CONTROLSecurity & safety

Air Defence Simulation with Jev

Anmoldeep Singh@anmold_s

Play video0:13

Original post ↗

19 views · 1 likes on X · does not affect score

Developed an air defence simulation using Jev, enabling users to query aircraft information, threat levels, and probabilities through typed questions without prior training, achieving 21 decisions in approximately 400ms.

TakeJust typed questions per aircraft: - what is it? (choice) - how dangerous? (score 0–4) - threatening us right now? (probability) 21 decisions in ~400ms.

Related builds

Play video

Jev Decision Layer for Voice Pipelines

Jev acts as a decision layer in voice pipelines, utilizing typed primitives like Noul (yes/no with probability), Choice (labeled decision), and Score (scalar on a defined rubric) to process conversational turns before and during LLM responses.

Himanshu@Fabulous_7781

72 views on XJev score 76

pi-jev-browser

An installable browser agent that uses structured DOM observations and a Jev mechanism for decision-making, avoiding costly screenshots.

laihenyi@laihenyi

133 views on XJev score 76

Play video

Jev: Decision Intelligence Model

Jev is a decision-making AI model that provides typed answers with probabilities and confidence scores, trained using RLCD for reliable probability interpretation, and is significantly faster and cheaper than traditional LLMs for specific tasks.

Alcides Ticlla@AlcidesTicllaCh

46 views on XJev score 73

Play video

You may have heard of Jev, the new model from @typesafeai .

Because every prompt has a label, Jev Wall scores Jev live as it runs.

Sagar Mainkar@sagar_maverick

6 views on XJev score 72