AI training on AI hallucinations called 'insanity'

By PulseAugur Editorial · [1 sources] · 2026-06-02 10:08

An opinion piece suggests that training AI models on datasets composed of earlier AI's hallucinations is a form of insanity. The author implies this recursive reliance on potentially flawed outputs creates a problematic feedback loop in AI development. This critique is framed within a broader commentary on the current state of AI and its major industry players. AI

IMPACT Critiques the recursive nature of AI training data, suggesting potential issues with model reliability and output quality.

RANK_REASON This is an opinion piece critiquing AI training methodologies.

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COVERAGE [1]

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-06-02 10:08

What Einstein meant to say was that insanity is training # AI on a training data-set that comprises largely the hallucinations of earlier AIs. # StochasticParro

What Einstein meant to say was that insanity is training # AI on a training data-set that comprises largely the hallucinations of earlier AIs. # StochasticParrots # Internet # TechBro # Broligarchy # Google # OpenAI # Apple # Meta # Grok # Musk # Zuckeberg # Altman

COVERAGE [1]

What Einstein meant to say was that insanity is training # AI on a training data-set that comprises largely the hallucinations of earlier AIs. # StochasticParro

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