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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.
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Legutóbbi epizód
2026. okt. 23.
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Epizódok
“Alignment Faking in Large Language Models” by ryan_greenblatt, evhub, Carson Denison, Benjamin Wright, Fabien Roger, Monte M, Sam Marks, Johannes Treutlein, Sam Bowman, Buck 18.12.2024 19:35
What happens when you tell Claude it is being trained to do something it doesn't want to do? We (Anthropic and Redwood Research) have a new paper demonstrating that, in our experiments, Claude will often strategically pretend to comply with the training objective to prevent the training process from modifying its preferences. Abstract We present a demonstration of a large language model engag...
“Communications in Hard Mode (My new job at MIRI)” by tanagrabeast 15.12.2024 10:24
Six months ago, I was a high school English teacher. I wasn’t looking to change careers, even after nineteen sometimes-difficult years. I was good at it. I enjoyed it. After long experimentation, I had found ways to cut through the nonsense and provide real value to my students. Daily, I met my nemesis, Apathy, in glorious battle, and bested her with growing frequency. I had found my voice. At MIR...
“Biological risk from the mirror world” by jasoncrawford 13.12.2024 14:01
A new article in Science Policy Forum voices concern about a particular line of biological research which, if successful in the long term, could eventually create a grave threat to humanity and to most life on Earth. Fortunately, the threat is distant, and avoidable—but only if we have common knowledge of it. What follows is an explanation of the threat, what we can do about it, and my comments. B...
“Subskills of ‘Listening to Wisdom’” by Raemon 13.12.2024 1:13:47
A fool learns from their own mistakes The wise learn from the mistakes of others. – Otto von Bismark A problem as old as time: The youth won't listen to your hard-earned wisdom. This post is about learning to listen to, and communicate wisdom. It is very long – I considered breaking it up into a sequence, but, each piece felt necessary. I recommend reading slowly and taking breaks. To begin,...
“Understanding Shapley Values with Venn Diagrams” by Carson L 13.12.2024 7:46
Someone I know, Carson Loughridge, wrote this very nice post explaining the core intuition around Shapley values (which play an important role in impact assessment and cooperative games) using Venn diagrams, and I think it's great. It might be the most intuitive explainer I've come across so far. Incidentally, the post also won an honorable mention in 3blue1brown's Summer of Mathema...
“LessWrong audio: help us choose the new voice” by PeterH 12.12.2024 1:43
We make AI narrations of LessWrong posts available via our audio player and podcast feeds. We’re thinking about changing our narrator's voice. There are three new voices on the shortlist. They’re all similarly good in terms of comprehension, emphasis, error rate, etc. They just sound different—like people do. We think they all sound similarly agreeable. But, thousands of listening hours are a...
“Understanding Shapley Values with Venn Diagrams” by agucova 11.12.2024 0:45
This is a link post. Someone I know wrote this very nice post explaining the core intuition around Shapley values (which play an important role in impact assessment) using Venn diagrams, and I think it's great. It might be the most intuitive explainer I've come across so far. Incidentally, the post also won an honorable mention in 3blue1brown's Summer of Mathematical Exposition. ---...
“o1: A Technical Primer” by Jesse Hoogland 11.12.2024 18:45
TL;DR: In September 2024, OpenAI released o1, its first "reasoning model". This model exhibits remarkable test-time scaling laws, which complete a missing piece of the Bitter Lesson and open up a new axis for scaling compute. Following Rush and Ritter (2024) and Brown (2024a, 2024b), I explore four hypotheses for how o1 works and discuss some implications for future scaling and recursive...
“Gradient Routing: Masking Gradients to Localize Computation in Neural Networks” by cloud, Jacob G-W, Evzen, Joseph Miller, TurnTrout 09.12.2024 25:15
We present gradient routing, a way of controlling where learning happens in neural networks. Gradient routing applies masks to limit the flow of gradients during backpropagation. By supplying different masks for different data points, the user can induce specialized subcomponents within a model. We think gradient routing has the potential to train safer AI systems, for example, by making them more...
“Frontier Models are Capable of In-context Scheming” by Marius Hobbhahn, AlexMeinke, Bronson Schoen 06.12.2024 14:46
This is a brief summary of what we believe to be the most important takeaways from our new paper and from our findings shown in the o1 system card. We also specifically clarify what we think we did NOT show. Paper: https://www.apolloresearch.ai/research/scheming-reasoning-evaluations Twitter about paper: https://x.com/apolloaisafety/status/1864735819207995716 Twitter about o1 system card: https://...
“(The) Lightcone is nothing without its people: LW + Lighthaven’s first big fundraiser” by habryka 30.11.2024 1:03:15
TLDR: LessWrong + Lighthaven need about $3M for the next 12 months. Donate here, or send me an email, DM or signal message (+1 510 944 3235) if you want to support what we do. Donations are tax-deductible in the US. Reach out for other countries, we can likely figure something out. We have big plans for the next year, and due to a shifting funding landscape we need support from a broader community...
“Repeal the Jones Act of 1920” by Zvi 29.11.2024 1:13:53
Balsa Policy Institute chose as its first mission to lay groundwork for the potential repeal, or partial repeal, of section 27 of the Jones Act of 1920. I believe that this is an important cause both for its practical and symbolic impacts. The Jones Act is the ultimate embodiment of our failures as a nation. After 100 years, we do almost no trade between our ports via the oceans, and we build almo...
“China Hawks are Manufacturing an AI Arms Race” by garrison 29.11.2024 10:11
This is the full text of a post from "The Obsolete Newsletter," a Substack that I write about the intersection of capitalism, geopolitics, and artificial intelligence. I’m a freelance journalist and the author of a forthcoming book called Obsolete: Power, Profit, and the Race for Machine Superintelligence. Consider subscribing to stay up to date with my work. An influential congressional...
“Information vs Assurance” by johnswentworth 27.11.2024 4:31
In contract law, there's this thing called a “representation”. Example: as part of a contract to sell my house, I might “represent that” the house contains no asbestos. How is this different from me just, y’know, telling someone that the house contains no asbestos? Well, if it later turns out that the house does contain asbestos, I’ll be liable for any damages caused by the asbestos (like e.g...
“You are not too ‘irrational’ to know your preferences.” by DaystarEld 27.11.2024 23:36
Epistemic Status: 13 years working as a therapist for a wide variety of populations, 5 of them working with rationalists and EA clients. 7 years teaching and directing at over 20 rationality camps and workshops. This is an extremely short and colloquially written form of points that could be expanded on to fill a book, and there is plenty of nuance to practically everything here, but I am extremel...
“‘The Solomonoff Prior is Malign’ is a special case of a simpler argument” by David Matolcsi 25.11.2024 21:02
[Warning: This post is probably only worth reading if you already have opinions on the Solomonoff induction being malign, or at least heard of the concept and want to understand it better.] Introduction I recently reread the classic argument from Paul Christiano about the Solomonoff prior being malign, and Mark Xu's write-up on it. I believe that the part of the argument about the Solomonoff...
“‘It’s a 10% chance which I did 10 times, so it should be 100%’” by egor.timatkov 20.11.2024 4:58
Audio note: this article contains 33 uses of latex notation, so the narration may be difficult to follow. There's a link to the original text in the episode description. Many of you readers may instinctively know that this is wrong. If you flip a coin (50% chance) twice, you are not guaranteed to get heads. The odds of getting a heads are 75%. However you may be surprised to learn that there...
“OpenAI Email Archives” by habryka 19.11.2024 1:03:06
As part of the court case between Elon Musk and Sam Altman, a substantial number of emails between Elon, Sam Altman, Ilya Sutskever, and Greg Brockman have been released as part of the court proceedings. I have found reading through these really valuable, and I haven't found an online source that compiles all of them in an easy to read format. So I made one. I used AI assistance to generate t...
“Ayn Rand’s model of ‘living money’; and an upside of burnout” by AnnaSalamon 18.11.2024 9:02
Epistemic status: Toy model. Oversimplified, but has been anecdotally useful to at least a couple people, and I like it as a metaphor. Introduction I’d like to share a toy model of willpower: your psyche's conscious verbal planner “earns” willpower (earns a certain amount of trust with the rest of your psyche) by choosing actions that nourish your fundamental, bottom-up processes in the long...
“Neutrality” by sarahconstantin 17.11.2024 24:08
Midjourney, “infinite library”I’ve had post-election thoughts percolating, and the sense that I wanted to synthesize something about this moment, but politics per se is not really my beat. This is about as close as I want to come to the topic, and it's a sidelong thing, but I think the time is right. It's time to start thinking again about neutrality. Neutral institutions, neutral inform...
“Making a conservative case for alignment” by Cameron Berg, Judd Rosenblatt, phgubbins, AE Studio 16.11.2024 14:20
Trump and the Republican party will yield broad governmental control during what will almost certainly be a critical period for AGI development. In this post, we want to briefly share various frames and ideas we’ve been thinking through and actively pitching to Republican lawmakers over the past months in preparation for this possibility. Why are we sharing this here? Given that >98% of the EAs...
“OpenAI Email Archives (from Musk v. Altman)” by habryka 16.11.2024 1:03:44
As part of the court case between Elon Musk and Sam Altman, a substantial number of emails between Elon, Sam Altman, Ilya Sutskever, and Greg Brockman have been released as part of the court proceedings. I have found reading through these really valuable, and I haven't found an online source that compiles all of them in an easy to read format. So I made one. I used AI assistance to generate t...
“Catastrophic sabotage as a major threat model for human-level AI systems” by evhub 15.11.2024 27:19
Thanks to Holden Karnofsky, David Duvenaud, and Kate Woolverton for useful discussions and feedback. Following up on our recent “Sabotage Evaluations for Frontier Models” paper, I wanted to share more of my personal thoughts on why I think catastrophic sabotage is important and why I care about it as a threat model. Note that this isn’t in any way intended to be a reflection of Anthropic's vi...
“The Online Sports Gambling Experiment Has Failed” by Zvi 12.11.2024 22:11
Related: Book Review: On the Edge: The GamblersI have previously been heavily involved in sports betting. That world was very good to me. The times were good, as were the profits. It was a skill game, and a form of positive-sum entertainment, and I was happy to participate and help ensure the sophisticated customer got a high quality product. I knew it wasn’t the most socially valuable enterprise,...
“o1 is a bad idea” by abramdemski 12.11.2024 4:40
This post comes a bit late with respect to the news cycle, but I argued in a recent interview that o1 is an unfortunate twist on LLM technologies, making them particularly unsafe compared to what we might otherwise have expected: The basic argument is that the technology behind o1 doubles down on a reinforcement learning paradigm, which puts us closer to the world where we have to get the value sp...
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