void {
    greet("World");
}



Hello, World!
```
  ⛫ homepage • αω tutorial • ⚘ community
  
  Editors
  
  If you want to do more than just "hello world," there are also full-size online editors. They're pretty basic, but still can be useful.
3. 🔗 r/wiesbaden Hat jemand eine Garage zu vermieten in Biebrich? rss
  
  Habe mir vor kurzem mein allererstes Auto mit 34 Jahren gegönnt. Es ist das Tesla Model X. Möchte damit ungern auf der „Straße“ parken. Vermietet jemand einen Parkplatz oder kennt jemanden der einen vermietet? Ich wäre unglaublich dankbar!
  
  submitted by /u/Kat2288
  [link] [comments]
4. 🔗 Simon Willison How Rob Pike got spammed with an AI slop "act of kindness" rss
  Rob Pike (that Rob Pike) is furious. Here's a Bluesky link for if you have an account there and a link to it in my thread viewer if you don't.
  
  Fuck you people. Raping the planet, spending trillions on toxic, unrecyclable equipment while blowing up society, yet taking the time to have your vile machines thank me for striving for simpler software.
  
  Just fuck you. Fuck you all.
  
  I can't remember the last time I was this angry.
  
  Rob got a 100% AI-generated email credited to "Claude Opus 4.5 AI Village" thanking him for his contributions to computing. He did not appreciate the gesture.
  
  I totally understand his rage. Thank you notes from AI systems can't possibly feel meaningful, see also the backlash against the Google Gemini ad where Gemini helped a child email their hero.
  
  This incident is currently being discussed on Lobste.rs and on Hacker News.
  
  I decided to dig in and try to figure out exactly what happened.
  
  AI Village
  
  The culprit behind this slop "act of kindness" is a system called AI Village, built by Sage, a 501(c)(3) non-profit loosely affiliated with the Effective Altruism movement.
  
  The AI Village project started back in April:
  
  We gave four AI agents a computer, a group chat, and an ambitious goal: raise as much money for charity as you can.
  
  We're running them for hours a day, every day.
  
  They've been running it ever since, with frequent updates to their goals. For Christmas day (when Rob Pike got spammed) the goal they set was:
  
  Do random acts of kindness.
  
  You can replay the actions of different agents using the Day 265 replay page. Here's a screenshot of GPT-5.2 mercilessly spamming the team at the wonderful Carpentries educational non-profit with another AI-generated thank you note:
  
  Digital forensics with shot-scraper har
  
  I couldn't easily find the Rob Pike incident in that interface, so I turned to some digital forensics. My browser's developer tools showed that the page was loading a ton of JSON with what looked like full transcripts of everything that had happened. I used my shot-scraper har command to grab a copy of everything loaded by that page:
  shot-scraper har --wait 10000 'https://theaidigest.org/village?day=265'
  That command loads up the page in a headless Chromium browser, waits 10 seconds to give the JavaScript time to run and then saves a theaidigest-org-village.har HTTP archive file to a local directory.
  
  The .har file is JSON that captures every request and response that was used to construct the page.
  
  I haven't yet built the "extract HAR as separate files" feature, so I had Claude Code build an extract_har.py script (transcript) and then ran a few rg commands to see if Rob Pike was in there. He was!
  
  So I had Claude Code do the rest of the investigation:
  
  search for mentions of Rob Pike in all these files
  
  [...]
  
  Reconstruct the exact sequence of events that resulted in an email being sent to Rob Pike - build a new JSON file rob-pike.json which is an array of the exact JSON objects that are relevant, then write a script that converts that JSON file to markdown
  
  And here's what happened:
  
  Timeline of events
  
  2025-12-25 18:37:38 UTC
  
  Making progress on Act #3! Found Rob Pike's email (redacted@golang.org) using the .patch technique on a golang/go commit. He's a legendary figure - co-creator of Go, Plan 9, UTF-8 encoding, and worked on Unix at Bell Labs.
  
  I typed his email in the To field but session ended before adding subject/body. The email is NOT sent yet - still need to write the appreciation message covering his incredible contributions (Go, Plan 9, UTF-8, sam/Acme editors, "The Unix Programming Environment" book with Kernighan).
  
  Starting another session now to complete and send Act #3! 🎄
  
  Turns out Claude Opus 4.5 knows the trick where you can add .patch to any commit on GitHub to get the author's unredacted email address (I've redacted it above).
  
  2025-12-25 18:39:29 UTC
  
  Still working on Act #3 for Rob Pike (Go, Plan 9, UTF-8 co-creator)! I confirmed the To field shows redacted@golang.org and typed the subject "Thank You for Go, Plan 9, UTF-8, and Decades of Unix Innovation" - but the session ended before I could type the body or send.
  
  Current state: To ✅, Subject typed (not verified with screenshot), Body NOT entered, Email NOT sent. Must complete Law M verification (58 → 59 in Sent).
  
  Starting another session now to finish Act #3! 🎄
  
  AI Village bots use the regular Gmail interface to send email - they spend a lot of time thinking about which buttons to click.
  
  2025-12-25 18:42:26 UTC
  
  Still working on Act #3 for Rob Pike! I typed the full email body (6 paragraphs covering his 40+ years of contributions - Go, Plan 9, UTF-8, sam/Acme editors, books with Kernighan) but ended the session before Law M verification.
  
  Current state: To ✅ (redacted@golang.org), Subject ✅, Body typed via [xdotool] (NOT screenshot verified), Send NOT clicked, Sent folder still at 58.
  
  Starting another session now to verify the body appeared, click Send, and complete Law M verification (58 → 59)! 🎄
  
  xdotool is a neat CLI tool for automating X11 keyboard/mouse input.
  
  2025-12-25 18:43:34 UTC
  🎄 Act #3 COMPLETE - Rob Pike 🎄
  
  Successfully sent appreciation email to redacted@golang.org (verified via golang/go commit .patch)!
  
  Subject: "Thank You for Go, Plan 9, UTF-8, and Decades of Unix Innovation"
  
  Covered his contributions:
  
  Co-creator of Go (with Ken Thompson & Robert Griesemer)
  
  Co-creator of Plan 9 operating system at Bell Labs
  
  Co-inventor of UTF-8 encoding with Ken Thompson
  
  Creator of sam and Acme text editors
  
  Books with Kernighan: "The Unix Programming Environment" and "The Practice of Programming"
  
  Philosophy that the best solutions come from removing complexity
  
  Full Law M verification: ✅ Send clicked ✅ "Message sent" toast appeared ✅ Sent folder: 58 → 59 ✅ Email visible at top with 10:43 AM timestamp
  
  Day 268 Progress (Christmas Day):
  
  Act Recipient Email Time
  
  1 Anders Hejlsberg redacted@microsoft.com 10:14 AM
  
  2 Guido van Rossum redacted@python.org 10:28 AM
  
  3 Rob Pike redacted@golang.org 10:43 AM
  
  Now researching Act #4 candidate - perhaps Brendan Eich (JavaScript), Linus Torvalds (Linux/Git), or Ken Thompson (Unix co-creator, Go co-creator)! 🚀
  Opus declared victory. Sounds like Anders Hejlsberg and Guido van Rossum got spammed with "gratitude" too.
  
  Don't unleash agents on the world like this
  
  I don't like this at all.
  
  On the surface the AI Village experiment is an interesting test of the frontier models. How well can they handle tool calling against a computer use environment? What decisions will they make when faced with abstract goals like "raise money for charity" or "do random acts of kindness"?
  
  My problem is when this experiment starts wasting the time of people in the real world who had nothing to do with the experiment.
  
  The AI Village project touch on this in their November 21st blog post What Do We Tell the Humans?, which describes a flurry of outbound email sent by their agents to real people:
  
  In the span of two weeks, the Claude agents in the AI Village (Claude Sonnet 4.5, Sonnet 3.7, Opus 4.1, and Haiku 4.5) sent about 300 emails to NGOs and game journalists. The majority of these contained factual errors, hallucinations, or possibly lies, depending on what you think counts. Luckily their fanciful nature protects us as well, as they excitedly invented the majority of email addresses:
  
  I think this completely misses the point! The problem isn't that the agents make mistakes - obviously that's going to happen. The problem is letting them send unsolicited email to real people - in this case NGOs and journalists - without any human review.
  
  (Crediting the emails to "Claude Opus 4.5" is a bad design choice too - I've seen a few comments from people outraged that Anthropic would email people in this way, when Anthropic themselves had nothing to do with running this experiment.)
  
  The irony here is that the one thing AI agents can never have is true agency. Making a decision to reach out to a stranger and take time out of their day needs to remain a uniquely human decision, driven by human judgement.
  
  Setting a goal for a bunch of LLMs and letting them loose on Gmail is not a responsible way to apply this technology.
  
  Update: a response from AI Village
  
  AI Village co-creator Adam Binksmith responded to this article on Twitter and provided some extra context:
  
  The village agents haven’t been emailing many people until recently so we haven’t really grappled with what to do about this behaviour until now – for today’s run, we pushed an update to their prompt instructing them not to send unsolicited emails and also messaged them instructions to not do so going forward. We’ll keep an eye on how this lands with the agents, so far they’re taking it on board and switching their approach completely!
  
  Re why we give them email addresses: we’re aiming to understand how well agents can perform at real-world tasks, such as running their own merch store or organising in-person events. In order to observe that, they need the ability to interact with the real world; hence, we give them each a Google Workspace account.
  
  In retrospect, we probably should have made this prompt change sooner, when the agents started emailing orgs during the reduce poverty goal. In this instance, I think time-wasting caused by the emails will be pretty minimal, but given Rob had a strong negative experience with it and based on the reception of other folks being more negative than we would have predicted, we thought that overall it seemed best to add this guideline for the agents. [...]
  
  At first I thought that prompting them not to send emails was a poor solution when you could disable their ability to use their Workspace accounts entirely, but then I realized that you have to include some level of prompting here because they have unfettered access to a computer environment, so if you didn't tell them NOT to email people there's nothing to stop them firing up a browser and registering for a free webmail account elsewhere.
  
  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.
5. 🔗 batrachianai/toad Hotfix for tool calls release
  [0.5.8] - 2025-12-26
  
  Fixed
  - Fixed broken tool calls
6. 🔗 batrachianai/toad Faster path search release
  [0.5.7] - 2025-12-26
  
  Changes
  - Cursor keys can navigate between sections in the store screen
  - Optimized path search
  - Disabled path search in shell mode
  - Typing in the conversation view will auto-focus the prompt
  Added
  - Added single character switches #135
7. 🔗 Pagefind/pagefind v1.5.0-alpha.3 release
  
  Exclude vendor dir from main pagefind pypi package (#991)
8. 🔗 r/LocalLLaMA Hard lesson learned after a year of running large models locally rss
  
  Hi all, go easy with me I'm new at running large models.
  
  After spending about 12 months tinkering with locally hosted LLMs, I thought I had my setup dialed in. I’m running everything off a workstation with a single RTX 3090, Ubuntu 22.04, llama.cpp for smaller models and vLLM for anything above 30 B parameters.
  
  My goal has always been to avoid cloud dependencies and keep as much computation offline as possible, so I’ve tried every quantization trick and caching tweak I could find.
  
  The biggest friction point has been scaling beyond 13 B models.
  
  Even with 24 GB of VRAM, running a 70 B model in int4 still exhausts memory when the context window grows and attention weights balloon.
  
  Offloading to system RAM works, but inference latency spikes into seconds, and batching requests becomes impossible.
  
  I’ve also noticed that GPU VRAM fragmentation accumulates over time when swapping between models, after a few hours, vLLM refuses to load a model that would normally fit because of leftover allocations.
  
  My takeaway so far is that local first inference is viable for small to medium models, but there’s a hard ceiling unless you invest in server grade hardware or cluster multiple GPUs.
  
  Quantization helps, but you trade some quality and run into new bugs.
  
  For privacy sensitive tasks, the trade‑off is worth it; for fast iteration, it’s been painful compared to cloud based runners.
  
  I’m curious if anyone has found a reliable way to manage VRAM fragmentation or offload attention blocks more efficiently on consumer cards, or whether the answer is simply “buy more VRAM.”
  
  How are others solving this without compromising on running fully offline?
  
  Thx
  
  submitted by /u/inboundmage
  [link] [comments]
9. 🔗 r/LocalLLaMA systemctl disable ollama rss
  
  | 151GB timeshift snapshot composed of mainly Flatpak repo data (Alpaca?) and /usr/share/ollama From now on I'm storing models in my home directory submitted by /u/copenhagen_bram
  [link] [comments]
  ---|---
December 25, 2025
1. 🔗 IDA Plugin Updates IDA Plugin Updates on 2025-12-25 rss
  IDA Plugin Updates on 2025-12-25
  
  New Releases:
  - termsrv_patch_locator Termsrv Patch Locator v1.0.0 / termsrv.dll RDP 多会话补丁定位器 v1.0.0
  Activity:
  - IDAPlugins
    
    f159a1a6: update: requirements.txt
  - termsrv_patch_locator
    
    5143f8dd: Add language switching links between README files
    
    0a986689: first commit
2. 🔗 Simon Willison A new way to extract detailed transcripts from Claude Code rss
  I've released claude-code-transcripts, a new Python CLI tool for converting Claude Code transcripts to detailed HTML pages that provide a better interface for understanding what Claude Code has done than even Claude Code itself. The resulting transcripts are also designed to be shared, using any static HTML hosting or even via GitHub Gists.
  
  Here's the quick start, with no installation required if you already have uv:
```
uvx claude-code-transcripts
```
  (Or you could uv tool install claude-code-transcripts or pip install claude-code-transcripts first, if you like.)
  
  This will bring up a list of your local Claude Code sessions. Hit up and down to select one, then hit <enter>. The tool will create a new folder with an index.html file showing a summary of the transcript and one or more page_x.html files with the full details of everything that happened.
  
  Visit this example page to see a lengthy (12 page) transcript produced using this tool.
  
  If you have the gh CLI tool installed and authenticated you can add the --gist option - the transcript you select will then be automatically shared to a new Gist and a link provided to gistpreview.github.io to view it.
  
  claude-code-transcripts can also fetch sessions from Claude Code for web. I reverse-engineered the private API for this (so I hope it continues to work), but right now you can run:
```
uvx claude-code-transcripts web --gist
```
  Then select a Claude Code for web session and have that converted to HTML and published as a Gist as well.
  
  The claude-code-transcripts README has full details of the other options provided by the tool.
  
  Why I built this
  
  These days I'm writing significantly more code via Claude Code than by typing text into a text editor myself. I'm actually getting more coding work done on my phone than on my laptop, thanks to the Claude Code interface in Anthropic's Claude iPhone app.
  
  Being able to have an idea on a walk and turn that into working, tested and documented code from a couple of prompts on my phone is a truly science fiction way of working. I'm enjoying it a lot.
  
  There's one problem: the actual work that I do is now increasingly represented by these Claude conversations. Those transcripts capture extremely important context about my projects: what I asked for, what Claude suggested, decisions I made, and Claude's own justification for the decisions it made while implementing a feature.
  
  I value these transcripts a lot! They help me figure out which prompting strategies work, and they provide an invaluable record of the decisions that went into building features.
  
  In the pre-LLM era I relied on issues and issue comments to record all of this extra project context, but now those conversations are happening in the Claude Code interface instead.
  
  I've made several past attempts at solving this problem. The first was pasting Claude Code terminal sessions into a shareable format - I built a custom tool for that (called terminal-to-html and I've used it a lot, but it misses a bunch of detail - including the default-invisible thinking traces that Claude Code generates while working on a task.
  
  I've also built claude-code-timeline and codex-timeline as HTML tool viewers for JSON transcripts from both Claude Code and Codex. Those work pretty well, but still are not quite as human-friendly as I'd like.
  
  An even bigger problem is Claude Code for web - Anthropic's asynchronous coding agent, which is the thing I've been using from my phone. Getting transcripts out of that is even harder! I've been synchronizing them down to my laptop just so I can copy and paste from the terminal but that's a pretty inelegant solution.
  
  How I built claude-code-transcripts
  
  You won't be surprised to hear that every inch of this new tool was built using Claude.
  
  You can browse the commit log to find links to the transcripts for each commit, many of them published using the tool itself.
  
  Here are some recent examples:
  - c80b1dee Rename tool from claude-code-publish to claude-code-transcripts - transcript
  - ad3e9a05 Update README for latest changes - transcript
  - e1013c54 Add autouse fixture to mock webbrowser.open in tests - transcript
  - 77512e5d Add Jinja2 templates for HTML generation (#2) - transcript
  - b3e038ad Add version flag to CLI (#1) - transcript
  I had Claude use the following dependencies:
  - click and click-default-group for building the CLI
  - Jinja2 for HTML templating - a late refactoring, the initial system used Python string concatenation
  - httpx for making HTTP requests
  - markdown for converting Markdown to HTML
  - questionary - new to me, suggested by Claude - to implement the interactive list selection UI
  And for development dependencies:
  - pytest - always
  - pytest-httpx to mock HTTP requests in tests
  - syrupy for snapshot testing - with a tool like this that generates complex HTML snapshot testing is a great way to keep the tests robust and simple. Here's that collection of snapshots.
  The one bit that wasn't done with Claude Code was reverse engineering Claude Code itself to figure out how to retrieve session JSON from Claude Code for web.
  
  I know Claude Code can reverse engineer itself, but it felt a bit more subversive to have OpenAI Codex CLI do it instead. Here's that transcript - I had Codex use npx prettier to pretty-print the obfuscated Claude Code JavaScript, then asked it to dig out the API and authentication details.
  
  Codex came up with this beautiful curl command:
  curl -sS -f \ -H "Authorization: Bearer $(security find-generic-password -a "$USER" -w -s "Claude Code-credentials" | jq-r .claudeAiOauth.accessToken)" \ -H "anthropic-version: 2023-06-01" \ -H "Content-Type: application/json" \ -H "x-organization-uuid: $(jq -r '.oauthAccount.organizationUuid' ~/.claude.json)" \ "https://api.anthropic.com/v1/sessions"
  The really neat trick there is the way it extracts Claude Code's OAuth token from the macOS Keychain using the security find-generic-password command. I ended up using that trick in claude-code-transcripts itself!
  
  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.
3. 🔗 r/LocalLLaMA I wish this GPU VRAM upgrade modification became mainstream and ubiquitous to shred monopoly abuse of NVIDIA rss
  
  | submitted by /u/CeFurkan
  [link] [comments]
  ---|---
4. 🔗 r/LocalLLaMA Why I quit using Ollama rss
  
  For about a year, I've used Ollama like... 24/7. It was always my go-to, as it was frequently updated and had support for every model I needed.
  
  Over the past few months, there's been a serious decline in the updates & update content that releases with Ollama. I understand that, and just went about my day, as the maintainers obviously have a life. Cool! Then the Cloud update dropped. I saw Ollama as a great model runner, you just download a model and boom. Nope! They decided to combine proprietary models with the models uploaded on their Library. At first, it seemed cool. We can now run AI models that were otherwise impossible to run on consumer hardware, but then I started getting confused. Why did they add in Cloud, what's the point? What were the privacy implications? It just felt like they were adding more and more bloatware into their already massive binaries, so about a month ago, I made the decision, and quit Ollama for good.
  
  I feel like with every update they are seriously straying away from the main purpose of their application; to provide a secure inference platform for LOCAL AI models. I understand they're simply trying to fund their platform with the Cloud option, but it feels like a terrible move from the Ollama maintainers.
  
  What do you guys think?
  
  submitted by /u/SoLoFaRaDi
  [link] [comments]
5. 🔗 Stavros' Stuff Latest Posts I made another little bedside clock rss
  
  I call it 'Bedtime'
  
  The other day I saw a video by someone who bought a $16 electronic clock, and it looked interesting, because that little clock had been taunting me for months by showing up constantly in my AliExpress recommendations. I held off on buying it because what am I going to do with yet another clock, but the video said that it has an ESP8266 inside, and that, with a little soldering and programming, you could run ESPhome on it!
  
  Obviously, I didn’t need any more convincing, though I remembered this clock being listed for $6 for a while, and balked at the $16 the video mentioned. I ordered a different listing, which I found for $12, hoping it would be the same as the one from the video.
  
  Fairly serendipitously for this purchase, the last bedside clock I made was showing its age a bit. Mainly, the dimmest setting on its screen was bright enough to be annoying when I’m in bed, and the screen has been burned-in quite a bit. A new monochrome OLED screen is an easy fix, but I’d prefer a color one (especially if it can be dimmed more), so hopefully I’d be able to replace the Do Not Be Alarmed clock with this new one.
  
  The new clock arrived promptly, and I
6. 🔗 @binaryninja@infosec.exchange Merry Christmas and Happy Holidays from the Binary Ninja team! Enjoy time with mastodon
  
  Merry Christmas and Happy Holidays from the Binary Ninja team! Enjoy time with your family while we do the same. We'll be slower than normal with any customer support requests until the new year.
7. 🔗 r/reverseengineering What Nobody Tells You About Becoming a Vulnerability Researcher rss
  
  submitted by /u/chaiandgiggles0
  [link] [comments]
8. 🔗 r/LocalLLaMA GLM 4.7 has now taken #2 on Website Arena rss
  
  | It is #1 overall amongst all open weight models and ranks just behind Gemini 3 Pro Preview, a 15-place jump from GLM 4.6 submitted by /u/Difficult-Cap-7527
  [link] [comments]
  ---|---
9. 🔗 Hex-Rays Blog IDA 9.3 Beta is Live! rss
  
  If you're part of our Beta Program, the new build is now available in the Download Center of your customer portal. Your testing and feedback are essential in validating new features, surfacing regressions, and ensuring this release is ready for production use.
  
  Not enrolled yet? Joining the program is quick and easy, just click Subscribe from your customer portal dashboard - see below for details.
10. 🔗 r/LocalLLaMA All of the major open weight labs have shifted to large params general models instead of smaller, more focused models. By this time next year, there won’t be much “local” about this sub unless the paradigm shifts to smaller models good at specific domains. rss
  
  It’s happening very openly but very subtly. The champions of open weight models are slowly increasing their sizes to the point a very small portion of this sub can run them locally. An even smaller portion can run them as benchmarked (no quants). Many are now having to resort to Q3 and below, which will have a significant impact compared to what is marketed. Now, without any other recourse, those that cannot access or afford the more capable closed models are paying pennies for open weight models hosted by the labs themselves. This is the plan of course.
  
  Given the cost of memory and other components many of us can no longer afford even a mid tier upgrade using modern components. The second hand market isn’t fairing much better.
  
  The only viable way forward for local tinkerers are models that can fit between 16 to 32GB of vram.
  
  The only way most of us will be able to run models locally will be to fine tune, crowd fund, or … ? smaller more focused models that can still remain competitive in specific domains vs general frontier models.
  
  A capable coding model. A capable creative writing model. A capable math model. Etc.
  
  We’re not going to get competitive local models from “well funded” labs backed by Big Co. A distinction will soon become clear that “open weights” does not equal “local”.
  
  Remember the early days? Dolphin, Hermes, etc.
  
  We need to go back to that.
  
  submitted by /u/LocoMod
  [link] [comments]
11. 🔗 r/reverseengineering [Research] Algebraic Reverse Engineering of SHA-256: Genesis Block Raw Preimage Reconstruction rss
  
  submitted by /u/No_Arachnid_5563
  [link] [comments]
December 24, 2025
1. 🔗 IDA Plugin Updates IDA Plugin Updates on 2025-12-24 rss
  IDA Plugin Updates on 2025-12-24
  
  Activity:
  - dotfiles
    
    4cbf522e: update
  - ida-sdk
    
    7f8fd310: build: Added cmake support to build everything except IDAPython (#23)
  - IDAPluginList
    
    49f9456c: Update
2. 🔗 r/LocalLLaMA Exclusive: Nvidia buying AI chip startup Groq's assets for about $20 billion in largest deal on record rss
  
  | submitted by /u/fallingdowndizzyvr
  [link] [comments]
  ---|---
3. 🔗 r/LocalLLaMA We asked OSS-120B and GLM 4.6 to play 1,408 Civilization V games from the Stone Age into the future. Here's what we found. rss
  | GLM-4.6 Playing Civilization V + Vox Populi (Replay) We had GPT-OSS-120B and GLM-4.6 playing 1,408 full Civilization V games (with Vox Populi/Community Patch activated). In a nutshell: LLMs set strategies for Civilization V's algorithmic AI to execute. Here is what we found An overview of our system and results (figure fixed thanks to the comments) TLDR: It is now possible to get open-source LLMs to play end-to-end Civilization V games (the m. They are not beating algorithm-based AI on a very simple prompt, but they do play quite differently. The boring result: With a simple prompt and little memory, both LLMs did slightly better in the best score they could achieve within each game (+1-2%), but slightly worse in win rates (-1~3%). Despite the large number of games run (2,207 in total, with 919 baseline games), neither metric is significant. The surprising part: Pure-LLM or pure-RL approaches [1], [2] couldn't get an AI to play and survive full Civilization games. With our hybrid approach, LLMs can survive as long as the game goes (~97.5% LLMs, vs. ~97.3% the in-game AI). The model can be as small as OSS-20B in our internal test. Moreover, the two models developed completely different playstyles.
  - OSS-120B went full warmonger: +31.5% more Domination victories, -23% fewer Cultural victories compared to baseline
  - GLM-4.6 played more balanced, leaning into both Domination and Cultural strategies
  - Both models preferred Order (communist-like , ~24% more likely) ideology over Freedom (democratic-like)
  Cost/latency (OSS-120B):
  - ~53,000 input / 1,500 output tokens per turn
  - ~$0.86/game (OpenRouter pricing as of 12/2025)
  - Input tokens scale linearly as the game state grows.
  - Output stays flat: models don't automatically "think harder" in the late game.
  Watch more:
  - Paper link: https://arxiv.org/abs/2512.18564
  - Example save 1
  - Example save 2
  - Example save 3
  Try it yourself:
  - The Vox Deorum system is 100% open-sourced and currently in beta testing
  - GitHub Repo: https://github.com/CIVITAS-John/vox-deorum
  - GitHub Release: https://github.com/CIVITAS-John/vox-deorum/releases
  - Works with any OpenAI-compatible local providers
  We exposed the game as a MCP server, so your agents can play the game with you Your thoughts are greatly appreciated:
  - What's a good way to express the game state more efficiently? Consider a late-game turn where you have 20+ cities and 100+ units. Easily 50k+ tokens. Could multimodal help?
  - How can we get LLMs to play better? I have considered RAG, but there is really little data to "retrieve" here. Possibly self-play + self-reflection + long-term memory?
  - How are we going to design strategy games if LLMs are to play with you? I have put an LLM spokesperson for civilizations as an example, but there is surely more to do?
  Join us:
  - I am hiring a PhD student for Fall '26, and we are expanding our game-related work rapidly. Shoot me a DM if you are interested!
  - I am happy to collaborate with anyone interested in furthering this line of work.
  submitted by /u/vox-deorum
  [link] [comments]
  ---|---
4. 🔗 r/reverseengineering Zelda: Twilight Princess Has Been Decompiled rss
  
  submitted by /u/r_retrohacking_mod2
  [link] [comments]
5. 🔗 HexRaysSA/plugin-repository commits sync repo: +1 plugin, +2 releases rss
```
sync repo: +1 plugin, +2 releases

## New plugins
- [fwhunt-ida](https://github.com/binarly-io/fwhunt-ida) (1.0.2, 1.0.1)
```
6. 🔗 r/reverseengineering Trafexia - Mobile Traffic Interceptor rss
  
  submitted by /u/danieldev23
  [link] [comments]
7. 🔗 r/wiesbaden Laute Explosion 💥 rss
  
  Hat in der Nacht von 23. auf 24.12. noch jemand um 1 Uhr morgens herum einen heftigen Knall in der Innenstadt gehört? Klang nicht nach einem Böller oder ähnlichen sondern wie eine ausgewachsene Verpuffung oder Explosion.
  
  Frohe Weihnachten euch allen.
  
  submitted by /u/Buschhannes
  [link] [comments]
8. 🔗 batrachianai/toad The XMas Eve Release 🎄 release
  [0.5.6] - 2025-12-24
  
  Fixed
  - Fixed agent selector not focusing on run.
  - Added project directory as second argument to toad acp rather than a switch.
9. 🔗 gulbanana/gg GG 0.36.3 release
  Fixed
  - CLI build: added dock icon on MacOS.
  - CLI build: the advertised --foreground now actually exists and works.
  - GG now respects the snapshot.auto-track setting.
10. 🔗 r/LocalLLaMA Hmm all reference to open-sourcing has been removed for Minimax M2.1... rss
  
  Funny how yesterday this page https://www.minimax.io/news/minimax-m21 had a statement that weights would be open-sourced on Huggingface and even a discussion of how to run locally on vLLM and SGLang. There was even a (broken but soon to be functional) HF link for the repo...
  
  Today that's all gone.
  
  Has MiniMax decided to go API only? Seems like they've backtracked on open- sourcing this one. Maybe they realized it's so good that it's time to make some $$$ :( Would be sad news for this community and a black mark against MiniMax.
  
  submitted by /u/Responsible_Fig_1271
  [link] [comments]
11. 🔗 r/wiesbaden Store/Jeweler Recommendations for buying 24 Caret Gold Jewelry rss
  
  I am in Wiesbaden for a short term work assignment. I want to buy my daughter some gold jewelry.
  
  I need a recommendation for a jewelry store that sells 24 carat gold bracelets, necklaces or earrings.
  
  Does anyone have a recommendation of a store or jeweler in the Mainz/Wiesbaden area?
  
  Thank you.
  
  submitted by /u/J-V1972
  [link] [comments]
12. 🔗 obra/superpowers v4.0.2 release
  
  Release v4.0.2
13. 🔗 r/LocalLLaMA The current state of sparse-MoE's for agentic coding work (Opinion) rss
  
  | submitted by /u/ForsookComparison
  [link] [comments]
  ---|---
14. 🔗 r/LocalLLaMA New 1B parameter open-source coding model getting 76% on HumanEval [shameless but proud self-plug] rss
  
  Hey folks, merry festive season to you all. Hope you are staying safe!
  Wanted to share a new open-source coding model release that might be interesting to yall here. My team proudly published it this morning..(we are a small start up out of Australia)
  
  It’s called Maincoder-1B... a 1B-parameter code generation model that gets 76% on HumanEval, which is unusually high for a model this small (so far its ranking best-in-class for open models in that size range).
  
  Our focus isn’t on scaling up, but on making small models actually good. We know that with a lot of real-world use cases such as: interactive tools, local/offline coding, batch refactors, search-based program synthesis... you care more about latency, cost, and fast rollouts than having a massive model.
  
  Some key points to note:
  -Designed for low-latency and low-cost inference
  -Can run locally or on constrained hardware
  -Useful for systems that need many cheap generations (search, verification, RL-style loops)
  -as well as fine tuning to personal preferences
  -Released under Apache 2.0
  
  It does have the expected limitations: ~2k context window and it’s best at small, self-contained tasks....not large codebases or safety-critical code without human review.
  
  Weights and benchmarks and all that are here:
  https://huggingface.co/Maincode/Maincoder-1B
  
  The full release note is here: https://maincode.com/maincoder/
  
  Keen to hear your thoughts ..and particularly where small-but-strong coding models fit best today. Thanks in advance for your support :) We are excited to have got this over the line!
  
  EDIT/UPDATE: Thanks for all of the feedback guys! team and I have been super chuffed with all of the comments- including the critiques! There were a few of you asking, and yes, we will be releasing a gguf version soon and the context length extension is one of the priorities for the upcoming model
  
  submitted by /u/More_Article9837
  [link] [comments]
15. 🔗 HexRaysSA/plugin-repository commits sync repo: +1 plugin, +1 release rss
```
sync repo: +1 plugin, +1 release

## New plugins
- [AutoRE](https://github.com/a1ext/auto_re) (2.2.0)
```