[–] ozgung 2 days ago
[–] dovetailed 2 days ago
"When you see the “How is Claude doing this session?” prompt in Claude Code, responding to this survey, including selecting “Dismiss”, records only your rating. We do not collect or store any conversation transcripts, inputs, outputs, or other session data as part of the rating prompt itself. Unlike thumbs up/down feedback or /feedback reports, this session quality survey is a simple product satisfaction metric."
[–] spenvo 2 days ago
In my defense: that webpage didn't exist at the time I wrote my blog post, appearing to first surface about 45 days after I wrote my post. https://web.archive.org/web/20250101000000*/https://code.cla... All that was known at the time was, from their privacy policy then: "We may use your feedback to analyze the effectiveness of our Services, conduct research, study user behavior, and train our AI models as permitted under applicable laws."
Great to know there's clarity on this - makes me feel better about Anthropic.
[–] dovetailed 1 day ago
[–] jrmg 2 days ago
[–] j45 2 days ago
A determination of it has to be made some way beyond looking for frustrated or angry keywords.
If there was direct transparency regarding this it would be great vs digging into it on our own.
[–] jrockway 2 days ago
I believe this is how the auto-mode classifier works. It sees a little bit of the transcript (with tool output removed, to avoid prompt injection) and answers "yes, allow the action" or "no, deny the action".
[–] j45 2 days ago
[–] ffsm8 2 days ago
> The most common feedback on these posts is always "what did you expect?"
Is completely spot on. It's highly entertaining to me that some people can't wrap their head around that.
[–] loufe 2 days ago
[–] spenvo 2 days ago
[–] randomblock1 2 days ago
[–] bix6 2 days ago
[–] hmokiguess 2 days ago
[–] Zambyte 2 days ago
[–] jitl 2 days ago
[–] spenvo 2 days ago
[–] pixl97 2 days ago
Running your own compute has a lot of risks too, you have to keep it secure against attacks on the models that you're running. Giving away all your chats to hackers because you don't secure your own stuff isn't really winning either.
[–] oblio 2 days ago
[–] Zambyte 2 days ago
People chasing the best of the best models for all tasks in order to "keep up" are only wasting resources at this point.
Regarding similar features, there are lots of off the shelf harnesses that support all that, or can easily be extended (literally just ask your agent) to do it.
[–] jitl 2 days ago
[–] lp92 1 day ago
[–] jitl 23 hours ago
[–] Zambyte 2 days ago
You don't care anyways. Actual engineering works "100%" fine with small models now. You should try it!
[–] lp92 1 day ago
The best open weights models still had a lot of defects and very egregious mistakes to fix even after I provided a very well detailed Requirement/Design/ Technical Implementation plans.
Opus and Gemini 3.8 (and now Argon) did a significantly better job. So I've baseline using these two models to build this application. I now use Opus for design/review and Flash 3.8 for the code gen/implementation work.
I'm sure small models and even open big models are probably fine for many common small apps and such, but they aren't really able to perform the same across all use cases.
[–] sandeepkd 2 days ago
[–] altmanaltman 2 days ago
[–] j45 2 days ago
These models may not train directly on my chats and data, but in some cases it does seem to keep an impression of the pattern and process.