The Risks of Text and Image Fusion Using GPT-4V(ision)

GPT-4V(ision), also known as GPT-4V, is a multimodal model, which means it is trained to process both textual and visual data. According to the system card published by OpenAI, this model can generate graphics based on textual descriptions and also answer questions about presented images. In fact, this model can perform visual tasks that traditional GPT models couldn’t handle.

For example, if you provide it with a textual prompt like “snow-covered mountains at sunset,” GPT-4V(ision) has the ability to generate a corresponding image. This fusion of text and image processing could significantly transform various fields, from content creation to advanced research.

Potential Risks of Queries to GPT-4V Leading to Harmful Outputs

Attacks that exploit input queries occur when “hackers” deliberately modify queries intended for artificial intelligence models. This leads to harmful or highly misleading outputs. GPT-4V(ision) works not only with text but also with visual content, significantly increasing the risk of such attacks. Attackers can leverage this dual-input system to create queries that compel the model to generate harmful outputs.

The aforementioned Willison’s article acknowledges such attacks in OpenAI’s system card. However, it does not delve deeper into their potential consequences from a broader perspective. Manipulating textual and visual inputs can result in deceptive outputs, including fake news or misleading images.

Impacts and Potential Uses of GPT-4V

The potential occurrence of attacks utilizing queries underscores the importance of robust security measures in the development of artificial intelligence. As artificial intelligence models become increasingly sophisticated and integrated into various aspects of human activity, ensuring their resilience to such attacks is crucial. Developers must be vigilant in identifying potential vulnerabilities and creating strategies to prevent them.

OpenAI has always been at the forefront of addressing and mitigating risks associated with its models. However, as Willison suggests, there is a need for a much deeper exploration of query-based attacks and a focus on their consequences.

The Risks of Text and Image Fusion Using GPT-4V(ision)

Conclusion

With GPT-4V(ision), OpenAI continues its tradition of pushing the boundaries of what is possible in the field of artificial intelligence. As the lines between textual and visual content blur, tools like GPT-4V are poised to change how we interact with digital content, how we understand it, and how we create it. The future of content generated by artificial intelligence appears to be not just textual but significantly more visual (or audio-visual).