Magic Harbor AI

Ilya Sutskever helped prove that scale works in AI. Now he says it doesn't—and his $3 billion company is betting the future belongs to researchers with ideas, not labs with the biggest GPU clusters. The industry isn't ready for this argument. Ilya Sutskever thinks everyone is doing AI wrong. Not just slightly wrong. Fundamentally, paradigmatically wrong. In a recent interview with Dwarkesh Patel, the co-founder of Safe Superintelligence (SSI) and former OpenAI chief scientist laid out a thesis that should unsettle every frontier lab executive currently signing billion-dollar compute contracts. The age of scaling, he argues, has ended. What comes next requires something the industry has largely abandoned: actual research. "We got to the point where we are in a world where there are more companies than ideas," Sutskever observed. "By quite a bit." The statement lands differently coming from him. This is the researcher who co-authored AlexNet, helped b...

AI researcher Andrej Karpathy asserted in a lengthy podcast interview that while LLMs show huge progress, a decade of "grunt work" still lies ahead. When OpenAI co-founder Andrej Karpathy speaks, even Elon Musk reacts. Karpathy had just recorded a two-and-a-half-hour interview with podcaster Dwarkesh Patel. And their wide-ranging discussion challenged conventional wisdom, with Karpathy pointing out roadblocks on any road to artificial general intelligence (AGI), and arguing that we’re 10 years away from AI agents. Right off the bat, Karpathy said “there’s some over-prediction going on in the industry.” And later, on X.com, he provided specifics on his own expectations: “Basically my AI timelines are about 5-10 times [as] pessimistic with regard to what you’ll find in your neighborhood San Francisco AI house party or on your Twitter timeline, but still quite optimistic with regard to a rising tide of AI deniers and skeptics.” Conversations inevitably continued on soci...