KawaiiGPT – New Black-Hat AI Tool Used by Hackers to Launch Cyberattacks CybersecurityNews The Dual-Use Dilemma of AI: Malicious LLMs Unit 42 How Malware Authors Are Incorporating LLMs to Evade Detection Dark Reading | Security KawaiiGPT: A Free WormGPT Clone Using DeepSeek, Gemini, and Kimi-K2 Models GBHackers News Weaponized AI Is Changing The Vulnerability Management Game. Now What? Forbes
Tech predictions for 2026 and beyond All Things Distributed
Tech predictions for 2026 and beyond – All Things Distributed Read More »
Samsung Launches One Shot Challenge, Encouraging Smartphone Users to Snap Less, Confident That the Power of Galaxy AI Can Perfect Any Picture samsung.com
Agent0: A Fully Autonomous AI Framework that Evolves High-Performing Agents without External Data through Multi-Step Co-Evolution MarkTechPost
Agents, robots, and us: Skill partnerships in the age of AI McKinsey & Company MIT study finds AI can already replace 11.7% of U.S. workforce CNBC AI can already replace nearly 12% of jobs in the US: Why the first impact is showing up in entry-level ro The Times of India AI-powered automation will change work, but people
Agents, robots, and us: Skill partnerships in the age of AI – McKinsey & Company Read More »
Threat from AI-generated deepfakes: If all can be faked, how do you know what’s real? The Times of India Viral scams and voice clones: The high-stakes battle to tame deepfakes livemint.com Malaysia, Myanmar hit by fraud spike as AI-driven incidents rise Nikkei Asia AI and Deepfake-Powered Fraud Skyrockets Amid Identity Fraud Stagnation Infosecurity Magazine How deepfakes and AI are
Born to Influence: How Multimodal AI Is Creating the Celebrities of Tomorrow AI has come a long way from narrow, domain-specific models that could only process a single type of input—be it image, text, or sound. Today, a new class of systems is pushing the boundaries by integrating multiple modalities of information. These multimodal AI
In the high-stakes world of pharmaceuticals, speed and precision can mean the difference between life and death. Traditional drug development is a meticulous process—often taking 10–15 years and billions of dollars to bring a single drug to market. But thanks to a new wave of artificial intelligence, especially generative models, the industry is undergoing a
