Hm... Sounds just like drug development. So this is standard practice all around?
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Not quite. Drug development is based on university research which licenses out a patent. But even from there there is a tremendous amount of work needed to push through clinical trials and it starts out as a normal corporation from the beginning.Hm... Sounds just like drug development. So this is standard practice all around?
For someone who doesn't know anything about AI, Elon has been very lucky with his decision making over the years, investing heavily into getting data, recruiting Karpathy, buying deepscale.ai, developing an alternative to GPUs as a backup if they get too expensive, developing own inference hardware, going into robotics heavily right before everyone else did it, betting on vision etc. It's almost as if he actually is pretty good at doing the physics first analysis of AI. Too bad for Tesla that the CEOs of Toyota, VW, Ford, GM, BMW etc had much better foresight and could outclass Tesla in this domain.Elon doesn't know anything about AI himself
A usual human working environment problem is something like "well what do you think we should work on next?"
Imo AGI is quickly approaching deep blue levels at text based questions. Sure it might not better than every human at everything today. But it has rapidly gotten better than 90% of humans at 90% of tasks that we have tests for.
Ed Witten and Terry Tao have ideas of useful and interesting new research ideas, short and long term. An AI that answers textbook like questions has no idea about that so far. They might find assistants that can usefully scan and summarize research literature as helpful.And the limit is not getting to best human level at everything, it will be more like Stockfish which has a 800 ELO rating advantage over Magnus Carlsen, ie the difference between LLMs and Terence Tao/Ed Witten will be like the difference between Magnus Carlsen and me... In every task where a comparison is meaningful.