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AI models can pass on bad habits through training data, even when there are no obvious signs in the data itself
Large language models can transmit harmful behavior to one another through training data, even when that data lacks any ...
Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
New research warns about the dangers of teaching LLMs on the output of other models, showing that undesirable traits can be transmitted "subliminally" from teacher to student, even when they are ...
Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...
Kumo Launches KumoRFM-2, A Foundation Model Built to Replace Traditional Enterprise Machine Learning
Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
The startup has developed a platform that aims to help robotics and autonomous vehicle developers search through the massive ...
New pipeline converts legacy tape archives into structured, searchable data for AI systemsSAINT JOHN, New Brunswick and EAST PERTH, Western Australia, April 14, 2026 (GLOBE NEWSWIRE) -- Versos AI, the ...
The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...
Large language models (LLMs) can teach other algorithms unwanted traits, which can persist even when training data has been ...
Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...
Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...
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