A new Western open weightsA model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.Full definition →mixture-of-expertsA model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.Full definition → model (501B total, 23B active) targets coding and agentic work, with inferenceRunning a trained model to get answers — the phase where AI is actually used, as opposed to trained.Full definition → efficiency as its pitch. Weights are due this month, so self-hosting teams can plan evaluations now.
Terms in this piece · Glossary
mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
