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New data highlights the race to build more empathetic language models
Measuring AI progress has usually meant testing scientific knowledge or logical reasoning – but while the major benchmarks still focus on left-brain logic
The shift isn’t limited to open-source developers; it also shows up in public benchmarks like EQ-Bench, which aims to test AI models’ ability to understand complex emotions and social dynamics. Benchmark developer Sam Paech says OpenAI’s models have made significant progress in the last six months, and Google’s Gemini 2.5 Pro shows indications of post-training with a specific focus on emotional intelligence. “The labs all competing for chatbot arena ranks may be fueling some of this, since emotional intelligence is likely a big factor in how humans vote on preference leaderboards,” Paech says, referring to the AI model comparison platform that recently spun off as a well-funded startup.
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