I'm not sure you've read my posts on this topic? (1,2)
In the language used there, I don't think the groups you propose would help people overcome the minimum recommended resources, but are at the risk of creating the appearance some criteria vaguely in that direction are met.
Overall, I think sometimes small obstacles - such as having to find EAs from your country in the global FB group or on EA hub and by other means - are a good thing!
FWIW the Why not to rush to translate effective altruism into other languages post was quite influential but is often wrong / misleading / advocating some very strong prior on inaction, in my opinion
I don't think this is actually neglected
(more on the topic here)
For example, CAIS and something like "classical superintelligence in a box picture" disagree a lot on the surface level. However, if you look deeper, you will find many similar problems. Simple to explain example: problem of manipulating the operator - which has (in my view) some "hard core" involving both math and philosophy, where you want the AI to somehow communicate with humans in a way which at the same time allows a) the human to learn from the AI if the AI knows something about the world b) the operator's values are not "overwritten" by the AI c) you don't want to prohibit moral progress. In CAIS language this is connected to so called manipulative services.
Or: one of the biggest hits of past year is the mesa-optimisation paper. However, if you are familiar with prior work, you will notice many of the proposed solutions with mesa-optimisers are similar/same solutions as previously proposed for so called 'daemons' or 'misaligned subagents'. This is because the problems partially overlap (the mesa-optimisation framing is more clear and makes a stronger case for "this is what to expect by default"). Also while, for example, on the surface level there is a lot of disagreement between e.g. MIRI researchers, Paul Christiano and Eric Drexler, you will find a "distillation" proposal targeted at the above described problem in Eric's work from 2015, many connected ideas in Paul's work on distillation, and while find it harder to understand Eliezer I think his work also reflects understanding of the problem.
For example: You can ask whether the space of intelligent systems is fundamentally continuous, or not. (I call it "the continuity assumption"). This is connected to many agendas - if the space is fundamentally discontinuous this would cause serious problems to some forms of IDA, debate, interpretability & more.
(An example of discontinuity would be existence of problems which are impossible to meaningfully factorize; there are many more ways how the space could be discontinuous)
There are powerful intuitions going both ways on this.
I think the picture is somewhat correct, and we surprisingly should not be too concerned about the dynamic.
My model for this is:
1) there are some hard and somewhat nebulous problems "in the world"
2) people try to formalize them using various intuitions/framings/kinds of math; also using some "very deep priors"
3) the resulting agendas look at the surface level extremely different, and create the impression you have
4) if you understand multiple agendas deep enough, you get a sense
Overall, given our current state of knowledge, I think running these multiple efforts in parallel is a better approach with higher chance of success that an idea that we should invest a lot in resolving disagreements/prioritizing, and everyone should work on the "best agenda".
This seems to go against some core EA heuristic ("compare the options, take the best") but actually is more in line with what rational allocation of resources in the face of uncertainty.
Re: future of the program & ecosystem influences.
What bad things will happen if the program is just closed
All of that could be somewhat mitigated if rest of the funding ecosystem adapts; e.g. by creating more funds with intentional overlap, or creating others stream of funding going e.g. along geographical structures.
As a side-note: In case of the Bay area, I'd expect some funding-displacement effects. BERI grant-making is strongly correlated with geography and historically BERI funded some things which could be classified as community building. LTFF is also somewhat Bay-centric, and also there seem to be some LTFF grants which could be hypothetically funded by several orgs. Also some things were likely funded informally by local philantrophists.
To make the model more realistic one should note
meta: I considered commenting, but instead I'm just flagging that I find it somewhat hard to have an open discussion about the EA hotel on the EA forum in the fundraising context. The feeling part is
Overall my impression is posting critical comments would be somewhat antisocial, posting just positives or endorsements is against good epistemics, so the personally safest thing to do for many is not to say anything.
At the same time it is blatantly obvious there must be some scepticism about both the project and the outputs: the situation when the hotel seems to be almost out of runway repeats. While eg EA funds collect donations basically in millions $ per year, EA hotel struggles to collect low tens of $.
I think this equilibrium where
is not good for anyone, and has some bad effects for the broader community. I'd be interested in ideas how to move out of this state.
In practice, it's almost never the inly option - e.g. CZEA was able to find some private funding even before CBG existed; several other groups were at least partially professional before CBG. In general it's more like it's better if national-level groups are funded from EA