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Inside OpenAI's First Venture Round (Khosla), AI Leaderboards, and Regulatory Chess Games
Manage episode 443645527 series 3603052
Turpentine, Keith Rabois, Logan Bartlett, Zach Weinberg, Kevin Ryan, Keith Rabois, Logan Bartlett, Zach Weinberg, and Kevin Ryan에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Turpentine, Keith Rabois, Logan Bartlett, Zach Weinberg, Kevin Ryan, Keith Rabois, Logan Bartlett, Zach Weinberg, and Kevin Ryan 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
This is the second episode of This Won’t Last. The show is a monthly conversation between Logan Bartlett of Redpoint, Keith Rabois at Khosla Ventures, Kevin Ryan at Alleycorp, and Zach Weinberg, biotech founder (Curie.Bio) and investor. This episode covers Khosla’s initial investment into OpenAI, runaway AI CapEx, long-term AI leaderboards, and regulatory implications in AI.
This Won't Last is part of the Turpentine podcast network.
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Subscribe on YouTube:
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Apple: https://podcasts.apple.com/us/podcast/id1786227593
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Links:
- OpenAI and Anthropic revenue data: https://www.tanayj.com/p/openai-and-anthropic-revenue-breakdown
- Anthropic CEO on future $10B model: https://www.dwarkeshpatel.com/p/dario-amodei
- Hardware costs in Scaling AI: https://fortune.com/2024/04/04/ai-training-costs-how-much-is-too-much-openai-gpt-anthropic-microsoft/
- Comparing Quality/Speed/Price of AI models: https://artificialanalysis.ai/
- CA banning election deep fakes on social media: https://techcrunch.com/2024/09/17/californias-5-new-ai-laws-crack-down-on-election-deepfakes-and-actor-clones/
- Life expectancy relative to spending in Healthcare: https://ourworldindata.org/grapher/life-expectancy-vs-health-expenditure
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Timestamps:
(00:00) Intro
(01:39) Show origins
(02:39) OpenAI funding, Khosla’s initial investment
(06:40) Talent shortage and power law engineers
(11:47) Engineer tenure at startups
(15:12) OpenAI metrics
(19:26) AI CapEx
(25:01) Zach’s Pixel vs iPhone
(25:36) OpenAI vs Perplexity and Google
(32:03) Safety concerns in AI
(40:38) Misinformation regulation
(46:38) Regulations in healthcare
(48:44) Gambling regulations
(58:49) Hidden downsides of regulations
(01:03:59) Individual responsibilities
(01:13:33) Closing
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