[doix]

I suspect the real issue is that they just change stuff "randomly" and the experience gets worse/better cheaper/more expensive.

Since you have no way of knowing when they change stuff, you can't really know if they did change something or it's just bias.

I've experienced that so many times in the last month that I switched to codex. The worst part is, it could be entirely in my head. It's so hard to quantify these changes, and the effort it takes isn't worth it to me. I just go by "feeling".

[wat10000]

They don't even need to do anything. LLMs are effectively random anyway. Even ignoring temperature and inadvertent nondeterminism in inference, the change in outputs from a change in inputs is unpredictable and basically pseudorandom. That's not to say they aren't useful, just that Anthropic could make zero changes and people would still see variations that they'd attribute to malice.

[1dom]

The issue is business and transparency. Transparency is often in the customer's interest at the individual business's expense.

There are very, very few things that can be completely transparent without giving competitors an advantage. The nice solution solution to this is to be better and faster than your competitors, but sometimes it's easier just to remove transparency.

[ethbr1]

I expect "model transparency" to become the new "SSO" enterprise feature differentiator.

Enterprise use cases have to have it (or else pawn the YOLO off on their users), so it will be a key way to bucket customers into non-enterprise vs enterprise pricing.