According to @AdiOltean on Twitter, nanoGPT has become the first large language model (LLM) to be trained and used for inference entirely in space, leveraging an Nvidia H100 GPU aboard the Starcloud-1 satellite (source: https://x.com/AdiOltean/status/1998769997431058927). The Starcloud team successfully trained nanoGPT, based on Andrej Karpathy's architecture, on the complete works of Shakespeare and demonstrated inference capabilities on both nanoGPT and a preloaded Gemma model. This milestone highlights the potential to shift high-performance AI workloads off Earth, utilizing space-based resources and abundant solar energy. The success sets the stage for new business opportunities in AI-powered satellite computing, distributed cloud infrastructure, and green AI innovation (source: @karpathy).

According to @timnitGebru, there are increasing concerns about AI companies' environmental impact, labor exploitation, and data privacy practices, specifically referencing leaders like Dario Amodei. These issues highlight the urgent need for transparent reporting and ethical standards in AI development to address resource consumption, fair compensation for data labelers, and responsible data use (source: @timnitGebru, June 5, 2025). The AI industry faces mounting pressure to adopt sustainable practices and improve working conditions, creating business opportunities for companies prioritizing green AI, ethical sourcing, and privacy-compliant data solutions.