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Again, although, whereas there are large loopholes in the chip ban, DeepSeek Chat it seems prone to me that DeepSeek r1 accomplished this with authorized chips. CUDA is the language of choice for anyone programming these models, and CUDA solely works on Nvidia chips. US export controls have severely curtailed the power of Chinese tech companies to compete on AI within the Western way-that's, infinitely scaling up by shopping for extra chips and coaching for a longer time period. As an illustration, almost any English request made to an LLM requires the model to understand how to talk English, however nearly no request made to an LLM would require it to know who the King of France was within the 12 months 1510. So it’s quite plausible the optimum MoE should have a few specialists which are accessed a lot and store "common information", while having others that are accessed sparsely and retailer "specialized information".

우리나라의 LLM 스타트업들도, 알게 모르게 그저 받아들이고만 있는 통념이 있다면 그에 도전하면서, 독특한 고유의 기술을 계속해서 쌓고 글로벌 AI 생태계에 크게 기여할 수 있는 기업들이 더 많이 등장하기를 기대합니다. Third is the truth that DeepSeek pulled this off despite the chip ban. Chip consultancy SemiAnalysis suggests DeepSeek has spent over $500 million on Nvidia GPUs to this point. This is probably the largest factor I missed in my shock over the reaction.