AdditionalPizza OP t1_izz00rm wrote on December 12, 2022 at 9:55 PM

Reply to comment by Acidic-Soil in I think this post will be monumentally important for some of you to read. Put it in your brain, think about it, and get ready for the next few years. If you are part of this Subreddit; You are forward thinking, you're already ahead of the curve, you will have one shot to be at an advantage. NOW. by AdditionalPizza

They are easy to use on the surface, but using them currently for things you didn't think were possible is more difficult. Just the habit of always using them. The more you know about using them now, the more it will help in the future. It's like any skill, the more you use it the better you will get and there's no real substitute for that. Facebook is the same way, people use it differently, though it has its limitations because it's not exactly open-ended software, some people are inherently more practiced with it. Grandparents post on their grand kids wall or in random comments to ask things that should've been a private message, for example.

The window will probably be short until it is much easier to prompt and get what you want. But more importantly is learning what you can do with them before everyone else catches on or before you fall behind. There's a whole foundation of knowledge to learn about using AI and probably in the near future there will be more and more emergent abilities of AI that can be harnessed by those that keep up with it. Writing software with it might be possible very soon, and previously you needed a wealth of knowledge to do that. When everyone can do it, the head start will diminish. So you'd rather already be ahead and on to the next emerging thing, instead of learning from the beginning.

edit: had to fix some text

Acidic-Soil t1_izz2ufc wrote on December 12, 2022 at 10:14 PM

There is marginal returns in training the ability to use a specific tool. If you have as technologically illiterate as my granny, yes, learning how to use the internet and send a private message would make a huge difference to your life, but given that the majority population, at least in places where internet access is universal, already have a lot of experience using various internet tools, whether it is web pages, mobile apps or games, and the interface of these AI tools, at least in the current world, are not that different from another app or another website. Spending more time on FB at this point is unlikely to bring you any advantage, unless you are a business owner trying to use FB to market your product, but then, you are learning digital marketing, not using FB. Your skills of making good videos and graphics on your FB page will transcend through platforms. Even if people decide to stop using FB and use Tiktok only, the skills you gain from making those videos are transferable.

The problem with using AI tools is that, there is no universal skill of making them doing what you want. If you master the art of making chatbot A respond to what you want, it is very unlikely that chatbot B will do the same when you apply the same techniques. It is because different AI tools might have very different underlying architectures and trained on different datasets, but you don't have access to these information, so you will never know when to apply pre-existing assumptions about AI tools.

AdditionalPizza OP t1_izz4mry wrote on December 12, 2022 at 10:26 PM

>Spending more time on FB at this point is unlikely to bring you any advantage, unless you are a business owner trying to use FB to market your product, but then, you are learning digital marketing, not using FB.

You could argue the majority of the population has no sense of privacy settings, or general thoughtfulness toward privacy of themselves or family/friends. While using FB in general is not private toward the corporation or 3rd parties sharing your information (another lesson), there is an important lesson in sharing personal details, opening spam links, etc. You can say that transcends using FB and applies to many applications and I'd agree. As I would say that also applies the same with AI. Plenty of things will transcend between different AI, they already do.

>It is because different AI tools might have very different underlying architectures and trained on different datasets, but you don't have access to these information, so you will never know when to apply pre-existing assumptions about AI tools.

See I disagree. We may not have access to the structural processes behind the AI, but like FB (maybe Instagram or Youttube are better examples) people constantly learn to "game" the new algorithms. People learn new settings, people learn new strategies. It may seem so simply to us now, pulling up Google and searching something, but in 1999 we had to learn it. We will have to relearn how to use the internet alongside AI. Plenty of people will fall behind and just skim the surface of what's possible. Underestimating the potential "muscle memory" of practicing with AI is the entire point of my post.

Even using AI now, the learning curve is quite steep if you start adjusting them with the parameters we're given access to. For example, we have sliders in TTI models. There's plenty to learn, and plenty to watch for in the pipeline for the future. I think dismissing it will be a disadvantage for anyone that is currently still on top of everything to date.