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Rio de Janeiro's city government model Rio3.5 beats Qwen3.7 in recent benchmarks

twitter.com

June 14, 2026

1 min read

🔥🔥🔥🔥🔥

52/100

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Community Sentiment

Mixed

Positives

  • The funding of a fine-tuned model by a city government highlights innovative applications of AI in public services, potentially setting a precedent for other municipalities.
  • The use of the SwiReasoning framework in Qwen demonstrates advancements in model architecture that could enhance reasoning capabilities in AI applications.

Concerns

  • Benchmarks in AI are often gamed, making them unreliable indicators of true model performance, which raises concerns about the validity of claims made by smaller teams.
  • The practice of 'benchmaxxing' suggests that many in the community are skeptical about the authenticity of performance claims, undermining trust in benchmark results.