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Marc Andreessen and Joe Rogan had a conversation lasting over 3 hours. This article summarizes 17 noteworthy points.
A tweet by Gergely Orosz highlights that Simon Eskildsen, founder of turbopuffer, kept a blog from 2010–2014, and shares a comprehensive list of recent talks and podcasts about turbopuffer and vector search.
A podcast discussion on the role of AI Forward Deployed Engineers, explaining what the role entails and a 30-day roadmap to become one.
Harvard historian Dr. Jill Lepore discusses her book 'The Rise and Fall of the Artificial State,' arguing that backlash against AI is essential as she critiques the dehumanizing effects of systemic measurement and the rise of Big Tech.
The Verge's podcast 'Version History' releases its season 4 finale covering the flawed but iconic smart home gadget, The Clapper, its viral ad campaign, and its legacy.
This episode of WIRED's Uncanny Valley podcast covers Apple's lawsuit against OpenAI, OpenAI employees funding a rival super PAC for AI guardrails, New York's first statewide data center moratorium, DOGE's AI use at HUD, and a cyclosporiasis outbreak.
Discusses a Latent Space podcast episode where Anjney Midha explains why AI labs with unlimited GPUs still fail, drawing on his experience at amppublic and a16z.
Gergely Orosz tweets about a podcast with Dex Horthy on LLM context engineering, covering lessons like the dangers of shipping unread code and recognizing when an LLM session is trajectory-poisoned.
Microsoft Research releases a podcast episode where Doug Burger, Nicolò Fusi, and Subutai Ahmad debate whether AI systems like transformers are truly intelligent compared to the human brain.
Podcast episode recap of Peter Thiel's interview on building a creative monopoly, summarizing key lessons from Zero to One.
NASA astronaut Anil Menon discusses his upcoming first spaceflight to the ISS aboard Soyuz MS-29 in the latest episode of Houston We Have a Podcast, covering his career, family, and preparations.
The Verge's Decoder podcast interviews Nvidia's head of automotive Xinzhou Wu about the company's role in the auto industry, the transition to software-defined vehicles, autonomous driving challenges, and competing for compute resources within Nvidia.
A survey of 6,000 tech workers reveals a sharp split in AI sentiment, with half feeling amplified and half destabilized, along with rising burnout and falling optimism.
The Verge's Version History podcast explores how Philips Hue succeeded in the smart home market by focusing on reliability, broad platform compatibility, and seamless user experience.
Matt Pocock shares an idea for a workflow using LLMs to generate podcast summaries of code diffs, aiming to prevent comprehension debt in fast-moving repos; he has implemented it for his personal wiki with good results.
This podcast episode discusses Peter Naur's classic paper 'Programming as Theory Building', exploring its implications for AI, LLM usage, and computer science education.
A discussion with Lucas Wargha on how software engineers can shift toward product engineering by focusing on customer outcomes, with examples like Gmail's background inbox loading.
TechCrunch covers a podcast episode with Hugging Face CEO Clem Delangue discussing why open source AI is more important than ever, including the shift from frontier APIs to open models, Chinese labs' dominance, and Hugging Face's capital efficiency strategy.
Google DeepMind podcast discusses AI interpretability (mechanistic interpretability) and chain-of-thought reasoning, explaining why we need to understand the internal working mechanisms of neural networks and the value and limitations of chain-of-thought as a temporary window.
Google DeepMind announces a podcast episode on interpretability, featuring host @fryrsquared and @NeelNanda5 discussing mechanistic interpretability, chain of thought monitoring, and safety auditing.