Future Tech Trends: An insiders view of the market – [FULL INTERVIEW]

In this full interview with Harrison Goode and Oliver Sulley from Edge Tech they discuss the future of technology, share their insights on AI, automation, and the evolving job landscape.

Touching upon topics like chatbots, low-code solutions, remote work, and the ever-changing tech landscape they offer differing perspectives on the pace of technological advancement, but agree that continuous learning and adaptability are key to staying ahead in the tech world.

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Key Points

  1. Chatbots and voice bots can automate routine tasks, freeing up human resources for more critical work.
  2. Low-code/no-code solutions offer efficiency, but coding skills remain essential for troubleshooting and customization.
  3. The impact of remote work varies by role, with some positions benefiting more from in-person interactions.
  4. The rate of technological change is accelerating, driven by consumer demand and business investments.
  5. Predicting the next big tech innovation is challenging, but staying ahead requires embracing new technologies.
  6. AI technologies like GPT-3.5 have the potential to reshape industries with their ability to understand and generate human-like text.
  7. The pace of technological change may outstrip predictions, surprising even experts.
  8. User input and testing are crucial for refining emerging technologies like GPT-3.5.
  9. The tech landscape is diverse, with various tools and applications catering to different needs.
  10. Despite technological advancements, the core of many jobs remains largely unchanged over the past decade.
  11. Automation and AI are tools to enhance productivity, rather than replace human jobs entirely.
  12. Continual learning and adaptability are vital to navigating the evolving tech landscape.

Key Statistics

  1. GPT-3.5 is a state-of-the-art AI model that has rapidly gained popularity.
  2. Mobile phones have seen significant technological advancements in the past two decades.
  3. Remote work has become more prevalent, with varying degrees of success across industries.
  4. Business investments in emerging technologies are driving rapid technological change.
  5. The impact of low-code/no-code solutions on coding skills and job requirements is evolving.

Key Takeaways

  • Technology is advancing rapidly, requiring businesses and individuals to adapt quickly.
  • While automation and AI can improve efficiency, they are tools to enhance human productivity, not replace it entirely.
  • The future of work may involve a combination of remote and in-person interactions.
  • Continuous learning and staying updated on emerging technologies are essential for staying relevant in the tech industry.
  • Predicting the next big tech innovation remains challenging, but embracing change is key to success.
  • User input and testing are critical for refining new technologies like GPT-3.5.
  • Coding skills remain valuable, even with the rise of low-code/no-code solutions.
  • The diverse tech landscape offers various tools and applications to cater to different needs.
  • Despite technological advancements, many job roles have remained fundamentally unchanged.
  • The human element in work remains crucial, even in a tech-driven world.
  • Technology, like chatbots and automation, can free up human time for more meaningful tasks.
  • The pace of technological change may surprise experts, making adaptability a prized skill in the tech world.
Interview Transcript

0:02
So hi, everyone. I’m here with Harrison Goode. And Oliver Sully today, who are both cofounders of edge tech and edge tech are in the technology recruiting space. So thanks very much for joining me today. I really appreciate it. My pleasure. Thank you for having us. How are things going with a burning question for me is how are things going? Particularly as we say, we’ve come out of the pandemic, the last time we talked about it, it feels like there’s been like a flurry of hiring. And then we’ve got chat GTP and technology and everything was like in the media all the time. Now, what? What have you seen that the last year or so in terms of protecting the recruitment space in technology?

0:36
Do you want to go? Okay, yeah, yeah, so

0:40
I think it’s, you’ve hit the nail on the head, on certain areas there, as you say, coming out of COVID, it was a real boom for the tech industry, there was more and more hiring and companies didn’t really seem to have an issue with it, I think there was a lot of funding coming in, there was a lot of VC money and this sort of thing. And everyone was just keen on getting as much headcount as they could, because it would mean that they’d grow their teams, other companies, that competitors won’t be able to grow this, which was great for us. But over the past 12, maybe 18 months, there’s been a real decline. As we’ve seen, the big companies, the Facebook sales forces, those sorts of guys have done really large cuts. And it’s not just those guys, you hear about them, because they’re 1000s and 1000s of jobs at once. But it has tracked all the way through to SME tech businesses who are losing 510 15% of their workforce as well, because demand hasn’t necessarily been there. I think there was a lot of demand when everyone’s working from home, to bring more technology, but everyone’s got that sort of thing. Now, there was a lot of talk about automating things, making things more efficient. And companies have done really well with it. And other companies necessarily haven’t. And I think with all of those things combined, there’s just been a bit of a bit of a lull. But I think we’re seeing pickup, which we’ll get onto I’m sure. But yeah, that’s how I see my side. But

2:07
what do you think has driven particularly for the large companies that sort of downsizing to a certain extent? And is that having impact in terms of like salary rates in the sector as well? Because you got more supply and maybe less demand? Is that is those dynamics changing? And what’s the cause of it?

2:22
Yeah, I think the, I think from what we’ve seen, the reason that dynamic has changed a little bit is like Ali said, after COVID, there was a big rush for companies to hire a lot of people. There were a lot of change and transformation projects kicking off globally. And then I think, the start of this year, we were coming out the other end of that. And I think a lot of companies, a some of them over hired, and they went a bit gung ho, in terms of bringing people on board. And B, I think they probably grew a bit too quickly, in comparison to what they had planned. And I think the what we’ve seen this year is basically an adjustment of that I think some companies have realized, we probably over hired or we hired the wrong people. We hired too quickly. And we were not as considerate as we should have been. And this is the sort of rebound effect that that we’ve seen where companies have taken a look at that and said, Okay, we need to cut costs, what can we do, we will look at the workforce and then start to reduce headcount. As a result of that, I think

3:32
they’re going to be long term effects as a result of that. So for example, you’ve obviously got less resource, you have less capacity or capability in terms of development, particularly terms of future development. And it feels like we’ve been looking along at a really high pace the last few years, but that’s probably to a certain extent, is driven by resource and coding resource to be able to do that. What do you think the knock on impacts will be that in 235 years? Is it going to constrain tickets from the exciting development that we’ve had on the on almost like on the edge of it? What’s your kind of view?

4:00
I’m not sure how much it will restrain. I know you briefly touched on chat GPT. And those sorts of sorts of products. It causes people to be able to produce things a lot quicker and build their MVP use their most viable products fairly quickly. And with that, they’re able to move along at a quicker rate. So I think people are learning to do more with less. That’s what a lot of the businesses are doing at the moment. They’re not necessarily I don’t see them siphoning money out of their r&d side of things to to prop the rest of the areas up. I think a lot of businesses are still fairly focused on new innovations, especially with all of the AI generative AI talk. There’s going around at the moment, not just vendors and companies who are selling the technologies, but a lot of the innovation is now coming from the end users from large corporate For us, who have innovation teams in house, and they’re building things themselves, and there’s a lot of innovation coming from that side to which we can’t forget about that they have some really strong technical people, some strong innovation teams that are building stuff for their own companies. Yeah.

5:15
Well, you mentioned chat GGP, there was a janitor today. What’s the impact of that? And if so, protecting the coding world. And one of the things you could see, do you think it if it doesn’t result in cost reduction, but it means you can do things with more with less? Are we going to see like, things that were more difficult to code maybe coming to the fore, because you can actually use it to maybe take a little bit the load off? In terms of getting a leg up, for example, I think we might have even chatted about it last night about the metaverse as an example, virtual reality type thing. Do you think that’s where we’ll go?

5:45
I definitely, yeah, we yeah, we definitely, I think that’s the route that is going down. I think anyone who’s had a play around with chat, GPT, or odd or anything like that, they’ll know how quickly it can give you something. And whether that’s coding or like a recipe first, for something else, if you’re cooking at home, but I think the core is having some of that knowledge there in the first place. Because I think if you’re going in completely blind, it’s going to hurt a lot of people. So I think you still need that knowledge. But I think for the people that do have that knowledge and are experienced, it’s going to make their lives so much easier. And it’s going to put their time to more effective use in other areas that are probably a bit more critical. And I think even yesterday, I was looking at it, someone was able to create a website, within basically 10 minutes, you give chaps GPT an idea about what you want the website to look like, and it will do the whole coded website for you, will it be perfect? Probably not, I’ve not done it myself. But the to think about this. So 10, or even five years ago, to put together a website, you’d have to go away to a web design agency, they’d have to mock it all up and build it all from scratch. But now, it’s given that accessibility to people that haven’t had it before. So I think with people who are already in that space, you already have the knowledge and are experienced in that, you know, coding and development world, I think being able to utilize that in the right way, is just going to have a profound impact on the way that we do work moving forward. And it’s something that can’t be normal. I think I knew

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7:20
you’re seeing that. Right now in terms of like large scale adoption in sort of, like the coding and technology space, we’ll use it still. I’m going to do it on the side of my desk for now, it’s almost creates the first draft for me, and I’m going to use it. But it’s not really a sort of large scale adoption, or do you think most people are starting to use it now? Yeah, back and forth.

7:40
I think it’s something that we have seen, however, it’s very much more of a aside, it’s not being really brought into a business, there’s a lot of restrictions that they need to put in place and make sure that there are boundaries, and it’s ring fenced, so that it’s able to access all of their data as well. And none of those compliance issues are very quick to sort out. So while there are people doing it within businesses, I don’t, their business is talking about adopting it as a whole, it’s still very much in the infancy on that side of things, because they understand that there’s a whole lot of power to it. And if you’ve got that much power at your fingertips, you need to be able to know what you’re doing with it. As Harrison mentioned, there, you’ve seen everyone seen the pictures where it can’t do simple maths Right? Or it answers a question wrong, and then you correct it. And then it’s saying, Oh, this is the right answer is easy and obvious when it’s was two plus two, and it comes out with six. However, if it’s 5000 lines of code, and you don’t know how to code, then there’s no way you’re going to be able to prove whether it’s right or wrong. And I think that’s one of the real issues. And one of the real things that you have to think about when you’re trying to use these sorts of products.

8:56
I do think it’d be interesting because you can install it on your PC or not charged up but other models and like almost like the miniaturization of it to a certain extent is interesting in terms of like data security and things, not whether we will know whether it’s how it’s working under the hood. But it’s interesting, just in terms of like, how it’s changing even the last week, a couple of weeks really just continues to change.

9:16
Yeah, yeah. And even the latest iteration from 3.5 to four we haven’t used for but from what I’ve heard the data points that it collects from and just the advancement from there to there. And that’s what When did when was it released in November last year, so it’s not even really been a year and you look forward into six months time, it could look completely different and could be 1000 times better. So it seems like they’re putting all the right things in place to improve it. But like Ali said, it’s I think businesses have to be careful where they use it, which is the main concern that we hear from a lot of people that we speak to.

9:56
So going back to back to our day jobs as well. We talked about changing Got it, we got I think we would love to talking about it because it is pretty. It’s pretty Wizzy, isn’t it? But going back to our day jobs and us finding particular areas of tech that are being invested in, I think I was a, I was at a session the other day, and it’s the computer weekly team were presenting some of their data. And they were saying that, I thought it’s very interesting. They’re talking about HR systems, as an example, was one of the areas where it seemed like firms were investing in. And that seems like counterintuitive, because we’re all talking about Changi, ATP and AI, but actually, it’s it’s a bit of a mundane system, but really important when What’s your kind of view and what you’ve been seeing?

10:33
I think it’s, it’s hard to say, because you can see an HR system as a fairly mundane product that needs doing but you can also see an HR system as quickly as it have a chatbot involved in it, does it have artificial intelligence involved in it if I need to book a holiday? And I kind of go on the HR system and ask it, how many days holiday do I have left? Can I book this, Ill look and see if there’s enough days free? We’ll look and see who else is in the team? What’s coming up? And if you can, and then you’ll just say can you book it, please? And it will do it, can you do it over voice, all of these sorts of things can make a fairly mundane system fairly interesting. And when what we’re seeing, I mentioned that, because we are seeing a lot more within that conversational AI chatbot area, some because it’s an area that’s fairly can be fairly low skilled, those customer support service, they can be fairly well trained into doing a lot of the stuff and taking out 5060 70% of most people’s queries so that only the really important ones go through, it’s an easy call to say that it makes sense. And it works in a business sense. As long as the issue being chatbots, two, three years ago, everyone turned their nose up out, because you could quite easily tell where it was it had been doing what you needed to. I know that half of the time when I get through to a chatbot The first thing I say is can I speak to a human? Like, when it’s that sort of situation? It’s not great, but some of the new technology, some of the new ones, you will know. And I think that’s we’re seeing a lot more in those sorts of areas. I don’t know what your Yeah,

12:04
I was gonna say that actually, the the automation is still a big one. So RP RPA is still big, I think, even though it’s been around for a while now, people have almost forgotten about it a little bit. There are still people that haven’t even really scratched the surface to properly scale their automation programs. So that’s a big one that we still see, even today, with with companies that have started their journey. They’re looking to scale that across the business. But conversational AI is probably one of the top ones that we’re talking to everyone about at the moment, every enterprise business that has customers is looking into it to improve customer service and customer satisfaction as well. I mean, we’ve all been on hold on the phone before and the voice bots now that can talk back to you and understand and have a conversation with you. For some of them, you wouldn’t even know that you’re speaking to a robot and the way that the conversation and dialogue flows, and it picks up on keywords and can empathize and it in a certain way and can escalate at certain stages as well. So that’s a really powerful thing that a number of the businesses that we recruit for are all looking into that at the moment. And it’s already such a big thing and chat bots have been around for a while. But I think the advancements at least though since 2020, since COVID hit when you couldn’t have big call centers, and you aren’t able to have people in the office companies had to do something different. And that was the first port of call. And it’s come on so much over the last few years.

13:33
And do you think do you think that’s companies looking at the cost element? So we’re going to go into this new wave of you already talked about large tech reducing costs chatbots, in a way could also be seen as taking cost out of the business? Do you think it’s just as almost economy drive almost like a company seems to be all on Twitter, to certain extent is that it feels like that’s a theme that’s going to come through?

13:53
Yeah, I think it is way I think every company at the moment is looking to cut costs and make their business more efficient and more compliant. I think it’d be silly not to ignore that benefit of bringing in an automated solution, whether it’s voice or text based. And I think it’s really down to freeing up the actual humans time that they have within the business to focus on more critical tasks. If something can’t be solved and escalated by by the Chatbot or the voice bot, then the human can have a full in depth conversation to figure out what’s gone wrong. If it’s someone calling up, say, ups to find out where their delivery is, that can be handled by a chatbot quite easily and it doesn’t really need to take up that part of that person’s time. And to be honest, if you were that person on the end of the phone dealing with those inquiries, you’d be quite bored of doing that every single day. Let me just check all your packages. Oh, yeah, it’s out for delivery. Yeah, but the voice bot or the chat bot can do that. And then if something is a bit more serious, I don’t know in terms of a delivery But if it was more serious, then you could speak to a human and they will be available and you won’t need to be on hold for that long those people will be there. So I think there is that element. And naturally there are going to be fewer humans because the chat bots can answer more of those queries. But I think in the end, there’s still going to be that human element.

15:19
One about the low code theme that’s been coming through on I suppose there is a lot of packages out there certainly that I come across in my sector, where it’s being pushed, as you don’t need to know coding, it’s everything’s sort of table driven, those kinds of things. How much is that impacting, particularly that technology professional type space as well? Is that what’s the impact of that? And how does that then go going forward? Well, where do you still need the people either doing coding or technical experts, even just doing the low code stuff? To a certain extent?

15:46
I’ll be honest, I’m yet to see a low code, no code product, there has been successfully implemented somewhere, when no one knows code. Yeah, realistically, it’s, it’s nice to have, it’s nice for say, if you’re a large company, and you want to build a couple of processes, and you don’t want to have to engage your tech team, every time to do it, and you can say, Oh, you’re in accounts, and you know exactly how the processes you can drag and drop and this sort of stuff. But when that breaks, which they do, and they will, you still need someone to come in and fix it. And that person, ideally still needs to be within the business. So again, it’s similar almost to what we were saying about, you could do more with less. I think that’s what I would look at it as I wouldn’t look at it as suddenly there’s no need for developers are looking at it as we can do a lot of the 5060 70% of the upfront work by ourselves. But then when we have to really dig into it, we’ve got someone that we can call on backup. And we can have someone who can fix it, when we eventually break it. Because we’re the same whenever we try and do anything that’s slightly technical. We’re like, just give me a five minute drive. I’m sure it’ll work. And then two hours later, we’re on the phone to someone trying to help us

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16:58
to spend my evenings is only take two minutes. So it’s the same with plumbing, I have to say, but there it is, but we can all relax. And I suppose just in terms of this, this is just gonna be different work for us, rather than being less or being less work. Yeah. And so if anything gets probably adjusted, expands our capacity more than anything else. Yeah,

17:12
yeah. And I think that’s a big misconception that still, that people are getting over at the moment that AI is going to take their jobs. So I think if you upskill in the right areas, naturally, there are going to be lower skilled jobs that are that are prime for automation, and AI. But a lot of those things are jobs that people don’t, they’re not even jobs, they’re more tasks and certain responsibilities that people have within their job. And a lot of the time they are the more mundane things that people don’t want to be doing. So it’s actually freeing up people’s time to do more meaningful work. I think people should be much more for it. If someone could create something to manage all my emails and go back to my emails for me, so I don’t even need to look at my inbox. That’d be great. So if there’s anyone out there listening, who who can do that’d be that’d be perfect. But yeah, yep, see anything like that. But it’s just things like that, that takes the stuff away from you. So you can do I’m

18:03
sure some of the email monitoring stuff is not far away. I have to say you could the Microsoft copilot stuff and all the other things that are out there, you do do to kind of wonder, really, and what about I know last time we chatted Harris, we’re talking a little bit about remote working and hybrid working. That was a big thing. It’s been interesting how that’s developed to a certain extent. And there’s been a little bit more of a push here. But certainly North America has been a big push around trying to get people back in the office. Yeah, I what you’ve seen in the tech in the tech space.

18:30
So we’ve, we have started to see that a little bit. I think there’s, I don’t think we’re ever gonna go back to five days a week in the office. I don’t think it’s productive for a lot of people. And I would say it really varies dependent on role to role in what you’re doing. If you’re a developer. And you can do everything completely remotely. Depending on security issues and things like that, then that’s fine. If you’re a grad who’s in sales, you probably need to be in the office a bit more often than not, because you need to be at the coalface you need to be learning from people being in that type of environment, you pick up so much doing that in your bedroom, on your laptop, you’re not going to learn as quickly. So we started to see probably more of the industry kind of end users of the world who have very large offices, starting to bring people back once, maybe twice a week. A lot of the vendors and consultancies that we work with still very much operate a remote working policy, maybe going in once a month for team or company meetings, things like that. But yeah, we haven’t really seen a great deal of people being back in the office. More than than they’re working at home. So I don’t know if you’ve had to add but yeah,

19:50
I think a lot of businesses are doing a Morrison as needed. basis. The the offices are there. Clearly. A lot of companies are having urging money on empty officers at the moment. And there’s no getting away from it. So they’ve got to, they’ve got a three year lease a five year lease a 10 year lease, and they don’t know what to do with it. So in their mind, they’re saying, we may as well get our money’s worth and get our employees back in. There are some smart companies who are realizing that’s not going to help us in any way, just having the office field we’re going to pay for either way. And there are others that are demanding people come in once a week and have a register at 9am and a register at 5pm. To make sure there is some people don’t really understand that, what makes a company tick, and what makes people enjoy working at a company. And it all comes down to culture. At the end of the day,

20:39
I think I just think it’s quite interesting how most like the narrative you hear, particularly on the news or in the media, for example, can actually be quite different from what’s actually going on. So we hear a lot about being back in the office, because it’s that, that sells the story to a certain extent, it’s a more interesting story to listen to. But when you actually look at it, and it’s quite interested in what you’re saying around almost like, if you look at employment contracts, for example, or people are being placed as an example, is there, you must be in the office type, type type. Because in their contract, because that’s where you’d see it right, this will, that’s where the rubber hits the road. And if people want to work at home, then they’re not going to accept the job. And

21:14
we speak to a few people. And we ask them why they’re looking for a job. And some people will say they’re making me come back in the office five days a week, they’re making me come back in the office four days a week, I don’t live near there anymore, or I never did, because I got employed while it was remote. But on the other hand, we get probably just as many people that we speak to who are saying they’re looking for a new job, because they’re fully remote. Because they’re fully remote, the teams dispersed all over the UK, and they want an office maybe not five days a week, but they still want an office to three days a week that they can actually meet people, they can sit down, they can talk to their colleagues, because they’ve been working in a company for two years and haven’t met single colleagues.

21:46
And they’re just fed off and they want a bit more sort of social interaction.

21:50
Probably want to get out of the house for once, maybe get away from the husband and wife or maybe the kids. So yeah, it’s interesting to see it that way as well.

21:58
What about I suppose we talked about that say check churches up, we talked about AI, but what kind of software packages like this now that now the most now the most popular from a developer point of view in terms of demand around that, because it still is the same as it was before? Is it or is that sort of changing at all, or any kind of themes around that

22:15
I don’t think is hugely changing. I think there are people who are the people who are like moving into development now. And this sort of area, really open to the opportunities on what they can develop. I think, as you saying with AI doing as much as it is at the moment, it’s silly not to look at those sorts of technologies. However, we haven’t seen much of a shift, there’s still just as much demand for C sharp dotnet, all of those sorts of classic development skills there’s ever been because a lot of the products are still getting built on it. Sure. There’s Python and this sort of stuff that more products I can build on. But a lot of people I think, are still realizing if you’ve got a good solid base of understanding within development. Once you can learn one, sometimes they’re not looking.

23:05
I was looking at, say, job positions in my sector, which was multiple, most like credit risk collections, recoveries, those kind of things. And it’s interesting, I think there’s been a sea change. And it’s almost like a generational sea change where you’re seeing more sort of coding type skills, and maybe they’re not the high end, or C sharp, those kinds of things. But they’re most SQL, SAS those kind of things and just just becoming more mainstream in terms of job requirements that maybe we wouldn’t have had it four or five years ago, which is counter to the low code narrative that I was saying before, but exactly what you’re saying, right? But it feels like some of these skills and having a knowledge of basic stuff seems to become more important to ServiceNow. Yeah, I

23:43
think, especially from the younger generation, I think as well, that are coming out of universities, I think because tech is such a big thing nowadays. And tech companies are basically ruling the world in terms of the stuff that they do. And everything is nowadays it’s underpinned by tech, but I think is an extremely safe bet to go into the studying at university to learn basic coding skills. So you can have good general understanding about how things work and how, before computers were even a thing. There were a lot of people that went into actual physical engineering, which was a huge thing around planes, trains, and cars as well. And that was massive. And now I think it’s the next wave of software engineering.

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24:34
I think I do think you’ve learned, maybe it’s just me getting old and I can see I’m not sure how much demand do you have for Fortran these days? going way, way back in Microsoft BASIC, that was like my, the limits of my skills at the time it was. It’s amazing how it’s changed so quickly, hasn’t it? And I do think almost 60 of the AI pieces almost like uses the language is built on top of each other and it’s like, I just wonder if we’re actually building another level of language. If you see on top of the ones that have come before, if you start at the bottom is going up, and they’re becoming evermore interpreted to help you build, they further down mean all the way down to machine language. Yeah, way back. That’s essentially what they do. Yeah,

25:12
yeah. And is you say, cuz stuffs moving so quickly, technology is moving exponentially at the moment quicker than we’ve ever seen. And I was talking about what language is probably good to learn in 612 18 months will probably be something different. And that’s why it’s really I think it’s a situation where you just have to be a person of continuous learning to stay on top of new technologies understanding and be adaptable.

25:38
Yeah, yeah. And so where do you think we go from here? If you looked like 234 or five years out is if you’ve got a crystal ball, I know, you just said it’s difficult, right? And so we don’t really know. But what do you think? What do you think we’ll be we’ll be talking about,

25:52
I think, I’m not mystic, Meg. But it’s hard to say. Because I think I was saying this, I just had this conversation with Harrison yesterday, when Harrison was fairly bright eyed and bushy tailed about it. And I wasn’t as much. I think we could have had this conversation five years ago, and would have been saying, Sure, not the chat GPT stuff, it would have been saying pretty similar things about automation, about all of these sorts of things about how we’re one step away from, from cracking the world. And we’re not gonna be working in five years, all this sort of stuff. I think we’re all very optimistic, in that sense, in time, all or pessimistic if that’s the way you look at it. But we like to think a lot more further than it necessarily is. And we’ve had a lot of changes, a lot of technology changes. But at the end of the day, nothing’s, at least for me, and I think for a lot of people working, nothing has dramatically changed your workday. In the past five or 10 years, realistically, you’ve had some better software, which might make things a little bit quicker, which might have saved you some time. Most people haven’t had a dramatic change in their in their job and what they’ve been doing, I don’t really think in the next three years, you will, I think you might be able to get what took you eight hours to do done in five, in a lot of areas, obviously not in very specific areas where you’ve completely automated something. But in terms of your day to day job, you might be able to shave a couple of hours off a day. But I still think that not a lot is actually going to really change, there’s going to be a lot of tools, there’s gonna be a lot of theoretical stuff, more chat, GPT stuff, but a lot of it is going to be outside of business. It’s gonna be more personal interests and this sort of stuff. I think that’s personally where I see it going. But I guess I’m a pessimist in that sense, probably say something that

27:44
it doesn’t make sense. I think what I was saying is GPT isn’t even a year old. And I think the rate that technology is advancing at the moment, is allowing us to further advance technology at a much faster pace. When you look at 2030 years ago, mobile phones weren’t really a big thing. And even within the space of that time, phones have developed so quickly, and we were listening to one of the talks yesterday, and someone was saying how, you know, keyboard and mouse is soon to be a thing of the past. And everything is either going to be done through voice or in other ways. I don’t think that’s going to happen within the next three, five years. But I do think that we’re at a point with technology where the advancements are going to start moving a lot quicker. And I think it’s really down to us as the consumers to adopt and trial and test and break these types of things to help companies make the further advancements. But I also think it’s down to the businesses to keep investing money into it. And I think if organizations are quite cautious about kicking off these programs, and other vendors are fairly cautious around developing these product products, then it’s going to be it’s going to happen at a slower rate. So I think everyone just needs to dive in headfirst.

29:09
I’m interested whether where the next chat GTP will be because it did feel like I know this stuff’s been around for a long time. It really has been around for a long time, the scoring, it’s still maths that sitting out there. But for as a consumer, it seems to come out of nowhere and it exploded across the scene. There were very few people who are talking about it. Before this year as an example, a couple of people probably no certainly in the academics would have been talking about it. And it’s almost like how do we get into find out? What’s the next thing that’s coming up? Where’s our data sources to find out? Well, this is what’s being worked on elsewhere. And this is what could be the future because it did feel like a bit of a if for me it felt like a bit of a mess in terms of our we should have known about that at least for six months where the leader before it got released to a certain extent but he just burst onto the stage as Wow, this is pretty pretty cool.

29:52
I think one of the reasons was because I don’t think they were really planning for 3.5 to come out as quick isn’t it? Yeah, I think they’re planning to realistically wait for for and try and do something. But then they needed more user input, they needed more testing, they needed more normal people to come in and say ridiculous things and break it so that they could fix it. The only way they could do that and get that many people onto it was by publicizing a bit more. And then, as soon as they did people realize what actually was and what potentially had, and it just went out of control a bit. I think, if you think about how it started, it didn’t start as a business product. It started within research, and this will vary. So it was never a go to market plan, which is probably one of the reasons that it ended up like it did. But

30:41
it was also so much better than what else was out there. And it still is pretty good. Even if you look at some of the other models, or the the open source models, it was just it’s just it has come out as being like almost so much better. I think so at least anyway, as a consumer of it anyway, as a consumer of them anyway, it’s it feels Yeah, it’s just interesting to like where we can find out what’s coming next. If anything like that will happen again. Because it all seems to surprise us the internet, the internet kind of surprised us as well, to a certain extent these days just keeps on happening to us as almost like a humanitarian. But if we knew, then then it’d be fantastic. We could be ahead on these things. Yeah,

31:12
life won’t be as exciting.

31:15
There’ll be something Yeah, it’ll be something soon. And we’ll never see it come and go, How do we not think about or how do we not see that one come in. And it would be so obvious to us at the time, and something really exciting?

31:26
I think the thing is they you say you didn’t see it coming? But what do you see coming that you could ask computer something and it would give you an answer that you could ask the computer to do something and it would do it for you. We’ve been doing that for a while we’ve had Alexa that was doing something along those lines before that’s true. Sci Fi or anything, all of those things have been happening for ages. I think, how it’s done, it is amazing. And this stuff, if you really look at what it does, you, you could have said in five years, there’s something that’s going to do this.

31:53
Yeah. I think it’s the fact that anyone can do it. And anyone can use it. Even if you’re not even if you’re not skilled, and you get some value out of it. And it can save you time. And it’s really the question now is how do you come up with almost like the right use case to be able to use it that’s safe, and it’s gonna be and that’s, that’s almost like its own universe. It’s almost like we’ve been given all the letters to write a book, but actually how you combine them together becomes pretty important. And it can make completely vastly different things. And that becomes exciting, almost like to a certain extent, for lots of people because you got the whole of almost like the whole of humanity basically coming up with different ideas and trying them out. Yeah,

32:31
yes, the human version of chimps type into right Shakespeare isn’t it to a point everyone’s just trying everything different and someone’s gonna land on something. Yeah.

32:39
Thanks very much for making the time again, I appreciate it’s always good to get an insight into the tech world what’s going on what’s bubbling and see and seeing what’s out there. It’s it feels like it’s changed a little bit a little bit from when we last spoke, but subtly but it’s in a way it’s kind of like a bit more business as usual, to certain extent. So I Harrison and I really appreciate you making time. No, thanks

33:02
so much for having us.

33:03
Thanks. Cheers.


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