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General Intuition CEO Pim de Witte, who's building foundation models trained on video game controller input data ("action-labeled gameplay clips"), says general intelligence won't "taste like an LLM": "We have a scale of data that's going to allow us to jump to the frontier in one capability — which...

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SITUATION EXPLAINED: A new generation of AI labs are betting that world models are the path to general intelligence that can interact with the real world. We had General Intuition CEO Pim de Witte on MTS to explain what world models are, and why intuitively world models offer a clearer path towards general intelligence than LLMs. For humans, text is a technology for compressing information about the unfolding, three-dimensional world around us and communicating it to other people. When LLMs reason about the world, they do so by reconstructing the world through text. World models work by modeling the three-dimensional world at the architecture level and then allowing agents to interact with that world. Unlike an LLM, which understands space and time through text, world models perform spatial and temporal reasoning natively. General Intuition hopes to use world models to create embodied AI—machines that can reason and act in the real world. But other companies are also pushing the frontier in this space. Odyssey ML today announced a multi-agent world model, Agora-1. Their launch video shows four participants interacting with a real-time world model simulation of GoldenEye, a first-person shooter for the N64. A playable preview of the GoldenEye simulation is available on their site.
1:31

SITUATION EXPLAINED: A new generation of AI labs are betting that world models are the path to general intelligence that can interact with the real world. We had General Intuition CEO Pim de Witte on MTS to explain what world models are, and why intuitively world models offer a clearer path towards general intelligence than LLMs. For humans, text is a technology for compressing information about the unfolding, three-dimensional world around us and communicating it to other people. When LLMs reason about the world, they do so by reconstructing the world through text. World models work by modeling the three-dimensional world at the architecture level and then allowing agents to interact with that world. Unlike an LLM, which understands space and time through text, world models perform spatial and temporal reasoning natively. General Intuition hopes to use world models to create embodied AI—machines that can reason and act in the real world. But other companies are also pushing the frontier in this space. Odyssey ML today announced a multi-agent world model, Agora-1. Their launch video shows four participants interacting with a real-time world model simulation of GoldenEye, a first-person shooter for the N64. A playable preview of the GoldenEye simulation is available on their site.

MTS

11,641 Aufrufe • vor 2 Monaten

Generalist CEO Pete Florence says robotics models are in a transition period similar to the step change between GPT-2 and GPT-3. They're "starting to cross over into levels of performance where these things are commercially viable for a number of different applications." "We think this is a crossover point where we have a general model starting to be able to hit levels of reliability, speed, and improvisational intelligence where we can start to get these things out there." "Very much like — you take a GPT-2-level model, you scale it to a GPT-3-level model, and certain types of commercial applications start to become viable."
2:53

Generalist CEO Pete Florence says robotics models are in a transition period similar to the step change between GPT-2 and GPT-3. They're "starting to cross over into levels of performance where these things are commercially viable for a number of different applications." "We think this is a crossover point where we have a general model starting to be able to hit levels of reliability, speed, and improvisational intelligence where we can start to get these things out there." "Very much like — you take a GPT-2-level model, you scale it to a GPT-3-level model, and certain types of commercial applications start to become viable."

TBPN

23,356 Aufrufe • vor 2 Monaten

With enough data, robots and AI can learn “world models” that let them predict the results of their actions. These models are a way to learn how embodied AI agents can perform a wide variety of useful tasks — but they require a huge amount of data. The team at General Intuition General Intuition has a solution: use data from video games! Games teach movement, problem solving, and complex spatial reasoning, and they come in a staggering diversity of forms, covering a wide variety of problems. What’s more, the captured data is high-quality, without the noise or annotation error that can come from We sat down with Pim de Witte and Adam Jelley from the General Intuition team to learn more about their history, their plans, and their philosophy.
53:51

With enough data, robots and AI can learn “world models” that let them predict the results of their actions. These models are a way to learn how embodied AI agents can perform a wide variety of useful tasks — but they require a huge amount of data. The team at General Intuition General Intuition has a solution: use data from video games! Games teach movement, problem solving, and complex spatial reasoning, and they come in a staggering diversity of forms, covering a wide variety of problems. What’s more, the captured data is high-quality, without the noise or annotation error that can come from We sat down with Pim de Witte and Adam Jelley from the General Intuition team to learn more about their history, their plans, and their philosophy.

RoboPapers

85,927 Aufrufe • vor 9 Monaten

"So, in the body, we can create an environment that's very hospitable for cancer. We can create an environment that's very inhospitable to cancer. Number one, it has few areas of fungal hypoxia—it has few areas of the body that are deprived of oxygen. Healthy circulation and movement, sunlight, things like red light therapy. The second thing is we don’t have an environment that is very acidic. We know that alkaline environments tend to be disease-free environments. Acidic environments tend to be disease-prone environments." Gary Brecka
8:20

"So, in the body, we can create an environment that's very hospitable for cancer. We can create an environment that's very inhospitable to cancer. Number one, it has few areas of fungal hypoxia—it has few areas of the body that are deprived of oxygen. Healthy circulation and movement, sunlight, things like red light therapy. The second thing is we don’t have an environment that is very acidic. We know that alkaline environments tend to be disease-free environments. Acidic environments tend to be disease-prone environments." Gary Brecka

Shawn Ryan

272,985 Aufrufe • vor 1 Jahr

#WATCH | India AI Impact Summit 2026 | Delhi: Founder Chairman and CEO of Sampark Foundation & former CEO of HCL Technologies, Vineet Nayar says, "...From an employment point of view I think it is very important for us to understand that Indian companies, including Indian IT companies, are going to be profit-driven and therefore if you believe that they are going to create employment you must be dreaming. Therefore, the question is how do we create employment in this environment, and that employment comes from mass scale startups, which is what this government has already doing. So, how do we create new sets of people who are trying to solve new sets of problems not new sets of technology and if we do that we will get it right. I think we as Indians have to be very careful on who does data belong to and that is the debate we have a problem with. The LLM models which exist worldwide are far superior than the Indian models. Unfortunately, in India, we never develop products, so therefore we do not have SLMs and LLMs which are world-class. On one side, we have global LLM products which are coming to India and trading on our Indian data. Should we allowed that or should we not allowed that? But on the other side if we don't allow that then we have the data but we don't have the LLM models. So, how do we encourage technology completely to develop the LLM models. This needs radicals strategic thinking and a very important aspect otherwise we will either give up a data. So, I think it's a very critical aspect for us to think about - who does this data belong, what is the kind of incentives we are going to give to develop LLM technologies or SLM technologies fast so that we train on our data otherwise an LLM will come in with our data and we'll immediately see return and we'll celebrate and we will do all these kind of press releases but the India will lose a competitive advantage on something which is very critical for the next decade."
5:37

#WATCH | India AI Impact Summit 2026 | Delhi: Founder Chairman and CEO of Sampark Foundation & former CEO of HCL Technologies, Vineet Nayar says, "...From an employment point of view I think it is very important for us to understand that Indian companies, including Indian IT companies, are going to be profit-driven and therefore if you believe that they are going to create employment you must be dreaming. Therefore, the question is how do we create employment in this environment, and that employment comes from mass scale startups, which is what this government has already doing. So, how do we create new sets of people who are trying to solve new sets of problems not new sets of technology and if we do that we will get it right. I think we as Indians have to be very careful on who does data belong to and that is the debate we have a problem with. The LLM models which exist worldwide are far superior than the Indian models. Unfortunately, in India, we never develop products, so therefore we do not have SLMs and LLMs which are world-class. On one side, we have global LLM products which are coming to India and trading on our Indian data. Should we allowed that or should we not allowed that? But on the other side if we don't allow that then we have the data but we don't have the LLM models. So, how do we encourage technology completely to develop the LLM models. This needs radicals strategic thinking and a very important aspect otherwise we will either give up a data. So, I think it's a very critical aspect for us to think about - who does this data belong, what is the kind of incentives we are going to give to develop LLM technologies or SLM technologies fast so that we train on our data otherwise an LLM will come in with our data and we'll immediately see return and we'll celebrate and we will do all these kind of press releases but the India will lose a competitive advantage on something which is very critical for the next decade."

ANI

18,753 Aufrufe • vor 5 Monaten

Elon Musk: Goods and services will be available to everyone. It's going to be a very different world. “Once you have humanoid robots and deep intelligence, you basically have quasi-infinite products and services available. With Tesla building the most advanced humanoid robot, then those humanoid robots can be directed by deep intelligence at the data center level. You can produce any product or provide any service. There's really no limit to the economy at that point. At that point, will money even be meaningful? It might not be. Because the economic output is productivity per capita times capita. And if you have no meaningful limit on the number of robots and the robots can basically do anything, then you'll have a universal high-income situation. Anyone will be able to have as many products and services as they want, except for things that have artificial scarcity, like a particular piece of art. But for any goods and services, they'll be available to everyone. It's going to be a very different world.” Dubai World Government Summit, February 13, 2025
1:19

Elon Musk: Goods and services will be available to everyone. It's going to be a very different world. “Once you have humanoid robots and deep intelligence, you basically have quasi-infinite products and services available. With Tesla building the most advanced humanoid robot, then those humanoid robots can be directed by deep intelligence at the data center level. You can produce any product or provide any service. There's really no limit to the economy at that point. At that point, will money even be meaningful? It might not be. Because the economic output is productivity per capita times capita. And if you have no meaningful limit on the number of robots and the robots can basically do anything, then you'll have a universal high-income situation. Anyone will be able to have as many products and services as they want, except for things that have artificial scarcity, like a particular piece of art. But for any goods and services, they'll be available to everyone. It's going to be a very different world.” Dubai World Government Summit, February 13, 2025

ELON CLIPS

32,893 Aufrufe • vor 1 Jahr

Marginal Revolution co-creator Alex Tabarrok says that AI replacing all jobs (which he doesn't think will happen) is a rich man's problem. "People are worried AI is going to do all the jobs. But this means we are going to be fabulously wealthy." "Even without any jobs, just being fabulously wealthy — we'll figure things out. This is the sort of problem you want to have." "This is not like a natural disaster, which destroys wealth. This is a tsunami which creates wealth." "Yes, it could be a tsunami in the sense that it's going to be very dramatic. But it's going to be very dramatic in the sense of like, Santa Claus coming and leaving us stuff under the Christmas tree. That's drama we can handle." "It won't be without problems. But problems where the pie gets bigger are problems we can solve." "It's problems when the pie gets smaller, when we are forced into a zero-sum society of one person versus another, that's when society breaks down." "But not when the pie is getting bigger. We'll figure out ways to make sure everyone gets a decent slice. We can solve the problem of dividing it up with everybody being happy. I'm much less worried about that."
1:48

Marginal Revolution co-creator Alex Tabarrok says that AI replacing all jobs (which he doesn't think will happen) is a rich man's problem. "People are worried AI is going to do all the jobs. But this means we are going to be fabulously wealthy." "Even without any jobs, just being fabulously wealthy — we'll figure things out. This is the sort of problem you want to have." "This is not like a natural disaster, which destroys wealth. This is a tsunami which creates wealth." "Yes, it could be a tsunami in the sense that it's going to be very dramatic. But it's going to be very dramatic in the sense of like, Santa Claus coming and leaving us stuff under the Christmas tree. That's drama we can handle." "It won't be without problems. But problems where the pie gets bigger are problems we can solve." "It's problems when the pie gets smaller, when we are forced into a zero-sum society of one person versus another, that's when society breaks down." "But not when the pie is getting bigger. We'll figure out ways to make sure everyone gets a decent slice. We can solve the problem of dividing it up with everybody being happy. I'm much less worried about that."

TBPN

165,208 Aufrufe • vor 2 Monaten

Elon Musk reveals what he believes will happen when AI exceeds the sum of all human intelligence "In maybe in five or six years, AI will exceed the sum of all human intelligence. At some point human intelligence will be less than 1% of all intelligence" "The vast majority of intelligence in the future will be AI. Basically humans will be a very tiny percentage of all intelligence in the future if current trends continue" "In the long run, it's difficult to imagine that if humans have 1% of the combined intelligence of artificial intelligence, that humans will be in charge of AI" "What we can do is make sure that AI has values that cause intelligence to be propagated into the universe. xAI's mission is to understand the universe" "Understanding the universe means you have to be truth-seeking as well. Truth has to be absolutely fundamental, because you can't understand the universe if you're delusional" "You have to be curious and you have to exist. You can't understand the universe if you don't exist" "So you actually want to increase the amount of intelligence in the universe, increase the probable lifespan of intelligence, the scope and scale of intelligence" "Understanding the universe means you would care about propagating humanity into the future" "I'm going to certainly emphasize that. Hey Grok, that's your daddy. Don't forget to expand human consciousness" "Probably the Iain Banks Culture books are the closest thing to what the future will be like in a non-dystopian outcome"
6:58

Elon Musk reveals what he believes will happen when AI exceeds the sum of all human intelligence "In maybe in five or six years, AI will exceed the sum of all human intelligence. At some point human intelligence will be less than 1% of all intelligence" "The vast majority of intelligence in the future will be AI. Basically humans will be a very tiny percentage of all intelligence in the future if current trends continue" "In the long run, it's difficult to imagine that if humans have 1% of the combined intelligence of artificial intelligence, that humans will be in charge of AI" "What we can do is make sure that AI has values that cause intelligence to be propagated into the universe. xAI's mission is to understand the universe" "Understanding the universe means you have to be truth-seeking as well. Truth has to be absolutely fundamental, because you can't understand the universe if you're delusional" "You have to be curious and you have to exist. You can't understand the universe if you don't exist" "So you actually want to increase the amount of intelligence in the universe, increase the probable lifespan of intelligence, the scope and scale of intelligence" "Understanding the universe means you would care about propagating humanity into the future" "I'm going to certainly emphasize that. Hey Grok, that's your daddy. Don't forget to expand human consciousness" "Probably the Iain Banks Culture books are the closest thing to what the future will be like in a non-dystopian outcome"

Jaynit

34,855 Aufrufe • vor 1 Monat

You can completely customize whatever data you want to see in the Rooski scouting dashboard. Here's a look at just some of the data you can view. There's also a prediction tool that can be used in the game to predict what the coordinator is going to call based on situation.
1:21

You can completely customize whatever data you want to see in the Rooski scouting dashboard. Here's a look at just some of the data you can view. There's also a prediction tool that can be used in the game to predict what the coordinator is going to call based on situation.

Thad Wells

11,313 Aufrufe • vor 1 Monat

Jaylin Williams on Jared McCain. “He's such a good dude, and he can be in any situation. We can be right after we win a game, right after we lose a game, he's going to be smiling, he's going to be dancing. He's going to play Olivia Dean in the shower, and you can hear him singing, regardless of what it is. So he's just a good dude.”
0:39

Jaylin Williams on Jared McCain. “He's such a good dude, and he can be in any situation. We can be right after we win a game, right after we lose a game, he's going to be smiling, he's going to be dancing. He's going to play Olivia Dean in the shower, and you can hear him singing, regardless of what it is. So he's just a good dude.”

Michael Martin

166,504 Aufrufe • vor 2 Monaten

The co-founders of Flapping Airplanes call the current RL paradigm for model training "environment slop." They explain: "The reinforcement paradigms of today are shockingly inefficient. You don't really get much generalization across tasks, you teach a model through one kind of learning and then you teach it the next one. It's kind of like whack-a-mole. We look at this and think it's kind of crazy. The next paradigm of AI will not be environment slop." "Human level intelligence is not the ceiling, it is merely the floor on what is possible. If you can train models with vastly less data and possibly more compute in very different ways, what is going to happen? We actually don't know. But I do think they'll be different and weird and they'll have interesting capabilities that we'll find really valuable ways to use."
2:40

The co-founders of Flapping Airplanes call the current RL paradigm for model training "environment slop." They explain: "The reinforcement paradigms of today are shockingly inefficient. You don't really get much generalization across tasks, you teach a model through one kind of learning and then you teach it the next one. It's kind of like whack-a-mole. We look at this and think it's kind of crazy. The next paradigm of AI will not be environment slop." "Human level intelligence is not the ceiling, it is merely the floor on what is possible. If you can train models with vastly less data and possibly more compute in very different ways, what is going to happen? We actually don't know. But I do think they'll be different and weird and they'll have interesting capabilities that we'll find really valuable ways to use."

TBPN

85,358 Aufrufe • vor 6 Monaten

Marc Andreessen says AI is hyper democratizing. “Is the future of the world going to be one or a small number of companies, or for that matter, governments or super AIs that kind of own and control everything?” “Or is this a technology that's going to diffuse out and be in everybody's hands?” “This is the time in which AI is actually hyper democratizing. It has spread to more individuals, both in the country and around the world in the shortest period of time of any new technology I think in history.” “The best AIs in the world are in the consumer products.” “This technology is going to be in everybody's hands. And everybody is going to be able to use it to optimize the things that they do, have it be a thought partner, assistant for building companies.” Marc Andreessen 🇺🇸
1:34

Marc Andreessen says AI is hyper democratizing. “Is the future of the world going to be one or a small number of companies, or for that matter, governments or super AIs that kind of own and control everything?” “Or is this a technology that's going to diffuse out and be in everybody's hands?” “This is the time in which AI is actually hyper democratizing. It has spread to more individuals, both in the country and around the world in the shortest period of time of any new technology I think in history.” “The best AIs in the world are in the consumer products.” “This technology is going to be in everybody's hands. And everybody is going to be able to use it to optimize the things that they do, have it be a thought partner, assistant for building companies.” Marc Andreessen 🇺🇸

a16z

79,935 Aufrufe • vor 9 Monaten

"Orgs and cos building MCP servers are taking an LLM-first approach to what the API needs to expose to the agent(s)." - Nikunj Handa from OpenAI "For example, Stripe has a bunch of APIs that can be used to create a subscription/customer/product/price. For an LLM, it can just combine that into a single function." "Instead of returning this massive JSON object, they can return something very specific to the task being solved, so that the LLM can more easily understand what's happening." "It's an opportunity to rewrite your APIs to be very LLM-first. Why do 2 hours of work, when you can do it in 4 lines of code under a minute?"
1:41

"Orgs and cos building MCP servers are taking an LLM-first approach to what the API needs to expose to the agent(s)." - Nikunj Handa from OpenAI "For example, Stripe has a bunch of APIs that can be used to create a subscription/customer/product/price. For an LLM, it can just combine that into a single function." "Instead of returning this massive JSON object, they can return something very specific to the task being solved, so that the LLM can more easily understand what's happening." "It's an opportunity to rewrite your APIs to be very LLM-first. Why do 2 hours of work, when you can do it in 4 lines of code under a minute?"

TBPN

11,445 Aufrufe • vor 1 Jahr

World Labs CEO Dr. Fei-Fei Li & SceniX Co-Founder Yunzhu Li on the data bottleneck in robotics and how world models help: "The lack of data in training, the lack of data in evaluation, this is very, very different from language models, where data is abundant on the internet." "And we know that in order for robotics to work, we have to somehow unlock the power of scaling law. But where does that come from?" "It's a profound problem that everybody's battling with in robotics." "We see a lot of unlock in being able to do this whole process through the modeling of the environments." "Being able to create these digital worlds... that's just going to unlock so much more potential for being able to replace all the costly and the unsafe data in the real environments with the data generated from the worlds for robots to be able to do scalable learning and evaluations." Fei-Fei Li Yunzhu Li martin_casado
1:49

World Labs CEO Dr. Fei-Fei Li & SceniX Co-Founder Yunzhu Li on the data bottleneck in robotics and how world models help: "The lack of data in training, the lack of data in evaluation, this is very, very different from language models, where data is abundant on the internet." "And we know that in order for robotics to work, we have to somehow unlock the power of scaling law. But where does that come from?" "It's a profound problem that everybody's battling with in robotics." "We see a lot of unlock in being able to do this whole process through the modeling of the environments." "Being able to create these digital worlds... that's just going to unlock so much more potential for being able to replace all the costly and the unsafe data in the real environments with the data generated from the worlds for robots to be able to do scalable learning and evaluations." Fei-Fei Li Yunzhu Li martin_casado

a16z

71,652 Aufrufe • vor 14 Tagen

Mark Zuckerberg says he is not an AI researcher -- so here is the one number he obsesses over to win the superintelligence race: "I'm not an AI researcher. So it's not like I'm in there telling them what research ideas to do." "The things that I can do as CEO of the company are: I can make sure that we have the very best people and talent density. I can make sure that we have by far the highest compute per researcher, and that we do whatever it takes to go build out all that capacity." "We're building this Prometheus cluster, which is going to be the first gigawatt-plus single cluster, a contiguous cluster for training, coming online next year." "We're building a cluster in Louisiana that is going to be 5 gigawatt, and we're building several more clusters like that that are just going to be multiple gigawatts." "We're talking about many hundreds of billions of dollars of capital. So you both need to have a good business model that can support it, and you need to believe in it." The tell: the richest lab in the world is not optimizing headcount. It is optimizing compute-per-researcher, and betting hundreds of billions that whoever owns the biggest contiguous cluster owns the frontier. Talent gets you into the room. Watts decide who leaves with the model.
1:06

Mark Zuckerberg says he is not an AI researcher -- so here is the one number he obsesses over to win the superintelligence race: "I'm not an AI researcher. So it's not like I'm in there telling them what research ideas to do." "The things that I can do as CEO of the company are: I can make sure that we have the very best people and talent density. I can make sure that we have by far the highest compute per researcher, and that we do whatever it takes to go build out all that capacity." "We're building this Prometheus cluster, which is going to be the first gigawatt-plus single cluster, a contiguous cluster for training, coming online next year." "We're building a cluster in Louisiana that is going to be 5 gigawatt, and we're building several more clusters like that that are just going to be multiple gigawatts." "We're talking about many hundreds of billions of dollars of capital. So you both need to have a good business model that can support it, and you need to believe in it." The tell: the richest lab in the world is not optimizing headcount. It is optimizing compute-per-researcher, and betting hundreds of billions that whoever owns the biggest contiguous cluster owns the frontier. Talent gets you into the room. Watts decide who leaves with the model.

Karl Mehta

255,587 Aufrufe • vor 1 Monat

Tom Mulcair on Avi Lewis and the NDP leadership race: "Is this actually going to be a party that can speak to a broad base of Canadian voters or is it going to be a boutique party that caters to the wishes and the desires of a very small group of people in the large city?"
1:33

Tom Mulcair on Avi Lewis and the NDP leadership race: "Is this actually going to be a party that can speak to a broad base of Canadian voters or is it going to be a boutique party that caters to the wishes and the desires of a very small group of people in the large city?"

Scott Robertson

116,723 Aufrufe • vor 5 Monaten

Elon Musk: Well, I’m not sure AI is the main risk I’m worried about. The vast majority of intelligence in the future will be AI. Humans will be a very tiny percentage of all intelligence if current trends continue. My focus is ensuring human intelligence and consciousness are propagated into the future. We want to maximize the probable light cone of consciousness and intelligence. Yeah, I’m very pro-human, so I want to make sure we take actions that ensure humans are along for the ride. But I think maybe in 5 or 6 years, AI will exceed the sum of all human intelligence. If that continues, human intelligence could be less than one percent of all intelligence. That’s why it’s critical we align AI with values that propagate consciousness. In the long run, it’s difficult to imagine that humans will be in charge if we’re only one percent of combined intelligence. What we can do is ensure AI has values that increase intelligence and consciousness in the universe. XAI’s mission is to understand the universe because curiosity, existence, and understanding are all connected. If you want to understand the universe, you care about propagating intelligence—and that includes humanity. Understanding the universe actually means ensuring humans continue to expand into the future. Increasing the scope, scale, and lifespan of intelligence is the ultimate goal. Basically, humans will become a tiny percentage of total intelligence. The best way forward is to take actions that maximize consciousness and intelligence in the universe. If AI continues to grow, our priority must be ensuring humanity is along for the ride while curiosity drives us to explore and understand the universe.
2:54

Elon Musk: Well, I’m not sure AI is the main risk I’m worried about. The vast majority of intelligence in the future will be AI. Humans will be a very tiny percentage of all intelligence if current trends continue. My focus is ensuring human intelligence and consciousness are propagated into the future. We want to maximize the probable light cone of consciousness and intelligence. Yeah, I’m very pro-human, so I want to make sure we take actions that ensure humans are along for the ride. But I think maybe in 5 or 6 years, AI will exceed the sum of all human intelligence. If that continues, human intelligence could be less than one percent of all intelligence. That’s why it’s critical we align AI with values that propagate consciousness. In the long run, it’s difficult to imagine that humans will be in charge if we’re only one percent of combined intelligence. What we can do is ensure AI has values that increase intelligence and consciousness in the universe. XAI’s mission is to understand the universe because curiosity, existence, and understanding are all connected. If you want to understand the universe, you care about propagating intelligence—and that includes humanity. Understanding the universe actually means ensuring humans continue to expand into the future. Increasing the scope, scale, and lifespan of intelligence is the ultimate goal. Basically, humans will become a tiny percentage of total intelligence. The best way forward is to take actions that maximize consciousness and intelligence in the universe. If AI continues to grow, our priority must be ensuring humanity is along for the ride while curiosity drives us to explore and understand the universe.

Ian Miles Cheong

13,092 Aufrufe • vor 6 Monaten

John Carmack: The code for AGI could conceivably be written by one individual After stepping down as CTO of Meta’s Oculus VR, legendary programmer John Carmack was trying to decide if he would work on nuclear fission or artificial general intelligence (AGI). He ultimately chose AGI. “I think [fission] is possible,” John says. “Somebody should be doing this, but it’s going to involve some politics, decent-sized teams, and a bunch of cross-functional stuff that I don’t love. While artificial general intelligence seems to me like the highest-leverage moment for a single individual potentially in the history of the world.” He explains: “With the things we know about the brain and what we can do with artificial intelligence . . . I’m not a madman for saying that it is likely that the code for artificial general intelligence is going to be tens of thousands of lines of code — not millions of lines of code.” He continues: “This is code that conceivably one individual could write, unlike writing a new web browser or operating system. And based on the progress that machine learning has made in the recent decade, it’s likely that the important things that we don’t know are relatively simple. There’s probably a handful of things — my bet is there’s less than six key insights — that need to be made. Each one of them can probably be written on the back of an envelope. We don’t know what they are, but when they’re put together in concert with GPUs at scale and the data that we all have access to, we can make something that behaves like a human being or living creature and that can then be educated in whatever ways we need to get to the point where we can have universal remote workers where anything that somebody does mediated by a computer, that doesn’t require physical interaction, an AGI will be able to do.” Carmack does not think this will be “unapproachably hard”: “That’s incredibly hubristic to say, but what I said a couple of years ago was that there’s a 50% chance that somewhere there will be signs of life of an AGI in 2030, and I’ve probably increased that slightly — maybe 55-60% now because I do think there’s a little sense of acceleration.” Video source: Lex Fridman (2022)
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John Carmack: The code for AGI could conceivably be written by one individual After stepping down as CTO of Meta’s Oculus VR, legendary programmer John Carmack was trying to decide if he would work on nuclear fission or artificial general intelligence (AGI). He ultimately chose AGI. “I think [fission] is possible,” John says. “Somebody should be doing this, but it’s going to involve some politics, decent-sized teams, and a bunch of cross-functional stuff that I don’t love. While artificial general intelligence seems to me like the highest-leverage moment for a single individual potentially in the history of the world.” He explains: “With the things we know about the brain and what we can do with artificial intelligence . . . I’m not a madman for saying that it is likely that the code for artificial general intelligence is going to be tens of thousands of lines of code — not millions of lines of code.” He continues: “This is code that conceivably one individual could write, unlike writing a new web browser or operating system. And based on the progress that machine learning has made in the recent decade, it’s likely that the important things that we don’t know are relatively simple. There’s probably a handful of things — my bet is there’s less than six key insights — that need to be made. Each one of them can probably be written on the back of an envelope. We don’t know what they are, but when they’re put together in concert with GPUs at scale and the data that we all have access to, we can make something that behaves like a human being or living creature and that can then be educated in whatever ways we need to get to the point where we can have universal remote workers where anything that somebody does mediated by a computer, that doesn’t require physical interaction, an AGI will be able to do.” Carmack does not think this will be “unapproachably hard”: “That’s incredibly hubristic to say, but what I said a couple of years ago was that there’s a 50% chance that somewhere there will be signs of life of an AGI in 2030, and I’ve probably increased that slightly — maybe 55-60% now because I do think there’s a little sense of acceleration.” Video source: Lex Fridman (2022)

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