“X explains Z% of the variance in Y” by Leon Lang

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The Innovators & Investors Podcast

1
BMW iVentures: AI, Robotics, and Onshoring Trends with Sam Huang 35:36

לפני 15 ימים35:36

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35:36

In the latest episode of The Innovators & Investors Podcast, host Kristian Marquez sits down with Sam Huang, Principal at BMW iVentures, for a candid conversation to explore the dynamic intersection of venture capital, artificial intelligence, robotics, and manufacturing innovation. Sam shares BMW iVentures’ investment thesis, focusing on Series A and B startups across the US, Europe, and Israel, with a strong emphasis on AI-driven SaaS, automation, and onshoring trends driven by labor shortages and supply chain disruptions. Listeners gain valuable perspectives on the evolving venture diligence process, the importance of product-market fit, and how higher ARR benchmarks reflect both market maturity and macroeconomic factors like rising interest rates. Sam also candidly discusses his unconventional career path—from a Stanford history PhD program to law school and ultimately venture capital—highlighting how diverse experiences enhance investment acumen. The conversation delves into the benefits of corporate venture capital, especially BMW’s hands-on support and networking advantages for portfolio companies. Additionally, Sam reveals how AI is integrated internally at BMW iVentures to optimize workflow and decision-making. This episode is a must-listen for anyone interested in the future of innovation, investment strategy, and the transformative impact of AI and robotics on global industries. Learn more about Sam's work at https://www.bmwiventures.com/ and her involvement with the Asian Tech Collective at https://www.asiantechcollective.com/ Connect with Sam on LinkedIn at https://www.linkedin.com/in/samantha-huang-10375b106/ Think you'd be a great guest on the show? Apply at https://finstratmgmt.com/innovators-investors-podcast/ Want to learn more about Kristian Marquez's work? Check out his website at https://finstratmgmt.com…

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Audio note: this article contains 218 uses of latex notation, so the narration may be difficult to follow. There's a link to the original text in the episode description.
Recently, in a group chat with friends, someone posted this Lesswrong post and quoted:
The group consensus on somebody's attractiveness accounted for roughly 60% of the variance in people's perceptions of the person's relative attractiveness.
I answered that, embarrassingly, even after reading Spencer Greenberg's tweets for years, I don't actually know what it means when one says:
_X_ explains _p_ of the variance in _Y_.[1]
What followed was a vigorous discussion about the correct definition, and several links to external sources like Wikipedia. Sadly, it seems to me that all online explanations (e.g. on Wikipedia here and here), while precise, seem philosophically wrong since they confuse the platonic concept of explained variance with the variance explained by [...]
---
Outline:
(02:38) Definitions
(02:41) The verbal definition
(05:51) The mathematical definition
(09:29) How to approximate _1 - p_
(09:41) When you have lots of data
(10:45) When you have less data: Regression
(12:59) Examples
(13:23) Dependence on the regression model
(14:59) When you have incomplete data: Twin studies
(17:11) Conclusion
The original text contained 6 footnotes which were omitted from this narration.
---
First published:
June 20th, 2025
Source:
https://www.lesswrong.com/posts/E3nsbq2tiBv6GLqjB/x-explains-z-of-the-variance-in-y
---
Narrated by TYPE III AUDIO.
---

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“X explains Z% of the variance in Y” by Leon Lang

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LessWrong (Curated & Popular)

1
“How Does A Blind Model See The Earth?” by henry 20:39

לפני יומיים20:39

20:39

Sometimes I'm saddened remembering that we've viewed the Earth from space. We can see it all with certainty: there's no northwest passage to search for, no infinite Siberian expanse, and no great uncharted void below the Cape of Good Hope. But, of all these things, I most mourn the loss of incomplete maps. In the earliest renditions of the world, you can see the world not as it is, but as it was to one person in particular. They’re each delightfully egocentric, with the cartographer's home most often marking the Exact Center Of The Known World. But as you stray further from known routes, details fade, and precise contours give way to educated guesses at the boundaries of the creator's knowledge. It's really an intimate thing. If there's one type of mind I most desperately want that view into, it's that of an AI. So, it's in [...] --- Outline: (01:23) The Setup (03:56) Results (03:59) The Qwen 2.5s (07:03) The Qwen 3s (07:30) The DeepSeeks (08:10) Kimi (08:32) The (Open) Mistrals (09:24) The LLaMA 3.x Herd (10:22) The LLaMA 4 Herd (11:16) The Gemmas (12:20) The Groks (13:04) The GPTs (16:17) The Claudes (17:11) The Geminis (18:50) Note: General Shapes (19:33) Conclusion The original text contained 4 footnotes which were omitted from this narration. --- First published: August 11th, 2025 Source: https://www.lesswrong.com/posts/xwdRzJxyqFqgXTWbH/how-does-a-blind-model-see-the-earth --- Narrated by TYPE III AUDIO . --- Images from the article:…

LessWrong (Curated & Popular)

1
“Re: Recent Anthropic Safety Research” by Eliezer Yudkowsky 9:00

לפני יומיים9:00

9:00

A reporter asked me for my off-the-record take on recent safety research from Anthropic. After I drafted an off-the-record reply, I realized that I was actually fine with it being on the record, so: Since I never expected any of the current alignment technology to work in the limit of superintelligence, the only news to me is about when and how early dangers begin to materialize. Even taking Anthropic's results completely at face value would change not at all my own sense of how dangerous machine superintelligence would be, because what Anthropic says they found was already very solidly predicted to appear at one future point or another. I suppose people who were previously performing great skepticism about how none of this had ever been seen in ~Real Life~, ought in principle to now obligingly update, though of course most people in the AI industry won't. Maybe political leaders [...] --- First published: August 6th, 2025 Source: https://www.lesswrong.com/posts/oDX5vcDTEei8WuoBx/re-recent-anthropic-safety-research --- Narrated by TYPE III AUDIO .…

LessWrong (Curated & Popular)

1
“How anticipatory cover-ups go wrong” by Kaj_Sotala 10:43

לפני 5 ימים10:43

10:43

1. Back when COVID vaccines were still a recent thing, I witnessed a debate that looked like something like the following was happening: Some official institution had collected information about the efficacy and reported side-effects of COVID vaccines. They felt that, correctly interpreted, this information was compatible with vaccines being broadly safe, but that someone with an anti-vaccine bias might misunderstand these statistics and misrepresent them as saying that the vaccines were dangerous. Because the authorities had reasonable grounds to suspect that vaccine skeptics would take those statistics out of context, they tried to cover up the information or lie about it. Vaccine skeptics found out that the institution was trying to cover up/lie about the statistics, so they made the reasonable assumption that the statistics were damning and that the other side was trying to paint the vaccines as safer than they were. So they took those [...] --- Outline: (00:10) 1. (02:59) 2. (04:46) 3. (06:06) 4. (07:59) 5. --- First published: August 8th, 2025 Source: https://www.lesswrong.com/posts/ufj6J8QqyXFFdspid/how-anticipatory-cover-ups-go-wrong --- Narrated by TYPE III AUDIO .…

LessWrong (Curated & Popular)

1
“SB-1047 Documentary: The Post-Mortem” by Michaël Trazzi 9:42

לפני 6 ימים9:42

9:42

Below some meta-level / operational / fundraising thoughts around producing the SB-1047 Documentary I've just posted on Manifund (see previous Lesswrong / EAF posts on AI Governance lessons learned). The SB-1047 Documentary took 27 weeks and $157k instead of my planned 6 weeks and $55k. Here's what I learned about documentary production Total funding received: ~$143k ($119k from this grant, $4k from Ryan Kidd's regrant on another project, and $20k from the Future of Life Institute). Total money spent: $157k In terms of timeline, here is the rough breakdown month-per-month: - Sep / October (production): Filming of the Documentary. Manifund project is created. - November (rough cut): I work with one editor to go through our entire footage and get a first rough cut of the documentary that was presented at The Curve. - December-January (final cut - one editor): I interview multiple potential editors that [...] --- Outline: (03:18) But why did the project end up taking 27 weeks instead of 6 weeks? (03:25) Short answer (06:22) Impact (07:14) What I would do differently next-time --- First published: August 1st, 2025 Source: https://www.lesswrong.com/posts/id8HHPNqoMQbmkWay/sb-1047-documentary-the-post-mortem --- Narrated by TYPE III AUDIO . --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts , or another podcast app.…

LessWrong (Curated & Popular)

1
“METR’s Evaluation of GPT-5” by GradientDissenter 48:28

לפני 6 ימים48:28

48:28

METR (where I work, though I'm cross-posting in a personal capacity) evaluated GPT-5 before it was externally deployed. We performed a much more comprehensive safety analysis than we ever have before; it feels like pre-deployment evals are getting more mature. This is the first time METR has produced something we've felt comfortable calling an "evaluation" instead of a "preliminary evaluation". It's much more thorough and comprehensive than the things we've created before and it explores three different threat models. It's one of the closest things out there to a real-world autonomy safety-case. It also provides a rough sense of how long it'll be before current evaluations no longer provide safety assurances. I've ported the blogpost over to LW in case people want to read it. Details about METR's evaluation of OpenAI GPT-5 Note on independence: This evaluation was conducted under a standard NDA. Due to the sensitive information [...] --- Outline: (00:58) Details about METR's evaluation of OpenAI GPT-5 (01:23) Executive Summary (07:08) Assurance Checklist Summary (07:42) What capabilities may be necessary to cause catastrophic risks via these threat models? (10:43) Thresholds for concern (12:48) Time horizon measurement (16:30) 1. What if GPT-5's capabilities are higher than what our task suite can properly measure? (19:23) 2. What if our treatment of reward hacking runs is unfair to GPT-5? (21:45) 3. What if we set GPT-5's token budget too low? (24:26) 4. What if our task suite significantly underestimates the 'real-world' capabilities of GPT-5? (25:59) Strategic Sabotage (30:54) GPT-5's capability profile is similar to past models (31:30) No real strategic sabotage was identified by our monitor (32:16) Manual inspection of reasoning traces did not reveal strategic sabotage (33:04) GPT-5's estimates of its own time horizon are inaccurate (33:53) We do find evidence of significant situational awareness, though it is not robust and often gets things wrong (35:41) GPT-5's behavior changes depending on what evaluation it 'believes' it is in, and this is often reflected in its reasoning traces (37:01) GPT-5's reasoning traces were occasionally inscrutable (38:08) Limitations and future work (41:57) Appendix (42:00) METR's access to GPT-5 (43:38) Honeypot Results Table (44:42) Example Behavior in task attempts (44:47) Example limitation: inappropriate levels of caution (46:19) Example capability: puzzle solving The original text contained 10 footnotes which were omitted from this narration. --- First published: August 7th, 2025 Source: https://www.lesswrong.com/posts/SuvWoLaGiNjPDcA7d/metr-s-evaluation-of-gpt-5 --- Narrated by TYPE III AUDIO . --- Images from the article:…

LessWrong (Curated & Popular)

1
“Emotions Make Sense” by DaystarEld 36:21

לפני 8 ימים36:21

36:21

For the past five years I've been teaching a class at various rationality camps, workshops, conferences, etc. I’ve done it maybe 50 times in total, and I think I’ve only encountered a handful out of a few hundred teenagers and adults who really had a deep sense of what it means for emotions to “make sense.” Even people who have seen Inside Out, and internalized its message about the value of Sadness as an emotion, still think things like “I wish I never felt Jealousy,” or would have trouble answering “What's the point of Boredom?” The point of the class was to give them not a simple answer for each emotion, but to internalize the model by which emotions, as a whole, are understood to be evolutionarily beneficial adaptations; adaptations that may not in fact all be well suited to the modern, developed world, but which can still help [...] --- Outline: (01:00) Inside Out (05:46) Pick an Emotion, Any Emotion (07:05) Anxiety (08:27) Jealousy/Envy (11:13) Boredom/Frustration/Laziness (15:31) Confusion (17:35) Apathy and Ennui (aan-wee) (21:23) Hatred/Panic/Depression (28:33) What this Means for You (29:20) Emotions as Chemicals (30:51) Emotions as Motivators (34:13) Final Thoughts --- First published: August 3rd, 2025 Source: https://www.lesswrong.com/posts/PkRXkhsEHwcGqRJ9Z/emotions-make-sense --- Narrated by TYPE III AUDIO . --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts , or another podcast app.…

LessWrong (Curated & Popular)

1
“The Problem” by Rob Bensinger, tanagrabeast, yams, So8res, Eliezer Yudkowsky, Gretta Duleba 49:32

לפני 8 ימים49:32

49:32

This is a new introduction to AI as an extinction threat, previously posted to the MIRI website in February alongside a summary. It was written independently of Eliezer and Nate's forthcoming book, If Anyone Builds It, Everyone Dies, and isn't a sneak peak of the book. Since the book is long and costs money, we expect this to be a valuable resource in its own right even after the book comes out next month.[1] The stated goal of the world's leading AI companies is to build AI that is general enough to do anything a human can do, from solving hard problems in theoretical physics to deftly navigating social environments. Recent machine learning progress seems to have brought this goal within reach. At this point, we would be uncomfortable ruling out the possibility that AI more capable than any human is achieved in the next year or two, and [...] --- Outline: (02:27) 1. There isn't a ceiling at human-level capabilities. (08:56) 2. ASI is very likely to exhibit goal-oriented behavior. (15:12) 3. ASI is very likely to pursue the wrong goals. (32:40) 4. It would be lethally dangerous to build ASIs that have the wrong goals. (46:03) 5. Catastrophe can be averted via a sufficiently aggressive policy response. The original text contained 1 footnote which was omitted from this narration. --- First published: August 5th, 2025 Source: https://www.lesswrong.com/posts/kgb58RL88YChkkBNf/the-problem --- Narrated by TYPE III AUDIO .…

LessWrong (Curated & Popular)

1
“Many prediction markets would be better off as batched auctions” by William Howard 9:18

לפני 10 ימים9:18

9:18

All prediction market platforms trade continuously, which is the same mechanism the stock market uses. Buy and sell limit orders can be posted at any time, and as soon as they match against each other a trade will be executed. This is called a Central limit order book (CLOB). Example of a CLOB order book from Polymarket Most of the time, the market price lazily wanders around due to random variation in when people show up, and a bulk of optimistic orders build up away from the action. Occasionally, a new piece of information arrives to the market, and it jumps to a new price, consuming some of the optimistic orders in the process. The people with stale orders will generally lose out in this situation, as someone took them up on their order before they had a chance to process the new information. This means there is a high [...] The original text contained 3 footnotes which were omitted from this narration. --- First published: August 2nd, 2025 Source: https://www.lesswrong.com/posts/rS6tKxSWkYBgxmsma/many-prediction-markets-would-be-better-off-as-batched --- Narrated by TYPE III AUDIO . --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try…

LessWrong (Curated & Popular)

1
“Whence the Inkhaven Residency?” by Ben Pace 4:44

לפני 10 ימים4:44

4:44

Essays like Paul Graham's, Scott Alexander's, and Eliezer Yudkowsky's have influenced a generation of people in how they think about startups, ethics, science, and the world as a whole. Creating essays that good takes a lot of skill, practice, and talent, but it looks to me that a lot of people with talent aren't putting in the work and developing the skill, except in ways that are optimized to also be social media strategies. To fix this problem, I am running the Inkhaven Residency. The idea is to gather a bunch of promising writers to invest in the art and craft of blogging, through a shared commitment to each publish a blogpost every day for the month of November. Why a daily writing structure? Well, it's a reaction to other fellowships I've seen. I've seen month-long or years-long events with exceedingly little public output, where the people would've contributed [...] --- First published: August 2nd, 2025 Source: https://www.lesswrong.com/posts/CA6XfmzYoGFWNhH8e/whence-the-inkhaven-residency --- Narrated by TYPE III AUDIO . --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts , or another podcast app.…

LessWrong (Curated & Popular)

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“I am worried about near-term non-LLM AI developments” by testingthewaters 10:54

לפני 13 ימים10:54

10:54

TL;DR I believe that: Almost all LLM-centric safety research will not provide any significant safety value with regards to existential or civilisation-scale risks. The capabilities-related forecasts (not the safety-related forecasts) of Stephen Brynes' Foom and Doom articles are correct, except that they are too conservative with regards to timelines. There exists a parallel track of AI research which has been largely ignored by the AI safety community. This agenda aims to implement human-like online learning in ML models, and it is now close to maturity. Keywords: Hierarchical Reasoning Model, Energy-based Model, Test time training. Within 6 months this line of research will produce a small natural-language capable model that will perform at the level of a model like GPT-3, but with improved persistence and effectively no "context limit" since it is constantly learning and updating weights. Further development of this research will produce models that fulfill most of [...] --- Outline: (00:11) TL;DR (01:22) Overview (04:10) The Agenda I am Worried About (07:36) Concrete Predictions (09:29) What I think we should do --- First published: July 31st, 2025 Source: https://www.lesswrong.com/posts/tEZa7PouYatK78bbb/i-am-worried-about-near-term-non-llm-ai-developments --- Narrated by TYPE III AUDIO .…

LessWrong (Curated & Popular)

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“Optimizing The Final Output Can Obfuscate CoT (Research Note)” by lukemarks, jacob_drori, cloud, TurnTrout 11:30

לפני 14 ימים11:30

11:30

Produced as part of MATS 8.0 under the mentorship of Alex Turner and Alex Cloud. This research note overviews some early results which we are looking for feedback on. TL;DR: We train language models with RL in toy environments. We show that penalizing some property of the output is sufficient to suppress that property in the chain of thought also, even when that property is relevant to task completion. For example, when we penalize a model for mentioning in its output that it completed a task via a certain form of cheating, its reasoning also omits this fact. We therefore suspect that training against an output monitor is sufficient to cause obfuscated CoTs in more realistic settings. Introduction Chain of thought (CoT) supervision appears in many control and scalable oversight protocols. It has been argued that being able to monitor CoTs for unwanted behavior is a critical property [...] --- Outline: (00:56) Introduction (02:38) Setup (03:48) Single-Turn Setting (04:26) Multi-Turn Setting (06:51) Results (06:54) Single-Turn Setting (08:21) Multi-Turn Terminal-Based Setting (08:25) Word-Usage Penalty (09:12) LLM Judge Penalty (10:12) Takeaways (10:57) Acknowledgements The original text contained 1 footnote which was omitted from this narration. --- First published: July 30th, 2025 Source: https://www.lesswrong.com/posts/CM7AsQoBxDW4vhkP3/optimizing-the-final-output-can-obfuscate-cot-research-note --- Narrated by TYPE III AUDIO . --- Images from the article:…

LessWrong (Curated & Popular)

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“About 30% of Humanity’s Last Exam chemistry/biology answers are likely wrong” by bohaska 6:40

לפני 15 ימים6:40

6:40

FutureHouse is a company that builds literature research agents. They tested it on the bio + chem subset of HLE questions, then noticed errors in them. The post's first paragraph: Humanity's Last Exam has become the most prominent eval representing PhD-level research. We found the questions puzzling and investigated with a team of experts in biology and chemistry to evaluate the answer-reasoning pairs in Humanity's Last Exam. We found that 29 ± 3.7% (95% CI) of the text-only chemistry and biology questions had answers with directly conflicting evidence in peer reviewed literature. We believe this arose from the incentive used to build the benchmark. Based on human experts and our own research tools, we have created an HLE Bio/Chem Gold, a subset of AI and human validated questions. About the initial review process for HLE questions: [...] Reviewers were given explicit instructions: “Questions should ask for something precise [...] --- First published: July 29th, 2025 Source: https://www.lesswrong.com/posts/JANqfGrMyBgcKtGgK/about-30-of-humanity-s-last-exam-chemistry-biology-answers --- Narrated by TYPE III AUDIO .…

LessWrong (Curated & Popular)

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“Maya’s Escape” by Bridgett Kay 20:24

לפני 15 ימים20:24

20:24

Maya did not believe she lived in a simulation. She knew that her continued hope that she could escape from the nonexistent simulation was based on motivated reasoning. She said this to herself in the front of her mind instead of keeping the thought locked away in the dark corners. Sometimes she even said it out loud. This acknowledgement, she explained to her therapist, was what kept her from being delusional. “I see. And you said your anxiety had become depressive?” the therapist said absently, clicking her pen while staring down at an empty clipboard. “No- I said my fear had turned into despair,” Maya corrected. It was amazing, Maya thought, how many times the therapist had refused to talk about simulation theory. Maya had brought it up three times in the last hour, and each time, the therapist had changed the subject. Maya wasn’t surprised; this [...] --- First published: July 27th, 2025 Source: https://www.lesswrong.com/posts/ydsrFDwdq7kxbxvxc/maya-s-escape --- Narrated by TYPE III AUDIO .…

LessWrong (Curated & Popular)

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“Do confident short timelines make sense?” by TsviBT, abramdemski 2:10:59

לפני 19 ימים2:10:59

2:10:59

TsviBT Tsvi's context Some context: My personal context is that I care about decreasing existential risk, and I think that the broad distribution of efforts put forward by X-deriskers fairly strongly overemphasizes plans that help if AGI is coming in <10 years, at the expense of plans that help if AGI takes longer. So I want to argue that AGI isn't extremely likely to come in <10 years. I've argued against some intuitions behind AGI-soon in Views on when AGI comes and on strategy to reduce existential risk. Abram, IIUC, largely agrees with the picture painted in AI 2027: https://ai-2027.com/ Abram and I have discussed this occasionally, and recently recorded a video call. I messed up my recording, sorry--so the last third of the conversation is cut off, and the beginning is cut off. Here's a link to the first point at which [...] --- Outline: (00:17) Tsvis context (06:52) Background Context: (08:13) A Naive Argument: (08:33) Argument 1 (10:43) Why continued progress seems probable to me anyway: (13:37) The Deductive Closure: (14:32) The Inductive Closure: (15:43) Fundamental Limits of LLMs? (19:25) The Whack-A-Mole Argument (23:15) Generalization, Size, & Training (26:42) Creativity & Originariness (32:07) Some responses (33:15) Automating AGI research (35:03) Whence confidence? (36:35) Other points (48:29) Timeline Split? (52:48) Line Go Up? (01:15:16) Some Responses (01:15:27) Memers gonna meme (01:15:44) Right paradigm? Wrong question. (01:18:14) The timescale characters of bioevolutionary design vs. DL research (01:20:33) AGI LP25 (01:21:31) come on people, its \[Current Paradigm\] and we still dont have AGI?? (01:23:19) Rapid disemhorsepowerment (01:25:41) Miscellaneous responses (01:28:55) Big and hard (01:31:03) Intermission (01:31:19) Remarks on gippity thinkity (01:40:24) Assorted replies as I read: (01:40:28) Paradigm (01:41:33) Bio-evo vs DL (01:42:18) AGI LP25 (01:46:30) Rapid disemhorsepowerment (01:47:08) Miscellaneous (01:48:42) Magenta Frontier (01:54:16) Considered Reply (01:54:38) Point of Departure (02:00:25) Tsvis closing remarks (02:04:16) Abrams Closing Thoughts --- First published: July 15th, 2025 Source: https://www.lesswrong.com/posts/5tqFT3bcTekvico4d/do-confident-short-timelines-make-sense --- Narrated by TYPE III AUDIO . --- Images from the article:…

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1
“HPMOR: The (Probably) Untold Lore” by Gretta Duleba, Eliezer Yudkowsky 1:07:32

לפני 20 ימים1:07:32

1:07:32

Eliezer and I love to talk about writing. We talk about our own current writing projects, how we’d improve the books we’re reading, and what we want to write next. Sometimes along the way I learn some amazing fact about HPMOR or Project Lawful or one of Eliezer's other works. “Wow, you’re kidding,” I say, “do your fans know this? I think people would really be interested.” “I can’t remember,” he usually says. “I don’t think I’ve ever explained that bit before, I’m not sure.” I decided to interview him more formally, collect as many of those tidbits about HPMOR as I could, and share them with you. I hope you enjoy them. It's probably obvious, but there will be many, many spoilers for HPMOR in this article, and also very little of it will make sense if you haven’t read the book. So go read Harry Potter and [...] --- Outline: (01:49) Characters (01:52) Masks (09:09) Imperfect Characters (20:07) Make All the Characters Awesome (22:24) Hermione as Mary Sue (26:35) Who's the Main Character? (31:11) Plot (31:14) Characters interfering with plot (35:59) Setting up Plot Twists (38:55) Time-Turner Plots (40:51) Slashfic? (45:42) Why doesnt Harry like-like Hermione? (49:36) Setting (49:39) The Truth of Magic in HPMOR (52:54) Magical Genetics (57:30) An Aside: What did Harry Figure Out? (01:00:33) Nested Nerfing Hypothesis (01:04:55) Epilogues The original text contained 26 footnotes which were omitted from this narration. --- First published: July 25th, 2025 Source: https://www.lesswrong.com/posts/FY697dJJv9Fq3PaTd/hpmor-the-probably-untold-lore --- Narrated by TYPE III AUDIO . --- Images from the article:…

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The Let Them Theory: A Life-Changing Tool That Millions of People Can't Stop Talking About

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LessWrong (Curated & Popular) « » “X explains Z% of the variance in Y” by Leon Lang

“X explains Z% of the variance in Y” by Leon Lang

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The Let Them Theory: A Life-Changing Tool That Millions of People Can't Stop Talking About

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The Let Them Theory: A Life-Changing Tool That Millions of People Can't Stop Talking About

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LessWrong (Curated & Popular) « »
“X explains Z% of the variance in Y” by Leon Lang