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Mu, in one page

Mu is small, Unicode, S-expression-ish configuration data. The core language only describes structure; a schema decides what that structure means.

(service "api"
  :ports [8080 8443]
  :env {mode: prod, tracing: true})

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Phi, briefly

Phi is a tiny self-describing binary tree format. A document is two binary blobs written directly next to each other:

[ encoded type ][ value encoded according to that type ]

The first blob describes the value's complete Phi type. The second blob holds

sir-wabbit

from dataclasses import dataclass

@dataclass
class Stop:
    value: any

@dataclass
class Resume:
    value: any

sir-wabbit

package one.wabbit.cla.server

import java.lang.reflect.InvocationHandler
import java.lang.reflect.Method
import java.lang.reflect.Proxy
import kotlin.test.Test

interface Thawable<out T> {
    fun unsafeThaw(): T
}

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NOTE: "complexity" is somewhat vaguely defined here. The real distinction is whether we

• expect an immediate return,
• expect some non-trivial work that is a function of input size or object size
• expect I/O-bound work

---

Name / Pattern	Intended use	I/O allowed	Typical complexity expectation	Can mutate this	Exceptions: allowed by default	"Expected failure" alternative
of(...)	Construct from domain parts or a domain identifier (validated factory)	No	Smal

sir-wabbit

#!/usr/bin/env python3
"""
Get a full YouTube transcript in English (manual or auto) by URL/ID.
- Tries native English first; if absent, translates another language to English.
- Supports TXT/SRT/VTT/CSV/JSON outputs.
- Optional: preserve HTML formatting, proxy config.

Requires: youtube-transcript-api >= 1.2.0
  pip install -U youtube-transcript-api

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You want what actually works for learning hard things—methods with causal evidence, not folklore. Here’s the short list that consistently moves the needle, with RCTs/meta‑analyses behind it and notes on where each shines (and where it backfires).

---

What works (ranked by strength + transferability)

1. Retrieval practice (“testing effect”), ideally with feedback
   What it is: Actively recall (without notes), get the answer, then check/correct.
   Evidence: Big, durable gains across hundreds of experiments and classroom trials; practice tests outperform restudy and other controls. Effects are larger when feedback is provided and when retrieval is spaced. Meta‑analyses with college‑level materials included. Use for: all levels; concepts, proofs, derivations, formulas. SAGE Journals[education.wsu.edu](https://education.wsu.edu/documents/2018/01/rethi

sir-wabbit

from typing import Tuple

import mmap
import struct
import os
from pathlib import Path
import re

from collections import Counter, defaultdict

sir-wabbit

#include <iostream>
#include <cmath>
#include <vector>
#include <cassert>
#include <memory>

enum NodeOp {
  OP_CONST,
  OP_ADD,
  OP_MUL,

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;; stage     :: (name : String) -> (description : String) -> Stage

;; principle :: (name : String) -> (description : String) -> Principle
;; strategy  :: (name : String) -> (description : String) -> (parent_principles: List String) -> Strategy
;; tactic    :: (name : String) -> (description : String) -> (parent_strategies_and_principles: List String) -> Tactic

; The Principle-Strategy-Tactic axis represents a hierarchical framework for reasoning and problem-solving, moving from abstract, foundational beliefs to concrete, actionable steps.

; **Principles** are the most abstract level, representing foundational beliefs or philosophies that guide reasoning and decision-making across various contexts. They are timeless and universal, providing a conceptual framework from which strategies and tactics can be developed. Principles are not directly actionable but serve as the bedrock for strategic thinking and tactical execution.