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If you’ve had a penetration test performed for your business, you likely know that not all pentesting vendors are created equal. It can be difficult to find the best vendor for your specific business type, delivery speed needs, and one whose strengths fit your environment. This is why I’ve compiled this list of the top penetration testing vendors and what each of their strengths are, who they’re the best fit for, and how fast they can deliver your […]

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OpenClaw is an open-source AI agent with 320k+ stars on GitHub. If you haven’t seen it: it connects to your actual chat apps (Telegram, WhatsApp, Discord, Signal) and does real things on your behalf. Email, calendar, shell commands, browser automation, cron jobs, memory that persists between conversations. It runs around the clock. It’s not a chatbot you ask questions. It’s closer to a coworker who never logs off and never forgets what you told it last Tuesday. But […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Why Your “Profitable” Backtest Fails the Moment You Go Live By @grigorychikishev [ 6 Min read ] Latency, queue position, market impact, and adverse selection all distort the theoretical edge a model appears to have. Read More. Enabling BDX On-Ramp and Off-Ramp to Onboard […]

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Autonomous agents are increasingly deployed in both offensive and defensive cyber operations, creating high-speed, closed-loop interactions in critical infrastructure environments. Advanced Persistent Threat (APT) actors exploit "Living off the Land" techniques and targeted telemetry perturbations to induce ambiguity in monitoring systems, causing automated defenses to overreact or misclassify benign behavior as malicious activity. Existing monolithic and multi-agent defense pipelines largely operate on correlation-based signals, lack structural constraints on response actions, and are vulnerable to reasoning drift under ambiguous […]

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Task-free online continual learning has recently emerged as a realistic paradigm for addressing continual learning in dynamic, real-world environments, where data arrive in a non-stationary stream without clear task boundaries and can only be observed once. To consider such challenging scenarios, many recent approaches have employed prompt selection, an adaptive strategy that selects prompts from a pool based on input signals. However, we observe that such selection strategies often fail to select appropriate prompts, yielding suboptimal results despite […]

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Quantum machine learning (QML) stands at the intersection of quantum computing and artificial intelligence, offering the potential to solve problems that remain intractable for classical methods. However, the current landscape of QML software frameworks suffers from severe fragmentation: models developed in TensorFlow Quantum cannot execute on PennyLane backends, circuits authored in Qiskit Machine Learning cannot be deployed to Amazon Braket hardware, and researchers who invest in one ecosystem face prohibitive switching costs when migrating to another. This vendor […]

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How Tokenization Is Turning Gold Into a Functional Asset Amid a Fragmenting Financial System “Gold is money. Everything else is credit.” J.P. Morgan said that in testimony before Congress in 1912. For most of the century that followed, the statement felt like a relic. Today it reads less like history and more like a description of how the system is quietly reconfiguring itself. Over the past three years, central banks have accumulated gold at the fastest pace in […]

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How Philip K. Dick predicted the moral logic of AI training data and labor theft 50 years before the dataset existed Part 4 of a six-part series using science fiction as a lens for understanding AI, work, and power in 2026 and beyond. The basic tool for the manipulation of reality is the manipulation of words. If you can control the meaning of words, you can control the people who must use them. Philip K. Dick, How to […]

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This tutorial shows you how to build a complete voice agent that can have natural conversations with users. You’ll create an application that listens to speech, processes it with AI, and responds back with voice—handling the full conversation loop in real-time. You’ll use AssemblyAI’s streaming speech-to-text API for real-time transcription, OpenAI’s GPT-4 for intelligent response generation, and Python’s text-to-speech libraries for voice output. The implementation uses WebSocket connections to handle streaming audio and asynchronous processing to manage conversation […]

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