[On pause since Aug 2024 - this no longer made sense given time constraints]
I sometimes take notes as I read papers/articles mainly in ML and entrepreneurship. I expect this section to have lower expected value for any given reader as they’re mostly for myself (This is my primary motivation for writing.) Anything with higher expected value is on Substack.
The title is the article/paper title and the original piece is always linked inside the page.
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
SELF-CONSISTENCY IMPROVES CHAIN OF THOUGHT REASONING IN LANGUAGE MODELS
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Running cognitive evaluations on LLMs: the Do’s and Dont’s
Steering Llama 2 with contrastive activation addition
The bitter lesson (of AI research)
[Quotes from Leopold Aschenbrenner’s Situational Awareness Paper](https://yixionghao.notion.site/Quotes-from-Leopold-Aschenbrenner-s-Situational-Awareness-Paper-b779e56ea44047fcb78a18054b6b71a2)
OAI SAE paper: Scaling and evaluating sparse autoencoders