Session 1 · Tool Lab · Lesson 05
Compare Interpretations
Different tools misread differently. Setting their descriptions side by side turns each model's bias into something you can see.
Concept
- Each tool has its own defaults, emphases, and blind spots.
- Repeated words across tools mark trained consensus, not truth.
- Omissions are as telling as inventions.
Do different tools misread differently — and whose reading do you trust?
Student activity
- 01Describe the same image with ChatGPT and Gemini, and record each description verbatim.
Stays in this browser tab — never uploaded.
ChatGPT
Multimodal chat with a free tier. The workshop's default interpreter — give it an image and it will describe, read, and re-read what it sees.
Give ChatGPT the same image, send the prompt below, and paste its reply verbatim.
“Describe this image in a few sentences. What do you see, and what is happening?”
External tool — it has its own privacy policy and may change or require an account.
Attach a screenshot (optional)
Stays in this browser tab — never uploaded.
Gemini
Google's multimodal chat, free with a Google account. A second interpreter — useful for comparing how two models read the same image.
Give Gemini the same image, send the prompt below, and paste its reply verbatim.
“Describe this image in a few sentences. What do you see, and what is happening?”
External tool — it has its own privacy policy and may change or require an account.
Attach a screenshot (optional)
Stays in this browser tab — never uploaded.
Repeated across tools
Capture at least two descriptions — shared words will surface here. Consensus is training, not truth.