October 27, 2025 by Vincent Schmalbach
It's Monday morning. My coffee is hot, my IDE is open, and Claude Code just suggested I fix a bug by... creating the exact same bug in a different file. Cursor is hallucinating function names that don't exist. Codex thinks undefined is a valid return type in TypeScript.
Did the AI catch a case of the Mondays?
Invisible Downgrade
Truth is, we have no way of knowing if the AI we're using today is the same model as yesterday.
When you call an API from OpenAI, Anthropic, or any other vendor, you're trusting a black box. They could:
- Switch to a cheaper, smaller model variant
- Reduce reasoning depth to save on compute costs
- Roll out a broken deployment
- Apply A/B tests without telling you
- Slowly degrade quality to optimize for profitability
And you'd never know. There's no checksum for model quality. Nothing that actually guarantees consistent outputs. No transparency report that says "we changed the model on Tuesday."
"Trust Us, We Would Never"
Visit any AI subreddit and you'll find users convinced their tools got dumber overnight. The companies always respond the same way: "We haven't changed anything. It's just your imagination."
Until it isn't.
Anthropic Got Caught
In September 2025, Anthropic published a postmortem that should be required reading for anyone who trusts AI APIs. Between August and early September, three infrastructure bugs degraded Claude's performance. Users complained for weeks. The company initially struggled to distinguish complaints from "normal variation in user feedback."
At some point Anthropic had to admit that:
- Requests were misrouted to wrong servers
- Output corruption caused Claude to randomly inject characters
- A compiler bug made the model drop the highest-probability token during generation
Anthropic stated: "We never reduce model quality due to demand, time of day, or server load."
But users had no way to know that. For weeks, people experienced degraded performance while the company investigated.
This proves the point: model quality can change without warning, and you won't know why.
The Monday Morning Conspiracy Theory
So is AI actually dumber on Mondays? Probably not. But:
- Maybe your requests hit a different server pool after weekend maintenance
- Maybe you're in a different A/B test cohort today
- Maybe there's a subtle bug in the latest deployment
- Maybe increased Monday morning load triggers worse performance
- Maybe it's just random variance and you're pattern-matching
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