🛡️ Google unveils Private AI Compute
Google says it can run powerful Gemini models in the cloud while keeping your personal data sealed away from-even Google. The trick: a hardware-secured enclave, remote attestation, and encryption that behaves like a vault you can’t peek into.
It’s meant to boost on-device features without ditching privacy - more capable AI, same control. Honestly, neat… if it works as cleanly as they claim.
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🎓 Google puts $30M into AI-for-learning
At its AI for Learning Forum in London, Google pledged $30M to projects that make AI useful in classrooms—from Estonia’s national “AI Leap” to YouTube’s conversational study helper.
Early study notes are spicy: an RCT with UK teens saw LearnLM help students solve more novel problems, with tiny error rates reported… cautiously optimistic, right?
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🧠 Yann LeCun plans Meta exit for a startup
Deep learning legend Yann LeCun is preparing to leave Meta to start a new venture, per FT via Reuters. Fundraising talks are reportedly underway, and it follows Meta shuffling AI efforts under a new umbrella.
It’s a big chess move-and slightly ironic, given LeCun’s long-standing skepticism about the current LLM path… or so it seems.
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🚨 Public Citizen says pull Sora 2
Watchdog group Public Citizen urged OpenAI to withdraw its Sora 2 video app, warning of deepfake abuse and, bigger picture, threats to democracy.
The letter frames a familiar gripe-release fast, bolt on guardrails later-which, depending on your tolerance for chaos, is either bold iteration or playing with matches in a dry forest.
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📱 Pixel drop leans harder into AI
New Pixel features landed with AI-powered notification summaries and scam-spotting alerts in chat apps. You can also remix photos inside Messages using Google’s image model-a little creative mischief on tap.
It’s everyday utility wrapped in a bit of wizardry, which is exactly the point… even if the name “Nano Banana” makes it sound like a snack.
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🧩 EU privacy watchdog drops AI risk guidance
The EDPS published practical guidance to help EU institutions spot and mitigate technical risks in AI systems. Less hand-wavy principles, more how-to-useful, if a tad dry.
Think of it as a checklist for building with fewer surprises later, like checking your tent poles before a storm.
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📈 AMD talks trillion-dollar data center AI market
AMD told investors it sees data center chip revenue hitting $100B within five years, with earnings more than tripling by 2030. New MI400 AI parts are on the roadmap, plus more software buys to round out the stack.
Ambitious? Absolutely. But the market’s mood swings suggest we’re all still calibrating the hype-to-revenue ratio.
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