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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分13

All-In Podcast 嘉宾称 Anthropic 风险披露更关注算力

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AI 导读

一段 All-In Podcast 视频的转述称,Chamath 的团队统计了 Anthropic 风险因素中的用词,发现数据中心、电力和芯片等算力问题受到最多关注,其次是监管;客户需求和员工离职较少出现。这是嘉宾对披露文本的解读,不能据此确定 Anthropic 业务的实际瓶颈。

原帖引用 · 原文

@rohanpaul_ai

https://t.co/Qay7SFspAd

回复Rohan Paul@rohanpaul_ai
Anthropic's own AI was already doing 26% of the work to build its next models (RSI). "If you go back to August, Anthropic published a very interesting blog talking about how they were using RSI. They had a chart showing that 26% of their tasks that are involved in trying to create the next generation of models, they were already were using RSI to do that. Now, that was back in August, so who knows what they're at now, being in October." - @DavidSacks ---- Full video on "All-In Podcast" YouTube channel, (link in comment)
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引用Rohan Paul@rohanpaul_ai
Full video on "All-In Podcast" YouTube channel https://t.co/2FT0EuIwBz
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相关上下文Rohan Paul@rohanpaul_ai
Anthropic's biggest fear is compute, not customers. Chamath had his team count the words in Anthropic's risk factors: compute (data centers, power, chips) gets more attention than anything else, followed by regulation, while customer demand and staff leaving barely appear, which shows the only real limit on the business is physical capacity. ---- Full video on "All-In Podcast" YouTube channel, (link in comment)
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来源:Rohan Paul · x.com

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