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For $100 billion we could pay ivy-league level tuition for a million people. You don’t think investing that much in education would yield some good research or companies?

That's not what the parent comment said though

> any human for which we spend $100billion - $3 trillion...would be able to reach all of those levels


Reminiscent of the infamous Death Star tweet last year right before GPT-5 was released.

Thanks for that reminder. Seems kind of silly in retrospect.

Agree. Even Zitron's predictions about AI peaking are arguably correct if you step outside the silicon valley bubble. People I know who don't work in tech who use AI at work are doing the same stuff they were a couple years ago: they use it to summarize emails, generate an occasional slide deck, and mostly just send workslop to their coworkers.

And for personal use, I can count on a single hand people I know who pay for an AI subscription, and of those people nobody pays for more than the $20/month plan. And they all just use it as search or maybe to vibecode some one-off party game they use once and then throw away.

I don't know a single person who has done something like run Openclaw or leaves coding agents running on their laptop open all day.


The big bet is that the regulations are going to be so onerous that it pulls up the ladder from anyone other than the well-funded players. It's classic regulatory capture. They aren't very subtle about this, it's the whole point of their fear mongering and "but China" messaging.

They wanted this to happen. They've already gotten at least 3 separate news cycles out of this. Look how powerful our AI is [ignore our recklessness].

At this point why not just say they expect a bajillion dollars in revenue? Would be just as factual of a statement.

The problem is the tools. The tools encourage you to hand over all control to the AI, taking the user out of the drivers seats resulting in slop. If we were more honest about where the utility of using LLMs for coding, we wouldn’t be burning nearly as many tokens.


Yeah, this will never happen until governments step in and cause these companies real pain. I mean just look at Crowdstrike. They caused billions and billions in economic damage due to their incompetence, and nothing happened. In fact, their stock is close to an all time high.


It's even more concerning that not only did they setup a bad insecure test environment, but nobody realized what was going on for 5 days?! Neither nobody at OAI looked at what their test was doing, and HF didn't realize that they had been pwned for almost a week? And then HF couldn't investigate without the help of an LLM? Both parties come off as incompetent here, and the coverage of this story is very stupid. What the model did was concerning, but the real 5 alarm fire is the gross negligence and lack of any basic forethought at both ends of this attack.


agree. If oia and hf are anything like generic startup / corporate america, IT and security is always seen as a cost center and goes to the lowest bidder. Do we really think they're employing top notch sysadmins?


Bad take. What you're describing already exists.

> Some will be like nurses, and some will be closer to a medic and a smaller set will be like doctors. Each with increasingly required knowledge and experience to fulfill a needed role.

Nursing and being a physician aren't really the same thing at all, and they require different skill sets, it's not just "having more knowledge". Just because someone is an amazing surgeon doesn't mean they would also make a good nurse.

> Those who used to be actual software developers are going to be (or have to become) more in the doctor role with years of internship and practical experience to be the architects guiding the overall AI implementation of software development in organizations.

I think you just described a staff swe

> The medics are going to be people who are semi-technical, where they have some technical understanding but they don't dedicate themselves to it, like say product managers, where they jump in to help development along, but don't need to have many years of experience or very deep technical knowledge.

These people already exist. They are the business analysts who know SQL and maybe Python, R, or VBA. Marketing people who work on Wordpress landing pages. People doing systems integration, the IT department, sales engineers, and on, and on, and on.

> At the nurse level, it's probably going to be similar to what people would do in the past with no code tools, where somebody in marketing who knows very little to nothing about coding at all is just going to directly converse with AI systems, but they'll never be likely to get anything more advanced than the tools they could think up for themselves.

You said it, no code/low-code has existed forever.


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