# Bill Gates Reveals The Next Big Thing In AI, Humanoid  Robots Get To work

## Метаданные

- **Канал:** TheAIGRID
- **YouTube:** https://www.youtube.com/watch?v=7qg3LTrARZM
- **Дата:** 08.07.2024
- **Длительность:** 30:25
- **Просмотры:** 22,122

## Описание

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00:00 - Introduction and overview of recent robotics stories
01:20 - Sanctuary AI's Phenix Carbon humanoid robot platform
02:13 - Figure's autonomous AI-driven robots in BMW's factory
07:11 - Clone Robotics and their lifelike humanoid hands
10:56 - Bill Gates on metacognition as the next big frontier in AI
14:09 - The importance of new AI architectures beyond scaling
18:08 - Gemini AI update delayed to June 18th 2024
21:06 - 11 Labs' voice isolator for removing background noise
21:50 - Eureka, the world's first AI doctor that can deliver real-world care
24:10 - The risk of AI systems making humans complacent and less intelligent
26:49 - Announcement of Grok 2 AI in August
27:04 - Meta's 3D-Gen tech for generating 3D assets from text
29:07 - The challenges of developing reliable AI agents that can take long sequences of actions

Links From Todays Video:

https://www.reddit.com/r/artificial/comments/1dtkdr8/stateoftheart_llms_are_4_to_6_orders_of_magnitude/ 
https://www.clonerobotics.com/ 
https://x.com/tsarnick/status/1807183988618105116?s=46 
https://x.com/adcock_brett/status/1807814600169316787 
https://x.com/elevenlabsio/status/1808589239744921663 
https://x.com/EurekaHealthApp/status/1806341267019771968 
https://x.com/tsarnick/status/1807534517697257968 
https://x.com/kimmonismus/status/1807819517843890545 
https://ai.meta.com/research/publications/meta-3d-gen/?utm_source=threads&utm_medium=organic_social&utm_content=carousel&utm_campaign=research 
https://x.com/AIatMeta/status/1808157832497488201 
https://x.com/tsarnick/status/1808252234494574634 
https://x.com/TheHumanoidHub/status/1808493634024845815/video/2 

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## Содержание

### [0:00](https://www.youtube.com/watch?v=7qg3LTrARZM) Introduction and overview of recent robotics stories

so let's take a look at some of the AI stories that you miss cuz there were actually a lot that happened in the past few days and I got to be honest there are actually a lot of robot stories and it seems like the humanoid robot space is heating up quite a bit one of the first interesting stories is that Sanctuary AI receives a new investment from BDC capital and NBC bringing the total investment to date over40 million this is pretty incredible you can see that there is a huge amount of funding going into humanoid robots $140 million to date in a humanoid robotics startup is a hefty amount considering that this isn't a truly large Company by any means compared to some of the others you know they're pretty small but if you haven't been paying attention to Sanctuary AI they've actually got a really nice humanoid robotics platform this is their Phoenix carbon robot it's on the carbon platform and I think that you know since we're going to have a very interesting future with regards to how humanoid robots are deployed and used in the future with regards to the elderly in care and in factories I think it's really intriguing to see more and more investment go into companies like this because one of the things that you might not know is that what you're currently seeing on screen right now is actually fully autonomous and most

### [1:20](https://www.youtube.com/watch?v=7qg3LTrARZM&t=80s) Sanctuary AI's Phenix Carbon humanoid robot platform

people don't know that so you can see the robot is really smooth and fluid and I think it's actually genuinely one of the most fluid robots that I've ever seen like this is something that is truly incredible because I remember the first time I was watching The Sanctuary AI robotics demo they actually showcased stuff that were autonomous and I genuinely believed that it was completely teleoperated because you couldn't tell the difference so this kind of footage shows you that you know once we do have robots that are able to move this quickly and this fluidly by themselves to do a range of different tasks I think the world is going to look radically different in more humanoid robotics news you can see figure and BMW groups Spartenburg plant is actually moving towards real world use cases so

### [2:13](https://www.youtube.com/watch?v=7qg3LTrARZM&t=133s) Figure's autonomous AI-driven robots in BMW's factory

you can see right here that this is a fully autonomous you know uh end to end it's AI driven Vision model and it's got neuron networks for all grass so you can see that this is 100% autonomous um you can see right here also that this is you know Aid driven manipulation so the reason that I think that this is so crazy is because in January 2024 they announced a commercial agreement with BMW manufacturing and this is truly impressive because navigation is purely happening from object training in simulation so you can see right here that for those of you who thought that you know maybe humanoid robots are going to take a longer time to get not acclimatized but to get you know put into real world use cases one of the places that I do know that humanoid robots are going to be is they're going to be in factories first like you won't see them working in stores you know doing your groceries and stuff like that although we do have those checkout robots I guess if you want to call them that but what we will see is we will see humanoid robots actually be used in car factories because the work here you do you know need repetitive stuff and the repetitive stuff that you need to do it's somewhat precise in a really strange way that a robot that you know learns you know based on its neural network whatever policy it chooses to do um it's going to be able to do that a lot more effectively than you know potentially some humans could because of course there are things like you know the danger aspect sometimes you're dealing with extremely sharp materials extremely hazardous materials you know you've got all of these different factors so once these robots do get a lot smarter and you can train them to be a lot more efficient I wouldn't be surprised that if we do see these humanoid robots there being used for you know whatever task that they might be so this of course right now in its current phase is not something that you know small companies can even dream about pleas humanoid robots are extremely expensive and of course they cost a whopping amount of capital and labor to produce considering all of the technical details that go into you know producing a robot like this but I think stuff like this does show us that we are actually in the future I mean if we actually truly take a look at exactly what is going on here you can see that we have a robot that has learned how to place these things on this you know machine or whatever it is and it's able to you know pick and place it and it's able to do BU manual picking which is really cool it's able to grab two with two hands and then it's able to place them um you know so solely just learned from simulation so I think this is going to be really intriguing to see how these things move forward because we know that not only have figure been doing this but also we did see Tesla experiment with their Optimus humanoid robot platform they actually also did it really well as well so I'm wondering if this is going to be the future of factories now as continues to go on um what you guys need to know is because these factories are getting increasingly more robotic the future is not human-made the future is going to be just completely automated and I'm going to show you guys why so there was this tweet that was going viral and it basically talks about how Amazon now has over 750,000 robots deployed and each robot packer at a warehouse can literally replace 24 workers Packers cost 1 million each day which only take 2 years to recoup the cost so this was something that was going very viral this is something that you know I was speaking about in my post AGI economics Community we were actually talking about the economics of Amazon and why it's such an interesting company with regards to the Innovations it's doing and I think here you can see that Amazon is taking a very Innovative approach in order to making sure it is remaining as efficient as possible and all of these robots are operating in this grid form they are all managing to you know locate all the packages ship them out of course you've got humans here in the loop but it is something that is you know robots and humans working together that seems to be a lot more effective than just traditional humans in the factory and of course these robots can work for 24 hours on end so this is likely going to be something that continues to grow as the you know robots get a lot better so it wouldn't be surprising if we see these robots you know more and more you know in factories and I wouldn't be surprised if some of them were just completely you know robot automated now this is a startup that I really wanted to talk about before but I didn't really have the video to where I could even talk about this startup so if you've ever seen Westworld and I say that as someone who hasn't even seen Westworld but I know the concept of the show so I know kind of what they do but essentially this is clone Robotics and this is so incredible because what they're doing is building arguably the most humanlike robotics ever now their

### [7:11](https://www.youtube.com/watch?v=7qg3LTrARZM&t=431s) Clone Robotics and their lifelike humanoid hands

website is under construction they've been essentially just building in stealth for quite some time but this is one that I've been you know really trying to pay attention to because they seem to be taking an approach that nobody else is taking in regards to humanoid robotics now I'm going to show you guys some of their demos cuz this animation whilst yes it is you know truly outstanding um it doesn't show you exactly how well their robots are so what you can see right here and I'm going to go over some of their tweets because they've basically been showcasing demo videos you can see here that they are you know working on creating robots that have truly lifelike movements and lifelike hands so what you're seeing here is their hands now I do think that they are probably working on full of humanoids but I think that what they're showing us here is that they working of course on actual hands first now this first hand that you see here is one that they you know is kind of like a prototype I guess or whatever um and we can see a lot of the wires back here you can see that all of these wires back here and the majority of this stuff is covered with this like you know I guess you could call it not foam but like this Fabric or whatever that they're probably going to be using to like you know grip stuff I guess you know potentially um or maybe that's just the base material of the robot but when I first saw this it was truly impressive because it's the first robot that didn't actually look like a robot now you can see some of their you know newer tweets here you can see about you know the ultimate tool user this is one that I retweeted recently you can see this is their you know humanoid hand um a lot of the different you know applications that they're going after show us that a lot of the ways that they're looking to implement this kind of maybe it's just going to be a hand humanoid you know platform a lot of the ways that they're looking to implement this would allow for a lot of interesting applications because we know that the human hand is very flexible it's got you know huge degrees of freedom and you're able to do just remarkable things with this um you know with this hand like you know the human hand is an incredible feat of engineering and you can see you know some of these other pictures here now they recently released this pronation and subnation you know thing where they talk about how the hand is going to move and this one did seem a bit rigid but there was a tweet from the you know humanoid Hub this is a great Twitter account if you're trying to um you know follow humanoid robotics but he says the movements appear choppy and lacking fluidity what is the core issue how significantly does it impact precision and fine manipulation someone that works there the CEO I'm not exactly sure who this is but he says there is no issue there's an open loop sequence with only four muscle contractions we release the fine manipulation MPC demo soon so this is just you know showing you guys that they're able to do this smoother and they did they showed us in another video here um where you can see that this hand is moving you know incredibly smoothly so I'm not sure what kind of um you know engineering is going on here you know this is definitely a lot more different and it looks a lot more complex than some of the other things that we have seen but I do like what I have here I mean maybe it's just the West World in me or the singularity in me that just really wants to believe that this is possible but it does look like these guys have been doing some very fascinating stuff some you know amazingly impressive you know Feats of engineering and I think you know maybe we're going to get a demo scene I honestly can't wait but they've been installed for quite some time so whatever it is that they've been working on I think if they do ever do some kind of demo it probably is going to surprise us and there's probably going to be definitely like a lot of applications for this kind of Technology if they manag to get it working truly effectively so I'm not sure if I

### [10:56](https://www.youtube.com/watch?v=7qg3LTrARZM&t=656s) Bill Gates on metacognition as the next big frontier in AI

actually managed to keep this clip in before but what I did want to show you all was this where Bill Gates was actually talking about meta cognition and stating that the next big Frontier is metacognition and that's just basically where AIS can think about the reasoning honestly I don't remember if I covered this before but I do think it is a pretty important post um and there is something else that I do want to show you guys as well CU there was a recent interview poost with someone that I wanted to show you guys but this is important but we'll get into where by accessing video data and getting very good synthetic data that we can scale up probably you know two more times that's not the most interesting Dimension is what I call metacognition where understanding how to think about a problem in a broad sense and step back uh and say okay how important is this answer uh how could I check my answer you know what external tools would help me with this the overall cognitive strategy is so Tri Ral today that you know it's just generating through constant computation each token in sequence and it's mind-blowing that works at all uh it does not step back like a human and think okay I'm going to write this paper and here's what I want to cover here's okay I'll put some facts in here's what I want to do for the summary and so you see this limitation when you have a problem like uh various math things like a Sudoku puzzle where just generating that upper left hand and uh thing first causes it to be wrong on anything above a certain complexity so we're get we're going to get the scaling benefit but at the same time the various actions to change the underlying reing algorithm from the trivial that we have today to more humanlike metacognition that's the big Frontier so basically what he's talking about in this is that you know the way that humans think is a lot different to the way that AI think you know when we ask an AI system something we're asking it zero shot so for example when we ask it hey can you write me this essay it will write an entire essay from start to finish and it won't essentially pause reflect you know rethink uh think about its response and it doesn't reason it just generates okay so those are you know different things now essentially what Bill Gates is saying here is that yes you know certain things happen with scale you can improve the model bya just you know increasing parameters data size just scaling up everything and you know you do get you know more Precision with the model but you know what you need to also do is you need to add in an architecture which is you know quite similar to neuros symbolic AI in the sense that you take advantage of the different aspects of what makes you know humans good at you know just general decision making and you know being able to truly understand the world so it's basically thinking about how you know you can invent new architectures and new ways for these systems to think into that they get a lot more effective of what they do because currently the methods of reasoning are extraordinarily limited um and I think that's just something that's you know really important so this is basically um what he's talking about and I think it's I

### [14:09](https://www.youtube.com/watch?v=7qg3LTrARZM&t=849s) The importance of new AI architectures beyond scaling

he's talking about and I think it's important I think I think it really is important because um you know like if we just you know keep thinking oh okay just scale scale we're not really tackling the problem but I did say to this that you know it is very likely that companies like open Ai and Google are actually working on these things because I've seen a ton of you know open research papers um and they seem pretty promising already with uh you know ways to be able to you know increase reasoning capabilities if you didn't check out my recent qar video I covered videos on how AI systems are going to be thinking in more you know I guess you could say smarter ways that allow them to you know think a lot more intelligently as a human would and here you can see um you know state-of-the-art llms are four to six orders of magnitude less efficient than the human brain a dramatically better architecture is needed to get to AGI so says you just need more data and more scale of the data will keep everything getting better but of course we're hitting the limit where we've used all the data on the Internet or in the world or whatever so what you think the odds are that the wall exists versus us just finding a way because we're humans and this is our way to find through and I think that this is where the true like insane gains are going to be made because you know like think about it like this if you remember what ala go was like how good it was when it was trained on humans everyone was like oh yeah that's pretty crazy but when it got really crazy like when it actually went insane was when it you know used an algorithm that was trained on itself and it just used I guess you could say kind of like a new architecture that wasn't you know just fundamentally focused on human data when it was just trained on synthetic data that was when it just got superum so I think now that humans are then going to move towards this area where we're like look we' maxed out the data we've maxed out the scale this is you know the limit um that's when things are going to get really crazy whilst yes there might be like a not pause but some kind of period where there aren't major breakthroughs at least on the external I think they're definitely going to be made on the internal so he says um the reason he's doing that is because stateoftheart llms are about four orders of magnitude less efficient than your brain if you think about the basic input as energy and the basic output as computation your brain is 10,000 times more efficient than a stateof the rlm now Andre karpathy has had the same observation but he thinks that it's six orders of magnitude so one way or another these models are dramatically less efficient than the brain which is of course you know I previously said that you know robots you know just like require so much energy electricity whilst humans can literally eat like a packet of Doritos and be fine for the entire day you know technically speaking of course you still need some actual nutrients but you know what I'm trying to say like humans you know the the output ratio is just insane um so the reason that's important is that nature has shown us that a better architecture exists and I have to imagine long before we get to anything that is universally agreed upon as AGI we're going to end up with a dramatically better architecture that's going to be far more energy efficient and it's not going to come out of just optimizing Transformers and it's probably not just going to come by putting some planning and reasoning on top it's probably going to be some different base architecture and at some point I'm sure somebody will figure out what that is so I do think that this is going to happen now and I do think that this entire scale up is a little bit different because previously there was of course an AI race but I think with open AI now what's kind of happened is you've had that situation where you know this company has you know ignited the fuel and now there's so many different you know people working on this stuff there's so many you know more investors in the space there's a lot more eyes on the space so it's like you know this has just accelerated the development even further because when you have you know an entire ecosystem of everyone sharing work that's fine but when you have people competing against one another and you've got you know Financial incentives it's really going to be a lot more you know intense with as to how many breakthroughs are going to be you know had so this is something that I think is you know remarkable when we actually think about the future of AI so that brings me to this part of the video where you can see that there is actually going to be a Gemini update so apparently the Gemini

### [18:08](https://www.youtube.com/watch?v=7qg3LTrARZM&t=1088s) Gemini AI update delayed to June 18th 2024

update that was scheduled for the 6th of June 2024 has been delayed to June the 18th which means we could be getting some very important updates from the Google team now this brings me to an important point where I'm talking about Gemini because one of the things that Gemini actually did update with was the ability to create images however if you do type this prompt in or any image prompt for example you'll see that you get a response stating that I'm sorry I just can't create images yet however this is where today's sponsor comes in because you actually need to use them you actually need a VPN so the sponsor of today's video is actually nordvpn but I'm going to show you why you actually need to use them if you want to access advanced AI features so what I'm going to do is I'm now actually going to switch my location to America and you're to see something crazy so now that I've taken a quick flight to New York we're going to go ahead and see this prompt again let's see what Gemini says when I say can you create an image of a dog now that I've applied the VPN would you look at that nordvpn allows me to actually access advanced AI features that I literally otherwise wouldn't be able to and this is why today's sponsor of the video nordvpn is offering you guys a really cool exclusive deal to the channel nordvpn actually allows you to instantly switch your location to anywhere on the planet and it's something that is really useful if you want to be able to securely access different locations and of course access AI features that just simply aren't available in your region yet due to whatever restrictions there might be now one of the coolest things about this offer is that every purchase of the 2-year Nord VPN plan will actually receive 4 months bonus on top and on top of that you actually get 20 GB of s data vouchers and S is basically a new e server Sim app that is brought to you by Nord security and it literally just allows you to have internet wherever you are on the planet pretty much so if you travel or stuff like that this is definitely going to be useful for you now don't forget nordvpn do have a 30-day money back guarantee so if you have any issues you can always get a refund and my exclusive link where you get the deal is actually nordvpn. com thee AIG grid but with that being said like I was talking about Google you definitely do need to access some kind of VPN if you want to access these kinds of features and VPN and this is not even like part of the sponsored video but vpns like n VPN have actually been pretty useful because we do know that all of these a companies for whatever reasons and restrictions regulations going on in the EU sometimes they do just roll it out to America First where they will test the product and then roll it out to the EU now this is pretty crazy we got an update from 11 Labs I personally wish they would just focus on making the like emotions in their speech models I don't know when that's coming but I think that they should do that but essentially they introduced voice isolator remove unwanted background noise and extract clear crystal clear dialogue from any audio to make your next podcast or interview sound like it was recorded in the studio

### [21:06](https://www.youtube.com/watch?v=7qg3LTrARZM&t=1266s) 11 Labs' voice isolator for removing background noise

you can actually try this free need to remove background noise from your video use our new voice isolator model for crystal clear audio every time that's pretty crazy that is actually pretty crazy like imagine being able to do this and you can literally just pretty much record anywhere you want I mean that's a game changer for Content creators off for people that don't have an environment that is you know really effective so you can pretty much record anywhere just clean up the audio and then you're good to go I mean this last piece of audio sounds every time super clear I mean it's just incredible what technology is able to do there was also this I was actually meant to get to this earlier but I didn't um it says Eureka introducing the world's first AI doctor

### [21:50](https://www.youtube.com/watch?v=7qg3LTrARZM&t=1310s) Eureka, the world's first AI doctor that can deliver real-world care

Eureka can order labs and give care in the real world it is covered by health insurance just like a healthare provider and it's already working with thyroid patients in the United States it's 90 times faster than most care in the United States and N Out of 10 users want to continue with Eureka's recommendations Eureka thinks like a doctor and reasons like a detective before any care starts a board certified physician reviews Eureka's recommendations to make sure that everything is in order and Eureka currently specializes in an endocrine conditions like thyroid and diabetes so you can see right here this is the video in which they discuss how this system works and how effective it is I'm Cena and I'm excited to introduce you to Eureka is the world's first AI doctor that can order labs and deliver care in the real world let me show you Eureka in action Eureka gives you fast and personalized care for your conditions Eureka has unlimited time attention and patience when Eureka learns that I have hypothyroidism it knows exactly what questions to ask Nick eurek can do this because it thinks like a doctor and reasons like a detective in a few minutes Eureka discovers that I'm taking too little medication and then recommends an adjustment to improve my symptoms yaden orders followup labs for the future to monitor my improvements before any care starts a licensed physici reviews Eureka's recommendations to make sure everything's in order working with Eureka is almost 90 times faster than traditional and Specialist Care in the US and users love Eureka nine out of 10 users want to continue with Eureka jestic care and maybe that's why Eureka also receives three times more excellent care ratings than the average care visit we built Eureka to take symptoms seriously and to give incredible care 24 hours a day 7 days a week Eureka currently specializes in endocrine conditions and if you have diabetes or a thyroid condition you can get Care Now by visiting eure health. com there was also this rather interesting perspective on how AI is going to be in terms of you know dominating the human race in certain aspects now many people think that super intelligence is the you know biggest problem that we need to face uh I don't want to say I disagree but it's not something that I currently think about I think about stuff that are more you know near term and he you know

### [24:10](https://www.youtube.com/watch?v=7qg3LTrARZM&t=1450s) The risk of AI systems making humans complacent and less intelligent

IIA pukin um says that there's no economic incentive for AI to wipe out humans but there is a risk that we become so addicted to the dopamine systems they feed us uh to keep us intain that we end up in ocracy and I agree with this because if you don't know already like even this video that is you know that you're watching right now this video appeared on your feed because of the algorithm the YouTube algorithm is AI you know determined you know AI determines you know what it's going to show you and essentially that means that AI is already deciding a lot of the things that you watch because humans are intrinsically lazy we pick up our phones we don't go on the subscription feed we just look at what's first on our phone and that's what we watch and because of that my video is here hopefully it was um and I think that in the future things like that are going to get a lot more exacerbated as these models become even better uh you know just being more engaging not a human right so unless somebody goes and says let's kill all humans uh it's not going to go and like you know magically do that in the blockchain world you you realize everything is driven by economics one way or another and so there's no economics which drives you to you know kill humans like that's just not like there's even if you know it wants kind of Freedom Etc well then it just flies out in the in the space Etc right so but like the reality is what we're doing right now we're Building Systems to improve ourselves to like you know further what our minds can and yes we'll have you know autonomous agents that will have like specific missions and goals and we'll be doing things but at the end when they are acting in physical world right it's governed by the same kind of laws that we are governed here if somebody you know uses AI to start building biological weapons it's not different from them trying to build biological weapons without Ai and so ideally with AI actually should be better at finding that out and actually preventing this it's people who are starting the wars not in the first place the more realistic scenario is more that we just become so kind of addicted to the you know dopamine from the systems which are just trying to keep us entertained and we are more just you know stop trying to ourselves become you know more intelligent and like more sophisticated using this tools and using this uh kind of systems as a you know bicycle for our mind um and I think that's what you know I would like to prevent is kind of the kind of convergence into like oh actually I just can stare at my phone and you know scroll sort of thing ocracy was yeah that's what it was referring to there was also going to be grock 2 out in August so keep your mind out for that because um you know I would say I got to be honest uh there is a bit of nuance to this because you know Gro is you know I think I have Gro do

### [26:49](https://www.youtube.com/watch?v=7qg3LTrARZM&t=1609s) Announcement of Grok 2 AI in August

I have Gro like weird okay like super weird system the way how you use the system I don't know it's weird okay like grock is just a really weird system if I'm being honest so I would like these guys to have an actual website not just baked into the xplatform so we can actually use their models for whatever it is that they might do but um you know

### [27:04](https://www.youtube.com/watch?v=7qg3LTrARZM&t=1624s) Meta's 3D-Gen tech for generating 3D assets from text

either way apparently grock 2 is going to be out in August so it will be interesting to see what that is because last time grock 1. 5 Vision actually did some remarkable improvements meta also published this paper which is 3D gen a groundbreaking technology introduced by meta for generating high quality 3D assets from textual descriptions it leverages two primary components meta 3D asset gen for generating 3D shapes and meta 3D texture gen for generating detailed textures with 3D gen users can quickly produce 3D models complete with textures and physically based rendering PBR materials allowing these assets to be you know relit in real world applications it's pretty fast you know creating detailed and accurate prompt 3D models in literally just under a minute and it you know even you know actually you know supports retexturing and you know redoing the models based on new textual um you know input so you know it works in two ways it basically generates a 3D mesh and then with the basic textures from the text prompt using Mesa 3D asset gen and then the second tense it just you know enhances the texture quality and then using the details The Meta 3D texture gen based on either the original or new text prompt so this kind of integration they've kind of combined two things together to make something that is really effective and it's something that I think is really cool here you can see that you know it's able to texture you know many different things like in multiple different ways you can see that the theme Here is like some kind of coton wool theme so uh yeah I think this is going to be you know something that you know slowly improves cuz when I was first looking at these kinds of papers it was always kind of interesting to see how you know bad models were um and every year we we're literally seeing you know small and smaller improvements on how 3D models are being generated just simply based on textual prompts so this is going to be something that I think you know once it's integrated into the 3D world it's going to be something that's remarkably effective for you know just many different use cases and lastly but not leastly one CE again we've got some information about AI agents taking a much longer time than you think because they essentially require you know just a lot more precision and that's probably

### [29:07](https://www.youtube.com/watch?v=7qg3LTrARZM&t=1747s) The challenges of developing reliable AI agents that can take long sequences of actions

only going to happen with scale and that's something that we saw Mustafa suan say because essentially you know these a agents do require a lot more you know accuracy if we want them to chain a lot of different actions over a long period of time if you want an agent to act in the world um usually that acting requires you to you know engage in a series of right you talk to a chatbot it only answers and maybe there's a little followup but with agents you might need to take a bunch of actions see what happens in the world or with a human and then take more actions and so you need to do a long sequence of things and for that to actually work the error rate on each of the individual things has to be pretty low right if I'm a robot and I'm like you know okay I'm going to pick up this thing and walk over there and I'm going to pick up that you know I'm building the house or something there's probably thousands of actions that go into that and so all of this is to say the models need to get more reliable because the individual steps need to have very low error rates and I think part of that will come from scale um like we need another generation or two of scale before the agents will really work if you want so don't let that put a dampener on your enthusiasm for AI hopefully you guys all did enjoy this video hopefully you guys do have a great weekend as well and I'll see you guys in the next video

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*Источник: https://ekstraktznaniy.ru/video/14198*