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  • AI Makes Google Maps Sound Much Better

    2 DAYS AGO

    1

    AI Makes Google Maps Sound Much Better

    More AI inspired job cuts. I gotta say, adding AI to Google Maps makes it sound like it might work much, much better. A new entrant into the AI health space. An Iran-war-related hacking takes down a company. And Mark Gurman tells us what to expect from a foldable iPhone. Atlassian slashes 10% of workforce to ‘self-fund’ investments in AI and enterprise sales (CNBC) You can now ask Google Maps ‘complex, real-world questions’ — and Gemini will answer (The Verge) Anthropic’s Claude AI can respond with charts, diagrams, and other visuals now (The Verge) Microsoft’s New AI Health Tool Can Read Your Medical Records and Give Advice (WSJ) Iran Expands War With Major Cyberattack Against U.S. Company (WSJ) Apple’s Foldable iPhone to Feature iPad-Like Interface When Opened (Bloomberg) Learn more about your ad choices. Visit megaphone.fm/adchoices

    2 days ago

    •
    21 min
  • The most important question nobody's asking about AI

    3 DAYS AGO

    2

    The most important question nobody's asking about AI

    Read the full essay here: https://www.dwarkesh.com/p/dow-anthropic Timestamps (00:00:00) - Anthropic vs The Pentagon (00:04:16) - The overhangs of tyranny (00:05:54) - AI structurally favors mass surveillance (00:08:25) - Alignment...to whom? (00:13:55) - Coordination not worth the costs Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    3 days ago

    •
    25 min
  • Claude 365

    5 DAYS AGO

    3

    Claude 365

    Anthropic is fighting the government in court. Microsoft is turning to Anthropic to get agentic in all its productivity products. A big new hyperscaler startup has raised a monster round. And could the war with Iran be something that could pop the AI bubble? Anthropic is suing the Department of Defense (The Verge) Microsoft announces Copilot Cowork with help from Anthropic — a cloud-powered AI agent that works across M365 apps (VentureBeat) Nscale Raises $2 Billion and Adds Sandberg, Clegg to Board (Bloomberg) Iran War Imperils $300 Billion in Gulf AI Spending (The Information) When Using AI Leads to “Brain Fry” (HBR) Learn more about your ad choices. Visit megaphone.fm/adchoices

    5 days ago

    •
    22 min
  • Formula 1

    2 MAR

    4

    Formula 1

    Formula 1 is three competitions in one: a 200mph battle of the world's best race car drivers, the world cup of engineering where thousand-person teams spend hundreds of millions designing cars from scratch, and — as one of our listeners perfectly put it — the “Real Housewives of the Garage”, a soap opera of billionaire egos, team politics, and paddock drama that makes for incredible reality television. It's also the world's most popular annual sporting series with over 827 million fans globally — a fact that would shock most Americans, who until a recent viral Netflix series had barely heard of it. Today we tell the story of how a chaotic, deadly, and gloriously dysfunctional European racing series became one of the greatest business stories in sports. For decades, brilliant engineers and daredevil drivers dedicated their lives (and too often lost them) to a league controlled for 45 years by a single man: a former London car dealer named Bernie Ecclestone, who centralized power and extracted billions, while also undeniably single-handedly making the sport successful. Then, in a move no one saw coming, the American company Liberty Media bought the whole thing in 2017, installed a team of Fox Sports and ESPN veterans, and did what Bernie never would — professionalized it. All of a sudden famously money-losing F1 teams turned into real businesses, with the average team valuation today clocking in at an astounding $3.6 billion. Buckle up for one of our most-requested episodes: the wild story of Formula 1. Sponsors: Many thanks to our fantastic Spring '26 Season partners: J.P. Morgan PaymentsServiceNowVercelStatsigLinks: Sign up for email updates and vote on future episodes!The Formula by Joshua Robinson and Jonathan CleggDrive to Survive on NetflixF1 The Movie on Apple TVAdrian Newey, How to Build a CarSenna documentaryWorldly Partners' Multi-Decade Formula One StudyAll episode sourcesCarve Outs: Cirque du Soleil EchoSuper Bowl LX Mic'd UpTonalPrincess Peach: Showtime! on Nintendo SwitchDaloopa for historical financial dataMore Acquired: Get email updates and vote on future episodes!Join the SlackSubscribe to ACQ2Check out the latest swag in the ACQ Merch Store!00:00:00 Intro00:05:52 Origins of F1: Britain, Italy, and Monaco00:30:43 Bernie's Entrance00:37:42 Bernie Consolidates Power00:50:33 F1 as a Global TV Sport (Except America)01:08:08 F1's Incredible Engineering Achievements01:19:34 Senna's Crash and a New Era for Safety01:33:18 The Many Owners of F1, and Bernie's Liquidity Drama01:57:48 FOTA: The attempted breakaway series02:05:07 RedBull, Mercedes, and Reinventing the Sport02:42:33 Liberty Media buys F1 and Brings it to the Modern Era03:05:03 Drive to Survive03:26:45 Apple, TV Rights, and Success in America03:41:52 F1: The Business Today03:56:23 Analysis: Why Did F1 Work… and Was Bernie Necessary?04:05:40 7 Powers04:08:23 Bear vs. Bull Cases04:16:32 Quintessence04:20:08 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.

    2 Mar

    •
    4h 30m
  • Adam Marblestone — AI is missing something fundamental about the brain

    30/12/2025

    5

    Adam Marblestone — AI is missing something fundamental about the brain

    Adam Marblestone is CEO of Convergent Research. He’s had a very interesting past life: he was a research scientist at Google Deepmind on their neuroscience team and has worked on everything from brain-computer interfaces to quantum computing to nanotech and even formal mathematics. In this episode, we discuss how the brain learns so much from so little, what the AI field can learn from neuroscience, and the answer to Ilya’s question: how does the genome encode abstract reward functions? Turns out, they’re all the same question. Watch on YouTube; read the transcript. Sponsors * Gemini 3 Pro recently helped me run an experiment to test multi-agent scaling: basically, if you have a fixed budget of compute, what is the optimal way to split it up across agents? Gemini was my colleague throughout the process — honestly, I couldn’t have investigated this question without it. Try Gemini 3 Pro today gemini.google.com * Labelbox helps you train agents to do economically-valuable, real-world tasks. Labelbox’s network of subject-matter experts ensures you get hyper-realistic RL environments, and their custom tooling lets you generate the highest-quality training data possible from those environments. Learn more at labelbox.com/dwarkesh To sponsor a future episode, visit dwarkesh.com/advertise. Timestamps (00:00:00) – The brain’s secret sauce is the reward functions, not the architecture (00:22:20) – Amortized inference and what the genome actually stores (00:42:42) – Model-based vs model-free RL in the brain (00:50:31) – Is biological hardware a limitation or an advantage? (01:03:59) – Why a map of the human brain is important (01:23:28) – What value will automating math have? (01:38:18) – Architecture of the brain Further reading Intro to Brain-Like-AGI Safety - Steven Byrnes’s theory of the learning vs steering subsystem; referenced throughout the episode. A Brief History of Intelligence - Great book by Max Bennett on connections between neuroscience and AI Adam’s blog, and Convergent Research’s blog on essential technologies. A Tutorial on Energy-Based Learning by Yann LeCun What Does It Mean to Understand a Neural Network? - Kording & Lillicrap E11 Bio and their brain connectomics approach Sam Gershman on what dopamine is doing in the brain Gwern’s proposal on training models on the brain’s hidden states Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    30/12/2025

    •
    1h 50m
  • Thoughts on AI progress (Dec 2025)

    23/12/2025

    6

    Thoughts on AI progress (Dec 2025)

    Read the essay here. Timestamps 00:00:00 What are we scaling? 00:03:11 The value of human labor 00:05:04 Economic diffusion lag is cope00:06:34 Goal-post shifting is justified 00:08:23 RL scaling 00:09:18 Broadly deployed intelligence explosion Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    23/12/2025

    •
    12 min
  • Dr. ChatGPT Isn’t Quite There Yet

    5 MAR

    7

    Dr. ChatGPT Isn’t Quite There Yet

    Is the long war between Google and Epic Games finally over? OpenAI wants you to know its revenue numbers are also stellar. Maybe ChatGPT isn’t so great at medical advice. Maybe the chip shortage isn’t great for Nintendo specifically. And maybe the MacBook Nano isn’t great for the Windows ecosystem generally. Google Revamps Android App Stores to Resolve Antitrust Claims (Bloomberg) Tim Sweeney signed away his right to criticize Google until 2032 (The Verge) Google’s AI-powered workspace is now available to more users in Search (The Verge) OpenAI Tops $25 Billion in Annualized Revenue as Anthropic Narrows Gap (The Information) ChatGPT Health 'under-triaged' half of medical emergencies in a new study (NBC News) Nintendo Switch 2 Users Face Storage Woes as Memory Crisis Bites (Bloomberg) I can't believe it: Apple’s $599 MacBook Neo just lit a monstrous fire under the Windows laptop market — Microsoft better be panicking (Windows Central) Learn more about your ad choices. Visit megaphone.fm/adchoices

    5 Mar

    •
    20 min
  • The Week Of Apple Updates (Corrected)

    2 MAR

    8

    The Week Of Apple Updates (Corrected)

    Apparently, it’s going to be a week of Apple updates and it kicks off with the iPhone 17e and an M4 iPad Air. AWS service is struggling in the Middle East. An important ruling in terms of AI copyright. Anthropic makes it easy to switch to Claude. And what exactly went on with that whole Pentagon/Anthropic dispute. ⁠Apple announces the iPhone 17E⁠ (The Verge) ⁠Apple speeds up the iPad Air with an M4 upgrade, starting at $599 ⁠(TechCrunch) ⁠Amazon's cloud unit reports fire after objects hit UAE data center ⁠(Reuters) ⁠US Supreme Court declines to hear dispute over copyrights for AI-generated material⁠ (Reuters) ⁠Anthropic's Claude can now absorb your past conversations with other AI chatbots⁠ (Engadget) ⁠Inside Anthropic’s Killer-Robot Dispute With the Pentagon⁠ (The Atlantic) Learn more about your ad choices. Visit megaphone.fm/adchoices

    2 Mar

    •
    21 min
  • The NFL

    27 JAN

    9

    The NFL

    The NFL is nearly synonymous with America today. Practically nothing is more quintessentially and universally American than tuning in every Sunday (and Monday, and Thursday… and sometimes Saturdays and holidays too) to watch the world’s most beautiful ballet of violence. It generates the most revenue of any sports league globally and sets new records for team valuations each year. But it wasn’t always this way. The history of the NFL mirrors America’s own development: scrappy small-town teams rode the successive growth waves of the automobile, TV, the Internet and social media to grow larger than the even the founders’ wildest dreams. Whether you watch football or not, the NFL is one incredible business story, and one that we’ve taken more lessons from over the years for Acquired itself than perhaps any other episode we’ve made. Note: This is a remastered release of our original January 2023 episode, updated to today's Acquired production standards. It also features a full hour+ followup section at the end covering the seismic shifts in the NFL’s business since the original episode’s release. Much has happened in those three years: Taylor Swift entered the league (via merger 🙂), streaming went mainstream (and took over Thanksgiving and Christmas), sports gambling exploded from 46 million to 76 million bettors, and — in perhaps the most surprising development — private equity finally stormed the gates of the NFL. Oh, and average franchise valuations grew by 60% from $4.5 billion to over $7 billion. Communist capitalism is alive and well! We're also releasing this episode in advance of Super Bowl LX here in San Francisco, where Acquired is hosting the NFL’s inaugural Super Bowl Innovation Summit! Sponsors: Many thanks to our partners: VantaSierraCrusoeSentry (+ join the list for Sentry & Vercel’s Super Bowl Fan Zone party)Links: Innovation Summit details and all Super Bowl LX Week events in San Francisco (note content from the Innovation Summit will be posted publicly the week after the Super Bowl — we’ll update this page with links when available)America’s GameSports Illustrated’s oral history of the famous Joe Namath “pool photo”All episode sourcesCarve Outs: The MenuPeyton’s PlacesMore Acquired: Get email updates and vote on future episodes!Join the SlackSubscribe to ACQ2Check out the latest swag in the ACQ Merch Store!00:00:00 Intro00:00:37 Welcome to the Remastered NFL Episode00:06:05 Origins of Football & the Forward Pass (1869-1905)00:14:34 The Founding of the NFL (1920)00:41:52 Bert Bell's "Any Given Sunday" Philosophy (1946)01:03:28 Pete Rozelle Transforms the League (1960)01:56:34 The Creation of the Super Bowl (1966)02:09:47 Monday Night Football Invents Modern Sports TV (1970)02:37:19 The NFL's Business Model Explained02:39:28 CTE & the Kaepernick Controversy (2016)02:48:36 Analysis: Playbook & 7 Powers Analysis03:21:04 2026 UPDATE: Netflix, Youtube, Amazon Streaming, T-Swift, Gambling & New TV Deals03:57:11 Private Equity Enters the NFL (2024)04:14:08 Conclusion & Thank Yous ‍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.

    27 Jan

    •
    4h 17m
  • Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin

    8 JAN

    10

    Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin

    Today, we're joined by Nikita Rudin, co-founder and CEO of Flexion Robotics to discuss the gap between current robotic capabilities and what’s required to deploy fully autonomous robots in the real world. Nikita explains how reinforcement learning and simulation have driven rapid progress in robot locomotion—and why locomotion is still far from “solved.” We dig into the sim2real gap, and how adding visual inputs introduces noise and significantly complicates sim-to-real transfer. We also explore the debate between end-to-end models and modular approaches, and why separating locomotion, planning, and semantics remains a pragmatic approach today. Nikita also introduces the concept of "real-to-sim", which uses real-world data to refine simulation parameters for higher fidelity training, discusses how reinforcement learning, imitation learning, and teleoperation data are combined to train robust policies for both quadruped and humanoid robots, and introduces Flexion's hierarchical approach that utilizes pre-trained Vision-Language Models (VLMs) for high-level task orchestration with Vision-Language-Action (VLA) models and low-level whole-body trackers. Finally, Nikita shares the behind-the-scenes in humanoid robot demos, his take on reinforcement learning in simulation versus the real world, the nuances of reward tuning, and offers practical advice for researchers and practitioners looking to get started in robotics today. The complete show notes for this episode can be found at https://twimlai.com/go/760.

    8 Jan

    •
    1h 7m

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