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Joined 10 months ago
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Cake day: August 22nd, 2023

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  • For instance, I would be completely fine with this if they said “We will train it on a very large database of articles and finding relevant scientific information will be easier than before”. But no they have to hype it up with nonsense expectations so they can generate short term profits for their fucking shareholders. This will either come at the cost of the next AI winter or senseless allocation of major resources to a model of AI that is not sustainable in the long run.



  • I am not denying the positive use cases being employed now and possibly being employed in the future. I am not opposing the use/development of AI tools now and in in future too.

    However the huge negative possibilities are very real too and is/will be effecting humanity. I am against the course big AI companies seem to be taking and against the possible future allocation of most of major tech innovations to their cause.

    It is of course very hard to predict how the positives and negatives will balance out but I think big tech companies don’t have any interest in balancing this out. They seem to be very short sighted for anything other than direct profits. I think they will take the easiest way to more profit/AI dominance which is a short term investment. So I am not very optimistic on how it will pan out. Maybe I am wrong and like computers it will open up a whole new world of possibilities. But the landscape then and landscape now is also quite different in terms of how big tech companies and richest people act.


  • I feel like all the useful stuff you have listed here is more like advanced machine learning and different than the AI that is being advertised to the public and being mostly invested in. These are mostly stuff we can already do relatively easily with the available AI (i.e highly sophisticated regression) for relatively low compute power and low energy requirements (not counting more outlier stuff like alpha fold which still requires quite a lot of compute power). It is not related to why the AI companies will need to own most of the major computational and energy innovations in the future.

    It is the image/text generative part of AI that looks more sexy to the public and that is therefore mostly being hyped/advertised/invested on by big AI companies. It is also this generative part of AI that will require much bigger computation and energy innovations to keep delivering significantly more than it can now. The situation is very akin to the moon race. It feels like trying to develop the AI on this “brute force” course will deliver relatively low benefits for the cost it will incur.