# My Perspective I'm an infrastructure manager who's been working with Linux since the Slackware 25-disk days. After dealing with too many package conflicts and dependency issues, I found Nix, which has been a game-changer for system reliability and reproducibility. I manage diverse infrastructure - legacy systems, cloud services, Linux administration, CI/CD pipelines, and both microservices and monolithic applications. I'm working on integrating AI into automation and exploring Kubernetes deployments with NixOS. In my personal time, I develop Nix derivations and work on projects like packaging LightBurn. ## The AI Governance Problem I'm very concerned about AI being used for nefarious reasons. We need guardrails in place, and communications for all forms of media should be scrutinized for potential public manipulation. With such a powerful tool, there needs to be governance at a public level that supersedes government control. Current AI development operates with minimal oversight. Companies deploy AI systems that can generate convincing text, images, and video content without robust mechanisms to prevent misuse. These same systems can be used to create coordinated disinformation campaigns, manipulate public opinion, and undermine trust in legitimate information sources. Government regulation alone is insufficient. Traditional regulatory frameworks move too slowly to keep pace with AI development, and individual governments lack jurisdiction over global AI systems. The governance structure needs to operate independently of both corporate profit motives and political cycles. Media manipulation through AI presents unprecedented risks. Synthetic content generation capabilities allow for the creation of false evidence, fabricated statements, and entirely fictitious events that appear authentic. Current detection methods lag behind generation capabilities, creating windows of vulnerability where false information can spread before being identified. ## Detection and Education I have an acute awareness of manipulation detection - something that's been more of a burden in the past, but for once in my life, it can be put to good use in this context. Public education and awareness are key components of any effective response. Most people cannot distinguish between AI-generated and authentic content, nor do they understand how algorithmic systems shape their information consumption. This knowledge gap creates vulnerability to influence operations at scale. The technical challenges I deal with in infrastructure are straightforward compared to the societal implications of AI deployment without proper oversight. We're building systems that can fundamentally alter how information flows through society, and we're doing it faster than we're building the safeguards to prevent abuse. Without proactive governance mechanisms, we risk creating a environment where truth becomes increasingly difficult to discern from sophisticated fabrication.