VQV Signal

OPEN SOURCE WATCH TECHNICAL

OpenAI says its reverse-engineering refusals are a bug being fixed

According to a post on X by @AndrewCurran_, a list of the period's top posts (about 570 likes) reported that Eric S. Raymond warned OpenAI and Anthropic that blocking users from cleaning spyware off their own devices would push them toward open-weight models. OpenAI's @tszzl replied that the blocks are accidental results of hard decision boundaries, that reverse engineering with Codex is not prohibited, and that a fix is coming. The headline frames Anthropic as the next point of pressure, but the available text is cut off and does not include Anthropic's response.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-26T04:58:00+00:00 Detected 2026-10-26T13:20:18+00:00
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According to a post on X by @AndrewCurran_, a list of the period's top posts (about 570 likes) reported that Eric S. Raymond warned OpenAI and Anthropic that blocking users from cleaning spyware off their own devices would push them toward open-weight models. OpenAI's @tszzl replied that the blocks are accidental results of hard decision boundaries, that reverse engineering with Codex is not prohibited, and that a fix is coming. The headline frames Anthropic as the next point of pressure, but the available text is cut off and does not include Anthropic's response.

AI-assisted summary based on the listed source.

Eric S. Raymond warned OpenAI and Anthropic that blocking people from cleaning spyware off their own devices would drive users to open-weight models, and OpenAI's @tszzl replied that the blocks are accidental results of hard decision boundaries, that reverse engineering with Codex isn't prohibited, and that a fix...

Users who rely on AI coding tools to remove spyware from their own devices could see those refusals change if the promised fix ships. The headline names Anthropic as the next point of pressure, so users of its models may face similar questions. Watch for whether OpenAI publishes the fix and how Anthropic responds.

Signal Strength 82% Technical label WATCH Public Interest 44 Category OPEN SOURCE Reader Depth TECHNICAL

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 10 Curiosity Score 0 Shareability Score 61

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