Open-weight models from China and the West are rapidly closing the performance gap with proprietary systems, democratizing access and fueling on-premise deployments.
The pace of open-source releases, with models like Minimax 3 Pro at 2.7 trillion parameters and GLM 5.3, marks a turning point. As enterprise trust in closed vendors wanes — forced to “distill” client knowledge to justify trillion-dollar valuations —...
Axios reports that the Chinese open-source model Kimi K3 matches Anthropic’s Claude Opus, erasing the US lead. A turning point for on-premise deployment and data sovereignty.
Chinese startup Moonshot AI has unveiled Kimi K3, a 2.8-trillion-parameter LLM with open weights. The model aims to compete with American labs and comes amid reports of a $30 billion valuation. But who can really run it self-hosted? AI-RADAR analysis...
The Chinese Moonshot AI model climbs the independent ranking and overtakes Anthropic. Less mainstream noise, more substance for those eyeing high-performance, cost-efficient self-hosted LLMs.
Thinking Machines Lab, founded by Mira Murati, releases Inkling: an open-weight LLM that doesn’t aim for benchmark dominance. A political choice that puts customization, control, and data sovereignty back at the center.
Thinking Machines has released Inkling, its first open-weight model. This move aligns with the trend of permissively licensed LLMs, designed for companies that want to run inference on their own infrastructure. We analyze what it means for data sover...
