The Medieval Debate and the Problem of Attribution in Large Language Models
To whom does the act of intellection properly belong? A reflection from the debate on the agent intellect.
AI, Intelligence & Philosophy
Independent research and writing on artificial intelligence, cognition, and the problem of attributing intelligence.
About Me
I am an independent researcher and writer working at the intersection of artificial intelligence, cognition, and philosophy. With a technical background in data science and AI, I investigate how we define intelligence and when—if ever—we are justified in attributing it to artificial systems.
My technical background includes being a Project Management Engineer, a Specialist in Data Science and AI projects, and currently finishing a Master's in Data Science and AI.
“Before asserting that a machine thinks—or that it never will—we must clarify what intelligence means, what evidence we count as relevant, and under what criteria we make that attribution.”
Work
Writing, Analysis & AI Research
Essays, context analysis, documentary research, and technical writing on artificial intelligence for media, editorial projects, organizations, and audiences seeking to understand the topic with rigor and clarity.
Conversations & Collaborations
Available for interviews, podcasts, public conversations, and editorial collaborations on AI, cognition, philosophy of mind, epistemology, and tech culture.
Perspective & Research
My research explores the conceptual and philosophical foundations of artificial intelligence.
Research Themes
Intelligence & Attribution
How intelligence has been defined, what criteria we use to recognize it, and what changes when the agent is non-biological.
Minds, Machines & Cognition
Philosophy of mind, consciousness, intentionality, functionalism, and the limits of comparing AI models to human minds.
Epistemology of AI
Epistemic opacity, evidence, explanation, reliability, and the limits of what we know about complex artificial systems.
Philosophy of Science & AI
Abduction, explanation, demarcation, and criteria to separate evidence, marketing, prediction, and knowledge.
AI Narratives & Public Understanding
How labs, companies, media, and governments present the capabilities and future of AI.
Essays & Archive
Essays, research notes, and rigorous popularization on AI, intelligence, and philosophy.
This archive documents independent work in progress. It is not a substitute for peer-reviewed academic research.
Computational Reliabilism and the Problem of Practice: An Objection from the Case of the Reliable Instrument
An objection to the framework of computational reliabilism regarding the epistemic opacity of algorithmic systems.
Let's talk
Available for interviews, public conversations, editorial collaborations, and research/writing projects related to AI and intelligence.
fermavec@gmail.com