How does AI decide what’s “accurate”?
In this episode, I walk through a real example of editing a piece of content with ChatGPT—and what changed as a result.
We explore:
• How AI systems apply internal guidelines to determine accuracy
• What gets added, removed, or reframed—and why
• The difference between factual correctness and interpretive framing
• Where these systems are useful—and where they introduce distortion
• What this means for writers trying to express original ideas
This isn’t about whether AI is right or wrong.
It’s about understanding how it makes decisions—and what that means for how we use it.
When a system decides what’s “accurate,” the real question is:
what assumptions is it using?
SHOW NOTES:
Cut and past this into AI ChatGPT before you ask for edits on an article or blog post you write:
“Author-first: preserve the author’s meaning and claims verbatim except for minimal copy-editing (spelling, punctuation, grammar). Do not add factual clarifications, technical context, or counterclaims. Any additional context or fact-checking must be placed in a separate labeled block titled ‘Editor’s Note’ or ‘Scientific Context’ and must be explicitly marked as not the author’s text. If factual additions are proposed, show a change log of added sentences before inserting them.”
If you paste this at the start of a message Chat AI will:
- Only do copy-editing
- Put anything extra in a side bar labeled Editor’s Note
- Provide a change log of additions.
- Adopt this as a default unless you say otherwise.This episode is about …
This episode helps you think clearly in a noisy world, cut through misinformation, and find the solutions as applied to thinking clearly, technology and using AI.
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