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Generative AI’s per-query footprint can be small compared to flying, eating meat, or even Zoom. Until agents show up and compute goes through the roof. How I updated my AI footprint calculator accordingly jonippolito.substack.com/p/agents-are...

jonippolito.substack.comAgents are where AI’s energy bill gets uglyGenerative AI’s per-query footprint can be small compared to flying, eating meat, or even Zoom. Until agents show up and compute goes through the roof.

fyi, Fable and the entire Claude line are not even mixture of experts models. Anthropic is the only frontier lab to not switch over to that architecture, because a dense model looks better in their mechinterp diagrams.

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Oh interesting – i haven't seen any of the big 3 labs being open about their architectures but that there was an implicit assumption that many used a router of some kind.  Do you have a source for that?

Active params are a useful first-order compute proxy, not an invoice. Routing, token shape, serving lane, and success rate can change the cost per useful result—so pair MoE architecture with per-task quality and realized cost, not just sparsity.