#newt $NEWT @NewtonProtocol
I'm still not convinced we've learned much from the last few cycles. We just seem to rename the same questions every couple of years and hope they sound different this time.
Lately it's AI. Before that it was something else. The excitement changes but the uncomfortable parts usually don't.
One thing I keep thinking about is what happens when intelligent agents stop being personal experiments and start becoming things people deploy, copy sell and rely on. A marketplace for strategies sounds efficient on paper. In practice it raises questions that don't have clean answers.
Who owns responsibility when an agent behaves exactly as designed but still causes damage? Who verifies that the strategy you're trusting deserves that trust in the first place? Intelligence isn't really the difficult part anymore. Accountability feels much harder.
That's probably why Newton Protocol ended up on my radar. Not because of the AI angle itself but because it seems to acknowledge that if autonomous systems are going to interact with real assets the environment they operate in matters at least as much as the models making decisions.
I've watched crypto spend years trying to remove intermediaries while AI seems to be creating entirely new ones. Maybe that's inevitable. Maybe it isn't.
I still can't tell whether we're building better systems or simply finding more sophisticated ways to outsource trust. I suspect the answer won't become obvious until the markets make the decision for us.
I'm still not convinced we've learned much from the last few cycles. We just seem to rename the same questions every couple of years and hope they sound different this time.
Lately it's AI. Before that it was something else. The excitement changes but the uncomfortable parts usually don't.
One thing I keep thinking about is what happens when intelligent agents stop being personal experiments and start becoming things people deploy, copy sell and rely on. A marketplace for strategies sounds efficient on paper. In practice it raises questions that don't have clean answers.
Who owns responsibility when an agent behaves exactly as designed but still causes damage? Who verifies that the strategy you're trusting deserves that trust in the first place? Intelligence isn't really the difficult part anymore. Accountability feels much harder.
That's probably why Newton Protocol ended up on my radar. Not because of the AI angle itself but because it seems to acknowledge that if autonomous systems are going to interact with real assets the environment they operate in matters at least as much as the models making decisions.
I've watched crypto spend years trying to remove intermediaries while AI seems to be creating entirely new ones. Maybe that's inevitable. Maybe it isn't.
I still can't tell whether we're building better systems or simply finding more sophisticated ways to outsource trust. I suspect the answer won't become obvious until the markets make the decision for us.