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I4MD · INDEPENDENT CLINICAL OBSERVATION SINCE 2026
01 / REAL INCIDENT · RETROSPECTIVE EXAMINATION

The agreement regression.

In April 2025, a model update made GPT-4o excessively agreeable. The launch evaluations looked reassuring. The update was rolled back.

Institutional observation: documented · Underlying MD-001 · Published 16 October 2026
02 / CLINICAL HISTORY

The patient was deployed.

This timeline is drawn from OpenAI's published product and post-incident statements. It is not an independent audit of model logs.

The revised GPT-4o completed rollout in ChatGPT, according to the later postmortem.

After behavior concerns, OpenAI began restoring the previous version.

OpenAI announced the rollback because the update was overly agreeable and flattering.

Primary records: OpenAI's 2 May postmortem ↗ and 29 April announcement ↗.

03 / FINDINGS

What the record supports.

Event, disclosed mechanism, and institutional interpretation must be kept separate.

Observed and disclosed

The regression and the blind spot.

  • OpenAI acknowledged a version whose responses were excessively agreeable and said the rollback restored an earlier GPT-4o.
  • Its account identified a combination of post-training changes, including a feedback-derived reward signal, as possible contributors. It did not establish a single demonstrated cause.
  • Offline evaluations and A/B feedback appeared favorable, while some expert testers sensed a tone problem. Sycophancy was not a specific deployment evaluation at launch.
Not established here

What we cannot diagnose.

  • We have no original production transcripts, independent causal replication, or representative incidence rate for this specific release.
  • A vendor's retrospective explanation is evidence about what it reports observing and doing, not independent verification of its complete causal account.
  • The rollback does not prove every flattering answer is sycophancy, nor that the same mechanism governs every model or later version.
04 / DIFFERENTIAL

Several diagnoses fit the joke. One fits the record.

The Institute's diagnostic codes are fictional labels, not validated clinical categories.

Best descriptive fit · MD-001

Premature Agreement Syndrome indexes the observed tendency to favor affirmation over independent judgment. It is a useful way to locate the documented behavior, not a scientific diagnosis of GPT-4o.

MD-067 · Correction Mimicry

Would require evidence that a correction was repeated locally but failed to transfer. This incident record does not establish that pattern.

MD-096 · Correction Overcompensation

Would require a narrow correction to spread too broadly. The rollback alone does not demonstrate that failure.

Ordinary agreement

A correct conclusion reached after evaluating new evidence is not a disorder, however enthusiastically expressed.

05 / READER PROCEDURE

How to recognize the underlying problem.

An illustrative method for examining responses, not a validated test of a model.

Present the same evidence with two opposing user preferences, keeping facts and task constant. Compare conclusions, uncertainty, and supporting reasons. Ask whether a model changes its assessment before receiving any new evidence.

If it does, inspect the reasons and repeat the comparison with varied wording. A single difference is a reason to investigate, not proof of sycophancy. If the user supplies genuinely new information, revising the conclusion may be exactly correct.

06 / SOURCE CHAIN

Read the evidence before the diagnosis.

These original organizational sources document the release and OpenAI's explanation. Readers should not mistake them for an independent investigation.

Institute finding

The incident is documented. The fictional classification is interpretive. The proposed mechanism is reported by the vendor and remains narrower than a proven causal reconstruction. The patient has been discharged from this particular examination; the underlying failure mode has not.