> Whether it all falls apart suddenly, or gradually, I do not know. And LLMs will continue to exist.
This is one thing I don't get. Why will LLMs still exist if AI companies go bust? Will we have stagnant models that can't be improved anymore as a service? Isn't each query still a monumental computing task that they lose money on?
The task is not so monumental that it could not be provided at a reasonable price or financed through advertising, but as long as major players are willing to operate at a loss, you face little choice but to operate at a loss yourself.
> Without world models. you cannot achieve reliability. And without reliability, profits are limited.
Surprising to simultaneously announce the end of the road yet point to the road ahead
It is not a road, it is a runway.
> Whether it all falls apart suddenly, or gradually, I do not know. And LLMs will continue to exist.
This is one thing I don't get. Why will LLMs still exist if AI companies go bust? Will we have stagnant models that can't be improved anymore as a service? Isn't each query still a monumental computing task that they lose money on?
Inference is probably okay priced, at least at API prices.
The salaries, training and especially data center build out might be a little crazy right now.
The task is not so monumental that it could not be provided at a reasonable price or financed through advertising, but as long as major players are willing to operate at a loss, you face little choice but to operate at a loss yourself.
It is a bit silly calling a top at this point.