<![CDATA[#luddites : "WAAH LLMs eat the planet with huge energy hungry Datacentres !!!!"]]> : "WAAH LLMs eat the planet with huge energy hungry Datacentres !!!!"

: Here is one that runs on 4 watts of power of your prayer tablet.

: (Waaah ambulacing intensifies)

Time to admit it was never about Planet destroying but your reluctance to learn new shit and hanging out with all the Kool kids, dancing around the bonfires in the woods?

]]>https://board.circlewithadot.net/topic/32bba244-d2a3-4a4d-9744-36dedf1c2acd/luddites-waah-llms-eat-the-planet-with-huge-energy-hungry-datacentresRSS for NodeFri, 15 May 2026 00:23:21 GMTTue, 05 May 2026 17:35:41 GMT60<![CDATA[Reply to #luddites : "WAAH LLMs eat the planet with huge energy hungry Datacentres !!!!" on Thu, 07 May 2026 08:14:50 GMT]]>@bhg @n_dimension

Once we dissect the truly colossal power consumption involved in training these beasts, the staggering inefficiencies of the MAC operation == multiply and accumulate, the Really Big Story is how the indexers are address the power consumption:

Algorithm efficiency is a big story right now: DeepSeek's V3 model reportedly cost just $5.576 million to train and used only around 2,000 chips, where competitors were using 16,000+.

As one Rhodium Group analyst put it, DeepSeek "demonstrates that training high-performance models can take far less electricity than previously thought." The catch, as some researchers note, is that cheaper training may just unleash more demand overall: Jevon's Paradox

Just a moment...

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(www.axios.com)

]]>https://board.circlewithadot.net/post/https://beige.party/users/tuban_muzuru/statuses/116532293860616590https://board.circlewithadot.net/post/https://beige.party/users/tuban_muzuru/statuses/116532293860616590Thu, 07 May 2026 08:14:50 GMT<![CDATA[Reply to #luddites : "WAAH LLMs eat the planet with huge energy hungry Datacentres !!!!" on Tue, 05 May 2026 20:35:04 GMT]]>@n_dimension I don't get what you mean. Running the LLMs is not the issue, especially if they're lightweight, you and I know. Of course you can run a lightweight model on a low ressource price tag. The training of LLMs is ressource hungry as hell. This is what a large part of the ressources of datacentres are being used for.

]]>https://board.circlewithadot.net/post/https://troet.cafe/users/bhg/statuses/116523879932662908https://board.circlewithadot.net/post/https://troet.cafe/users/bhg/statuses/116523879932662908Tue, 05 May 2026 20:35:04 GMT