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Cryptocurrencies are increasingly gaining traction in the digital realm, promising a decentralized future free from the grip of centralized authorities. This magnetic appeal has led to a surge in the integration of cryptocurrencies within various games and applications based on the robust security provided by blockchain technology. As the world embraces this digital revolution, everyday users are navigating a landscape filled with questions and concerns about the safety, privacy, and reliability of these innovative currencies. Some nations have […]

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Generative AI has emerged as a transformative force in cybersecurity, offering both opportunities for innovation and challenges in threat detection and mitigation. This systematic literature review and meta-analysis synthesizes existing research to evaluate the efficacy of generative AI in cybersecurity applications, focusing on detection performance, overall impact, and threat detection metrics. We conducted a comprehensive analysis of peer-reviewed studies, employing rigorous statistical methods to quantify effect sizes and their significance. The results reveal a substantial negative effect size […]

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Hey all, I’m building an RL agent to play an Asteroids-style arcade game that I made. I can get decent models working now, and I’ve definitely improved compared to the first RL version I ever built. The agent survives way longer than it did in the beginning, and by watching it play after training I can actually make some decisions about what seems to be helping or hurting. So it’s not totally random guessing anymore, but I still […]

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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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Downstream adaptation of a contrastively pretrained vision–language model can improve in-domain accuracy while degrading performance on unseen transfer tasks. This study examines how full fine-tuning and low-rank adaptation alter attention heatmaps under a controlled design that matches learning rate across adaptation methods. The completed matched-learning-rate matrix contains 80 runs using the OpenAI Contrastive Language–Image Pretraining model with a base 32-patch vision transformer image encoder, two datasets (EuroSAT and Oxford-IIIT Pets), four shared learning rates (1e-6, 5e-6, 1e-5, and […]

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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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