Sinofsky和Casado深入探讨了AI和计算领域的变化，了解他们如何影响初创公司和行业格局。
Steven Sinofsky和Martin Casado讨论了计算领域从工程导向转变为资本导向的变化，20人可高效利用10亿美元，AI解决了初创公司规模限制的发行问题，挑战者首次与微软和Meta站在同一起跑线上。探讨了数学家为何支持自动化、历史上计算领域的AI恐慌以及无法预测200亿美元模型的能力。
Your startup intuitions were trained on a world that no longer exists. Steven Sinofsky and Martin C...
Your startup intuitions were trained on a world that no longer exists. Steven Sinofsky and Martin Casado have watched computing flip from an engineering-bound field to a capital-bound industry. Twenty people can now put a billion dollars to work productively, AI solves the distribution problem that kept startups small, and challengers sit on a level playing field with Microsoft and Meta for the first time. With Erik Torenberg, they get into why some mathematicians are cheering on their own automation, every AI panic that already happened in past eras of computing, and why nobody can predict the capabilities of a model built with $20 billion. 00:55 Why mathematicians love being automated 02:45 Is AI math worth any money? 08:50 The first proof humans couldn't check 14:35 Computing before electricity 19:50 How IBM explained computers in 1953 26:00 The failed computer that birthed the web 27:50 When Harvard banned computers from exams 30:20 Is AI just another abstraction layer? 38:15 When 20 people can spend $1B productively 42:50 The zero-sum VC myth 46:25 Disruption is physics, not business school 53:25 The chip Intel called a printer part 55:05 What a $20B model can do 59:45 What Martin got wrong about AI risk YouTube: youtube.com/watch?v=GHPB1M… @stevesi @martin_casado @eriktorenberg Your browser does not support the video tag. 🔗 View on Twitter 💬 5 🔄 2 ❤️ 30 👀 5925 📊 10 ⚡