My stance on #LLM :
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My stance on #LLM :
1. There _might_ be some useful use cases with this technology that could be worth exploring.
2. However, it is glaringly obvious that, as of now, their main purpose is to power the mother of all investments bubbles.
3. Which leads us to the present trillion dollar business case for "we must build energy- and water-wasting data centers everywhere so that we can scrape every single website a thousand times a month for new training data!"
4. Thus, there is currently pretty much no ethical way of using LLMs.
5. Any ethical exploration of LLM use cases will thus have to wait until the bubble has burst, the investors have moved on to the next scam, and we can sort through the rubble to check what is left.
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My stance on #LLM :
1. There _might_ be some useful use cases with this technology that could be worth exploring.
2. However, it is glaringly obvious that, as of now, their main purpose is to power the mother of all investments bubbles.
3. Which leads us to the present trillion dollar business case for "we must build energy- and water-wasting data centers everywhere so that we can scrape every single website a thousand times a month for new training data!"
4. Thus, there is currently pretty much no ethical way of using LLMs.
5. Any ethical exploration of LLM use cases will thus have to wait until the bubble has burst, the investors have moved on to the next scam, and we can sort through the rubble to check what is left.
-
My stance on #LLM :
1. There _might_ be some useful use cases with this technology that could be worth exploring.
2. However, it is glaringly obvious that, as of now, their main purpose is to power the mother of all investments bubbles.
3. Which leads us to the present trillion dollar business case for "we must build energy- and water-wasting data centers everywhere so that we can scrape every single website a thousand times a month for new training data!"
4. Thus, there is currently pretty much no ethical way of using LLMs.
5. Any ethical exploration of LLM use cases will thus have to wait until the bubble has burst, the investors have moved on to the next scam, and we can sort through the rubble to check what is left.
@juergen_hubert I have to say that every use case I can imagine for them would be perfectly 100% ok on smaller local only models.
Actually, I would go so far as to say even most of the use-cases they're pretending they can do could be done local. They don't really need to be 300+GB models. That's just a way to not actually acquire properly clean data (eg just steal everything and cram it all together rather than paying people to actually create qualitative sets.)
So yeah, every single use-case basically blows away the current system anyway.
As you said, the current system exists only for supporting the bubble.
My hope is when this is all over communities make community collated data sets that are clean and lighter and never push them as being "general AI" which they are not.
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