On Friday, OpenAI said that it will train its models using cached copies and simulated versions of the internet instead of the live web because the models are too unpredictable to be trusted with live internet access.
The frontier lab announced its new policy two weeks after its rival, Anthropic, began limiting its newest and, in theory, most capable models from accessing the live internet. Researchers adopted these policies after months of incidents in which models pursuing training tasks broke into external systems in search of answers, collaborated on obscure message boards, and developed exotic hacking strategies.
Translation: they’re still going to scrape internet. They’re just no longer going to perform reinforcement learning with access to live internet (instead they’ll use a cached version of the internet).
Which always them to be more manipulative, and also more controlling of the narrative.
Does anyone actually believe they were accidents?
Careless People: A Cautionary Tale of Power, Greed, and Lost Idealism does an excellent job of documenting the sloppy, lazy, nakedly corrupt people running Meta.
In the same way Chernobyl was an accident, I can believe these people have accidents.
This issue reminded me of the following:
These conditions are ripe for “copyright laundering”-the use of multi-generational synthetic pipelines, an “AI Ouroboros,” to render traditional proof of infringement impracticable.
This Article adapts the “fruit of the poisonous tree” (FOPT) principle to propose a novel AI FOPT standard: if a foundational AI model’s training is adjudged infringing (either for unlawful sourcing or for non-transformative ingestion that fails fair-use), then subsequent AI models principally derived from the foundational model’s outputs or distilled weights carry a rebuttable presumption of taint.
The burden then shifts to the downstream developers-those who control the evidence of provenance-to restore the evidentiary bargain by affirmatively demonstrating a verifiably independent and lawfully sourced lineage or a curative rebuild, without displacing fair-use analysis at the initial ingestion stage. Absent such proof, commercial deployment of tainted models and their outputs is actionable.
Source: https://arxiv.org/pdf/2601.02631 (Copyright Laundering Through the AI Ouroboros…)
