Latest in AI
Stability AI’s $76 Million Round Tests a New Entertainment AI Strategy
Stability AI’s $76 million funding round, backed by major music labels, EA and AMD Ventures, signals a new entertainment AI strategy while leaving copyright, creator consent and business-model questions unresolved.
Perplexity and Nvidia bet that private AI belongs on your desk
Perplexity and Nvidia are bringing local-first AI agents to specialized desktops, combining private on-device processing with optional cloud escalation for complex tasks and sensitive workflows.
Vaults Are Becoming the Operating System of the Agent Economy
Aspern’s vault concept offers a framework for the agent economy, combining assets, permissions, memory and auditability so autonomous software can transact while businesses retain control, accountability and limits.
A Safety Score Is Only as Honest as Its Judge
OpenAI’s retired Anti-Scheming and Memory evaluations reveal why AI safety scores can mislead, and what makes chain-of-thought monitorability evidence trustworthy for real-world deployment decisions.
The AI Assistant That Knows Everything About You
Instinct, a personal AI assistant, promises to manage email, bookings and daily tasks, but its broad data access, weak deletion controls and autonomous actions raise urgent questions about privacy, security and accountability.
Can Video Games Teach Robots How to Act in the Physical World?
General Intuition is reportedly seeking funding at a $6 billion valuation, betting that gameplay data can teach AI agents skills needed for real-world robotics and physical tasks.
Hugging Face’s Reported $13 Billion Sale Tests Open AI’s Independence
Hugging Face is reportedly weighing a sale valued at least $13 billion, raising questions about who might buy the AI platform and whether new ownership could preserve its open-source neutrality, security and developer trust.
OpenAI’s Private Safety Bet Tests the Limits of Zero Data Retention
OpenAI’s Private Safety Processing aims to deliver contextual abuse monitoring for Zero Data Retention customers, testing whether privacy-preserving safeguards can unlock sensitive enterprise AI workloads.
Public AI Safety Is Being Tested by the Question of How to Stop a Model
A new AI safety scorecard finds limited public evidence that leading labs can contain models resisting human control, raising questions about transparency, oversight and emergency shutdowns.