Joshua Fonseca Rivera

I study character training and model welfare: whether a model's consent matters, whether training removes preferences or only behavior, and whether self-reports can be trusted.

Before this, I was a software engineer for six years, most recently lead mobile engineer at Taekus, a fintech company.

josh.fonseca88@gmail.com

Josh Fonseca Rivera smiling in a woven poncho in front of Machu Picchu
Role
AI Safety Research Fellow, Anthropic Fellows Program
Location
Berkeley, CA
Local time
Pacific Time

Papers

  1. Steering Awareness: Detecting Activation Steering from Within

    Joshua Fonseca Rivera, David Demitri Africa

    Models learn to detect steering injected into their own activations (95.5%, 0 false positives), yet become more steerable.

    PDF LessWrong post

    COLM 2026

  2. Item Response Theory for AI Safety

    Joshua Fonseca Rivera, Neil Shah, David Demitri Africa, Konstantinos Voudouris

    Largest psychometric study of safety evals (8 benchmarks, 192 models); cuts eval cost 97–99% and flags sandbagging.

    PDF

    arXiv 2026

  3. Measuring Activation Control in Large Language Models

    Marek Mateusz Kowalski, Joshua Fonseca Rivera, Uzay Macar, David Demitri Africa

    Most LLMs can steer their own activations enough to partially evade latent-space monitors.

    PDF

    arXiv 2026

  4. Touch&Fold: A Foldable Haptic Actuator for Rendering Touch in Mixed Reality

    Shan-Yuan Teng, Pengyu Li, Romain Nith, Joshua Fonseca, Pedro Lopes

    Best Paper Honorable Mention (top 5%).

    PDF Video Code

    CHI 2021

Experiments

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