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But this argument applies just as well to tons of other tasks AIs can handle just fine. So it doesn't explain why this particular action is so much harder comp
by geysersam 2y ago
But this argument applies just as well to tons of other tasks AIs can handle just fine. So it doesn't explain why this particular action is so much harder compared to anything else.
- blueflow 2y agoWhich tasks?
- geysersam 2y ago> basic interactions with the world around you, tasks that seem easy to us but are actually quite complex Tasks such as: - recognizing objects in our surroundings, - speaking, - reasoning about other people's thoughts and feelings, - playing go? All of those were at some point "easy for us but very hard for computer programs".
- SkyBelow 2y agoIn particular, the task requires understanding that one can impact the world through action. This is learned by humans through a constant feedback loop running for months to a year+. The very way we train AIs doesn't seem to teach this agency, only teach the ability to mimic having that agency in ways that we can capture data for (such as online discussions). Will that training eventually give rise to such agency? I'm doubtful with most current models given that the learning process is so disconnected from the execution and that execution is prompted and not inherently on going. Maybe some agent swarm that is always running and always training and upgrading its members could achieve that level of agency, which is why I'm not saying it is impossible, but I expect we are going to have to wait for some newer model that is always running and which is training as it is running to see true agency develop. Until then, it is a question of if we can capture the appearance of agency in the training set well enough for learn it with training and not depend upon interactions to learn more.