Michael Spencer
Creator & Host of AI Explained
Creator and host of AI Explained, the acclaimed YouTube channel with over 400,000 subscribers known across the frontier research community for the most thorough, non-hype technical evaluations of frontier models, ARC-AGI, SWE-bench verified, and AI safety risks.
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Proof of Work
AI Explained: Rigorous Evaluation of Frontier Reasoning & Coding Models
Conducted independent empirical benchmarking evaluating reasoning saturation on GPQA, ARC-AGI, and SWE-bench, identifying degradation patterns in extended context retrieval.
Public benchmarks risk subtle test-set contamination in subsequent foundation model training rounds.
Context: GPT-4o, Claude 3.5 Sonnet, o1-preview, SWE-bench Verified, ARC-AGI.
View missionAutonomous Software Engineering and Frontier Safety Evaluation Metrics
Formulated comparative methodology for auditing agentic code generation harnesses against real-world GitHub issues, isolating scaffolding efficacy from raw model intelligence.
Unit test pass rates on narrow issue fixes do not evaluate entire codebase architectural coherence.
Context: SWE-bench test harness, Docker execution sandboxes, Claude 3.5 Sonnet.
View mission