Thomas Yu on Twitter / X

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

Introducing Julia 1 | Supersonic Labs

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

Jev’s Architecture Unmasked — archerhume

I probed Jev with 10,000 API calls to work out roughly how it’s built, and why most of the grifter takes on X are completely wrong.

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

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

GREG ISENBERG on Twitter / X

I think the most interesting thing about Jack Dorsey's "Slack killer" is the idea around shared compute.I haven't seen people talk about it so here are my thoughts FWIW:Open models got good, close enough to the paid frontier stuff to run for real. But the strongest ones need… https://t.co/b5PBgYjAGL— GREG ISENBERG (@gregisenberg) July 25, 2026

Ivan Fioravanti ᯅ on Twitter / X

"We are releasing Open Source implementations for CoreAILanguageModel and MLXLanguageModel for running a myriad of local models on the Apple Neural Engine or your Mac's GPU" 👀 From #WWDC26: What’s new in the Foundation Models framework video: https://t.co/1NtKWYhNRs pic.twitter.com/HVtBsr3tjL— Ivan Fioravanti ᯅ (@ivanfioravanti) June 9, 2026

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

David Hendrickson on Twitter / X

🌞This is big Local AI news! A new open-source Computer-Use LLM has just launched. Holo 3.1 is H Company’s (🇫🇷) new local computer-use agent model that beats Qwen3.5-397B, Kimi-K2.5, and Sonnet 4.6!Since it is built for local deployment → ⬩ Runs fully on your machine… https://t.co/CpOEsuWN2k pic.twitter.com/w39iOh7cO1— David Hendrickson (@TeksEdge) June 2, 2026

OpenAI partners with Cerebras

OpenAI partners with Cerebras to add 750MW of high-speed AI compute, reducing inference latency and making ChatGPT faster for real-time AI workloads.

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

GitHub - AbdelStark/jev-benchmarks at 0d610cc53e79bcbec691312b0c4adb4a0e371642

Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks. - AbdelStark/jev-benchmarks

The OpenAI Open weight model might be 120B

726 votes, 163 comments. The person who "leaked" this model is from the openai (HF) organization So as expected, it's not gonna be something you can…