Re:Are we repeating the telecoms crash with AI datacenters?
by nuc1e0n on Wednesday December 03, 2025 @01:50PM
(#46138359)
How big does an LLM need to be to support natural language queries with RAG?
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Re:Are we repeating the telecoms crash with AI datacenters?
by mattnewton on Wednesday December 03, 2025 @02:22PM
(#46138764)
My hot (maybe just warm these days) take is, the problem with voice assistants on phones is they have to be able to have reasonable responses to a long tail or users will learn not to use them, since the use cases aren’t discoverable and the primarily value is talking to it like a person.
So voice assistants backed by very large LLMs over the network are going to win even if we solve the (substantial) battery usage issue.
Re:Are we repeating the telecoms crash with AI datacenters?
by nuc1e0n on Wednesday December 03, 2025 @02:28PM
(#46138848)
Why even bother with the text generation then? You could just make a phone call to an LLM with a TTS frontend. Like with directory enquiries back in the day. Which can be set up as easily as a BBS if you have a home server rack like Jeff Geerling makes youtube videos about.
Re:Are we repeating the telecoms crash with AI datacenters?
by jazzyjackson on Thursday December 04, 2025 @11:33AM
(#46149486)
1 800 CHAT GPT exists, I use it often enough to put it on speed dial on my flip phone