TypeSafe AI

11 stories

TypeSafe AI is a San Francisco startup founded by a former OpenAI researcher whose main product is Jev, a decision model that returns probabilistic numbers instead of generated text and charges $0.042 per million input tokens. Coverage has focused on Jev's rapid uptake, including use by 35% of paid teams on Vercel within two weeks and a roughly $870 million round led by Andreessen Horowitz at a $7.5 billion valuation, alongside rival releases such as OpenAI's Decisions API and Cloudflare's Clef, and skepticism about whether Jev is a new model class.

Related topics

Vercel data: Jev is fastest-adopted AI model ever

Vercel's AI gateway data shows Jev, a lightweight decision model from TypeSafe AI, was used by 35% of paid teams within two weeks of launch, nearly double the reach of second-place Sonnet 5.5 — the fastest two-week adoption Vercel has recorded. Released in limited form on September 15, Jev constrains outputs to run cheaper and faster for classification, prompting rival offerings from OpenAI and Amazon. Open source models now account for over 70% of tokens but under 25% of spend on the gateway.

TechCrunch ·

OpenAI's Decisions API: a Jev clone for fast agent decisions

At Dev Day, Sam Altman introduced OpenAI's new Decisions API, which gives the Luna model a predefined set of choices for tasks like image classification or agent behavior, making it very fast while retaining image understanding and safety. The product resembles Jev, released this month by TypeSafe AI, which developers use to augment LLMs more cheaply and quickly. OpenAI has released it only as a limited preview.

TechCrunch ·

Skepticism Over Jev: Old Tech Marketed as New AI Paradigm

A critique argues Jev is not a new class of decision model: its zero-shot classification behavior already exists in NLI classifiers, embedding models and rerankers, and it cannot generate autoregressively or emit invalid classes. Marketing comparisons against LLMs tout speed and cost but lack benchmarking on suites like BTZSC; in one Banking77 test, BGE-small plus logistic regression scored 93.3% versus Jev's 83.2%. The '0% hallucination' claim only guarantees outputs match the allowed schema, not correctness.

r/LocalLLaMA ·

Developer Says His Non-Autoregressive Decision Model Was Rebranded a Breakthrough

A developer says he released an RL-based non-autoregressive decision model, Laya, back in March 2025 via an arXiv paper, Hugging Face weights, and an open dataset—sub-35ms inference across 100+ languages. He criticizes frontier lab TypeSafe AI, founded by a former OpenAI member, for launching a similar product, Jev, in September 2026 as a brand-new breakthrough without papers, open weights, or training data.

Hacker News ·
That is everything