Okay so Jev can actually do computer use really well

Fed Jev only OCR labels from on-device UI detection and had it return the best element to click, looping at ~90 ms per decision.

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Okay so Jev can actually do computer use really well

Without any screenshots, or LLMs and no Pixels leave my mac

I dont even read the Dom elements

A local CoreML model segments every button and UI element on screen.

On-device OCR reads the labels. That text is all Jev gets.

It returns a probability across those elements and tells me the best one to click.

Then it clicks, re-runs detection, and decides again. In a loop until the goal is done.

~90ms per decision. Faster than any LLM computer use I've tried.

Blazing fast computer use, without any latency

@typesafeai is building something really interesting

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After 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

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