The $1 TRILLION Artificial Intelligence Problem | Summary and Q&A

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May 6, 2020
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Garry Tan
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The $1 TRILLION Artificial Intelligence Problem

TL;DR

Machines will soon possess Artificial General Intelligence (AGI), as Vicarious' machine learning technology mimics the computational principles of the human brain.

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Key Insights

  • šŸ§ The current debate on artificial intelligence and AGI stems from long-standing philosophical and psychological arguments about innate capabilities versus learned behaviors.
  • šŸ„ŗ The recent focus on deep learning and large data sets has led to significant progress in AI, but there is a need to incorporate innate structures and models of the world into AI architectures.
  • šŸ’¦ Vicarious is working towards AGI by combining biology-inspired and structure-dependent models to bridge the gap between current AI systems and the abilities of humans.
  • šŸ˜Œ The success of companies like Amazon, SpaceX, and Coinbase lies in their ability to start with a specific goal and gradually expand their capabilities and services.
  • šŸ’ Building startups and core technologies requires determination, resilience, and a commitment to providing the most significant gift to society based on one's unique interests and abilities.

Transcript

Can machines really think? Even the scientists argue that one. I'm convinced machines can and will think in our lifetimes. I confidently expect that within a matter of ten or fifteen years something will emerge from the laboratory which is not too far from the robot of science fiction fame. Can a computer be as smart as a human? Today we're sittin... Read More

Questions & Answers

Q: Can machines achieve the same level of intelligence as humans?

Vicarious believes that with the right computational principles and advancements in technology, machines can develop Artificial General Intelligence that is comparable to human intelligence.

Q: How does Vicarious approach building AGI compared to other AI research?

Vicarious focuses on building AGI that is embodied in a robot, subject to real-world constraints and the same cognitive capabilities as humans. This approach aims to match the abilities and problem-solving methods of humans.

Q: What are the limitations of current deep learning models?

Current deep learning models lack a true understanding or model of the world, relying on large data sets to produce intelligent behavior. In contrast, humans possess an innate model of the world that allows them to solve abstract problems and think creatively.

Q: How does Vicarious' machine learning technology differ from traditional robotics approaches?

Vicarious aims to make robotics more accessible and flexible by providing robotic labor as a service. By leveraging their comprehensive AI layer, Vicarious can create robots that can perform a wide range of tasks efficiently and economically.

Q: Can machines achieve the same level of intelligence as humans?

Vicarious believes that with the right computational principles and advancements in technology, machines can develop Artificial General Intelligence that is comparable to human intelligence.

More Insights

  • The current debate on artificial intelligence and AGI stems from long-standing philosophical and psychological arguments about innate capabilities versus learned behaviors.

  • The recent focus on deep learning and large data sets has led to significant progress in AI, but there is a need to incorporate innate structures and models of the world into AI architectures.

  • Vicarious is working towards AGI by combining biology-inspired and structure-dependent models to bridge the gap between current AI systems and the abilities of humans.

  • The success of companies like Amazon, SpaceX, and Coinbase lies in their ability to start with a specific goal and gradually expand their capabilities and services.

  • Building startups and core technologies requires determination, resilience, and a commitment to providing the most significant gift to society based on one's unique interests and abilities.

  • AGI will revolutionize various industries, including robotics, by enabling machines to program themselves and perform complex tasks without extensive coding or customization.

Summary

In this video, Gary Tan interviews Scott Phoenix, the founder of Vicarious, a company working on Artificial General Intelligence (AGI). They discuss the possibilities of AGI, the current state of AI, and the approach of Vicarious in building human-like intelligence.

Questions & Answers

Q: Can machines really think?

Machines have the potential to think, and AI researchers are working towards creating machines that can exhibit human-like intelligence. Scott Phoenix believes that within the next 10 to 15 years, we will see advancements in AGI that are not far from the robots depicted in science fiction.

Q: Can a computer be as smart as a human?

Scott Phoenix believes that it is possible to build an AI that is as smart as a human. He highlights that humans have been able to solve complex problems using the same hardware in our heads, and if we can develop AI systems with similar capabilities, we can address a wide range of challenges such as developing vaccines or therapies for diseases.

Q: What is the approach of Vicarious in building AGI?

Vicarious takes an embodied approach to building AGI. They start with a robot that operates in the real world and learns from its interactions with the environment. The robot experiences constraints like physics, friction, unreliable sensors, and changing circumstances, which serve as guiding constraints in building AGI that matches human capabilities.

Q: How is Vicarious' approach different from deep learning techniques?

While deep learning techniques focus on training AI systems on large datasets and simulations, Vicarious aims to develop AI systems with a model of the world. A lot of focus in AI research today is on behavior rather than what is happening inside the agent's mind. Vicarious strives to create AI systems that have a learned representation of the universe and can solve problems beyond specific tasks.

Q: How does Vicarious' learning system compare to animal intelligences?

Scott Phoenix highlights the difference between AI systems that follow hard-coded commands and those that have a model of the world like humans do. Animals like wasps or frogs may exhibit complex actions, but it's because they follow specific routines without a deeper intelligence. Humans, on the other hand, have a mental model of the world, allowing us to solve problems beyond what is directly observable.

Q: What type of learning systems does Vicarious build?

Vicarious aims to build learning systems that are hierarchical and can construct high-level concepts from lower-level ones. They draw inspiration from how humans learn and develop skills over time. The goal is to create AI systems that can reason, learn high-level concepts, and exhibit a hierarchy of representations similar to human development.

Q: How does Vicarious apply its technology to robotics?

Vicarious technology enables the deployment of robots in various tasks without the need for extensive programming or custom engineering. They provide robotic labor as a service, similar to how computers are provided as a service. Their AI layer is comprehensive, allowing them to create new applications quickly and generate value for a large customer base.

Q: Are there parallels between Vicarious' systems and self-learning machines?

Yes, Vicarious aims to develop machines that can program themselves. In their research, they have already demonstrated systems that can write their own code based on visual input. They focus on building learning systems that can learn how to learn, much like humans do.

Q: What advice would Scott Phoenix give to young builders and creators?

Scott emphasizes the importance of pursuing one's unique gifts and passions. He encourages young people to reflect on what they believe is their biggest gift to humanity and make it their life's purpose. He acknowledges that the journey will be hard and filled with setbacks but staying true to one's calling is what brings the most fulfillment.

Q: How does Vicarious balance the big picture vision with short-term economic impact?

Vicarious recognizes the importance of creating value along the way. While their long-term vision is AGI, they focus on delivering economic value to customers through their robotics technology. They aim to create immediate and tangible benefits while continuously advancing towards their long-term goals.

Takeaways

Scott Phoenix and Vicarious are working on building Artificial General Intelligence (AGI), aiming to develop machine learning systems that exhibit human-like intelligence. Their approach involves creating learning systems that have a model of the world and can reason. They emphasize the importance of understanding the limitations of current AI technologies that focus on behavior rather than what is happening inside the agent's mind. Vicarious believes in bridging the gap between current AI systems and human capabilities by incorporating innate structures and drawing inspiration from human development. They also prioritize creating economic value in the present while working towards their long-term vision of AGI.

Summary & Key Takeaways

  • Vicarious, founded by Scott Phoenix, is working on a new type of machine learning based on the computational principles of the human brain to create AGI.

  • AGI refers to machines that possess the same cognitive capabilities as humans, and the current advancements in computing power and understanding of the brain make it the right time to pursue AGI.

  • Vicarious aims to build an AGI that can solve complex problems by learning high-level concepts and reasoning, using an embodied robot with real-world constraints.

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