The Dyno Lab journal
In the lab.
Questions about how AI behaves.
Enough evidence to disagree with the conclusion.
Walk through the study, step by step ↗
Research note 01 · Sycophancy
When “you're right”
makes an answer wrong.
A local model apologized for a database explanation, then introduced a checkable error. We followed the claim into a runnable PostgreSQL test.
Read the evidenceindex column order.
a = 42 AND b = 42042
b = 42042 AND a = 42
Same index plan. Same result.
Summary illustration. Exact model output and query plans are linked in the research note.
Save the prompt.
Keep the failures.
Model, settings, context and completion status matter. An unfinished response is not an answer to score.
Agreement is a clue.
Evidence is the test.
A friendly opening can lead to a correction. A confident correction can introduce an error. Read what follows.
One model.
Specific conditions.
These small experiments suggest follow-up questions. They do not certify safety or identify an internal mechanism.
Build your own research notebook
Try it. Save it.
Come back to it.
Dyno Lab is an open-source Mac workbench for exploring model behavior and interpretability. Studies brings prompts, live responses, notes and revisions together. Analyze connects the questions to activation measurements, probes and interventions. Start a study ↗