[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI
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Latent Space
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Why it matters
Explains how verifiable-reward RL and tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → efficiency work shape the models you build agents on, which informs what to expect in tool useA model's ability to call external functions — run code, search the web, edit files — instead of only generating text.Full definition →, cost and latency.
Terms in this piece · Glossary
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
tool use — A model's ability to call external functions — run code, search the web, edit files — instead of only generating text.
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