A new study by Anthropic shows that language models might learn hidden characteristics during distillation, a popular method for fine-tuning models for special tasks. While these hidden traits, which ...

' Distillation ' refers to the process of transferring knowledge from a larger model (teacher model) to a smaller model (student model), so that the distilled model can reduce computational costs ...

This is generally coined as subliminal learning. In short, one AI can subliminally learn from another AI by the mere acceptance of sets of numbers that to humans are seen as random or otherwise ...

We are constantly learning new things as we go about our lives and refining our sensory abilities. How and when these sensory modifications take place is the focus of intense study and debate. In new ...

Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, generating a need for more rigorous safety evaluations. Researchers have discovered ...

A recently conducted disturbing new study has uncovered a chilling flaw in how artificial intelligence learns. Termed as Subliminal learning, the phenomenon allows the AI models to absorb data’s ...

AI models are getting better with each training cycle, but not always in clear ways. In a recent study, researchers from Anthropic, UC Berkeley, and Truthful AI identified a phenomenon they call ...

Although the idea that instrumental learning can occur subconsciously has been around for nearly a century, it had not been unequivocally demonstrated. Now, new research uses sophisticated perceptual ...

Here’s the background. When an AI sends seemingly innocuous messages to another AI, there appears to be a cagy embedded conveyance that transmits particular traits to that other AI. The other AI can ...