Google and Apple's app stores are actively promoting harmful deepfake apps that can digitally undress women, according to new research from the Tech Transparency Project. The platforms don't just host these tools—they encourage users to find them through their recommendation algorithms.
Advanced reproductive technology is making posthumous conception increasingly common as frozen eggs and sperm from deceased parents create new life. The legal, ethical, and practical frameworks for these scenarios remain largely unresolved.
LayerZero attributes the massive KelpDAO hack to North Korea's Lazarus Group, triggering a $13 billion DeFi wipeout across two days. The incident highlights ongoing vulnerabilities in decentralized finance protocols despite security improvements.
Anthropic's transparency around system prompts reveals significant changes in how Claude Opus 4.7 approaches tasks compared to its predecessor. The evolution shows how AI companies are continuously refining model behavior through prompt engineering.
GitHub co-founder Scott Chacon discusses why Git's interface hasn't evolved since 2005 and how GitButler is redesigning version control for both humans and AI agents. The conversation reveals how developer tools must adapt as AI becomes a primary user.
Industry leaders explore the massive infrastructure challenge of powering AI data centers, focusing on portable micro nuclear reactors and solid state power electronics. The discussion centers on why power delivery, not generation, is the real bottleneck.
Ethan Mollick pushes back against the notion that "problem solving" and "judgment" are inherently human-only skills that AI can never master. His skepticism reflects growing confidence in AI capabilities as models like Claude Opus 4.7 demonstrate increasingly sophisticated reasoning abilities.
The account highlights a breakthrough in AI-powered content consumption: converting YouTube podcasts into "LLM artifacts" that distill knowledge into structured, searchable formats. This represents a fundamental shift in how we might interact with long-form content in the future.
Global smartphone shipments are projected to fall 13% year-over-year in 2026, marking a historic decline of 160 million units. This downturn signals market saturation and potentially longer replacement cycles as consumers wait for truly transformative features—possibly AI-driven capabilities.