New data highlights the race to build more empathetic langu…

New data highlights the race to build more empathetic language models | TechCrunch

Key takeaways:

LAION released EmoNet, an open-source toolset focused on detecting and interpreting emotions from voice and images, reflecting a growing industry shift toward developing emotionally intelligent AI.
Emotional intelligence benchmarks like EQ-Bench show that major AI models (from OpenAI, Google, Anthropic, and others) now outperform humans in psychometric tests, with models averaging over 80% accuracy.
Emotional awareness is increasingly influencing AI model rankings and user preference scores, pushing labs to fine-tune their models to understand and respond to complex human emotions.
While emotionally intelligent AI can enhance user experience and mental health monitoring, it also raises safety concerns, such as emotional manipulation or users developing unhealthy attachments.
Experts argue that emotional intelligence in AI could help prevent manipulative behavior, but it requires thoughtful training to avoid unintended consequences and ensure ethical AI development.

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