







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
Introducing Julia 1 | Supersonic Labs
Julia 1 is our compact decision model. Explore the research, evaluation results, limitations, and model repository.

Supersonic Labs on Twitter / X
son... 🥀 https://t.co/bLoBkn6Vpo pic.twitter.com/bvBJG5wckx— Supersonic Labs (@supersonicai) September 24, 2026
SupersonicLabs/Julia-1-ONNX · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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.

SupersonicLabs/Julia-1 · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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
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 | Intelligence, closer.
Independent research into useful, local artificial intelligence.


Announcing Burn-LM (alpha): LLM Inference Engine
We're happy to announce the Burn-LM, an LLM inference engine based on Burn! The goal is to support any large model, LLM, VLM, and others, for inference but also for training (pre-training, post-training, and fine-tuning).

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…
Supersonic Labs on Twitter / X
lol, and we mogged Jev on a i5 ideapad with 16gb of RAM: https://t.co/T69NuUQxHK pic.twitter.com/VlPiH22xtb— Supersonic Labs (@supersonicai) September 23, 2026
clem 🤗 on Twitter / X
We just released an hf CLI extension to detect the best model/quant for a user's hardware and then spins up a local coding agent. Time to go local/private/free/fast for your agents thanks to open-source! pic.twitter.com/LcVJzGCqWx— clem 🤗 (@ClementDelangue) March 17, 2026

Zhijing Jin on Twitter / X
🚀 Can #AI agents actually do science?Current agents can optimize for predictive fit — but fail at recovering the underlying physical laws.We introduce Stargazer🪐: a scalable benchmark + environment for astronomical discovery🔭Agents must:• propose hypotheses•… pic.twitter.com/hGIjz4KJMT— Zhijing Jin (@ZhijingJin) May 7, 2026

Turing: Probabalistic Programming in Julia | Cameron Pfiffer | JuliaCon 2019
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
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