🤝 NVIDIA & Intel’s Big AI CPU/GPU Partnership
NVIDIA just dropped a $5 billion bet on Intel - not to fight, but to team up. The deal? Intel handles custom x86 CPU design for NVIDIA’s AI server fleets and they’re experimenting with joint CPU-GPU SoCs for personal machines. Honestly, wild turn for two companies that used to feel like oil and water.
What it means: CPUs and GPUs won’t just sit side-by-side anymore, they’ll start to blur into a single workflow. That could mean leaner, faster AI hardware. Reminder: despite all the hype around models, silicon still calls the shots.
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⚡ U.S. “Speed to Power” Push for AI Data Centers
The Department of Energy kicked off the Speed to Power Initiative - basically a massive push to scale power plants and transmission capacity. We’re talking gigawatts, plural. Why? AI data centers are drinking electricity like it’s bottomless coffee.
They’re asking industry players to weigh in on the roadblocks: aging plants, messy siting processes, and bottlenecked transmission lines. It feels less like expansion and more like a sprint - can the grid keep pace with AI’s hunger?
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📚 New Book: “If Anyone Builds It, Everyone Dies”
Eliezer Yudkowsky and Nate Soares just released a book with maybe the most doomsday title of the year - and the inside isn’t any softer. Their claim: build a misaligned super-AI, and humanity is toast. No caveats.
They throw around timelines of just 2–3 years before such systems appear. Depending on your mood, it reads as either terrifyingly realistic or borderline alarmist. Either way, it has injected fresh fuel into the AI safety conversation.
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🌍 UN’s New AI Governance Framework
The UN approved Resolution A/79/325, setting up an Independent International Scientific Panel on AI and launching a Global Dialogue track. It’s their attempt at nudging the world toward shared AI rules.
Critics aren’t impressed, though. They call it symbolic, even toothless - more like setting the plates than serving a meal. Still, it’s a platform, and norms sometimes grow from that kind of scaffolding.
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🎓 SUNY’s “AI for the Public Good” Fellows
SUNY announced its very first AI for the Public Good Fellows - twenty faculty and staff who’ll be weaving AI literacy, ethics, and critical thinking into the general curriculum.
The plan is that by Fall 2026, every SUNY student - not just computer science majors - will have at least some structured exposure to AI’s risks and potential uses. Feels like a slow but deliberate cultural shift: less “train coders” and more “educate society.”
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