How long did it take Space-X to catch a rocket with giant chopsticks?
It's more than okay for a company with other sources of revenue to do research towards future advancement... it's not risking the downfall of the company.
The MIT report that has everyone talking was about 95% of companies not seeing return on investment in using AI, and that is with the VC subsidised pricing. If it gets more expensive that math only gets worse.
I can't predict the future, but one possibility is that AI will not be a general purpose replacement for human effort like some hope, but rather a more expensive than expected tool for a subset of use cases. I think it will be an enduring technology, but how it actually plays out in the economy is not yet clear.
How long did it take Space-X to catch a rocket with giant chopsticks?
It's more than okay for a company with other sources of revenue to do research towards future advancement... it's not risking the downfall of the company.
"technology too expensive to be offered at a profit (yet)" != hype
The MIT report that has everyone talking was about 95% of companies not seeing return on investment in using AI, and that is with the VC subsidised pricing. If it gets more expensive that math only gets worse.
I can't predict the future, but one possibility is that AI will not be a general purpose replacement for human effort like some hope, but rather a more expensive than expected tool for a subset of use cases. I think it will be an enduring technology, but how it actually plays out in the economy is not yet clear.
writing spam emails, that's what LLMs enduring market niche will end up being.
without structural comprehension, babbling flows of verbiage are of little use in automation.
CAD is basically the opposite of such approaches, as structural specifications extend through manufacturing phases out to QA.
Is it too expensive? Or not a valid solution to real problems?