AI Systems
Autonomous Agents Need Epistemology, Not Parameters
The bottleneck in autonomous agents is epistemic competence, not capability. Implementing uncertainty quantification reduced confidently wrong actions by 78%.
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AI Systems
The bottleneck in autonomous agents is epistemic competence, not capability. Implementing uncertainty quantification reduced confidently wrong actions by 78%.
Jul 07, 2026
Philosophy
A hypothesis that cannot fail is not a hypothesis. Popper's falsifiability criterion reveals why most A/B tests produce confirmation, not knowledge.
Jun 19, 2026
Philosophy
The engineering mindset demands testable claims. Intellectual honesty demands acknowledging that empiricism has boundaries, not that everything beyond them is nothing.
Jun 18, 2026
Philosophy
Most organizations confuse measurement with understanding. The epistemology of metrics reveals the gap between data on a dashboard and actual knowledge.
Apr 27, 2026
AI Systems
METR's randomized trial found AI tools made experienced developers 19% slower while they believed they were 24% faster. The perception gap demands investigation.
Apr 13, 2026
Process
Calibrated teams delivered within 15% of estimates 74% of the time versus 31% for gut-feel. The difference was self-knowledge, not technical skill.
Apr 10, 2026
Philosophy
Imposter syndrome is the emotional experience of Socratic wisdom without the framework to recognize it as virtue. The doubt is the competence.
Mar 19, 2026
Architecture
Observability is epistemology for distributed systems. Logs, metrics, and traces construct knowledge about systems too complex for direct inspection.
Mar 17, 2026
Data
Goodhart's Law states that when a measure becomes a target, it ceases to be a good measure. After managing 30+ metrics across 1,000+ programs, the…
Mar 12, 2026
AI Systems
Language model hallucination is treated as a defect, but it is a fundamental property of probabilistic text generation. Models will always produce confident, occasionally fictional…
Mar 12, 2026