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Nice! I think you might find my draft on Dynamics of Healthy Systems: Control vs Opening relevant to these explorations, feel free to skim as it’s longer than ideal (hence unpublished, despite containing what feels like a general and important insight that applies to agency at many scales). I plan to write a cleaner one sometime, but for now it’s claude-assisted writing up my ideas, so it’s about 2-3x more wordy than it should be.
Interesting, yes. I think I see, and I think I disagree with this extreme formulation, despite knowing that this is remarkably often a good direction to go in. If “[if and only if]” was replaced with “especially”, I would agree, as I think the continual/regular release process is an amplifier on progress not a full requisite.
As for re-forming, yes, I do expect there is a true pattern we are within, which can be in its full specification known, though all the consequences of that specification would only fit into a universe. I think having fluidity on as many layers of ontology as you can is generally correct (and that most people have way too little of this), but I expect the process of release and dissolve will increasingly converge, if you’re doing well at it.
In the spirit of gently poking at your process: My uncertain, please take it lightly, guess is that you’ve annealed strongly towards the release/dissolve process itself, to the extent that it itself is an ontology which has some level of fixedness in you.
I’d love to see the reading time listed on the frontpage. That would make the incentives naturally slide towards shorter posts, as more people would click and it would get more karma. Feels much more decision relevant than when the post was posted.
Yup, DMing for context!
hmmm, I’m wondering if you’re pointing at something different from the thing in this space which I intuitively expect is good using words that sound more extreme than I’d use, or whether you’re pointing at a different thing. I’ll take a shot at describing the thing I’d be happy with of this type and you can let me know whether this feels like the thing you’re trying to point to:
An ontology restricts the shape of thought by being of a set shape. All of them are insufficient, the Tao that can be specified is not the true Tao, but each can contain patterns that are useful if you let them dissolve and continually release the meta-structures rather than cling to them as a whole. By continually releasing as much of your structure back to flow you grow much faster and in more directions, because in returning from that dissolving you reform with much more of your collected patterns integrated and get out of some of your local minima.
you could engage with the Survival and Flourishing Fund
Yeah! The S-process is pretty neat, buying into that might be a great idea once you’re ready to donate more.
Oh, yup, thanks, fixed.
Consider reaching out to Rob Miles.
He tends to get far more emails than he can handle so a cold contact might not work, but I can bump this up his list if you’re interested.
Firstly: Nice, glad to have another competent and well-resourced person on-board. Welcome to the effort.
I suggest: Take some time to form reasonably deep models of the landscape, first technical[1] and then the major actors and how they’re interfacing with the challenge.[2] This will inform your strategy going forward. Most people, even people who are full time in AI safety, seem to not have super deep models (so don’t let yourself be socially-memetically tugged by people who don’t have clear models).
Being independently wealthy in this field is awesome, as you’ll be able to work on whatever your inner compass points to as the best, rather than needing to track grantmaker wants and all of the accompanying stress. With that level of income you’d also be able to be one of the top handful of grantmakers in the field if you wanted, the AISafety.com donation guide has a bunch of relevant info (though might need an update sweep, feel free to ping me with questions on this).
Things look pretty bad in many directions, but it’s not over yet and the space of possible actions is vast. Best of skill finding good ones!
- ^
I recommend https://agentfoundations.study/, and much of https://www.aisafety.com/stay-informed, and chewing on the ideas until they’re clear enough in your mind that you can easily get them across to almost anyone. This is good practice internally as well as good for the world. The Sequences are also excellent grounding for the type of thinking needed in this field—it’s what they were designed for. Start with the highlights, maybe go on to the rest if it feels valuable. AI Safety Fundamentals courses are also worth taking, but you’ll want a lot of additional reading and thinking on top of that. I’d also be up for a call or two if you like, I’ve been doing the self-fund (+sometimes giving grants) and try and save the world thing for some time now.
- ^
Technical first seems best, as it’s the grounding which underpins what would be needed in governance, and will help you orient better than going straight to governance I suspect.
- ^
eh, <5%? More that we might be able to get the AIs to do most of the heavy lifting of figuring this out, but that’s a sliding scale of how much oversight the automated research systems need to not end up in wrong places.
My current guess as to Anthropic’s effect:
0-8 months shorter timelines[1]
Much better chances of a good end in worlds where superalignment doesn’t require strong technical philosophy[2] (but I put very low odds on being in this world)
Somewhat better chances of a good end in worlds where superalignment does require strong technical philosophy[3]
- ^
Shorter due to:
There being a number of people who might otherwise not have been willing to work for a scaling lab, or not do so as enthusiastically/effectively (~55% weight)
Encouraging race dynamics (~30%)
Making it less likely that there’s a broad alliance against scaling labs (15%)
Partly counterbalanced by encouraging better infosec practices and being more encouraging of regulation than the alternatives.
- ^
They’re trying a bunch of the things which if alignment is easy, might actually work, and no other org has the level of leadership buy in for investing in as hard.
- ^
Probably though using AI assisted alignment schemes, but building org competence in doing this kind of research manually so they can direct the systems to the right problems and sort slop from sound ideas is going to need to be a priority.
By “discard”, do you mean remove specifically the fixed-ness in your ontology such that the cognition as a whole can move fluidly and the aspects of those models which don’t integrate with your wider system can dissolve, as opposed to the alternate interpretation where “discard” means actively root out and try and remove the concept itself (rather than the fixed-ness of it)?
(also 👋, long time no see, glad you’re doing well)
I had a similar experience a couple years back when running bio anchors with numbers which seemed more reasonable/less consistently slanted towards longer timelines to me, getting:
before taking into account AI accelerating AI development, which I expected to bring it a few years earlier.
Also I suggest that given the number of tags in each section, load more should be load all.
This is awesome! Three comments:
Please make an easy to find Recent Changes feed (maybe a thing on the home page which only appears if you’ve made wiki edits). If you want an editor community, that will be their home, and the thing they’re keeping up with and knowing to positively reinforce each other.
The concepts portal is now a slightly awkward mix of articles and tags, with potentially very high use tags being quite buried because no one’s written a good article for it (e.g Rationality Quotes has 136 pages tagged, but zero karma, so requires many clicks to reach). I’m especially thinking about the use case of wanting to know what types of articles there are to browse around. I’m not sure exactly what to do about this.. maybe having the sorting not be just about karma, but a mix of karma and number of tagged posts? Like (k+10)*(t+10) or something? Disadvantage is this is opaque and drops alphabetical much harder.
A bunch of the uncategorized ones could be categorized, but I’m not seeing a way to do this with normal permissions.
Adjusting 2 would make it much cleaner to categorize the many ones in 3 without that clogging up the normal lists.
Nice! I’ll watch through these then probably add a lot of them to the aisafety.video playlist.
I’ve heard from people I trust that:
They can be pretty great, if you know what you want and set the prompt up right
They won’t be as skilled as a human therapist, and might throw you in at the deep end or not be tracking things a human would
Using them can be very worth it as they’re always available and cheap, but they require a little intentionality. I suggest asking your human therapist for a few suggestions of kinda of work you might do with a peer or LLM assistant, and monitoring how it affects you while exploring, if you feel safe enough doing that. Maybe do it the day before a human session the first few times so you have a good safety net. Maybe ask some LWers what their system prompts are, or find some well-tested prompts elsewhere.
Looks like Tantrix:
oh yup, sorry, I meant mid 2026, like ~6 months before the primary proper starts. But could be earlier.
Yeah, this seems worth a shot. If we do this, we should do our own pre-primary in like mid 2027 to select who to run in each party, so that we don’t split the vote and also so that we select the best candidate.
Someone I know was involved in a DIY pre-primary in the UK which unseated an extremely safe politician, and we’d get a bunch of extra press while doing this.
The new Moore’s Law for AI Agents (aka More’s Law) has accelerated at around the time people in research roles started to talk a lot more about getting value from AI coding assistants. AI accelerating AI research seems like the obvious interpretation, and if true, the new exponential is here to stay. This gets us to 8 hour AIs in ~March 2026, and 1 month AIs around mid 2027.[1]
I do not expect humanity to retain relevant steering power for long in a world with one-month AIs. If we haven’t solved alignment, either iteratively or once-and-for-all[2], it’s looking like game over unless civilization ends up tripping over its shoelaces and we’ve prepared.
An extra speed-up of the curve could well happen, for example with [obvious capability idea, nonetheless redacted to reduce speed of memetic spread].
From my bird’s eye view of the field, having at least read the abstracts of a few papers from most organizations in the space, I would be quite surprised if we had what it takes to solve alignment in the time that graph gives us. There’s not enough people, and they’re mostly not working on things which are even trying to align a superintelligence.