Amazon releases its own Jev clone as decision models flood the web

https://techcrunch.com/wp-content/uploads/2026/10/William_Stanley_Jevons_portrait_extract.jpg?w=726

Amazon Web Services released an open-source decision model inspired by TypeSafe’s Jev, with AI developers increasingly seeking intelligence that is more suited to computer automation than frontier LLMs.

Amazon’s Strands Decider 2B, released the same week OpenAI announced a similar offering, is a high-speed, low-cost way to sort between pre-decided options and deliver a measure of how confident it is in its choice. The model is fully open-sourced, available now, and small enough to run locally.

Amazon distinguished engineer Marc Brooker came up with the project after seeing Jev and trying to build his own take on such a model. The homebrew project was successful enough—it briefly reached the top spot on the Jevbench ranking for models of its size—that Amazon engineers cleaned it up and released it as an offering from their Strands Labs, an organization developing new tools and protocols for deploying AI agents.

Brooker...

Copyright of this story solely belongs to techcrunch.com. To see the full text click HERE

Read more

https://media.vanityfair.com/photos/6ac2ea6b59502d5a39d676b3/16:9/w_1280,c_limit/Altman_Square.png

Q&A with Sam Altman on President Trump, the midterms, extinction risk, Xi Jinping's state visit, self-policing vs. regulation, and Greg Brockman's donations

Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Introducing Campus: The digital home for educational institutions — Every educational institution needs