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What the smart people are recommending. 7786 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.
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βSee Documentation page for more details and hints and how to submit to the competition.β
βWe introduce Minimum Specification Perturbation (MSP), the smallest number of changes.β
βWe introduce Perturb-and-Correct (P&C), a post-hoc method for constructing epistemically diverse predictors from a single pretrained network.β
βWe introduce Personalized RewardBench, a novel benchmark designed to rigorously assess reward models' capacity to model personalized preferences.β
βWe present Basis Selection with Importance (BSI), a principled low-rank compression framework that ranks and prunes bases by directly estimating the expected loss increase incurred when each basis is β¦β
β_Blog post by Yann LeCun_β
β# Sampling diverse near-optimal solutions via algorithmic quantum annealingβ
βchristopher monroe is also co-founder and chief scientist at ion a company that is building quantum computers based on individual atoms and applying this incredible computing power to commercial use cβ¦β
βnow i i now want to quote richard feynman who is a colorful physicist in uh who worked in the mid to late 20th centuryβ
βHere, we introduce a quantum-inspired family of nonlocal Nonequilibrium Monte Carlo (NMC) algorithms by developing an adaptive gradient-free strategy that can efficiently learn key instance-wise geomeβ¦β
βShe's written a book on supervised learning with quantum computers.β
βauthor of the Hill algorithm for linear systemsβ
βhe's actually the author of the first paper on, on, on barren plateaus.β
βthere are some, you know, we've recently studied quantum convolutional neural networks, and it looks like this might be an interesting useful architecture in the NISQ eraβ
βat one point i read alan turing's 1950 paper called computing machinery and intelligence which is the turing test paperβ
βwe have an app called serenade who's building on us on codex these days that is for uh for developers to uh to do voice to to to code in an editorβ
βone place i actually take inspiration from is uh uh there's this book called uh what technology wants uh that talks about sort of you know development of new technologiesβ
βwe started out with i we built a software project called open ai gym which a lot of people use in reinforcement learningβ
βand if that sounds interesting to you you may be interested in the abstraction and reasoning corpus which is a kind of intelligence test that's meant to be used by humans and machines that i released β¦β
βHere we give classical sampling algorithms with better total variation distance and Kullback-Leibler divergence than these experiments and a computational cost quadratic in the number of modes.β
βHe started several companies, including Gradescope, which sold to Turnitin a few years agoβ
βand Covariant, which is a company trying to build a universal AI for robotic manipulation.β
βThere's one by Williams called "Lessons in Clarity and Grace". That one, when I started working through that one, it was just like everything made sense.β
βOur results establish Mollifier Layers as an efficient and scalable tool for physics-constrained learning.β
βRails production setup via SQLite3 made durable by https://litestream.io/β
βwe are not normal attendees of super computing many of us but we wanted to bring our research areas to you to talk about what the future of hvc might look like with different types of computing platfoβ¦β
βPlease feel free to put your questions in the slido throughout and we will answer those as we get to themβ
βgoing back pre-cmos to the early electronic computers such as colossus that was used for code raking in world war iiβ
βI will um also use this opportunity to plug uh ieee international conference on reboot and computing which means oh right the um program co-chair for this year if you're interested in learning more abβ¦β
β# jest-playground β Play around with jest β
βi'm also quite involved in a beautiful movement called the deep learning in darba if you've ever been on a machine learning conference you realize that africa is really booming there the coolest partiβ¦β
βIf you want to learn more, you'll find us on github where else just go to qrlions.org and you'll find examples getting started material and more about what we do how we operate and how to contact usβ
βI wrote about the experience of building a custom GPT (in my case, a copy editor) and how OpenAI is paving a path toward powerful AI agents, for better and for worseβ
βIntroducing Super Broadband from T-Mobile for Business. Nationwide 5G integrated with Starlink. Discover more at superbroadband.com.β
βAnd a lot of people kind of -- You know, that was sort of the inspiration, you know, behind Torch, the first Torch, which had the Lua language as the front-end for Caffe2, or for Caffe1, actually, andβ¦β
βWe observe that the comment of [1, arXiv:2302.07897] is consistent with [2] on key points: i) the microscopic mechanism of the experimentally observed teleportation is size winding and ii) the system β¦β
β# On the duality between contrastive and non-contrastive self-supervised learning _Blog post by Yann LeCun_β
βIn this paper, we develop two metrics for critically examining this assumption: Causal Importance of Reasoning (CIR)... and Sufficiency of Reasoning (SR)...β
βwe use streamlit streamless awesome it was really easy to get started - who was in Cabin ce128 we can ask a question we can press submit it should hopefully run in the background we'll get back an ansβ¦β
βHave you ever read chaos by Tom O'Neill I have red cast it is yeah so that you know here's a fun thing so you know if you draw a map of San Francisco at the time that he describes the book chaos this β¦β
βuh there's the other book about Laurel cannon that's even crazier than chaos it's the book called weird scenes in the canyon oh okay you would love this oneβ
βthis is a really cool package that's explicitly focused on um uh question answering over Panda's data frames so we benchmarked thatβ
βno they're gone there's a great documentary on it called holy hell you should watch it it's pretty Bonkers but they're from California from Californiaβ
βand and all this is in this repo that we put up link chain benchmarksβ
βHere we introduce PluRel, a framework to synthesize multi-tabular relational databases from scratch.β
βwe're introducing the Open Molecules 2025 data set and Meta's universal model for atoms...By making open molecules and universal model available, we're enabling researchers to drive innovationβ
βThis model and data set combination enables exceptional speed and accuracy for modeling the world at the atomic scale, accelerating the discovery of new molecules and materials.β
βmy brother John co-founder uh also at Stripe, he started a podcast uh recently um because he's the sort of the funny and charming and uh charismatic one. Uh and so so sorry about bad news for you guysβ
βYann LeCun on a vision to make AI systems learn and reason like animals and humansβ
βWe prove that SOAP, a recently proposed quasi-Newton method, efficiently approximates the Hessian preconditioner, enabling breakthrough performance in PINNsβ
βif you've never made an AR effect before I really recommend it it's honestly the most empowering experience when thousands of people can use something that you've made but then they can put their own β¦β
βiOS 26.5 is officially out to the public... there were a good amount of features worth sharing with 26.5 and a bunch of quality of life updates.β
βTo guide the selection of measurement methods designed for this observable estimation problem, we propose a benchmark called CSHOREBench (Common States and Hamiltonians for ObseRvable Estimation Benchβ¦β
βWe formalize this setting as reinforcement learning with rich feedback and introduce Self-Distillation Policy Optimization (SDPO)β
βTo address these limitations, we introduce Obj-Disco, a framework that automatically decomposes an alignment reward signal into a sparse, weighted combination of human-interpretable natural language oβ¦β
βI gave my brother a New York Times subscription. We exchange articles... It was such a cool and thoughtful gift. Learn more about giving a New York Times subscription as a gift at nytimes.com slash giβ¦β
βthe IBM Quantum system to that's coming out at the end of this this year is our is is our huge commitmentβ
βThere are very few celebrity memoirs I've been more eager to read than Lena Dunham's Fame Sick... Her memoir, Fame Sick, is available April 14th.β
βHis book reinforcement learning and introduction has both educated and inspired scores of graduate students and Beyond and is one of the most approachable people in the field always having time for reβ¦β
βThere's a system that Google's producing called MedPalm2, which has learned to do diagnoses. And it's already, I think it's better than an average doctor now.β
βthis new processor the IBM Heron Quantum processor it's 133 cubits but it's more importantly is about three to five times better in how performant it is with lower cross talk and things like thisβ
βThe partnership will be embodied within Keen Technologies uh which is a startup that John created about a year ago and as of today I'm an employee of that companyβ
βI call it kis kit patterns uh but what what what's more important is it's a way of thinking of an application and so what I think it's the time to move from like executing these Quantum circuits like β¦β
βI encourage you to explore our full blog post for more details and together let's push the boundaries of AI research to solve the big scientific questions about human and machine intelligence.β
βWebsite is spyglass.org. Definitely one of my must reads uh whenever it comes to tech and AI.β
βhis knowledge and Brilliance was first demonstrated in Technical Innovations in 2D and 3D graphics and in computer games such as doom and Quake his engineering skills were honed on rockets at amβ
βCahier also raised 170 million round or a couple of rounds this year so uh so hi Nick hey how's it going very well H where does this podcast find you today what country what city what part of the worlβ¦β
βIf you visit the show notes page for this episode of the podcast at preposterous universe.com slmp podcast will give you links to all these things the paper the books the competition and so forthβ
βthey put out this, um documentary. It's called The Thinking Game. I'm in the middle of it... Very good. It's with people... it has 260 million views on YouTube.β
βFormation of robust bound states of interacting microwave photonsβ
βI have a Pixel Fold as my sort of Android backup device that I test things on, and I do um generally like it a lotβ
β# Noise-resilient Edge Modes on a Chain of Superconducting Qubits _ArXiv paper co-authored by Hartmut Neven_β
βmost people know the Transformers library, but there's a whole ecosystem around it from Diffusers, Sentence Transformers, TRL, PEFT, even LLaVA, and since last week Llama.cppβ
βActive Self-Supervised Learning: A Few Low-Cost Relationships Are All You Needβ
β# react-postgres-components β An experiment on deploying remote functions that run inside Postgres using v8β
βI would use a tool called FrontPageβ
βThere is nobody else within a decade. That's what you should have led with. In terms of their ability to loft things to launch. Well, I do think this is the biggest point. That is one of the biggest pβ¦β
βthe eBay of Latin America Mercado Libre had kicked off a revenue sharing program it was called Mercado socios so like Mercado Associatesβ
βOne of my earliest investments was auth0β
βthe reason that gitlab [&Β __Β ] Hashi you know a lot of these companies are successful it's not just because they did only open sourceβ
βthere's a whole ecosystem around it from Diffusers, Sentence Transformers, TRL, PEFT, even LLaVA, and since last week Llama.cpp. So it's a constellation of tools for AI builders to build with open modβ¦β
βthere's a whole ecosystem around it from Diffusers, Sentence Transformers, TRL, PEFT, even LLaVA, and since last week Llama.cpp. So it's a constellation of tools for AI builders to build with open modβ¦β
βthere's a whole ecosystem around it from Diffusers, Sentence Transformers, TRL, PEFT, even LLaVA, and since last week Llama.cpp. So it's a constellation of tools for AI builders to build with open modβ¦β
βreact-detect-click-outsideβ
βokay occasional reminder that you can support the mindscape podcast on patreon go to patreon.com shmc Caroll and kick in a buck or two for every episode of mindscape in return you get adree versions oβ¦β
βYou can find him on LinkedIn at Forin scobleizer I'll spell it for you s c o b l e i z r you can also find him at x.com sloyer we'll put that in the show notes but Robert welcome thank you for having β¦β
βstyled-componentsβ
βso like I'm running a limitless which listens to uh my voice on calls like this and writes a transcript rightβ
βSorry, this is now gonna become an infomercial, but there's a book Stripe Press published called "The Big Score", about the semiconductor industry, primarily in Silicon Valley, in the seventies and thβ¦β
βthere's a whole ecosystem around it from Diffusers, Sentence Transformers, TRL, PEFT, even LLaVA, and since last week Llama.cpp. So it's a constellation of tools for AI builders to build with open modβ¦β
βthere's a whole ecosystem around it from Diffusers, Sentence Transformers, TRL, PEFT, even LLaVA, and since last week Llama.cpp. So it's a constellation of tools for AI builders to build with open modβ¦β
βher HBO show Girls was a true generational touchstone.β
βhey I want to tell you about a new site that I built called writing examples we take writers like Steinbeck Orwell Seinfeld and break down what makes their writing so good if that sounds like it's kinβ¦β
βjust last week the Transformers team wrote a really, really cool blog post about MoEs and how they work. So if anybody watching is interested, that's a great way to get into it.β
βWe've had this historically with with Dolly 2β
βWe're building Mistral AI Studio, which is kind of like a platform you can customize as a company using our open source modelsβ
βDolly 3 really if if folks have tried it it it takes things to the next levelβ
βMeta is the right partner for open-source AI development. Not just with their llama models they have a gamut of other infrastructure llama stack exeutor torch and many libraries.β
βLet's use gbtv U or gbt 4 with with image inputs to essentially create a nice human readable understandable description of that imageβ