312 episodes

Tech that is changing the world. Innovators who are shaping the future.

Deep discussions with diverse leaders from Silicon Valley giants and scrappy global startups. Plus some short monologues based on my Forbes columns.

TechFirst with John Koetsier John Koetsier

    • Nyheter

Tech that is changing the world. Innovators who are shaping the future.

Deep discussions with diverse leaders from Silicon Valley giants and scrappy global startups. Plus some short monologues based on my Forbes columns.

    AGI: solved already?

    AGI: solved already?

    Have we already achieved AGI?

    OpenAI just released GPT-4o. It’s impressive, and the implications are huge for so many different professions ... not least of which is education and tutoring.

    It’s also showing us the beginning of AI that is truly present in our lives ... AI that sees what we see, doesn’t exist just in a box with text input, hears what we hear, and hallucinates less.

    What does that — and other recent advancements in AI — mean for AGI?

    In this episode of TechFirst, host John Koetsier discusses the implications of OpenAI's GPT-4 release and explores the current state and future of Artificial General Intelligence (AGI) with Roman Yampolskiy, a PhD research scientist and associate professor.

    They delve into the rapid advancements in AI, the concept of AGI, potential impacts on different professions, the cultural and existential risks, and the challenges of safety and alignment with AGI. The conversation also covers the societal changes needed to adapt to a future where mental and physical labor could be fully automated.

    00:00 Exploring the Boundaries of AI's Capabilities
    01:36 The Evolution and Impact of AI on Human Intelligence
    03:39 The Rapid Advancements in AI and the Path to AGI
    06:38 The Societal Implications of Advanced AI and AGI
    09:27 Navigating the Future of Work and AI's Role
    14:52 The Ethical Dilemmas of Developing Superintelligent AI
    19:22 Looking Ahead: The Unpredictable Future of AI

    • 22 min
    Water from air for 10 cents a gallon?

    Water from air for 10 cents a gallon?

    If our planet turns to Dune, how will you survive?



    We're already experiencing water crises in thousands of global cities, places like Flint Michigan, or even native reserves in Canada.



    How can you ensure you'll get good, healthy, clean drinking water?



    In this episode of TechFirst, we explore the critical global challenge of securing clean water, a resource essential yet scarce for over 2 billion people worldwide.



    With a focus on innovative solutions, John Koetsier interviews Brian Sheng, CEO and co-founder of Aquaria, a company at the forefront of developing atmospheric water generators capable of extracting clean water from the air, ranging from 24 to 2,600 gallons daily. Sheng discusses the technology's workings, its potential to address water scarcity effectively, especially in areas with limited access to clean water, and the company's vision for scaling up to support communities and potentially entire cities with sustainable, clean water obtained directly from the atmosphere.



    00:00 Atmospheric Water Generator

    01:19 The Global Water Crisis: Challenges and Solutions

    05:13 How Atmospheric Water Generators Work: Technology Explained

    11:00 The Future of Water: Scaling Up and Making it Affordable

    12:48 Comparing Water Solutions: Desalination and Atmospheric Water Generators

    21:45 The Vision for a Sustainable Water Future

    • 23 min
    Robots in agtech: what's next?

    Robots in agtech: what's next?

    In this episode of TechFirst, host John Koetsier explores the future of robotics and agricultural technology (agtech) with Kevin Dowling, managing director at Robotics Factory in Pittsburgh, Pennsylvania.

    They discuss the evolution of robotics in farming, from traditional methods to the modern use of drones, autonomous tractors, and AI-driven systems.

    Kevin highlights the diversity of robotic forms in agriculture, including wheeled, legged, flying, and swimming robots, and the role of morphology in determining the best tool for various farming tasks. The conversation covers the current trends in robotic investments, the potential of humanoid robots in agriculture, and the economic challenges faced by hardware startups in AgTech.

    Kevin predicts a shift towards smaller, more affordable robots for smaller farms and emphasizes the importance of technology in reducing environmental impacts, enhancing food production efficiency, and potentially democratizing farming.
    The episode also touches upon innovative startups in Pittsburgh, the challenges of introducing robotics into unpredictable farm environments, and the vision for future farming landscapes transformed by robotics and autonomous machinery.

    00:00 Exploring the Future of Robotics and Ag Tech
    00:46 The Evolution and Future of Robotics in Agriculture
    03:39 The Role of Humanoid Robots in Farming
    07:38 Challenges and Opportunities in Ag Tech Startups
    10:05 Innovative Startups Shaping the Future of Agriculture
    12:49 The Complex Environment of Farm Robotics
    15:30 The Potential of Indoor and Vertical Farming
    23:30 Envisioning the Future of Farming with Robotics

    • 29 min
    World's first micro lunar rover

    World's first micro lunar rover

    In January of this year, Peregrine Mission One launched with at least 22 payloads. One was intended to be the first American made rover to land on the moon since the Apollo days: 1972.

    It was called Iris, and it was also the first lunar rover constructed with carbon fiber. It was designed and built by students at Carnegie Mellon University.

    Today, we’re going to chat with them ...

    Despite a mission failure due to the lander experiencing a propellant leak and missing its lunar target, the Iris team achieved significant milestones. They successfully demonstrated that student-made rovers could survive space conditions, including the Van Allen Belt's radiation, and maintain communication and functions in space.

    This project, despite its setbacks, marks a significant achievement in democratizing space exploration and contributes to the broader vision of establishing moon bases and Mars bases as stepping stones for further space exploration.

    00:00 The Future of Space Exploration: Moon and Mars Bases
    00:42 Introducing can the Iris Lunar Rover Project
    05:17 The Team Behind Iris: Roles and Experiences
    09:00 Scientific Goals and Achievements of the Iris Rover
    12:58 Overcoming Failure: Lessons from a Mission Gone Wrong
    22:03 The Next Steps: Future Missions and Career Paths
    25:59 Reflecting on the Golden Age of Space Exploration

    • 28 min
    After AGI

    After AGI

    What happens after AGI?

    AGI is artificial general intelligence: it’s when AI achieves human-level intelligence nd likely quickly thereafter super-human abilities, maybe even ushering in the Singularity.

    I was recently at the Beneficial AGI conference in Panama. One of the speakers was the founder of Emerj Artificial Intelligence Research. He’s interviewed nearly 1,000 AI leaders, his name is Dan Faggella, and he has some good insight into what AGI might do.

    Or at least what the experts think about it …

    We discuss artificial general intelligence (AGI), the potential for post-human bliss through advanced simulations, and various perspectives on AGI's ethical and societal impacts. Fagella shares insights from interviews with nearly a thousand AI experts, outlining a matrix to categorize thoughts on AGI's future and human interaction. The discussion covers the balance between control, collaboration, and open-source development in AI, along with personal reflections on humanity's potential paths in an AI-dominated future. Themes include the ethical implications of AGI, the role of human values in AI development, and speculative futures where humanity merges with or is overshadowed by superior AI entities.

    00:00 Exploring Post-Human Bliss and the Power of AI
    01:31 The Matrix of AI Perspectives
    02:50 Exploring the Future with AI: Preservation, Progression, and Ascension
    04:26 Navigating the Path to AI: Control, Collaboration, Openness
    07:11 Personal Stances and the Future of AI
    19:00 AI's Impact on Society and the Future
    24:23 Envisioning a Post-Human Future: Choices and Consequences
    29:53 Reflections on Humanity's Path Forward with AI

    • 33 min
    No-notch iPhones, FaceID on Android, biometrics everywhere

    No-notch iPhones, FaceID on Android, biometrics everywhere

    If you have an iPhone, you've got a notch. Now there's tech that can get rid of that notch ... and the same tech can bring secure Face ID to Android: at a fraction of the cost.

    In this TechFirst, I chat with Metalenz CEO Rob Devlin about his meta surfaces product. Not only can they produce about 10,000 lenses on a single 30-centimeter wafer, just like computer chips, they can now decode polarization information on surfaces from the light reflecting off of that.

    That gives them data on what that surface is made from, and that is a huge advancement for biometrics, phones, medical devices, and robots.

    The technology, which can capture and process unique wavelengths and polarization information, enables the creation of smaller, cheaper, and more efficient optical systems. Metalenz's partnership with ST Microelectronics has led to the integration of metasurface optics in products that have been previously sold in over 150 different smartphone models.

    00:00 Revolutionizing Optics with Metal Lens Technology
    00:30 The Journey of Metalenz: From Concept to Market
    01:34 Exploring the Impact of Meta Surface Technology
    02:39 Understanding Metasurfaces and Their Potential
    10:48 Introducing Polar ID: A Game-Changer for Biometric Security
    22:20 The Future of Polarization Technology and Its Applications
    22:33 Collaboration with Samsung and the Path Forward
    27:14 Envisioning New Horizons: Beyond Polar ID
    32:36 Wrapping Up: The Future of Metal Lens and Polar ID

    • 32 min

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