AI Bullshit Detector
Richard ReayEssays examining subtle epistemic failures in contemporary AI systems, especially cases where models sound reasonable while quietly substituting argument and avoiding responsibility to truth.
| Platform |  | Pricing | Only free issues | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 31 | Subscribers | Read | richyreay.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Alignment Cannot Be Purely Top-Down. But It Cannot Be Legitimised by “Community” Alone Either
Audrey Tang’s critique of top-down AI alignment gets the basic diagnosis right. A small group of firms should not quietly decide what counts as acceptable reasoning for everyone else. But replacing corporate control with community input doe...
Epistemic Governance and the Illusion of Alignment
At first, it looks like a minor UX irritation. On a second pass, it starts to look like a legitimacy crisis.
When Defaults Start Doing the Thinking
Modern institutions run on compression.
When Alignment Replaces Answers
Public concern about artificial intelligence still focuses on error. Hallucinated facts. Fabricated citations. Biased or offensive outputs. These failures are visible, measurable, and, at least in principle, correctable. They are also not t...
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Essays examining subtle epistemic failures in contemporary AI systems, especially cases where models sound reasonable while quietly substituting argument and avoiding responsibility to truth. Written by Richard Reay.
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