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For more than ten years, the chip inside your Windows laptop came from one of two companies, Intel or AMD. Nvidia just walked back into a market it abandoned over a decade ago, and it did not come quietly. Its new RTX Spark chip claims a full petaflop of AI compute and packs data-center technology into something thin enough to carry, shipping this fall in laptops from Dell, Lenovo, and Microsoft. The company that already powers most of the world's AI training now wants a seat inside the machine on your desk. Let's dive in!

In today’s insights:

  • Nvidia Brings RTX Spark Chip to Windows

  • Google Flow Can Now Plan Your Whole Film

  • OpenAI Brings Remote Codex Control to Windows

Read time: 4 minutes

LATEST DEVELOPMENTS

Evolving AI: Nvidia is putting its Blackwell-powered RTX Spark chip into Windows laptops.

Key Points:

  • RTX Spark pairs a 20-core Arm CPU with a 6,144-core Blackwell GPU on a single chip.

  • First laptops arrive this fall from Dell, Lenovo, and Microsoft's Surface line.

  • Nvidia claims one petaflop of AI compute, marking its return to PCs after a decade away.

Details:

The RTX Spark chip fuses a MediaTek Arm processor with a Blackwell GPU, and the two share a single pool of 16GB to 128GB of memory, so the system can load large AI models without a separate graphics card. Nvidia built it on TSMC's 3nm process to hold power draw between a few watts and 80. That efficiency is how a thin laptop reaches performance near an RTX 5070 GPU. It runs Windows on Arm and clears Microsoft's Copilot+ bar, with premium models leading the rollout and cheaper ones to follow.

Why It Matters:

The idea behind RTX Spark is that your laptop stops waiting around for instructions. With enough power on the machine itself, an AI agent can work quietly in the background, sorting email or chasing a bug while you get on with your day. None of that holds up if the model lives on a far-off server. Nvidia is betting people will want a computer that does some of the work without being asked.

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Evolving AI: Google built a reasoning agent into Flow that plans a film start to finish.

Key Points:

  • Built on Gemini, it holds the context of an entire project as you build it.

  • It can brainstorm dialogue, suggest plot turns, and generate several versions of a scene at once.

  • It batch edits, then organizes and renames your finished assets, with you still in control.

Details:

Google's AI filmmaking tool Flow now runs a Gemini agent that works alongside you across a full project. Describe an idea in plain language and it helps shape the story, offering a second opinion or a fresh direction when you get stuck. It handles the slow, repetitive work that usually eats up an afternoon. And it never decides anything on its own, since every choice still goes through you.

Why It Matters:

Flow already crossed 100 million videos, so the clip itself is cheap now. The value has moved into the planning, the edits, and the cleanup, and that is where Google aimed the agent. Sora shut down because the numbers never worked, and the tools left standing are circling that same stretch of the workflow.

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Evolving AI: Codex can now be run on a Windows PC straight from your phone.

Key Points:

  • Windows users can now start and steer Codex tasks from the ChatGPT app on iOS, Android, or a Mac.

  • Codex can also operate Windows desktop apps directly, seeing the screen and typing on its own.

  • Remote control and computer use were Mac-only before this release.

Details:

A linked Windows machine now does the work while you stay on your phone. You launch a task from the ChatGPT app, approve each step, and watch screenshots as Codex runs. On the machine itself, computer use runs in the foreground, so the agent takes over the cursor and screen for the length of a job. That suits work the code alone cannot prove, like clicking through a desktop app to reproduce a bug or check a setting.

Why It Matters:

With more than four million weekly users, Codex sits in a broader race to put agents inside the tools people already open. Reports this year show firms running several vendors' agents at once, each picked for a job. Reaching Windows quietly puts that race where the bulk of the world's software gets built.

👀 Watch tip

This video from Anthropic follows the teams whose job is to break the AI, uncovering vulnerabilities, safety risks, and unexpected behaviors before users ever see them. It shows how frontier AI companies increasingly rely on dedicated red teams and adversarial testing to find problems that standard benchmarks would completely miss.

👀 Click on the image you think is real

QUICK HITS

🐉 China's MiniMax M3 puts frontier coding, 1M context, multimodality in open weights.

🎤 Ronny Chieng tells Harvard grads their mission is to "destroy AI".

📉 Bain says AI spend is racing ahead of the returns it was supposed to deliver.

💴 ByteDance may pour $70B into AI, funded from $50B 2025 profit.

📈 Trending AI Tools

  • 🗣️ Wispr Flow - Voice-to-text AI that turns speech into clear, polished writing in every app*.

  • 🛎️ AskYura - No-code AI that executes customer service tasks.

  • 💻 OpenAI Codex - Cloud-based AI coding agent that ships software autonomously.

  • 🐳 DeepSeek - Open-source AI models and free chat assistant.

 *partner link

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