Major developments in AI litigation, medical breakthroughs, cybersecurity threats, and space exploration dominate today's science and technology news.

Elon Musk lost his landmark lawsuit against OpenAI and Sam Altman, with a nine-member jury panel taking only two hours to return a verdict in favor of OpenAI, raising questions about trust and corporate governance in AI development.

NYC Health and Hospitals revealed a significant data breach affecting at least 1.8 million people, with hackers stealing medical records and fingerprints, highlighting critical cybersecurity vulnerabilities in healthcare infrastructure.

CAR-T cell immunotherapy, already proven effective for certain cancers, shows early promise in managing HIV long-term, potentially transforming treatment approaches for the disease through supercharged immune cells.

The US space industry awaits the Starship launch as a critical milestone, with Artemis II inspiring unprecedented interest—Space Camp registrations doubled following the mission, signaling renewed public enthusiasm for space exploration.

Grafana Labs, an open-source tool maker, refused to pay ransoms after hackers stole its code, representing a growing corporate stance against cybercriminal extortion while maintaining operational security.

Kin Health raised $9 million to develop an AI notetaker for patients, advancing healthcare documentation automation and potentially improving clinical workflow efficiency and patient care quality.

Pakistan achieved 96% solar adoption through self-financed consumer investments rather than government or banking support, demonstrating grassroots renewable energy adoption independent of institutional financing.

Apple's Siri revamp will include auto-deleting chat functionality, addressing privacy concerns as the company enhances its AI assistant with improved data protection features.

South Korea's LetinAR is developing advanced optics technology for AI-powered glasses, positioning the company at the forefront of spatial computing hardware innovation.

The US is deploying AI systems to detect insider trading in prediction markets, representing a regulatory shift toward algorithmic surveillance for financial crime prevention.