- NVIDIA GTC Spring 2024 Omniverse demo showcased a single ship model containing 7 million discrete parts, illustrating the extreme geometric complexity now possible with real-time simulation platforms.  
- NVIDIA formally announced the “Blackwell” GPU architecture, marketed as the foundation for a “new era of computing” with undisclosed performance and memory specs aimed at AI training and inference workloads.  
- Hugging Face released “The Stack v2,” a 67 TB corpus of source code intended for training large language models; after deduplication the dataset shrinks to ~32 TB.  
- Access to The Stack v2 is gated: bulk download requires a separate agreement with Software Heritage and INRIA, prompting debate over whether this extra restriction violates the original licenses of the aggregated code.  
- Participants argued that permissive licenses (MIT, Apache) are favored for inclusion in such datasets because copyleft licenses (GPL, CC-BY-SA) demand attribution and source-sharing that curators wish to avoid, creating an incentive to exclude copylefted works.  
- Discussion highlighted a legal paradox: unlicensed (default-copyright) code appears to be included under “fair use” or research exemptions, while explicitly copylefted code is excluded, raising questions about the consistency of copyright enforcement in large-scale data aggregation.