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Tag: AI

Any guesses who’s next up on the creative chopping block? It might be musicians. When traditional artists saw what Dall-E and Midjourney were doing to the world of digital art, many of them panicked and pushed back. The AI art boom is still going, and now the next wave of Artificial content is on the rise. Meet AI generated music – algorithms are stripping lyrics and vocals from popular artists and handing over the tools to anyone who cares to learn how to use them. This means that the Drake song you’re hearing might not be sung by Drake. Anyone with a keyboard can co-opt Beyonce. Like with other legal disputes within the sphere of Artificial Intelligence, there are no guardrails in place yet. But we might see some interesting developments in the next generation of music: namely, artists may seize this opportunity to make some cash, and any blossoming musician might be able to sound just like their heroes.
The future of relationships is looking mighty strange, folks. About a decade ago, it was a little funny to hear that a couple had met online and were going strong. “How are you supposed to make genuine connections through the internet?” was a common enough question. Then online dating and matchmaking became deliberate, and apps like Tinder and Plenty Of Fish took off. According to statistics, almost 40% of couples today met digitally. So what will the future hold? There’s a new trend emerging in the world of URL-to-IRL romance – one where the partner isn’t a real person at all. Does this signal the rise of one-sided relationships? Or will the trend collapse and be nothing more than an internet historical footnote? One thing is clear: the traditional guidelines for dating are becoming more blurred than ever.
We promise we’re not obsessed with AI – but it’s taken another step that we couldn’t ignore. More specifically: into the world of higher education. 📜👩‍🎓 With college students bogged down in assignments and extracurriculars, some of them have found a clever (and morally dubious) workaround: using Artificial Intelligence to write their papers for them, shaving precious hours from their workload. But are these methods appropriate? And will the institutions draw a line in the sand? Even more interestingly – will they be able to stop it, even if they want to?

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