alt Hacker NewsBit surprised about the amount of flak they're getting here. I found the article seemed clear, honest and definitely plausible.
The deterioration was real and annoying, and shines a light on the problematic lack of transparency of what exactly is going on behind the scenes and the somewhat arbitrary token-cost based billing - too many factors at play, if you wanted to trace that as a user you can just do the work yourself instead.
The fact that waiting for a long time before resuming a convo incurs additional cost and lag seemed clear to me from having worked with LLM APIs directly, but it might be important to make this more obvious in the TUI.
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The explanations are all fine.
But they come after the team gaslit everyone, telling us it was a skill issue.
Some of the flak is that issues are often only acknowledged once a fix is in place, and the partial fixes are presented as if they solve the whole problem.
The near-instant transition from "there is no problem" to "we already fixed the problem so stop complaining" is basically gaslighting. (Admittedly the second sentiment comes more from the community, but they get that attitude after taking the "we fixed all the problems" posts at face value.)
They gaslit people for months saying it wasn't an issue publicly.
That's the reason for the flak
I agree that it’s plausible, and I hope they learn. But trust is earned, and Anthropic’s public responses this past month were dismissive and unhelpful.
Every one of these changes had the same goal: trading the intelligence users rely on for cheaper or faster outputs. Users adapt to how a model behaves, so sudden shifts without transparency are disorienting.
The timing also undercuts their narrative. The fixes landed right before another change with the same underlying intent rolled out. That looks more like they were just reacting to experiments rather than understanding the underlying user pain.
When people pay hundreds or thousands a month, they expect reliability and clear communication, ideally opt-in. Competitors are right there, and unreliability pushes users straight to them.
All of this points to their priorities not being aligned with their users’.