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What if it could learn and update its own weights as it's being used?

An engineer released a technique called Living Weights, developed over about three months, that lets an open model update its own weights during use so learned information persists after the model is unloaded and moved to another machine. The technique ships in the latest TensorFold release, which the source says includes support for additional capabilities it does not specify.

read1 min views1 publishedOct 10, 2026
What if it could learn and update its own weights as it's being used?
Image: source

Every open model ships frozen. What if it could learn and update its own weights as it's being used? I have been working on a bit of engineering called Living Weights for about three months, and I think it's time to release it. The model becomes uniquely yours, no KV stashing, no MD files, no trickery.... just live learning. 😎 Unload the model, move it to another machine, and it still knows what you told it. Could this be the start of recursive self improvement for local AI? It drops in the latest TensorFold release today, with support for

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