AI author OpenAI has revealed a golden opportunity for those who need to turn the use of ChatGPT and GPT-4 into a lucrative business.
Yes, that’s right, we might make a lot of money. In short, a new feature known as GPT gives you a great chance to go from being a simple hobbyist or fun user of generative AI to earning cash for your online business. job. Also, whether you need to do it full-time or just part-time is completely up to you.
In today’s column, I’ll lay out what this new OpenAI announcement predicts and how you can take advantage of the major disruption that has occurred. Then it’s up to you what to do next.
Let’s go.
Time is up.
Capable of designing miniature generative AI applets like GPT
Well, OpenAI refers to this exciting new feature as the ability to create GPT.
This is how they describe it:
The way to think about those GPTs is that they are traditional or miniature versions of ChatGPT.
Step by step, it happens like this.
You move on to ChatGPT and make a special setup based on anything you know or anything you think others need to know. You keep the example. Your newly designed GPT becomes a kind of miniature applet. Think of it as some kind of standardized application that others can run (in the ChatGPT environment). All I had to do was enter activations into the ChatGPT consultant to move it in a specific direction of action and then carry out administrative responsibilities that turn the example into an executable applet that others can use in the ChatGPT environment.
The merit of all this is that there are around a hundred million active users of OpenAI products, so there is an integrated market in a position to use their imagined concoction. OpenAI will have an online store where the selected GPTs will be indexed. for your use. Every time someone chooses to use your designed GPT, you and OpenAI will get a percentage of the profits generated. OpenAI takes care of hosting your GPT online and all the behind-the-scenes cash raising. Receive praise that is proportional to how you use your GPT and based on other points (they haven’t specified which payment formula to use yet).
You don’t want to have programming skills to get things done. All you need are the essentials of generative AI. The rest is pretty undeniable.
By the way, you may have heard of a movement in the software sector towards no-code software development. The concept is to allow non-programmers to create systems or programs without having to know how to write code. These GPTs are just like that. If you’re already familiar with the undeniable acts of input activation in ChatGPT or any generative AI, you know what you want to know. Forget about software programming courses that are on your tedious to-do list.
OpenAI describes it this way: “Anyone can create their own GPT without any hassle – no coding is required. You can create them for yourself, just for your company’s internal use, or for everyone. Creating one is as undeniable as starting a conversation, giving it more commands and knowledge, and choosing what it can do, such as searching the web, creating images, or analyzing data. “
I know it sounds too easy.
A vital caveat is that if you continue to design one or more of those revenue-generating GPTs, you should know that it’s best to do so wisely. It takes more than luck to succeed. I strongly recommend you, for example, that you at the very least be informed and use appropriate incentive methods for generative AI, as I have covered extensively in my ongoing series; Check out the link here to get started. You’ll want to write correct and outdated activations to design a GPT that other people will want to use. Rapid engineering will be your closest and most productive friend.
Here’s the definition of what I’ll cover next. I’ll provide you with specific tips to get started. I will also share with you the obstacles to consider. Do your best to aim and avoid falling into many terrible traps.
Things you know or things other people need to know
A sensible way to think about what your GPT will do is to keep those 3 main considerations in mind:
Let’s start with the first point, which is a technique that involves things you already know.
Are you someone who knows a specific area of business or a specialized skill set?If so, you may need to create a GPT based on your foundation of experienced wisdom and lived experiences.
That said, you don’t want to have a superior skill set. I realize that your first impression might be that only if you’re a rocket scientist would you want to use a GPT you’ve designed.
This is the case.
Suppose you play Minecraft a lot and have honed your gaming skills related to the popular online video game. You can move on to ChatGPT and create an example that includes triggers that tell ChatGPT how to advise someone who needs to optimize their Minecraft methods and tactics. After that, then double-check on ChatGPT to see how well ChatGPT was given what you stipulated. Assuming you then think that the end results are something that others might find useful while playing the game, you identify your new GPT accordingly.
The long-awaited hope is that among the hundred or so million users of OpenAI products, some will need to use their GPT. Your audience is probably other people who are already fans of Minecraft and need to expand their gaming skills. or other people who are new to Minecraft and need to upgrade with a convenient generative AI applet that advises Minecraft.
I’ll give you an example to make your head spin.
Over the years, a plumber has continually learned all kinds of tactics to fix a clogged sink. Most of the time, a homeowner can fix the jam himself, but he doesn’t know how to do it. People can search the web to locate it. Find out how to fix a clogged sink. The challenge is that the published data can be quite generic and not particularly useful in a given extreme situation.
A GPT may be created on how to fix a clogged sink. Also, because it uses generative AI, the GPT would routinely interact and ask the user what kind of sink they have, how it got clogged, what equipment they have, etc. Advice on helmet repair would be tailored to the circumstances. It’s much more enjoyable to browse than just searching for a generic post on the internet.
We can up the ante with the example of plumbing. Other new features are coming online, such as the ability to capture a camera symbol and ask generative AI to review the symbol. It’s big. A user takes a picture of their clogged sink and the pipes under the sink. If generative AI must process vision, it can read up on symbols and refine advice on what to do. It has gone from the user having to write a description of their sink and instead asking the AI to analyze the situation of the sink problem 22 through damaged photos.
I hope you understand what I mean by taking advantage of the things you know.
Next, let’s talk about things other people need to know.
It’s pretty clear on those days that other people want dating advice, for example. Tons of social media influencers have come out of nowhere to become high-paying dating influencers. Some of them are true experts and have specialized education or have earned notable educational degrees in the field. Others only talk about the school of hard blows after having had a multitude of damaged dates. It turns out that almost anyone can be a dating counselor on those days.
The most important thing here is that you can search diligently and intelligently to identify anything that other people need to know. Once you’ve learned of a possible interest that requires guidance or direction, you’ll prepare by seeking to get up to speed on the topic. . Do it enough to access ChatGPT and direct it in the direction of that advice or doleading. There you have it, then you create a GPT on it.
Finally, the third option.
I mentioned earlier that you can GPT on things you know or GPT on things other people need to know. Ideally, you should be successful in either lane at the same time.
Here’s what I mean.
If you’re designing a GPT about something you’re comfortable with, but the topic is rarely something other people are interested in, have a GPT that not many other people choose to use. This means you probably won’t make much money with GPT. I don’t mean to discourage you from that. Your GPT may still be useful to other people and very attractive for design. Pursue your passions. Help the world.
On the other hand, if you’re designing a GPT based on something that other people seem to need to know, you’re likely to get a lot out of it. Use, in turn, will generate benefits. The thing is, if you’re not familiar with the topic, one wonders how smart GPT will be. A lightweight GPT that doesn’t have a lot of intensity may not be used. Your attempt to circumvent the experience in anything can result in a GPT glitch.
You have the photo.
The most productive thing would be to be able to know anything that other people also need to know. I dare say that this is not necessarily the case most of the time. You never know what other people might need to know, even if the things you know are popular or promoted in the media lately. There is a moderate chance of having an inactive topic that sparks interest and suddenly and unexpectedly goes viral.
Forward.
You are going to participate in a Darwinian GPT competition
So far, you’re pretty positive about this new feature of GPT. I am happy. Please keep a positive attitude while shifting gears a bit.
I have observed that there are caveats to consider. Come on, the alarm.
Surprise: Many other people are likely to build GPT.
You’re the only one who does this.
Also, and this is the potentially overwhelming and mind-boggling difficulty, you’ll probably want OpenAI to approve publishing your GPT on its store. To clarify, you don’t want it to be posted to you for other people to use your GPT. Otherwise, you can make it public. The challenge here is that you’ll also have to market your GPT on your own. I’m sure this will work sometimes. The nicest angle would be to list your GPT on the official OpenAI GPT store, which will also give your GPT an aura of grandiose respectability.
This is what OpenAI has to say about the GPT Store:
I bet getting your GPT in the GPT Store will be a way to go.
If your GPT looks like thousands of others, why is your GPT included instead of a similar one?
Once a specific niche is filled, it can be tricky to argue that your GPT is larger than a headline. It can also be assumed that a part of the selection process for the GPT Store will be to not have many obvious duplicates that do the same thing. thing. This would seem reckless and would make other people doubt the effectiveness of the GPT Store.
My is:
While the GPT Store is most likely the most productive place for your GPT, it’s not everything. You may become known because of a GPT that is not in the GPT store that you made public and that miraculously captures the public’s attention. Then you can turn that fame into other opportunities to make money.
Please keep this happy face situation in mind in the dark days related to your GPT concepts and design.
Upcoming GPT Examples to Explore
Some examples of GPT will be published through OpenAI.
Assuming you already have ChatGPT, you may need to take a look once they are released. This might give you some ideas about how they work and motivate you to design your own GPT.
The other thing is that seeing the examples can make you realize that there is nothing extraordinary about them. Let me expound. It’s tempting to assume that only something prestigious would be worthy of being created like GPT. This is not what will happen, at least at first.
My most productive assumption is that, at first glance, we’re going to have all kinds of everyday GPTs. After the initial mad dash to design GPT, bombarding the world with so-called AI “agents” (terminology related to those types of AI applets), efforts will expand into more off-the-beaten-path areas. Simple themes will be defeated during the first wave. The most complicated or aberrant issues will remain intact and on viable ground.
Here is a review of some examples that would supposedly be indexed on the OpenAI blog:
It sounds vanilla if you know what I mean.
You can see some examples without delay depending on your OpenAI account: “Today you can get examples of GPT for ChatGPT Plus and Enterprise users to try, adding AI actions from Canva and Zapier. We plan to offer GPT to more users soon. ” (ibid. ).
You will have to follow the rules, otherwise you will be kicked out.
I have bad news, although I think I see the practical logic involved.
First, most users of ChatGPT and GPT-4 (and other generative AI applications) seem to be unaware of the fact that they agreed to an AI-related licensing agreement when they signed up to use generative AI. that AI brands periodically list all sorts of prohibited uses that you are not allowed to adopt with your generative AI, please see the link here.
I mention this because you take a look at the list of forbidden things before you start designing your GPT.
There is no point in creating a GPT that OpenAI immediately rejects as prohibited use. Even if you don’t access the GPT Store, if you make your GPT publicly available, chances are that one way or another OpenAI will find out about it. If your GPT does things that are on the banned list, the AI creator would possibly shut down your GPT and other consequences are specified in their usage policies.
Here’s what OpenAI officially says about GPT and its policies:
As you can see, the AI maker is expanding its surveillance. Before, other people might have been making forbidden uses, but they were the only ones who saw their example anyway. Now, with the ability to make a GPT publicly available, the AI maker’s skill has been increased. You may have also noticed that an “information” line can be used to report concerns about an express GPT.
I abundantly and loudly assert that usage policies exist for very wise reasons. Don’t try to avoid them. Don’t pretend to be wise and use nonsense to follow the rules. Readers of my column know that I constantly insist on the importance of having a guilty AI; Please see, for example, the link here and the link here.
Be guilty and believe GPT that they are for the world.
Don’t get caught up in malicious AI.
Privacy and the factor of those GPTs
If you took a moment to think deeply about GPTs, you come up with a idea that may just be disconcerting.
It’s here.
Let’s say you’re a GPT that someone designed. Do this and enter user data into the GPT. Does the user who designed GPT have access to their user data?I dare say that if this happened, other people would avoid GPTs like a plague. You would potentially disclose facets of the user and not necessarily know who will get it and what they could do with it.
The answer is complicated.
Let’s see what OpenAI says in its post:
There’s a lot to unpack. In short, anyone who uses a GPT will want to perceive its characteristics and perceive how its configuration comes into play in this matter.
For example, I noted in my column that, depending on the privacy settings you choose, you may allow the AI author to necessarily access the activations you type into ChatGPT; Check out my research at the link here. These activations can potentially be noticed through the AI developers are AI developers or AI testers and can optionally be used for further education on generative AI data.
My rule of thumb that I tell other people is that you generally deserve to avoid entering personal data into any generative AI. You’re safer to avoid doing this. Unfortunately, I’ve noticed that other people’s generative AI goes out of their way and provides all sorts of personal data that they deserve not to reveal. It’s easy to fall into this trap because generative AI is so friendly and engaging.
I just wanted to make sure this important point is on your radar.
Liability as your possible legal exposure due to compensation as
I will make an observation on this.
In my previous columns, I warned that using generative AI can get you in legal trouble if you design a generative AI app that provides recommendations, and someone perceives that the recommendation has caused harm; Check the link here. You see, someone can just use your generative AI application and then turn around and sue you. They will legally try to argue that their generative AI application gave them a bad recommendation and that you will have to compensate them for any damages and negative repercussions that result.
This hasn’t happened specifically because most people simply use generative AI and don’t create programs based on generative AI. There’s not much chance of this kind of horny legal scenario happening.
GPTs will provide enough for such possibilities.
A Pandora’s box is about to open.
Consider this (I’ll return to an earlier example). A plumber designs a GPT. Someone uses GPT to fix their clogged sink. The GPT tells the user to remove the rear hose. The user respects the advice. The water floods your kitchen and completely destroys the beloved kitchen floor as well as other pieces of the kitchen. The user fervently believes that the GPT gave him bad advice.
Who will this disappointed user sue?
You may think that there is no point in suing since it is the user who got rid of the pipe and will be guilty of their own actions. Blaming GPT is crazy. Well, all I can tell you is that our world has gone crazy when it comes to processing. Maybe the user will have the lawsuit dismissed or maybe they will win. We will have to see how these problems evolve.
Back to the question of who to sue.
The plumber who created the GPT turns out to be a very likely target moving forward. Of course, the amount of money you can charge from a typical plumber is probably not high (despite the potentially astronomical costs of having a plumber come to your home). home). Therefore, the alleged “aggrieved” user will retreat to sue the AI maker (the big cash holder).
This is where a reversal of the scenario comes into play in this case. I noted in my columns that, as part of the licensing agreement, you regularly agree to compensate the AI maker for legal action against you for anything you have done; check out my research. at the link here.
Let’s go back to the plumber’s fate. The supposedly “injured” user sues the plumber and the AI manufacturer. The AI manufacturer invokes the indemnity clause and insists that the plumber will have to pay all legal prices incurred through the AI manufacturer. Yes!
As a general rule, be sure to consult with your attorney when drafting a GPT which can also cause you legal problems. Ultimately, we will enter a realm of untested legal headaches with the arrival of TPG. You may never get involved in legal matters. problems. Or you can simply give an example of a precedent-setting court case.
I predicted that lawyers would gradually and inevitably expand their legal scope to encompass problems that combine artificial intelligence and law; Please see my policy at the link here and at the link here. That day may be faster than it seems.
Go with all the comforts for your GPT
The preponderance of the other people who will design the GPTs will be other people who are not versed in rushed programming or other hard-to-understand software progression skills. But if you’re a smart software developer, you can use your smart skills to convert GPTs. on anything far beyond what a user can simply create.
Feast your developer eyes on those OpenAI announcements:
The important thing is that these 3 paths occur:
First, we will have masses and many normal users creating GPT. In the meantime, we’ll have a number of high-level developers who will also design GPT. Both sides make sense, and we can expect smart things from each side.
I also anticipate that we will see the formation of groups. An ordinary user, a specialist or professional in a certain field, will marry a high-level developer who can blackmail and trigger the designed GPT. This increases the chances of GPT skillfully emerging above others. Competitive GPT. The real question will be what percentage of revenue money generated through GPT. I suggest you inform yourself in advance. Waiting after the fact is often tedious and only leads to costly legal battles.
Either way, if you form a team, do so consciously and safely.
Companies that adopt GPT internally are also companies.
The above description of GPTs has focused on one expected use of GPTs, which is to take your GPT to market and pursue globally identified fame and fortune.
There is a way to consider it.
Let’s say a company uses ChatGPT in a professional capacity. The company may need to design GPT for internal use only. Perhaps designing a GPT for the financial branch would be beneficial for the company’s financial affairs. Perhaps the marketing arm can also use a GPT to help them in their efforts. And so on. .
Here’s what OpenAI says about GPT’s uses:
I do this for several reasons.
If you work within a company and the company uses ChatGPT across the company, you may want to see if you can participate in an internal effort to create GPT. It would be a great experience for you. You can seamlessly upload it as an active item on your resume. In addition, we hope it will make your painting efforts more stimulating and engaging.
For those of you who are part of a company using ChatGPT Enterprise, but if you are a high-level developer, you may need to consider designing GPT that you could potentially sell or license to companies that own the product. Be sure to consult with your legal beagle for information on how to proceed without causing legal problems.
Conclusion
Connoisseurs know that the ability to customize or adapt generative AI is anything that has already been implemented across an organization of startups and technology companies. In this sense, many of those suppliers or vendors are a little disturbed because they have already made progress on this. area and yet many seem to realize that (in their eyes) it is more than just a reinvention of the wheel.
I don’t need to sound harsh, but the 600-pound gorilla has already spoken, and you have to be informed to live with the thunderous implications.
I compare this to well-known operating systems that in the past loaded new features provided through third-party providers or vendors, such as virus scanning, etc. Some of those providers have been eliminated. Their assets are barely necessary. Others manage to stay in the game. Many are pivoting or looking to stay ahead of what the big whale is doing. Etc.
Another view is that the arrival of the ability for everyday users to customize or adapt generative AI is a smart sign that we might be democratizing AI; Please see my policy on this hot topic at the link here. The concept is that everyone else can advise and expand on the direction that AI is taking. This is desirable, a counterargument is that if those other people do it based entirely on a specific AI offering, it doesn’t seem like that much of a democratization. as it would be preferable to imagine.
These are deep-minded and for now we can do something more immediate.
The ability to create custom or tailored generative AI has rich potential, whether you do it in this case or for what other AI manufacturers plan to offer. Turn your hours of gaming with generative AI into money. You’ll be glad you did and your wallet will thank you for your efforts. Unlike the gold rush, it is not advisable to buy shovels or pickaxes.
You just want to focus on the task and pass it online.
It is good to do heavy work carefully.
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