Sam Altman FINALLY Reveals GPT-5 (GPT-5 Explained)

so we actually finally got the road map for GPT 5 and the reason I'm actually really excited to be recording this video is because for once we're actually not getting a bunch of random speculative information we're actually getting the entire GPT 5 road map laid out for us to completely understand so let's not waste any time and dive into exactly how GPT 5 will be deployed because it does offer us some rather interesting information that goes to show how these future a systems will be and I actually do agree with this and I think this is how most AI systems will be when it comes to Major chatbot providers so you can see a few hours ago Sam Alman tweeted that this is going to be the official road map update for GPT 4. 5 and GPT 5 and he says that he wants to do a better job of sharing the intended road map and much better job at simplifying the product offerings he said that you know he wants AI to just work for you and it realized how complic ated the model and product offerings have gotten so basically what they're talking about is the fact that if you've ever used chat gbt before and you're someone that is using it you know and you've got a lot of money invested and by that I mean let's say for example you're paying for the highest tier chat GPT currently is a complete mess now I'm going to show you guys exactly what I mean by that so when you come into chat GPT it does seem pretty simple but when you do this drop- down menu right here you can see that unfortunately as someone who has a different layout to you probably do I have one two three four five six seven gp4 mini and eight gb4 and nine if you include the temporary chat basically the problem with this is that this causes analysis paralysis and what this does involve is that this involves users decisions so for example when someone comes to use the AI chatbot they genuinely don't know which model is the best because You' got GPT for questions gbt 40 scheduled 01 03 mini High 03 mini 01 prom mode you've got basically too many choices and one thing that they constantly say in product choices is that if you have too many choices your product is going to fail and in this instance for chat GPT what they want to do is they actually want to simplify this entire thing here because this is far too complex for the average person to use as someone that knows exactly what I'm going to be doing for every task for me this is just fine but for the average person this is actually a detriment and isn't actually a good thing so they're actually going to change this in a really interesting way which I will talk about later and this is where they actually talk about how they hate the model picker as much as we do and want to return to Magic unified intelligence so I do think that one of the approaches that they're going to take to sort of return to this unified machine intelligence is through the router llm so basically this was I wouldn't say a framework but this is basically how you set up llms in order to basically make things a lot easier so you would have your single system prompt your user prompt actually not the so for example you might put what's the weather today and then there's basically a router that analyzes every single prompt that is put in so this router will look at your question that you put in it will analyze the cost the latency and basically it will look at your question and think okay does this question need to be routed to a really difficult model or does this question you know need to be routed to a super easy model then I can answer within 2 seconds if it is a hard question it's going to be put towards the most intensive llm the one that's going to think for very long periods of time and if it's something very simple like you know which came first the chicken or the egg it's going to be routed to a very simple model and then of course finally you get a system response now this is something that they have tested before maybe not opening ey but I do know other companies have tested something like rout llm before and it has gone very well considering the fact that I think it dropped cost by around 85 % and you can read more about this at this blog post route llm an open source framework for costeffective llm routing and basically just talks about how in their routing setup they focus on the case where there are two models a stronger more expensive model and a weaker but cheaper model and their you know aim was to minimize costs while achieving high quality between routing through two models and you can see right here that they said a top goal for us is to unify the O Series models and GPT series by creating systems that can use all our tools know when to think for a long time or not and generally be useful for a wide range of tasks so like I was talking about the previous framework route llm it's quite likely that we will have a situation on our hands where we do get a system that is basically all in one and it's quite likely that we're going to get future models as an all-in-one system so whilst yes there might be you know parts of the system that are O3 mini and 03 you know high or whatever it seems like we're basically moving towards one giant model or you

know orchestrated set of llms that basically provide you with this unified level of intelligence and it's quite likely that you know depending on your tier you will have access to you know those levels of intelligence so maybe if you're paying $200 a month you get access to the model's entire brain all the you know Advanced reasoning capabilities but if you're just a free user you know you can maybe query it about one or two things a day maybe just 10 to 20 queries a day um and that is going to be how the model is probably deployed because it's you know a lot easier to do that rather than having six different models and then when you know different companies come out with different models they're like okay this model is clearly better but this is probably going to be a lot better for opening ey in terms of their branding and they also state that you know in the chat GPT and you know in their API they're actually going to release GPT 5 as a system that integrates a lot of their technology including 03 okay and they said that the no longer going to ship 03 as a standalone model so it's clear that GPC 5 is probably going to absorb 03 as just part of its you know architecture and it's going to be I guess you could say part of that model for quite you know some time so it's like gbt 5 is probably going to be a system that compromises of maybe 03 01 you know different parts of different questions which is going to be super interesting to see how that you know entire system works and something that they also said here that Sam Alman said that I think Super interesting is that he said that GPT 5 as a system okay he says it's going to integrate a lot of our technology and I don't know if this includes everything that we currently have because there was one time that samman said that you know this year they are going to be releasing something that nobody has even thought of yet and I think that is going to be super interesting so I'm guessing that GPT 5 is probably going to be also you know a computer agent I'm guessing that they're probably going to wrap the name underneath that because that is what makes sense so that does intrigue me a lot because I'm thinking what on Earth you know uh you know is like the final version of GPT 5 going to be cuz I know that the model is really smart but they also did say that you know they're going to ship the next you know ship GPT 5 five they also said that you know we will next ship GPT 4. 5 the model we called Orion internally as our last non-chain of thought model so what they mean by this is that the last Model that they basically did the old method of training where you know you basically collect a bunch of data put all that data in the model train it you know then have the post training the fine-tuning and all of those things that you have for a standard model output like a GPT 4 a GPT 40 all of those things basically are going to go in the last Model so it's clear like I said before we are on a new paradigm of training these models and it's clear that the GPT 4. 5 is probably going to be in my this is just my best guess it's probably going to be on the level of claw 3. 5 Sonic but probably a lot better than that probably not a lot better probably marginally better because CLA 3. 5 son it is just so good but I'm guessing it's going to be qualitatively better because you know whilst you know other models do surpass Claude 3. 5 on benchmarks internally when you use a model like clae it just seems so much smarter and it just always seems like it actually knows what's going on so I I'm thinking the opening eyes aim is to probably just Edge out claw 3. 6 Sonic and I think they will be able to do that with GPT 4. 5 which is the model they called Orion internally which they knew was smart but I'm guessing the reason why they didn't deploy this before which most people were wondering um and they actually spoke about this in a article before was basically the fact that the model it just cost too much in terms of inference so they couldn't serve the model yet but we do know that as time passes inference consistently drops if you remember yesterday's video we spoke about how Sam Alman he speaks about how like literally every 12 months the price of llms drops by around 10x so it's quite likely that in the past few months okay since they've managed to train this model and do all the safety testing the price of inference has dropped to the point where it's going to be reasonable so that they can release this model now they if we do talk about you know the estimated time of arrival when is this model going to come we have weeks and months this is what chubby said any ETA for gbt 4. 5 or gbt 5 so for gbt 4. 5 it will be likely coming in the next coming weeks so I'm suspecting by the end of March that we would have GPZ 4. 5 and for gbt 5 I'm guessing maybe by the end of Q2 or Q3 but that is just my very best guess so for that in terms of time frames if you want to think okay one of these next models coming out that is going to be that aspect of that area so for me that's what I do think in terms of where that is going to be now of course for free users they actually talk about you know the free tier of chat GPT is going to get unlimited chat access to GPT 5 at this standard intelligence setting note standard

intelligence and this is of course not the high intelligence so there isn't going to be you know like 03 mini high so it's not going to be accessing the long chains of thought that are at the threshold of you know the most intelligence that we could currently access but it does seem like this is a move because with deep seek they basically just gave away you know crazy level intelligence at a fraction of the cost and it basically made it more cost effective for people to use deep seek than anything else which is really intriguing so you know we can also see that they also talk about you know the fact that plus subscribers are going to be able to run GPT 5 at a higher level of intelligence I'm guessing having the model to think more and of course tap into those long chains of thought that provide you with deeper insights to your queries and it says Pro subscribers will be able to run gbt 5 at an even higher level of intelligence and these models will incorporate voice canvas search deep research and more so I think what openi are doing are basically saying look if you want access to our free models you are going to get that for free but if you want access to you know voice canvas search and deep research you're going to have to probably play the highest level which is probably around $200 a month and I know that does seem quite expensive but I think what openi are banking on is that every single time they release something they're basically just going to add it to GPT 5 as a system so overall as the system gets smarter and smarter what you're paying for essentially Goes Down and Down if that does make sense so yeah it's going to be really interesting to see how the pricing Works opening I have discussed paper usage pricing because of course $200 a month is absolutely insane I don't think anyone I know personally could get that much value out of the model but it definitely is something that people will be doing so I also do think that something that was super interesting was will you be smarter than gbt 5 and this is where samman actually talks about the fact that you know he doesn't even think he will be smarter than GPT V how many people feel smarter than GPT 4 okay how many of you think you're still going to be smarter than gbt 5 expecting more hands here um I don't think I'm going to be smarter than GPT V and I don't feel sad about it because I think it just means that we'll be able to use it to do incredible things and you know like we want more science to get done uh we want more we want to enable researchers to do things they couldn't do before this is the of this is like the long history of humanity um it does feel a little different this time because of what this can enable but if scientists can do things because they have like a crazy high IQ tool and they can focus more on figuring out the right questions to ask address things quicker do their search space faster uh that's just a win for all of us so we're thrilled to get to so with that being said what do you guys think about gp5 are you excited I think I'm excited for the unified intelligence I think this is something that actually makes sense unifying these models into one entire thing just makes so much sense in terms of the work you're trying to do and the Simplicity of the model there was a famous example in marketing that you guys might not actually know about but just take this as a business lesson where there was a jam store and basically with this Jam store they had two stores they had one that had 24 choices of jam another one that had six choices of jam and then in the 24 choices you think that because there were more choices more people would be buying because they're offering more services but only 3% of people actually bought but when they had six choices a jam 30% of people bought and basically this talks about when you have too many decisions you don't actually pick anything and it's the same thing with AI when users have chat GPT and you have you know GPT 401 03 mini High the problem is that you have too many choices when we go over to Claude we have maybe three models when we go over to Gemini we have maybe one or two models that we're going to be using and in fact Gemini has probably twoo too many models now but the point is that like clae everyone knows it's clae 3. 6 on it that's the one model you use and it's like with deep seek you know you have the thinking model that's the basic model that everyone uses so with this you've basically got too many choices so it's quite likely in the future these are going to be unified into one big model SL architecture so with that being said hopefully you guys enjoyed the video and I will see you guys in the next one