Anthropic published three metrics to help AI companies monitor their own development pace. The metrics track AI-led research, oversight of AI agents, and compute allocation. These are not external benchmarks. They are internal measurements for companies to watch themselves work.
Imagine paying someone to stand in your office and count how many times you delegate tasks to a robot. That's metric two. Metric one measures whether the robot did research. Metric three tracks whether you gave the robot enough electricity to function. Anthropic calls this framework helpful. Most people call it a list.
The company didn't release a scoring system. They didn't publish thresholds for concern. They handed AI labs a clipboard and said start writing things down. This is the corporate equivalent of a participation trophy except the participation is mandatory and the trophy is a spreadsheet.
Retail traders will read this headline and assume Anthropic cracked the code on AI safety. They'll buy shares in anything with the word compute in the prospectus. They'll lose money on companies that measure how often their chatbot answers emails. Then they'll blame the Fed.
The real joke is that Anthropic needed to announce this at all. If your AI development pace requires three proprietary metrics to monitor, your development pace is either too fast or you're getting paid by the metric. Either way the solution is not a press release. The solution is deciding whether you trust the thing you built.
But that would require answering a question instead of measuring one. And measurement is so much easier when you get to define what counts.
Photo by Brecht Corbeel on Unsplash
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