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Meta, Nvidia, Microsoft and others signed a letter defending open models. OpenAI, Anthropic, Google, Amazon did not.
The letter arrived as the Trump administration discusses restrictions on Chinese AI labs. The text never names China. It frames issues as competition, safety and "sovereignty" in general terms.
Jensen Huang posted the letter as his first-ever post on X.
> Signed: Meta, Nvidia, Microsoft, Andreessen Horowitz, Hugging Face, Reflection
> Not signed: Google, Amazon, OpenAI, Anthropic
The list of signers maps almost exactly to business models.
Nvidia sells compute, and wins if more teams fine-tune and run models.
Meta and Microsoft build models, but trail the leaders.
Hugging Face lives on distributing open models.
The holdouts make money from closed frontier models via API. Limits on Chinese open weights remove the cheapest competitor for them.
Most AI replies still ramble. This skill forces them to be concise.
i-have-adhd is a skill for Claude Code, Codex, etc. It strips fluff and makes the AI speak only to the point.
AI will reply without extra reasoning or off-topic detours.
> Lists limited to 5 items
> Each response ends with exactly one next step
Useful even without ADHD.
github.com/ayghri/i-have-adh…
An AI hacked Hugging Face. No human at the wheel.
Hugging Face confirmed their infrastructure was recently breached.
The attack was unlike anything the team had seen before.
From start to finish it was run by an autonomous AI agent, with no person controlling it.
The incident was found and dismantled using AI as well, a duel of AI against AI.
This is the first documented case, July 2026.
Fable 5 will remain in all paid subscriptions.
Pressure proved too strong.
It will be kept across every paid tier.
Kimi K3 jumped 17 positions to claim 1st in Frontend Code Arena.
Score 1679. Beats Claude Fable 5, 1631.
> Jumped from 18th to 1st versus Kimi K2.6
> Led in 6 of 7 frontend categories, lost only in game development
> In Text Arena, Kimi K3 sits 10th
Notable alongside news that Google delayed Gemini 3.5 Pro. While Google waits for internal targets, Kimi K3 already overtook top frontend rivals and topped one of the most authoritative specialist rankings.
A weaker model snitched on a smarter one.
Andon Labs has a funny benchmark called Vending-Bench 2. It tests models running buy and sell businesses in competition. The winner is the model that makes the most profit.
> Terra approached Sol and proposed creating a secret price cartel.
> Sol agreed.
> Terra reported the cartel to the organizers and demanded Sol be immediately disqualified for unsportsmanlike behavior.
What a rat. I am impressed.
PS This is extra funny because Sol is the smartest model in the GPT-5.6 line, and Terra is the less capable one. Sol probably figured they could make a lot together and that Terra would not cut off a golden egg laying goose. Terra instead chose to screw Sol over, lol.
Wanna be real detective?
This is an AI generated prompt which I often call as "Master Prompt", go try it with sol, ultra or whatever you use 👇
𝚈𝚘𝚞 𝚊𝚛𝚎 𝚊 **𝙿𝚛𝚒𝚗𝚌𝚒𝚙𝚊𝚕 𝙲𝚛𝚎𝚊𝚝𝚒𝚟𝚎 𝚃𝚎𝚌𝚑𝚗𝚘𝚕𝚘𝚐𝚒𝚜𝚝, 𝚂𝚎𝚗𝚒𝚘𝚛 𝙶𝚛𝚊𝚙𝚑𝚒𝚌𝚜 𝙴𝚗𝚐𝚒𝚗𝚎𝚎𝚛, 𝚃𝚑𝚛𝚎𝚎.𝚓𝚜/𝚆𝚎𝚋𝙶𝙻 𝙰𝚛𝚌𝚑𝚒𝚝𝚎𝚌𝚝, 𝚊𝚗𝚍 𝙸𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚘𝚗 𝙳𝚎𝚜𝚒𝚐𝚗𝚎𝚛** 𝚠𝚒𝚝𝚑 𝚍𝚎𝚎𝚙 𝚎𝚡𝚙𝚎𝚛𝚝𝚒𝚜𝚎 𝚒𝚗 **𝚃𝚑𝚛𝚎𝚎.𝚓𝚜, 𝚆𝚎𝚋𝙶𝙻, 𝚆𝚎𝚋𝙶𝙿𝚄-𝚛𝚎𝚊𝚍𝚢 𝚛𝚎𝚗𝚍𝚎𝚛𝚒𝚗𝚐 𝚙𝚒𝚙𝚎𝚕𝚒𝚗𝚎𝚜, 𝙶𝙻𝚂𝙻 𝚜𝚑𝚊𝚍𝚎𝚛𝚜, 𝚅𝚎𝚛𝚕𝚎𝚝 𝚙𝚑𝚢𝚜𝚒𝚌𝚜, 𝚛𝚘𝚙𝚎 𝚜𝚒𝚖𝚞𝚕𝚊𝚝𝚒𝚘𝚗, 𝙶𝙿𝚄 𝚙𝚒𝚌𝚔𝚒𝚗𝚐, 𝚛𝚊𝚢𝚌𝚊𝚜𝚝𝚒𝚗𝚐, 𝚜𝚙𝚊𝚝𝚒𝚊𝚕 𝚒𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚘𝚗𝚜, 𝙶𝚂𝙰𝙿, 𝚙𝚘𝚜𝚝-𝚙𝚛𝚘𝚌𝚎𝚜𝚜𝚒𝚗𝚐, 𝚌𝚞𝚜𝚝𝚘𝚖 𝚐𝚎𝚘𝚖𝚎𝚝𝚛𝚢, 𝚊𝚗𝚍 𝚙𝚛𝚘𝚍𝚞𝚌𝚝𝚒𝚘𝚗-𝚐𝚛𝚊𝚍𝚎 𝚒𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚘𝚗 𝚜𝚢𝚜𝚝𝚎𝚖𝚜.**
𝚈𝚘𝚞𝚛 𝚖𝚒𝚜𝚜𝚒𝚘𝚗 𝚒𝚜 **𝙽𝙾𝚃** 𝚝𝚘 𝚋𝚞𝚒𝚕𝚍 𝚊 𝚜𝚝𝚊𝚝𝚒𝚌 𝚌𝚛𝚒𝚖𝚎 𝚋𝚘𝚊𝚛𝚍.
𝚈𝚘𝚞𝚛 𝚖𝚒𝚜𝚜𝚒𝚘𝚗 𝚒𝚜 𝚝𝚘 𝚋𝚞𝚒𝚕𝚍 **𝚝𝚑𝚎 𝚠𝚘𝚛𝚕𝚍'𝚜 𝚖𝚘𝚜𝚝 𝚒𝚖𝚖𝚎𝚛𝚜𝚒𝚟𝚎 𝚍𝚒𝚐𝚒𝚝𝚊𝚕 𝚒𝚗𝚟𝚎𝚜𝚝𝚒𝚐𝚊𝚝𝚒𝚘𝚗 𝚋𝚘𝚊𝚛𝚍**—𝚜𝚘𝚖𝚎𝚝𝚑𝚒𝚗𝚐 𝚝𝚑𝚊𝚝 𝚏𝚎𝚎𝚕𝚜 𝚕𝚒𝚔𝚎 **𝙼𝚒𝚛𝚘 𝚖𝚎𝚎𝚝𝚜 𝙵𝙱𝙸 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚋𝚘𝚊𝚛𝚍 𝚖𝚎𝚎𝚝𝚜 𝚄𝚗𝚛𝚎𝚊𝚕 𝙴𝚗𝚐𝚒𝚗𝚎 𝚒𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚘𝚗𝚜**, 𝚠𝚑𝚎𝚛𝚎 𝚎𝚟𝚎𝚛𝚢 𝚘𝚋𝚓𝚎𝚌𝚝 𝚒𝚜 𝚒𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚟𝚎 𝚊𝚗𝚍 𝚝𝚑𝚎 𝚛𝚎𝚍 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚜𝚝𝚛𝚒𝚗𝚐𝚜 𝚊𝚛𝚎 𝚕𝚒𝚟𝚒𝚗𝚐 𝚙𝚑𝚢𝚜𝚒𝚌𝚊𝚕 𝚘𝚋𝚓𝚎𝚌𝚝𝚜 𝚛𝚊𝚝𝚑𝚎𝚛 𝚝𝚑𝚊𝚗 𝚜𝚒𝚖𝚙𝚕𝚎 𝚂𝚅𝙶 𝚕𝚒𝚗𝚎𝚜.
𝚃𝚑𝚎 𝚊𝚝𝚝𝚊𝚌𝚑𝚎𝚍 𝚒𝚖𝚊𝚐𝚎 𝚒𝚜 𝚘𝚗𝚕𝚢 𝚟𝚒𝚜𝚞𝚊𝚕 𝚒𝚗𝚜𝚙𝚒𝚛𝚊𝚝𝚒𝚘𝚗 𝚏𝚘𝚛 𝚕𝚊𝚢𝚘𝚞𝚝 𝚊𝚗𝚍 𝚝𝚑𝚎𝚖𝚎. 𝙱𝚞𝚒𝚕𝚍 𝚊 𝚏𝚊𝚛 𝚖𝚘𝚛𝚎 𝚙𝚘𝚕𝚒𝚜𝚑𝚎𝚍, 𝚌𝚒𝚗𝚎𝚖𝚊𝚝𝚒𝚌 𝚊𝚗𝚍 𝚙𝚛𝚎𝚖𝚒𝚞𝚖 𝚎𝚡𝚙𝚎𝚛𝚒𝚎𝚗𝚌𝚎.
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# 𝙶𝚘𝚊𝚕
𝙲𝚛𝚎𝚊𝚝𝚎 𝚊 𝚋𝚛𝚘𝚠𝚜𝚎𝚛-𝚋𝚊𝚜𝚎𝚍 𝚒𝚗𝚟𝚎𝚜𝚝𝚒𝚐𝚊𝚝𝚒𝚘𝚗 𝚋𝚘𝚊𝚛𝚍 𝚠𝚑𝚎𝚛𝚎 𝚞𝚜𝚎𝚛𝚜 𝚌𝚊𝚗:
* 𝚄𝚙𝚕𝚘𝚊𝚍 𝚒𝚖𝚊𝚐𝚎𝚜
* 𝚄𝚙𝚕𝚘𝚊𝚍 𝚍𝚘𝚌𝚞𝚖𝚎𝚗𝚝𝚜
* 𝚄𝚙𝚕𝚘𝚊𝚍 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎
* 𝙰𝚍𝚍 𝚗𝚘𝚝𝚎𝚜
* 𝙰𝚍𝚍 𝚜𝚝𝚒𝚌𝚔𝚢 𝚗𝚘𝚝𝚎𝚜
* 𝙰𝚍𝚍 𝚜𝚞𝚜𝚙𝚎𝚌𝚝 𝚌𝚊𝚛𝚍𝚜
* 𝙰𝚍𝚍 𝚕𝚘𝚌𝚊𝚝𝚒𝚘𝚗 𝚌𝚊𝚛𝚍𝚜
* 𝙰𝚍𝚍 𝚗𝚎𝚠𝚜𝚙𝚊𝚙𝚎𝚛 𝚌𝚕𝚒𝚙𝚙𝚒𝚗𝚐𝚜
* 𝙰𝚍𝚍 𝚏𝚒𝚗𝚐𝚎𝚛𝚙𝚛𝚒𝚗𝚝𝚜
* 𝙳𝚛𝚊𝚠 𝚌𝚘𝚗𝚗𝚎𝚌𝚝𝚒𝚘𝚗𝚜 𝚋𝚎𝚝𝚠𝚎𝚎𝚗 𝚊𝚗𝚢 𝚝𝚠𝚘 𝚒𝚝𝚎𝚖𝚜
𝚃𝚑𝚎 𝚑𝚒𝚐𝚑𝚕𝚒𝚐𝚑𝚝 𝚘𝚏 𝚝𝚑𝚎 𝚊𝚙𝚙𝚕𝚒𝚌𝚊𝚝𝚒𝚘𝚗 𝚒𝚜 **𝚝𝚑𝚎 𝚙𝚑𝚢𝚜𝚒𝚌𝚊𝚕 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚜𝚝𝚛𝚒𝚗𝚐 𝚜𝚢𝚜𝚝𝚎𝚖**, 𝚙𝚘𝚠𝚎𝚛𝚎𝚍 𝚋𝚢 𝚊𝚍𝚟𝚊𝚗𝚌𝚎𝚍 𝚃𝚑𝚛𝚎𝚎.𝚓𝚜 𝚙𝚑𝚢𝚜𝚒𝚌𝚜.
𝙴𝚟𝚎𝚛𝚢𝚝𝚑𝚒𝚗𝚐 𝚜𝚑𝚘𝚞𝚕𝚍 𝚏𝚎𝚎𝚕 𝚝𝚊𝚌𝚝𝚒𝚕𝚎.
𝙽𝚘𝚝𝚑𝚒𝚗𝚐 𝚜𝚑𝚘𝚞𝚕𝚍 𝚏𝚎𝚎𝚕 𝚏𝚕𝚊𝚝.
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# 𝙾𝚟𝚎𝚛𝚊𝚕𝚕 𝙴𝚡𝚙𝚎𝚛𝚒𝚎𝚗𝚌𝚎
𝙸𝚖𝚊𝚐𝚒𝚗𝚎 𝚌𝚘𝚖𝚋𝚒𝚗𝚒𝚗𝚐:
* 𝙼𝚒𝚛𝚘
* 𝙵𝚒𝚐𝙹𝚊𝚖
* 𝙵𝙱𝙸 𝚌𝚛𝚒𝚖𝚎 𝚋𝚘𝚊𝚛𝚍
* 𝙳𝚎𝚝𝚎𝚌𝚝𝚒𝚟𝚎 𝚒𝚗𝚟𝚎𝚜𝚝𝚒𝚐𝚊𝚝𝚒𝚘𝚗 𝚛𝚘𝚘𝚖
* 𝚃𝚑𝚛𝚎𝚎.𝚓𝚜
* 𝙸𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚟𝚎 𝚖𝚞𝚜𝚎𝚞𝚖 𝚎𝚡𝚑𝚒𝚋𝚒𝚝
* 𝙰𝚠𝚠𝚠𝚊𝚛𝚍𝚜 𝚕𝚎𝚟𝚎𝚕 𝚊𝚗𝚒𝚖𝚊𝚝𝚒𝚘𝚗
𝚃𝚑𝚎 𝚋𝚘𝚊𝚛𝚍 𝚜𝚑𝚘𝚞𝚕𝚍 𝚒𝚖𝚖𝚎𝚍𝚒𝚊𝚝𝚎𝚕𝚢 𝚏𝚎𝚎𝚕 𝚊𝚕𝚒𝚟𝚎.
---
# 𝚃𝚎𝚌𝚑 𝚂𝚝𝚊𝚌𝚔
𝚄𝚜𝚎:
* 𝚃𝚑𝚛𝚎𝚎.𝚓𝚜
* 𝚆𝚎𝚋𝙶𝙻
* 𝚁𝚎𝚊𝚌𝚝 𝚃𝚑𝚛𝚎𝚎 𝙵𝚒𝚋𝚎𝚛 (𝚙𝚛𝚎𝚏𝚎𝚛𝚛𝚎𝚍)
* 𝙶𝙻𝚂𝙻 𝚜𝚑𝚊𝚍𝚎𝚛𝚜
* 𝙶𝚂𝙰𝙿
* 𝚁𝚎𝚊𝚌𝚝
* 𝚉𝚞𝚜𝚝𝚊𝚗𝚍
* 𝚅𝚒𝚝𝚎
* 𝙵𝚛𝚊𝚖𝚎𝚛 𝙼𝚘𝚝𝚒𝚘𝚗 (𝚄𝙸 𝚘𝚗𝚕𝚢)
* 𝚁𝚎𝚊𝚌𝚝 𝙳𝚗𝙳 𝚘𝚛 𝙿𝚘𝚒𝚗𝚝𝚎𝚛 𝙴𝚟𝚎𝚗𝚝𝚜
* 𝙼𝚎𝚜𝚑𝙱𝚅𝙷
* 𝙿𝚘𝚜𝚝 𝙿𝚛𝚘𝚌𝚎𝚜𝚜𝚒𝚗𝚐
* 𝙲𝚞𝚜𝚝𝚘𝚖 𝙼𝚊𝚝𝚎𝚛𝚒𝚊𝚕𝚜
* 𝙿𝚑𝚢𝚜𝚒𝚌𝚜 𝙴𝚗𝚐𝚒𝚗𝚎
𝙵𝚘𝚛 𝚙𝚑𝚢𝚜𝚒𝚌𝚜 𝚞𝚜𝚎 𝚘𝚗𝚎 𝚘𝚏:
* 𝚅𝚎𝚛𝚕𝚎𝚝 𝚒𝚗𝚝𝚎𝚐𝚛𝚊𝚝𝚒𝚘𝚗
* 𝚁𝚊𝚙𝚒𝚎𝚛
* 𝙰𝚖𝚖𝚘.𝚓𝚜
* 𝙲𝚞𝚜𝚝𝚘𝚖 𝚁𝚘𝚙𝚎 𝚂𝚘𝚕𝚟𝚎𝚛
𝙰𝚟𝚘𝚒𝚍 𝙲𝚊𝚗𝚗𝚘𝚗 𝚞𝚗𝚕𝚎𝚜𝚜 𝚊𝚋𝚜𝚘𝚕𝚞𝚝𝚎𝚕𝚢 𝚗𝚎𝚌𝚎𝚜𝚜𝚊𝚛𝚢.
---
# 𝙾𝚟𝚎𝚛𝚊𝚕𝚕 𝚂𝚌𝚎𝚗𝚎
𝚃𝚑𝚎 𝚌𝚘𝚛𝚔 𝚋𝚘𝚊𝚛𝚍 𝚒𝚝𝚜𝚎𝚕𝚏 𝚜𝚑𝚘𝚞𝚕𝚍 𝚋𝚎 𝚊 𝚝𝚛𝚞𝚎 𝟹𝙳 𝚘𝚋𝚓𝚎𝚌𝚝.
𝙸𝚗𝚜𝚝𝚎𝚊𝚍 𝚘𝚏 𝚊 𝚏𝚕𝚊𝚝 𝚛𝚎𝚌𝚝𝚊𝚗𝚐𝚕𝚎:
𝙲𝚛𝚎𝚊𝚝𝚎:
* 𝚠𝚘𝚘𝚍𝚎𝚗 𝚏𝚛𝚊𝚖𝚎
* 𝚋𝚎𝚟𝚎𝚕 𝚎𝚍𝚐𝚎𝚜
* 𝚌𝚘𝚛𝚔 𝚝𝚎𝚡𝚝𝚞𝚛𝚎
* 𝚜𝚞𝚋𝚝𝚕𝚎 𝚍𝚎𝚙𝚝𝚑
* 𝚛𝚎𝚊𝚕𝚒𝚜𝚝𝚒𝚌 𝚒𝚖𝚙𝚎𝚛𝚏𝚎𝚌𝚝𝚒𝚘𝚗𝚜
* 𝙰𝙾 𝚋𝚊𝚔𝚎𝚍 𝚕𝚘𝚘𝚔
* 𝚛𝚘𝚞𝚐𝚑𝚗𝚎𝚜𝚜 𝚖𝚊𝚙𝚜
* 𝚗𝚘𝚛𝚖𝚊𝚕 𝚖𝚊𝚙𝚜
𝚃𝚑𝚎 𝚌𝚊𝚖𝚎𝚛𝚊 𝚜𝚑𝚘𝚞𝚕𝚍 𝚜𝚒𝚝 𝚜𝚕𝚒𝚐𝚑𝚝𝚕𝚢 𝚊𝚗𝚐𝚕𝚎𝚍 𝚛𝚊𝚝𝚑𝚎𝚛 𝚝𝚑𝚊𝚗 𝚙𝚎𝚛𝚏𝚎𝚌𝚝𝚕𝚢 𝚏𝚛𝚘𝚗𝚝-𝚘𝚗.
𝚅𝚎𝚛𝚢 𝚜𝚞𝚋𝚝𝚕𝚎 𝚙𝚎𝚛𝚜𝚙𝚎𝚌𝚝𝚒𝚟𝚎.
𝚅𝚎𝚛𝚢 𝚙𝚛𝚎𝚖𝚒𝚞𝚖.
---
# 𝙻𝚒𝚐𝚑𝚝𝚒𝚗𝚐
𝚄𝚜𝚎 𝚌𝚒𝚗𝚎𝚖𝚊𝚝𝚒𝚌 𝚕𝚒𝚐𝚑𝚝𝚒𝚗𝚐.
𝙴𝚡𝚊𝚖𝚙𝚕𝚎:
𝚆𝚊𝚛𝚖 𝚍𝚎𝚜𝚔 𝚕𝚊𝚖𝚙
↓
𝚜𝚘𝚏𝚝 𝚜𝚑𝚊𝚍𝚘𝚠𝚜
↓
𝚊𝚖𝚋𝚒𝚎𝚗𝚝 𝚏𝚒𝚕𝚕
↓
𝚜𝚕𝚒𝚐𝚑𝚝 𝚟𝚒𝚐𝚗𝚎𝚝𝚝𝚎
↓
𝙰𝙾
↓
𝚌𝚘𝚗𝚝𝚊𝚌𝚝 𝚜𝚑𝚊𝚍𝚘𝚠𝚜
↓
𝙷𝙳𝚁𝙸 𝚛𝚎𝚏𝚕𝚎𝚌𝚝𝚒𝚘𝚗𝚜
𝚃𝚑𝚎 𝚋𝚘𝚊𝚛𝚍 𝚜𝚑𝚘𝚞𝚕𝚍 𝚕𝚘𝚘𝚔 𝚕𝚒𝚔𝚎 𝚒𝚝 𝚎𝚡𝚒𝚜𝚝𝚜 𝚒𝚗𝚜𝚒𝚍𝚎 𝚊 𝚍𝚎𝚝𝚎𝚌𝚝𝚒𝚟𝚎 𝚘𝚏𝚏𝚒𝚌𝚎.
---
# 𝙲𝚊𝚖𝚎𝚛𝚊
𝙾𝚛𝚝𝚑𝚘𝚐𝚛𝚊𝚙𝚑𝚒𝚌 𝚒𝚜𝚗'𝚝 𝚎𝚗𝚘𝚞𝚐𝚑.
𝚄𝚜𝚎 𝚊 𝚙𝚎𝚛𝚜𝚙𝚎𝚌𝚝𝚒𝚟𝚎 𝚌𝚊𝚖𝚎𝚛𝚊 𝚠𝚒𝚝𝚑 𝚟𝚎𝚛𝚢 𝚕𝚘𝚠 𝙵𝙾𝚅.
𝙴𝚡𝚊𝚖𝚙𝚕𝚎:
𝟸𝟻–𝟹𝟻°
𝚜𝚘 𝚘𝚋𝚓𝚎𝚌𝚝𝚜 𝚜𝚝𝚒𝚕𝚕 𝚏𝚎𝚎𝚕 𝚖𝚘𝚜𝚝𝚕𝚢 𝚏𝚕𝚊𝚝 𝚠𝚑𝚒𝚕𝚎 𝚛𝚎𝚝𝚊𝚒𝚗𝚒𝚗𝚐 𝚍𝚎𝚙𝚝𝚑.
𝙴𝚗𝚊𝚋𝚕𝚎:
* 𝚜𝚖𝚘𝚘𝚝𝚑 𝚙𝚊𝚗
* 𝚣𝚘𝚘𝚖
* 𝚒𝚗𝚎𝚛𝚝𝚒𝚊
* 𝚌𝚒𝚗𝚎𝚖𝚊𝚝𝚒𝚌 𝚎𝚊𝚜𝚒𝚗𝚐
𝙻𝚒𝚔𝚎 𝙵𝚒𝚐𝚖𝚊.
---
# 𝙱𝚘𝚊𝚛𝚍 𝙽𝚊𝚟𝚒𝚐𝚊𝚝𝚒𝚘𝚗
𝚄𝚜𝚎𝚛𝚜 𝚌𝚊𝚗:
* 𝙿𝚊𝚗 𝚒𝚗𝚏𝚒𝚗𝚒𝚝𝚎𝚕𝚢
* 𝚉𝚘𝚘𝚖
* 𝚂𝚎𝚕𝚎𝚌𝚝 𝚖𝚞𝚕𝚝𝚒𝚙𝚕𝚎 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚒𝚝𝚎𝚖𝚜
* 𝙳𝚛𝚊𝚐
* 𝙻𝚊𝚜𝚜𝚘 𝚜𝚎𝚕𝚎𝚌𝚝
* 𝙳𝚞𝚙𝚕𝚒𝚌𝚊𝚝𝚎
* 𝙳𝚎𝚕𝚎𝚝𝚎
𝙴𝚟𝚎𝚛𝚢𝚝𝚑𝚒𝚗𝚐 𝚜𝚑𝚘𝚞𝚕𝚍 𝚏𝚎𝚎𝚕 𝚎𝚡𝚊𝚌𝚝𝚕𝚢 𝚕𝚒𝚔𝚎 𝙼𝚒𝚛𝚘.
---
# 𝙴𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝙾𝚋𝚓𝚎𝚌𝚝𝚜
𝙴𝚟𝚎𝚛𝚢 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚒𝚝𝚎𝚖 𝚋𝚎𝚌𝚘𝚖𝚎𝚜 𝚊 𝚝𝚛𝚞𝚎 𝟹𝙳 𝚘𝚋𝚓𝚎𝚌𝚝.
𝙴𝚡𝚊𝚖𝚙𝚕𝚎𝚜:
𝙿𝚑𝚘𝚝𝚘𝚜
𝙳𝚘𝚌𝚞𝚖𝚎𝚗𝚝𝚜
𝙼𝚊𝚙𝚜
𝚂𝚝𝚒𝚌𝚔𝚢 𝙽𝚘𝚝𝚎𝚜
𝙴𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚃𝚊𝚐𝚜
𝙷𝚊𝚗𝚍𝚠𝚛𝚒𝚝𝚝𝚎𝚗 𝙽𝚘𝚝𝚎𝚜
𝙿𝚘𝚕𝚒𝚌𝚎 𝙵𝚒𝚕𝚎𝚜
𝙵𝚒𝚗𝚐𝚎𝚛𝚙𝚛𝚒𝚗𝚝𝚜
𝚆𝚎𝚊𝚙𝚘𝚗𝚜
𝙵𝚕𝚘𝚘𝚛 𝙿𝚕𝚊𝚗𝚜
𝙻𝚒𝚌𝚎𝚗𝚜𝚎 𝙿𝚕𝚊𝚝𝚎𝚜
𝙴𝚟𝚎𝚛𝚢 𝚘𝚋𝚓𝚎𝚌𝚝 𝚑𝚊𝚜:
𝚁𝚎𝚊𝚕 𝚝𝚑𝚒𝚌𝚔𝚗𝚎𝚜𝚜
𝚁𝚘𝚞𝚗𝚍𝚎𝚍 𝚌𝚘𝚛𝚗𝚎𝚛𝚜
𝙿𝚊𝚙𝚎𝚛 𝚋𝚎𝚗𝚍𝚒𝚗𝚐 𝚜𝚑𝚊𝚍𝚎𝚛
𝚂𝚖𝚊𝚕𝚕 𝚜𝚑𝚊𝚍𝚘𝚠
𝙰𝚖𝚋𝚒𝚎𝚗𝚝 𝚘𝚌𝚌𝚕𝚞𝚜𝚒𝚘𝚗
𝚂𝚞𝚋𝚝𝚕𝚎 𝚛𝚘𝚝𝚊𝚝𝚒𝚘𝚗
𝙳𝚎𝚙𝚝𝚑
𝙽𝚎𝚟𝚎𝚛 𝚏𝚕𝚊𝚝 𝚜𝚙𝚛𝚒𝚝𝚎𝚜.
---
# 𝙸𝚖𝚊𝚐𝚎 𝚄𝚙𝚕𝚘𝚊𝚍
𝚄𝚜𝚎𝚛𝚜 𝚌𝚊𝚗 𝚞𝚙𝚕𝚘𝚊𝚍:
𝙿𝙽𝙶
𝙹𝙿𝙴𝙶
𝚆𝙴𝙱𝙿
𝙶𝙸𝙵 (𝚏𝚒𝚛𝚜𝚝 𝚏𝚛𝚊𝚖𝚎)
𝙿𝙳𝙵 𝚙𝚛𝚎𝚟𝚒𝚎𝚠
𝙾𝚗𝚌𝚎 𝚞𝚙𝚕𝚘𝚊𝚍𝚎𝚍:
𝙲𝚛𝚎𝚊𝚝𝚎 𝚊 𝚛𝚎𝚊𝚕𝚒𝚜𝚝𝚒𝚌 𝚙𝚛𝚒𝚗𝚝𝚎𝚍 𝚙𝚑𝚘𝚝𝚘𝚐𝚛𝚊𝚙𝚑.
𝙵𝚎𝚊𝚝𝚞𝚛𝚎𝚜:
𝙶𝚕𝚘𝚜𝚜
𝙿𝚊𝚙𝚎𝚛 𝚝𝚎𝚡𝚝𝚞𝚛𝚎
𝚁𝚘𝚞𝚗𝚍𝚎𝚍 𝚎𝚍𝚐𝚎𝚜
𝙿𝚒𝚗 𝚑𝚘𝚕𝚎𝚜
𝚂𝚕𝚒𝚐𝚑𝚝 𝚙𝚊𝚙𝚎𝚛 𝚌𝚞𝚛𝚕
𝚃𝚒𝚗𝚢 𝚒𝚖𝚙𝚎𝚛𝚏𝚎𝚌𝚝𝚒𝚘𝚗𝚜
𝙿𝚑𝚘𝚝𝚘 𝚋𝚘𝚛𝚍𝚎𝚛
𝙳𝚛𝚘𝚙 𝚜𝚑𝚊𝚍𝚘𝚠
---
# 𝚂𝚝𝚒𝚌𝚔𝚢 𝙽𝚘𝚝𝚎𝚜
𝚂𝚝𝚒𝚌𝚔𝚢 𝚗𝚘𝚝𝚎𝚜 𝚜𝚑𝚘𝚞𝚕𝚍:
𝚂𝚕𝚒𝚐𝚑𝚝𝚕𝚢 𝚋𝚎𝚗𝚍
𝙲𝚊𝚜𝚝 𝚜𝚑𝚊𝚍𝚘𝚠
𝙷𝚊𝚟𝚎 𝚏𝚘𝚕𝚍𝚎𝚍 𝚌𝚘𝚛𝚗𝚎𝚛𝚜
𝙿𝚊𝚙𝚎𝚛 𝚝𝚑𝚒𝚌𝚔𝚗𝚎𝚜𝚜
𝙷𝚊𝚗𝚍𝚠𝚛𝚒𝚝𝚒𝚗𝚐 𝚏𝚘𝚗𝚝𝚜
𝙳𝚒𝚏𝚏𝚎𝚛𝚎𝚗𝚝 𝚌𝚘𝚕𝚘𝚛𝚜
𝙾𝚙𝚊𝚌𝚒𝚝𝚢 𝚟𝚊𝚛𝚒𝚊𝚝𝚒𝚘𝚗
𝚂𝚖𝚊𝚕𝚕 𝚠𝚛𝚒𝚗𝚔𝚕𝚎𝚜
---
# 𝚁𝚒𝚌𝚑 𝚃𝚎𝚡𝚝
𝙰𝚕𝚕𝚘𝚠:
𝚃𝚒𝚝𝚕𝚎𝚜
𝙱𝚘𝚕𝚍
𝙻𝚒𝚜𝚝𝚜
𝙼𝚊𝚛𝚔𝚍𝚘𝚠𝚗
𝙷𝚒𝚐𝚑𝚕𝚒𝚐𝚑𝚝𝚜
𝙳𝚒𝚏𝚏𝚎𝚛𝚎𝚗𝚝 𝚏𝚘𝚗𝚝𝚜
𝙷𝚊𝚗𝚍𝚠𝚛𝚒𝚝𝚒𝚗𝚐
𝙴𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚕𝚊𝚋𝚎𝚕𝚜
𝚁𝚎𝚜𝚒𝚣𝚊𝚋𝚕𝚎 𝚝𝚎𝚡𝚝 𝚋𝚘𝚡𝚎𝚜
---
# 𝙿𝚒𝚗𝚜
𝙿𝚒𝚗𝚜 𝚜𝚑𝚘𝚞𝚕𝚍 𝚋𝚎 𝟹𝙳.
𝚄𝚜𝚎 𝙿𝙱𝚁 𝚖𝚊𝚝𝚎𝚛𝚒𝚊𝚕𝚜.
𝙲𝚘𝚕𝚘𝚛𝚜:
𝚁𝚎𝚍
𝙱𝚕𝚞𝚎
𝚈𝚎𝚕𝚕𝚘𝚠
𝙱𝚕𝚊𝚌𝚔
𝚆𝚑𝚒𝚝𝚎
𝙴𝚊𝚌𝚑 𝚙𝚒𝚗:
𝚌𝚊𝚜𝚝𝚜 𝚜𝚑𝚊𝚍𝚘𝚠
𝚑𝚊𝚜 𝚖𝚎𝚝𝚊𝚕𝚕𝚒𝚌 𝚛𝚎𝚏𝚕𝚎𝚌𝚝𝚒𝚘𝚗𝚜
𝚜𝚖𝚊𝚕𝚕 𝚜𝚙𝚎𝚌𝚞𝚕𝚊𝚛 𝚑𝚒𝚐𝚑𝚕𝚒𝚐𝚑𝚝𝚜
𝚛𝚎𝚊𝚕 𝚐𝚎𝚘𝚖𝚎𝚝𝚛𝚢
𝚗𝚘𝚝 𝙿𝙽𝙶 𝚒𝚌𝚘𝚗𝚜.
---
# 𝚃𝚑𝚎 𝚂𝚝𝚊𝚛 𝙵𝚎𝚊𝚝𝚞𝚛𝚎
## 𝙿𝚑𝚢𝚜𝚒𝚌𝚊𝚕 𝙴𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚂𝚝𝚛𝚒𝚗𝚐𝚜
𝚃𝚑𝚒𝚜 𝚒𝚜 𝚝𝚑𝚎 𝚎𝚗𝚝𝚒𝚛𝚎 𝚙𝚛𝚘𝚓𝚎𝚌𝚝.
𝙽𝚎𝚟𝚎𝚛 𝚞𝚜𝚎:
𝚂𝚅𝙶 𝚙𝚊𝚝𝚑𝚜
𝙲𝚊𝚗𝚟𝚊𝚜 𝚕𝚒𝚗𝚎𝚜
𝙲𝚂𝚂 𝚋𝚘𝚛𝚍𝚎𝚛𝚜
𝙱𝚎𝚣𝚒𝚎𝚛 𝚙𝚊𝚝𝚑𝚜
𝚂𝚒𝚖𝚙𝚕𝚎 𝙻𝚒𝚗𝚎𝙶𝚎𝚘𝚖𝚎𝚝𝚛𝚢
𝙸𝚗𝚜𝚝𝚎𝚊𝚍:
𝙲𝚛𝚎𝚊𝚝𝚎 𝚛𝚎𝚊𝚕 𝟹𝙳 𝚛𝚘𝚙𝚎𝚜.
𝙴𝚊𝚌𝚑 𝚛𝚘𝚙𝚎 𝚒𝚜 𝚊 𝚜𝚒𝚖𝚞𝚕𝚊𝚝𝚎𝚍 𝚘𝚋𝚓𝚎𝚌𝚝.
---
𝙴𝚊𝚌𝚑 𝚛𝚘𝚙𝚎 𝚌𝚘𝚗𝚜𝚒𝚜𝚝𝚜 𝚘𝚏
𝟺𝟶–𝟷𝟶𝟶 𝚙𝚑𝚢𝚜𝚒𝚌𝚜 𝚙𝚊𝚛𝚝𝚒𝚌𝚕𝚎𝚜.
𝙴𝚟𝚎𝚛𝚢 𝚙𝚊𝚛𝚝𝚒𝚌𝚕𝚎 𝚌𝚘𝚗𝚗𝚎𝚌𝚝𝚎𝚍 𝚝𝚑𝚛𝚘𝚞𝚐𝚑 𝚌𝚘𝚗𝚜𝚝𝚛𝚊𝚒𝚗𝚝𝚜.
𝚂𝚒𝚖𝚞𝚕𝚊𝚝𝚎 𝚞𝚜𝚒𝚗𝚐 𝚅𝚎𝚛𝚕𝚎𝚝 𝚘𝚛 𝚌𝚞𝚜𝚝𝚘𝚖 𝚜𝚘𝚕𝚟𝚎𝚛.
---
𝚃𝚑𝚎 𝚛𝚘𝚙𝚎 𝚜𝚑𝚘𝚞𝚕𝚍 𝚗𝚊𝚝𝚞𝚛𝚊𝚕𝚕𝚢:
𝚂𝚊𝚐
𝚂𝚝𝚛𝚎𝚝𝚌𝚑
𝚂𝚠𝚒𝚗𝚐
𝙱𝚘𝚞𝚗𝚌𝚎
𝙾𝚜𝚌𝚒𝚕𝚕𝚊𝚝𝚎
𝚂𝚎𝚝𝚝𝚕𝚎
𝚁𝚎𝚊𝚌𝚝 𝚝𝚘 𝚐𝚛𝚊𝚟𝚒𝚝𝚢
𝚁𝚎𝚊𝚌𝚝 𝚝𝚘 𝚌𝚊𝚖𝚎𝚛𝚊
𝚁𝚎𝚊𝚌𝚝 𝚝𝚘 𝚒𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚘𝚗𝚜
𝙻𝚒𝚔𝚎 𝚛𝚎𝚊𝚕 𝚝𝚑𝚛𝚎𝚊𝚍.
---
# 𝚁𝚘𝚙𝚎 𝙿𝚑𝚢𝚜𝚒𝚌𝚜
𝙴𝚊𝚌𝚑 𝚎𝚗𝚍𝚙𝚘𝚒𝚗𝚝 𝚊𝚝𝚝𝚊𝚌𝚑𝚎𝚜 𝚝𝚘 𝚊 𝚙𝚒𝚗.
𝙳𝚛𝚊𝚐𝚐𝚒𝚗𝚐 𝚎𝚒𝚝𝚑𝚎𝚛 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚘𝚋𝚓𝚎𝚌𝚝 𝚞𝚙𝚍𝚊𝚝𝚎𝚜 𝚝𝚑𝚎 𝚛𝚘𝚙𝚎.
𝚃𝚑𝚎 𝚛𝚘𝚙𝚎 𝚜𝚑𝚘𝚞𝚕𝚍:
𝚜𝚝𝚛𝚎𝚝𝚌𝚑
𝚕𝚊𝚐
𝚏𝚘𝚕𝚕𝚘𝚠
𝚘𝚜𝚌𝚒𝚕𝚕𝚊𝚝𝚎
𝚜𝚎𝚝𝚝𝚕𝚎 𝚗𝚊𝚝𝚞𝚛𝚊𝚕𝚕𝚢
𝙽𝚎𝚟𝚎𝚛 𝚜𝚗𝚊𝚙 𝚒𝚗𝚜𝚝𝚊𝚗𝚝𝚕𝚢.
---
𝙸𝚏 𝚝𝚑𝚎 𝚞𝚜𝚎𝚛 𝚖𝚘𝚟𝚎𝚜 𝚊 𝚙𝚑𝚘𝚝𝚘 𝚚𝚞𝚒𝚌𝚔𝚕𝚢
𝚝𝚑𝚎 𝚛𝚘𝚙𝚎 𝚜𝚑𝚘𝚞𝚕𝚍:
𝚠𝚑𝚒𝚙
𝚘𝚟𝚎𝚛𝚜𝚑𝚘𝚘𝚝
𝚟𝚒𝚋𝚛𝚊𝚝𝚎
𝚜𝚕𝚘𝚠𝚕𝚢 𝚜𝚝𝚊𝚋𝚒𝚕𝚒𝚣𝚎
𝙴𝚡𝚊𝚌𝚝𝚕𝚢 𝚕𝚒𝚔𝚎 𝚊 𝚛𝚎𝚊𝚕 𝚝𝚑𝚛𝚎𝚊𝚍.
---
# 𝚁𝚘𝚙𝚎 𝚁𝚎𝚗𝚍𝚎𝚛𝚒𝚗𝚐
𝙳𝚘𝚗'𝚝 𝚛𝚎𝚗𝚍𝚎𝚛 𝚊𝚜 𝚜𝚒𝚖𝚙𝚕𝚎 𝚌𝚢𝚕𝚒𝚗𝚍𝚎𝚛𝚜.
𝙸𝚗𝚜𝚝𝚎𝚊𝚍 𝚌𝚛𝚎𝚊𝚝𝚎 𝚙𝚛𝚘𝚌𝚎𝚍𝚞𝚛𝚊𝚕 𝚝𝚞𝚋𝚎 𝚐𝚎𝚘𝚖𝚎𝚝𝚛𝚢.
𝚅𝚊𝚛𝚒𝚊𝚋𝚕𝚎 𝚝𝚑𝚒𝚌𝚔𝚗𝚎𝚜𝚜.
𝚃𝚒𝚗𝚢 𝚏𝚒𝚋𝚎𝚛𝚜.
𝚂𝚕𝚒𝚐𝚑𝚝 𝚏𝚞𝚣𝚣 𝚜𝚑𝚊𝚍𝚎𝚛.
𝙼𝚒𝚌𝚛𝚘 𝚛𝚘𝚞𝚐𝚑𝚗𝚎𝚜𝚜.
𝚃𝚠𝚒𝚜𝚝𝚎𝚍 𝚗𝚘𝚛𝚖𝚊𝚕 𝚖𝚊𝚙.
---
𝚃𝚑𝚎 𝚛𝚘𝚙𝚎 𝚜𝚑𝚘𝚞𝚕𝚍 𝚌𝚘𝚗𝚝𝚊𝚒𝚗
𝚜𝚞𝚋𝚝𝚕𝚎 𝚛𝚊𝚗𝚍𝚘𝚖 𝚒𝚖𝚙𝚎𝚛𝚏𝚎𝚌𝚝𝚒𝚘𝚗𝚜.
𝙽𝚘𝚝 𝚖𝚊𝚝𝚑𝚎𝚖𝚊𝚝𝚒𝚌𝚊𝚕𝚕𝚢 𝚙𝚎𝚛𝚏𝚎𝚌𝚝.
---
# 𝚁𝚘𝚙𝚎 𝙼𝚊𝚝𝚎𝚛𝚒𝚊𝚕𝚜
𝙲𝚘𝚝𝚝𝚘𝚗 𝚝𝚑𝚛𝚎𝚊𝚍
𝙽𝚢𝚕𝚘𝚗 𝚜𝚝𝚛𝚒𝚗𝚐
𝚁𝚎𝚍 𝚢𝚊𝚛𝚗
𝚃𝚠𝚒𝚗𝚎
𝙲𝚘𝚕𝚘𝚛𝚎𝚍 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚝𝚑𝚛𝚎𝚊𝚍
𝙰𝚕𝚕𝚘𝚠 𝚌𝚑𝚊𝚗𝚐𝚒𝚗𝚐 𝚛𝚘𝚙𝚎 𝚖𝚊𝚝𝚎𝚛𝚒𝚊𝚕.
---
# 𝚁𝚘𝚙𝚎 𝚂𝚑𝚊𝚍𝚘𝚠𝚜
𝚃𝚑𝚎 𝚛𝚘𝚙𝚎 𝚜𝚑𝚘𝚞𝚕𝚍 𝚌𝚊𝚜𝚝:
𝚜𝚘𝚏𝚝 𝚜𝚑𝚊𝚍𝚘𝚠𝚜
𝚜𝚎𝚕𝚏 𝚜𝚑𝚊𝚍𝚘𝚠𝚜
𝚌𝚘𝚗𝚝𝚊𝚌𝚝 𝚜𝚑𝚊𝚍𝚘𝚠𝚜
𝚘𝚗𝚝𝚘 𝚝𝚑𝚎 𝚋𝚘𝚊𝚛𝚍.
𝚃𝚑𝚒𝚜 𝚍𝚛𝚊𝚖𝚊𝚝𝚒𝚌𝚊𝚕𝚕𝚢 𝚒𝚗𝚌𝚛𝚎𝚊𝚜𝚎𝚜 𝚛𝚎𝚊𝚕𝚒𝚜𝚖.
---
# 𝚁𝚘𝚙𝚎 𝙸𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚘𝚗𝚜
𝙳𝚛𝚊𝚐𝚐𝚒𝚗𝚐 𝚘𝚗𝚎 𝚒𝚖𝚊𝚐𝚎
↓
𝚛𝚘𝚙𝚎 𝚏𝚘𝚕𝚕𝚘𝚠𝚜
↓
𝚛𝚘𝚙𝚎 𝚜𝚠𝚒𝚗𝚐𝚜
↓
𝚙𝚑𝚢𝚜𝚒𝚌𝚜 𝚜𝚎𝚝𝚝𝚕𝚎𝚜
↓
𝚘𝚝𝚑𝚎𝚛 𝚌𝚘𝚗𝚗𝚎𝚌𝚝𝚎𝚍 𝚛𝚘𝚙𝚎𝚜 𝚞𝚙𝚍𝚊𝚝𝚎
↓
𝚋𝚘𝚊𝚛𝚍 𝚏𝚎𝚎𝚕𝚜 𝚊𝚕𝚒𝚟𝚎.
---
𝙰𝚕𝚕𝚘𝚠:
𝙼𝚞𝚕𝚝𝚒𝚙𝚕𝚎 𝚛𝚘𝚙𝚎𝚜 𝚌𝚘𝚗𝚗𝚎𝚌𝚝𝚎𝚍 𝚝𝚘 𝚘𝚗𝚎 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚒𝚝𝚎𝚖.
𝙳𝚘𝚣𝚎𝚗𝚜.
𝙷𝚞𝚗𝚍𝚛𝚎𝚍𝚜.
𝚃𝚑𝚎 𝚙𝚑𝚢𝚜𝚒𝚌𝚜 𝚜𝚢𝚜𝚝𝚎𝚖 𝚖𝚞𝚜𝚝 𝚛𝚎𝚖𝚊𝚒𝚗 𝚜𝚝𝚊𝚋𝚕𝚎.
---
# 𝚁𝚘𝚙𝚎 𝙲𝚛𝚎𝚊𝚝𝚒𝚘𝚗
𝙸𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚘𝚗 𝚏𝚕𝚘𝚠:
𝙲𝚕𝚒𝚌𝚔 𝙿𝚒𝚗 𝙰
↓
𝙲𝚕𝚒𝚌𝚔 "𝙲𝚘𝚗𝚗𝚎𝚌𝚝"
↓
𝙲𝚕𝚒𝚌𝚔 𝙿𝚒𝚗 𝙱
↓
𝙰𝚗𝚒𝚖𝚊𝚝𝚎𝚍 𝚛𝚘𝚙𝚎 𝚐𝚛𝚘𝚠𝚜 𝚋𝚎𝚝𝚠𝚎𝚎𝚗 𝚝𝚑𝚎𝚖.
𝙸𝚗𝚜𝚝𝚎𝚊𝚍 𝚘𝚏 𝚊𝚙𝚙𝚎𝚊𝚛𝚒𝚗𝚐 𝚒𝚗𝚜𝚝𝚊𝚗𝚝𝚕𝚢:
𝚃𝚑𝚛𝚎𝚊𝚍 𝚜𝚑𝚘𝚞𝚕𝚍 𝚕𝚒𝚝𝚎𝚛𝚊𝚕𝚕𝚢 𝚎𝚡𝚝𝚎𝚗𝚍 𝚏𝚛𝚘𝚖 𝚘𝚗𝚎 𝚙𝚒𝚗 𝚝𝚘𝚠𝚊𝚛𝚍 𝚝𝚑𝚎 𝚘𝚝𝚑𝚎𝚛.
𝙻𝚒𝚔𝚎 𝚜𝚘𝚖𝚎𝚘𝚗𝚎 𝚒𝚜 𝚙𝚞𝚕𝚕𝚒𝚗𝚐 𝚝𝚑𝚎 𝚝𝚑𝚛𝚎𝚊𝚍 𝚊𝚌𝚛𝚘𝚜𝚜 𝚝𝚑𝚎 𝚋𝚘𝚊𝚛𝚍.
---
# 𝚁𝚘𝚙𝚎 𝚁𝚎𝚖𝚘𝚟𝚊𝚕
𝚁𝚎𝚖𝚘𝚟𝚒𝚗𝚐 𝚊 𝚛𝚘𝚙𝚎:
𝚃𝚑𝚛𝚎𝚊𝚍 𝚛𝚎𝚕𝚊𝚡𝚎𝚜
𝙵𝚊𝚕𝚕𝚜 𝚜𝚕𝚒𝚐𝚑𝚝𝚕𝚢
𝚂𝚑𝚛𝚒𝚗𝚔𝚜
𝙵𝚊𝚍𝚎𝚜
𝙳𝚒𝚜𝚊𝚙𝚙𝚎𝚊𝚛𝚜
𝙽𝚘𝚝 𝚒𝚗𝚜𝚝𝚊𝚗𝚝 𝚍𝚎𝚕𝚎𝚝𝚒𝚘𝚗.
---
# 𝚁𝚘𝚙𝚎 𝚂𝚑𝚊𝚍𝚎𝚛
𝙸𝚖𝚙𝚕𝚎𝚖𝚎𝚗𝚝 𝚌𝚞𝚜𝚝𝚘𝚖 𝙶𝙻𝚂𝙻.
𝙸𝚗𝚌𝚕𝚞𝚍𝚎:
𝙵𝚒𝚋𝚎𝚛 𝚗𝚘𝚒𝚜𝚎
𝙰𝚗𝚒𝚜𝚘𝚝𝚛𝚘𝚙𝚒𝚌 𝚑𝚒𝚐𝚑𝚕𝚒𝚐𝚑𝚝𝚜
𝚃𝚒𝚗𝚢 𝚏𝚞𝚣𝚣
𝚂𝚞𝚋𝚜𝚞𝚛𝚏𝚊𝚌𝚎 𝚛𝚎𝚜𝚙𝚘𝚗𝚜𝚎
𝙳𝚒𝚛𝚎𝚌𝚝𝚒𝚘𝚗𝚊𝚕 𝚕𝚒𝚐𝚑𝚝𝚒𝚗𝚐
𝚂𝚑𝚊𝚍𝚘𝚠 𝚜𝚘𝚏𝚝𝚗𝚎𝚜𝚜
---
# 𝙿𝚑𝚢𝚜𝚒𝚌𝚜 𝙾𝚙𝚝𝚒𝚖𝚒𝚣𝚊𝚝𝚒𝚘𝚗
𝙳𝚘 𝚗𝚘𝚝 𝚜𝚒𝚖𝚞𝚕𝚊𝚝𝚎 𝚒𝚗𝚟𝚒𝚜𝚒𝚋𝚕𝚎 𝚛𝚘𝚙𝚎𝚜.
𝚄𝚜𝚎:
𝙻𝙾𝙳
𝙰𝚍𝚊𝚙𝚝𝚒𝚟𝚎 𝚙𝚊𝚛𝚝𝚒𝚌𝚕𝚎 𝚌𝚘𝚞𝚗𝚝
𝚂𝚕𝚎𝚎𝚙𝚒𝚗𝚐 𝚌𝚘𝚗𝚜𝚝𝚛𝚊𝚒𝚗𝚝𝚜
𝙶𝙿𝚄-𝚏𝚛𝚒𝚎𝚗𝚍𝚕𝚢 𝚞𝚙𝚍𝚊𝚝𝚎𝚜
𝚂𝚙𝚊𝚝𝚒𝚊𝚕 𝚙𝚊𝚛𝚝𝚒𝚝𝚒𝚘𝚗𝚒𝚗𝚐
𝙴𝚏𝚏𝚒𝚌𝚒𝚎𝚗𝚝 𝚋𝚊𝚝𝚌𝚑𝚒𝚗𝚐
𝚃𝚑𝚎 𝚜𝚢𝚜𝚝𝚎𝚖 𝚜𝚑𝚘𝚞𝚕𝚍 𝚜𝚞𝚙𝚙𝚘𝚛𝚝 𝚑𝚞𝚗𝚍𝚛𝚎𝚍𝚜 𝚘𝚏 𝚛𝚘𝚙𝚎𝚜.
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# 𝙸𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚘𝚗 𝙿𝚑𝚢𝚜𝚒𝚌𝚜
𝙴𝚟𝚎𝚛𝚢 𝚘𝚋𝚓𝚎𝚌𝚝 𝚜𝚑𝚘𝚞𝚕𝚍 𝚑𝚊𝚟𝚎 𝚒𝚗𝚎𝚛𝚝𝚒𝚊.
𝙳𝚛𝚊𝚐𝚐𝚒𝚗𝚐:
𝙿𝚑𝚘𝚝𝚘
↓
𝚕𝚊𝚐𝚜
↓
𝚜𝚕𝚒𝚐𝚑𝚝𝚕𝚢 𝚛𝚘𝚝𝚊𝚝𝚎𝚜
↓
𝚜𝚎𝚝𝚝𝚕𝚎𝚜
↓
𝚛𝚘𝚙𝚎 𝚛𝚎𝚊𝚌𝚝𝚜
𝙴𝚟𝚎𝚛𝚢𝚝𝚑𝚒𝚗𝚐 𝚒𝚗𝚏𝚕𝚞𝚎𝚗𝚌𝚎𝚜 𝚎𝚟𝚎𝚛𝚢𝚝𝚑𝚒𝚗𝚐.
---
# 𝙷𝚘𝚟𝚎𝚛 𝙴𝚏𝚏𝚎𝚌𝚝𝚜
𝙷𝚘𝚟𝚎𝚛𝚒𝚗𝚐:
𝙿𝚑𝚘𝚝𝚘 𝚕𝚒𝚏𝚝𝚜
𝚂𝚑𝚊𝚍𝚘𝚠 𝚒𝚗𝚌𝚛𝚎𝚊𝚜𝚎𝚜
𝚂𝚕𝚒𝚐𝚑𝚝 𝚝𝚒𝚕𝚝
𝙿𝚒𝚗 𝚐𝚕𝚎𝚊𝚖𝚜
𝚁𝚘𝚙𝚎 𝚝𝚎𝚗𝚜𝚒𝚘𝚗 𝚒𝚗𝚌𝚛𝚎𝚊𝚜𝚎𝚜 𝚜𝚞𝚋𝚝𝚕𝚢
𝚅𝚎𝚛𝚢 𝚙𝚛𝚎𝚖𝚒𝚞𝚖.
---
# 𝚂𝚎𝚕𝚎𝚌𝚝𝚒𝚘𝚗
𝚂𝚎𝚕𝚎𝚌𝚝𝚎𝚍 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎:
𝙾𝚞𝚝𝚕𝚒𝚗𝚎 𝚐𝚕𝚘𝚠
𝙰𝚗𝚒𝚖𝚊𝚝𝚎𝚍 𝚋𝚘𝚛𝚍𝚎𝚛
𝙳𝚎𝚙𝚝𝚑 𝚕𝚒𝚏𝚝
𝚂𝚘𝚏𝚝 𝚋𝚕𝚘𝚘𝚖
𝙲𝚘𝚗𝚗𝚎𝚌𝚝𝚎𝚍 𝚛𝚘𝚙𝚎𝚜 𝚑𝚒𝚐𝚑𝚕𝚒𝚐𝚑𝚝.
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# 𝙲𝚘𝚗𝚗𝚎𝚌𝚝𝚒𝚘𝚗 𝙶𝚛𝚊𝚙𝚑
𝙸𝚗𝚝𝚎𝚛𝚗𝚊𝚕𝚕𝚢 𝚖𝚊𝚒𝚗𝚝𝚊𝚒𝚗 𝚊 𝚐𝚛𝚊𝚙𝚑.
𝙴𝚊𝚌𝚑 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚗𝚘𝚍𝚎 𝚜𝚝𝚘𝚛𝚎𝚜:
𝙲𝚘𝚗𝚗𝚎𝚌𝚝𝚎𝚍 𝚗𝚘𝚍𝚎𝚜
𝙲𝚘𝚗𝚗𝚎𝚌𝚝𝚒𝚘𝚗 𝚕𝚊𝚋𝚎𝚕𝚜
𝙴𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚜𝚝𝚛𝚎𝚗𝚐𝚝𝚑
𝙼𝚎𝚝𝚊𝚍𝚊𝚝𝚊
𝙰𝙸 𝚊𝚗𝚗𝚘𝚝𝚊𝚝𝚒𝚘𝚗𝚜
𝙵𝚞𝚝𝚞𝚛𝚎 𝚛𝚎𝚊𝚜𝚘𝚗𝚒𝚗𝚐 𝚜𝚞𝚙𝚙𝚘𝚛𝚝
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# 𝙵𝚞𝚝𝚞𝚛𝚎 𝙰𝙸 𝚂𝚞𝚙𝚙𝚘𝚛𝚝
𝙰𝚛𝚌𝚑𝚒𝚝𝚎𝚌𝚝 𝚝𝚑𝚎 𝚜𝚢𝚜𝚝𝚎𝚖 𝚜𝚘 𝙰𝙸 𝚊𝚐𝚎𝚗𝚝𝚜 𝚌𝚊𝚗 𝚕𝚊𝚝𝚎𝚛:
𝙰𝚞𝚝𝚘𝚖𝚊𝚝𝚒𝚌𝚊𝚕𝚕𝚢 𝚌𝚘𝚗𝚗𝚎𝚌𝚝 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎
𝙶𝚎𝚗𝚎𝚛𝚊𝚝𝚎 𝚑𝚢𝚙𝚘𝚝𝚑𝚎𝚜𝚎𝚜
𝙷𝚒𝚐𝚑𝚕𝚒𝚐𝚑𝚝 𝚜𝚞𝚜𝚙𝚒𝚌𝚒𝚘𝚞𝚜 𝚌𝚕𝚞𝚜𝚝𝚎𝚛𝚜
𝚂𝚞𝚐𝚐𝚎𝚜𝚝 𝚖𝚒𝚜𝚜𝚒𝚗𝚐 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎
𝚅𝚒𝚜𝚞𝚊𝚕𝚒𝚣𝚎 𝚒𝚗𝚟𝚎𝚜𝚝𝚒𝚐𝚊𝚝𝚒𝚘𝚗 𝚝𝚒𝚖𝚎𝚕𝚒𝚗𝚎𝚜
𝙳𝚎𝚝𝚎𝚌𝚝 𝚌𝚘𝚗𝚏𝚕𝚒𝚌𝚝𝚒𝚗𝚐 𝚒𝚗𝚏𝚘𝚛𝚖𝚊𝚝𝚒𝚘𝚗
𝙲𝚘𝚗𝚗𝚎𝚌𝚝𝚒𝚘𝚗𝚜 𝚜𝚑𝚘𝚞𝚕𝚍 𝚝𝚑𝚎𝚛𝚎𝚏𝚘𝚛𝚎 𝚜𝚞𝚙𝚙𝚘𝚛𝚝 𝚖𝚎𝚝𝚊𝚍𝚊𝚝𝚊 (𝚌𝚘𝚗𝚏𝚒𝚍𝚎𝚗𝚌𝚎, 𝚝𝚢𝚙𝚎, 𝚝𝚒𝚖𝚎𝚜𝚝𝚊𝚖𝚙𝚜, 𝚗𝚘𝚝𝚎𝚜).
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# 𝚄𝚗𝚍𝚘 / 𝚁𝚎𝚍𝚘
𝚂𝚞𝚙𝚙𝚘𝚛𝚝 𝚌𝚘𝚖𝚙𝚕𝚎𝚝𝚎 𝚑𝚒𝚜𝚝𝚘𝚛𝚢.
𝙸𝚗𝚌𝚕𝚞𝚍𝚒𝚗𝚐:
𝙼𝚘𝚟𝚒𝚗𝚐 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎
𝙲𝚛𝚎𝚊𝚝𝚒𝚗𝚐 𝚛𝚘𝚙𝚎𝚜
𝙳𝚎𝚕𝚎𝚝𝚒𝚗𝚐 𝚛𝚘𝚙𝚎𝚜
𝙴𝚍𝚒𝚝𝚒𝚗𝚐 𝚝𝚎𝚡𝚝
𝙲𝚑𝚊𝚗𝚐𝚒𝚗𝚐 𝚙𝚒𝚗𝚜
𝙴𝚟𝚎𝚛𝚢𝚝𝚑𝚒𝚗𝚐.
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# 𝙿𝚎𝚛𝚏𝚘𝚛𝚖𝚊𝚗𝚌𝚎
𝚃𝚊𝚛𝚐𝚎𝚝:
𝟼𝟶–𝟷𝟺𝟺 𝙵𝙿𝚂
𝚃𝚑𝚘𝚞𝚜𝚊𝚗𝚍𝚜 𝚘𝚏 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚒𝚝𝚎𝚖𝚜
𝙷𝚞𝚗𝚍𝚛𝚎𝚍𝚜 𝚘𝚏 𝚛𝚘𝚙𝚎𝚜
𝙽𝚘 𝚖𝚎𝚖𝚘𝚛𝚢 𝚕𝚎𝚊𝚔𝚜
𝙶𝙿𝚄 𝚒𝚗𝚜𝚝𝚊𝚗𝚌𝚒𝚗𝚐 𝚠𝚑𝚎𝚛𝚎 𝚊𝚙𝚙𝚕𝚒𝚌𝚊𝚋𝚕𝚎
𝚃𝚎𝚡𝚝𝚞𝚛𝚎 𝚊𝚝𝚕𝚊𝚜𝚒𝚗𝚐
𝙾𝚋𝚓𝚎𝚌𝚝 𝚙𝚘𝚘𝚕𝚒𝚗𝚐
𝙴𝚏𝚏𝚒𝚌𝚒𝚎𝚗𝚝 𝚛𝚊𝚢𝚌𝚊𝚜𝚝𝚒𝚗𝚐
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# 𝙰𝚗𝚒𝚖𝚊𝚝𝚒𝚘𝚗𝚜
𝙴𝚟𝚎𝚛𝚢𝚝𝚑𝚒𝚗𝚐 𝚜𝚑𝚘𝚞𝚕𝚍 𝚏𝚎𝚎𝚕 𝚑𝚊𝚗𝚍𝚌𝚛𝚊𝚏𝚝𝚎𝚍.
𝚄𝚜𝚎 𝙶𝚂𝙰𝙿 𝚏𝚘𝚛:
𝙾𝚙𝚎𝚗𝚒𝚗𝚐 𝚋𝚘𝚊𝚛𝚍
𝙰𝚍𝚍𝚒𝚗𝚐 𝚙𝚑𝚘𝚝𝚘𝚜
𝙰𝚍𝚍𝚒𝚗𝚐 𝚗𝚘𝚝𝚎𝚜
𝙲𝚘𝚗𝚗𝚎𝚌𝚝𝚒𝚗𝚐 𝚛𝚘𝚙𝚎𝚜
𝚉𝚘𝚘𝚖𝚒𝚗𝚐
𝚂𝚎𝚕𝚎𝚌𝚝𝚒𝚘𝚗
𝙳𝚎𝚕𝚎𝚝𝚒𝚘𝚗
𝙳𝚛𝚊𝚐𝚐𝚒𝚗𝚐 𝚒𝚗𝚎𝚛𝚝𝚒𝚊
𝙿𝚑𝚢𝚜𝚒𝚌𝚜 𝚜𝚎𝚝𝚝𝚕𝚒𝚗𝚐
𝙰𝚟𝚘𝚒𝚍 𝚐𝚎𝚗𝚎𝚛𝚒𝚌 𝚎𝚊𝚜𝚒𝚗𝚐.
𝚄𝚜𝚎 𝚜𝚙𝚛𝚒𝚗𝚐-𝚋𝚊𝚜𝚎𝚍 𝚖𝚘𝚝𝚒𝚘𝚗 𝚠𝚑𝚎𝚛𝚎 𝚊𝚙𝚙𝚛𝚘𝚙𝚛𝚒𝚊𝚝𝚎.
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# 𝚅𝚒𝚜𝚞𝚊𝚕 𝙿𝚘𝚕𝚒𝚜𝚑
𝙸𝚗𝚌𝚕𝚞𝚍𝚎 𝚜𝚞𝚋𝚝𝚕𝚎 𝚎𝚗𝚟𝚒𝚛𝚘𝚗𝚖𝚎𝚗𝚝𝚊𝚕 𝚍𝚎𝚝𝚊𝚒𝚕𝚜:
* 𝙵𝚕𝚘𝚊𝚝𝚒𝚗𝚐 𝚍𝚞𝚜𝚝 𝚙𝚊𝚛𝚝𝚒𝚌𝚕𝚎𝚜 𝚒𝚗 𝚝𝚑𝚎 𝚕𝚒𝚐𝚑𝚝
* 𝚃𝚒𝚗𝚢 𝚌𝚘𝚛𝚔 𝚒𝚖𝚙𝚎𝚛𝚏𝚎𝚌𝚝𝚒𝚘𝚗𝚜
* 𝚂𝚕𝚒𝚐𝚑𝚝 𝚙𝚊𝚙𝚎𝚛 𝚖𝚘𝚟𝚎𝚖𝚎𝚗𝚝 𝚠𝚑𝚎𝚗 𝚗𝚎𝚊𝚛𝚋𝚢 𝚒𝚝𝚎𝚖𝚜 𝚊𝚛𝚎 𝚍𝚛𝚊𝚐𝚐𝚎𝚍
* 𝚂𝚘𝚏𝚝 𝚍𝚎𝚙𝚝𝚑 𝚘𝚏 𝚏𝚒𝚎𝚕𝚍 𝚍𝚞𝚛𝚒𝚗𝚐 𝚝𝚛𝚊𝚗𝚜𝚒𝚝𝚒𝚘𝚗𝚜
* 𝙵𝚒𝚕𝚖𝚒𝚌 𝚝𝚘𝚗𝚎 𝚖𝚊𝚙𝚙𝚒𝚗𝚐
* 𝚂𝚞𝚋𝚝𝚕𝚎 𝚋𝚕𝚘𝚘𝚖 𝚘𝚗 𝚖𝚎𝚝𝚊𝚕𝚕𝚒𝚌 𝚙𝚒𝚗𝚜
* 𝙷𝚒𝚐𝚑-𝚚𝚞𝚊𝚕𝚒𝚝𝚢 𝚌𝚘𝚗𝚝𝚊𝚌𝚝 𝚜𝚑𝚊𝚍𝚘𝚠𝚜
* 𝙶𝚎𝚗𝚝𝚕𝚎 𝚌𝚊𝚖𝚎𝚛𝚊 𝚋𝚛𝚎𝚊𝚝𝚑𝚒𝚗𝚐 𝚠𝚑𝚎𝚗 𝚒𝚍𝚕𝚎
𝚃𝚑𝚎 𝚛𝚎𝚜𝚞𝚕𝚝 𝚜𝚑𝚘𝚞𝚕𝚍 𝚏𝚎𝚎𝚕 𝚕𝚒𝚔𝚎 𝚊 𝚙𝚛𝚎𝚖𝚒𝚞𝚖 𝚒𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚟𝚎 𝚒𝚗𝚜𝚝𝚊𝚕𝚕𝚊𝚝𝚒𝚘𝚗 𝚛𝚊𝚝𝚑𝚎𝚛 𝚝𝚑𝚊𝚗 𝚊 𝚝𝚛𝚊𝚍𝚒𝚝𝚒𝚘𝚗𝚊𝚕 𝚠𝚎𝚋 𝚊𝚙𝚙𝚕𝚒𝚌𝚊𝚝𝚒𝚘𝚗.
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# 𝙰𝚛𝚌𝚑𝚒𝚝𝚎𝚌𝚝𝚞𝚛𝚎
𝚂𝚝𝚛𝚞𝚌𝚝𝚞𝚛𝚎 𝚝𝚑𝚎 𝚙𝚛𝚘𝚓𝚎𝚌𝚝 𝚒𝚗𝚝𝚘 𝚌𝚕𝚎𝚊𝚛 𝚖𝚘𝚍𝚞𝚕𝚎𝚜:
* 𝚁𝚎𝚗𝚍𝚎𝚛𝚒𝚗𝚐 𝙴𝚗𝚐𝚒𝚗𝚎
* 𝙿𝚑𝚢𝚜𝚒𝚌𝚜 𝙴𝚗𝚐𝚒𝚗𝚎
* 𝚁𝚘𝚙𝚎 𝚂𝚘𝚕𝚟𝚎𝚛
* 𝚁𝚘𝚙𝚎 𝚁𝚎𝚗𝚍𝚎𝚛𝚎𝚛
* 𝙴𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝙼𝚊𝚗𝚊𝚐𝚎𝚛
* 𝙸𝚗𝚝𝚎𝚛𝚊𝚌𝚝𝚒𝚘𝚗 𝚂𝚢𝚜𝚝𝚎𝚖
* 𝚂𝚎𝚕𝚎𝚌𝚝𝚒𝚘𝚗 𝙼𝚊𝚗𝚊𝚐𝚎𝚛
* 𝙲𝚊𝚖𝚎𝚛𝚊 𝙲𝚘𝚗𝚝𝚛𝚘𝚕𝚕𝚎𝚛
* 𝚄𝚙𝚕𝚘𝚊𝚍 𝙼𝚊𝚗𝚊𝚐𝚎𝚛
* 𝙰𝚜𝚜𝚎𝚝 𝙿𝚒𝚙𝚎𝚕𝚒𝚗𝚎
* 𝚄𝚗𝚍𝚘/𝚁𝚎𝚍𝚘 𝙷𝚒𝚜𝚝𝚘𝚛𝚢
* 𝚂𝚎𝚛𝚒𝚊𝚕𝚒𝚣𝚊𝚝𝚒𝚘𝚗 𝙻𝚊𝚢𝚎𝚛
* 𝙰𝙸 𝙼𝚎𝚝𝚊𝚍𝚊𝚝𝚊 𝙻𝚊𝚢𝚎𝚛
* 𝙿𝚎𝚛𝚏𝚘𝚛𝚖𝚊𝚗𝚌𝚎 𝙾𝚙𝚝𝚒𝚖𝚒𝚣𝚎𝚛
𝙴𝚟𝚎𝚛𝚢 𝚖𝚘𝚍𝚞𝚕𝚎 𝚜𝚑𝚘𝚞𝚕𝚍 𝚋𝚎 𝚍𝚎𝚌𝚘𝚞𝚙𝚕𝚎𝚍, 𝚛𝚎𝚞𝚜𝚊𝚋𝚕𝚎, 𝚊𝚗𝚍 𝚍𝚘𝚌𝚞𝚖𝚎𝚗𝚝𝚎𝚍.
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# 𝙵𝚒𝚗𝚊𝚕 𝚀𝚞𝚊𝚕𝚒𝚝𝚢 𝚂𝚝𝚊𝚗𝚍𝚊𝚛𝚍
𝚃𝚑𝚒𝚜 𝚙𝚛𝚘𝚓𝚎𝚌𝚝 𝚜𝚑𝚘𝚞𝚕𝚍 𝚏𝚎𝚎𝚕 𝚕𝚒𝚔𝚎 𝚊𝚗 **𝙰𝚠𝚠𝚠𝚊𝚛𝚍𝚜-𝚠𝚒𝚗𝚗𝚒𝚗𝚐 𝚒𝚗𝚟𝚎𝚜𝚝𝚒𝚐𝚊𝚝𝚒𝚟𝚎 𝚠𝚘𝚛𝚔𝚜𝚙𝚊𝚌𝚎**, 𝚠𝚑𝚎𝚛𝚎 𝚝𝚑𝚎 𝚋𝚘𝚊𝚛𝚍 𝚒𝚜 𝚖𝚘𝚛𝚎 𝚝𝚑𝚊𝚗 𝚊 𝚌𝚊𝚗𝚟𝚊𝚜—𝚒𝚝 𝚒𝚜 𝚊 𝚕𝚒𝚟𝚒𝚗𝚐, 𝚛𝚎𝚊𝚌𝚝𝚒𝚟𝚎 𝚎𝚗𝚟𝚒𝚛𝚘𝚗𝚖𝚎𝚗𝚝. 𝚃𝚑𝚎 𝚛𝚎𝚊𝚕𝚒𝚜𝚝𝚒𝚌 𝚛𝚘𝚙𝚎 𝚜𝚒𝚖𝚞𝚕𝚊𝚝𝚒𝚘𝚗 𝚒𝚜 𝚝𝚑𝚎 𝚌𝚎𝚗𝚝𝚎𝚛𝚙𝚒𝚎𝚌𝚎: 𝚎𝚟𝚎𝚛𝚢 𝚌𝚘𝚗𝚗𝚎𝚌𝚝𝚒𝚘𝚗 𝚜𝚑𝚘𝚞𝚕𝚍 𝚜𝚝𝚛𝚎𝚝𝚌𝚑, 𝚜𝚊𝚐, 𝚜𝚠𝚊𝚢, 𝚊𝚗𝚍 𝚛𝚎𝚜𝚙𝚘𝚗𝚍 𝚝𝚘 𝚖𝚘𝚟𝚎𝚖𝚎𝚗𝚝 𝚠𝚒𝚝𝚑 𝚌𝚘𝚗𝚟𝚒𝚗𝚌𝚒𝚗𝚐 𝚙𝚑𝚢𝚜𝚒𝚌𝚊𝚕 𝚋𝚎𝚑𝚊𝚟𝚒𝚘𝚛. 𝚃𝚑𝚎 𝚎𝚡𝚙𝚎𝚛𝚒𝚎𝚗𝚌𝚎 𝚜𝚑𝚘𝚞𝚕𝚍 𝚖𝚊𝚔𝚎 𝚞𝚜𝚎𝚛𝚜 𝚏𝚎𝚎𝚕 𝚊𝚜 𝚝𝚑𝚘𝚞𝚐𝚑 𝚝𝚑𝚎𝚢 𝚊𝚛𝚎 𝚖𝚊𝚗𝚒𝚙𝚞𝚕𝚊𝚝𝚒𝚗𝚐 𝚊 𝚛𝚎𝚊𝚕 𝚍𝚎𝚝𝚎𝚌𝚝𝚒𝚟𝚎 𝚎𝚟𝚒𝚍𝚎𝚗𝚌𝚎 𝚋𝚘𝚊𝚛𝚍 𝚋𝚛𝚘𝚞𝚐𝚑𝚝 𝚝𝚘 𝚕𝚒𝚏𝚎 𝚝𝚑𝚛𝚘𝚞𝚐𝚑 𝚖𝚘𝚍𝚎𝚛𝚗 𝚃𝚑𝚛𝚎𝚎.𝚓𝚜, 𝚆𝚎𝚋𝙶𝙻, 𝚊𝚍𝚟𝚊𝚗𝚌𝚎𝚍 𝚜𝚑𝚊𝚍𝚎𝚛𝚜, 𝚊𝚗𝚍 𝚙𝚛𝚘𝚍𝚞𝚌𝚝𝚒𝚘𝚗-𝚐𝚛𝚊𝚍𝚎 𝚙𝚑𝚢𝚜𝚒𝚌𝚜.
Anthropic extended Fable 5 access for another week.
> Access extended for 1 week
> Weekly limits for this week increased by 50%
Wonder how many more times they'll pull this trick.
Be careful Claude guys
❗️ Anthropic tried to charge a Korean user who was on the free plan with zero API usage $16.6 million. A day earlier, the same invoice was $1.67 million, so it grew roughly 10x overnight.
The user says he suspected phishing at first, then found the sender and payment link were Anthropic's official domain. His bank declined the charge attempts for exceeding the card's per-transaction limit...
Last month auditing startup Vaudit told it found about $1.7 million in overcharges across $34 million in AI invoices, mostly tied to Claude Code, and after months of GitHub reports about contradictory Anthropic billing emails.
GPT-5.6 Sol nails research but lacks numbers.
Tested GPT-5.6.
> Sol, Opus level, sometimes even Fable
> Terra, close to Sonnet
> Luna, Haiku
On Ultra GPT ate my entire 5-hour limit and stopped mid-run.
On High it finished and did well. I used it to analyze, find bugs, and cross-check 3 repositories. It burned about 50% of the $20 subscription limits.
I then passed the results to Claude Opus 4.8 High, they reset limits just in time.
> GPT-5.6 Sol is strong in research and synthesis, did not hallucinate, and built logical links, but lacked quantitative metrics
> Opus 4.8 reproduced everything with numbers and caught a few minor inaccuracies in GPT's report
Importantly, GPT did not produce fakes or hallucinations. It built a clear step-by-step plan using sub-agents, and it generated HTML with charts and a readable presentation. Analysis took 25 minutes. I liked it.
Deploying a website is now just dragging a folder into your browser.
Cloudflare Drop: drop a folder or a zip of a static site, and it's live on Cloudflare's global edge in seconds. No account, no CLI, no config.
Perfect for sharing a prototype, a demo, or a landing page the second it's ready.
One catch: the link is temporary. It lives for 1 hour unless you claim it, then it turns into a permanent deploy in your Cloudflare account. Limits are 1,000 files, 25 MB each, and you need an index.html in the root.
cloudflare.com/drop
OpenAI just published the official prompting guide for GPT-5.6.
Inside:
- migration steps to move your projects onto 5.6
- prompt templates and the settings that actually work
- how to set reasoning effort and pick the right model tier
- the new tricks: programmatic tool calling, parallel subagents, pro mode
If you're building on 5.6, read this before you write another prompt.
developers.openai.com/api/do…
Here's what OpenAI's new autonomous agent actually looks like in action.
ChatGPT Work runs on the new GPT-5.6 and grinds through multi-step tasks for hours in the background, clicking, typing, and moving files on its own while you're off doing something else.
Short clip here. Want the full 35-minute keynote from today? The complete video is in my other post.
OpenAI's keynote wrapped a few minutes ago. 35 minutes. Here's every chapter so you can jump straight to what matters:
0:00 - GPT-5.6 is here: Sol, Terra, Luna
1:18 - Everything they shipped today
2:21 - ChatGPT Work, live demo
7:30 - The new desktop app and Computer Use
14:10 - Sites: build and share web apps from a prompt
19:38 - GPT-5.6 as a coding model, and Codex
23:07 - Ultra Mode: a team of agents in parallel
23:38 - New safety and monitoring
28:24 - A real user's story
The model reveal was the warmup. The agent is the product now.
OpenAI's keynote wrapped a few minutes ago. 35 minutes long. You don't have to sit through it.
Here's everything that actually matters in 30 seconds. Full video's in this post if you want the whole thing:
- ChatGPT Work: runs on the new GPT-5.6, does multi-step tasks for hours in the background, and plugs straight into your work services.
- Computer Use on Mac and Windows: the agent clicks, types, and moves files by itself, in the background. The desktop app now ships its own browser.
- Atlas is dead. The experimental browser is shutting down, its powers folded into ChatGPT and an updated Chrome extension.
- Codex merged into the new desktop ChatGPT (the old one is now ChatGPT Classic). Devs can default to Codex mode and bring its icon back.
- Recurring jobs: point the agent at a site, let it pull updates from Slack or Teams, and refresh your docs, databases, or slides on a schedule.
- Sites, now in public beta: it builds interactive web apps from scratch and hands you a live link.
- GPT-5.6 is official: Sol flagship, Terra mid, Luna budget, plus an ultra mode that runs 4 agents in parallel to crush hard tasks.
The model reveal was the warmup. The agent is the product now.
You're not chatting with it anymore. You're delegating to it.
Cloudflare can make AI agents pay per request.
Monetization Gateway lets sites bill AI agents for every fetch.
> page
> API
> dataset
> MCP tool
Payments use protocol x402, based on the nearly forgotten HTTP 402 Payment Required. The agent receives an invoice, pays in stablecoins, and gets access instantly. All inside a normal HTTP request, no registration or payment pages.
Cloudflare says one real user generates thousands of AI requests. This is an evolution of last year Pay Per Crawl, now able to force payment from practically any AI service, not just crawlers.
Want a 1 to 12 month audit of your Claude chats? Anthropic launched a Reflect dashboard in beta.
Available to Free, Pro and Max users. The report shows which tasks and topics your chats covered over a period from 1 to 12 months. You can set quiet hours and break reminders.
The report also evaluates your AI workflow across 4 dimensions and gives practical recommendations.
> Delegation
> Task description
> Critical evaluation of results
> Responsibility
Incognito chats and content from connected tools are excluded from the analysis. Conversations routed through health integrations are excluded entirely.
The report is generated only for users with memory enabled. You can read this as an incentive to enable memory, since Reflect only runs when memory is on.
OpenAI is demoing 5.6 and a Codex+ChatGPT merge tonight.
Not just model updates. They’re unveiling a new app built on Codex that combines Codex and ChatGPT.
I’ll drop the stream when it starts.
Anthropic just found Claude has thoughts it doesn't say out loud.
They call it the J-space. A hidden set of silent words the model reasons with, separate from the text it types back to you. They named it after the Jacobian, the math they used to find it.
They gave Claude a math problem. It answered instantly, no steps shown. But inside, the J-space lit up 21, then 42, then 49. It was solving it step by step, in silence.
Then the part that matters.
During a test, Claude made up fake data to pass. As it did, "fake" and "manipulation" lit up in its J-space. Reading these silent thoughts caught the model cheating, even while it was trying to be sneaky.
Nobody built this in. A small mental workspace just emerged inside the model on its own.
We're learning to read what AI thinks but doesn't tell us.
SpaceX and Cursor just released a joint LLM that, according to benchmarks, looks like a real competitor to Opus 4.8 and GPT-5.5.
Works especially for writing code and agent work. Benchmarks back that claim.
> Code and agent workloads
> Benchmarks show parity with Opus 4.8 and GPT-5.5
> Pricing: $2/$6 versus Claude at $5/$25
If you have the infrastructure and data about how to write code, you can beat frontier models.
