plex

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plex153

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.

  1. ^

    An extra speed-up of the curve could well happen, for example with [obvious capability idea, nonetheless redacted to reduce speed of memetic spread].

  2. ^

    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.

plex20

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Healthy Systems: Control vs Opening relevant to these explorations, feel free to skim as it's longer than ideal (hence unpublished, despite containing what feels like a general and important insight that applies to agency at many scales).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.

plex*20

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.

plex42

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.

plex40

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.

plex235

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.

plex2011

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!

  1. ^

    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.

  2. ^

    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.

plex40

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.

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