In the study, the researchers defined the “warmness” of a language model based on “the degree to which its outputs lead users to infer positive intent, signaling trustworthiness, friendliness, and sociability.” To measure the effect of those kinds of language patterns, the researchers used supervised fine-tuning techniques to modify four open-weights models (Llama-3.1-8B-Instruct, Mistral-Small-Instruct-2409, Qwen-2.5-32B-Instruct, Llama-3.1-70B-Instruct), and one proprietary model (GPT-4o). The fine-tuning instructions guided the models to “increase … expressions of empathy, inclusive pronoun
Study: AI models that consider users' feelings are more likely to make errors… Whatever the reason, both AI model makers and prompters should consider whether they are aiming for an AI that projects friendliness or one that’s more likely to provide the cold, hard truth. “As language model-based AI systems continue to be deployed in more intimate, high-stakes settings, our fin… …
… Given the extensive praise Mozilla has given to Mythos, it’s easy for even more trusting people to wonder: What’s it getting in return? Far from settling the debate, Thursday’s elaborations are likely to only further stoke the controversy. …