Checks each agent action first: most attacks caught, almost no false blocks.
Nick tested Jev as a safety monitor for an AI agent, checking each action before it runs. He reports that it caught most attacks with almost no false blocks, and was much faster than Gemini.
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
@gregpr07 · Agents & browsers · ~$0.004 · ~7 s
@gregpr07
X post
Agents & browsers
~$0.004
~7 s
# Jev: AI Decisions as a Typed Function Call What I learned using TypeSafe's Jev for code review, and why its more surprising uses are browser control and generative UI.…
stacktoheap.com · Agents & browsers
stacktoheap.com
Resource
Agents & browsers
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Chrome extension that labels every post you scroll past on X with six typed questions per post, and counts what it costs in the corner.
oso95 · Agents & browsers
oso95
GitHub
Agents & browsers
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Chrome extension that scores draft posts and reply context before posting; optional media descriptions come from a separate vision model.
RafalWilinski · Agents & browsers
RafalWilinski
GitHub
Agents & browsers
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Tested TypeSafe’s Jev (no-text, probability-only model) as an AI agent safety monitor. Checking each action first worked well caught most attacks with almost no false blocks, and much faster than Gemini.
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
