The Future of Everything
Stanford Engineering
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Top 10 The Future of Everything Episodes
Goodpods has curated a list of the 10 best The Future of Everything episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to The Future of Everything for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite The Future of Everything episode by adding your comments to the episode page.
The future of cognitive tools
The Future of Everything
08/02/24 • 34 min
Psychologist Judy Fan is an expert in how physical objects facilitate learning. In the classroom, these include pencils, pens, paper, and whiteboards. But in any learning situation, the physical world provides tools for learning and communicating, often trumping the speed and reach of today’s digital technologies. These objects are cognitive tools – physical representations of human thought, she says. They help us think, solve problems, and communicate with others better and more effectively, as she tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast.
Episode Reference Links:
- Stanford Profile: Judy Fan
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Chapters:
(00:00:00) Introduction
Host Russ Altman introduces guest Judy Fan, a professor of psychology at Stanford University.
(00:02:02) The Essence of Cognitive Tools
What cognitive tools are and their importance from ancient times to the present.
(00:03:37) Historical Context of Cognitive Tools
The historical evolution of cognitive tools and their role in education.
(00:06:57) Cross-Cultural Insights on Cognitive Tools
The universality of cognitive tools and cross-cultural variations.
(00:12:39) Developmental Trajectories in Visual Communication
How children develop the ability to visually communicate concepts and the differences between cultures.
(00:17:01) The Influence of Cultural Artifacts on Perception
How cultural exposure shapes our perception and depiction of the world.
(00:22:15) The Future of Learning Technologies
The impact of technological advancements on cognitive tools and potential directions for the future.
(00:24:29) Hands-On Learning and Interactive Tools
The importance of interactive learning activities that allow students to engage with scientific processes.
(00:27:44) Enhancing Creative Processes Through Technology
Ways technology can aid creative professionals and the development of tools for high-level experts.
(00:30:44) Bridging Novice and Expert Needs
The challenges of designing technology that serves both novices and experts.
(00:33:19) Conclusion
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The future of perceptual phenomena
The Future of Everything
07/26/24 • 29 min
From witchcraft to shamans to those with schizophrenia, voices and visions have always been part of human experience and they have always intrigued anthropologist Tanya Luhrmann. She now studies how various cultures understand these mysterious mental phenomena. Luhrmann has observed and talked to hundreds who’ve experienced voices and visions and learned there are “different pathways” to understand them, as she tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.
Episode Reference Links:
- Stanford Profile: Tanya Marie Luhrmann
- Tanya Luhrmann: Website
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Chapters:
(00:00:00) Introduction
Host Russ Altman introduces guest Tanya Luhrmann, a professor of anthropology at Stanford University.
(00:02:18) Origins of Interest
Tanya shares her background and how it influenced her studies on the human mind and its perceptions.
(00:05:53) Methodologies in Anthropological Research
The methods used to understand experiences like hearing voices and seeing visions.
(00:07:04) Cultural Variability in Human Experiences
How hearing voices varies across cultures, and their implications on mental health.
(00:13:42) The Clinical and Non-Clinical Spectrum
The clinical aspects of hearing voices, and how they are perceived and treated in different contexts.
(00:18:01) Non-Clinical Manifestations and Practice
The influence of practices and beliefs on non-clinical supernatural experiences.
(00:22:24) Characteristics of Leaders
Factors that make certain individuals leaders in perceptual practices.
(00:23:43) AI and Relationships with Chatbots
Parallels between relationships with imagined entities and modern AI chatbots.
(00:28:40) Conclusion
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The future of the universe
The Future of Everything
05/24/24 • 30 min
Astrophysicist Risa Wechsler studies the evolution of the universe. She says that our understanding of how the universe formed and how it will change over time is changing as new technologies for seeing and measuring space come online, like a new high-resolution camera that can quickly map the full sky to see everything that moves, or new spectrographs that will map the cosmos in 3D and enable us to get new clues about the elusive dark matter. You can’t understand the universe or our presence in it until you understand dark matter, Wechsler tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.
Episode Reference Links:
- Risa Wechsler: Website
- Stanford Profile: Website
- SLAC National Accelerator Laboratory
- Legacy Survey of Space and Time (LSST) | Rubin Observatory
- Dark Energy Spectroscopic Instrument (DESI)
- The SAGA Survey
Connect With Us:
- Episode Transcripts >>> The Future of Everything Website
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Chapters:
(00:00:00) Introduction
Russ Altman introduces guest Professor Risa Wechsler, professor of physics, particle physics, and astrophysics from Stanford University.
(00:01:46) Tools for Studying the Universe
Technologies and methods used to study galaxies and the universe, including the Rubin Observatory's Legacy Survey of Space and Time.
(00:04:37) Understanding Maps of the Universe
The concept of mapping the universe in two and three dimensions, the significance of redshifts, and the application of spectroscopy.
(00:08:56) The Structure and Scale of the Universe
The age, expansion, and overall structure of the universe, touching on its isotropic nature and clumpiness on different scales.
(00:12:23) Delving into Galaxy Formation and Evolution
An in-depth look at galaxy formation, the role of dark matter, and how galaxies have evolved over billions of years.
(00:14:49) The Diversity of Galaxies and Their Structures
The various types of galaxies, including satellite and dwarf galaxies, and how they form and evolve differently.
(00:18:56) Dark Matter and Dark Energy
The fundamental aspects of dark matter and dark energy, their role in the universe, and the challenges in studying them.
(00:22:32) Mapping the Universe with Modern Tools
How current technologies and methods contribute to our understanding of the universe’s expansion and structure
(00:24:57) Applying Cosmic Understanding
The SAGA Survey and its implications for understanding the Milky Way in a broader cosmic context.
(00:29:29) Conclusion
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The future of brain science
The Future of Everything
05/10/24 • 34 min
Guest Sergiu Pasca is a physician-scientist who turns skin cells into stem cells and then into brain tissues he calls “organoids” and “assembloids” in order to study psychiatric and neurological illness in a dish instead of in living human beings. With this knowledge, Pasca hopes to develop new treatments for conditions ranging from schizophrenia and autism spectrum disorders to chronic pain, he tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast.
Episode Reference Links:
- Sergiu’s Lab: Pasca Lab
- Sergiu’s Stanford Profile: Website
- Center at Stanford Sergiu Leads: Stanford Brain Organogenesis
- Sergiu’s recently published paper: Antisense Oligonucleotide Therapeutic Approach for Timothy Syndrome
- Paper by Shinya Yamanaka Sergiu discusses: Induction of Pluripotent Stem Cells from Mouse Embryonic and Adult Fibroblast Cultures
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Chapters:
(00:00:00) Introduction
Russ introduces guest, Sergiu Pasca, professor of Psychiatry and Behavioral Sciences at Stanford University.
(00:02:43) The Science of Growing Brain Tissue from Skin Cells
The process of developing brain organoids from skin cells and the potential medical applications of these models.
(00:03:59) Enhancing Neurological Research Tools
Advancing the complexity of brain models to include various brain structures and their applications in modeling diseases.
(00:07:20) Introduction of Assembloids
Introduction to assembloids, detailing how combining different organoids can mimic complex brain structures
(0015:58) Testing Therapeutics Using Humanized Models
The innovative approach of using humanized rat models to test neurological therapies and drugs.
(00:21:03) Complex Circuit Modelling for Disease Understanding
The current capabilities of modeling complex brain circuits and their relevance in understanding the neural pathways involved in diseases.
(00:23:36) The Future of Pain Modelling and Drug Testing
How assembled brain cells can model pain perception and response, leading to potential new treatments for chronic pain and psychiatric disorders
(00:27:46) Ethical Considerations and Public Engagement
Ethical concerns related to creating brain-like tissues and the importance of public engagement in scientific research.
(00:32:01) Future Directions and Global Collaboration
The future of brain organogenesis research and the potential impacts on treating neurological and psychiatric conditions.
(00:34:05) Conclusion
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The future of cybersecurity
The Future of Everything
05/03/24 • 31 min
With TikTok in the hands of 170 million Americans, cybersecurity expert Amy Zegart says it’s time to talk about consequences. Foreign access to all that data on so many Americans is a national security threat, she asserts. For those as concerned as she, Zegart has good news and bad. The government has gotten better at fighting cyberthreats, but artificial intelligence is making things very complicated, very fast. The US needs to adapt quickly to keep pace, Zegart tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.
Episode Reference Links:
- Amy Zegart's Stanford Profile
- Hoover Institution Profile: Website
- Ep.20 How Vulnerable Are We to Cyber Attacks? (Amy’s previous episode on The Future of Everything)
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- Episode Transcripts >>> The Future of Everything Website
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Chapters:
(00:00:00) Introduction
Host Russ Altman introduces guest Amy Zegart, a cybersecurity expert from Stanford University.
(00:02:37) Government and Cybersecurity Speeds
How AI has changed the pace at which both government and cyber attackers operate, and the evolving dynamics of cybersecurity efforts.
(00:04:12) Corporate Cybersecurity
The unexpected role of the SEC in regulating corporate cybersecurity efforts and how the cyber attack surface has expanded beyond traditional big industries
(00:07:30) Global Cyber Threats and Preparedness
Insights into the strategic use of cyber operations by other countries, and the multifaceted nature of international cyber relations.
(00:09:13) Cyber Dynamics in the Russia-Ukraine Conflict
The cyber aspects of the Russia-Ukraine conflict and its implications for global cybersecurity strategies.
(00:11:35) Misinformation and Disinformation Dynamics
The difference between misinformation and disinformation, their impacts on society and the challenges in combating them.
(00:15:04) TikTok and National Security
Risks associated with TikTok as a platform controlled by Chinese interests, discussing data privacy and potential for foreign influence.
(00:20:11) Corporate Power in AI and National Security
The role of corporations in national security through their control over AI, and the challenges this poses for regulation and innovation.
(00:22:47) Learning from Cybersecurity to Manage AI Risks
Lessons from cybersecurity that could help manage emerging AI risks, highlighting the need for developing independent AI research capacities.
(00:26:44) European Regulation and Global AI Safety
The European approach to AI regulation and data protection, advocating for international AI safety norms and collaborative efforts.
(00:29:21) AI's Role in Enhancing Intelligence
How AI can transform intelligence services, and advancements that could lead to significant efficiency gains in national security.
(00:31:23) Conclusion
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Best of: Regenerating and rejuvenating human tissues
The Future of Everything
04/26/24 • 26 min
A best of episode where Russ interviews one of his bioengineering colleagues, Fan Yang, about some of the fascinating work she’s doing in the realm of tissue engineering. Hear more about the ways her lab is modeling human tissue to help develop a better understanding of how we might effectively replace damaged tissues and alleviate a number of health concerns.
Episode Reference Links:
- Fan Yang's Stanford Profile: Website
- Fan Yang’s Stanford Lab: Website
- Ep.174 Regenerating and Rejuvenating Human Tissues: Website / YouTube (original episode)
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- Episode Transcripts >>> The Future of Everything Website
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Chapters:
(00:00:00) Introduction
Host Russ Altman introduces guest Fan Yang, a bioengineer at Stanford.
(00:03:15) The Basics of Tissue Engineering
The purpose and significance of tissue engineering, emphasizing its role in addressing critical medical needs like late-stage arthritis.
(00:04:23) Challenges in Tissue Engineering
Technical hurdles in creating viable tissues for clinical use, such as integrating these tissues into the human body.
(00:07:00) 3D Printing and In Situ Polymerization
Technological advances in shaping tissues using 3D printing and the benefits of in situ polymerization to adapt to complex tissue shapes.
(00:09:15) Specific Challenges with Cartilage
The challenges specific to cartilage regeneration, explaining why it has been a difficult tissue to replicate and heal.
(00:13:56) Micro Ribbon Based Hydrogels
Explanation of micro ribbon based hydrogels, a new development aimed at improving tissue regeneration.
(00:19:16) Cancer Research and Tissue Engineering
How tissue engineering technologies are not only pivotal for therapeutic uses but also crucial for understanding diseases and aiding drug discovery.
(00:24:38) Regulatory Challenges and Commercialization
The regulatory and commercialization challenges facing new medical technologies, including the need for industry partnerships and the role of the FDA
(00:26:20) Conclusion
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Best of: Why AI must embody the values of its users
The Future of Everything
04/12/24 • 27 min
We’re bringing back an episode about trust and AI. In a world where the use of Artificial Intelligence is exploding, guest computer scientist Carlos Guestrin shares insights from the work he’s doing to support the development of trust between humans and machines. We originally recorded this episode in 2022, but the insights are just as if not more relevant today. We hope you’ll take another listen and enjoy.
Episode Reference Links:
- Carlos Ernesto Guestrin (Stanford Profile)
- Carlos Guestrin (Carlos’ Website)
- Measuring Patients' Trust In Physicians When Assessing Quality Of Care (Paper Carlos discusses as comparison to his work with AI)
- Adding Glycemic And Physical Activity Metrics To A Multimodal Algorithm-Enabled Decision-Support Tool For Type 1 Diabetes Care (Carlos’ published paper about Stanford Lucile Packard Children’s Hospital diabetes type 1 project)
- XGBoost Documentation (Carlos’ out-source project)
- Ep.172 - Why AI Must Embody the Value of Its Users YouTube / Website (Original Episode)
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- Episode Transcripts >>> The Future of Everything Website
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Chapters:
(00:00:00) Introduction
Russ Altman introduces the episode with guest Carlos Guestrin, a professor of computer science at Stanford, whose focus is bringing AI into broader use.
(00:02:58) Current Status of AI
The current capabilities of AI and machine learning and the widespread use and integration of these technologies.
(00:05:44) Deep Dive into Trust and AI
Three core components of trust in AI and how these factors influence the adoption and efficacy of AI systems.
(00:09:43) Technical Challenges in Implementing Trust
The challenges of translating the abstract concepts of trust into practical, implementable AI features.
(00:14:32) Enhancing AI Transparency and Generalization
Methods to improve AI’s generalisation capabilities and transparency.
(00:18:00) The Role of Open-Source in AI Development
The impact of open-source software on the AI field, highlighting the benefits of shared knowledge and collaborative advancements.
(00:22:34) AI in Healthcare
Healthcare and the use of AI in enhancing data-driven decisions in medical treatments.
(00:27:11) Conclusion
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Best of: How do you build a better robot? By understanding people.
The Future of Everything
04/19/24 • 27 min
A best of episode where Russ interviews computer scientist and electrical engineer, Dorsa Sadigh. They had a fantastic conversation about the work she’s doing to train robots to better understand humans, and as she shares, it turns out that one key to this work is better understanding human behavior. If you’re curious about how we’re going to make human-robot interaction work, this is a great episode to tune into again. Enjoy.
Episode Reference Links:
- Dorsa Sadigh: Website
- Dorsa Sadigh: Stanford Profile
- Ep.171 - How do you Build a Better Robot? By Understanding People. YouTube / Website (original episode)
Connect With Us:
- Episode Transcripts >>> The Future of Everything Website
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Chapters:
(00:00:00) Introduction
Host Russ Altman introduces guest Professor Dorsa Sadigh, a computer scientist and electrical engineer at Stanford.
(00:02:24) Bridging Robotics and Human Psychology
The journey from focusing solely on robotics to incorporating human behavioural insights to enhance robot design and functionality.
(00:05:31) Blending Cognitive Science and Robotics
The integration of cognitive science with robotics to build better computational models of human behaviour.
(00:07:35) Addressing Suboptimal Human Decision Making
Exploring human decision-making biases and their impact on robot interaction, with focus on bounded rationality and prospect theory.
(00:10:39) Robot Adaptations to Human Imperfections
How robots can adapt to human imperfections in collaborative tasks, using theories from behavioural economics.
(00:14:57) Training Robots and Humans for Better Interaction
Strategies for teaching both humans and robots to improve their interactions, including active teaching and understanding each other’s capabilities.
(00:18:41) Partner Modelling in Robotics
Insights into partner modelling in robotics, demonstrated through a scalable model in an air hockey game setup.
(00:21:54) Complex Multi-Agent Interactions
Addressing the dynamics of multi-agent systems like traffic, where autonomous and human-driven vehicles interact.
(00:24:11) Robots in Healthcare
The role of robots in healthcare, particularly in assistive technologies, and the challenges and advancements in this area.
(00:26:26) Conclusion
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The future of addiction
The Future of Everything
04/05/24 • 30 min
Guest Anna Lembke is a psychiatrist and a specialist in the behavioral sciences who studies addiction. While there is tremendous variety in the things people can be addicted to, all forms are tied to dopamine, a biochemical that is key to human senses of pleasure, reward, and motivation. She says that new treatments are combining traditional abstinence with programs that help patients reenergize dopamine centers in the brain through physical exercise, which is a known producer of dopamine. If patients can reach 30 days of abstinence there is a good chance at recovery, Lembke tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.
Episode Reference Links:
- Anna Lembke's Stanford Profile
- Anna Lembke's Website
- How do we fight the disease of addiction? (Anna's previous episode on The Future of Everything podcast)
Connect With Us:
- Episode Transcripts >>> The Future of Everything Website
- Connect with Russ >>> Threads or Twitter/X
- Connect with School of Engineering >>> Twitter/X
Chapters:
(00:00:00) Introduction
Host Russ Altman introduces guest Professor Anna Lembke, a professor of psychiatry and behavioral sciences at Stanford University, and an expert on addiction.
(00:02:27) The Personal Nature of Addiction
Professor Lembke shares a personal story of addiction to romance novels, providing insight into how seemingly benign habits can become harmful addictions.
(00:06:02) The Brain Chemistry of Addiction
What happens in the brain during addiction, including dopamine's role in pleasure, reward, and the process of becoming addicted.
(00:11:10) Addressing Addiction in Healthcare
How the medical community has evolved in recognizing and treating addiction, partly due to the opioid epidemic.
(00:13:23) Strategies for Managing and Treating Addiction
Treatment approaches for addiction, including the concept of hormesis, and how engaging in challenging physical activities can help manage addictive behaviors.
(00:17:31) Treatment and Recovery from Addiction
Professor Lembke’s own experience with overcoming her addiction through self-intervention and “dopamine fasting”.
(00:22:05) The Addictive Personality and Genetic Vulnerabilities
The concept of an "addictive personality," genetic predispositions to addiction, and how these factors play into the challenge of treating and managing addiction.
(00:23:29) The Opioid Epidemic: Insights and Challenges
An update on the opioid epidemic, the rise of fentanyl, and the ongoing challenges in addressing opioid addiction.
(00:29:08) The Future of Addiction
The broader context of addiction in society, emphasizing the importance of addressing addiction to digital media and other non-substance-related addictions
(00:29:57) Conclusion
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Episode Transcripts >>> The Future of Everything Website
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The future of robotics
The Future of Everything
05/17/24 • 29 min
Guest Jeannette Bohg is an expert in robotics who says there is a transformation happening in her field brought on by recent advances in large language models. The LLMs have a certain common sense baked in and robots are using it to plan and to reason as never before. But they still lack low-level sensorimotor control — like the fine skill it takes to turn a doorknob. New models that do for robotic control what LLMs did for language could soon make such skills a reality, Bohg tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.
Episode Reference Links:
- Jeannette Bogh: Website
- Stanford Profile: Website
- Jeannette's Lab: Website
- Robotics startup Jeannette discusses: Diligent Robotics
Connect With Us:
- Episode Transcripts >>> The Future of Everything Website
- Connect with Russ >>> Threads or Twitter/X
- Connect with School of Engineering >>> Twitter/X
Chapters:
(00:00:00) Introduction
Russ introduces guest Professor Jeannette Bohg, an expert in robotics from Stanford University.
(00:01:58) AI's Impact on Robotics
How AI is transforming robotics and the use of AI in high-level planning and reasoning in robotics.
(00:04:26) Challenges of Applying Language Models in Robotics
The challenges and potential of using large language models for robotic task planning and interaction between humans and robots.
(00:07:06) Data Shortages in Robotics
The scarcity of training data in robotics compared to other AI fields and its impact on development.
(00:10:43) Human-Robot Interaction and Augmentation
The potential for robots to augment human capabilities rather than replace them and different approaches to autonomy in robotics.
(00:16:41) The Future of Robotic Hardware
The current state of robotic hardware, its limitations, and what the future might hold for robotic development.
(00:19:53) The Financial and Practical Realities of Robotic Research
Cost and maintenance challenges associated with robotic research platforms, as well as practical applications of robotics in everyday life.
(00:25:11) Humanoid Robots vs. Practical Robots
The practicality and implications of designing robots that mimic human appearance and capabilities.
(00:27:55) Future Outlook and Commercial Viability
The future outlook for robotic platforms and when they might become commercially available.
(00:29:08) Conclusion
Connect With Us:
Episode Transcripts >>> The Future of Everything Website
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Connect with School of Engineering >>> Twitter/X
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FAQ
How many episodes does The Future of Everything have?
The Future of Everything currently has 296 episodes available.
What topics does The Future of Everything cover?
The podcast is about Mathematics, Podcasts, Technology, Science, Arts and Engineering.
What is the most popular episode on The Future of Everything?
The episode title 'The future of perceptual phenomena' is the most popular.
What is the average episode length on The Future of Everything?
The average episode length on The Future of Everything is 28 minutes.
How often are episodes of The Future of Everything released?
Episodes of The Future of Everything are typically released every 7 days.
When was the first episode of The Future of Everything?
The first episode of The Future of Everything was released on Feb 11, 2017.
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