Published Nov 20, 2022

#81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]

Join professors Julian Togelius and Ken Stanley as they delve into the creative potential of AI in gaming, explore challenges in open-ended learning and reinforcement learning, and debate futuristic AI concepts like artificial general intelligence and self-evolving game worlds.

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Dexa/Machine Learning Street Talk (MLST)

#81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]

Topics covered

Popular Clips

Emergence in Machine Learning

AI in Gaming

Defining Intelligence

Evolution of Complexity

Evolutionary Algorithms vs. Gradient Descent

Diverse AI Solutions

Evolutionary Algorithms vs. Gradient Methods

Ecosystem Complexity

AI Vision Quest

Machine Creativity

Neural Network Architectures

Creativity in Problem Solving

Population Intelligence

Self-Improving AGI Debate

Episode Highlights

AI in Gaming

Creativity and Open-Endedness

Reinforcement Learning Challenges

Defining Intelligence

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#72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]

#034 Eray Özkural- AGI, Simulations & Safety

#111 - AI moratorium, Eliezer Yudkowsky, AGI risk etc

#58 Dr. Ben Goertzel - Artificial General Intelligence

#95 - Prof. IRINA RISH - AGI, Complex Systems, Transhumanism

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Gary Marcus' keynote at AGI-24

#57 - Prof. Melanie Mitchell - Why AI is harder than we think

Jurgen Schmidhuber on Humans co-existing with AIs

#65 Prof. PEDRO DOMINGOS [Unplugged]

[NO MUSIC] #98 - Prof. LUCIANO FLORIDI - ChatGPT, Singularitarians, Ethics, Philosophy of Information

Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs

Ben Goertzel on "Superintelligence"

#94 - ALAN CHAN - AI Alignment and Governance #NEURIPS

Joscha Bach - AGI24 Keynote (Cyberanimism)

#81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]

Topics covered

Popular Clips

Episode Highlights

AI in GamingProfessors Julian Togelius and Ken Stanley explore the intersection of AI and gaming, discussing both current applications and future potential. They share insights on game testing, procedural content generation, and visionary ideas for self-creating game environments.

AI in Gaming

Creativity and Open-EndednessProfessors Julian Togelius and Ken Stanley explore the intersection of AI, creativity, and open-ended learning. They discuss how AI can contribute to culture and the challenges of designing intelligent systems that evolve in complex environments.

Creativity and Open-Endedness

Reinforcement Learning Challenges

Defining Intelligence

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