Post by ester225 on Mar 27, 2024 17:07:14 GMT 10
Over time, you learn to abstain from using AI. I’m at this stage now. You then use this tool as one of the sources for producing images, mixed with stock photos and also more personal images, and to avoid using them systematically. Of course, this won’t stop billions of users producing these gaudy, horrific images. But a more reasoned use of the machine can free us from these atrocities, and by rediscovering our technical skills and mixing several tools, we can find true creativity (combining, tearing apart, recombining, etc.). All this to say that the ‘revolution’ will not take place, or rather that it will take place, but certainly not to the extent that we imagine today, and provided we wait (10, 15 or 20 years) and live long enough to witness the impact and true use of these platforms.
Such impact will be undeniable for some Australia Email List uses — like picture generation — and much more debatable for others, in particular the generation of stochastic texts. I know that some people will be disgruntled and will dismiss my predictions. Most of them will. Year after year Internet and social media pundits predict new technical revolutions. Our History of technology books are full of the stories depicting these failed technological upheavals. I apologise for this, sincerely. But I’m not going to indulge in this exercise, which makes no sense whatsoever. I realise; however, that truth is less spectacular than fiction. People love their own dreams, this is precisely one of the things what will make humans better than machines.
The learning curve that governs qualitative marketing studies is pivotal if you want to avoid ending up with mountains of useless data. What’s more, the kind of data produced by marketing studies is unstructured and complex. Gathering too much of it will also inevitably lead to soaring costs. Our simple methodology based on the experience curve of qualitative studies is a good starting point for making the most of these studies. What’s more, it’s a good means of improving effectiveness.
Such impact will be undeniable for some Australia Email List uses — like picture generation — and much more debatable for others, in particular the generation of stochastic texts. I know that some people will be disgruntled and will dismiss my predictions. Most of them will. Year after year Internet and social media pundits predict new technical revolutions. Our History of technology books are full of the stories depicting these failed technological upheavals. I apologise for this, sincerely. But I’m not going to indulge in this exercise, which makes no sense whatsoever. I realise; however, that truth is less spectacular than fiction. People love their own dreams, this is precisely one of the things what will make humans better than machines.
The learning curve that governs qualitative marketing studies is pivotal if you want to avoid ending up with mountains of useless data. What’s more, the kind of data produced by marketing studies is unstructured and complex. Gathering too much of it will also inevitably lead to soaring costs. Our simple methodology based on the experience curve of qualitative studies is a good starting point for making the most of these studies. What’s more, it’s a good means of improving effectiveness.