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OpenAI Accuses Musk of Trying to Seize Control of AGI

This week’s edition is packed—but focused. OpenAI just called Elon Musk an “AGI dictator” in a countersuit, McDonald’s and Taco Bell are running smoother than ever thanks to AI, and we’ve got a quick challenge to help you build your own no-code app. Let’s dive in ⬇️

In today’s newsletter:
👑 OpenAI accuses Musk of trying to seize control of AGI
🍟 AI is reshaping your favorite fast food chains
🛡️ Google’s new cybersecurity AI raises the bar
💻 Challenge: Create a no-code app with Firebase in minutes

🧾 OpenAI Calls Elon Must an AGI Dicator in Court

OpenAI has filed a countersuit against Elon Musk, and the language isn’t subtle: the company alleges that Musk hoped to become the “sole decision maker” in a future artificial general intelligence (AGI) regime. They call it a power grab—and say Musk’s ongoing behavior amounts to “a campaign of harassment.”

This legal drama stems from Musk’s original lawsuit against OpenAI, where he claimed the company had strayed from its nonprofit roots and was withholding technology from the public. In response, OpenAI is revealing internal emails that show Musk pushing for a for-profit model as early as 2017.

⚖️ A deeper fight over AGI

At the heart of this battle is the question of who controls AGI development. Musk wanted OpenAI to merge with Tesla, or alternatively, give him board control. OpenAI declined—and now both sides are pulling receipts.

The suit says Musk supported going commercial when it benefited him and backed off only when he wasn’t in control. OpenAI argues that its partnership with Microsoft is part of a responsible, controlled rollout of powerful models, not a betrayal of its founding values.

🔍 Why it matters

This goes beyond petty drama. If AGI really is near, as both parties claim, then the structure and transparency of its development could shape the future of human civilization. Who makes those decisions—and under what incentives—matters deeply.

So far, there’s no trial date set. But this is one of the most consequential fights in the history of artificial intelligence.

🍟 AI Is Reshaping Your Favorite Fast Food Chains

🍔 Behind the scenes, everything is changing

McDonald’s is using AI to optimize everything from drive-thru wait times to deep fryer scheduling. Their systems can:

  • 🛒 Predict inventory needs

  • 🧑‍🍳 Adjust staffing in real time

  • 📝 Rewrite menu displays based on weather or events

The result? Faster service, fewer errors, and more efficiency per worker. AI also helps managers predict rushes and reduce food waste, saving money and improving customer satisfaction.

🧠 AI is a better manager than you think

Taco Bell and KFC are piloting AI assistants that manage scheduling, prep times, and customer feedback. These tools take in real-time operational data, analyze past patterns, and give managers AI-generated task suggestions. In one test market, customer wait times dropped by 29%, and employee satisfaction rose thanks to less chaos and clearer task distribution. There are even early-stage experiments with AI-curated menus that adapt to customer trends.

The future of fast food might not involve robots at the counter—but it’s definitely going to involve AI behind the scenes. From supply chain to scheduling, it’s already reshaping what “fast” really means.

This Week’s Scoop 🍦

⏳Challenge of the Week: Build a Gemini-Powered App With Firebase Studio

Challenge: Build your first full-stack AI app using Google Firebase Studio—Google’s brand-new, AI-native cloud development environment powered by Gemini.

What makes it powerful?

  • App Prototyping Agent: Design UI, API schema, and AI logic via natural language or screenshots

  • Built-in Gemini tools for writing, testing, and refactoring code

  • Firebase integration: Authentication, Firestore, App Hosting, and more—fully managed

Preview and deploy instantly to the web, or build for Android/iOS using Firebase App Hosting.

Quick steps to launch:

  1. Visit Firebase Studio and log in

  2. Use the App Prototyping Agent to describe what your app should do (e.g. "Create a travel planning app that uses Gemini to suggest weekend getaways")

  3. Review the auto-generated UI and data structure suggestions

  4. Add Gemini prompts to handle workflows like summarization, recommendations, or auto-replies

  5. Launch your project with a live URL or open it in a coding workspace for more advanced edits

Bonus challenge: Build an app that helps you reflect at the end of the day. Use Gemini to ask three questions: "What did I learn today?", "What would I do differently?", and "What was the highlight of my day?" Store the answers in Firestore and display them in a daily timeline so you can track personal growth over time.

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That’s it for this week’s Jumble! From AGI courtroom drama to AI-powered french fries, one thing is clear: artificial intelligence is moving faster than ever.

Let us know what story surprised you most!

Stay informed, stay curious, and stay ahead with Jumble!

Zoe from Jumble