dan

Our Black Hat talk on the OpenAI-Hugging Face incident is now live on youtube. This is a watershed moment for the industry. I encourage all defenders to watch, consider how attack dynamics will imminently change, and plan for accelerating defense. https://t.co/5B6k7YfpcP

Black Hat USA 2026: The 'Breaking' News: The OpenAI–Hugging Face Incident youtube.com

fantastic tool for generating Lean proof maps ("blueprints") directly from the Lean code github.com/hanwenzhu/Le... highly recommend for helping LLM make sense of the broader structure of the proof and finding simplifications

GitHub - hanwenzhu/LeanArchitect: LeanArchitect extracts a blueprint directly from Lean source. github.com

Tau Ceti model is wild. people write proposals and criteria for how to review stuff, everything else is handled by AI workers taucetiproject.github.io/TauCeti/

Tau Ceti — Tau Ceti taucetiproject.github.io

just got a tentative confirmation from a mathematician that i was able to get a genuinely novel and interesting mathematical result in a niche area (generalized power series and omnific integers Oz). the actual proof is 100% AI but it took me shepherding it for a month (it did not one-shot at all)

if you write an insightful blog post on a specific enough topic, and people link to it, you have a real chance at influencing everyone's llm output in a year or so. it's a bit wild

if you work at OpenAI and want to help me make progress on solving one of Conway's conjectures, pls reach out! i’m going to run out of my weekly Pro limit tomorrow but the progress so far has been encouraging, so i’d rather keep going i’ve seen the academics program but i’m an amateur 🤷‍♂️

i think the main thing i learned with my llm math detour (and now see with speculative llm projects in general) is that telling llm to burn it all down and start from scratch when you learn an important lesson (or ask it what it wants to salvage) brings as much, if not more, value than construction