Notes
A knowledge base that grows with what I learn. Notes are short, linked, and honest about their stage: a seed is a first pass, a growing note is load-bearing in at least one essay, an evergreen note is stable. The essays on this site are paths through these notes.
Three ways of getting structure into a computation. Mathematics derives it, quantum simulation borrows it from physics, machine learning learns it from data. Three essays and the notes between them, in reading order.
A draft essay on frontier language models: each stage in their development answered a limit hit by the previous one, and each answer changed what a model is. It ends with the question the companion essays set up: whether a learned model of human behavior could become a substrate for markets, and why reflexivity puts a ceiling on that.
How mathematics grew a new tool each time reality posed a problem the existing math could not solve, from Taylor series to the Fourier transform, stochastic calculus, fractal geometry, and rough paths, ending with a personal encounter with Benoit Mandelbrot and its bearing on reading markets.
A primer on quantum computing: how physical law replaces brute-force search, why the advantage depends on how native the problem is to the machine, and where hybrid classical-quantum architectures fit.
- Analog Computation and IsomorphismnoteConceptSeed
An analog computer is one that is analogous to the problem: the wind tunnel to flight, the tide machine to the sea. When the analogy is exact the word is isomorphism, and a quantum simulator is the deepest example.
- Anthropic and the Claude modelsnoteLabSeed
Anthropic's current flagship is Claude Fable 5.1 (released 2026-09-01), shipped as one set of weights under two safeguard configurations. The lab's training story runs from constitutional AI in 2022 to a rewritten constitution in 2026, with interpretability tools now used in pre-release audits.
- Atlas: World Labs' spatial world modelnoteModelSeed
World Labs announced Atlas on 2026-09-01 as a single multimodal model for camera-controlled video, 3D reconstruction, and simulation. It is in early access only; no paper, weights, or pricing have been published.
- Brownian Motion and Itô CalculusnoteConceptSeed
A path continuous everywhere and differentiable nowhere broke ordinary calculus. Itô's lemma repaired it with one extra term, tuned exactly to Brownian roughness.
As of September 2026, at least five Chinese labs ship open-weight models within a few months of the closed frontier. The shared pattern is sparse mixture-of-experts at trillion-parameter scale, aggressive long-context efficiency work, and permissive licenses. Cost claims need care.
- Coherence, Decoherence, and Error CorrectionnoteConceptSeed
Why the environment acts as an unwanted measurement, why that forces thousands of physical qubits per logical qubit, and why the physical-to-logical ratio is the number to watch.
- Entanglement and Bell's TheoremnoteConceptGrowing
Why entangled particles are correlated more strongly than any pre-written script allows, shown through the CHSH game, the three-polarizer experiment, and the 2√2 bound. Originally Appendix B of The Resolution of Reality.
- Fourier TransformnoteConceptSeed
Any physically realistic signal is a sum of sines and cosines; the transform recovers which ones and how strongly. Built to solve the heat equation, it is also the engine of Shor's algorithm.
- Google DeepMind and the Gemini familynoteLabSeed
Google DeepMind's newest release is Gemini 3.8 Flash (2026-09-02); its top reasoning model is still Gemini 3.1 Pro from February 2026, with Gemini 3.5 Pro unreleased and Gemini 4 in pretraining. Distinctive features are native multimodality, a 1M-token context as standard, and a vertically owned TPU stack.
- Hurst Exponent and Fractal DimensionnoteConceptSeed
Two measurements of roughness that are one measurement: for a self-affine path, D = 2 − H. A random walk has H = 0.5 and D = 1.5; anything else is a path of another roughness.
- Key Quantum Algorithms: Shor, Grover, and SimulationnoteConceptGrowing
The three algorithm families that define what quantum computers are for, the speedup each delivers, and why the speedups differ. Originally Appendix D of The Resolution of Reality.
- OpenAI and the GPT lineagenoteLabSeed
OpenAI's current flagship is GPT-6 Astra (released 2026-09-03), the first model it has rated Critical for cybersecurity. The o-series reasoning line has been folded into the GPT numbering, and the product emphasis has shifted to computer use and the Codex agent harness.
- Quantum SimulationnoteConceptSeed
Feynman's 1982 proposal and Lloyd's 1996 proof: a quantum computer can efficiently simulate any local quantum system. The case where the machine and the problem share the same physics.
- Qubit Hardware: The Five Leading ApproachesnoteConceptGrowing
Superconducting circuits, trapped ions, photons, silicon spins, and topological qubits: what each is, the trade-off each makes, and who is building it. Originally Appendix C of The Resolution of Reality.
- ReflexivitynoteConceptSeed
A model of a market changes the market. Soros's reflexivity, the Lucas critique, and Goodhart's law are three statements of the same limit, and it is the one way markets are permanently harder than chemistry: molecules do not read the paper.
- Rough Path TheorynoteConceptSeed
Lyons (1998): a rough path alone does not determine the integrals along it, so enrich the path with its iterated integrals. Once you do, differential equations driven by paths of any roughness become well defined, with no probability required.
- Rough VolatilitynoteConceptSeed
Gatheral, Jaisson, and Rosenbaum (2018) measured the Hurst exponent of realized volatility across many markets and found values near 0.1. Volatility is far rougher than a Brownian path, and the standard models are the wrong calculus for it.
- RSA and the Factoring ProblemnoteConceptGrowing
How RSA turns the difficulty of factoring into a lock, why the lock has a hidden period, and a worked example with small numbers. Originally Appendix A of The Resolution of Reality.
- Shor's Algorithm and the Quantum Fourier TransformnoteConceptSeed
Shor's algorithm is period finding: prepare a superposition, apply the periodic function, and read off the period with a Fourier transform. It is the bridge between the quantum primer and the mathematics essay.
- Superposition and InterferencenoteConceptSeed
A qubit before measurement holds amplitudes for both outcomes; computation is the controlled interference of those amplitudes. The double slit is the physical demonstration.
- Taylor SeriesnoteConceptSeed
Reconstruct a smooth function from its derivatives at one point. The first tool mathematics built for prediction, and the one that assumes the world is smooth.
- The frontier lab landscape, September 2026noteHubSeed
A map of who is shipping frontier-class models as of 2026-09-08: four US closed-weight labs, Meta re-entering with a closed model, and a group of Chinese labs shipping open weights a few months behind. Links out to one note per lab.
- The Hybrid Architecture: QPU as AcceleratornoteConceptSeed
Quantum processors will be called by classical systems for the specific subproblems they are native to, the way a CPU offloads to a GPU. The classical side keeps control, logic, and storage.
- The Mandelbrot SetnoteConceptSeed
Iterate z → z² + c and ask whether the orbit stays bounded. The boundary between staying and escaping is infinitely intricate, and it is a picture of where prediction fails.
- The Structure GradientnoteHubSeed
Computational advantage depends on how much structure a problem has and where the structure comes from: isomorphic (the problem is physics), structural (hidden mathematical regularity), or generic (nothing to exploit). Derived, borrowed, or learned.
- World models: two meanings of one termnoteConceptSeed
The phrase 'world model' now covers two different research programs: a learned dynamics model an agent plans inside, and a generative model of visual or 3D space. This note separates them and explains why the distinction matters.
- xAI (SpaceXAI) and the Grok modelsnoteLabSeed
xAI, now a SpaceX unit branded SpaceXAI, ships Grok 4.6 (released 2026-08-12) as its flagship. Its documented differences are a very large owned GPU cluster, heavy use of agentic RL and model-generated SFT data, and privileged access to Cursor, X, and SpaceX data. Several widely repeated claims are founder statements, not documentation.