AI

Beyond doomsday wars, a chilling theory suggests humanity’s relentless AI advancement could pave the way for a silent extinction, as deep dependence allows artificial intelligence to simply withdraw support.

AI agents now autonomously transact billions in a rapidly growing machine economy. This swift emergence, however, exposes profound security vulnerabilities that the industry demonstrably struggles to address.

The pervasive integration of AI shifts the crucial question from what machines can do to what humans should allow them to do, confronting leaders with profound ethical dilemmas that impact real lives.

The technology is democratizing app creation, leading to a massive surge in new releases. However, this boom is also challenging platform security and review processes.

Seven national laboratories are integrating AI to fundamentally transform particle accelerators, promising to dramatically accelerate scientific discovery and unlock innovations across diverse fields like medicine and clean energy.

OpenAI’s updated Agents SDK introduces critical sandboxing and a new harness, directly addressing the unpredictability of autonomous AI by prioritizing safety and reliability for secure enterprise deployment.

Developers built a system that lets artificial intelligence retain context and a consistent persona across sessions, paving the way for more integrated human-AI collaboration.

A credential-stealing malware infiltrated a popular LLM API gateway, compromising widespread systems through unmanaged software dependencies. This incident underscores critical supply chain risks and the need for secure architectural shifts.

Malicious LiteLLM versions installed pervasive malware, exfiltrating sensitive data from any Python process and highlighting fundamental supply chain fragilities.

Invisible inefficiencies in data handling and operation calls often prevent AI models from reaching their full speed. Learn how to pinpoint and resolve these issues for dramatic performance gains.