The Future of AI Research: With Guests Joelle Pineau and Yann LeCun
Dec 5, 2023
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Host Boz talks to Meta's VP of AI Research Joelle Pineau and Chief AI Scientist Yann LeCun about FAIR, Meta's Fundamental AI Research Lab, and the importance of open research and collaboration. They discuss the limitations of current AI systems, theory of mind and world models in AI research, the concept of consciousness, and their online presence on different social media platforms.
Open research and collaboration are crucial for advancing AI technology and accelerating progress in the field.
AI systems need to develop a theory of mind and understand the world to perform intelligent and goal-driven actions.
Large language models will have a significant impact in the next few years, aiding in tasks like integrity and harmful content detection, and will serve as a repository of human knowledge and culture.
Deep dives
AI researchers Joelle Pinot and Jan LeCun discuss their work at FAIR
Joelle Pinot and Jan LeCun, two prominent figures in the field of artificial intelligence, discuss their work at FAIR (Facebook AI Research). They emphasize the importance of open research and collaboration in advancing AI technology. They predict that within a couple of years, large language models will have a significant impact behind the scenes, aiding in tasks like integrity and harmful content detection. They also discuss the need for AI systems to develop a theory of mind and understand the world around them, leading to more intelligent and goal-driven actions. However, they believe that the current generation of large language models will be replaced by more advanced systems within the next decade.
FAIR's commitment to open research and long-term vision
FAIR's dedication to open research is highlighted, with mention of their contributions to major open-source projects like PyTorch. They emphasize the importance of sharing results, collaborating with universities, and promoting diverse and open research to accelerate progress in AI. They also discuss the need for a long-term vision in AI research and the unpredictable nature of progress. The podcast hosts express their optimism about the future, emphasizing the exciting potential of AI advancements in the next 10 years.
The limitations of current AI technology and the need for improvement
The speakers acknowledge that current AI technology, including large language models, has limitations and is not capable of understanding and planning actions like humans do. They stress the need for AI systems to develop the ability to understand the world, plan actions, and fulfill goals. They also discuss the importance of collaboration and the influence of open research in accelerating progress in AI. They predict that significant advancements in AI will require models that can reason, plan, and have a better understanding of the physical world.
The potential impact of large language models in the next couple of years
In the next couple of years, large language models are expected to have a significant impact, particularly in areas like multi-modality and information systems. The speakers believe that these models will continue to improve and assist in various tasks, such as language processing, writing aids, and dialogue systems. They mention the value of open-source foundation models and their potential to become the repository of human knowledge and culture. These models are expected to enhance user experience and provide valuable assistance in daily lives.
The nature of consciousness in artificial intelligences
The speakers express their thoughts on consciousness in AI systems, with a consensus that consciousness is an illusion or a description rather than a prescriptive quality. They discuss the theory of mind and the concept of a world model as essential components for future AI systems. While acknowledging the complexity of consciousness, they focus on the need for AI models to have a state or awareness of context to make predictions and decisions. They underline the importance of further research and advancements in understanding the nature of consciousness in both humans and AI.
In Boz To The Future’s sixteenth episode, Meta CTO and Head of Reality Labs Andrew “Boz” Bosworth talks to Meta’s VP of AI Research Joelle Pineau and Chief AI Scientist Yann LeCun about FAIR, Meta’s Fundamental AI Research Lab, and the future ahead. Now in its tenth year, FAIR celebrates a decade of significant breakthroughs and contributions to the AI community, thanks to Meta’s continued commitment to open research and science.
They talk about how some of this early work laid the foundation for the progress we’re seeing today and why it’s important to take a long view of things given how unpredictable this progress can be.
For feedback and suggestions, drop Boz a message @boztank on Instagram, Threads, or Twitter.
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