AI doesn’t understand your question. It predicts which words are statistically likely to follow it. That’s not intelligence. That’s autocomplete with a PhD-sized training set.
RESEARCH
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Testing concurrency, nvfp4, and TP performance across BF16, FP8, nvfp4
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still need to test it in concurrency + try it in nvfp4 hopefully will be able to compare perplexity in bf16 / fp8 / nvfp4 as well as tp performance jumps from 2 -> 4 -> 8 nodes across all 3
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MIT Cheetah Quadruped Robot Redefining High-Performance Legged Locomotion
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MIT Cheetah: The Agile Quadruped #Robot Redefining High-Performance Legged Locomotion
— Ronald van Loon (@Ronald_vanLoon) 12 avril 2026
by @IntEngineering
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/9A8MwVNpc2MIT Cheetah: The Agile Quadruped #Robot Redefining High-Performance Legged Locomotion
by @IntEngineering #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Past Light Cone Does Not Determine Future One
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Hey Albert, your past light cone does not determine your future one, so God plays dice with the universe even without quantum mechanics.
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AI and Psychosis: Understanding Risks and Solutions
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AI and psychosis: What to know, what to do
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @fabiomoioli @pascal_bornet @alliekmiller @mattshumer_ @OfficialLoganK @jeremyphoward @GaryMarcus -

Muse Spark Excels at Data Analysis and Open Source Research
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i find muse spark is very good at data analysis—both finding relevant open-source data and analyzing it. for example, here's my results for analyzing global share of GDP over past century: https://
meta.ai/share/cw54skLB
Sqy
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SkillClaw: Collective Skill Learning Through Agentic Evolution
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"SkillClaw: Let Skills Evolve Collectively with Agentic Evolver" As most AI agents still relearn the same targets from scratch, SkillClaw turns it into shared learning, where it collects agent trajectories across users, groups them by skill, and uses an agentic evolver to spot
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Summarized thinking traces useful despite trade secret internal reasoning
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(thinking traces are always summaries of the internal reasoning, since the actual internal chain of thought is a trade secret, but that doesn't mean they aren't useful when summarized, especially when those summaries contain the tools used by the model and web searches it made)
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Tesla Self-Driving Navigates Dutch Roundabouts Successfully
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Tesla self-driving handles Dutch roundabouts well