Good morning, AI enthusiast.

Apple's latest hardware event just dropped a major AI feature into one of its most popular products. The new AirPods Pro 3 now come equipped with powerful, real-time language translation capabilities, powered by its new Apple Intelligence suite.

The move packages a complex AI capability into a simple, everyday utility for millions of users. With this integration, is Apple setting a new standard for how AI should be delivered to consumers—not as a standalone app, but as a seamless feature within the hardware they already own?

In today’s AI recap:

• How we saved $18,000 / year by automating our design team (watch here)

• Apple's AirPods add live translation

• Google Veo targets vertical video

• Robinhood's AI-assisted coding shift

• NVIDIA's AI factory reference design

• 8 trending AI Tools

Apple's Translating AirPods

The Recap: Apple unveiled the new AirPods Pro 3 at its latest hardware event, introducing a powerful live language translation feature. The update showcases a significant step in embedding practical AI into everyday consumer devices.

Unpacked:

• The new earbuds allow you to hear a conversation in another language with near-instantaneous playback in your preferred language.

• This capability is powered by Apple Intelligence, the company's branded suite of AI technologies integrated across its operating systems.

• The launch comes as Apple works to solidify its AI position while facing talent competition from rivals like Meta.

Bottom line: This feature makes real-time translation accessible to a massive user base, turning a complex AI task into a simple, everyday utility. It represents Apple’s strategy of leveraging its hardware ecosystem to deliver tangible AI benefits directly to consumers.

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AI Tools of the Day

1. 🎬 Veo 3 - Generate stunningly realistic short videos from a single prompt with perfectly synchronized sound effects and dialogue.

2. 🧊 Next3D - Instantly transform text prompts or 2D images into production-ready 3D models for games, e-commerce, and creative projects.

3. 💎 Diamond - Supercharge your development workflow with an AI that reviews pull requests to find bugs and security issues before they merge.

4. 🤖 Tasker AI - Deploy autonomous AI agents that connect to your apps to automate complex tasks like research, scheduling, and email organization.

5. 🎨 PromeAI - Magically transform your rough sketches into photorealistic renders and professional designs in a wide variety of artistic styles.

6. 🛡️ Blur ID - Protect your privacy by automatically detecting and blurring faces or sensitive text in photos entirely on your device.

7. 🌐 Hyperbrowser - Run thousands of headless browser instances in scalable containers to automate web data extraction and bypass advanced captchas.

8. 🎵 Domusic.ai - Create completely original, royalty-free songs with custom lyrics and AI-generated vocals simply by describing the music you want.

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Google's Veo Goes Vertical

The Recap: Google's Veo 3 AI video generator just received a major update, adding support for vertical video, 1080p resolution, and significantly lower generation costs for developers.

Unpacked:

• The new 9:16 aspect ratio support is specifically designed for mobile-first content, positioning Veo-generated videos to flood social media platforms like TikTok and Instagram Reels.

• Generation costs have been slashed, with Veo 3 dropping to $0.40 per second (down from $0.75) and the faster Veo 3 Fast model cut to just $0.15 per second.

• The update also boosts output quality to 1080p HD, a jump from the previous 720p limit, though this higher resolution is currently only supported for traditional 16:9 videos.

Bottom line: This update makes creating professional-looking, mobile-ready AI video more accessible and affordable than ever. Expect to see a wave of AI-generated content optimized for your social feeds as developers and creators adopt these new capabilities.

AI Training

How We Replaced our $18,000 Design Agency with AI (for Blog Images)

The Recap: In this video, I use ChatGPT image generator and Nano Banana to build a workflow that can generate new blog header images that perfectly match the branding and aspect ratio for our company's blog posts! We used to pay a design agency $18,000 per year to handle all of this design work for us, and now it costs us NOTHING.

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Robinhood's AI Workforce

The Recap: Robinhood CEO Vlad Tenev announced that a minority of the company's new code is written by humans, highlighting a major shift where nearly all of its engineers now use AI coding assistants.

Unpacked:

• The adoption of AI editors at Robinhood is close to 100%, with engineers using a range of tools from GitHub Copilot to more advanced systems like Cursor and Windsurf.

• Tenev noted a significant evolution from simple autocomplete features to more "agentic" editors where AI writes nearly all of the code, making it difficult to distinguish from human work.

• This widespread AI use has delivered a huge internal impact, helping the company stabilize costs and boost efficiency across teams from software engineering to customer support.

Bottom line: This level of adoption at a major fintech company signals that AI-assisted programming is quickly becoming the new industry standard. The focus is shifting from simply writing code faster to fundamentally altering how software is designed, built, and maintained.

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NVIDIA's AI Factory Vision

The Recap: NVIDIA is partnering with industrial giants like Siemens and Schneider Electric to release a reference design for a new class of data centers called “AI factories.” The new Omniverse Blueprint provides a holistic approach to building infrastructure that is optimized specifically for AI workloads.

Unpacked:

• NVIDIA’s approach flips the traditional model where data centers are designed independently of the computers they house, instead engineering power, cooling, and compute as a single, unified system.

• The core of this vision relies on digital twins, allowing designers to build and simulate an entire AI factory in the virtual world using physically accurate, simulation-ready assets before any physical construction begins.

• This is not a solo effort; it’s a massive collaboration with partners across the entire stack, from power generation and cooling to design and simulation.

Bottom line: This initiative signals a major expansion for NVIDIA beyond selling chips into providing the full-stack blueprint for the next generation of computing infrastructure. For enterprises, this offers a more efficient and de-risked path to building the massive facilities needed to power large-scale AI.

The Shortlist

Microsoft to use Anthropic's models to power new features in its Office 365 suite, signaling a move to diversify its AI providers beyond its primary partner, OpenAI.

Anthropic enabled file creation and editing within Claude.ai for paid users, allowing the model to generate ready-to-use spreadsheets, documents, and PDFs from conversational prompts.

IDC forecasts that global AI spending will reach $1.3 trillion by 2029, driven by a 31.9% compound annual growth rate as enterprises and service providers build out agentic AI platforms.

An engineer created Cursed, a fully functional programming language that uses Gen-Z slang for keywords (e.g., slay for func), by running Anthropic's Claude in an automated loop for three months.

Signing off,

David, Lucas, Mitchell — The Recap editorial team