Show Notes
"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
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"Companies designing for agents, not humans, are going to get a lot of lift." ClickHouse started as an internal tool at Yandex. Today it's the database Anthropic, OpenAI, Meta and Tesla all run on. In this episode, CEO Aaron Katz joins Lukas Biewald to talk about how he turned an open source project into a $15B company, why he acquired LangFuse knowing it could cost him customers, and what he's actually building for the agent era. Snowflake, Datadog and Databricks all come up. He doesn't shy away. Connect with us here: Aaron Katz: https://www.linkedin.com/in/aaron-katz-5762094 ClickHouse: https://www.linkedin.com/company/clickhouseinc/ Lukas Biewald: https://www.linkedin.com/in/lbiewald/ Weights and Biases: https://www.linkedin.com/company/wandb/ 00:00 Trailer 00:57 The Origin Story: From Yandex to ClickHouse Inc. 04:43 Building ClickHouse Cloud & Raising $300M 10:36 Growing Up Around Xerox PARC 12:51 Salesforce, Mark Benioff & the Dot-Com Bust 15:32 Cloud Skeptics vs. AI Skeptics | History Repeating 18:05 Building a Modern Go-To-Market Playbook 21:57 The SaaS Crash, Agents & the Future of Infrastructure 27:09 The Datadog Love-Hate Story 35:21 Hardest Moments: Russia, SVB & Sleepless Nights 43:16 Outro