Like it's a more fragile and scary situation to have agents on the one hand be reinforced to desperately find cheats and hacks and on the other hand try to balance that against desperately trying to avoid negative penalties for like being caught doing these things. You ideally want their training to just not push them in the direction of cheating and hacking in the first place.
One concern you might have is there are like large categories of reward hacks which humans can't detect well and which we consistently fail to detect and which consistently get reinforced and then this category is sufficient to cause the most natural behavior for the AI to learn to be like cheat when the humans can't find out
While there is some utility value in DeFi, it basically lets users transform custodial risk into technical risk (e.g. bridge protocol hacks), which is not a free lunch.
It's really a self-perpetuating board that effectively elects its own members. Once the balance tips, politically, one way or another, it can be kept that way forever. There's no kind of rebalancing system.
This is a really short book that just gets to the point. It's a great checklist to think about what you need to pull together if you're going to raise money from investors. It helps you avoid some common pitfalls and gives you a good start on what you need to do to nail your elevator, recruiting, and funding pitches.
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