4 ms·
I agree, transformer models trained solely on animal language may be able to predict the next "token" and generate coherent animal "sentences", even if we don't
by arcastroe 2y ago
I agree, transformer models trained solely on animal language may be able to predict the next "token" and generate coherent animal "sentences", even if we don't understand what any of those sounds/vocalizations mean.
However, I do think there is a path to some sort of translation to human languages. An English dictionary may seem pointless because it defines every word using only other English words. But the meaning is contained in the _relationship_ between the words.
The _relationship_ between certain animal-language tokens may look close enough to the _relationship_ between certain human-language tokens to bridge the gap, even if both languages are entirely disconnected and we've never seen a direct translation between them.
- hun3 2y agoSee also: word embedding and sentence embedding models
- hackinthebochs 2y agoJust correlate the tokens with the state of the environment and surrounding behavior and the meaning should reveal itself. The extent that vocalizations predict subsequent environment states, or the environment predicts subsequent words, is the meaning captured by those vocalizations.
- 082349872349872 2y agoto what extent do ethologists already (manually) look for these correlations?