Why Meta Wants To Build Artificial General Intelligence — With Joelle Pineau
Jan 24, 2024
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Joelle Pineau, Head of Meta's AI Research division, discusses Meta's pursuit of Artificial General Intelligence, advancements in AI research, concerns and challenges in AGI production, the gap between current AI capabilities and future potential, and progress in video generation. They also explore the effectiveness of NVIDIA GPUs in AI progress.
Meta is actively pursuing the development of human-level artificial intelligence, emphasizing the significance of this goal and how it drives their research and development.
Meta's decision to open source its large-language models allows for greater collaboration and innovation, aligning with their commitment to openness and sharing advancements with the wider community.
Deep dives
The Pursuit of Human-Level Artificial Intelligence
In this podcast episode, the head of Metas AI Research Division discusses the company's pursuit of human-level artificial intelligence. They highlight the significance of this goal and how it drives their research and development. The podcast explores the cutting edge of AI and the advancements being made in the field.
Open Sourcing Large-Language Models
Another key point discussed in the podcast is Metas decision to open source its large-language models. The speaker explains that this move allows for greater collaboration and innovation, as more researchers and developers can access and build upon the models. This aligns with Metas commitment to openness and sharing advancements with the wider community.
The Progress and Challenges in AI Research
The podcast delves into the progress made in AI research since previous discussions on topics like AI sentience. The speaker emphasizes the surprising advancements in deep understanding, multimodal data processing, and safety concerns. They highlight the increasing understanding of the real problems that need addressing. The discussion also touches on the reassessment of the timeline for achieving general intelligence and the implications for product development.
Meta's Approach to General Intelligence
The podcast explores Meta's approach to building for artificial general intelligence (AGI) and the importance of this goal for the company. The speaker explains that Meta believes building general intelligence is crucial not only for pushing the boundaries of AI but also for improving their existing products. The focus is on developing models that have a deep understanding of information and can align with human values and needs. The discussion emphasizes the ongoing exploration of different paths and the collaborative nature of AGI development.
Joelle Pineau is the head of Meta's AI Research division. She joins Big Technology Podcast to discuss the company's recent proclamation that it intends to build Artificial General Intelligence, digging into how we get there and why it feels it must. In a wide-ranging discussion, we cover the latest research trends, the company's open-source practices, what actual products developers have been built with AI, video generation, and the reasons why NVIDIA chips are so in demand. Tune in for a deep dive into the world's most crucial technology from someone directing one of its most important research labs.
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