> the closed labs won't catch up anytime soon

Which closed labs won’t catch up to whom?

GodelNumbering 3 hours ago | parent | next [-]

I should have expanded, but basically, the OSS models becoming more and more capable to solve all day to day SWE coding needs will take a cut from frontier labs revenue.

Not to say that frontier labs won't make progress, but the bar for a sufficiently capable agent is all the OSS models need to meet to make this happen. I imagine a lot of hybrid setups where something like Opus is used only for planning/architecture, and anecdotally, the real token consuming part is implementation not architecture.

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frank_nitti 3 hours ago | parent | prev [-]

Not my comment, but I’d venture to guess they’re referring to the likes of DeepSeek et al, who are/will be able to host their top-tier inference infra more efficiently

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seniorivn 3 hours ago | parent [-]

right now the most likely outcome is that they are going to host locally produced much more power hungry chips, and even if the lead on electricity production will stay, it will be eaten by inefficiency of the hardware.

	▲	CuriouslyC 3 hours ago \| parent [-]
		Unlikely. We have a big lead in terms of general computing devices, but China can leapfrog us with ASICs. They might still lag in the training space for a while but in terms of serving inference, USA is absolutely COOKED at the low-mid end.