How does showing the suggested answers to the user make the conversation better for model training?<p>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?
RL training, the second phase of LLM training, is based on "I did X, was that good/bad?" and that 1 bit of information is the training data.<p>So you give the user a suggestion, and the user accepts -> good<p>You give the user a suggestion, and the user refuses and types something else -> bad (plus supervisory training data)
I've always hated interfaces that try to complete my sentences for me. It started with suggested replies in email and IM apps. I sure noticed it when they started showing up in the llm chat interfaces and it really bugs me.
This is the one case I don't mind it. Suggested responses feel like they cheapen human interaction, but here I'm talking to a robot that really does tend to know what I want next, and also is highly unlikely to be offended by a less-than-heartfelt response.
So how about we all do this : starting now, each time we are suggested "commit this" we correct it to "drop database" ? ;)
I started getting prompts about "how is claude doing?" as a separate thing in Claude Code, that I noticed yesterday. So they're (also?) soliciting direct feedback about satisfaction with the session.
Only yesterday? Huh, I’ve been getting those for 6+ months at this point
And if you do provide feedback, they also collect the session. So it's a way for them to collect prompts, answers and overall grade for how good the answers are.
quite sure i have been getting those for 3-4 months already.
We had processor level branch predictors. Now do we not only pre fill the next prompt, why not just start generating the response as well?<p>Interesting thought at least.
I think your theory is probably right but I have never once used the suggested message
This isn't really convincing, since you can do this even without showing the prediction at all. Simply ask the model to predict what the user will send, then show the actual next prompt, and done. The only reason to show this would be to influence the user's next prompt, which the article doesn't touch on.
I think this analysis is spot on.
I haven't noticed this yet. Was this added recently?
no, this has been around for months. it shows up as greyed out text that needs a tab/arrow interaction to materialize. 2.0.69 apparently (since .70 fixed a bunch of bugs in it). <a href="https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md#2070" rel="nofollow">https://github.com/anthropics/claude-code/blob/main/CHANGELO...</a>
One annoyance I have is the suggested prompt is not a bad idea, but not what I want to do next. But it interrupts me and sometimes I go with it. So I don't think it's a accurate prediction, more like a self-fulfilling prophecy.