It’s a long term pattern. When you’re winning (Anthropic), you keep the tech closed and try to monetize it as much as possible. When you’re losing (Meta), you open it up or drag it into a standards committee to either devalue it or slow the leader down while you prepare a “standard” version of it. You also highlight how altruistic and morally good you are for having done so. There is nothing new under the sun. It’s all a game.

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sanderjd 42 minutes ago | parent | next [-]

Yes, but it's good for everyone that the strategy of attempting to commoditize the cash cow of a competitor exists.

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overfeed an hour ago | parent | prev | next [-]

> ...drag it into a standards committee to either devalue it or slow the leader down

Anthropic et al recently proposed a supranational AI governing body designed to slow everyone down (euphemistically calling it "AI pacing"). Are the Pacer signatories losing?

	▲	skohan an hour ago \| parent [-]
		That could be a move towards regulatory capture. Enact standards that they (and OpenAI) largely control, block access to Chinese models in the US, and effectively prevent challengers from catching up. At the same time they slow down the arms race, so they can back off on training Capex without losing their lead.

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basch 5 hours ago | parent | prev [-]

No. Opening it is to commoditize and reduce the price to use. This increases participation and creates new consumers and demand. Demand creates justification for further creation.

All the participants know it’s both a race to the bottom and a competition for premium tier at the same time. It’s two different games, meta in only really playing one of them successfully.

	▲	Melatonic 2 hours ago \| parent [-]
		I suspect its also because Facebook has the infrastructure to do this. One thing they have done from the start is quite good infrastructure without outsourcing to any of the big cloud providers. I cant imagine demand / bandwith / compute use is increasing much for Facebook itself so they probably have the money and time to dedicate to scaling up for AI research.