This is why @xriskology & I call them the TESCREAL bundle. It doesn't matter whether they're effective altruists or not, this is a family squabble in a family we want to stay away from, like a squabble between the Brits or French during the scramble for Africa.
RESEARCH
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Origami Applications in Modern Aerospace Engineering Innovation
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How origami is used in aerospace engineering!
— Amitav Bhattacharjee (@bamitav) 19 mars 2026
pic.twitter.com/Eqmd7xoPpb#origami #Aerospace #engineering @lexfridman @KirkDBorne @Ronald_vanLoon @erikbryn @antgrasso @sallyeaves @Nicochan33 @HaroldSinnott @mvollmer1 @marcusborba @CatherineAdenle @vinod1975 @YuHelenYu…How origami is used in aerospace engineering! #origami #Aerospace #engineering @lexfridman @KirkDBorne @Ronald_vanLoon @erikbryn @antgrasso @sallyeaves @Nicochan33 @HaroldSinnott @mvollmer1 @marcusborba @CatherineAdenle @vinod1975 @YuHelenYu
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AI5 punches above its weight thanks to co-designed AI stack
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AI5 will punch far above its weight, because the entire Tesla AI software stack is designed to make maximally effective use of every circuit. We co-signed our AI software and hardware. Bear in mind that AI5, while it can be used for training in data centers, is primarily
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Inductive inference and guarantees in AI theory
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Inductive inference does evidence => theory, and these days we even have guarantees for it in many cases.
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Mixture-of-Depths Attention: Transformer Architecture Innovation
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"Mixture-of-Depths Attention" This paper teaches a Transformer to attend not just across tokens, but also to depth KV from its earlier layers. That helps recover shallow-layer signals that standard residual stacking tends to dilute, improving performance with only a small extra
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Maximum Likelihood RL Framework for Math Reasoning Models
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The current RL setup might not be the right objective for reasoning models In our latest AI4Science talk, Fahim (
@FahimTajwar10
), PhD student at CMU, presented “Maximum Likelihood Reinforcement Learning”, a new framework for binary-reward tasks like math reasoning, navigation, -
NVIDIA Releases Open Models for Agentic AI and Robotics
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NVIDIA open models provide the foundation to innovate across agentic AI, robotics, autonomous vehicles, and research. 🤖
— NVIDIA (@nvidia) 18 mars 2026
This release contributes 10 trillion language tokens, 500,000 robotics trajectories, and 100 terabytes of vehicle sensor data to the community. These… pic.twitter.com/ALZ7HKHtpTNVIDIA open models provide the foundation to innovate across agentic AI, robotics, autonomous vehicles, and research. This release contributes 10 trillion language tokens, 500,000 robotics trajectories, and 100 terabytes of vehicle sensor data to the community. These
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Attention Head as a Differentiable Multiplexer
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An attention head is a differentiable multiplexer.
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Oscar: The Self-Healing Living Robot
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Meet Oscar: The Living #Robot That Can Heal Itself
— Ronald van Loon (@Ronald_vanLoon) 18 mars 2026
by @pascal_bornet
#Robotics #AI #Biotech #Innovation #FutureOfTechnology pic.twitter.com/RbpAhRT8poMeet Oscar: The Living #Robot That Can Heal Itself
by @pascal_bornet #Robotics #AI #Biotech #Innovation #FutureOfTechnology -
Sam Altman’s Firing: Not About AI Safety, Says Testimony
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Questioning the benefit of an implant to close the left atrial appendage vs medical therapy in a randomized trial @NEJM https://
nejm.org/doi/full/10.10
56/NEJMoa2513310?query=featured_home
…