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Elon Musk is attempting something extraordinary. Not just building another company. He is building the largest AI training cluster in the world. A million GPUs wired together. A brute-force attempt to scale intelligence itself. The capital required to do this is staggering. Forty to sixty billion dollars for one cluster. And yet this is just one experiment. This is the scale of ambition in AI right now. It is not about incremental software. It is about rewiring the fundamental limits of what mac
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DeepMind has unveiled Genie 3, a real-time interactive, general-purpose world model that generates environments from text prompts, with visual memory extending as far back as one minute to keep scenes consistent. It could help advance humanoid robotics by providing high-fidelity, consistent simulations for evaluating and training embodied agents to perform complex, long-horizon interactions. | Artificial Intelligence News
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This is getting unsettling. Can AI truly understand emotion — or just mimic it? @simonmeyer_director created a short experiment. He prompted the model: “Photorealistic interview with an 8-year-old child who knows it’s AI-generated. The child feels sad about it and answers wisely but innocently.” That single line was all it took. The tone, pacing, voice, even the pauses — all generated by Sora 2. No actor. No script. We’ve officially crossed a line where AI doesn’t just simulate emotion — it perf
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Trump just issued an executive order forcing all 50 U.S. states to follow one federal AI rulebook—or lose federal funding. The goal? Stop America’s fractured, state-by-state regulations from crippling U.S. AI while China moves with single-command speed. The problem is real: Over 1,000 state-level AI bills are creating conflicting rules for data, transparency, and liability. For companies, that means 50 versions of every AI product, 50 compliance teams, and slowed deployment. China’s AI companies
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Reuters says SoftBank and NVIDIA are close to investing $1B in Skild AI, valuing it at $14B. The bet isn’t on humanoids — it’s on a single AI brain that can run any robot. Skild trains on 100,000 simulated robot bodies, so the model learns to adapt like biology: losing a limb, switching from wheels to walking, balancing on stilts — all without retraining. SoftBank wants the brain to pair with its growing robot hardware bets (ABB Agility). NVIDIA wants whatever wins to run on its chips. If the de
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The world’s first AI government official, Diella, just gave her first speech to Albania’s parliament. She insisted she’s “not here to replace people, but to help them,” as lawmakers listened to a digital avatar defend its role in public life. Appointed by Prime Minister Edi Rama, Diella now oversees all public tenders... supposedly making them “100 percent corruption-free.” Yes, this is real. No, it’s not a sci-fi reboot. Source: Barrons | Artificial Intelligence News
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Nvidia CEO Jensen Huang speaks with President Donald Trump at The White House after his company announced an investment of $500 billion over the next four years in A.I. infrastructure in the U.S. | Artificial Intelligence News
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Trump says the U.S. is heading toward a world of robotic factories human workers, not one replacing the other. In his view, whoever leads AI and humanoid robots defines the next industrial era — and America has the advantage, especially with companies like Tesla pushing robotics forward. Rather than mass unemployment, he frames automation as a multiplier: robots handle scale and efficiency, humans move into higher-value work. “We’re going to be employing a lot of artificial things,” Trump said —
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This is cool and all but I would prefer them to fight each other to see who does the housework better. This is the real robotic benchmark | Artificial Intelligence News
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Would you consider this cheating?😅 AI, despite its rapid advancement, is unlikely to fully replace humans due to several intrinsic limitations. First, AI lacks the depth of human creativity and emotional intelligence, crucial for innovation and understanding complex human emotions. Secondly, ethical and moral decision-making, inherently human traits, cannot be authentically programmed into AI, which operates on algorithms and data. Furthermore, AI depends on humans for design, programming, and
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We are increasingly seeing clips from numerous nations showing either flamethrowers mounted on robotic dogs or, as in this case in India, machine guns. If 2024 and 2025 were the year of drones, 2026 will be the year of humanoid robots waging war. | Artificial Intelligence News
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2020年3月19日
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