claude just generated this 2 minute video about the history of Google and it goes so goddamn hard
X:Jeff Dean
@jeffdean · X
切换来源
Jeff Dean@JeffDeanAI 评分3030引用Deedy@deedydas
Jeff Dean@JeffDeanAI 评分5858引用Waymo@Waymo270M+ miles. 841 fewer injury-causing crashes. Our latest safety data shows the Waymo Driver continues to make roads safer for everyone. Compared to human drivers across 5 territories, it reduced: 📉 Injury crashes by 82% 📉 Serious injury crashes by 95% Full data: https://waymo.com/safety/impact
Jeff Dean@JeffDeanAI 评分2626这是几个月前我还在 Google 时录制的,那次对话真的很有趣!
引用Warren Redlich - Chasing Dreams 🇺🇸@WR4NYGovHow does this only have 21,000 views in 8 days? Chat with @JeffDean (then Google) and Bill Jia about large scale AI models. https://youtu.be/BVQSWeK2Nrw?si=MvMXdAEqjQE4HBOb
Jeff Dean@JeffDeanAI 评分2121你知道吗,你可以从真实大鼠神经元的计算中学到有趣的东西?我很喜欢 @AlexKsendzovsky 和团队在 @BioComputingCo 所做的工作。
引用Alex Ksendzovsky@AlexKsendzovskyWhat happens when neurons meet silicon? A new world emerges. Partnering with Amazon to bring it to customers. DM me for early access.
Jeff Dean@JeffDeanAI 评分3939引用Dawn Song@dawnsongtweetsI had the great honor and pleasure of sitting down with @JeffDean for his first public talk since leaving Google, where he spent an extraordinary 27 years. Few people have shaped modern computing and AI as profoundly - from MapReduce and Bigtable to TensorFlow, Mixture-of-Experts, TPUs, and Gemini. Our conversation covered some of the biggest questions shaping the future of AI: • How do you recognize a foundational idea before everyone else does? • How do you choose a research problem worth spending 5 years on? • What can coding teach us about building better reasoning models? • What might recursive self-improvement (RSI) actually look like? • What happens when the scientific discovery loop itself becomes increasingly automated? (and how is Jeff’s new startup going to contribute in this space?) • As AI becomes increasingly autonomous, how do we keep it safe and secure? • What should the next generation of researchers be working on? Here are some key insights and highlights for anyone building the future of AI. 🧵1/8
Jeff Dean@JeffDeanAI 评分5555引用Liam Fedus@LiamFedusWe built high-throughput materials labs in Menlo Park to create a loop between experiments and models. The labs generate fresh data, the models learn from it, and then help us decide what to try next. Using only 1,300 H200s, plus months of our experimental data, we mid-trained and RL’d an open-source model to surpass GPT-6 Astra on our analysis benchmark. We call it Neon. This is real footage from our lab. We’re focusing first on hard problems in materials science, including superconductors, magnets, and semiconductor materials. Read our blog posts below.
Jeff Dean@JeffDeanAI 评分2626确实,这是相当忙碌的一周,所以我想把它分享给 KDD 2026 的观众!对于我周四下午最后一次合上笔记本电脑后可能给我发过内部聊天消息的 Google 同事们,我为没有回复致歉! (放大查看)
引用Dhruv Kuchhal@kuchhal_dhruvLegendary! Thanks for sharing the behind-the-scenes @JeffDean!
Jeff Dean@JeffDean精选AI 评分8585Jeff Dean 宣布明天是他在 Google 的最后一天,工作 27 年间公司从 25 人成长到 190,000+ 人。


推荐理由:Jeff Dean 本人以内部告别信原文说明去向和新公司使命,人事变动的第一手信息比转述更完整。