podcast

The brutal truth about why Silicon Valley is blowing billions on glorified autocomplete while pretending it’s the next iPhone. We’re diving deep into the AI investment […]

VortexNet uses actual whirlpools to build neural networks. Seriously. By borrowing equations from fluid dynamics, this new architecture might solve deep learning’s toughest problems—from vanishing gradients […]

Also on YouTube   Two AI experts who actually love the technology explain why chasing AGI might be the worst thing for AI’s future—and why the […]

Mark Brocato built Mockaroo—the tool that taught millions of developers how to fake data. Now, as Head of Engineering at Tonic.ai, he’s building the AI agent […]

Most companies don’t have an AI problem. They have a decision-making problem. Matt Lea, founder of Schematical and CloudWarGames, has spent nearly 20 years helping tech […]

LLMs generate text painfully slow, one low-info token at a time. Researchers just figured out how to compress 4 tokens into smart vectors & cut costs […]

VortexNet uses actual whirlpools to build neural networks. Seriously. By borrowing equations from fluid dynamics, this new architecture might solve deep learning’s toughest problems—from vanishing gradients […]

Fred Jordan, Co-CEO of FinalSpark, takes us inside the radical world of biological computing, where real neurons extracted from human tissue are being trained to solve […]

Sanjoy Chowdhury reveals AI’s hidden weakness: while systems can see objects and hear sounds perfectly, they can’t reason across senses like humans do. His research at […]