Reinforcement Learning, Fast and Slow
Explores recent advancements in deep reinforcement learning, discussing techniques for faster learning and their potential implications for cognitive science and neuroscience.
Why AI is Harder Than We Think
Explore AI's challenges and misconceptions with Melanie Mitchell, delving into fallacies, overconfident predictions, and the complexities of intelligence. Gain insights on creating more robust, general, and adaptable AI systems.
Desires and Diversions - Allen Newell's Retrospective on Scientific Pursuits
Explore Allen Newell's scientific journey, insights on problem-solving, and reflections on his groundbreaking work in artificial intelligence and cognitive psychology.
How Brain Computations Can Inspire New Paths in AI - Part 2
Explore brain-inspired AI advancements, focusing on object recognition, contextual reasoning, and model performance. Gain insights into cutting-edge computational approaches and their applications.
Can Machines Think Like Humans? - Dr Mateja Jamnik
Explore the fascinating question of machine cognition and its comparison to human thought processes in this engaging seminar by Dr Mateja Jamnik from the Alan Turing Institute.
What Can Theoretical Computer Science Contribute to the Discussion of Consciousness
Explore the intersection of theoretical computer science and consciousness, examining potential insights and contributions to this complex philosophical debate.
AI and Algorithmic Decision Making: Human Intuition vs Machine Capabilities
Explore AI's role in decision-making with Ray Dalio and Garry Kasparov, discussing its potential and limitations compared to human intuition in various domains.
Predictions About Artificial Super Intelligence - Theoretical Limits and Capabilities
Explore theoretical limits and cutting-edge capabilities in AI, quantum computing, and more. Delve into concepts like the Landauer Limit, universal computation, and optimal intelligence to understand the future of machine cognition.
Understanding Lower-Level Intelligence from AI, Psychology, and Neuroscience Perspectives
Explore lower-level intelligence through AI, psychology, and neuroscience perspectives with insights from three experts in a concise, multi-disciplinary discussion.
Physical Problem-Solving in Minds and Machines
Explore cognitive and machine models for flexible physical problem-solving, focusing on object factorization, relations, and physics to enhance efficiency and generalization in AI and natural intelligence.
A Multimodal Automated Interpretability Agent - Understanding Lower-Level Intelligence
Explore a multimodal AI agent for automated interpretability, bridging AI, psychology, and neuroscience to understand lower-level intelligence.
AI with a Human Perspective - What We See and What We Value
Explore AI's evolution in visual intelligence, from neuroscience-inspired algorithms to addressing ethical concerns and developing human-centered applications in healthcare and robotics.
Artificial Intelligence: A Guide for Thinking Humans - Interview with Melanie Mitchell
Explore AI's current state and future potential with Melanie Mitchell, discussing conceptual abstraction, analogy-making, and the challenges in developing human-like artificial intelligence.
The Problem with Human Specialness in the Age of AI
Scott Aaronson challenges human exceptionalism in the AI era, exploring implications for intelligence, creativity, and our relationship with technology. He invites a reevaluation of narratives shaping our future.
Generative AI vs AGI - Strengths and Weaknesses of Large Language Models
Explore AI frontiers with Dr. Ben Goertzel, comparing LLMs to human intelligence and AGI. Learn about integrating LLMs with advanced tools for enhanced analytics and reasoning, and gain insights into AI's future potential and limitations.
Navigating Forgetfulness and Intelligence in AI
Explore AI's memory dynamics, learning challenges, and the interplay between forgetfulness and intelligence. Gain insights into how AI systems remember, forget, and process information over time.
Memory, Intelligence, Autonomy, Truth and Machines
Exploring human memory's unique qualities compared to machines, Dr. Karachalios discusses intelligence, autonomy, and truth in the context of advancing technology and ethical considerations.
Artificial Intelligence Becomes Natural - Exploring AI's Potential Beyond Human Limitations
Explore the potential of AI beyond human capabilities, its similarities to human intelligence, and its role as an assistant for meaningful tasks, presented by researcher Noémi Éltető.
Artificial Intelligence: A Guide for Thinking Humans - Interview with Melanie Mitchell
Explore AI's current state and future potential with Melanie Mitchell, discussing conceptual abstraction, analogy-making, and the challenges in developing human-like artificial intelligence.
Why a Forefather of AI Fears the Future
Renowned AI pioneer explores potential futures with advanced AI, discussing implications and concerns for humanity's trajectory in a world of increasingly sophisticated mechanical minds.
Magic and Wonder in the Age of AI
Magician David Kwong demonstrates how AI enhances our capacity for wonder, using ChatGPT in a mind-reading performance to show technology's role in elevating magical experiences and human awe.