Jev is actually insane.
Benchmarked 500 parallel agents in a 3D environment, hitting 500ms average latency and 35 API calls per second with no optimization.
The original post
Jev is actually insane.
We benchmarked it, and the results completely change the game for us:
> 500 real-time agents
> running in parallel
> in a 3D environment
The preliminary results are crazy:
> 500ms average latency
> 35 API calls/s
> all with a naive implementation
We did 0 optimizations!
The bottleneck is not Intelligence latency anymore.
It's the first System 1 LLM. Crazy times.
Quoted post
@CompleteSkeptic34.6M viewssourceAfter co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under games & playable demos, agents & workflows, coding & developer tools, video, animation & media. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the games & playable demos page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post