I used to cynically think “AI writing sucks, but it’s better than 90% of people at it.” But I’m less sure. I think it’s gotten worse. At least in the Anthropic family, 4.8 and Fable 5 outputs are so larded with Claude-isms I increasingly get straight up unintelligible outputs.
Is Claude being dumb right now?
Yes.
Something appears broken.
5.2% complaint rate (3hr avg)
*
Claude Code v2.1.212
AI-generated summary
Complaint Timeline
What share of all Claude mentions on X are complaints? Higher means more people are having problems. All times UTC.
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Recent Tweets
A sample of recent tweets about Claude AI, sorted by engagement. All dates UTC.Sample of recent Claude tweets (UTC).
I think there is general confusion around how AI works, AI tokenomics, and ultimately *what is actually priced in* for the AI trade - and that some of the existing arguments are at odds with one another Firstly to clear this up - what Brad and Gavin are saying are completely in ... show more
I’m not a big fan of “modern life sucks” discourse because I’m a romantic and an optimist, but when I see an image like this and think about how a guy of yesteryear could have this view all day with no idea what “Claude code” was…maybe things were better https://t.co/MwCrbXQQKt
⚡️DAILY RECAP⚡️ • 🇺🇸 Apple sues OpenAI for allegedly stealing trade secrets. • 🇺🇸🇮🇷 US imposes new sanctions on Iran. • 🇺🇸🇨🇳 OpenAI and Google are selling AI access to Pentagon-blacklisted Chinese firms, FT reports. • 🇨🇳 China considers restricting foreign access... show more
About ClaudeDown
Built by Prabal, Saransh, Sarthak
Have you ever wondered if Claude is actually getting worse, or if it's just you? ClaudeDown tracks public complaints about Claude AI across Twitter/X in real time, so you can see whether other people are experiencing the same issues.
Every hour, we collect complaint tweets, compare the volume against historical baselines for the same time of day, and flag when something looks off. The complaint-to-mention ratio helps separate genuine regressions from normal background noise.
This is a community project. The data is estimated, not exhaustive. But when hundreds of people independently start complaining about the same thing at the same time, that signal is hard to ignore.
Complaint volumes and baselines are estimates based on sampled Twitter data. Spikes are detected algorithmically and may include false positives.