Search papers, labs, and topics across Lattice.
3
1
7
8
This work uses the Headroom-Closed Index (HCI) to reveal the problems of existing LLMs, and introduces the RSI concept and its development roadmap: from improvement-execution autonomy, improvement-strategy autonomy, experience-acquisition autonomy, and environment-adaptation autonomy, to recursive meta-improvement.
LLM agent distillation leads to surprisingly high rates of behavioral mimicry, with some student models exhibiting tool-use habits *more* similar to their teachers than the teacher's own family members.
LLMs still fail to demonstrate expert-level proficiency, achieving only ~66% success on a new benchmark of real-world professional tasks spanning finance, healthcare, and law.
