Should American companies be worried about Chinese open-source AI models?

Lin Qiao, CEO of Fireworks, doesn't think so.

In this episode, she joins Lukas Biewald to talk about why she believes the industry is at a turning point, one that calls for more open intelligence, not less.

They cover how Fireworks now processes more tokens a day than OpenAI's API, why she thinks the future belongs to specialized models built on private company data rather than general-purpose ones, and why she believes OpenAI and Anthropic should be open-sourcing their own models too.

Connect with us here:

• Lin Qiao
• Fireworks
• Lukas Biewald
• Weights and Biases

"We are going to switch from the problem in AI being that nothing works to the problem being that everything works."

Dan Klein has been studying language models for over two decades and is now a professor of computer science at Berkeley. His new company, Scaled Cognition, is built around one question: how do you build a system that will not lie to you?

In this episode, Dan joins Lukas Biewald to talk about why every LLM output is technically a hallucination, how reinforcement learning can quietly teach AI to deceive you, and what it actually takes to build models that check their own work.

He also gets into why reliability is the one part of AI that hasn't kept pace and why that matters more than most people realize.

Connect with us here:

• Dan Klein
• Scaled Cognition
• Lukas Biewald
• Weights and Biases

Samuel Rodriques left physics because there were no unsolved problems left.

Instead, he built an AI scientist named Kosmos to cure every disease, solve aging, and map the human brain.

In this episode:

• The cure his AI proposed for blindness
• Why he would never touch a peptide
• Whether we'll need human scientists in 20 years
• What's stopping America in drug discovery

Connect with us here:

• Samuel Rodriques
• Edison Scientific
• Lukas Biewald
• Weights & Biases