The Halo Decompilation Project is insane.
They’re using LLMs to reverse-engineer the game from bytecode, basically rebuilding it line by line.
And they’ve already gotten Halo to boot in wireframe.
We’re entering a completely new era of game preservation.
A senior Anthropic engineer just dropped 11-page PDF on "Loop Engineering" for agentic systems.
The shift: you stop prompting the agent. You build the system that prompts it instead.
Schedule → Discover → Build → Verify → Repeat
Every loop runs one turn, five moves:
• Discovery: it finds its own work - failing CI, open issues, recent commits - instead of being handed a list.
• Handoff: each task gets an isolated git worktree so parallel agents don't collide.
• Verification: a second agent, told to assume the code is broken, reviews the first. The "thing that can say no."
• Persistence: results get written to disk, never left in a context window that gets flushed.
• Scheduling: an automation wakes it on a timer. That's what makes it a loop.
The key insight: an agent grading its own work always praises it.
This 11-page PDF changed how I'm building agentic systems today.
Read it now, then explore the article below.
Web scraping will never be the same.
(100% open-source visual search at scale)
PixelRAG is a retrieval system that skips HTML parsing completely.
Instead of scraping a page into text and embedding chunks, it screenshots the page and retrieves the image. A vision-language model reads the answer straight off the pixels.
Why that matters: parsing is where web RAG quietly loses information.
- A single HTML-to-text parser can drop 40%+ of a page.
- Tables, charts, and layout get flattened or thrown out.
- Swapping parsers alone can move accuracy ~10 points on the same docs.
PixelRAG indexes the page a person actually sees. The team built a visual index of all of Wikipedia, 30M+ screenshots, and it still beats the strongest text RAG baseline by 18.1% on text-only QA.
The repo also ships a Claude Code plugin that gives Claude eyes.
It lets Claude screenshot any URL and read the rendered page instead of scraping the DOM. So you can hand it a live page, an arXiv paper, or your local site and ask what it actually looks like.
One setup script. No MCP server, no backend.
How the pipeline works:
- Renders each document (web, PDF, image) to image tiles.
- Embeds them with Qwen3-VL-Embedding, LoRA fine-tuned on screenshots.
- Builds a FAISS index and serves a search API.
A stronger reader model lifts accuracy with no re-indexing, since the index is just pixels.
Everything is open-source under Apache-2.0.
GitHub repo: https://t.co/qun9TjAdmw
Talking about RAG, I recently wrote an article on a new approach that makes retrieval much more efficient by cutting corpus size by 40x, reducing tokens per query by 3x, and improving vector search relevance by 2.3x.
The article is quoted below.
Someone open-sourced an Android emulator that runs in Docker.
It's called docker-android. One docker command spins up a complete Android device with ADB port-forwarding, KVM, and GPU acceleration.. fully headless and CI-ready.
100% Open Source.
Everyone is sleeping on this new OCR model!
- 85.9% (sota) on olmocr bench
- 90+ language support w/benchmarks
- 4B model (down from 9B)
- Full layout information
- Extracts + captions images and diagrams
- Strong handwriting, math, form, table support
100% open-source.
This indie developer is making a deckbuilder where you have TWO decks (Combat/Exploration), affecting how to fight and how to move through the dungeons.
Do you like what you see of Shroom and Gloom?
wanted to learn Arduino but had no hardware
turns out you don't need it
Velxio runs Arduino, ESP32, Raspberry Pi, and RISC-V code directly in your browser.... real emulation
48+ components. no install. no account. completely free
https://t.co/cYPnVU0dhx
the hardware excuse is gone
If you have a Thunderbolt or USB4 eGPU and a Mac, today is the day you've been waiting for! Apple finally approved our driver for both AMD and NVIDIA. It's so easy to install now a Qwen could do it, then it can run that Qwen...