Theta Labs CEO on Rockets’ ClutchBot
The post Theta Labs CEO on Rockets’ ClutchBot appeared on BitcoinEthereumNews.com.
The Houston Rockets announced earlier this week “ClutchBot,” a generative AI-powered mascot as part of a partnership with Theta Labs. The collaboration marks the NBA’s first use of artificial intelligence to improve fan interaction. The project wants to change how fans follow the team through real-time updates, statistics, and ticketing information through the Rockets’ website and app. The AI platform is built on Theta Labs’ decentralized EdgeCloud infrastructure. It takes advantage of cutting-edge AI to provide personalized, always-on support for fan inquiries. It is trained specifically on Rockets and NBA data so it can provide accurate answers for basic questions like “when is the next game?” to historical performance stats and lineup details. Just like Jalen Green’s hot hands to tie the series against the Golden State Warriors, the Rockets aren’t just launching threes, they’re launching into the future. Powered by Theta’s Layer-1 blockchain and decentralized GPU network, ClutchBot delivers fast and secure interactions backed by more than 80 PetaFLOPS of compute power. With advanced NLP models, integrated APIs, and dynamic fine-tuning, ClutchBot sets a new standard for interactive sports entertainment. Below is our Q&A with Mitch Liu, CEO of Theta Labs. crypto.news: What natural language processing capabilities allow ClutchBot to understand nuanced fan questions like historical stats or player comparisons?Mitch Liu: ClutchBot leverages state-of-the-art NLP techniques, including agentic AI workflows and LLM fine-tuning on realtime and domain-specific data. This allows it to interpret the intent behind user queries, retrieve the relevant data, and generate coherent answers accurately and quickly.CN: What challenges did you encounter adding API data with the Rockets’ proprietary database for ClutchBot’s? What other kinds of challenges did you face?ML: Integrating API data from the Rockets’ proprietary data sources posed several challenges. For example, we had to build a robust data aggregation system to unify and reconcile…
Filed under: News - @ April 25, 2025 9:21 pm