ie, will brian-machado, or anyone else, accomplish Nat Friedman's dream, by the end of the year?
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@jim I agree it needs to be able to clear a lawn, ideally available for sale. (Or at least Nat owns one)
Here's a public demonstration! https://twitter.com/Michaellaskey7/status/1783300398209712556
Designed in 24 hours in response to Nat's challenge. https://twitter.com/danieljkchoi/status/1783338086409335108
@Bayesian Does it count if the robot is biological or does it have to be made out of common robot components?
@Tumbles If Nat Friedman considers it to have fulfilled his dream, then it resolves YES. I'm not exactly sure if he would count biological robots, but if they are robot-y enough he probably would.
@Bayesian What if the robot has theoretical leaf-picking-up applications but is only used for pinecone-picking-up and is lost or stolen before it can be tested for leaves
@Tumbles Does Nat Friedman consider it to have fulfilled his dream, in this hypothetical? just curious.
@Bayesian He isn't sure, he's having a bit of a crisis and feels like he needs external support figuring out his dreams. He feels so disappointed that the robot was lost before he could have it that he is having trouble engaging in the hypothetical scenario of having received it. A real funk. His therapist recommends he ask @Bayesian for technical advice as part of his treatment plan for moving forward
@Tumbles His therapist clearly is looking out for his best interests, then. In this hypothetical scenario, future Bayesian would successfully convince Nat Friedman to put everything else aside, shut up, and do the impossible: realizing whether or not his previous self's dreams have been fulfilled. He would do this not because it is easy, but because it is hard. Facing the horror of loss, and being able to pass judgements about whether the lost thing fulfills one's previously stated dreams.. is that not what life is all about? Nat would agree, and pass his judgement.
@Tumbles thank you for the precise questions. they're really pushing me to clarify the resolution criteria in a situation that is likely to come up as an interesting, though tragic, edge case
@Bayesian Real talk though, I'd much prefer if you write your own resolution criteria rather than relying on someone who's not on manifold to give imprecise judgements at some point in the future. I can't bet on this as is.