AI Efficiency

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Monday, 28 September 2026

Fireworks AI Releases Ember-1: A Post-Trained Kimi K3 That Uses About 40% Fewer Tokens

MarkTechPost 2 weeks ago 13 ● 2 sources

Fireworks AI released Ember-1, a specialized post-trained version of Moonshot AI’s open-weight Kimi K3 designed to shorten reasoning traces while maintaining task accuracy. The model delivers Kimi K3 quality with about 40% fewer tokens. It is only deployable through the Fireworks serverless API as a Research Preview since Ember-1’s weights and training code were not released.

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AI Benchmarking Model Releases AI Efficiency Kimi K3

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TLDRocket 17 October 2026

Microsoft used today’s announcement to zoom in on what matters in scaling: not just raw capability, but the plumbing behind it. The company revealed MAI-Base-2, a 2T-parameter base model designed to be converted into full LLMs with additional training. Per Microsoft, only 80B parameters activate per prompt, and the training run ate 50T tokens over 38 days using 16,000 Nvidia GB200 GPUs. The headline claim: MAI-Base-2 is up to 12× more hardware-efficient than its predecessors, a metric that will matter to anyone trying to keep inference costs from swallowing margin.

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AI Efficiency

Key players

Monday, 28 September 2026

Fireworks AI Releases Ember-1: A Post-Trained Kimi K3 That Uses About 40% Fewer Tokens

Every AI story that matters, in your inbox by 8am.

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