• Home
  • New
  • Top Charts
  • Search

Technology

  • Acquired
    Acquired

    1

    Acquired

    Ben Gilbert and David Rosenthal

  • The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
    The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

    2

    The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

    Sam Charrington

  • Dwarkesh Podcast
    Dwarkesh Podcast

    3

    Dwarkesh Podcast

    Dwarkesh Patel

  • Explicit, My StudioNerds
    My StudioNerds

    4

    My StudioNerds

    Devvon Terrell

  • Explicit, Panic World
    Panic World

    5

    Panic World

    COURIER

  • The Scrimba Podcast
    The Scrimba Podcast

    6

    The Scrimba Podcast

    Alex Booker

  • Tech Brew Ride Home
    Tech Brew Ride Home

    7

    Tech Brew Ride Home

    Morning Brew

Essentials

  • Hard Fork
    Technology
    Technology

    Every two weeks

  • The Vergecast
    Technology
    Technology

    Updated twice weekly

  • There Are No Girls on the Internet
    Technology
    Technology

    Updated weekly

  • Endless Thread
    Technology
    Technology

    Updated weekly

  • Land of the Giants
    Business
    Business

    Weekly series

  • Channels with Peter Kafka
    Business News
    Business News

    Updated weekly

  • Uncanny Valley | WIRED
    Technology
    Technology

    Updated weekly

  • The NFL (2026 Update)

    27 JAN

    1

    The NFL (2026 Update)

    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

    2

    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
  • Dario Amodei — "We are near the end of the exponential"

    13 FEB

    3

    Dario Amodei — "We are near the end of the exponential"

    Dario Amodei thinks we are just a few years away from AGI — or as he puts it, from having “a country of geniuses in a data center”. In this episode, we discuss what to make of the scaling hypothesis in the current RL regime, why task-specific RL might lead to generalization, and how AI will diffuse throughout the economy. We also dive into Anthropic’s revenue projections, compute commitments, path to profitability, and more. Watch on YouTube; read the transcript. Sponsors * Labelbox can get you the RL tasks and environments you need. Their massive network of subject-matter experts ensures realism across domains, and their in-house tooling lets them continuously tweak task difficulty to optimize learning. Reach out at labelbox.com/dwarkesh. * Jane Street sent me another puzzle… this time, they’ve trained backdoors into 3 different language models — they want you to find the triggers. Jane Street isn’t even sure this is possible, but they’ve set aside $50,000 for the best attempts and write-ups. They’re accepting submissions until April 1st at janestreet.com/dwarkesh. * Mercury’s personal accounts make it easy to share finances with a partner, a roommate… or OpenClaw. Last week, I wanted to try OpenClaw for myself, so I used Mercury to spin up a virtual debit card with a small spend limit, and then I let my agent loose. No matter your use case, apply at mercury.com/personal-banking. Timestamps (00:00:00) - What exactly are we scaling? (00:12:36) - Is diffusion cope? (00:29:42) - Is continual learning necessary? (00:46:20) - If AGI is imminent, why not buy more compute? (00:58:49) - How will AI labs actually make profit? (01:31:19) - Will regulations destroy the boons of AGI? (01:47:41) - Why can’t China and America both have a country of geniuses in a datacenter? Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    13 Feb

    •
    2h 22m
  • Are we all going to end up in AI relationships?

    11 FEB

    4

    Are we all going to end up in AI relationships?

    From research to vibe coding to therapy to girlfriends and boyfriends, how are we using AI these days? Let’s do a check-in on one of those topics that inevitably fires everyone up: AI. One person who’s fired up about it is Dexter Thomas of Kill Switch, who joins us to get into the interesting relationships people are forming with AI — for better and (mostly) worse.Our guest is Dexter Thomas, an Emmy Award-winning journalist and host of Kill Switch. You can find Kill Switch wherever you get your podcasts and on YouTube here. Everywhere else, you can follow the show @killswitchpod and follow Dexter @dexdigi.SponsorsGet unlimited premium wireless from Mint Mobile for just $15 a month at https://www.mintmobile.com/courierGet 50% off and free breakfast for a year from Factor by going to https://www.factormeals.com/panic50off and use panic50off at checkout!Want even more Panic World content? Like ad-free episodes, bonus content, and access to the Garbage Day Discord? Sign up for a membership at: https://www.patreon.com/PanicWorld. Learn more about your ad choices. Visit megaphone.fm/adchoices

    11 Feb

    •
    1h 8m
  • Elon Musk — "In 36 months, the cheapest place to put AI will be space”

    5 FEB

    5

    Elon Musk — "In 36 months, the cheapest place to put AI will be space”

    In this episode, John and I got to do a real deep-dive with Elon. We discuss the economics of orbital data centers, the difficulties of scaling power on Earth, what it would take to manufacture humanoids at high-volume in America, xAI’s business and alignment plans, DOGE, and much more. Watch on YouTube; read the transcript. Sponsors * Mercury just started offering personal banking! I’m already banking with Mercury for business purposes, so getting to bank with them for my personal life makes everything so much simpler. Apply now at mercury.com/personal-banking * Jane Street sent me a new puzzle last week: they trained a neural net, shuffled all 96 layers, and asked me to put them back in order. I tried but… I didn’t quite nail it. If you’re curious, or if you think you can do better, you should take a stab at janestreet.com/dwarkesh * Labelbox can get you robotics and RL data at scale. Labelbox starts by helping you define your ideal data distribution, and then their massive Alignerr network collects frontier-grade data that you can use to train your models. Learn more at labelbox.com/dwarkesh Timestamps (00:00:00) - Orbital data centers (00:36:46) - Grok and alignment (00:59:56) - xAI’s business plan (01:17:21) - Optimus and humanoid manufacturing (01:30:22) - Does China win by default? (01:44:16) - Lessons from running SpaceX (02:20:08) - DOGE (02:38:28) - TeraFab Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    5 Feb

    •
    2h 50m
  • The “Covid Moment” For AI?

    11 FEB

    6

    The “Covid Moment” For AI?

    Forget the ChatGPT moment, is this the “Covid Moment” for AI, the moment when everything has changed its just that not everyone knows it yet? More weird musical chairs at the AI companies. TikTok but for around the block. And do we finally have a universal translator but for phone calls? ⁠Something Big Is Happening⁠ (Matt Shumer) ⁠OpenAI Executive Who Opposed ‘Adult Mode’ Fired for Sexual Discrimination⁠ (WSJ) ⁠TikTok launches an opt-in Local Feed in the US leveraging users’ precise location⁠ (TechCrunch) ⁠T-Mobile will live translate regular phone calls without an app⁠ (The Verge) Learn more about your ad choices. Visit megaphone.fm/adchoices

    11 Feb

    •
    21 min
  • Understanding AI Agent Skills, MCP and Custom GPTs/Gems

    27 JAN

    7

    Understanding AI Agent Skills, MCP and Custom GPTs/Gems

    Alex Merced discusses the differences between different ways of customizing agent behavior and when to use which. – Agent Skills– Model Context Protocol (MCP)– Claude Projects/Custom GPTs/Gemini Gems Follow Alex at AlexMerced.com

    27 Jan

    •
    14 min
  • The Evolution of Reasoning in Small Language Models with Yejin Choi

    29 JAN

    8

    The Evolution of Reasoning in Small Language Models with Yejin Choi

    Today, we're joined by Yejin Choi, professor and senior fellow at Stanford University in the Computer Science Department and the Institute for Human-Centered AI (HAI). In this conversation, we explore Yejin’s recent work on making small language models reason more effectively. We discuss how high-quality, diverse data plays a central role in closing the intelligence gap between small and large models, and how combining synthetic data generation, imitation learning, and reinforcement learning can unlock stronger reasoning capabilities in smaller models. Yejin explains the risks of homogeneity in model outputs and mode collapse highlighted in her “Artificial Hivemind” paper, and its impacts on human creativity and knowledge. We also discuss her team's novel approaches, including reinforcement learning as a pre-training objective, where models are incentivized to “think” before predicting the next token, and "Prismatic Synthesis," a gradient-based method for generating diverse synthetic math data while filtering overrepresented examples. Additionally, we cover the societal implications of AI and the concept of pluralistic alignment—ensuring AI reflects the diverse norms and values of humanity. Finally, Yejin shares her mission to democratize AI beyond large organizations and offers her predictions for the coming year. The complete show notes for this episode can be found at https://twimlai.com/go/761.

    29 Jan

    •
    1h 6m
  • Marijuana Industry Interview With Noah Patterson

    17/02/2018

    9

    Marijuana Industry Interview With Noah Patterson

    Key Points: Intro :44  Types of Patients 1:16 Types of Products 2:03 Dosing @og_diggsthc_syrup Secret Recipe 5:50 Acquiring Knowledge 7:04 Be Cautious Of 9:00 Gov't Legalization 11:18 Backend Business Raids 14:53 (Don't Do in Marijuana Bidness) 15:56 Noah Smokin On 17:48 Respected Figure 20:51 Why Noah Stays in industry 23:37 Law Enforcement 24:36 Best Advice 27:35 ShoutOut @Terpthebountyhunter for the interview!

    17/02/2018

    •
    30 min
  • The AI Superbowl

    9 FEB

    10

    The AI Superbowl

    Sam Altman assures staff that OpenAI has a good week, but is Anthropic definitively growing faster at this point? Is the CapEx spend about to eat ALL of Silicon Valley’s free cashflow while Apple sits out the party? And the Crypto.com guy runs the same playbook but now with Ai.com. Sam Altman touts ChatGPT’s reaccelerating growth to employees as OpenAI closes in on $100 billion funding (CNBC) How Capex Ramp Up Will Squeeze Google, Amazon, Meta (The Information) Apple is the only Big Tech company whose capex declined last quarter (Sherwood) A New AI Video Model From ByteDance is Making Waves (PetaPixel) Claude Code is the Inflection Point (SemiAnalysis) Crypto.com CEO unveils new AI agents to millions during Super Bowl (CoinTelegraph) From Svedka to Anthropic, brands make bold plays with AI in Super Bowl ads (TechCrunch) Learn more about your ad choices. Visit megaphone.fm/adchoices

    9 Feb

    •
    21 min

New Shows

  • "AI Plus" Initiative
    Technology
    Technology

    Updated 22 Jan

  • "Computing.... There I was!"
    History
    History

    Updated 1 Feb

  • "Gli androidi sognano pecore elettriche?"
    Technology
    Technology

    Updated 2 days ago

  • #GénérationIA
    Technology
    Technology

    Updated weekly

  • #TechTuesdaysUK Podcast
    Technology
    Technology

    Every two weeks

  • #TechTuesdaysUK Podcast
    Technology
    Technology

    Every two weeks

  • ...и ИИ
    Technology
    Technology

    Updated 6 days ago

Tech News

  • CyberWire Daily
    Tech News
    Tech News

    Updated daily

  • Crypto Critics' Corner
    Tech News
    Tech News

    Updated weekly

  • Hacking Humans
    Tech News
    Tech News

    Updated weekly

  • The Information's TITV
    Tech News
    Tech News

    Updated daily

  • "Radek Kobiałko Nadaje: Technologie, Media i Sztuczna Inteligencja"
    Tech News
    Tech News

    Updated weekly

  • "Οι Άσχετοι"
    Tech News
    Tech News

    Every two weeks

  • #digdeep - Neues aus der digitalen Welt
    Tech News
    Tech News

    Twice monthly

Select a country or region

Africa, Middle East, and India

  • Algeria
  • Angola
  • Armenia
  • Azerbaijan
  • Bahrain
  • Benin
  • Botswana
  • Brunei Darussalam
  • Burkina Faso
  • Cameroun
  • Cape Verde
  • Chad
  • Côte d’Ivoire
  • Congo, The Democratic Republic Of The
  • Egypt
  • Eswatini
  • Gabon
  • Gambia
  • Ghana
  • Guinea-Bissau
  • India
  • Iraq
  • Israel
  • Jordan
  • Kenya
  • Kuwait
  • Lebanon
  • Liberia
  • Libya
  • Madagascar
  • Malawi
  • Mali
  • Mauritania
  • Mauritius
  • Morocco
  • Mozambique
  • Namibia
  • Niger (English)
  • Nigeria
  • Oman
  • Qatar
  • Congo, Republic of
  • Rwanda
  • São Tomé and Príncipe
  • Saudi Arabia
  • Senegal
  • Seychelles
  • Sierra Leone
  • South Africa
  • Sri Lanka
  • Tajikistan
  • Tanzania, United Republic Of
  • Tunisia
  • Turkmenistan
  • United Arab Emirates
  • Uganda
  • Yemen
  • Zambia
  • Zimbabwe

Asia Pacific

  • Afghanistan
  • Australia
  • Bhutan
  • Cambodia
  • 中国大陆
  • Fiji
  • 香港
  • Indonesia (English)
  • 日本
  • Kazakhstan
  • 대한민국
  • Kyrgyzstan
  • Lao People's Democratic Republic
  • 澳門
  • Malaysia (English)
  • Maldives
  • Micronesia, Federated States of
  • Mongolia
  • Myanmar
  • Nauru
  • Nepal
  • New Zealand
  • Pakistan
  • Palau
  • Papua New Guinea
  • Philippines
  • Singapore
  • Solomon Islands
  • 台灣
  • Thailand
  • Tonga
  • Turkmenistan
  • Uzbekistan
  • Vanuatu
  • Vietnam

Europe

  • Albania
  • Armenia
  • Österreich
  • Belarus
  • Belgium
  • Bosnia and Herzegovina
  • Bulgaria
  • Croatia
  • Cyprus
  • Czechia
  • Denmark
  • Estonia
  • Finland
  • France (Français)
  • Georgia
  • Deutschland
  • Greece
  • Hungary
  • Iceland
  • Ireland
  • Italia
  • Kosovo
  • Latvia
  • Lithuania
  • Luxembourg (English)
  • Malta
  • Moldova, Republic Of
  • Montenegro
  • Nederland
  • North Macedonia
  • Norway
  • Poland
  • Portugal (Português)
  • Romania
  • Россия
  • Serbia
  • Slovakia
  • Slovenia
  • España
  • Sverige
  • Schweiz
  • Türkiye (English)
  • Ukraine
  • United Kingdom

Latin America and the Caribbean

  • Anguilla
  • Antigua and Barbuda
  • Argentina (Español)
  • Bahamas
  • Barbados
  • Belize
  • Bermuda
  • Bolivia (Español)
  • Brasil
  • Virgin Islands, British
  • Cayman Islands
  • Chile (Español)
  • Colombia (Español)
  • Costa Rica (Español)
  • Dominica
  • República Dominicana
  • Ecuador (Español)
  • El Salvador (Español)
  • Grenada
  • Guatemala (Español)
  • Guyana
  • Honduras (Español)
  • Jamaica
  • México
  • Montserrat
  • Nicaragua (Español)
  • Panamá
  • Paraguay (Español)
  • Perú
  • St. Kitts and Nevis
  • Saint Lucia
  • St. Vincent and The Grenadines
  • Suriname
  • Trinidad and Tobago
  • Turks and Caicos
  • Uruguay (English)
  • Venezuela (Español)

The United States and Canada

  • Canada (English)
  • Canada (Français)
  • United States
  • Estados Unidos (Español México)
  • الولايات المتحدة
  • США
  • 美国 (简体中文)
  • États-Unis (Français France)
  • 미국
  • Estados Unidos (Português Brasil)
  • Hoa Kỳ
  • 美國 (繁體中文台灣)

Copyright © 2026 Apple Inc. All rights reserved.

  • Internet Service Terms
  • Apple Podcasts web player & Privacy
  • Cookie Warning
  • Support
  • Feedback

To listen to explicit episodes, sign in.

Apple Podcasts

Stay up to date with this show

Sign in or sign up to follow shows, save episodes and get the latest updates.

Select a country or region

Africa, Middle East, and India

  • Algeria
  • Angola
  • Armenia
  • Azerbaijan
  • Bahrain
  • Benin
  • Botswana
  • Brunei Darussalam
  • Burkina Faso
  • Cameroun
  • Cape Verde
  • Chad
  • Côte d’Ivoire
  • Congo, The Democratic Republic Of The
  • Egypt
  • Eswatini
  • Gabon
  • Gambia
  • Ghana
  • Guinea-Bissau
  • India
  • Iraq
  • Israel
  • Jordan
  • Kenya
  • Kuwait
  • Lebanon
  • Liberia
  • Libya
  • Madagascar
  • Malawi
  • Mali
  • Mauritania
  • Mauritius
  • Morocco
  • Mozambique
  • Namibia
  • Niger (English)
  • Nigeria
  • Oman
  • Qatar
  • Congo, Republic of
  • Rwanda
  • São Tomé and Príncipe
  • Saudi Arabia
  • Senegal
  • Seychelles
  • Sierra Leone
  • South Africa
  • Sri Lanka
  • Tajikistan
  • Tanzania, United Republic Of
  • Tunisia
  • Turkmenistan
  • United Arab Emirates
  • Uganda
  • Yemen
  • Zambia
  • Zimbabwe

Asia Pacific

  • Afghanistan
  • Australia
  • Bhutan
  • Cambodia
  • 中国大陆
  • Fiji
  • 香港
  • Indonesia (English)
  • 日本
  • Kazakhstan
  • 대한민국
  • Kyrgyzstan
  • Lao People's Democratic Republic
  • 澳門
  • Malaysia (English)
  • Maldives
  • Micronesia, Federated States of
  • Mongolia
  • Myanmar
  • Nauru
  • Nepal
  • New Zealand
  • Pakistan
  • Palau
  • Papua New Guinea
  • Philippines
  • Singapore
  • Solomon Islands
  • 台灣
  • Thailand
  • Tonga
  • Turkmenistan
  • Uzbekistan
  • Vanuatu
  • Vietnam

Europe

  • Albania
  • Armenia
  • Österreich
  • Belarus
  • Belgium
  • Bosnia and Herzegovina
  • Bulgaria
  • Croatia
  • Cyprus
  • Czechia
  • Denmark
  • Estonia
  • Finland
  • France (Français)
  • Georgia
  • Deutschland
  • Greece
  • Hungary
  • Iceland
  • Ireland
  • Italia
  • Kosovo
  • Latvia
  • Lithuania
  • Luxembourg (English)
  • Malta
  • Moldova, Republic Of
  • Montenegro
  • Nederland
  • North Macedonia
  • Norway
  • Poland
  • Portugal (Português)
  • Romania
  • Россия
  • Serbia
  • Slovakia
  • Slovenia
  • España
  • Sverige
  • Schweiz
  • Türkiye (English)
  • Ukraine
  • United Kingdom

Latin America and the Caribbean

  • Anguilla
  • Antigua and Barbuda
  • Argentina (Español)
  • Bahamas
  • Barbados
  • Belize
  • Bermuda
  • Bolivia (Español)
  • Brasil
  • Virgin Islands, British
  • Cayman Islands
  • Chile (Español)
  • Colombia (Español)
  • Costa Rica (Español)
  • Dominica
  • República Dominicana
  • Ecuador (Español)
  • El Salvador (Español)
  • Grenada
  • Guatemala (Español)
  • Guyana
  • Honduras (Español)
  • Jamaica
  • México
  • Montserrat
  • Nicaragua (Español)
  • Panamá
  • Paraguay (Español)
  • Perú
  • St. Kitts and Nevis
  • Saint Lucia
  • St. Vincent and The Grenadines
  • Suriname
  • Trinidad and Tobago
  • Turks and Caicos
  • Uruguay (English)
  • Venezuela (Español)

The United States and Canada

  • Canada (English)
  • Canada (Français)
  • United States
  • Estados Unidos (Español México)
  • الولايات المتحدة
  • США
  • 美国 (简体中文)
  • États-Unis (Français France)
  • 미국
  • Estados Unidos (Português Brasil)
  • Hoa Kỳ
  • 美國 (繁體中文台灣)