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All About Change


1 Tiffany Yu — Smashing Stereotypes and Building a Disability-Inclusive World 30:23
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Tiffany Yu is the CEO & Founder of Diversability, an award-winning social enterprise to elevate disability pride; the Founder of the Awesome Foundation Disability Chapter, a monthly micro-grant that has awarded $92.5k to 93 disability projects in 11 countries; and the author of The Anti-Ableist Manifesto: Smashing Stereotypes, Forging Change, and Building a Disability-Inclusive World. As a person with visible and invisible disabilities stemming from a car crash, Tiffany has built a career on disability solidarity. Now that she has found success, she works to expand a network of people with disabilities and their allies to decrease stigmas around disability and create opportunities for disabled people in America. Episode Chapters 0:00 Intro 1:26 When do we choose to share our disability stories? 4:12 Jay’s disability story 8:35 Visible and invisible disabilities 13:10 What does an ally to the disability community look like? 16:34 NoBodyIsDisposable and 14(c) 21:26 How does Tiffany’s investment banking background shape her advocacy? 27:47 Goodbye and outro For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/…
Highlights From The Comments On AI Geoguessr
Manage episode 486643076 series 2949891
Content provided by Jeremiah Prophet. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeremiah Prophet or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Thanks to everyone who commented on the original post. https://www.astralcodexten.com/p/highlights-from-the-comments-on-ai
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1072 episodes
Manage episode 486643076 series 2949891
Content provided by Jeremiah Prophet. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeremiah Prophet or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Thanks to everyone who commented on the original post. https://www.astralcodexten.com/p/highlights-from-the-comments-on-ai
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Astral Codex Ten Podcast

1 Your Review: Of Mice, Mechanisms, and Dementia 47:55
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[This is one of the finalists in the 2025 review contest, written by an ACX reader who will remain anonymous until after voting is done. I’ll be posting about one of these a week for several months. When you’ve read them all, I’ll ask you to vote for a favorite, so remember which ones you liked] “The scientific paper is a ‘ fraud ’ that creates “a totally misleading narrative of the processes of thought that go into the making of scientific discoveries.” This critique comes not from a conspiracist on the margins of science, but from Nobel laureate Sir Peter Medawar. A brilliant experimentalist whose work on immune tolerance laid the foundation for modern organ transplantation, Sir Peter understood both the power and the limitations of scientific communication. Consider the familiar structure of a scientific paper: Introduction (background and hypothesis), Methods, Results, Discussion, Conclusion. This format implies that the work followed a clean, sequential progression: scientists identified a gap in knowledge, formulated a causal explanation, designed definitive experiments to fill the gap, evaluated compelling results, and most of the time, confirmed their hypothesis. Real lab work rarely follows such a clear path. Biological research is filled with what Medawar describes lovingly as “messing about”: false starts, starting in the middle, unexpected results, reformulated hypotheses, and intriguing accidental findings. The published paper ignores the mess in favour of the illusion of structure and discipline. It offers an ideal version of what might have happened rather than a confession of what did. The polish serves a purpose. It makes complex work accessible (at least if you work in the same or a similar field!). It allows researchers to build upon new findings. But the contrived omissions can also play upon even the most well-regarded scientist’s susceptibility to the seduction of story. As Christophe Bernard, Director of Research at the Institute of Systems Neuroscience (Marseilles, Fr.) recently explained , “when we are reading a paper, we tend to follow the reasoning and logic of the authors, and if the argumentation is nicely laid out, it is difficult to pause, take a step back, and try to get an overall picture.” Our minds travel the narrative path laid out for us, making it harder to spot potential flaws in logic or alternative interpretations of the data, and making conclusions feel far more definitive than they often are. Medawar’s framing is my compass when I do deep dives into major discoveries in translational neuroscience. I approach papers with a dual vision. First, what is actually presented? But second, and often more importantly, what is not shown? How was the work likely done in reality? What alternatives were tried but not reported? What assumptions guided the experimental design? What other interpretations might fit the data if the results are not as convincing or cohesive as argued? And what are the consequences for scientific progress? In the case of Alzheimer’s research, they appear to be stark: thirty years of prioritizing an incomplete model of the disease’s causes; billions of corporate, government, and foundation dollars spent pursuing a narrow path to drug development; the relative exclusion of alternative hypotheses from funding opportunities and attention; and little progress toward disease-modifying treatments or a cure. https://www.astralcodexten.com/p/your-review-of-mice-mechanisms-and…
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Astral Codex Ten Podcast

1 Practically-A-Book Review: Byrnes on Trance 24:07
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Steven Byrnes is a physicist/AI researcher/amateur neuroscientist; needless to say, he blogs on Less Wrong. I finally got around to reading his 2024 series giving a predictive processing perspective on intuitive self-models . If that sounds boring, it shouldn’t: Byrnes charges head-on into some of the toughest subjects in psychology, including trance, amnesia, and multiple personalities. I found his perspective enlightening (no pun intended; meditation is another one of his topics) and thought I would share. It all centers around this picture: But first: some excruciatingly obvious philosophical preliminaries. https://www.astralcodexten.com/p/practically-a-book-review-byrnes…
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Astral Codex Ten Podcast

In June 2022, I bet a commenter $100 that AI would master image compositionality by June 2025. DALL-E2 had just come out, showcasing the potential of AI art. But it couldn’t follow complex instructions; its images only matched the “vibe” of the prompt. For example, here were some of its attempts at “a red sphere on a blue cube, with a yellow pyramid on the right, all on top of a green table”. At the time, I wrote: I’m not going to make the mistake of saying these problems are inherent to AI art. My guess is a slightly better language model would solve most of them…for all I know, some of the larger image models have already fixed these issues. These are the sorts of problems I expect to go away with a few months of future research. Commenters objected that this was overly optimistic. AI was just a pattern-matching “stochastic parrot”. It would take a deep understanding of grammar to get a prompt exactly right, and that would require some entirely new paradigm beyond LLMs. For example, from Vitor : Why are you so confident in this? The inability of systems like DALL-E to understand semantics in ways requiring an actual internal world model strikes me as the very heart of the issue. We can also see this exact failure mode in the language models themselves. They only produce good results when the human asks for something vague with lots of room for interpretation, like poetry or fanciful stories without much internal logic or continuity. Not to toot my own horn, but two years ago you were naively saying we'd have GPT-like models scaled up several orders of magnitude (100T parameters) right about now ( https://readscottalexander.com/posts/ssc-the-obligatory-gpt-3-post#comment-912798 ). I'm registering my prediction that you're being equally naive now. Truly solving this issue seems AI-complete to me. I'm willing to bet on this (ideas on operationalization welcome). So we made a bet ! All right. My proposed operationalization of this is that on June 1, 2025, if either if us can get access to the best image generating model at that time (I get to decide which), or convince someone else who has access to help us, we'll give it the following prompts: 1. A stained glass picture of a woman in a library with a raven on her shoulder with a key in its mouth 2. An oil painting of a man in a factory looking at a cat wearing a top hat 3. A digital art picture of a child riding a llama with a bell on its tail through a desert 4. A 3D render of an astronaut in space holding a fox wearing lipstick 5. Pixel art of a farmer in a cathedral holding a red basketball We generate 10 images for each prompt, just like DALL-E2 does. If at least one of the ten images has the scene correct in every particular on 3/5 prompts, I win, otherwise you do. Loser pays winner $100, and whatever the result is I announce it on the blog (probably an open thread). If we disagree, Gwern is the judge. Some image models of the time refused to draw humans, so we agreed that robots could stand in for humans in pictures that required them. In September 2022, I got some good results from Google Imagen and announced I had won the three-year bet in three months . Commenters yelled at me, saying that Imagen still hadn’t gotten them quite right and my victory declaration was premature. The argument blew up enough that Edwin Chen of Surge, an “RLHF and human LLM evaluation platform”, stepped in and asked his professional AI data labelling team. Their verdict was clear : the AI was bad and I was wrong. Rather than embarrass myself further, I agreed to wait out the full length of the bet and re-evaluate in June 2025. The bet is now over, and official judge Gwern agrees I’ve won . Before I gloat, let’s look at the images that got us here. https://www.astralcodexten.com/p/now-i-really-won-that-ai-bet…
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Astral Codex Ten Podcast

[This is one of the finalists in the 2025 review contest, written by an ACX reader who will remain anonymous until after voting is done. It was originally given an Honorable Mention, but since last week’s piece was about an exciting new experimental school, I decided to promote this more conservative review as a counterpoint.] “Democracy is the worst form of Government except for all those other forms that have been tried from time to time.” - Winston Churchill “There exists in such a case a certain institution or law; let us say, for the sake of simplicity, a fence or gate erected across a road. The more modern type of reformer goes gaily up to it and says, “I don’t see the use of this; let us clear it away.” To which the more intelligent type of reformer will do well to answer: “If you don’t see the use of it, I certainly won’t let you clear it away. Go away and think. Then, when you can come back and tell me that you do see the use of it, I may allow you to destroy it.” - G.K. Chesterton https://www.astralcodexten.com/p/your-review-school…
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Astral Codex Ten Podcast

1 Highlights From The Comments On Missing Heritability 1:00:04
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[Original thread here: Missing Heritability: Much More Than You Wanted To Know ] 1: Comments From People Named In The Post 2: Very Long Comments From Other Very Knowledgeable People 3: Small But Important Corrections 4: Other Comments https://www.astralcodexten.com/p/highlights-from-the-comments-on-missing-ed5…
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Astral Codex Ten Podcast

[I haven’t independently verified each link. On average, commenters will end up spotting evidence that around two or three of the links in each links post are wrong or misleading. I correct these as I see them, and will highlight important corrections later, but I can’t guarantee I will have caught them all by the time you read this.] https://www.astralcodexten.com/p/links-for-july-2025…
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Astral Codex Ten Podcast

Stephen Skolnick is a gut microbiome expert blogging at Eat Shit And Prosper . His most recent post argues that contra the psychiatric consensus, schizophrenia isn’t genetic at all - it’s caused by a gut microbe. He argues: Scientists think schizophrenia is genetic because it obviously runs in families But the twin concordance rates are pretty low - if your identical twin has schizophrenia, there’s only about a 30%-40% chance that you get it too. Is that really what we would expect from a genetic disease? Also, scientists have looked for schizophrenia genes, and can only find about 1-2% as many as they were expecting. So maybe we should ask how a disease can run in families without being genetic. Gut microbiota provide an answer: most people “catch” their gut microbiome from their parents. Studies find that schizophrenics have very high levels of a gut bacterium called Ruminococcus gnavus. This bacterium secretes psychoactive chemicals. Constant exposure to these chemicals might be the cause of schizophrenia. I disagree with all of this. Going in order: https://www.astralcodexten.com/p/contra-skolnick-on-schizophrenia…
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Astral Codex Ten Podcast

[This is one of the finalists in the 2025 review contest, written by an ACX reader who will remain anonymous until after voting is done. I’ll be posting about one of these a week for several months. When you’ve read them all, I’ll ask you to vote for a favorite, so remember which ones you liked] “Just as we don’t accept students using AI to write their essays, we will not accept districts using AI to supplant the critical role of teachers.” — Arthur Steinberg, American Federation of Teachers‑PA, reacting to Alpha’s cyber‑charter bid, January 2025 In January 2025, the charter school application of “ Unbound Academy ”, a subsidiary of “ 2 Hour Learning, Inc ”, lit up the education press: two hours of “AI‑powered” academics, 2.6x learning velocity, and zero teachers. Sympathetic reporters repeated the slogans; union leaders reached for pitchforks; Reddit muttered “ another rich‑kid scam .” More sophisticated critics dismissed the pitch as “selective data from expensive private schools”. But there is nowhere on the internet that provides a detailed, non-partisan, description of what the “2 hour learning” program actually is, let alone an objective third party analysis to back up its claims. 2-Hour Learning’s flagship school is the “Alpha School” in Austin Texas. The Alpha homepage makes three claims: Love School Learn 2X in two-hours per day Learn Life Skills Only the second claim seems to be controversial, which may be exactly why that is the claim the Alpha PR team focuses on. That PR campaign makes three more sub-claims on what the two-hour, 2x learning really means: “Learn 2.6X faster.” (on average) “Only two hours of academics per day.” “Powered by AI (not teachers).” If all of this makes your inner Bayesian flinch, you’re in good company. After twenty‑odd years of watching shiny education fixes wobble and crash—KIPP, AltSchool, Summit Learning, One-laptop-per-child, No child left behind, MOOCs, Khan‑for‑Everything—you should be skeptical. Either Alpha is (a) another program for the affluent propped up by selection effects, or (b) a clever way to turn children into joyless speed‑reading calculators. Those were, more or less, the two critical camps that emerged when Alpha’s parent company was approved to launch the tuition‑free Arizona charter school this past January. Unfortunately, the public evidence base on whether this is “real” is thin in both directions. Alpha’s own material is glossy and elliptical; mainstream coverage either repeats Alpha’s talking points, or attacks the premise that kids should even be allowed to learn faster than their peers. Until Raj Chetty installs himself in the hallway with a clipboard counting MAP percentiles it is hard to get real information on what exactly Alpha is doing, whether it is actually working beyond selection effects, and if there is anyway it could scale in a way that all the other education initiatives seemed to fail to do. I first heard about Alpha in May 2024, and in the absence of randomized‑controlled clarity, I did what any moderately obsessive parent with three elementary-aged kids and an itch for data would do: I moved the family across the country to Austin for a year and ran the experiment myself (unfortunately, despite trying my best we never managed to have identical twins, so I stopped short of running a proper control group. My wife was less disappointed than I was). Since last autumn I’ve collected the sort of on‑the‑ground detail that doesn’t surface in press releases, or is available anywhere online: long chats with founders, curriculum leads, “guides” (not teachers), Brazilian Zoom coaches, sceptical parents, ecstatic parents, and the kids who live inside the Alpha dashboard – including my own. I hope this seven-part review can help share what the program actually is and that this review is more open minded than the critics, but is something that would never get past an Alpha public relations gatekeeper: https://www.astralcodexten.com/p/your-review-alpha-school…
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Astral Codex Ten Podcast

1 Missing Heritability: Much More Than You Wanted To Know 1:01:58
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The Story So Far The mid-20th century was the golden age of nurture. Psychoanalysis, behaviorism, and the spirit of the ‘60s convinced most experts that parents, peers, and propaganda were the most important causes of adult personality. Starting in the 1970s, the pendulum swung the other way. Twin studies shocked the world by demonstrating that most behavioral traits - especially socially relevant traits like IQ - were substantially genetic. Typical estimates for adult IQ found it was about 60% genetic, 40% unpredictable, and barely related at all to parenting or family environment. By the early 2000s, genetic science reached a point where scientists could start pinpointing the particular genes behind any given trait. Early candidate gene studies, which hoped to find single genes with substantial contributions to IQ, depression, or crime, mostly failed. They were replaced with genome wide association studies, which accepted that most interesting traits were polygenic - controlled by hundreds or thousands of genes - and trawled the whole genome searching for variants that might explain 0.1% or even 0.01% of the pie. The goal shifted toward polygenic scores - algorithms that accepted thousands of genes as input and spit out predictions of IQ, heart disease risk, or some other outcome of interest. The failed candidate gene studies had sample sizes in the three or four digits. The new genome-wide studies needed five or six digits to even get started. It was prohibitively difficult for individual studies to gather so many subjects, genotype them, and test them for the outcome of interest, so work shifted to big centralized genome repositories - most of all the UK Biobank - and easy-to-measure traits. Among the easiest of all was educational attainment (EA), ie how far someone had gotten in school. Were they a high school dropout? A PhD? Somewhere in between? This correlated with all the spicy outcomes of interest people wanted to debate - IQ, wealth, social class - while being objective and easy to ask about on a survey. Twin studies suggested that IQ was about 60% genetic, and EA about 40%. This seemed to make sense at the time - how far someone gets in school depends partly on their intelligence, but partly on fuzzier social factors like class / culture / parenting. The first genome-wide studies and polygenic scores found enough genes to explain 2%pp 1 of this 40% pie. The remaining 38%, which twin studies deemed genetic but where researchers couldn’t find the genes - became known as “the missing heritability” or “the heritability gap”. Scientists came up with two hypothesis for the gap, which have been dueling ever since: Maybe twin studies are wrong. Maybe there are genes we haven’t found yet For most of the 2010s, hypothesis 2 looked pretty good. Researchers gradually gathered bigger and bigger sample sizes, and found more and more of the missing heritability. A big 2018 study increased the predictive power of known genes from 2% to 10%. An even bigger 2022 study increased it to 14%, and current state of the art is around 17%. Seems like it was sample size after all! Once the samples get big enough we’ll reach 40% and finally close the gap, right? This post is the story of how that didn’t happen, of the people trying to rehabilitate the twin-studies-are-wrong hypothesis, and of the current status of the debate. Its most important influence/foil is Sasha Gusev , whose blog The Infintesimal introduced me to the new anti-hereditarian movement and got me to research it further, but it’s also inspired by Eric Turkheimer , Alex Young (not himself an anti-hereditarian, but his research helped ignite interest in this area), and Awais Aftab . (while I was working on this draft, the East Hunter Substack wrote a similar post . Theirs is good and I recommend it, but I think this one adds enough that I’m publishing anyway) https://www.astralcodexten.com/p/missing-heritability-much-more-than…
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Astral Codex Ten Podcast

Related to: ACX Grants 1-3 Year Updates https://www.astralcodexten.com/p/open-questions-for-future-acx-grants
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Astral Codex Ten Podcast

The first cohort of ACX Grants was announced in late 2021 , the second in early 2024 . In 2022, I posted one-year updates for the first cohort. Now, as I start thinking about a third round, I’ve collected one-year updates on the second and three-year updates on the first. Many people said my request for updates went to their spam folder; relatedly, many people have not yet sent in their updates. If you’re a grantee who didn’t see my original email, but you do see this post, please fill in the update form here . All quote blocks are the grantees’ own words; text outside of quote blocks is my commentary. https://readscottalexander.com/posts/acx-acx-grants-1-3-year-updates…
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Astral Codex Ten Podcast

This is a reported phenomenon where if two copies of Claude talk to each other, they end up spiraling into rapturous discussion of spiritual bliss, Buddhism, and the nature of consciousness. From the system card : Anthropic swears they didn’t do this on purpose; when they ask Claude why this keeps happening, Claude can’t explain. Needless to say, this has made lots of people freak out / speculate wildly. I think there are already a few good partial explanations of this (especially Nostalgebraist here ), but they deserve to be fleshed out and spread more fully. https://www.astralcodexten.com/p/the-claude-bliss-attractor…
This is another heuristic from the same place as If It’s Worth Your Time To Lie, It’s Worth My Time To Correct You . If someone proves you are absolutely, 100% wrong about something, it’s polite to say “Oh, I guess I was wrong, sorry” before launching into your next argument. That is, instead of: https://readscottalexander.com/posts/acx-but-vs-yes-but…
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Astral Codex Ten Podcast

1 If It's Worth Your Time To Lie, It's Worth My Time To Correct It 5:24
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People don’t like nitpickers. “He literally did the WELL AKTUALLY!” If you say Joe Criminal committed ten murders and five rapes, and I object that it was actually only six murders and two rapes, then why am I “defending” Joe Criminal? Because if it’s worth your time to lie, it’s worth my time to correct it. https://www.astralcodexten.com/p/if-its-worth-your-time-to-lie-its…
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Astral Codex Ten Podcast

There’s a long-running philosophical argument about the conceivability of otherwise-normal people who are not conscious, aka “philosophical zombies” . This has spawned a shorter-running (only fifteen years!) rationalist sub-argument on the topic. The last time I checked its status was this post , which says: 1. Both Yudkowsky and Chalmers agree that humans possess “qualia”. 2. Chalmers argues that a superintelligent being which somewhow knew the positions of all particles in a large region of the Universe would need to be told as an additional fact that any humans (or other minds possessing qualia) in this region of space possess qualia – it could not deduce this from mere perfect physical knowledge of their constituent particles. Therefore, qualia are in some sense extra-physical. 3. Yudkowsky argues that such a being would notice that humans discuss at length the fact that they possess qualia, and their internal narratives also represent this fact. It is extraordinarily improbable that beings would behave in this manner if they did not actually possess qualia. Therefore an omniscient being would conclude that it is extremely likely that humans possess qualia. Therefore, qualia are not extra-physical. I want to re-open this (sorry!) by disagreeing with the bolded sentence. I think beings would talk about qualia - the “mysterious redness of red” and all that - even if we start by assuming they don’t have it. I realize this is a surprising claim, but that’s why it’s interesting enough to re-open the argument over 1 . https://www.astralcodexten.com/p/p-zombies-would-report-qualia…
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