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by layer8
56 days ago
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So there needs to be a new paradigm shift every few months or so? Because I remember people hailing AI reaching a new level of capability less than half a year ago, and saying it’d still be so much worth it even at ten times the price. And that already has lost momentum? If that’s the case, then AI companies are hugely overvalued. These contrasts are just wild to me. Your last paragraph is also striking in that it exemplifies how far away from general intelligence they still are. |
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Most of everything tends to suck. Most projects go nowhere, most companies fail, most scientific papers are garbage.
> how far away from general intelligence they still are
Economically the real question is to what extent can these systems replace or augment human labour. And I think right now the extent is pretty shocking if not currently very well integrated.
Scientifically the fact they are bad at using subagents is sort of expected. How to use agents effectively is still a bit of an open question. A human from mid 2025 would be bad at it. Why should a model trained on data from 2025 be good at it?
If these things were to be generally intelligent they need feedback and retraining. Which persumable the Labs will do once these sorts of questions start having good answers and we can create good benchmarks and measures for meta orchestration.