Modes of Thinking worth Internalizing

Latticework of Mental Models
 Ex., pushing How to Think into intuition

Systematizing Creativity
 Ex., Reframing, Questioning Assumptions, Abstraction & Generalization, Decomposition, Composition / Recombination, Generators, Leading Questions, etc.

Filter at the Intersection of Competing Worldviews

Ex., Worldview Building

Ex., Internalizing the conceptual style of intellectual giants


Intelligence Decomposition & Optimization Along All Axes

Memory (Working, Episodic, Long Term)

Attention (though this feels like a limitation)

Having a model

Abstract Knowledge Representation

Ability to Generalize

Learning / Adaptivity

Creativity

Information processing / Computation speed

Goal accomplishment


Technical Consilience (Seeing the unity of knowledge behind every natural science) by internalizing:

Information Theory (Cover / Thomas)

Statistical Mechanics (Talman)

Algorithmic Game Theory (Nisan)

Nonlinear Dynamics and Chaos (Strogatz)

Mechanism Design (Borgers)

Algorithms (CLRS)

Neuroscience (Principles of Neural Science)

Electromagnetics (Haliday / Resnick)

Quantum Mechanics (Griffiths)

Nuclear Physics (Krane)

Chemistry (Brown)

Intro Proof (How to Prove It)

Analysis (Abbott)

Set Theory (Halmus)

Abstract Algebra (Dummit, Foote)

Topology (Munkres)

Category Theory (Pierce, then Awodey)

Probability Theory: The Logic of Science (Jaynes)

Machine Learning: A Probabilistic Perspective

Computational Learning Theory (Kearns)

Learning Invariant Representations (Poggio)

Causality (Pearl)

Computability and Logic (Boolos)


Thinking and Deciding (Baron)

Types of thinking

On the Study of thinking (meta)

Rationality

Logic

Normative Theory of Probability

Descriptive theory of probability judgment

Hypothesis Testing

Judgement of correlation and contingency

Actively openminded thinking

Normative theory of choice under uncertainty

Descriptive theory of choice under uncertainty

Choice under certainty

Utility Measurement

Decision Analysis and Values

Quantitative Judgment

Moral judgment and choice

Fairness and Justice

Social Dilemmas: Cooperation vs. Defection

Decisions about the future

Risk


Path to Awakening / Enlightenment, ex. the intersection of:

Shinzen Young’s The Science of Enlightenment

Calduasa’s The Mind Illuminated

Chapman’s Meaningness

Wallis’s Trantra Illuminated

Ingram’s Mastering the Core Teachings of the Buddha


Discover and internalize lost philosophical traditions
 Ex., Al Gazali, Mohisim, Presocratics, I Ching

Rationalism (May be too similar to Thinking and Deciding…)
 As framed in SSC / LW / Sequences / HPMOR / Inadequate Equilibria

Turn machine learning into a fully fledged philosophy around how to think (May be a subset of technical concilience…)

BiasVariance Tradeoff

Overfitting

Controlling complexity

Model simplicity (restriction methods)

Selection methods (over features)

Regularization



Curse of dimensionality

Ensemble Modeling

Occam’s Razor (Formalized)

Training vs. Generalization Error

Interpolation vs. Extrapolation

Smoothness

VC Dimension

Variance Maximization
 Optimizing for Volatility vs Expected Value

Bayes Rule

Bayes Error

ExplorationExploitation

Manifolds as Data Representation
