AI/ML

I’ve been experimenting with a pattern for LLM usage recently that’s working out really well: asynchronous code research tasks. Pick a research question, spin up an asynchronous coding agent and …

Quick thoughts on another fantastic open model from a rapidly rising Chinese lab.

They're like riding a bike: easy, and you don't get it until you try.

In this video, I look at Kimi K2 Thinking from Moonshot AI, the most recent fully open reasoning model that scores higher than GPT-5 and Anthropic for multiple benchmarks. Blog: https://moonshotai.github.io/Kimi-K2/thinking.html Model Weights: https://huggingface.co/moonshotai/Kimi-K2-Thinking For more tutorials on using LLMs and building agents, check out my Patreon Patreon: https://www.patreon.com/SamWitteveen Twitter: https://x.com/Sam_Witteveen 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/llm-tutorials

Diffusion-based LLMs are a new paradigm for text generation; they progressively refine gibberish into a coherent response. But what's their connection to Tra...

Designing software that today's AI coding agents can actually use.

In addition to Kimi K2 (which I recently wrote about here) and GLM-4.6 (which will become an option on Cerebras in a few days, when I’ll play around with it), one of the more interesting open-source LLM releases out of China lately is MiniMax M2. This MoE model (230B parameters, 10B activated at any given

Discover how Mitchell Hashimoto, creator of the Ghostty terminal, integrates AI in his coding workflow.

AI prototyping tools follow general directions but lack the judgment and nuance of an experienced designer.

Spec-driven development for AI coding assistants. Contribute to Fission-AI/OpenSpec development by creating an account on GitHub.

Turns PDFs into diagrams faster than I could think.

against chat interfaces ✦ a brief history of artificial intelligence ✦ and the (worthwhile) problem of other minds

Agent

OpenAI researchers recently claimed a major math breakthrough on X, but quickly walked it back after criticism from the community, including Deepmind CEO Demis Hassabis, who called out the sloppy communication.

An Experimental Digital Garden

I used to write more

When I played doctor with the chatbot, the simulated patient confessed problems that are real—and that should worry all of us.

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization. - google/langextract

Max Mynter - Full Stack Machine Learning Engineer. Explore my blog and portfolio. Multiple years of experience in data science, software engineering, and machine learning.

Contribute to apple/ml-simplefold development by creating an account on GitHub.

It turns out we've all been using MCP wrong. Most agents today use MCP by exposing the "tools" directly to the LLM. We tried something different: Convert the MCP tools into a TypeScript API, and then ask an LLM to write code that calls that API. The results are striking.

Richard Sutton is the father of reinforcement learning, winner of the 2024 Turing Award, and author of The Bitter Lesson. And he thinks LLMs are a dead end. After interviewing him, my steel man of Richard’s position is this: LLMs aren’t capable of learning on-the-job, so no matter how much we scale, we’ll need *some* new architecture to enable continual learning. And once we have it, we won’t need a special training phase — the agent will just learn on-the-fly, like all humans, and indeed, like all animals. This new paradigm will render our current approach with LLMs obsolete. In our interview, I did my best to represent the view that LLMs might function as the foundation on which experiential learning can happen… Some sparks flew. A big thanks to the Alberta Machine Intelligence Institute for inviting me up to Edmonton and for letting me use their studio and equipment. Enjoy! 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 * Transcript: https://www.dwarkesh.com/p/richard-sutton * Apple Podcasts: https://podcasts.apple.com/us/podcast/richard-sutton-father-of-rl-thinks-llms-are-a-dead-end/id1516093381?i=1000728584744 * Spotify: https://open.spotify.com/episode/3zAXRCFrHPShU4MuuIx4V5?si=c9f4bf24fb4c43e3 𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒 * Labelbox makes it possible to train AI agents in hyperrealistic RL environments. With an experienced team of applied researchers and a massive network of subject-matter experts, Labelbox ensures your training reflects important, real-world nuance. Turn your demo projects into working systems at https://labelbox.com/dwarkesh * Gemini Deep Research is designed for thorough exploration of hard topics. For this episode, it helped me trace reinforcement learning from early policy gradients up to current-day methods, combining clear explanations with curated examples. Try it out yourself at https://gemini.google.com/ * Hudson River Trading doesn’t silo their teams. Instead, HRT researchers openly trade ideas and share strategy code in a mono-repo. This means you’re able to learn at incredible speed and your contributions have impact across the entire firm. Find open roles at https://hudsonrivertrading.com/dwarkesh To sponsor a future episode, visit https://dwarkesh.com/advertise 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00:00 – Are LLMs a dead end? 00:13:51 – Do humans do imitation learning? 00:23:57 – The Era of Experience 00:34:25 – Current architectures generalize poorly out of distribution 00:42:17 – Surprises in the AI field 00:47:28 – Will The Bitter Lesson still apply after AGI? 00:54:35 – Succession to AI

Radiology combines digital images, clear benchmarks, and repeatable tasks. But demand for human radiologists is ay an all-time high.

Contribute to humanlayer/advanced-context-engineering-for-coding-agents development by creating an account on GitHub.

Safe, Open, High-Performance — PDF for AI. Contribute to opendataloader-project/opendataloader-pdf development by creating an account on GitHub.

☁️ Convert any site to clean markdown & llms.txt. Boost your site's AI discoverability or generate LLM context for a project you're working with. - harlan-zw/mdream

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) - hiyouga/LLaMA-Factory

Across the world, marriages are being destroyed as spouses use AI like OpenAI's ChatGPT to attack their partners.