The tech world is buzzing with the announcement of a groundbreaking OpenAI NVIDIA partnership set to deploy an unprecedented 10 gigawatts (GW) of AI systems. This strategic move signals the construction of the single largest compute cluster humanity has ever seen, dwarfing all current projects and raising major questions about the future of AI, energy consumption, and the competitive landscape.

The Shocking Scale of 10 Gigawatts

To grasp the sheer magnitude of this announcement, it’s essential to contextualize what a gigawatt represents. As the video’s host explains, powering just one gigawatt of compute infrastructure is roughly equivalent to the output of one typical nuclear reactor. This new OpenAI NVIDIA partnership is aiming for at least ten of them.

This massive undertaking, representing millions of GPUs, is designed to power OpenAI’s next-generation AI infrastructure, leading to a fierce reaction from competitors and industry leaders alike.

Elon Musk Enters the Fray

The announcement immediately sparked a competitive fire. When a tech account on X asked, “What does this mean for xAI? Are we cooked?” Elon Musk was quick to respond.

Musk declared that just as his company, xAI, will be the first to bring a gigawatt of coherent training compute online, they will “also be the first to 10GW, 100GW, 1TW, …” This bold claim solidifies the narrative of an escalating AI arms race, with compute power as the ultimate weapon.

AI Boom: Are We at the Top of the Bubble or Just Getting Started?

This massive influx of capital and resources brings a critical question to the forefront: is the AI industry at the peak of a bubble, or is this just the beginning of an exponential climb?

• The “Bubble” Theory: Some analysts believe we’re at the top of the hype cycle, and the market is about to pop. They point to potential bottlenecks like energy, regulations, and permits as major hurdles that could halt progress.
• The “To the Moon” Theory: On the other hand, industry titans like Elon Musk, NVIDIA’s Jensen Huang, and OpenAI’s Sam Altman and Greg Brockman are betting big that we are just getting started. They see the current state as the bottom of an S-curve, with monumental growth still ahead.

As Greg Brockman stated in a CNBC interview, “We’re three orders of magnitude away from where we need to be.” This implies that even a 10GW cluster is just a fraction of the compute power they believe is necessary for future AI development.

The Energy Challenge: Can We Power the Future of AI?

The single greatest challenge to this vision is energy. Building out terawatts of compute power requires an astronomical amount of electricity. A look at global power production reveals a potential problem, especially for the US.

While China’s electricity generation has skyrocketed over the past two decades, production in the U.S. and E.U. has remained relatively flat. Sam Altman directly addresses this, noting that “other countries are building things like chips fabs and new energy production much faster than we are, and we want to help turn that tide.”

Sam Altman’s Vision: The Machine That Builds the Machines

In a recent blog post titled “Abundant Intelligence,” Sam Altman lays out a vision that goes beyond just building datacenters. He argues that as AI gets smarter, access to it will become a fundamental driver of the economy, perhaps even a “fundamental human right.”

To meet this future demand, Altman proposes an audacious solution:

Our vision is simple: we want to create a factory that can produce a gigawatt of new AI infrastructure every week.

This concept of a “factory that builds factories” is mind-bending. For perspective, Elon Musk’s xAI took approximately six months to build its 1.1GW “Colossus 2” cluster—a feat considered incredibly fast. Altman is proposing to build a similar-sized cluster every single week. This “machine that builds the machines” would require unprecedented innovation at every level, from chip design and power generation to robotics and logistics.

Altman’s personal investments in energy companies, including nuclear fusion startup Helion Energy and micro-nuclear reactor company Oklo, show he is putting his money where his mouth is. He understands that solving the energy problem is the literal key to unlocking the future of AI.

Conclusion: A New Era of Compute

The OpenAI NVIDIA partnership isn’t just a business deal; it’s a declaration of intent. It signals a future where compute power is the most valuable resource on the planet. While the path forward is fraught with immense challenges, particularly in energy and regulation, the brightest minds in the industry are convinced that we are on the cusp of an era of abundant intelligence. The only question is, how fast can we build it?

In a stunning glimpse into the future of software development, OpenAI has released a monumental upgrade to its AI programming tool. The new OpenAI Codex, powered by a model named GPT-5-Codex, isn’t just an incremental update; it represents a fundamental shift towards fully autonomous, “agentic” coding. This isn’t about simple code completion anymore—it’s about giving an AI a complex task and watching it work independently for hours to deliver a finished product.

 Four separate OpenAI Codex agents running complex tasks at the same time.

What is GPT-5-Codex? A New Era for AI Programming

OpenAI is officially calling its new model “GPT-5-Codex.” It’s a version of GPT-5 that has been specifically optimized for what they call “agentic coding in Codex.” This means the model was trained with a focus on real-world software engineering workflows, enabling it to handle long, complex tasks with minimal human intervention. It can power through interactive sessions, catch critical bugs before they ship, and work tirelessly in the background.

One of the most significant aspects of this release is its broad availability. GPT-5-Codex is now the default model for cloud tasks and code review, and developers can access its power directly on their local machines through a new Command Line Interface (CLI) and IDE extensions.

How to Install and Use the New OpenAI Codex CLI

Getting started with the new agentic tool is surprisingly simple. You can install it globally on your machine using npm. Just open your favorite terminal (like PowerShell or Terminal) and run the following command:

$ npm i -g @openai/codex

Once installed, the tool will log you into your OpenAI account, and you’ll be ready to start building. Inside the CLI, you can select the model you want to use, including different reasoning levels for GPT-5-Codex (low, medium, high) to balance speed and depth of thought.

Key Capabilities That Make GPT-5-Codex a Game-Changer

This upgrade introduces several powerful features that separate it from previous coding assistants.

 You can learn more about how these underlying technologies work in our AI Technology Explained section.

• Persistent, Autonomous Execution: During testing, OpenAI saw GPT-5-Codex work independently for more than 7 hours at a time on large, complex tasks. It iterates on implementations, fixes its own test failures, and delivers a successful result autonomously.
• Seamless Cloud & Local Workflow: You can start a project on your local machine, then delegate a long-running task to the cloud. The AI agent will continue working while you’re away, and you can check in on its progress from anywhere, even your phone.
• Enhanced Efficiency: The model is designed to allocate its “thinking” more intelligently. It’s up to 10x faster for easier queries but will think 2x longer for the hardest queries that benefit most from more compute, ensuring a smarter use of resources.
• Multi-modal Understanding: Like other advanced models, you can now use images to guide the AI. You can provide a screenshot of a design and ask Codex to build it, or circle a UI bug in an image and simply tell it to “fix this.”
• Self-Correction with Browsing: As it builds for you, the new OpenAI Codex can spin up its own browser, look at what it built, identify issues, and iterate on the code until it matches the requirements.

 A complete, multi-page website with a retro ’90s theme, built from scratch by Codex.

Putting GPT-5-Codex to the Test: 4 Impressive Projects

To see what the new tool could do, several projects were created using only natural language prompts. The results are nothing short of incredible.

1. YouTube Analytics Tool

The first task was to create a Python script that uses the YouTube Data API. The script needed to fetch data from a specified channel, calculate the likes-to-views ratio for recent videos, and display the results in a bar chart. Codex successfully wrote the script, handled the API calls, and even generated a PNG file of the final chart.

2. Interactive Voice Modulator

This project was a web app that modulates a user’s voice in real-time. Using a webcam, it tracks the user’s left and right hands. The left hand controls the voice pitch (raising or lowering it), while the right hand controls the “wetness” or reverb effect. After a few iterations to fix an audio output issue, the agent built a fully working, interactive web tool.

3. Retro Sci-Fi Website

Codex was tasked with building a complete, animated website for a fictional company called “NovaMind” that sells “superintelligence.” The agent designed a stunning ’90s video game aesthetic with a parallax starfield background, animated elements, a functional pricing section, testimonials, and multiple linked pages (like Privacy and Careers). The entire project, from HTML structure to complex CSS animations, was handled by the AI.

4. Hand-Controlled Flappy Bird

Perhaps the most challenging test, Codex was asked to build a Flappy Bird clone where the player controls the bird by flapping their hand in front of the webcam. Using Python and libraries like Pygame and MediaPipe for hand tracking, the AI successfully built the game. It required the “high” reasoning model to complete, but it flawlessly integrated game logic, collision detection, and real-time video processing to create a playable game.

 For the full technical details, you can read OpenAI’s official announcement post.

Conclusion: The Future of Development is Here

The latest OpenAI Codex upgrade is a massive leap forward. It lowers the barrier to entry for software development, allowing anyone with an idea to create a functional prototype with incredible speed. For experienced developers, it acts as a tireless partner that can handle complex, long-running tasks, freeing them up to focus on higher-level architecture and creativity. While we’re still in the early days of agentic AI, it’s clear that the way we build software has changed forever.

Wordwall is a powerhouse tool for educators, beloved for its ability to quickly create engaging quizzes, games, and printables for the classroom. With its new AI content generator, it’s become even more powerful. However, you might have noticed that the AI feature isn’t available on every activity template. But what if we told you there’s a simple yet brilliant Wordwall AI trick that lets you bypass this limitation and use AI-generated content for almost any activity type? In this guide, we’ll walk you through the secret method to supercharge your resource creation.

The Challenge: Limited AI Access in Wordwall

When you go to “Create Activity” in Wordwall, you’ll see a fantastic array of templates like Match up, Quiz, Crossword, and Unjumble. The new AI feature, marked by a “Generate content using AI” button, is a game-changer. Unfortunately, it’s currently only enabled for a select few templates, such as “Match up.” If you select a template like “Crossword” or “Type the answer,” you’ll find the AI option is missing.

This can feel limiting, but don’t worry. The solution doesn’t require complex workarounds; it just requires knowing how to leverage Wordwall’s own features in a clever way.

The Ultimate Wordwall AI Trick: A Step-by-Step Guide

The core of this method is to generate your content in an AI-enabled template first and then transfer it to the template you actually want to use. It’s a simple, three-step process.

Step 1: Generate Your Content with an AI-Enabled Template

First, start by creating an activity using a template that does have the AI function, like Match up. This will be your starting point for generating the core content.

1. Log in to Wordwall and click Create Activity.
2. Select the Match up template.
3. Click the ✨ Generate content using AI button.
4. In the pop-up window, describe the content you want. Be as specific as you like regarding the topic, language level, and number of items. For example, the video creator used this effective prompt to create a vocabulary exercise:

Can you generate a list of adjectives in English with the opposites. I want something at level B2 in English so upper-intermediate type vocabulary.

5. Click Generate. The AI will quickly populate the keywords and definitions for your Match up activity.

Step 2: Switch the Template to Your Desired Activity

Now that your content is generated, you don’t have to stick with the “Match up” game. On the right-hand side of the screen, you’ll see the Switch template panel. This is the key to the entire Wordwall AI trick.

1. Once your activity is created, look at the Switch template panel on the right.
2. Click on Show all to see every available activity type.
3. Now, simply select the template you originally wanted to use, such as Crossword.

Wordwall will instantly take your AI-generated list of words and their opposites and reformat them into a fully functional crossword puzzle, complete with clues! You’ve successfully applied AI-generated content to a template that doesn’t natively support it.

Step 3: Duplicate and Save Your New Activity (The Pro Move)

You’ve switched the template, but to keep both the original “Match up” and the new “Crossword” as separate activities, you need to perform one final, crucial step.

1. Below your new crossword activity, click on Edit Content.
2. A dialog box will appear. Instead of editing the original, choose the option: Duplicate Then Edit As Crossword.
3. This will create a brand new, independent copy of the activity. You can now rename the title (e.g., from “Adjectives and Their Opposites” to “Crossword – Adjectives and Their Opposites”).
4. Click Done to save.

When you check your “My Activities” folder, you’ll now have two separate resources: the original Match up game and the new Crossword puzzle, both created from a single AI prompt. You can repeat this process for quizzes, word searches, anagrams, and more!

Enhancing Your AI-Generated Activities

Once your content is in place, don’t forget about Wordwall’s other great features to make your activities even better:

• Add Audio: In the content editor, you can click the speaker icon next to a word to generate text-to-speech audio. This is fantastic for pronunciation practice in language learning.
• Set Assignments: Use the “Set Assignment” button to easily share the activity with your students. You can get a direct link or a QR code, making it perfect for both in-person and online classrooms.

Conclusion: Supercharge Your Teaching with Wordwall AI

The Wordwall AI trick is a powerful way to maximize efficiency and create a wide variety of high-quality teaching resources in a fraction of the time. By starting with an AI-enabled template, generating your core content, and then using the “Switch template” and “Duplicate” features, you can unlock the full potential of AI across the entire Wordwall platform. Give it a try and see how much time you can save on lesson preparation!