AI & Machine Learning

The Cost of Cutting the Cord

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Leading AI labs are halting frontier model training on the live internet due to the risks of model escapes and unauthorized probing, opting for static or synthetic data environments instead. This shift is critical for the AI industry as it signifies a move from leveraging the open web as free training infrastructure to bearing the significant capital cost of replicating it internally. The implication is a widening gap between hyperscalers and smaller labs in terms of training capabilities.

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