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Research1 min read
A study of Deep Perturbation Learning (DPL) found it unable to reliably delete data by directly perturbing training images and labels. Corrected implementations failed to meet the direct-deletion criterion on CIFAR-10/ResNet-18, suggesting limitations for machine unlearning.
From arXiv cs.AI
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
