pixobuilder-cpu

// SPDX-License-Identifier: MIT
pragma solidity 0.8.20; 

import "@openzeppelin/contracts-upgradeable@4.9.3/token/ERC1155/ERC1155Upgradeable.sol";
import "@openzeppelin/contracts-upgradeable@4.9.3/proxy/utils/Initializable.sol";
import "@openzeppelin/contracts-upgradeable@4.9.3/proxy/utils/UUPSUpgradeable.sol";
import "@openzeppelin/contracts-upgradeable@4.9.3/access/OwnableUpgradeable.sol";
import "@openzeppelin/contracts@4.9.3/utils/Base64.sol";
import "@openzeppelin/contracts@4.9.3/utils/Strings.sol";

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Maciejdziuba

The Software Factory Playbook — Dex Horthy's 4-gate workflow as a skill

A Claude Code Agent Skill built from Dex Horthy's (HumanLayer) playbook on David Ondrej's podcast.

"Once the model has written thousands of lines of code, it is harder to change. The sessions that generate design docs are context-light — you get the most model intelligence when you do the hard thinking early."

By default, agents build horizontally: all the backend, then all the frontend, then a 2,000-line diff lands in your lap and reviewing it is your problem. This skill flips that. Every decision that matters gets made before the code exists — where changing your mind costs a sentence, not a rewrite.

What it does

yangnim21029

Inner Game 是什麼 — 瑞恩給「內核」的標準定義

來源：瑞恩情感 TV，「Inner Game 是什麼東西 ｜ 內核標準定義 ｜ 如何提升內核 ｜ 內在自我覺醒」（10.4 min） 涵蓋：內核 = 信念 / 心態 / 自信；歷史源頭（Timothy Galway 網球運動心理學）；高 vs 低自尊男人在女人面前的具體差異；提升內核五個收穫 觀眾視角：兩性學習者想搞清楚「Inner Game」到底是不是玄學

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這份材料要做的事

pjburnhill

TypeSafe Jev — Project Knowledge Resource

Status: Working project reference
Knowledge date: 16 September 2026
Scope: TypeSafe AI, System One Models, and specifically the Jev model

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1. Purpose of this resource

learnmove

• Adblock Plus (Source code: github.com/chrome-exts/cfhdoj…) (~10,000,000 downloads)
• AdBlock (Source code: github.com/chrome-exts/gighmm…) (~10,000,000 downloads)
• Adobe Acrobat (Source code: github.com/chrome-exts/efaidn…) (~10,000,000 downloads)
• Avast Online Security (Source code: github.com/chrome-exts/gomekm…) (~10,000,000 downloads)
• Avast SafePrice (So

corporatepiyush

Rust 1.95 vs Go 1.26 vs Zig 0.16 — Complete Comparative Guide

As of June 2026

Each section compares how the three languages approach the same concern, side by side. Tags: ⚡ Perf · 🔐 Safety · 🧹 DX · 🔍 Debug · 📦 Binary · 🔒 SecOps

Notes on reading this document: performance figures are from specific benchmarks, not guarantees — they vary with workload, input size, and hardware. Library names are current as of June 2026; ecosystems move. Where a language lacks a capability, that is stated plainly rather than softened.

bitsandfriends

Matthias Barth

IT infrastructure architect — AI architectures · automation · project management · IT audit & DORA

k16shikano

name	cognitive-rhythm-writing
description	説明的な文章に緩急を設計するための規範。緩急を装飾ではなく認知モードの切替（観察→逡巡→断定→再観察）と未回収の緊張の管理として扱い、文の拍、段落の密度波形、節の入り方、緩みと駄文の判別、執筆後の機械的な点検手順を定める。読み物として読ませたい章・記事・解説文を生成するとき、または「密度はあるが平坦でおもしろくない」文章を診断・修正するときに使用する。

認知リズムを生むための日本語ライティング規範

密度の高い文章が退屈になるのは、情報が多いからではなく、全文が同じ認知モードで書かれているからである。 この規範は、読者の認知モード（観察する、迷う、確信する、確かめ直す）を意図的に切り替え、常に「続きを読む理由」を維持することで、読み進める推進力を作る。