Imagine if capitalists used trillions of dollars to do something useful instead.
> Sam Altman CEO of OpenAI, last year said the AI industry would need trillions of dollars in investment to support the development of in-demand chips needed to power the electricity-hungry data centers that run the sector’s complex models.
@josephdickson > AI industry would need trillions of dollars in investment to support the development of in-demand chips needed to power the electricity-hungry data centers that run the sector’s complex models
And here we see the little people inside the Mechanical Turks. The whole "AI" thing is a way of artificially generating huge demand for something the DataFarmers want to build anyway; hyperscale datacentres;
#Deepseek is absolutely the new tankie toy! Congratulations to all #China adoring #tankies!
Don't get me wrong, the American #AI's are also lying and making mistakes. But I have to admit that #ChatGPT is not so obvious lying as Deepseek. Although that can change. 👀
Imagine a future were AI tools from various power blocks are fighting each-other who is the greatest historical revisionist. All that lying costs of course immense energy, making the climate crisis a climate apocalypse, and destroying all human culture and knowledge. All for who has the best lie.
OK, the former paragraph is more of a good science fiction film. But good science fiction films have a grain of truth. Proposed title 'The War of the Lies'. *
* This splendid scifi film idea is licenced under the Creative Commons licence BY-NC-SA 4.0.
enjoying watching the Tech Bros panic because I don't use this shit, don't need this shit and can't wait for this shit to be gone like those stupid Monkey Pictures.
It's interesting IMO because: - You can run the smallest model on a Ras Pi with no internet connection. - It prints its "train of thought". - The models are all open source.
I have no love of China, or of how the tech industry has watered machine learning down to "everything is a shitty chatbot", but I can't deny that this is an impressive breakthrough and I hope it's enough to help drive real innovation in ML.
On the other hand, I also realize this is probably going to buoy the grift even longer.
Joseph Dickson
in reply to Scalzi • • •Imagine if capitalists used trillions of dollars to do something useful instead.
> Sam Altman CEO of OpenAI, last year said the AI industry would need trillions of dollars in investment to support the development of in-demand chips needed to power the electricity-hungry data centers that run the sector’s complex models.
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Strypey
in reply to Joseph Dickson • • •@josephdickson
> AI industry would need trillions of dollars in investment to support the development of in-demand chips needed to power the electricity-hungry data centers that run the sector’s complex models
And here we see the little people inside the Mechanical Turks. The whole "AI" thing is a way of artificially generating huge demand for something the DataFarmers want to build anyway; hyperscale datacentres;
techwontsave.us/episode/241_da…
It's the digital equivalent of corn ethanol.
@scalzi
Data Vampires: Going Hyperscale (Episode 1) - Tech Won’t Save Us
Tech Won't Save Usjoene 🏴🍉
in reply to Scalzi • • •Well... yes, and how!
todon.nl/@joenepraat/113901326…
joene 🏴🍉
2025-01-27 16:45:07
Nicky🦨✌️
in reply to Scalzi • • •Lazarou Monkey Terror 🚀💙🌈
in reply to Scalzi • • •Anarchic Teapot ⚧️
in reply to Scalzi • • •Darwin Woodka
in reply to Scalzi • • •Softwarewolf
in reply to Scalzi • • •Sensitive content
It's interesting IMO because:
- You can run the smallest model on a Ras Pi with no internet connection.
- It prints its "train of thought".
- The models are all open source.
I have no love of China, or of how the tech industry has watered machine learning down to "everything is a shitty chatbot", but I can't deny that this is an impressive breakthrough and I hope it's enough to help drive real innovation in ML.
On the other hand, I also realize this is probably going to buoy the grift even longer.
@990000@mstdn.social
in reply to Scalzi • • •