The future of AI: expanding applications we're just beginning to grasp
welcome to the future of Tourism podcast I'm David peacock stop owning your own contents young leaders are stepping up bring everyone to the table and imagine they're wild anew [Music] if you've been watching the rise of narrative-based generative AI then I assume you're as conflicted and confused as to the long-term outcomes of This Magnificent leaping Computing as I am I don't want to be dramatic but when the headline in the globe mail in May reads the Godfather of A.I has some regrets and we aren't even out of the starting blocks yet well yeah man what to make of that we have a technology that we know is immensely powerful and can in theory be limitlessly scaled but we're only at the beginning of grasping how to use it and how to make it work for humans AI has been around since the 1950s and earlier it exists in various forms all around us the last five years have seen a massive leap in the general Public's awareness of AI thanks in part the cool and popular attractiveness of language-based AI like chat GPT Jeanette Rush is EVP marketing and digital at New York City tourisms and conventions she spent more than two decades with industry-leading organizations such as broadway.com and with various modern media agencies Paul McCloud is a Maverick in the data space he's the director of analytics at simpleview and runs the internal Think Tank known as the Insight groups good morning Jeanette good morning Paul you first Genet how are you where are you what's it like I'm in Long Island City New York and it's a beautiful clear hot sunny day mmm hot sunny surprise surprise ball McLeod um is it hot where you are yes I'm in Tucson uh actually today is supposed to be our nicest day in like a month plus uh it's supposed to rain a lot in a couple hours but we'll see they never really know whether it's going to happen during monsoon season what's temperature like there oh right now it's 93 which is cool it's usually well over 100 by now uh so yeah I mean a big thing in the news recently Phoenix six weeks of 105 plus temperatures yeah uh Phoenix is hotter than Tucson by a few degrees they lowered down so um don't move there is my advice no way and and it still is the fastest expanding county in the United States of America yeah absolutely um you know that's saying um the future's here it's just not evenly distributed we're we're all in Dallas a couple weeks ago looking at Phoenix these are cities they're going to learn how to deal with with absolute heat frustration and they're going to have to do it quickly I was reading articles in the in the New York Times in the globe you know about going back to painting buildings white using sort of you know uh free like early early history history from the 16 from the 600s and 700s in her in terms of how to deal with heat we're going to we're gonna run the cusp of having to do that over and over aren't we oh yeah Tucson I mean uh yeah I have a tight thick titanium white paint code on the roof of the building I'm in right now everybody everybody does it pretty much okay so the reason I've called you both here dearly beloved were gathered here today because we had a fantastic discussion at the ttra in St Louis and if anybody doesn't know the tourism travel research Association it's an event worth going to I think it opens your minds it cross-pollinates us with what we're asking research to do but what I got a real sense of what research is capable of too when you unfetter it and you let it start thinking about the problems that that we don't know we don't know about so let's let's have a chat again let's have a chat about the positive and negative of implications of AI Jeanette as I said earlier you've got a great way of walking people through a really um non-threatening way to look at Ai and you do that I'm in part because we're all threatened by it Paul you have a great view of the long-term potential of it some really great anecdotes some funny ones so let's start with this Jeanette what is AI to you I so I look at AI specifically in the realm of something like chat GPT as generative AI with generative meaning it's generating content so the way that we see this now is primarily words right written content but it can also generate data analyzes uh other not chat GPT at this moment but other versions of generative AI can generate photos and videos so that's all of the things that can be kind of encompassed by this technology and it all happens through an algorithm so it's really it is a math program a computer program that is looking to find patterns and data and one of those data points is words and how people form words into sentences and it turns out you know of course we all like to think of how unique we are but words and sentences follow predictable patterns and essentially what openai has done with chat GPT and the underlying models for GPT three and a half gpt4 is that they've unlocked what order do words go in to make sentences so that it can generate new sentences on its own based on air prompting okay so it's fair to say then that right now your your central focus is on language-based generative AI that's correct but yeah but I know you you have a broad sense of its history though you've seen AI in its iterative forms come through machine learning and Vision Learning and things like that okay Paul context for you you work every day in data at simpleview you also you run the insights Group which takes data to a new level by by literally trying to find out the things we don't know we don't know what's AI to you um yeah I mean I think uh I really like Jeanette's uh description of the type of AI that everybody has been uh hot to talk about lately for the past uh you know eight months nine months that's when I feel like it came up um but yeah absolutely generative AI or um uh large language models is another term that gets used for the language versions of them um uh these AI uh deep learning uh neural networks that rely on uh the new technique if you want to get even a little bit more Technical and more technical than I can fully explain uh of Transformers which sort of um is an algorithm that allows the the language AI to sort of understand the way the words in your sentence uh work together to form Concepts so you know for instance if you um you know we have lots of words in English that mean totally different things depending on the context so that's how they've sort of gotten to where the machine the the thing is way better uh than it had been and I think that's why I also Jeanette's focusing on that because that's the big advance that has gotten all the news and everybody excited and has all these new business applications um that uh really really expand the ability of or are going to I think they're doing it now but we're going to see it filtering into our lives more and more over the next like I don't know 18 to 24 months um uh of you know actual tools that just allow the parsing and understanding of language and text a lot better and also if you're in a more visual field you know I can imagine designers are going to be doing a lot of drafting uh with uh AI generating um uh image generating AIS um in the near future so those sorts of things I think are what uh just those generative tools like Jeanette said are the most exciting things right now and they're also the things that are exciting because we're not well exciting in a weird way um uh they get people excited uh in the sense that um these are the things that seem human enough almost that they've gotten all these people talking about you know are we being replaced are these things going to develop their own agenda and kill us all um and you know is is Humanity obsolete because of these things and that's also I think why the focusing on those generative AIS make sense as you as you allude to though yeah AI is a very broad term that just refers to the concept of a machine sort of thinking for itself and this can certainly be an advance towards the concept that I think everybody's sort of gesturing towards which is General AI as it's called or um you know where the machine just is a brain that thinks for itself and I don't think we're even close to there yet to give away the ending um but this is like the first thing in a while that feels like a tangible step towards that goal if you will or at least uh eventuality okay we're going to come back to the technology that she gave a great analogy when we were in St Louis about AI being completely Tethered to the number of computations you can make in a second essentially and really what we're talking about is a technology is already so good at being predicted when it comes to sentences it will be 10 times better in in three years if we if we use Moore's Law it'll be phenomenally good at predicting what what literally what we say next or what to say next is that fair to say what the average person would say next is how I would put it or what would typically most typically be said next let me put it that way I would say standing up how the Transformers work it's that it's almost like when you compress a photo and text it to someone and then it re or uncompresses you know to use the technical term that it's the same thing with the algorithms that it somehow compresses them so it takes less compute less computational power to work with and then it expands later so we won't get all geeky on that but we will tell people that's what drove streaming video on the internet there was this supposition that we'd need literally a megabit per second to stream television quality video we're now down to something like 230 kilobytes so the compression is just as important as the speed of the computation yeah which gives us a which gives us a curve actually faster than Moore's law in that case then because it's it's increased computing power and compression at the same time that makes a lot of sense okay so let's talk about practical applications then we'll talk about Elon Musk I had to spend about 45 minutes listening to him talk about AI last night it was very interesting um fascinating and inarticulate would be how I describe it and I don't mean that in a pejorative way it just it really a lot of leaps of thinking okay in a nice way yeah so he's what AI is not going to predict what Elon Musk says next to your point exactly yeah okay depending on the temperature if you change the temperature of your model it could be anything there it is there there it is totally okay Jeanette um I saw you speak in Sophia Bulgaria back in the fall I guess it was was this no it was April oh my gosh time flies yeah I know okay um you did a great job of sort of framing the discussion we kind of just had which was a lot of fun thanks for that both of you but you but then you took it into something really practical said look let's start with some practical looks at Ai and he gave some examples can you just give us a little recap of that and and share some of your insights about how you use it how it's practical how not to discount it and how to actually make it work for you as a tool all right so I typically you can think of big in terms of buckets of tasks so when I'm using it for Content creation it's not hey write this blog post for me or write a LinkedIn post for me it's going to be more here is like even when I was assembling the speech for Sophia it's here is you know two pages of all of the thoughts I've just been collecting about how to use you know chat GPT please put this in an order for me like take take the madness and the chaos and put some structure around it because it's always as an algorithm it is always looking for structure so when you when you start you don't start with a blank sheet and say tell me who's the best AI expert in tourism then because I did I did and your name didn't come up just so you know oh you know that it as of October 21. there it is there it
is yeah no but seriously but you generally do feed in your content it's not a so I did use a couple times this morning I asked it to write some great intros for two leading um AI thinkers and I won't read them to you you don't sound very good on these um and and then it made up some people the funny thing is it actually made up a couple of professors as well and I went to look at them and they're real professors it's just their field isn't what chat GPT reported said they were traveling tourism AI specific experts they're not they're ethicists and they're computational and somehow it's shoehorned in the fact that they were I think maybe at one point they spoke at a conference somewhere far away and GPT decided that was tourism there you go all right I I like to give it the content first rather than letting it take a stab in the dark because remember it's a large language model it is not a large knowledge model so it is not going to go to Wikipedia and fact check the things that you ask of it so if there's something I would like to be factual I paste it in first so I've used it for like putting together what is our strategy going to be around celebrating the semicolon Centennial for the country and rather than saying tell me about people who might be interested in historical tourism who come to New York City I found research online you have secondary research talking about people who travel you know because they're history Buffs and then I pasted that in bit by bit because the context window attaching PT isn't large enough for huge papers yet but it can summarize them in sections and like please read this us and pull out all of the information that would be relevant to the tourism board for New York City as they prepare as they go on this journey and then I use that to say great write the SWOT analysis you know let's build out what these audiences look like and how we describe them and this is something I stole from Miles actually my partnership it's like are you familiar with experience Mosaic profiles tell me which profiles apply to each of these audience segments but I find starting from Facts makes that an easier process that makes a lot of sense Paul you have a couple examples when we were when we're in St Louis um of of using it for you know work purposes and a couple strange examples I think you told a great example about a lawyer who prepared a case yeah using maybe can you recap that one and then just tell us your thoughts on it as a working tool yeah I mean it did a lot of it uh hallucinated is the term people of the news for this uh that you in the way that you described earlier with your um uh AI experts prompt for it um yeah some guy a lawyer whose client was I think he was I'm pretty sure he was the lawyer for the uh the plaintiff and not the airline but I could have that backwards anyway somebody was suing an airline for a personal injury um one of the lawyers submitted a 10-page brief um arguing for some position in his case some motion or other um uh that had a bunch of references to cases you know with all the things like uh you know Gonzalez versus Korea Airlines you know last name versus Airline name um that all seemed fairly plausible and uh he turned it in and the opposite uh opposition Council um you know went about trying to respond to it and they came back and said hey uh we can't we can't find any of these cases man um what's going on and it turned out he had had chat GPT right the entire thing for him and uh had not double checked any of the uh any of the cases in it and the judge was uh displeased by this um I think maybe somebody in the crowd as I was telling the story might have been you Jeanette yeah mentioned that he apparently was distrustful enough to ask chat GPT whether chat GPT was messing with him or not and Chad GPT assured him like yeah no this is all real buddy I know exactly what I'm talking about and of course you know this just happens though did the deeper point being um because it knows it's smart enough to know what a legal brief looks like it's smart enough to construct a sort of like basic logical argument um and it's smart enough to know that in a legal brief you need to cite some cases and it even it's uh it says you know hey if I know about some cases yeah I would probably use some real ones but if I don't then that's fine uh this you just as far as I can tell is an AI come on this is just great to have a last name versus an airline and put that there and that's good enough okay but this is grade seven right grade seven when your geography teacher says to you this is the first essay you've ever written you're in grade school now you're not a child and trust me I will check all your facts so don't try and pull one over me I think half the class tried to pull one on over right yeah probably okay so we're back there so the basic lessons are you can trust it as far as you can throw it you can structure it well if you structure it well and you take it with a grain of salt is that fair totally yeah and we now assume like like um you know hydrogenated palm oil that it's just in everything and we don't even notice it anymore or what I mean yeah I mean like uh Jeanette's example I mean especially when you're using it that way when you're uh sort of taking it as a draft and then uh you know refining it into something that's actually good and that actually you know uh reflects human thought um in that sense yeah you've seen it in a ton of things um certainly you know lots of emails you get um even you know uh lots of text messages you get now that your all the text message apps are trying to suggest what people are uh gonna send back and forth I turn that off on my phone it's been there for years even before chat TPT was really a thing um but I'm sure lots of people use it to just send a quick you know uh you know responses yeah exactly and it makes up some really bad words when you do that sometimes like just the most inappropriate words if you don't check your predictive type yeah we've all been there well the older you are the more you've been there that might be your algorithm David being a little boy maybe that is it yeah did either of you see the city of Boston actually released a set of guidelines for city employees to use generative AI at work no oh really no what did they say well I mean it's fantastic so they the chief technology officer I think for the city like they emailed it to every single City employee and then they created a website for it they created guidelines they wanted folks to follow those are publicly available for anybody to read and it's like very encouraging like you know a cheerleader but they have a note in there where they say you're still responsible for the output of these systems just like with with autocorrect if you send an email and autocorrect changes the meaning of a word it doesn't you know change your obligation as the sender of the email to make sure that everything is right that's a really good point do you think we're going to see more of sort of the instructional side of that will schools start to really push that ethos um you know we we went to school I don't know about you guys I went to school I had a computer in 1982 that was a big deal like it was a huge deal now I've watched kids sitting class with two computers one for lecture notes one for typing and it's unbelievable like just unbelievable do you think it'll become part of media literacy because you know we look at our gen Z's and the good news is my gen Z daughter says don't worry dad I don't believe anything it's like oh I'm not sure I'm warmed by that but maybe it may be a little satiated but geez [Laughter] um certainly you're going to see uh I think people learning how to incorporate this into just as a tool I'm in the same way um you know people use their laptops in class now and that I'm sure uh you know like I lived in a time before laptops were quite in the classroom in front of everybody um I live you know I I uh I was educated you're saying you're old Paul just I know it was almost 20 years ago yeah nobody people had laptops but generally not in the classroom um I was actually always noted for like I would play a snake on my cell phone like my candy bar Nokia cell phone uh during lectures because like I'm just like too it helps me pay attention if I'm just doing something mindless with my thumbs um but some people were always like are you just playing games the whole time I'm like no I'm listening but I seriously played a lot of steak on there anyway um so uh laptops you know have become into the classroom and people have sort of gotten over what I'm sure were some major ethical concerns about uh what people could be looking up or doing with uh phones and laptops and I think uh yeah they're gonna figure out how to work generate AI generated content into the ethical Frameworks of original content and plagiarism and learning and that kind of thing I think because it's uh this is not going to be something that's stoppable um you know people are just gonna do it so you're gonna have to learn how to live with it is mighty Jeanette you come up through a world of media companies you worked at broadway.com at one point um you're you know your ability to be articulate is a key part of your your strength as an executive that's that's I think that's a really fair statement but when you when you look at this and you look at where it's going you look at your peers do you ever find bad examples of it or people where you just gotta say don't use it that way or or maybe try and use it this way a little more so I actually I teach in the spring semester Arts marketing class at Hunter College and so this is you know the class started the end of January when this was still very very new but I was already very interested in it and so like everybody we need to all figure out how to use this together for class and so there was a lot of because the classes you know it's kind of marketing 101. everybody picks a project that they are building on for the semester and then they have a marketing plan that they present at the end of the semester and yes there were students where I'm like you know the ones there was one student in particular maybe struggled a little bit more than the rest of the class I'm like nope even you even you should use chat GPT to help you with things that's nice and then you didn't tell when you know it was very obvious you didn't end up with 30 essays that said the four piece of marketing are consistency no that's the great thing about and so I mean and this is part of what teachers will have to do is that you can't cookie cutter style assignments aren't going to work anymore if it's please just write a report on the four piece of marketing but if it's apply the four P's of marketing to the photo exhibition that you want to do with the Museum of the city of New York in 2025 then at a minimum even if GPT is doing everything they're learning how to use it in a way that is applied to a real project just like I do in my job for New York City tourism conventions what a different skill set hey you graduate and your new skill set is the ability to discern whether the generative text you've been given is actually useful yeah right which is where it should be just like with the calculator right like you wanted it's less important to me that I can multiply 11 by 11 and more that I know what to do with the result of that if I'm looking for it yeah that I that's a great analogy I think um because yeah I'm sure plenty of uh of people will howl at this notion but and I love writing and everything but yeah uh this is just gonna be how people do stuff so as a teacher if you're getting people you're getting your students to practice a real skill that they will use that's the point not you know teaching them how to type a bunch of uh characters into a word processor right I want them to see what strategy looks like and how it applies in different executions and as long as they're understanding that and able to say it to me in the presentation at the end of class I don't care how they got there yeah so that's a really great example though of sort of Basics to using AI you've got all your students they're learning that you know at a post-secondary level and they're in their 20s and 30s it's all the adults who haven't learned it that worry me have no process yeah 100 I tell my kids like I so I've got a 15 year old you know I think he should absolutely be learning how to use this for practical purposes like Jeanette and you were talking about um I think that's you know one of the most useful things he probably could do as far as preparing for professional skills you know that he'll need in the next decade um so 100 yeah well I mean and we used to say you know we send people to school to learn skills but we also send to learn that they can learn anything and and this is an extension of that here here's this powerful new tool learn learn more than we've done with it progress with it I I get that point Okay so we've talked about applications and Jeanette you've clearly said and Paul you backed it up it's not that tourism has a special application for AI it does it can write wonderfully demonstrative paragraphs that capture you know that are eloquently written and stuff but it still starts with data so we're saying tonight you're saying use AI the same way you'd use a blender you don't take your blender in your car you don't take your AI into the boardroom so to speak that's great so talk to me about the Doom and Gloom side of it because I'm you know I'm watching Jeffrey hit and he's a big deal up here he spends half his time in Canada as you know on the Google file but then I'm watching musk last night it was I wasn't even watching my wife was watching I came over and sort of looked over her shoulder and I forgot that he was one of the founders of openai and and you know I'm I'm used to sort of grassing you know leaning on him and being a bit of a grinder on him but here's the point he did point out that he did it because he was concerned at the time now this is a stated fact that Google had a monopoly and all the AI brains in the world that they were literally buying it up as fast they couldn't he worried that it would progress elsewhere but he said he was very specific about making open AI a not-for-profit which it no longer is is it no I guess not no it's not well it was certainly sold into Microsoft so yeah no um yeah I mean don't trust the well yeah okay I'm happy that there's a pregnant pause here because that's how I feel all the times like ah so go ahead hi so the dissenting view which I can't even take credit for I haven't seen the Oppenheimer film yet but some months ago one of the newsletters that I read uh quoted John Von Newman I don't know if he is a character that shows up in Oppenheimer or not so after after the show we should look that up but uh at the point there was some point when Robert Oppenheimer said that their physicists involved in the Manhattan Project had known sin and John Von Neumann said some people confess guilt to take credit for the sin so the idea right it's like oh maybe he protests a little too much yeah no uh and as an other people I've heard have put it um these uh these dire warnings about the future of AI uh do sort of amount to um a bunch of computer guys with a lot of uh stake in the uh computer game saying oh no our computers are too good everybody um they're so good we can't even control them anymore um so um and that's I think a little bit of it and also just like uh this has been a sort of uh fantasy slash dark prophecy of um computers enthusiasts uh for uh I mean maybe approaching a century um but certainly since computers started to get really big in like the 50s um the days of Asimov certainly um so uh it's also just sort of like a meme so do you think When Vladimir Putin says remember we did that little quiz at ttra from The New York Times one of the quotes was whoever controls this technology will will go forward to rule the world you know was it was it nuclear uh Power was it Ai and it was it was Putin about three years ago talking about AI is he just another uninformed or what do you take of that I mean I think that Mis describes the dynamic just because I don't think there will be one country that controls AI so it won't be the deciding factor in that sense um also I mean I think it's powerful it's obviously powerful it's going to generate a lot of text and help us understand a lot of things it can do things now like uh translate cuneiform uh Tech tablets that there are tens of thousands of them that we have but nobody who knows cuneiform has the time to go back and translate them all so that's significant that's a somewhat academic but uh example of the sort of thing it can do that we just didn't have access to anymore it's certainly powerful I just am not when people worry about apocalypse scenarios they're worried about you know self-aware AI with its own agenda connected to too many things that it can use to destroy well and that that worries me because that's a bit of a red herring because we we just keep thinking well the world's world's going to play out like a blockbuster Hollywood movie it's not it never does so Jeanette we were just talking about this we were we're both in Texas for quite a period of time and it's incredibly hot I mean the day of AI is controlling our grids and the heat distribution those things are coming what worries me more and I keep hitting on this thing you know we we know what we know and we have an idea what we don't know but what really generally bites Us in the Aristotle as human beings is what we don't know we don't know so what happens when an AI starts to look at you know electricity patterns starts to modulate temperature to meet you meet a directive of saving money and then and at the other end of that equation is lives but they don't figure into it I mean are we are we heading for that because I don't see sentient machines leaving you know leaving their computational ground and taking over NORAD although I guess it's theoretically possible it's more the subtle things in there that you know change something by a few degrees or open a open a shelter later because the bus stop coming and all of a sudden people get affected and that's the part that that's the part that worries me about the AIS I think that Gregory Hinton his like the the basis of his nervousness around AI is around Warfare so just like think about how drone technology has utterly changed more Warfare like this in the same way has the same capacity and you have to know that there are people working on that and thinking about that because there's so much money in it right and that's not something you know that open AI is you know tweeting about so here it's not part of the conversation that we have that I think that my understanding is that when he's nervous about AI it's about Bad actors or entire country let's Riff on that though because garpa the defense Advanced research project in America that funds all sorts of research in every post-secondary education institution including MIT in a big way um you know a decade ago they said the next decade is the power of the narrative so isn't it interesting that as generative AI comes into its own the thing that that they've been saying since since the first Gulf War is the power of the narrative is more powerful than any weapon and we're certainly seeing that in the disinformation wars we've certainly seen it in I I think I can think of three instances the American elections the Canadian elections and and brexit we know that you know that trolls and chat Bots were a play we know that those are AI Technologies so now it's not the technology it's it's the use of it in in a in a nefarious way to control a narrative to literally create a narrative that's the part I guess that that's worrying that that's the weaponization of it in some sense even though it doesn't involve drones and weapons right yeah but it's scary I have no answer for it all right well for me I mean I agree uh absolutely uh using you could use this to support your you know digital marketing campaign to disinform the public about this or that uh thing in that sense could be very useful to spammers and I think that's one of the things I do see it definitely being uh being good at is generating useless uh or okay just hang on we're gonna we're gonna we're actually gonna get McLeod's law here okay let's do it come on well we don't have to do that right now no we do let me make this point though um uh I agree absolutely what you're saying that for uh propaganda disinformation whatever could be useful but it's more of a a new tool in the Arsenal in that sense and not like a huge game changer I think because like these things I mean that's been around for Millennia um um uh you know we were we both sides and the world wars were dropping flyers on the uh opposition lines um the Germans uh used to or no sorry the uh what was it uh the there used to be Flyers dropped saying that you know while you're oh yes uh dropped on the French line saying that you know you're women behind uh German lines in France are you know spending all their time with the German soldiers um and things like that to dispirit them um so you know the airplane was it was immediately put to use for disinformation uh it's like it's absolute thing anyway yeah so if you want the McLeod's law and spam yeah um in the same vein um uh if you look at any uh technology and I showed some examples in my talk uh if you look at your phone if you look at your email inbox if you look at your Instagram uh people who are following you if you look at your LinkedIn people who are following you the vast majority and if you look at your actual physical mail in your mailbox I don't know about up in Canada but here in the US um uh if you the vast majority of the things you get the messages you get are spam they're just fake people with fake messages often trying to outright scam you if not that trying to get you to buy something that you may or may not actually care about and uh so my prediction is that uh yeah um the the McLeod's law was as the medium of communication ages the proportion of messages sent on it uh devoted to spam goes to one um so absolutely one of the main things people are going to use chat GPT and it's ilk4 is to write spam messages and then send them to you and then you're going to have your Gmail your Twitter your various platforms using uh large language models to understand which messages are spam and try to filter them out so this can be fighting back and forth between these models uh try one trying to fool the llm's other llms trying to understand how they're being fooled to figure out uh to to get spam in front of you or not as people whichever side wants and that's all just Mass amounts of electricity in the air oh yeah speaking of the global warming thing for real it's just data centers crunching numbers against each other and turning you know Concepts into heat yeah but what's what's bigger money spam or War yeah truly right yeah you have a lot of people with a small steak and spam and a few people with a large sake in war so but Wars wars create spam too I think spam proportionally goes up in a world okay this is great we've had a discussion that's ranged from you know the applied to the sublime it's a weird new technology I called it post nuclear because I think it is expanding so fast we can hardly think of applications it's going to be really easy to to watch this I mean it's like it's like watching a raging River in a flood so like my eyes on it I don't know when I take my eye off it when it becomes normal for us to just say AI is in the background I don't think in my lifetime AI is going to be just in the background but there will come a day right 30 years from now when it'll be is you know uh inert to us is driving a car or something like that we won't think about what's on it thanks for shedding some light on it making it approachable and usable and at the same time um Illuminating some of its shortcomings um I think if I summed it up I'd say to both of you you're saying the key to using AI is to be an intelligent Operator just like driving a car absolutely okay um we're talking about I think it's somewhere between seven and 900 destinations around the world last thoughts to each of you on on the use of AI in life in tourism uh just uh an admonitional warning or you know maybe you want to pump your latest product you first on your desktop just play with it just try something new every single day that you haven't used it for yet because that is what's going to teach you the ways that it works and then when it starts showing up in apps and you know just kind of the air around you it starts affecting everything you are familiar with how it's great and you're familiar with how you know where the shortfalls are well said that's exactly what I was going to say pretty much um uh no for real it's just a it's a tool uh the hype is uh indicative that there's something real here but it's also hype and a little overblown inside that it's wildest extreme so like Jeanette said uh just get used to it start using it you'll quickly find that um as you sort of understand uh you know the first your first reaction is like oh my God this is so cool and amazing this is shocking and then as you use it more you do see those patterns those things that it uh that it does over and over those errors it's prone to and that makes it both uh that makes you better at using it and it makes the whole concept less both awe-inspiring and scary um it turns out to be you know another tool we have that is very impressive but also I think you know life will continue as life now that we have okay listen it is a blast to talk to you both this is the most fun I've had in one of these in a long time so thanks for that um let's keep our eye on it let's talk about it again thanks both for being here um appreciate it foreign
2023-10-11 01:46
