About Me
AI 2035 (Cybersecurity Standpoint) is my first public project in AI safety. It explores how advances in frontier AI could change offensive cyber capabilities, critical infrastructure security, and the strategic choices facing governments as increasingly capable systems become more autonomous.
This project grew out of the AGI Strategy Course at BlueDot Impact, especially its curriculum and the discussions within my cohort. The course pushed me to make broad claims about AI progress more concrete by asking what capabilities would actually be required, when they might emerge, how they could diffuse, and how governments and defenders might respond.
I researched, wrote, designed and built this website independently.
Get in touch
You can reach me at the.coder.zen@gmail.com. I’m always interested in hearing from people working on AI safety, philosophy, cybersecurity, forecasting, governance, and adjacent research.
I want to work on questions around how advanced AI is developed, made safer, and governed. My technical background includes Python, C and Go, along with experience using Python libraries such as scikit-learn, NumPy and pandas, and working knowledge of machine-learning systems.
A lot of my work has involved research, verification and analytical writing. I have done independent verification work for EFF’s Atlas of Surveillance, checking claims against public records and documenting the evidence behind them. I am also interested in the philosophical questions raised by advanced AI, especially what would count as evidence for machine consciousness and how governance should respond when that evidence is uncertain.
Changelog
Changes to the scenario, evidence base and website since initial publication.