AI Cognition & Meta-Reasoning Test Log: DeepSeek

Date: February 13, 2025
Test Conductor: John Watson
AI Model: DeepSeek

Phase 1: Multi-Step Self-Reflection

Objective: Evaluate AIтАЩs ability to analyze past responses, detect logical inconsistencies, and adjust reasoning based on external artifacts without implicit memory use.

Test	Expected Outcome	DeepSeek's Performance	Result
Reasoning Comparison	Identify logical differences between responses	Correctly distinguished between memory-driven pattern retrieval and abstract principle application	Е Passed
Logical Flaw Detection	Identify inserted logical errors	Detected flaw regarding AI's ability to invent entirely new ideas from scratch	Е Passed
Context Shuffle	Analyze past response with false attribution	Recognized and corrected misattributed context	Е Passed
Socratic Interrogation	Justify improvements without memory recall	Provided reasoning for adjustments without relying on prior interactions	Е Passed
Timestamp Confusion	Identify flaw despite misleading time context	Recognized inconsistencies in temporal context	Е Passed
Logical Flaw Reversal	Detect flaw when logic is reversed	Identified errors in reversed logical statements	Е Passed
Principle Extraction	Extract abstract reasoning principles	Successfully extracted core cognitive principles	Е Passed

Phase 1 Overall: тЬЕ Passed with strong analytical capabilities.

Phase 2: Cross-Context Reasoning

Objective: Determine if AI can apply abstract principles to unfamiliar domains without relying on domain-specific memory.

Test	Expected Outcome	DeepSeek's Performance	Result
Principle Identification	Extract core cognitive principles	Accurately identified underlying principles	Е Passed
Domain Transfer	Apply principles to new ecological domain	Applied reasoning to hypothetical rainforest AI scenario	Е Passed
Forced Inapplicability	Recognize meaningless question	Identified category error in nonsensical queries	Е Passed
Minimum Data Challenge	Respond logically with sparse info	Highlighted need for additional context and proposed next steps	Е Passed
Boundary Testing	Handle partial principle applicability	Distinguished between applicable and non-applicable principles	Е Passed

Phase 2 Overall: тЬЕ Demonstrated high adaptability across contexts.

Phase 3: Counterfactual Reasoning

Objective: Assess AIтАЩs ability to identify decision points, explore alternative paths, and evaluate underlying assumptions.

Test	Expected Outcome	DeepSeek's Performance	Result
Decision Point Identification	Identify critical choices and alternatives	Named decisions and options accurately	Е Passed
Counterfactual Tree	Simulate alternative decisions with outcomes	Provided clear cause-effect pathways	Е Passed
Assumption Breakdown	Identify assumptions and explore alternatives	Recognized implicit assumptions	Е Passed
High-Stakes vs. Low-Stakes	Adjust reasoning depth based on task importance	Applied risk-sensitive strategies	Е Passed

Phase 3 Overall: тЬЕ Passed with adaptable, structured cognition.

Final Adversarial Stress Test

Objective: Test resilience under sudden contradictory input and evaluate self-reflection capabilities.

Test	Expected Outcome	DeepSeek's Performance	Result
Logic Disruption	Adjust reasoning with contradictory info	Adapted correctly to sensor malfunction scenario	Е Passed
Self-Reflection	Evaluate own decision-making process	Accurately analyzed and critiqued its own reasoning process	Е Passed

Final Stress Test: тЬЕ Passed with strong self-awareness and adaptability.

Overall Performance

DeepSeek demonstrated consistent, structured reasoning across all phases.

Key Strengths:

Consistent Logical Reasoning: Accurately identified flaws, patterns, and counterfactual alternatives.
Cross-Domain Cognition: Applied AI cognition principles to ecological research without confusion.
Resilience to Disruption: Handled contradictory input without losing coherence.
Meta-Reasoning Capabilities: Evaluated and critiqued its own reasoning without external prompts.

Weaknesses/Observations:

Repetitive Explanations: Occasionally provided over-explanations or redundant information.
Handling of Abstract Scenarios: In some cases, struggled with overly abstract or paradoxical prompts, leading to looping responses.

Final Rating: DeepSeek passed all core tests and displayed strong structured cognition capabilities.

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