OpenAI CEO Sam Altman admits he 'miscalibrated' public distrust over AI-government partnerships, defending his company's Pentagon deal while arguing democratic institutions must oversee AI and calling for government dominance in national security AI decisions.
MIT's SEED-SET framework is revolutionizing AI safety by automatically detecting ethical blind spots in critical infrastructure systems before deployment, uncovering alarming biases like AI prioritizing wealthier neighborhoods during peak power demand.
OpenAI is gearing up to release a new AI model code-named 'Spud' while simultaneously pushing wealth redistribution policies, restructuring internally, and planning a 2026 IPO, as CEO Sam Altman works to reshape the social contract around artificial intelligence.
OpenAI and Anthropic are racing to release next-gen AI models — 'Spud' and 'Claude Mythos' — with Anthropic already briefing government officials on unprecedented cybersecurity risks, while both systems leverage recursive self-improvement, raising urgent alarms about AI safety and unpredictable autonomous behavior.
A Northwestern University study reveals over 60% of federal judges now use AI tools in their judicial work, yet nearly half report receiving no AI training and policies governing its use remain dangerously inconsistent across courts.
All 11 co-founders of Elon Musk's xAI have now departed the company, raising serious questions about its future as SpaceX absorbs the $250 billion acquisition and Musk admits its products must be rebuilt from scratch.
A new Quinnipiac University poll reveals American trust in AI is cratering, with 55% believing it will do more harm than good — an 11% spike from last year — as over 70% fear job losses and 80% refuse to work under an AI manager.
Anthropic's Claude is experiencing explosive growth in 2025, with paid subscriptions more than doubling thanks to viral Super Bowl ads, a high-profile Pentagon feud, and new tools like Claude Code — but ChatGPT still dominates as OpenAI continues outpacing rivals in the AI subscription race.
Reddit and Wikipedia are cracking down on AI-generated content through bot removals and strict new policies, even as both platforms simultaneously sell their human-curated data to major AI companies like Google and Meta, creating a paradox that experts warn undermines their own efforts.
Meta's Oversight Board warns that Community Notes cannot replace professional fact-checkers, citing severe human rights risks in repressive regimes and conflict zones, structural flaws favoring dominant groups, and a stark efficiency gap — just 900 notes published in six months versus 35 million fact-checker labels in the EU.