GWU-based group pioneering the new science of interacting humans, technology, and AI
Beauty Matter
A broad spectrum of “sunscreen truthers” on platforms like TikTok, Instagram, and Facebook have peddled the trope that sunscreen causes cancer for at least the last decade. These types of conspiracy theories have reached a fever pitch on social media since the pandemic. From vegan anti-vaxxers and bro-biohackers to MAHA and QAnon supporters, they all have two things in common: a case of chemophobia and a belief that sunscreen is the enemy.
NPJ Complexity
In early 2021, groups of Reddit and Twitter users collaborated to raise the price of GameStop stock from $20 to $400 in a matter of days. The heavy influence of social media activity on the rise of GameStop prices can be contrasted with the muted social media influence on other, more traditional stocks. While traditional stocks are modeled quite successfully by current methods, such methods break down when used to model these so-called meme stocks. Our project analyzes the graph topology of retweet graphs built from GameStop-related tweets and other meme stocks to find that the clustering coefficient and network diameter of a retweet graph can be used to decrease the mean absolute error of meme stock trading volume predictions by as much as 46% over the control group during the first 70 trading days of 2021.
Security Week
No-one really understands how AI works or when and why it doesn’t. But the application of first-principle physics theory to the working of AI’s Attention mechanism is providing new insights.
Newswise
The Chicago Sun-Times and the Philadelphia Inquirer recently published stories with unidentifiable quotes from fake experts and imaginary book titles created by AI.
Gadget
A new study explores when and why the output of large language models goes awry and becomes a threat.
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.