TypeSafe
4 articles tagged with TypeSafe
Amazon open-sources Strands Decider 2B, a small decision model built on a Qwen3.5-2B base
Amazon Web Services has released Strands Decider 2B, an open-source model that chooses among pre-decided options and returns a confidence score instead of generating text. It is inspired by TypeSafe's Jev and is small enough to run locally. Amazon says it briefly topped the Jevbench ranking for models of its size.
OpenAI Launches Decisions API, a Fast Classifier Built on Luna Model, Echoing TypeSafe's Jev
At Dev Day, Sam Altman revealed OpenAI's new Decisions API, which narrows its Luna model to predefined choices for fast, cheap classification. The move closely mirrors Jev, a specialized decision model from startup TypeSafe AI released weeks earlier.
Ollama v0.35.0 Adds Decision Models API for Classification and Routing Tasks
Ollama v0.35.0 adds a new /v1/systemone endpoint for decision models, which return structured choices, probabilities, and scores instead of generated text. The release also fixes stalled MLX downloads and macOS update notification bugs.
TypeSafe Launches Jev, a Non-Generative 'Decision Model' Claiming Up to 200x Faster, 400x Cheaper Than Small LLMs
TypeSafe, founded by ChatGPT co-inventor Diogo Almeida, launched Jev on September 15, 2026 — a model that cannot generate free-form text but claims to classify, route, and score 20-200x faster and 40-400x cheaper than small frontier LLMs. Trained via a new method called RLCD, Jev targets production systems that use LLMs purely as structured judges or routers.