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CNN filed a lawsuit against Perplexity, accusing the AI search startup of unlawfully using copyrighted news content to power its products.
Cursor has released Composer 2.5, an upgraded AI coding model built on Moonshot’s Kimi K2.5 checkpoint. The company says the model improves long-running coding workflows, instruction following, and reinforcement learning techniques for software engineering tasks.
Nvidia has partnered with AI startup Ineffable Intelligence to develop large-scale reinforcement learning systems aimed at superintelligence research. The company was founded in late 2025 by former Google DeepMind researcher David Silver.
Former Oracle employees say they were asked to help train internal AI systems before being laid off, as the company shifts resources toward data centers and AI infrastructure.
AI startup Recursive Superintelligence has raised $500 million from Nvidia and GV to pursue self-improving AI systems, despite having no public product.
LinkedIn is testing a new platform that lets users earn up to $150 per hour training AI models. The move taps into fast-growing demand for human feedback in AI.
DoorDash launches Tasks platform for real-world data collection, helping businesses and AI systems while expanding earning options for Dashers.
The UK government is considering mandatory labels for AI-generated content as part of broader efforts to address disinformation and copyright challenges.
BMG sues Anthropic over alleged use of copyrighted lyrics in AI training, adding to growing legal pressure on generative AI companies.
Elon Musk’s xAI is recruiting investment bankers, traders, and crypto experts to train its Grok chatbot on financial markets as it competes for enterprise customers.
Encyclopaedia Britannica and Merriam-Webster have sued OpenAI, alleging the company copied nearly 100,000 articles and dictionary entries to train ChatGPT without permission.
Meta introduced four new in-house MTIA chips designed for AI training and inference as the company accelerates data center expansion. The chips aim to improve performance and reduce reliance on external hardware suppliers.
Natural Language Processing allows computers to understand, analyze, and generate human language. This guide explains how NLP works and where it is used in modern technology.
Cloud computing allows individuals and organizations to store data and run applications on remote servers instead of local computers. This guide explains how cloud computing works and why it is widely used.
Machine learning allows computers to learn patterns from data and make predictions without explicit programming. This guide explains how machine learning works and where it is used.