Anna Lembke, MD, author of the New York Times bestseller Dopamine Nation: Finding Balance in the Age of Indulgence, joins Robb and Josh for a discussion about the perils and promise of AI. As a psychiatrist and Chief of the Stanford Addiction Medicine Dual Diagnosis Clinic at Stanford University, Dr. Lembke shares critical insights into the power and nature of behavioral addiction, and how technology and digital media are impacting the dopamine systems in our brains. Drawing from her experience with patients, she shares the concept of radical honesty—a cornerstone of addiction recovery. Together, they explore how radically honest AI could pose less of a threat and help establish healthier boundaries around technology use.

In this episode, we mention:

1. Dr. Anna Lemble’s book “Dopamine Nation: Finding Balance in the Age of Indulgence”: https://www.amazon.com/Dopamine-Nation-Finding-Balance-Indulgence/dp/152474672X
2. The forthcoming revised and updated 2nd edition of Robb Willson and Josh Tyson’s bestselling book, “Age of Invisible Machines: A Practical Guide to Creating a Hyperautomated Ecosystem of Intelligent Digital Workers”: https://www.amazon.com/Age-Invisible-Machines-Orchestrating-Organizations/dp/1394321554
3. Dr. Anna Lembke’s “The Official Dopamine Nation Workbook: A Practical Guide to Finding Balance in the Age of Indulgence”: https://www.amazon.com/Official-Dopamine-Nation-Workbook-Indulgence/dp/0593476212?sr=1-1
4. Pew Research Center survey of U.S. teens ages 13 to 17 conducted Sept. 18-Oct.10, 2024: "Teens, Social Media, and Technology 2024": https://www.pewresearch.org/internet/2024/12/12/teens-social-media-and-technology-2024/

Learn about creating and orchestrating AI agents for your team:

https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_episode_with_anna_lembke&utm_content=1

#AI

#AIPodcast

#TechPodcast

#InvisibleMachines

#ArtificialIntelligence

#AIAgents

#AgenticAI

#TechInnovation

#DopamineNation

#RadicalHonesty

#DigitalAddiction

#MentalHealth

#TechImpact

#BehavioralScience

#Dopamine

#AnnaLembke

Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The free energy principle describes systems that pursue paths of least surprise, minimizing the difference between predictions based on their model of the world and their sense and associated perception.

Dr. Thomas Parr is a practicing clinician and prominent researcher in the field of theoretical neuroscience and he currently works as an NIHR Academic Clinical Fellow in Neurology at the University of Oxford’s Nuffield Department of Clinical Neurosciences. He is also a co-author of Active Inference: The Free Energy Principle in Mind, Brain, and Behavior, written in collaboration with Giovanni Pezzulo and Karl J. Friston.



In this episode, we mention:

• Thomas Parr’s book “Active Inference: The Free Energy Principle in Mind, Brain, and Behavior (co-written with Giovanni Pezzulo and Karl J. Friston): https://www.penguinrandomhouse.com/books/704196/active-inference-by-thomas-parr-giovanni-pezzulo-and-karl-j-friston/
• Troxler's fading: https://en.wikipedia.org/wiki/Troxler%27s_fading
• The Invisible Machines episode “Digital Natives Are Now AI Immigrants” with Marc Prensky: https://youtu.be/CAKumte_JP8?si=OxPKZbRKIegEjBvh
• Landauer's principle: https://en.wikipedia.org/wiki/Landauer%27s_principle

Learn about orchestrating AI agents for your team:

https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_episode_with_thomas_parr&utm_content=1

#aipodcast

#techpodcast

#invisiblemachines

#ai

#artificialintelligence

#aiagents

#agenticai

#techinnovation

#neuroscience

#activeinference

#machinelearning

#congitivescience

#behavioralscience

#futureofai

#neuroai

#thinkingmachines

Despite being a massive piece of the bigger AI puzzle, computer vision doesn’t always get the recognition it deserves. Robb and Josh welcome Dr. Jason Corso, Professor of Robotics at University of Michigan for an In Action episode that explores the complexity and power of machines that can see.

Jason is the Co-Founder and Chief Science Officer of Voxel51, which is backed by Bessemer Venture Partners, and in this episode he demonstrates open-source tools available for working with massive datasets that include images and videos. The trio also discuss the border implication of adding the context that vision can afford to multi-agent systems.

Explore Dr. Jason Corso’s Voxel51 platform: https://voxel51.com/

• FiftyOne Open Source: Voxel51's open source toolkit for building high-quality datasets and computer vision models.
• FiftyOne Teams: Voxel51’s commercial offering based on open source FiftyOne.
• People can try FiftyOne at try.fiftyone.ai.
• Voxel51 on Github: https://github.com/voxel51/fiftyone
• A course on Coursera that Voxel51 created called "Hands-on Data Centric Visual AI" — https://www.coursera.org/learn/hands-on-data-centric-visual-ai

Learn about orchestrating AI agents for your team:

AI agent landing page with the whitepaper: https://onereach.ai/ai-agents/?utm_source=soundcloud+&utm_medium=social&utm_campaign=computer_vision_in_action_episode&utm_content=1

Learn about the only tools for orchestrating AI agents that are named a leader by all major analyst firmsAI agent landing page (dev): https://aiagents.onereach.ai/?utm_source=soundcloud&utm_medium=social&utm_campaign=computer_vision_in_action_episode&utm_content=1

#AIPodcast

#TechPodcast

#InvisibleMachines

#AI

#ArtificialIntelligence

#AIAgents

#AgenticAI

#ComputerVision

#MultiAgentSystems

#DataScience

#TechInnovation

#AIinAction

#GenerativeAI

#NoCode

#Automation

#DigitalTransformation

#AITech