SecurityScorecard's STRIKE team found 40,214 OpenClaw AI agent instances exposed to the public internet with no authentication. Over 12,000 are vulnerable to Remote Code Execution, and attackers who compromise them inherit full system access including SSH keys, browser sessions, and filesystem control.
Clicking LinkedIn's identity verification button routes you to a third-party company called Persona Identities, which collects your passport, biometric data, behavioral patterns—and uses them to train AI models, citing 'legitimate interest' rather than consent.
NVIDIA CEO Jensen Huang announced on February 19 that GTC 2026 (March 16–19, San Jose) will feature a surprise chip reveal, fueling speculation about new hardware beyond the Rubin platform.
WordPress.com launched a built-in AI assistant on February 17, enabling Business and Commerce plan users to edit text, generate images via Google's Nano Banana models, and modify layouts through natural language commands.
Apple released the first iOS 26.4 developer beta on February 17 without the expected Google Gemini-powered Siri improvements, citing response latency and query processing issues during internal testing.
AI researcher Andrej Karpathy argues that LLMs fundamentally change software constraints, excelling at code translation. He predicts large fractions of all software ever written will be rewritten many times over as AI reshapes the programming landscape.
Researchers warn that AI-generated faces have become so realistic that humans can no longer reliably distinguish them from real photographs, raising serious concerns about deepfakes, disinformation, and digital trust.
Startup Taalas is taking a radical approach to AI inference: etching LLM model weights and architecture directly into a silicon chip. Their Llama 3.1 8B demo achieves 16,000 tokens per second — but the approach bets that model architectures won't change.
OpenAI CEO Sam Altman pushed back on AI energy criticism by comparing it to the energy cost of human development — 20 years of life and all the food consumed before becoming capable. The comment sparked wide debate on Reddit.
DeepMind CEO Demis Hassabis proposed a concrete test for true AGI: train an AI with a 1911 knowledge cutoff, then see if it can independently derive general relativity — as Einstein did in 1915.
zclaw is an open-source personal AI assistant that fits in under 888 KB and runs on an ESP32 microcontroller. Part of the emerging Claw ecosystem, it demonstrates how far edge AI has come.
Boris Tane, engineering lead at Cloudflare, shares a research-plan-implement workflow for Claude Code where the AI never writes a single line of code until a written plan has been approved.