בקרת מאמץ תהליכי היגיון במודלים LLM

תקציר מקורי באנגליתIt has been almost two years since OpenAI released o1, a model that popularized the idea of LLM-based reasoning models. DeepSeek-R1 followed about four months later, together with details of a reinforcement learning with verifiable rewards (RLVR) recipe to train such reasoning models. Last week, OpenAI released the GPT-5.6 model family. It comes in three sizes, each with roughly five or six reasoning-effort settings. Figure 1: The GPT 5.6 Sol model with different reasoning effort settings. (Benchmark numbers for Ultra are currently not available but should be relatively similar to Max, since it uses a similar effort level but accelerates the work with four subagents.) So yes, reasoning models are here to stay. They have become a standard part of modern model releases. In the past, I covere