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Vinod Khosla argues against AI co-pilots, believing humans hinder their effectiveness, and predicts that by 2030, AI will fully replace roles like accountants and programmers.
This paper introduces the Human Utility Factor (HUF), a computable welfare metric that reframes AI governance as a constrained optimisation problem with measurable levers for automation depth, redistribution, and employment coverage, validated through multi-agent simulations.
A critical examination of how AI maximalists celebrate the obsolescence of human labor through next-token prediction, and the socioeconomic risks this attitude poses, particularly for vulnerable populations.
An opinion piece analyzing the potential economic and political consequences of AI replacing 20% of jobs, warning of a massive wealth transfer to AI companies and the creation of an oligarchy.