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MARC ANDREESSEN and ROGAN talked for over 3 hours, here are 17 key takeaways:

X AI KOLs Timeline · 2026-07-21 Cached

Marc Andreessen and Joe Rogan had a conversation lasting over 3 hours. This article summarizes 17 noteworthy points.

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@GergelyOrosz: Ever wondered why the founder of @turbopuffer (that is @Sirupsen) was up to 12-16 years ago, when he was getting starte…

X AI KOLs Following · 2026-07-21 Cached

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.

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@vasuman: Broke down AI Forward Deployed Engineering and why the biggest unlock for enterprises in the AI age. Give it a listen a…

X AI KOLs Following · 2026-07-20 Cached

A podcast discussion on the role of AI Forward Deployed Engineers, explaining what the role entails and a 30-day roadmap to become one.

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Dr. Jill Lepore on why AI backlash is vital for the future

The Verge · 2026-07-20 Cached

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.

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The Clapper was a bad smart home gadget — and a viral sensation

The Verge · 2026-07-19 Cached

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.

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Why Apple Sued OpenAI, New York Takes on Data Centers, and What to Know about Cyclosporiasis

Wired · 2026-07-16 Cached

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.

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@arcane_bloom: https://x.com/arcane_bloom/status/2077733957995733062

X AI KOLs Timeline · 2026-07-16 Cached

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.

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@GergelyOrosz: Knowing how LLM contexts work and how to work around context limitations – aka “context engineering” – is becoming so i…

X AI KOLs Timeline · 2026-07-15 Cached

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.

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@MSFTResearch: Recalling a new password after hours of distractions can be hard. Not for a transformer. Microsoft CVP Doug Burger & AI…

X AI KOLs Following · 2026-07-15 Cached

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.

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@FoundersPodcast: New episode: Peter Thiel on How to Build a Creative Monopoly Or what I learned from reading Zero to One for the 3rd (or…

X AI KOLs Timeline · 2026-07-14 Cached

Podcast episode recap of Peter Thiel's interview on building a creative monopoly, summarizing key lessons from Zero to One.

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@NASA: "Never a dull moment." @astro_anil discusses career, family life, and preparations for his very first spaceflight, set …

X AI KOLs Following · 2026-07-13 Cached

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.

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Even Nvidia’s head of automotive fights with Nvidia for compute

The Verge · 2026-07-13 Cached

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.

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@choopyplug1: 6,000 tech workers were surveyed about AI. half said they feel incredible. the other half said: "my brain is rotting" t…

X AI KOLs Timeline · 2026-07-12 Cached

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.

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How Philips Hue got the smart home right

The Verge · 2026-07-12 Cached

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.

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@mattpocockuk: Thinking about a workflow like this for helping prevent comprehension debt on a fast-moving repo: Fast-moving repo w/lo…

X AI KOLs Following · 2026-07-12 Cached

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.

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Computer Science Off Course - Programming as Theory Building

Lobsters Hottest · 2026-07-12 Cached

This podcast episode discusses Peter Naur's classic paper 'Programming as Theory Building', exploring its implications for AI, LLM usage, and computer science education.

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@kentcdodds: More examples of engineers owning outcomes:

X AI KOLs Following · 2026-07-10 Cached

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.

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Open source AI matters more than ever, according to Hugging Face’s Clem Delangue

TechCrunch AI · 2026-07-10 Cached

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.

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@GoogleDeepMind: Watch → https://goo.gle/4pxlGEh Spotify → https://goo.gle/4f89R2a Apple Podcasts → https://goo.gle/4fpWThL Or listen wh…

X AI KOLs · 2026-07-10 Cached

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.

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@GoogleDeepMind: A model’s chain of thought acts like a scratch pad, offering a window into its reasoning. On the latest episode of our …

X AI KOLs · 2026-07-10 Cached

Google DeepMind announces a podcast episode on interpretability, featuring host @fryrsquared and @NeelNanda5 discussing mechanistic interpretability, chain of thought monitoring, and safety auditing.

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