@tuanluanseon: #fconline #xuhuong

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Friday 30 October 2026 09:09:57 GMT

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“standout” and “mvp” of doomsday i hear #cyclops #avengersdoomsday #jamesmarsden #xmen #scottsummers

“standout” and “mvp” of doomsday i hear #cyclops #avengersdoomsday #jamesmarsden #xmen #scottsummers

What Jev actually is, why it's so fast, and what you can build with it. Classification is as old as AI that can read: give it text, ask a question with fixed answers (complaint yes/no · which team · urgency 1–5), and the label drives a rule. The problem: we've been using models built for writing, a few seconds per answer. Jev (TypeSafe, launched Sept 15, founded by one of the OpenAI researchers behind ChatGPT's instruction-following) only decides. It never writes. Send the text once with every question; it scores every answer in one pass: yes/no, pick one, or a score, each with a confidence. 70–500 ms. Input ~$0.042 per million tokens, output free. TypeSafe measured up to ~200× faster and ~400× cheaper than top models on its own workflows, and says real-world gains are usually lower. Builders: a resume screened against 6,000+ companies in 25 seconds for $0.37; 98,000 items labeled in ten minutes. ~13% of paid Vercel AI Gateway teams used it within a day. Calibrated:

What Jev actually is, why it's so fast, and what you can build with it. Classification is as old as AI that can read: give it text, ask a question with fixed answers (complaint yes/no · which team · urgency 1–5), and the label drives a rule. The problem: we've been using models built for writing, a few seconds per answer. Jev (TypeSafe, launched Sept 15, founded by one of the OpenAI researchers behind ChatGPT's instruction-following) only decides. It never writes. Send the text once with every question; it scores every answer in one pass: yes/no, pick one, or a score, each with a confidence. 70–500 ms. Input ~$0.042 per million tokens, output free. TypeSafe measured up to ~200× faster and ~400× cheaper than top models on its own workflows, and says real-world gains are usually lower. Builders: a resume screened against 6,000+ companies in 25 seconds for $0.37; 98,000 items labeled in ten minutes. ~13% of paid Vercel AI Gateway teams used it within a day. Calibrated: "70% sure" should be right ~70% of the time, so software can act alone above a threshold and route the rest to a person. Build with it: every competitor ad, same five questions · every ticket, review, call note and CRM entry across systems, tagged the same way · an agent's actions checked before they run (LangChain already does this). Edges: text only; weak at math, counting, dates; reads your question literally; you design the questions and categories up front. That design is the skill. #jev #aiagent

Let’s have a view an this performance from two years back 🤗🔥🔥🔥@King Shadow👑 @•||•𝐎𝐭𝐟 𝐅𝐚𝐦𝐨𝐮𝐬•||•✨🕊 @Ngosra TV @NHYIRABA KOBBY

Let’s have a view an this performance from two years back 🤗🔥🔥🔥@King Shadow👑 @•||•𝐎𝐭𝐟 𝐅𝐚𝐦𝐨𝐮𝐬•||•✨🕊 @Ngosra TV @NHYIRABA KOBBY

Ngự Thú Yêu Hồ Phần 3 #melacreview #tutien #phimtutien

Ngự Thú Yêu Hồ Phần 3 #melacreview #tutien #phimtutien

#houaridauphin

#🥹❤ #حماده_هلال #متابعه_ولايك_واكسبلور_احبكم #حب #عشق

#🥹❤ #حماده_هلال #متابعه_ولايك_واكسبلور_احبكم #حب #عشق

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