Reading list compiled to help engineers understand open-source AI models and their implications.
News Hub
What actually shipped in agent engineering, pulled from the labs, arXiv and Hacker News.
See who we followAI impact on average people remains uncertain despite five years into rapid technological advancement.
New open models Motif-3, GLM-5.3, and Hy4-preview released; open model licensing frameworks evolving.
Nvidia encourages customers to build their own models rather than purchase from Anthropic or OpenAI.
Chinese AI labs maintain competitive performance with frontier models through methods beyond distillation techniques.
A post-training textbook documenting lessons from training open models is now available for shipping.
Interconnects introduces an Artifacts Hub and Adoption Dashboard for curating and measuring the open ecosystem.
Open models like Laguna S2.1, Inkling, and Kimi K3 demonstrate strong performance on the Pareto frontier.
Podcast discusses open models including Kimi K3, Qwen 3.8, distillation, and open-closed gaps.
Kimi K3 open-weights release has global implications for the AI ecosystem.
GLM-5.2 represents a capability threshold for open source AI agents.
Banning open source AI would be a mistake according to this op-ed.
Article discusses governance challenges presented by advanced AI systems.
Claude Fable 5 and new AI safety fables released exploring power dynamics in frontier AI systems.
Author departed Allen Institute for AI after working on Olmo models.
Article discusses future AI developments including Gemini Flash 3.5 and open-source trends.
Multiple open models released including Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, and GLM-5.1.
Interconnects critiques the term 'distillation attacks' for current model distillation practices.
Article analyzes factors determining the open versus closed model performance gap.
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