Prompting Is Dead in 6 Months. Andrew Ng, Stanford [video]
thelastgallon
19 points
22 comments
September 08, 2026
Related Discussions
Found 5 related stories in 63.1ms across 5,804 title embeddings via pgvector HNSW
- 6 months to live for open models g42gregory · 31 pts · July 12, 2026 · 47% similar
- A system prompt to get AI to stop pretending to be human speckx · 32 pts · July 25, 2026 · 47% similar
- The Teaser Period: Why the AI Boom Is Hitting a Reset Wall gtzi · 88 pts · August 27, 2026 · 46% similar
- GPT-5.6 used a prompt to close a 30-year gap in convex optimization mbustamanter · 540 pts · July 18, 2026 · 46% similar
- Why I Left Google DeepMind apsec112 · 311 pts · July 15, 2026 · 45% similar
Discussion Highlights (4 comments)
stackghost
Can anyone summarize? Not going to risk watching a 2 hour video.
orbital-decay
The next logical step is to express execution graphs in a formalized language.
simonw
This is a mislabeled upload of stolen content. The original video is here: https://www.youtube.com/watch?v=AuZoDsNmG_s - on the official Stanford Online YouTube account. It has the title "Stanford CS230 | Autumn 2025 | Lecture 9: Career Advice in AI" and was published 8 months ago. The linked video was uploaded 3 days ago with the misleading title "Prompting is dead in 6 months" and the following description: > During the lecture at Stanford, Andrew Ng gave a direct warning: Prompting will be dead in 6 months. Graphs are what's replacing it. > He breaks down why prompt engineering has hit a ceiling. Instead of tweaking long instruction blocks, developers are wiring models into execution graphs where agents fix their own errors and pass state through loops without manual intervention. That is a total misrepresentation of the talk. The word "graph" does not appear a single time in the transcript, and the talk is about career advice.
tehsauce
missing label 2025?