# 奥特曼：推理需求将支撑前沿模型训练成本

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-08-08 23:43
- AIHOT 分数：45
- AIHOT 链接：https://aihot.virxact.com/items/cmskko849076vroyzagscy3cw
- 原文链接：https://x.com/rohanpaul_ai/status/2086116218176667814

## AI 摘要

Sam Altman 表示，OpenAI 未来海量的模型使用量将足以支撑前沿模型训练，无需依赖超高利润率。他预计智能本身将变得可替代，持久优势将转向拥有最大、最便宜算力集群的运营方。知识蒸馏的威胁也将因能力复制压低价格、而 OpenAI 总使用量增长快于利润率下降而减弱。

## 正文

Sam Altman on how enormous inference demand will finance OpenAI's frontier training without requiring high margins.

"We will have so much usage of our models that we do not need to be a gigantically high-margin business to be able to afford model training.

So much of our future compute plans will be used to sell inference to customers that, even if we can enjoy a modest margin on trillions of dollars of revenue, we can afford to train some giant models."

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He even expects intelligence itself to become fungible, shifting durable advantage toward whoever operates the largest, cheapest compute fleet.

Distillation becomes less existential if copied capabilities compress prices while OpenAI's total usage expands faster than its margins shrink.

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From "Invest Like The Best" YouTube channel, (full video link in comment)