The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602
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Dec 5, 2022 In this insightful conversation, Jeff Clune, an Associate Professor at the University of British Columbia and a leading mind at the Vector Institute, discusses his pioneering research on AI-generating algorithms and the quest for artificial general intelligence (AGI). He shares the three pillars for achieving this goal—meta-learning architectures, algorithms, and auto-generating environments. The dialogue also tackles the ethical implications of evolving AI, the importance of safety measures, and innovative teaching techniques that could redefine AI learning in real-world applications.
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AI-Generating Algorithms and AGI
- AI-generating algorithms (AIGAs) offer a potential path to AGI by automating the creation of AI.
- This approach contrasts with the dominant paradigm of manually designing and combining AI building blocks.
The Challenge of Defining an Objective Function
- A key challenge in AIGA development is defining an appropriate objective function for general intelligence.
- This reward/loss function is crucial for guiding the system's self-improvement process.
Three Pillars of AIGAs
- AIGAs have three core pillars: meta-learning architectures, meta-learning algorithms, and auto-generating learning environments.
- These pillars enable the system to learn, adapt, and continuously improve over time.