OlmoEarth v1.3 has been released, an advanced satellite embedding model offering globally precomputed annual embeddings (10m resolution, 64 and 128 dimensions), along with a browser-based tool, the OlmoEarth Embeddings Explorer, usable without login.
AI2 released Olmo-core 3, a major upgrade to its LLM development framework featuring a redesigned open MoE training system. It scales MoE training to trillion-parameter levels while maintaining computational efficiency; in a benchmark, the expert pool grew from 8 to 128, total parameter capacity rose from 4.6B to 47B, and training throughput dropped less than 5%.