The AI Hype Train Needs Better Brakes
After two years of breathless AI headlines, it’s time for a reality check on what this technology actually does well and where it falls flat on its face.
After two years of breathless AI headlines, it’s time for a reality check on what this technology actually does well and where it falls flat on its face.
An in-depth look at the technology, the copyright wars, and the centuries-old tradition of telling regular people they have no business making music.
Everyone’s rushing to strike it rich with AI, but most are digging holes where there ain’t no gold. Here’s why the real opportunities are hiding in plain sight.
AI music generators like Suno are changing the game faster than a moonshine runner on back roads. But is artificial intelligence killing creativity, or just democratizing it?
Local AI isn’t just coming to your home lab — it’s already here, and it’s changing everything from how we manage our infrastructure to creating music in ways that would make our granddaddies scratch their heads in wonder.
We’re living through the most exciting and terrifying time in music history, where machines can craft melodies that’ll make you weep or headbang. Let’s talk about what’s really happening in the AI music frontier.
After six months of GitHub Copilot and ChatGPT in my daily workflow, I’ve learned when AI coding tools help and when they hurt. The results might surprise you.
Everyone’s talking about AI like it’s the second coming of sliced bread, but let’s take a step back and separate the wheat from the chaff in this wild west of artificial intelligence.