
NASA and IBM’s Lunar AI Model Learns Across Instruments, Not Just Images
NASA and IBM’s open lunar model combines instruments and spatial scales. Its benchmarks show useful transfer, not proof of accessible Moon ice.
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NASA and IBM’s open lunar model combines instruments and spatial scales. Its benchmarks show useful transfer, not proof of accessible Moon ice.

Google's Gemini for Science push suggests a new AI frontier: models are no longer only writing and summarizing work, they are being positioned as force multipliers for scientific discovery.

Andrej Karpathy joining Anthropic highlights a shift from bigger runs alone toward AI-assisted pretraining research.

Google DeepMind's Project Genie expansion shows why interactive world models may become infrastructure for robotics, maps, and agent training.

Gemini for Science packages hypothesis generation, computational discovery, and paper triage into agentic tools for researchers.

OpenAI says a general-purpose reasoning model disproved a famous Erdős unit distance conjecture, changing the research automation debate.

Google DeepMind shared AlphaEvolve impact work, showing how a Gemini-powered coding agent can optimize algorithms across science and infrastructure.

Google DeepMind and Fenris Creations are using EVE Online as a controlled AI research environment for planning, memory, and complex behavior.

Ineffable Intelligence raised 1.1 billion dollars to pursue reinforcement-learning systems that can learn beyond human-generated data.

Rakuten releases its most powerful AI model to date, boasting 700B parameters and state-of-the-art Japanese language capabilities under an open-source license.