X post:Julia Turc
Julia Turc on Eliezer Yudkowsky's Stanford Lecture
Julia Turc recommends a 2016 Stanford lecture by Eliezer Yudkowsky as a worthwhile entry point into his perspectives on AI alignment.
27bookmarks3.2kviews
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Keyword: stanfordLink:Diyi Yang, Michael Ryan, John Yang
CS 329Z: Stanford Course on Engineering AI Agents
Stanford University is running CS 329Z (Engineering AI Agents) for Fall 2026. The course explores the transition from monolithic language models to compound AI systems and autonomous agents. All lecture materials, syllabus details, and reading lists are made publicly available online.
From X post: Stanford Launches CS329Z: Engineering AI Agents
X post:netrunner
CLM-8B: Contrastive Language Model Released as Fast Open-Source Jev Competitor
Jacky Kwok and a Stanford/NVIDIA team have introduced CLM-8B, an Apache 2.0 open-weights model claiming up to 9x faster inference than Jev with comparable task performance.
634bookmarks86.2kviews
X post:Mark Phelps
Stanford Launches CS329Z: Engineering AI Agents
Stanford University has released the curriculum for CS329Z ('Engineering AI Agents') for Autumn 2026. The course covers compound AI systems, building RAG and tool use from scratch, agent frameworks like DSPy, and systematic agent evaluation.
2.3kbookmarks66.1kviews
Link:Tengyu Ma
Academic Homepage of Tengyu Ma (Stanford University)
The official academic homepage of Tengyu Ma, Assistant Professor of Computer Science at Stanford University, detailing his machine learning research, current lab members, publications, and teaching.
From X post: Stanford Lecture on the Mathematical Foundations of LLMs
Link:Tatsunori Hashimoto, Percy Liang
Stanford CS336: Language Modeling from Scratch
Stanford University's CS336 course teaches the end-to-end development of language models from the ground up, inspired by traditional operating systems courses. Students build every component: data pipelines, Transformer architectures, Triton GPU kernels, scaling laws, and reasoning-focused alignment.
From X post: Stanford Lecture on the Mathematical Foundations of LLMs
Link:Aakanksha Chowdhery, Azalia Mirhoseini
Stanford CS329A: Self-Improving AI Agents
Stanford University's CS329A is a graduate course dedicated to self-improving AI agents, taught by Aakanksha Chowdhery and Azalia Mirhoseini. The curriculum covers foundational and modern techniques enabling LLMs to iteratively improve via environment interaction and internal feedback.
From Video: Stanford CS329A: Introduction to Self-Improving AI Agents and Scaling Trends
X post:CopyRebeldia
Stanford Lecture on the Mathematical Foundations of LLMs
A viral post highlights a Stanford lecture on the technical fundamentals behind large language models. The author argues that models like Claude and ChatGPT process numbers rather than text, linking this core competence to lucrative engineering salaries. However, a Community Note corrected the identity of the lecturer and the course shown.
41.9kbookmarks2.8mviews
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