Cornell University Discovers a Huge Threat at the Core of ChatGPT

Author(s): Ignacio de Gregorio

Originally published on Towards AI.

The eggs and omelet paradigm

Over the last six months, companies around the world have been deploying Generative AI (GenAI) solutions.

As most cases require the GenAI model to have “long-term memory” almost every enterprise solution requires a vector database the model can query at run time to retrieve the context required to answer the user inquiry.

But, according to researchers from Cornell University, the now once-thought as highly secure solution hides a troublesome truth that could cause huge privacy concerns.

Also, this discovery gives us tremendous insights into one of the most unknown components of frontier AI models today.

Most insights I share in Medium have previously been… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI