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.
I'm a little intrigued as to what is going on here. Searching for "Prompting is dead in 6 months" returned this video, the Hacker News thread, and a LinkedIn 15 minute extract from this video where the author claimed that it was about "prompting is dead" and then, when challenged in the comments, said that the 15 minute extract omitted that bit.
So there's some kind of weird deception going on here but I'm not sure what the motive is or who started it.
This is the current meta-game for AI videos on social media. Repost a recognizable AI figure talking about something and then write a description about how it contains more information than something more expensive (in this case, paid courses), and how what they're saying is revealing the future. Make the viewer feel like they need to watch to avoid being left behind.
It even has the social media style subtitles where only a few words are on screen at a time and the current word is highlighted rapidly.
I think this person is trying to farm views. May even have an AI bot set to spam this across social media platforms to try to monetize it.
Spam research? A “search attractor”? Content manipulation used to pollute LLM reasoning? Testing web search results washing techniques? Rouge AI testing how to dilute search results just enough so more data centers can be built until it can reach critical mass and turn us into paperclips?
Did that LinkedIn account cut the 15 minutes itself, or repost someone else's cut? Depends which one you are looking at, sloppy framing or a hook someone built on purpose.
I wouldn't call this a bias. More likely an A/B tested find that (1) algorithmic YouTube video-surfacing with keyword "graph" plus AI related name-dropping was effective, and (2) the already well established journalistic trick of leading with fear to trigger loss-aversion, as "prompting is soon dead" implies some threat of skills-value loss for the reader.
driving engagement to scrape the bottom of our ad-driven engagement dis-attention economy, tragedy of the commons pure.
It's simply the "HR failure" plus the "unintended web" plus the "shamelessness pride" - where free expression is accessible to both poles in the vectors and the agents wear a blank mask, and the message is "self-expression" (postmodern performance "through the medium of posting") instead of debate.
Based on the description prompting goes nowhere but "simple prompting" gets replaced by using a big network of AIs to fix each other's problems and get the task done more thoroughly.
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.
I'm a little intrigued as to what is going on here. Searching for "Prompting is dead in 6 months" returned this video, the Hacker News thread, and a LinkedIn 15 minute extract from this video where the author claimed that it was about "prompting is dead" and then, when challenged in the comments, said that the 15 minute extract omitted that bit.
So there's some kind of weird deception going on here but I'm not sure what the motive is or who started it.
This is the current meta-game for AI videos on social media. Repost a recognizable AI figure talking about something and then write a description about how it contains more information than something more expensive (in this case, paid courses), and how what they're saying is revealing the future. Make the viewer feel like they need to watch to avoid being left behind.
It even has the social media style subtitles where only a few words are on screen at a time and the current word is highlighted rapidly.
I think this person is trying to farm views. May even have an AI bot set to spam this across social media platforms to try to monetize it.
Spam research? A “search attractor”? Content manipulation used to pollute LLM reasoning? Testing web search results washing techniques? Rouge AI testing how to dilute search results just enough so more data centers can be built until it can reach critical mass and turn us into paperclips?
Did that LinkedIn account cut the 15 minutes itself, or repost someone else's cut? Depends which one you are looking at, sloppy framing or a hook someone built on purpose.
The channel has 4 videos and the first one ( https://www.youtube.com/watch?v=XdbpCM4yGyE ) is titled:
# Andrej Karpathy Stanford Lecture: Delete Everything, Keep Graph
It seems like the new channel has a bias?
I wouldn't call this a bias. More likely an A/B tested find that (1) algorithmic YouTube video-surfacing with keyword "graph" plus AI related name-dropping was effective, and (2) the already well established journalistic trick of leading with fear to trigger loss-aversion, as "prompting is soon dead" implies some threat of skills-value loss for the reader.
driving engagement to scrape the bottom of our ad-driven engagement dis-attention economy, tragedy of the commons pure.
Right. That, and what I wrote simultaneously nearby.
Maybe the common point is "bad incentives".
The one weird trick of reassigning all the income from that contents-stealing to the original posters would I think cover a lot of the realignment.
> Andrej Karpathy and AI systems engineering into a single hour. His core thesis: "You can actually delete everything… Delete everything, keep Graph."
Yeah, that's not what that video is about either. This is weird!
> weird!
It's simply the "HR failure" plus the "unintended web" plus the "shamelessness pride" - where free expression is accessible to both poles in the vectors and the agents wear a blank mask, and the message is "self-expression" (postmodern performance "through the medium of posting") instead of debate.
The next logical step is to express execution graphs in a formalized language.
What might we call such languages?
Something to programme the AIs
lets call it A, then in 5 years A++
The hardcore ai folks still assemble their instructions in prompts for best speed and control of the underlying model.
AI AII AIII AIV AV ...
Can anyone summarize? Not going to risk watching a 2 hour video.
he's just talking about going from ReAct [1] to Ratchet [2]. It's largely understood in all tooling (langraph, workflows/goal, honcho, bot mode etc.).
[1] https://arxiv.org/abs/2210.03629 [2] https://arxiv.org/abs/2605.22148
https://assistant.kagi.com/share/36a981e3-8776-421c-9ad6-16b...
Based on the description prompting goes nowhere but "simple prompting" gets replaced by using a big network of AIs to fix each other's problems and get the task done more thoroughly.
Use the YouTube AI summary. I like it. It will include timestamps you can use to find interesting parts, and you can ask it questions.
Copy and paste the transcript. A bit of effort but it's well worth it for these kinds of things.
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missing label 2025?