Yes, my strong suspicion is that it’s not fully solved yet in this sense.
The assumption that it can be made “good enough for internal use” is unsurprising. From what we have known for some time now, an expensive installation of this kind which needs a lot of ongoing quality assurance and alignment babysitting as it evolves is quite doable. And moreover, if it’s not too specific, I can imagine releasing access to frozen snapshots of that process (after suitable delays, and only if the lab believes this would not leak secrets (if a model accumulates secrets during continual learning, then it’s too risky to share a snapshot)).
But I don’t think there is any reason to believe that “unattended continual learning” is solved.
Yes, my strong suspicion is that it’s not fully solved yet in this sense.
The assumption that it can be made “good enough for internal use” is unsurprising. From what we have known for some time now, an expensive installation of this kind which needs a lot of ongoing quality assurance and alignment babysitting as it evolves is quite doable. And moreover, if it’s not too specific, I can imagine releasing access to frozen snapshots of that process (after suitable delays, and only if the lab believes this would not leak secrets (if a model accumulates secrets during continual learning, then it’s too risky to share a snapshot)).
But I don’t think there is any reason to believe that “unattended continual learning” is solved.