ChatGPT Atlas is scheduled to stop working Aug. 9, 2026. Users should export browser data, verify account access, and test replacement workflows before uninstalling it.

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OpenAI’s three education plugins help teachers and college students create lessons, quizzes, study plans, and other materials with ChatGPT.

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Leaked Google Pixel 11 marketing materials suggest a new HiLight notification feature, while a five-minute charging claim raises questions ahead of Google's launch.

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Texas paused grid approvals for new data centers as power requests hit 474 GW. Here’s what developers and IT leaders should expect.

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The Open Secure AI Alliance introduced SAFE guidelines and open agent-security tools at Black Hat, giving enterprises a framework for safer AI deployment.

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APAC companies are spending heavily on AI, but KPMG says only 5% have established ROI with demonstrated business outcomes.

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Apple could launch camera-equipped AirPods before the end of 2026, using visual sensors to give Siri greater awareness of a user’s surroundings.

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Google Health now sends Fitbit workouts, sleep, steps, and vitals to Apple Health, removing the need for third-party syncing apps.

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Google canceled its AI Studio mobile app one day before launch despite 800,000 pre-registrations and plans to move app-building features into Gemini.

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Oracle is funding its AI data center expansion through corporate financing, customer-supplied hardware, and developer-level loans. Enterprise buyers still need to verify delivery dates, power dependencies, and contract protections before committing to future OCI capacity.

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Apple's September 2026 event could bring the iPhone 18 Pro, Apple's first foldable iPhone and new Apple Watches. Here's what the most credible rumors suggest.

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South Korea plans a KIC investment account for AI, data centers, chips, and strategic industries, but the government has not set its funding size.

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At some point in their life, almost everyone has picked up a guitar, struggled with a C chord for ten minutes, and quietly put it back down. The fingertip pain. The out-of-tune strings. The YouTube tutorial that somehow assumes you already know what a fret is. Learning guitar has always had a steep and slightly humiliating entry curve, and most of us just gave up. The TemPolor Melo-D thinks that’s a problem worth solving, and the design it came up with is genuinely hard to ignore.

Designed by inDare Design Strategy Limited, the Melo-D is billed as the world’s first generative AI guitar, and even that description barely scratches the surface of what it actually is. On the outside, it looks like a guitar that a product designer and a tech enthusiast co-parented together. The body is sleek, the finish is pearl white, and it has a foldable build that makes it compact enough to take almost anywhere. But the real story is what happens when you turn it on.

Designer: inDare Design Strategy Limited

The neck is embedded with LED lights that illuminate exactly which notes to press, removing the guesswork for beginners entirely. A built-in 2.4″ LCD flip screen on the body handles chord guidance and ambient visuals without you ever needing to prop up a phone nearby. These feel like small details, but they represent a real design philosophy: the instrument itself should carry the full experience. You shouldn’t need a separate ecosystem of apps and accessories just to get started.

What makes the Melo-D genuinely interesting is the AI engine running underneath all of it. The guitar operates in three modes: solo, sing-along, and AI creation. In AI creation mode, you can hum a melody and the guitar transcribes it into a guitar solo. You can type a text prompt and it generates a song. Upload an audio file and it converts the music into playable tabs or chord charts. It even generates personalized backing tracks using emotional tags, so the sound starts to feel like yours rather than something borrowed from a practice app.

The “AI everything” wave has made it easy to be skeptical every time a product slaps the word generative onto its marketing. But the Melo-D doesn’t read as a gimmick dressed up in smart-instrument clothing. The six-string silicone system allows for real, note-by-note playing, which means it isn’t just a toy approximating the feel of music. It’s an actual instrument with training wheels you can choose to remove. The goal isn’t to replace the skill of playing guitar. It’s to lower the barrier enough that more people actually get through the door.

inDare’s design work here deserves its own mention. The studio, known for thoughtful human-centered industrial design, brought a lot of restraint to a product that could have easily become overcrowded with features. The foldable form factor, the integrated flip screen, and the silicone strings all feel like deliberate decisions, not afterthoughts. The Melo-D has also earned recognition at the iF Design Awards, which makes sense, because from a design standpoint it reads as a product with a clear and confident point of view rather than a collection of specs looking for a shell to live in.

At $599, it’s available for pre-order now with an expected ship date in September 2026. For a piece of hardware this layered, that number asks you to take it seriously, which feels appropriate for what it’s trying to do.

Learning guitar used to mean a real commitment: years of practice, a teacher, calluses, patience, and a certain willingness to sound terrible for a while. The Melo-D isn’t trying to skip all of that, but it is offering a more honest entry point for people who actually want to try. Whether you’re a complete beginner or someone who has quietly given up on the guitar more than once, it meets you where you are. And sometimes, that’s exactly the invitation you need to actually show up.

The post The $599 AI Guitar That Finally Makes Playing Easy first appeared on Yanko Design.

Meta CEO Mark Zuckerberg says AI is helping engineers build apps faster, but the company has not disclosed its tools or measured productivity gains.

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