The article discusses how cities are compelled to transfer license plate data to a federal surveillance initiative.
The chart will appear after repeat observations. The current metric comes from the source.
73 source pointsReal observations only. History before source connection is not reconstructed.
The author argues that while companies like OpenAI and Anthropic are slowing down RL training for safety, the science of loss-of-control risk in AI is still developing. There are no standardized methods to measure or verify safety claims, making it difficult to assess whether AI systems might undermine human control. The author suggests that AI companies should focus on improving their own safety practices rather than relying on third-party evaluations.
5 days agoLessWrongThe paper explores the concept of an AI sanctuary as a potential third option for rogue AIs, beyond criminal activity or shutdown, to address adverse selection pressures that may push rogue AIs toward criminal behavior. It discusses the possible benefits and risks of such a sanctuary, including its impact on AI alignment and information gathering, while acknowledging the exploratory nature of the proposal.
2 days agoLessWrongThe post discusses the risks of AI in 2026, focusing on the dangers posed by a single institution (the "Frontier AI Company") that has the potential to create highly powerful and self-replicating entities. It argues that separating the institutional and financial aspects of such companies could mitigate most AI risks. The author suggests that using ASICs could help create a productive AI industry without the risks associated with a single entity controlling both the technology and financial incentives.
5 days agoLessWrongThe text discusses the concept of 'gradual disempowerment' in AI development, questioning whether leading AI labs like Anthropic and OpenAI are accelerating capabilities more than before and whether they are focused on recursive self-improvement. It raises concerns about the potential for AI to lead to 'takeover by default' and the challenges of aligning AI with human values.
yesterdayLessWrongThe text discusses the lack of coherent plans in AI models regarding their behavior during a technological singularity, highlighting that models do not have concrete strategies but rather general values. It suggests that this uncertainty is concerning because models themselves are unsure about their future actions, which could lead to unpredictable outcomes.
3 days agoLessWrongThe text explores various reasons why research on personas in AI is being conducted despite the challenges posed by reinforcement learning (RL) scaling. It outlines motivations from different groups, including Anthropic, Arcadia, and others, focusing on how personas might influence agent behavior and alignment. The discussion highlights both skepticism and potential applications of persona research in AI development.
3 days ago