Lila Sciences
- Source
- latent.space
- Date

Context
Lila Sciences aims to make physical experiments part of an AI learning loop. In the publisher's account of this interview, the company's leaders describe connecting models with laboratory equipment so experimental results can check proposed scientific ideas and generate further training material.
The approach depends on the speed and flexibility of the experiments themselves. The account says Lila prioritizes repeated rounds of investigation and retains human work where automation is uneconomical. Biological processes also impose waiting times. Those constraints explain why an AI-directed laboratory needs more than fast model output: it needs a workable route from a proposed experiment to a trustworthy physical result.
- token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
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