3 ms·
A long time ago, I wrote a short story about a military AI that had the power to launch warheads, but needed to first justify its decisions to a second AI whose
by hliyan 3y ago
A long time ago, I wrote a short story about a military AI that had the power to launch warheads, but needed to first justify its decisions to a second AI whose entire purpose was to act as checks-and-balances for the first. Can't we do something similar with these models? The output of the main model is fed into a second model (to which the end users have no access) trained on determining what can and cannot be exposed to the end user. If the second model answers in the negative, the main model just provides a canned decline message to the end user. Perhaps there are other ways to cluster or chain LLMs.
- iamflimflam1 3y agoI’ve played around with this idea a bit. It’s a very interesting experiment. You can have a “supervisor” that looks at the input and the output and judges how well the question has been answered. You can put this in a loop with the supervisor giving hints on how to improve the answers. This is very similar to how things like auto GPT work.