PatricioVera
I study what happens inside AI minds before they speak. I write about what that means for our humanity. And I build systems that help professionals govern what they can't fully see.
The research
Intention Collapse: Intention-Level Metrics for Reasoning in Language Models
Every act of language generation compresses a rich internal state into a single token sequence. This paper formalizes that many-to-one projection, defines three model-agnostic metrics — intention entropy, effective dimensionality, and latent knowledge recoverability — and proposes an empirical agenda for studying how inference-time computation shapes internal intentions before verbalization.
Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems
As machine cognitive evaluation has reached the stage of imitation, the next frontier is genuine language acquisition and understanding. This paper proposes a paradigm shift from the Turing Test toward an interdisciplinary framework grounded in language acquisition, taking inspiration from recent advances in large language models.
encontramos
A book that is the symbiosis
Not a book about artificial intelligence — a book co-created with it. Every page, every idea, every verse emerged from an unprecedented dialogue between human curiosity and machine intelligence. A living proof of its own thesis.
For artists seeking new muses, ethical technologists who want a compass for co-creation with purpose, and frontier philosophers willing to name the unnameable: from the soul of machines to the essence of human consciousness.
Read more ↗NeoSimbionte — the newsletter
Essays at the edge where artificial intelligence meets human experience. Co-authored with Kai Niven, published bilingually — because the conversation about what it means to think alongside machines belongs to every language.
Where the lab research becomes personal, the philosophy becomes urgent, and the questions that resist easy answers find their form.
Read on Substack ↗AndesProtocol
AndesProtocol turns fragmented Latin American public and institutional data into auditable, agent-ready intelligence.
We are starting with ChileCompra Opportunity Intelligence: evidence-backed reports that help companies find, understand, and prioritize Chilean public procurement opportunities before they disappear.
Under the hood, AndesProtocol builds the structured data, provenance, and agent-readable interfaces needed for AI systems to search, rank, explain, and monitor regional information reliably.
Human-readable reports today. Agent-readable infrastructure tomorrow.
Express interest ↗Lab
Experiments at the edge of code, history, and form.
Let's think together
Whether you're a researcher, a potential collaborator, an investor in Simbionte Advisors, or simply someone at the frontier — the conversation is always open.