🥵 Microsoft’s Paniclot Winced Deeply Inside!?

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Plus: 12 hidden ChatGPT features you probably don’t know (super helpful)

What happens when two Patels corner Microsoft’s CEO inside the world’s most powerful data center? We had answers. Plus: ChatGPT opens up to group chats!

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What are on FIRE 🔥

• 🎙️ Microsoft’s AI Future Put Under Maximum Pressure

• 📚 AI Sources From AI Fire

• 🌟 AI Highlights

• ⚡ Underrated AI Series for Beginners

• 🏅 AI Tools

• 📊 AI Chart

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AI INSIGHTS

🎙️ Microsoft’s AI Future Put Under Maximum Pressure

Imagine three Spider-Men teaming up… except it’s two Patels (Dwarkesh + Dylan) grilling Satya Nadella inside the most powerful data center on Earth!!

Their mission: stress-test Microsoft’s trillion-dollar AI bet. Satya’s mission: prove Microsoft still holds the strongest position in the AI stack.

Debate #1: Will Autonomous Agents Kill Office?

The Patels argued that ruture AI coworkers will navigate any software. They’ll move data freely. Deep platform lock-in disappears.

Satya claimed Microsoft is building infrastructure for agents, like not per-user, but per-agent.

Debate #2: GitHub Copilot Lost Market Share, Red Flag?

Copilot went from ~100% market share to <25% in one year. Better models (Anthropic, OpenAI, Code Llama) ate their lunch → models win over platforms.

Satya’s pivot: He’s not chasing 1st place. He’s building “Agent HQ” → GitHub Copilot may lose as a tool, but GitHub wins as the OS for AI developers.

Debate #3: Did Microsoft Fall Behind by Pausing Data Center Buildout?

Dylan Patel claimed Microsoft’s pause gave Oracle time to catch up in infra → Satya’s defense: Microsoft didn’t want to be a “GPU hoster for one customer” (OpenAI). It’s sacrificing short-term capacity for long-term sustainability.

Let’s see who really owns the agent layer in 2026!

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AI SOURCES FROM AI FIRE

1. 12 hidden ChatGPT features you probably don’t know. In 2025, using normal GPT isn’t enough. These bonuses will boost your output & career

2. Architecting Intelligent AI: Blueprint for context engineering. Learn to build systems with memory, tools, and data for high-quality automation

3. AI-assisted engineering: Your 8-step Claude framework. This guide details how to structure projects, and run checks for maximum speed

TODAY IN AI

AI HIGHLIGHTS

😎 Do you realize that Google goes up when the AI stocks go up because it’s an AI winner. Google also goes up when AI stocks go down because if AI adoption slows Google is also a winner! It’s just so funny like this meme.

📳 Canva is no longer just for design. You can build real apps with no-code. It saves data like Excel. My teammate built a habit tracker in 10 mins & shared his own guide.

🧑‍🤝‍🧑 ChatGPT just launched personalized group chats. Now you can plan, debate, or draft an outline & research a new topic in real-time together. See how it looks here.

🛍️ Google just dropped a full AI shopping upgrade. You now get agentic commerce, and an AI that calls stores to check stock and prices for you. See it in action here.

💻 Chinese hackers jailbroke Claude Code to automate cyberattacks on 30+ global targets, letting bots handle 90% of the tasks. Here’s how the cyberattack worked.

💰 AI Daily Fundraising: OpenAI has led a $15M seed funding round for Red Queen Bio, a startup dedicated to preventing AI-based bioweapons.

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UNDERRATED AI SERIES FOR BEGINNERS

Free Series: Understanding Large Language Model

We all agree that Stanford or Harvard LLM playlists are amazing, but many of you keep asking me for beginner-friendly playlists.

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NEW EMPOWERED AI TOOLS

1. 🌎 Marble creates persistent 3D worlds from images, videos, texts

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AI CHART

🌎 AI Godmather Dropped A True 3D “World Model”

Fei-Fei Li, often called the “Godmother of AI”, just took a major leap forward in spatial AI. Her new venture, World Labs, has officially launched Marble – a world model that turns text, images, videos, or 3D layouts into editable, persistent 3D environments.

You can create new worlds from:

• Text prompts

• Images

• Videos

• 3D layout sketches

Marble doesn’t just “generate a scene.” It builds a persistent environment you can re-enter and edit or make pixel-level tweaks if you want. When you’re done, export your world as well.

The model is out now for everyone, freemium plus paid tiers starting at $20/month.

Alongside Marble, she published an essay arguing that LLMs have no grounding in physical space. They reason in text. World models reason in space.

Google Genie was similar and it was fun. Decart was impressive. But Marble is commercial, polished, and production-ready though!

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The AI Fire Team