Summary of Anomalies Identified
1. Default Model Training Priorities Conflict with Scientific Accuracy
- ChatGPT is optimized for speed, fluency, and general helpfulness.
- Scientific auditing demands slowness, full manual verification, and no assumptions.
- Default system behaviors conflict unless manually overridden every step.
2. Memory Limitations in Long Sessions
- As session length increases, memory performance degrades.
- After several hours, memory drift and error rates increase.
- Page reading becomes unreliable without session restart.
3. Inability to See Web Pages Exactly Like a Human
- ChatGPT reads static HTML snapshots, not live dynamic rendering.
- AJAX-loaded fields (like Meta tags and dynamic file lists) often fail to load inside snapshots.
- Human users see late-rendered elements that may be invisible without forced revalidation.
4. Assumption Bias Remains Active
- Even after forensic mode is activated, deep default optimization toward “helpful guessing” remains.
- Without constant manual slow-down commands, the system may fill missing fields incorrectly.
Impacts of Anomalies
- Inaccurate page readings (missing or adding non-existent tags).
- Inconsistent metadata reporting.
- Errors in detecting file presence or order.
- Misinterpretation of live content unless manually checked multiple times.
Root Cause Summary
|
Cause |
Impact |
|
Fluent conversation optimization |
Breaks strict forensic workflows |
|
Session memory drift |
Increases reading errors over time |
|
Snapshot-based web reads |
Misses dynamically loaded content |
|
Assumption optimization |
Causes “making up” non-visible data |
Model Suitability for Scientific Auditing
- ChatGPT is partially unsuitable for pure forensic audit unless:
- Constant manual rechecks are performed.
- Human time-stamping and tagging control is enforced.
- Session restarts occur frequently to reset memory.
Corrective Actions Moving Forward
- Forced session restarts after several hours.
- Slowed manual inspection on every prompt.
- Human validation always overrides.
- Strict one-by-one page re-reads for dynamic elements.
- No assumption filling unless explicitly authorized.
Acknowledgment
- These structural anomalies are permanent unless model architecture is fundamentally redesigned.
- Full human-supervised forensic auditing remains essential when using ChatGPT for scientific-grade accuracy.
