AI Juggernaut OpenAI and Fashion Titan Condé Nast Strut into a Data Partnership
“OpenAI and Vogue publisher Condé Nast forge data partnership”
“Artificial Intelligence research lab OpenAI and Vogue publisher Condé Nast are collaborating on a data partnership. Under the deal, OpenAI will help Condé Nast develop machine learning initiatives and improve its recommendation engine.”
Oh joy, the marriage we’ve all been waiting for. Vogue’s publisher, Condé Nast, and AI research lab OpenAI have decided to put their brains together. What does this mean? It’s not a fashion-forward robot modeling the latest couture (although, that would be far compelling). Nope, it’s a data partnership. The details are just as exciting as it sounds, OpenAI will assist Condé Nast in birthing machine learning initiatives and turbocharging its recommendation engine. So instead of a well-dressed bot, we’re getting an algorithm that tells us what to read next.
This neatly packaged partnership is indeed a testament to the staggering heights artificial intelligence has achieved. An AI research lab dancing hand in hand with a global media powerhouse – it’s like a tech prom, sans the corsages. Excuse the lack of fireworks, but it’s a bit elusive to think that in a world obsessed with social media algorithms, privacy concerns, and the hullabaloo of big data, this grand alliance is the best we got.
Don’t get it wrong, it’s not that the collaboration isn’t impressive. It is, in its own peculiar way. It signals increased use of AI throughout all industries, even those we don’t typically associate with machine learning like fashion and media. But when we’re lost in the charm of everything fancy-schmancy tech, let’s not forget that we’re merely talking about a more efficient way to push reading recommendations. And not to burst any bubbles, but sharpening the “You may also like” feature isn’t exactly new-age revolution.
So, here’s to a future where machine learning recommendations decide what we indulge in next. May the ‘readers’ and ‘fashion enthusiasts’ prepare for an optimised reading list that doesn’t necessarily reflect what you want, but what an algorithm thinks you should want. And who knows, maybe with all this data churning, there’s still hope for that fashionista bot.