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OpenAI has introduced a policy blueprint aimed at strengthening U.S. child safety protections in the age of AI. The framework focuses on laws, reporting standards, and built-in safeguards.
OpenAI has acquired tech media company TBPN to strengthen its communication strategy around AI. The deal aims to scale industry dialogue while preserving TBPN’s editorial independence.
A major U.S. hospital CEO said AI could replace radiologists in some cases, highlighting growing adoption of AI in medical imaging.
Salesforce is expanding Slackbot into an AI-powered enterprise teammate, integrating workflows, apps, and data into a single conversational interface. The update introduces new capabilities aimed at improving productivity and coordination across teams.
Marvell Technology shares jumped after Nvidia announced a $2 billion investment, boosting confidence in its role in AI infrastructure.
Nvidia has invested $2 billion in Marvell as part of a partnership to expand AI infrastructure, including custom chips, networking, and silicon photonics.
Bitdeer Technologies is building Norway’s largest AI data center, signaling a deeper shift from crypto mining to AI infrastructure.
SpaceX is preparing a record-breaking IPO that could raise $75 billion, combining its space business with AI ambitions through xAI integration.
A data leak at Anthropic exposed details of its upcoming Claude Mythos model, described as a major leap in AI capabilities, along with internal documents.
Solana targets AI agents as primary users, positioning its network for machine-driven payments and a shift toward agent-based internet economies.
AI-driven bots now generate more internet traffic than humans, according to a new report, highlighting the growing impact of automated systems online.
Bitcoin mining firms are shifting toward AI and high-performance computing as falling prices and rising costs pressure profitability across the sector.
Google has introduced TurboQuant, a new compression algorithm that reduces memory usage in AI systems while maintaining accuracy, improving performance in large models and search.
President Donald Trump has appointed top tech executives, including leaders from Meta, Nvidia, and Oracle, to a council shaping U.S. AI policy and strategy.
New research shows that telling AI models they are “experts” can reduce accuracy in tasks like coding and math, while improving safety and alignment outcomes.