posted in Technology
AI needs $6tn in annual revenue to justify data centre boom, Bain says | The National
www.thenationalnews.com/future/technology/2026/09/29/ai-industry-needs-to-earn-6-trillion-by-2031-to-justify-data-centres/Replying to @themachinestops@lemmy.dbzer0.com
How much is the cure/treatment for Parkinson’s worth? Or other intractable medical problems?
What about a device able to manipulate the containment field of a fusion reactor?
These are the reasons why everyone is buying the compute services - there are dozens of moonshot-grade problems that are suddenly possible to attempt. Many will fail, but whoever gets that one success will gain astronomical benefit.
Replying to @Xaphanos@lemmy.world
LLMs aren’t gonna give us any of those things. Thats just snake oil.
Replying to @CameronDev@programming.dev
I believe at most, coding, scripting, and text processing.
Exactly, there’s a few specific use cases that the current generative AI is good at. Reading medical imagingand medication development are things I’d add to your list.
However, outside of those specific tasks AI is not particularly useful. An incremental improvement in productivity in some cases.
Replying to @im_fine_sandy@nord.pub
Medical imaging and medication development would be bespoke models no? Not standard LLMs?
Replying to @CameronDev@programming.dev
Generally speaking, yes, but standard LLMs now have their own built-in image recognition so we might not be too far off from LLMs being able to describe to the doctor what they should look at on an image that’s been flagged. Take a capable LLM of a few hundred billion parameters, train it on tons of medical images and such, and it might actually be helpful. Or it might not, no way to find out until tested.