so opening I have explained why 2025 is probably going to surprise the average person now probably won't be surprised if you're watching this video and you're in the AI space but the recent blog post from Sam mman is quite telling and it actually shows us a few things that I didn't even know at the moment but that's what this video is for a deep dive into all things AI so let's not waste any more time so one of the crazy things from Sam alman's blog was actually this right here now there's like three statements on
this page that I do want to break down in more detail but honestly the one highlighted is the one I want to focus on and what he says here is that we believe that in 2025 we may see the first AI agents join the workforce and join the workforce is in quotation marks and I believe that's because when you say join the workforce it just means that they're going to be you know working alongside you and you know materially change the output of companies now this is something that is a remarkable statement because this is
I guess you could say one of the first times we're getting true you know digital employees that are going to be able to do a lot of tasks and a lot of the you know tedious tasks that are involved in many various businesses and you know once you free up your time in business you're going to be able to use that time to be remarkably more effective so this is going to be a really interesting thing because I've actually paid attention to Sam alman's blog post for the last three years and he's actually quite right
about a lot of things and I do believe that's become pretty obvious considering he's a CEO of a leading air company and it is their job to sort of you know predict the future see where things are going so seeing the trajectory of AI the past few years it's going to be really interesting to see how the end of 2025 is compared to the kind of software that we do have now now the crazy thing about this as well and I will come back to this page is the fact that like most people also don't
understand that there are certain AI agents that have already joined the workforce like trust me guys there is a silent Revolution going on at a large majority of companies that you might not be aware of joining the workforce yes that is a statement but you might want to pay attention to the companies that have already deployed AI agents in their businesses this is the CEO of clana who actually spoke about how they managed to deploy customer support agents that actually fill the role of 700 employees a lot of Business Leaders are asking themselves like where
is the actual implications on my business and this was the first time we at least felt like look here's a practical application that isn't like just a small it's real life consumers prefer it because it's actually higher customer satisfaction than the human agent it's faster to use it's higher quality and it's having profound impact but we also believe that society and politicians needs to recognize that this is not something that's going to change in 10 years the implications for society are going to come in the coming years and it's time to think a little bit
proactively about what measures could be taken as a consequence and I think his statement is quite true most people don't realize that you know agents are currently being deployed there's a variety of different agents that you can build one of the agents that of course he talks about is customer support agents and I think that kind of agent is really important because not only is it something that is quite tedious customer support is you know one of those things where usually the customer has a complaint so they're already on edge they're already like you know
angry and charged up and I've heard the conversations sometimes that people have and it can be pretty awful to actually be a customer support staff so I think you guys need to actually understand that this is something that is you know on a smaller scale slowly happening across a variety of different companies and I'm going to show you guys quickly just a few seconds of 11 lab's new AI conversational agent which is actually really cool building conversational AI agents used to be immensely complex and demand huge resources but not anymore start building your agent by
creating a voice or exploring our vast highquality library to discover one that's perfect for your application hello and welcome to dhk online how can I help you today with a wide range of the best llms to choose from you you can then upload your knowledge base and Define the goal and personality of your agent or alternatively you can integrate your own server to take full control hi this is Eric from bound events how can I help hey I accidentally bought a ticket twice could I get a refund please sure please read out your reference number
and I can begin to process that right now our system will analyze and evaluate your transcripts providing you with valuable insights conversation playback and the ability to test and define success criteria and it's all possible in 32 different languages welcome to DC Medical how can I help hello the actual ability for these e agents to have fluent conversations in a variety of different languages imagine you're in another country and you call up their customer support hotline and you can't speak the language but considering it's an AI agent it's able to instantly translate fluently to whatever
language you might be speaking this is something that I think is a remarkable achievement and is something that is actually a really good feature of AI agents now me personally when it comes to AI agents I personally like workflow agents so this is make.com which allows you to collect things like chat gbt agents to 11lbs agents and connect this all up to create videos this is something that actually created for my community I also created this lead generation agent so that if you're trying to get leads for your business you have one that basically uses
these workflow agents and then when that data all gets processed Claude Haiku quickly just analyzes the data and then puts all the business details in a Google table or a Microsoft Excel file that's like this and if you ever want access to any of the agents that I show you guys you can just import the blueprints these AI agents are actually available in my community just in the AI agent template section and every Wednesday I actually show a very unique way to use these AI agents to make money every Friday I actually break down in
detail how you guys can actually use new AI tools that nobody is actually using and every Sunday I actually do do a case study in my Academy to show you guys exactly what's working within the AI industry if that's something that you are interested in don't forget to check out my AI Academy Community which I recently launched now another thing that they also state is that they continue to believe that iteratively putting great tools tools in the hands of people leads to broadly distributed outcomes and this is rather important because they actually hint at how
they're going to be deploying these tools in 2025 so whilst yes 2025 might be a blockbuster year for AI the word iteratively putting these tools in their hands actually means that things are going to be released in an incremental basis and I think if you guys can reference the video I made two or 3 days ago where you know they talk about how the AI is going to take off one of the things that we wonder is it's going to be a discontinuous takeoff where we have rapid jumps and capabilities but right now it seems
like the way that these companies are deploying things it's going to be a very smooth slow continuous takeoff for everyone now additionally as I was talking about agents I couldn't help but notice something from Logan killpatrick and this is the guy that is the lead product for Google AI studio and is working on the Gemini API and AGI at Google now we can see here that he says 2025 is actually the year AI Vision capabilities are going mainstream but that 2026 will be the year of Agents so the reason that this is interesting is because
some people have said 2025 and some people are saying 2026 and this is why I've titled this are their head because when we actually take a look at things we can see that opening eye is setting 2025 for the year of Agents but other companies like Google are saying 2026 will be agents what I think they actually mean by this is that 2026 is going to be when we have fully autonomous reliable agents but things like browser agents are still going to be something that occurs now he actually expands on this a little bit and
it's actually really important you pay attention here because he said there's a 12month capabilities to Wild scale production Gap most Vision use case work now but aren't widely deployed and I think that's really true but agents still need a little more work for billion user level skill so essentially here he's actually referring to the reliability of these agents because of course a billion user level skill is a large amount of people ridiculously large amount of people and you can't have an AI agent that fails 10% of the time because that is over 100 million people
that are going to be experiencing some kind of sloppy service now the reason I say that this is rather interesting is that it does potentially mean that maybe openi are a little bit ahead because if Google are saying that look AI agents fully autonomous AI agents are going to be in 2026 and then also their competitors anthropic the CEO of the company recently said this in an interview and pay attention because he actually talks about agents in a little bit more detail if you want an agent to act in the world um usually that acting
requires you to you know engage in a series of actions right you talk to a chatbot it only answers and maybe there's a little followup but with agents you might need to take a bunch of actions see what happens in the world or with a human and then take more actions and so you need to do a long sequence of things and for that long sequence of things to actually work the error rate on each of the individual things has to be pretty low right if I'm a robot and I'm like you know okay I'm
going to pick up this thing and walk over there and I'm going to pick up that you know I'm building the house or something there's probably thousands of actions that go into that and so all of this is to say the models need to get more reliable because the individual steps need to have very low error rates and I think part of that will come from scale um like we need another generation or two of scale before the agents will really work and so this is actually really true because when we actually look at the
benchmarks from claude's recent release and currently Claude is the Frontier Model in terms of I don't want to say raw intelligence because that would be 01 or 03 but when we actually look at you know these large language models that are able to use a computer this is the tow Benchmark that tries to you know put these AI systems in realistic scenarios and have them you know do things agentically we can see that currently these models aren't performing that well and this reliability is something that they need to iron out we can see that the
past metrics here like 46% for the first try and as they try more and more times these results just get worse and worse now of course there are a variety of different AI agents out there you know other companies that are going to be introducing new Frameworks and of course maybe by the end of the year this is going to be something that is close to 90% but recently with these current models that are actually really good when it comes to agents and doing things agentically they just don't really go that well now I do
wonder if that is going to be because you know open AI is shifting their strategy as the rate of GPT AI Improvement is slowing and that is something that you know they've alluded to and when I say alluded to I'm talking about the fact that you know the G GPT series is slowing down just meaning that you know any gains they make now will simply be incremental that doesn't mean 01 02 03 whatever series of models they call the 01 series the reasoning series isn't going to be going on a steep steep incline in terms
of the amount of intelligence that model can produce but I'm talking about the GPT series like claw 3.5 and of course GPT 40 those kind of models won't likely have jumps in capabilities but they'll need to be really good if we're going to use them as the basis of these agents now interestingly enough the corporate vice president business and industry co-pilot Microsoft said that by this time next year you'll have a full team of AI agents working for you and this could look like anything from an IT agent fixing glitches before you even noticed them
or a supply chain agent preventing disruptions while you sleep a sales agent breaking down the silos between Business Systems the chase leads and finance agents closing the books faster and I actually think that that is really true because if you've been paying attention to any talks recently you'll Sam mman you'll hear Jen sing hang actually talk about how agents are going to be a really big thing agents are the thing everyone is talking about I think for good reason you know this idea that you can give an AI system a pretty complicated task like a
kind of task you'd give to a very smart human that takes a while to go off and do and use a bunch of tools and create something of value um that's the kind of thing I'd expect next year and that's like a huge deal we talk about that like oh you know this thing is going to happen but that's like that if that works as well as we hope it does that can that can really transform things and of course if we take recently what Jen Wang spoke about in terms of agents at CES 2025
he actually gave us an insight to how these AI agents are going to all be working together to you know I guess make a business more efficient and streamline operations now I got to be honest with you guys the craziest thing from this document was of course the fact that they said even though you know they speak about Ai and mman has spoken about AGI a variety of different times he says that we are beginning to turn our aim beyond that to Super intelligence in the true sense of the word and I think that is
one of the most profound statements because it's becoming more and more commonplace for opening eye to say this and the more and more they say it the more and more I believe them because I've read the research papers and it kind of does make sense and they talk about how you know with super intelligence we can do literally anything else super intelligent tools could massively accelerate scientific discovery and Innovation well beyond what we are capable of doing on our own and in turn massively increase abundance and prosperity and you can see right here that they
do acknowledge that this claim of you know super intelligence or whatever sounds like science fiction and even sounds you know somewhat crazy to talk about but they've been there before and they're okay with being there again but they're pretty confident that in the next few years everyone will see what they see and that the need to act with great care while still maximizing the broad benefit and empowerment is so important so this is really interesting because of course they aren't just stating that look this is a wild CL claim they're basically saying that look we
know it the only reason you guys don't know it is because you don't work at the company so we're pretty sure in a few years you'll eventually catch on to what we already see and it's going to be super interesting as well to see how open ai's products manage to change and integrate with their levels SL stages of AI currently we're at reasoners and human level problem solving but level three is of course the big one where these systems are going to be able to take actions reliably I mean level four and level five that
does seem like crazy talk but at the end of the day I've seen crazier things in AI that I never thought possible and of course as you know open AI are actually launching an AI agent very very shortly so it's going to be super interesting to see when this agent arrives how it manages to perform and the other things it's able to do
