AI 导读
Elvis Saravia 转发并评论 Revolut 将约 2000 名工程师迁移到自托管 GLM 进行编码,Claude Code 和 Codex 被列为例外。据其 AI 运营负责人 David Abitbol,56 块 Nvidia B200 上每百万 token 综合成本 30 美分,约为之前支付 Anthropic 和 OpenAI 的十分之一,工程交付时间缩短 70%;作者认为拥有智能栈正成为企业保持竞争力的关键。
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Own your intelligence stack, folks!
Revolut joins the ever-growing list of companies that see owning the intelligence stack as paramount to staying competitive.
That's the role open-source AI plays today.
If you think of companies as mini-AGIs, you quickly realize the importance of owning the intelligence stack.
BREAKING: Revolut moved ~2,000 engineers onto self-hosted GLM for coding and pushed Claude Code and Codex to the exception list. Per David Abitbol, who leads AI ops there: 56 Nvidia B200s, a blended 30 cents per million tokens, roughly a tenth of what they paid Anthropic and OpenAI. Engineering lead time improved 70%. Here's the part that matters: the gains showed up when tokens stopped being rationed. Engineers quit saving AI for the hard tickets and pointed it at everything. Frontier models become the exception, open weights become the default. That's a pricing problem for every lab heading to IPO. h/t @OliverMolander Would you move your team off frontier APIs if the bill dropped 90%?在 X 查看被引用的帖子
来源:elvis · x.com