This was fundraising marketing. There is zero evidence LLMs scale to AGI.

Enough or not, LLMs have shown that you can train an extremely advanced fascimile of intelligence just by learning to predict data generated by intelligent beings(us), and with that we've got the possibly single biggest building block done.

To the alignment/regulation debate, it’s essential. If there is AGI potential, OpenAI et al are privatised Manhattan Projects. That calls for swift action.

If, on the other hand, the risk is less about creating mecha Napoleon and more about whether building Wipro analyst analogues that burn as much energy as small nations is economically viable, we have better things to deliberate in the Congress.

There's evidence that LLMs won't scale to AGI (both theoretical limiting arguments, and now mounting evidence that those theoretical arguments are correct), so this point is moot, but still.

Why? The only null we have, the organic evolution of tool-building intelligence, was iterative.

So if you leave the training time annd expensive out, it looks like it's a lot cheaper to produce intelligence than it really is.