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Tag: epistemology

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%.

Philosophy

Popper’s Falsifiability and Your A/B Test

A hypothesis that cannot fail is not a hypothesis. Popper's falsifiability criterion reveals why most A/B tests produce confirmation, not knowledge.

Philosophy

Religious Anti-Realism and Engineering Temperament

The engineering mindset demands testable claims. Intellectual honesty demands acknowledging that empiricism has boundaries, not that everything beyond them is nothing.

Philosophy

Epistemology of Metrics: What We Measure and Know

Most organizations confuse measurement with understanding. The epistemology of metrics reveals the gap between data on a dashboard and actual knowledge.

AI Systems

The Productivity Placebo: METR’s AI Coding Study

METR's randomized trial found AI tools made experienced developers 19% slower while they believed they were 24% faster. The perception gap demands investigation.

Process

Estimation Is Epistemology: Confidence Intervals

Calibrated teams delivered within 15% of estimates 74% of the time versus 31% for gut-feel. The difference was self-knowledge, not technical skill.

Philosophy

Imposter Syndrome as Socratic Wisdom

Imposter syndrome is the emotional experience of Socratic wisdom without the framework to recognize it as virtue. The doubt is the competence.

Architecture

Observability as Epistemology for Distributed Systems

Observability is epistemology for distributed systems. Logs, metrics, and traces construct knowledge about systems too complex for direct inspection.

Data

Goodhart’s Law and the Weaponization of KPIs

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…

AI Systems

Hallucination Is Not a Bug

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…

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