Author: Carter

Moonshot AI has launched Kimi Code CLI, an open-source coding assistant that operates directly from the terminal. This tool can read and modify code, execute shell commands, search through files, and retrieve web content. It uses the results of each action to decide what to do next. The project is released under the MIT license and is available on GitHub. Kimi Code CLI replaces the earlier kimi-cli. Built in TypeScript and available through npm, it works seamlessly with Moonshot AI’s Kimi models right away. It can also be set up to work with other compatible AI providers. What is Kimi…

This guide walks you through using locally hosted language models via Ollama to handle text classification tasks—completely free, with no API costs involved. Here’s what we’ll explore: Setting up Ollama and downloading open-source models such as Llama 3, Mistral, and Gemma to run directly on your own machine. Configuring the Scikit-LLM library so it sends requests to your local Ollama endpoint rather than a paid cloud-based API. Building a zero-shot text classifier powered by a local large language model, using Scikit-LLM within a scikit-learn-style workflow you’re already familiar with. Using Scikit-LLM with Open-Source LLMs Introduction In this guide, you’ll discover…

Bitcoin privacy has evolved significantly since the cryptocurrency’s early days. Initially promoted as anonymous, Bitcoin is more accurately described as pseudonymous. While it doesn’t require any personal information to operate, companies built around it frequently link user public keys — essentially Bitcoin accounts — to personal details. This is done to comply with traditional financial regulations and, in some cases, to simplify the user experience. Because of this, users may inadvertently share or reveal personal data with these companies, such as their home IP address. This IP address can be traced back to their internet service provider and, ultimately, their…

SecurityWeek’s weekly cybersecurity news digest provides a quick rundown of significant events that might not get their own dedicated articles but are still important for understanding the wider threat environment. This handpicked collection spotlights major stories covering newly revealed vulnerabilities, novel hacking techniques, changes in regulations, industry analyses, and other key happenings, helping you stay informed about the constantly shifting world of cybersecurity. Here are the top stories from this week: Hackers manipulate AI chatbot searches to steal computing resources Microsoft has revealed that cybercriminals are using search engine optimization (SEO) and AI chatbot suggestions to fool people into downloading…

On Thursday, the House Armed Services Committee passed a sweeping right-to-repair amendment despite opposition from the committee chair and several Republican members. This move sets the stage for a significant clash with defense contractors over the Pentagon’s access to technical data and software. Introduced by Rep. Maggie Goodlander (D-N.H.) and Rep. Pat Harrigan (R-N.C.), the amendment would make “government-purpose rights” the standard for all technical data, software, and documentation provided under future Defense Department contracts. Contractors would only be allowed to claim more restrictive intellectual property protections if they can justify the need. The amendment was approved by voice vote…

Nina Raemont/ZDNETFollow ZDNET: Add us as a preferred source on Google. ZDNET’s key takeawaysApple’s developer conference begins Monday. Apple is falling behind in the AI race. Its collaboration with Google could boost its health offerings. I’ve been using Google’s screenless Fitbit Air for several weeks now, and while many compare it to its premium rival, the Whoop, trying out Google’s health tracker actually made me think more about its biggest competitor, Apple. While I’d welcome Apple releasing a screenless health tracker of its own, what I’d really prefer is a major improvement to its health suite — and that begins…

At the Dawn cafe, individuals with disabilities control robots from a distance, demonstrating how humans and robots can work together across various industries. Source: OryLab In Japan, robot cafes operated remotely by people with disabilities highlight an often-overlooked aspect of automation: Robots can open doors to employment rather than shut them. This same idea is now taking shape in manufacturing. This perspective challenges the widespread belief that robots will take over human jobs. According to the International Federation of Robotics (IFR), 542,000 robots were installed in 2024—more than twice the number from a decade earlier. Robots are increasingly seen as…

In this article, you will learn how sentence embeddings work and how to build a fully client-side semantic search engine using Transformers.js, with no server, no API key, and no backend infrastructure required. Topics we will cover include: How sentence embeddings and cosine similarity form the foundation of semantic search. How to generate and cache embeddings using the Transformers.js feature-extraction pipeline, including batching and Web Worker offloading. How to build a complete, reusable SemanticSearch class and persist its index across page loads. Building Semantic Search with Transformers.js and Sentence Embeddings Introduction You’ve probably shipped this bug before, where a user…

# Introduction Time series data is everywhere — energy usage tracked by the hour, financial transactions captured in thousandths of a second, patient vital signs monitored during hospital visits, inventory counts refreshed daily, and much more. Being able to analyze, model, and forecast this type of data ranks among the most sought-after capabilities in today’s job market. What sets time series apart from general data science work is the need for a distinct mindset at each phase of the process. Concepts like temporal ordering, autocorrelation, seasonality, and non-stationarity are structural characteristics that simply don’t come into play with regular tabular…

In brief Anthropic has reportedly embedded roughly half a dozen engineers at the NSA to deploy its Mythos AI model for offensive cyber operations—potentially including attacks on networks in China and Iran. Anthropic also warned that AI is approaching recursive self-improvement and called for a coordinated global pause mechanism. Both landed as Anthropic files for an IPO that could value it above $1 trillion. Anthropic has placed about six engineers inside the National Security Agency to help deploy Mythos—its most capable AI model—for offensive cyber operations, the Financial Times reported Thursday.The engineers are forward-deployed staff, customizing the model for specific…