The author used Claude Code to analyze their LessWrong and EA Forum post history, along with Lichess rating data, to identify cognitive biases and communication patterns over seven years. The goal was self-improvement and exploring AI's potential to analyze personal data for insights.
The chart will appear after repeat observations. The current metric comes from the source.
18 source pointsReal observations only. History before source connection is not reconstructed.
This approach uses AI to reflect on personal data for self-awareness, highlighting potential for self-improvement through longitudinal analysis.
The text discusses cultural differences between China and the West, focusing on social media and communication styles. It highlights how Chinese social media is perceived as overwhelming and inauthentic by Western standards, and how these differences may pose challenges for AI safety awareness efforts in China.
yesterdayLessWrongThe 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.
4 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.
3 days agoLessWrongThe Corrigibility Research Fund aims to reward high-quality AI alignment research through retroactive prizes. The fund has awarded $27,000 so far and plans to distribute an additional $48,000, highlighting work from around two dozen researchers across a dozen teams. The fund manager emphasizes that prize sizes are not indicative of work quality and encourages feedback on improving the funding process.
2 days agoLessWrongThe 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.
5 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.
5 days ago