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Flipping the script -- You're in the driver's seat
Today, we switched it up a bit.
(Even though we had some livestreaming issues, which is why there's no video for today's episode.)
Our host Jordan took your questions live.
Let's have some fun! Here's a preview of what we covered:
Utilizing Nuclear Energy for AI Projects
The application of nuclear energy to power AI projects has been an emerging trend among tech giants. With companies like Meta now exploring this avenue, it's indicative that nuclear energy possibly offers robust, long-term power solutions for the compute-intensive tasks associated with AI.
Google's Quantum Computing Chip: Willow
Revolutionizing the tech world, the introduction of a quantum computing chip by Google, known as Willow, is set to significantly advance AI capabilities. This chip promises unprecedented computational speed and may transform industries such as drug development and AI.
OpenAI's Video Tool – Sora
OpenAI's foray into video generation with its tool, Sora, reaffirms the promise video holds in the AI landscape. With a pricing model for varying degrees of accessibility, businesses should explore how these tools can best serve their unique needs.
AI in Email Management
AI tools have begun to carve out a significant role in the everyday task of email management. As we witness a gradual shift from traditional platforms to newer solutions, the integration of AI features could immensely streamline email interactions.
AI Tools and Features across Platforms
From a routine task like posting content on LinkedIn to aiding in the development of a podcast, AI has become an integral part of the digital landscape. Though there are concerns about potential misuse, such as unauthorized, automatic AI-generated comments, AI's potential for enhancing productivity cannot be ignored.
Future Concerns for AI
As AI's reach extends, it brings along concerns about the unknown future of this technology. The uncertainties surrounding generative AI and large language models suggest that adequate understanding of these phenomena is crucial for effective deployment.
The Importance of Human Interaction in the AI Era
There is an increasing recognition that genuine human interaction can't be entirely replaced by AI. As AI becomes pervasive, it is predicted that there will be a growing demand for authentic human experiences. This could include a market for AI-free services and products underlining the irreplaceable value of human touch.
Leveraging AI Tools for Business Operations
The use of AI to assist with various tasks reflects a growing trend. AI agents, although not extensively adopted, are being utilized in different capacities from managing lengthy email threads to assisting in meticulous meeting transcriptions.
Future Prospects of AI
In the foreseeable future, AI is expected to dramatically reshape entertainment, with real-time AI-generated media emerging as a new norm. AI models like Chat GPT and CoPilot will continue to lead the landscape, while the race for achieving Artificial General Intelligence (AGI) remains a hot industry topic.
Understanding and harnessing the power of AI has the potential to create game-changing solutions for businesses across industries. For entrepreneurs and decision-makers committed to staying ahead, continuously updating their AI literacy and carefully understanding its implications will ensure they're better equipped to leverage this technology for their benefit.
Topics Covered in This Episode
Podcast Transcript
Jordan Wilson [00:00:15]:
I've been lucky enough to be able to talk to some of the smartest people in AI in the world. Right? From the fast growing startups like OpenAI to leaders at big tech companies like Microsoft and NVIDIA and IBM and also small business entrepreneurs, Fortune 500 leaders. I've brought them all live to you on this very show. Yes. This is a podcast, but it's also a live stream. But I thought I've been able to let you guys ask questions from 100 of guests, but never really let you grill me. So that's what we're gonna be doing today on a special edition of Everyday AI. Kind of a hot take Tuesday, but you all get to grill me.
Jordan Wilson [00:01:06]:
Alright. I'm excited for this one. What's going on y'all? My name is Jordan Wilson and welcome to Everyday AI. This is for you. It's a daily live stream, podcast, and free daily newsletter helping everyday people not just learn about AI, but how we can all actually leverage it to grow our companies and our careers. And, it starts here. Yes. On the live stream slash podcast, but where you really make this go to work for you is on our website, your everyday ai.com.
Jordan Wilson [00:01:36]:
Go there, sign up for our free daily newsletter. So, yeah, we bring you guests down every day except today, right, or most days, we have a guest on and we actually write a recap, from the most important insights from the guests, as well as in our newsletter, bringing you everything you need in, you need to stay up to date and to get ahead. So make sure if you haven't already done that, go do that. Alright. So before we get in and let you all grill me with your questions, we're gonna start as we normally do with the AI news. So first, Meta is reportedly turning to nuclear energy for its AI power needs. So Meta, according to reports, is exploring nuclear energy to power its energy intensive AI projects, aiming to operationalize nuclear reactors by the early 20 thirties according to sources familiar with the discussion. So this move aligns Meta with other tech giants like Google, Microsoft, and Amazon who are also either considering or already making moves on nuclear power to support their AI initiatives.
Jordan Wilson [00:02:38]:
So despite its reliability and low carbon emissions, nuclear energy remains controversial due to safety concerns. Alright. Next piece of AI news. A huge one. Any other day that we didn't have a big announcement from OpenAI, this would have been our top story. But Google, has developed a quantum computing chip named Willow, which can complete tasks in 5 minutes that would have taken the fastest classical computers 10 septillion years. I don't even know how many a septillion is. So the chip is comparable in size to an after 8 mint, promises to revolutionize drug development by expediting the experimental phase according to reports.
Jordan Wilson [00:03:21]:
This breakthrough is part of a series of advances since 2021 in quantum, suggesting that quantum computing could transform research and development of new materials within 5 years. Willow is noted for being less prone to errors than its predecessors and could significantly enhance artificial intelligence capabilities. So quantum computing leverages the principles that mat, that matter can exist in multiple states simultaneously, enabling vastly larger calculations than classical computers. And obviously, this is pretty big for AI developments. Right? Well, it's big for everything. For for life, for technology, for scientific discovery, for everything. Right? But, think of what life was like before computers and the Internet and AI, and how much that's changed. Take that times like 20 in terms of what quantum computing could actually do for our everyday lives.
Jordan Wilson [00:04:14]:
Alright. And then last but not least, the big piece of AI news for the day, OpenAI has officially launched Sora. It's new AI video generation tool that allows users to create videos and images in various styles from realistic to abstract. So this marks a significant expansion into the AI video space for OpenAI, and this comes about after 10 months. Yeah. We first heard Sora 10 months ago when OpenAI previewed it. So we really had to wait for a long time and we finally got it. So this is part of OpenAI's kind of 12 days of OpenAI for the holidays, running daily announcements until December 20th.
Jordan Wilson [00:04:55]:
So Sorra, is available to users through different subscription tiers. So only with ChatGPT Plus, the $20 a month plan, and ChatGPT Pro, the $200 a month plan. So if you are on a free plan, you're not gonna be able to access this, so you can go to sora.com and there is a credit system. And I'll tell you this, the chat gpt plus plan, the $20 a month plan that so many of us are on, you're not gonna get a lot out of So if you really wanna push it, or really use it all aside from some basic experimentation, you're not gonna get that. So on the chat gpt plus plan, there's always watermarks. You can't use humans. You have to be on the $200 a month plan. So, you know, my initial testing, I did a video on it, so make sure, you check out the newsletter today.
Jordan Wilson [00:05:40]:
We'll be linking that. You know, it's it's it's impressive. The outputs are good. Love the user interface, but you yeah. In terms of limits right now, super limited unless you are on that $200 a month plan. And even on that, if you are a a a an avid user, a a a hardcore creative, this is not gonna, I don't think, you know, give you what you actually need in terms of limit compared to other programs like Runway or Luma. Alright. Let's get into today's show and well, a little bit of a bummer.
Jordan Wilson [00:06:12]:
So, I promise y'all I wasn't trying to dodge any questions like Allison on LinkedIn was saying. So, we actually attempted the live stream this morning, and sure enough, our live streaming platform wouldn't let me go live. Right? So that's just how technology works. I I I don't think I've ever done this in 400 plus episodes where I'm like, alright. We're gonna you know, you guys can grill me live, ask your questions, and sure enough after 20 minutes, I realized the live stream wasn't working. Well, people told me after 3 to 4 minutes, and I tried to troubleshoot. So, you know what? If if you know of any other easy live stream platforms, it looks like we've been using StreamYard, so I'm gonna have to jump and use something else. So, you know, we always if you're listening on the podcast, which on this one, well, you definitely are since the live stream is broken.
Jordan Wilson [00:06:58]:
Let me know what your favorite live streaming platform is. We're gonna have to make a switch. Alright. But don't worry, I'm still gonna let you all grill me because I did copy and paste over all the questions, and I promise you this. Some of them were long questions, I didn't even look. Alright? Some of them that were short questions, obviously when I'm copying and pasting them I can see. But I wanted y'all to actually be able to grill me, so I didn't You know, some of you I can see left long questions. I didn't read those.
Jordan Wilson [00:07:24]:
I copy and pasted them, put your name in there. So let's get to it. We're gonna go rapid fire through all of these questions. It's hot take Tuesday, so, I'm gonna try to give you my honest, just bold take. So, without further ado, let's get into the questions. And most of these are from, LinkedIn. I'm sorry. We had multiple streams on YouTube, and the first stream, I couldn't pull the questions off.
Jordan Wilson [00:07:47]:
So if you were listening on YouTube, I'm sorry about that. Might have missed some of the questions. Alright. So, Allison and Mark just kinda joking around saying, are you just trying to dodge our questions? No. Mark, love this. This made me joke. Does Jordan have laryngitis? Yeah. Because I was talking for like 3 to 4 minutes before anyone could notice, or before I noticed that the audio wasn't working.
Jordan Wilson [00:08:08]:
Woozy said, hey. First question, how do we hear you today? Well, that's on the podcast, I guess. Fred joking around. How about using your Jordan avatar? Yeah. I could've. I could've. Alright. Now let's get into the real questions here.
Jordan Wilson [00:08:22]:
Had to shout those out because some of those made me chuckle. Alright. So, Michael asking, do you use AI to manage your emails, like auto respond, calendar? If so, how? Good question, Michael. So, the short answer, and I don't know if anyone else asked about this, but when it comes to just what AI I use, I'm currently in the transition, from going from Mac products to Windows. So, I I literally, in front of my face, have a brand new, what is this? This is a Microsoft Copilot Plus Surface PC 7 or something like that. So I I've tried inside of Google Gemini to use it to help with emails. I've tried a handful of other programs. Some work well, some not so much.
Jordan Wilson [00:09:14]:
So the only if I'm being honest, I don't get a ton of email. I unsubscribe to everything. I suck at email. Right? So some of our partners that reach out to me all the time know this. So for longer email threads that where I find it hard to keep up, Gemini is okay at that, but that's one of the reasons why I'm switching over. So, I've been using, the Copilot subscription on my Mac, but not all features are available like in Outlook. As an example, there is no Copilot if you're using it on Mac. Whereas in Microsoft Word, in Excel, there is Copilot.
Jordan Wilson [00:09:48]:
So yeah. I'm definitely looking forward to, the the the Gemini email, kind of offering leaves a lot to be desired. It kind of stinks, and I've reviewed this on the channel. So, right now I'm using AI a little bit to manage my emails, but not a lot because number 1, not a lot of people email me. And number 2, when they do, it's generally a little, you know, shorter. But when there's long email threads, big projects, I do copy and paste it, and kind of strip out any, you know, PII or anything like that. And then I will chat, usually with notebooklm or with Claude. Just does a little bit better with long context windows.
Jordan Wilson [00:10:33]:
Hey. This is Jordan, the host of everyday AI. I've spent more than a 1000 hours inside Chat GPT, and I'm sharing all of my secrets in our free prime prompt publish Chat GPT course that's only available to loyal listeners like you. Here's what Lindy, who works as an educational consultant, said about the PPP course.
Jordan Wilson [00:11:12]:
Everyone's prompting wrong, and the PPP course fixes that. If you want access, go to podpp.com. Again, that's podppp.com. Sign up for the free course and start putting chat g p t to work for you. Alright. Couple more questions from Mike, saying, from Michael Peggins, who joined us on YouTube and LinkedIn. So thanks, Michael. And I know you sent me some, recommendations on live streaming, so I'll check that out.
Jordan Wilson [00:11:42]:
So Michael saying, do you actively use any AI agents at the moment? I test I test them out. There's new ones every day. Right? Am I using anything consistently? No. Not right now. Again, with with my workflow right now, you know, it's pretty simple. So I have Everyday AI. Right? That's one of my companies. We do this podcast, this live stream.
Jordan Wilson [00:12:05]:
You know, we have sponsors. Right? We have advertisers like, Adobe and Microsoft are our last two advertisers. So, you know, aside from that, I do have another business, Accelerant Agency. We've been doing digital strategy for companies for, when did I start accelerating? About 7 about 7 or 8 years ago. But I've talked about that. We've been winding this down. So I actually don't have this might sound weird. Aside from this podcast, which I'm not great at making money on, I don't have a lot of client work per se.
Jordan Wilson [00:12:38]:
So yeah. Not using any AI agents at the moment aside from testing them out. I do think that will change once I get this, this PC set up, and using Copilot Studio. Right? Windows or sorry. Microsoft 365 Copilot, extremely excited. As most of you know, I was at the Ignite conference. Was invited out there, and just being able to talk with the people actually building Copilot Studio. Right? I had Ray Smith on who's the VP of AI agents at Microsoft.
Jordan Wilson [00:13:10]:
I talked to, probably at least 10 other, people at Microsoft who are responsible for building agents. Right? Across their, entire line of product offerings. And, I'm extremely excited, to kind of finally get this computer set up. Alright. Michael also asking, how many people are on the everyday AI team? Good question. Very small. We use a lot of AI even though we don't use a lot of AI agents. We do kind of duct tape certain AI software together with Zapier to make everything super simple.
Jordan Wilson [00:13:42]:
But right now, there's really 2 of us full time. Have another quarter time contractor and, you know, other people helping out on an ongoing basis. But in terms of, like, who's actually staff? Like, 2.25 of us. Alright. Ted. Ted asked, are you using the chat gbt extension in Chrome as a replacement for search? What are the advantages? Ted, great question. Yes and no. So, yesterday, I actually disabled it because, at least for me, it's not where I want it to be yet.
Jordan Wilson [00:14:18]:
So for about half of my searches, I loved it. Right? The other half hated it. Here's why. So as an example, a lot of times, I would just be putting in, a simple, like, I don't know, a restaurant or a store. Right? And I have that habit in my brain. I you you know, because I use Chrome and Edge. And when you do that, essentially, you get like a local business and you get their address, their phone number, their map. Right? So for those type of searches, I was going bonkers, by using the chat gpt extension.
Jordan Wilson [00:14:52]:
For the other half, great. Right? So some of these more phrase searches and things like that. I know also I can't just type in Google and hit tab, with the ChatGPT extension. But if you're new and you don't know the ChatGPT extension, it is great for a lot of things. Right? But essentially, when you use the address bar in Chrome or in Microsoft Edge because it's based on Chromium and it works there as well. Essentially when you would go into your, you know, URL bar and type a search, instead it automatically just launches that in Chat GPT. So like I said, for certain, searches, fantastic. Right? But if it's something if it's something very simple, not so good always.
Jordan Wilson [00:15:36]:
So you just have to keep that in mind, you you know, but try it out. Try it out. It's, it's definitely worth looking into if you haven't yet. Alright. Next, a couple from Cecilia here. Cecilia is asking, which of the meeting apps in the Zoom Microsoft Teams vein is best at incorporating AI? So there's pros and cons to Zoom, and I've had, you know, multiple people from Zoom on the show. One thing that I don't like about Zoom's AI is I don't know if it actually records a full transcript, which is what I like most of the time. I haven't used, Google's, if I'm if I'm being honest.
Jordan Wilson [00:16:25]:
Right? Like, I'm not a huge fan of of Google Gemini across the Google Workspace. For whatever reason, it doesn't work that well. So, I've I've tried it in Google Meet, don't like it, and I haven't tried it in Microsoft Teams because, like I just said, still in the kind of transition phase. But, for meetings, I like using either MeetGeek, which is something I've talked about on this show before, as well as Otter. So at least for me right now, probably until I fully integrate myself into Microsoft and Teams, which I'm excited for because Microsoft did just, at Ignite, announce some new, kind of Teams agents. So a facilitator agent, and also like a translation agent. Like, you can literally speak another language in real time, which is nutty. Alright.
Jordan Wilson [00:17:13]:
Thanks for that question. Cecilia, also asking what is your favorite model to use for voice transcription? Great question, Cecilia. So I do use, a lot of other, programs for this. Right? And sometimes these different programs, you can choose the transcription model. Right? So I use Otter, I use Otter AI to transcribe audio. Also Cast Magic, we use that on a literally a daily basis for this podcast, but I also run some things locally. So, as an example, Mac Whisper, is a cool program that I use on, my my computer sometimes to transcribe audio locally there. Super fast, super cheap.
Jordan Wilson [00:17:54]:
You just plug in your API key. But for the most part, I believe, that, OpenAI's Whisper model is probably the best and most accurate. Although, I did see some rumblings recently, online. I'm trying to remember. Let's see if I can, look it up here. I think it was Fireworks, AI. I think it was one of the models that I I looked at, and I'm like, wait. That's pretty good, in terms of, like, transcription time.
Jordan Wilson [00:18:22]:
But, yeah, Cecilia, for the most part, I'm using Whisper from OpenAI. Great model. Easy to work with. Alright. Samuel asking, I believe this one was on YouTube, says do you have any custom GPTs that you use regularly? Absolutely, Samuel. So I do a lot of them for planning this podcast. Right? So, when guests, submit to the show, so there's a couple process. There there's a couple steps in our process.
Jordan Wilson [00:18:51]:
Right? So, hey, if you're even listening to this, let me just throw this out there. If you are listening to this and you're like, wow, my CEO would be great for this show or our, you know, CMO. I love to get them on. You can go pitch. Right? We hide this on our website but you can literally just go to your everyday ai.com/pitch. Right? Pitch your guests. We we get a lot of guests that pitch to come on the show. We don't take a lot of them on, but we do take some of them on if if there's a good story.
Jordan Wilson [00:19:19]:
So make sure you fill that form. Anyways, once we get a guest, once we accept a guest on the show, because we we we we don't want people just coming on and selling you guys. Right? We wanna get good guests who can really bring value. But anyways, once they do, there's a little form that they fill out. And then essentially, I take the results of that form, and sometimes it's a lot. It's a lot of information. And I plug all of that into a custom GPT that I've built that helps me, I have a couple different ones. And yes, I could use one GPT that does all of these things, but I'll tell you all as I tell everyone else, I think GPT's work best when you get them a very narrow scope.
Jordan Wilson [00:19:59]:
Don't try to have them do everything. So I have a a series of, I believe 3 different GPTs that I sometimes use for podcast planning. The one that I probably think is the best or the one that I use the most, well, it's helping me just come up with titles. Right? I know that sounds dumb, but a podcast title is means a lot. Right? So, usually, we have the guests submit 1 or 2. I'll have an idea for 1 or 2, and then I essentially copy and paste all this information. And a lot of times, right, and I have Chat GPT go do some research, right, based on the information. So it's not just like, here's a bunch of text, go give me podcast titles.
Jordan Wilson [00:20:36]:
It's like, no. I have custom instructions in there that, you know, instructed to browse with Bing, you know, find trending topics in that field. Because sometimes I might not know, right? Like, had a pretty great guest a couple of weeks ago on quantum computing. I don't know quantum computing. It went out there, this GPT, the custom GPT found some trends and it gave me some good suggestions. Right? Still human in the loop. Right? I I control what information I put in there on that GPT. It kicks things out.
Jordan Wilson [00:21:04]:
I look at them. I'm like, yep. This is good. Right? But I give it, I give it good instructions. Right? I say it needs to be a click worthy title. It needs to have a, you know, one of the main keywords, in the front end of the title. Right? Because when you're scrolling through on Spotify, you don't you don't always get the whole title. So simple things like that as well as doing additional research on topics that I don't know.
Jordan Wilson [00:21:27]:
So I have another one, that helps me research. Again, this is just the first steps of research. I'm still the human, right? I still go through and read all this. Yeah. So those are just 2 GPTs that I use pretty frequently. We also use projects. I I I use gems sometimes in Google, Google's version. I don't think they're that great, but that was like 3 months ago when they first came out.
Jordan Wilson [00:21:48]:
I'll probably give them another run. As well as we use a lot of other tools. You know, desktop tools like Bolt, we use what else do we use? Po, I I like using ChatHub. So you you know, some of these where you can build, essentially the equivalent of a custom GPT, in these other platforms. So yeah. I I use the concept of these custom GPTs very often. Cecilia. What are the chances that AI community that the AI community will stop using acronyms and speak clearly so they can be understood by everyone.
Jordan Wilson [00:22:22]:
Yeah. Asking, asking about, just, accessibility. So I'll say probably not a lot. Right? Like as an example, if I every time I wanted to say reinforcement learning from human feedback, That's tough. That's a mouthful. Right? So a lot of times I just spit out r l h f or r l h f. Right? Or rag. Right? If I'm talking about rag.
Jordan Wilson [00:22:47]:
Like, I always try to first first reference. Right? Maybe from my old journalism days. I always like to say retrieval log many generation at least once. But then I'm like RAG. Right? In your RAG pipeline. Right? So I I don't know. I think for the most part and sometimes people don't even know the acronym. So maybe even Cecilia, maybe I should do a better job at making sure I do this.
Jordan Wilson [00:23:06]:
Alright. Guillermo, former guest from way back in the day. Quite a few questions here. So I'm gonna try to answer them quickly 1 by 1. So he says, as AI advances and generates everything flawlessly, perfect deep fakes, digital clones, optimized content, Do you think we'll see a growing market for authentically human experiences? Gee, abso frigginlutely man. That's why I do this. Right? I saw this 3 years ago before I even decided to start a show. Right? Because I even at that time, I'm like, yo.
Jordan Wilson [00:23:35]:
Like I know pretty soon a deep fake Jordan is gonna be just as good if not better. But I can interact with you all live in real time. I stutter sometimes. Right? I say the wrong words. I do think that there will be something in the future where kinda like it's like, you know, if something's think of like going to a farmer market. Right? And you're like, oh, this is local. This is handmade. Right? And this is handcrafted.
Jordan Wilson [00:24:02]:
I do think that AI generated content is gonna be so commonplace in a year or 2. You're literally gonna see people, you know, marketing themselves or their products as not using AI. Right? That's why I love doing this thing live. And yes, I could just use an AI avatar, or I could clone my voice on 11 Labs and it's really good. And I could just not do this podcast. Right? I could just have AI do it. I do think one thing that AI will not replace is human connection. Even though you all can't tell right now, in theory.
Jordan Wilson [00:24:33]:
Right? In theory, this could be my 11 Labs clone. It's not. It's actually me. That's why I take questions from the live audience, and obviously this is the day where things don't things don't work. G also asking where AI can create anything, could the real thing, quote unquote, become a luxury? Yes. Exactly what I'm talking about. I do think, in the future there will be a premium on human made content. This is multiple part questions here from G.
Jordan Wilson [00:24:56]:
So also saying, will we, the pre AI AI generations, start craving unfiltered raw human moments? Like live concerts? Yes. Oh, absolutely. Sing like AI free weekends. Yes. It's if I'm being honest, I think it's gonna get overwhelming. I think I think AI's infiltration, and yeah, you might be like saying like, oh, okay, Jordan. AI infiltration. You're the one pushing this.
Jordan Wilson [00:25:22]:
Yeah, I am. But I'm also trying to help you all understand it, and help us all understand it. Because I think it's actually gonna be, much more consequential than we actually think. I don't think AI and and generative AI and large language models are gonna be this thing that continue to just live on the internet and we have to go seek it out. No. AI content, AI entertainment, AI interactions are going to find you whether you want them or not. Right? And you're not gonna have a choice. I was thinking the other day, I'm like, there's gonna be times, I think probably in 2025, where you're gonna be interfacing with a company, and the only option you will have is AI.
Jordan Wilson [00:25:55]:
Until there's a law. Right? You might go on their website, it's a chatbot, it's AI. You fill out a contact form or an email, an AI response. You call them, it's an AI voice agent. I literally think that there's going to be some companies in the near future where you will not be able to interact with a human, which I think is terrible. Right? Like, I want you all to know this about me. Just because I talk about AI and I enjoy it and all these things, I, like, I don't think that it needs to replace all of us humans. Right? I think in some situations, talking to an AI will be much better than talking to a representative and waiting on hold for 45 minutes and talking to someone in the call center and you can't hear them cause it's it's, you know, their keyboard's loud and their 5 co workers, like, I have bad hearing.
Jordan Wilson [00:26:38]:
I can't I can't hear that. Right? I'd much rather, in some instances, talk to a human, but I do think that there will be almost a luxury market for that. And then, Guillermo also asking, is there a future market for products and experiences explicitly branded as free of AI? Absolutely. I've already seen that a little bit out. I think with some creatives, some photographers, you know, they just say, you you know, not using AI. But, yeah, I do think it's gonna people are gonna lean into it heavily. Alright. Philip Philip's got 5 questions, so I gotta go quick here.
Jordan Wilson [00:27:11]:
Alright. Philip, what's your take on the Chat GPT Pro plan? Well, $200 a month. It's pricey. But I've been saying all along, literally, I I said this a year or 2 ago. I said, I wouldn't be surprised. Before there was all these official reporting, from the information, I said I wouldn't be surprised if someday there's a multiple $100 or multiple $1,000 tier of OpenAI. Right? As they get toward Agentic AI, you can't have that for $20 a month. Right? You literally can't.
Jordan Wilson [00:27:43]:
So what do I think of the pro plan right now? Well, I think that we're gonna see a lot more, value to it in the coming days. Right? So we're only, 3 days now into OpenAI's 12 announcements. So we're gonna see 9 more announcements from OpenAI, and I'm guessing at least half of them, will have features that are only available or mostly available, on that $200 a month tier plan. So, it's too early to tell right now. Right? So right now the only differentiators are the o one pro model having full, no limits on the GPT 4 o, and then better limits on Sora. So, right now, I I I think $200 is a little steep, but I'm pretty sure we're gonna see some things over the next 9 days of announcements that will even more, justify that $200 a month price tag. So second question. What are the top five trends expected to shape the world of AI in 2025? Oh gosh.
Jordan Wilson [00:28:41]:
I don't know if I can think of 5 on the fly. Like I told you guys, I didn't like re research these questions beforehand. I wanted to give you my honest and reaction. I don't know if I can label off 5, Philip. I do know we're gonna be doing another show on like 25 predictions for 2025, so I wanna give this some some thought. I know right away, AI, like customized AI entertainment. It's gonna be everywhere. Right? I I think we're gonna get in 2025, custom AI TV shows, shorts, websites, games.
Jordan Wilson [00:29:11]:
Right? Literally, being able to generate live personalized games in real time. So I will say, agentic AI. I'll say, voice AI. I'll say real world, or real time entertainment. Saw some things NVIDIA was working on, that they haven't released yet. It's it's gonna be pretty wild, but we'll we'll do a full show on that soon. Philip also asking, which three large language models are expected to stand out the most in the coming year? Great question. I mean, obviously, Chegg, gbt.
Jordan Wilson [00:29:42]:
Right? They're so far ahead. People are always like, especially, like, you know, hardcore AI people, like online, on Twitter, on Reddit, everyone's like, oh, Claude Claude, Sonnet. Right? I think it's like one of those things right now. It's like you you feel trendy by saying, oh, Sonnet. You know, Sonnet 35, 35 News, Sonnet 3 like 36. It's better. Right? It's better in a few things. The only thing that I use Claude for right now, if I'm being honest, is artifacts.
Jordan Wilson [00:30:08]:
Right? So that's the, kind of the split screen or dual pane ability, right now for Claude to render something in real time. But between Chat GPT's canvas mode, which does that for writing, and I do think that we're gonna see over the next 9 days Chat GPT release their version. Could even be today. I I do think that they're gonna be able to they will release their version of artifacts. So number 1, Chat GPT. Number 2, I mean it has to be CoPilot, even though that's technically not a large language model. It has to be CoPilot. And then I'll say, you know what, I'm gonna say one of the the Chinese models.
Jordan Wilson [00:30:45]:
Alright. Maybe Kwen. Very impressive. I think they just got internet access today. I think China is going to become a leader, in the LLM game in 2025. They lacked behind, from 2022 until the Q2 of 2024, and now they're a dominant force. So, that'll be my answer. Philip also asking, when will we achieve AGI and what are the key principles guiding its development? Good question.
Jordan Wilson [00:31:14]:
So I'll say this. Depending on the definition, we're technically already there. Alright. A staff member, on Twitter from open sorry. An OpenAI employee on Twitter said he thinks they already have achieved it. Right? If you look at the definitions of artificial general intelligence, and if you're new here that's essentially when a single AI system is essentially smarter than the smartest humans at almost all tasks. If you look at the the definition from 15 years ago, we've a 100% achieved AGI, but the definitions are always changing. Right? Literally.
Jordan Wilson [00:31:48]:
Go go on to archive.org. Right? The internet archives. Go look at definitions. I did this for a show so you can go listen to that show. Go look at definitions of AGI from 2008, 2012, 2015. We've achieved it. Right? According to those ones, but according to the AGI definition of 2024, everyone has a different definition. Right? It's I think, fortunately, unfortunately, OpenAI is the one that decides it because of their partnership with Microsoft and their AGI clause, which we've been covering.
Jordan Wilson [00:32:19]:
Right? So I mean, a lot of people see it. Right? And especially especially with these agentic, reasoners and these, new models like o one, the QWQ model from Quen, these reasoning models. When you combine a reasoning model, with Agentic, right, Agentic capabilities, I'm like, yo, I don't know. Is is this AGI? Probably. Maybe. Maybe not. I don't know. So it's it's more of who is defining what AGI means now.
Jordan Wilson [00:32:49]:
Alright. Fred asking, with so many changes happening, it's sometimes difficult to know which model you think is best. What are your 5 favorite models today, front end, and for what purposes? So yeah. Like, if I'm being honest, I really only use Frontier models. Right? So, chat g p t or the g p t four o models. Meta, 32. Been testing 33 a little bit. Anthropic SONNET 35.
Jordan Wilson [00:33:14]:
I don't really use anything else from Anthropic, from, you know, the quad models aside from the new 35 SONNET, or 35 SONNET V2, 36 SONNET, whatever you wanna call it. And and and then for the most part, I test other models. You know, the Quen models, so I'll go into Hugging Face, test out models. But for the most part, at least if we're talking about kind of like, quote unquote text based models, I'm not using a lot of them. Right? I do have to try out Nova a little bit more, from Amazon. But Fred, for the most part, you know, it's it's like, you know, in Gemini. I like to use Gemini in the AI studio because on the front end of Gemini, it's using an old model. So yeah.
Jordan Wilson [00:33:54]:
I I stick to the basics. I know that makes me like pretty basic and boring, but that's the reality. And then for okay. So for what purposes? So I love using notebook LM which is powered by Gemini, for just factual information, right, as a grounded model. I like using Claude, kinda like I mentioned, for its artifacts feature being able to render things in real time. I like using Chatgbt for just about everything else. I like using Copilot on the web, even though I know Copilot is not its its own model. It uses, you know, GPT 4 o.
Jordan Wilson [00:34:28]:
Tara, have you tried the Sora on the $200 plan? I was curious to see what the difference for in speed for processing Sora on the $200. So I have not yet. I'm still on the $20 plan. Life's been a little busy over the last couple of days. Got actually doing some, some slight home renovations in case over the last couple of days you've been hearing banging in the background, because I normally record this show at home. So I haven't actually had time. Hopefully I will this week to fully try out the $200 plan. And I know they have been kind of restricting sign ups as an example for Soras.
Jordan Wilson [00:34:59]:
I know I got gotta get that going sooner rather than later. But like I said, Tara did do the, the $20, the normal chat gbt plus, Sora. I do know you get more credits. I think you do get some like, priority access, you know, when things get busy. But I haven't done the $200 plan yet. Tara asking, what are your thoughts about the AI comments and DMs people are receiving on LinkedIn? I have mixed feelings. Right? Part of it, right, LinkedIn is encouraging you to use AI. Right? It has that right post with AI.
Jordan Wilson [00:35:35]:
I'm sure that they're going to, at some point, roll out that same, that same thing for comments. I wouldn't be surprised. But yeah, there's dozens of Chrome extensions and and services that, you know, just write AI comments. And some of them do it automatically without you even browsing or without you even approving. You just connect to your LinkedIn, which is against LinkedIn's terms of services. It just automatically comments things with AI. So not a huge fan of it, if I'm being honest. I don't think there's any way to necessarily stop it.
Jordan Wilson [00:36:05]:
Alright. And I I think we got to all the questions. It's our last question. Yeah. We had about 20 questions. I went through them all. Looks like last question here. And again y'all, I'm sorry the live stream got this kicked off because I'm sure we would've got some more questions in from you.
Jordan Wilson [00:36:19]:
So maybe we'll do it next year. Right? I feel I'm gonna curse myself if I say, oh, we'll do it again next week, and it's gonna not work again. Alright. But, Ben, last question. Love this one. So saying, as someone who's seen way more behind the scenes than most of us, what's the one thing keeping the experts up at night? Great question, Ben. I have to ponder about that. Right? Because obviously, I talk to a lot of people.
Jordan Wilson [00:36:43]:
Some of them are quote unquote on the record, right here on the show. A lot of our guests I talk to before and after the show. Things that maybe they didn't wanna say in their official position. When I go to conferences as an example, I talk to people all the time. A lot of people. I'll say this. The unknown. I think that's what is keeping the experts up at night, because even the experts don't necessarily know.
Jordan Wilson [00:37:14]:
Right? They don't. I mean, it depends on on what area of AI. Right? Artificial intelligence has been around for many decades. I get it. But if we're talking about the new way of generative AI and large language models and their development, you know, transformer models, you know, reasoning models. Right? Even the experts, even the ones building them. If you listen to, you know, go read their long essays, their research papers, they go on podcasts. Right? Even the the the experts, there's an element of this technology that they don't understand.
Jordan Wilson [00:37:44]:
So I'll say that is the thing keeping most experts. Aside from implementation and measuring ROI, right, like the boring answers, but otherwise I'll say it's the unknown. No one knows, not even the people building the technology. No one truly knows what's next. Right? They know what they're working on next. They know what what the, you you know, consumers are demanding, but no one necessarily knows what's actually happening next. Right? This is the the you know, I think one of the first times. At least in my, you know, I'm gonna be nice to myself and say 30 plus years of life.
Jordan Wilson [00:38:25]:
I can't say that too much longer. I think most technology, right, it's the humans telling the machines what's possible. Now, it's humans challenging machines to create a new possible, which is scary. It's thought provoking. Right? It makes us all rethink intelligence. It makes us wonder what's next. Right? But I've talked to literally dozens of people, some on the show, some not, that have said that exact same thing. The thing that keeps them up at night is, hey.
Jordan Wilson [00:39:08]:
Machines and AI are creating our future, and we have to live in we have to live in it. We have to make the most out of it. Alright. Nothing like ending on a super, deep question like that from Ben. So alright, y'all. Thank you. Thank you especially to all of our livestream, people that, you know, stuck around for 20 minutes as I was trying to get our our tech, figured out this morning. So, hopefully we get it figured out here soon.
Jordan Wilson [00:39:40]:
And hey, for for the podcast people, thank you for listening to this as well. I know it's a little different one. I wanted to give right? I'm always so very appreciative of the people, who who attend live, whether it's on LinkedIn, or YouTube, or you know, some people join on Twitter. Right? So, if you are a avid podcast listener, we have great guests all the time. And you can actually I know it's 7:30 AM Central Standard Time. So, you know, it's 8:30 if you're on the East Coast. It's 5:30 if you're in California. It might not be the best time for you.
Jordan Wilson [00:40:13]:
But you can always ask even after the fact. We always put the link, to the LinkedIn post. Well, except for today, in our podcast description as well. So, that's one thing. You know, getting back to Guillermo's question about kind of authenticity and and and humans role in AI. I want everyday AI to be that place where us humans that are just trying to figure it out. Right? No one here is is trying to, you know, say that they're the leading expert in anything. This is the place that you go to learn about AI and how we can all work together and leverage it.
Jordan Wilson [00:40:47]:
So if you are an avid podcast listener, please consider joining us on the live stream sometime. Stop by, say hi, ask a question. So thank you all for sticking around for this, interesting episode. If you haven't already, please go to your everydayai.com. Sign up for the free daily newsletter. We will be recapping yeah. I guess we'll even do a short recap on today's, today's episode. But we recap it every other day as well as in our newsletter, we tell you the latest news, fresh finds from all across the Internet, upcoming shows, everything you need to know to be the smartest person in AI at your company.
Jordan Wilson [00:41:21]:
Thanks for tuning in. Hope to see you tomorrow and every day for more everyday AI. Thanks, y'all.
AI Insights Expert [00:41:27]:
And that's a wrap for today's edition of everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit your everydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers, and we'll see you next time.