I know how machine learning "AI" works, and there, the training is the costly part, using it is close to free.
Could someone knowledgeable explain what's the difference with those more recent large language models used by ghatgpt etc. ?
"We did it, Patrick! We made a technological breakthrough!"
A place for all those who loathe AI to discuss things, post articles, and ridicule the AI hype. Proud supporter of working people. And proud booer of SXSW 2024.
I know how machine learning "AI" works, and there, the training is the costly part, using it is close to free.
Could someone knowledgeable explain what's the difference with those more recent large language models used by ghatgpt etc. ?
Tax pollution and pay the revenue as cash to poor people, it'll figure itself out
The first statement is not even wholly true. While training does take more, executing the model (called "inference") takes much, much more power than non-AI search algorithms, or really any traditional computational algorithm besides bogosort.
Big Tech weren't doing the best they possibly could transitioning to green energy, but they were making substantial progress before LLMs exploded on the scene because the value proposition was there: traditional algorithms were efficient enough that the PR gain from doing the green energy transition offset the cost.
Now Big Tech have for some reason decided that LLMs represent the biggest game of gambling ever. The first to find the breakthrough to AGI will win it all and completely take over all IT markets, so they need to consume as much as they can get away with to maximize the probability that that breakthrough happens by their engineers.
Yeah, I ran some image generators on my RTX2070, and it took a solid minute at full power to do it. Sure, it's not a crazy amount, but it's not like it's running on your iPhone.
How much energy does AI really use? (zdnet) Seems like queries aren't that expensive, so I guess the enormous energy cost of AI must be mostly from training. I reckon this is why apologists try to minimize it.
That was a shit "article" IMO. "What is a data center" lol, and no figures or explanations. Or did I miss something when I speed read the SEO crap?
You have more brians than any AI shill will ever be able to emulate.
brians
I don't use autocorrect, because misspellings and misstypes are usually more legible than what ever 'other' word autocorrect picks.
... though I'm leaving this one in. A gaggle of Brians is better than any AI shit.