AI today risks becoming a tool of “automated ideology,” reinforcing corporate narratives instead of serving human insight, while failing to deliver on real-world intelligence rooted in feedback and context. A future techno-enlightenment hinges not on smarter algorithms, but on more precise positioning—linking AI to reality through centimeter-level data that can expose systemic failures, empower individuals, and challenge entrenched power.
Tag: GPS
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GPS: Understanding Our Ring of Power
GPS, once seen as a marvel of modern science, now faces critical limitations in accuracy, privacy, and national security—issues that threaten the efficiency and autonomy it once promised. The path forward lies in decentralized, ground-based PNT systems using RTK GNSS, chip-scale atomic clocks, and UWB, enabling AI to operate on real-world ground truth instead of abstract data, and revitalizing infrastructure with precision, resilience, and strategic foresight.
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Is Software Eating the World?
The dream of fully autonomous systems, built solely on software and individual intelligence, is faltering in the real world—where chaos, edge cases, and scale demand infrastructure that supports swarm intelligence and shared situational awareness. To achieve meaningful autonomy at scale, we must blend software with intelligent, distributed infrastructure that enables real-world positioning, coordination, and flow—a new kind of ecosystem where hardware isn’t a crutch but the nervous system of the future.
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Becoming Swarm: How Our Approach to Self-Driving Must Change
After two decades of promises, autonomous vehicles have not delivered on safety, efficiency, or emissions, largely due to misplaced trust in centralized cloud systems and isolated onboard AI. To achieve the future we want—swift, synchronized, and safe mobility—we must adopt swarm intelligence, focusing on relative positioning, shared flow, and measurable safety rather than waiting for perfect autonomy from tech giants.
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Pumping the Brakes on Fully Autonomous Driving
While current self-driving strategies focus on individual AI and centralized cloud control, true road safety and efficiency will come from swarm intelligence—vehicles synchronizing with one another through real-time, peer-to-peer communication and positioning. To achieve this, the industry must shift from ideological hype to measurable safety metrics, enabling collective flow over individual autonomy.