Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: A warmly lit classroom with a humanoid robot and human teacher sitting at opposite sides of a wooden chess board, the robot gesturing to explain a move while the attentive human takes notes, chalkboard behind them covered with chess notation and learning diagrams, afternoon sunlight streaming through tall windows, photorealistic style with shallow depth of field focusing on the chess pieces between them.
I took the surviving syllabus of W. H. Auden’s 1941 “”Hardest Class in the Humanities”” (6,000 pages of reading, memorization of poems, etc.) & turned it into an annotated site with all the readings. (Would have taken hours, instead it was 4 prompts) Here: https://x.com/emollick/status/1979689783485161728
Lets assume vibe coding gets good enough soon for non-coders to produce workable tools to solve their problems, though not enterprise-level stuff What skills should we teach people in class to take advantage of these capabilities? Right now, intro courses aren’t geared for this”” / X https://x.com/emollick/status/1979627762903392362
Technological development was slow for 9,288 generations not because past humans were dumb, but prior to books & the scientific method, innovation happened at the level of societies, not people. So tech evolved gradually, not through leaps of genius, but slow cultural adaption https://x.com/emollick/status/1979616432355946961
🎓Stanford CME295 Transformers & LLMs Nice to see the new release of this new course on Transformers and LLMs. Great way to catch up on the world of LLMs and AI Agents. Includes topics like the basics of attention, mixture-of-experts, to agents. Excited to see more on evals. https://x.com/omarsar0/status/1981030346037612847
🚀 Exciting news! We’ve just launched the Qdrant Academy 🎓 Dive into interactive courses and level up your vector search skills with Qdrant. Ready to learn, contribute, and grow with us? Link to the announcement: https://x.com/qdrant_engine/status/1981319267749679599
In 1921 Thomas Edison created an employment test that absolutely captivated America – 146 questions that he asked potential hires. Einstein famously failed it. I used AI to turn it into an annotated multiple choice test. Try it (though it is very 1921): https://x.com/emollick/status/1980425557545480600
If you want to learn AI from the experts, keep reading. 💡 Together with @UCL, we made a free AI Research Foundations curriculum – available now on Google Skills. With lessons from a Gemini Lead like @OriolVinyalsML, you’ll explore how to code better, fine-tune an AI model and https://x.com/GoogleDeepMind/status/1980962352775176637
OpenAI’s ‘embarrassing’ math | TechCrunch https://techcrunch.com/2025/10/19/openais-embarrassing-math/
Cool math insight on Weisfeiler–Lehman color refinement and Attention. Really nicely done!”” / X https://x.com/_arohan_/status/1981546840454811747
Because life’s too short for bad research papers. https://x.com/fdaudens/status/1979917544711442917
I wrote this piece in the Harvard Business Review in December, 2022, two weeks after ChatGPT was released (its seven pages, so these are the first two and last two). I think my predictions all played out, though I underestimated how good they would get at accurate math. https://x.com/emollick/status/1979573319121916037
