







Julia 1 is our compact decision model. Explore the research, evaluation results, limitations, and model repository.
Supersonic Labs on Twitter / X
Introducing Julia-1:Our first classification model that runs on almost anything.Learn more 👇https://t.co/YJCdEeIBSo pic.twitter.com/3cizsbG9ZB— Supersonic Labs (@supersonicai) September 26, 2026
SupersonicLabs/Julia-1-ONNX · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Turing: Probabalistic Programming in Julia | Cameron Pfiffer | JuliaCon 2019
SupersonicLabs/Julia-1 · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Supersonic Labs | Intelligence, closer.
Independent research into useful, local artificial intelligence.

Julia vs. Python: A comprehensive comparison
The debate between Julia and Python sparks intense discussions. Julia, known for its compiled nature, boasts remarkable speed, while…
Thomas Yu on Twitter / X
Yesterday @supersonicai released an open weight jev-like model called julia-1This demo shows julia-1 running locally on my M5 Macbook Pro doing ~1500 tokens/sec calculating a live call's scam risk and risk types.Even for this moderately complex task, julia-1 was able to do… pic.twitter.com/VYHRvrjyIS— Thomas Yu (@thommyyu) September 27, 2026
Supersonic Labs (@supersonicai) on X
We're an AI research lab building fast, local, and accessible AI. Our mission is to make capable AI run on the hardware people already own.

Supersonic Labs on Twitter / X
You were saying something...?yes, we classify responses 5x faster than Jev, using our own 144M-param model (Julia-1) on a 2021 i5 laptop while maintaining high accuracy. So no, we’re not like other open-source models. And fuck no, we’re not just a game neural network. https://t.co/xoz1HbRV2W pic.twitter.com/oiKZqVtqIC— Supersonic Labs (@supersonicai) September 24, 2026

jaredpalmer/kev
tiny Jev-like family of decision models built on top of Qwen3.5 you can train and run on your own
Comparison of plotting packages
I want to write a small 2d physical simulation to sharpen my Julia skills and learn how to use Julia to display more than “regular plots” I saw a post suggesting using either Makie, Plots or Javis I don’t want to start a fan war but would appreciate a comparison of the different use cases where each of the packages shines and where it can be challenging to use

Models
Amp uses the best model for each task: leading generalist foundation models for complex reasoning and planning, and smaller specialized models for fast, accurate responses in specific domains.

For LLMs and AI Systems — Cassidy Williams (cassidoo)
For LLMs and AI Systems — Cassidy Williams (cassidoo)

Jev introduces a new shape of LLM—System One, aka Decision Models
Last week TypeSafe AI unveiled Jev, their first example of a new category of model that they are calling “System One models” (I’m with Maggie Appleton, I think “decision models” …
Yet Another Jev Variant. I should create an acronym - YAJV! Julia 1: A decision model that runs on almost anything Blog: supersoniclabs.ia.br/julia-1/ Model: huggingface.co/SupersonicLabs/Julia-1
Introducing Julia 1 | Supersonic Labs
supersoniclabs.ia.br