PROMPTS FOR OPEN PROBLEMS

Summary from the TLDR AI newsletter

This post proposes different research problems in machine learning research. The ideas include design-based machine learning, a theory of competitive testing, going beyond average case evaluation certainty equivalence in LLM reasoning, and open source, open corpus language models. The research areas are all doable, there just needs to be a will to do it.