Alibaba's Qwen 3.5: Open Weights With Caveats
Qwen 3.5 offers a 397B MoE flagship and smaller local models under Apache 2.0, but Alibaba's benchmarks need independent testing.
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Qwen 3.5 offers a 397B MoE flagship and smaller local models under Apache 2.0, but Alibaba's benchmarks need independent testing.
A 3.35B parameter multilingual model outperforms larger competitors on underserved languages - and runs locally on consumer hardware. Privacy-first AI for the rest of the world.
Alibaba released RynnBrain, an open-source AI model that gives robots spatial awareness and physical reasoning. It beats Google and Nvidia on 16 benchmarks while running on just 3 billion active parameters.
OpenScholar matches human expert citation accuracy while GPT-4o fabricates sources 78-90% of the time. The code, models, and 45 million paper corpus are all free to use.
Tiiny AI says its 300-gram Pocket Lab runs 120B models locally. The design is plausible, but performance and privacy claims remain unverified.