A developer who built a desktop with 96GB of memory for local AI models found that speed matters more than raw size, abandoning large models that take 30 minutes to check code. After five months of te…
Shanghai AI Lab has developed Agents-A1, a 35-billion-parameter model that matches trillion-parameter models on multi-step agent tasks. Instead of scaling parameter count, the researchers scaled the t…
Shanghai AI Laboratory's Agents-A1, a 35-billion-parameter Mixture-of-Experts model, matches or outperforms trillion-parameter rivals by training on longer task sequences instead of increasing paramet…
Hugging Face's top AI papers for June 30, 2026, highlight a shift from models that merely answer well to systems that can act, evaluate, stop appropriately, and operate in the real world. Key papers c…