According to DeepLearning.AI, researchers from Meta, University of Texas-Austin, and UC-Berkeley have introduced the Multimodal Iterative LLM Solver (MILS), a breakthrough method that enables a text-only large language model to generate accurate captions for images, videos, and audio without additional training (source: DeepLearning.AI, Twitter, May 1, 2025). For traders focused on AI tokens and crypto projects leveraging multimodal AI, this development signals potential new use cases and partnerships that could drive trading volume and valuations in related sectors.

According to AI at Meta, Meta will be showcasing over 50 new research projects at the ICLR 2025 Expo in Singapore, providing potential trading insights into AI advancements that could influence cryptocurrency markets.