80 real exam questions and 297 practice ones, ranked in 80 seconds.
Hamed Valigholizadeh gave Jev 80 real exam questions and 297 practice ones. In 80 seconds it told him which are most likely to appear on the real exam and which are not. The run cost $0.0256.
A worked guide to Jev's Score primitive: writing a request, defining rubric levels, reading recorded probabilities and the weighted-score math.
Jev Trader · Research & data
Jev Trader
Guide
Research & data
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Sends a detected bot's last 48 request paths to Jev, which picks what it's after (prices, articles…) and how it crawls (pagination, IDs…), or unknown.
WebDecoy · Research & data
WebDecoy
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Paste an article or post link. Fake / Real extracts its claims, finds outside evidence, and has Jev judge whether the evidence supports or contradicts each one.
@DansiDanutz · Research & data
@DansiDanutz
Site
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Combines rubric science and LLM-as-a-judge research to grade outputs with AI judges: LLMs, decision models like Jev, or both.
@deliprao · Research & data
@deliprao
Site
Research & data
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JEV IS INSANE. I gave it 80 real exam questions and 297 practice ones. In 80 seconds, it told me which ones are most likely to appear on the real exam and which ones aren’t. All for $0.0256. Can't stop playing with @typesafeai 😁
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
