The model is cheaper than the deployment
the model is cheaper than the deployment: llm inference eats 70 to 90 percent of enterprise ai operational cost, api prices dropped about 80 percent since early 2025, and deepseek charges 14 cents a million input tokens while a frontier flagship runs hundreds of times more. renting the model can cost 50 times less than renting the gpu.
the math is deciding which models get used.
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The note above is reproduced unedited from the original post, first published on Threads on 2 October 2026 at 19:45 IST.
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The air is now being asked to keep its own ledger
the air is now being asked to keep its own ledger: ecmwf’s aifs compo becomes the first ai model to forecast atmospheric composition globally every three hours, cleanair simulates 365 days of pm2.5 over china in ten seconds, and a unified framework maps six pollutants at one kilometer across the whole country. the air now files its own composition report.
read the note →The current is now being asked to draw its own map
the current is now being asked to draw its own map: china’s langya 2.0 predicts six ocean phenomena including internal waves and mesoscale eddies, a deep net called wenhai resolves eddies globally with air sea flux formulas built in, and scripps infers surface currents from the way temperature patterns deform in satellite images. the ocean now files its own circulation report.
read the note →The soil is now being asked to report its own carbon
the soil is now being asked to report its own carbon: a nix color sensor paired with generative data augmentation predicts soil organic carbon without a lab, random forest drives 74 percent of soil health mapping studies, and sentinel 2 tracks five year carbon change across france and italy from 922 samples. the dirt now files its own carbon account.
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