Reuters, reporting on The Information, says Chinese developers DeepSeek and Moonshot AI relied heavily on outputs from OpenAI’s GPT-6 Astra to train their latest models — Kimi K3.1 Pro and DeepSeek V4.1-Flash 1017. The practice, called distillation, lets rivals reproduce capabilities more quickly and cheaply, and it is now a flashpoint in the US-China AI race. OpenAI had already linked a distillation campaign that began in July to individuals associated with Moonshot AI, and Anthropic says its own defenses cut harvested data by up to 99 percent.
Storyline: Hook: Two rival models trained on OpenAI’s own answers. Context: The Information reports DeepSeek and Moonshot distilled GPT-6 Astra. Distillation means learning from another model’s outputs. Stakes: Kimi K3.1 Pro and DeepSeek V4.1-Flash both benefited. Rivals can copy skills faster and cheaper this way. Payoff: The race is no longer just who builds best. It is who guards answers best. Send this to one person who uses AI daily. Watch next: Google’s Gemini 4 Carbon — a new frontier model scoring 88.2% on a cybersecurity vulnerability benchmark, with early access limited to selected defenders. Links: Instagram reel: https://www.instagram.com/p/DfFlrBngGbW/ Source: https://www.reuters.com/technology/deepseek-moonshot-used-openais-gpt-6-astra-train-latest-models-information-2026-10-29/ https://www.instagram.com/simpleaiexplains/ https://buymeacoffee.com/simpleaiexplains
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