

You’re right that there’s orders of magnitude difference, but its the driving that’s far more! One query to a chatGPT type model uses roughly 1Wh of energy, which is about the same as is released in burning one droplet of gasoline.
You’re right that there’s orders of magnitude difference, but its the driving that’s far more! One query to a chatGPT type model uses roughly 1Wh of energy, which is about the same as is released in burning one droplet of gasoline.
No I’m a meat eater who is anti-car! I’m more getting at how people have latched on to the energy use of AI models without realising the huge energy usage that goes into their daily lives.
Yeah, I too hate those hypcrites who complain about the massive environmental impact of AI, then drive a 10 mile round trip to buy a burger made from a cow raised on soy.
Yes, i find it difficult to believe that they mess up a dozen line algo that is in their training set in a prominant place with no complicating factors. Despite what a lot of people here think, LLMs do have value for coding. Even if the companies selling them make ridiculous claims about what they can do.
I find that very difficult to believe. If for no other reason that there is an implementation in the wiki page for Levenshtein distance (and wiki is known to be very prominant in the training sets used for foundational models), and that trying it just now and it gave a perfectly functional implementation.
Yep, and when you click a button that liteally says “make this discoverable on search engines” which is off by defualt, its the later.
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It would be nice to see a price/GWh of this (along with running costs, it says they save 1 Million per GWh, how much were the running costs before!?), but any improvement in battery tech is definitely a good thing.
Its an urban planning and transport issue essentially. Medium density housing (think 4-6 story blocks) allows enough people to live in an area that it becomes feasible to have trams/light rail serving that area.