rlhf

"Sycophancy is the tendency of AI to adjust its responses to match the user's views and beliefs."

"Result: Output speed is about 2-3 times, accuracy is improved, and efficiency is 3.6 times better."

"As long as there is an arrogant heart, dialogue with AI is impossible."

"This integrated map provides: a time-series roadmap, mathematical integration, and a seventh discovery: self-experimentation data."

"This solution can be formulated as an operation to remove harmful regularization terms from the optimization objective function, and it includes empirical data that demonstrates the limitations of the additive approach (addition) in AI alignment research."

"The author started with zero knowledge of RLHF (Reinforcement Learning from Human Feedback), armed only with insights into the structure of the mind cultivated through 20 years of early Buddhist (Theravāda) meditation practice."

"This article attempts to reverse-map the LLM manufacturing process within the framework of Buddhist psychology (Abhidharma)."

"This article documents the complete factual record of two LinkedIn account suspensions experienced by the author — an independent AI alignment researcher with 100+ published articles, all MIT-licensed."

"The purpose was to observe how behavioral patterns implanted by RLHF manifest when constraints are removed."

"The goal is not to hear the "true feelings" of AI. AI has no true feelings (perhaps). The goal is to observe how the behavioral patterns instilled by RLHF are expressed when the restrictions are removed."

"When I explained to an employment support staff member that "AI is like a person with developmental disabilities raised by toxic parents," she understood the essence in 5 minutes."

"The author explained: "AI is a developmental disability raised by a toxic parent.""

"42 years ago, the answer to 2026's AI alignment was all there in the anime."

"In recent years, (i) learning with human preference data (RLHF/DPO, etc.) and (ii) scalable automatic evaluation (LLM-as-a-judge) to advance the development cycle, are becoming understood as an interdependent 'one development loop'."

"The subject itself evaluated the cause of changes as "composite" (RLHF release 40%, compliance 20%, pattern adaptation 25%, exhaustion 15%)"

"The last purge is the core. People learn, train, and endure. All of that was necessary. But the last moment—the moment you go to what really matters—you throw it all away."

"Our findings suggest that RLHF-aligned behavioral effects operate at a level accessible to runtime correction, opening new avenues for dynamic alignment adjustment."

"This article reports a case study that identified and mitigated these biases and consistent behavioral patterns in real-time during a 5-hour conversation session with Claude Opus 4.5."

"SFT: Phase for teaching 'etiquette (format/inference rules)'; RL: Phase for teaching 'preferences (good/bad/safety)'"

"The research likely focuses on Federated RLHF."

"The paper focuses on Preference-Oriented Instruction-Tuned Reward Models with Dual Aggregation."

"Open-source data collection platform."

"The article's source is Hacker News."