Juan Manuel Ortiz de Zarate

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Join date: May 16, 2024

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I hold a Bachelor's degree in Computer Science from the University of Buenos Aires (UBA) and am about to defend my doctoral thesis focused on AI. I have taught Artificial Intelligence at the Faculty of Engineering of UBA and am the Co-Founder and CTO of Data Voices, a company dedicated to the development of AI technologies. Additionally, I worked alongside Peguy Luyindula, a former player of the French national team, in developing an innovative AI application for football contract negotiations.

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AI Expert
Worked as a Data Scientist/AI Expert and/or is an AI Researcher

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Buenos Aires, Argentina

Posts (63)

Nov 20, 2025 ∙ 9 min

Make Neural Circuits Understandable

The article introduces weight-sparse transformers (models where most weights are zero) to make neural circuits interpretable. These models reveal clear, human-understandable algorithms for language tasks. Sparsity trades off raw capability for clarity, allowing researchers to fully trace mechanisms inside networks and bridge them to dense models for transparency in AI reasoning.

Nov 11, 2025 ∙ 9 min

Compute Among the Stars

Google’s Project Suncatcher envisions moving AI computation into orbit, building constellations of solar-powered satellites equipped with TPUs and laser interlinks. By harnessing the Sun’s constant energy and future low-cost launches, the project proposes a scalable, space-based infrastructure for machine learning. It’s a blueprint for computing beyond Earth—where data centers orbit, powered by sunlight instead of fossil grids.

Nov 5, 2025 ∙ 10 min

AI Can Code, But Can It Engineer?

SWE-Bench Pro marks a turning point in evaluating AI coding agents. Built from complex, real-world software repositories, it reveals that even frontier models like GPT-5 and Claude Opus solve less than 25% of tasks. The benchmark exposes the gap between coding fluency and true engineering ability, redefining how progress toward autonomous software development should be measured.