Skip to content
HomeVideos
AllLongsCategoriesPlaylists
BooksBlogsPodcasts
HistoryListsWatch laterLiked videosFollowing

The videos, books, blogs and podcasts Hacker News keeps recommending, all in one place.

VideosBooksBlogsPodcastsAboutPrivacySettings

Data from Hacker News, HackerTube, HackerBooks, HackerBlogs and Open Library. Credits · Not affiliated with Y Combinator.

HomeVideosBooksBlogsPodcasts
Ctrl K

    Jensen Huang – Will Nvidia’s moat persist?

    Dwarkesh Patel

    4 HN mentions · mentioned in 3 months, 2026

    YouTube

    1:43:13 · 997K views · Apr 15, 2026

    Dwarkesh Patel interviews Nvidia CEO Jensen Huang about whether Nvidia's moat will last. Topics include TPU competition, supply chain bottlenecks, selling AI chips to China and Nvidia's investments.

    HN cites it for Huang's own words on TPUs and on opposing export restrictions to China.

    Business, Startups & EconomicsTech industry & business modelsComputer architecture & CPUsGeopolitics & foreign policy
    1. 3:29:25
      THE NVIDIA AI GPU BLACK MARKET | Investigating Smuggling, Corruption, & GovernmentsGamers Nexus3.5M views • 1 year ago
    2. 2:03:05
      GTC March 2024 Keynote with NVIDIA CEO Jensen HuangNVIDIA27M views • 2 years ago
    3. 1:31:41
      Morris Chang, in conversation with Jen-Hsun HuangComputer History Museum159K views • 18 years ago
    4. 3:28:54
      COLLAPSE of Personal Computing | Investigation Into the Destruction of OwnershipGamers Nexus3.2M views • 5 months ago
    5. 1:05:28
      HC2023-K2: Hardware for Deep Learninghotchipsvideos15K views • 3 years ago
    6. 2:58:24
      The Death of Affordable Computing | Tariffs Impact & InvestigationGamers Nexus2.3M views • 1 year ago
    7. 34:51
      Intel - Anti-Competitive, Anti-Consumer, Anti-Technology.AdoredTV257K views • 9 years ago
    8. 1:02:42
      Preventing the Collapse of Civilization / Jonathan Blow (Thekla, Inc)DevGAMM316K views • 7 years ago
    9. 1:10:58
      Trends in Deep Learning Hardware: Bill Dally (NVIDIA)Paul G. Allen School32K views • 2 years ago
    10. 1:02:04
      Gabe Newell: On Productivity, Economics, Political Institutions, and the Future of Corporationsblogphilofilms717K views • 13 years ago
    11. 1:49:22
      The Future is a Dead Mall - Decentraland and the MetaverseFolding Ideas8.2M views • 3 years ago
    12. 45:38
      BlueHat IL 2019 - Andrew "bunnie" Huang - Supply Chain Security: "If I were a Nation State...”Microsoft Israel R&D Center21K views • 7 years ago
    13. 37:16
      Eric Schmidt and Peter Thiel - Fortune Debate, 2012kykeon208K views • 11 years ago
    14. 2:18:23
      Line Goes Up – The Problem With NFTsFolding Ideas19M views • 4 years ago
    15. 15:52
      The Four Horsemen: Amazon/Apple/Facebook & Google - Who Wins/Loses (Scott Galloway, L2 Inc.) | DLD15DLD Conference1.2M views • 11 years ago
    16. 21:08
      Lina Khan – FTC Chair on Amazon Antitrust Lawsuit & AI Oversight | The Daily ShowThe Daily Show3.1M views • 2 years ago
    17. 14:30
      I have some things to say - Core i9 & X299Linus Tech Tips2.8M views • 9 years ago
    18. 31:06
      Jim Keller - Moore's Law in the age of AI ChipsMatroid33K views • 6 years ago
    19. 2:26:08
      Andrej Karpathy — “We’re summoning ghosts, not building animals”Dwarkesh Patel1.5M views • 1 year ago
    20. 25:42
      The Man behind Stable DiffusionYannic Kilcher146K views • 4 years ago

    4 comments from Hacker News

    1. @jmyeetMay 2026· in “The US Is Winning the AI Race”

      Back in the dot-com bubble, people started inventing new metrics to "value" dot-com companies that lost money hand over fist. My favorite was "revenue multiples". So instead of a a P/E ratio, it was just a multiple of revenue no matter how much money you lost. We've invented a new term here too: revenue backlog. OpenAI and Anthropic in particular need to recover probably at least $2 trillion to recoup their capex investments. Now Claude code has had an impact on software engineering but for a lot of AI uses you're just not going to recover $2T on $20/month subscriptions. It reminds me of Twitter trying to dig itself out of a $44B hole and losing half their ad revenue with $8/month blue ticks. The only commercial product AI sells is labor displacement and the resulting wage suppression. You lay off 10-20% of your staff and nobody is asking for raises. The people left are happyt o still have jobs (and thus a house). They'll work even harder doing unpaid labor of the displaced workers to keep those jobs. That's what OpenAI and Anthropic are selling. The problem is that if these companies get their way, 10-20% of the population is going to be out-of-work and society is going to fall apart. Data centers are going to be the targets of increased societal desperation and anger as this gets worse. There was a report this week that roughly 50% of singles in the US aren't dating because they can't afford to [1]. This goes well beyond the well-understood problems of not being able to aff

      CitesView on HN
    2. @jmyeetMay 2026· in “Mistral's CEO: Europe has 2 years to stop becoming America's AI 'vassal state'”

      The China example was such a massive blunder (from the perspective of US soft power). Like you say, it created a captive market for Chinese chips where Chinese companies might've otherwise bought foreign chips. That's inbuilt demand. But China also has something Europe doesn't and that's central planning. China has realized that chipmaking and AI are issues of national security. Europe just doesn't have that level of governance and forethought. Within 5 years China will be producing their own EUV chips despite the ASML export ban. And you know who realizes all this? The Nvidia CEO [1][2]. There is now a 70 year history of Europe being designed as and becoming comfortable with being a US vassal state, from the end of WW2 to Bretton-Woods, the Marshall Plan and NATO. I don't see fascist takeovers in the UK, France or Germany as changing any of this. If anything, it'll just fracture any semblance of European unity. It'll be the enemy within as those forces will be most aligned with the US. [1]: [LINK] [2]: this video

      CitesView on HN
    3. @girfanJul 2026· in “Our position on open-weights models”

      If nothing else, Anthropic has explicitly acknowledged the threat to its moat and that the margin is thin between its models and open-weight models. I'd take that as a win for open-weight models. Good luck preventing distillation and limiting the supply of accelerators to China when Jensen himself is a strong opponent of any such barriers [1]. [1] this video

      CitesView on HN
    4. @gardnrJun 2026· in “LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active”

      Dwarkesh Patel has AI/ML guests on his podcast. BoorishBears may have been referring to the Jensen Huang episode where they discuss TPUs: this video

      CitesView on HN