Matt Botvinick is the Director of Neuroscience Research at DeepMind. He is a brilliant cross-disciplinary mind navigating effortlessly between cognitive psychology, computational neuroscience, and artificial intelligence. Support this podcast by supporting these sponsors: - The Jordan Harbinger Show: https://www.jordanharbinger.com/lex - Magic Spoon: https://magicspoon.com/lex and use code LEX at checkout If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. Here's the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. OUTLINE: 00:00 - Introduction 03:29 - How much of the brain do we understand? 14:26 - Psychology 22:53 - The paradox of the human brain 32:23 - Cognition is a function of the environment 39:34 - Prefrontal cortex 53:27 - Information processing in the brain 1:00:11 - Meta-reinforcement learning 1:15:18 - Dopamine 1:19:01 - Neuroscience and AI research 1:23:37 - Human side of AI 1:39:56 - Dopamine and reinforcement learning 1:53:07 - Can we create an AI that a human can love?
"Lex Friedman's conversation with Jack Barsky, author of "Deep Undercover," offers a different perspective on the Cold War era, and highlights Barsky's experience as a KGB agent."
This podcast discusses how neuroscience, cognitive science, and psychology can be viewed as one single science that explores how the brain generates behavior and understanding of raw visual information. The speakers also highlight how our knowledge of the brain's functions has advanced significantly, but there is much more to learn at the neuronal level.
The speaker discusses the appeal of understanding the mechanisms of the mind at the lowest level and the bridging of the gap between psychology and neuroscience.
The podcast host and guest discuss the impressive aspects of neuropsychology in analyzing the behavior and deficits of populations with brain damage. However, they also note limitations with the analytical approach of psychology as a whole.
The author of the article is a neuroscientist.
The ability of humans to converge towards an idea together and the study of brain damage after World War I started the quest of understanding human intelligence. It's important to pay attention to both the structure of the environment and the cognizing system when creating a human-like intelligence.
The concept of meta-learning and the possibility of underestimating animal intelligence are discussed, as well as the potential for a different understanding of neuronal communication in the brain.
The concept of meta-learning now gets expanded upon by looking into the idea of meta, meta, meta learning with the ability to continually build stacks of learning to learn complex rules at a deeper level. This slow learning algorithm is changing the dynamics of a network and becoming its own learning algorithm.
Combining expertise in neuroscience with artificial intelligence can lead to more effective development of human-robot interaction technologies. While some researchers specialize in only one field, the most successful outcomes arise from collaboration and cross-disciplinary knowledge.
The common narrative of humans gaining more wisdom and becoming more benevolent as they gain more information about human life overlooks the complexities of human wants and the difficulties in knowing what people actually want. Navigating these challenges is crucial in the development of artificial intelligence and understanding the meaning of life.
The speaker advocates for the use of AI to make the world a better place by highlighting applications in science like protein folding. They discuss the need to consider human values when building AGI systems that would eventually be able to do what they want.
Researchers hope that the intersection of AI and neuroscience could create a new era in the study of the structure of behavior and its underlying substrates, which would be informed by the computational mechanisms that AI is bringing to researchers' attention.
The problem with creating AI with emotional intelligence is that we don't yet fully understand what that means or how to engineer it. It's difficult to create an AGI system that can display compassionate behavior that humans will truly resonate with, and we're not sure if we'll ever be able to fully replicate this aspect of humanity.
Neurologist V. S. Sumachandran reflects on the awe-inspiring fact that the human brain, made up of atoms forged in far-flung stars billions of years ago, has the ability to contemplate its own place in the cosmos and wonder about its own ability to think, making the universe conscious of itself.