Human-Centered AI
Isabelle Levent and
Human-Centered AI
Large Language Models Understand and Can be Enhanced by Emotional Stimuli
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xiereadwise-assets.s3.amazonaws.comIn the most practical sense, we are now much less limited by ideas than ever before. Even people who don’t consider themselves creative now have access to a machine that will generate innovative concepts that beat those of most humans (though not the most creative ones). Where previously, there were only a few people who had the ability to come up... See more
Ethan Mollick • Automating Creativity
This is a common error, which existed long before AI. In fact, generating (or selecting) good ideas is a key challenge. LLMs so far seem to be about as good as the internet at generating lots of quite generic ideas - those who can select the ones that match their context (and yes, then, execute on them) are the ones who will have a chance to succeed.
Alpaca - Humans 🤝 AI Models for Image generation
getalpaca.io
The model was helpful—but only to an extent. They found that while AI improved the output of less creative writers, it made little difference to the quality of the stories produced by writers who were already creative.
Rhiannon Williams • AI can make you more creative—but it has limits
focus less on AI as something separate from humans, and more on tools that enhance human cognition rather than replacing it… If we want a future that is both superintelligent and "human", one where human beings are not just pets, but actually retain meaningful agency over the world, then it feels like something like this is the most natural option.
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
Hope Schroederarxiv.org
