At the end of 2022 I wrapped up my contract work with Help Scout and took the plunge to work on my indie software businesses full time. I’m now two years into that adventure, and wanted to share a periodic update about how things are going. Preceden on the Back Burner I made 32 commits to Preceden, my timeline maker software, the entire year. Those commits were all small tweaks like switching the AI timeline generator from gpt-3.5-turbo […]
arXiv:2501.00755v3 Announce Type: replace Abstract: Causal inference in observational studies with high-dimensional covariates presents significant challenges. We introduce CausalBGM, an AI-powered Bayesian generative modeling approach that captures the causal relationship among covariates, treatment, and outcome. The core innovation is to estimate the individual treatment effect (ITE) by learning the individual-specific distribution of a low-dimensional latent feature set (e.g., latent confounders) that drives changes in both treatment and outcome. This individualized posterior representation yields estimates of the individual treatment […]
Ok so today my professor decided to tell us a Halloween joke, and I thought it was the funniest thing ever: “What is the circumference of a jack-o-lantern divided by its diameter??” Pumpkin pi !!!!!!!!!!!! lol, i thought it was funny!!!!!!!!!!!! (its ok if you didn’t) 🙂 happy halloween lol i didn’t really dress up like anything because I barely even have time to fully get ready in the morning, but if “a student who is heading over […]
Most of the exoplanets we’ve discovered have been in relatively tight orbits around their host stars, allowing us to track them as they repeatedly loop around them. But we’ve also discovered a handful of planets through a phenomenon that’s called microlensing. This occurs when a planet passes between the line of sight between Earth and another star, creating a gravitational lens that distorts the star, causing it to briefly brighten. The key thing about microlensing compared to other […]
Your QA process works beautifully — until it doesn’t. You’ve mastered continuous integration, automated test suites, and BDD frameworks. Your test coverage is stellar. Your CI/CD pipeline is a work of art. But there’s a problem brewing on the horizon, and it’s about to break every assumption your testing strategy is built on. Welcome to quantum computing. And no, your current test framework won’t work here. The Three Lies Your Tests Believe Traditional QA is built on three fundamental assumptions. Let’s call them what […]
GPT-5.2 is the latest model family in the GPT-5 series. The comprehensive safety mitigation approach for these models is largely the same as that described in the GPT-5 System Card and GPT-5.1 System Card. Like OpenAI’s other models, the GPT-5.2 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.
arXiv:2601.02385v1 Announce Type: new Abstract: As 5G networks rapidly expand and 6G technologies emerge, characterized by dense deployments, millimeter-wave communications, and dynamic beamforming, the need for scalable simulation tools becomes increasingly critical. These tools must support efficient evaluation of key performance metrics such as coverage and radio-frequency electromagnetic field (RF-EMF) exposure, inform network design decisions, and ensure compliance with safety regulations. Moreover, base station (BS) placement is a crucial task in the network design, where satisfying coverage requirements […]
After a years-long battle, the European Commission’s “Chat Control” plan, which would mandate mass scanning and other encryption-breaking measures, at last codifies agreement on a position within the Council of the EU, representing EU States. The good news is that the most controversial part, the forced requirement to scan encrypted messages, is out. The bad news is there’s more to it than that. Chat Control has gone through several iterations since it was first introduced, with the EU […]
Epoch in Machine Learning: When a student begins their journey into Machine Learning or Deep Learning, one of the most frequently used terms they come across during tutorials, courses, and practical projects is epoch in machine learning, and although the word sounds advanced, the idea behind it is actually very simple and logical. Many learners often pause and ask: “What exactly happens in one epoch?”“Why do people talk about epochs again and again during training?”“Is epoch the same […]
Machine learning models are mainly developed offline but must be deployed in a production environment to process real-time data and handle the problem they were designed to solve. In this blog post, we will explore the fundamentals of deploying an ML model, discuss the challenges you may encounter, and provide steps to streamline the process for greater efficiency. What is the machine learning model deployment? Experts estimate that up to 90 percent of ML models never reach the […]