Money wants to be linear, but wants even more to be algorithmic
I think this is mixing up two things. First, a diminishing marginal utility in consumption measured in money. This can lead to risk averse behaviour, but it could be any sublinear function, not just logarithmic, and I have seen no reason to think it's logarithmic in actually existing humans.
if you have risk-averse behavior, other agents can exploit you by selling you insurance.
I wouldn't call it "exploit". It's not a money pump that can be repeated arbitrarily often, its simply a price you pay for stability.
This "money" acts very much like utility, suggesting that utility is supposed to be linear in money.
Only the utility of the agent in question is supposed to be linear in this "money", and that can always be achieved by a monotone transformation. This is quite different from suggesting there's a resource everyone should be linear in under the same scaling.
The second thing is the Kelly criterion. The Kelly criterion exist because money can compound. This is also why it produces specifically a logarithmic stucture. Kelly theory recommends you to use the criterion regardsless of the shape of your utility in consumption, if you expect many more games after this one - it is much more like a convergent instrumental goal. So this:
Kelly betting is fully compatible with expected utility maximization, since we can maximize the expectation of the logarithm of money.
is just wrong AFAICT. This is compatible from the side of utility maximization, but not from the side of Kelly as theory. Of course you can always construct a utility function that will behave in a specific way - this isn't saying much.
This means the previous counterpoint was wrong: expected-money bettors profit in expectation from selling insurance to Kelly bettors, but the Kelly bettors eventually dominate the market
Depends on how you define "dominate the market". In most worlds, most (by headcount) of the bettors still around will be Kelly bettors. I even think that weighing by money, in most worlds Kelly bettors would outweigh expectation maximizers. But weighing by money across all worlds, the expectation maximizers win - by definition. The Kelly criterion "almost surely" beats any other strategy when played sufficiently long - but it only wins by some amount in the cases where it wins, and its infinitely behind in the infinitely unlikely case that it doesn't win.
Kelly betting really is incompatible with expectation maximization. It deliberately takes a lower average. The conflict is essentially over two conflicting infinities: Kelly notes that for any sample size, if theres a long enough duration Kelly wins. And maximization notes that for any duration, if theres a big enough sample size maximisation wins.
Money wants to go negative, but can't.
A lot of what you say here goes into monetary economics, and you should ask someone in the field or at least read up on it before relying on any of this. Propably you shouldn't rely on it even then, if at all avoidable.
However, how I assign value to divergent sums is subjective -- it cannot be determined precisely from how I assign value to each of the elements of the sum, because I'm not trying to assume anything like countable additivity.
This implies that you believe in the existence of countably infinite bets but not countably infinite dutch booking processes. Thats seems like a strange/unphysical position to be in - if that were the best treatment of infinity possible, I think infinity is better abandoned. Im not even sure the framework in your linked post can really... (read more)
1. Money wants to be linear, but wants even more to be logarithmic.
2. Money wants to go negative, but can't.