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

We begin the episode with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion.People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops.But the story of how we discov ...  Show more

Dylan Patel, founder of SemiAnalysis, provides a deep dive into the 3 big bottlenecks to scaling AI compute: logic, memory, and power.And walks through the economics of labs, hyperscalers, foundries, and fab equipment manufacturers.Learned a ton about every single level of the st ...  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