https://lastweekin.ai/p/ai-chatbots?triedSigningIn=true
Recent advances in large-language models (LLMs) will probably power the next generation of chatbots. However, as Meta’s BlenderBot 3 public demo shows, making AI chatbots powerful enough to be useful while avoiding harmful responses is a nontrivial task. While LLMs will be used in many commercial applications in the near future, an open-world LLM-powered chatbot is probably not one of them.
Recent advances in large-language models (LLMs) will probably power the next generation of chatbots. However, as Meta’s BlenderBot 3 public demo shows, making AI chatbots powerful enough to be useful while avoiding harmful responses is a nontrivial task. While LLMs will be used in many commercial applications in the near future, an open-world LLM-powered chatbot is probably not one of them.
Professor at George Washington University
I am a Professor with Human-Technology Collaboration and Educational Technology programs at George Washington University in Washington DC. I have written 12 books and more than 100 articles, and I co-host of the Parsing Science podcast where scientists tell the stories behind their research. I am also the developer of the WeShareScience.com online platform for sharing research videos, and SciencePods.com where researchers can create free podcasts about their science. My research interests include human interactions with intelligent machines, needs, needs assessments, and instructional design.
Latest posts by Ryan Watkins (see all)
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- Neural and Cognitive Impacts of AI: The Influence of Task Subjectivity on Human-LLM Collaboration - June 5, 2025