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Comment on Kimi K1.5: Scaling Reinforcement Learning with LLMs

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Is it fair to say that 2 of the 3 leading models are from Chinese labs? It's really incredible how fast China has caught up.

Its not all that surprising that the country with 20% of the population of earth has some smart people in it. What is, I think, surprising and fascinating is how China has been focusing on doing more with less - their underdog position w.r.t. hardware has pushed a huge focus on model efficiency and distillation, to the benefit of us all.

I think its a distinct possibility that while the first AGI to say 'hello world' might do it in english, the first open source AGI running on consumer hardware will probably say it in mandarin.

Its not all that surprising that the country with 20% of the population of earth has some smart people in it.

where’s india's reasoning models? what about entire continent of africa? i’d be curious if they even have a single h100 on the continent

India's smartest people moved to the US

I guess central planning can be very effective when playing catch up on greenfield projects of massive scale

Well DeepSeek hasn't really caught the eye of the leadership before they released R1.

DeepSeek is a scrapy tech startup fully funded by a successful hedge fund owner without any cooperation with the government.

Meanwhile OpenAI's board includes the most recent head of the NSA and Altman just announced he'll be in DC pandering to Trump next week.

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