Stanford CS 25 Transformers Course (OPEN TO ALL | Starts Tomorrow)
Stanford's hottest AI seminar, featuring Karpathy and Hinton, starts public lectures tomorrow.
Stanford University is democratizing access to cutting-edge AI education by opening its coveted CS25: Transformers course to the public, free of charge. Starting tomorrow, April 4th, lectures will be held weekly from 4:30-5:50 PM PDT at Stanford's Skilling Auditorium and simultaneously livestreamed via Zoom, with recordings posted afterward. The course has gained a massive global following, with millions of views on YouTube; its 2023 session with former OpenAI researcher Andrej Karpathy was Stanford's second-most-popular YouTube video of the year. This iteration is sponsored by Modal, AGI House, and MongoDB.
Each week, the seminar invites leading researchers and engineers to discuss the latest Transformer breakthroughs, spanning large language model (LLM) architectures like GPT-4 and Gemini, generative AI for art and video (DALL-E, Sora), and applications in biology, neuroscience, and robotics. The speaker roster is a who's who of AI, including Geoffrey Hinton, NVIDIA's Jim Fan, Transformer co-inventor Ashish Vaswani, and experts from OpenAI, Anthropic, and Google. The course provides an unprecedented opportunity for professionals and enthusiasts worldwide to engage directly with the field's pioneers.
Beyond the lectures, the course fosters a vibrant community through its 6000+ member Discord server, where participants can discuss topics and network. This move significantly lowers the barrier to elite AI education, allowing anyone with an internet connection to learn from the architects of the technology reshaping industries. The open format reflects a growing trend of top institutions sharing knowledge publicly to accelerate innovation and literacy in critical technologies.
- Free public access to Stanford's elite AI seminar, with lectures starting April 4th, livestreamed and recorded.
- Features weekly talks from pioneers like Andrej Karpathy, Geoffrey Hinton, and researchers from OpenAI, Anthropic, and NVIDIA.
- Course covers Transformer breakthroughs in LLMs (GPT, Gemini), generative AI (DALL-E, Sora), and applications in science and robotics.
Why It Matters
Democratizes access to frontier AI knowledge, allowing professionals worldwide to learn directly from the field's leading architects.