No idea why they did it. My only guess is that maybe it makes it obvious in your chat history which replies were recommendations?
They could take any conversation without suggested answers, truncate it to just before a user message, have the model predict suggested answers and then train it on the difference between predicted and actual answers, right?
If anything, showing the suggestion introduces unwanted bias.
So you give the user a suggestion, and the user accepts -> good
You give the user a suggestion, and the user refuses and types something else -> bad (plus some supervisory training data)
The main performance enhancer in LLMs is getting high quality training data. So, first, any extra training data will help. Second this is training data that's directly relevant to their product, and thus higher quality than many other sources.
I'd believe any model provider is mining the shit out of every last customer interaction they can get, not just this.
But this is more like, when I've read 7 paragraphs of its reply and want to accept all of its recommendations and go ahead, I can just press the right-arrow key and hit enter, rather than typing out "Yes, agreed with recommendations 1-3, go ahead and build".
It saves me from any typing on probably something like a third of turns. Like I don't use it at all during the "design" phase of a session, but I use it constantly during the implementation phase, where I'm basically just sanity-checking that it is resolving all the edge cases correctly that are coming up.
It's like Clippy pops up and goes "It looks like you're trying to maintain a shred of human connection in an online interaction. Would you like a smiling skinwalker to do that for you instead?"
> CLIPPY: It looks like you're trying to maintain a shred of human connection. Would you like a smiling skinwalker to do that instead??
The iOS keyboard and gmail app are the worst offenders here.
What I hate about sentence completion or suggestion is usually that it happens right when I’m trying to think and so destroys my focus, it’s actually way worse than just a passive option, it’s actively harmful to the task I want. The worst is google docs “help me write” - that may be gone now, I’ve blocked it with ublock origin, that waits until you’re thinking amount what you’d write and then hits you with a distracting pop up. It’s obviously PMs that don’t care about their users and want to maximize some AI use metric.
Anyway rant aside, it’s the interface more than the concept that’s the big problem.
I'd love the open source community to come up with a way to harvest model usage by experienced software engineers before we forget our crafts. I'm not against auto mode, but it's not something a couple private companies should have monopolies on.
LLM models with AGI are so productive they become economic gravity wells and all of the money flows to them. They are the new trilionaires and people are left with scraps. Humans then remain only as the uber drivers and cleaners and screen polishers for AIs. The whole economy reorganises around human jobs being services for AIs.
What if employees at the leading labs think this and they're just trying to position themselves as valuable servants to the new AI overlords? It really changes the perspective on their actions and behaviour.
What if they serve the AGIs not us already? What if they serve the AIs above everything else?
Interesting thought at least.