OpenAI’s Jev clone could help the frontier lab stop its swarming agents
- ID
- 30432
- Status
- summarized
- Published
- 01 Oct 2026, 3:00 AM
- Fetched
- 01 Oct 2026, 3:20 AM
- Provider
- TechCrunch
- Category
- technology
- Original URL
- https://techcrunch.com/2026/09/30/openais-jev-clone-could-help-the-frontier-lab-stop-its-swarming-agents/
- Source URL
- https://techcrunch.com/feed/
Summary
- Score
- 6.0
- Created
- 01 Oct 2026, 3:20 AM
- Tags
- Audience
- developersai_ml_learnersai_agent_userssaas_founders
What happened
At OpenAI's Dev Day, Sam Altman revealed a limited-preview "Decisions API" that gives the Luna model a predefined set of options to pick between — image categories, agent behaviors — and returns that choice fast. It looks like a clone of Jev, a model released earlier in September by TypeSafe AI that acts as an LLM-based classifier outputting probabilities over a fixed choice set cheaply and at high speed. TypeSafe CEO Diogo Almeida joked on X about "clone wars" and said OpenAI's interest could signal that building in a "System One" (fast, intuitive) way is the future; TechCrunch notes it's unclear how close the two products are, and hasn't yet spotted developers using Decisions API.
Why it matters
If you're paying per-token for agent routing or classification steps, the pitch here is real: Jev-style endpoints replace an open-ended generation call with a probability over a fixed list of choices, which developers using Jev reportedly found faster and cheaper than augmenting an LLM. OpenAI's version is limited preview with no public developer reports, so don't re-architect on it yet — but it's worth benchmarking Jev on your own routing/classification workload now, since that one is already shipping.
Discussion angle
Where in your agent pipeline would you swap an LLM call for a fixed-choice classifier — and what breaks when the right answer isn't in the option list?