β² 654 βΌ Anthropic/OpenAI may be spending more than $1000 for every $100 you pay them (ea.rna.nl) submitted 5 months ago by Trilogy3452@lemmy.world to c/technology@lemmy.world 171 comments fedilink hide all child comments π 2 π€£ 1
[β] Cornpop@lemmy.world 18 points 5 months ago (8 children) What is the actual βcostβ after they buy the hardware, is that $1000 really pure power usage cost? permalink fedilink source hideshow 8 child comments replies: [β] Corkyskog@sh.itjust.works 17 points 5 months ago (1 child) The problem is that the hardware has a 5 or 6 year depreciation schedule on paper, but NVIDIA keeps saying that their next generation chip will be twice as good as their last chip so there is a FOMO schedule of like every two years. permalink fedilink source parent hideshow 1 child comment replies: [β] nullspace@lemmy.world 3 points 5 months ago Would be nice to see that used hardware for sale rather than it being junked as a writeoff. permalink fedilink source parent [β] rumba@lemmy.zip 4 points 5 months ago that's the $84,000 question. They're filling datacenters with the fastest possible equipment and need it to be 10x faster, That hardware is dinosaur fodder a year after they install it. permalink fedilink source parent [β] HereIAm@lemmy.world 4 points 5 months ago (4 children) I'm curious as well. My knowledge is probably quite outdated, but from what I understood the training part is what's expensive and then querying the model is pretty cheap. Is it still true (or was it ever) that the generated answers on search engines are cheaper to generate than the actual search results? permalink fedilink source parent hideshow 4 child comments replies: [β] CheeseNoodle@lemmy.world 11 points 5 months ago (2 children) I find that hard to believe, I recently had to uninstall co-pilot after it weaseled its way into my search bar. Its not an exageration to say that my PC literally ran cyberpunk 2077 with pathtracting better than it ran the fucking windows search bar with co-pilot. permalink fedilink source parent hideshow 2 child comments replies: [β] NikkiDimes@lemmy.world 3 points 5 months ago* That's just a shitty front end interface implementation, it has nothing to do with the actual inference run by the models. permalink fedilink source parent [β] SorryQuick@lemmy.ca 2 points 5 months ago Look at the public numbers, it seems true. Copilot on your taskbar is just windows being garbage, not the AI being bad. Just look at self-hosted AI and measure the power costs of your queries. Itβs tiny. permalink fedilink source parent [β] Shteou@lemmy.world 2 points 5 months ago It is sorta. Training is orders of magnitudes more intensive than inference, but we infer billions of times within a model generation. permalink fedilink source parent
[β] Corkyskog@sh.itjust.works 17 points 5 months ago (1 child) The problem is that the hardware has a 5 or 6 year depreciation schedule on paper, but NVIDIA keeps saying that their next generation chip will be twice as good as their last chip so there is a FOMO schedule of like every two years. permalink fedilink source parent hideshow 1 child comment replies: [β] nullspace@lemmy.world 3 points 5 months ago Would be nice to see that used hardware for sale rather than it being junked as a writeoff. permalink fedilink source parent
[β] nullspace@lemmy.world 3 points 5 months ago Would be nice to see that used hardware for sale rather than it being junked as a writeoff. permalink fedilink source parent
[β] rumba@lemmy.zip 4 points 5 months ago that's the $84,000 question. They're filling datacenters with the fastest possible equipment and need it to be 10x faster, That hardware is dinosaur fodder a year after they install it. permalink fedilink source parent
[β] HereIAm@lemmy.world 4 points 5 months ago (4 children) I'm curious as well. My knowledge is probably quite outdated, but from what I understood the training part is what's expensive and then querying the model is pretty cheap. Is it still true (or was it ever) that the generated answers on search engines are cheaper to generate than the actual search results? permalink fedilink source parent hideshow 4 child comments replies: [β] CheeseNoodle@lemmy.world 11 points 5 months ago (2 children) I find that hard to believe, I recently had to uninstall co-pilot after it weaseled its way into my search bar. Its not an exageration to say that my PC literally ran cyberpunk 2077 with pathtracting better than it ran the fucking windows search bar with co-pilot. permalink fedilink source parent hideshow 2 child comments replies: [β] NikkiDimes@lemmy.world 3 points 5 months ago* That's just a shitty front end interface implementation, it has nothing to do with the actual inference run by the models. permalink fedilink source parent [β] SorryQuick@lemmy.ca 2 points 5 months ago Look at the public numbers, it seems true. Copilot on your taskbar is just windows being garbage, not the AI being bad. Just look at self-hosted AI and measure the power costs of your queries. Itβs tiny. permalink fedilink source parent [β] Shteou@lemmy.world 2 points 5 months ago It is sorta. Training is orders of magnitudes more intensive than inference, but we infer billions of times within a model generation. permalink fedilink source parent
[β] CheeseNoodle@lemmy.world 11 points 5 months ago (2 children) I find that hard to believe, I recently had to uninstall co-pilot after it weaseled its way into my search bar. Its not an exageration to say that my PC literally ran cyberpunk 2077 with pathtracting better than it ran the fucking windows search bar with co-pilot. permalink fedilink source parent hideshow 2 child comments replies: [β] NikkiDimes@lemmy.world 3 points 5 months ago* That's just a shitty front end interface implementation, it has nothing to do with the actual inference run by the models. permalink fedilink source parent [β] SorryQuick@lemmy.ca 2 points 5 months ago Look at the public numbers, it seems true. Copilot on your taskbar is just windows being garbage, not the AI being bad. Just look at self-hosted AI and measure the power costs of your queries. Itβs tiny. permalink fedilink source parent
[β] NikkiDimes@lemmy.world 3 points 5 months ago* That's just a shitty front end interface implementation, it has nothing to do with the actual inference run by the models. permalink fedilink source parent
[β] SorryQuick@lemmy.ca 2 points 5 months ago Look at the public numbers, it seems true. Copilot on your taskbar is just windows being garbage, not the AI being bad. Just look at self-hosted AI and measure the power costs of your queries. Itβs tiny. permalink fedilink source parent
[β] Shteou@lemmy.world 2 points 5 months ago It is sorta. Training is orders of magnitudes more intensive than inference, but we infer billions of times within a model generation. permalink fedilink source parent