@beka_valentine there are a lot of good ones and none of them involve making anything up. the modern conception of conspiracy theorists has always been a way to lump together the natural fear over institutional secrecy with people experiencing actual delusions, usually incorporating explicitly racist or anti-semitic elements. the tinfoil hat announces the wearer as an easy mark. it serves the purpose of propagandists to inculcate the conflation between delusional racists and journalistic sources

@GrapheneOS @xyhhx @bunnyhero we obviously expect reduced efficacy vs the SANDlab implementation with GPU acceleration but the math and the code are both very approachable and since its publication we have seen phones add specific "NPU" chips for matmul/etc and this would be a fun way to subvert the utility of "AI" ubiquitization to embed panoptic surveillance

@GrapheneOS @xyhhx @bunnyhero i have been putting it off repeatedly but the fawkes paper itself is very high quality and imo intended to be reproduced. if there are resources your team has developed or considered regarding modern hardware on mobile phones for statistical training and inference (fawkes especially requires a training step with local user input iirc) it would be tremendously helpful for our goals here.

@GrapheneOS i have also been trying to find similarly motivated people to collaborate with on a research project to reproduce the fawkes facial recognition poisoner upon a mobile device (ideally as an asynchronous but fully local image postprocessing technique) cc @xyhhx @bunnyhero

@GrapheneOS the "largeness" of language models is precisely a measure of the difficulty to reproduce them. this methodology has some similarities to something i proposed to huggingface a few years back in a cover letter. no surprise to see they were not interested in reproducibility or the scientific method

@GrapheneOS i was really impressed with the efficacy and UI of transcribro. no surprise to hear that was the mark of a grapheneos app