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uu.kyung

@uu.kyung

6 years ago

Photo by @uu.kyung on December 31, 2020.

Photo by @uu.kyung on December 31, 2020.

Photo by @uu.kyung on December 31, 2020.

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Posted On: December 31st 2020, 01:06 pm

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@josep_kimm

10월 24일 올해 가장 잘한 일 🤵🏻‍♂️♥️👰🏻‍♀️

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dawoons2_

6 years ago

dawoons2_

두번째 사진 진짜 여신아니냐구요오오🙊 사댱님 새해 복 많이많이 받으세요🥰

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Revolut engineers were spending up to $10,000 a month on AI tools. Now the company says it has cut its AI coding costs by 90%.

The fintech has moved much of its coding workload from Anthropic's Claude Code and OpenAI's Codex to GLM-5.3, an open AI model developed by Chinese company Z.ai.

Instead of paying for access through external providers, Revolut runs the model on 56 NVIDIA B200 GPUs, serving around 2,000 engineers.

According to Revolut's AI operations lead, the company now spends roughly $0.30 per million tokens, about one-tenth of what it previously spent on Anthropic and OpenAI.

The company also reports a 60% improvement in coding time and a 70% improvement in the time needed to deliver software changes.

Revolut still uses Claude Code, Codex and Gemini for certain tasks, but its own GLM system now handles much of the work.

Safe to say this could become a nightmare situation for OpenAI and Anthropic if more companies start switching to Chinese AI models.

What are your thoughts on this? 🤔💬