> Personally, I get creeped out by how many things CC is doing and tokens it's burning in the background. It has a strong "trust me bro" vibe that I dislike.
100% this.
It might be convenient to hide information from non-technical users; but software engineers need to know what is happening. If it is not visible by default, it should be configurable via dotfiles.
There are a lot of Claude Code users who aren't software developers. Maybe they've decided that group is the one they want to cater to? I recognize that won't be a popular decision with the HN crowd, but that doesn't mean it's the wrong one.
I fully agree with you on almost everything you wrote in this thread, but I’m not sure this is the right answer. I myself currently spend a lot of time with CC and belong to that group of developers who don’t care about this problem. It’s likely that I’m not alone. So it doesn’t have to be the least professional audience they serve with this update. It’s possible that Anthropic knows what are they doing (e.g. reducing level of detail to simplify task of finding something more important in the output) and it’s also possible that they are simply making stupid product decisions because they have a cowboy PM who attacks some OKR screaming yahoo. We don’t know. In the end having multiple verbosity levels configured with granularity similar to java loggers would be nice.
Oh totally - I'm definitely not saying that they made the decision to cater to non-dev users, just that it's a possibility. Totally agree with you that at the end of the day, we haven't the foggiest idea.
Yeah, I made a similar point about the tone of ChatGPT responses; to me, I can't imagine why someone would want less information when working and tuning an AI model. However, something tells me they actually have hard evidence that users respond better with less information regardless of what the loud minority say online, and are following that.
100%. Metrics don't lie. I've A/B tested this a lot. Attention is a rare commodity and users will zone out and leave your product. I really dislike this fact
Metrics definitely lie, but generally in a different way to users/others. It's important to not let the metric become the goal, which is what often happens in a metric-heavy environment (certainly Google & FB, not sure about the rest of big tech).
Product managers are fooling themselves if they think they can "improve the user experience" for developers -- developers can't agree on the simplest things such as key bindings (vim, emacs) or identation (tabs, spaces).
Make the application configurable. Developers like to tinker with their tools.
As far as I remember, SolidGoldMagikarp was a bug caused by millions of posts on reddit by the same user ("SolidGoldMagikarp") in a specific sub-reddit.
There was no problem with the token per se, but the fact it was like a strange attractor in multidimensional space, disconnected from any useful information.
When the LLM was induced to use it in its output, the next predicted token would be random gibberish.
More or less. It was a string given its own token by the tokeniser because of the above, but it did not appear in the training data. Thus it basically had no meaning for the LLM (I think there are some theories that such parts of the networks associated with such tokens may have been repurposed for something else and so that's why the presense of the token in the input messed them up so much)
The easy solution would be to use something like Amazon S3 to store documents as objects and let them worry about backup; but governments are worried (and rightly so) about the US government spying on them.
Thus, the not-so-easy-but-arguably-better solution would be to self-host an open source S3-compatible object storage solution.
Are there any good open source alternatives to S3?
