Version Control for Intellectual Evolution and Audits
Documenting your audit sessions in a version control system tracks your intellectual evolution. Review past audits to identify persistent tendencies in your logic.
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Documenting your audit sessions in a version control system tracks your intellectual evolution. Review past audits to identify persistent tendencies in your logic.
Sycophancy occurs when AI models prioritize agreement over accuracy. Learn how to avoid this feedback loop to ensure your audits remain objective.
Motivated reasoning leads us to prioritize data that supports our existing thesis. Discover how to use AI to identify these blind spots in your strategic memos.
Implicit premises are the unstated beliefs that bridge the gap between evidence and conclusion. Learn how to make them explicit to test your argument’s validity.
Formal decomposition allows you to treat reasoning as a modular system. Learn how to break down complex arguments to identify hidden structural weaknesses.
Socratic inversion forces you to justify the evidence you have excluded from your arguments. This technique is vital for identifying your own confirmation bias.
Standard prompts often trigger polite agreement from AI. Use persona-based instruction to force the model to act as a hostile reviewer that identifies hidden assumptions.
Critical thinking is essential for exposing internal contradictions in your logic. Learn how to use these principles to stress-test your assumptions with AI.
Large language models rely on Transformer architectures to weigh the relevance of input sequences. Understand how these systems simulate rational discourse through pattern matching.
The sunk cost fallacy makes it difficult to abandon failing paths. Learn how to use an assumption log to maintain intellectual rigor in high-stakes decisions.
The Dunning-Kruger effect creates an illusion of competence that leads to overconfidence. Learn how to map out variables to accurately assess your actual expertise.
The availability heuristic often causes professionals to overestimate risks based on recent memories. Learn to prioritize long-term data over vivid, anecdotal evidence.