The leaks were independently documented. The Mythos timing was just catastrophically bad luck.
RESEARCH
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OpenAI AI Model Solves Five Erdős Mathematical Problems
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Holy: OpenAI researchers report solving five (!) additional Erdős problems using an internal model, showcasing AI’s growing strength in deep mathematical reasoning.
— Chubby♨️ (@kimmonismus) 9 avril 2026
Excitement for spud increases day by day. https://t.co/xss1rxAm6ZHoly: OpenAI researchers report solving five (!) additional Erdős problems using an internal model, showcasing AI’s growing strength in deep mathematical reasoning. Excitement for spud increases day by day. Mehtaab Sawhney (@mehtaab_sawhney) We’ve just released another paper solving five further Erdős problems with an internal model at OpenAI: arxiv.org/abs/2604.06609. Several of the proofs were especially enjoyable to digest while writing the paper. My personal favorite was the solution to Erdős Problem 1091. The question asks: if a graph G has chromatic number 4, while every small subgraph has chromatic number at most 3, must it contain an odd cycle with many diagonals? The internal model gives a very enlightening counterexample to this conjecture, and the proof was a pleasure to understand. For those so inclined, a really fun exercise is to try to reconstruct the proof from Figure 5 of the paper, which was of course produced by Codex. — https://nitter.net/mehtaab_sawhney/status/2042072817395757467#m
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Artificial Intelligence Engineering Roadmap by Dhanian
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#ArtificialIntelligence Engineering Roadmap
— Ronald van Loon (@Ronald_vanLoon) 9 avril 2026
by @e_opore
#AI #MachineLearning #MI #ML pic.twitter.com/HrUrtSJEfL#ArtificialIntelligence Engineering Roadmap by @e_opore #AI #MachineLearning #MI #ML
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RAGEN-2: Reasoning Collapse in Agentic Reinforcement Learning
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RAGEN-2: Reasoning Collapse in Agentic RL
— 机器之心 JIQIZHIXIN (@jiqizhixin) 9 avril 2026
Paper: https://t.co/w4mCiZzCOp
Project: https://t.co/LFS5PpioMF
Code: https://t.co/f5bO13kGrn pic.twitter.com/dMzR3eZMwcRAGEN-2: Reasoning Collapse in Agentic RL Paper: huggingface.co/papers/2604.0… Project: ragen-ai.github.io/v2/ Code: github.com/mll-lab-nu/RAGEN
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RAGEN-2 Framework Tackles Template Collapse in LLM Agents
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Are your LLM agents truly reasoning, or just stuck repeating the same patterns?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 9 avril 2026
Zihan Wang @wzenus and a stellar team from Northwestern, Stanford, Microsoft, Oxford, and Imperial College London have uncovered "template collapse", a hidden flaw where LLM agents appear diverse… pic.twitter.com/0XRXFuc7rxAre your LLM agents truly reasoning, or just stuck repeating the same patterns? Zihan Wang @wzenus and a stellar team from Northwestern, Stanford, Microsoft, Oxford, and Imperial College London have uncovered "template collapse", a hidden flaw where LLM agents appear diverse but fail to adapt to new inputs. Their RAGEN-2 framework introduces Mutual Information to accurately measure true "cross-input distinguishability" and proposes SNR-Aware Filtering to select high-signal training prompts. This new metric and method vastly outperform current approaches, boosting LLM agent performance and input dependence across critical tasks like planning, math reasoning, web navigation, and code execution! And this paper is also #1 Paper of the day on Hugging Face!
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OpenAI’s Internal Model Solves Five More Erdos Problems
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Other 5 Erdos problems more solved using an internal model of OpenAI. It adds up and keeps going.
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Nous Research CTO Space Recording Discussion
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Yes! You should listen to the recording of the space we did earlier with @NousResearch
’s CTO. -
Free ML AI Resources Available for Subscribers Monthly
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I continue adding more 𝐅𝐑𝐄𝐄 resources for my @X Subscribers to access: 𝗼𝘃𝗲𝗿 𝟰𝟴𝟬𝟬 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲. Subscribe for only US$6/month #MachineLearning #ML #AI #DataScience #Python #Mathematics #Statistics #SQL #GenAI #AgenticAI
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Anthropic Authority Over Evidence Analysis Criticism
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Your response to her incredible well formed and well informed analysis is basically “you’re wrong because Anthropic said so and they know better,” while calling HER naive
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Solved AI But Keeping Secret to Save Humanity
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I’ve solved AI, but I’m keeping it secret to save humanity.