Big AI News : Googles Gemini -2 , Claude 3.5 Opus, GPT 4.5 Soon, Apples Stunning Research

in today's video there was actually so much news this week that I couldn't even cover most of it so I'm not going to waste any of your time I would say that this is largely one of the most dramatic weeks for AI and you guys are about to see why there have been a billion different stories that are just insane so let's take a look at the first story okay so I know this I guess technically is an AI news but it actually falls under the branch of AI drama so we actually have Jeffrey Hinton okay stating that he is proud that one of his students fired Sam because Sam is much less concerned with AI safety than profits now I think this

is absolutely insane because firstly Jeffrey Hinton saying this is just incredible because this guy is literally The Godfather of AI for most of you guys who don't know why the significance of this is basically like saying I don't know how I can show you guys the significance of this statement but this is like the Godfather of AI guys just just think of uh you know how much weight there is behind this man's name in terms of AI and he's saying that you know he's glad that his students and when he's saying his students he's actually referring to Elia satova for those of you who you know aren't familiar with the drama that happened to open AI of course because Sam ultman is much less concerned with AI safety than profit so he's basically saying that look okay I'm glad you fired samman because samman was doing some crazy stuff and this is insane because one of the things that we known about you know the AI drama was that the majority of people within the industry they didn't actually talk about this stuff so it's actually crazy that we have literally the god father of AI um and there was some big news as well that happened with him this week which is even better but I'm going to show you guys um what he said cuz it's crazy crazy stuff because it's been a crazy week I'd also like to acknowledge my students I was particularly fortunate to have um many very clever students much clever than me who actually made things work um they've gone on to do great things I'm particularly proud of the fact that one of my students fired s Alman um and I think I better leave it there and leave it for questions so open AI was set up with a big emphasis on safety um its primary objective was to develop artificial general intelligence and ensure that it was safe um one of my former students Ina was the chief scientist um and over time it turned out that Sam Alman was much less concerned with safety than with profits and I think that's um unfortunate now what was even crazier this week for Jeffrey E Hinton and not just only him was that he won the Nobel Prize for science now I

saw that there were a bit of you know Ruffles in the community about like why did they win this for science y y but I think that this is you know as some have mentioned part of the wider Trend where we will start to see artificial intelligence probably start to eat other categories in other field this is because as you know AI enabled you know science is crossplatform meaning that the breakthroughs that we have in AI can be applied to multiple Fields like Alpha fold and predicting the structure of proteins is something that can be greatly applied to science and it's one of those things that in the future it's going to be more than likely that we're going to start to see these things continue to happen as AI manages to enable certain breakthroughs in a science and this is where we got Demis aabus also receiving the Nobel Prize in chemistry and he actually speaks more about this we got a call um from uh from Sweden and uh you know it's most scientists understand what that means and uh actually for me it came through via my uh wife's computer because they couldn't get hold of our numbers they didn't have either of our numbers actually and I had to give them your number so it was quite it was pretty funny um and uh pretty hectic as well but it was um obviously super surreal and actually my mind just went totally blank I mean Noel I think originally set what the prizes that he set back you know 100 plus years ago so obviously there was no computer sign science um but I think it's been you know pretty amazing to see the effect of AI on the other sciences and as a tool you know and I think we'll probably start seeing more of that but um and uh you know it's just great to see that the impact of finally after a lot of us have been working in this field for 20 plus years now and or a lot more in casaste of Jeff Hinton and and John hopfield and um finally I think this is recognition of the actual real world impact these types of Technologies and and algorithms are happen so that's definitely by far one of my favorite things to happen because seeing people that are getting the recognition they deserve for the kind of work that they've been putting in for 20 plus years is just like a feel-good story you know now I did cover this in a previous video but since this is a video where I'm talking about all AI news I'm going to cover this quickly for the next two minutes again but this is basically Dario's amod days um thing where he talks about Machines of Loving Grace how AI could transform the world for the better so in this basically what he's actually talking about is how AI can transform the world in terms of the good possibilities I know most people like to think about AI safety what could happen yada y but he's actually thinking about the good areas where AI is going to have a dramatic effect on multiple areas that I genuinely didn't even think about and it was really thought-provoking I did an hourong long video breaking it down so I will leave a link to that if you want to see the

entire thing but I think one of the big takeaways for a lot of people that really did surprised him was the fact that if you look at where he goes to powerful AI this is where he actually talks about his um definition of powerful Ai and he says that like I think powerful AI which is you know he dislikes the term AGI and I think I'm starting to agree because when we actually talk about the term AGI system that can really do anything I think it's becoming uh more true that it's quite harder to get AGI but it's easier to get powerful Ai and I and I know it's kind of hard to explain but just um let's just focus on what's going on here but he basically says that this type of AI okay AGI powerful a who however want to you know slice the cake um he says that this could come as early as 2026 okay though there are ways that it could take much longer so if this does come at 2026 which right now we're in 2024 okay there's about 2 and a half months left until the end of this year which essentially means that we only really have pretty much like a year for this thing to happen that's like you know let's say a year and six months because said it could come as early as 202 let's think about like early 2026 that's only literally a year and two months okay a year and three months like a year and 3 months is nothing in the terms of technological development so going from where we are now where we have reasoning models we don't even have agents yet reliable scalable agents yet um we could have powerful AI in a year and three months that is something that I think it you know sets the time frame because this isn't an article that is quite hypy in the terms of like oh we're going to have power AI by this year and it's going to be able to you know do all these sorts of things this is you know Dario amod the company that's not really focused on AI hype they've made claw 3. 5 Sonic which is you know according to a new recent study that I was looking at it actually is still one of the best models out there despite I know there's a lot of leader boards that say you know this ELO is going to be yada y um but yeah I I think I think it's going to be really surprising because having these models come out relatively soon is going to be quite a shock to many people and this is why I say you know most people don't realize exactly what's going on in the future now of course he says okay by powerful AI I have in mind an AI model that's similar to days to today's llms in form though it might be based on a different architecture and that is something I'm going to get into a moment okay but it might involve several interacting models and might be trained differently with the following properties so this is where he's basically saying this is how AGI will actually be so when you have the concept of AGI powerful AI this is what you're going to be able to see so he says in terms of pure intelligence it's smarter than a Nobel Prize winner across the most relevant Fields like biology programming math okay that means it can prove unsolved mathematical theorems write extremely good novels I think we can get that easily here and writing difficult code bases from stratch that is something I do believe I don't know if it's going to be able to prove mathematical theorems but the crazy thing about this is that Terren style did actually say that something like this is going to be able to happen anyways okay and he's literally one of the most gifted um mathematicians to ever exist apparently we prove one them at a time or maybe two or three if you're efficient um but with AIS you can imagine in the future um instead of trying to prove one solve one problem something you take a class of 10,000 similar problems and just say Okay um I'm going to tell you AI try to solve these 1,000 problems with this technique and they will pull back oh I could solve 35% of these problems with this technique what about this technique and I can solve this percentage of problems or if I combine them I can do this you could start exploring the space of problems rather than just each problem separately um and this is something that you just you either cannot do right now or you do over a process of decades with dozens and dozens of papers slowly figuring out what you can and can't do with various techniques but yeah with these tools you could you could really do I mean you could really sort of thought SK you know doing mathematics on a scale which is really not really unprecedented um so you know I mean the future is going to be really exciting I think um you know I mean we will still also be proving theor the old fashion in fact we'll have to because we can't we won't be able to guide these AIS unless we also know how to do these things ourselves but we'll be able to do lots of things that we can't do right now he also says here so these are going to be the modalities okay he says that it has you know all the interfaces available to a human working virtually including text which is obviously which we have now audio video mouse and keyboard control and internet access um if powerful AI has internet access we might want to be a bit careful about that so don't but let's not make this AI safety conversation so it says it can G engage in any actions Communications or remote operations enabled by this interface including taking actions on the internet giving direction to humans ordering materials directing experiments watching videos making videos and so on and it does all of these tasks again remember these tasks that we just talked about taking all of these actions on a computer exceeding that of the most capable humans in the world so in a year and 3 months we're going to have ai that is largely more capable than pretty much anything that a human can do on a computer which is going to be a dramatic way that I think the majority of people change computers certainly there's going to be this huge shift for how individuals use the computer um maybe still there's a tool but a lot more Effectiveness is going to be coming out of that and you know here he says um you know it does not just passively answer questions instead it can be given tasks that take hours days or weeks to complete then go off and does those task autonomously so this is the agentic nature of the a that he's talking about which means that of course by 2026 if 2025 is the year of Agents 2026 is probably when they get really good and it also does say that it does not have a physical embodiment other than living on a computer screen but can control existing physical tools like robots or laboratory equipment through a computer and in theory it could even design robots for itself to use so I think that is insane for 2026 for how quickly things are moving and that's why guys I'm literally so focused on AI because I don't think most people realize that like the few months in AI like sometimes it seems like there's not a lot of news but like I said before sometimes there are just areas where a lot of companies are releasing the stuff that they still been working on and these guys are competing with each other on the fasting moving technology so like this stuff is going to move and has moved quicker than most people have thought which is why I'm constantly getting blown away by the timelines and having my expectations reset for what I think about what AI can do I remember it was only earlier this year that we saw Sora and we were like oh my gosh I can't even believe AI can really do this stuff now of course we do have the statement that powerful AI might be here in 2026

some people are quite skeptical about this and there was a recent paper that I did a video on that actually blew up quite a bit and it actually talks about the opposite of this and that we might be a little bit far from AGI and a little farther away than we did think so if you watch the video you're going to know exactly what I'm talking about but Apple's AI research team released this paper now this paper has the AI Community divided this and I'm going to summarize it all for you guys CU I've already done a 25 minute deep dive but basically they have this paper okay and this paper is where they say can large language models truly reason or are they just sophisticated pattern matches the reason they're asking this question is because they want to find out if these large language models actually understand how to solve problems in a step-by-step manner that allows them to genuinely be smart and genuinely have reasoning capabilities so they ran a study and in that study what they did was they had the very famous Benchmark the GSM 8K okay which most models P perform very well at okay so it's just 8,000 grade school math questions which are really easy to solve with varying levels of difficulty and all they did okay which is insane when I first read this I was like I can't believe this is true so all they did was they changed around the value so if they said you know Sophie watches her nephew it might have been Mark which is his brother um and if he Stacks you know 31 cookies it might have been you know 24 oranges all they did was change those values okay change those values around and the resulting you know uh experiment was like okay if these models are truly having reasoning capabilities and they're not memorizing the test with the test results surely they should be able to solve these questions okay and so from that the results were incredible okay they showed that there was like a 10 to 20% drop across a various level of different models basically stating that look if these models were truly understanding the reasoning capabilities we should be able to switch out the values and the names and these models should be able to still get the same results and what's crazy they're like okay maybe the numbers that we switched may have made the difficulty a bit too hard what if we just change the names and if they just Chang the names in these tests the models accuracy dropped by 10% which is not good like why would a model on a math question why would the accuracy drop more than 10% if qualitative data was changed does that make any sense to you guys like it's not like they change the values of the numbers a 10% drop just means honestly I I don't know what else this could mean but that like these models must be memorizing the test to some extent or there might be some data contamination which leads them to believe that like look these things might not be as smart as we think they are so this isn't some random you know research company um later on in the thread here you can say okay that it says overall okay this is pretty crazy over overall we found no evidence of formal reasoning in large language models like open source models like llama F Gemma mistra lead en closed Source models even in GPT 401 and 01 series and they say that this better this behavior is better explained by sophisticated pattern matching so fragile that in fact changing the names can alter results by 10% okay and this is why okay I think it's going to you know maybe Mark a new paradigm for people who are trying to solve these issues is because they're saying that look we can increase the data parameters and compute or even use better training data but this is only going to give us better pattern matches which means that maybe we might actually start to get some new architectures being worked on because this is something that actually is quite surprising and I think there probably is going to be another follow-up paper where these ideas are largely either cemented or largely debunked because it will have severe implications for the industry if just changing the names on tests result in a 10% drop overall for large language models like if someone asked you a question and just switched out the names I don't think that you wouldn't be able to answer those things before now in some AI news and speculation we do have the very famous Jimmy apples someone who has always been accurate with their leaks talking about the new models okay this is somethingone that's been quite accurate across many different AI leaks and Jimmy apples is talking about how potentially we should have a 4. 5 model in October which is probably either today or Thursday so

across this week and across the next couple of weeks potentially look out for a opening ey release which is going to be a 4. 5 level model now the reason that this model might actually be released this week is because some individuals have been speculating that anthropic are going to be releasing their model Opus 3. 5 for those of you who don't know what this model is this model will be largely their successor to the 3. 5 Sonet series and there are pretty high expectations for this model after 3. 5 Sonet blew out of the water many people's expectations I mean most people weren't expecting 3. 5 Sonet to be doing that much but it seemed to work really well so if anthropic can once again scale whatever they did with CLA 3. 5 Sonic and put that into 3. 5 Opus which is their most intelligent model that is going to be um you know really something and when I say most intelligent model I just mean that it's the largest in the family and whatever methods they're using to train the smaller versions of the model they should use that to train the bigger version so this is where you got you know you can see right here that Jimmy apples is tweeting about anthropic proudly presents and you know this was tweeted on October the 10th so it could be today okay which is October the 15th or it could be you know this coming Thursday and I think that this is something that is largely going to happen because I've heard a few Whispers in the AI community and the thing is as well is that if anthropic do release something like this it might blow chat GPT gbt 40 out of the water and I'm not talking about advanced mode and all the great things that chat GPT is doing but anthropics seem to be largely just focused on the raw intelligence of the model which is why claw 3. 5 Sonic the coding abilities have been so good that people have been able to build ridiculous programs and enable this entire ecosystem of you know no code developers that are doing incredible things so I think if anthropic does release Opus 3. 5 open AI are quite likely to drop their GPT 4. 5 in response to that considering the fact that open AI is always in a battle with these other labs for market share and of course recognition now we also got a screenshot that is a picture of the official Logan k at the Google deepmind Event in San Francisco teasing us with the next Gemini you can see that there

is a presentation that says where are we headed we can clearly see that Gemini 2. 0 is on the board okay so this gives us the future of Google I mean largely we do know exactly where the future is headed but of course this is a concrete view you can see that we've got Gemini 2. 0 Next Generation Frontier models which are to be decided of course tune everything larger models multi-turn Vision audio embeddings Etc and of course we've got the new models which are you know like I said before Gemini 2. 0 vo which is Google's stunning video model which is you know nowhere to be seen at the moment imag and 3 which is I'm not going to lie guys okay no glaze to Google seriously and in probably the best um image model and I say that because I've been using it on a variety of different tasks and it just solves them like I don't know what Google did but the text is good the uh 3D rendering in certain you know uh Graphics is good like it can do games really well I don't know why but it can literally you know make a screenshot of any game and it looks just realistic like beyond anything I've seen and it can make like images that you would take on your phone but it's just insane like I've been using image and three for a lot of um social media posts my friends who want images and it's been absolutely crazy so I don't know what they cooked up with imagin but it is absolutely insane and of course they talk about notebook LM now in more Google News imin 3 is actually available to all Gemini users and it's the highest quality image generation model yet and like I said before I don't know what Google cooked up with this model but for me personally I use this model in a lot of different scenarios and I think I don't know what they cooked up with this I think it's just because Google largely has better data with you know YouTube and stuff like that and Google photos I think they were just able to cook up a better model so I would definitely give this a try if you have access to Gemini if you're someone that uses AI images on a day-to-day basis try it out and see if it works for you because there's all of these models they're all trained with different data sets and you get to see where it excels and there's certain specific use cases that you can use it for that other models just don't Exel if you did miss it earlier this week we did have the Tesla event which was truly fascinating we got to see the robo taxi and of course we got to see our friend Optimus being deployed in various different areas now I got to say a lot

of people you know were quite confused about Tesla's Optimus robots like for example right here these robots are clearly fully autonomous in their walking as someone who pays attention to AI I know that this stage is of course fully autonomous but there were stages where the robot was teleoperated and it's actually led to a little bit of a backlash with individuals claiming that they were fooled SL duped by Elon Musk as with prior events he may have you know tried to wow investors with flashy demos but I don't think so I think they just wanted to collect more data and if it was fully autonomous I would say that they would say so my thing is now is that if you see a robotics demo or any kind of demo always presume that it is tell operated unless said otherwise for example in these videos if it was fully auto autonomous we would see it on the right hand side of the screen saying fully autonomous at one time speed or whatever it is so of course the general public don't really understand that and that leads people to believe that it's something that fooled them I would kind of disagree because it didn't really seem like that from the marketing they just didn't say that it was completely teleoperated because there was no need but anyways this just gives us a glimpse into the future because I think that this is what the future might look like interestingly enough now we also got dream V2 a powerful all-in-one video generator basically bite dance the parent company of Tik Tok is an AI currently in beta testing for version 2. 0 this offers a variety of different

AI video features and like I said before AI video is getting absolutely insane I genuinely believe that like within the next two years we're going to be able to prompt probably an entire film and we're going to have a lot more character consistency and control in terms of what we see from these AI things so I mean I think within 2 years we're probably going to be able to get our own shows um from a single prompt although I do think that probably the largest thing that's probably going to stop this from happening is of course the compute costs if these you know companies can't figure out how to make this really cheaply because we even saw meta's movie gen be released in outstanding quality but it was really expensive to do and that was also something that we saw that kind of you know hindered opening eyes Sor a release so it will be interesting to see if we can manage to figure out how to do this more efficiently because then we're going to start to get some really creative films and I think what most people don't understand is how many teams go into an actual TV production show like you've got I don't even want to talk about the executive producer the writer the script editor that there's just a billion different things okay that go into um doing this and having people create their own TV shows I mean it's going to be interesting okay there's going to be a lot of content to consume in the future so it will be interesting to see how this entire space develops now we also had the gener generative video also get some other areas so for example for those of you who like AI video Adobe also announced their Firefly video model which was pretty surprising because this model is really good and the most

surprising thing about this model is that they actually were able to train this model with their own not their own data but commercial use data that they actually have the right to and they were able to get the quality to look outstandingly good so I can't believe that this is here because this now means that the Creator space in terms of you know individual creators that actually want to create their own AI films is going to completely expand because not only did they have this text to video beta in Adobe Firefly this is natively baked into premere Pro in the new version in the future it's going to be natively baked in which means a lot more people are going to be creating things like AI videos um and AI images and just genuinely expanding what we already know so we're going to see a lot more creative pieces of content and for all the pieces of content that we do see we see the content that looks really effective in terms of the character consistency the shot consistency and just how the scenes are so this is a of course video not video company actually a company that works with these tools first so seeing this um is quite surprising and I think they have the you know best ability in order to actually get this right in terms of the user experience because I think other companies they do very well at making the underlying technology but companies like Adobe are the end product where users really use the technology Premier Pro Adobe Photoshop um Adobe Illustrator all of those things are where people actually use you know the technology so if that can natively bake AI in it's probably going to result in a much you know faster adoption rate than just traditional you know AI tools online so this is going to be something that's really interesting one of my favorite things is that you know if you ever wanted to change a scene for example you've got someone here that's flicking up a switch let's say you wanted him to pull out the plug you could you know immediately get that last shot um redone with Adobe Firefly so this is something that I think is really cool and if you enjoyed today's video do leave like subscribe all that good stuff and I'll see you guys in the next one