Traffic Jam in the Skies: Why Satellites Need Identity Too
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On exploding satellites, orbital spies, a $500 million uninsured disaster, and what a protocol designed for humans can teach us about the 12,000 machines circling our heads.
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On exploding satellites, orbital spies, a $500 million uninsured disaster, and what a protocol designed for humans can teach us about the 12,000 machines circling our heads.
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On why moving machines deserve their own programming language, and what Odysseus has to do with it.
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On accessibility, statistical mechanics, and what happened when I submitted a protocol that proves humanity through movement.
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Why mobile apps for moving machines are broken, and what a domain-specific language can do about it.
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On starling murmurations, Nobel Prize physics, and why the future of digital identity lives in the way you move through the world.
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The unchecked growth of AI poses significant risks, both to the environment and to societal well-being. Its escalating energy consumption mirrors unsustainable dynamics seen in other extractive systems, where short-term gains overshadow long-term stability. Training large-scale AI models already demands vast amounts of energy, with the carbon emissions from a single model equivalent to the lifetime emissions of five cars. This trajectory not only exacerbates the climate crisis but also highlights the inefficiencies of centralized, energy-intensive AI infrastructures.
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In the world of ideas, certain conflicts never truly end — they evolve. One such tension, which shaped my thesis in epistemology under the guidance of the late Remo Bodei, was the clash between Darwinian natural selection and Lamarckian inheritance. Darwin’s framework, built on competition and survival of the fittest, dominated the intellectual scene by the late 19th century. Yet Lamarck’s vision of evolution — focused on cooperation, adaptation, and reciprocal influence — refused to fade into obscurity. Instead, it quietly permeates modern fields like biology, ethology, and the natural sciences.