[mcny]

I like to imagine the reference in the movie margin call is that of a merry go round or a game of Musical chair. Like we are all on a ride, none of us are the operator, and all we can do is guess when the music will stop (and the ride ends).

The problem with this AI stuff is we don't know how much we will be willing to pay for it, as individuals, as businesses, as nations. I guess we just don't know how far this stuff will be useful. The reasons for the high valuation is, in my guess, that there is more value here than what we have tapped so far, right?

The revenues that nVidia has reported is based on what we hope we will achieve in the future so I guess the whole thing is speculation?

[Xunjin]

TBF, all financial market is speculation these days, what only change is the figure/percentage of how much a share is actually the value it's priced.

> The problem with this AI stuff is we don't know how much we will be willing to pay for it, as individuals, as businesses, as nations. I guess we just don't know how far this stuff will be useful. The reasons for the high valuation is, in my guess, that there is more value here than what we have tapped so far, right?

I think the value now comes on how we make a product of it, for example, like OpenClaw. Whether we like or not, AI is really expensive to train, not only in monetary value but also in resources, and the gains have been diminishing with each “generation”. Let's not forget we heard promises that have not been fulfilled, for example AGI or “AI could potentially cure cancer, with enough power”.

[pixl97]

And if you've been watching Deepmind AI has been making advances in medical sciences at a pretty damned fast rate. So not fulfilled is a pretty weak statement. The pipeline in medical is very long.

And that's not even talking about the head spinning rate robotics is advancing. The hardware we use for LLMs is also being used in robot simulation for hardware training that gives results in hours that took weeks or months in the past.