# Julia-1 分类模型发布，训练仅花 104 美元

- 来源：elvis (@omarsar0)
- 发布时间：2026-09-27 23:42
- AIHOT 分数：35
- AIHOT 链接：https://aihot.news/items/cmuk0lz7b13m2ro9hm92v09yi
- 原文链接：https://x.com/omarsar0/status/2104235323970523543

## AI 摘要

supersonicai 发布首个分类模型 Julia-1，号称几乎能在任何设备上运行，训练与实验的云 GPU 花费约 R$540（US$104.08）。

## 正文

Cool to see classification models resurge in the era of agents.

The effects of Jev are insane.

Also very cool to see our emotion dataset built at @dair_ai used to test this new model, Julia-1.

I spent my entire PhD building efficient classifiers from scratch (from graph-based to deep learning), so it's exciting to see this trend again. So much nostalgia.

More importantly, if you build agent harnesses today (where all the edge is now that model capabilities have clustered), it's worth spending time running experiments that combine System One models and System Two models. You'll realize how many problems a great classifier (what I now call a System One model) can solve.

Hybrid systems have historically performed better on domain-specific problems, and that still holds, even with general-purpose frontier models.

Build your harness, create the evals, and run the experiments yourself. You will learn so much and gain great insights to take advantage of these advancements.

This is a great example of what open-source enables.

This is a work in progress. The cloud GPU spending on Julia 1 training and experiments was about R$540 (US$104.08).

Will we see a new type of frontier lab focused on these models?

### 引用推文

> Supersonic Labs：Introducing Julia-1: Our first classification model that runs on almost anything. Learn more 👇 https://supersoniclabs.ia.br/julia-1/