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  • All-In with Chamath, Jason, Sacks & Friedberg
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  • Disney: The Renaissance and the Empire

    hace 2 días

    Disney: The Renaissance and the Empire

    In 1984, the Walt Disney Company was worth more dead than alive. Disney Animation — the heart of Walt's famous flywheel — had stagnated for years, bleeding away talent while corporate raiders circled, salivating over offers to sell off the film library to MGM and offload the parks to hotel operators. But what followed instead was the greatest turnaround in media history under Michael Eisner and Frank Wells. Beauty and the Beast. The Lion King. Broadway. Bringing the Disney Vault home on VHS and DVD. And the greatest media acquisition of all time — ESPN. And then... it all almost fell apart. Again. Euro Disney turned into a money pit. Boardroom and executive infighting ran rampant. Animation descended into a dumpster fire. (Remember Chicken Little? Us neither.) Comcast — Comcast!! — tried to steal the company via a hostile takeover. Out of the chaos, a new generation of Disney management emerged under Bob Iger to stage yet another epic comeback with Pixar, Marvel and Lucasfilm, creating the defining media empire of the 21st century…until the tech companies came along. Tune in for the ultimate Acquired thrill ride: Disney, Part II. Sponsors: Many thanks to our fantastic Fall '26 Season partners: SierraSentryWorkOSAnthropicLinks: Sign up for email updates, get our takeaways and research photos from each episode, and vote on future topics!The Official Acquired Meetup on Sept 17th with our friends at Sentry. Join us!The Acquired Disney Part II Companion PDFWorldly Partners' Multi-Decade Disney StudyAll episode sourcesCarve Outs: Warby Parker Transitions Extra ActiveMichael Arndt's Toy Story 3 Story PresentationThe Golden State ValkyriesMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00:00 Start00:00:50 Intro00:05:07 Disney in Chaos (1984)00:11:33 Eisner, Wells, Katzenberg Arrive (1984)00:24:30 Animation Renaissance & CAPS Tech (1989)00:37:33 Flywheel Extensions: Home Video, Retail & Broadway00:54:32 Challenges & ABC/ESPN Acquisition (1994-1995)01:05:55 ESPN: Disney's Accidental Goldmine01:21:26 Eisner's Decline & Save Disney Campaign (2001-2004)01:34:53 Comcast Hostile Takeover Bid (2004)01:41:58 Bob Iger's Vision & Pixar Acquisition (2005-2006)01:52:17 Pixar: From Lucasfilm to Steve Jobs (1979-1995)02:03:11 Toy Story, IPO & Eisner Conflict (1995)02:34:30 Disney Acquires Pixar (2006)02:46:37 Marvel & Lucasfilm Acquisitions (2009-2012)02:58:01 Streaming Pivot: Cord Cutting & BAMTech (2015)03:06:30 The Disney+ Strategy & FOX Acquisition (2017-2019)03:19:01 The Disney+ Launch, COVID, & Chapek's Tenure (2019-2022)03:42:15 Iger's Return, Challenges & Parks Revival (2022-2026)03:50:54 The Business Today: Parks & Streaming Focus03:59:22 Analysis: Disney+ Strategy & The New Media Landscape04:10:01 Analysis: Bull/Bear Cases04:21:20 Quintessence04:24:39 Carve-Outs + Outro ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

  • A road trip through the data center debate

    hace 1 día

    A road trip through the data center debate

    The midterms are approaching, and as the discourse heats up, one of big new villains is: a kind of building. Data centers. Reporter Jasmine Sun took a road trip through two swing states to meet the people living at the center of these debates, and to understand where this all might be headed.   no data centers in my backyard by Jasmine Sun

  • Ryan Greenblatt – What happens once AI can automate AI research?

    hace 1 día

    Ryan Greenblatt – What happens once AI can automate AI research?

    Ryan Greenblatt is the Chief Scientist at Redwood Research, where he works on technical AI safety research. He's also lead author on the "Alignment faking in Large Language Models", and is currently working on a third party investigation into the OpenAI/HuggingFace incident. In my opinion, he's one of the most interesting thinkers on the future of AI. Had him on to discuss/debate recursive self-improvement. This might be the most important question in the world right now – whether within a year or so of achieving human-level intelligence, you slingshot towards having 10s of billions of superintelligences, each of which is dramatically more competent than human experts across all fields. I’ve historically been skeptical of this possibility. My intuition has been that we will end up significantly bottlenecked by not only compute scaling but human expert data, which I think underlies most of the AI progress today. If, because of RSI, we got a jump as big as GPT-3 to a Mythos (i.e. 6 years of AI progress) within a single year of achieving AGI, then the thing we get there at the end of that year is definitively and wildly superhuman. We hashed it out, and I think Ryan made a pretty good case that this kind of speedup is plausible. FWIW, Ryan’s median for when we automate AI R&D is 2031. We then discussed the alignment implications of this scenario. Who should these superintelligences be aligned to? In the future, our capacity to steward our votes and our capital, and to make sense of what’s happening in the world, will all be titrated by superintelligences. And I worry that specs like the Claude Constitution are not shaping these ASIs to truly be my personal advocates and guardian angels. And can we get them aligned to anything in the first place? Ryan and I had a long debate about whether the kind of reward hacking we saw with the OAI/Hugging Face hack extrapolates to superintelligences that would team up to literally take over the world. The first piece of advice you get when you’re learning to drive is that it will go much smoother if you look at the horizon instead of directly in front of your tires. And so it is with the trajectory of AI. Hope you enjoy! Watch on YouTube; read the transcript. Sponsors * Antithesis is a software testing platform that finds the failures no human or AI could ever anticipate. It runs thousands of copies of your code inside a fully deterministic computer, injecting faults and steering each trajectory toward the most insidious bugs. This lets you find critical issues in minutes rather than waiting months for your users to uncover them. Learn more at antithesis.com/dwarkesh * Jane Street’s back with a new puzzle. They designed an ASIC and sent me the final masks… but they didn’t tell me what the chip actually does. So that’s the challenge: reverse engineer the circuit and figure out the chip’s purpose. Jane Street has a bunch of swag ready to send to the most creative solutions, and they’re also planning to feature the top write-ups in a blog post. Download the files and get started at janestreet.com/dwarkesh * Cursor and SpaceX recently released Grok 4.5, and I’ve been surprised by just how good the model is. For example, when I tested it against Fable and Sol on a bunch of AI governance questions, all three models gave substantially the same answers, but Grok was faster, more concise, and cheaper. Grok 4.6 is coming soon, but in the meantime, you can try 4.5 at cursor.com/dwarkesh Timestamps (00:00:00) – Is AI R&D verifiable enough to unlock recursive self-improvement? (00:16:52) – Is AI progress bottlenecked by human expert data? (00:34:02) – Flat token prices suggest scaling has been slow (00:39:47) – Skills AI can’t train on: does it even need them? (00:48:07) – Aligned to whom? (01:09:18) – Recent incidents of AIs colluding and deceiving humans (01:19:38) – What could possibly go wrong? A concrete scenario (01:48:02) – From reward hacking to takeover Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

  • Google's AI Brain Drain, SpaceX's Huge Quarter, Airtable's 90% Collapse, US Data Fuels China AI

    hace 4 días

    Google's AI Brain Drain, SpaceX's Huge Quarter, Airtable's 90% Collapse, US Data Fuels China AI

    (0:00) Bestie intros! Brad Gerstner fills in for Chamath (2:16) Major shakeups at Google: AI brain drain or better strategy? (20:39) SpaceX's big quarter: Terafab, AI Capex, $1T revenue projection? (45:44) All-In Summit Speaker Announcements! (48:01) Airtable sells for a 90% discount: SaaSpocalypse? (1:05:56) Chinese AI labs are buying US training data to catch up Apply for Summit 2026: https://allin.com/events Follow Brad: https://x.com/altcap Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://x.com/the_ai_investor/status/2084687703707361429 https://x.com/Tesla/status/2085365278276284803

  • AI Optimism Has a Trust Problem

    hace 23 h

    AI Optimism Has a Trust Problem

    Mark Zuckerberg is making the AI industry’s most aggressive case yet for an optimistic future—one built around personal empowerment, open models, new jobs and a different relationship between labs and government. But can one of tech’s least trusted messengers persuade a public that increasingly sees Silicon Valley as out of touch? NLW examines Zuckerberg’s manifesto, Meta’s new open model and $1 billion community fund, and why AI optimism has become as much a political challenge as a technological one. AIDB's AI Summer Adventure: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://summeradventure.ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠⁠⁠⁠⁠https://kpmg.com/us/Sophisticated⁠⁠⁠⁠⁠ Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hyperagent.com/aidailybrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.rackspace.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Section - Section turns AI investment into workforce transformation and ROI - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring the show? sponsors@aidailybrief.ai

  • Monologue: NVIDIA's No IT Loads Refused Cash Dump

    hace 15 h

    Monologue: NVIDIA's No IT Loads Refused Cash Dump

    In this week's Better Offline monologue, Ed Zitron runs through NVIDIA’s entirely-theoretical $500 billion AI infrastructure partnership with various asset managers, all to keep up with analyst expectations that it will make more than $1.6 trillion in the next three years. Chloe’s Show Cheat - https://publictheater.org/performances-jp/2026/c/chloe-radcliffe-cheat/ - August 19th and 20thNews Story: https://www.cnbc.com/2026/08/10/nvidia-wall-street-asset-managers-500-billion-ai-push.html Jensen Huang Tweet: https://x.com/JensenHuang/status/2086934705207959965?s=20 WSJ story on Anthropic IPO: https://www.wsj.com/tech/ai/anthropic-tries-to-shore-up-investor-confidence-ahead-of-blockbuster-ipo-0ff736ad  Numbers: Consensus analyst estimates for revenue for the next three years are utterly f*****g insane. NVIDIA made about $216 billion dollars in fiscal year 2026 - which ended on January 25th 2026, frustratingly - and analyst expectations have it at $393.7 billion dollars in Fiscal Year 2027, or a little under doubling its revenue year-over-year. In Fiscal Year 2028, expectations are at $565.7 billion dollars, and in Fiscal Year 2029, NVIDIA is expected to make $694 billion dollars. Over 90% of its revenues come from selling GPUs and other data center hardware. I realize that’s a lot of numbers, so I’ll put it simply: NVIDIA is expected to sell over $1.6 trillion dollars’ worth of GPUs by January 2029, and the vast majority of its customers - including hyperscalers - are having to take out hundreds of billions of dollars’ worth of debt to pay for it. Save $10 off a year of my premium newsletter: https://edzitronswheresyouredatghostio.outpost.pub/public/promo-subscription/gzqwkv54e1 - I’d be so grateful!  YOU CAN NOW BUY BETTER OFFLINE MERCH! Go to https://cottonbureau.com/people/better-offline and use code FREE99 for free shipping on orders of $99 or more. --- LINKS: https://www.tinyurl.com/betterofflinelinks Newsletter: https://www.wheresyoured.at/ Reddit: https://www.reddit.com/r/BetterOffline/  Discord: chat.wheresyoured.at Ed's Socials: https://twitter.com/edzitron https://www.instagram.com/edzitron https://bsky.app/profile/edzitron.com https://www.threads.net/@edzitron Email Me: ez@betteroffline.com   See omnystudio.com/listener for privacy information.

  • Mechanical Donut - OpenAI Responds to Apple's Lawsuit

    hace 18 h

    Mechanical Donut - OpenAI Responds to Apple's Lawsuit

    Apple's lawsuit against OpenAI is escalating. A Chinese RAM supplier rejects Apple's discount demands for RAM. And could Apple shake up its smartwatch lineup? OpenAI asks for Apple's trade secrets lawsuit to be dismissed, says it was filed without 'adequate investigation'. Apple lawsuit against OpenAI says iCloud mess didn't play a role. OpenAI's vision of the future is reportedly a donut-shaped smart speaker. Telegram's takedown caused by planted porn & weaponized App Store policies. Following Epic loss, Google has started hosting rival app stores in the Play Store. iOS 26 gets first jailbreak thanks to Dopamine. Chinese RAM supplier denies Apple's bid for cheaper RAM. RAM production worldwide is sold out through 2027. Apple RAM supplier makes $38B bet on AI boom lasting until 2029. Apple explores shaking up its smartwatch for a new era. Apple releases security updates to macOS Tahoe, Sequoia, and Sonoma. Apple's Private Relay may not be as private as thought. Apple and Major League Baseball announce September "Friday Night Baseball" schedule and first‑ever broadcast in Apple Immersive. Klepton - Running Android ARM64 VR APKs on Apple Vision Pro, no JIT required! Picks of the Week Jason's Pick: Letterboxx Andy's Pick: Sony NW-A306 Walkman Christina's Picks: Maxell Wireless Bluetooth Cassette Player & I Have ADHD Skill Leo's Picks: Kokogol Maclock & NVIDIA DGX Spark Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: horizon3.ai/macbreak cirasync.com/MacBreak

  • Trusting medicine in an age of doubt

    hace 5 días

    Trusting medicine in an age of doubt

    Medicine keeps advancing. Trust is falling behind. This hour, TED speakers explore why the future of healthcare depends not only on innovation, but also on listening, humility and honesty. Guests include viral immunologist Kizzmekia Corbett-Helaire and writer James Robinson. Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show’s perks include bonus episodes and sponsor-free listening. Learn more at plus.npr.org. See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy

  • The White House’s Secret A.I. Rules + The State of Model Alignment With METR’s Chris Painter + The Final Hot Mess Express

    hace 5 días

    The White House’s Secret A.I. Rules + The State of Model Alignment With METR’s Chris Painter + The Final Hot Mess Express

    This week, the White House announced a new framework for regulating A.I. models, but it isn’t letting the public read it. We break down what we know about the rules and what the implications are for the industry and A.I. safety as a whole.  Then, yet another report details new incidents in which A.I. agents have gone rogue. Chris Painter, the president of METR, an independent A.I. evaluation organization, joins to discuss how we get these models under control.  And finally, we're hopping on the Hot Mess Express for the very last time. We’ll rate the craziest tech headlines from the week, including Google’s announcement that Demis Hassabis is stepping into a new role.    Guests: Chris Painter, president of METR.    Additional Reading: White House Readies A.I. Framework to Review Security Risks Inside Trump's AI framework How Do You Measure an A.I. Boom? METR’s Frontier Risk Report Google Shakes Up A.I. Leadership Did an A.I. Music App Just Snitch on the Song of the Summer? This AI Assistant Wants to Make Up for Your Boyfriend’s Incompetence Google Earth’s AI deepfake tool only lasted one day US government map of Africa mislabels every country at global conference Contractor who built Colossus and Colossus II says Elon Musk owes him colossal amount of money   We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok.   Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  • Lessons from the very first chatbot

    hace 23 h

    Lessons from the very first chatbot

    Before Alexa and Siri, there was ELIZA. The first chatbot ever was the creation of a man named Joseph Weizenbaum, who built the bot almost as a magic trick — and then couldn't believe how many people fell for it. David Berry and Mark Marino, two members of a team dedicated to restoring and understanding ELIZA, explain how Weizenbaum created the virtual conversant, why he came to regret it, and what ELIZA can teach us about life in the AI age. Further reading: Why your Amazon order confirmation emails have become so unhelpful David Ellison’s ready to pull Paramount out of California What to expect from Google’s 2026 Pixel hardware launch event The ELIZA Archaeology Project Inventing ELIZA: How the First Chatbot Shaped the Future of AI From Eliza to ChatGPT: the 60-year history of chatbots Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

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