To which she smiled playfully, and replied “Mayyyybe”. I still think of that moment every time someone says “consent means an enthusiastic yes” or “maybe means no”.
Would love to read a top-level post on this topic, because what people preach about consent (“only an enthusiastic verbal “yes” is consent”), and what most people do in practice are worlds apart.
I wish we lived in a world where an enthusiastic verbal “yes” could always be obtained for consent, instead you have to read facial expressions and tone and body language and breathing, etc...
I do like that you always pause and explain safewords and test usage before getting into the more serious stuff (from that point on consent seems pretty clear-cut), but you still have to get to that point with physical escalations where consent is very murky.
(But you also did finger Chesed without verbal consent, just using body language. That seems pretty advanced. If you have a model of what exact body language cues you are looking for to be confident enough that you are not violating her consent by doing that, it would be interesting to read your thoughts on that.)
Trying to understand your model:
I am assuming that we agree that training data is not some fundamental necessity, historically, once you have the right learning algorithm, you can discard all training data and just train from scratch (e.g. AlphaZero).
More concretely on today’s AI paradigm, RLVR is already a huge part of training, and works well for tasks that can be easily verified. (Or do you foresee pretraining specifically becoming data bottlenecked in a way that somehow cannot be compensated for by more RL?)
By “software intelligence explosion”, do you mean training better and better AI researchers (which is something well amenable to RLVR, so no training data needed) and doing RSI via that? And so you are talking about the scenario where for some reason that does not happen?
For which specific part of training, for what kind of tasks, do you see data becoming a bottleneck?