🔔 New paper from OpenAI - this is big for AI.

If we can understand why AI hallucinates, we’ll be able to build models that don’t hallucinate at all. Large language models often guess when uncertain, producing convincing but false answers. This happens because current training and evaluation reward confidence over honesty.

Hallucinations stem from statistical errors, reinforced by benchmarks that penalize admitting uncertainty. To fix this, the paper authors propose changing how benchmarks score uncertainty, which could steer the field toward more trustworthy AI.

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Geoffrey Hinton: ‘AI will make a few people much richer and most people poorer’

No lie detected.

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Professor Roman Yampolskiy predicts AGI by 2027.

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This Exchange Between Tucker Carlson & Sam Altman Is INSANE!

The head of OpenAI, Sam Altman, has been accused of killing one of his employees. During an interview, Tucker Carlson bombarded him with uncomfortable questions, causing him to even start stuttering.

Is he hiding something? 🤔

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OpenAI former CRO, Bob McGrew:

In early AGI discussions around 2018, a common fear was that it would "come alive over a weekend and take over the world". But this missed a crucial step: powerful AI doesn't just happen; it needs human adoption, exploration, and integration

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