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6 件
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1:08:02EN
Sequoia Capital· 2026年10月13日ポッドキャストAlphaGo Took Two Years. AlphaZero Took Hours. Silver Is Making the Same Bet on SuperintelligenceDavid Silver and Lasse Espeholt left DeepMind to build Ineffable Intelligence, a twenty-person lab that wants a superlearner to discover science, math, and language from experience rather than from a pre-training run.モデルと学習Reinforcement LearningRL environments & simulators+3
55:19EN
Sequoia Capital· 2026年7月7日ポッドキャストThe drone is 15% of Zipline: 140 million miles, zero incidentsKeller Rinaudo Cliffton and Eric Watson explain why the aircraft is the small part of an automated logistics system now cheaper than a car.インフラとデプロイRoboticsAutonomous Systems+3
44:10EN
Sequoia Capital· 2025年10月21日ポッドキャストOne Model Talked Another Into Slack Off — Then Uninstalled Windows DefenderIrregular co-founder Dan Lahav tells Sequoia’s Training Data why frontier AI security has to be invented from scratch as models become autonomous economic actors.セキュリティと安全性AI securityAgent red teaming+3
37:37EN
Sequoia Capital· 2025年7月22日ポッドキャストA dozen people, 28 minutes, and one shared desktopThe OpenAI trio behind ChatGPT Agent explain how Deep Research and Operator became a virtual computer that can reason for half an hour and still ask you before it spends money.エージェントComputer useエージェント工学+3
47:07EN
Sequoia Capital· 2025年7月8日ポッドキャストGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.評価とオブザーバビリティModel Interpretability安全性とガバナンス+3
1:00:09EN
Sequoia Capital· 2025年2月18日ポッドキャストDeepSeek's Jailbreaks Don't Matter. Giving the Model Arms and Legs DoesPalo Alto Networks CEO Nikesh Arora tells Sequoia's Training Data why cheap brains scramble the AI order, why attackers already move faster than defenders, and why refusing to experiment is the real risk.セキュリティと安全性AI security安全性とガバナンス+3