51–60 of 393 posts
I am wondering if this is why they can offer their pro model at ~1/4th of the price compared to the other providers offering the same model, and if other providers will be able to do the same in a short timeframe.
It'd presumably help a lot, but also when you use their endpoint they get more training data.
Would love to see these numbers reproduced on consumer GPUs, not just A100s.
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Chinese labs are also still behind, so they’re incentivized to collaborate and have no reason to do it in private. I suspect their tune will change if they ever take the lead..
Which is a good thing. Self-serving motives are more reliable than altruistic ones.
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Which is a good thing. Self-serving motives are more reliable than altruistic ones.
Very interesting take
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Chinese labs are also still behind, so they’re incentivized to collaborate and have no reason to do it in private. I suspect their tune will change if they ever take the lead..
> Chinese labs are also still behind, so they’re incentivized to collaborate and have no reason to do it in private. US labs in Google, Meta and SpaceX are not leading, none of them managed to build something on par with GLM 5.2. Care to explain to me why they still don't collaborate and still choose to do it in private?
I’ve been using DeepSeek v4 pro for a month now in Kilo Code and its great. Fast, reliable, large context window and cheap as… Did 1,5B tokens this month and cost me 40usd (majority cached, but still).
Is there a way to see how many tokes one does with claude code (pro)?
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Probably because American AI companies are on the hook for quite a lot of investment money. I think they are trying to find the magical moat to justify their valuation. Revealing optimizations similar to these would pretty much reduce their competitive position.
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It'd presumably help a lot, but also when you use their endpoint they get more training data.
This applies to every provider. OpenAI seems to be the worst hoarder.