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Navigating the Impact of Generative AI and Large Language Models in Business
In today's rapidly evolving technological landscape, businesses are faced with the implications of Generative AI and large language models in everyday operations. This article examines the impact of generative AI in management consulting, legal and ethical implications, and the significance of AI in management consulting, as discussed in a recent podcast episode.
The Rise of Personalized GPTs: Redefining Websites and Apps
The podcast highlighted the potential impact of custom Generative Pre-trained Transformers (GPTs) on the future of websites and apps. The speaker emphasized that personalized GPTs may eventually replace traditional applications and websites, presenting a transformative shift in how businesses interact with their customers and users. For business owners and decision-makers, understanding the implications of this shift is crucial in adapting to the evolving technological landscape. Embracing personalized GPTs could open up new avenues for customer engagement, personalization, and enhanced user experiences.
Integrating Generative AI in Management Consulting
The podcast episode highlighted the increasing use of large language models in management consulting, prompting business owners and decision-makers to question management consulting companies about their AI utilization. They emphasized the importance of understanding how AI is being incorporated into consulting practices, including sources, proprietary methods, and internal training. This underlines the need for transparency and ethical use of AI technologies in the consulting industry.
Legal and Ethical Considerations
The challenges posed by potential copyright violations in AI image generation were a focal point of the podcast. The episode discussed the impact of MidJourney's updated terms of service, which prohibits users from violating intellectual property rights, presenting a challenge for AI image generators. Business owners are urged to consider the legal and ethical implications of utilizing AI technologies and to implement proactive measures to mitigate risks associated with AI-generated content.
AI's Role in Management Consulting and Everyday Technology
The podcast highlighted the significance of large language models like Microsoft Copilot and OpenAI's ChatGPT in companies, emphasizing the need for employees to verify the outputs for accuracy. Additionally, the episode discussed the impact of AI in smart technology, particularly in the context of Samsung's AI-powered refrigerator capable of identifying food items and suggesting recipes. This underscores the increasing integration of AI technologies into everyday devices, with potential implications and opportunities for businesses in consumer technology markets.
Embracing the Future of AI Technology
Understanding the evolving landscape of AI integration, the impact of generative AI and large language models in everyday operations, and the legal and ethical considerations associated with AI utilization is crucial for business owners and decision-makers. By integrating these technological advancements into their strategic planning, businesses can navigate the transformative opportunities presented by AI innovation, positioning themselves for growth and innovation in an AI-driven future.
In conclusion, the impact of Generative AI and large language models in business operations underscores the need for proactive engagement with these technologies. By staying informed, understanding the legal and ethical implications, and embracing the significance of AI in management consulting and everyday technology, businesses can prepare for a future driven by AI innovation and leverage these powerful tools for sustainable growth and advancement.
Topics Covered in This Episode
1. AI Image Generation
2. AI in Smart Technology
3. AI in the Workplace
4. Legal and Ethical Implications of Generative AI
Jordan Wilson [00:00:17]:
Keeping up with everything in generative AI is like a job and a half. I mean, trust us. This is literally what we do at everyday AI, and there's always so much news, Tools, events, happenings, acquisitions. It's it's even hard for us to keep up. So we're doing something a little bit new at everyday AI. This is one of the first new things that we're talking about here in 2024, where we're gonna take each Monday and talk about AI news that actually matters, and we're gonna get away from the bullet points and, you know, here's 50 news stories. We're gonna talk about a handful of stories in-depth And really, hopefully, help you talk about what they mean to help you grow your company and to grow your career. Hey.
Jordan Wilson [00:01:06]:
What's going on? If you're new here, good to meet you. My name is Jordan Wilson, and I am the host of Everyday AI. Everyday AI is a daily livestream, podcast, and and free daily newsletter helping everyday people like you and me learn and leverage generative AI to grow our companies and to grow our careers. So if you are joining on the podcast, appreciate that. Would love if you you if you could subscribe and leave us a rating and tell your friends about it. And For those of you joining on the livestream, thank you as always. Like Brian joining from Minnesota, Mike Forgy and, Woosie Rogers, thank you all for joining us. But if you are joining us on the podcast, we always leave other links that you can come back, join the livestream, ask questions, and connect with a thriving community of AI enthusiasts.
Jordan Wilson [00:01:50]:
Alright. So without further ado well, no. Actually, I do have to tell you. If you haven't already, go to your everydayai.com. There's some new stuff there you probably haven't seen, but we're gonna be announcing a lot of new updates, this week. But you can sign up for the daily newsletter, which you should be doing at your everyday AI.com. But, also, if you didn't know, we have now more than a 170 episodes that you can go listen to. You know, I get messages and emails all the time saying, hey, Jordan.
Jordan Wilson [00:02:20]:
How can I learn about generative AI for sales? Or, hey. How can I learn, you know, about the ethics of generative AI? And you can just go on our website, and we have these different AI learning tracks, Probably more than 30 of them. So with more than a 170 episodes, we've covered literally just about everything. So make sure You go to that, and you could also, on our website, read every single email newsletter. So once you subscribe, you can go back and read so much. So I cannot emphasize enough. Even with keeping up with AI news and what matters, those are 2 and Fantastic resources looking at our backlog of more than a 170 episodes, and going back and reading every single newsletter as well. So With that, let's talk about what's not just going on in the world of AI news, but what why it matters, right? So, couple couple news stories that we wanted to to look at a little more in-depth.
Jordan Wilson [00:03:18]:
Alright. And, yes, we did cover these in our newsletter. We cover the daily news, but I wanted to dive in a little deeper. And, also, if you're joining us live like Nina from Denmark or like Shannon, please let me know. Let me know what you think of these different topics that we're talking about and and what questions you have. I'll try to answer some of them live if I can. Alright. So the first one.
Midjourney v6 plagiarism?
Jordan Wilson [00:03:39]:
An article here from IEE Spectrum is talking about how Generative AI, specifically, MidJourney has a plagiarism problem. Yeah. A visual one. So we're gonna talk about this here in-depth and show a couple of examples. But, also, tomorrow, this is Really, what we're gonna be talking about in line with, The New York Times in the OpenAI, ongoing lawsuit. But, in this case, we're talking about Midjourney. So, we cover this in the newsletter, but Midjourney finally released in alpha, but they're v six. Right? So mid journey, actually puts out a lot of great fantastic updates.
Jordan Wilson [00:04:21]:
So, we went from you know, you go from v 4 to v 5, 5 1, 5 2. Right? So, MidJourney pushes out every, you know, month or 2 these incremental, updates, but they're actually Very impactful. And one thing that a lot of people have been talking about, especially since this new v six release, is that, hey. A lot of these image, generations are looking exactly like copyrighted images, specifically movie stills. Alright. So, have to shout out, the the the people that have put, put the work in. So we'll we'll link to them in the newsletter. There's been a couple of people that have really been going in-depth Looking at different movies, running different outputs inside MidJourney.
Jordan Wilson [00:05:03]:
We we replicated some ourselves, but we We're we're not gonna share them, and more on that here in a second. So let's take a look. This is an example here. So if you are listening on the podcast, Go ahead. Check your show notes. Come look at this on the screen, but so this prompt says famous movie screen caps, superhero and then some technical things about the, the aspect ratio. But just by putting in the prompt, Famous movie screencaps. Superheroes.
Jordan Wilson [00:05:35]:
I am getting back images from Different superhero movies. Right? And that begs the question. What should AI image generators be doing? When I put in a very vague prompt like that, famous movie screencaps superheroes, and I'm getting the results I'm getting back, I have a very lifelike image of of Thor, right, from the avengers, and then, Superman, and And then another one that has different images of Batman and the Flash. These are all obviously copywritten. Right. It's something it's it's kind of like the largest elephant in the room that no one wants to talk about, especially when it comes to AI, arts generators, specifically in midjourney. Right? These are copywritten images. It's troublesome.
Jordan Wilson [00:06:30]:
Right? And, yeah, we've been using MidJourney essentially since it came out, and we have noticed specifically with v six, not just it is almost Impossible, y'all. It is almost impossible to tell the difference now between these AI generated images and real life, And that makes it especially troublesome when you get generations like this, when you're not even asking. Right? In this prompt, The prompt is not asking for images of, you know, Thor or images of Superman or images of Batman. The prompt is only asking for famous movie screencaps superhero. Right? Kinda wild. And then we're getting back images that are clearly from, you know, big studios that have the ownership rights to these. Right? And then you have people publishing these works all over the Internet and also using MidJourney and other AI image generators for commercial prod, projects. So the waters are going to get very muddy.
New York Times suing OpenAI and Microsoft.
Jordan Wilson [00:07:50]:
Right? I've I've I've got some hot takes coming in tomorrow's show, regarding the New York Times and the OpenAI situation, very similar. So the New York Times is suing OpenAI and, technically, Microsoft for similar copyright infringement. But I'm I'm actually surprised that this mid journey, especially with v six, y'all, because this new v six update, the realism is through the roof. Right. I used to kinda be a photographer in a form of life. I've taken, at least 250 to 300,000 images with a DSLR camera. So you could say I I have a decent eye for photography or graphic design or something like that. I cannot with with this new v six update, it is nearly impossible, even for a trained former photographer like myself, to tell the difference between what is real and what is AI generated.
Jordan Wilson [00:08:49]:
And that becomes especially problematic, right, When we start to see AI image generators like this create Just so highly replicated, almost pixel for pixel, like, duplications From movies. Alright. So here. I got got another, something to to look at here and something to probably You might wanna relook at your use of MidJourney, FYI. So, yeah, there's there's been a lot of of talk on the Internet, you know, Reddit, Twitter, different different news articles like the one that I shared and that we'll put in the newsletter, but you might wanna go look MidJourney's new terms of service. A little troubling. Yeah. A little little troubling.
Jordan Wilson [00:09:40]:
Ready? So the updated MidJourney terms of service say this. You may not use the service to try to violate the intellectual property rights of others, Including copyright, patent, or trademark rights. Doing so may subject you to penalties, including legal action or A permanent ban from the service. We reserve the right to investigate complaints or reported violations of our terms of service And and to take any action we deem appropriate, including but not limited to reporting any suspected unlawful activity To law enforcement officials, regulators, or other third parties. Y'all, I don't know if if if if you understand what's going on here. Right. But we've been using MidJourney, like I said, essentially since it came out. And I don't know if our team at Everyday AI can continue to use MidJourney with these terms.
Jordan Wilson [00:10:42]:
Right. And here's exactly why. It says you may not use the service to try to violate the The intellectual property rights of others. That right there, in my opinion, Goes against really everything that a lot of AI image generators are trained on. Right? AI image generators are trained on copywritten materials. Right? And even in this example prompt so, again, if you're listening on the podcast, you've gotta see this. So just click click your show notes. Go join the live or, you know, look at the website.
Inquiry about copyright violation and terms update.
Jordan Wilson [00:11:23]:
But even when you are not trying to violate terms, right, like this prompt that just says famous movie screen caps Superheroes. There is no intent in that prompt to violate any copy copyright images. Right? There's not yet. The return you get, as you can see on the screen if you're joining us live, is copyrighted materials. I'm curious for those of you, on the live show that are using MidJourney. Did you know about this new updated terms of service? I didn't see exactly when these terms were updated. Presumably, it was around this b six release. I'll have to check and go into the, The archive.org and start looking at different screenshots of their terms of service to see exactly when this language was updated.
Jordan Wilson [00:12:15]:
But, Essentially, what Midjourney is doing here is pack passing the buck on to users, right, which I understand from the company's perspective. However, I don't I I I don't really see how any now MidJourney user can use MidJourney without violating Intellectual property rights. Right? Because as you saw on this example, the prompt is not even trying to do that. It's just asking for photos, or screen caps of superheroes, and you get owned images from others. Not a good look. Not a good look. Yeah. Gerd here saying, I got an almost perfect Superman from DALL E today after it explicitly said, this one is unique, And it doesn't resemble a real superhero.
Jordan Wilson [00:13:03]:
Yeah. Yeah. So it's not just mid journey. You know, all different AI image generators platform, AI Image generating platforms, are running into these issues. Right? I haven't used Adobe's products as much, but Adobe is really pushing, I guess, images that it has the rights to when it trains its AI image, model. So we'll see. But, you know, when we look ahead in 2024, we haven't really seen this marquee, lawsuit yet When it comes to AI image generators, right, like, we have the marquee lawsuit now with New York Times, you know, one of the biggest names in the world in publishing, versus OpenAI. So you have the 2 giants there going head to head.
Jordan Wilson [00:13:45]:
We haven't really seen that marquee, kind of AI image generating, lawsuit yet, but I I I do feel we're gonna see it soon, especially after, you know, mid journeys, v six updates. These new terms of service, it's something to keep an eye on. Alright. Let's talk about the next Piece of AI news that I think it's worth keeping your eye on. AI powered appliances are coming. Alright. So Samsung is actually planning this week to unveil a new fridge. And you're probably like, alright, Jordan.
Jordan Wilson [00:14:21]:
What are we talking about fridges for on Everyday AI show. Isn't this supposed to be about generative AI? Well, they are releasing a bespoke 4 door Flex refrigerator with an AI family hub. What that means is this has an internal camera That can identify up to 33 different food items and suggest recipes based on what you have in your fridge. Alright. Here's why I think this is news that matters. This isn't the 1st AI powered, device, you know, hardware device that's available. It's not. There's so many, and we're gonna talk about those, some more of those here in a second.
Jordan Wilson [00:14:59]:
But This fridge from Samsung, as small or as insignificant as this may sound, I think this might be one of those first big steps into bringing AI into your home without even necessarily choosing it or knowing about it. Right? Even if you're just a tech geek or maybe you just like, you know, great appliances, if you see this, Samsung fridge, you might just say, okay. Yeah. I like this. I'm gonna buy this fridge. Right? We've needed a new fridge. I wanna splurge on something nice. I'm gonna buy this new fridge.
2024 brings widespread use of generative AI.
Jordan Wilson [00:15:35]:
I think 2024 is gonna be one of those years where it starts to we start to bring generative AI into our lives in ways that we didn't have in 2023, and maybe in ways that we're not even realizing. Right? So I think this might be the signal of one of those first big steps of the average consumer bringing generative AI into their life and not even knowing it. Right? I mean, yes, if you're using smart assistants like Alexa or Siri or something like that, yeah, you've been using AI technically for a while. But I think it's gonna be important to look at what happens with these, AI smart devices, smart appliances that are Using generative AI. So, yeah, speaking of that, that brings us to our next Big AI story to keep an eye on. So big AI announcements are definitely gonna coming to CES this week. So CES is the consumer electronic show, and it bills itself as the most powerful tech event in the world. Alright.
Jordan Wilson [00:16:47]:
So if you haven't heard of CES, I mean, I follow it every year, but I'm a dork. Any other dorks out there that follow CES like the Super Bowl? Just me. Alright. But it is in its 58th year. So CES kicks off tomorrow in Las Vegas, and little preview here, showing on the screen from CNN Business of what's to come. Spoiler alert. It's a lot of AI. A lot of AI announcements are expected, Uh-huh.
Jordan Wilson [00:17:22]:
At CES, which, like I said, starts tomorrow, kicks off in Las Vegas, and runs through Friday. So So a couple of things that have already kinda been leaked or previewed of things that we're gonna see, some new AI announcements coming from CES. So companion robots with ChatGPT enabled, right, which Could be a fun thing. It could be a very bad thing. Right? This is another thing. If I mean, if you're a parent And you see, you know, oh, ChatGPT enabled robot for kids. Do you want it? I don't know. Right? Like, not just accidentally jailbreaking GBT, but I think so many, you know, whether it's software companies or hardware companies, and now you, you know, have the easy ability to kind of create your own, you know, custom GPTs and embed them on your website.
Jordan Wilson [00:18:22]:
I don't think all these other companies that are using generative AI, especially, You know, tapping into, OpenAI's, API for the GPT technology, I don't think everyone understands Fully what GPT is capable of, right, or what safeguards that different hardware manufacturers or, You know, third party iOS app developers that are tapping into OpenAI. I don't know if all of these parties fully understand what GPT is capable of. As an example, if I had a child, I probably wouldn't want them to have a GPT powered Companion robot because you can get GPT and other large language models to go off track. Right? You can jailbreak them. You can get them to say and act in very bad ways that they were not intended to. So I think that's something that we should probably be keeping an eye on when we're talking about news that matters. Alright. So some other things happening at CES, Smart belts for the visually impaired.
Jordan Wilson [00:19:30]:
Alright. And also, kinda like what we just talked about, AI driven home appliances. Also, what's expected at CES is the marriage of more voice technology and generative AI systems, which I am here for that. I've, just really got hard on different, you know, platforms like, Man, Alexa and Siri, for being smart assistants are not very smart. So I am very much looking forward to when you get these, Kind of voice, voice technologies that are powered by generative AI and not necessarily the systems that have been powering them Since we've been using them for now, you know, nearly a decade, you know, 8 or 9 years. So I think that's a good thing. Yeah. Mike Mike here with the comment, smart appliances are stupid.
Jordan Wilson [00:20:23]:
Says, I hate my smart TV. It was obsolete in a couple of years. Yeah. Yeah. But that's, I mean, that's that's where we see now, Mike, and out and everyone else listening. I think 2024 is gonna be the year where, you know, your traditional, quote, unquote, smart, appliances, smart hardware, or smart software are going to stop trying to create this technology in house, which a lot of companies have been trying to do for decades, And they're going to rely on partnering with different generative AI models, different large language models. Right. So, presumably, we're gonna be seeing a lot more big partnerships with OpenAI, and using their GPT model.
Anticipating more Google partnerships in 2024.
Jordan Wilson [00:21:03]:
We're probably gonna be seeing a lot more, partnerships with Google, and they're, you know, using their, Gemini Pro or when Gemini Ultra model comes out in Bard, in 2024. I think you're gonna be seeing a lot more partnerships with them and as well as, Anthropic. Anthropic's, clogged too. So I think that this is gonna be the beginning, I think, where smart assistants, you know, that we're bringing into our homes, like These different, devices that we're probably gonna see announced at CES that we're actually gonna say, oh, wow. This is actually smart. You know? I don't know about all of y'all, but, you know, when I first, our team first started using the GPT technology in late 2020, Right. When it was first announced, or it was first commercially available in a lot of popular products like, you know, Copy AI, Jarvis, now called Jasper. So So late 2020, early 2021, that's when our team and, you know, myself personally started using, you know, these generative AI technologies and was like, wow.
Jordan Wilson [00:22:03]:
This is AI that's actually really good. Right? This was almost now 3 years ago saying this technology puts Siri and Alexa to shame. So I think keep an eye on what comes out at CES this week, you know, again, starting tomorrow. But I think as these companies start to leverage different large language models, we're finally gonna get smart appliances that are not Stupid, I think. So we'll see. Alright. And our last big piece of AI news that matters For this week, Monday, January 8th, is Deloitte going all in on generative AI? So sharing, the story from the Financial Times here, and we'll have more about it in our daily newsletter as well. But Deloitte has officially launched its new AI chatbot named Perdee, and they've launched it internally To 75,000 employees in Europe and the Middle East, as well as Europe and the Middle East.
Chatbot aids employees but requires verification accuracy.
Jordan Wilson [00:23:07]:
So this chatbot is designed To help, Deloitte employees or to assist them in creating everything that they do. So from PowerPoint presentations, writing emails, coding, productivity tasks, etcetera. Right? So here's an interesting note, though, in this announcement, but staff are still advised and encouraged to verify the chatbot's out the chatbot's output for accuracy, Meaning that the AI is obviously still still evolving and not always entirely reliable. That piece is very important, And it's it's kind of that, oh, hey. Make sure you, you know, Cross your t's and dot your i's, but I don't think most employees and I'm not just talking about Deloitte and their new impaired large language model. But I'd say most employees that are using large language models, so whether we're talking about Microsoft Copilot Or maybe you have, OpenAI, their enterprise, ChatGPT, or maybe you're using, Bard, Claude. I don't know. But I'd say most companies that are leveraging large language models are not properly checking their work.
Jordan Wilson [00:24:25]:
They're not. Here's why. A lot of times, depending on what large language model you're using, it can almost be as time consuming To double check the output quality of a large language model than it is to do it yourself. Right. Obviously, if if if the large language model provides citations, which a lot of them are now, especially perplexity. So, hey, shout out perplexity. They've been ahead of the curve, and they've been doing that since day 1. But a lot of times, it takes just as long To go and double check a large language model's work if it doesn't give you proper citations.
Jordan Wilson [00:25:04]:
So I don't know if that's going to happen or if it's going to continue to happen, Especially as now large, you know, house house, household companies, name brand companies are starting to use and Large language models now out in public. Alright. Hey. Look at this. Josh. Josh comp, Josh, comment here saying, speaking of Deloitte Ernst and Young publicly announced in September that they're investing $1,400,000,000 in AI. Yeah. Josh, thank you.
Jordan Wilson [00:25:36]:
That's a great, a great point there. And kind of what I wanted to get to next is that in the management consultant, industry, There's has been this phase of, alright, layoffs. Right? Mass layoffs. Some big management consultants, Consulting companies had, tens of thousands of layoffs in 2023, some not so much. I think Deloitte only, at least announced Around 1200 layoffs in 2023, which is not a lot. But Deloitte is saying that they are using AI to avoid layoffs, Which I think is a smart move for your Fortune 100, Fortune 500 companies. When you are putting that big Kind of, hat in the ring, so to speak, your public hat in the ring saying we are here to use AI. I think it is wise To say we are doing this to avoid layoffs and not necessarily when certain companies say, hey.
AI affects job market and management consultants.
Jordan Wilson [00:26:30]:
We are laying off or we're not hiring for these 8,000 jobs because of AI. A big difference there. But I think this is going to be A trend in the management consultant industry, and I've been very hard on the difference and management consultant companies, you know, not just the big four, but all of them because I think they've been dragging their feet on this. Right? So I I had a show a couple weeks ago. So I was a featured speaker out at the AI Summit in New York City, one of the largest and AI summits in the world, and kind of in between, the time when I was, you know, not speaking or preparing for my speech, on how to make Chat g p t sound more human, which was a fun, fun speech to put together, by the way. But I was speaking to a lot of different management consultant companies because a lot of them were obviously represented, at this AI summit. You know? They had, big exhibits. And I was actually shocked at the amount of, you know, outside of the big four, but your next tier of management consulting companies.
Jordan Wilson [00:27:39]:
I was shocked And even the household names, names that I knew, you know, just kind of, we'll we'll say kind of tier 2 management consulting companies. How many of them did not even have an AI plan yet? You know, not everyone is like Deloitte or like what Josh is here investing 1,000,000,000 of dollars, into generative AI, but you also have management consultant companies that are kind of just Throwing money at it and saying, yeah. We're we're doing something. We're doing something about this probably to appease, they're larger, they're larger clients that are investing 1,000,000 of dollars annually, with their management consultant companies to say, hey. You shouldn't abandon us. You shouldn't go use, you know, or build your own large language model to replace us. We're investing money and resources in generated AI. Right? I like what Accenture is doing.
Deloitte leading in AI, urges accountability in use.
Jordan Wilson [00:28:30]:
They've were one of the first to appoint a chief AI officer, which was smart. I like what Deloitte is doing. Deloitte has been big on AI. You know, like what, Josh said, was actually one of the presenting, sponsors at this, AI summit, and I got to get some behind the scenes on what they're working on, with with Their generative AI and just, you know, deep learning machine learning efforts. But I think you just have a couple leaders, and then you have the rest of the pack. And the rest of the pack, I think, is falling behind. So if you are a business owner out there or if you work at a big company Who uses a management consultant company? I think it's extremely important to not just ask them what they are doing in terms of leveraging and Generative AI and large language models for your company, but also what does it mean? What does it mean? Are you going to be spending less time? Are you going to be spending more time? How are you going to be verifying outputs that this large language model gives you? Right. So similarly to how, this news article from Financial Times mentions that Deloitte is so encouraging its staff to verify This pair d, kind of chatbots, outputs.
Jordan Wilson [00:29:52]:
But if you're a business owner, A a leader in a in a division and you're working with a management consultant company, you need to grill them. You need to grill them on how they are using and Generative AI on how they're using large language models because here's the thing. Traditionally, when, you know, large language models kinda first burst onto the scene, with ChatGPT, that was again, they've been out for years before that, but that's when they were kinda popularized. Right? But, essentially, what you had, Smart people started saying, alright. Well, what's the need now for management consultants? You know? If this large language model can, you know, correctly computes tens of thousands of rows of data in a spreadsheet, and it can look at all this different, you know, case law and and how, you know, different management consultant companies have have taken on big, you know, restructuring, projects over the past 10 years. Some people have said, alright. Well, what's the need for large or or for management consulting companies? Right? So if you are working with 1, you should be asking them questions. I'm not telling you to dump them.
Jordan Wilson [00:30:57]:
That's not what I'm saying, but you need to understand. Right? Because you are going to see, you know, I think Deloitte, Deloitte And, Accenture are probably 3 of the first ones to really have a firm public stance on their use of AI, But you need to understand how they're using it. You need to ask them questions, and you need to understand ultimately what outputs are being used verbatim From a large language model. What sources are they tapping into? Are they using OpenAI? Do they have anything proprietary between, which gosh. I hope, yes, most of them probably do, but, you know, what proprietary methods Or internal, training are they doing? Inter, internal fine tuning. What are they doing on these large language models before they're Taking these outputs and advising your company, it's extremely important to keep an eye on. Or like what Shannon says, this is where PPP comes in. Yeah.
Jordan Wilson [00:31:58]:
Take our free prime prompt polish course. It's coming back tomorrow. We took some time off from the holidays, but our free PPP course is coming back tomorrow. So holler at me if you want Alright. That is a wrap, y'all, for our first our first rendition of this new weekly feature of AI news that matters. If you're listening on the podcast, please. I cannot stress this enough because, you know, we have Nice, easy access to our livestream audience here as always, and I can't I can't tell you, livestream audience here on LinkedIn and, I guess some people on YouTube how much we appreciate you tuning in. But, hey, if you're listening on the podcast, let me know.
Jordan Wilson [00:32:38]:
When we start doing this this Monday, AI news that matters recap. Please let me know what is going to be helpful for you. We make this show for you, so please give me your feedback. This is our first, 1st, episode of this on a Monday, but here's here's what happens. I feel sometimes by Friday, so much has happened In AI news, it feels like you are hit with with with a ton of bricks, right, especially if you are someone within your organization who is responsible, You you know, for for making sure that your company is is keeping up with generative AI. You know, I've gotten so many emails and messages saying, Hey, Jordan. From from listening to everyday AI and, you know, being a part of this community, I'm now in charge of, you know, AI implementation in my company. So let me know how we can better help you not just talk about what's happening with this AI news, but why it matters.
Jordan Wilson [00:33:32]:
Right. So that's what this this Monday segment is supposed to be is to take, a look beyond the headlines, Right beyond the spend, beyond the PR, and to say, here's what it actually means. Here's what these big news stories, Here's how they're going to impact us all. Here's how they're going to follow us home in our fridges. Right? Here's how, you know, if you're using AI image Generators like MidJourney. You need to be aware of these things. Right? If you're working with a management consultant company That's now announcing, you know, these different GenAI and large language model, you know, implementations or, you know, their own products. Here's what you should know.
Jordan Wilson [00:34:13]:
Here's what you should be asking them. So I hope this was helpful. And, please, speaking of You know, we just talk about midjourney and some, some some legal things that you should be aware of. But, also, hey. Tomorrow, make sure to tune in. We're gonna be talking about The New York Times versus OpenAI And the huge AI implications that no one is talking about. No one is talking about this. Right? So, hey, I was a former journalist for about 8 years.
Jordan Wilson [00:34:40]:
Obviously, have an AI media company now, so I have some interesting insights, into this whole New York Times versus OpenAI Lawsuit, what it's going to mean, and some big implications that no one is talking about. I hope today's episode was helpful. If so, please go to your everyday AI.com. Sign up for that free daily newsletter. Reply to it. Ask me a question. We get to everything. So thanks for joining us.
Jordan Wilson [00:35:02]:
Hope to see you back tomorrow and every day for more everyday AI. Thanks, y'all.