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    Gates says global AI rules are harder to agree on than nuclear limits▼Gates says global AI rules are harder to agree on than nuclear limits — Anadolu Agency✉newsWarNuclear1 d ago

    Bill Gates said reaching international agreement on artificial intelligence regulation will be harder than negotiating nuclear arms limits. He suggested AI is developing faster and is more diffuse than nuclear technology, making a shared global framework difficult. His remarks are drawing attention in debates over how governments should govern AI.

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    Bill Gates Says AI Cooperation Is Harder Than Nuclear Talks▼Bill Gates: AI Cooperation Harder Than Nuclear Talks✉newsWarNuclear16 h ago

    Bill Gates says reaching international cooperation on artificial intelligence is proving harder than nuclear arms negotiations once were. He argues AI is developing faster and more diffusely than nuclear technology, making agreement among governments and companies more difficult. The comments add to ongoing debate about how the world should govern advanced AI.

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    Legal AI startup Harvey valued at $15.5 billion after new round●Harvey підняла оцінку з 8 до 15,5 мільярда доларів за девʼять місяців. Legal AI стартап Harvey закрив раунд на 550 мільйMmastodonBusinessStartups1258 min ago

    Harvey, a legal AI startup, raised $550 million in a funding round co-led by Diffusion and Lightspeed Venture Partners, lifting its valuation to $15.5 billion. The new figure nearly doubles the $8 billion valuation the company held as recently as December 2025, achieved in just nine months. The rapid jump underscores the intense investor appetite for artificial intelligence companies applied to professional services like law.

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    Microcontrollers Now Run a Diffusion Model and 289M LLM▼✉newsTechnologySoftware14 h ago

    A new report highlights that microcontrollers, typically limited to simple embedded tasks, can now run both a diffusion model for image generation and a large language model with 289 million parameters. The development points to AI capabilities moving onto low-cost, low-power hardware rather than requiring cloud servers or GPUs, a notable shift for embedded and edge computing.

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