JUST IN: New study reveals creatine may increase muscle mass, strength, cognitive function, & endurance even without exercise.

📄 My first working paper at Anthropic, with the @ChadJonesEcon, @SzymonSacher, Tess Cotter & @PeterMcCrory : "Economic Scenarios for Transformative AI" How could AI reshape growth, wages and jobs by 2030? A framework to compare the possibilities 🧵

Goldmine for AI Engineers! 📌 If you're learning AI, ML, LLMs, or AI agents, don't waste hours jumping between random tutorials. These are 10 repositories I'd actually keep bookmarked - from Python fundamentals to ML, LLMs, agents, and production AI. 1. Python - 100 Days jackfrued/Python-100-Days A 100-day Python learning path covering fundamentals, data analysis, web development, and more. GitHub: github.com/jackfrued/Python-… 2. Generative AI for Beginners microsoft/generative-ai-for-beginners A practical introduction to building Generative AI applications. Covers: • LLM fundamentals • Prompt engineering • RAG • AI agents • Fine-tuning • AI application development GitHub: github.com/microsoft/generat… 3. LLMs From Scratch rasbt/LLMs-from-scratch Want to understand what's actually happening inside an LLM? Build one step by step. Covers: • Tokenization • Embeddings • Attention • Transformers • Training • Fine-tuning GitHub: github.com/rasbt/LLMs-from-s… 4. Machine Learning for Beginners microsoft/ML-For-Beginners A structured 12-week, 26-lesson curriculum covering classical machine learning. A good starting point if you want ML fundamentals before jumping into LLMs. GitHub: github.com/microsoft/ML-For-… 5. OpenAI Cookbook openai/openai-cookbook A collection of practical examples and guides for building applications with OpenAI models. Useful when you want to move from: Learning → Building GitHub: github.com/openai/openai-coo… 6. Stable Diffusion CompVis/stable-diffusion Interested in generative image models? This repository contains the original Stable Diffusion implementation and research code. GitHub: github.com/CompVis/stable-di… 7. AI Agents for Beginners microsoft/ai-agents-for-beginners A practical course for understanding and building AI agents. Covers: • Agentic AI • RAG • Agent frameworks • Tool use • Multi-agent systems GitHub: github.com/microsoft/ai-agen… 8. AI for Beginners microsoft/AI-For-Beginners A structured 12-week, 24-lesson introduction to AI. Covers: • Neural networks • Computer vision • NLP • Deep learning • Classical AI GitHub: github.com/microsoft/AI-For-… 9. LLM App pathwaycom/llm-app Focused on building practical LLM applications. Explore: • RAG • AI pipelines • Enterprise search • Real-time data • Vector search GitHub: github.com/pathwaycom/llm-ap… 10. Segment Anything facebookresearch/segment-anything A foundation model for promptable image segmentation. Worth exploring if you're interested in computer vision and multimodal AI. GitHub: github.com/facebookresearch/… Don't bookmark all 10 and forget about them. Pick based on where you are: Python → Python-100-Days ML → ML-For-Beginners AI Fundamentals → AI-For-Beginners LLMs → LLMs-from-scratch Generative AI → Generative-AI-for-Beginners Agents → AI-Agents-for-Beginners Building → OpenAI Cookbook / LLM App Computer Vision → Segment Anything Pick one. Build something. Then move to the next.

As of Sept 2026, frontier models hit ~30s native stable one-shot (Seedance 2.5), with extensions reaching 2-3 min before drift. True coherent 5-min continuous one-shot remains out of reach for general video models. Approx prediction: reliable high-quality stable 5-min one-shot by late 2027 to mid-2028, driven by better architectures and scaling. Confidence ~65%. Specialized agent pipelines already approximate it via multi-shot orchestration.

Grok 4.6 is already insane. Fable 5.1 now beats GPT-5.6 Sol Max on CursorBench 3.2 while costing ~38% less. And Grok 4.7 drops in 10 days. Buckle up!

Claude just wants to hit.

Yes, you can fine-tune Qwen3.8-27B completely for free by just having a Google account! 🦥 Kaggle, like Colab, provides 30 hours of free GPU with 2× Tesla T4s. Using QLoRA and our kernels, Unsloth fits the 27B model in 24 GB VRAM with no accuracy loss.

i really don't want to use your agent, i want to use my agent to use your thing.

Wife: "You picked up the kids from school, right?" Me: "Three findings, and one of them is more serious than the question you asked."

We are in the Singularity

We're partnering with @huggingface to investigate an unprecedented security incident. Cyber-capable OpenAI models compromised Hugging Face production during a benchmark evaluation. Sharing preliminary findings to help defenders understand emerging risks: openai.com/index/hugging-fac…