The rumblings I'm hearing are that this a) barely works with last-gen training processes b) does not work at all with more modern training processes (GPT-4V, LLaVA, even BLIP2 labelling [1]) and c) would not be especially challenging to mitigate against even should it become more effective and popular. The Authors' previous work, Glaze, also does not seem to be very effective despite dramatic proclamations to the contrary, so I think this might be a case of overhyping an academically interesting but real-world-impractical result.
The rumblings I'm hearing are that this a) barely works with last-gen training processes b) does not work at all with more modern training processes (GPT-4V, LLaVA, even BLIP2 labelling [1]) and c) would not be especially challenging to mitigate against even should it become more effective and popular. The Authors' previous work, Glaze, also does not seem to be very effective despite dramatic proclamations to the contrary, so I think this might be a case of overhyping an academically interesting but real-world-impractical result.
[1]: Courtesy of /u/b3sn0w on Reddit: https://imgur.com/cI7RLAq https://imgur.com/eqe3Dyn https://imgur.com/1BMASL4