AI News: Sam Altman Reveals 2025 AI Roadmap

Summary

Highlights

• OpenAI's new 03 model achieves remarkable accuracy on logic puzzles and complex math problems, outperforming many previous models. 🤯
• The cost of operating the new model remains high, highlighting economic challenges for widespread consumer access. 💰
• Sam Altman's engagement on future AI projects reveals OpenAI's ongoing innovations and plans for 2025. 🚀
• Arizona's new online charter school, largely AI-driven, showcases an educational evolution. 🏫
• XAI's standalone app signifies new developments in making AI chatbot technologies more accessible. 📲

Key Takeaways

• OpenAI's new model, "03," excels in complex tasks but is costly to run. 💸
• Sam Altman engages with the community on future OpenAI developments. 🗣️
• Arizona introduces an AI-taught charter school, marking a shift in education. 📚
• XAI tests a standalone app for its Grok chatbot, expanding its digital footprint. 📱
• Innovative AI tools like DeepSeek V3 and Vigle AI's fun features continue to emerge. 🤖

Overview

Chapters

• 00:00 - 01:00: Introduction and OpenAI's New Model Announcement It's Christmas week, usually a slow time for AI news. However, the speaker records videos on Thursdays to publish on Fridays, often missing Friday's news. Last Friday was significant because it was the last day of OpenAI's 12 days of announcements, where they revealed their latest model, named 03. Although most people, including the speaker, do not yet have access, the model was demonstrated.
• 01:00 - 03:00: OpenAI Model 03 Performance and Benchmarks The chapter discusses the performance and benchmarks of the OpenAI Model 03. It highlights that the model achieved a 71.7% accuracy in software engineering tasks, surpassing its predecessor, Model 01, which was less than 50% accurate. Additionally, Model 03 outperformed 01 in competition code tasks. Due to its advanced capabilities in logic and reasoning, as well as competition math, comparisons with other companies' models were deemed unnecessary, as those models lagged significantly behind.
• 03:00 - 05:00: Challenges and Costs of Running OpenAI Model 03 The chapter titled 'Challenges and Costs of Running OpenAI Model 03' discusses the impressive accuracy improvements of the OpenAI Model 03 compared to its predecessors. The transcript highlights the model's performance across various disciplines: it achieves 96.7% accuracy in a certain domain versus 83.3% from previous models, scores 87.7% in PhD level science compared to the earlier 78%, and dramatically improves research math accuracy to 25.2% from a mere 2% seen in state-of-the-art models before. The chapter notes that research math comprises extremely complex problems, underlining the model's significant advancements.
• 05:00 - 07:00: Future Plans for OpenAI and AGI Speculations In this chapter, the focus is on the achievements and future plans for OpenAI, particularly its capability in solving complex mathematical problems. The chapter discusses OpenAI 03's proficiency, noting that it solves some of the world's most challenging math issues with a success rate of 25.2%. The chapter distinguishes between OpenAI's performance in 'single-shot' scenarios (solving problems correctly with one attempt) and 'multi-shot' scenarios (requiring multiple attempts for prompting to achieve the correct answer).
• 07:00 - 09:00: OpenAI's Collaboration with Microsoft on AGI The chapter discusses OpenAI's partnership with Microsoft in the development of Artificial General Intelligence (AGI). It illustrates the process of training AI models through repeated prompt corrections until they achieve the desired outcome. The chapter specifically mentions the ARC AGI Benchmark, which is used to test AI's ability to solve visual puzzles. An example provided includes blue blocks arranged in a pattern, where the AI is expected to correctly place an additional block to complete the pattern on the right side. This example underscores the AI's pattern recognition capabilities.
• 09:00 - 10:00: GitHub Co-Pilot and OpenAI 01 Access The chapter discusses the capabilities of AI systems in solving spatial reasoning tasks traditionally challenging for AI. It highlights OpenAI's advancements, particularly with open AI 03, which demonstrates improved performance in these tasks. Examples include arranging blocks and creating patterns based on specific rules.
• 10:00 - 13:00: Sam Altman's 2025 Roadmap and User Suggestions The chapter discusses Sam Altman's roadmap for the year 2025 and incorporates user suggestions. It uses an illustrative explanation involving colored squares and a yellow box to convey the concept. The AI's task involves completing a pattern based on previous examples, which is part of the AGI benchmark test. The chapter also highlights past performance scores of the 01 models, where the Mini model scored 8% and the High model was the top performer among the 01 models.
• 13:00 - 15:00: Additional AI Announcements and XAI's Future Plans In this chapter, the discussion focuses on the performance of the new 03 series AI models. Specifically, the lower compute per task model scores 75.7%, and the higher compute model impressively scores 87.5% on a particular test, providing context that a typical human scores around 76%. This shows that the high compute model outperforms most humans, while the low compute model performs comparably to a human.
• 15:00 - 17:00: Google's AI Search Mode and LTX Studio Update The chapter discusses details from a video related to Google's AI Search Mode and LTX Studio updates that were also highlighted on the Ark AGI website. The transcript mentions a specific chart presented in both sources, noting slight differences in data representation, like rounding of percentages. The chart, which initially demonstrates 'compute per task', when viewed on Ark AGI's site, showcases 'cost per task' along with mentioning that these values are plotted on a logarithmic scale. This scale helps in interpreting the cost variations efficiently from $1 to $10 across respective increments on the chart.
• 19:00 - 21:00: AI and Education: Arizona's Online AI School The chapter discusses the computational costs involved in achieving a certain performance level on the ARK AGI Benchmark. Specifically, it highlights the non-linear relationship between the amount of computational resources and the resulting performance, estimating costs of approximately $25 to $30 per task. The chapter uses a graph analogy to illustrate these points, suggesting a significant increase in resource requirements as performance improves.
• 21:00 - 23:00: New AI Hardware and Technology Developments The chapter discusses the high computational costs associated with achieving certain benchmarks in AI technology. It highlights a specific model that requires between $5,000 to $6,000 per task to achieve an 88% success rate, as presented on a logarithmic scale. The cost to achieve a certain level of performance, nearly $10,000, emphasizes the expensive nature of surpassing benchmarks in the AI field.
• 23:00 - 24:00: Robotics News and Conclusion The chapter discusses the accessibility of advanced powerful tools to the average consumer, noting that despite their availability, the cost to operate them remains high.

AI News: Sam Altman Reveals 2025 AI Roadmap Transcription

• 00:00 - 00:30 well it's Christmas week which means there's not typically a lot of AI news this week however I record these videos on Thursdays so that I can publish them on Fridays meaning I usually miss the Friday news from the previous week and well last Friday was quite a big day in the world of AI on the final day of open ai's 12 days of announcements they announced their latest model called 03 now most people don't have access to this model yet I don't have access to this model yet but they did show it off
• 00:30 - 01:00 and show what it was capable of and show some of the benchmarks they showed that in software engineering it was 71.7% accurate compared to 01 which was less than 50% accurate in competition code it also outscored 01 preview and 01 they don't even put the other models from other companies on their comparisons anymore because quite honestly these models are still so far ahead of those other models when it comes to logic and reasoning when it comes to competition math it got a
• 01:00 - 01:30 96.7% accuracy compared to the 0's 83.3 in PhD level science it scored in 87.7% accuracy versus 01 78% in research math it got a 25.2% versus the previous state-of-the-art models only getting a 2% now this research math is like insanely complicated math problems like these are problems that take multiple
• 01:30 - 02:00 mathematicians working together for you know days or weeks to solve them it is like some of the world's most difficult math problems this open AI 03 is able to solve them at a 25.2% rate now we do see a dark blue line and a light blue line here the dark blue line means it was able to do these in a single shot meaning sort of one prompt and it got the answer right the light blue from my understanding is the multi-shot meaning that it prompted it
• 02:00 - 02:30 wasn't right prompted it again wasn't right prompted it wasn't right and it kept on working at it until it got it right that's my understanding and then you have what they call the arc AGI Benchmark and it shows the model these sort of visual puzzles this one on the left is an example youve the three light blue blocks here and then on the right the AI would be expected to put a dark blue Block in these areas to complete the pattern so this was an example that it would give the AI and then it would tell it to fill out this one obviously
• 02:30 - 03:00 us as humans we can figure it out pretty easily we would just put these light blue blocks in the same spot on the right grid with dark blue blocks to complete the square notoriously AI systems have been really really bad at this kind of test and open AI 03 is one of the first ones that has actually been able to do this test pretty well here's some more examples we see like a yellow box here with two red dots in it and then the output shows that we have a border around the box that is the width of the amount of dots in it so it is a
• 03:00 - 03:30 two square width around the Box same with this one we have three blue squares inside the yellow box so we'd get a three Square thick border around the result and we can see a handful of examples here and then the AI would be asked to complete this final one based on the examples that it saw prior to it on this benchmark test the ark AGI benchmark test the previous 01 models all scored you know pretty low on it the 01 Mini model got an 8% the 01 High model the best of the 01 models got a
• 03:30 - 04:00 32% on it well this new 03 series got a 75.7% on the lower compute per task model and an 87.5% on the higher compute model now for context I read that a human would typically get around a 76% on this test so this High model outperforms most humans on this test and the low compute model actually performs about what a human would perform on this test now one
• 04:00 - 04:30 thing that they sort of hid in this video but you can actually see it over on the ark AGI website is that if we look at this same chart here it's pretty much the same information they rounded a little bit so this is 76% this is 88% instead of 75.7 and 87.5 but it's pretty much the same chart but we can see down here that instead of compute per task it shows cost per task and one interesting thing about this chart is that it is a logarithmic scale so this axis right here here is $1 this one is 10 this one
• 04:30 - 05:00 is 100 this one is 1,000 and if we're continuing along that same line then if there was another axis right here it would be $10,000 so the amount of compute it took to actually get a 76% on the ark AGI Benchmark was somewhere around maybe $30 per task to get there right remember this isn't a linear scale so this is probably some where around $25 $30 here
• 05:00 - 05:30 on this graph now if we look at the high compute model remember that this line that would be right here on the side would be roughly $10,000 to get this so to get this 88% it is on this logarithmic scale between 1,000 and 10,000 meaning that this was probably in the range of $5,000 to $6,000 per task to get this outcome all that being said it is really really really expensive to get 03 to pass these benchmarks right now these aren't at
• 05:30 - 06:00 levels where the normal consumer would just get access to these tools and get to prompt to the heart's desire to actually get these kinds of outcomes they are still insanely expensive to run I've also seen a lot of videos on YouTube and a lot of people on X claiming that this 03 is Agi and we have reached AGI I guess that's really up for interpretation in my mind I don't see this as us reaching AGI I feel like there's still a lot of tasks that humans would do better than in AI but I do
• 06:00 - 06:30 believe that this was a significant Leap Forward getting us closer to AGI but if we actually want like a practical AGI that's usable by the most amount of people they need to figure out how to get these compute costs way down cuz right now it is actually really insane to use this 03 model now they did say that the 03 Mini model they're expecting to release it early 2025 and the larger 03 model will be a little bit later than that but obviously the costs have to come down quite a bit or or open ai's
• 06:30 - 07:00 got to crank up the price and add a even more expensive pricing tier to make it economical for them and since we're talking about open Ai and the economics of it and AGI this article came out on the information this week on December 26th about how open aai and Microsoft have their own internal definition of AGI now if you're not familiar with the deal between Microsoft and open aai when Microsoft invested in open aai as part of the agreement they decided that if AGI is achieved by open AI then the deal
• 07:00 - 07:30 with Microsoft and open AI sort of changes restructures and Microsoft has a lot less control over open Ai and open AI is free to go and do what it wants once it reaches AGI however anybody that's been following AI for a while knows that it is very complicated to decide what actually constitutes AGI different companies have different definitions the goalposts feel like they keep on moving nobody really has like this General consensus on AGI apparently
• 07:30 - 08:00 Microsoft and open AI put a financial number on it we can see here in this article without a new deal Microsoft will not be able to use open AI technology developed after reaching that point AGI that's led to speculation that open aai has threatened to declare it has achieved AGI to get out of its obligations to Microsoft and this is their target here hundred billion and right now this is sort of rumor speculation this is kind of like a leak but it can't be 100% confirmed but apparently the deal between Microsoft and open AI stated that AGI would be
• 08:00 - 08:30 achieved only when openai has developed systems that have the capability to generate the maximum total profits to which its earliest investors including Microsoft are entitled according to documents open AI distributed to investors those profits total about $100 billion the document showed now the document still leaves some things open to interpretation and the Declaration of sufficient AGI is in the reasonable discretion of the board of open AI so they may still have differing views but
• 08:30 - 09:00 apparently they'll consider AGI achieved once AGI is capable of generating a hundred billion and for context those kinds of profits are not happening anytime soon open AI currently loses billions of dollars a year and around September this year it told potential investors it didn't anticipate turning its first annual profit until 2029 so if anybody is expecting open Ai and Microsoft to sort of get divorced anytime soon it doesn't sound like that's going to happen if you are a fan
• 09:00 - 09:30 of open ai's previous generation 01 model which is still their current sort of state-of-the-art model that we have access to but after seeing 03 it now almost feels like an older model now you can use it inside of GitHub co-pilot which as we announced last week now actually has a free tier so if you want to code with 01 you can now use github's co-pilot to do that now it does say in this article that 01 is included in your paid subscription to get Hub co-pilot allowing up to 10 messages every 12 hours so if you are on their new free
• 09:30 - 10:00 plan it's unlikely you can use A1 but if you're on their paid plan which start at $10 a month I believe you now get access to 01 to help you with your coding and in the final bit of open AI news Sam Alman took to X on Christmas Eve to ask what would you like open AI to build slf fix in 2025 and I'm going to kind of pay attention to some of the answers that Sam Alman actually commented on like McKay Wrigley here said the vector store you guys have for assistance API is
• 10:00 - 10:30 really good make that its own retrieval API would instantly become the top retrieval product video input modality would be nice you're already doing agents but excited for these unexpected let's see a hardware play and then Sam ultman gave it some eyes making me think that they're probably thinking about all this stuff in fact another recent article on the information claims that open AI is getting back into Robotics and about to start building their own robots soon plyy The Liberator said lose the guard rails it's cleaner Sam Alman said definitely needs some sort of
• 10:30 - 11:00 grown-up mode so maybe we'll see some ability to remove guardrails on the flip side of that Jace here said family accounts let me create accounts for my kids with guard rails let their curiosity take off but within reasonable limits as determined by the parent maybe we can even get insights about our kids from their usage Sam said that's a good idea so sort of two opposite ends of the spectrum but would love to see both of those built in open AI especially as someone who has kids who are very fascinated by AI as well well Leo says a
• 11:00 - 11:30 strong 40 replacement GP Sora all seamlessly integrated into chat GPT a 50 to 70 buck plan that's like more of a middle ground between their 20 and $200 plan a longer context knowledge cut off aggressive updates please and Sam Alman said hopefully he'll be quite happy with us next year overall obviously making us think we're probably going to see a lot of this stuff next year when I talk to Advanced voice mode I wish it had better memory of my previous conversations both verbal and text even if it were just a
• 11:30 - 12:00 rag system I enjoy conversing and brainstorming during my commute but I find myself having to rehash things in great detail and Sam said I really want to figure this one out I think that would be great as well that's something that when I got to play around with project Astra that does really well it actually remembers previous conversations where advanced voice mode only kind of knows what you put into its memory specifically and what you talked about in your current conversation better turn detection for voice chat it sucks that you can't just silently think for 5 seconds without being interrupted good point that is another thing I think
• 12:00 - 12:30 Astra is really good at if you're just kind of Silent for a few minutes it lets you think it doesn't try to ask you oh are you still there or anything like that honestly a good non-thinking model GPT 40 kind of sucks right now even mini isn't that good I think having both is important Sam said definitely do a deep research feature like Gemini but better he said KK release GPT 40 image generation support hope to Sora please Sam would like to see more adherence to image and text prompts also a more reasonable content restriction policy lots of Sora improvements coming he said a drag and drop UI where multiple
• 12:30 - 13:00 separate chat models can be strung together to generate and refined outputs he said this is an interesting idea I haven't really thought about before maybe we'll see it and I'll end on this one Sam Sheffer says AGI Sam Alman gave him the salute so just a little sneak peek of what we can expect from open Ai and chat GPT in 2025 really cool that Sam did that and actually responded to people usually Sam is more of a post and ghaster he puts a post up on X and then doesn't respond to anybody this time around it looks like he's engaging with
• 13:00 - 13:30 most people and kind of confirming that a lot of the cool things that we want to see coming out of open AI they're probably already working on all right like I mentioned there wasn't a whole lot of huge news this week the 03 from last week was a big deal and Sam getting on and sort of giving us hints to what's coming seemed pretty cool to talk about other than that we have a lot of smaller announcements that I want to cover really quickly like the fact that xai just raised $6 billion in a series C from a16z Black Rock Fidelity management and research company Kingdom Holdings
• 13:30 - 14:00 and you know a bunch of other Venture Capital firms I do feel like X is going to be a much bigger player in 2025 in the AI world I think burying grock inside of x.com was not their best move but it does sound like they're going to break grock out and sort of do some more Standalone products outside of the xplatform next year case in point this Tech crunch article claims that xai is testing a standalone IOS app for its grock chatbot it's it's actually available in the app store right now if
• 14:00 - 14:30 you're in Australia but doesn't appear to be available in other countries yet so I guess if the Aussies like it then the rest of us might get it as well soon there's a new open source leader in the world of large language models in the form of deep seek V3 it can generate at 60 tokens per second and it's fully open source and we can take a peek at some of the benchmarks here between some of the other open source models and some of the closed models we have Claude 3.5 Sonet and GPT 4 here and this new deep seek V3
• 14:30 - 15:00 open- Source model beats out almost all of these other models including the closed models in almost every single Benchmark including English code math and Chinese it's got 671 billion parameters using a mixture of expert model and it appears to be both open source for anybody to sort of download and use and also available via an API that uh you can use if you don't want to use the open source version and one thing that's interesting about this
• 15:00 - 15:30 model and I believe my buddy Bal pointed it out he said China just dropped an open- Source AI model that absolutely mogs using a fraction of the compute us Labs burn through US restricting China's chip access will slow them down China cute watch us Flex with a $5 million training run while you need 150 million so the US is actually restricting chips and gpus from getting to China and China is figuring out how to work within the constraints and still building really
• 15:30 - 16:00 really good models all right moving on to Google real quick apparently Google search is going to have a dedicated AI mode we don't exactly know what this looks like yet but seemingly you'll have the option to kind of search the traditional way or switch to AI mode and get AI assisted search that's sort of what I gathered from this article but we'll learn more as more details come out about it because this is sort of just rumors and leaks right now here's another thing that happened at the end of last week but didn't make last Friday's video because it actually happened on Friday and that's that LTX
• 16:00 - 16:30 studio just made a big update to their LTX video model which is an open-source video generation model now in full disclosure LTX has sponsored past videos and past tweets and things like that they're not sponsoring this video but I do want to shout out the news because it did happen within my time window of making this news video Last Friday so the text to video and image to video workflows now deliver even better results Advanced Training and new data ensure smoother more polished motion they've elim eliminated flickering and jittering effects with a new vae decoder
• 16:30 - 17:00 videos now look cleaner and with no distracting artifacts image to video is now optimized creating more natural and seamless results that make it easier to bring your ideas to life with precision and creativity and they'll be building it into LTX Studio their front-end app pretty soon but again it is open source so if you've got a strong enough computer or you're good at putting this kind of stuff on cloud gpus you can use this right now and generate videos with
• 17:00 - 17:30 it with pretty much no restrictions in other video news vigle AI released kind of a fun novelty app inside of their platform where you can upload an image and turn it into a WAP here's an example Santa WAP Santa yo Sant it in the sleigh ho ho making moves dring gets you know I can here to Pro rapping the kids they nice
• 17:30 - 18:00 never know coming through your Jimmy like a holiday party you can actually use this for free head on over to wiggle. a click on try on web and then after logging in you can see there is a wrap feature over on the left I can drop in a character choose a background here and then for describe my song let's just do a wrap about making YouTube videos about AI news we'll click create and it's actually going to use the yudo platform to generate this song and
• 18:00 - 18:30 here's what we got out of [Music] that try the one scene stories fly like headlines Tech Fame in the cyber world I stake my claim yo I'm the boss in the AI game spitting facts every vids never Lan stories fly like headlines Tech Fame in the cyber world I st my claim the RO I the b in your
• 18:30 - 19:00 [Music] I mean it's not bad but I think a lot of the words in there were just gibberish I have no idea what it was saying but that's what I got out of it again it's free to play with you got nothing to lose over at Vig old. a I'm sure with a couple more rolls or some different images or some different prompts I could get a video a little more impressive but I don't know what language this one was speaking another tool that I came across recently that I thought was pretty fun to play with was this backflip tool we actually around a little bit on my
• 19:00 - 19:30 recent live stream I do them every Mondays at 11:00 a.m. Pacific on this channel this was one of the ones we played with and it's really cool you can make 3D objects that are 3D printable or you could pull them into blender or you could pull them into Unreal Engine these are the types of characters that you can create and if you wanted you can actually export it as an STL file for 3D printing on my recent live stream we exported it and pulled it into mixamo and actually made our character dance if I look at my Generations here you can
• 19:30 - 20:00 see I was trying to create some different like Wolf characters and some different Orcs And we actually took one of these Orcs into mixamo and actually had it uh doing like the twist for us and stuff it was pretty fun and it works by going to part Creator entering a prompt like an eight-legged alien creature and then we have a handful of presets here I'm going to use the character preset and then we can generate images and it's going to start by giving us four starting images and then once we pick one of the starting images like this one right here we can
• 20:00 - 20:30 click on this button to make it 3D and in about a minute we have four different 3D objects to choose from that follow that original model that we created and these are all pretty awesomely creepy and you can see we've got this 3D object now and if I come up here to download I can download it as an STL a 3D printed an obj a glb a ply and you can pretty much do whatever you want with this 3D object that you just generated and it's pretty fast and it's pretty accurate so
• 20:30 - 21:00 that's backf flip. a and I'm still on a free plan everything I just showed you I did for free everything I did on the live stream I did for free all right moving right along here Arizona announced that it's getting an online Charter School taught entirely by AI so the newest online only school was greenlighted by the Arizona State Board for charter schools and it will be taught entirely by AI academic instruction is Whitted down to just two hours the remainder of the student day will include life skills workshops
• 21:00 - 21:30 covering areas such as critical thinking creative problem solving financial literacy public speaking goal setting and Entrepreneurship the online only School Target students from fourth to 8th grade this one should be pretty interesting now there will be a human in the loop so they will actually be able to talk with teachers as well but for the most part they'll be working with AI back and forth to learn what they're trying to learn we got a preview of the new Asus AI PC it almost looks like a Mac Mini but it's designed for AI inference it's got an Intel Arc GPU in
• 21:30 - 22:00 it I have no idea how this will do with games but it should do pretty good for whatever your AI inference needs are and it's going to have like the whole Microsoft co-pilot stuff built into it as well in other Hardware news apparently the Rayband metag glasses are going to get a display sometime in 2025 I got to demo some of the Astro glasses where you wear them they feel like you're wearing the rayb bands that can talk to you and see what's going on around you but they also have a little heads up display that you can see in one
• 22:00 - 22:30 eye while you're moving around it sounds like the meta Ray bands are going to get that as well which is really exciting I would love to see you know subtitles of somebody speaking in a different language have it subtitle them in English or you know show me map directions or things like that right in front of my eye as I'm trying to navigate so I'm excited to see that in the meta Ray bands because I already love my meta Ray bands and I will probably buy a new pair if they had that feature and finally in robotic news China unve veiled Ultra acrobatic
• 22:30 - 23:00 humanoid robot with a 320° waist spin power so here's a look at what that robot looks like and one of the big selling points is that its gate the way it walks feels a lot more human we can see in some of this video what it looks like when it's walking around uh if you ever watch Battlestar Galactica it reminds me of a sylon if I'm being honest which is not a good thing but pretty cool I always love ending on robots and Robotics and this is another company engine AI that we'll
• 23:00 - 23:30 have to pay attention to and see how their robot efforts go and that's what I got for you this week again it was a week where we had Christmas and not a lot of AI announcements but we did have 01 to talk about we did have Sam Altman getting feedback on where chat GPT should go and we had a bunch of smaller announcements from a lot of companies and now you should be pretty looped in on what happened the week of Christmas while you probably weren't paying attention to AI I still was so I hope you enjoyed this video if you like
• 23:30 - 24:00 staying in the loop on AI news check out future tools. I do keep the news page up to date on a daily basis with all the news that I even can't include in the videos cuz there's too much of it and I also share all of the coolest AI tools that I come across right here on the homepage and there's a free newsletter where I will send you just the coolest tools and the most important news directly to your inbox it's totally free when you sign up I'll hook you up with the AI income database a database of cool ways to make side hustle money using various AI tools it's it's all completely free over at futur tools. and
• 24:00 - 24:30 again if you enjoyed this video give it a thumbs up and subscribe to this Channel and I'll make sure more cool Ai and Tech videos show up in your YouTube feed I really really appreciate you tuning in this week and I hope you had a happy holiday a Merry Christmas all of that good stuff really really appreciate you taking the time and spending it with me watching this video really really appreciate you I'll see you in the next one bye-bye