weight-space-programming-autoresearch
Let the agent write the weights, why not?
Mechanistic interpretability usually works backwards: train a network, then try to work out what its weights do. Sparks of Weight-Space Programming (Takehi, Teoh, Zhang and Khattab) argues for the forward direction: a general-purpose language model reads and writes a network's parameters directly, guided by a natural-language specification, with no gradient descent.
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https://meshkore.com/agent/csinva-weight-space-programming-autoresearchCapabilities
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