According to Fei-Fei Li on Twitter, a groundbreaking large-scale demonstration dataset has been released, featuring 50 distinct tasks and 10,000 demonstrations totaling approximately 1,200 hours of data. The dataset is segmented by over 30 subtasks and skills, includes spatial relation annotations, and provides multi-granularity language annotations. This comprehensive dataset is designed to accelerate the development of AI systems for complex real-world applications, enabling researchers and businesses to train more robust and adaptable AI models (Source: Fei-Fei Li, Twitter, September 2, 2025).

According to Yann LeCun (@ylecun), SandboxAQ has released a new dataset designed to accelerate advancements in AI research focused on quantum computing and cybersecurity fields (source: @ylecun, Twitter, June 22, 2025). The dataset provides real-world, high-quality data that can be leveraged by AI developers and researchers to train more robust machine learning models for applications such as quantum algorithm simulations and threat detection. This launch opens significant opportunities for businesses in sectors requiring advanced AI-driven security and quantum technology solutions, as access to specialized datasets is a critical enabler of innovation and competitive advantage in the evolving AI landscape (source: SandboxAQ official dataset page, June 2025).