Qwen and GLM Push ARC-AGI 3 Performance
💡A phone-sized Qwen model paired with cloud GLM challenges assumptions about model scale and reasoning.
⚡ 30-Second TL;DR
What Changed
The system combines a 4B Qwen model running on a smartphone with cloud-based GLM.
Why It Matters
The result points to a hybrid inference pattern in which compact on-device models work together with larger cloud models. If reproducible, it could inform future designs that balance mobile latency, privacy and cloud reasoning capability.
What To Do Next
Track the full ARC-AGI 3 report and reproduce its Qwen-on-device plus GLM-cloud evaluation before adopting the hybrid architecture.
Key Points
- •The system combines a 4B Qwen model running on a smartphone with cloud-based GLM.
- •The combined setup reportedly achieved strong results on the ARC-AGI 3 benchmark.
- •A Fields Medalist is involved in the large-model research effort.
- •The researchers highlight the difficulty of establishing a mathematical common foundation between models.
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Original source: 量子位 ↗
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