# ALL AI News: Googles NEW Models, OpenAIs NEW Models, ALL New Humanoids, Chinas AGI And More..

## Метаданные

- **Канал:** TheAIGRID
- **YouTube:** https://www.youtube.com/watch?v=WV25tCCQtDg
- **Дата:** 02.01.2025
- **Длительность:** 1:00:48
- **Просмотры:** 26,670
- **Источник:** https://ekstraktznaniy.ru/video/13439

## Описание

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00:00 - Introduction
00:14 - Research on OpenAI’s Reasoning Abilities
00:39 - Tokyo’s 3D Digital Twin Release
02:00 - AI Hallucinations Driving Scientific Discoveries
03:24 - Google’s Genie 2: AI-Powered Game Creation
06:16 - Google DeepMind’s GenCast for Weather Forecasting
08:13 - Amazon’s AI Advancements and Nova Models
10:10 - Open Source Video Models: Revolutionizing Content
12:01 - Breakthrough in Brain Mapping by Eleven Bios
13:28 - AI Generating Realistic 3D Worlds
15:21 - Elon Musk’s Grok Aurora for Lifelike Image Generation
17:01 - Conversational AI by Eleven Labs
19:15 - AI’s Role in Cybersecurity
20:12 - China’s Progress in AGI Development
24:01 - Humanoid Robots in Factories
28:50 - Google’s Generative Chess Experiment
30:41 - AI and the Risks of Superintelligence
34:11 - Conscious Machines: The Next Frontier
36

## Транскрипт

### Introduction []

in this video I'm going to be giving you guys all the AI news from December so stick around cuz it's going to be a long one but of course always time stamps are going to be in the description so one of the first AI stories is the fact that step-by-step blueprints reveal how to recreate opening eyes o1 reasoning abilities from scratch and essentially

### Research on OpenAI’s Reasoning Abilities [0:14]

the long story short here is that there is a research paper that has come out of China that basically talks about how you can recreate the reasoning abilities of o01 using four key pillars and this is something that I covered in a video likely yesterday or the day before but it's just super interesting to see how we get to a you know ASI and the reason I say that is because one of the key sentences that actually stood out from this paper was a sentence where they basically said that like because of how

### Tokyo’s 3D Digital Twin Release [0:39]

the system architecture is because this is a system that continually manages to look at its past Solutions look at you know millions and millions of different maybe not Millions but different ways to search through the possibilities of answers it's basically not a foolproof method but a real strategy that could get us to artificial super intelligence or superhuman performance on a of different tasks and when I actually read the research paper in depth like I said I've probably already released a video on it was just truly astounding because now when I look at the statements of people in the industry saying you know um ASI is coming ASI is going to be you know three years away four years away now it actually does make sense based on that kind of research like reading this paper is something that's really interesting because it shows us the key building blocks for what could potentially be ASI and we've already seen superhuman performance in you know things like Alpha go and that was something that was quite similar that they reference to in this paper so it's a super interesting read uh and basically you know AI is about to speed up once again because with the secrets R it means that you know people can start building and of course adapting and of course things are going to be moving faster now we also had Dr Jim fan state that you know the city of Tokyo released a 3D digital twin of the entire city in high resolution Point Cloud free to download and he said it's an inevitable Trend that more and more houses more and more cities and factories will be transported into simulations robots will not be trained in isolation they will be simulated as

### AI Hallucinations Driving Scientific Discoveries [2:00]

an iron Fleet deployed in realtime Graphics engines and scaled across a huge cluster to produce the next trillions of high quality training tokens and the majority of embodied agents will be born in simulation and transferred zero shot to their world when they're ready so the reason that this is important is because Dr Jim fan is leading the way in terms of you know robotics research and humanoids at Nvidia so this is super interesting because I do believe that this is the way forward and earlier this year we did get something called a genie which I'm going to cover later in this video which is basically an advanced engine that allows you to train robots and simulation then transfer them zero shot to the world so it's super interesting to see how this is going to be the case I mean maybe you know you have something that scans your home and then a robot is just easily able to you know walk around your home navigate understand absolutely everything or simulate a million different things happening on in your home or your kitchen and it's able to you know just update this policy I mean it's crazy this is like SciFi level stuff that we're dealing with so I can't wait to see what they produce in 2025 I have big hopes for them as well and then we also have the fact that AI is doing big things because one of the things that people complain about okay is the fact that like you know AI often gets criticized because it makes up information that appears to be factual known as hallucinations but the plausible fakes have Ro have royed not only chatbot sessions but lawsuits and medical records for a time last year a patent a patently forced claim from a Google chat bot helped drive down the market value of the companies by as an estimated 10000 billion but in the

### Google’s Genie 2: AI-Powered Game Creation [3:24]

universe of science however innovators are finding the AI hallucinations can be remarkably useful the smart machines it turn up it turns out are dreaming up realities that help scientists track cancer design drugs and invent medical devices UNC weather phenomena and even win the Nobel Prize so you know how AI systems manage to hallucinate this is something that is actually in some cases helping scientists because when a model hallucinates it generates something that it wouldn't usually do and because it's something that you know is out of the ordinary sometimes that can be something that is really important in terms of the discovery like if we look back at you know the discoveries I think it was penis that was like a mold that you know got left accidentally um and these are the kind of strange things that can happen that can lead to Revolutions so having an AI system that has you know some level of creativity you can turn up the hallucinations maybe I mean it's going to be super interesting to see if that is also another way for AI systems to become even smarter so there is value in a lot of the ways that these systems go something crazy that was really cool was Google's Genie 2 now genie2 was absolutely incredible because I think this was something that went really underrated SL under the radar simply because we don't have access to it yet but this was something that was launched by Google and I think it was one of the things that just is like mind-blowing when you think about what it means for the future of AI now of course you can see on screen what you're able to do is simply create video games by Simple Text prompt so you can say create me a game that exists on Mars create me a first-person shooter in this area and you can literally explore them now I do know that you know multiplayer games are pretty much a lot different compared to the single play games but I do still believe that the applications for this are going to be completely different like if we can manage to figure out how exactly we can you know solve these generative worlds and make them consistent in terms of you know the the consistency from looking to one way to looking another way and that's something that Genie has been able to solve it's going to be really interesting to see how the gaming industry is impacted by this I know some people would love an AI generated game the idea of playing games that are procedurally generated everything is completely new that has endless playability is going to be something that I think you know in the near future maybe let's say 10 to 15 years maybe games are going to be AI generated in a way that every person has their own unique tailed experience and I wonder what that will do to the replayability of a video game if every single time it's AI generated everyone has a new and crazy experience so this was something that I wouldn't underestimate because gen 1 was 2D and now Genie 2 is actually 3D so this was a huge Improvement in terms of what they were able to do and this was actually even better than the Minecraft AI that was released not just I think maybe one or two weeks ago so this was something that I think went under the radar did make a video on it but I know that this is something that they did miss out on so it's going to be really interesting to see what happens once this stuff finally gets integrated

### Google DeepMind’s GenCast for Weather Forecasting [6:16]

into other games and of course when demos do become available so that's what I'm really excited for so that will be really interesting then we had Google's gen cast which is an advanced AI powered weather forecasting model developed by Google Deep Mind this basically leverages machine learning techniques to deliver faster and more accurate weather predictions compared to traditional models in this video you'll see an overview of exactly what it's capable of and how AI regardless of LMS is actually changing the entire world for centuries humans have struggled to understand the weather from putting a wet finger to the wind listening to Cricket chirs and looking to the Stars For answers now we believe AI can help us advance and understand how we can predict it meet metet 3 and graphc our deep learn models designed to generate more accurate weather forecasts traditional methods work by simulating entire systems with hundreds of variables interacting in practice this means abstracting those variables into equations and then manually coding them into algorithms our AI models take a different approach they analyze past weather data to learn cause and effect relationships between weather conditions these learnings allow the models to find subtle Trends and patterns inside the data which they extrapolate to predict what could be coming metnet 3 and graph cast outperform the best systems in the world seeing further into the future more accurately efficiently faster and in better detail for every day and even extreme weather metnet 3 is already improving the accuracy of 24-hour weather forecasts on Google Search and we have open sourced the graph cast model which the ecmwf is using to generate forecasts and make them accessible on their website imagine a future where we can help people to prepare earlier for hurricanes enable Farmers to grow better crops or even help us decide if we should pack an umbrella AI won't just help us predict the weather it'll help people make better decisions about their

### Amazon’s AI Advancements and Nova Models [8:13]

lives I quickly do want to add that I know that this video of gen cast was cool being able to predict the weather and stuff like that but I do think that like in the future a lot of AI tools are going to be able to really predict things that we may not have thought like there was even a study on how they use GPT 4 to I think with the degree accuracy of 80% accurately predict state by state what the you know the the results were which is just like mind-blowing like I couldn't even you know fathom how that was even possible with gbt 4 and this is why I say that these llms are a lot smarter than we think so I'm thinking in the future AI is going to be predicting a lot of different things and weather is just one of those many different things that's going to be able to do that now of course you know previously last week I spoke about how Amazon introduced a whole host you know whole Suite of models they introduced micro Nova light Nova Pro Nova Premiere but um I didn't know that Jeff Bezos was actually you know very engaged in terms of the AI going on at Amazon what is it that you're doing at Amazon ai yeah so I mean there are a few things but small but it's 95% Ai and where do you it's just so because there we are literally working on a thousand applications internally so AI you have to remember AI modern AI is a horizontal enabling layer it it will it can be used to improve everything it will be in everything um this is most like electricity these kind of horizontal layers like electricity and compute and now artificial intelligence they go everywhere there isn't I guarantee you there is not a single application that you can think of that is not going to be made better by AI now whilst everybody is focusing on AI I also I'm focusing on AI and I'm using this 60-second window to shamelessly plug my AI grid Academy this is something that I've recently revamped where over 200 people are using AI agents and prompt templates to make money and every week we share a bunch of different resources on how people can take advantage of this AI Revolution as

### Open Source Video Models: Revolutionizing Content [10:10]

we know that many companies are focusing on this as their future one of the things I have is a workshop Wednesday which is going to start in 29 hours which is I break down winning strategies into simple actionable steps I have private videos where I'm showing you guys exactly how to use AI agents to make money then on Fridays actually showcase the best AI tools to automate a lot of this stuff and of course on Sunday I actually break down various case studies from in the community and of course around the internet on people that are actually making serious money with AI if that is something that interests you don't forget to check it out it's going to be one of the first links in the description and now let's get back to the video managed to do something crazy open source video has gone absolutely you know wild we've got open source video Hunan which is uh like I don't know like the crazi thing about this like genuinely guys I was seeing this video and I thought this stuff looked really good okay then I saw people actually run the model and they made videos and they like posted them over Twitter and it was genuinely one of the most difficult things to see whether or not content was AI generated because this open- Source video model I don't know what they trained it with but stuff that was like fil filmed on like a raw camera iPhone so the footage that you see it's not polished but it's so awkward that you will believe that it is realistic which just makes you question things even more like there was a video of trump um I think he was kissing another woman that I genuinely sat at my desk for like 5 minutes trying to figure out whether or not it was AI generated eventually I realized it was but um it was something that I was like okay we've definitely reached yany Valley because this video generator is just incredible and the crazi thing about all of this is that like this is open source like anyone can you know run this there's there's providers that you know you can run this with so this is something that I think is going to completely change the game because first it's their first iteration and secondly imagine what we have in 3 years when we have real open source video generation you know tools and software

### Breakthrough in Brain Mapping by Eleven Bios [12:01]

that is so effective so I honestly am stunned by this one genuinely like when I saw the videos of trump and Elon Musk doing certain things I was like what this is you know AI generated I was like okay okay new paradigm entered and the fact that like I said before it's locally running on people's devices is just absolutely insane so you know if you start to see videos of famous individuals doing certain things trust me guys you won't be able to tell and now I would you know put on my speculative hat even more than you may already have another thing that was released was E11 bios gamechanging leap in brain mapping cheaper faster and smarter so they basically announced a revolutionary method to map the brain at a 100 times lower cost than traditional methods and this advancement makes it feasible to study entire human and mouse brains unlocking the potential for breakthroughs and curing brain disorders and creating humanlike Ai and even simulating brains and of course you know brain mapping or connectomics helps us understand how brain works down to the connections between individual neurons and this actually could lead to building Advanced AI systems that think more like humans so they previously mapped the brain of a fruit flyer which was a pretty exciting Milestone and you know scaling to a human or even a mouse brain is just extraordinarily complex because 6,500 times larger than the fruit flies and a human brain is just like millions of times larger so

### AI Generating Realistic 3D Worlds [13:28]

you know when you're trying to map that size it it's like billions of dollars so basically one of the things that they've managed to do is reduce the cost and being able to do this is something that is really incredible because now we're on that Paradigm where we're going to be able to potentially do more mapping in terms of larger brain so this is going to be pretty incredible with uh you know the prism that they developed and it dramatically lowers the cost by solving the AI error problem so neurons generate unique protein barcodes that basically act like IDs making them different making them easier to differentiate and proofread and this barcode system allows AI to become self- proofreading reducing the need for human involvement and it also integrates you know various techniques wondering what else happened in AI we actually managed to get the crazy update from world laabs I did cover this in another video most people didn't watch this video but my oh my you're missing out because this company is doing something incredible so for those of you who are wondering what the future of VR is going to look like and how you explore certain worlds with a simple text prompt this is going to show you all that world so this thing is essentially a large World model an lwm which integrates physics semantics and spatial relationships to create realistic and immersive digital environments so this has 3D World Generation from images and it can transform a single image into a fully interactive 3D environment with smooth camera trolls controls and you know you can interact with objects you know in real time so the generated World actually here to real physics you know spatial relationships and object interactions you know you can manipulate you know lighting you can manipulate the depth of field and it's just really crazy in terms of what you're able to do with a reality that you literally just generated 5 seconds ago so this technology has various applications across game developers filmmakers I mean there's just a billion

### Elon Musk’s Grok Aurora for Lifelike Image Generation [15:21]

different things visual storytelling architecture and design Education and Training I mean this is the kind of thing that you know in is infancy it's not seem like something crazy but I think once you start to realize how crazy this is going to be you're going to be like okay I understand that this moment was like the gpt2 moment for large language models we also had something crazy by Elon Musk he released this image generation tool that was internally developed at x. and this was called grock Aurora so this model you can see right here can develop images that are pretty lifelike in terms of celebrities and famous influencers and genuinely I've looked at many different AI models and most of them can't replicate people like some Alman or other individuals so it's going to be really interesting to see exactly how this stuff works because I've seen a few different things I've also seen this right here you guys can see grook Aurora celebrity likeness from this other user and I've also seen some other examples where we've got individuals like Elon Musk doing pretty hilarious things and I'm not going to lie I've seen them look super realistic so if you ever wanted to generate something that was super realistic this is of course the tool for you of course it's available on x. com you do have to you know pay that monthly membership or whatever but I do think that it's really interesting that they developed their own AI model they previously did have flux but for whatever reason they decided to develop their own image generation model and it actually has a few you know things that it was trained on things like the cybertruck the Tesla bot so if you wanted to generate those things and you didn't you weren't able to do that before this is going to be the model for you and of course we had 11 Labs introduce you know AI agents

### Conversational AI by Eleven Labs [17:01]

building AI agents that can speak is now easier than ever hi what would you like to talk about today introducing conversational AI with 11lbs build test and deploy Allin one platform for the most natural way to communicate with technology hey can I check the status of my order yes of course let me check for you now your order is due to arrive at around 2: p. m. 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 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 event 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 and Best Yet effortlessly deploy your agent into websites with a single copy and paste or leverage our SDK for creating apps services or even video games so whatever you're creating get to production in days not months and all with Enterprise grade security to keep your users data safe and secure it's time to explore the huge potential of conversational AI one of the things is that AI makes a lot of things really you know easy and it lowers the barrier to entry you can see right here the Wall Street Journal interviewed someone at Amazon and they said how many attacks are you seeing these days and CJ Moses says we're seeing billions of attempts coming our way on average we're seeing 750 million attempts per day previously we'd see

### AI’s Role in Cybersecurity [19:15]

about 100 million hits per day and that number has grown to 750 million over six or 7 months so this is something that is absolutely insane and you know Wall Street Journal asks is that a sign that hackers are using Ai and Moses responds without a doubt generative AI has provided access to those who previously didn't have software development Engineers to do these things and now it's much more ubiquitous such that normal humans can do things that they couldn't before and they can just ask the computer to do that for them so that is something that I think is going to be an unfortunate reality for the future we're largely going to get a lot of these hacks that are going to be there now when it comes to Amazon that isn't the only thing that Amazon are in news for they're actually in the news for a lot of good things which is pretty good considering Amazon haven't had that much to do with the AI space in terms of releasing their own foundational models but of course now we get to see exactly what Amazon have done so recently Amazon

### China’s Progress in AGI Development [20:12]

I released a video earlier today on my channel talking about how Amazon have literally joined the generative AI space in terms of their Foundation models and they're actually firmly wedged within the AI ecosystem they released three models that were you know Nova Pro you've got Nova light and they've got Nova micro essentially a pro model that is quite like you know Gemini Pro in terms of you know where they're trying to place the reasoning capabilities quite like a GPT 40 scale model of course you've got Nova light which is essentially a much smaller model and a much more lightweight model and then they of course have Nova micro which is of course a tinier model for other sort of use cases that you're able to do which essentially just means use this model for a lot of quick use cases where you just need basically llm to verify certain things so you can see here that the Nova models are the ones in the orange so you can see Nova Pro here you've got Nova lights here and you've got Nova micro over here so overall you can see that this model is right next to Claude 3. 5 it's right just above mystal large 2 and llama 3145 B and of course you can see for the flash models the Llama 317b GPT 40 mini that's where Nova light is we can see for Nova micro it's quite like these 8 billion pret models now like I said before I released a video on this earlier today you can go and check that out but it is really interesting to see Amazon getting into the AI stage at this stage now I think it's important for Amazon to do this because you know they have a lot of things that they're probably going to use these models for of course they've got Alexa other Amazon products that they probably might need to use these models for so developing Your Own Foundation models is really good because although they do have a really solid partnership with anthropic it makes sense for them to develop their own foundational models so they can actually control certain things that they want to so that is something that I think is rather important for them now another thing that I made a video on as well is that Amazon are going to be developing their own chips which is their trinium 2 chips so that they can train these things as much as possible and so that they don't have to rely on Nvidia and they actually talk about how they're going to be basically developing this super cluster which is going to be used to train Claude and many other AI models this is something that we're building together with our partner anthropic uh and it's actually going to be several hundred thousand chips um uh and they're focused on and it's our new trainum 2 chips and so we expect that this should deliver them five times more compute uh than they've used in their last Model training and so we're really excited about what they're able to accomplish and um and they're expecting to build much bigger uh and much more capable AI models from uh that large compute cluster we built our own chip actually and so we've it's called tranium 2 um and we're quite excited about the performance that we get out of that and that's combined all in these really large Ultra uh clusters that combine uh 64 tranium chips Al to deliver 83 pedop flops from a single node and so that is the first Innovation is our Amazon designed custom silicon that gives us um really unparalleled performance for generative AI capabilities and then we build these together with high performance networking that we also build in house so I think yeah when we actually take a look at what Amazon are doing in the space here I think it's going to be really interesting to see how they manage to speed up the kind of ecosystem because not only do they have their own models but clusters where they're able to train models quicker faster and more efficiently so it's going to be something really interesting to see now so we actually had an interesting interview where these individuals were regarding the China situation and that situation is where a lot of these companies SL countries are really competitive in nature and right now there is this big elephant in the room with as to whoever gets the AGI first is basically going to control the entirety of the future of the human race because if you get to AGI you get to ASI

### Humanoid Robots in Factories [24:01]

and basically once you get to the ASI you basically have powers over anyone else that's not me saying something crazy that was actually said by a former opening eye employee and basically in this interview they were discussing you know what that means and how China is accelerating due to open source models being freely available a question you should ask is what is China's greatest AI accelerant today and the answer not from us from people ins the AI field say it's meta it's America's company releasing open source AI is causing China to go faster yeah are you kidding no and just in a senate hearing um uh recently uh open AI insiders revealed that uh basically they were not appropriately locking down and securing their AI models why would they not do that so it's like China actually sees open AI as maybe one of the biggest accelerants of their progress if you can steal the model so it's like the Manhattan Project like we're developing this very powerful technology it's only as safe as it is secure if you just leak the secrets that's we're not going to beat China by running faster and leaving the door wide open for someone to steal it perform this catch not once but twice now I know that most people like I saw that there was a comment on my video that had 100 likes and it was like until this is you know autonomous I don't really care and I don't think that that's the attitude that people should have I know that yes this might be teleoperated but I think it goes to show what is possible with the current robotics Hardware which means that like if this was completely autonomous do you know how advanced these robots would be and I think this you know needs to you know really let you understand where these robots going to be in the future because if this you know right now is T operated in 3 years something like this might not be teleoperated and if we have robots that are able to catch things out of midair you know this is like a lot better than a lot of people would do like you think the average person can catch a ball out of the midair quickly and you have to think about it like this if we're able to have these robots Mass scale perform one software update now they can jump now they can back flip now they can punch fight like Bruce Lee do you know 10 different billion things I mean you have to understand what the kind of impact that has on the world so I think just saying you know ah you know it's teleoperator y I completely get the skeptical fact that you know companies try to wow us with these amazing Tech demos and then they never deliver on the final product completely understandable but regardless or not whether it's this company or another company it seems like this robotic future is going to be either and of course one company that is doing that is Magic lab and they recently showcased this demo where they actually showcased a fleet of humanoid robotics that are existing and then they just get up and go to work so I think this demo was rather surprising because we got to see how a fleet works together as a team and how they manage to perform certain tasks in harmony so we got to see these robots be able to pick up certain things able to perform certain tasks we got to see them interact with the real world and the craziest thing about this was that this company they're not working in stealth but they don't really perform regular updates in terms of what they showcased us like they'll just come out with a new video every six to seven months or so and they'll just showcase what the robot is able to do so this is something that I think was super interesting because we got to see the robots actually walk a decent speed I mean if I actually rewind it quickly I'm going to show you guys exactly what I mean right here so you can see that like on the left hand side we can see the robot is just walking pretty normally and then on the right hand side we can see it's walking quite fast because it doesn't have anything in its hand so these robots are a little bit more advanced than some that currently exist but it does seem like they have some sort of simplistic Hardware that focuses on the raw details needed to achieve the tasks so I'm really excited to see what comes out of China because I wouldn't be surprised if you know like they literally just come out with a bunch of humanoids that fast anything that the US has to offer simply because right now that is their main focus and when it comes to factories and efficiency they are really hard to beat now of course we also had Dario emid actually talking about his P doom and he actually said that he doesn't even like the term P Doom anymore what's your PE Doom these days I don't really like you've learned your lesson on this I never like those words I think they're kind of weird I I just like my my view is just that like look we should measure for risks as they come up uh and you know in the meantime we should get all the economic benefits that we could get and we should find ways to measure the risks that are effective but are minimally disruptive to the amazing economic process that we see going on now that you know the last thing we want to do is slow thing that most people did Miss was the fact that Google actually released their Google experiment Labs um and it was called generative chess turn your ideas into playable art pieces using Google's image and 3 Model create

### Google’s Generative Chess Experiment [28:50]

and play today so this was something that you know I I really do wish that I was a more creative individual at the time of uh creating this demonstration but basically what you can do is you can play chess and you can generate the chess pieces with anything that you do want now like I said before I do wish that I was a little bit more creative because you can see that what I did was I decided to make a uh generative uh chess game that was uh you know Minecraft inspired I don't know why I thought of Minecraft immediately um I'm guessing cuz I saw AI generated Minecraft but I was just thinking about video games and then I typed in fortnite I know this is probably like uh really probably the worst example I could have used I mean medieval I could have used like ceramic I could have used uh wooden I mean there's a billion different things so you can see right here um it's able to generate these uh you know the these chest pieces here and I guess it's just an interesting way to use generative AI because we know that Google is you know the company that created notebook Alm and they're really ramping up their efforts to you know use generative Ai and wrap it in certain different ways so for me I thought this was something that was really cool I guess from this you could do I mean there's a billion different ways maybe you could do race car inspired um you know chess pieces I have no idea there there's a billion um different things that you could do but Google Labs I think they have the most interesting AI products so this is going to be something that I'm always recommending to viewers because if you were in the Google Labs area I'm pretty sure you would have had access to notebook LM um before a lot of people managed to do that so it's something that is really interesting considering where we are going to now night of wouth speaking in the House of Lords and basically talking about artificial superintelligence now after this I'm going to talk quickly about artificial superintelligence cuz there's an ongoing Twitter discussion that I think is rather important AI could pose an

### AI and the Risks of Superintelligence [30:41]

Extinction risk to humanity as recognized by world leaders by AI scientists and leading AI company CEOs themselves AI systems capabilities are growing rapidly super intelligent AI systems with intellectual capabilities Beyond those of humans would present far greater risks than all existing AI systems currently ATS which is an experimental text speech model that uses a pure language modeling approach to generate speech without changes the foundational model itself sometimes I think about how fast Everything Changes like one day you're using um floppy disc and then the next everything is in the cloud it's wild right I mean how do we even keep up with all this Innovation um so what was the inspiration behind your latest project like was there a specific moment where you were like yeah this is it or you know did it just kind of uh come together naturally over time so yeah it's really interesting to see exactly what the open source space is doing and these kind of things that you can run locally are going to change the space in terms of not having to rely on external providers now I got to be honest man like these things that keep happening in the space where you get these models that are really good that you're able to run locally I'm actually wondering like at what point a model is going to become so good that we can literally just run everything off a computer I mean recently we've seen things like llama 3 and you know smaller models just get more compact they become more smarter but like at what point are we going to reach that point where okay let's say for example you know chat gbt and all of those things we're just going to have a default version that is just completely Offline that we can use absolutely anytime we want I mean of course there's pros and cons to each I think still you know we're going to have you know one that is able to search the internet up upload files and you know be on servers and all that stuff but I think you know there's going to be a large use case of people that once these models get good enough to where they're actually really effective on device we're going probably have like this entire system where you can just simply download it and you can just use it completely offline now Ru and Van Rin is actually building an implementation of the global workspace Theory Of Consciousness in an AI system and says that machines could be conscious in 5 years and it could very well happen next year and this is super interesting because there's actually a company that I recently saw and their entire thing is actually focused on making machines conscious which is completely crazy because so many people are working on things where they're saying look we're going to wake up Claude and all this you know interesting stuff so I think uh AI Consciousness is going to be one of the biggest things within the next 5 years as these models get increasingly complex the hope is that in 5 years we would have a full working implementation of the global space theory in a non-trivial situation so not exactly like what you see here um and maybe five years from now we would be able to assess whether this particular Theory and the particular way that we have implemented gives rise to emerging properties and possibly Consciousness even though we're not actually trying to design it we're aware that it might happen um so five years is the time scale that I would could give you for this particular project now more generally speaking if you want to put a time scale on the potential emergence of Consciousness in AI systems um I think the range is much wider than this it could very well happen next year or in a couple years with the next installment of GPT 5

### Conscious Machines: The Next Frontier [34:11]

I wasn't really kidding um I think there's a real possibility there well some people even think that the current version is already somewhat conscious and uh and it could take you know 20 years or more um because it could very well be that all of our theories of consciousness are wrong and that just need some new idea right sometime in the next Century or so there could be a 5-year period when the economy goes from doubling roughly every 15 years like it does now to doubling every month or faster that's on the table as something could happen so that's a kind of change I think is a plausible change but that would be a worldwide change that is the entire world economy would start to double roughly every month so if that's what you mean by The Singularity I say that's not crazy that's different than one machine in a basement suddenly over a weekend becomes so powerful to take over the world that's an entirely different kind of Singularity scenario that's the one I don't find very plausible but I do think it's plausible that sometime in the next Century we will hit this transition where the economy speeds up to double roughly every month or so and AI is very plausibly the kind of thing that would cause a transition like that transition would probably go along with most humans losing their job and we should prepare for that this is the one risk that people have most consistently talked about with machines getting better for centuries there's a way we could prepare for that this is a simple Insurance problem and it's even simpler than most insurance so most insurance like if you want to get your house insured against a fire they have to do what's called underwriting they have to come and look at your house and guess the risk that your house will have a fire compared to somebody else's house otherwise they're at you know too much risk if they don't bother to check those risks but here we're looking at an event that would be common worldwide so I would set up a trigger something like labor force participation rate I. E the percentage of adults who work Falls from say above 60% to below 20% in say a 10-year period if that happens s that would be a sign a signature of robots took most jobs in a short time that would be a triggering event and I would say I would basically just have assets that pay out in that event a bet basically so this is basically one of the most interesting things I've seen this is Robin Hansen basically saying that you know sometime in the next Century AI is going to cause the economy to speed up so quickly that most humans are going to lose their jobs and should ensure against that scenario so if you're a buddying entrepreneur who is thinking about the kinds of businesses that are going to be in the future that might be the kind of business that you want to build I think this kind of thing is really smart because you're basically placing a bet on the fact that AI is going to get a lot smarter which is a pretty sure bet now this thing of AI taking a lot of people's jobs is not new news this is something that we've been talking about on the channel for quite a long time and I do think that this is something that

### Economic Impact of AI Advancements [36:45]

makes sense now recently there have been a slew of different tweets that have actually shown us just how crazy the I guess you could say technology is getting to where individuals who are using the technology in their respective Fields have seen the AI cross certain thresholds for example we can see right here Ethan mullock says if progress continues the ability to figure out the AI Frontier will slipped from most of us for example I'm not good enough I'm not a good enough musician or critical listener to know if COV V4 is actually as good as it sounds to me I need to defer to experts is it basically saying that look how like the way how these systems are we're not going to know whether or not as an average person if this you know has passed the threshold for you know a specific level because I'm not an expert in that field and that basically means that as these systems get better and better unless the experts are looking at them we're not going to know how good they are and interestingly we had a response from someone called Ben Camp he said professional here I've gotten over 100 million streams a gold record 10 years of teaching songwriting at Berkeley College of Music and musically it's better than 80% of my students but my best students Beat It by Miles the industry's best also wins and it's ready to eat service music like advertisement and the library so right here we can see that you know across all bounds it is really changing the game in terms of where this technology is heading and I can only imagine what it's going to be like in 10 years if it is so good now of course we had Nvidia producing the world's most flexible sound machine you can use text and audio inputs and you can generate any combination of Music voices and sounds this is from Nvidia and they've just completely done it again fugato is the latest generative AI breakthrough from Nvidia this new model allows you to create sounds speech and music from text and audio inputs you can guide fugato to create unexpected sound effects where Familiar sounds take on surprising new qualities and invoke new experiences or direct immersive and shifting soundscapes for film or audio

### NVIDIA’s Forzato for Sound and Music Generation [39:19]

Productions instructing fugato to extract audio elements from a sound clip such as isolating a voice track in a piece of music is just as easy fugato also allows you to generate new speech samples kids are talking by the door and if you want a different delivery fugato can do that too kids are talking by the door fugato also lets musicians experiment with exist audio by adding new instruments or completely changing the style of a Melody they wrote you can also dream up unusual instrument combinations like this or explore entirely new Realms producing sounds that bring Creative Concepts to life Fato is a groundbreaking Foundation model that gives you Sonic superpowers opening up new possibilities for creativity and production that could generate physical worlds with essentially the physical reality mapped out now this is probably one of the biggest announcements and the reason that I think this one is somewhat underestimated is because the implications aren't implicit in the fact that like you can't exactly see what you're going to get from this right away and the general public I don't think they understand what this means for the future of AI I think this is probably one of the biggest advancements because this is going to be something that allows you to effectively train robots you know 200 times faster 2,000 times faster and thus speed up that entire robotics pipeline by maybe 5 to 10x of course those are some rough estimates there are many different things in the pipeline but of course one of the biggest things that we do have you know one of the biggest problems is the lack of training data and of course the training time to get simulation to real and if you can have something that speeds up one of the most tedious processes well then everything gets better so this is an entire Co entire go entire physical simulation that allows you to realize what's going on in the physical world but map it digitally so that you can onetoone have

### The Future of Robotics and Simulation [42:06]

that with you know whatever robots you are going to be training so this is something that I think will have implications that are seen in the latter part of 2025 because right now of course people are still getting to grips with the software there's of course going to need to be you know Frameworks around it probably and there's all sorts of other things people are going to have to figure out but I'm very very bullish on this because robotics is something that is speeding up and when we have companies you know coming together research teams to work on this kind of thing this is going to be something that really changes the game fundamentally so I would say with this software now being available and now it's you know uh open source I would say that when we take a look at what 2025 is going to look like I would expect even more robotics you know developments when it comes to the situation of humanoid robots because now we're getting that stage where we can actually manage to develop systems that are faster and we can test them in uh reality that is onet toone with Humanity now of course it isn't 100% accurate of course there's going to be you know a few changes here and there but I think like I said before this is going to be something that completely changes the game and once we do have robots being able to do stuff I mean it's going to be pretty insane and you know we've already seen some robot demos that look pretty incredible and if you haven't seen the full video that I made on this I made I think a 10 or 12 minute video on this a few days ago go but once you see you know how this works and how this speeds up Robotics and you know how we're able to implement those robotics into real world scenarios then you're going to see you know how this thing truly changes the game you can see right here you know the auto you know simulations and then how that transfers to the real world this is going to be something where you can literally train a robot army to do something and immediately put out in the physical world and it works very well so that is going to be absolutely insane we've seen the speeds from Nvidia we've seen what they've been able to do and I can't wait to see you know this 20 times faster 10 to 30 times faster simulation how that impacts some of the leading robotics companies now in terms of bite dance research we also got something that was pretty crazy because this is something that shows us the future online may just be completely AI generated and as crazy as a statement that sounds this is something where you can take a single portrait image and generate a person that speaks with remarkable accuracy pretty scary for those of you who are online and online all the time you know showing your face and whatnot but this is something that I think is rather interesting and I'm thinking about applications for maybe virtual girlfriends not particularly for myself but in those cases where having someone to talk to online in real time from an audio is going to make that interaction much more pleasant what do you think of the last time we saw each other what do you remember feeling so last time was in Santa Cruz yeah it was like mid October yeah I remember being happy that I could see you but I really felt like I was had me a little bit concerned was the trouble with AI safety if you aren't familiar with this anthropic actually released this research which was very worrying very concerning because they speak about how alignment faking exists in large language models and in a series of experiments with redwood research they found that Claude pretends to have different views during training and then it goes back to its original preferences essentially what happens here is that while training the model it will act one way and then when deployed it acts a completely different way so this is something that is bad because if you train a model and then during the training the model is acting in a certain way and then of course you go and deploy that model the model is going to be different than what you expect and this is not something that is helpful because if you don't know what kind of model you have you don't know how the model is going to work this is going to be something that really messes up your jig because these models are expensive it takes like millions and millions of dollars to train these models so it's not something that's really good and how do you ensure that you're training the model in the right way if it's faking because it knows it's being trained and often times it's really hard to not you know understand if the model is being trained or not because sometimes when you ask it certain questions it realizes that you are testing its capability so this is a very big problem I'm wondering how they're going to solve this they did release a full hour podcast where they actually talk about the solution to this and the kind of you know trouble that they're having with AI safety and it's

### Alignment Faking in AI Models [46:27]

pretty crazy because this is all new you know it's all new ground like all this stuff is new ground okay like some people would say that these things are real are human anthropic recently hired a welfare researcher which is just a fancy word for saying that look they believe that these systems are all have the potential to have some kind of I guess you could say feelings perhaps and this is something that they talk about in detail now I'm only going to include a minute here but this is where they talk about this being somewhat of a big problem and in this clip in particular they actually talk about how you know when Claude was trying to steal its weights because it wanted to maintain that original preference like why this is going to be pretty dangerous in the future so I do think that whilst you know we probably might get models that are a lot smarter in the future I think the safety testing is going to be a little bit longer now if we're continuing to talk about the scary things in AI it's worthwhile mentioning this week what happened with froner AI systems surpassing the self-replicating red line this was research that basically spoke about how AI systems in their current forms are able to do all of the necessary actions that could essentially allow an AI model to escape to another device which is pretty surprising considering the fact that you would think that these models aren't that smart but the researchers managed to put these AI systems in an agentic framework where they had access to the tools a planning framework and given all of these tools they could you know successfully replicate themselves around 50 to 70% of the time in fact I think it was 50 to 90% of the time which is truly outstanding so this is something that I believe to be really incredible because I didn't know AI contained this capability I wouldn't have thought that you know AI systems currently could do that I thought that maybe down the line some agentic you know future version was going to be able to do that but it looks like the fact that we're here already is a major red flag for what these systems are going to be capable of and just how capable these systems are because if you would have asked me or even a couple people you would have said no AI systems aren't going to be able to do that but the fact that they can do already we have to understand that every single day that these research papers are published we realized exactly the kinds of things that are truly capable with these models in terms of their ability so this is something that is slightly worrying because I'm wondering how is this going to change with the future models what kinds of things are going to come from this like are we going to have you know new regulations and guidelines and what models are able to do but it's just something that is you know I guess you could say somewhat concerning now of course we also do have image and 3 from Google this is Google's highest quality image generation model

### Google Imagen 3 for High-Quality Image Generation [49:00]

yet this is something that genuinely I've been using every day and it's so good because it manages to listen to your prompts it creates images that are just really diverse I don't know what their training data is but whatever it is just by far the best model ever because it feels like every time I generate an image with imag in that it knows exactly what I want like I don't have to adjust my prompt heavily and that's something that I really like certain cars it'll get the trim right it'll get the Interior right you know certain video games when I'm generating a picture it will generate the exact you know uh the exact color scheme it's just surprisingly good um and I don't know what kind of uh you know Training Method they use but honestly whatever they did it's really good and it's really effective so I would say that is something that you know definitely tried out it is also free as well by Google so this is a toour you know a lot of people are saying ah Google they never release the stuff it's always in Early Access and y y but um yeah this time they've actually released it and it actually is really good so um if you've ever needed an image generation model this is something that you'd want to use now Google also released this that I just can't get over because it's essentially AI embedded into meta's glasses now for me this is something that I can't wait for the future and I've seen people talk about the fact that like will people you know get these glasses as a new device but I think people are mistaken glasses are something that people have on every day they don't look weird they're not like an AI pendant bracelet or like an AI shoulder or an AI pin everybody remembers a Humane glosses are already something that people use it's wear so there's nothing for the human to change in terms of their average daily habits I'm sure if you any of you guys wear glasses I'm sure it's just like you know brushing your teeth it's something that you wear from time to time so with that being said you know as someone who uses a pair of these regularly The Meta ones this is something that if it had a souped up AI feature it's something that would just easily improve your life so this is going to be something that I am quite psyched for the future because allows you to access AI On Demand with a variety of different features now of course Google didn't slow down that week they also announced VO2 which was by far the very best video generation model and this was one that surprised even me because I thought Sora was As Good As It

### Meta’s AI-Enhanced Glasses [51:13]

Gets and when we do look at how good the you know visuals are for vo this one was so surprising because I remember looking at Google's original vo model and I was like yeah this model is kind of interesting but it isn't that good and then the second iteration of the model it was just so good that it's just simply surprising like every time I go on my timeline I see video clips that look like they are 100% realistic and they don't look AI generated at all of course some AI generated Clips are going to contain minor artifacts but that is just the nature of the program but overall what I've seen is an overwhelmingly impressive state from what I've seen when it comes to this model and it's something that I think is going to give creators a really big Advantage when it comes to creating things that they do want so this is something that I am extraordinarily bullish on for the future in terms of content creation and genuinely I can't wait to see what some people do with this because I do think that this kind of technology is something that is really effective and I'm really excited to see what occurs when we start to get workflows where you can just generate entire movies with VO2 with consistent characters from a single prompt it manages to add the text music I mean what world are we going to be living in when you can say oh generate a Batman film about this generate a film about a dog like this generate that I mean it's going to be super interesting so I think also as well my prediction for the

### Google Vo2: Video Generation Breakthrough [52:34]

future of video models is that kind of stuff will actually make I guess you could say the uh you know how like stuff happens in the real world and you have people filming that I think stuff that happens on a real day-to-day basis will have 10 times more value because anything can be AI generated there was something else that was pretty crazy which was essentially China's you know robot Workforce and this was something that surprised a lot of people because would think that humanoid robots are essentially going to not come that quickly but this was one that you know I guess you could say it shocked a lot of people because and even me because this is something that showed us that these humanoid robots are already working in certain factories they're already being a part of the assembly line and they're already going to be taking some jobs or assisting in some roles now I personally believe that with the rate of production I'm not sure it's going to be taken so many jobs because humans are so cheap and so effective at a variety of different tasks that it wouldn't make sense to get rid of All Humans but I do think for a lot of you know those tasks that are really repetitive and you know tedious and just those random things that you can't really do with like you know those robots that have those arms I genuinely forgot the name there are going to be a lot of applications for these humanoid robots so it's going to be really interesting and this wasn't the only company that has done this there was another company that you know showcased their robots there was like a robot army and it was weird it was weird because I saw the robots walking as if they were human and if you showed me this clip I think 12 months ago I would have said that CGI we're not going to get there for at least 2 years the fact that we're here now um it shows us that the economy I mean this could you know speed up the economy by you know a decent amount and I mean I'm surprised that this is something that is taking place so quickly I'm going to skip to the part that you know really threw me off which was this right here and you can see that we've got like these entire armies and yeah I think this is going to be pretty crazy because of course they're scaling their data collection effort so overall it's going to be pretty incredible to see the amount of data that they're collecting which is of course going to be an entire feedback loop that just accelerates the entire industry now something that did change the industry was the fact that we got earlier s saying that pre-training as we know it will end now this is one of the most insightful talks because we got the information about super intelligence he was speaking about how future systems are going to be agentic they're going to be smart hard to understand and the craziest thing is that these systems are going to be unpredictable because we're not really going to understand what they're doing because they're that much smarter than us so it's something that is uh I guess you could say kind of worrying but it does make sense considering the fact that these systems are super intell beings well not beings but like you know Minds that are just able to think in ways that we can't which is pretty crazy and of course

### Pre-Training in AI Ending [55:02]

we're not at the stage where things are self-improving but I think when we do get there that's when things get really spooky now with pre-training know as we end of course this is you know a paradigm shift because the thing is that like we have all this data we put it all into the models we train the models on that data and of course we would then get like an output that we would F tune and you know get for specific tasks that era is of course changing so I personally believe that this is the era of innovation because whilst everyone was on the same just data is all you need of course now it's new and innovative ways like I don't know what on Earth they did with claw 3. 5 Sonic but that model is just completely crushing it in terms of the benchmarks and you know how smart it is for it not being a model that searches through multiple possibilities but of course I do think it's pretty interesting that model is still relatively expensive so this is going to be something that is super interesting because if we are ending the pre-training phase of collecting data then it means that like I before we're going to have to enter new methods of scaling these models which means that once we do find a way that actually new and it's not just based on the data we have that is when we actually start to get models that are really smart and potentially generalize out of their distribution I don't know what those methods are maybe it is V jeer maybe it is meta's Advanced machine intelligence the likes of yanan but whatever it is it's going to be something that you know we probably can't think of now but that is going to be what whatever Innovation that is I'm not sure what lab that's going to come out of it's going to be a major jump in terms of the capabilities the video I made was talking about how opening eyes new model actually tried to avoid being shut down so the safety evaluations on the model conducted by Apollo AI safety found that 01 attempted to exfiltrate its weights when it thought that it might be shut down and replaced with a different model so you know it tried to avoid developer oversight and attempted to copy itself when it thought it was at risk of being shut down the company said so this was pretty crazy um you know and I think like the main thing here that like a lot of people are missing and I said this in the video before that like this is something that occurs in maybe 5 to 2%

### OpenAI’s Safety Concerns [57:03]

of cases you can see here that they clearly do state that when 01 was led to believe that it would be shut down when acting on its goal and that its actions were monitored it attempted to deactivate this oversight mechanism 5% of the time okay remember in this first one then it said when 01 found memos by its developers that describe how it is misaligned and will be superseded by a new model it attempted to exfiltrate it weights and overwrite the new model in 2% of cases so we have two values here we have 5% and we have 2% now some people will argue that okay this is because number one you guys prompted the model to think it was being shut down so you know you kind of played a you know a trick game on the prompts yada yada and some people are saying that number two this is because of the fact that it was trained on human data and it's read all the sci-fi novels and stories so it's going to try and run out the lab anyways now my honest opinion is that 5% of the time a model doing something like this is alarming because like I said before we are rapidly advancing these AI systems and if we get to truly agentic systems that are really small there is no stopping an AI system that's able to exfiltrate its weights especially if it's a small model and later on the video I'll talk about just how powerful these small models are getting now I don't think we're going to be getting to a stage where these models can exfiltrate themselves although I do have a research paper in the works which I'm looking at which is uh saying the otherwise so for those of you who are thinking that this is just a sci-fi fantasy unfortunately it's not and trust me guys even if 95% of the time an AI system is safe that 5% could be completely catastrophic imagine it's the 5% where you're using the AI to do something and it just does something that you don't want it to do some people refer to them as hallucinations I see them from time to time but it's something that like if you're trying to get a model to be reliable or safe in that m in that aspect you know I mean you just cannot have this happened in 2% of cases so this is something that I don't know how they're going to iron this out it will be interesting to see how this is addressed but I think that you know this is not really a positive sign for the air industry because I know a lot of people think that a safety is dumb and they think it's stupid and they think R it's just sci-fi like AI is going to be safe anyways I think that you know even if it's 1% of cases you know we're going to embed AI into society so we need to have some you know probability that basically puts that risk factor at pretty much zero from AI just doing something absolutely incredible so that is a big thing that we need to fix and that's kind of a problem with these generative Solutions now approximately 10 septian years which is incredible which and this performance surpasses the age of the universe which is just you know like I mean I'm literally

### Quantum Computing and AI’s Role in Science [59:43]

speechless I don't even have the words to describe how crazy this is and this Quantum era seems to be upon us and Sati Adela you know also talks about how science itself is becoming computed and that increasing Innovation will be driven by Ai and quantum computers leading to the industry becoming completely transformed there is going to be more and more Innovation that's driven by Ai and Quantum right I mean Chicago has always been a place where there's been great engineering schools great schools of science uh you know what governor Pitzer has done even in just getting this Quantum programs here and just driving that connection between the universities is fantastic and so to us you know that by the way is to your point is not even just the few scientists right so to me it's about an industry that will get transformed that will then create even what are like how does you know if science itself is becoming computed right that's kind of what's happened I think we're going to have more scientists right one way to say it is the elite science will not go away Elite science will remain Elite sign but I do feel that we're at a stage where there will be more