LessWrong
LessWrong (Curated & Popular)
Audio narrations of LessWrong posts. Includes all curated posts and all posts with 125+ karma. If you'd like more, subscribe to the “Lesswrong (30+ karma)” feed.
Koniecznie odwiedź stronę podcastu i wesprzyj twórcę: sites.libsyn.com
Gdzie słuchać?
Podcasty w aplikacji Replaio Radio Już wkrótcePodcasty trafią do aplikacji już wkrótce. Zainstaluj teraz i jako pierwszy zobacz nowe podejście do podcastów
Odcinki
“This is already your second chance” by Malmesbury 07.08.2024 16:01
Cross-posted from Substack. 1. And the sky opened, and from the celestial firmament descended a cube of ivory the size of a skyscraper, lifted by ten thousand cherubim and seraphim. And the cube slowly landed among the children of men, crushing the frail metal beams of the Golden Gate Bridge under its supernatural weight. On its surface were inscribed the secret instructions that would allow human...
“0. CAST: Corrigibility as Singular Target” by Max Harms 07.08.2024 19:40
Crossposted from the AI Alignment Forum. May contain more technical jargon than usual. What the heck is up with “corrigibility”? For most of my career, I had a sense that it was a grab-bag of properties that seemed nice in theory but hard to get in practice, perhaps due to being incompatible with agency. Then, last year, I spent some time revisiting my perspective, and I concluded that I had been...
“Self-Other Overlap: A Neglected Approach to AI Alignment” by Marc Carauleanu, Mike Vaiana, Judd Rosenblatt, Diogo de Lucena 07.08.2024 23:21
Figure 1. Image generated by DALL-3 to represent the concept of self-other overlapMany thanks to Bogdan Ionut-Cirstea, Steve Byrnes, Gunnar Zarnacke, Jack Foxabbott and Seong Hah Cho for critical comments and feedback on earlier and ongoing versions of this work. Summary In this post, we introduce self-other overlap training: optimizing for similar internal representations when the model reasons a...
“You don’t know how bad most things are nor precisely how they’re bad.” by Solenoid_Entity 07.08.2024 8:43
TL;DR: Your discernment in a subject often improves as you dedicate time and attention to that subject. The space of possible subjects is huge, so on average your discernment is terrible, relative to what it could be. This is a serious problem if you create a machine that does everyone's job for them. See also: Reality has a surprising amount of detail. (You lack awareness of how bad your sta...
“Recommendation: reports on the search for missing hiker Bill Ewasko” by eukaryote 07.08.2024 22:23
This is a link post. Content warning: About an IRL death. Today's post isn’t so much an essay as a recommendation for two bodies of work on the same topic: Tom Mahood's blog posts and Adam “KarmaFrog1” Marsland's videos on the 2010 disappearance of Bill Ewasko, who went for a day hike in Joshua Tree National Park and dropped out of contact. 2010 – Bill Ewasko goes missing Tom Mahood...
“The ‘strong’ feature hypothesis could be wrong” by lsgos 07.08.2024 30:16
NB. I am on the Google Deepmind language model interpretability team. But the arguments/views in this post are my own, and shouldn't be read as a team position. “It would be very convenient if the individual neurons of artificial neural networks corresponded to cleanly interpretable features of the input. For example, in an “ideal” ImageNet classifier, each neuron would fire only in the prese...
“‘AI achieves silver-medal standard solving International Mathematical Olympiad problems’” by gjm 30.07.2024 4:00
This is a link post. Google DeepMind reports on a system for solving mathematical problems that allegedly is able to give complete solutions to four of the six problems on the 2024 IMO, putting it near the top of the silver-medal category. Well, actually, two systems for solving mathematical problems: AlphaProof, which is more general-purpose, and AlphaGeometry, which is specifically for geometry...
“Decomposing Agency — capabilities without desires” by owencb, Raymond D 29.07.2024 24:12
This is a link post. What is an agent? It's a slippery concept with no commonly accepted formal definition, but informally the concept seems to be useful. One angle on it is Dennett's Intentional Stance: we think of an entity as being an agent if we can more easily predict it by treating it as having some beliefs and desires which guide its actions. Examples include cats and countries, b...
“Universal Basic Income and Poverty” by Eliezer Yudkowsky 27.07.2024 15:54
(Crossposted from Twitter) I'm skeptical that Universal Basic Income can get rid of grinding poverty, since somehow humanity's 100-fold productivity increase (since the days of agriculture) didn't eliminate poverty. Some of my friends reply, "What do you mean, poverty is still around? 'Poor' people today, in Western countries, have a lot to legitimately be miserable a...
“Optimistic Assumptions, Longterm Planning, and ‘Cope’” by Raemon 19.07.2024 12:49
Eliezer Yudkowsky periodically complains about people coming up with questionable plans with questionable assumptions to deal with AI, and then either: Saying "well, if this assumption doesn't hold, we're doomed, so we might as well assume it's true." Worse: coming up with cope-y reasons to assume that the assumption isn't even questionable at all. It's just a pr...
“Superbabies: Putting The Pieces Together” by sarahconstantin 15.07.2024 19:09
This post was inspired by some talks at the recent LessOnline conference including one by LessWrong user “Gene Smith”. Let's say you want to have a “designer baby”. Genetically extraordinary in some way — super athletic, super beautiful, whatever. 6’5”, blue eyes, with a trust fund. Ethics aside[1], what would be necessary to actually do this? Fundamentally, any kind of “superbaby” or “design...
“Poker is a bad game for teaching epistemics. Figgie is a better one.” by rossry 12.07.2024 18:03
This is a link post. Editor's note: Somewhat after I posted this on my own blog, Max Chiswick cornered me at LessOnline / Manifest and gave me a whole new perspective on this topic. I now believe that there is a way to use poker to sharpen epistemics that works dramatically better than anything I had been considering. I hope to write it up—together with Max—when I have time. Anyway, I'm...
“Reliable Sources: The Story of David Gerard” by TracingWoodgrains 11.07.2024 1:22:25
This is a linkpost for https://www.tracingwoodgrains.com/p/reliable-sources-how-wikipedia-admin, posted in full here given its relevance to this community. Gerard has been one of the longest-standing malicious critics of the rationalist and EA communities and has done remarkable amounts of work to shape their public images behind the scenes. Note: I am closer to this story than to many of my other...
“When is a mind me?” by Rob Bensinger 08.07.2024 27:00
xlr8harder writes: In general I don’t think an uploaded mind is you, but rather a copy. But one thought experiment makes me question this. A Ship of Theseus concept where individual neurons are replaced one at a time with a nanotechnological functional equivalent. Are you still you? Presumably the question xlr8harder cares about here isn't semantic question of how linguistic communities use t...
“80,000 hours should remove OpenAI from the Job Board (and similar orgs should do similarly)” by Raemon 04.07.2024 12:42
I haven't shared this post with other relevant parties – my experience has been that private discussion of this sort of thing is more paralyzing than helpful. I might change my mind in the resulting discussion, but, I prefer that discussion to be public. I think 80,000 hours should remove OpenAI from its job board, and similar EA job placement services should do the same. (I personally believ...
[Linkpost] “introduction to cancer vaccines” by bhauth 02.07.2024 12:01
This is a linkpost for https://www.bhauth.com/blog/biology/cancer%20vaccines.html cancer neoantigens For cells to become cancerous, they must have mutations that cause uncontrolled replication and mutations that prevent that uncontrolled replication from causing apoptosis. Because cancer requires several mutations, it often begins with damage to mutation-preventing mechanisms. As such, cancers oft...
“Priors and Prejudice” by MathiasKB 02.07.2024 13:24
I Imagine an alternate version of the Effective Altruism movement, whose early influences came from socialist intellectual communities such as the Fabian Society, as opposed to the rationalist diaspora. Let's name this hypothetical movement the Effective Samaritans. Like the EA movement of today, they believe in doing as much good as possible, whatever this means. They began by evaluating exi...
“My experience using financial commitments to overcome akrasia” by William Howard 02.07.2024 29:40
About a year ago I decided to try using one of those apps where you tie your goals to some kind of financial penalty. The specific one I tried is Forfeit, which I liked the look of because it's relatively simple, you set single tasks which you have to verify you have completed with a photo. I’m generally pretty sceptical of productivity systems, tools for thought, mindset shifts, life hacks a...
“The Incredible Fentanyl-Detecting Machine” by sarahconstantin 01.07.2024 14:21
An NII machine in Nogales, AZ. (Image source)There's bound to be a lot of discussion of the Biden-Trump presidential debates last night, but I want to skip all the political prognostication and talk about the real issue: fentanyl-detecting machines. Joe Biden says: And I wanted to make sure we use the machinery that can detect fentanyl, these big machines that roll over everything that comes...
“AI catastrophes and rogue deployments” by Buck 01.07.2024 14:46
Crossposted from the AI Alignment Forum. May contain more technical jargon than usual.[Thanks to Aryan Bhatt, Ansh Radhakrishnan, Adam Kaufman, Vivek Hebbar, Hanna Gabor, Justis Mills, Aaron Scher, Max Nadeau, Ryan Greenblatt, Peter Barnett, Fabien Roger, and various people at a presentation of these arguments for comments. These ideas aren’t very original to me; many of the examples of threat mod...
“Loving a world you don’t trust” by Joe Carlsmith 01.07.2024 1:03:54
(Cross-posted from my website. Audio version here, or search for "Joe Carlsmith Audio" on your podcast app.) This is the final essay in a series that I'm calling "Otherness andcontrol in the age of AGI." I'm hoping that the individual essays can beread fairly well on their own, butsee here fora brief summary of the series as a whole. There's also a PDF of the who...
“Formal verification, heuristic explanations and surprise accounting” by paulfchristiano 27.06.2024 17:07
ARC's current research focus can be thought of as trying to combine mechanistic interpretability and formal verification. If we had a deep understanding of what was going on inside a neural network, we would hope to be able to use that understanding to verify that the network was not going to behave dangerously in unforeseen situations. ARC is attempting to perform this kind of verification,...
“LLM Generality is a Timeline Crux” by eggsyntax 25.06.2024 13:08
Summary Summary . LLMs may be fundamentally incapable of fully general reasoning, and if so, short timelines are less plausible. Longer summary There is ML research suggesting that LLMs fail badly on attempts at general reasoning, such as planning problems, scheduling, and attempts to solve novel visual puzzles. This post provides a brief introduction to that research, and asks: Whether this limit...
“SAE feature geometry is outside the superposition hypothesis” by jake_mendel 25.06.2024 18:29
Summary: Superposition-based interpretations of neural network activation spaces are incomplete. The specific locations of feature vectors contain crucial structural information beyond superposition, as seen in circular arrangements of day-of-the-week features and in the rich structures. We don’t currently have good concepts for talking about this structure in feature geometry, but it is likely ve...
“Connecting the Dots: LLMs can Infer & Verbalize Latent Structure from Training Data” by Johannes Treutlein, Owain_Evans 23.06.2024 17:56
Crossposted from the AI Alignment Forum. May contain more technical jargon than usual. This is a link post. TL;DR: We published a new paper on out-of-context reasoning in LLMs. We show that LLMs can infer latent information from training data and use this information for downstream tasks, without any in-context learning or CoT. For instance, we finetune GPT-3.5 on pairs (x,f(x)) for some unknown f...
Podobne podcasty
Replaio nie jest wydawcą podcastów; nazwy audycji, okładki i audio należą do ich autorów i są rozpowszechniane przez publiczne kanały RSS