Ep 166: AI Summit NYC Recap – 5 things that stood out (and some scary things.)

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Navigating the Current Landscape of AI: Insights from AI Summit NYC

In today's episode of the Everyday AI podcast, Jordan shares five key observations from their attendance at a prominent AI Summit in New York City. The insightful recap of the event sheds light on the current trends and challenges in the artificial intelligence landscape. As a business owner, decision-maker, or professional interested in AI, understanding the key takeaways from industry events can provide valuable insights for leveraging AI effectively within your organization.

Data-Driven Focus: The Gold Rush for Data in AI

One striking observation highlighted in the episode is the pervasive emphasis on data among exhibitors and speakers at the AI Summit. This data-centric focus underscores the crucial role of high-quality and structured data in driving AI initiatives. For businesses aiming to harness AI capabilities, ensuring access to comprehensive and clean data is vital for the success of AI applications and initiatives. The episode’s discussion underscores the significance of data as the foundation for effective AI integration and the necessity of robust data management strategies.

Generational Dynamics: Assessing Age Demographics at the Summit

Another noteworthy insight relates to the age demographics observed at the AI Summit. Contrary to expectations, the event seemed to be characterized by a paucity of younger professionals, raising questions regarding the engagement and participation of the younger generation in the AI landscape. For companies and organizations seeking to incorporate AI into their operations, understanding the generational dynamics and potential barriers to younger professionals' involvement in AI-related initiatives can offer valuable perspectives for talent acquisition, training, and knowledge transfer.

Reinventing the Wheel: The Prevalence of Replicated AI Solutions

The episode also highlights the prevalence of duplicative AI solutions exhibited at the summit, with numerous companies seemingly offering similar or overlapping AI offerings. This observation underscores the challenge of differentiation and innovation in the AI marketplace. For decision-makers and business owners, this reinforces the need for comprehensive market analysis and due diligence when considering AI solutions, in order to identify unique and effective offerings aligned with their business objectives.

Navigating Uncertainty: No One Has It All Figured Out

The insight that no single entity has a complete grasp on AI implementation and utilization serves as a reassurance for businesses navigating the evolving AI landscape. This revelation may provide solace to decision-makers and professionals who have felt a sense of apprehension or uncertainty regarding their organization’s AI initiatives. Recognizing that the AI journey is characterized by shared discoveries and shared complexities can foster a collective spirit of learning and experimentation.

Knowledge Disparity: Addressing Gaps in General AI Awareness

Finally, the episode raises the issue of knowledge gaps observed at the AI Summit, reflecting a lack of awareness about key AI developments and offerings. This underscores the importance of ongoing learning and information dissemination, emphasizing the need for professionals to remain informed about relevant AI developments and advancements. For businesses seeking to leverage AI effectively, promoting an ethos of continuous learning and knowledge-sharing can aid in addressing information disparities and fostering a cohesive and informed organizational AI strategy.

Conclusion

As the AI landscape continues to evolve and mature, staying apprised of the developments, challenges, and dynamics within the industry is crucial for businesses aiming to harness AI's potential. The insights gleaned from the recent AI Summit provide valuable guidance for decision-makers and professionals seeking to navigate the complex AI terrain effectively. By capitalizing on these observations and aligning them with their organizational strategies, businesses can position themselves to leverage AI optimally, driving innovation and growth in an increasingly AI-driven world.

Topics Covered in This Episode

1. Jordan's experience at the AI Summit in New York City
2. 5 Key Observations from the AI Summit
3. Audience feedback and questions


Podcast Transcript

Jordan Wilson [00:00:18]:

I spent 3 days with some of the brightest minds in artificial intelligence. Dozens and actually hundreds of people that I talk to, and There was 5 things that really stood out. So I spoke at the AI Summit in New York City, One of the largest AI summits in the world. And today, I'm going to share with you 5 things that stood out and some pretty scary things, actually. So, Welcome. If you're new here, my name is Jordan Wilson. I'm the host, and this is Everyday AI. Everyday AI is a daily livestream, Podcast and free daily newsletter helping everyday people like me, like you, learn and leverage generative AI.

Jordan Wilson [00:01:07]:

It's so hard to keep up. There's there's literally more AI news every single day than 1 person can read. There's always new tools, tips, techniques. So that's that's what we talk about here on the Everyday AI Show. So a lot of times I have a guest, but today it's just me, and I'm gonna be sharing about my own experience. So, we're gonna get to that in a second. If you are joining us live, thank you. Thank you to everyone joining us.

Daily AI news


Jordan Wilson [00:01:34]:

It's gonna be a fun show, I think. So, before we get into that, let's first talk about what is going on in the world of AI news. So Today, there is more OpenAI news than you can shake a stick at, so we're gonna just go over some of the highlights. So, OpenAI has announced the results of its superalignment team's research, which focuses on preventing a potentially dangerous superintelligence from going rogue. Alright. Not just that, but they've also announced a $10,000,000 funding initiative to support research on super intel superalignment, sorry, Which shows OpenAI's commitment to this issue. There's more. OpenAI also announced the launch of its 2nd cohort for the converge program With selected startups receiving a $1,000,000 equity investment and access to various resources and events.

Jordan Wilson [00:02:22]:

So this program is open to founders From different backgrounds and experience levels with an emphasis on building with AI. Hey. That could be so many of you out there. I get messages all the time from, You know, very smart, AI startup founder, so maybe that's you. So go check that out. Well, it'll be in the newsletter. And that's literally Not all. There's one more big thing is everyone's been, you know, sharing doctored screenshots online and talking about GPT 4.5.

Jordan Wilson [00:02:47]:

So It got so bad with the rumors that OpenAI CEO Sam Altman actually shot them down yesterday, with this new, all of this new, Rumors on GBT 4.5 and essentially just said, nah. So, yeah, the screenshots look fake, by the way. And, also, it's so easy to go on someone's website and just change something take a screenshot. Right? Alright. So there's other news in today's newsletter as well. So couple things. So go to your everyday and that free daily newsletter, but some other things we're gonna be covering is Russian president Vladimir Putin confronted his AI double during a live call in. Yeah.

Jordan Wilson [00:03:22]:

That's real. Intel is releasing a new GPU chip called Gaudi 3, and it's focused on generative AI and, in place to compete with NVIDIA and AMD chips. Google's new model had a breakthrough. It discovered new knowledge. Yes. New knowledge. People say AI Can't discover new knowledge. Well, yeah, it can.

Jordan Wilson [00:03:41]:

Google just did it, and always a lot more. So if you haven't already, Go to your everyday AI .com. Sign up for the free daily newsletter. It's written by humans. I'm a human. I write it. So I'm not gonna say yeah. I'm gonna say it.

Jordan Wilson [00:04:00]:

So many of the other newsletters out there, there's dozens, probably hundreds of, newsletters that cover AI. They're all kind of the same if I'm being honest. They all use AI to summarize news, summarize tools. That's not our take. Our take is every single day we give you a unique and in-depth perspective written by a human on something that is impacting us all. And and the hope is that you can read it, You know, maybe not every day, but maybe 2, 3, 4 times a week, and you can use it to grow your career. So With that yeah. I don't know.

Jordan Wilson [00:04:31]:

How did you miss the AI summit in New York City? It's a good question, Bob. It was good. You know, and Megan's joining us from Central New York. Alright. So let's let's get into well, before that, I actually have a question for y'all. I have a question for our live audience. And, if you're joining on the podcast, you can, check your show notes as always. There's always related, episodes, but there's also an email, And there's my LinkedIn URL.

Jordan Wilson [00:04:56]:

So let me know. Let me know what you want to hear. Okay? Because here's the thing. In the US, we're gonna have a a Probably like a lame like a lame duck session, essentially. A week of work, in the holidays between, you know, Christmas and New Year's, that a lot of people just probably aren't going to be working. Here's the thing. We're we're still gonna be sending out a newsletter each day, but I wanna know. I think our team's gonna try to relax a little bit, but we're still gonna put out a daily podcast, and a newsletter.

Jordan Wilson [00:05:24]:

But it's probably gonna be a little less intensive than normal, kind of a scaled back version, but what do you wanna hear? What do you wanna hear? So let me know, and you can even if you're joining us live, type in 1, 2, 3, or 4. But, you can just hear me have a quick conversation about the AI news of the day. So type 1 if you want that or reply 1 if you're listening on the podcast. 2, we could replay some of our best episodes. We've had literally more than a 160 episodes. I could pick, you know, 4 of my favorites. I think there's 4 days there, the 26th through 29th. I could replay Chat GPT episodes.

Jordan Wilson [00:06:00]:

That's number 3. So, let me know if that's something you might wanna hear. We've had a lot of Chad GPT episodes, and I think there's 4 really good ones, even some from a while ago, that you might have missed. Or I could replay some hot take episodes. Some of those episodes where I just come in and accidentally on purpose Burn. Burn something. Burn a bridge. Burn something to the ground.

Jordan Wilson [00:06:25]:

So let me know. Let me know. It looks like a lot of people a lot of people just want me to read the news. Alright. Interesting. Human insights. That's why you follow the channel. Alright.

About the AI Summit in NYC


Jordan Wilson [00:06:35]:

Let's enough of that, but let's let's talk about the AI summit. Let's talk about, some things that I learned. So I was a featured, speaker at this AI summit. Thousands of people in attendance, at this Javits Center. I think that's what it's called, Javits Center, in New York City. So many people. I was shocked, but it was really cool to speak there. I spoke on, You can guess it.

Jordan Wilson [00:06:58]:

ChatGPT. How to make less robotic AI, or how to make AI sound less robotic in ChatGPT. So Essentially creating, more human sounding content with ChatGPT. So really cool to speak there. I've I've been fortunate enough to speak about Chat GPT to thousands of people, to thousands of you all listening, on the channel as well. So thank you for that. So it was a really cool experience, you know, for for all of you people that say I'm an AI. There's a a photo of me actually at the summit there and, you you know, well well attended.

Jordan Wilson [00:07:33]:

Right? And I was lucky enough to not only just be able to speak, you know, at this summit to, to a large group, But, I was also able to hear other people speak. Booths. Right? Going going around, which was really cool. You know, being being able to go around and talk to, there's probably close to a 100 different companies exhibiting there. So, you know, the big name companies that everyone knows, You know, such as your your IBMs, then you have your, really, AI powerhouses, right, in the house, like UiPath. So many, you you know, kind of name brand, AI companies and and then some smaller start ups too, which which was really cool to see. But Let's go ahead and share, kind of 5 big takeaways, and, you know, so some things that stood out and but also some things that were maybe a little scary. Right.

#1 - Data gold rush


Jordan Wilson [00:08:27]:

Alright. Number 1, data gold rush. Right? This probably isn't a surprise, but I would say, the overwhelming majority of exhibitors, and speakers really had a heavy lean on data. Right? And, again, nothing to be surprised there. However, One thing that I was really expecting heading into this summit was a lot more, variety, not just of the speakers, but also of the exhibitors. But I think that's also indicative, right, because where there is supply, there is demand. I think that what that says about the state of generative AI is everyone is uncertain about their data. Right.

Jordan Wilson [00:09:16]:

Everyone wants to use generative AI, whether it's, you know, Google's Vortex, Duet, Gemini, Microsoft's Copilot, OpenAI's, you know, enterprise version of ChatGPT, whatever it may be. I think you have so many large companies that are still trying to figure this out, and that's why there was, an abundance of companies and speeches, specifically on data. Right? It was almost like, especially the, Walking around kind of the exhibitor, space, it seemed like every other or every third company was about data. Right? Helping you try to, you know, scrub your data before putting it into a large language model. You know, different different companies and startups helping change or turn, you know, unstructured data into structured data. Right? Again, nothing new, but that's something that definitely definitely stood out, was just the the sheer amount of data work. And, hey, for those of you joining us live, if you have any questions about what I saw or my takes on anything, get them in. This is hey.

#2 - Lack of people in their 20s


Jordan Wilson [00:10:35]:

When there's no guests, you all are the guests, so just FYI. Number 2, The lack of people in their twenties. Right? And this is one of those things, if I'm being honest, a little concerning. So let's even talk about my expectations heading in. I'm 38 years old. Right. Most of you know my background, but, you know, I was in journalism for 8 years, spent about 10 years, Executive director of a nonprofit that turned into an activation agency for Nike and Jordan brand, and I've had my own digital strategy company now for almost 5 years. So that's my background.

Jordan Wilson [00:11:22]:

Right? And all of my internal feelings and thoughts are, Hey. This generative AI wave, this is going to be carried by younger people. Right? College aged, Fresh graduates, you know, people in there, early to mid to late twenties. Right? Like, think of you you know, I hate using, like, web 2, web 3, whatever, but, you know, the the boom of web 2 was social media, and The generation driving social media's explosion was younger people. Right? People generally in their twenties or in many times, You know, they're late teens. I was surprised. I was surprised. Right? So my expectation going into this was I would be in the older group.

Jordan Wilson [00:12:13]:

Right? You know, obviously, I was dead wrong on that one. But I would say this. I would say there was more people in their fifties than in their twenties. Let me repeat that. One of the largest AI conferences in the world where people go to learn, you know, it's obviously a seismic shift in the in in the workplace right now in people's careers and what the future of work means. With that in mind, my assumption going in was to see a lot more a lot of younger people. Right. And, obviously, maybe it's one of those things where companies maybe send their, you know, their management, their, directors, so that could have something to do with it.

Jordan Wilson [00:12:55]:

But, Regardless, I was actually surprised that there was overwhelmingly more people that were seemingly in their fifties than seemingly in their twenties. Right. And that's a little concerning to me. That's honestly a little concerning to me Because I feel that the younger generation, for whatever reason right? And, yes, this is an old old man Jordan on his porch yelling at the kids, but I don't think that, you know, college age, kids, Kids, college age students, people in their twenties are really adapting to generative AI, The rate at which I thought they might be. The rate at the at which they all you know, every single, you know, college student wants to, You know, work in social media, or do they say they're a social media expert or strategist? Right? Like, I've had interns off and on. I've been managing interns off and on for 15, 16 years, and it seems like for 15, 16 years, so many, people coming out of school. Right? They They wanna have they wanna do something in social media, so I was shocked at that. I was shocked at that.

Jordan Wilson [00:14:08]:

Yeah. Like what Cecilia says, it should it should be concerning. I agree. I agree. Well, I'm I'm glad that Tara's 15 year old is watching everyday AI with her, so, hold it down. Yeah. I'm not, Megan, yeah, if you're 38, you're not old. Sometimes I feel old.

#3 - Tons of carbon copies


Jordan Wilson [00:14:24]:

Sometimes I feel I'm 38 going on, 83. Alright. So that's that's point number 2, a lack of people in their twenties, which I was surprised about. Number 3, just tons of carbon copies. Tons of carbon copies. So this was more on the, exhibitor side. And, again, if you haven't been to an AI conference before, this is, you know, the biggest one I've been to. You know, you have kind of a who's who.

Jordan Wilson [00:14:54]:

Right. So you have your your your legacy tech companies, you have your, kind of Internet companies, You have your kind of AI companies. Right? So it's it's literally a who's who's list of AI. Right? You have Companies with $1,000,000,000,000 market caps. You have companies generating hundreds of millions of rent in revenue, and then you have companies that aren't even, you know, cash flow positive yet. Right? Like, you have companies that are brand new, fresh, and just looking for their 1st customers. But regardless, I saw tons of carbon copies. A lot of companies just trying to do the same thing.

Jordan Wilson [00:15:31]:

So, yeah, a lot of that going back to point number 1, focus on data. Another big one that I saw a lot of carbon copies, copy and paste, like the McMansions in the suburbs, was, people Building models, essentially to help you bring in multiple large language models into your, workplace environment. So I was actually surprised that and maybe this is me following, Gen AI companies a little too closely, There is only 1 company that I saw there that I was like, that's kind of creative, or that's fairly unique. I believe it was a company called Pal, p a a l. Let me let me look that up here. But, yeah, I I mean, I was surprised. Right. I was surprised.

Jordan Wilson [00:16:21]:

It just seemed like so many, of the, specifically, exhibitors We're you know, could be placed in just, like, 2 to 3 buckets. Right? When you think of a 100 different companies, The fact that the overwhelming majority of them were all chasing after the same thing tells me a couple things. 1, there's obviously a market there. But number 2, not not all these companies are gonna make it. Right. So what that means for you, the everyday person, and I tell people this all the time, you have to be careful with with who you place your operations in. Right? In the startup world or the tech world, you always say, like, what's your moat? Right? What is that thing that is guarding your castle that, Other people are going to fall in, and they're not going to be able to take your customers or slip the rug out from under you. And it seems like a lot of these Companies didn't have a moat.

Jordan Wilson [00:17:09]:

Right? It just seemed like everyone's kind of, looking at the success of a few and, trying to duplicate their success and not really coming up with anything Unique. I know that's, I know that's kinda harsh. Tara, what kind of swag do they have on their tables? Good question. I was really trying not to become a swag collector. Got some socks From Brave. Brave, the browser, and talk to the the 2, gentlemen there that, create the Brave's, AI chat. That was 1. You know what? That was it.

#4 - No one has it figured out


Jordan Wilson [00:17:48]:

I think I got, like, 2 little pieces of swag. Nothing crazy. Nothing crazy. Alright. Let's keep it going. Number 4. In this one, you know, I have a I've talked about some things that I think are scary, but here's one that's maybe a little reassuring. No one has it figured out.

Jordan Wilson [00:18:08]:

No one no one has it figured out. You know, even when I started the Everyday AI podcast about, I don't know what it's been now. 6 months ago, I was like, man, I'm so late. I'm so late. I should have started this a year ago. Then I come to find out the more and more I have people you know? It's like I literally got a message from, you know, someone at Microsoft yesterday, and they're like, this is amazing, Right. What you're doing. And so this, again, this AI summit was also a good reminder that no one has it figured out.

Jordan Wilson [00:18:41]:

Right. So being able to listen to some speeches from some big companies again. You know, you had your big consulting companies there, your your and consulting group. You know? Like I said, your your big name, tech brands, most of them were there or had speakers there. And even looking at the contents and, you know, being able to listen in on some speeches, I was like, No one has it figured out yet, literally, You know? Which which was surprising. You know? That was also surprising. I don't think it's concerning, but that also if you're listening, right, If you're listening and maybe you've been thinking about going all in on generative AI or being that leader in your organization that can, you know, Be the 1st to help implement a large language model or something like that. Maybe you're thinking, god, it's too late.

Jordan Wilson [00:19:30]:

Or maybe you're thinking, like, You know, oh, this, I'm gonna seem like, you know, I don't know enough. Here's the reality. There's very few people, very few companies that have it all figured out. Very few. Right? Even the content of some presentations that I went to and I was expecting, like, oh, we're gonna get some answers here. It was just more questions. Right? General guidelines. You know, the same big bucket categories, but it's just like, you know, we just slap some some, some study numbers.

Jordan Wilson [00:20:05]:

You know, here's some statistics, but it's still the big pieces that no one yet has figured out. No one has Generative AI implementation figured out top to bottom. I do think that's gonna be the story of 2024. Victoria says there were a lot of socks. Yeah. There were a lot of socks there. Alright. Let's get to number 5.

#5 - Lack of general knowledge


Jordan Wilson [00:20:31]:

I'm gonna try to get to your questions. If I didn't, just drop it in again. We're gonna have to end this with a hot take. I gotta take a sip of coffee before I get on this one. Number 5, lack of general knowledge. This isn't a shot. This isn't a shot at anyone. Right? But I was Extremely taken aback by this.

Jordan Wilson [00:21:05]:

Right? I'm not gonna name names because that would be rude and no one would talk to me ever again, But I will say this. I looked up you you know, there was about 10 conversations I had where I always love scratching my head, And I was like, there's no way that just happened. And, again, like, I'm not just talking to, you you know, SDRs. Right? People who are selling software, who just have, like, one focus. I'm I'm having conversations with VPs of marketing, cofounders, etcetera. Right? And, yes, they're super smart in their one area. Right? But a lot of times, I was shocked. Right? So, someone might be telling me about their product, and I would say, oh, is this similar to how, You know, Microsoft Copilot, you know, has their, you you know, knowledge graph inside of, you know, its its model.

Jordan Wilson [00:22:05]:

And they're like, oh, I don't know anything about Microsoft Copilot. And I'm like, interesting. You know? You're a 10 plus $1,000,000,000 company. Right? I had so many conversations like that. Right? So, even even other companies. Again, These aren't small start ups. These are all companies in the 10,000,000,000 to $100,000,000,000 range, and they're showing me a new feature. And I'd say, oh, that's, similar to, you know, this feature in MidJourney.

Jordan Wilson [00:22:34]:

And they say, oh, I'm not not familiar with that. Or or it's like, oh, so this this can kind of automate what you can do with chat gbt plugins. Right? Because I'm trying to understand this. Right? I'm also trying to bring this knowledge back to you, and I was shocked at the level of, I won't say the I'm not gonna say that. I was shocked at just the overall lack of general knowledge. So, yes, people that work at big companies, They obviously know their own product front to back. They not only don't know their competitors, but a lot of them didn't even know Name brands out there. Right? You're not saying people don't know Chat GPT, but they didn't know of Chat GPT's functionalities, or they didn't know of Microsoft's functionalities or they didn't know of, you know, Gemini.

Jordan Wilson [00:23:23]:

Right? Gemini was released when I was out there, and people are like, what's Gemini? It's like, Okay. So no one out here follows what's going on in the world of generative AI. Again, y'all, I know I'm a little different because I I talk about it every day. Right? I was shocked. I was a little shocked and a little surprised. Yeah, Mike. Hot take. Had to get 1 in.

Audience questions


Jordan Wilson [00:23:49]:

Had to get 1 in. Let me I don't I don't want this to turn into one of those, you know, 40 minutes, Rants, but let me try to get you a couple of questions. So, Brian asking, could the lack of 20 somethings be due to the learning curve? Maybe. It could be. Right? But if I'm telling, like, if I'm telling you the truth, Jet AI, right, is not hard. It's not terribly difficult. I don't think there's a huge learning curve. Right? And this could, this could, Brian, go back to, you know, and I've ranted on this before, How the higher education system, especially here in the US, has has pushed off Gen AI and Chat gbt in all these models for so long.

Jordan Wilson [00:24:43]:

So, you know, it could be that, you know, students who have graduated in the last 2 years maybe just aren't interested Because they didn't learn anything. Right? But I actually don't think that there's there's a huge learning curve. I don't. Narendra, something to do with legal outlook and companies sending people closer to policy. Yeah. It could be. You know? I know that some companies keep things kind of close to the vest, so that could be. Katie, what's going on, Katie? So, Katie says the events person in me wonders if the conference model appears to younger appeals To younger generations, can they afford it? Yeah.

Jordan Wilson [00:25:26]:

That's a good point. Yeah. Like I said, maybe it is you know, obviously, a lot of companies are paying the bill. Conferences aren't cheap. So, yeah, it could be that they're sending their more senior employees, but I was just, shocked. Right? Like like Yogesh is saying here, saying college students are worried about using Chat GPT because professors are discouraging them, which is interesting, Yogesh. Hey. I know.

Jordan Wilson [00:25:51]:

I, I'm pretty sure you you you teach there, or or you teach, Yogesh, but, former guest on our show as well. I love when we get former guests in the comments, but I'm I'm perplexed by that if I'm if I'm telling you the truth. Right? Not to go off on a side rant, but this is like college professors telling Students not to use the Internet. Sounds wild. Sounds like this is a college policy problem. Right. Douglas. Douglas.

Jordan Wilson [00:26:22]:

I love this. So Douglas saying, I partner with large enterprise and have noticed When on their Internet that they have many AI platforms blocked still. Yeah. Yeah. Strange. Strange. Right? Alright. So quick recap y'all.

Jordan Wilson [00:26:39]:

Quick recap. The 5 things that stood out to me. Number 1, data gold rush. Number 2, just lack of people in the younger generation, at this conference. Number 3, just tons of carbon copies. Didn't see a lot like, a lot of originality or creativity, especially in the exhibitors there. Number 4, no one has it figured out, so don't worry if you feel you don't have it figured out. Seems like no one does.

Jordan Wilson [00:27:02]:

Number 5, and just a lack of general knowledge. So many very smart, bright people who are specialists who just didn't know some of the basics about Gen AI. Alright. That's it, y'all. Thank you for joining us. If you haven't already, why? Why? Why haven't you subscribed to the newsletter? Go do that. If you're listening on the podcast, it's an essential guide. Right? We spend so much time just Taking all of the mystery out of GenAI and telling you here's how to use it to grow your company, grow your career.

Jordan Wilson [00:27:36]:

Alright. Thank you. We'll see you back next week and every day for more everyday AI. Thanks, y'all.

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