Speculative decoding, the trick most inference stacks lean on, is 2.9x faster at batch 1 and loses…
speculative decoding, the trick most inference stacks lean on, is 2.9x faster at batch 1 and loses past batch 32, and a drafter with 19 percent acceptance actively slows you down 12 percent, per the new speed-bench. the fastest path depends on your batch size, not your model. most teams are optimizing the wrong regime.
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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.
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