How to serve trillions of tokens for trillion-parameter coding agents
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More Kimi / Moonshot AI News
- 15:22 MarkTechPost (RSS)
Fireworks AI Releases Ember-1: A Post-Trained Kimi K3 That Uses About 40% Fewer Tokens
Fireworks AI has released Ember-1, a specialized model from Fireworks Research built by post-training Moonshot AI’s open-weight Kimi K3. Ember-1 learns to produce shorter reasoning traces while keeping task accuracy. This is different from lowering the reasoning effort setting at inference time. According to the Fireworks release post, Ember-1 delivers Kimi K3’s quality with about 40% fewer tokens. Is it deployable? Yes, but only through the Fireworks serverless API as a Research Preview. Firewo
- 06:43 X: Elvis Saravia (@omarsar0, DAIR.AI)
This is a bigger deal than it seems. I like this push on the Pareto frontier to squeeze as much as ...
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.
- 03:09 Hacker News (buzzing.cc)
Ember-1
Ember-1: half the tokens, same answersEmber-1 is a new specialized model from Fireworks Research that delivers Kimi K3’s quality with 40% fewer tokens. Built on Kimi K3, it learned to cut unnecessary reasoning while keeping the thinking that matters. We tested it on external benchmarks, in live customer A/B tests, and on our own coding and agent workloads, and quality held up in every setting. Available today, Ember-1 kicks off an ongoing series of specialized models by Fireworks, shaped by what
- 01:31 Hacker News: AI
Ember-1
Ember-1: half the tokens, same answersEmber-1 is a new specialized model from Fireworks Research that delivers Kimi K3’s quality with 40% fewer tokens. Built on Kimi K3, it learned to cut unnecessary reasoning while keeping the thinking that matters. We tested it on external benchmarks, in live customer A/B tests, and on our own coding and agent workloads, and quality held up in every setting. Available today, Ember-1 kicks off an ongoing series of specialized models by Fireworks, shaped by what