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Databricks 的 Ghodsi：多数企业不会注意到前沿模型停止进步
Databricks 的 Ali Ghodsi 在 a16z 访谈中表示，模型已经足够聪明，但缺乏组织内部上下文——没有参加过每次会议、不了解流程和员工头脑中的知识。他认为把这些上下文融合进模型能带来巨大生产力提升，而这并不需要更聪明的模型；即使前沿不再推进，对全球绝大多数组织也影响不大。
AI推荐理由 Databricks CEO Ali Ghodsi 在 a16z 访谈中提出一个具体判断：多数企业尚未从 AI 中获得价值，瓶颈不在模型智能，而在组织内部上下文（会议、流程、隐性知识）无法被模型吸收；因此即使前沿模型停止进步，对大多数组织影响有限。这是来自一线厂商高管的可引用观点，但属于访谈转述而非可验证数据，且为同一访谈的片段，信息密度有限。
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正文
Databricks' @alighodsi on why most companies wouldn't even notice if frontier AI models stopped advancing:
"The models are smart enough, but they just don't have the context that exists inside any organization. They have not been in every meeting. They don't know what's in everybody's heads. They don't know all the processes."
"There's always a couple of employees who know everything in every organization. You go tap on their shoulder, and everybody's like, 'Oh my God, what would happen if he or she quits?' [The models] don't have that context."
"If you just fused that and gave that context to the AI models... I think there are so many productivity gains you could get for any organization on the planet. For that, we actually don't need smarter models."
"We don't need a smarter model that can solve Navier-Stokes or conjectures or do better on Humanity's Last Exam."
"If the frontier doesn't advance, it doesn't actually matter, I think, for the vast majority of organizations on the planet. They're just so far behind in the adoption curve of actually automating things and getting value out of this stuff."
@alighodsi