Anthropic has the strongest reality distortion field of any AI company. Only fools would take its claims at face value.
RESEARCH
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AI Engineer Conference Live Stream with Industry Leaders and OpenClaw Track
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We are now live! https://t.co/AY6wiIFxGI
— AI Engineer (@aiDotEngineer) 9 avril 2026We are now live! AI Engineer (@aiDotEngineer) ๐ฅ๐ด LIVESTREAM ANNOUNCEMENT: Keynotes + @openclaw / Personal Agents track ๐ Hit the bell on our YT channel ๐ piped.video/watch?v=O_IMsEg9โฆ Starts promptly April 9, 9:00am UK / 4:00am ET Featuring talks from: @cramforce – CTO at Vercel @RaiaHadsell – VP of Research at Google Deepmind @_lopopolo – Member of Technical Staff at OpenAI @thekitze – Founder at Sizzy @swyx – co-founder at AI Engineer, Editor at Latent Space @GergelyOrosz – Author at The Pragmatic Engineer @mattpocockuk – Creator, AI Hero @threepointone – Founder, PartyKit, Principal Systems Engineer at Cloudflare @steipete – Creator, OpenClaw @vincent_koc – Lead AI Research Engineer at Comet, Maintainer at OpenClaw @velvet_shark – Founder at VelvetShark @somalley108 – Principal Software Engineer at RedHat, Maintainer at OpenClaw @nickytonline – Developer Advocate at Pomerium @thorwebdev – Dev Relations Engineer at Google Deepmind @fawiatrowski – Founder & CEO at Viktor @onusoz – OpenClaw maintainer + the one and only @philhawksworth — devrel @deno_land — as our MC for the day! โ https://nitter.net/aiDotEngineer/status/2041445170642571562#m
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Documented Leaks and Mythos Timing Coincidence Analysis
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The leaks were independently documented. The Mythos timing was just catastrophically bad luck.
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OpenAI AI Model Solves Five Erdลs Mathematical Problems
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Holy: OpenAI researchers report solving five (!) additional Erdลs problems using an internal model, showcasing AIโs growing strength in deep mathematical reasoning.
— Chubbyโจ๏ธ (@kimmonismus) 9 avril 2026
Excitement for spud increases day by day. https://t.co/xss1rxAm6ZHoly: OpenAI researchers report solving five (!) additional Erdลs problems using an internal model, showcasing AIโs growing strength in deep mathematical reasoning. Excitement for spud increases day by day. Mehtaab Sawhney (@mehtaab_sawhney) Weโve just released another paper solving five further Erdลs 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 Erdลs 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. โ 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
— ๆบๅจไนๅฟ 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/2604.0โฆ 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?
— ๆบๅจไนๅฟ 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 diverseโฆ 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
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Free ML AI Resources Available for Subscribers Monthly
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I continue adding more ๐ ๐๐๐ resources for my @X Subscribers to access: ๐ผ๐๐ฒ๐ฟ ๐ฐ๐ด๐ฌ๐ฌ ๐ฟ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐ฎ๐ฟ๐ฒ ๐ป๐ผ๐ ๐ฎ๐๐ฎ๐ถ๐น๐ฎ๐ฏ๐น๐ฒ. Subscribe for only US$6/month #MachineLearning #ML #AI #DataScience #Python #Mathematics #Statistics #SQL #GenAI #AgenticAI