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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score34

Mubit launches a service to train customer-owned small models from existing API callsMachine translation

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Mubit says its service reads API calls that agents send to OpenAI or Anthropic, identifies recurring tasks, and trains small models owned by the customer. Users can change the base URL while keeping their client code, or connect traces they already collect; requests outside those tasks still go to the frontier model.

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@rohanpaul_ai

Your API calls are now training data you own, a great launch for owning your intelligence stack.

Mubit reads the calls your agents already send to OpenAI or Anthropic, finds the tasks that repeat, and trains small models that you own.

so you pay less and wait less while the big model handles the rest.

> The company says they refresh every few minutes. > The integration is one line. You swap the base URL and keep the same client code. If you’d rather not touch that, you can connect the traces you already collect. > I like is the split. Narrow, repeated work moves to a model trained on your own traffic. Anything outside those tasks still goes to the frontier model.

All these means, two companies on Mubit end up with different small models, because each is shaped by its own agents’ work.

Remembering feedback in the prompt is unpredictable. So what Mubit is doing that instead of putting lessons into the prompt, it trains small models on the tasks your agents repeat, so the improvement lives in the weights.

QuoteAnil Peri@notanilp
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