Here are some thoughts about the recent back-and-forth where Will MacAskill reviewed IABI and Rob Bensinger wrote a reply and Will replied back. I'm making this a quick take instead of a full post because it gets kinda inside baseball/navelgazy and I want to be more chill about that than I would be in a full writeup.
First of all, I want to say thank you to Will for reviewing IABI. I got a lot out of the mini-review, and broadly like it, even if I disagree on the bottom-line and some of the arguments. It helped me think deep thoughts.
The evolution analogy
I agree with Will that the evolution analogy is useful and informative in some ways, but of limited value. It’s imperfect, and thinking hard about the differences is good.
The most basic disanalogy is that evolution wasn’t trying, in any meaningful sense, to produce beings that maximise inclusive genetic fitness in off-distribution environments.
I agree with this, and I appreciate MacAskill talking about it.
But we will be doing the equivalent of that!
One of the big things that I think distinguishes more doomy people like me from less doomy people like Will is our priors on how incompetent people are. Like, I agree ... (read more)
IABI says: "Transistors, a basic building block of all computers, can switch on and off billions of times per second; unusually fast neurons, by contrast, spike only a hundred times per second. Even if it took 1,000 transistor operations to do the work of a single neural spike, and even if artificial intelligence was limited to modern hardware, that implies human-quality thinking could be emulated 10,000 times faster on a machine— to say nothing of what an AI could do with improved algorithms and improved hardware.
@EigenGender says "aahhhhh this is not how any of this works" and calls it an "egregious error". Another poster says it's "utterly false."
(Relevant online resources text.)
(Potentially relevant LessWrong post.)
I am confused what the issue is, and it would be awesome if someone can explain it to me.
Where I'm coming from, for context:
The passage seems fine to me; I commented on Erdil's post and other brain efficiency discussions at the time, and I still think that power consumption is a more objective way of comparing performance characteristics of the brain vs. silicon, and that various kinds of FLOP/s comparisons favored by critics of the clock speed argument in the IAB passage are much more fraught ([1], [2]).
It's true that clock speed (and neuron firing speed) aren't straightforwardly / directly translatable to "speed of thought", but both of them are direct proxies for energy consumption and power density. And a very rough BOTEC shows that ~10,000x is a reasonable estimate for the difference in power density between the brain and silicon.
Essentially, the brain is massively underclocked because of design-space restrictions imposed by biology and evolution, whereas silicon-based processing has been running up against fundamental physical limits on component size, clock speed, and power density for a while now. So once AIs can run whatever cognitive algorithms that the brain implements (or algorithms that match the brain in terms of high-level quality of the actual thoughts) at any speed, the already-existing... (read more)
Sweet. Thanks for the thoughtful reply! Seems like we mostly agree.
I don't have a good source on data efficiency, and it's tagged in my brain as a combination of "a commonly believed thing" and "somewhat apparent in how many epochs of training on a statement it takes to internalize it combined with how weak LLMs are at in-context learning for things like novel board games" but neither of those is very solid and I would not be that surprised to learn that humans are not more data efficient than large transformers that can do similar levels of transfer learning or something. idk.
So it sounds like your issue is not any of the facts (transistor speeds, neuron speeds, AIs faster that humans) but rather the notion that comparing clock speeds and how many times a neuron can spike in a second is not a valid way to reason about whether AI will think faster than humans?
I'm curious what sort of argument you would make to a general audience to convey the idea that AIs will be able to think much faster than humans. Like, what do you think the valid version of the argument looks like?
I actually now think the direct argument given in IABIED was just directionally correct, and I was being confused in my objection, which Max H explains.
It's fine to use the argument now.
Does anyone know someone who is researching, or would like to research the intersection of corrigibility and model welfare (eg does training to empower humans naturally lead towards more or less neurosis)? Interested both in math/theory and interp/experiment.
(I would like to direct funding here, if there are good opportunities.)
(This quick take is mostly meant to be a trailhead for a discussion with Robi Rahman that was on Twitter. LW is just objectively a better platform for such things, and this way the conversation can still be public.)
[Does anyone] have any evidence for [moral realism]? The best anyone has ever come up with are ethical intuitionism ("it just feels like it's true" from people who don't understand evolution) or divine command theory from theists (which I'm guessing most at the party are not).
... I'm asking if there is any evidence at all that any moral claim is truth-apt, besides some people thinking they have a feeling of truthiness, and besides evidence that there might be a deity who ordains moral truth.
To start, let me try to say some things that I hope are points of agreement. If they aren't, it's probably worth stopping to recurse on them, rather than continuing on to the harder stuff:
I mostly agree with all of your supposedly uncontroversial starting points, though I'm sufficiently unsure on the last two that I'd prefer to hear arguments for moral realism that don't rely on them.
About your more controversial points:
- You should pay back your debts, even when nothing is forcing you to, in situations that are real-world analogs of Parfit's Hitchhiker/Newcomb's Problem.
- ^ this statement is a moral fact that is objectively true.
There are two very different ways to interpret the first statement, particularly the word "should".
The first interpretation of that is plausible to me, and is truth-apt. The second interpretation is an opinion, not a moral fact. I strongly agree with the second one, but it doesn't have a truth value, it's just a personal stance, even if most people share it (indeed, even if everyone in the world agrees).
Ans... (read more)
Defining morality while tabooing moral, ethical, right, wrong, good, bad, ought, should, duty, obligation, permissible, virtue, and cognate words:
Humans sometimes classify actions, intentions, people, institutions, and outcomes using positive, negative, or neutral labels that supposedly do more than describe what happened, predict consequences, report a law or custom, state what anyone wants, or identify an effective means to a chosen end.
Central examples of things that receive these classifications concern causing pain, killing, deception, coercion, keeping promises, helping people in distress, and distributing burdens and benefits. They contrast with judgments about which chess move wins, which investment earns more money, which action is legal, which behavior is fashionable, or which policy best fulfills a specified utility function.
The disputed question is whether some applications of these labels accurately represent features or relations that are not made accurate merely by anyone’s preferences, commitments, conventions, or decisions. My position is that applying the labels expresses attitudes; it does not report an additional feature of the action.
By "morality" I mean the hu... (read more)
Here are my current thoughts on "human values." There are a decent number of confusions here, which I'll try to flag either explicitly or with a (?).
Let's start with a distribution over possible worlds, where we can split each world into a fixed past and a future function which takes an action.[1] We also need a policy, which is a sensors -> action function,[2] where the state of the sensors is drawn from the world's past.[3]
Assume that there exists either an obvious channel in many worlds that serves as a source of neutral[4] infor... (read more)