Unverified50% confidenceOpinionExact time
On the main models (Gemini 2.5 Flash and DeepSeek), component language assignment had limited effect on refusal rates.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/30/2026
First Seen
Valid until: 1/28/2027
Sources
Related Entities
Related Claims
UnverifiedThe small model GLM5 paired with an evolved harness beat the stronger model Gemini 3.5 Flash running the default harness, and when the harness evolved for Gemini was handed unchanged to the small model, the latter's coding score immediately jumped by 17 points.71% similarUnverifiedOn Gemini 2.5 Flash and DeepSeek, the three refusal-rate swaps were approximately 5.3 percentage points, and the fourth was -0.5 percentage points; after six Holm corrections, none of these differences were significant.71% similarVerifiedGemini 2.5 Flash adopts a Mixture of Experts (MoE) architecture, activating only a subset of parameters during inference.70% similarVerifiedCompared with the full Gemini 2.5 Pro, Gemini 2.5 Flash significantly reduces inference latency and computational cost while maintaining relatively high generation quality.70% similar
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