16 citations · 16 across the 13 of their papers we have counts for
8 papers · 1 filter
Interaction Creates Dynamical AI Behavior Absent in Isolation
Bella Xinrui Li, Frank Yingjie Huo, Neil F Johnson
What will happen when AI agents interact in daily life, e.g. when one AI starts bossing another around? We find a counterintuitive answer that opens new avenues for out-of-equilibr…
Many-body Tipping Dynamics of ChatGPT-like AIs
Frank Yingjie Huo, Neil F. Johnson
Why do ChatGPT-like AIs, despite major architectural and training differences, unexpectedly tip to undesirable content (e.g. harmful, misleading, repetitive) even under determinist…
Fusion-fission forecasts when AI will shift to undesirable behavior
Neil F. Johnson, Frank Yingjie Huo
The key problem facing ChatGPT-like AI's use across society is that its behavior can shift, unnoticed, from desirable to undesirable -- encouraging self-harm, extremist acts, finan…
When AI output tips to bad but nobody notices: Legal implications of AI's mistakes
Dylan J. Restrepo, Nicholas J. Restrepo, Frank Y. Huo +1
The adoption of generative AI across commercial and legal professions offers dramatic efficiency gains -- yet for law in particular, it introduces a perilous failure mode in which…
Competition for attention predicts good-to-bad tipping in AI
Neil F. Johnson, Frank Y. Huo
More than half the global population now carries devices that can run ChatGPT-like language models with no Internet connection and minimal safety oversight -- and hence the potenti…
Multispin Physics of AI Tipping Points and Hallucinations
Neil F. Johnson, Frank Yingjie Huo
Output from generative AI such as ChatGPT, can be repetitive and biased. But more worrying is that this output can mysteriously tip mid-response from good (correct) to bad (mislead…
Jekyll-and-Hyde Tipping Point in an AI's Behavior
Neil F. Johnson, Frank Yingjie Huo
Trust in AI is undermined by the fact that there is no science that predicts -- or that can explain to the public -- when an LLM's output (e.g. ChatGPT) is likely to tip mid-respon…
Capturing AI's Attention: Physics of Repetition, Hallucination, Bias and Beyond
Frank Yingjie Huo, Neil F. Johnson
We derive a first-principles physics theory of the AI engine at the heart of LLMs' 'magic' (e.g. ChatGPT, Claude): the basic Attention head. The theory allows a quantitative analys…