On the other hand, humans are good at active learning — selecting the datapoints which lead to the most efficient progress. Relative to Chinchilla scaling laws which assume no active learning, humans may be using their computation far more efficiently.
On the other hand, humans are good at active learning — selecting the datapoints which lead to the most efficient progress. Relative to Chinchilla scaling laws which assume no active learning, humans may be using their computation far more efficiently.