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Musubi unveiled PolicyLM-1.7B, a lightweight decision model built to moderate content in under 50 milliseconds using plain-English policies, and released it with open weights. The company says it matches the cost and speed of existing moderation classifiers but can adapt to new rules without retraining, unlike conventional systems.
TypeSafe AI released an AI model called Jev about three weeks ago. The model has already prompted other developers to create copycat versions and has stirred discussion in Silicon Valley about alternatives to large language models.
At OpenAI's Dev Day, CEO Sam Altman introduced a new 'Decisions API' that lets developers give the company's Luna model a predefined set of options to choose from, such as image categories or agent behaviors, returning fast, low-cost outputs. The tool appears similar to Jev, a classifier model released earlier this month by TypeSafe AI for software automation tasks. OpenAI's API is currently in limited preview, and TypeSafe did not respond to requests for comment on the similarities.
TypeSafe AI has released Jev, a model designed to convert natural-language input and application state directly into typed decisions, returning choices, scores and probabilities as JSON. The company says Jev uses a new architecture, a parallel sampler, and a training method called Reinforcement Learning for Calibrated Decisions to generate probabilities without token-by-token generation. TypeSafe reports significant speed and cost improvements over general-purpose LLMs for decision-making workflows.
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.
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.