Your AI Knows TOO MUCH – And You Can’t Make It Forget!

Summary: The video discusses the limitations and challenges of large language models (LLMs) in comparison to more agile technologies like fuzzers. It highlights the inflexibility of LLMs, especially in terms of adapting to new information or forgetting existing data, emphasizing the costly and time-consuming process of retraining these models.

Keypoints:

• LLMs require retraining to remove any data, making them inflexible.
• Fuzzers allow for quick adjustments, in contrast to the lengthy retraining needed for LLMs.
• LLMs may appear human-like but involve complex reasoning layers that are expensive to modify.
• Attempts to erase specific knowledge from LLMs can lead to unintended loss of related information.
• Retrofitting an LLM months after deployment can reveal the inefficiency of using such models for certain tasks.