YouTube · Matthew Berman ·
Jev AI: 200‑400× Faster Decision Model, Zero Hallucination
Matthew Berman introduced Jev, a new AI that functions as a decision model and can be up to 200‑400 times faster than traditional large language models. The technology offers free output tokens and ensures the reliability of critical decisions with zero hallucination.
Matthew Berman introduced Jev, a new AI that operates as a decision model rather than just chat. The system is up to 200‑400 times faster than conventional large language models while providing free output tokens.
The TypeSafe system makes thousands of parallel decisions in real‑time applications, such as in Doom games or wiki networks. Jev can determine the request type and urgency within milliseconds, all while guaranteeing zero hallucination for critical decision scenarios.
Berman showcased Jev’s integration into Zapier, enabling rapid decisions across more than 9,000 apps. He gave examples of its use in Tesla’s autonomous system and Unreal Engine game control, where the model simultaneously determines action steps.
Jev AI is already being used by large companies such as NVIDIA and Shopify. In the demo shown in the video, the system quickly responds to characters in a city, demonstrating the efficiency of decision making.