The threats started in spring.  In April 2024, a mysterious someone using the online handles “Waifu” and “Judische” began posting death threats on Telegram and Discord channels aimed at a cybersecurity researcher named Allison Nixon.  “Alison Nixon is gonna get necklaced with a tire filled with ...

Moonshot AI has officially brought the power of OpenClaw framework directly to the browser. The newly rebranded Kimi Claw is now native to kimi.com, providing developers and data scientists with a persistent, 24/7 AI agent environment. This update moves the project from a local setup to a ...

PyCaret is an open-source, low-code machine learning library that simplifies and standardizes the end-to-end machine learning workflow. Instead of acting as a single AutoML algorithm, PyCaret functions as an experiment framework that wraps many popular machine learning libraries under a consistent ...

Artificial intelligence tools are evolving rapidly, but the real productivity gains don’t come from using one The real power of these tools comes from using them together. Google NotebookLM specializes in structured knowledge synthesis, helping users analyze curated sources, generate summaries, and ...

The landscape of generative audio is shifting toward efficiency. A new open-source contender, Kani-TTS-2, has been released by the team at nineninesix.ai. This model marks a departure from heavy, compute-expensive TTS systems. Instead, it treats audio as a language, delivering high-fidelity speech ...

OpenClaw is a self-hosted personal AI assistant that runs on your own devices and communicates through the apps you already use—such as WhatsApp, Telegram, Slack, Discord, and more. It can answer questions, automate tasks, interact with your files and services, and even speak or listen on supported ...

Suppose you want to locate a particular piece of information in a library that is the size of a city. This is a predicament that businesses have to deal with on a daily basis regarding their electronic data. They contain giant quantities of logs, documents, and user actions. Locating what is ...

Recommendation systems are the invisible engines that can personalize our social media, OTTs and e-commerce. Whether you are scrolling through Netflix for a new show or browsing Amazon for a gadget, these algorithms are working behind the scenes to predict something for you. One of the most ...

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge units. We design the system so that reasoning and memory management are clearly separated, allowing a ...

In the world of Large Language Models (LLMs), speed is the only feature that matters once accuracy is solved. For a human, waiting 1 second for a search result is fine. For an AI agent performing 10 sequential searches to solve a complex task, a 1-second delay per search creates a 10-second lag. ...

In this tutorial, we build a complete, production-grade synthetic data pipeline using CTGAN and the SDV ecosystem. We start from raw mixed-type tabular data and progressively move toward constrained generation, conditional sampling, statistical validation, and downstream utility testing. Rather ...

57% of Gen Z want to be creators. Those are bleak numbers for the traditional choices of firefighter and astronaut, as we saw in the past….