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If an algorithm has "mastered natural language", I would expect it to be able to do some of the things language is for -- communicating information, receiving information, acting on the world... Not merely output something that statistically sounds like language.
Statistical mimicry is to language what a plastic toy picturing a bus is to public transportation innovation. It may look right, but it can't perform its function. A horse-drawn cart would be cruder, but could actually move people from A to B. It's cargo-cult AI.
I'm looking forward to seeing AI agents that: - Have a model of the world - Assume others do too - Use some form of language to update models on each side ... As well as many others things you use language for. It doesn't matter if their syntax is terrible.
Much like an airplane, language has a function. No matter how realistic you make your image of a plane, if it misses the function, you still haven't mastered human flight.pic.twitter.com/UX8LDecrvS
exactly...
I stopped a step earlier in this thread:https://twitter.com/prem_k/status/1223687201008934912?s=20 …
Understanding language goes beyond statistical learning of language models. It requires awareness of implicit agreements and making sense of conventional codes, few-shot generalization of contexts. IMO It’s not possible without embodiment and rich sources of percepts.
Can we simulate embodiment?
Google translate is pretty bad with Burmese and Latin, I noticed.
Less material to learn from. Latin in particular.
creele a él si no me crees a mi, @wannabegroncho
Jaja no hace falta me quede reflexionando estos días en tus palabras y me di cuenta que tenes razón. Igual creo que seguía desestimando lo divertidos que son esos algoritmos
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