In this post, I proclaim/endorse forum participation (aka commenting) as a productive research strategy that I've managed to stumble upon, and recommend it to others (at least to try). Note that this is different from saying that forum/blog posts are a good way for a research community to communicate. It's about individually doing better as researchers.
There's a particular kind of widespread human behavior that is kind on the surface, but upon closer inspection reveals quite the opposite. This post is about four such patterns.
One of the most useful ideas I got out of Algorithms to Live By is that of computational kindness. I was quite surprised to only find a single mention of the term on lesswrong. So now there's two.
Computational kindness is the antidote to a common situation: imagine a friend from a different country is visiting and will stay with you for a while. You're exchanging some text messages beforehand in order to figure out how to spend your time together. You want to show your friend the city, and you want to be very accommodating and make sure...
Forget where I read it, but this Idea seems similar. When responding to a request, being upfront about your boundaries or constraints feels intense but can be helpful for both parties. If Bob asks Alice to help him move, and Alice responds "sure thing" that leaves the interaction open to miscommunication. But if instead Alice says, " yeah! I am available 1pm to 5pm and my neck has been bothering me so no heavy lifting for me!" Although that's seems like less of a kind response Bob now doesn't have to guess at Alice's constraints and can comfortably move forward without feeling the need to tiptoe around how long and to what degree Alice can help.
About 15 years ago, I read Malcolm Gladwell's Outliers. He profiled Chris Langan, an extremely high-IQ person, claiming that he had only mediocre accomplishments despite his high IQ. Chris Langan's theory of everything, the Cognitive Theoretic Model of the Universe, was mentioned. I considered that it might be worth checking out someday.
Well, someday has happened, and I looked into CTMU, prompted by Alex Zhu (who also paid me for reviewing the work). The main CTMU paper is "The Cognitive-Theoretic Model of the Universe: A New Kind of Reality Theory".
CTMU has a high-IQ mystique about it: if you don't get it, maybe it's because your IQ is too low. The paper itself is dense with insights, especially the first part. It uses quite a lot of nonstandard terminology (partially...
I don't see any. He even says his approach “leaves the current picture of reality virtually intact”. In Popper's terms this would be metaphysics, not science, which is part of why I'm skeptical of the claimed applications to quantum mechanics and so on. Note that, while there's a common interpretation of Popper saying metaphysics is meaningless, he contradicts this.
Quoting Popper:
...Language analysts believe that there are no genuine philosophical problems, or that the problems of philosophy, if any, are problems of linguistic usage, or of the meaning of wo
This is my personal opinion, and in particular, does not represent anything like a MIRI consensus; I've gotten push-back from almost everyone I've spoken with about this, although in most cases I believe I eventually convinced them of the narrow terminological point I'm making.
In the AI x-risk community, I think there is a tendency to ask people to estimate "time to AGI" when what is meant is really something more like "time to doom" (or, better, point-of-no-return). For about a year, I've been answering this question "zero" when asked.
This strikes some people as absurd or at best misleading. I disagree.
The term "Artificial General Intelligence" (AGI) was coined in the early 00s, to contrast with the prevalent paradigm of Narrow AI. I was getting my undergraduate computer science...
I found this an interesting but complex read for me -- both the post and the comments. I found a number of what seemed good points to consider, but I seem to be coming away from the discussion thinking about the old parable of the blind men and the elephant.
Hi, I’d like to share my paper that proposes a novel approach for building white box neural networks.
The paper introduces semantic features as a general technique for controlled dimensionality reduction, somewhat reminiscent of Hinton’s capsules and the idea of “inverse rendering”. In short, semantic features aim to capture the core characteristic of any semantic entity - having many possible states but being at exactly one state at a time. This results in regularization that is strong enough to make the PoC neural network inherently interpretable and also robust to adversarial attacks - despite no form of adversarial training! The paper may be viewed as a manifesto for a novel white-box approach to deep learning.
As an independent researcher I’d be grateful for your feedback!
Thank you! The quote you picked is on point, I added an extended summary based on this, thanks for the suggestion!
On Wednesday, author David Brin announced that Vernor Vinge, sci-fi author, former professor, and father of the technological singularity concept, died from Parkinson's disease at age 79 on March 20, 2024, in La Jolla, California. The announcement came in a Facebook tribute where Brin wrote about Vinge's deep love for science and writing. [...]
As a sci-fi author, Vinge won Hugo Awards for his novels A Fire Upon the Deep (1993), A Deepness in the Sky (2000), and Rainbows End (2007). He also won Hugos for novellas Fast Times at Fairmont High (2002) and The Cookie Monster (2004). As Mike Glyer's File 770 blog notes, Vinge's novella True Names (1981) is frequency cited as the first presentation of an in-depth look at the concept of "cyberspace."
...Vinge first coined
On 16 March 2024, I sat down to chat with New York Times technology reporter Cade Metz! In part of our conversation, transcribed below, we discussed his February 2021 article "Silicon Valley's Safe Space", covering Scott Alexander's Slate Star Codex blog and the surrounding community.
The transcript has been significantly edited for clarity. (It turns out that real-time conversation transcribed completely verbatim is full of filler words, false starts, crosstalk, "uh huh"s, "yeah"s, pauses while one party picks up their coffee order, &c. that do not seem particularly substantive.)
ZMD: I actually have some questions for you.
CM: Great, let's start with that.
ZMD: They're critical questions, but one of the secret-lore-of-rationality things is that a lot of people think criticism is bad, because if someone criticizes you, it hurts your...
You are a rational thinker.
Ever since you were born, you’ve been racing through a universe of ideas: creating, evaluating, disputing, engaging with, and being bombarded by…
Ideas.
Like a particle from the Big Bang, you have bounced around the universe until you found yourself here.
Reading, pondering, considering.
Thinking is the foundation by which we establish our reality.
Over time you should master this skill, and yet people seem to get stuck on ideas. People stumble into ideologies and then keep falling deeper into them. These can be ideologies of philosophy, identity, interests, career, or beyond.
Just as a particle whizzing around in the universe can fall into a black hole, people too can get stuck on an idea, cross an event horizon, and never come back.
You see this phenomenon often, and it...
I like it too, and because your comment made me think about it, I now kind of wish it said "orders of magnitude too young"