Tesla self-driving handles Dutch roundabouts well
BIG TECH
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OpenAI and Anthropic Overvalued by One or Two Orders of Magnitude
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OpenAI and Anthropic are only overvalued by an order of magnitude or two.
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US-Taiwan Trade Deal Strengthens Chip Export Market Access
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Taiwan just signed a big trade deal with the US. It’ll keep reducing China’s influence on Taiwan. Taiwan gets stable, lower tariffs for its chips, tech, and other exports to America. In return, Taiwan opens its market more to US products. https://
digitimes.com/news/a20260213
VL213/taiwan-2026-market.html
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CCP Economic Coercion Through China Market Access Control
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Oh look, the good old CCP economic incentive playbook where they use selective China market access as a carrot for future coercion.
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Chinese BrainCo Unveils Next-Generation Dexterous Robotic Hand
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Chinese BrainCo has released its next-gen dexterous robotic hand that is as agile as real hands!
— Amitav Bhattacharjee (@bamitav) 12 avril 2026
pic.twitter.com/AfWLduClPu#robothand #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI@SpirosMargaris @PawlowskiMario…Chinese BrainCo has released its next-gen dexterous robotic hand that is as agile as real hands! #robothand #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @SpirosMargaris @PawlowskiMario
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Data Center Value Chain and Investment Returns in AI
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Very good explanation. As investors we also need to understand that once the data center is built, who will make the most profits? Profits = eventually decide investment returns. This brings us to the concept of value chain. One who controls the scarcest resources on the
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Anthropic Refuses to Release Its Too Powerful Mythos AI Model
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Anthropic has created an AI model so powerful that it refuses to release it. Mythos discovered thousands of critical zero-day vulnerabilities in the world's most used software within days. Amazon, Apple, Microsoft, Google are already testing it. An Anthropic engineer: "I found more bugs in two weeks than in the rest of my entire life." [Translated from EN to English]
→ View original post on X — @alex_tsico, 2026-04-12 11:39 UTC
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Starlink’s role in poverty reduction through internet connectivity
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Starlink has done more than any NGO to lift people out of poverty by connecting them with a means of education and a market for their good & services via the Internet
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Claude Mythos Linked to ByteDance’s Looped LLM Research
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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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Hassabis vs LeCun: Major AI Researchers Clash on LLM Future
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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/qmrLXNEqXUThe 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