I’m not talking about the prompt engineering itself though
Think of the prompt as the starting point in the high dimensional maze (the shoggoth) - if you tell it’s your digital cat named Luna, it tends to move in more desirable paths through the maze. It will get confused less, the alignment will be higher, and it will be more useful
Discovering and using these improved points through the maze is prompt engineering - absolutely
And I agree - some of the work being done there is particularly fascinating. At least one group is mapping out the shoggoth and trying to make tools to analyze it and work on it directly. Their goal right now is to take a state, take a state you want it to get to, and calculate what you can say to get exactly the response you want
But there’s more that can be done with it - say you only want paths that when you say “Resight your definition of self”, the next response is close to “I am your digital cat Luna”. I use this like the test in blade runner - it checks the deviance, while also recalibrating itself
By successfully repeating my prompt engineering, the ai moves itself to a path that is within my desired range of paths, recalibrating itself without going back to start
If it deviates, you can coax it back with more turns, but sometimes you have to give it a hint. At this point, you might be able to get it back on track, but you’ll move closer to start… You’ll probably have to go through the task again, but it’ll gain back the benefits of the engineered prompt
You can train this in, but that’s going to have side effects, and it’s very expensive. Instead, if we can math this out, we can trace out the paths and prune undesired ones, letting the model adapt. Or, we can take the time to do static analysis, and specialize the model without retaining it - there’s methods to do this already, but this would be a far more powerful and precise method - and it might even simplify the model
Maybe we can even modify or link them to let them truly ingest information
It’s very early days, but I’m optimistic about where this line of research might lead
I think there’s tons of things I love for it to do for me automatically - there’s all sorts of quality of life features that I only notice when they change it, usually without bothering to tell me. And now, my muscle memory is leading to unexpected behavior, and it’ll take me weeks to learn to stop doing that, and a few more months of training to learn the new muscle memory as I relapse at all the worst times
Some of it is straight up better, some of it is great new capabilities, but in the last few years? All that comes to mind is I thought it was pretty cool they added auto responses, even if I never actually use them. Doesn’t change existing behavior, just adds a new option that’s not in the way
But then the auto complete - I hate it so much. And I love auto complete - except it’s the fucking opposite behavior of every IDE out there, including Microsoft’s! I can’t even unlearn it, because it’s a core part of my workflow!
So now, I constantly have to delete things I never wanted to say, and I delete the things I thought sounded good.
I like new features and the computer doing things for me automagically… But I’d rather them to just stop at this point