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explainers

Using Decision Theory in Everyday Choices

Apply decision theory: list all options, define outcomes for each, assign probabilities to outcomes, calculate expected values, then choose highest value.

explainers

Putting Information Theory to Work

Apply information theory: Entropy measures surprise and uncertainty. High entropy is informative, low is predictable. Remove redundancy, prioritize signal.

explainers

Network Theory Applied to Real Relationships

Apply network theory: weak ties connect different clusters bringing novel information. Strong ties provide reliable support and trust between close friends.

explainers

Making Mental Models Actionable

Make mental models actionable: Test predictions against reality, use them to guide decisions, identify blind spots, and refine through feedback loops.

explainers

Making Learning Theory Work in Practice

Apply learning science: Spaced repetition at increasing intervals, retrieval practice testing yourself before reviewing, interleaving topics, elaboration.

explainers

From Theory to Practice: Systems Thinking

Apply systems thinking: Map components and connections, identify feedback loops for growth/stability, find leverage points, test interventions, track effects.

explainers

From Game Theory to Negotiation Practice

Apply game theory: identify game type as zero-sum or positive-sum cooperation, map payoffs for each party, and find Nash equilibrium outcomes.

explainers

Machine Learning Model Training Explained

ML training: Initialize model with random weights, forward pass makes predictions, calculate loss measuring error, backpropagation updates weights, repeat.

explainers

How Search Engines Index and Rank Content

Search engines crawl pages by following links, index content by extracting text and metadata, then rank results using algorithms and relevance signals.

explainers

How Load Balancers Distribute Traffic

Load balancers distribute incoming requests across servers using algorithms like round robin for fairness and least connections for optimal routing.

Concepts

Ideas

Micro-SaaS Ideas with Clear Niches

Focused micro-SaaS concepts serving specific niches profitably—small enough to build solo but valuable enough to sustain a business.

Evergreen Content Strategy Ideas

Build content assets that compound value over time—topics, formats, and distribution strategies for long-term traffic and authority.

Online Business Models Explained

Understand the core online business models—SaaS, marketplace, content, e-commerce, and services—with their economics, challenges, and success patterns.

Technology

AI Limitations and Failure Modes

Understand when AI fails—exploring fundamental limitations, common failure patterns, adversarial examples, and why AI isn't magic but statistical pattern matching.

AI Ethics and Societal Impact

Navigate AI's ethical challenges—from bias and fairness to job displacement, exploring responsible development and societal implications of widespread AI adoption.

Large Language Models Explained

Demystify large language models like GPT—exploring how they work, capabilities, limitations, and practical implications for knowledge work and society.

Work & Skills

Career Capital Explained

Understand career capital—the skills, credentials, relationships, and reputation that create career options and advancement opportunities over time.

Async Communication Explained

Master asynchronous communication—when to use async vs sync, best practices for email and documentation, managing distributed teams, and building effective async-first culture.

Giving Feedback Effectively

Master the art of workplace feedback—delivering critical feedback constructively, receiving feedback well, feedback timing and frequency, and building a feedback culture that drives performance.