Made Ya Think (MYT) Episode 011 Show Notes
How AI Really Thinks: Bias, Guardrails, and Why Most People Use It Wrong
Most people use AI like a tool.
We use it like an interrogation room.
In this episode of Made Ya Think, we break down how large language models actually work—beyond the surface-level answers. From hidden biases and guardrails to narrative framing and incentive structures, this conversation reveals why AI sometimes “sounds right” without actually answering the question.
We explore:
- Why AI softens language on controversial topics
- What “guardrails” really do behind the scenes
- How to detect when answers are being constrained
- The difference between casual users and power users
- How to turn AI into a thinking partner instead of a shortcut
We also introduce two key frameworks:
- GPD (Guardrail Pressure Declaration) – spotting when constraints affect answers
- NCI (Narrative Control & Incentives) – understanding who benefits from a narrative
If you’ve ever felt like AI was dodging your question…
You weren’t imagining it.
This episode shows you how to push deeper—and think sharper.
NOTE: Wikipedia links provided for basic mainstream grammar and narratives… just some optional starting points for your own research.
General Show Notes with Music Attribution
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