The Moment I Stopped Playing Around With Suno and Started Actually Working In It
There’s a line between messing with AI music and making AI music. I crossed it without noticing, and it changed how I hear everything I build.
There’s a line between messing with AI music and making AI music. I crossed it without noticing, and it changed how I hear everything I build.
I’ve made over a thousand songs with Suno. The ones that surprised me most weren’t the best ones technically, they were the ones that told me something about myself I wasn’t expecting.
Switching from ChatGPT to Claude wasn’t about which AI is smarter. It was about figuring out what I actually need from a tool versus what I’d just gotten used to.
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.