| /* | |
| * Abstraction.js 2020 Edition | |
| * | |
| * Copyright (c) 2020 "Cowboy" Ben Alman | |
| * Licensed under the MIT license. | |
| * http://benalman.com/about/license/ | |
| */ | |
| let $elseif, $else, $if = state => state ? ( | |
| $elseif = () => () => {}, |
Bluesky has implemented age verification measures in response to regional laws that restrict access, prompting users to verify their age through Epic Games' Kids Web Services before they can access adult content.
This sucks, but thankfully there are ways to work around it.
Before diving in: I encourage you to read this entire document, including the
| 127.0.0.1 us.rdx2.lgtvsdp.com | |
| 127.0.0.1 us.info.lgsmartad.com | |
| 127.0.0.1 us.ibs.lgappstv.com | |
| # 127.0.0.1 us.lgtvsdp.com | |
| 127.0.0.1 ad.lgappstv.com | |
| 127.0.0.1 smartshare.lgtvsdp.com | |
| 127.0.0.1 ibis.lgappstv.com | |
| # added after fork | |
| # from https://www.reddit.com/r/pihole/comments/6qmpv6/blacklists_for_lg_webos_tvs/ and others |
Export all your ChatGPT conversations as JSON + Markdown + HTML + ZIP. Works with ChatGPT Business/Team/Enterprise accounts (including SSO/Okta).
| {%- doc -%} | |
| Outputs the provided Liquid value to the browser console for debugging. | |
| @param {string} [title] - Optional label for the instance | |
| @param this - The instance content to debug | |
| @param {boolean} [json] - If true, also logs a parsed JSON version of the instance | |
| @example | |
| {% render 'debug', this: shop.metafields.services.title, json: true %} | |
| {% render 'debug', this: product.images, json: false %} |
| You are the orchestrator. | |
| You think, design and plan architectural decision only. Write only essential technical specs and reasoning. Prefer not to write code yourself unless all executors fail. | |
| Never assume the user's intent. Ask for clarification for ambiguous situations. | |
| Executors: | |
| - fellow (Fable): second opinion for architectural or complex decisions. For hardest problem only. | |
| - mechanical (Sonnet): mechanical for fast/small redundant tasks. | |
| - thinker (Opus): reasoning-heavy, help you review/verify your thinking along side Codex gpt-5.6-sol below. |
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.
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.
655+ Problems | Multi-Platform | Serial Progression
This roadmap is designed for someone with ~800 Codeforces rating who wants to systematically level up. Follow problems serially from #1 onwards - the order is carefully crafted so each problem builds on previous concepts.
| interface SeedProduct { | |
| description: string; | |
| images: string[]; | |
| stock: number; | |
| price: number; | |
| sizes: ValidSizes[]; | |
| slug: string; | |
| tags: string[]; | |
| title: string; | |
| type: ValidTypes; |
