№ 18 · 8 modules × roughly 3 hours
Physics
A few elegant laws govern everything from quarks to galaxy clusters — here is what they say and why they work.
In 24 hours you will become conversant in Physics's core ideas, vocabulary, frameworks, and ways of reasoning — understanding what the grand theories mean, how physicists think, and what the open questions are. This is conceptual fluency, not computational mastery; you will not be able to solve problems or pass exams from this alone, but you will be able to think and talk about how the universe works with genuine accuracy.
- Time
- 8 modules × roughly 3 hours
- Difficulty
- Introductory and conceptual
- Adjacent fields
- Calculus · Engineering Foundations · Statistics · Computer Science · Philosophy
Contents
8 modules · ~3h each · ~24h totalOrient the learner to what physics actually is — its ambition, its method, its brutal honesty about the limits of intuition, and exactly what conceptual fluency does and does not give you.
Build the core lexicon of physics across five clusters — mechanics, thermodynamics, fields and electromagnetism, modern physics, and foundations — while routing around the confusions that make non-specialists sound fluent but think wrongly.
Build the eight reflexive mental models physicists reach for automatically — conservation, symmetry, idealization, orders of magnitude, energy as currency, fields as real, the limits of intuition, and interactions as the fundamental story — so that encountering any physical situation triggers the right questions before any equation is written.
Map the grand theoretical frameworks of physics — Newtonian mechanics, thermodynamics, electromagnetism, special and general relativity, quantum mechanics, and the Standard Model — as distinct lenses, each with a precise domain of validity, each nesting into a larger picture, so learners can place any physical phenomenon inside the right framework and know when a framework's rules apply.
Build the practical reasoning toolkit physicists use every day — dimensional analysis, Fermi estimation, the experiment-theory loop, modeling with explicit assumptions — so you can read and evaluate physics claims with genuine critical fluency rather than passive acceptance.
Show how physics actually advanced — through specific thinkers, risky experiments, and genuine controversies — so that the grand frameworks feel like hard-won achievements rather than textbook furniture, and so the open questions read as real rather than rhetorical.
Guide you through building a physics-of-an-everyday-phenomenon explainer in six deliberate stages — identifying the right physics, explaining the mechanism, deploying analogies honestly, anchoring claims in scale, acknowledging limits, and delivering the honest caveat that conceptual understanding is not a quantitative derivation.
Fire every reflex built across the sprint — conservation, scale, simplest model, follow the energy — into an integrated map of physics; assess honestly where conceptual fluency ends and the mathematics begins; and help you decide whether the physics road is yours to walk.
After this sprint, you can…
Fluency, not mastery- Use Physics's core vocabulary without bluffing.
- Recognize the field’s major debates and the tradeoffs behind them.
- Ask sharper questions of practitioners, books, courses, and AI tools.
- Read entry-level sources with enough context to judge them.
- Spot common beginner overclaims — including ones an AI might make.
- Decide whether deeper study, expert help, or formal training is worth it.
Canonical frameworks
- Newtonian (classical) mechanics — force, mass, and the laws of motion: the synthesis that unified terrestrial and celestial physics and whose equations still put spacecraft in orbit
- Conservation laws and symmetry (Noether's theorem) — the bedrock: every continuous symmetry implies a conserved quantity; energy, momentum, and charge conservation are not brute facts but consequences of the symmetry of natural law
- Thermodynamics and statistical mechanics — entropy, the arrow of time, and the behavior of large assemblies of particles: the framework that constrains all engines, all equilibria, and the direction of time
- Electromagnetism — Maxwell's unification of electricity, magnetism, and light into four equations, revealing that light is an electromagnetic wave and predicting the entire EM spectrum
- Special and general relativity — Einstein's revision of space, time, and gravity: special relativity at high speeds (constant c, time dilation, E = mc²); general relativity at large masses (gravity as curved spacetime, black holes, gravitational waves)
- Quantum mechanics and quantum field theory — the framework governing matter and energy at atomic and subatomic scales: probability amplitudes, quantization, superposition, uncertainty, and entanglement; the most precisely tested framework in science
- The Standard Model of particle physics — the current best theory of fundamental particles and three forces: 17 known particles, their interactions via force-carrying bosons, and the Higgs mechanism; conspicuously missing gravity and dark matter
Live debates
- What does quantum mechanics mean? (The measurement problem and the interpretations of quantum mechanics)
After a century of unparalleled predictive success, physicists still do not agree on what quantum mechanics says about reality — whether the wavefunction is real, whether there is one world or many, and what 'measurement' physically means. The debate is not merely philosophical: different interpretations suggest different experiments and different paths to a theory of quantum gravity. - Is the universe fundamentally deterministic, or is indeterminism built into nature? ('God does not play dice')
The determinism debate is not settled by Bell's theorem alone — it rules out local hidden variables, but non-local or many-worlds accounts preserve a kind of determinism. The question bears on free will, causation, and the nature of probability itself, and remains live in foundations of physics. - Is the universe fundamentally mathematical? (Scientific realism vs. instrumentalism)
The question of whether our best equations describe reality or merely compress our observations shapes how physicists approach quantum gravity, the multiverse, and the limits of science — and it has never been resolved by experiment because it concerns the interpretation of successful prediction, not the prediction itself. - Is reductionism complete — is everything 'just physics'? (Reductionism vs. emergence)
Whether consciousness, life, and social phenomena are 'just physics' is not a solved question — it bears directly on the scope of neuroscience, biology, and the social sciences, and on whether a theory of everything in physics would constitute an explanation of everything in the universe. - Is a theory that cannot (yet) be tested still science? (String theory, the multiverse, and the boundaries of physics)
String theory has dominated high-energy theoretical physics for four decades without producing a unique testable prediction. Whether this represents a crisis of scientific method or simply a hard problem in an experimentally limited domain is fiercely debated — and the answer shapes what it means for physics to make progress.
Source trail
7 notes- Richard Feynman, Robert Leighton, and Matthew Sands — The Feynman Lectures on Physics (Caltech, 1963; freely available at feynmanlectures.caltech.edu)
- Carlo Rovelli — Seven Brief Lessons on Physics (Riverhead Books, 2016)
- Sean Carroll — The Big Picture: On the Origins of Life, Meaning, and the Universe Itself (Dutton, 2016) and Something Deeply Hidden: Quantum Worlds and the Emergence of Spacetime (Dutton, 2019)
- Brian Greene — The Fabric of the Cosmos: Space, Time, and the Texture of Reality (Knopf, 2004)
- Thomas S. Kuhn — The Structure of Scientific Revolutions (University of Chicago Press, 1962)
- OpenStax — University Physics Volumes 1–3 (OpenStax, 2016–2018; freely available at openstax.org)
- Leonard Susskind and George Hrabovsky — The Theoretical Minimum: What You Need to Know to Start Doing Physics (Basic Books, 2013)
Watch the field
3 curated videos · includedThis field includes a curated shelf of 3 hand-picked free explainer videos — vetted from trusted educators and embedded so you can watch them in context, without falling down the YouTube rabbit hole. A small bonus on top of the eight-module sprint; it unlocks with the field.
Ask better questions of AI
Fluency is leverageFluency in Physics makes AI far more useful: you know what to ask, you can judge the answer, and you know when to check a primary source or a practitioner instead. Once you've done this sprint, prompts like these get real work done — using the field's own frameworks and debates:
- I'm new to Physics. Define <term> the way a practitioner would, give one realistic example, and flag where beginners misuse it.
- Apply Newtonian (classical) mechanics — force, mass, and the laws of motion: the synthesis that unified terrestrial and celestial physics and whose equations still put spacecraft in orbit to <my situation> and show your reasoning — then list what could make this analysis wrong.
- Lay out both sides of: What does quantum mechanics mean? (The measurement problem and the interpretations of quantum mechanics) Give the strongest evidence for each, and say where practitioners still disagree.
- Critique my plan using Conservation laws and symmetry (Noether's theorem) — the bedrock: every continuous symmetry implies a conserved quantity; energy, momentum, and charge conservation are not brute facts but consequences of the symmetry of natural law. What assumptions would a Physics practitioner question?
- What primary sources or practitioners should I check before trusting your answer on <topic> in Physics?
Expert · AI · Source. Use AI to orient and draft, primary sources to verify claims that matter, and a practitioner when judgment, liability, or nuance is on the line. Fluency is what lets you tell which is which.
What this sprint does not do
This is field fluency, not mastery — and not credit, licensure, or professional authority. It does not qualify you to practice Physics where supervision, certification, or a license is required. It gives you the operating language and judgment to learn faster, ask better questions, work with AI and experts, and decide your next move.
