Every tests a probability-output foundation model: 25x faster, 600x cheaper than Fable as a judge
danshipper · x · 2026-09-16
Every has been testing a new kind of foundation model that outputs probabilities instead of words, pitched as a code-linter for knowledge work. It can act as a judge for questions like whether code meets standards, whether writing contains AI-isms, or whether a tweet is interesting. In testing it read the author's entire written corpus and checked it for 21 AI writing tells in under a second, running about 25x faster and 600x cheaper than Fable for similar jobs. The author calls it one of the rare new foundation-model flavors that's genuinely impressive.
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