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posted in Technology

sanitation@sanitation@lemmy.today
⁨19⁩d

If open weight models are the future, U.S. AI companies are going to have a hard time

www.fastcompany.com/91577359/why-u-s-ai-companies-cant-match-chinas-open-weight-frontier-models
Fast CompanyIf open weight models are the future, U.S. AI companies are going to have a hard timeOpenAI, Anthropic, and other Western labs have spent billions training the model weights at the heart of their most advanced systems.
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Greg Clarke@Greg@lemmy.ca
edited⁨19⁩d

Replying to @⁨sanitation@lemmy.today⁩

I just wish I could buy enough memory to run one of these models locally. Specially Kimi K3

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Dionysus@Dionysus@leminal.space
⁨19⁩d

Replying to @⁨Greg@lemmy.ca⁩

Same, getting ~3 trillion parameters in consumer hardware is rough.

If Nvidia has any foresight they’ll see the writing on the wall and start getting higher memory Spark style SMB inference machines, few people in the long run are going to pay retail API token costs,

⁨Jul⁩ ⁨26⁩, ⁨2026⁩, ⁨20:52⁩en
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Greg Clarke@Greg@lemmy.ca
⁨19⁩d

Replying to @⁨Dionysus@leminal.space⁩

Especially giving the lack of trust organizations rightfully have in big AI companies

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Dionysus@Dionysus@leminal.space
⁨19⁩d

Replying to @⁨Greg@lemmy.ca⁩

Exactly, having the mustard toddler pull fable because of, who knows? That burned trust in the west’s AI companies.

And there is also the question of what they’re doing with the data you send into the models.

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