multi turn reasoning

Allowing reasoning 'over multiple context windows' is explicit multi-turn strategy for intelligence compounding

Claude's ability to find vulnerabilities depends on maintaining state across multiple turns: read code → hypothesize → execute → observe → refine hypothesis

Multi-turn sessions with reflection loops could mitigate additive bias by allowing agents to reconsider and refactor solutions. This requires context preservation across turns.

The finding that stronger models are 'more effective at operating over longer horizons' suggests that multi-turn conversations (which extend the reasoning horizon) should compound performance improvem

Autoreview 'running for hours' suggests multi-step reasoning process where agent maintains context across extended execution, similar to multi-turn conversations

Agents inherently require multi-turn interactions where context from previous steps informs next steps. The guide likely demonstrates how conversation history and intermediate results are preserved.