Yeah, many ML applications are bottlenecked on availability of labels, not by compute. Especially once outside very well-defined and established task. I think s

Yeah, many ML applications are bottlenecked on availability of labels, not by compute. Especially once outside very well-defined and established task. I think self-supervised has large potential, at least in expanding ML applications towards "more general".