And some say all humans are way smarter than the most capable AI pic.twitter.com/2T21G3VtdR
— AI (@DeepLearn007) 12 avril 2026
And some say all humans are way smarter than the most capable AI

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And some say all humans are way smarter than the most capable AI pic.twitter.com/2T21G3VtdR
— AI (@DeepLearn007) 12 avril 2026
And some say all humans are way smarter than the most capable AI

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Reinforcement-Learned Atlas Performs Moves Inspired by Human Mocap and Animation
— Ronald van Loon (@Ronald_vanLoon) 12 avril 2026
via @ZappyZappy7
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/4zXXce8uXw
Reinforcement-Learned Atlas Performs Moves Inspired by Human Mocap and Animation via @ZappyZappy7 #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology
→ View original post on X — @ronald_vanloon, 2026-04-12 10:18 UTC

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This might be the most important observation about Claude Mythos that nobody is picking up on. Chris is connecting Mythos to ByteDance’s “Scaling Latent Reasoning via Looped Language Models” paper. The core idea: instead of thinking out loud with chain-of-thought text, a looped

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Meet Oscar: The Living #Robot That Can Heal Itself
— Ronald van Loon (@Ronald_vanLoon) 12 avril 2026
by @pascal_bornet
#Robotics #AI #Biotech #Innovation #FutureOfTechnology pic.twitter.com/BLrPrV8X6P
Meet Oscar: The Living #Robot That Can Heal Itself by @pascal_bornet #Robotics #AI #Biotech #Innovation #FutureOfTechnology
→ View original post on X — @ronald_vanloon, 2026-04-12 09:19 UTC
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讲真,我们没有想到 Memory Sparse Attention 的 GitHub Repo 会这么快到 3000 星。更没有想到大家的关注度这么高。也许真的印证了那句话吧,「能带走的才是记忆,带不走的则是过去」。
— 艾略特 (@elliotchen100) 12 avril 2026
起初,MSA 只是一篇论文。一个支持 1 亿 Token 上下文的端到端方案,大胆,也优雅。
核心就两个点:一个是 Dual… pic.twitter.com/DUBidTcl8r
To be honest, we didn't expect the GitHub Repo for Memory Sparse Attention to hit 3000 stars so quickly. Even less did we expect such high attention from everyone. Maybe it really proves that saying: "What you can take with you is memory; what you can't take is the past." At the

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The CEO of Google DeepMind just went on record saying he disagrees with one of the most respected AI researchers in the world.
— Milk Road AI (@MilkRoadAI) 12 avril 2026
Demis Hassabis, the man behind AlphaFold, AlphaGo, and Google's entire AI operation publicly pushed back against Yann LeCun's claim that large language… pic.twitter.com/qmrLXNEqXU
The CEO of Google DeepMind just went on record saying he disagrees with one of the most respected AI researchers in the world. Demis Hassabis, the man behind AlphaFold, AlphaGo, and Google's entire AI operation publicly pushed back against Yann LeCun's claim that large language models are a dead end for artificial intelligence. LeCun, who left Meta earlier this year to start his own AI lab, has been saying for years that LLMs cannot reason, cannot plan, and will never get us to human-level intelligence. Hassabis disagrees, and he said so directly. His position is that scaling laws are still working, foundation models are still getting more capable, and whatever AGI ends up looking like, LLMs will be a central part of it, not something that gets replaced. He does say there is roughly a 50/50 chance that one or two additional breakthroughs will be needed beyond scaling alone, things like better memory, long-term planning, and world models. But the core disagreement with LeCun is clear, Hassabis believes the current architecture is sound and the current path leads somewhere real. Two Nobel-recognized researchers, two founding figures of modern AI, now publicly on opposite sides of the most important technical question in the industry.
→ View original post on X — @ceobillionaire, 2026-04-12 09:02 UTC
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But that’s not the FULL story. Because while everyone’s debating whether one researcher “jailbroken” SynthID, something much bigger happened quietly in the background. A team at the University of Waterloo built a tool called UnMarker. Published at IEEE Security and Privacy.

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Where to look for #GenerativeAI risks by Beth Stackpole @MITSloan Learn more: bit.ly/4uybBsA #LLM #GenAI #ArtificialIntelligence #MachineLearning
→ View original post on X — @ronald_vanloon, 2026-04-12 07:48 UTC
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Un robot humanoïde vient de courir à 36 km/h.
— VISION IA (@vision_ia) 12 avril 2026
Unitree H1 atteint 10 m/s. C'est l'équivalent d'un 100 mètres en 10 secondes. Le niveau d'un champion du monde humain.
Et le plus fou : ce robot a le physique d'une personne normale. 62 kg. Jambes de 80 cm. Pas un monstre mécanique… https://t.co/p7XsdOYgUP
A humanoid robot just ran at 36 km/h. Unitree H1 reaches 10 m/s. That's the equivalent of a 100-meter dash in 10 seconds. The level of a human world champion. And the craziest part: this robot has the physique of a normal person. 62 kg. Legs 80 cm long. Not a 2-meter mechanical
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"Beyond what humans or computers can do alone" is exactly the right framing. Not replacement, collaboration.