# OpenAI Explains Why NOBODY Is Ready For Whats Coming? ## Метаданные - **Канал:** TheAIGRID - **YouTube:** https://www.youtube.com/watch?v=0smK_e5QHm0 - **Дата:** 15.01.2025 - **Длительность:** 21:54 - **Просмотры:** 53,696 ## Описание Join my AI Academy - https://www.skool.com/postagiprepardness 🐤 Follow Me on Twitter https://twitter.com/TheAiGrid 🌐 Checkout My website - https://theaigrid.com/ 00:00 - AI Changes Everything 00:19 - Global AI Gaps 00:48 - Sam Altman Predictions 02:15 - AI Joins Workforce 03:35 - Intelligence Cost Drops 04:47 - AI Costs Falling 05:11 - DeepSeek V3 Impact 07:00 - Desk Jobs Replaced 08:14 - Higher Business Margins 09:29 - Cognitive vs Physical 10:46 - AI Physical Labor 12:00 - Meaning Economy Rises 13:10 - Healthcare Revolutionized 14:25 - Longevity Through AI 16:00 - AlphaFold Speeds Research 20:35 - AI Overton Window 21:29 - 2030 Transformations Ahead Links From Todays Video: https://x.com/jachiam0/status/1875790264620740613 https://x.com/tsarnick/status/1839781409998942693 https://x.com/tsarnick/status/1851829325953478687 https://x.com/tsarnick/status/1799191553417875579 https://x.com/sama/status/1625980933861175306 Welcome to my channel where i bring you the latest breakthroughs in AI. From deep learning to robotics, i cover it all. My videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on my latest videos. Was there anything i missed? (For Business Enquiries) contact@theaigrid.com Music Used LEMMiNO - Cipher https://www.youtube.com/watch?v=b0q5PR1xpA0 CC BY-SA 4.0 LEMMiNO - Encounters https://www.youtube.com/watch?v=xdwWCl_5x2s #LLM #Largelanguagemodel #chatgpt #AI #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #Robotics #DataScience ## Содержание ### [0:00](https://www.youtube.com/watch?v=0smK_e5QHm0) AI Changes Everything now recently the person who is the head of mission alignment at openai actually stated something that was quite remarkable he actually stated that the world isn't grappling enough with the seriousness of AI and how it will upend or negate a lot of the assumptions many seemingly robust equilibria are based on and I actually agree with this statement quite a lot on this channel you might ### [0:19](https://www.youtube.com/watch?v=0smK_e5QHm0&t=19s) Global AI Gaps see a lot of AI news but one of the topics that I did Cover quite a lot was of course the post AGI economics series we're actually trying and speak about how the world is changing right before us eyes it's just that most people can't see it or won't pay attention to it and basically this tweet is suggesting the global discourse and preparation regarding AI is pretty insignificant compared to the scale of the implications and when we look at people governments and institutions they're not really fully acknowledging or even ### [0:48](https://www.youtube.com/watch?v=0smK_e5QHm0&t=48s) Sam Altman Predictions addressing the profound impacts that this is going to have on society economies and you know many different Technologies and when we think about it it's going to be disrupting a lot of the foundational beliefs or Norms that we currently take for granted things like jobs education I mean there's just so many things that we can get into social dynamics Global markets it's pretty crazy stuff that I will dive into in this video now I'm showing you guys this piece of a Blog but the blog is actually from Sam mman Sam ultman is of course the CEO of opening eye but I'm showing you this to show you guys that it's not just one person at open AI that thinks this is the case Sam mman also agrees that you know it's quite important to actually prepare for the future he basically talks about how you know the technological Revolution is Unstoppable and a recursive Loop of innovation as these smart machines themselves help us make smarter machines will accelerate the revolution's pace and that there's going to be three crucial consequences that will follow now the reason that this is important is because if we actually take a look at the entire blog which samman wrote in 2021 it's actually remarkably accurate with as to what he predicts but he talks broadly about the future and a lot of the stuff has already happened now one of the first things that he talks about is the fact that this revolution will create phenomenal wealth and the price of many kinds of Labor which is essentially you know driving down the cost of goods and services will essentially fall towards zero once sufficiently powerful AI joins ### [2:15](https://www.youtube.com/watch?v=0smK_e5QHm0&t=135s) AI Joins Workforce the workforce and I want you guys to pay attention to two things here number one being AI joining the workforce okay key wordss are joins the workforce because literally in another blog post a couple of days ago go samman actually said that we believe in 2025 we may see the first AI agents join the workforce and materially change the output of companies I covered this entire thing in another video but it is important that you know his predictions are coming true so it's important to look back and see what was said now the second point that I want you to focus on from the first point cuz there were two things is the fact that you know the price of many kinds of Labor which drives down the cost of goods and services will essentially fall to zero very soon now phrase that I've seen echoing around the AI Community is one that is called the intelligence too cheap to meter and this is basically the fact that when you have ai systems that are able to replicate human intelligence for a fraction of the cost things start to get really weird and you can see that Logan killpatrick the person working on AGI and the AI products at Google actually said that if you are not planning for the price of intelligence to go to zero the next 3 to 5 years are going to be incredibly disruptive to your business and to life this is the main idea for ### [3:35](https://www.youtube.com/watch?v=0smK_e5QHm0&t=215s) Intelligence Cost Drops the rest of the decade you might want to buckle up now broadly speaking what he means by this is that when we actually take a look at how AI systems have progressed every single year the intelligence price versus the tokens it actually gets a lot cheaper so right here you can see that you know the previous version of GPT 4 which wasn't that good compared to the version that we have now and if we actually look at the cost per token it's a dramatic decrease in that cost and the point here is that like in the future we're going to have really powerful air systems and they're going to be borderline free to run which basically means that if we have sufficiently powerful AI that is smarter than most humans can run agentically on a variety of different computers then of course that is going to disrupt a variety of different things and this is something that has continued to happen time and time again and like I said before this is what these companies are moving to okay towards intelligence too cheap to meter this is something that Sam Alman has tweeted and run has tweeted which is of course a member of technical staff at open Ai and now remember how I spoke about you know the fact that like these models are getting cheaper but the crazy thing about that ### [4:47](https://www.youtube.com/watch?v=0smK_e5QHm0&t=287s) AI Costs Falling is like the quality is staying the same recently we had deep seek V3 which is a model that literally just I don't want to say ruined everything but definitely shook up the air industry because this was a model that was borderline on par with claw 3. 5 Sonic according to certain people some people may argue against that but the point is that this is at a fraction of the cost one Trend that I ### [5:11](https://www.youtube.com/watch?v=0smK_e5QHm0&t=311s) DeepSeek V3 Impact have currently seen is that the majority of people that are building applications with models you know sometimes the cost is a factor and I've seen many people who are using AI agents actually switch to deep seek version 3 because it is just so cheap for what you are getting in terms of the evaluation you can see the MML evaluation score versus the input API price per a million tokens deep seek V3 just comes out to be the best in terms of the performance to price ratio for the optimum range and when we take a look at that I mean you have to understand that because it's capitalism it's a free market people can compete and when people compete prices often get cheaper and that's often better for the customer but this is going to have a variety of different KnockOn effects for society that most people just simply aren't prepared for I mean when we actually think about what they are saying here and this is open AI the leading company we should really be paying attention he says nonetheless change is coming it will be reflected in the first you know in the prices of goods and labor and this is essentially referring back to what samman has said and I think I can you know muster up a very simple example for you guys let's say you know you are a software engineer and I do hate the fact that I'm using software engineer as an example because there has been some recent controversy around AI software Engineers but let's just say for example you have an AI software engineer or let's say pretty much anything that is on a computer what happens when you have an AI agent that is able to you know effectively do any task on a computer faster quicker more reliably than a human all for a fraction of the cost there are entire industries that are built upon jobs that are at desks and if let's say for example companies realize that wait a minute these people that are paying $40,000 a ### [7:00](https://www.youtube.com/watch?v=0smK_e5QHm0&t=420s) Desk Jobs Replaced year and of course I have to give them sick pay holiday pay if I can just literally spend $2,000 a year on a few AI agents that is going to be a much more efficient strategy for them and if that does occur then that actually means that secondly we have a company that is going to be operating on high margins now think about it like this guys this is where prices start to change if that company goes from paying their employees let's say 6K a month each to you know digital employees that cost $200 a month each that means that they have now so much profit but here's the thing okay they aren't the only business in that space other businesses in that space will now likely have the same digital employees that are the same cost which means that if a business just lost 80% of its overhead and is now 80% more profitable companies are going to start undercutting each other because of course they're going to be starting to fight on price and if things start to fight down on price well for consumers that means for us the prices of things will eventually of course come down it's going to just change everything what happens when I can say okay I need you to go ahead and create this business by the time I wake up I want this website I want you to reach out to these many businesses and I want you to have a step-by-step strategy plan and start executing it by the morning and let's ### [8:14](https://www.youtube.com/watch?v=0smK_e5QHm0&t=494s) Higher Business Margins say I can do all of that for a fraction of the cost of you know hiring a full media team and whatever it may take to actually get that orchestrated in the real world I think when we actually start to look at that we can start to say that okay this is going to be you know a drastic change that is coming and you know I've heard this time and again and one of the craziest examples that Sam halman has actually spoken about is the fact that the coming Divergence between changes to cognitive work and changes to physical work probably are going to be quite dramatic he says that in 2023 it cost around $30,000 to get a simple iPhone app created but around $300 for a plumbing job I wonder what those relative prices will look like in 2028 currently it's 2025 so that's 3 years away but everyone knows who's in the AI industry just how quickly timelines can move now this is crazy because $30,000 to get a simple iPhone app created is already changing I know people that are building iPhone apps with you know low code tools and if we actually look at software being developed I've seen people whip up really simple SAS from just a simple text prompt so you know previously when you'd have to hire a software developer or maybe even a small team whereas now you can do things with a simple prompt how does that change certain industries ### [9:29](https://www.youtube.com/watch?v=0smK_e5QHm0&t=569s) Cognitive vs Physical and when we take a look at the fact that humanoid robots are not where they need to be in terms of the speed of development compared to what you would need to actually get robots to complete a plumbing job it's just a complete Divergence between the two which means that potentially it could be more expensive or more lucrative to be a plumber in 2030 than it is an iPhone app developer whilst that might sound like a crazy statement you have to understand that AI has continued to surprise us of course anything is possible but with the way things are going wouldn't be surprised if that is the case and this is of course due to the fact that and this actually refers to morave X Paradox where this is the Paradox that basically states that you know tasks that are really easy for humans are actually quite difficult for machines so you know tasks that machines find really easy things like you know complex calculations playing chests that are really easy for AI systems we actually find these things quite hard so when we actually managed to duplicate human intelligence it's going to be really interesting because of course whilst yes the humanoid robots are going to be coming it's quite likely that they won't come as quick as the software side because software is really easy but with the physical side you are interacting with the physical world which means you know there can be mistakes there is of course feedback that you need to get it's just a longer feedback loop to ### [10:46](https://www.youtube.com/watch?v=0smK_e5QHm0&t=646s) AI Physical Labor iterate whereas with software it's just you know you're changing code you're fixing things and eventually you manage to figure out how to optimize it and you eventually get to your solution but with physical robots there's just different things there Supply chains you actually have to go out and build it to interact with the real world and ensure it is safe so this is going to be something that is eventually there but I can't imagine that this is going to be kind of you know replacing physical labor jobs at the same rate that jobs on a computer will be replace by so there is going to be a really interesting discrepancy between those kind of jobs in terms of the demand for them but you know what kind of goes on it is actually rather interesting because you know Elon Musk has actually said what comes next the Advent of unemployment of joblessness will not be considered a time of Crisis depression or condemnation but a glorious blessing probably none of us will have a job this is Elon musk's statement and he said this for quite some time now so I'm not surprised by him by this statement but it is something that we can't really fathom at this current state considering the majority of people are employed but it's quite likely that in the future when AI is able to you know do a lot of things better than us it's quite likely that we will have to focus on human Centric ### [12:00](https://www.youtube.com/watch?v=0smK_e5QHm0&t=720s) Meaning Economy Rises work and this is why you know the post AGI economy series which I created on my channel was basically talking about the fact that we're headed towards a meaning economy where human Centric Industries and experiences are going to be taking center stage and in this new paradigm you're going to need to rethink what we value as a society so maybe things like sports stars musicians comedians communities those kind of things are going to become more and more important as AI just handles the mind-numbing work that we used to do now another thing that this individual at open AI actually States is that you know it will also change how we live how healthy we are our ability to use technology to change our own bodies and Minds every single facet of The Human Experience is going to be impacted and we can see here that you know this is really true I was actually reading a research paper the other day actually made a video on this but if we actually look at the performance of differential diagnosis generators and llms on clinicopathologic case conferences we can see the 01 preview actually manages to surpass all these other systems and I wouldn't be surprised if 03 manages to completely dominate this Benchmark and even potentially saturate it and there was ### [13:10](https://www.youtube.com/watch?v=0smK_e5QHm0&t=790s) Healthcare Revolutionized this other Benchmark where 01 preview manages to completely outdo Physicians and resources when looking at certain diagnoses so it's pretty crazy how much this is going to affect the healthcare industry but the point is that this is going to impact a vast array of different things and even the Nvidia CEO actually talks about he actually talks about you know ai's potential to transform biology from a life science into life engineering to improve Healthcare you know he can't even imagine what that's going to look like in the next 10 years applying this technology uh and advancing it further for some of the most challenging and pressing issues of our time whether it's uh digital biology or Healthcare is some of our um uh best futures um I can't imagine what we're be like in 10 years frankly yeah and when we apply artificial intelligence to um uh the field of biology and to for us to not to move Beyond calling it life sciences uh to life engineering just like we do and for us to be able to understand uh biology the way we understand many other fields of science would be incredible and so I think that that's probably our single greatest potential of helping now Bill ### [14:25](https://www.youtube.com/watch?v=0smK_e5QHm0&t=865s) Longevity Through AI Gates has also shared this worldview and he said say that you know AI will be able to model human biology and health beyond our ability to comprehend it and it will lead to many health problems being solved within the next 10 to 20 years understanding protein and molecular shape space is a perfect AI problem because we have databases the protein database that you know we have uh 150,000 molecules we know the shapes and so we've trained AI on those their ability to predict the shapes and therefore the druggable SES in these proteins uh you know that is accelerating medical Discovery there was actually a company called shinger that was doing it pre AI but now there might be 20 times as many people uh and uh progressing much faster because AI is very well suited to this and eventually AI won't just model the low level what the shape is but it'll model the cell and the organ and the organism and so even complex disease Dynamics you know it's beyond human understanding to map out all the different things that go on the AI models as you gather the data which will be the limiting factor will help you understand you know overnutrition malnutrition uh way better than we do today so you know most things put aside neurological in the next 10 to 20 years I would say the likelihood of ### [16:00](https://www.youtube.com/watch?v=0smK_e5QHm0&t=960s) AlphaFold Speeds Research dramatic uh medical advances even in the neurological one thing Alzheimer's uh I'd say those would be solved and when we actually start to take a look at the fact that you know this is going to change biology and Healthcare one of the things that people actually start to discuss is Lev now this is longevity escape velocity and this is a hypothetical situation where life expectancy increases faster than people age and this is basically I know this is going to sound crazy by the way is the fact that you know people could live indefinitely in the near future by defying aging through money ambition and possibly AI so some people believe that this is possible by 2029 and Ray kwell is a big supporter of this I expect by 2032 we'll uh develop what I call Longevity Escape vilocy um so this means right now as you go forward a year using up a year of your longevity you you're year younger however we have scientific research that's coming up with cures new treatments for disease diseases so right now you're getting back around four months so you use up a year but you're getting back four months from scientific research but the scientific research is expanding exponentially so by 2032 you'll get back not four months you'll get back a full year so you use up a year but you get back a year and you basically stay in the same place past 2032 you actually get back more than the year here so you go backwards in terms of time now we can actually see what demisis said and this is the guy that is the CEO of Google's AI team he actually talks about AI being able to cure all diseases which is pretty remarkable but like I said before AI has done some pretty crazy things especially with Alpha for the reason I'm doing all of this is cuz I think AI is going to be incredibly positive for the world I think we we're I think we're within shooting distance of you know curing all diseases with AI helping with climate through Material Science and new energy sources and other things that I think AI can invent as well as you know in our daily lives just improving productivity and enriching our daily lives and um making you know mundane admin things sort of be dealt with automatically I think those are all amazing and that's all coming very soon and if you don't think this is going to happen you know we've already had the slight signs that you know with ASI or Advanced AGI we're going to be able to essentially compress time that's the main concept that they're trying to drive home it's not like an AI is going to be able to immediately solve all diseases it's the fact that like we're going to be able to do accelerated research so the research that maybe we would have got after 70 or 50 years we're basically just going to be able to you know duplicate humans digitally and do that research virtually and essentially from there that's where we compress down all of that research by running simulations either having you know a billion agents scaled out to be able to run those tests for us and then of course bring that into the real world but that is the key Point here is that like we're basically compressing time and that's what they actually talk about with Alpha for which is I think once people understand that once you're able to compress time that is where the timeline speed comes from there's you know 20,000 proteins in humans and then there's 200 million known to science in all of nature so it would just take forever to do it like that so we want a comp computational solution to it and that's what Alpha 2 was and uh sort of essentially solved that problem and then we spent a year folding all 200 million proteins so that would have taken you know equivalent of like a billion years of um you know PhD time which is incredible uh done in one year so that's I think the power of computational method and then Alpha fold 3 which we just released as you said you know last couple of weeks takes that one step further now and biology is not a static system right it's a dynamic emerging uh system and so you to really understand biology you want to understand the Dynamics so in effect Alpha 2 was the static picture of a protein and then Alpha fold 3 now allow s you to understand how proteins interact with other biomolecules um so of course other proteins but also strands of DNA RNA and also things like ligans you know um compound chemical compounds effectively uh useful for like drug Discovery so it's sort of a another huge leap and where we're going with this is eventually I would like to um model an entire virtual cell the workings of really accurately so that one could do experiments in silico on the cell the virtual cell and that would be informative of what would actually happen in the real lab another ### [20:35](https://www.youtube.com/watch?v=0smK_e5QHm0&t=1235s) AI Overton Window thing that this individual also says is that you know it feels outside of the Overton Winden right now to suggest that so much change Could Happen very quickly or to even realistically grapple with what those changes might entail it is too easy to say that the present is more urgent and more real and it's really true you know right now it doesn't seem real that you can even talk about these issues you have to understand that a lot of the times when we realize it's just one breakthrough that ushers a huge variety of different changes like for example the paper attention is all you need is what not started all of this but definitely ignited the global Consciousness in terms of AI and imagine Google just didn't publish that paper or imagine you know chat gbt didn't do that demo where would we be I mean it's just truly fascinating stuff so overall I think this is going to be something that is truly fascinating the people at open AI have key insights into the future and they're essentially saying that you know right now nobody is really paying attention to exact what's occurring the ### [21:29](https://www.youtube.com/watch?v=0smK_e5QHm0&t=1289s) 2030 Transformations Ahead world just isn't grappling enough with the seriousness of AI and how it's going to completely change the world the economy different jobs and potentially the current economic system as we know it now I could go on and on about this but I'll leave a link to a few videos that actually talk about this in a decent bit more detail but definitely guys by 2030 things are going to change a decent amount with that being said I'd love to know your thoughts on what you think about this --- *Источник: https://ekstraktznaniy.ru/video/13396*