这段历史对 AI 从业者很有启发——当主流共识说“不可能”时，OpenAI 选择了逆势押注 scaling。做 AI 研究或创业的人看完会重新思考“共识”与“创新”的关系。
Sam Altman 在 TreeHacks 访谈中回顾了 2014 年 OpenAI 创立初期的艰难处境。当时业界普遍认为 AGI 还需 100 年，OpenAI 的愿景被资深人士斥为“疯狂”和“骗局”。Altman 表示，他们选择押注“扩展深度学习”这一当时不受欢迎的方向，坚信增加算力能带来更好结果。尽管当时尚未发现 scaling laws 的精确规律，但团队决定全力推进。这段历史揭示了 OpenAI 早期信念与主流认知的巨大差距。
Sam Altman talks about how in 2014, the so-called …
Sam Altman talks about how in 2014, the so-called "elderly" in the field thought the idea of OpenAI is baseless.
"In 2014, we started saying, "You know, we should really do something about this." It was incredibly unpopular at the time. We had said we want to make an AGI lab, and all the elders of the field were like, "You're insane. You're a scammer."
This is because, at the time, people thought AGI was 100 years away and none of these approaches were going to work. We really said, "Let's just push on this one idea that scaling deep learning seems to matter."
We didn't know at the time how beautifully predictable the scaling laws were, but it was at least clear back in those days that if you threw more compute at something, you got better results most of the time.
We kind of just decided we were going to push on it as far as we could."
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From 'TreeHacks" YT channel (link in comment)