Abdullah

A peanut-sized Chinese model just dethroned Gemini at reading documents. GLM-OCR is a 0.9B parameter vision-language model. It scores 94.62 on OmniDocBench V1.5, ranking #1 overall. For context, it outperforms models 100x its size. 100% open-source. It works in two stages. 1. A layout engine detects every region in a document. 2. Each region gets read in parallel. The model predicts multiple tokens per step instead of one. That's what makes it so fast at small size. It handles things most OCR tools struggle with: > Complex tables and nested layouts > Handwritten text and stamps > Math formulas and code blocks > Mixed image-and-text documents You can run it locally through Ollama. It fits on edge devices with limited compute. Every expensive OCR API just got a free competitor.

Honestly, this is the most accurate diagram I've seen. Waterfall: You plan for 18 months and deliver exactly what nobody needs anymore. Agile: You deliver something usable at every step, but the CEO keeps asking, "Where's the car?" AI: You get the car on day one. It has six wheels, the doors are on backwards, and it has a rocket launcher. You spend more time making it yours than actually "building"; it's shaping. owning. verifying. That's what the best AI developers do now. They don't build. They shape and own.

your spotify cache is bigger than our largest AI model. Bonsai: 1-bit weights. 1.7B to 8B params. 14x compression vs bf16. 8x faster on edge. 256 MB to 1.2GB. Based on Qwen 3. we just came out of stealth. intelligence belongs at the edge and we're going to put it there. Apache 2.0. we compressed intelligence. more coming. @PrismML

We’re bringing back Stanford’s CS25 Transformers course tomorrow! 🤖 It’s open to everyone (in-person + online). Weekly talks (every Thursday) from top AI researchers. One of Stanford’s most popular AI seminar courses. Don’t miss out! More info below 👇 (1/7)

I think I finally understand what an agent is. It's a prompt (or several), skills, and tools. Did I get this right?

‼️Do not npm install or deploy anything right now Supply chain attack on axios 1.14.1 - even if you don’t use axios it may be a nested dep. Pin versions or wait until this is resolved

We are entering the second half of research. Here is my advice to every PhD student before starting a project: 1. Can Claude Code solve it in a day? 2. Will a Research Agent solve it soon? 3. Will scaling solve it anyway? If the answer to all three is No, then maybe you have found a real research problem. Because in the age of AI, many things that looked like research are being revealed as delayed engineering. That does not make research less important. It makes problem selection more important than ever. The scarce resource is no longer intelligence. It is taste. It is originality. It is the ability to ask questions that survive automation. The first half of research was about solving hard problems. The second half is about knowing which problems are still worth solving. #research #academic #AI #GenAI #generativeai #airesearch #taste

Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm. Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks. Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages. Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.

Local AI is free, fast & secure! So today we're introducing hf-mount: attach any storage bucket, model or dataset from @huggingface as a local filesystem. This is a game changer, as it allows you to attach remote storage that is 100x bigger than your local machine's disk. This is also perfect for Agentic storage!! Let's go!

JEPA are finally easy to train end-to-end without any tricks! Excited to introduce LeWorldModel: a stable, end-to-end JEPA that learns world models directly from pixels, no heuristics. 15M params, 1 GPU, and full planning <1 second. 📑: le-wm.github.io

Students from 100+ universities across 30 countries are using Lightning's Academic Tier⚡ Get S3 access for large datasets, a 24/7 CPU studio that never shuts off, and spin up more powerful machines when experiments scale. No queues. No usage caps. No infrastructure setup. Just research. Register with your school email to unlock → go.lightning.ai/3L8dlqC

A visual guide to modern LLM attention variants, all in one place: magazine.sebastianraschka.com/p/visual-atten…

"Hissettiğin kısıtlamaların çoğu gerçek değil. Bunlar somut engeller değil; zaman geçtikçe doğru kabul etmeye başladığın düşüncelerdir."

@ThePrimeagen Wait ffmpeg, not imageMagick?

ffmpeg -i input.webp output.png

@oncekiyazilimci Güzel bir espiri :)

Yazılım bitince ne yapacağım diye düşünüyordum(!) Etiler'de "Garbage Collector" olabilirim. x.com/maashesabi/sta…

Introducing: Zed for Students! 🎓 Enjoy Zed's Pro plan free, for a year, if you're a current university student (or teacher!) - Zed Pro features for 12 months - $10/month in token credits - Unlimited edit predictions Apply today: zed.dev/education

It's over. Karpathy just open-sourced an autonomous AI researcher that runs 100 experiments while you sleep. You don't write the training code anymore. You write a prompt that tells an AI agent how to think about research. The agent edits the code, trains a small language model for exactly five minutes, checks the score, keeps or discards the result, and loops. All night. No human in the loop. That fixed five-minute clock is the quiet genius. No matter what the agent changes, the network size, the learning rate, the entire architecture, every run gets compared on equal footing. This turns open-ended research into a game with a clear score: - 12 experiments per hour, ~100 overnight - Validation loss measures how well the model predicts unseen text - Lower score wins, everything else is fair game The agent touches one Python file containing the full training recipe. You never open it. Instead, you program a markdown file that shapes the agent's research strategy. Your job becomes programming the programmer, and this unlocks a strange new loop: 1. Agents run real experiments without supervision 2. Prompt quality becomes the bottleneck, not researcher hours 3. Results auto-optimize for your specific hardware 4. Anyone with one GPU can run a research lab overnight The best AI labs won't just have the most compute. They'll have the best instructions for agents who never sleep, never forget a failed experiment, and never stop iterating.

@Frenck @openhomefndn @home_assistant I'd like join you Franck, as a Frontend Engineer. The Security Engineer position too, is super awesome.

🚀 I've just opened 2 new roles in my department at @openhomefndn to work full-time on @home_assistant! 🖥️ Frontend Engineer 🔐 Security Engineer Fully remote. Full-time. Open source every day. Honestly? Best job in the world. Know someone? Tag them 👇 Link in the reply.

Workflow designers, visual rule engines, system architecture diagrams, low-code editors. ngdiagram.dev is an open-source, Angular-native library built by Synergy Codes, that doesn’t lock you into one diagram type. It’s a foundation for building custom visual tools in real-world Angular apps. Check the GitHub: github.com/synergycodes/n…

"Howdy Folks, I'm Michael Pyrcz, a professor at The University of Texas at Austin, and I record all of my lectures and put them on YouTube so anyone can follow along!" ...and I kept doing that, and writing a Python package, along with 2 free, online e-books, 100s of Python demonstration workflows, dozens of synthetic datasets, etc. etc. Why? So anyone can follow along! Education changes lives. I know because it changed mine. I’m just paying it forward.