We're excited to welcome Tyler Marghetis, Assistant Professor of Cognitive & Information Sciences at the University of California, Merced, to the show today. Tyler studies what he calls the "lulls and leaps" or "ruts and ruptures" of human imagination and experience.

He's fascinated by how we as humans can get stuck in certain patterns of thinking and acting, but then also occasionally experience radical transformations in our perspectives. In our conversation, Tyler shares with us some of his lab's fascinating research into understanding and even predicting these creative breakthroughs and paradigm shifts. You'll hear about how he's using AI tools to analyze patterns in things like Picasso's entire body of work over his career. Tyler explains why he believes isolation and slowness are actually key ingredients for enabling many of history's greatest creative leaps. And he shares with us how his backgrounds in high-performance sports and in the LGBTQ community shape his inclusive approach to running his university research lab.

It's a wide-ranging and insightful discussion about the complexity of human creativity and innovation. Let's dive in to our interview with Tyler Marghetis.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Why is scientific progress slowing down? That's a question that's been on the minds of many. But before we dive into that, let's ponder this—how do we even know that scientific progress is decelerating? And in an era where machines are capable of understanding complexities that sometimes surpass human cognition, how should we approach the future of knowledge?

Joining us in this exploration is Professor James Evans from the University of Chicago. As the director of the Knowledge Lab at UChicago, Professor Evans is at the forefront of integrating machine learning into the scientific process. His work is revolutionizing how new ideas are conceived, shared, and developed, not just in science but in all knowledge and creative processes.

Our conversation today is a journey through various intriguing landscapes. We'll delve into questions like:

We're also thrilled to discuss Professor Evans' upcoming book, "Knowing," which promises to be a groundbreaking addition to our understanding of these topics.

So, whether you're a scientist, a creative, a business leader, a data scientist or just someone fascinated by the interplay of human intelligence and artificial technology, this episode is sure to offer fresh perspectives and insights.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Few understand how to anticipate major technology shifts in the enterprise better than today's guest, Ed Sim. Ed is a pioneer in the world of venture capital, specifically focusing on enterprise software and infrastructure since 1996. He founded Boldstart in 2010 to invest at the earliest stages of enterprise software companies, growing the firm from $1M to around $375M today.

So where does an experienced investor who has seen countless tech waves come and go place his bets in this new AI-first future? That’s the key topic we dive into today.

While AI forms a core part of our dialogue, Ed emphasizes that he doesn’t look at pitches and go “Oh, AI, I need to invest in that.” Rather, he tries to see if founders have identified a real pain point, have a unique approach to solving it, and can clearly articulate how they will provide a significant improvement over status quo. AI is an important component, of course, but it isn’t a reason to invest alone.

With that framing in mind, Ed shares where he is most excited to invest in light of recent generative AI breakthroughs. Unsurprisingly, AI security ranks high on his list given enterprises’ skittishness around adopting any technology that could compromise sensitive data or infrastructure. Ed saw this need early, backing a startup called Protect AI in March 2022 that focuses specifically on monitoring and certifying the security of AI systems.

The implications of AI have branched into virtually every sector, but Ed reminds us that as investors and builders, we must stay grounded in solving real problems vs just chasing the shiny new thing.

Key Points:

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

One of our research obsessions is Edge AI through which we study opportunities to build and deploy AI on a computing device at the edge of a network. The premise is that AI in the cloud benefits from scale but is challenged by cost and privacy and Edge AI solves many of these challenges by eliminating cloud computing costs and keeping data within secure environments.

Given this interest, we were excited to talk with Rodrigo Liang, the Co-Founder and CEO of SambaNova Systems which has built a platform to deliver enterprise grade chips, software, and models in a fully integrated system, purpose built for AI. In this interview, Rodrigo discusses how his company is enabling enterprises to adopt AI in a secure, customizable way that builds long-term value by building AI assets. Their full-stack solutions aim to simplify AI model building and deployment, especially by leveraging open source frameworks and using modular, fine-tuned expert models tailored to clients' private data.

Key Points:

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

One of our long-time subscribers recently said to us: “What I love about you is that you’re regularly talking about things three years ahead of everyone else.” That inspired us to look back through our catalog of conversations to see which ones we think are most relevant now.

Today, we're revisiting one of our most thought-provoking episodes, originally recorded in April 2022, featuring Barbara Tversky, the author of "Mind in Motion: How Action Shapes Thought." This episode is great way to start 2024 because we are all about to experience what are known as Large Multimodal Models or LMMs, models which go beyond text and bring in more sensory modalities including spatial information.

Tversky's insights into spatial reasoning and embodied cognition are more relevant than ever in the era of multimodal models in AI. These models, which combine text, images, and other data types, mirror our human ability to process information across various sensory inputs.

The parallels between Tversky's research and Large Multimodal Models (LMMs) in AI are striking. Just as our physical interactions with the world shape our cognitive processes, these AI models learn and adapt by integrating diverse data types, offering a more holistic understanding of the world.

Her work sheds light on how we might improve AI's ability to 'think' and 'reason' spatially, enhancing its application in fields ranging from navigation systems to virtual reality.

As we revisit our interview with Tversky, we're reminded of the importance of considering human-like spatial reasoning and embodied cognition in advancing AI technology.

Join us as we explore these intriguing concepts with Barbara Tversky, uncovering the essential role of spatial reasoning in both human cognition and artificial intelligence.

Barbara Tversky is an emerita professor of psychology at Stanford University and a professor of psychology at Teachers College at Columbia University. She is also the President of the Association for Psychological Science. Barbara has published over 200 scholarly articles about memory, spatial thinking, design, and creativity, and regularly speaks about embodied cognition at interdisciplinary conferences and workshops around the world. She lives in New York.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

In this episode, we speak with cognitive neuroscientist Stephen Fleming about theories of consciousness and how they relate to artificial intelligence. We discuss key concepts like global workspace theory, higher order theories, computational functionalism, and how neuroscience research on consciousness in humans can inform our understanding of whether machines may ever achieve consciousness. In particular, we talk with Steve about a recent ⁠research paper⁠, Consciousness in Artificial Intelligence, which he co-authored with Patrick Butlin, Robert Long, Yoshua Bengio, and several others.

Steve provides an overview of different perspectives from philosophy and psychology on what mechanisms may give rise to consciousness. He explains global and local theories, the idea of a higher order system monitoring lower level representations, and similarities and differences between human and machine intelligence. The conversation explores current limitations in neuroscience for studying consciousness empirically and opportunities for interdisciplinary collaboration between neuroscientists and AI researchers.

Key Takeaways:

⁠Stephen Fleming⁠ is Professor of Cognitive Neuroscience at the Department of Experimental Psychology, University College London. Steve’s work aims to understand the mechanisms supporting human subjective experience and metacognition by employing a combination of psychophysics, brain imaging and computational modeling. He is the author of *⁠Know Thyself*,⁠ a book on the science of metacognition, about which we interviewed him on Artificiality in December of 2021.

Episode Notes: 

2:13 - Origins of the paper Stephen co-authored on consciousness in artificial intelligence

5:17 - Discussion of demarcating intelligence vs phenomenal consciousness in AI

6:34 - Explanation of computational functionalism and mapping functions between humans and machines

13:42 - Examples of theories like global workspace theory and higher order theories

19:27 - Clarifying when sensory information reaches consciousness under global theories

23:02 - Challenges in precisely defining aspects like the global workspace computationally

28:35 - Connections between higher order theories and generative adversarial networks

30:43 - Ongoing empirical evidence still needed to test higher order theories

36:52 - Iterative process needed to update theories based on advancing neuroscience

40:40 - Open questions remaining despite foundational research on consciousness

46:14 - Mismatch between public perceptions and indicators from neuroscience theories

50:30 - Experiments probing anthropomorphism and consciousness attribution

56:17 - Surprising survey results on public views of AI experience

59:36 - Ethical issues raised if public acceptance diverges from scientific consensus

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

If you’ve used a large language model, you’ve likely had one or more moments of amazement as the tool immediately responded with impressive content from its massive data cosmos training set. But you’ve likely also had moments of confusion or disillusionment as the tool responded with irrelevant or incorrect responses, displaying a lack of reasoning.

A recent research paper from Meta caught our eye because it proposes a new mechanism called System 2 Attention which “leverages the ability of LLMs to reason in natural language and follow instructions in order to decide what to attend to.” The name System 2 is derived from the work of Daniel Kahneman who in his 2011 book, Thinking, Fast and Slow, differentiated between System 1 thinking as intuitive and near-instantaneous and System 2 thinking as slower and effortful. The Meta paper also references our friend Steven Sloman who in 1996 made the case for two systems of reasoning—associative and deliberative or rule-based.

Given our interest in the idea of LLMs being able to help people make better decisions—which often requires more deliberative thinking—we asked Steve to come back on the podcast to get his reaction to this research and generative AI in general. Yet again, we had a dynamic conversation about human cognition and modern AI, which field is learning what from the other, and a few speculations about the future. We’re grateful for Steve taking the time to talk with us again and hope that he’ll join us for a third time when his next book is released sometime in 2024.

Steven Sloman is a professor of cognitive, linguistic, and psychological sciences at Brown University where he has taught since 1992. He studies how people think, including how we think as a community, a topic he wrote a fantastic book about with Philip Fernbach called The Knowledge Illusion: Why We Never Think Alone. For more about that work, please check out our first interview with Steve from June of 2021.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

In this episode, we speak with Julia Rhodes Davis, a Senior Advisor at Data & Society, about her recent report "Advancing Racial Equity Through Technology Policy" published by the AI Now Institute. This comprehensive report provides an in-depth examination of how the technology industry impacts racial inequity and concrete policy recommendations for reform. A critical insight from the report is that advancing racial equity requires a holistic approach. The report provides policy recommendations to reform antitrust law, ensure algorithmic accountability, and support tech entrepreneurship for people of color.

In our interview, Julia explains how advancing racial equity requires policy change as well as coalition-building with impacted communities. She discusses the urgent need to reform practices of algorithmic discrimination that restrict opportunities for marginalized groups. Julia highlights some positive momentum from federal and state policy efforts and she encourages people to get involved with local organizations, providing a great list of organizations you might consider.

Links:

AI Now Institute

Advancing Racial Equity Through Technology Policy report

Algorithmic Justice League

Athena

Color of Change

Data for Black Lives

Data & Society

Media Justice

Our Data Bodies

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Grounding her work in the problem of causation, Alicia Juarrero challenges previously held beliefs that only forceful impacts are causes. Constraints, she claims, bring about effects as well, and they enable the emergence of coherence.

Alicia is the author of multiple books, most recently Context Changes Everything: How Constraints Create Coherence. Helen says in this interview that it feels like this book is from the future. It’s about using the tools of complexity science to understand identity, hierarchy, and top-down causation, and in so doing, presents a new way of thinking about the natural world but also the artificial world. In this interview, we discuss how to use concepts from complexity—including the important role of constraints—to enlighten our perspectives on the community of humans and machines.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Jai Vipra is a research fellow at the AI Now Institute where she focuses on competition issues in frontier AI models. She recently published the report Computational Power and AI which focuses on compute as a core dependency in building large-scale AI. We found this report to be an important addition to the work covering the generative AI industry because compute is incredibly important but not very well understood. In the report, Jai breaks down the key components of compute, analyzes the supply chain and competitive dynamics, and aggregates all the known economics. In this interview, we talk with Jai about the report, its implications, and her recommendations for industry and policy responses.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai