GWU-based group pioneering the new science of interacting humans, technology, and AI
NeuroEdge
Researchers at George Washington University have developed a groundbreaking mathematical formula that predicts exactly when artificial intelligence systems like ChatGPT will suddenly shift from helpful to harmful responses – a phenomenon they’ve dubbed the “Jekyll-and-Hyde tipping point.” The new research may finally answer why AI sometimes abruptly goes off the rails.
Tech Xplore
Language learning machines, such as ChatGPT, have become proficient in solving complex mathematical problems, passing difficult exams, and even offering advice for interpersonal conflicts. However, at what point does a helpful tool become a threat?
Newswise
Newswise — Language learning machines, such as ChatGPT, have become proficient in solving complex mathematical problems, passing difficult exams, and even offering advice for interpersonal conflicts. However, at what point does a helpful tool become a threat?
Neural Intel Podcast
This academic paper introduces a novel mathematical formula that precisely predicts when a large language model (LLM) might suddenly shift from producing beneficial output to generating incorrect or harmful content, referred to as a “Jekyll-and-Hyde” tipping point. The authors attribute this change to the AI’s attention mechanism, specifically how thinly its attention spreads across a growing response. They argue that this tipping point is predetermined by the AI’s initial training and the user’s prompt, and can be influenced by altering these factors. Notably, the study concludes that politeness in user prompts has no significant impact on whether or when this behavioral shift occurs. The research provides a foundation for potentially predicting and mitigating such undesirable AI behavior.
The Prompt Index
AI, particularly in the realm of language models like ChatGPT, has become an intriguing yet sometimes alarming part of our daily lives. With countless articles praising their benefits and cautioning their users, can we really trust AI to provide reliable information? Researchers Neil F. Johnson and Frank Yingjie Huo have recently delved into this question, highlighting a phenomenon they call the Jekyll-and-Hyde tipping point in AI behavior. Let’s dive into their findings and discover how this impacts our relationship with AI.
The Assam Tribune
Let’s be honest – saying “please” to your chatbot probably feels a little silly. After all, it’s just lines of code. It doesn’t have feelings, it doesn’t get offended, and it certainly doesn’t need your validation.
AI Papers Podcast Daily
This paper introduces a scientific approach to understanding why large language models (LLMs) like ChatGPT can suddenly produce incorrect, misleading, or dangerous output, referred to as a “Jekyll-and-Hyde tipping point”.
IT Boltwise
MUNICH (IT BOLTWISE) – In the discussion about how to deal with artificial intelligence (AI), the question arises as to whether politeness towards machines is more than just a cultural gesture. Sam Altman, CEO of OpenAI, recently shed light on the financial and energy costs that arise from additional polite phrases in chatbot interactions.
Facto News
The question of being educated with artificial intelligence may seem irrelevant – after all, it is artificial.
The New York Times
Adding words to our chatbot can apparently cost tens of millions of dollars. But some fear the cost of not saying please or thank you could be higher.