Directed Acyclic Graphs (DAGs) are solid structures used to describe and infer the dependencies among variables in multivariate scenarios. Having a thorough comprehension of the accurate DAG-generating model is crucial for causal discovery and estimation. Our work suggests utilizing a non-conjugate prior for Gaussian DAG structure learning to enhance the posterior probability. We employ the idea of using the Bessel function to address the co... Read more ›
3. Answers to the Pyrrhonian Skeptical Challenge The AfD [Argument from Disagreement] presented above [Part I] is a formally valid chain of inferences starting from the phenomenon of permanent philosophical disagreement. Accordingly, if you reject the conclusion of the AfD,... Read More › Source Read more ›
Subtitle: A simple mental model for Retrieval-Augmented Generation without the jargon fog Read more ›
This article discusses the derivative of the softmax function, providing an introductory example suitable for readers with a basic understanding of single-variable calculus. It outlines the mathematical principles necessary for computing this derivative and presents a concise expression for the softmax function's Jacobian matrix, showcasing its application in probability distributions. Read more ›
Elon Musk has officially reached trillionaire status, sparking backlash from Bernie Sanders and Elizabeth Warren\. Patrick Bet-David and the panel break down first-principle thinking, SpaceX, Tesla, failure, and why some believe Musk earned every dollar by solving bigger problems\. ------ ▶️ WATCH FULL PODCAST: 🧑🧑🧒🧒 FREE LIVE WEBINAR: 🦁 THE VAULT 2026: AUG 31ST TO SEPT 1ST: 😆 CHECK OUT VENTING WITH VINNIE: 🦁 SPONSOR THE VAULT 2026: Ⓜ️ CONNECT ON MINNECT: Ⓜ️ PBD PODCAST CIRCLES: 👔 ... Read more ›
Independent publisher Vetro Editions releases Pixel Rugs, the first full monograph by Rhode Island-based artist Travess Smalley, printed in fluorescent Quadrifluox inks that glow under UV light, with essays by Casey Reas and Anika Meier situating the work within generative art history. Travess Smalley’s studio is, by his own description,… Read more ›
A new library of combinatorial optimization problems provides a standardized testing ground to rigorously compare quantum and classical algorithms, paving the way for demonstrating quantum utility. Read more ›
Your Obsidian vault is already a knowledge graph: plain Markdown plus links, the format every LLM reads. One plugin renders it as a 3D gala Read more ›
I will examine the concept of chirality (the difference between a right hand and a left hand, generalized) and its relevance to philosophy of mind. Philosophy of mind often deals with colors: color… Read more ›
It's your weekly curation of the essential news in the Open Media Network and Fediverse development communities with a focus on devastating big tech via Techno Anarchism. Read more ›
From the end of high school to after my sophomore year of college, I considered myself an effective altruist. I was on the board of my college EA club, ran an EA intro fellowship, and went to EA retreats. I was vegetarian, regularly donated to GiveWell, and generally tried to proselytize EA ideas. I was never fully convinced to pursue a career as an AI safety researcher or in animal welfare, but I found the ideas around agency, counterfactual impact, and a life structured around a single cohe... Read more ›
A practical mental model for the cost-based system that quietly breaks most Shopify integrations. Read more ›
Author(s): Yasser Saleem and Moritz CygorekWe present a fully atomistic approach to exciton-phonon coupling in semiconductor quantum dots that bridges microscopic electronic-structure calculations with non-Markovian open-quantum-system dynamics. On the example of an InAsP quantum dot embedded in an InP matrix, we compute single-particle stat…[Phys. Rev. B 113, 235139] Published Mon Jun 22, 2026 Read more ›
We investigate the convergence rates of variational posterior distributions for statistical inverse problems involving nonlinear partial differential equations (PDEs). Departing from exact Bayesian inference, variational inference transforms the inference problem into an optimization problem by introducing variational sets. Based on a modified ``prior mass and testing'' framework, we propose general conditions for three categories of inverse... Read more ›
We're building Onside Arena — an open AI football analytics platform for the FIFA World Cup 2026 and FPL. Live model record: 75% of MD1 winners called correctly. Here's the technical core. TL;DR Dixon-Coles bivariate Poisson on team goal expectations Bayesian-shrunk ratings learned from 12 past World Cups + 8 Premier League seasons (~32K matches) Live recalibration after every played match in the tournament Outputs per-match win/draw probabilities, scoreline distributions, and Monte Carlo sim... Read more ›
So, still thinking considering a small example and perspective for selt-attention e, nesse contexto, thinking in the child learning. That is research, basic,... Read more ›
Full transcript and code from a highly complex implementation Read more ›
Contribute to rcanand/obsidian-pencil development by creating an account on GitHub. Read more ›