A researcher evaluated Jev, TypeSafe's 'System One' classifier model built by attaching a classification head to a pretrained transformer, to see how well its output probability distributions match known physical answers. The test used questions with mathematically established solutions, such as the Maxwell-Boltzmann velocity distribution for a particle in thermodynamic equilibrium, comparing Jev's predicted probabilities against the known correct distributions. The author notes the entire experiment series cost less than $4.00 to run.
maximumeffort.substack.com
· 2026-10-02
Cloudflare has launched Clef and Clef-flash, two decision models hosted on Workers AI and compatible with the Jev API. The company says Clef currently leads the Jev Decision Index benchmark, and both models are open-sourced on Hugging Face under an Apache 2.0 license. Cloudflare also introduced a reinforcement learning product that lets customers fine-tune Clef for their own use cases.
blog.cloudflare.com
· 2026-10-01
TypeSafe AI has released Jev, its first 'System One' model designed not for conversation but for evaluating statements and making structured decisions for use in software systems. Built by former OpenAI researcher Diogo Almeida, the model claims to be up to 194x faster and 445x cheaper than frontier LLMs like GPT-6 Astra by processing parallel yes/no style queries with confidence scores instead of generating open-ended text.
tomshardware.com
· 2026-09-21
A developer has released Kev, a family of small decision-making models (0.8B, 4B, and 9B parameters) built on Qwen3.5, inspired by the architecture behind Jev. The models handle yes/no, multiple-choice, and rating questions within a single request and are compatible with TypeSafe's System One API, meaning developers can run Kev locally instead of relying on that hosted service. Full training code, evaluation data, and a web playground are included, and the models run on both CUDA and Apple Silicon hardware.
github.com
· 2026-09-21
TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, has released Jev in early access, a new type of AI model designed to make fast structured decisions rather than generate text. The company says Jev matches existing large language models on decision-making tasks while running 20-200 times faster and 40-400 times cheaper, using a new architecture and a training method called Reinforcement Learning for Calibrated Decisions.
typesafe.ai
· 2026-09-15
GoKawiil