WhySpace_duplicate0.9261692129075527
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Note to self, in case I come back to this problem: the Vienna Circle fits the bill.
:)
Honestly, there are a bunch of links I don't click, because the 2 or 3 word titles aren't descriptive enough. I'm a big fan of the community norm on more technically minded subreddits, where you can usually find a summary in one of the top couple comments.
So, I'm doing what I can to encourage this here. But mostly, I thought it was important on the AI front, and wanted to give a summary which more people would actually read and discuss.
Here are some thoughts on the viability of Brain Computer Interfaces. I know nothing, and am just doing my usual reality checks and initial exploration of random ideas, so please let me know if I'm making any dumb assumptions.
They seem to prefer devices in the blood vessels, due to the low invasiveness. The two specific form factors mentioned are stents and neural dust. Whatever was chosen would have to fit in the larger blood vessels, or flow freely through all of them. Just for fun, let's choose the second, much narrower constraint, and play with some numbers.
Wikipedia says white blood cells can be up to 30 μm in diameter. (Also, apparently there... (read 992 more words →)
The article only touches on it briefly, but suggests faster AI takeoff are worse, but "fast" is only relative to the fastest human minds.
Has there been much examination of the benefits of slow takeoff scenarios, or takeoffs that happen after human enhancements become available? I vaguely recall a MIRI fundraiser saying that they would start putting marginal resources toward investigating a possible post-Age of EM takeoff, but I have no idea if they got to that funding goal.
Personally, I don't see Brain-Computer Interfaces as useful for AI takeoffs, at least in the near term. We can type ~100 words per minute, but it takes more than 400 minutes to write a... (read more)
TL;DR of the article:
This piece describes a lot of why Elon Musk wanted to start Neurolink, and how Brain-Computer Interfaces (BCIs) currently work, and how they might be implemented in the future. It's a really, really broad article, and aims for breadth while still having enough depth to be useful. If you already have a grasp of evolution of the brain, Dual Process Theory, parts of the brain, how neurons fire, etc. you can skip those parts, as I have below.
AI is dangerous, because it could achieve superhuman abilities and operate at superhuman speeds. The intelligence gap would be much smaller if we also had access to such abilities. Therefore, we should... (read 653 more words →)
TL;DR: What are some movements you would put in the same reference class as the Rationality movement? Did they also spend significant effort trying not to be wrong?
Context: I've been thinking about SSC's Yes, We have noticed the skulls. They point out that aspiring Rationalists are well aware of the flaws in straw Vulcans, and actively try to avoid making such mistakes. More generally, most movements are well aware of the criticisms of at least the last similar movement, since those are the criticisms they are constantly defending against.
However, searching "previous " in the comments doesn't turn up any actual exemples.
Full question: I'd like to know if anyone has suggestions for how... (read more)
I'm not so sure. Would your underlying intuition be the same if the torture and death was the result of passive inaction, rather than of deliberate action? I think in that case, the torture and death would make only a small difference in how good or bad we judged the world to be.
For example, consider a corporate culture with so much of this dominance hierarchy that it has a high suicide rate.
Also:
... (read more)Moloch whose buildings are judgment! ... Lacklove and manless in Moloch! ... Moloch who frightened me out of my natural ecstasy!
... Real holy laughter in the river! They saw it all! the wild eyes! the holy yells! They bade farewell! They
I'd add that it also starts to formalise the phenomenon where one's best judgement oscillates back and forth with each layer of an argument. It's not clear what to do when something seems a strong net positive, then a strong negative, then a strong positive again after more consideration. If the value of information is high, but it's difficult to make any headway, what should we even do?
This is especially common for complex problems like xrisk. It also makes us extremely prone to bias, since we by default question conclusions we don't like more than ones we do.
This is really sad. I'm sorry to hear things didn't work out, but I'm still left wondering why not.
I guess I was really hoping for a couple thousand+ word post-mortem, describing the history of the project, and which hypotheses you tested, with a thorough explanation of the results.
If you weren't getting enough math input, why do you think that throwing more people at the problem wouldn't generate better content? Just having a bunch of links to the most intuitive and elegant explanations, gathered in one place, would be a huge help to both readers and writers. Students trying to learn are already doing this through blind googling, so the marginal work to... (read more)
I'm not really sure how shortform stuff could be implemented either, but I have a suggestion on how it can be used: jokes!
Seriously. If you look at Scott's writing, for example, one of the things which makes it so gripping is the liberal use of amusing phrasing, and mildly comedic exaggerations. Not the sort of thing that makes you actually laugh, but just the sort of thing that is mildly amusing. And, I believe he specifically recommended it in his blog post on writing advice. He didn't phrase his reasoning quite like this, but I think of it as little bits of positive reinforcement to keep your system 1 happy while your... (read more)