GRPO and RLVR Explained: How Reasoning Models Are Trained with Reinforcement Learning
GRPO and RLVR explained: how group-relative policy optimization and verifiable rewards train reasoning LLMs, with the math, a minimal training loop and.
OpenAI o3 and o4-mini Explained: The Reasoning-Model Lineage (2026)
OpenAI's o3 and o4-mini reasoning models explained: architecture, reasoning-token pricing, AIME/SWE-bench scores, and when to pick them over GPT-5.
GPT-5.6 Explained: OpenAI’s Sol, Terra, and Luna
GPT-5.6 explained: OpenAI's Sol, Terra, and Luna tiered family - architecture signals, reasoning modes, benchmarks, pricing, access, and how it compares in 2026.