# GPT-5 is the JOB KILLER! Millions Set to Lose Everything!

## Метаданные

- **Канал:** TheAIGRID
- **YouTube:** https://www.youtube.com/watch?v=e-Cb6YWhtkA
- **Дата:** 19.05.2024
- **Длительность:** 13:12
- **Просмотры:** 46,355

## Описание

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## Содержание

### [0:00](https://www.youtube.com/watch?v=e-Cb6YWhtkA) Segment 1 (00:00 - 05:00)

so that was a recent statement that was in some controversy because it's a statement that means this year is probably going to be the craziest year in AI so far and probably every year is going to be after that but this one's pretty crazy so you can see right here that someone is claiming that Dan Schulman the former PayPal CEO was regarding and talking about the impact of AI and stated that GPT 5 will be a freak out moment and that 80% of the jobs out there will be reduced 80% in scope and this is a pretty bold claim with some pretty wide reaching implications for the entire industry and whilst the clip doesn't actually state that GPT 5 will be a free Cut moment what I'm guessing happened is that he stated that and then he started recording this so take a listen to this 35% of their report will go away um and that so think about that that's again if you're already using Cody or code assist or code whisper with your developers right now probably many of you are you already seeing a 15 now whilst this honestly was quite a terrible clip and it wasn't that great I think that this clip does have a lot of Merit because I do think that if gp25 is even as a fraction as people claim it to be and when I say I'm currently regarding to the current members of open AI including Sam Alman and the VP of product I'm not sure about his name but I'll include a clip of him I just can't remember off the top of my head but they're basically stating that GPT 4 is absolutely useless it's dumb it's awful and for someone who admires GPT 4 uses it over the other states of-the-art models and uses it on a consistent basis for someone to state that such an amazing tool is awful really means that our perception of what is great is going to be changed monumentally now let's actually really analyze this clip okay gbt 5 is going to be a free cap moment we've analyzed that but 80% of the jobs out there will be reduced 80% in scope now the thing you need to know is that not every job is related to AI so this is a bit of an exaggeration but this does probably impact the jobs that are on a computer and I'm guessing that this is referring to agents which we will dive into later now there was also another rumor that I'd love to discuss and whilst this might be a rumor I don't think this is truly crazy so there's a third hand rumor going on that samman thinks GPT 4. 5 will ultimate 100 million jobs globally okay and I'm going to break down this statement okay so just bear with me because I know that there are some crazy rumors going on but I think this was before the announcement of gbt 5 but I'm guessing that these were Tech Whisperers or Tech Whispers from what people heard Sam Alman has St stated so the statement just discusses the prediction and here's a critical analysis of the statement so the first thing that we have to think about is the magnitude of the impact the prediction that gbt 4. 5 could impact 100 million jobs globally does represent a significant impact suggesting a transformative effect of this technology on the job market and this number which constitute 3% of the roughly 3 billion Global Workforce highlights the potential skill of disruption caused by advancements in artificial intelligence which would be pretty crazy okay and the time frame for impact is actually quite conservative the statement posts that 0. 5% of jobs would be automated annually over 7 years and this gradual implementation actually suggests a more manageable transition for the global economy compared to immediate large scale job displacements displacement and allows for labor markets to adjust for retraining programs to be implemented and of course for potentially new job roles to emerge that are actually complimentary to this technology now here are some assumptions the assumptions that 3% of all jobs can be automated May underestimate or overestimate the true capabilities of gbt 5 it actually assumes uniform applicability across various sectors which might not account for significant differences in the complexity and automation Readiness of jobs and it bases the capabilities attributed to a version gbt 4. 5 or gbt 5 which is hypothetical and not publicly described in detail therefore the estimate might not fully align with the technological capabilities or limitations although we do know that the labor market if presented with a model that does address some of the inefficiencies of the previous ones would certainly change now the impact on the labor market is probably going to be negative the negative impacts could involve job displacement particularly in sectors that are highly susceptible to Automation and this could actually exacerbate inequalities if mes such as

### [5:00](https://www.youtube.com/watch?v=e-Cb6YWhtkA&t=300s) Segment 2 (05:00 - 10:00)

retraining or redistribution are not effectively and swiftly implemented now this rumor of course it is a lack of credible source and the statement is presented as a thirdhand rumor without citing any reliable sources or evidence to support this claim and of course automating 100 million jobs globally would be an enormous unprecedented impact for a single AI system and of course with this vague timeline it means that this probably isn't going to happen but it's still something that I do think to continue there because it's not something that I haven't seen just once I've seen it a few times floating around the industry and open ey actually also did do a research paper in which they actually spoke about the look at the labor market impact potential of large language Mals and this was released in August 2022 of or 2023 where they essentially investigate the potential impact of llms and it's pretty fascinating they state that you know our findings reveal that around 8 80% of the US Workforce could have at least 10% of their work tasks affected by the introduction of LMS while approximately 19% of workers may see at least 50% of their tasks impacted and they state that we do not make predictions about the development or adoption timeline of such LMS and this spans all wage levels with high income jobs potentially facing greater exposure to llm capabilities and llm powered software and you can see here that it says that we conclude that llm such as GPT exhibit traits of general purpose Technologies indicating that they could have considerable economic social and policy implications meaning that we are about to enter a paradigm where every single AI release could potentially impact the entire labor market in a way which requires different policies to be made different social implications and of course the labor market fundamentally changing so there are definitely some crazy statistics here that I think whilst yes they are conservative for the paper maybe at the time of writing them they didn't take into account some of the things like gbt 5 and just how good that system would be because it was only recently after the system finished training that we did get clips from Sam Alman stating just how crazy the comparison is between gbt 4 to GPT 5 now in addition Sam Alman did say that jobs are definitely going away full stop you can see here that Alman was blunt about ai's impact on employment jobs are definitely going away full stop he does note will often replace these jobs with new better ones but says Rota we're being unrealistic if we pretend this isn't going to affect things he says the probability is greater than ever that we'll see a massive impact on jobs in the next 2 to 3 years so 2025 2026 when GPT 5 and GPT 6 are here that's when we're truly going to see massive changes in the labor market due to the upskilling the reskilling the retraining and of course the changes in terms of job demands and job placements so of course he says what to do about it it's time to stop ignoring ai's possible impact on employment we're already concerned about ai's potential power yet it's still very early and to date AI models have largely been trained on text and they are now quickly learning from other types of multimodal media like code images videos audio and more and this will very likely rapidly result in significantly more powerful and capable AI systems so overall samman clearly has already stated here even if you don't believe the fact that you know he said that gbt 5 or gbt 4. 5 and we do know now that it's GPT 5 is going to automate 100 million jobs globally we do know okay that samman has said that jobs are definitely going to go away full stop so it's important to understand that takeaway is there now if you're wondering how is this all going to change basically openi has shifted their focus open ey has shifted their Battleground to software that operates on devices essentially open ey are basically just trying to focus on agents and this is because when we saw the Devon demo we all realized how crazy it would be if this was something that was actually effective something that actually worked and not just a 13. 86% in terms of thewe bench but imagine it got to 100% how would that fundamentally change things if it could really do any software engineering tasks through browsing unlike any task that a standard software engineer could do now the thing about agents is and I think people did really forget this because even if you think gbt 5 won't cause a free Cut moment change is coming I think the next release will be the most impactful release ever and I'm not just stating that don't take it from me take a look at this so it says opening eyes plans for an agent that takes power over people's computers will require the user's permission to work to operate in a personalized fashion and respond quickly the way Apple Siri does on the iPhone the prospective open ey computer using agent may need to be partly stored on the user's devices the company may also need to get permission from users to train the software on personal data such as individuals emails and contacts as well as information stored in business apps like word and Google docs

### [10:00](https://www.youtube.com/watch?v=e-Cb6YWhtkA&t=600s) Segment 3 (10:00 - 13:00)

that isn't the interesting part is on this slide so this is where we have a statement from someone that works at open AI openi vice president of product remarked on Twitter that the product in new house described will change everything so you can see here that this is going to be the future of AI models and this is basically GPT 5 so this is from a secret presentation do apologize if you've never seen this before but this is pretty crazy so we've got one multimodality two reasoning three personalization for reliability and number five being AI agents and the reason this is so crazy is because I think agents is being left for GPT 6 because I'm sure when I checked the trademark GPT 6 and gpt7 you could see that there were int artificial intelligence agents so I don't think we're going to get agents yet but I think if we take a look at the fact that multimodality means that we're getting an AI system able to handle many different forms of content like images and video and I think right now openi are working on scaling up their video technology because Google Gemini they really did make some breakthroughs in terms of how much video they can analyze so I'm guessing that they want their systems to be state-of-the-art that might be a bit of the reason for the delay and of course the reasoning I think this is out of all of these I think the reasoning is probably going to be the biggest thing because it means that these AI systems are going to be a lot smarter and if these AI systems are a lot smarter it means that they do have a lot of bigger applications because it then means that they're going to be in newer Industries where they weren't before which means that we're going to see more widespread adoption and I think reasoning and person and personalization and reliability personalization for the average person because you use it on a day-to-day basis you want to have the AI system to know exactly what you do on a day-to-day basis but I think the reliability and the reasoning are probably going to be two of the most important things because reliability is something that if you're working with a giant company at skill you don't want your you know AI system to get a few figures wrong you don't want it to recall an incorrect value because you can lose money and of course you want it to be smart enough to be able to reason and of course correct itself and be able to be 100% accurate so I think like they've stated you know this next Frontier with all of these capabilities you know right here that we're all seeing this is truly going to change everything and I think that's why maybe he referred to it as a freak out moment because a lot of people just think that with gbg 5 text is going to get better longer it's probably going to get faster but everything changes once you have multie modality reasoning personalization and reliability because I think that's when we truly see just how crazy these models are and the fact that they've said that these models are dumb I mean we're truly about to see the comparison from gbt 5 to gbt 4 so with that being said now in a world of all this disruption from artificial intelligence you actually do need to be doing some kind of preparation that's why I have my private AGI Readiness Community where you can get exclusive early access to my latest videos exclusive in-depth reports on how you can actually protect your career from automation making smart AI related Investments and implementing my proven framework to make you and your family more resilient during the AGI transition many people are already enjoying the results and if you don't want to get left behind you can click the link in the description to join today

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*Источник: https://ekstraktznaniy.ru/video/14302*