And Amazon says it will help train 4 million people in AI skills and “enable AI curricula” for 10,000 educators in the US by 2028, while offering $30 million in AWS credits for organizations using cloud and AI tech in education.

So, at some point, we do have to move on policy, but frankly, I have a really hard time trying to predict what skillset will be particularly relevant to AI in ten years. I have a hard time knowing exactly what the state of AI itself will be in ten years.

Like, sure, in 2025, it’s useful to learn the quirks and characteristics of LLMs or diffusion models to do things with them. I could sit down and tell people some of the things that I’ve run into. But…that knowledge also becomes obsolete very quickly. A lot of the issues and useful knowledge for, working with, say, Stable Diffusion 1.5 are essentially irrelevant as regards Flux. For LLMs, I strongly suspect that there are going to be dramatic changes surrounding reasoning, and retaining context. Like, if you put education time into training people on that, you run the risk that they don’t learn stuff that’s relevant over the longer haul.

There have been major changes in how all of this works over the past few years, and I think that it is very likely that there will be continuing major changes.