Researcher & Writer

Camilo
Chacón Sartori

"I study how human and artificial systems fail differently, and what that difference reveals."

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Where to start

Research, Writing, Collaboration

I seek unity in diversity. I am not interested in accumulating topics; I pursue a single question from multiple angles: how we think, justify, and control algorithmic systems, and now LLMs, when knowledge is partial and error is structural.

Scientific & Philosophical Articles

Research

Peer-reviewed work on combinatorial optimization, analytical tooling and the philosophy of computation, with the map that connects them.

Publications and map

Books & Public Writing

Writing

Books in Spanish on programming, algorithms and artificial intelligence, a newsletter of interviews with pioneers, and a podcast.

Books and writing

How We Can Work Together

Collaboration

Joint research, courses and workshops, applied AI advisory, and editorial projects.

Collaboration paths

New Book — Out Now

Marcombo • 2026 • First book in a series on Generative AI

CriterIA

Piense antes de pedirle a la IA

A short book (in Spanish) on using AI without delegating your judgment. It offers four practical instruments — a self-deception meter, a value matrix, micro-prompts, and closing checklists — all of them also available as free interactive tools in your browser.

Buy at Marcombo Try the book's tools

Timeline

Latest News

September 2026

New preprint with Guillem Rodríguez-Corominas and Christian Blum: "From Hand-Crafted to LLM-Based Variation Operators in Metaheuristics: A Tutorial". How to classify, build and choose a variation operator when a language model writes the candidate. You can download the PDF.

Preprint • Tutorial • LLMs & Metaheuristics • PDF

September 2026

I have launched ExactTeX and Vitela. ExactTeX is an open-source (MIT) LaTeX compiler with gradual annotation: you name the objects you want checked, and everything you do not name stays ordinary LaTeX. Vitela is an editor that runs it in the browser, with the same checks and diagnostics on the page — no install.

Open Source (MIT) • Web App • Artificial Fallibility Labs

August 2026

I have released Krisis, a web app for reviewing scientific papers. The model reads the paper, argues each finding and cites the exact passage it comes from, and every reference is checked against live sources. The model suggests; you decide what enters the review. You can try it without an account.

Web App • Artificial Fallibility Labs • No Account Needed

All news

Architectures of Error

I am an AI researcher and author with a track record of peer-reviewed publications on combinatorial optimization and the philosophy of computation, and books on programming, algorithms, and artificial intelligence.

Researcher at Apeiron Intelligence, with a Ph.D. in Computer Science & AI from the Artificial Intelligence Research Institute (IIIA-CSIC) and the Autonomous University of Barcelona (UAB). My work spans three fronts — combinatorial optimization, software tooling, and the philosophy of computation — that share one question.

Chilean, based in Barcelona.

More about me

How We Can Work Together

Collaboration Paths

If you are reaching out for the first time, these are the main ways I usually collaborate.

Research Collaboration

Joint Research

Co-authored papers, experimental studies, and grant-oriented work in AI, optimization, and philosophy of computation.

Propose a research project

Teaching & Executive Education

Courses and Workshops

Machine Learning lectures, seminars, and course design for universities and business schools. I am also preparing a six-session live course, in Spanish, on building a lab of AI agents.

Invite me to teach

Advisory / Consulting

Applied AI Advisory

Strategy, technical validation, and optimization-driven workflows for teams building AI products.

Book an intro call

Books & Editorial Work

Editorial Projects

Editorial collaborations on books about programming, algorithms and artificial intelligence.

Propose an editorial project

Initiate a Dialogue

I am always interested in discussing new research projects, editorial collaborations, or simply debating the future of AI.

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