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Rethinking Knowledge in the Age of AI: From Extraction to Mutualism

6 minute read

Published:

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.

Algorithmic Aesthetics: Designing AI for Unity and Ethics

5 minute read

Published:

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.

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IPR Disclosure: Trajectory-based Identity Verification

Published in IETF IPR Disclosures, 2026

US Provisional Patent Application 63/948,788 related to trajectory-based identity verification. Licensed under RAND (Reasonable and Non-Discriminatory) terms consistent with IETF IPR policy.

Recommended citation: Ayerbe Posada, C. (2026). "Statement about IPR related to draft-ayerbe-trip-protocol." IETF IPR Disclosure #7153.
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TRIP: Trajectory-based Recognition of Identity Proof

Published in IETF Internet-Draft (Individual Submission), 2026

IETF Internet-Draft specifying a decentralized protocol for establishing claims of physical-world presence through cryptographically signed, spatially quantized location attestations. Introduces a Criticality Engine grounded in statistical physics for distinguishing biological movement from synthetic trajectories.

Recommended citation: Ayerbe Posada, C. (2026). "TRIP: Trajectory-based Recognition of Identity Proof." Internet-Draft draft-ayerbe-trip-protocol-01, IETF.
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TRIP: Trajectory-based Recognition of Identity Proof (Revision 02)

Published in IETF Datatracker (Individual Submission), 2026

IETF Internet-Draft revision 02 — adds RATS Architecture mapping, Active Verification Protocol, accessibility considerations for low-mobility users, and deterministic CBOR encoding. Addresses review feedback from Muhammad Usama Sardar and Jun Zhang.

Recommended citation: Ayerbe Posada, C. (2026). "TRIP: Trajectory-based Recognition of Identity Proof." Internet-Draft draft-ayerbe-trip-protocol-02, IETF.
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