Submitted by AdditionalPizza t3_zkb5hz in singularity
Acidic-Soil t1_izyy7h7 wrote
I think most of these tools will be easy to use, the easier to use it is, the more marketable it is. Facebook is not hard to use for most people, even our granny started using it, it is the mentality of not wanting to use it, the idea of "the good old days" being better.
If what you describe is true, the only way to stay relevant is to learn how to build these tools. Unfortunately the most advanced modern AI are almost exclusively based on large datasets that only certain privileged people and big organisations with great data harvesting potential have access to, so most people won't get the chance to build these AIs, even if they have the skills to (very bold assumption).
mootcat t1_izz47sl wrote
Indeed. Sam Altman (Open AI CEO) had spoken on these exact topics multiple times.
He doesn't think prompt engineering will really be a job/skillset in the future as models get better at predicting what we want. Perhaps eloquence and an ability to accurately convey what one wants will be more important, and even that less so with eventual neural integration.
Edit: I forgot to add that he HAS spoken on how he expects custom training specific models off of bigger ones is likely to be a very fruitful industry. Given how prohibitively expensive creating LLMs from scratch are, it's probably our best bet at being involved.
AdditionalPizza OP t1_izz7ujr wrote
>He doesn't think prompt engineering will really be a job/skillset in the future
I agree with this too. But I'm not talking about 5 years from now, I'm talking about next year and the year after. The opportunities are coming now. I stated it in the post too, prompting will likely be a thing of the past before it ever really becomes a thing in the first place. I don't suggest "learning prompting" exactly, I suggest learning what AI can do for you now, and thinking about what it can do in the short term before it's totally ubiquitous. Before there's no new land to discover.
When I talk to people about how incredible smartphones and the internet are to people, all they every think about is a camera, social media, and a calculator. They simply skim over the fact you have access to most human knowledge in your pocket at all times. We still have that persistent "don't pull your phone out when talking to someone" mentality that comes across as rude or ignorant. We can literally look up any word someone uses, any reference to a a historical event, a song we want to remember, a formula, etc. We can use our phones to multiply our intelligence, yet so many times you can be talking with someone and they have zero inclination about a certain problem or task they come across when the answer is probably on the internet. We still have the problem of people believing information without fact checking it, and they assume social media is factual.
While all that stuff can currently be learned, it is important to learn how to use AI now while it's still ground zero for takeoff. AI will not magically make everyone accustomed to it, you will have to still make an effort to learn it to maximize its potential. The type that refuse to fact check will continue to do so and slip further away from being able to climb out of an echo chamber.
spacedrace t1_izzh2w3 wrote
Looking at your phone while talking to someone is rude. Don't zoom so far out you forget your manners sir or madam. :).
AdditionalPizza OP t1_izzhpt2 wrote
Well yes, but it depends on the situation. Dinner with a spouse, yes rude and probably unnecessary. While following a recipe and talking to your spouse during dinner preparation, it's an extension of your mind and capability.
There's probably better examples.
spacedrace t1_izzivnu wrote
Ignore me, I'm giving you a hard time, I'm getting old, good advice overall. I hadn't heard of characterai I'm going to check that out.
AdditionalPizza OP t1_izz00rm wrote
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
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
>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.
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