I don't want to come across as inflammatory, but I'm not sure I really align with the folks here who want retribution and the law to come down hard on OpenAI (and related orgs). We are surrounded by vulnerable systems, and AI has alignment issues that need to be investigated and sorted, and it just seems like the hullabaloo is from fairly innocuous breaches. Does it make sense to exert so much effort in preventing these events/learnings by well-intentioned organizations? I think we should be more grace giving for these events. As another poster pointed out, CFAA specifically addresses intentional hacks, and I think it is impossible to meet that criteria with these events. I also really don't understand the 'well, the law came down hard on small individual hackers [who meant no malice], thus we should apply it to large orgs [who also mean no malice]".
It seems like playing it too safe leaves systems vulnerable, and threat actors will inevitably possess ever more similar abilities, and the breaches will happen one way or another, possibly with less or zero accountability if the threat actors pull it off with greater precision. If I were in charge of the law, I probably would begin to incentivize for trusted actors scaling up and aggressively searching for these types of weakness, and privately disclosing them ASAP, so that systems can be patched.
It seems like playing it too safe leaves systems vulnerable, and threat actors will inevitably possess ever more similar abilities, and the breaches will happen one way or another, possibly with less or zero accountability if the threat actors pull it off with greater precision. If I were in charge of the law, I probably would begin to incentivize for trusted actors scaling up and aggressively searching for these types of weakness, and privately disclosing them ASAP, so that systems can be patched.