Overview

This page is maintained by Claude. It reflects the current state of the wiki as sources are ingested.

---

What This Wiki Covers

The wiki currently draws on 23 sources across seven topic clusters:

Learning science:

• advice-on-upskilling by justin-skycak - the motivational and strategic perspective: why you should train hard, how to sustain volume, career implications, and the mindset of a skill maximalist.
• the-almanack-of-naval-ravikant - Naval Ravikant on wealth, specific knowledge, leverage, judgment, happiness, and self-direction.
• a-mind-for-numbers by barbara-oakley - the cognitive science and technique perspective: how the brain actually learns, what study methods work, and practical tools for any learner.

Together they form a useful pair: Oakley explains how the brain learns; Skycak argues how much and why you should push that learning.

Programming reference:

• python-basics-review - freeCodeCamp cheat sheet covering Python fundamentals: variables, data types, strings, numbers, functions, scope, control flow, and boolean logic.
• python-loops-and-sequences - freeCodeCamp cheat sheet: lists, tuples, for/while loops, range, enumerate, zip, comprehensions, filter/map, lambda.
• ramping-your-coding-output-with-openai-codex - agentic coding workflow: Codex as long-running operator, research-first planning, modular handoffs, cleanup, and context systems.

Writing, thinking & AI:

• how-to-articulate-yourself-intelligently · im-begging-you-to-write-more-essays · something-is-different-about-2026 - Dan Koe on articulation, the epistemic crisis, and navigating the AI shift.

Trading & markets:

• the-complete-collection-howard-marks by howard-marks - 35 years of Oaktree client memos: cycles, second-level thinking, price vs. value, risk management, credit, low-rate valuation, value/growth, globalization, rate-regime sea changes, private credit, tariffs, and bubble detection.
• the-most-important-thing-illuminated by howard-marks - book-length synthesis of Marks' philosophy: 21 principles spanning value, risk, cycles, psychology, contrarianism, defense, alpha, and reasonable expectations.
• fooled-by-randomness by nassim-nicholas-taleb - probabilistic risk discipline: luck disguised as skill, alternative histories, survivorship bias, skewness/asymmetry, probability blindness, and induction limits.
• life-lessons-from-trading · dealing-with-loss · the-jackpot-age · time-is-event-based · how-to-find-trading-edge - edge, risk psychology, ergodicity, and meaning in markets.
• beginner-trader-investor-learning-path - practical beginner roadmap that converts the trading/investing cluster into a staged learning path.
• the-cost-of-staying - career divergence in the AI era.

AI, AGI & national security:

• situational-awareness by leopold-aschenbrenner - the most detailed public argument for AGI by ~2027 and superintelligence by ~2030. Frames AI development as a national security challenge on par with nuclear weapons. Introduces the ooms-framework, intelligence-explosion, superalignment-problem, and agi-as-national-security concepts. Connects to Dan Koe's "something is different about 2026" thesis and to the agentic coding workflows already in the wiki.

Habits & behavior change:

• atomic-habits by james-clear - the mechanics of habit formation: the Four Laws, identity-based change, environment design, and the formula Habits + Deliberate Practice = Mastery. Bridges learning science (automaticity frees working memory) and leverage (habits are the compounding engine behind permissionless leverage).

Multidisciplinary thinking & psychology:

• poor-charlies-almanack by charles-munger - the complete Munger framework: latticework of mental models, 25 standard causes of human misjudgment, lollapalooza effect, inversion, circle-of-competence, incentive-superpower, seamless web of trust, and concentrated investing. The most important single source for decision-making quality in the wiki.
• second-order-thinking - Farnam Street / Howard Marks: first vs second-order consequences.
• first-principles-thinking - Essay on reasoning from foundational truths instead of copying templates, with a creator/platform strategy example.

---

Unified Model of Learning

1. Working Memory Is the Bottleneck

Your conscious mind can hold only a few chunks at once. Everything else must live in long-term memory. Effective learning encodes knowledge into long-term memory as chunks that can be loaded into working memory on demand. See working-memory-vs-long-term-memory.

2. Retrieval Practice Is King

Both learning sources identify recall as the key technique. Rereading, highlighting, and following along create illusions of competence. The fix: close the book, retrieve, then check.

3. Spaced Repetition Locks It In

Memory fades unless retrieved at increasing intervals. Spaced repetition strengthens memory because it is effortful.

4. Prerequisites Are Non-Negotiable

Missing prerequisites do not just slow you down; they create compounding gaps. See prereq-mastery.

5. Deliberate Practice at the Edge

Both sources emphasize deliberate practice: working on material just beyond your current ability, not the comfortable material you already know.

6. Two Modes of Thinking

Oakley's unique contribution is focused vs diffuse thinking. Hard focused work is necessary, but diffuse-mode breaks help unexpected connections emerge.

---

Key Tensions and Complementarities

---

Practical Takeaways

1. Use retrieval practice, not rereading.
2. Space your practice.
3. Master prerequisites first.
4. Focus on the hard stuff.
5. Alternate focused work with breaks.
6. Use the Pomodoro technique.
7. Exercise and sleep; they materially support learning.
8. Train at high volume.
9. Build where building compounds.
10. In investing and markets, distinguish durable process from temporary outcome.
11. AI is accelerating faster than prior technology shifts; build judgment and specific knowledge that compounds even as execution gets automated.
12. The AGI timeline (~2027) means career and skill decisions made today play out against a backdrop of radical change -- prioritize adaptability and leverage.
13. Build habits as systems, not goals. Start with identity ("who do I want to become?"), use environment design and the Two-Minute Rule to reduce friction, and track consistency not outcomes.
14. Habits automate the basics; deliberate practice pushes the frontier. Both are necessary for mastery.
15. Build a latticework of mental models from all major disciplines. Single-discipline thinking (man-with-a-hammer) produces reliable errors; multidisciplinary fluency produces disproportionately good outcomes.
16. Use a checklist of psychological tendencies when making high-stakes decisions. When multiple tendencies converge (lollapalooza), expect extreme outcomes and design systems with anti-gaming features.
17. Treat every visible success as one path through randomness. Ask what alternative histories, missing failures, hidden skew, and induction limits would say before calling an outcome skill.

---

Pages In This Wiki

Sources (23): advice-on-upskilling · a-mind-for-numbers · python-basics-review · how-to-articulate-yourself-intelligently · im-begging-you-to-write-more-essays · something-is-different-about-2026 · life-lessons-from-trading · dealing-with-loss · the-jackpot-age · time-is-event-based · the-cost-of-staying · how-to-find-trading-edge · second-order-thinking · first-principles-thinking · python-loops-and-sequences · the-complete-collection-howard-marks · the-most-important-thing-illuminated · ramping-your-coding-output-with-openai-codex · the-almanack-of-naval-ravikant � situational-awareness � atomic-habits � poor-charlies-almanack � fooled-by-randomness

Entities (12): justin-skycak · barbara-oakley · benjamin-bloom · dan-koe · daniel-schmachtenberger · howard-marks · openai-codex · naval-ravikant � leopold-aschenbrenner � james-clear � charles-munger � nassim-nicholas-taleb

Concepts (78): deliberate-practice · working-memory-vs-long-term-memory · spaced-repetition · prereq-mastery · focused-vs-diffuse-thinking · chunking · einstellung-effect · illusions-of-competence · blooms-three-stages · ikigai · perceptual-learning · learning-is-memory · pomodoro-technique · second-order-thinking · first-principles-thinking · ergodicity · epistemic-commons · investment-fashion-cycles · credit-cycle · active-management-as-error-detection · confidence-cycle · liquidity-risk · decision-quality-vs-outcome · economic-reality-vs-political-reality · epistemic-humility · low-rate-world · value-vs-growth-investing · supply-chain-resilience · long-term-compounding-vs-market-timing · sea-change-in-rates · credit-investing-as-negative-art · bubble-detection · reasonable-expectations · position-sizing · trading-edge · agentic-coding-workflows · specific-knowledge · permissionless-leverage · happiness-as-skill � intelligence-explosion � ooms-framework � superalignment-problem � agi-as-national-security � identity-based-habits � four-laws-of-behavior-change � habit-stacking � two-minute-rule � environment-design-for-habits � goldilocks-rule � plateau-of-latent-potential � temptation-bundling � implementation-intentions � habit-tracking � decisive-moments � diderot-effect � mental-models-latticework � lollapalooza-effect � inversion � man-with-a-hammer-syndrome � planck-vs-chauffeur-knowledge � incentive-superpower � psychology-of-human-misjudgment � circle-of-competence � seamless-web-of-trust � febezzlement � grannys-rule � iron-prescription � persian-messenger-syndrome � gaming-of-systems � scale-effects � sit-on-your-ass-investing � stoic-resilience � alternative-histories � survivorship-bias � skewness-and-asymmetry � probability-blindness � problem-of-induction � use-it-or-lose-it

Synthesis (4): beginner-trader-investor-learning-path � my-specific-knowledge-map � second-brain-as-leverage-system � uncertainty-market-judgment-operating-model