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Stanford posted a 1h44 CS229 lecture that explains how to build large language models from scratch. Engineers with those skills can command over $750,000 a year at firms like Anthropic.
- Anthropic reportedly pays 750,000+ dollars a year to engineers who can build LLMs from scratch.
- Stanford's CS229 lecture (1h44m, free) teaches the actual mechanics of building LLMs—transformer math, training objectives, and code.
- The lecture covers attention mechanisms, training loop setup, techniques to prevent model collapse, and fine-tuning for tasks like summarization and QA.
- It's claimed to go deeper than the in-house training typically offered at major AI labs.
The CS153Systems site just added six new speakers—Lisa Su, Satya Nadella, Garry Tan, Diana Hu, Matiii, and Andi Blatt—for their upcoming event. They’re teasing more announcements next week that promise benefits for both students and the wider tech community.
- CS153Systems announced a second wave of speakers including AMD's Lisa Su, Microsoft's Satya Nadella, and Initialized Capital's Garry Tan
- The event is shifting focus from foundational systems theory to real-world application and career acceleration
- Organizers are teasing additional announcements next week, reportedly including scholarships and accelerator access