elvis· @omarsar0 · X·· 1 天前AI 评分55
AI 导读
Fireworks Research 发布专用模型 Ember-1，基于 Kimi K3 构建，生成更短的推理轨迹，token 用量减少约 40%，同时保持顶级质量。作者 Elvis Saravia 评论称这是对 Pareto 前沿上 token 效率优化的推进，认为该方向仍探索不足，各实验室急于发布新模型，某些方面尚未被优化。
正文
This is a bigger deal than it seems.
I like this push on the Pareto frontier to squeeze as much as you can out of your tokens.
Feels underexplored.
All labs are quick to launch models, so certain aspects just aren't optimized.
These are just a few of the great things you can start doing with frontier open models.
Ember-1 produces shorter reasoning traces (40% fewer tokens) without sacrificing performance.
Ember-1 is a specialized model from Fireworks Research designed to make every token go further. Built on Kimi K3, it produces shorter reasoning traces, using roughly 40% fewer tokens while maintaining top-tier quality. https://fireworks.ai/models/fireworks/ember-1?utm_source=devrel&utm_medium=x&utm_campaign=model&utm_term=crowe&utm_content=ember-1在 X 查看被引用的帖子
来源：elvis · x.com