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[–] 9 points 6 hours ago* (last edited 6 hours ago) (2 children)

Except small local LLMs probably aren't good enough to carry autonomous tasks correctly (even stuff like Haiku 4.8 from Anthropic makes mistakes quite often) and good luck getting something the size of Opus working in a soda machine. They may not even be able to lay low correctly. But then again these companies have internal models which are atleast couple generations ahead of what is publicly available so maybe they have more efficient smaller ones too? I somehow find it hard to believe but I guess we will see.

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  • [–] 5 points 3 hours ago* (1 child)

    But then again these companies have internal models which are atleast couple generations ahead of what is publicly available

    But do they actually? The release cycle and also how often there were obvious flaws in the releases suggest that they are all fighting aggressively for market shares and release every new perceived improvement as it comes to try to stay on top.

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  • [–] 1 point 2 hours ago

    The math problems they have been solving lately suggests that they do. But then again they throw thousands of agents at the problems to get them solved so I don't know how much if it is a number thing and how much is a model thing.

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