A pioneering artificial intelligence model, trained on real-world physical interactions, learns to adapt and generalize through a feedback loop between its virtual embodiment and the environment, with open-source WALL models enabling further research and applications.
AI automating travel charges like rental car damage fees, hotel bills, and airline pricing raises accuracy concerns as systems make errors, lack oversight, and unfairly charge customers, prompting calls for documentation and disputing erroneous charges.
Major tech giants hemorrhage Gen Z talent as AI disrupts entry-level roles, stifling innovation and forcing young workers to pivot career paths, prioritizing AI skills and freelancing.
A Catholic priest cautions against AI companions, warning they risk isolating users and validating unhealthy perspectives, urging the Church to foster human connection to counter potential psychosis from artificial intimacy.
Apple launches AirPods Pro 3 with groundbreaking audio, fitness tracking, and real-time translation capabilities, setting a new standard for wireless earbuds.
Eli Lilly unveils TuneLab, an AI-driven drug discovery platform backed by a $1 billion research investment, offering biotech companies access to AI models built on Lilly's extensive drug data and joining Lilly Catalyze360's offerings for biotech partners.
Researchers reveal a concerning vulnerability where seemingly normal images can contain hidden malicious code exploiting AI agents on user devices, allowing attackers to hijack systems, leak personal data, and spread malware through manipulated pixels undetectable to humans.
AI pioneer Geoffrey Hinton warns of imminent mass job losses and skyrocketing corporate profits due to AI advancements, attributing the economic upheaval to capitalism rather than AI itself, as early signs of AI displacing entry-level jobs emerge.
Anthropic pays a record-breaking $1.5 billion settlement for using around 500,000 pirated books to train its AI systems, destroying all copies and prohibiting future use without permission.
Artificial intelligence draws significant funding but lags in corporate integration due to lingering uncertainty concerns, prompting calls to reward AI models for expressing uncertainty rather than penalizing them, potentially boosting business trust and adoption.