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Report: Kimi K3.1 Pro and DeepSeek V4.1 Flash leaned on GPT-6 Astra outputs, The Information says

According to a post on X by @theinformation, The Information reports that Kimi K3.1 Pro and DeepSeek V4.1 Flash relied heavily on GPT-6 Astra outputs after Anthropic made Claude much harder to extract. Neither lab has commented. Rui Ma notes that Anthropic reportedly told investors distillation accounted for about 5 to 7% of its revenue. The report ties a shift in extraction activity to Anthropic's tighter defenses.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-29T22:25:00+00:00 Detected 2026-10-30T01:18:57+00:00
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According to a post on X by @theinformation, The Information reports that Kimi K3.1 Pro and DeepSeek V4.1 Flash relied heavily on GPT-6 Astra outputs after Anthropic made Claude much harder to extract. Neither lab has commented. Rui Ma notes that Anthropic reportedly told investors distillation accounted for about 5 to 7% of its revenue. The report ties a shift in extraction activity to Anthropic's tighter defenses.

AI-assisted summary based on the listed source.

The Information reports Kimi K3.1 Pro and DeepSeek V4.1 Flash leaned heavily on GPT-6 Astra outputs after Anthropic made Claude far harder to extract; neither lab has commented. Rui Ma notes Anthropic reportedly told investors distillation was about 5 to 7% of its revenue, and policy voices want OpenAI and Google...

The story puts model distillation at the center of the US-China AI race, and it could shape how AI labs protect their models. Policy voices want OpenAI and Google to adopt similar defenses, which may influence how developers and businesses access frontier models. Watch for responses from the named labs and for progress on the pending model-theft legislation.

Business readers can use this as a signal of where capital, competition, or market attention is moving.

Signal Strength 92% Technical label WATCH Public Interest 49 Category MONEY Reader Depth GENERAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 90 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 34 Curiosity Score 16 Shareability Score 61

VQV surfaced this signal because it is recent, relevant to Consumer AI, connected to Scobleizer News Pulse (X).