‘Everything is Going to Be Robotic’ Nvidia Promises, as AI Gets More Real

the CEO of Nvidia revealed that he wants his company to become ultimately one giant AI even if that feels a little ways away he did Showcase in the last couple of days a string of capabilities that are possible now with AI yes we're going to hear three big promises about the future of AI but we're going to see a host of demos of things are possible right now I'll bring in clips from some recent interviews I've conducted and we'll hear from the chief of sta half of one prominent AI company predicting the end of employment as we know it in 3 to 5 years which I think is a tad overstated speaking of which you'll also see some AI fails as a Spam campaign flops hard so what about those three promises I mentioned from the CEO of Nvidia which looks set to become the largest company in the world if current trends hold well first we heard and saw that Nvidia anticipates robot revolutionizing industry the next wave of AI is here robotics powered by physical AI will revolutionize Industries that's still pretty General though right so how about the prediction that everything is going to be robotic let me talk about what's next the next wave of AI is physical ai ai that understands the laws of physics AI that can work Among Us of course when I say robotics there's a humanoid robotics that's usually the representation of that everything is going to be robotic all of the factories will be robotic the factories will orchestrate robots and those robots will be building products that are robotic robots interacting with robots building products that are robotic and of course we don't just have robots building robots we have artificial intelligence improving artificial intelligence here is Jason hang on a separate less reported occasion promising to turn Nvidia into one giant AI we can't design a chip anymore without AI at night our AIS are exploring design spaces uh vast and wide that we would never do ourselves because it cost too much money to explore we can't write software without without AI anymore we have to explore all the you know the the design space of of of optimizing compilers is too large uh we use AIS to uh file bugs so our bug you know our bugs database uh actually tells you what's wrong with the code who's likely involved and activates that person to go fix it you know so and so I I think uh we I want everybody every organization our company to use AI very aggressively I want I want to turn into a one giant AI but it's well past time that I become a bit more concrete about what models can do right now today here is a 30-second clip from Nvidia that actually undersold what AI is capable of multimodal llms are breakthroughs that enable robots to learn perceive and understand the world around them and plan how they'll act and from Human demonstrations robots can now learn the skills required to interact with the world using gross and fine motor skills but how was that under selling the capabilities of AI it looked pretty impressive right well they focused on AI learning from Human demonstrations but if you've watched my Dr Eureka video recently you'll know that it's not just about llms coming up with high level plans and then relying on human demonstrations to exercise fine grained robotic control in this case of a robot dog llms are actually really good at programming the robo dog to in this case stay balanced on a moving rolling yoga ball and I spoke with Jason Mah the lead author of The Dr Eureka paper which was made in collaboration with Nvidia about how that will only accelerate robot capabilities will be bootstrapped by large language models and I think that's the most interesting thing of using all for robotics honestly like there's a lot of work in using large language models for robotics in the high level planning category I could plan the sequence of tasks the robot needs to do but I think fundamentally the bottleneck for robot it's still like lowlevel physical control right the AL can tell the robot to cook some food but if the robot can't even pick up a knife properly it's not going to work but I think a lot of eure line work where my work is focused on how to we use this highly capable reasoning coding text models multimodal models to supervise the lowle learning so the robots can do the very complex tasks in the first place and I think that will only accelerate the key Edge that AI has is that it can iterate thousands and thousands of times in parallel in simulation until it's got a program it's happy with and dipping back into the virtual world for a moment how about the long awaited promise of being able to interact live with video game characters the foundation of digital humans are AI models built on multilingual speech recognition and synthesis and llms that understand and generate [Music] conversation [Music] for and speaking of realism before I get to the latest clips from Nvidia here's me speaking 6 weeks ago about how good lip syncing was getting using just a single photo of you we can now get you to say anything have you ever had maybe you're in that place right now where you want to turn your life around and you know somewhere deep in your soul there could be some decision that you have to make I have to remind myself that these aren't projections this is what is currently possible imagine that accuracy of lip syncing on a digital human of this level of realism lifelike appearances enabling realtime path traced subsurface scattering to simulate the way light penetrates the skin scatters and exits at various points giving skin its soft and translucent appearance I do wonder sometimes how many decades away we are from a time where you could be speaking to someone and not be entirely certain in the real world whether or not they are embodied AI I might previously have said that's 100 years away but now I think it might be in my lifetime but I'm off track cuz I promised more demos of things that are possible with AI today so how about a weather report that's localized to your building your pavement but we are not stopping there the next Frontier is hyperlocal forecasting down to tens of meters where the effects of City infrastructure are taken into account when combined with weather simulation windfields it can model the air flow around buildings we expect to predict phenomena such as down watch where strong winds funnel down to street level causing damage and affecting pedestrians Nvidia Earth 2 an excellent example of a digital twin that fuses AI physics simulations and observe data can help countries and companies see the future and respond to the impact of extreme weather or what about a coffee shop which is staffed by dozens of robots with just one or two humans to oversee things wait that's happening right now all of these things feel futuristic and far away until they actually happen and how about a sound effect generator that can generate any sound well that is possible today with 11 Labs actually I'm going to test it with something like a robot being crushed let's see if it comes up with something interesting or not so far about five six 7 Seconds not too bad and how is it whoa not perfect obviously but if you feel that all of this is in the future let me bring you a video from a a graphic designer who lost his job recently to AI they just lost my job um and I lost it to AI which is very unfortunate I think many people joke about the you know the fact that oh AI is going to take all our jobs and we're all going to get replaced and especially within my industry which is graphic design and it turns out basically all of the material that I've provided over the past 6 years is now being fed to Ai and templated um so a design that would take me 30 minutes now takes AI 30 seconds uh as it's been trained on all my templates essentially I think it just literally reuses my templates and then they can input the hex codes they want the email or the website designed to be drag and drop in the client's logo upload the client's font and boom it will generate uh my template but using their brand assets it's a reminder that even though almost all AI need needs human generated training data to get started they don't necessarily need more of it to keep going or to put it another way this is the worst the AI embodied or not will ever be which is probably why some people including the chief of staff to the CEO of anthropic makers of the claw chatbots think that this will massively impact the short-term outlook on employment this article by that Chief of Staff Avatar balwit came out just two weeks ago while I think the Outlook isn't quite this Stark here's what she had to say she predicted these next 3 years might be the last few years that I work I stand at the edge of a technological development that seems likely should it arrive to end employment as I know it and she makes the point that would have been relevant to that graphic designer we just heard from the economically and politically relevant comparison on most tasks is not whether the language model or I would say the embodied AI is better than the best human it's whether they are better than the human who would otherwise do that task doesn't have to be perfect in other words just has to be a bit cheaper she makes the somewhat common prediction by now that things like copywriting tax preparation and customer service will be heavily automated but let me give you two examples how the future is a bit more unpredictable than it can sometimes seem first I remember the frenzied reporting on this report from the think tank the IP here in Britain according ording to the headlines at least they were warning of an AI jobs apocalypse but the very next day I contacted the lead author caraston young and we had a detailed discussion for AI insiders first he said head on that he was disappointed by the media's coverage no I'm I'm not fully happy with how this is being covered both our report but in general because it can sound very scary and I think just scaring people doesn't necessarily lead to incremental thoughtful policy progress when people talk about jobs apocalypse I think some people might just switch off and throw up their hands and say oh God we're all doomed whereas what we try to do in the report is actually to say there's a range of scenarios and it's not some kind of external event like a pandemic that's like happening to us and it's all doom and gloom but it's actually a thing that totally depends on Decisions by policy makers but also by organizations that Implement AI then we discussed how a more likely medium-term outcome is wage inequality in short low wages for many but not for those who utilize AI to boost their productivity so those that remain in work their productivity will be hugely aided by AI so you have this wage inequality aspect but then of course and I think this is also Sam alman's point is that profits are likely going to go up so we have lower labor costs AI likely is able to do things more cheaply so profits will go up so those that own companies will have higher returns and so wealth inequality will likely go up and the second caution retail about how ai's impact say on jobs can sometimes be overhyped actually comes from open AI itself albeit unintentionally when we're talking about good things we talk about customer service being revolutionized and productivity accelerating but when the focus is on people using AI for nefarious purposes suddenly the AI is kind of useless this was a report released by openai a few days ago about how some Bad actors were trying to generate disinformation campaigns on mass openai terminated those accounts but gave a summary of the impact of these campaigns using the GPT models there was no significant audience increase due to our services hm later on in the report they say this so far these operations from places like Russia Israel and China do not appear to have benefited from meaningfully increased audience engagement or reach as a result of our services they basically describe how these guys came up with a load of spam but people weren't buying it for the most part it was because the spam just wasn't very good I don't know it might be me but I just find it a little bit ironic that when we're talking about a negative use of the technology the party line is that the models are kind of useless of course what we really need are better benchmarks and so I was pleased to see this initiative from scale AI they describe these benchmarks and leaderboards that can't be gamed are uncontaminated and unbiased according to these benchmarks at least Gypsy 40 is not a million miles ahead of other models this initiative reminds me at least how we should always Benchmark models on our own use cases because leaderboards chop and change quite a lot notice how the table on the left is quite different to the one that open AI put out on release that initiative by the way isn't the only reason to be optimistic about benchmarks which I covered in this video on patreon in short though I think just about the only thing we can all agree on is that the future is about as unpredictable as it has ever been in terms of at least referring to AI in academic papers you can see the recent exponential increase across virtually every field how this all actually plays out though in the real world in society with jobs with embodied physical AI we simply don't know thank you though for being here with me as we watch it all unfold have a wonderful day

Channel: AI Explained

Views: 125,766

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Id: nxO_t5N82m0

Length: 15min 8sec (908 seconds)

Published: Tue Jun 04 2024