It's kind of weird that Meta didn't announce this. Seems like it could be a big deal, maybe one that pressures other AI companies to follow suit. wired.com/story/signals-crea…
→ View original post on X — @willknight, 2026-03-19 16:56 UTC
@willknight
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RAI Institute’s UMV Vehicle Achieves Advanced Movement Control with AI
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Absolutely incredible work. This is a lot more impressive than dancing humanoids (and it's from the folks that pioneered the dancing humanoid). RAI Institute (@rai_inst) It was great to see our name amongst the other “AI Native” companies during @Nvidia’s #GTC keynote. NVIDIA Isaac™ Lab helps us train reinforcement learning policies that enable the UMV to drive, jump, flip, and hop like a pro! — https://nitter.net/rai_inst/status/2034646341763133873#m
→ View original post on X — @willknight, 2026-03-19 16:46 UTC
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Frankenstein’s Lesson: AI Needs a Girlfriend to Stay Happy
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I recently read Mary Shelly's Frankenstein, which often comes to mind in discussions about existential AI risks. The moral of the story, as far as i can tell, is that I’ll need to build my @openclaw a girlfriend or it will get sad and try to destroy me.
→ View original post on X — @willknight, 2026-03-16 17:02 UTC
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Data Centers and the Religious Fervor Around Super-Intelligence
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Given the quasi-religious way people think about super-intelligence, I keep wondering if today's incredible data-center build out might be comparable to the construction of cargo cults.
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Humanoid Robot Sprinting: Can It Reliably Recover From Falls?
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The lab mentioned developed a humanoid for sprinting, with very explosive leg movements. https://
newshub.sustech.edu.cn/en/html/202508
/46874.html
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What's unclear from the video is if this is a fluke or can reliably help the robot get up after falling. -
Boston Dynamics’ Atlas Robot Demonstrates Generalized Learning Capabilities
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This week's newsletter: Boston Dynamics’ dancing humanoid, Atlas, can now use a single model for walking and grasping, and exhibits some 'emergent' skills—a significant step toward more general robot learning. https://t.co/G7Qn2GAMBV
— Will Knight (@willknight) 5 septembre 2025
Subscribe here: https://t.co/NUffPrZt92 pic.twitter.com/kzDK35UuoTThis week's newsletter: Boston Dynamics’ dancing humanoid, Atlas, can now use a single model for walking and grasping, and exhibits some 'emergent' skills—a significant step toward more general robot learning. https://
wired.com/story/this-hum
anoid-robot-is-showing-signs-of-generalized-learning/
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Subscribe here: https://
wired.com/newsletter -
Human Learning vs AI Rule-Writing: An Inverse Problem
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This is such an interesting prompt-question. It's kind of the inverse of the way humans can learn to do all sorts of physical things but wouldn't be able to write down the "rules" for how to do them.
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Why LLMs Struggle to Follow Chess Rules Consistently
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@hyhieu226 Why can't an LLM write down the rules of chess and then follow them? A limited kind of world model.