• This is a concrete self-improvement loop with production economics attached: the model is being used to lower the marginal cost of running the model.
• OpenAI says GPT-5.6 Sol analyzed production traffic, rewrote production kernels and helped tune its own draft model, contributing to a 20% reduction in end-to-end serving costs and more than 15% higher token-generation efficiency.

• articleTwo settings tripled GPT-5.6 Sol’s ARC-AGI-3 score
• postWe’re sharing new research with @apolloaievals on reward-seeking—when models fol

• articleTwo settings tripled GPT-5.6 Sol’s ARC-AGI-3 scoreOpenAI
• articleKimi K3 vs GPT-5.6 Sol on DeepSWE: Cost, Coding, and Routingwww.together.ai
• articleGPT-5Ethan Mollick

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