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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score13

All-In Podcast guest says Anthropic’s risk disclosures focus on computeMachine translation

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A summary of an All-In Podcast video says Chamath’s team counted words in Anthropic’s risk factors and found that compute concerns, including data centers, power and chips, received the most attention, followed by regulation. Customer demand and staff departures appeared rarely. This is a guest’s reading of the disclosures, not proof of Anthropic’s actual business constraint.

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ReplyRohan 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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QuoteRohan Paul@rohanpaul_ai
Full video on "All-In Podcast" YouTube channel https://t.co/2FT0EuIwBz
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Related contextRohan 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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