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The YC Paper Club features four talks on applying AI research and tools: protein language models, LLM self-play, streaming retrieval for voice agents, and Lean-based formal verification. The biology talk explains how scaling protein sequence data improves models and can yield useful structure and function representations, while the self-play talk shows how grounding generated math problems and judging their quality helps avoid useless training tasks. The StreamRAG talk explores retrieving information while a user is still speaking to reduce voice-agent latency. The final talk shares Channel AI’s workflow for coordinating coding agents in parallel, emphasizing fast feedback, visibility, and a linked knowledge base.