# You Won't Believe OpenAI JUST Said About GPT-5! Microsoft Secret AI, Hallucination Solved, GPT2 ## Метаданные - **Канал:** TheAIGRID - **YouTube:** https://www.youtube.com/watch?v=ONUypmMtXf4 - **Дата:** 08.05.2024 - **Длительность:** 29:57 - **Просмотры:** 37,022 ## Описание Timestamps 00:18 Introduction 02:48 Microsoft AI 07:35 Microsoft Secret AI 10:37 OpenAI GPT-5 17:14 Hallucination Solved 19:08 Gpt2 Solved 24:13 AI Image Breaks internet 24:53 OpenAI Image classification Update 27:18 Delayed OpenAI 28:24 Granite Code 29:12 Wayve AI How To Not Be Replaced By AGI https://youtu.be/AiDR2aMye5M Stay Up To Date With AI Job Market - https://www.youtube.com/@UCSPkiRjFYpz-8DY-aF_1wRg AI Tutorials - https://www.youtube.com/@TheAIGRIDAcademy/ 🐤 Follow Me on Twitter https://twitter.com/TheAiGrid 🌐 Checkout My website - https://theaigrid.com/ Links From Todays Video: https://twitter.com/Mr_AllenT/status/1787224010037538963 https://twitter.com/wayve_ai/status/1787618605468704998 https://twitter.com/_philschmid/status/1787825614570820082 https://twitter.com/itsandrewgao/status/1786105742212358251 https://twitter.com/jxries/status/1787603212075233371 https://twitter.com/natfriedman/status/1785175894828749187 https://www.theinformation.com/briefings/openai-considers-postponing-product-event-this-week?rc=0g0zvw https://twitter.com/apples_jimmy/status/1787712828994179547 https://openai.com/index/approach-to-data-and-ai https://openai.com/index/understanding-the-source-of-what-we-see-and-hear-online https://www.reddit.com/r/singularity/comments/1cm4xra/gpt2chatbot_is_back/ https://venturebeat.com/ai/exclusive-alembic-debuts-hallucination-free-ai-for-enterprise-data-analysis-and-decision-support/ https://twitter.com/legit_rumors/status/1787681580497916060?s=46&t=33M2OuZBmvId207GCEALXQ https://arstechnica.com/information-technology/2024/05/microsoft-launches-ai-chatbot-for-spies/ https://www.reddit.com/r/singularity/comments/1ckxe86/sora_is_capable_of_rending_a_video_changing_just/ Welcome to my channel where i bring you the latest breakthroughs in AI. 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(For Business Enquiries) contact@theaigrid.com #LLM #Largelanguagemodel #chatgpt #AI #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #Robotics #DataScience ## Содержание ### [0:18](https://www.youtube.com/watch?v=ONUypmMtXf4&t=18s) Introduction showcases a different capability what we can see opening eyes Sora doing here is that it's able to completely change some aspects of a certain video so right here what's really incredible is that you can literally just change a single character in a specific scene and honestly as I'm watching this back seeing that this is artificial intelligence like this is a completely AI generated clip is literally still mind-blowing because my brain can't conceptualize it like the small subtle details of this person walking and this person walking right here are just really incredible with how everything just flows seamlessly for example the physics on the jacket it's just really incredible so the thing is you could see that they replaced it with a metal industrial robot you can see they changed this to a 60-year-old man with a white beard then they changed it to a woman and 30-year-old man in a gray suit so I think the reason that this is such a big thing is because now we have a situation where you can literally replace characters and I'm wondering if opening eyes Sora you're going to be able to use your existing footage because it's a bit vague this wasn't something that they posted a blog post about they didn't State like a new release stating that this is a new feature this was all they shown so I'm guessing that what potentially you could have is you could have a situation where you literally just have your original footage and then of course you want to replace it with something else so I'm wondering how that is actually going to impact certain um I guess you could say companies because I know that there are a lot of companies right now who are in the VFX space and they're working on a few things that are like this that are really effective so I'm currently wondering how that is actually going to work because previously I'm not sure how those companies are going to Now function and it's pretty interesting because not only can you do it with people you can actually do it with different objects so previously what we did see with Sora was that if there was a car moving or a stationary like object that's moving that's the main focus you could also have that object be doing that as well so you could replace out like a red Ferrari for like a blue Ferrari uh replace it for like a truck and what's also cool is that what I remember is that you can also replace the background as well so it's a pretty crazy future because the customization of this is going to be pretty insane and I think while Sora is pretty crazy I think the crazy moment is going to be when companies like Runway and companies like pabs finally upgrade their video models to something that's you know on this level I think content creation and the kind of things that you see online that's going to be really interesting at that point now if you ### [2:48](https://www.youtube.com/watch?v=ONUypmMtXf4&t=168s) Microsoft AI haven't known already Microsoft is working on something called mai1 and Microsoft raes a new AI model to compete with Google and open AI it says for the first time since it invested more than $10 billion into openai for exchange for the rights to reuse the startups AI models Microsoft is training a new in-house AI model large enough to compete with state-of-the-art models from Google anthropic and itself so this new model is essentially mai1 it's being overseen by Mustafa sulliman the ex Google leader who most recently served at the startup of inflection before Microsoft hired the majority of the staffs from there and paid 650 million for the rights to its IP in March and essentially they didn't carry over inflection but they have the training data and all of the research efforts from that so they're probably going to be doing something similar to that so ma1 is going to be larger than any of the smaller open- Source models that Microsoft have previously trained if you don't know what I'm referring to I'm essentially just referring to the F series which are really Compact and really effective and with these large language models well these are like small large language models or small language models the thing with them is that you can now have them on device so with that them being on device what's crazy about that is the fact that and essentially with these smaller models the gist of them is pretty much that you can use them on your phone with your own data and you don't need the internet in order to access an unlimited amount of intelligence which means for the future it's going to be really good for a lot of different applications for example the governments can use them you know if you're in certain remote locations where you don't have access to update information or you don't have internet access it can act like a search engine that you can really use and be deployed in areas where the infrastructure just doesn't exist yet so it's really important for these kinds of things because it's going to be really good um it's just you know a really important piece of technology and um the crazy thing about this is that it's going to have 500 billion parameters or settings that can be adjusted to determine what models learn during training and I think 500 billion parameters is pretty crazy cuz it's gbt 3. 5 actually has 175 billion prent so it's going to be around three times L than GPT 3. 5 so I'm thinking that potentially they could reach the capabilities of GPT 4 or it might just be in between them so it's going to be interesting to see how it Rivals other models because this is going to be another model that they've trained um and I'm wondering what the main use purpose is of course going to be and how effective it's going to be because if you don't know llama a training llama 3 which is still improving as they've stated and it's probably going to be on par with GPT 4 and that one is around 400 billion parameters so I'm guessing that this is a model that's probably going to be on par with gbt 4 but probably just a little better by the time it is released and it says this means that Microsoft is now pursuing a dual trajectory in sorts of AI aiming to develop both small language models that are inexpensive to build into Apps that could run on mobile devices alongside larger State up models and it shows that Microsoft's willingness to chart a new parth in AI separate from the technology developed by open AI which currently underlies all of the AI co-pilot chat B in Microsoft products that can automatically spin up emails and analyze documents so they really haven't stated what the purpose of the new model will serve it hasn't been determined yet and it would basically just depend on how it performs because I don't think right now making a trat GPT competitor is the thing to do I think you know Claude and Google are already you know hot on the heels of opening eye but if you've been paying any attention to where the actual I guess you could say focus is going to be next year right now uh these llms are just basic in terms of their capabilities and when I say that in terms of the usability of the models like they're not reliable they hallucinate they don't have any personal information there's no agenting information there's no memory and there's no personalization so those are a lot of the things that are coming from the next level of models so uh it's kind of interesting that Microsoft is doing this I'm guessing that what they're trying to probably do is just trying to own at least something that's probably really good and that Rivals open Ai and still work with them because they don't just want you know open AI to just be that company but it's also pretty weird because you know Sati and Adella said we are above them we are around them we own all of the rights so it's kind of this weird relationship that they do have either way I think it's going to be you know I don't an open source model but I think it'll be interesting to see what it's for maybe it's going to be on some of their computers I have no idea at this moment in time but we do know that it is going to be new and if it's anything that we've seen before it's probably likely probably going to surpass llama 3 in terms of the expectations so I'm guessing it's going to be some kind of product with that um with Microsoft so that will be something that I'm actually really excited for so this Maya one product is going to be um something to look out for on the horizon so then this ### [7:35](https://www.youtube.com/watch?v=ONUypmMtXf4&t=455s) Microsoft Secret AI is where I was actually talking more about Microsoft and I'm talking about how certain models being offline are actually a really important thing so you can see Microsoft launches AI chat bot for spy so it says air gapping GPT for model on a secure network won't prevent it from potentially making things up but it says Microsoft has introduced a GPT 4 based generative AI model designed specifically for us intelligence agencies that operate disconnected from the internet according to a Bloomberg report this allegedly marks the first time that Microsoft has deployed a major llm in a secure setting designed to allow spy agencies to analyze top secret information without connectivity risks and to allow secure conversations with a chat bot similar to chat GPT and Microsoft copilot but it may also mislead officials if not used properly due to the inherent design limitations of AI llm so basically what they have here is they have a new service that you can use and if you don't know why it's so important for intelligence agencies to work offline it's because they deal with a lot of sensitive data which are things that are relating to National Security so it could be certain things for certain cyber security programs that are related to National infrastructure and if those things exist online the problem is once something's online it can be hacked and you might say that yes this is secure because of x y and Zed but it only takes one kind of hack in order for the entire grid to be put at some kind of risk or entire Banking and Financial systems or whatever government projects that they're working on to be put at risk and they literally cannot risk that at all and in order to ensure things are safe they just keep it offline completely that way it's literally impossible for any hackers to be able to get that data so they keep it offline in like a local network so unless you're actually there and you're plugged into the network that's the only way you're going to be able to get that dat and these um you know government agencies are extremely secret so this is something that isn't surprising to me because I knew that there was going to be some kind of use case for these llms but I think like they said one of the key things that you know is uh pretty tricky about this is that gp4 can confabulate which can make up inaccurate summaries draw inaccurate conclusions or provide inaccurate informations to its users so I'm guessing that they're probably going to have to use RG um and I hope that I'm guessing that they're probably most certainly using gbt 4 with some kind of RG on top of it because I think if they just use it would be a little bit risky to do so this is something that shows us that the you know the use cases of large language models are increasing in terms of how broad their use cases are because a lot of people just think that oh it's a cool chatbot but like there are a lot of use cases you know bigger than the ones that you might use them for and I think it's important to realize just how crazy it it really is and how much this is going to affect us in terms of you know just making the world a more efficient ### [10:37](https://www.youtube.com/watch?v=ONUypmMtXf4&t=637s) OpenAI GPT-5 um place now this is where we have one of the key pieces of information for the video so there was a conversation with open AI on what to expect in the next 12 months and one of the things that he said that really kind of shocked me and this is something that I've spoke about quite a lot because Sam Alman has previously echoed how bad GPT 4 is and I think he's not hyping up GPT 5 I just think he completely understands where AI needs to get to and where things are going to be and the fact that you know other openai employees are actually stating that show us that GPT 5 or the successor systems are going to be so much more incredibly better than what we currently have and the fact that they're building this into the next product line means that we're truly at that point where I think the Delta from GPT 3. 5 to GPT 4 will be similar from GPT 4 to GPT 5 so um this is all of the stuff he talks about but I'm going to give you guys a quick rundown on this at least in the next call it 12 months so I think um I think the systems that we use today will be like laughably bad uh they are laughably bad I think we will look back in a year and realize how laughably bad they were um the kind of turn-based like almost kind of Oracle like system that Chachi PT is today is really I think we don't see it as the long-term engagement model for what these systems can do and how they're used they're going to be used um we think that we're going to move toward a world where they're much more capable uh we're they're going to be capable of actually taking on more complex work um they're going to have more of a um assistive relationship with users so um there'll almost be kind of a almost like a great teammate that you have kind of working with you on any given problem um and that's going to be a different way of using software I don't think people really today understand uh what that looks like and can internalize it easily but I think a kid born today um will look back in you 10 years from now if you want to make the 10-e prediction um and it'll be foreign to anyone born today that you can't talk to a computer the way you talk to a friend uh the way that you would talk to a teammate um and or project collaborator um and I think that's a profound shift that we haven't quite brought and so it sounds like a big part of that is moving away from the sort of text interface and towards a verbal interface I don't think it just has to be verbal um the amazing thing about these systems are how multimodal they are like they can reason visually um they can reason about really extraordinary extraordinarily complex problems we talked a little bit on the way here about Could you actually have an AI that hits a level of kind of comedic uh quality that can AI be funny it can be an AI standup comedian I think it can um and so I think we're just scratching the surface on the full kind of set of capabilities that these systems have and that's going to surprise us AI is moving faster than the pace of corporate America it just is moving that the Innovation is faster than companies typically move how can companies investors keep up with this unusually and sometimes uncomfortably fastpac that's the hard part um that's really what I spend my time thinking about is how do I help the world calibrate to the pace of change in the research lab um and for all of you for the businesses and partners that we work with um what is an what is a way to implement the technology that is going to be scalable robust to the Future um uh but also keeps Pace with uh with what's happening and so um we're still learning we think we've got it maybe somewhat figured out uh certainly we learn the more we work with more and more companies but I think that'll be one of the great challenges the next few years well just looking at the Innovations of the past year and you know the Sora text to text image text to video Innovation is just amazing so I cannot even imagine what we're going to be talking about next year at this time Brad thanks so much for joining us here today but yeah that was definitely very insightful I think he arguably revealed more than Sam Altman does and this is Brad l cap and he is the cooo of open Ai and he plays a pivotal role in guiding the organization's strategic vision and operational excellence and yeah I think it was pretty crazy when he said you know these systems are laughably bad which is not just stating that you know they have a few limitations that we've find out he said they are laughably bad which means that you know we're going to look back at this time and just see how bad the systems are so I guess um that's a key point so all of the limitations are going to be gone and I think one of the main things that you need to think about these AI systems is that like they've said we're not going to be interacting with them as how we do now where it's like you know you just have to prompt it you have to feed it all of this information you get responses you edit them and yada y yada but I think it will be more so a situation where it has all of the data on you that you know are from previous conversations it's able to really understand you and you're able to talk to it and just give it like huge amounts of data whether it be images video whatever um and it's going to be able to reason a lot more effectively and of course it's probably going to be a gentic this time next year meaning that it's probably going to be able to be uh doing a lot more things that we haven't really thought about yet so for example you know if we wanted to write an essay for us it's going to be able to open up a Word document actually write the essay save it to a certain file or whatever and email it off and then you know check it on whatever app or whatever website and I think that that's how the next level of AI is going to be and that's why I think he's stating that you know the frontier is most certainly probably going to be changing in that aspect but of course one thing that I'm seeing a lot of people actually talk about is the fact that this is I guess you could say quite you know investor hypy as some people are stating and I don't think it is I just think that this is the logical step for where AI is going to go next and I think what this does show us is that we have to I guess you could say wait until this product is shipped because if it doesn't live up to the height then I guess we will know and if it does live up to the hype then I guess we will also know so I'm really wondering whether or not this is going to live up to the hype because if it does it's going to be a really good thing and I think it will fundamentally change the landscape and I think if you know how open ey operate they operate on first mover advantage and they really do have a giant lead if you remember gbt Falls from 2022 so I'm betting that they're likely to change the landscape again and then we're likely to see the other big players really trying to catch up to them because whilst um you know image surfaces from like Google and even you know Claude they don't even have image generation services and open AI every single day and every single week they're shipping minor increments that make chat GPT just that little bit much more better than these other systems so there ### [17:14](https://www.youtube.com/watch?v=ONUypmMtXf4&t=1034s) Hallucination Solved was actually this update here from almic and it says almic debuts hallucination free AI for Enterprise data analysis and decision support so it says artificial intelligence startup almic today announced it developed a new AI system that claims it completely eliminates the generation of false information that plagues other AI Technologies a problem known as hallucinations in an exclusive interview with Venture beat almic co-founder and CEO Thomas PG revealed that the company is introducing a new AI today and a keynote at the presentation at the Forester B2B Summit and will present again next week at the Gartner CMO Symposium in London this is the reason I'm actually adding this to the video is because I think if the claims are even somewhat true the claims are pretty insane so he says here that the key breakthrough according to Puig is the startup's ability to use AI to identify causal relationships not just correlations across massive Enterprise data sets over times and he says we basically immunized our generative AI from ever hallucinating it is a deterministic output it can talk about cause and effect so they have this entire you know confusing thing sash system here that I'm not going to really get into but I think if this is true then it Tru does change everything and this is a video demonstrating almic technology showing how the AI can analyze the complex data set and make you know strategic recommendations so it's literally you know looking at the data and trying to pick certain things but you know stating that you got rid of hallucinations is a giant claim so if they are stating that I will have to say that they are really going to have to show that or else I don't think people are going to believe them because the way how their company is positioned doesn't seem like it's possible for that to be true just yet but I mean you know if there's anything I've seen um it is possible for that to be true so the ### [19:08](https://www.youtube.com/watch?v=ONUypmMtXf4&t=1148s) Gpt2 Solved infamous gpt2 chatbot is back and a quick refresher if you don't know what the dpt2 chatbot is it's a strange model that openi have I wouldn't say released but they've released it in the chatbot Arena and the chatbot arena is essentially just a place where people test out models to see how they compare against other models and right here you can see them side by side but it's so vague and so confusing that it's honestly quite frustrating because they released something called I'm also a good gpt2 chatbot and they've released I'm this is referring back to a tweet that some helpman you know cryptically posted earlier where he tweeted you know I'm a good gpt2 chatbot and they updated the arena with two very similar models now the reason that this is quite frustrating is because there's so much confusion with as to what these models even are a lot of people including myself are kind of struggling to know what they are there are speculations stating that they're probably fine-tune versions of the original gpt2 maybe it's an entirely new smaller architecture that has been fine-tuned on certain data sets that means now it's on the level of GPT 4 my best bet is that open ey are honestly experimenting with something really small I'm guessing that they just testing how effective it is and I think maybe that this is something like a 50b or 70b kind of model simply because I just think that it's not a huge model like GPT 4 I think they found out how to make GPT 4 a lot more smaller and a lot more efficient because the nuances between gpt2 and GPT 4 aren't Stark in differences however there are some nice differences where you can see that the model is a little bit better in terms of its outputs for example we can see that this person Dimitri was doing some kind of experiments with gpt2 and we can see here this is GPT 4 turbo versus gpt2 chatbot and he asked the chatbot to draw itself you can see that gpt2 the gpt2 chatbot actually did a much better job you can see it actually looks like a little robot with hands and legs and eyes and an actual expression we can see a GPT for turbo versus gpt2 draw a burger with the American flag on top we can see that you know this one on the right hand side does actually look a little bit better in terms of the way how the placement is and everything then we can see here that we've asked it to draw the Statue of Liberty I would argue that this looks it looks pretty cool but I mean this one you can see that it is a little bit better and then of course he was he asked it to do the Eiffel Tower the one on the right you can see it is a lot better then of course you can see the Pentagon and I mean that's honestly my suspicion right now because there is a lot of I guess you could say speculation on what these models are I don't think it's a big model because I don't think open ey are working on those big models I think they're focused on gbt 5 and I think they understand that you know gb5 and gbt 6 so where you know some of the major gains are going to come from so I don't think they're testing gbt 5 here as many people have experimented with however there was a tweet that states that Sam mman confirms that the gpt2 chatbot is not GPT 4. 5 which many people see as the likely next update to GPT 4 so I think that is probably true whether or not that article is false or not I'm not entirely sure because you can't verify anything nowadays but my best bet is that this is a 70b model that is just as good as GPT 4 because we've seen that if llama 3 the 400 billion parameter model is going to be as good as GPT 4 and if we can think that maybe open ey are let's say a year and a half ahead of anyone I think that we can presume that 70 billion parameter model could probably be as good with G as GPT 4 with certain fine tuning um you know I I guess that's just my honest opinion so maybe I'm going to be wrong but maybe it's qar maybe there's a whole new algorithm but if it was GPT 4. 5 they would literally just state it because if it was a new GPT 4 model they would just state that so I think it's honestly just a really small model that they've you know fine tuned to become really effective um and I'm guessing that's just what it is I honestly have no idea and you can see that other people here think that it's a other Secret model it's something else it's you know a gini Ultra pre pre-flight some people are saying it's you know uh something else I mean and we can see someone here also shares my thing a much smaller model but GPT for Quality that open air has developed for device inference which Apple will use to power the new Siri and I think it really just is a smaller model that they're going to use for on device tasks because if we look at what opening eyes is doing one of the things that the secret things that they've actually spoken about is that they are in funding talks with emson and fve and basically they're making a new AI device so it actually makes sense for them to be making a smaller AI model that runs on device because if it runs on device and if they can have inference at really high speeds then it's going to be like anything that we've never seen before so I'm pretty sure that this is what they're working on I mean anything else just doesn't make sense gbg 5 is going to be just so much better gbt 4. 5 probably isn't coming um gpt2 being fine-tuned doesn't really make sense it just makes sense for it to be a smaller model I could be completely wrong but that's my best guess at this point ### [24:13](https://www.youtube.com/watch?v=ONUypmMtXf4&t=1453s) AI Image Breaks internet another thing if you don't know if you don't really pay attention to social media and what's going on in pop culture you would have known that it was the metgala but apparently this picture that got 16. 3 million views and 300,000 likes and 68,000 retweets was actually AI generated so there was this image going viral of KT Perry at the Met Gala and it's a pretty cool image dress but the crazy thing is that this image is not even real it doesn't exist and it goes to show just how crazy artificial intelligence can be when generative AI is used to create images and exactly what we're seeing here is part of the problem on why people are stating that you know we're going to need a new way to verify images on the internet and I guess this is ### [24:53](https://www.youtube.com/watch?v=ONUypmMtXf4&t=1493s) OpenAI Image classification Update pretty good so you can see here understanding the source of what we hear and see online it says we're introducing new tools to help researchers study content authenticity and AD draing the Coalition for the content Providence and authenticity steering committee so it say people around the world are embracing generative AI to create and edit images videos and audio in ways that turbocharge creativity productivity and learning as generated audiovisual content becomes more common we believe it will be increasingly important basically to understand what's going on so basically they began adding metadata to all images edited and created by darly 3 and they're going to be adding this metadata for Sora so this is going to be launched broadly and basically what they're going to use this so that you can essentially have a way to understand if an image is generated by AI or not and I think this is probably going to become industry standard so for example right now you've got all these open source tools where you can create this image you can create that image but I think in the future in order to operate in certain regions you're likely going to have to use some form of verification that can be governed by some kind of body so that people can easily identify whether or not an image has been AI generated whilst yes this is hard I think it's going to be pretty important for the future of trust and transparency across social media because if we don't have something like this then unfortunately it kind of ruins the internet because people are going to enter an era where anything they see they simply won't believe and it makes the internet a very unusable place because if the internet is something where everything you think is AI generated and you can't trust anyone anything it's going to be a real big problem for the future and the internet is a great place it's a place to share information discover and find out what things are going on right now so I think that this is something that is really important for them to of course focus on now there was actually supposed to be a new product from openai coming out but openai is actually considering postponing the event at the company's headquarters where they were expected to share updates and show a product demonst demonstrations a person said so they were planning to present information on Thursday about new products according to a person with direct knowledge it's unclear exactly what the event was supposed to be about but they reported that openai is working on the search product which I've actually talked about in another video but they apparently have delayed it to Monday so this is something that the information have spoken about and Jimmy apples has says ### [27:18](https://www.youtube.com/watch?v=ONUypmMtXf4&t=1638s) Delayed OpenAI this will be Beyond a joke if they do postpone this stop these little games and just show your cards Let It Be know that the releases and event was a real thing they are cats if this doesn't go ahead so Jimmy apples like many of you do know is a notorious AI leaker and I think with Google iio around the corner some people are stating that open aai might just wait for Google Io to release their next product because what they might want to do is just wait for Google Io they release their AI product and then open AI stun the world with their AI product and then Google's Limelight is once again surpassed and you know Google once again lose the lead because it is a competition they are in competition with each other and this is something that openi does know and something that they are you know working on for like they're literally all competing for the same kind of customers so if this does happen I completely wouldn't be surprised and this is just something to keep in mind because the Google iio is on the 14th and this was supposed to be scheduled for this week so maybe they're just literally just going to leave it till after um and it'll be interesting to see if that actually does ### [28:24](https://www.youtube.com/watch?v=ONUypmMtXf4&t=1704s) Granite Code occur also there was Granite code released IBM just released a family of new open code llms from 3 billion parameters to 34 billion parameters trained on 116 programming languages released under Apache 2. 0 which means it's pretty much open source you can use it for whatever and you can see here from the benchmarks that it does surpass every other large language model on coding capabilities such as generating code explaining code fixing code and the average is just a lot better so this is just a 7 billion parameter model sl8 billion parameter model and it's pretty incredible on how effective this model is at completing code so um I'm wondering how crazy this is going to be because something that a lot of people do want to use especially on sites like AMA and stuff like that so it's going to be really ### [29:12](https://www.youtube.com/watch?v=ONUypmMtXf4&t=1752s) Wayve AI interesting to test then of course the autonomous vehicles are coming so I do think that in the next 10 to 15 years driving might be a thing of the past I think we're probably going to be moving towards those smart cities where all the cars are connected there's this autonomous grid of completely autonomous cars and this company you can see wave AI they're thrilled to announce they've raised a billion dollars in their fundraising round LED by SoftBank group with contributions from Nvidia and Microsoft and essentially they're going to have embodied AI products for the automotive industry and it's going to be interesting it's going to be a really interesting future because you know everything's changing due to generative AI well not generative AI in this case this is a completely different version of AI but um I think it's important to pay attention to this because you know wh has had some success okay and wave AI in Europe and in the UK I think it's going to have --- *Источник: https://ekstraktznaniy.ru/video/14338*