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Jonathan Ross: DeepSeek Special - How Should OpenAI and the US Government Respond | E1253

Jonathan Ross is the Co-Founder and CEO of Groq, providing fast AI inference. Prior to founding Groq, Jonathan started Google’s TPU effort where he designed and implemented the core elements of the original chip.

Harry StebbingshostJonathan Rossguest
Jan 29, 20251h 0mWatch on YouTube ↗

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Episode Details

EPISODE INFO

Released
January 29, 2025
Duration
1h 0m
Channel
The Twenty Minute VC
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Jonathan Ross is the Co-Founder and CEO of Groq, providing fast AI inference. Prior to founding Groq, Jonathan started Google’s TPU effort where he designed and implemented the core elements of the original chip. Jonathan then joined Google X’s Rapid Eval Team, the initial stage of the famed “Moonshots factory,” where he devised and incubated new Bets (Units) for Alphabet. ---------------------------------------------- Timestamps: (00:00) Intro (02:01) Is DeepSeek News as Big a Deal as It Seems? (04:33) Distillation & DeepSeek's Use of OpenAI Data (07:18) Scraping OpenAI Models for Higher Quality Output (11:40) Concerns About US Customer Data Going to China (13:08) DeepSeek and Its Potential Use by the CCP (23:13) Is DeepSeek Diminishing OpenAI's Distribution Advantage? (33:07) Advising the EU on Europe's Stance Today (34:48) Perplexity in 3 Years (37:22) Commoditization of Models & Big Tech's Stock Struggles (41:01) Nvidia's High Margins and the Strength of Their Moat (42:55) The Future of Efficiency After Nvidia's Success (49:50) The $500BN Stargate Project (54:01) Excitement or Nerves in the AI Arms Race? (57:54) Where Does Value Accrue in Wrapper Apps & Foundation Models? ---------------------------------------------- The 10 Most Important Questions on DeepSeek:

  • How did DeepSeek innovate in a way that no other model provider has done?
  • Do we believe that they only spent $6M to train R1?
  • Should we doubt their claims on limited H100 usage? Is Josh Kushner right that this is a potential violation of US export laws?
  • Is DeepSeek an instrument used by the CCP to acquire US consumer data?
  • How does DeepSeek being open-source change the nature of this discussion?
  • What should OpenAI do now? What should they not do?
  • Does DeepSeek hurt or help Meta who already have their open-source efforts with Lama?
  • Will this market follow Satya Nadella’s suggestion of Jevon’s Paradox?
  • How much more efficient will foundation models become?
  • What does this mean for the $500BN Stargate project announced last week?

----------------------------------------------- Subscribe on Spotify: https://open.spotify.com/show/3j2KMcZTtgTNBKwtZBMHvl?si=85bc9196860e4466 Subscribe on Apple Podcasts: https://podcasts.apple.com/us/podcast/the-twenty-minute-vc-20vc-venture-capital-startup/id958230465 Follow Harry Stebbings on Twitter: https://twitter.com/HarryStebbings Follow Jonathan Ross on Twitter: https://twitter.com/JonathanRoss321 Follow 20VC on Instagram: https://www.instagram.com/20vchq Follow 20VC on TikTok: https://www.tiktok.com/@20vc_tok Visit our Website: https://www.20vc.com Subscribe to our Newsletter: https://www.thetwentyminutevc.com/contact ----------------------------------------------- #20vc #harrystebbings #jonathanross #groq #founder #CEO #venturecapital #startups #deepseek #openai #ai #samaltman #trump

SPEAKERS

  • Harry Stebbings

    host
  • Jonathan Ross

    guest

EPISODE SUMMARY

In this episode of The Twenty Minute VC, featuring Harry Stebbings and Jonathan Ross, Jonathan Ross: DeepSeek Special - How Should OpenAI and the US Government Respond | E1253 explores DeepSeek’s Sputnik Moment: Open Source AI, China, and Global Power Jonathan Ross argues that China’s DeepSeek R1 release is a “Sputnik 2.0” moment, proving that frontier AI models are now effectively commoditized and can be trained far more cheaply using better data and clever architectures. He explains how DeepSeek leveraged distillation and mixture‑of‑experts (MoE) to match or approach Western model quality while spending relatively little on GPU training, likely using OpenAI itself as a data teacher.

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