decision models

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The Maker of Non-Text AI Model Jev Valued at $7.5B Just Weeks After Launch

TypeSafe AI, maker of the non-text decision model Jev, raised $870 million at a $7.5 billion valuation on 9 October, led by Andreessen Horowitz with Sequoia and DCVC. The seed price behind the 37.5x step-up was struck more than a year ago, the round closed 25% below the $10 billion reported in September, and at list price a trillion tokens a day earns about $15 million a year. We set out the arithmetic, the conflicting Fortune 500 figures and what the round means for teams buying Jev.

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Microsoft Launches Decision-1 and Google Rolls Out Gemini Thinking Levels

Microsoft’s Decision-1 scores a fixed set of answers instead of writing text, at $0.042 per million input tokens, while Google’s new Gemini thinking levels let users and developers dial reasoning effort to Low, Medium or High. We explain both launches, check Microsoft’s benchmark claims against H2O.ai’s objections and an earlier version of its own blog post, and work through what each option costs.

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As AI Agents Grow, Vendors Carve Out Decision-Making as a Separate Model Layer

AWS, Cloudflare and OpenAI have joined TypeSafe in shipping decision models, small models that make the bounded choices inside AI agents while a larger model does the reasoning. InfoWorld’s sources warn the new layer brings stack sprawl, confidence scores that do not transfer between vendors, and decision schemas that encode business policy. We compare Jev, Clef, Strands Decider 2B, GLiNER2.5-Decide and the Decisions API on price and latency, then set out the calibration, governance and cost-per-decision work that decides whether the savings hold.

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Startup TypeSafe AI’s Jev Model Sparks Copycats, Talk of LLM Alternatives

Three weeks after TypeSafe AI released Jev, the Wall Street Journal says the decision model is sparking copycats and talk of alternatives to large language models. We cover the new adoption and funding figures, every major Jev alternative from Amazon, Cloudflare, OpenAI, Databricks and the open-source community, how they compare on speed, price and accuracy, and how teams should choose between them.

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A ChatGPT Inventor’s New Kind of AI Model Is Thrilling Developers

Jev reached nearly 13% of Vercel’s paid teams within twenty-four hours, more than double any previous model launch on the AI Gateway, and TypeSafe AI briefly ran out of API capacity. Vercel, Bryo AI and Earendil have now said publicly what they measured. An independent phishing benchmark scores the same model at 62.6% or 95.0% depending only on how the question is framed, and the out-of-distribution calibration numbers decide whether any of it survives contact with your data.

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ChatGPT Pioneer Launches Jev Model for Programmatic Logic

TypeSafe AI has left stealth with $40 million led by DCVC and Jev, a model that does not chat, write code or generate a single word of prose. Founded by InstructGPT co-author Diogo Almeida, it returns typed decisions with calibrated probabilities in 70 to 500 milliseconds, at $0.042 per million input tokens with output billed at nothing. The speed and cost claims survive outside testing; the accuracy question does not get a clean answer.

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