Running Pydantics Monty Rust Sandboxed Python Subset In Webassembly
β# Running Pydantic's Monty Rust sandboxed Python subset in WebAssemblyβ
What the smart people are recommending. 7861 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.
β# Running Pydantic's Monty Rust sandboxed Python subset in WebAssemblyβ
β# D4RT: Teaching AI to see the world in four dimensions _Blog post by Google DeepMind_ https://deepmind.google/blog/d4rt-teaching-ai-to-see-the-world-in-four-dimensionsβ
βThe evolution of OpenAI's mission statementβ
βhttps://blogs.nvidia.com/blog/ai-5-layer-cake/β
βNew post: Endnotes on 2020: Crypto and Beyondβ
β# Gemini 3.1 Flash Live: Making audio AI more natural and reliableβ
βHow to use AI for your next job interviewβ
β_Blog post by Lenny Rachitsky_β
β_Blog post by Cohere_β
βhttps://anthropic.com/news/where-stand-department-warβ
β# How to prompt Seedream 5.0β
β# Experimenting with Starlette 1.0 with Claude skills _Blog post by Simon Willison_ https://simonwillison.net/2026/Mar/22/starlette/β
βBlog post by Ben Thompson https://stratechery.com/2026/jensen-huang-and-andy-grove-groq-lpus-and-vera-cpus-hotel-california/β
β# Plan, divide, and conquer: How weak models excel at long context tasksβ
β# Vibe coding SwiftUI apps is a lot of funβ
βAnnouncing the LangChain + MongoDB Partnership: The AI Agent Stack That Runs On The Database You Already Trustβ
βEnsemble and Cohere building the first RCMβnative healthcare LLMβ
βHow can we stay open to both the suffering and the joy of lifeβ
β_Blog post by Patrick Collison_ https://patrickcollison.com/questionsβ
β_Blog post by Mark Zuckerberg_β
β_Blog post by Patrick Collison_ https://patrickcollison.com/growthβ
βBlog post by Naval Ravikantβ
βExactly. Exactly. Although, as people figure out in my emerging boats report, and many people already know, Argentina does not have new bank and that's one of the reasons why Marcato Pago is much moreβ¦β
βBlog post by Naval Ravikantβ
β# AP SBC: The Tragic Algebra Recurrenceβ
βI've written about this in a blog post I did called grow the puzzle around you which essentially was a little bit the most autobiographical thing I've ever written and it really is to inspire other peβ¦β
β_Blog post by LangChain_β
βMaking Something Social Destroys the Truth of It _Blog post by Naval Ravikant_β
β# 10 Sunday Reads _Blog post by Barry Ritholtz_β
β# Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture _Blog post by Yann LeCun_β
βDonβt Rely on Credibility Stamps _Blog post by Naval Ravikant_ https://nav.al/credibilityβ
β_Blog post by Naval Ravikant_β
βHow founders can build Trust & Safety teamsβ
β_Blog post by Naval Ravikant_β
β_Blog post by LangChain_β
βOne Einstein Is Worth A Legion Of PhD Drones _Blog post by Naval Ravikant_β
β_Blog post by Naval Ravikant_β
β_Blog post by LangChain_β
β_Blog post by LangChain_β
βBefore we start on quantumβ
β# Roll your way to a billion dollar startup - Advice for founders from Katamari Damacy _Blog post by Garry Tan_β
β# Suppressing quantum errors by scaling a surface code logical qubit _ArXiv paper co-authored by Hartmut Neven_β
β# Six skills for startup success: What founders can do to improve their chances before they take the plungeβ
β# 2026: the biggest year of M&A in history? _Blog post by Andreessen Horowitz_ https://a16z.com/2026-the-biggest-year-of-ma-in-historyβ
βThis was all the way back in 2017 when we created this paper called the βUnsupervised Sentiment Neuron.ββ
βBlog post by Andreessen Horowitz https://a16z.com/the-case-for-scaling-ventureβ
β11 years ago I wrote a big \n\n uh \n uh \n essay which was called the ghost in the quantum touring machine \n uh which which was very much about \n uh \n uh \n that kind of questionβ
βWrote about how to help young men, many of whom are failing π https://www.profgalloway.com/boys-to-men/β
βhttps://statedept.substack.com/p/100-days-of-an-america-first-state-departmentβ
βSo we have a couple articles on the deconstructor of fun. So we have match three D genre deconstruction by Amit Chan, host of our puzzle monthly and Josh Chanley host of UAE monthly.β
βWhy infinite scroll's inventor wants to kill his creationβ
βBlog post by Andrew Ngβ
βBarbara Friedβs 'The Trial of Sam Bankman-Fried'β
β# Strengthening LLM guardrails with synthetic data generationβ
βSecuring the next generation of AI agentsβ
β# How I Beat Lyme Disease with The Ketogenic Diet β Science, How-To Protocols, and 10+ Years of Zero Symptomsβ
βWell, Entropic actually released this blog post recently called improve Sonic for front end design through skills. It basically introduces front-end design skew that you can install in cloud code and β¦β
βMarc Andreessen: What We Got Rightβand WrongβAbout the Future of Tech _Blog post by Marc Andreessen_β
β# Best Supplements for Travel: Support for Jet Lag, Digestion, Sleep & Immune Health*β
βIn a recent essay with Sai Kapoor called AGI is not a milestone, we argued that nukes are the wrong analogy for AI in every possible way.β
βI still remember that year kind of the thrill when I read like a freshly big Alex net paper just like out of nurs right and I really appreciated its Simplicity and minimalismβ
βEvery link in R^3 can be represented by a one-vertex ribbon graph. We prove a Markov type theorem on this subset of link diagrams.β
βToday's really good. The real topic, what we'll be discussing, America is rewriting its relationship with news. So we are thrilled to have Pew Research join the show. I've been using their research siβ¦β
β# Why Every Organization Needs a Chief of Staff Like This Oneβ
βUAE monthly wrote about the user acquisition system that companies need to build versus rely on the networks to handle for it. Sounds complicated. But he's actually just really writing what kind of a β¦β
βI'm very excited about FMA and more generally Foundation models for robotics at the beginning we briefly touch on this statement that the history of AI is a history of unification before alexnet 2012β
βExperiments on MMToM-QA, MuMA and FanToM show that PDDL-Mind achieves over 5% absolute accuracy gain over the best existing state-of-the-art method on ToM benchmark questions.β
βExperiments on MMToM-QA, MuMA and FanToM show that PDDL-Mind achieves over 5% absolute accuracy gain over the best existing state-of-the-art method on ToM benchmark questions.β
βExperiments on MMToM-QA, MuMA and FanToM show that PDDL-Mind achieves over 5% absolute accuracy gain over the best existing state-of-the-art method on ToM benchmark questions.β
βWe propose \textbf{LAnR} (Latent Abstraction for RAG), a unified framework... Extensive experiments on six QA benchmarks... demonstrate that LAnR outperforms existing RAG methods...β
βTo bridge this gap, we introduce ReCoQA, a large-scale benchmark of 29,270 real-estate instances...β
βComplementarily, we propose HIRE-Agent, a hierarchical framework... Extensive experiments demonstrate that HIRE-Agent constitutes a strong baseline...β
βIt leverages COUP, a recent Bayesian optimization algorithm (Graham, Velez & Leyton-Brown, 2026), after introducing several substantive modifications to make the algorithm suitable for practical LLM pβ¦β
βFrom: https://t.co/a5VGTQk18Lβ
βCross-benchmark validation on 18 models using MMLU with verbalized confidence and on external data from Yang et al. (2024) confirms the screen transfers across benchmarks and probe formats.β
βThat's Julia Minson, professor at the Harvard Kennedy School, co-author of the HBR article, A Smarter Way to Disagree, and author of the new book, How to Disagree.β
βCompanion papers extract a portable screening protocol (Cacioli, 2026e) and validate it against selective prediction (Cacioli, 2026f).β
βCompanion papers extract a portable screening protocol (Cacioli, 2026e) and validate it against selective prediction (Cacioli, 2026f).β
βSee also my posts: * https://t.co/cezOk1ilHyβ
β* https://t.co/wCjLcUoyxYβ
βWe present SWE-chat, the first large-scale dataset of real coding agent sessions collected from open-source developers in the wild.β
βThe Federal Reserve put out a paper, CalShe and the rise of macro markets. Maybe you can dive into that because that seems right at the sweet spot of where you came from and where you're from.β
βThe other thing that I'll say that is kind of interesting about the Fed paper is three months prior to the Fed releasing this paper, Kalshi Research released a paper. It was our first paper, and it waβ¦β
β* https://t.co/LTMrsxFeuSβ
βThe New York Times story: https://www.nytimes.com/2024/12/12/technology/ev-williams-twitter-medium-mozi.html?smid=nytcore-ios-share&referringSource=articleShareβ
βTo bridge this gap, we propose Language-Agnostic Utility-driven Reranker Alignment (LAURA), which aligns multilingual evidence ranking with downstream generative utility.β
βThis paper presents FΒ²LP-AP (Fast and Flexible Label Propagation with Adaptive Propagation Kernel), a training-free, computationally efficient framework...β
βRead our research: https://research.perplexity.ai/articles/advancing-search-augmented-language-modelsβ
βDive into the technical details β https://deepmind.google/blog/decoupled-diloco/?utm_source=x&utm_medium=social&utm_campaign=&utm_content=β
βI endorse everything in this manifesto.β
βThere are still likely a few weeks before the company files publicly, but PitchBook recently put out a great report looking at the business and its valuation. I want to bring on PitchBook's Franco Graβ¦β
βWe have to shill Josh's uh blog post on deconstructor of fun. Now blog post is called the systems the platform can't build for youβ
βGift link: Yale Has Come Up With a Surefire Way to Make a Terrible Situation Worse https://t.co/LN1OWwM5hXβ
βWe introduce VEFX-Dataset, a human-annotated dataset containing 5,049 video editing examples across 9 major editing categories and 32 subcategories...β
βBuilding on VEFX-Dataset, we propose VEFX-Reward, a reward model designed specifically for video editing quality assessment.β
βIn this work, we present SCALA (Signaling CA with Local Attraction), a novel non-hierarchical cellular automaton decoder for quantum repetition and toric codes.β
βBy evaluating SCALA alongside the hierarchical CA decoder proposed by Harrington, we provide a direct comparison between non-hierarchical and renormalization-group-style local decoding strategies.β
βWe further release VEFX-Bench, a benchmark of 300 curated video-prompt pairs for standardized comparison of editing systems.β
βwe propose StructMem, a structure-enriched hierarchical memory framework that preserves event-level bindings and induces cross-event connections. By temporally anchoring dual perspectives and performiβ¦β
βThe other research work that I want to highlight is a work from Stanford called the Stanford Smallville where they instantiate 25 agents in like little world and have them kind of interact with withβ¦β