YouSaid · the spoken record

Ben Goertzel

lines on the record: 334
first: 2020-06-22
most recent: 2020-06-22
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“I mean, the centralization of healthcare and of AI is certainly not ideal, right? Like most AI PhDs are being sucked in by a half dozen to a dozen big companies. Most AI processing power is being bought by a few big companies for their own proprietary good. And most medical research is within a few pharmaceutical companies and clinical trials run by pharmaceutical companies will stay solid within those pharmaceutical companies. These large centralized entities, which are intelligences in themselves, these corporations, but they're mostly malevolent, psychopathic, and sociopathic intelligences, not saying the people invarvdar, but the corporations as self organizing entities on their own which are concerned with maximizing shareholder value as a sole objective function. I mean, AI and medicine are being sucked.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“To peer methods designed with universal compassion at the core can gain traction, then these will just decrease the role that government has. And I think that's much more likely to do good than trying to explicitly reform the global government system. I mean, I'm happy other people are trying to explicitly reform the global government system. On the other hand, you look at how much good the internet or Google did or mobile phones did. I mean, you're making something that's decentralized and throwing it out everywhere and it takes hold, then government has to adapt. And I mean, that's what we need to do with AI and with health. And in that light,”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“REJUVE Rajuve.io. That aims to do the same thing for medicine. So it's like peer-to-peer sharing of medical data. So you can share medical data into a secure data wallet. You can get advice about your health and longevity through apps that rejuve will launch within the next couple months. And then Singularity AI can analyze all this data, but then the benefits from that analysis or spread among all the members of the network. Of course, I'm going to hawk my particular projects, but I mean, whether or not Singularity and Rejuve are the answer, I think it's key to create decentralized mechanisms for everything. I mean, for AI, for human health, for politics, for jobs and employment, for sharing social information, and to the extent decentralized people”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Unethical and unequal and badly designed. And I mean, I don't know how to solve that directly. I think what we can do indirectly to solve it is to make systems that operate in parallel and off to the side of the governments that are nominally controlling the world with their armies and militias. And to the extent that you can make compassionate peer-to-peer decentralized frameworks for doing things, these are things that can start out unregulated, and then if they get traction before the regulators come in, then they've influenced the way the world works, right? Singularity net aims to do this with With AI, Rejuve, which is a spin off from singularity net, you can see rejuve.io.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Diseases. I mean, there are many places in the world where you're at risk of having your teenage son kidnapped by armed militias and forced to get killed in someone else's war fighting tribe against tribe. Humanity has a lot of problems which we don't need to have given the state of advancement of our technology right now. And I think COVID is one of the easier problems to solve in the sense that there are many brilliant people working on vaccines. We have the technology to create vaccines and we're going to create new vaccines. We should be more worried that we haven't managed to defeat malaria after so long and after the Gates Foundation and others putting so much money into it. I mean, I think clearly the whole global medical system, the global health system, and the global political and socioeconomic system are incredibly”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“I think if you spend much time in sub-Saharan Africa, you can see there's a lot of pain and suffering happening all the time. Like you walk through the streets of any large city in sub-Saharan Africa and there are Loads, I mean, tens of thousands, probably hundreds of thousands of people lying by the side of the road, dying mainly of curable diseases without food or water and either ostracized by their families or they left their family house because they didn't want to infect their family, right? I mean, there's tremendous human suffering on the planet all the time, which most folks in the developed world pay no attention to. And COVID is not remotely the worst. How many people are dying of malaria all the time? I mean, so COVID is bad. It is by no means the worst thing happening. And setting aside...”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Where the rubber hits the road, trying to save people's lives. I've been doing bio AI since 2001, but mostly human longevity research and fly longevity research, try to understand why some organisms really live a long time. This is the first time race against the clock and try to use the AI to figure out stuff that we take two months longer to solve the AI problem so more people will die because we don't know what combination of antivirals to give them.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Huge messy floating point vectors that are annoying for a logic engine to deal with but are perfect for a decision farce or neural net. So it's a great playground for hybrid AI methodology and we can have SingularityNet, have OpenCog in one agent and XGBoost in a different agent and they talk to each other. But at the same time it's highly practical, right? Because we're working with, for example, some physicians on this project and physicians in the group called Nthopinion based out of Vancouver and Seattle who are these guys are working every day like in the hospital with patients dying of COVID. So it's quite cool to see like neural symbolic AI.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Embeddings from that graph into neural nets for bioinformatics. So it's both being a cool testing ground Some of our bio AI learning and reasoning, and it seems we're able to discover things that people weren't seeing otherwise. Because the thing in this case is for each combination of antivirals, you may have only a few patients who've tried that combination. And those few patients may have their particular characteristics. Like this combination of three was tried only on people 80 or over. This other combination of three, which has an overlap with the first combination, was tried more on young people. So how do you combine those different pieces of data? It's a very dodgy transfer learning problem, which is the kind of thing that the probabilistic reasoning algorithms we have inside OpenCOG are better at than deep neural networks. On the other hand, you have gene expression data where you have 25,000 genes and the expression level of each gene in the peripheral blood of each gene.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“From many different biology experiments about human longevity and from biology knowledge bases online, and we can do like graph to vector type embeddings where we take nodes from the hypergraph, embed them into vectors, which can then feed into neural nets for different types of analysis. And we were doing this in the context of a project called rejuve that we spun off from SingularityNet to do longevity analytics, like understand why people lived to 105 years over and other people don't. And then we had this spin-off Singularity Studio where we're working with some healthcare companies on data analytics. So this bio-abspace we built for these more commercial and longevity data analysis purposes were repurposing and feeding COVID data into the same bio atom space and playing around with like graphs.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Not in the immediate future because the US and China frictions are getting very high. So it's hard to see US and China as moving in the direction of openly sharing data with each other, right? There's some sharing of data, but different groups are keeping their data private till they've milked the best results from it and then they share it, right? So yeah, we're working with some data that we've managed to get our hands on, something we're doing to do good for the world and it's a very cool playground for like putting deep neural nets in OpenCOG together. So we have like a bio atom space full of all sorts of knowledge.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“No one ever heard of. Everyone paid attention to this, so they were doing more clinical trials based on that, then they stopped doing clinical trials based on that. Then they started again. Why isn't that data just out there so whoever can analyze and see what's going on, right?”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“This is one of the shameful things that's very hard to get that data. So, I mean, we're working with a couple groups doing clinical trials, and they're sharing data with us under non-disclosure. But what should be the case is every COVID clinical trial should be putting data online somewhere, like suitably encrypted to protect patient privacy so that anyone with the AI algorithms should be able to help analyze. And any biologist should be able to analyze it by hand to understand what they can, right? Instead, that data is like siloed inside whatever hospital is running the clinical trial, which is completely asinine and ridiculous. Why the world works that way? We could all analyze why, but it's insane that it does. Look at this hydrochloroquine, right? All these clinical trials were done, were reported by Sergiosphere, some little company.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Just detect combat and kill the virus. But I think now we're stuck with the... Biological mechanisms to combat these viruses. And we've been. HGI is not yet mature enough to use against COVID, but we've been using machine learning and also some machine reasoning in OpenCog to help some doctors to do personalized medicine against COVID. So the problem there is given to persons genomics and given their clinical medical indicators, how do you figure out which combination of antivirals is going to be most effective against COVID for that person? And so that's something where machine learning is interesting, but also we're finding the abstraction we get in OpenCog with machine reasoning is interesting because it can help with transfer learning when you have not that many different cases to study and qualitative differences between different strains of a virus or people of different ages who may have COVID.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“I think the concept of intelligence is not that natural of a concept in the end. I mean, I think human minds and bodies are a kind of complex, self-organizing, adaptive system. And viruses certainly are that, right? They're a very complex self-organizing adaptive system. If you want to look at intelligence, as Marcus Hooter defines it, as sort of optimizing computable reward functions over computable environments, for sure, viruses are doing that, right? And I mean, in doing so, they're causing some harm to us. So the human immune system is very complex, self-organizing adaptive system, which has a lot of intelligence to it. And viruses are also adapting and dividing into new mutant strains and so forth. And ultimately, the solution is going to be nanotophile.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“And so that we can fill the AI's mind with love and compassion. So I've been talking a lot with Hansen Robotics lately about collaborations in the area of medical robotics. And we haven't quite pulled the trigger on a project in that domain yet, but we may well do so quite soon. So we've been talking a lot about robots can help with elder care, robots can help with kids. David's done a lot of things with autism therapy and robots before. In the COVID era, having a robot that can be a nursing assistant in various senses can be quite valuable. The robots don't spread infection and they can also deliver more attention than human nurses can give, right? So if you have a robot that's helping a patient with COVID, Then you're using that connection in a bad way, but you could also use it in a good way. But then that's the same.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“And I mean, you know, the whole media industry is based on fooling people the way they want to be fooled. And we are fooling people. 100% toward a good end. I mean, we are playing on people's sense of empathy and compassion. So that we can give them a good user experience with helpful robots.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, the thing is, even if you get up on stage and tell people how Sophia is working and then they talk to her They still attribute more agency and consciousness to her than is. Is really there. So I think there's a couple levels of ethical issue there. One issue is, should you be Transparent about how Sophia is working. And I think you should. And I think we have been. I mean, there's articles online, there's some TV special that goes through me explaining the three subsystems behind Sophia. So the way Sophia works is out there much more clearly than how Facebook say I works or something, right? I mean, we've been fairly explicit about it. The other is... Given that telling people how it works doesn't cause them to not attribute too much intelligence agency to it anyway, then should you keep fooling them when they want to be...”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“The other thing I was going to say is, I have been explicit about how Sophia works. And I've posted online and what H+ Magazine online web zine. I mean, I posted a moderately detailed article explaining there are three software systems we've used inside Sophia. There's a timeline editor, which is like a rule-based authoring system where she's really just being an outlet for what a human scripted. There's a chatbot which has some rule-based and some neural aspects. And then sometimes we've used OpenCog behind Sophia where there's more learning and reasoning. And, you know, the funny thing is, I can't always tell which system is operating here, right? I mean, so whether she's really learning Thinking or just appears to be over half an hour, I could tell, but over like three or four minutes of interaction. So even having three.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Absolutely. About Sophia, I would say, I mean, first of all, I have nothing against Jan Lakut. No, no, this is fine. This is all if he wants to play the media banter game. I'm happy to play. He's a good researcher and a good human being. I'd happily work with the guy. Yeah.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Minefield that we're all embedded in that yields many strange synchronicities in the world, which is a topic we don't have time to go into too much here.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“In Austin, Texas, a few years back. And in this case, the Phillip Keddick was just teleoperated by another human in the other room. So during the conversations, we didn't tell people the robot was teleoperated. We just said, here, have a conversation with Phil Dick. We're going to film you, right? And they had a great conversation with Phil Kick teleoperated by my friend Stefan Bugay. After the conversation, we brought the people in the back room to see Stefan, who was controlling the Philip K. robot, but they didn't believe it. These people were like, well, yeah, but I know I was talking to Phil. Maybe Stefan was typing, but the spirit of Phil was animating his mind while he was typing. So, like, even though they knew it was a human in the loop, even seeing the guy there, they still believe that was Phil they were talking to, right?”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“That's part of his charm. That's part of his genius. Certainly, there have been conversations within Hanson robotics and between me and David where I was like, let's. Let's be more open about how this thing is working. And I did have some influence in nudging hands and robotics to be more open about how Sophia was working, and David wasn't especially opposed to this. And, you know, he was actually quite right about it. What he said was, you can tell people exactly how it's working. They won't care. They want to be drawn into the illusion. And he was 100% correct. I'll tell you a. Wasn't Sophia, this was Philip K. Dick, but we did some interactions between humans and Philip K. Dick robots.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“I would add on this though I'm in. David Hansen Is an artist, and he often speaks off the cuff, and I have not agreed with everything that David has said or done regarding Sophia. David also was not agree with everything David has set or done about support. That's a certain point. I mean, David is an artistic wild man, and that's...”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“During this, that's his thing. That's his thing. That in particular struck me as somewhat ironic because Jan Lacun is working for Facebook, which is using machine learning to program the brains of the people in the world toward vapid consumerism and political extremism. So if your ethics allows you to use machine learning in such a blatantly destructive way, why would your ethics not allow you to use machine learning to make a lovable theatrical robot that draws some foolish people into its theatrical illusion? Like if the pushback had come from Yoshua Benjio, I would have felt much more humbled by it because he's not...”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“On the other hand I think even if I weren't directly involved with it, once I dug a little deeper into David and the robot and the intentions behind it, I think I would have stopped being pissed off. Whereas folks like Jan LeCun have remained pissed off after their initial...”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“I think there's several parts to my reaction there. First of all, If I weren't involved with Huntson Rabox and didn't know David Hanson personally, I probably would have been very annoyed initially at Sophia as well. I mean, I can understand the reaction. I would have been like, wait, all these stupid people out there think this is an AGI. But it's not an AGI, but they're tricking people that this very cool robot is an AGI. And now those of us trying to raise funding to build AGI. People will think it's already there and already works, right? So I.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“With Sophia, if I were doing a robotics project aimed at AGI, I would want to make like a robot toddler that was just learning about what it was seeing, because then the language is grounded in the experience of the robot. But what Sophia needs to do to be Sophia is talk about sports or the weather or robotics or the conference she's talking at. Yeah. She needs to be fluent talking about any damn thing in the world, and she doesn't have grounding for all those things. So there's this, just like, I mean, Google Mina and Facebook's chat. I don't have grounding for what they're talking about either. So in a way, the need to speak fluently about things where there's no non-linguistic grounding pushes what you can do for Sophia in the short term a bit away from”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“We're generating training data of what Sophia says in a wide variety of conversations. But we can see. Compared to Sophia's current chatbot, the Facebook Deep Neural chatbot comes up with a wider variety of fluent sounding sentences. On the other hand, it rambles like mad the Sophia Chatbot. It's a little more repetitive in the sentence structures it uses. On the other hand, it's able to keep like a conversation arc over a much longer period, right? Now you can probably surmount that using reformer and using various other deep neural architectures to improve the way these transformer models are trained. In the end, neither one of them really understands what's going on. And I mean, that's the challenge I had.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, this is the thing. So I've actually been running an experiment the last couple weeks taking Sophia's chatbot and then Facebook's transformer chatbot, which they opened the model. We've had them chatting to each other for a number of weeks on the server just hungry.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Will do its thing. So there's a lot of AI in there. There's not any AGI in there. I mean, there's computer vision to recognize people's faces, recognize when someone comes in the room and leaves, try to recognize whether two people are together or not. I mean, the dialogue system, it's a mix of hand-coded rules with deep neural nets that come up with their own responses. And there's some attempt to have a narrative structure. And sort of try to pull the conversation into something with the beginning, middle, and end and the sort of story arc.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Because it wasn't getting the right text, right? So I started to view that really as what. What in software engineering you call a walking skeleton, which is maybe the wrong metaphor to use for Sophia, or maybe the right one. I mean, with a walking skeleton is in software development is, if you're building a complex system, how do you get started? Well, one way is to first build part one well, then build part two well, then build part three well, and so on. Another way is you make like a simple version of the whole system and put something in the place of every part, the whole system will need, so that you have a whole system that does something, and then you work on improving each part in the context of that whole integrated system. So that's what we did on a software level in Sophia. We made like a walking skeleton software system where, so there's something that sees, there's something that hears, there's something that moves, there's something that remembers, there's something that learns a simple version of each thing in there, and you connect them all together so that the system”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“The robot's always broken souls, yeah. Yeah, so faced with the reality of making Sophia do stuff, many of my Robo AGI aspirations were temporarily cast aside. And I mean, there's just a practical... Problem of making this robot interact in a meaningful way because you put nice computer vision on there, but there's always glare. Or you have a dialogue system. But at the time I was there, like no speech text algorithm could deal with Hong Kong East people's English accents. So the speech detect was always bad. So the robot always sounded stupid.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Now, David saw this the same way. That's why he came up with the name Sophia, which means wisdom. So it seemed to me making these beautiful loving robots to be rolled out for beneficial applications would be the perfect way to roll out early stage AGI systems so they can learn from people and not just learn factual knowledge but learn human values and ethics learn People while being there, you know, their home service robots, their education assistants, their nursing robots. So that was the grand vision. Now, if you've ever worked with robots, the reality is quite different, right? Like the first principle is the robot is always broken. I mean, I worked with robots in the 90s a bunch when you had to solder them together yourself, and I'd put neural nets doing reinforcement learning on like.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“The best way to bias the AGIs we create toward benevolence would be to infuse them with love and compassion the way that we do our own children. So you want to interact with AIs in the context of doing compassionate loving and beneficial things. And in that way, as your children will learn, by doing compassionate, beneficial, loving things alongside you, in that way, the AI will learn in practice what it means to be compassionate, beneficial, and loving. It will get a sort of ingrained intuitive sense of this, which it can then abstract in its own way as it gets more and more intelligent.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Nasty outcomes because if you're making something 10 times as smart as you, how can you know what it's going to do? There's an irreducible uncertainty there, just as my dog can't predict what I'm going to do tomorrow. So it seemed to me that based on our current state of knowledge,”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“So, yeah, he's interested in, but he also worked a lot with rule based and logic based AI systems too. So, yeah, he's interested in not just Sophia, but all the Hansen robots as a powerful social and emotional robotics platform. And what I saw in Sophia Was a way to get AI algorithms out there in front of a whole lot of different people in an emotionally compelling way. Part of my thought was really kind of abstract, connected to AGI ethics. And, you know, many people are concerned AGI is going to enslave everybody or turn everybody into computronium to make extra hard drives for their cognitive engine or whatever. Emotionally, I'm not driven to that sort of paranoia. I'm really just an optimist by nature. Intellectually, I have to assign a non-zero probability to those sorts of”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“David's view was always that Sophia would be a platform, much like, say, the Pepper robot is a platform from Softbank. Should be a platform with a set of nicely designed APIs that anyone can use to experiment with their different AI algorithms on that platform. And SingularityNet, of course, fits right into that, right? Because SingularityNet, it's an API marketplace. So anyone can put their AI on there. OpenCOG is a little bit different. I mean, David likes it, but I'd say it's my thing. It's not his. David has a little more passion for biologically based approaches to AI than I do, which makes sense. I mean, he's really into human physiology and biology. He's a character sculptor, right?”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, yeah, yeah, exactly. Sophia, many copies of this Sophia robot would be among the user interfaces to the globally distributed Singularity Net cloud mind. I mean, David and I talked about that for quite a while before co-founding Singularity.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“To make his robots smarter than they were. And so we started working together. And for a few years, I was chief scientist and head of software at Hanson Robotics. Then when I got deeply into the blockchain side of things, I stepped back from that and co-founded SingularityNet. David Henson was also one of the co-founders of SingularityNet. So part of our goal there had been to make the blockchain-based cloud mind platform for Sophia and the other handsome. Sophia would be just...”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“David was starting to explore that also. I invited him to Hong Kong to give a talk in Hong Kong Polyu, and I introduced him in Hong Kong to some investors who were interested in his robots, and he didn't have Sophia then. He had a robot of Philip Kdik, our favorite science fiction writer. He had a robot Einstein. He had some little toy robots that looked like his son Zeno. So through the investors I connected him to, he managed to get some funding to basically port Hanson robotics to Hong Kong. And when he first moved to Hong Kong, I was working on AGI research and also on this machine learning trading project. So I didn't get that tightly involved with Hansen Robotics. But as I hung out with David more and more as we were both there in the same place, I started to get Started to think about what you could do.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, pretty much. And on the other hand, I started doing some cool research there with Gino Yu in Hong Kong Polytechnic University. I got involved with a project called Idea using machine learning for stock and futures prediction, which was quite interesting. And I also got to know something about the consumer electronics and hardware manufacturer ecosystem in Shenzhen across the border, which is like the only place in the world that makes sense to make complex consumer electronics at large scale and low cost. It's just, it's astounding the hardware ecosystem that you have in South China. people here cannot imagine what it's like so”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“We hit it off quite well. And we talked to each other off and on. Then I moved to Hong Kong in 2011. So I'd been, I mean, I've been living all over the place. I've been in Australia and New Zealand in my academic career than in Las Vegas for a while within New York in the late 90s starting my entrepreneurial career within DC for nine years doing a bunch of US government consulting stuff then moved to Hong Kong in 2011, mostly because I met a Chinese girl who I fell in love with and we got married. She's actually not from Hong Kong. She's from mainland China, but we converge together in Hong Kong, still married now, have a two-year-old baby.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“Eye to eye, face to face. Look at people and make people love the machine and the machine loves the people back. So I thought that was very different way of looking at it because I'm very math-oriented and I'm just thinking like what is the abstract cognitive? Algorithm that will let this system internalize the complex patterns of human values, blah, blah, blah, whereas he's like, look, you in the face in the eye and love you, right? So I...”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“I met David maybe 2007 or something at some futurist conference. We were both speaking at. And I could see we had a great deal in common. I mean, we're both kind of crazy, but we also had a passion for AGI and the singularity. And we were both huge fans of the work of Philip K. Dick, the science fiction writer. And I wanted to create benevolent AGI that would create massively better life for all humans and all sentient beings, including animals, plants, and superhuman beings. And David, he wanted exactly the same thing, but he had a different idea of how to do it. He wanted to get computational compassion. He wanted to get machines that would love people and empathize with people. The way to do that was to make a machine that could look people.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“I'd rather start by telling you who David Henson is. David is the brilliant mind behind this Sophia robot. And he remains... So far, he remains more interesting than his creation. Although she may be improving faster than he is, actually. So, yeah,”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“But because these decentralized mechanisms happened and then the regulations followed, right? And the regulations would be very different if they'd been put into place before there was Napster and BitTorrent and so forth. So in the same way. We got to put AI out there in a decentralized vein and big data out there in a decentralized vein now so that the most advanced AI in the world is fundamentally decentralized. And if that's the case, that's just the reality the regulators have to deal with. And then as in the music case, they're going to come up with regulations that sort of work with the decentralized reality.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“That's kind of a minor point, as you alluded, if regulations go in the wrong direction, it could become more of a major point. But I think it also is the case that having these workarounds to regulations in place is a defense mechanism against those regulations being put into place. And you can see that in the music industry, right? I mean, Napster just happened and BitTorrent just happened. And now most people in my kids' generation, they're baffled by the idea of paying for music. I mean, my dad pays for music.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“The value of having a decentralized protocol because what I hope is that someone in Iran will put online an Iranian singularity net marketplace, right? Which you can pay in a cryptographic token which is not owned by any country. And then if you're in like Congo or somewhere that doesn't have any problem with Iran, you can subcontract AI services that you find on that marketplace, right? Even though US citizens can't right now.”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source
“And there's the market. Yeah, anyone can use the open decentralized protocol. So, say some developers from Iran and there's brilliant AI guys in University of Isfahan in Tehran, they can put their stuff on Singularity Net protocol and just like they can put something on the internet, right? I don't control it. But if we're going to list something on the singularity net marketplace and put a little picture and a link to it, then if I put some Iranian AI genius' code on there, then Donald Trump can send a bunch of jack-booted thugs to my house to arrest me for doing business with Iran. So, I mean, we already see in some ways”
2020-06-22 · Lex Fridman Podcast · #103 – Ben Goertzel: Artificial General Intelligence · IDENTIFIED FROM THE TRANSCRIPT · source