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The real energy use of agentic AI / Agents use about 600x more energy than simple AI prompts
(www.theclimatebrink.com)
Discussion of climate, how it is changing, activism around that, the politics, and the energy systems change we need in order to stabilize things.
As a starting point, the burning of fossil fuels, and to a lesser extent deforestation and release of methane are responsible for the warming in recent decades:

How much each change to the atmosphere has warmed the world:

Recommended actions to cut greenhouse gas emissions in the near future:

Anti-science, inactivism, and unsupported conspiracy theories are not ok here.
Hmmmm wait a moment
The max context window of most of the big players is 1 million right now. Author almost certainly means per turn. But the whole context gets included with every prompt sent to the API. If you're using like 200k context, which is not unheard of with a large codebase and without compacting often, 2-3 million input tokens per turn to the agent is actually not THAT much. But most of it would be cached tokens, which are cheaper and presumably more energy efficient than fresh input tokens.
E.g I just had a debugging session with 6 turns, shows me about 580k input tokens, but over 20 million cached input tokens, ~60k output tokens. But it also took like an hour with all the test runs and everything. 6 prompts to a chatbot takes like a minute or two in comparison.