Jev case: Interesting day in AI… 1.
Compared Jev's network structure for fast classification against Bonsai models that claim 98% frontier accuracy but fail real-world tests.
The original post
Interesting day in AI… 1. Jev shows different network structures for fast classification. https:// typesafe.ai/blog/introduci ng-system-one-models-and-jev … 2. Bonsai models claim 98% frontier accuracy, but fall short in real world tests. https:// prismml.com/news/bonsai-2- 27b … 🔮 Prediction 1. There will be many more different
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the classification & data extraction page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post