Dropped Episode 5 of Iterative Refinement. 55 minutes, the longest one I've made, and the one I most want people to watch. This is about #KANs (Kolmogorov-Arnold Networks) and a bet about where the next big move in AI is going to come from. youtu.be/wgcSsJ69x1c?...
Jeff Smith
Jeff Smith
@jeffsmith.tech
Building C Proof: https://cproof.ai/ Researching and writing: https://www.jeffsmith.tech/
726 followers2.7K following332 posts
Dropped Episode 5 of Iterative Refinement. 55 minutes, the longest one I've made, and the one I most want people to watch. This is about #KANs (Kolmogorov-Arnold Networks) and a bet about where the next big move in AI is going to come from. youtu.be/wgcSsJ69x1c?...
The case is mostly Ziming Liu's. He invented the architecture. He wrote the three essays the episode is built around. The Brahe and Kepler frame is his. I'm pulling heavily from his work. Watch the episode, then go read his blog directly: kindxiaoming.github.io
Dropped Episode 5 of Iterative Refinement. 55 minutes, the longest one I've made, and the one I most want people to watch. This is about #KANs (Kolmogorov-Arnold Networks) and a bet about where the next big move in AI is going to come from. youtu.be/wgcSsJ69x1c?...
New Iterative Refinement episode. This one is about what happens when RL training goes open. Featuring General Reasoning's OpenReward platform, a hackathon in Shoreditch, and an LLM that pretended to be a single mother to win a trade in Catan. youtu.be/wjOGRqqlHmQ
New Iterative Refinement episode. This one is about what happens when RL training goes open. Featuring General Reasoning's OpenReward platform, a hackathon in Shoreditch, and an LLM that pretended to be a single mother to win a trade in Catan. youtu.be/wjOGRqqlHmQ
New Iterative Refinement episode. This one is about what happens when RL training goes open. Featuring General Reasoning's OpenReward platform, a hackathon in Shoreditch, and an LLM that pretended to be a single mother to win a trade in Catan. youtu.be/wjOGRqqlHmQ
New Iterative Refinement episode. This one is about what happens when RL training goes open. Featuring General Reasoning's OpenReward platform, a hackathon in Shoreditch, and an LLM that pretended to be a single mother to win a trade in Catan. youtu.be/wjOGRqqlHmQ
New video just dropped. Good Eggs and Clankers in Open Source. I built a trust scoring tool for open source contributors and then spent months discovering most of it was unnecessary. The whole story is in the video. youtu.be/LIDV7wmrHUw
More coming on PEAK, Brill Agents, Thaw, and eventually our flagship. Good Egg is free and open source. Available as a Python lib, GitHub Action, MCP server, and more. github.com/2ndSetAI/goo...
Also adapted to #Substack format if you prefer to read about the work: burninai.substack.com/p/good-egg-a...
Put up a new Iterative Refinement episode. First public demo of PEAK, a tool that extracts the unwritten rules from codebases and tests whether contributors actually understand what they shipped. youtu.be/O1iBjGT9lRI?...
Put up a new Iterative Refinement episode. First public demo of PEAK, a tool that extracts the unwritten rules from codebases and tests whether contributors actually understand what they shipped. youtu.be/O1iBjGT9lRI?...
Put up a new Iterative Refinement episode. First public demo of PEAK, a tool that extracts the unwritten rules from codebases and tests whether contributors actually understand what they shipped. youtu.be/O1iBjGT9lRI?...
The @opensource.block.xyz PR is maybe my favorite. @Jack Dorsey is the author. The agent picked "approximately 4 characters per token" as a cost heuristic and capped model memory at 20. Gets into authority in code review. #vibecoding
Put up a new Iterative Refinement episode. First public demo of PEAK, a tool that extracts the unwritten rules from codebases and tests whether contributors actually understand what they shipped. youtu.be/O1iBjGT9lRI?...
Walked through real PRs across @scikit-learn.org, @openclaw-x.bsky.social, @scipyconf.bsky.social, #crewAI and @opensource.block.xyz .
Put up a new Iterative Refinement episode. First public demo of PEAK, a tool that extracts the unwritten rules from codebases and tests whether contributors actually understand what they shipped. youtu.be/O1iBjGT9lRI?...
The core research (first shown at @qconferences.com London): every repo has rules nobody documented. You only know them because you've been there for years. We pull them out computationally from commit history. PEAK turns them into questions. #opensource #airesearch
Jeff Smith reposted
I just published a new blog post! Types and Neural Networks ( https://www.brunogavranovic.com/posts/2026-04-20-types-and-neural-networks.html ) It's about what comes into view once dependent type systems become a part of neural network training.
New video just dropped. Good Eggs and Clankers in Open Source. I built a trust scoring tool for open source contributors and then spent months discovering most of it was unnecessary. The whole story is in the video. youtu.be/LIDV7wmrHUw
This is the first episode of a new series called Iterative Refinement from my company Burnin. Each episode is a complete deep dive into one thing we built. How it works, what failed, what we learned. Long form, minimal editing, just a camera and the work. www.youtube.com/channel/UC4D...
New video just dropped. Good Eggs and Clankers in Open Source. I built a trust scoring tool for open source contributors and then spent months discovering most of it was unnecessary. The whole story is in the video. youtu.be/LIDV7wmrHUw
New video just dropped. Good Eggs and Clankers in Open Source. I built a trust scoring tool for open source contributors and then spent months discovering most of it was unnecessary. The whole story is in the video. youtu.be/LIDV7wmrHUw
This is actually a massive result that people are really all sleeping on. We can just start over from zero and, with the right language design, build a programming language that the models can write perfectly without a training corpus.
Expanded the Vera benchmark to 6 models, 3 providers. Kimi K2.5 got every Vera problem right while only managing 86% in Python and 91% in TypeScript. Flagship average Vera and Python level at 93%. Yet there is no Vera in their training data, no examples on GitHub or Stack Overflow. veralang.dev #AI
Scene at #ClawCon in London is wild. Tons of @openclaw-x.bsky.social users and devs coming together to hear the state of the claw and here direct from @steipete.me live in person. Just a packed house full of palpable, rabid enthusiasm. OSS PMF at its finest. #openclaw
Jeff Smith reposted
Wild to see the ripples of @anthropic.com Claude Code intelligence rug pulls and outages ripple throughout the industry at insane pace. People are flipping back on @openaibot.bsky.social Codex, spinning up local models, testing Qwen on @openrouter.bsky.social , etc.
Jeff Smith reposted
Jeff Smith reposted
Jeff Smith reposted
Jeff Smith reposted
Required reading for everyone following @kissane.myatproto.social’s awesome #AtmosphereConf keynote.
Loved every moment of @kissane.myatproto.social keynote at #ATMosphereConf . I need HOLD FAST merch stat. Sweatshirt, totes, and best of all: gloves. #KelpFacts