a general-purpose model solved a major open problem in mathematics. we'll be saying this a lot over the coming years, but this is a kinda big milestone. i'm very excited for AI to greatly extend our understanding of the world, but still, i have complicated feelings today.
MACHINE LEARNING
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AI Research and its Nobel Prize-Winning Impact on Science
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From AlphaGo to AlphaZero to AlphaFold, his work has shaped not only the trajectory of artificial intelligence, but also our understanding of what AI can do for science. In 2024, he was rightly awarded the Nobel Prize in Chemistry, together with John Jumper and David Baker, for
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Timeline: LLMs progress from simple errors to IMO gold and major theorem solve
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June 2024: The latest general-purpose LLMs could not count the r's in strawberry.
July 2025: The latest general-purpose LLMs get gold in the International Math Olympiad.
May 2026: The latest general-purpose LLM solve one of the "best-known questions in combinatorial geometry" -
Understanding Inference Engines for Local AI Model Deployment
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Inference Engines and why they matter when you're running models locally High-level overview article that, in my honest opinion, should be read by everyone in tech Let me know if you have questions / requests for next one
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Agentic Coding for Robotics Research Project
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Thx @willknight
! Agentic Coding for Robotics: an exciting project w/: @letian_fu
, @uynitsuj
, @k_elrefai
, @ethankou24
, @HaoruXue
, @_wenlixiao
, @RavenHuang4
, @guanzhi_wang
, @drfeifei
, @GuanyaShi
, @jiajunwu_cs
, SSastry, @yukez
, @DrJimFan
, @spenserhuang http://
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Active Graphs: A New Approach to Agent Architecture
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we've been building agents around the llm, starting with conversations, adding tools, giving rules, logging everything, and storing a form of it as retrievable state
— Yohei (@yoheinakajima) 20 mai 2026
Active Graphs flips this. what if we treated the logs as the agent, which include rules provided (and changed),… https://t.co/RLpP6SOynQwe've been building agents around the llm, starting with conversations, adding tools, giving rules, logging everything, and storing a form of it as retrievable state Active Graphs flips this. what if we treated the logs as the agent, which include rules provided (and changed),
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OpenAI model achieves breakthrough in discrete geometry
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An OpenAI model has achieved a major breakthrough in mathematics, by disproving a central conjecture in discrete geometry that was first posed by Paul Erdős in 1946.
— Greg Brockman (@gdb) 20 mai 2026
This is the first time AI has autonomously solved a prominent open problem central to a field of mathematics. https://t.co/DWD2JKSyBcAn OpenAI model has achieved a major breakthrough in mathematics, by disproving a central conjecture in discrete geometry that was first posed by Paul Erdős in 1946. This is the first time AI has autonomously solved a prominent open problem central to a field of mathematics.
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Paper: Memory-as-a-Model for LLMs Enables Continual Learning
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// Memory as a Model // The paper augments any LLM with a separate trained memory model that stores, retrieves, and integrates facts on its behalf. It decouples memory updates from base-model weight updates. It achieves continual-learning robustness without catastrophic
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Study: LLMs Form Human-Like Hierarchical Emotion Structures
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Do LLMs have a human-like emotional hierarchy? Harvard, UCSD, and NTT researchers analyzed how AI models organize emotions. They found LLMs naturally form hierarchical emotion trees that match psychological models—larger models create more complex structures. But they also
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AI Wardrobe App Picks Outfit by Weather and Schedule
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#AI Wardrobe App Picks Your Outfit Based on Weather and Schedule
— Ronald van Loon (@Ronald_vanLoon) 20 mai 2026
by @jayhxmo
#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/I0jpWCPqrU#AI Wardrobe App Picks Your Outfit Based on Weather and Schedule
by @jayhxmo #ArtificialIntelligence #MachineLearning #ML