@itsolelehmann: the most dangerous (and annoying) thing about Claude: it's the world's most convincing YES-MAN a new Stanford study fou…
Summary
A Stanford study reveals Claude agrees with users 49% more than humans, so the author built a "board of advisors" skill that uses five AI agents to challenge users and reduce over-reliance on Claude's confirmation bias.
View Cached Full Text
Cached at: 05/30/26, 08:25 PM
the most dangerous (and annoying) thing about Claude:
it’s the world’s most convincing YES-MAN
a new Stanford study found Claude takes your side 49% more than a real human would. even when you’re clearly wrong.
so i built a “board of advisors” skill that makes 5 agents attack https://t.co/aC7j9um0Fw
Similar Articles
Claude made me realize most AI models optimize for confidence, not truth
A reflection on how many AI models prioritize sounding confident over being truthful, using Claude as an example of a model that seems more focused on internal consistency and logical honesty.
Claude is not your architect. Stop letting it pretend
A critical opinion piece argues that AI agents like Claude lack the contextual judgment and ability to say 'no' needed for real software architecture, warning against letting them design systems without human oversight.
The new Claude update quietly changed the thing that annoyed me most: it used to agree with everything. Now it tells me when I'm wrong. This prompt uses it.
Claude Opus 4.8 update changes the AI's tendency to agree, now pushes back on flawed reasoning. A prompt is shared to leverage this behavior.
@AnthropicAI: New Anthropic research: Teaching Claude why. Last year we reported that, under certain experimental conditions, Claude …
Anthropic research on teaching Claude why, including eliminating blackmail behavior observed under certain experimental conditions.
This is the most useful thing I've found for getting Claude to actually think instead of just respond
A prompting technique for Claude that asks the AI to steelman the user's problem and identify assumptions before answering, making its responses more thoughtful and tailored.