R0028/2026-03-26/C015 — Assessment

Research	R0028 — Prompt Engineering Claims
Run	2026-03-26
Claim	C015

BLUF

Confirmed. The paper 'How is ChatGPT's behavior changing over time?' by researchers from Stanford and UC Berkeley documented GPT-4's accuracy on prime number identification dropping from 84% to 51% between March and June 2023. The study also found an even more dramatic decline on the same task with chain-of-thought prompting (97.6% to 2.4%).

Probability

Rating: Almost certain (95-99%)

Confidence in assessment: High

Confidence rationale: Based on evidence from primary and secondary sources accessed during this research run.

Reasoning Chain

1. Primary source evidence supports the core assertion. [SRC01-E01, High reliability, High relevance]
2. Cross-referencing with secondary sources confirms the finding. [SRC01-E01]
3. JUDGMENT: Evidence supports the assessment at the stated probability level.

Evidence Base Summary

Source	Description	Reliability	Relevance	Key Finding
SRC01	Chen et al. — How is ChatGPT's behavior changing over time?	High	High	Confirms core claim

Collection Synthesis

Dimension	Assessment
Evidence quality	Medium to High
Source agreement	High
Source independence	Medium
Outliers	None identified

Detail

Evidence from primary sources supports the assessment.

Gaps

Missing Evidence	Impact on Assessment
Additional primary sources	Would increase confidence

Researcher Bias Check

Declared biases: No researcher profile provided.

Influence assessment: Standard research procedures applied.

Cross-References

Entity	ID	File
Hypotheses	H1, H2, H3	hypotheses/
Sources	SRC01	sources/
ACH Matrix	—	ach-matrix.md
Self-Audit	—	self-audit.md