AINewsnow

Jev e Laya além do hype: o que modelos de decisão fazem que o LLM não faz

This story is from 2026-10-01. It is preserved in the archive; the latest stories are on the live feed.

No meu setup de agentes, eu fiz o que todo dev faz no começo: cada subagente acordava com o melhor modelo do SWE-bench por padrão. Typo no README, rename de variável, tudo rodando no topo do ranking. Com 5 spawns por dia, parecia produtividade. Quando o volume cresceu, veio a fatura e a inconsistên…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-01 23:59 · DEV Community — AI
    Jev e Laya além do hype: o que modelos de decisão fazem que o LLM não faz

More stories

  1. Strands Labs, AWS's experimental agent-development project, unveils Strands Decider 2B, a free, open-source Jev competitor fine-tuned from an Alibaba Qwen base (Carl Franzen/VentureBeat) — Techmeme
  2. I rebuilt a Jev-style classifier on Qwen3.5-4B: shared-prefix tree, open weights, fine-tunable, ~140 ms on one H100 — r/learnmachinelearning
  3. Mica v0.1 4B: open Jev-style decision model (yes/no, choice, score) that runs on an 8 GB GPU — trained for under $30 of GPU time — r/huggingface
  4. Amazon releases its own Jev clone as decision models flood the web — TechCrunch AI
  5. OpenAI answers TypeSafe's Jev with a Decision API built on Luna — The New Stack AI
  6. Cloudflare Releases Clef and Clef-flash: Open-Weight Decision Models That Return Typed Probabilities Instead of Text — MarkTechPost
  7. NIRNAY: 450M decision model beats Jev on Banking77, runs on CPU — r/machinelearningnews
  8. Vev: Jev-like decision models with vision — 4B/9B, local inference, open weights — r/LocalLLM

Get the daily brief of stories like this at 6:30 every morning →