Voices
TNW finds the contradiction inside OpenAI's own data: a 59.2% GPU cut to Astra-class training moved compute rather than removing it
Ana Maria Constantin's September 6 analysis pairs Pachocki's slowdown essay against OpenAI's research post and reports that when safety restrictions forced a 59.2% reduction in Astra-class GPU allocation, other model classes absorbed 85% of the decline, so "compute stays valuable and flows into other uses." She also notes that over half of successful four-to-eight-hour agent tasks required at least one human intervention, while internal support channels have gone quiet. She frames the essay as a response to the July 20 infrastructure compromise and August 7 cyber concerns rather than as an abstract argument.
Source
↳ Follow the thread