1+ min ago (225+ words) Meteorologists at the National Weather Service are tracking what could be the season's first snowstorm the season's first snowstorm in Massachusetts on Tuesday. There is a potential for "plowable accumulating snowfall" Tuesday evening for portions of southern New England, especially for the interior and high terrain of Massachusetts, the National Weather Service said. "Confidence in storm track and intensity remain low at this time range," the weather service said. Meteorologists are still uncertain about the amounts, but there are some estimates. There is about 50% to 70% chance for at least 3 inches of snowfall and about 30% to 45% chance for 6 or more inches. Probabilities are lower in the Interstate 95 corridor between Boston and Providence, with about 30% to 45% for at least 3 inches of snowfall, and about 15% to 25% for at least 6 inches of snowfall. Upward of 3 inches of snow is likely north and west of…...

9+ min ago (693+ words) David Awschalom is a professor of molecular engineering and physics at the University of Chicago and director of the Chicago Quantum Exchange, a massive effort involving dozens of universities, corporations and labs around the world to use advanced physics in designing smaller, faster, more secure technologies. Seeing that Chicago is the epicenter of a major effort in the future of technology, at the very moment our government is waging a glittery-eyed war on science, I checked in with the man coordinating it all. "This could really be new way for universities, national laboratories and companies to all work together at the birth of a new technology to move discoveries rapidly into society," he said. One way to conceive of what this is about is to consider the first sustained nuclear reaction " Dec. 2, 1942, also at the University of Chicago. If that…...

9+ min ago (128+ words) Colder with highs in the 20s and 30s. Cloudy with some light flurries and limited visibility for most of the day. Better snow chances tonight into tomorrow morning. SUNDAY: Colder with highs in the 20s and 30s. Cloudy with some light flurries and limited visibility for most of the day. Better snow chances tonight into tomorrow morning. MONDAY: Chance of lingering snow showers early Monday morning, but mostly by the southern I-25 corridor and Highway 50. Mostly sunny conditons follow. Temperatures will be warmer in the upper 30s and 40s. REST OF WEEK: Tuesday will be the warmest day of the week with temperatures close to 50. However on Wednesday, another incoming cold front is setting up for cooler midweek temperatures and increasing snow chances. Stay tuned....

13+ min ago (1693+ words) Published on November 30, 2025 10:14 PM GMTSuperintelligence doesn't make human decisions unnecessary, any more than the laws of physics make them unnecessary, these are two instances of exactly the same free will vs. determinism puzzle. When something knows or carries out your actions, as the physical world does (even if that is the only way in which your actions are ever carried out), that by itself doesn't take away your agency over those actions. Agency requires influence over actions, but it's not automatically lost as a result of something else gaining influence over them, or having foreknowledge of what they are going to be, or carrying them out on your behalf, perhaps without your knowledge; such circumstances are compatible with retaining your own influence over those actions. Path Dependence Humans are more agentic than the physical world, it's easy to tell if…...

14+ min ago (767+ words) When artificial intelligence systems lie with unwavering certainty, who's really to blame'the machine or the humans who taught it to never admit doubt? Ankit spent three weeks building his machine learning capstone project around a research paper that didn't exist. He was a third-year computer science student studying neural networks and transformer architectures. For his project on natural language processing, he asked an AI assistant for recent papers on attention mechanisms. He used all the available AI tools and finished the work in a few days. The tools gave him five paper summaries with examples, complete with authors and journal names. He built his entire review and paper around them. His professor found out during the first review ' none of the papers were real. None of the papers were real. The AI had fabricated everything'down to fake researcher names at…...

16+ min ago (321+ words) Can't keep up with the soaring popularity. Google has stealthily slashed access limits for its popular Gemini 3 Pro and Nano Banana Pro tools, adjusting free-tier users' daily prompts amid soaring demand, leaving many to navigate new restrictions without prior warning in a rapidly changing digital landscape. Since its debut, Gemini 3 Pro used to let you make five prompts a day, but now Google only promises "basic access," meaning the limits can change based on demand. Nano Banana Pro also cut the number of free image creations from three to two per day. Google didn't make a big announcement about these changes; they just showed up on the updated support page, first noticed by 9to5Google. More people are using Gemini 3 Pro than Google probably expected. The model offers better reasoning, more features, and clearer visuals thanks to Nano Banana Pro's improved rendering…...

17+ min ago (122+ words) This project implements a simple Notes WebApp using Google Cloud (GCP) serverless services: Firestore, Cloud Functions, and a static frontend hosted on Cloud Storage. 1. NoSQL database: Firestore in Native mode, collection notes. 2. Serverless backend: Cloud Functions (Python) exposing a mini REST API: 3. Frontend: Web page (HTML/CSS/JS) hosted as a static site in Cloud Storage. Create the file main.py Includes functionality: create, list, edit, delete notes + CORS. Create the file requirements.txt Get and store the URL: Get and store the service account used by the function: Grant Firestore permissions to that service account Create the file index.html Create the file styles.css Create the file app.js " Replace API_BASE_URL with your Cloud Function URL....

22+ min ago (1432+ words) TL;DR: Scanners that run automatically, findings that aggregate in one place, reports that don't make stakeholders' eyes glaze over. For small-to-medium engineering teams who need real security without hiring a dedicated AppSec team. Who is this guide for? Teams without a dedicated AppSec function, platform engineers, or DevOps teams who want a practical, tool-agnostic blueprint for continuous security in CI/CD. Security scanners are cheap. Security architecture that developers don't hate is expensive. Most teams end up with a mess: SAST runs somewhere in Jenkins, Snyk emails get ignored, and pentest reports live in Google Drive where findings go to die. Developers don't ignore security findings because they're lazy'they ignore them because findings arrive in 47 different places with zero context. This is the architecture I built and actually use. Not a vendor pitch. Not enterprise theater. Just the stack that…...

24+ min ago (1196+ words) NEW YORK" (ABC NEWS) " Major retail chains and tech companies are offering new or updated"artificial intelligence"tools in time for the holiday shopping season, hoping to give consumers an easier gift-buying experience and themselves an augmented share of online spending. Although AI-powered purchases are in early stages, the shopping assistants and agents rolled out by the likes of Walmart,"Amazon"and Google can do more than the"chatbots of holidays past. The latest versions were designed to provide personalized product recommendations, track prices and to place some orders through unscripted "conversations" with customers. Those features are on top of shopping updates from AI platforms like"OpenAI's ChatGPT"and Google Gemini. In one of the season's most talked-about launches, Google this month introduced"an AI agent"that can be instructed to call local stores to ask if a desired product…...

25+ min ago (798+ words) Unlocking Neural Network Secrets: Scale-Invariant Geometry for Smarter AI Are your deep learning models black boxes? Do you crave efficiency without sacrificing accuracy? Imagine a world where neural networks are not only powerful but also interpretable and easily optimized. The key might lie in a surprising discovery: the spontaneous emergence of geometric structure within networks during training. At the heart of this lies the concept of scale-invariant function representation. Think of it like fractals; the same fundamental patterns appear at different levels of magnification. In neural networks, this means the way the network processes information locally (small patches of the input) mirrors how it handles the entire input, creating a cohesive and organized computational landscape. This inherent geometric organization, appearing organically during the learning process, offers several key advantages for developers: Enhanced Interpretability: Understanding the underlying geometry reveals how the…...