Ilya Sutskever calls for new learning paradigm to fix AI 'jaggedness
Ilya Sutskever has been sounding the alarm for a while now, and it’s not just about the usual hype around ever-bigger models.
Real-world AI implementations and enterprise deployments transforming healthcare, finance, retail, and other industries.
Ilya Sutskever has been sounding the alarm for a while now, and it’s not just about the usual hype around ever-bigger models.
It feels like the AI hardware market is quietly shifting. The big headlines still shout about ever-bigger training clusters, but more engineers seem to be asking a different question: how do we give users fast, reliable answers after a model goes...
Scrolling through the endless stream of AI recommendations, the “5 FREE Must-Read Books for Every Machine Learning Engineer” feels like a rare, focused shortcut.
When Westinghouse announced its newest partnership, the headline was simple: Google Cloud is now sitting at the center of its nuclear-energy drive.
It might sound odd that one AI tool reaches over a million students across Italy, but that’s what’s happening.
When Google unveiled its new AI roadmap, the headline promised a kind of “cure-all” for schools wrestling with budget cuts, swelling class sizes and a host of other headaches.
When I scan the latest filings, the AI rush feels a bit like a construction site on the trading floor. Companies that run the biggest models are buying miles of servers, and the cost is climbing faster than the chips themselves.
It feels like every week a new headline pops up about U.S. firms racing to get the kind of training data that lets autonomous systems step out of a virtual sandbox and actually work in the real world.
When I first saw dltHub’s open-source Python library, the headline caught my eye: you can spin up an AI-ready data pipeline in minutes. The claim has people in data-engineering circles whispering, maybe even raising eyebrows.
When Alok Gupta, who used to manage products at Facebook and code at Snapchat, talks about the “AI slop” era, he’s not being vague.
It looks like the Department of Homeland Security has added a new line item to its buying list: a mobile surveillance platform.
Imagine pulling into downtown and the car just drives itself, no hands on the wheel.
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