I'm not specifically referring to this article, but in general I've noticed a frustrating pattern:
> AI company releases generalist model for testing/experimentation
> Users unwisely treat it like a universal oracle and give it tasks far outside its training domain
> It doesn't perform well
> People are shocked and warn about the "dangers of AI"
This happens every time. Why can't we treat AI tools like they actually are: interesting demonstrations of emergent intelligent properties that are a few versions away from production-ready capabilities?
> AI company releases generalist model for testing/experimentation
> Users unwisely treat it like a universal oracle and give it tasks far outside its training domain
> It doesn't perform well
> People are shocked and warn about the "dangers of AI"
This happens every time. Why can't we treat AI tools like they actually are: interesting demonstrations of emergent intelligent properties that are a few versions away from production-ready capabilities?