Jev / TypesafeAI is revolutionary as LLM’s

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s59rct/rys_part_3_llms_think_in_geometry_not_language/"> <img alt="RYS Part 3: LLMs think in geometry, not

<!-- SC_OFF --><div class="md"><p>Jev is not here to replace your primary LLM model like Claude and ChatGPT; instead, it's best used to make decisions between the outputs you

<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a

<!-- SC_OFF --><div class="md"><p>I've been using Jev since I got access yesterday. Lots of cool use cases on X and their official discord as well.</p> <p>My first attempt was to

<!-- SC_OFF --><div class="md"><p>Figured this out by running 4 models: Claude Opus 4.6, GPT-5.4, Gemini 3.1 Pro, and Grok 4.20, on a benchmark of 1,417 binary forecasting

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wvns80/i_benchmarked_jev_against_4_local_llms_on_rtx5070/"> <img alt="I benchmarked Jev against 4 local

<h1> LLMs and Jev: When You Need a Decision Instead of a Reply </h1> <p>Imagine a support application receiving this ticket:</p> <blockquote> <p>“I need a refund.”</p>

<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane