인기 과학 기술 팟캐스트

Lenny's Podcast: Product | Career | Growth

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Lenny's Podcast: Product | Career | Growth

Lenny Rachitsky
Acquired

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Acquired

Ben Gilbert and David Rosenthal
All-In with Chamath, Jason, Sacks & Friedberg

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All-In with Chamath, Jason, Sacks & Friedberg

All-In Podcast, LLC
Uncapped with Jack Altman

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Uncapped with Jack Altman

Alt Capital
Hard Fork

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Hard Fork

The New York Times
Lex Fridman Podcast

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Lex Fridman Podcast

Lex Fridman
Dwarkesh Podcast

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Dwarkesh Podcast

Dwarkesh Patel

1일 전

DLSS 5 explained, with Linus Tech Tips

Nvidia's new DLSS 5 (Deep Learning Super Sampling 5) rendering technology uses AI to (theoretically) improve video game graphics. When it was announced, social media declared that it was "yassifying" video game characters, changing faces in a way game developers didn't intend. Linus Tech Tips' own Linus Sebastian and David Gauthier join guest host David Imel to break down the the hype and controversy. Further reading: The Beats 360 are what I’d bring to the gym if I hated earbuds Peloton is back with a ‘cheaper’ folding treadmill Whoop and Peloton integration is finally here Xbox is barely Xbox anymore Apple’s first live music venue is opening beneath its UK headquarters Nvidia’s DLSS 5, explained DLSS 5: Has Nvidia’s AI graphics technology gone too far? DLSS 5 looks like a real-time generative AI filter for video games 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
5일 전

A.I. Safety Goes Mainstream + a ‘Hard Fork’ Exit AMA

This week, we break down why everyone is suddenly talking about A.I. safety, why frontier A.I. companies are asking for regulation and why the Trump administration is rejecting them. And then, to close out this chapter of “Hard Fork,” we answer all your questions about the show, tech and what’s happening next. Additional Reading: The A.I. Researcher Whose Rebellion Is Changing EverythingTop A.I. Leaders Call for Slowing Down A.I. DevelopmentPresident Trump Is on the Line About an A.I. SlowdownMark Zuckerberg Takes Aim at Anthropic in Debate Over A.I. SlowdownThe ‘But China!’ Dilemma Driving the A.I. Race 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, Spotify and Amazon Music. 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.
9월 14일

The Home Depot

The Home Depot's founding story is like an Avengers movie… if the Avengers got fired, went broke, and stacked empty paint cans ten feet high to look legitimate. After being unceremoniously fired from their previous hardware chain at ages 48 and 35, Bernie Marcus and Arthur Blank took the words of their New York banker Ken Langone (who had also just accidentally caused their firings) to heart: they'd just been "kicked in the ass with a golden horseshoe.” They proceeded to author the greatest compounding story in American retail history, helped by some legendary cameos along the way from Sol Price, Jamie Dimon, and Ross Perot (to name a few). And the ending is as good as any superhero film: from its 1981 IPO to today, The Home Depot has been the single highest-returning equity in the entire US stock market — higher than Apple, Microsoft, Berkshire Hathaway, and everything else! Sponsors: Many thanks to our fantastic Fall '26 Season partners: SierraWorkOSAnthropicSentryLinks: 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 Home Depot Companion PDFOur Visual Artifacts page for Home DepotBuilt from Scratch by Bernie Marcus and Arthur BlankKick Up Some Dust by Bernie MarcusThe Board Wore Chicken Suits by Joe Nocera, The New York TimesFrank Blake on Invest Like the BestKen Langone's interview with Arvind NavaratnamWorldly Partners' Multi-Decade Home Depot StudyAll episode sourcesCarve Outs: Silo Season 3Tires Season 3Ratio 8 Coffee MakerTrade CoffeeQuarterbackComedianMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00:00 Start00:00:43 Intro00:05:32 Bernie Marcus's Early Career and meeting Arthur Blank (1972)00:15:58 Ken Langone & Handy Dan (1970s)00:33:08 Ken Buys Handy Dan, Bernie & Arthur Fired00:43:55 Ross Perot Almost Buys Home Depot00:51:20 Pat Farrah & The HomeCo Interlude01:05:03 First Stores & Early Model (1979)01:14:16 Home Depot Goes Public & Expands (1981)01:24:35 Home Depot's Unique Operating System01:46:01 Arthur Blank Takes CEO & Early Cracks (1997)01:56:07 The Bob Nardelli Era (2000-2007)02:12:09 Nardelli's Public Downfall & Firing (2006-2007)02:24:24 Frank Blake's Turnaround: Crisis & Culture (2007)02:42:30 E-commerce & Distribution Revolution02:59:57 Home Depot Today: Pro & DIY (2024)03:12:04 Analysis: The Paradox of Specialness03:16:18 7 Powers: Home Depot's Competitive Advantages03:19:17 Quintessence: Why It Got So Big03:26:27 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.
9월 9일 · 비디오

Apple Event — September 9

Tune in to learn about iPhone Duo and iPhone 18 Pro. Plus Apple Watch Series 12, Apple Watch Ultra 4, and AirPods 5.
6일 전

Noam Brown – Agent swarms, alignment, & recursive self-improvement

New episode with Noam Brown. We talk about multi-agent, Navier-Stokes, and what the current explosion of maths progress tells us about what happens once you automate AI research. And we also discuss how we will know if the models are actually aligned before we kick off RSI. Watch on YouTube; read the transcript. Sponsors * Jane Street has been interested in AI for a lot longer than you’d think, and not just for trading. In 2011, a full year before AlexNet and over a decade before ChatGPT launched, they hosted the first FOOM Debate between Eliezer Yudkowsky and Robin Hanson on whether AI would lead to an intelligence explosion. Now Jane Street is revisiting the question with a new panel: Daniel Kokotajlo, Ege Erdil, Ryan Greenblatt, and Jaime Sevilla, hosted by Ron Minsky in San Francisco this October. I expect it to be a truly excellent conversation. Register at janestreet.com/dwarkesh * Grok Bot has made handing off work super easy. It runs on its own cloud computer, where it installs the tools it needs to handle tasks end-to-end. For the podcast, we use Grok Bot to help produce our videos. You may have noticed that our ads feature animations of real websites. Getting these pixel-perfect used to mean running a convoluted, multi-step workflow ourselves. Now we just let Grok Bot handle it. Best of all, Grok Bot has learned all of our specs and preferences, so we don’t have to redescribe the task each time! Try Grok Bot for yourself at x.ai/bot * Antithesis gives you the confidence of a giant test suite without actually having to write one. Say you’re doing a major backend refactor: building enough tests to trust it could take weeks. Antithesis solves this by running your software through countless simulated worlds, injecting faults and hunting for failures. On any PR, you can turn a dial to decide exactly how much testing you want. And because every run is fully deterministic, agents can branch off the moment a bug appears, rewind it, inspect memory, and replay it, all while the original test keeps running. Learn more at antithesis.com/dwarkesh Timestamps (00:00:00) – Multi-agent and Navier-Stokes (00:15:28) – How will AI firms work? (00:22:02) – What math progress tells us about recursive self improvement (00:40:22) – Hugging Face and alignment (01:01:18) – The internal/external model gap (01:08:34) – Chain of thought is degrading (01:14:12) – How will we know when alignment is solved? This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com
5일 전

Big mysteries explained through your senses

Our senses help us navigate everyday life. But can they also reveal what lies beyond our perception? This hour, TED speakers explore the hidden world through the senses. Guests include astronomer Mark Whittle, chemosensory researcher Paule Joseph and artist Yiyun Kang. Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show’s perks include 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
9월 17일

#502 – Psychiatry, Insane Asylums, Mental Illness, ECT, Lobotomies, Freud & Jung

Andrew Scull is a historian of psychiatry. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep502-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/andrew-scull-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Andrew’s Website (UCSD faculty page): https://sociology.ucsd.edu/people/faculty/emeritus/andrew-scull.html Desperate Remedies (book): https://amzn.to/4vmBquI Madness in Civilization (book): https://amzn.to/3SZhd0I SPONSORS: To support this podcast, check out our sponsors & get discounts: Wispr Flow: AI-powered voice dictation app. Go to https://wisprflow.ai/lex Fin: AI agent for customer service. Go to https://fin.ai/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Shopify: Sell stuff online. Go to https://shopify.com/lex BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:07) – Sponsors, Comments, and Reflections (08:10) – Crisis in Psychiatry (37:48) – Categories of Mental Illness (45:07) – Asylums, Eugenics, and the Nazis (57:13) – The Ice Pick Lobotomy (1:03:26) – Malaria “Cure” for Syphilis (1:21:42) – Insulin Coma Therapy (1:29:34) – Electroconvulsive Therapy (ECT) (1:49:03) – One Flew Over the Cuckoo’s Nest (2:06:35) – Freud and Psychoanalysis (2:36:30) – WWII and Cognitive behavioral therapy (CBT) (2:57:04) – Antipsychotics (3:20:24) – Antidepressants (3:33:18) – Future of Psychiatry PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podcast/ – Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 – Clips Channel: https://www.youtube.com/lexclips
15시간 전

1041: What are normies using AI for?

Scott and Wes talk about how non-developers are actually using AI today. They also cover the stuff they don’t think holds up, like AI-staged listings and automated marketing. Show Notes 00:00 Intro 00:38 Welcome to Syntax! Wes’ post about using AI 01:50 Finding Parts With AI: Van Buckles and Weird Bolts 03:59 Brought to you by Sentry! 04:37 Fixing Printers, Drivers, and Annoying Home Network Stuff Skylight Calendar 05:32 Rescuing E-Waste: Flashing a Broken Skylight Calendar 08:42 Red Tape, Permits, and Filling Out Awful PDF Forms 09:57 Self-Hosting Made Easy: Updating Your NAS and Docker Containers 11:18 Fighting Home Assistant Rot With Agents 13:20 Inbox and Calendar Management for a Family of Six 18:05 AI in Real Estate and Property Staging Real Estate Canada subreddit 21:10 Using Agents for Video Editing and Multicam Automation 23:53 GFX.computer: Building Better Infographics 25:59 Things That Won’t Hold Up: Generated Text and Automated Marketing 30:27 Home Lab Management Over Tailscale and SSH 32:46 3D Printing Parts With Nurb: Stands, Cases, and Airflow Nurb 34:51 MCP Servers for Software You Only Use Occasionally 36:58 Travel Planning: Great at Logistics, Terrible at Taste 39:31 Proposals and Job Applications: Everybody Sounds the Same 42:14 Sick Picks + Shameless Plugs Sick Picks Scott: Nomadix Backpack Wes: Silicone chair socks Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads
3일 전

90 minutes of unfiltered product advice from Snap and Discord’s product chief | Peter Sellis

Peter Sellis was the first product manager at Snapchat, where he spent seven years building one of the most beloved consumer products in history. He went on to serve as Head of Product at Discord, where he helped drive some of the fastest user growth the platform had seen. Having left his role at Discord, he gets to be especially real and unfiltered — nothing to promote, no PR, no comms team. In our in-depth conversation, we discuss: 1. Why Peter designs teams like . . . terrorist organizations 2. What it was really like to manage Nikita Bier 3. Why the median PM is so bad 4. Why Snapchat’s ads business never reached its potential 5. Why growth almost always comes from the core product 6. Peter’s three “oxymorons” of great product management — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Mercury—Radically different banking, now with Command — Episode transcript: https://www.lennysnewsletter.com/p/90-minutes-of-unfiltered-product — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Peter Sellis: • X: https://x.com/petersellis • LinkedIn: https://www.linkedin.com/in/disgruntled • Website: https://pjs.lol — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction (02:48) Why Peter avoided podcasts until now (05:44) Designing teams like terrorist organizations (10:35) Cult versus terrorist org: the key distinction (11:19) Managing Nikita Bier (12:56) Building orgs that handle spiky talent (15:16) Why the median PM is probably bad (18:28) Is the PM profession getting better? (20:49) Snap’s three ads monetization challenges (25:03) Snap’s underrated product track record (27:57) Systems thinking (32:19) Instagram copying Snapchat’s worst features (33:32) Software moats (35:27) Taste, museum curators, and the art of saying no (40:05) OpenAI, ads, and the trust auction mechanism (46:25) Counterintuitive lesson: ride your best people hard (50:13) Why collaboration is often overrated (50:50) Growth lives in the core product (57:50) When to bet on something genuinely new (01:02:18) SpaceX and sunsetting the Falcon 9 (01:07:01) Ambition as a learnable muscle (01:10:26) Long-term greedy: the ads philosophy (01:13:36) The Core Product Value framework (01:16:33) The three oxymorons of a great PM (01:20:29) Contrarian corner (01:26:00) Lightning round and final thoughts — References: https://www.lennysnewsletter.com/p/90-minutes-of-unfiltered-product — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
9월 11일

AI researchers debate how close we are to recursive self-improvement

New episode with John Schulman, Beren Millidge and Charlie O’Neill. I got together with some of the most insightful AI researchers I know who are at the openish companies, because I wanted to hear the details of what's actually happening at the frontier and what comes next. Watch on YouTube; read the transcript. Sponsors * Antithesis helps you trust your code. As agents generate more and more of your software, the bottleneck shifts from your engineers actually writing code to verifying it. Antithesis does that testing for you. Ron Minsky, who co-leads Jane Street’s tech group, told me that Antithesis was able to help his team shake out bugs in software that had already undergone heavy review. If you want to see how it fits into your development process, go to antithesis.com/dwarkesh * Grok Bot has been a great way to hand off tasks. My team uses it as a producer: whenever my editor posts a rough cut of an interview in Slack, Grok Bot opens the transcript on its own computer, matches my notes to the exact moments they refer to, and uses a file of my preferences to suggest edits. Then it sends me its top clip candidates so I can review everything from my phone, which saves my editors from sorting through hours of footage. Try Grok Bot for yourself at x.ai/bot * Jane Street just launched its most ambitious competition yet: design a protocol-emulator ASIC. Basically, if you have a chip you want to test outside of a live system, you should be able to connect it to your design and have it simulate realistic traffic. Jane Street wants general-purpose, reprogrammable designs that can work across multiple protocols and remain useful as new ones emerge. The most novel submissions will actually get taped out, and the winners will receive a physical copy! The competition is open until January 18, 2027, and teams are encouraged. To get started download the template code at janestreet.com/dwarkesh Timestamps (00:00:00) – Steelmanning the case against RSI (00:18:39) – What’s driving the Chinese labs’ progress (00:28:06) – How will automated AI researchers be trained (00:33:51) – Will long-horizon RL elicit AGI? (00:45:24) – The sim-to-real gap (01:00:33) – How much progress is explained by data? (01:18:03) – Why is RL working so well? (01:24:54) – Move 37 and entropy collapse (01:28:32) – Rapid-fire timelines This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com

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