AI 2027: month-by-month model of intelligence...

I asked Jensen about TPU competition, Nvidia’s lock on the ever more bottlenecked supply chain needed to make advanced chips, whether we should be selling AI chips to China, why Nvidia doesn’t just become a hyperscaler, how it makes its investments, and much more. Enjoy!Watch on ...  Show more

Really enjoyed chatting with Michael Nielsen about how we recognize scientific progress.It's especially relevant for closing the RL verification loop for scientific discovery.But it's also a surprisingly mysterious and elusive question when you look at the history of human scienc ...  Show more

Today’s AI Daily Brief asks when artificial intelligence will begin making real scientific discoveries. We look at Periodic Labs, which just raised more than $300 million to build AI scientists and autonomous labs for physics and chemistry, and Thinking Machines, which is creatin ...  Show more

Episode 43: How massive is the $500 billion AI Stargate Project, and what does it mean for the future of AI? Matt Wolfe ( https://x.com/mreflow) and Nathan Lands ( https://x.com/NathanLands) break down this monumental development and discuss its implications. This episode delves in ...  Show more

The AI industry is obsessed with making models smarter. But what if they’re building the wrong kind of intelligence? In launching his new venture, humans&, Eric Zelikman sees an opportunity to shift the focus from pure IQ to building models with EQ. Sarah Guo is joined by Eric Ze ...  Show more

Step inside DeepMind's laboratories and you'll find researchers studying DNA to understand the mysteries of life, seeking new ways to use nuclear energy, or putting AI to the test in mind-bending areas of maths. In this episode, Hannah meets Pushmeet Kohli, the head of science at ...  Show more