The Elephant in the Room - Why AI Safety Demands Diverse Teams
How AIs think: Similarities and Differences vs. Human Thought
Stochastic Parrots in the Chinese Room - Coming to Terms with Thinking Machines
Superintelligence and the “Control Problem” - Gleaning Lessons for AI Safety
Cognitive Science Resources for Technologists
These are captured notes on current research, usually exploring topics using LLMs to both develop the topic and to test the LLM:
Notes on Leopold Aschenbrenner’s “Situational Awareness” paper
Writing the AI Alignment Act of 2025
The Artificial Intelligence Alignment Act of 2025
ChatGPT4: A theory of noise addiction in the workplace
[Perplexity: questions about gab.ai 3-26-28](https://www.davidrostcheck.com/Perplexity-questions-about-gab-ai-3-26-28-ac5f9ea464844865a6d90dd36d0a7962)
ChatGPT4: AI/human meta-culture 2-17-24
ChatGPT4: Human-Great Ape Differences 2-17-24
Claude V2 - AI alignment discussed via media works 12-1-23
Claude V2 - Creating an LLM agent framework 8-12-23
Claude V2 - Discussions about personality in LLMs 7-29-23
AI as a Thesis Advisor: A Human/AI Collaboration on Information Theory
Giving AI Ridiculously Complex Problems - Middle Eastern Conflict 10-31-23