A Defense of Gradual Disempowerment
A blog post defending the Gradual Disempowerment paper against critics, arguing that competitive pressures and misaligned societal systems could cause existential catastrophe even if individual AIs are aligned.
Research / Sources
Discussion and research on AI alignment. alignmentforum.org
A blog post defending the Gradual Disempowerment paper against critics, arguing that competitive pressures and misaligned societal systems could cause existential catastrophe even if individual AIs are aligned.
A former Google DeepMind researcher describes leaving over Google's DHS cloud contracts and a Pentagon military AI deal lacking limits on autonomous weapons and mass surveillance, and how AI ethics commitments failed under pressure.
Argues the main bottleneck for AI safety is policymakers' lack of awareness of catastrophic risk, so advocacy and engagement should be prioritised over research, with supporting evidence on NGO submissions and enforcement gaps.
Podcast interview with Guive Assadi arguing that granting AIs property rights would deter them from stealing from or killing humans, since expropriation would undermine the property system they rely on.
Argues that draconian compute controls meant to slow AI risk could enable authoritarian lock-in and may raise catastrophic risk, and that export controls and KYC rules carry costs that must be weighed.
Speculative economic analysis of whether the leading AI country could outgrow the rest of the world via superexponential growth, giving it a decisive strategic advantage without military action, and how technological diffusion and trade affect this.
A conceptual critique of the Gradual Disempowerment threat model, arguing it matters mainly as a lens on misalignment and power concentration, and that its economic, cultural and state mechanisms are less convincing without misalignment.
Argues that giving each person an aligned AI representative does not solve gradual disempowerment, since states and corporations gain stronger coordination and cognition, so institutions aligned with citizens are needed.
Proposes and ranks object-level interventions against gradual disempowerment from AI, mainly mandatory model interoperability for alignment and fine-tuning, aligned personal AI representatives, and societal awareness, while deprioritizing other approaches.
A research agenda for gradual disempowerment, the risk that AI erodes human influence over society, listing open questions on interactions with other risks, counterarguments, indicators, and civilisational alignment.
A report arguing that advanced AI could let a small group seize power via coups, through singularly loyal AI workforces and secret loyalties, and recommending developer and government mitigations.
Argues AI safety should be reframed as an ongoing institutional challenge rather than a technical alignment problem, prioritising governmental capacity, transparency, accountability and disaster preparedness.</reasoning_effort>
Analyses three feedback loops (software, chip design, chip production) that could drive different types of intelligence explosion, estimating possible effective-compute gains and their implications for power concentration.
An essay on why smart researchers resist the gradual disempowerment argument, describing recurring evasion patterns such as shell games, flinches, and institutional incentives that shape AI risk thinking.
Argues that incremental AI gains, without coordinated power-seeking, can gradually erode human influence over economies, states and culture, possibly leading to permanent disempowerment, and that alignment of individual systems is insufficient.