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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.
A Vergecast episode discusses Netflix's expansion into YouTube-style content, Meta's smart glasses strategy, and other tech news.
This article summarizes a WIRED podcast episode covering Threads reaching 500 million monthly users, the delayed launch of the Trump-branded T1 phone, and a political scandal in Maine's Senate race.
Matt Pocock describes his personal wiki journey, using AI to generate daily podcasts from multiple data sources and build on-demand deep dives, along with a custom CLI for agents to help create course material, highlighting the power of owning your data.
This episode discusses the rework of the OpenClaw onboarding process, comparisons with Hermes, and the necessity of a self-improvement system. Community members and developers have an in-depth discussion on how to lower the barrier to entry.
General Intuition CEO Pim de Witte argues that training AI on video game data could be key to achieving AGI, as games provide spatial and temporal understanding that text-only models lack. The Bezos-backed startup recently raised $320 million.
Troy Hunt's weekly update from Marrakech discusses the futility of trying to remove personal data from data brokers and addresses companies' misguided marketing efforts.
Kent C. Dodds shares a podcast episode with Lucas Wargha discussing product engineering, user conversations, and engineering culture.