In short
Podcast Summary: Marketing School - Episode #2440
Episode Title
How AutoGPTs Will Change Business & Marketing
Episode Description In this episode, Neil Patel and Eric Siu discuss the transformative potential of AutoGPTs in the realms of business and marketing. AutoGPTs have the capability to function autonomously without human assistance, enhancing efficiency and streamlining tasks. The episode shares examples of AutoGPTs, their applications in marketing, and speculates on the future regulation of these technologies.
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Key Takeaways
What are AutoGPTs?
- Definition: AutoGPTs are advanced AI models that can autonomously interact and generate prompts without ongoing human intervention.
- Difference from ChatGPT: While ChatGPT requires effective prompts and user guidance, AutoGPTs can self-prompt, making them more efficient in achieving desired outcomes.
Efficiency and Capability
- Increased Efficiency: AutoGPTs streamline processes by reducing the need for constant human input and enabling faster resolutions to problems.
- Learning Mechanism: They learn from interactions, discerning users' goals to provide comprehensive solutions more quickly.
Examples of Use Cases
- Content Transformation: AutoGPTs can adapt content for different cultural contexts (e.g., translating a talk into Mandarin and localizing it).
- Creative Applications: They can modify narratives, music, and even video game content for varied audiences.
- ChaosGPT Example: A tongue-in-cheek reference to an AutoGPT designed for dark humor, showcasing both the creative and potentially dangerous aspects of AI.
Risks and Concerns
- Bad Actors: The episode highlights the potential for misuse of AutoGPTs, with concerns of malicious applications emerging.
- Need for Regulation: Discussion on the necessity for regulations to prevent misuse, with references to proposed guidelines from legislators aimed at ensuring responsible AI deployment.
Future of Marketing with AutoGPTs
- Impact on Marketers: AutoGPTs can significantly aid marketing professionals by providing quicker, more accurate insights and solutions, aligning with the marketer's goal of resolving customer issues efficiently.
- AI Regulation: As AI technology evolves, regulatory measures will likely increase to ensure ethical usage and transparency in AI applications.
Public Perception of AI
- Diverse Opinions: The episode notes varying perceptions of AI's value across different cultures, with Americans generally more skeptical compared to higher positivity rates in India and China.
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Episode Structure
- Introduction: Overview of the episode's topic.
- Recap of Previous Episode: Brief mention of the last topic discussed.
- Definition and Functionality of AutoGPTs: An in-depth explanation of their autonomous capabilities.
- Examples and Applications: Exploration of how AutoGPTs can be utilized in various contexts.
- Discussion on Risks and Regulation: Insight into potential dangers and the call for regulatory measures.
- Conclusion: Encouragement for listeners to engage with the evolving AI landscape.
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Resources Mentioned
- Websites:
- [Marketing School](https://www.marketingschool.io)
- Social Media:
- Neil Patel on Twitter: [@neilpatel](https://twitter.com/neilpatel)
- Eric Siu on Twitter: [@ericosiu](https://twitter.com/ericosiu)
- Articles:
- Axios scoop on AI regulation
- Sam Altman’s blog and Twitter
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Feedback Listeners are encouraged to provide feedback on topics they'd like to see covered in future episodes or share their experiences with AI in marketing.
Call to Action
- Subscribe and engage with the community for more insights on the evolving landscape of marketing and AI.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Welcome to Marketing School, the only podcast that provides daily top-level marketing tips and strategies from entrepreneurs that practice what they preach and live what they teach. Let's start leveling up your marketing knowledge with your instructors, Neil Patel and Eric Su.
0:20All right, so we're going to talk about how auto GPTs will change business and marketing forever. So in the last episode, listen to how we believe search is going to change quite a bit. We've kind of led into this episode on auto GPTs. And first let's define chat GPT first. So chat GPT, for those of you that don't know, it's the chat interface where you can ask a questions. You can ask it to repurpose something for you, summarize something for you. You can ask it for tax advice if you wanted to give you tax advice. And the thing from a couple months ago when ChatGPT was released was, oh, the whole idea that in order to get ChatGPT to function well, you have to ask good questions.
0:57And so this whole new role, like humans like to be creative, right? We're like, okay, what's gonna happen in the future is we're gonna need these prompt engineers where they just continue to ask good questions, ask good questions. Well, that might change a little bit now with auto GPTs. And what auto GPTs are, they are the ability for gpts to talk to each other to communicate with each other and basically to auto prompt each other so once you ask it one question such as hey help me take over the world or help me make a billion dollar business it'll just keep going down the list and it might take you from the beginning to the end with much less human assistance required what are your thoughts yeah i think it's amazing from the aspect of it's learning so when people are prompting and they're asking questions.
1:41And when you are, it's learning, what are you trying to solve for? Like what's the end result you're trying to achieve? And it's trying to figure out what you need to know every little thing in between. So that way it can just help you get to the end result faster. And this is just making things just more efficient. And why wouldn't they do this? Who wants to keep asking more and more prompts at the end of the day, you're just looking for an answer to your problem or you're looking to get a specific solution. And if they can help you get there faster, it's a win-win. Yep. So let's talk about some examples here.
2:16So for example, if I am playing, let's say Neil's teaching in India or something, and I want to take his talk and translate it over into Mandarin and put my face on it. So I become a superstar in China or something, that's possible. And let's say if Neil's kids, he has two kids, Emma and William, now teaching them some folklore about Confucius, for example, he's Chinese, but he can change Confucius into like an Indian superstar or something. And so you can do a lot of these things now where he can change the music, you can change video games, you can change everything. And here's another one. I don't know if you heard about this one.
2:55You probably did, Neil, But Chaos GPT, so Chaos GPT, it was kind of done as a tongue in cheek type of application. And it was a created GPT basically saying, hey, why don't you just go ahead and create something that will eliminate humanity and make sure you delete yourself after or delete yourself after that's done. Right. And then it starts to create all these prompts. And so there's a really good segment on this with the All In podcast. I believe it's episode 124 or so. and the first 30 minutes, the hosts, I mean, who are all investors in their own right. And there are some of them are operators in their own rights.
3:27They're talking about the implications behind this because now the ability to say, Hey, like Neil and I aren't necessarily hackers, but I remember when I was eight or nine years old, I used to download these hacking tools where I can like go into my friend's computers and open their CD-ROM drives or download files or like play around with their mouse. Now that kind of brings me back to that memory. Like I just clicked for me. It's like, oh my God, it's going to be that easy to pull nefarious stuff. And you better believe there are bad actors out there. So I believe business and marketing will change.
3:55There's going to be good actors as well. But fundamentally, the cost of innovation and the cost of getting things done now is going to decrease quite a bit. I'm not too worried about the bad actors. You're going to see a lot of these companies like the open AIs of the world set parameters and rules so that way people can't use the technology for abuse. And I'm not saying it's going to be perfect. You're still going to get some bad actors. But overall, you're going to see a lot of these platforms control some of those things. And you're going to start seeing governments step in and make sure that people aren't abusing and trying to really hurt others.
4:28Just like if you hack and you do mischievous things, depending on what you're doing, and I'm not a lawyer, you could potentially go to jail and there could be some crazy ramifications for it. But going back to auto GPT, it's pretty much learning. At the end of the day, why should you have to be good at prompts and type in tons of things to get the answer that you're looking for when it can just end up giving you the solution? And if you think about marketing, your goal as a marketer is to help people solve their problems as fast as possible. Whatever people have issues with or whatever answers they're looking for, the faster you can get them to the end result, the better off you're going to be.
5:11The final thing I'll leave off with is the, I actually have listened to a couple of Sam Altman interviews and he's very much worried about safety, but regulations coming. And so I was reading this Axios piece yesterday about one of the senators, his name is Sherman, I believe his last name is Sherman. So details here, he says potential regulations from Congress would be focused on four guard rails geared towards ensuring responsible AI requiring the identification of who trained the algorithm and who its intended audience is disclosure of its data source explanation for how it arrives at its responses transparent and strong ethical boundaries so schumer's guidelines I should say or schumer's guidelines are focused on transparency and making sure people understand what's behind the AI that's spitting out a paragraph of text helping sort their social algorithms or scanning their face at the airport so this stuff is coming I do believe we're gonna to see some crazy stuff happening from bad actors.
6:03And I believe though it's a net positive for humanity. You know what's an interesting thing, Neil, as we work towards wrapping up here, is only 38 % of Americans think that AI is a net positive, whereas 78 % of the Indians and the Chinese people believe it's a net positive. So your mileage may vary. Thank you for what it is. But I do believe, Neil and I both believe, I was actually just in a text group right now asking, I was like, hey, who here wants to do a mini, like a micro mastermind that will disband in a few weeks, but just to talk about how we're using AI for our companies and sharing some of the learnings.
6:37And a lot of people raised their hands in there. So that is what it is. Like, try to learn as much as you can. Try to experiment as much as you can so you don't fall behind. Anything else, Neil? That's it. All right. Don't forget to rate, subscribe, and subscribe to us on YouTube as well. Share the videos. It helps us grow. And we will see you later. We appreciate you joining us for this session of Marketing School. Be sure to rate, review, and subscribe to the show. And visit marketingschool.io for more resources based on today's topic, as well as access to more episodes that will help you find true marketing success.
7:13That's marketingschool.io. Until next time, class dismissed.
7:25Thank you.

