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On October 28, 2026, Ma Dongxi (Dongxi NLP) published reading notes sharing his summary of an article on the organizational management of frontier AI teams. The notes propose that the core language modeling team should always remain small, even as the company as a whole expands rapidly; pre-training planning should be few and large, while post-training can iterate relatively continuously. He also emphasized that engineering and training should not be overly separated, and argued against releasing too many models, advocating for a fixed training schedule and having fewer but more capable models. Currently, this share consists only of one post published by him personally, with no other sources following up or institutional response.
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Oct 28
Ma Dongxi NLP
Ma Dongxi reads: How frontier AI teams manage
Ma Dongxi (Dongxi NLP) shares notes from reading an article on the organizational management of frontier AI teams: the core language modeling team should always remain small, even as the company as a whole expands rapidly; pre-training planning should be few and large, while post-training can iterate relatively continuously. He also emphasizes that engineering and training must not be overly separated, and argues against releasing too many models, advocating for a fixed training schedule and having fewer but more capable models.