Latest open artifacts (#23): Laguna S2.1, Inkling, & Kimi K3 show the utility of open models on the Pareto frontier

Interconnects
Read the full article
Despite predictions of consolidation in AI model training due to rising costs, more companies are independently developing and openly releasing strong models, investing heavily in the process. Thinking Machines leads with its open-weight models and a successful finetuning service, while Chinese labs like Xiaomi continue to gain influence. The AI landscape is shifting towards widespread adoption and open models, with new licensing models and competitive offerings emerging.

More in Machine Learning

Machine Learning5 min read

PyTorch Conference 2026: Google and Meta Open-Source TorchTPU for Native PyTorch on TPUs

InfoQ (AI, ML & Data)
Machine Learning5 min read

Scientists overcome a hidden obstacle to more powerful quantum computers

Science Daily
Machine Learning32 min read

Development of an automated method for audiometric data extraction and analysis using voting optical character recognition

Nature