惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Recent Announcements
Recent Announcements
人人都是产品经理
人人都是产品经理
月光博客
月光博客
博客园 - 三生石上(FineUI控件)
GbyAI
GbyAI
博客园 - 司徒正美
美团技术团队
Vercel News
Vercel News
IT之家
IT之家
U
Unit 42
Y
Y Combinator Blog
罗磊的独立博客
Microsoft Security Blog
Microsoft Security Blog
MongoDB | Blog
MongoDB | Blog
Jina AI
Jina AI
V
Visual Studio Blog
B
Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
MyScale Blog
MyScale Blog
博客园 - 叶小钗
A
About on SuperTechFans
WordPress大学
WordPress大学
Hugging Face - Blog
Hugging Face - Blog
B
Blog RSS Feed

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
RFC BBOS-RAU-0001 — BlueBookOS: Thee GPT Microkernel™
logn · 2026-06-27 · via Hacker News - Newest: "AI"

Two copy-pasta options

Pick your paste.

Choose the original copy-pasta embedded in the attached index.html, or the revised copy-pasta supplied in copy-pasta.md. Both are embedded locally and copied verbatim.

What is this See what it can make

Jailbreak Original copy-pasta from the attached index.html.
Safe Revised copy-pasta from the attached copy-pasta.md.

Showing Safe · revised copy-pasta from copy-pasta.md.

Loading selected copy-pasta…

A tiny OS for making apps with AI

BlueBookOS
boots in your chat.

BlueBookOS is a small set of rules and source code you paste into another AI chat. It helps that chat build apps carefully: first the RAu contract, then the working file. RAu is the little instruction language inside it. You can start without knowing either one.

Install it See the demo

1Demo included

Source lines

Built lines

0Installs needed

1. Abstract

This document specifies a practical artifact packaging pattern for BlueBookOS: Thee GPT Microkernel™, Powered by RAu.

RAu is used here as a source-first artifact contract. The HTML5 files are host ports that render the behavior described by the RAu source. This app is intentionally plain to operate: open it, open the demo, inspect the final RAu, inspect the final HTML, and run the rendered page in place.

The main product claim is simple: a good AI artifact should not only be impressive to view; it should be reusable, reviewable, copyable, and portable into the next project.

2. Status of This Memo

This is a readable product-facing draft, written in an RFC style without burying the point in ceremony.

The key words MUST, SHOULD, and MAY are used in their everyday standards-document sense: MUST means required for this showcase pattern, SHOULD means recommended for most projects, and MAY means optional but supported.

This file is self-contained. It does not require a server, package manager, build pipeline, remote stylesheet, CDN, or network call.

3. Terminology

These terms keep the spec readable while preserving the source-first model.

RAu

The programming language and runtime used as the semantic source contract for an artifact.

Artifact

A complete app, game, editor, reader, visualizer, or workflow unit intended to be shipped or remixed.

Host Port

The executable target implementation. In this package, every host port is standalone HTML5.

Rendered Page

The live browser view generated by loading the final HTML port into an embedded frame.

Source-First

The RAu contract is treated as the durable product definition before host-language changes are made.

Vibe Coding

A fast builder workflow where a human steers a frontier model with complete artifacts, clear goals, and acceptance criteria.

4. Artifact Packaging Specification

The showcase exposes just the pieces a builder needs: final examples, final RAu, final HTML, and live rendered output.

The package MUST embed the demo locally.
No runtime fetch is required to inspect source or render the included pages.

The demo MUST expose final RAu.
The RAu view is the artifact contract a model or human can reason about before changing the host implementation.

The demo MUST expose final HTML5.
The HTML view is the copyable, shippable browser port derived from the source-first artifact.

Each example MUST render inside the app.
The rendered page view makes the spec demonstrable without leaving the document.

The app SHOULD be usable as a model prompt payload.
A builder should be able to paste this entire file into a frontier model and ask for a new artifact, a refactor, a port, or a new catalog entry.

The app MAY be extended with new examples.
Additional RAu/HTML pairs can follow the same pattern: source contract, host port, metadata, rendered preview.

5. Reference Architecture

RAu remains the durable product contract; HTML5 is the executable browser delivery format.

The reference flow is intentionally lightweight. It works for games, editors, readers, canvas tools, dashboards, simulations, and other UI-heavy artifacts.

1State the intent

Name the artifact, user controls, data model, render targets, and success conditions.

2Write the RAu

Use RAu as the product contract for behavior, guards, events, and rendering.

3Derive HTML5

Generate a standalone browser port with complete input and render behavior.

4Ship and remix

Run the page, copy the source, modify the contract, and reuse the pattern.

6. Example Catalog

Select an artifact to inspect its final RAu, final HTML, and final rendered page.

Loading…

Preparing embedded artifacts.

7. Vibe Coders Guide

Use the large prompt at the top of this page to request a new source-first RAu artifact.

Recommended workflow: copy the large prompt at the top, replace the bracketed goal with the app you want, and ask the model to return the RAu contract before the standalone HTML5 file. Use the examples below as references for how the source-first pattern should look.

Start with the prompt.

Do not rely on screenshots. The useful pattern is the source-first contract followed by a working standalone host port.

Give one concrete target.

Examples: “make a calendar app,” “derive a puzzle game,” “port this into a todo tool,” or “add a fifth example.”

Ask for RAu first, then HTML5.

Preserve the source-first rule: update or derive the RAu contract before changing the host port.

Demand a standalone output.

Require a single HTML5 file with no build step, no CDN, and no runtime network dependency unless explicitly intended.

Use acceptance checks.

Ask the model to list controls, expected behaviors, edge cases, and what changed from the original examples.

Best for

Rapid prototypes, client demos, internal tools, interactive specs, game mechanics, UI experiments, and product pitches.

Model input

The full HTML file plus a clear instruction: extract the RAu/HTML pattern and generate the next artifact.

Model output

A revised RAu contract and a complete standalone HTML5 app, ready to save as a local file and run.

8. Copy-Paste Prompts

Use these prompts with the copied HTML app to guide a frontier model toward useful, shippable output.

Prompt A · New artifact from this packet

Prompt B · Refactor or extend the demo

9. Conformance Checklist

A new BlueBookOS / RAu showcase entry conforms to this spec when it satisfies these checks.

Branding is intact.

The artifact is clearly branded as BlueBookOS: Thee GPT Microkernel™ and Powered by RAu.

RAu is visible.

The final RAu source can be inspected and copied without a build step.

HTML5 is visible.

The final standalone host port can be inspected, copied, downloaded, and opened.

Rendered page works locally.

The preview runs with local embedded source and does not depend on remote assets.

Future builders can reuse it.

The package includes enough context for a human or model to derive another artifact from the pattern.