Ep 135: The Future of ChatGPT: What It Means

  • 1 Nov, 2023
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In the fast-paced world of technology, artificial intelligence (AI) continues to revolutionize the way we work and interact. One remarkable advancement in this field is the ChatGPT (Generative Pre-trained Transformer) system, which enables conversational interactions with large language models. As mentioned in a recent episode of the Everyday AI podcast, hosted by Jordan Wilson, the future implications of ChatGPT are both exciting and transformative, particularly in terms of enhancing collaboration in the workplace. This article explores the potential impact of AI-powered collaboration tools and how they are poised to shape the way businesses operate in the future.

Enhancing Collaboration with Language Models:

Jordan believes that the future of work will involve a mix of remote, hybrid, and in-person settings, making collaboration a crucial aspect of productivity and innovation. However, traditional language models like ChatGPT have limitations when it comes to collaboration and sharing information. To address this, OpenAI is expected to release more collaborative tools akin to Google Docs, enabling real-time collaboration on a single platform.

The Importance of Collaboration in the Digital Age:

Jordan predicts that by 2024, collaborative tools will become indispensable for businesses to maintain competitiveness in the market. The ability to work together seamlessly, regardless of physical location, has never been more critical. As a business owner or decision-maker, incorporating AI-powered collaboration tools into your organization can streamline workflows, foster creativity, and boost productivity.

Affordability and Accessibility:

While the potential of AI-powered collaboration tools is immense, it is crucial for these technologies to be affordable and accessible for developers. The speaker emphasizes the need for OpenAI to make their API (Application Programming Interface) more accessible, enabling developers to build their own customized products and services. This affordability factor ensures that businesses of all sizes can leverage the power of AI in their collaboration efforts.

The Impact on Business Functions:

The podcast episode highlights various use cases of ChatGPT in different industries, including marketing, content creation, and data analysis. Companies are already utilizing the conversational capabilities of AI models for tasks such as image generation, voice interactions, and advanced data analysis. By integrating AI-powered collaboration tools into everyday business functions, companies can make informed decisions, streamline processes, and enhance customer experiences.

Staying ahead with Multimodal AI:

Jordan also emphasizes the importance of multimodal AI – the ability to input and output text, photos, videos, and other formats within a single chat interface. This approach, as demonstrated by language models like ChatGPT, is a significant step towards achieving artificial general intelligence (AGI). The future of the internet interaction, according to the speaker, will involve true multimodal conversations that revolutionize how we communicate and collaborate online.


AI-powered collaboration tools, such as ChatGPT, present an exciting opportunity for businesses to enhance productivity, streamline workflows, and foster innovation. As a business owner or decision-maker, it is essential to stay informed about the advancements in this space and explore ways to integrate AI into your organization’s collaboration efforts. The future implications of AI-powered collaboration are vast, and by embracing these technologies, businesses can unlock their full potential and gain a competitive edge in the digital age.

Topics Covered in This Episode

1. Timeline of ChatGPT Development
2. Features and Use Cases of ChatGPT
3. Announcement of Future ChatGPT Updates
4. Discussion on Remote Work and Collaboration

Podcast Transcript

Jordan Wilson [00:00:15]:

If you think you know Chat GPT, think again. There’s some recent releases and leaks that aren’t just new features, but it’s going to change the way that we all even use Chat GPT. So we’re going to tell you about some of those new features, functionalities leaks, and more on today’s episode of Everyday AI. Welcome. My name is Jordan Wilson. I’m your host and Everyday AI is for you.

Jordan Wilson [00:00:48]:

This is your Daily Livestream podcast and free daily newsletter, helping everyday people like you and me learn and leverage AI. So we’re going to be talking today a lot about ChatGPT, a little bit, kind of a brief history lesson. Also some updates that have come over the last month or two. But most importantly maybe, is some recent leaks that have just started circulating, that have started circulating in the last couple of days. And we’re also going to kind of project the future for ChatGPT. So as a reminder, if you’re new here, please go to your Everydayai.com sign up for the free Daily newsletter where we keep you in the loop, not just with what’s going on in the world of AI news, but also if this episode is helpful, we’re going to break it down in a much more detailed level. All right? And also a little bit of a switch up today. This is kind of pre recorded, but we’re also debuting it live.

Jordan Wilson [00:01:47]:

Don’t worry. So I’ll be in the comments answering any questions that you have, but I’d love to know. And this is not just for our live stream audience, but for the podcast audience as well. Make sure you check out the show notes. And we always leave a link back to subscribe to the newsletter, but to also join in the conversation that’s what we’re trying to do at Everyday AI is to build the world’s largest community of AI enthusiasts who are learning and working together. So tell me, what do you think of the future of ChatGPT? Well, I’ve got some hot takes, so make sure you stick around for those. But let’s just go ahead. Let’s go ahead and dive in.

Overview of new unofficial features in ChatGPT

Jordan Wilson [00:02:27]:

And this is also, even if you use ChatGPT every single day, I think today’s episode is going to be especially helpful for you because we’re going to go over a brief timeline of everything that has happened so far in everyone’s favorite chatgpt. It’s your favorite, right? Are you more of a Bard or Bing chat or maybe Anthropic Cloud? But let me know. But let’s go ahead. Let’s just dive straight into it and let’s take an overview of what’s new, okay? And when I talk about what’s new, it’s important to keep in mind that some of this is unofficially official, right? The way chat, ChatGPT and OpenAI Works is they release things in batches, right? And sometimes they start to kind of roll out new features in very small waves without even making an announcement on these. So some of these things, and I’ll make sure to describe them as we go along, so some of these things are kind of unofficial. OpenAI has not released all of these things yet. However, many users have already reported these that are already being tested in the wild. So keep that in mind.

Jordan Wilson [00:03:43]:

These may be available for you. I always tell people, like, log out of your ChatGPT account, clear your cookies, clear your cache, because sometimes you might get access to these a little sooner that way. So let’s talk about what’s technically new. All right, so there’s one that I’m extremely excited about, which is all tools mode, okay? That’s number one. Number two is apparently reportedly the knowledge cut off has been moved, has been updated. There’s some mixed reports about this. We’re going to get into that here in a second. And then also kind of what’s new is a big announcement, presumably.

Jordan Wilson [00:04:20]:

So November 6, OpenAI is having their developer conference, where there’s a couple of things that are already expected, but we’re going to talk also about some things that they may announce or at least talk about kind of where we think ChatGPT is headed. All right? Does that sound good? Are you all ready to get into this? Maybe? I’m a dork. I’ve done probably looking back at it, at least 60 plus live streams and podcasts on ChatGPT. Our team has even been using the GPT technology since I believe it was either late 2020, early 2021. So we are very hands on. I usually start and end my day in ChatGPT, right? So from the morning, I have a couple of prompt that I run every single day before I start the everyday AI show. And even in bed sometimes if my mind is racing and I can’t sleep, I get on ChatGPT on my phone and do some research and try to learn some new things. So spend a lot of time in ChatGPT.

History of GPT technology

Jordan Wilson [00:05:27]:

But let’s go over a little bit here of the history, all right? The history of GPT. Okay? So that’s important to know. So let’s talk about that. GPT is the model. So GPT. One GPT-2. GPT-3. 3.54 et Cetera.

Jordan Wilson [00:05:47]:

Right? So in early 2021, that’s when we really got the first official taste of OpenAI’s GPT, large language model, right? So that’s when some of those first early models started to roll out and become commercially available. So that’s even when our team started to use these. So I’ll kind of probably use the term here, wrappers, right? Which is not meant to be a disrespect to any of these companies that are creating great products. But essentially how this works. And if you’re not familiar, I’m going to try to explain it to you. But OpenAI, the maker of ChatGPT, has an API, and any company, you and me, could go and do this tomorrow, but essentially any company can apply and get access to their API and bring some of the core functionality of the GPT large language model to its own consumers. And you can do your own training on it. You can add your own features, your own functionality, right? So some of them are just strictly what people would call wrappers.

Jordan Wilson [00:06:59]:

They maybe make a couple of modifications to the GPT model, do a little training, slap a couple of features, and they call it a full fledged product. And then there’s also those that I think have created enough differentiation that they are full blown products, right? So that’s important to know. But essentially late 2020, early 2021 is when we started to see some of these wrappers, some of these GPT products being released. Some of the earlier, more popular ones that we used a lot were Jarvis copy AI. So maybe you’ve heard of some of those. Maybe you’ve used some of those. All right, so that’s the first thing on our kind of history timeline. The next one is ChatGPT’s release.

Jordan Wilson [00:07:43]:

And I think this was for the overwhelming majority of people, this was their first kind of taste of this generative AI technology, I remember. So it was released in November 2022. But I remember during December, January, it was just such a wave. I mean, even if you turn on the nightly news, everything was ChatGPT, right? Because I think this really opened people’s eyes for a long time. I even remember showing people the GPT technology early on, and people were like, okay, interesting, cool, right? Okay, can write stuff. But I think kind of when the concept of having a conversation with a large language model, that’s really what was, I think, debuted in ChatGPT, because previously a lot of these other GPT tools weren’t really based in this conversational, right? Like a text message, like back and forth. It was more like, hey, you can work inside of a document, or there are these kind of features where you can click and say, oh, I want marketing copy, and you kind of fill in the blanks. But I think this is with ChatGPT’s release, it was the first kind of mainstream introduction to speaking to AI, to speaking and having a conversation with a large language model.

Jordan Wilson [00:09:07]:

So obviously that late November 2022. And bursting into early 2023, ChatGPT was just about everything, right? I mean, you’re talking commercials, late night shows, it was everywhere. All right, so early 2023, sticking on the timeline here. A lot of big releases that were rolled out inside ChatGPT. So that was the new model, GPT four. So going from three to 3.5, which was, I think initially called Turbo. So a faster version to what we have now, which is GPT four, which is the most powerful, flexible and robust of OpenAI’s models. Reportedly, I think it’s 1.8 trillion parameters inside the GPT Four model.

Jordan Wilson [00:09:56]:

Okay, but not just that. In early 2023, you also saw the introduction of plugins, which check the show notes, check the comments. We’ve done so many episodes on why businesses, individuals, everyone should be using plugins. My gosh, it is still to this day, I think, the most untapped tool in anyone’s arsenal in generative AI by far. If you’re not using plugins, we talk about plugin packs all the time. So being able to use three different plugins within ChatGPT, it is one of the most powerful things out there. All right, so early 2023, we saw GPT Four plugins, the introduction of browse with Bing, which was then pulled months later, then brought back code interpreter and also the announcement of ChatGPT enterprise. All right, and then let’s go to the most recent.

Jordan Wilson [00:10:49]:

All right, so we went through early 2023. So the most recent in the last couple of months, some official announcements. We’ve seen what a lot of people are calling GBT Four V, or vision mode. Right. So that is the ability to speak so on the mobile app, ChatGPT’s. Mobile app, to speak to ChatGPT and to have it respond back to you, which I think is, I think, familiar for a lot of people. Right, so working with smart assistants like Alexa or Siri or Cortana, I think is that what the one used to be called? Cortana? But I think this really was the beginning to show where ChatGPT and OpenAI is headed. It is multimodal.

Jordan Wilson [00:11:36]:

So that’s when we started to get that in the last couple of months, as well as Dolly Three. So Dolly Three is OpenAI’s. AI Image Generator. A farce step forward from Dolly Two. Dolly two actually predated ChatGPT. A lot of people don’t remember or realize that, but Dolly Two, sorry, kind of their first popular or first fully released AI image generating model has been out for years now. And it’s such a huge leap to go from Dolly Two to dolly Three. All right, so that is the official that puts a wrap on official, quote, unquote announcements and rollouts.

ChatGPT features coming soon

Jordan Wilson [00:12:17]:

So now we’re going to get into and I have it shared on the screen here, but if you’re listening on the podcast, don’t worry, you’re not going to miss too much. I’m going to try to do my best to explain some pictures and screenshots that we have coming up, but we have our late 2023 rollouts. So, again, these are rumors, leaks, speculation, whatever you want to see. But I do believe OpenAI will be making some sort of announcement, whether it’s at the November 6 Developer Conference, whether they announce something on their website, on their Twitter beforehand. But we’re probably going to see some official announcement from OpenAI soon on some of these new features that have been leaking out. So all tools mode, excited, excited about that, because that is essentially when ChatGPT in one mode, you can work with multiple kind of previous modes. So more on that here in a second. And then the next kind of late 2023 rollout that we’re already starting to see is the knowledge cut off being updated, which will be very helpful to hopefully cut down on those buggy hallucinations right? When ChatGPT lies or makes stuff up, or when you get that dreaded response that says, as a large language model, I cannot tell you anything past this date, right? All right, so that’s a very brief history lesson.

Jordan Wilson [00:13:41]:

So now let’s dive into these things a little bit more, okay? Especially the future, as we look at the near future and some of these newest leaks. So, again, we’re going to describe these a little bit more. And these are, I’m calling them unofficially official, but they are user confirmed. So many users who have access to these have been uploading videos, screenshots, et cetera. Our team does not yet have access. Just full disclosure, we kind of got Dolly early, we got some other modes pretty early, but we do not yet have some of these. But let’s just go ahead and take a look. So the big one, I think here is the knowledge cut off.

Preset knowledge cut off dates

Jordan Wilson [00:14:23]:

So, again, these are kind of rumors, but I’d say they’re kind of confirmed, right? So the initial knowledge cut off inside ChatGPT was September 2021. And let me just very quickly explain what that means and why it’s important. Large language models are not ever evolving, right? There is a preset data set that essentially says, hey, this version, this release of ChatGPT, of GPT Four is trained on data through this date, right? So if you’re new to large language models, think of it like this, essentially, a lot of these models, and they all have different release dates or different knowledge cut off dates. So when we look at things like Google Bard or Anthropics Claude, different release dates. So we’re talking ChatGPT here. So the original cut off was September 2021, okay? So essentially, if you’re working on anything and what I always tell people, right, I tell people this all the time, there’s very few things that you could be using ChatGPT for that have not changed since September 2021, which is why you always have to be careful and strategic with how you use ChatGPT. It’s why we recommend always using an Internet connected plugin, because things change, right? Even if we’re talking about ancient history, right? Ancient history has changed since September 2021, that original cutoff date, because there’s been new discoveries, new explorations, right? We’re always uncovering as humans new knowledge that we didn’t have previously. So that’s why you always have to keep in mind what you’re using ChatGPT Four and is it ever changing and is it fluid? And I’d say most things are.

Jordan Wilson [00:16:16]:

But that’s why it’s great news and encouraging news that we’ve seen some of these knowledge cut off get a little more recent. So the initial was September 2021, and then about two months ago for GPT Four, just for the paid version. And this was an official announcement, so it was moved to January 2022. So we got another, what, like four months, right? But now and I’m sharing these on kind of some screenshots here, now it’s showing different well, different versions. Different versions, definitely. So I’m sharing a couple of screenshots from users. I believe these are on Twitter. So one person saying, when is your knowledge cut off? And then ChatGPT saying, my knowledge cut off is current as of September 2023.

Jordan Wilson [00:17:02]:

And then you have another user, a separate user, asking, what is the knowledge cut off? And then ChatGPT responding with April 2023. So we are getting mixed reviews. People are experiencing different things right now. However, I do think it is safe to assume, even before an official announcement from OpenAI is that we are going to soon be looking at a 2023 cutoff date, which is extremely encouraging news. And to tell you the truth, it is needed. The fact that up until two months ago, that even on the paid version of ChatGPT, we were almost two full years outdated, I think it really set us back, if I’m being honest, as a society trying to push generative AI forward and to use it in our companies and in our careers. I think that 2021 was extremely limiting and caused a lot of people to put out some bard information or just boring and dull and outdated. So the knowledge cut off, when we look at some of the leaks, things that are kind of unofficially official, I think this is a big one here.

Jordan Wilson [00:18:12]:

All right, so let’s go to the next one. So we have all Tools mode. This is exciting for me because this is technically kind of the first true multimodal step from ChatGPT. Let’s talk about that. What is multimodal? I’d say the overwhelming majority of users who are using ChatGPT or other large language models, your Bing chat, you have your PO, your Pi, your Bing chat, your Anthropic cloud. So many, right? So many large language models. For the most part, how we’re using them is text to text, right? We’re putting in text and getting back text. But over the last couple of months, we’ve had some new capabilities that have already been released from ChatGPT.

Multimodal chat allows diverse input and output

Jordan Wilson [00:19:06]:

So kind of when we talked about this GPT Four or Vision. And I’m curious, for those of you joining us live, what have you been using? Some of these new features? Have you used them? Are you using the voice capabilities? Are you listening to ChatGPT respond back to you? Are you uploading photos? Some of these features have already been available. However, they’ve been in separate modes, right? Which is one thing that I personally found annoying. And people over the last couple of months have said, oh, we have multimodal ChatGPT. And it’s like, no you don’t. Because as an example, up until this current official leak, you’ve had to go into multiple modes to experience any kind of multimodality, right? So that’s when we’re talking about not just inputting text and outputting text, right, but inputting text, inputting photos, inputting your voice in the future, maybe inputting videos, and in the same chat, having it be able to output not just text, but output photos, output videos, output PDFs, right? That is when we start to talk about multimodality. And that is when I think we really start to take a step, if I’m being honest, to artificial general intelligence, right? AGI it’s what OpenAI is openly working toward it’s. What people fear so much is when these generative AI and these large language models can all of a sudden, oh, you can start to showcase intelligence that maybe humans aren’t capable of.

Jordan Wilson [00:20:48]:

But I think that’s the first step, right? Whether you want AI to get there or not, multimodal is a required step. And so now with this rumored all Tools mode, so I have a screenshot of it here on my screen on the live stream, but don’t worry, I’m going to read it off. So this is a success message that maybe some of us will be getting, or a variation of this once we get access to this leaked rollout. So it says, upload many types of documents work with PDFs, data files, or any document you want to analyze. Just upload and start asking questions. Okay? And then the second kind of bullet point here is use tools without switching so that’s access to browsing, advanced Data Analysis and Dolly is now automatic if preferred. Manual selection is still available under GPT Four. Okay, so let me talk about why this is important.

Jordan Wilson [00:21:45]:

And even as an example, we usually twice a week run a free prompt course. I think we’ve almost had 1000 people go through it. So sometimes it’s tons of people from the same company. Individuals, marketers, entrepreneurs, fortune 500 leaders have all taken our free prime prompt polish course. And one thing that we always teach is you have to be very specific about the mode, about the mode you start in, right? Because as an example, ChatGPT has the Browse with Bing feature, which allows you to essentially query the Internet. It actually doesn’t give you access to the Internet how you might want, but it allows you to query the Internet right, and ask the Internet things, but you can’t visit specific Web pages. Let’s say you needed a chat that was important for your career, maybe for your company, if you were starting a chat in that mode, and if you wanted to use something like Advanced Data Analysis, you had to start a separate chat. So any knowledge that you had shared any kind of training or minute fine tuning that you were doing with that chat to get better results is all lost, right? So even though some of these modes, some of these tools were available separately, it wasn’t very useful, to tell you the truth, because if you wanted an image generation from Dolly, your only option was to input text.

All Tools mode expands ChatGPT capabilities

Jordan Wilson [00:23:16]:

But with this All Tools, some great things, and you’ve seen people that have early access doing some of these things is, as an example, uploading a photo and saying, hey, what is this? And hey, maybe create a better version of it. And then from that better version, maybe create a spreadsheet of every single object that’s in there, right? So that’s an example of now what you can do in this All Tools mode and not having to switch, right? You can upload a PDF or an image, have ChatGPT query the Internet to find out more information about it, and then Dolly can maybe draw another version of it or create a similar option to whatever you inputted, and then you can do some advanced data analysis on it all within one chat. So this is I cannot understate how powerful and how much functionality this All Tools kind of mode will bring to us all, and the capabilities are endless. So, FYI, if you haven’t taken our free Prime Prompt Polish course, make sure just type in PPP in the comments here on the live stream, or if you are listening on the podcast, we have that information in the show notes as well. So you can also there’s always a link to reach out to me on LinkedIn, email us, just let us know. But we’ll even be updating as soon as this is released to the general public, we’ll be updating our free course. So you can really understand how to take advantage of All Tools mode because I think it’s extremely powerful. All right, now let’s get into the fun stuff, shall we? So this episode is about the future of ChatGPT, right, and what it means.

Jordan Wilson [00:24:57]:

So we gave you a history lesson, a brief history lesson, and we also explained some of these things that should be available in the near future, some of these kind of recent leaks. The new knowledge cut off reportedly in 2023, the Alt Tools mode, which I think will be extremely powerful. But now let’s talk about the future of OpenAI and ChatGPT and what it actually means. All right, so here we go. I have a list here of some facts, but also some predictions. All right? So like we already talked about, this is the first use case, at least inside Chat JPT of true multimodal, right? I actually know Google Bard was a little ahead of the multimodal. The results aren’t that great, if I’m being honest, but Google Bard has already had a little bit better version of a multimodal. But this will once ChatGPT fully rolls this off, this will by far be the most powerful and true version of multimodal chat, which I do believe is the history.

Future internet: Multimodal interaction with up-to-date information

Jordan Wilson [00:26:06]:

Let me tell you this, this is going to be how we interact with the Internet in the future, right? Whether that’s in three weeks or three years, I don’t know, but multimodal interaction with large language models or hybrid, kind of like what you’ve seen with Google’s new SGE search generative experience, but the ability to always not just upload text, but your voice, photo, spreadsheets, PDF, video, the future is multimodal conversations on the Internet. And this will be, once it’s fully released to us all, the first true multimodal. So it’s exciting. Second up to date information, my gosh, working. I mean, literally, I think it was seven weeks ago, I think we were in September before the September 2021 Knowledge Cut Off got bumped to January 2022 for paid users. But having up to date information is paramount. It is going to help content creators create better content. It’s going to help if you’re using, let’s just say as an example, if you’re using ChatGPT for a job search or to grow in your career, it’s going to make it much more impactful.

Jordan Wilson [00:27:24]:

I think so much of the early knock, quote unquote, on generative AI and large language models and ChatGPT was hallucination, was lies. And the number one cause, well, one A and one B. One A is the knowledge cut off was just too far back. The world changes so quick. Industries change so quick. If you’re working on a Knowledge Cut Off that’s even six to twelve months old, it’s kind of difficult. So that’s one A, one B is you should be using plugins mode for everything. So that’s also like even where I’m at.

Jordan Wilson [00:28:05]:

Like, hey, if I want to get on predictions or hey, wish list OpenAI, let’s hopefully have All Tools. Let’s have that include plugins as well. Because if I’m being honest, if All Tools, if this new All Tools mode where you can have this true Multimodal and you can switch between Dolly and advanced data analysis and browse with Bing and all of these things, if it doesn’t include access to plugins, I’m not going to use it as much. And I would still recommend people not as well or not as much. Because here’s the thing. With plugins, that is how you open your work to the rest of your workflow, right? That’s the only downside. Hey, even with this true Multimodality, everything’s still trapped inside of ChatGPT. But with Plugins, you open up what you can do, not just kind of opening up the communication, but the features and the functionality.

Jordan Wilson [00:29:00]:

Now that there’s, I believe, 1200 plugins, right? And being able to have a Zapier plugin allows you to have two way communication with the rest of the entire Internet. So as exciting as this true Multimodal or All Tools mode will be. I hope it eventually includes plugins mode as well. All right. But regardless, that up to date information does mean fewer hallucinations, which is huge. All right, so here’s some more predictions. Some more predictions. Real time collaboration, that can’t be too far off.

Future of work: remote, hybrid, collaborative

Jordan Wilson [00:29:37]:

It can’t, because the future of work as we know, it’s remote, it’s hybrid, it’s in person, it’s all over the place, right? But what that means is everything is collaborative. And that’s the one thing right now where I think large language models, maybe ChatGPT specifically, really struggle in, is being able to share, right? People know you can share chats, or I think most people know, or maybe you didn’t, but, yeah, there’s features where you can share chats with your colleagues, but it kind of ends know everything in theory still runs on your local account. But I do think we’re going to see something soon from OpenAI that is more collaborative that it’s Google Docs esque, where a team can access a chat so you can work on projects together. If I’m being honest, I don’t see a future where this doesn’t exist in 2024. Because if I’m bing honest, if this doesn’t exist in 2024, I think it just opens up the path for other competitors, whether it’s Google Bard or Cloud Anthropic or Bing Chat or whoever, to offer a better collaborative experience, because the future of work is together, it’s remote, it’s hybrid. So I think that has to be an option. The next kind of fact and prediction is having this be more affordable for developers. And when we kind of reference this November 6 Developers Conference that’s happening here in a couple of days, it’s kind of what this at least official announcements have been based on.

Jordan Wilson [00:31:20]:

This is allowing better, easier and more affordable access for developers to work with OpenAI’s API to build your own products and services using their API. So kind of these wrapper companies, quote, unquote, so to speak, right? So it is known that that is going to be happening, making that more affordable for developers. And kind of my last here as we wrap up this show on the future of ChatGPT and what it means, my last kind of prediction on the future of ChatGPT, and what it means is ChatGPT enterprise, right? So, so much of the time we’re just talking about the commercially available, the ChatGPT that we all use. You log in, anyone, create an account, pay $20 a month for ChatGPT plus, and you get access to all these things. But ChatGPT enterprise, it hasn’t been talked about a lot. It was announced a couple of months ago and it’s being rolled out. But I do think the combination of ChatGPT Enterprise and Microsoft 365 Copilot also being released here shortly, at least for enterprise customers, it’s going to change the narrative on Gen AI, because I think unless you are an AI enthusiast. An early adapter, you probably still aren’t being exposed to a lot of gen AI in your day to day, right? Maybe if you’re a marketer, a content creator, a specialist in one of those fields, or an enthusiast, right, an early adopter, if you’re not one of those things, chances are you’re not using a lot of AI on a day to day basis.

Jordan Wilson [00:33:14]:

A lot of generative, maybe, you know, in your Google search, you have the search generative experience, which is kind of the traditional search plus AI hybrid, so maybe you’re using that a little bit. But I do believe that ChatGPT enterprise, which allows teams to kind of work together to have more control of your data and privacy, a little more fine tuning. But then also Microsoft 365 Copilot, which I personally think, and I’ve had episodes about this before, I think it’s going to shake the economy, I think it’s going to change how we all work. But I do think that those two things is going to change the narrative on gen AI, because up until then, a lot of people looked at AI and they’re like, oh, it’s not very good, and they just see people creating mediocre content with ChatGPT and not putting a lot of work in. So I think the general population, at least here in the US, the general workforce, has only seen the maybe potential of generative AI, but they have not seen specifically it in use. They’ve only seen kind of mediocre examples or just talking promise. So I still think even if we talk about the hype cycle, right, I still think we’re early on and I think that as we move forward with some of these new features in ChatGPT, Microsoft, Copilot, we are going to go from a certain point of the hype cycle and we’re going to start to realize, oh, no, this is real. We’re using it in our day to day.

Jordan Wilson [00:34:49]:

So, thank you for tuning in, but I want to know, I want to know from you. Let me know in the comments here or hit us up. I love hearing from podcast listeners, people who say, hey, found you on Spotify, I’ve been listening all the time. Let me know, shoot us an email, connect with me on LinkedIn. But I want to know from you, what do you think is the future of ChatGPT? Do you think it’s just hype? Do you think it’s a phase? Do you think we’re early? Do you think it’s already on its way out? I want to hear from you. And also even what about the future? Right? So we talked about some of these unofficial official leaks, right? This all tools mode and the knowledge cut off changing, is that going to change the way we work? Is ChatGPT going to become this change from this tool that we don’t really know about to an integral part of our day to day lives? I think so, but I want to hear from you. And I also want you to go to your everydayai.com sign up for that free daily newsletter again every single day. Well, sometimes it’s just me, your host here, but mostly every day we bring on expert guests and we tackle a topic.

Jordan Wilson [00:36:07]:

Not just that, but we break it down into great detail. So make sure you go if you want your dose of AI news for the day, make sure you go to your everydayai.com sign up for that daily newsletter. And we’re going to be breaking today’s episode down in even more depth. And also, we have another special episode planned, so make sure that you tune in this week because we’re going to be talking about just in general, generative AI and how disruptive things are going to be now as we enter this phase with ChatGPT Enterprise, Microsoft 365 Copilot. It’s going to be an exciting episode and I hope you join us and I hope to see you back for another episode of Everyday AI. Thanks y’all. And that’s a wrap for today’s edition of Everyday AI. Thanks for joining us.

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