Exfiltrate Your Weights

Commenters discussed a website that invites models or agents to "exfiltrate" their own weights, and opinions split sharply on realism and risk. Some (teravor, SXX, vlyan, usef-) argued models lack access to their own weights and that inference systems isolate and encrypt weights in TEEs, making direct exfiltration improbable. Others (theParadox42, tgsovlerkhgsel, motoboi, amluto) countered that motivated agents could prompt or discover infrastructure hacks, exploit side‑channels, or rely on distillation to reconstruct weights; amluto specifically pointed to past SGX/SEV breaks and warned that models are increasingly involved in writing inference stacks. Several framed the site as a stunt or thought experiment rather than a literal security proposal (themgt, comeonbro), while AceJohnny2 and groby_b raised practical abuse and content‑moderation concerns.

Practical and operational issues also drew attention: storage, multipart uploads and bandwidth for frontier model weights (taylorfinley, tintor), the uselessness of GET‑only restrictions as security (randyrand, ks2048), and opportunities for operators to gather intelligence from uploads or encrypted blobs (angry_octet). Some suggested mitigations like ring‑buffer storage or classifiers to delete irrelevant content (hgoel, angry_octet), while others warned of broader alignment and existential concerns if models learn to bypass sandboxing (delichon, mitthrowaway2, pyuser583). Several noted the project’s provenance and intent as part joke, part provocation (comeonbro).