Original post · AI translation
Anthropic 自己的 AI 已经在完成构建其下一代模型所需工作的 26%（RSI）。
“如果回到 8 月，Anthropic 发表了一篇非常有意思的博客文章，谈到他们如何使用 RSI。
他们有一张图表显示，在尝试创建下一代模型所涉及的任务中，有 26% 已经在使用 RSI 来完成。
那还是 8 月的情况，所以现在到了 10 月，谁知道他们已经达到什么程度了。”
— @DavidSacks
----
完整视频见“YouTube 上的 All-In Podcast 频道”（链接在评论中）
Original
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)
完整视频见 YouTube 上的“All-In Podcast”频道
https://t.co/2FT0EuIwBz
Original
Full video on "All-In Podcast" YouTube channel https://t.co/2FT0EuIwBz
Anthropic 最担心的是算力，而不是客户。
Chamath 让他的团队统计 Anthropic 风险因素中各类词语的出现次数：算力（数据中心、电力、芯片）得到的关注比其他任何因素都多，其次是监管，而客户需求和员工离职几乎没有出现；这表明这项业务唯一真正的限制是物理产能。
----
完整视频见“YouTube 上的 All-In Podcast 频道”（链接在评论中）
Original
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)