According to Meta AI's official announcement, Llama models have reached 1.2 billion downloads, up from 1 billion just last month, with the majority of downloads occurring via Hugging Face and dominated by Llama derivatives (source: Meta AI, Hugging Face). This surge in developer activity and adoption signals robust growth in AI infrastructure, which is influencing AI-linked crypto tokens and blockchain projects that integrate Llama-based solutions. Traders should monitor token projects and DeFi platforms leveraging Llama derivatives, as increased adoption and developer engagement often correlate with higher trading volumes and price action in related cryptocurrencies (source: Cointelegraph).

According to DeepLearning.AI (@DeepLearningAI), Hugging Face has acquired French robotics company Pollen Robotics and announced the upcoming sale of Reachy 2, a humanoid research robot powered by open-source software. Reachy 2 is fully programmable in Python and leverages Hugging Face’s open LeRobot AI library, enabling advanced real-world interaction and custom AI development. This strategic move strengthens Hugging Face’s position in the AI hardware sector and provides traders with fresh insight into the growing convergence of AI and robotics, a sector experiencing increased investor interest and market activity (source: DeepLearning.AI, April 26, 2025).

According to Andrew Ng, a new short course on 'Building Code Agents with Hugging Face smolagents' has been announced. This course, developed in collaboration with Hugging Face, is taught by Thom Wolf, the co-founder and CSO, and Aymeric Roucher, the project lead on agents. This initiative is expected to empower developers with advanced skills in creating code agents, enhancing automation and efficiency in trading algorithms. For traders and developers in the crypto space, mastering these agents can lead to more sophisticated trading strategies and better market analysis tools.

According to DeepLearning.AI, AMD is hosting its first ROCm™ User Meet Up, featuring industry leaders from AMD, Meta, and Hugging Face. The event will include tech talks, live demos, networking opportunities, and prizes, highlighting AMD's commitment to advancing AI development and fostering community engagement.

According to DeepLearning.AI, significant developments in AI include Replit's agentic app designed to facilitate app development, ASAP's innovative training techniques for agile robots, and Hugging Face's introduction of a smaller, open language model. These advancements could impact AI-related cryptocurrency projects by enhancing automation and efficiency, potentially driving investment and trading opportunities as these technologies integrate into blockchain ecosystems.