This is funny because it's kinda true. It can be addictive to stay "up-do-date" and avoid FOMO. But it's not as important as you think… AI moves so fast that if you tried to follow every release, you’d really need that to be your full-time job. But I also think people
RESEARCH
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Research Analysis: Massive Activations and Attention Sinks in Transformers
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Another by Yann LeCun! “The Spike, the Sparse and the Sink” This paper shows that massive activations and attention sinks come from the same pre-norm Transformer pipeline rather than being separate anomalies. Early SwiGLU blocks act like directional quadratic amplifiers,
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Agentic Data Science: Implementing AI Agents for Data Analysis
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How to Do Agentic Data Science https://
buff.ly/p03xjBG
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Research Labs Affected by OAuth Outage, Intelligence Brownouts Concern
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My autoresearch labs got wiped out in the oauth outage. Have to think through failovers. Intelligence brownouts will be interesting – the planet losing IQ points when frontier AI stutters.
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PostTrainBench v1.0: Evaluating AI Agents for Model Post-Training
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Excited to release PostTrainBench v1.0!
— Karina Nguyen (@karinanguyen) 11 mars 2026
This benchmark evaluates the ability of frontier AI agents to post-train language models in a simplified setting.
We believe this is a first step toward tracking progress in recursive self-improvement 🧵: pic.twitter.com/ELymwJqVP1Excited to release PostTrainBench v1.0! This benchmark evaluates the ability of frontier AI agents to post-train language models in a simplified setting. We believe this is a first step toward tracking progress in recursive self-improvement 🧵:
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WMPO enables robots to learn complex tasks without real-world errors
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What if robots could learn complex manipulation tasks and self-correct, all without costly real-world errors? Researchers from Hong Kong University of Science and Technology and ByteDance Seed present WMPO (World-Model-based Policy Optimization). This new framework lets
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Brockman’s statements on deceiving Musk and OpenAI’s early contributions
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More on the study results and interpretationhttps://t.co/IAeO7zFL5U
— Eric Topol (@EricTopol) 11 mars 2026More on the study results and interpretation
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Multilingual LLM Pattern Coverage: Feasibility and Validation Challenges
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Multilingual can't possible work, do you really plan to identity patterns in every human language understood by an LLM? L How would you tell if you've covered them all, especially given the range of available LLMs?
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Musk-OpenAI Trial: Mission vs. Profit Debate
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In their paper today, the authors assert that LLMs are "homogenizing" human thought and expression https://
cell.com/trends/cogniti
ve-sciences/fulltext/S1364-6613(26)00003-3
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