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Trying to train a locally deployable model on a LoRa adapter that's just wicked strong at running sec evals on PRs because these general purpose code review solutions always seem to miss glaring security stuff.
The clear finding from the v1 training run was that "less code = more secure" lmfao.
Model basically scores functions better the less stuff they do. It's right I guess in a kind of demented way. Pack it up boys, we've got the solution.
The clear finding from the v1 training run was that "less code = more secure" lmfao.
Model basically scores functions better the less stuff they do. It's right I guess in a kind of demented way. Pack it up boys, we've got the solution.
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