Luis Cosio

Building and investing in solutions for AI alignment, safety, and existential risk reduction.

I work at the intersection of frontier AI and high-security systems. My focus is turning abstract safety and security requirements into deployable technical artifacts that can withstand real adversaries, from nation-state attacks to loss-of-control scenarios.

Focus Areas

• Frontier AI Security (SL5)
  Securing model weights, inference systems, and lab infrastructure against nation-state threats.

• AI Alignment and Interpretability
  Mechanistic interpretability, scalable oversight, and monitoring-based interventions.

• Security Engineering
  Air-gapped deployments, attack surface minimization, and high-assurance runtime design.

Selected Work

• Security Level 5 Task Force
  SL5 security artifacts for frontier AI systems.
  https://sl5.org/projects

• MechWatch (1st place, Defensive Acceleration Hackathon)
  Mechanistic-interpretability-based watchdog for real-time cognitive interdiction.
  https://mechwatch.luiscos.io/

• SPAR Mentor
  Mentoring researchers starting careers in AI safety and alignment.
  https://sparai.org/

• Algoverse Mentor
  Guiding student research teams in AI safety.
  https://algoverseairesearch.org/

Background

Mexico City based technologist with 15 years across cloud, cybersecurity, and AI. Currently pursuing an M.S. in AI at Johns Hopkins University while working full-time on AI safety and security.

Connect

• Website: https://www.luiscos.io
• Twitter: https://twitter.com/luiscosio
• LinkedIn: https://www.linkedin.com/in/luiscosio/
• GitHub: https://github.com/luiscosio