DiscoverFuture Tech And Foresight
Future Tech And Foresight

Future Tech And Foresight

Author: Marc Verbenkov

Subscribed: 20Played: 285
Share

Description

Emerging and future technologies and the trends that they are linked to will be covered on this podcast.
From the more obvious tech like: AI, Robotics, Autonomous Vehicles, and The Metaverse. To less well known disruptors like: Brain-Machine Interfaces, CBDC’s, Internet of Bodies, Smart Dust, Animal Human Chimeras, 4D Printing, Under The Skin Surveillance, Bio Computers and much more.
A vision of what the future may hold will be painted to alleviate some of our collective Future Shock so we can make better decisions for tomorrow.

Website: https://futuretechandforesight.com/


252 Episodes
Reverse
Marc and Dmitri explore how open-source technology can empower local communities and prevent massive monopolies or authoritarian regimes from controlling the future of computing.About the EpisodeThe public conversation around artificial intelligence is currently trapped between two extreme reactions. On one side, tech elites are terrified of existential doomsday scenarios, while everyday workers are understandably worried about losing their jobs to automation. Meanwhile, massive tech monopolies are quietly consolidating power, building closed systems that threaten to centralize global computing infrastructure. Trying to aggressively pause or blindly accelerate these massive models ignores the actual solution right in front of us.The real answer lies in decentralization and getting powerful computing tools directly into the hands of local communities. By embracing open-source infrastructure and wearable technology, marginalized groups and everyday citizens can build secure, private networks to solve their own unique problems without relying on big tech. This grassroots approach ensures that intelligent tools become a democratizing force rather than a weapon for authoritarian control. Tuning into this conversation will show you exactly how individual agency and open networks can completely reshape the future of digital sovereignty.About the GuestDmitri Mehlhorn is an attorney, entrepreneur, and author who actively works at the intersection of political strategy and technology. Drawing on his extensive background in venture capital and democratic activism, he recently authored a science fiction novel, Archipelago of Light, to stress-test the complex realities of our tech-driven future. He brings a uniquely practical perspective to the AI debate, arguing that our imagination must always remain accountable to real-world execution and political constraints. His insights are incredibly valuable right now because he bridges the gap between high-level policy theory and grassroots community action. Through his writing and advocacy, he continues to map out a future where open societies can thrive alongside rapidly evolving digital intelligence.Linkedin: https://www.linkedin.com/in/dmitrimehlhorn/    Website: https://www.dmitrimehlhorn.com/     Timestamps:00:01:22 - Episode Commences 00:02:56 - AI Fiction Book Discussion  00:06:11 - AI Development and Civilization Paths  00:14:10 - Open-Source AI Trends Discussion  00:19:16 - Open Source in Totalitarian States  00:22:02 - Decentralized AI and Computing Trends  00:27:03 - AI Problem-Solving Categories  00:31:05 - Shaping Future AI Developments  00:33:21 - Decentralized AI Business Opportunities  00:36:19 - AI and Bureaucracy in Fiction  00:39:09 - Diverse Intelligence Across Species 00:47:17 - Episode ConcludesAdditional Notes:For more check out the website: ⁠https://futuretechandforesight.com/⁠Or connect with me on –Twitter: ⁠https://twitter.com/FutureTech_Pod⁠Linkedin: ⁠https://www.linkedin.com/company/futuretechandforesight/
Marc and Harald explore why true level five autonomy is still years away and how remote human operators are becoming the crucial safety net for the entire autonomous vehicle industry.About the EpisodeWhile autonomous vehicles dominate headlines, the industry is still struggling to achieve true level five autonomy. Current systems operate independently about ninety-five percent of the time, leaving unpredictable edge cases that software alone cannot solve. Because unexpected real-world variables can easily paralyze artificial intelligence, operators are pivoting toward sophisticated remote monitoring networks instead of full automation.This emerging standard relies on remote safety platforms where a single human supervisor oversees multiple autonomous vehicles at once. Live video intercoms ensure immediate passenger safety while providing crucial data to refine driving algorithms over time. As driverless fleets expand into daily transit, building genuine public trust will depend entirely on these hybrid oversight models.About the GuestHarald Braun is a telecommunications executive and the CEO of Guident, a company providing connectivity and safety monitoring for autonomous vehicles. He founded the organization in 2020 after recognizing that public adoption of driverless transit depends on reliable, real-time operational safety. Under his leadership, Guident deploys proprietary remote monitoring platforms to manage driverless fleets across commercial environments.Through the Guide On platform, Harald champions a human-in-the-loop framework that allows off-site operators to intervene whenever autonomous systems encounter edge cases. This approach proves that a single supervisor can economically oversee multiple vehicles while maintaining passenger safety and confidence. Through his ongoing work, Harald continues to build the operational infrastructure needed to safely integrate autonomous vehicles into everyday transit.    Website: https://guident.com/Timestamps:00:01:22 - Episode Commences 00:03:07 - Autonomous Vehicle Connectivity Discussion 00:07:42 - Autonomous Vehicle Technology Status  00:11:32 - Remote Safety Operator Platform 00:15:51 - Autonomous Vehicle Human Oversight Model  00:19:30 - Autonomous Vehicle Human Oversight Future  00:27:03 - Autonomous Vehicle Safety Challenges  00:31:26 - Human Oversight in Autonomous Systems  00:35:54 - Autonomous Vehicle Scaling Predictions  00:40:00 - Autonomous Vehicle Safety Implementation 00:51:12 - Episode ConcludesAdditional Notes:For more check out the website: ⁠https://futuretechandforesight.com/⁠Or connect with me on –Twitter: ⁠https://twitter.com/FutureTech_Pod⁠Linkedin: ⁠https://www.linkedin.com/company/futuretechandforesight/
Marc and Jack Myers explore the concept of human-machine co-intelligence, discussing how artificial intelligence is fundamentally changing the way we think, choose, and relate to one another.About the EpisodeFor the last several decades, the conversation around technology has almost exclusively focused on what new machines can do for us. However, as artificial intelligence quietly integrates into our classrooms, boardrooms, and living rooms, we are entirely ignoring what this growing presence is actually doing to us. We are rapidly entering an era of co-intelligence where outsourcing our daily decisions might actually mean surrendering our critical judgment. This massive cultural transformation forces us to ask whether we are still the authors of our own future, or simply passengers reacting to automated convenience.Navigating this shift requires developing a "third brain" that allows us to collaborate with increasingly intelligent systems without losing our own responsibility. Instead of blindly accepting automated answers, leaders and individuals must practice intentional pushback and maintain their ethical decision-making skills. The defining challenge for the next generation won't just be building smarter tools, but retaining the empathy, presence, and purpose that make us fundamentally human. Those who learn to harness this technology thoughtfully will unlock unimagined possibilities while remaining deeply grounded in their own humanity.About the GuestJack Myers is an independent thinker, author, and award-winning futurist who has spent the last fifty years studying how rapid change reshapes people and society. From his early days studying media ecology alongside Neil Postman at NYU to advising senior executives at companies like Disney, Microsoft, and Paramount, he constantly examines what happens when technological transformation becomes part of everyday life. Rather than just tracking emerging tech trends, he focuses on how deeply these shifts alter human behavior, cultural norms, and leadership frameworks.In his newest book, Your Third Brain: Powering a Future of Unimagined Possibilities, he brings this lifetime of observation straight into the modern Intelligence Era. He actively challenges leaders to look past the hype of artificial intelligence and focus on preserving the human elements of judgment, responsibility, and intentional choice. By introducing practical frameworks for human-machine collaboration, he is equipping audiences to navigate a world where intelligence is increasingly free. Through his continued research and advocacy, Jack is fighting to ensure the next generation remains the true authors of whatever comes next.Linkedin: https://www.linkedin.com/in/myersjack/Timestamps:00:01:01 - Episode Commences 00:03:11 - Media Ecology and Technology Impact 00:06:31 - AI Experience and Impact Discussion  00:10:05 - AI Implementation in Digital Media  00:14:38 - Generational AI Adoption Challenges 00:19:11 - Human-AI Collaboration and Accountability  00:24:21 - AI in Work and Education 00:29:28 - Educational and Advertising Evolution Trends 00:32:37 - Digital Marketing AI Transformation  00:35:31 - AI Impact on Human Roles  00:39:32 - AI Leadership Recommendations Discussion  00:45:56 - Episode ConcludesAdditional Notes:For more check out the website: ⁠https://futuretechandforesight.com/⁠Or connect with me on –Twitter: ⁠https://twitter.com/FutureTech_Pod⁠Linkedin: ⁠https://www.linkedin.com/company/futuretechandforesight/
Marc, Mike, and Vinay explore how framing artificial intelligence as a digital employee rather than a software tool completely transforms corporate productivity and culture.About the EpisodeThe overwhelming hype around artificial intelligence often leaves business leaders paralyzed and unsure of how to actually implement it. Instead of treating this technology like traditional software, forward-thinking organizations are now framing AI as digital talent that can be hired, managed, and delegated to just like a human coworker. By pairing human supervisors with specialized digital assistants, companies are successfully offloading routine tasks and freeing up their workforce to focus on complex, high-value strategy. This massive shift essentially transforms traditional IT departments into highly agile, AI-driven development teams that can build bespoke tools on the fly.Transitioning to a digital workforce requires a massive cultural shift that prioritizes human amplification over job replacement fears. Recent data gathered alongside top universities proves that employees who deeply collaborate with these digital tools drastically outperform their peers in sales, service, and retention. Rather than waiting for the perfect enterprise rollout, businesses must start training non-technical staff to confidently build and manage their own automated solutions today. Organizations that quickly embrace this cooperative model will inevitably pull ahead, while those clinging to legacy workflows will struggle to compete.About the GuestMike Sullivan, Co-Founder and Chief AI Activation Officer, alongside Chief Product Officer Vinay Gidwaney, lead the digital transformation strategy at OneDigital. Mike brings twenty-five years of experience steering the massive organization through multiple economic crises by heavily relying on technological adaptation to survive. Vinay complements this with a deep entrepreneurial background across various tech-focused organizations, bringing a unique perspective on how modern software development must evolve. Together, they have spent the last three years pioneering a radical internal approach that treats artificial intelligence as a scalable, digital workforce capable of serving their one hundred thousand clients.They are currently collaborating with researchers at Harvard and MIT to definitively prove how deep AI integration directly boosts employee performance metrics. By developing an internal framework of AI coworkers, agents, and builders, they have successfully empowered non-technical staff to create their own specialized solutions without waiting on IT. Their core philosophy is built entirely around human amplification, ensuring that technology serves to enhance critical thinking rather than replace it. Through their continued leadership, Mike and Vinay are paving the way for a future where humans and digital agents seamlessly collaborate to drive unprecedented business growth.Linkedin:    https://www.linkedin.com/in/mikesullivanatdigital/    https://www.linkedin.com/in/gidwaney/Website: https://www.onedigital.com/ Timestamps:00:01:30 - Episode Commences 00:03:57 - AI Implementation at One Digital  00:06:19 - Navigating Technology and Business Crises  00:09:26 - AI Adoption in Small Businesses 00:12:05 - AI Adoption and Implementation Strategies  00:16:18 - AI Adoption and Work Structure  00:20:57 - AI Adoption in Workplace Transformation  00:27:27 - AI Access Management Framework  00:31:09 - AI Performance Data Presentation  00:34:46 - AI Workplace Adoption Strategies 00:50:20 - Episode ConcludesAdditional Notes:For more check out the website: ⁠https://futuretechandforesight.com/⁠Or connect with me on –Twitter: ⁠https://twitter.com/FutureTech_Pod⁠Linkedin: ⁠https://www.linkedin.com/company/futuretechandforesight/
Marc and Ran Aroussi explore how invisible AI infrastructure is transforming the enterprise, breaking down how autonomous agent teams can execute complex tasks without forcing employees to adopt new software.About the EpisodeThe race to integrate artificial intelligence into established enterprises is running straight into a major bottleneck: nobody wants to learn another complicated software platform. Instead of forcing teams to adopt disruptive new dashboards, the real breakthrough is making agentic infrastructure completely invisible by embedding intelligence directly into existing communication channels. Proactive agents are already stepping in to monitor conversations, dynamically build standard operating procedures, and handle complex administrative tasks across accounting, legal, and IT departments. This frictionless transition enables businesses to automate repetitive busywork without derailing daily operations or confusing their workforce.As autonomous systems become more deeply embedded in enterprise architectures, traditional security and governance strategies must drastically evolve. Giving agents unmonitored access creates severe vulnerabilities, making strict permissions, read-only guardrails, and human-in-the-loop validation mandatory for preventing costly hallucinations and data leaks. When structured with proper hierarchical oversight, agentic workforces are already starting to outperform human teams in critical areas like engineering, testing, and system diagnostics. The organizations that master this balance between automated execution and disciplined governance today will define the next standard of corporate productivity.About the GuestRan Aroussi brings over 30 years of engineering experience to his work transforming complex systems across AdTech, finance, and artificial intelligence. A self-taught technologist, he previously built ad-serving engines delivering three billion daily ads, created the massively adopted yfinance library, and founded Tradologics. Today, as the Founder of MUXI and Automaze, he focuses on delivering production-grade infrastructure that empowers autonomous AI agents to think, remember, and collaborate safely.Drawing from decades of navigating high-stakes tech shifts, Ran recognizes that the AI industry is finally entering its demanding enterprise era. He actively champions transparent design discipline, arguing that auditable reasoning and strict permissions are the only ways to build resilient systems leaders can actually trust. Through his ongoing open-source work, Ran continues to provide the foundational architecture businesses need to transition from fragile AI experiments to scalable, agentic workforces.Linkedin: https://www.linkedin.com/in/aroussi/Website: https://varops.com/ Timestamps:00:01:21 - Episode Commences 00:03:35 - Enterprise AI Implementation Challenges  00:07:40 - AI Implementation Strategy Discussion  00:15:03 - Business Automation Implementation Discussion  00:21:47 - Cybersecurity for AI Agents Implementation  00:29:52 - AI Server Security Incident Review 00:35:19 - Agentic Workforce Performance Evolution  00:39:45 - AI Costs and Implementation Strategies 00:51:19 - Episode ConcludesAdditional Notes:For more check out the website: ⁠https://futuretechandforesight.com/⁠Or connect with me on –Twitter: ⁠https://twitter.com/FutureTech_Pod⁠Linkedin: ⁠https://www.linkedin.com/company/futuretechandforesight/
loading
Comments