与「Stanford」相关的搜索结果

Sam Altman (CEO de OpenAI): «Ya no necesitas escribir prompts.» En solo 38 minutos explica cómo usar ChatGPT a un nivel que la mayoría de la gente ni se imagina. Es una charla que dio a estudiantes de Stanford. Un amigo me pasó la grabación anoche. Después de verla me di cuenta de que estaba aprovechando apenas el 15 % de lo que esta herramienta realmente puede hacer. Mírala completa y después lee la guía que dejo abajo sobre cómo crear un sistema que se promptea a sí mismo.

Great spending time with @StanfordSBA this past week! From global retail adoption to the TRON AI Accelerator Program, it was an exciting conversation with students and builders shaping the future of Web3. 🚀

i asked myself to tweet less, but couldn't resist this time: Huge congratulations to my 3 fellow students (2@pku and 1@stanford) and 1 soon-to-be colleague (@openai) for winning the fields medal today!

Can America balance the energy trilemma of affordability, reliability, and cleanliness while driving economic growth and strengthening national security? Learn how the US can harness cutting-edge technologies in the Stanford Emerging Technology Review:

Researchers at South Korea's KAIST and Stanford University have unveiled clothing embedded with air-powered 'vine' robots that dress the wearer hands-free in about 10 seconds, with potential for use in chip factory cleanrooms and emergency services

如果今年只能参加一场 AI 大会，我会选 AGI Summit SF 2026。 OpenAI、Anthropic、Microsoft、Stanford、Recursive、Greptile…200+ 嘉宾、15000+ 参会者，共同讨论 Agent、AI Safety、推理、机器人、AI Infra 与下一代创业机会。 📍 San Francisco 📅 July 18–19 （本周末） 抢票： @agisummitai @MichaelRan15 @JimmyMeta8

This is the capital of robotics! 🌁 Silicon Valley is home to so many physical AI companies that you could spend a month visiting them and still not see even 10% of them (trust me, I tried). It took me 3x to create this map as it did to create any other. And the truth is, it's still incomplete. Let’s see why this is the case. So, the Bay Area is the world's leading ecosystem for robotics startups, bringing together top AI talent, top universities, experienced founders, and unmatched access to capital. The region is anchored by Stanford University and University of California, Berkeley, two of the world's top universities for AI and robotics. They produce a constant stream of researchers, founders, and breakthrough technologies. The Bay Area is also home to many of the companies shaping the future of robotics and AI, including @Figure_robot, @physical_int , and major AI labs such as @OpenAI. This concentration of talent makes it easy for startups to recruit experienced engineers and collaborate with leaders in embodied AI. Not mentioning that it  is also home to leaders such as @NVIDIARobotics , whose headquarters and leadership in AI chips power much of today's robotics revolution, and @Tesla, whose work on autonomous driving and humanoid robots has created a deep pool of robotics, AI, and manufacturing talent. Perhaps its biggest advantage is access to capital and ambition. The Bay Area has the world's deepest network of venture capital firms, serial entrepreneurs, and technical leaders who are willing to fund bold, long-term robotics companies. In the comments I'll post the companies from the ecosystem. ‼️ Note that Bay Area has >300 robotics companies, research labs, and innovation hubs, so this is a curated selection of the notable product companies, not an exhaustive census! P.S. I'm constantly working on improving these maps, so if your company is missing, please DM me with basic info about the co, and I will include it in the next release. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Adam Brown (@A_G_I_Joe) is back! General relativity is said to be the most beautiful idea the human mind has ever produced. Most of us will never get to fully appreciate its elegance by taking the 20-lecture graduate course Adam taught on it at Stanford. But in the video below, Adam distills the key idea at its heart so clearly and compellingly that even I could keep up lol. At the core of general relativity, Einstein is trying to figure out the principle behind a particular coincidence: that the mass that resists acceleration and the mass that gravity pulls on just happen to be exactly the same. Adam then leads us through the path of insight which Einstein called his “happiest thought.” Then Adam lectures on black holes. First, by showing how even under special relativity you could create a perpetual motion machine if black holes weren't truly black. And then, by explaining why the observations of an infalling observer and a distant bystander to the black hole would be so radically different Adam leads Blueshift, the team at Google DeepMind cracking science and reasoning. Which gave us the opportunity to discuss at the very end how close we are to AIs that could rediscover general relativity from scratch. Stay till the close for some philosophy of science. 0:00:00 – The coincidence that led Einstein to general relativity 0:16:42 – Gravity is a consequence of curved spacetime, not a force 0:31:46 – Why black holes prevent unlimited energy extraction 0:47:12 – Black holes are the ultimate power plants 1:13:50 – What falling into a black hole would actually feel like 1:18:51 – The three ways we know black holes are real 1:24:21 – The first time we saw gravity bend light 1:29:33 – How far can AI get without experimental evidence? Look up Dwarkesh Podcast on YouTube/Spotify to watch. Enjoy!

Stanford, Claude ve ChatGPT'nin çalışma mantığını içten dışa açıklayan ücretsiz dersi yayımladı. Çoğu insan potansiyelinin yüzde 90'ını boşa harcarken, Stanford bu bilgiyi 1 saat 44 dakikada öğretiyor. Kaybetmemek için favorilere ekleyin.

Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch. Stanford taught the entire thing in 1 hour lecture & released it for free. Bookmark & watch this today before someone takes it down and read this article below.