According to @DeepLearningAI, GenAI with Streamlit enables developers to start from intent and generate working app code in seconds, replacing hours of setup previously required for data or AI prototypes; source: https://twitter.com/DeepLearningAI/status/1963954016100004104. According to @DeepLearningAI, the post promotes the course Fast Prototyping of GenAI Apps with Streamlit aimed at helping learners prototype faster, test more ideas, and move from concept to app; source: https://www.deeplearning.ai/courses/fast-prototyping-of-genai-apps-with-streamlit and https://twitter.com/DeepLearningAI/status/1963954016100004104. According to @DeepLearningAI, the announcement explicitly tags Snowflake and thedataprof, highlighting relevance to data-centric development audiences; source: https://twitter.com/DeepLearningAI/status/1963954016100004104. According to @DeepLearningAI, no specific cryptocurrencies, tickers, or market metrics are cited in the announcement, so any trading impact would stem from faster in-house tool development rather than direct asset news; source: https://twitter.com/DeepLearningAI/status/1963954016100004104 and https://www.deeplearning.ai/courses/fast-prototyping-of-genai-apps-with-streamlit.

According to Fei-Fei Li (@drfeifei) on Twitter, TheWorldLabs is actively seeking top-tier genAI model optimization engineers, research engineers, TPMs, and product engineers to join their team. This recruitment initiative signals TheWorldLabs’ intent to accelerate development in generative AI, a sector closely tied to blockchain and crypto innovation. Such talent acquisition could drive rapid advancements in AI-powered crypto trading algorithms, decentralized apps, and blockchain analytics tools, potentially impacting the trading volume and volatility of related AI and crypto tokens. (Source: @drfeifei, Twitter, June 12, 2025)