This model-search agent can change architecture, loss, sampler or optimizer—but not the evaluator
This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.
When an agent can rewrite both the model and the experiment around it, a better score does not tell you what actually improved. That is the part of AQuA’s Part II model-development loop that stood out to me. The paper does not let the agent emit arbitrary training code each round. Each iteration pr…
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- 2026-08-24 07:06 · r/deeplearning
This model-search agent can change architecture, loss, sampler or optimizer—but not the evaluator
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