The AI boom has turned the standard profit margin model on its head, according to Apollo Chief Economist Torsten Slok—and it’s making the industry’s growth unsustainable.
That is where the evidence points. Now, I don’t want to oversell it: “where the evidence points” is wildly different than “exactly how it works”.
We have an emergent property that we don’t understand, but we can reliably increase the functionally and complexity of that emergent property as a function of training data and available compute. Does that mean that there isn’t some threshold where that stops working? No, there certainly could be a point where throwing more information and compute has no effect. We just don’t know. However, so far, there is no evidence such a barrier exists, and everyone is racing to find out.
As far as I am aware, AGI does not imply sapience, consciousness, or whatever. You seem to believe it does. A high level Google search seems to suggest that I’m correct. Is there some reason you are lumping sapience with AGI?
I’m not sure if the rest of your comment presupposes this, so I’ll wait to comment on where I think you’re mistaken.
I dont believe it requires sapience; that is what the marketers are saying. The AI boom (and many historic boom cycles) is predicated on marketing and sentiment, not facts and data. That is why they always pop; the facts dont back up the hype.
I think there is some confusion. I do not believe AGI implies sapience, nor does Google, and now it seems that you don’t either. So who is discussing sapience?
If this is working, where’s the company with runaway success creating unimagined leaps in productivity and technology?
Hypothetically speaking, what do you think this would look like?
What it would look like is layoffs from a company without a change in output/productivity. Notably, we’re not at AGI yet, so I wouldn’t expect sci-fi levels of change.
There would necessarily be a lag time between layoffs and unchanged productivity. And even then, if we’re being fair, that’s not conclusive evidence of AI being useful; it could just be that they had more employees than they needed.
My point is more that I’m not sure we’d see an obvious sign that AI was changing the market yet.
That is where the evidence points. Now, I don’t want to oversell it: “where the evidence points” is wildly different than “exactly how it works”.
We have an emergent property that we don’t understand, but we can reliably increase the functionally and complexity of that emergent property as a function of training data and available compute. Does that mean that there isn’t some threshold where that stops working? No, there certainly could be a point where throwing more information and compute has no effect. We just don’t know. However, so far, there is no evidence such a barrier exists, and everyone is racing to find out.
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As far as I am aware, AGI does not imply sapience, consciousness, or whatever. You seem to believe it does. A high level Google search seems to suggest that I’m correct. Is there some reason you are lumping sapience with AGI?
I’m not sure if the rest of your comment presupposes this, so I’ll wait to comment on where I think you’re mistaken.
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I think there is some confusion. I do not believe AGI implies sapience, nor does Google, and now it seems that you don’t either. So who is discussing sapience?
Hypothetically speaking, what do you think this would look like?
deleted by creator
What it would look like is layoffs from a company without a change in output/productivity. Notably, we’re not at AGI yet, so I wouldn’t expect sci-fi levels of change.
deleted by creator
There would necessarily be a lag time between layoffs and unchanged productivity. And even then, if we’re being fair, that’s not conclusive evidence of AI being useful; it could just be that they had more employees than they needed.
My point is more that I’m not sure we’d see an obvious sign that AI was changing the market yet.