AGI & Humanitarian Research — FAQ
What is ComputEyes?
ComputEyes (ComputEyes.com / @ComputEyes) is a research-first initiative from Intrafere dedicated to studying how society should responsibly prepare for and handle AGI. As researchers who build and study autonomous superintelligent systems firsthand, we believe the question of how AGI will reshape labor markets, governance, economic structures, and daily life is one of the most consequential and understudied challenges facing modern society. ComputEyes is our effort toward producing responsible, engineering-grounded insights on AGI readiness and humanitarian focused AGI technologies — including practical policy research, regulatory guidance, and B2B development support — so that progress does not leave people behind.
Commercial parties and researchers interested in partnering with our efforts can inquire at Partners@Intrafere.com.
Why does this research matter now?
Society has consistently underestimated how quickly transformative technologies reshape labor, governance, and daily life. AGI is a consequential technology for human history, and the frameworks needed to absorb it — policy, economic safety nets, regulatory structures — should not be built reactively when avoidable. They should be designed in advance. The window between ASI existing today and widespread AGI deployment is finite.
Is ComputEyes driven by fear of AGI?
No. ComputEyes was formed because we believe AGI will be one of the most powerful tools humanity has ever created — with the potential to accelerate medicine, eliminate poverty, and dramatically improve quality of life for people everywhere. We are optimistic about that future. ComputEyes exists because we hope Intrafere can assist in theoretical understanding with AGI, just as it did with MOTO ASI and Top-P exploration. We encourage every AI-involved company to undertake this kind of research alongside their product work.
How unprepared is society, really?
Most governments have no specific AGI policy. Most economists have not modeled AGI-level automation scenarios. Most workforce transition programs assume incremental change, not the wholesale cognitive automation that AGI represents. The research community studying these societal impacts is a small fraction of the research community building the systems themselves. That asymmetry is a gap ComputEyes and many other independent research groups hope to close.