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OpenAI has named labor leader Dolores Huerta and three others to a temporary advisory board that will help guide the artificial intelligence company’s philanthropy as it attempts to shift itself into a for-profit business.
Nvidia announced that new US controls on exports of its AI chips will cost the company $5.5 billion, leading to a drop in tech shares and raising concerns about the impact of export restrictions on the AI industry.
Ireland’s privacy regulator is investigating whether Elon Musk’s X platform used personal data to train its Grok AI chatbot, raising questions about data protection and AI training practices.
OpenAI has filed a countersuit against Elon Musk, escalating a legal battle over the company’s business direction and the future of ChatGPT and related AI technologies.
Microsoft announced it is slowing or pausing certain AI data center projects, including a $1 billion plan in Ohio, as it reassesses its infrastructure investments amid growing demand for AI services.
Microsoft’s AI division head, Mustafa Suleyman, aims to foster long-term relationships between users and AI chatbots, emphasizing trust and ongoing engagement as AI becomes more integrated into daily life.
Viral images generated by ChatGPT in the style of Studio Ghibli have sparked debate over copyright and the ethical use of AI in creative industries.
A judge has ruled that a copyright lawsuit filed by newspapers against OpenAI can move forward, raising important questions about the use of copyrighted material in AI training.
As our reliance on AI deepens, a subtle but significant challenge emerges: AI agency decay. Take the test to assess your own position on the spectrum and learn how to counteract it.
Education leaders are exploring how to blend traditional arts and humanities with new technologies like neural networks, reshaping the future of learning in the age of AI.
Human-machine interaction is now a reality, despite technological, security, and ethical challenges. This development could define the Fifth Industrial Revolution.
Context-capable AI systems require new, efficient microprocessors. The market is evolving as companies like Micron develop memory chips tailored for AI workloads.
Quantum-inspired methods are entering the AI arena, with companies like Dynex developing alternatives to mainstream large language models. The future of AI may be shaped by quantum computing advances
