Roman Yampolskiy: belief

Transcript context

…Well, that’s a human question, whether humans are capable of that. Probably, some humans are capable of that. My more direct question, if it’s possible to create such a system, have a system that has that level of agency. I don’t think that’s an easy technical challenge. It doesn’t feel like we’re close to that. A system that has the kind of agency where it can make its own decisions and deceive everybody about them. The current architecture we have in machine learning and how we train the systems, how to deploy the systems and all that, it just doesn’t seem to support that kind of agency. I really hope you are right. I think the scaling hypothesis is correct. We haven’t seen diminishing returns. It used to be we asked how long before AGI, now we should ask how much until AGI, it’s $1 trillion today it’s $1 billion next year, it’s $1 million in a few years. Don’t you think it’s possible to basically run out of trillions? So is this constrained by compute?…

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