I have doubts that the claim about "theoretically optimal" apply to this case.

Now, you have not provided a precise notion of optimality, so the below example might not apply if you come up with another notion of optimality or assume that voters collude with each other, or use a certain decision theory, or make other assumptions... Also there are some complications because the optimal strategy for each player depends on the strategy of the other players. A typical choice in these cases is to look at Nash-equilibria.

Consider three charities A,B,C and two players X,Y who can donate $100 each. Player X has utilities $1$, $0.9$, $0$ for the charities A,B,C. Player Y has utilities $0$, $0.9$, $1$ for the charities A,B,C.

The optimal (as in most overall utility) outcome would be to give everything to charity B. This would require that both players donate everything to charity B. However, this is not a Nash-equilibrium, as player X has an incentive to defect by giving to A instead of B and getting more utility.

This specific issue is like the prisoners dilemma and could be solved with other assumptions/decision theories.

The difference between this scenario and the claims in the literature might be that public goods is not the same as charity, or that the players cannot decide to keep the funds for themselves. But I am not sure about the precise reasons.

Now, I do not have an alternative distribution mechanism ready, so please do not interpret this argument as serious criticism of the overall initiative.

There is also Project Quine, which is a newer attempt to build a self-replicating 3D printer

This was already referenced here: https://www.lesswrong.com/posts/MW6tivBkwSe9amdCw/ai-existential-risk-probabilities-are-too-unreliable-to

I think it would be better to comment there instead of here.

One thing I find positive about SSI is their intent to not have products before superintelligence (note that I am not arguing here that the whole endeavor is net-positive). Not building intermediate products lessens the impact on race dynamics. I think it would be preferable if all the other AGI labs had a similar policy (funnily, while typing this comment, I got a notification about Claude 3.5 Sonnet... ). The policy not to have any product can also give them cover to focus on safety research that is relevant for superintelligence, instead of doing some shallow control of the output of LLMs.

To reduce bad impacts from SSI, it would be desirable that SSI also

• have a clearly stated policy to not publish their capabilities insights,
• take security sufficiently seriously to be able to defend against nation-state actors that try to steal their insights.

It does not appear paywalled to me. The link that @mesaoptimizer posted is an archive, not the original bloomberg.com article.

I haven't watched it yet, but there is also a recent technical discussion/podcast episode about AIXI and relatedd topics with Marcus Hutter: https://www.youtube.com/watch?v=7TgOwMW_rnk

It suffices to show that the Smith lotteries that the above result establishes are the only lotteries that can be part of maximal lottery-lotteries are also subject to the partition-of-unity condition.

I fail to understand this sentence. Here are some questions about this sentence:

• what are Smith lotteries? Ctrl+f only finds lottery-Smith lottery-lotteries, do you mean these? Or do you mean lotteries that are smith?

• which result do you mean by "above result"?

• What does it mean for a lottery to be part of maximal lottery-lotteries?

• does "also subject to the partition-of-unity" refer to the smith lotteries or to the lotteries that are part of maximal lottery-lotteries? (it also feels like there is a word missing somewhere)

• Why would this suffice?

• Is this part also supposed to imply the existence of maximal lottery-lotteries? If so, why?

This sounds like https://www.super-linear.org/trumanprize. It seems like it is run by Nonlinear and not FTX.

I think Proposition 1 is false as stated because the resulting functional $f^{+}:M^{\pm }\left(X\right)\oplus R\to R$ is not always continuous (wrt the KR-metric). The function $f:[0,1]\to [0,1]$, $x\mapsto x^{1/3}$ with $X=[0,1]$ should be a counterexample. However, the non-continuous functional $f^{+}$ should still be continuous on the set of sa-measures.

Another thing: the space of measures $M^{\pm }\left(X\right)$ is claimed to be a Banach space with the KR-norm (in the notation section). Afaik this is not true, while the space is a Banach space with the TV-norm, with the KR-metric/norm it should not be complete and is merely a normed vector space. Also the claim (in "Basic concepts") that $M^{\pm }\left(X\right)$ is the dual space of $C\left(X\right)$ is only true if equipped with TV-norm, not with KR-metric.

Another nitpick: in Theorem 5, the type of $h$ in the assumption is probably meant to be $C\left(X\right)\to R\cup \{-\infty \}$, instead of $C\left(X\right)\to R$.