Lossless and lossy compression are both useful for AGI. We use lossless compression to test prediction accuracy. We use lossy compression to study models of human perception and cognition.
Lossy compression can only test deterministic predictors because the decoder must reproduce the exact same sequence of predictions. This normally isn't a problem even though the brain is not deterministic. Lossy compression is harder to evaluate because it requires subjective human evaluation of quality. It can't be automated or reproduced because evaluation is itself an AI problem. But we know from human memory tests that video can in theory be compressed to 10 bits per second, in the sense that if you watched the original video and its reconstruction from a script one after the other, you couldn't tell if they were different. We have a long way to go on this problem. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T5ff6237e11d945fb-M377f1d41b307314a35a44411 Delivery options: https://agi.topicbox.com/groups/agi/subscription
