No, because the market is an aggregate of opinions, so it’s entirely fair to say it’s “generally accepted.” That has nothing to do with whether something happens to be true or not.
It may provide a financial opportunity for someone who disagrees with that aggregated opinion though.
my argument isn’t fallacious - it is logical: we can learn/use evidence from something without presuming it is all knowing. you are putting words in others mouths that they did not say
I'm sorry, I thought you introduced the "all-knowing" out of nowhere, but this was indeed mentioned by willsmith72. I'd missed that.
Still, his implied assertion that markets that markets can often behave irrationally, and can't be used as evidence of technical matters, seems pretty valid to me.
But I suppose you could see it as a sign that something is at least temporarily "generally accepted" among investors. That doesn't mean it's generally accepted among AI researchers, though.
Although I thought it was $6M rather than $5M, and that that was only the last step, and not the total investment. What does seem to be generally accepted among investors that this isn't good news for NVidia's profits, but that still doesn't mean that all the specific facts are generally accepted.
based on information and background they thoroughly gave when releasing their research its pretty easy to put together that it did take them significantly less resources to train this model. only having specific parameters available at a time instead of activating everything all at once is pretty ingenious.
that and they just happened to be undergoing a large scale "cyber attack"
I'm not sure I see the bear argument for NVidia here. Huge AI models certainly drive NVidia sales, but huge AI models are also widely thought to be untrainable and nearly un-runnable save for large datacenters.
To me, this is ripe for an application of the Jevons paradox. If architectural improvements make similar models cheaper, I would expect to see more of them trained and deployed, not fewer, ultimately increasing the market for GPU-like hardware.
Based on Nvidia being down 18% yesterday I would say the claim is generally accepted.