Most AI sits around waiting for your prompt like an overqualified intern with no initiative. But Agentic AI? It makes plans, takes action, and figures things out—on its own. This isn’t just smarter software—it’s a whole new kind of intelligence. Here’s why the future of AI won’t ask for permission.

Based on the article "Agentic AI - When the Machines Start Taking Initiative" by Markus Brinsa.

https://lnkd.in/gqNMYaDZ

Hosted on Acast. See acast.com/privacy for more information.

Everyone wants “ethical AI.” But what about ethical data?

Behind every model is a mountain of training data—often scraped, repurposed, or just plain stolen. In this article, I dig into what “ethically sourced data” actually means (if anything), who defines it, the trade-offs it forces, and whether it’s a genuine commitment—or just PR camouflage.

This episode is based on the article "Between Idealism and Reality - Ethically Sourced Data in AI".

https://lnkd.in/gBBVJi6b

Hosted on Acast. See acast.com/privacy for more information.

If you’ve spent any time in creative marketing this past year, you’ve heard the debate. One side shouts “Midjourney makes the best images!” while the other calmly mutters, “Yeah, but Adobe won’t get us sued.” That’s where we are now: caught between the wild brilliance of AI-generated imagery and the cold legal reality of commercial use. But the real story—the one marketers and creative directors rarely discuss out loud—isn’t just about image quality or licensing. It’s about the invisible, messy underbelly of AI training data.

And trust me, it’s a mess worth talking about.

Based on the article "Adobe Firefly vs Midjourney - The Training Data Showdown and Its Legal Stakes" by Markus Brinsa.

https://www.linkedin.com/pulse/adobe-firefly-vs-midjourney-training-data-showdown-its-brinsa-w5vmc

Hosted on Acast. See acast.com/privacy for more information.