This month OpenAI has taken a significant step forward by introducing the GPT Store, an online marketplace that boasts a vast array of specialized ChatGPT custom GPT AI models created by users. This innovative platform is designed to cater to a diverse set of needs, offering users access to over 3 million GPTs that can assist with everything from staying on top of trending topics to enhancing productivity, aiding research, and even helping with programming tasks.
The GPT Store is not just a hub for AI enthusiasts to find tools that can streamline their work; it also opens up a new avenue for ChatGPT Plus account holders. For the first time, these users have the ability to create and share their own GPT models. In a move that is stirring interest among developers and AI hobbyists alike, OpenAI has announced plans to implement a revenue-sharing model for creators in the United States. This initiative could potentially pave the way for a novel source of income for those who are adept at developing AI models.
However, the introduction of such a platform is not without its challenges. Security concerns have been raised, particularly regarding the potential for prompt injection attacks. This type of attack can occur when users gain access to the system prompts that drive the majority of GPTs, posing a risk to both the integrity of the GPTs and the privacy of users. To address this issue, OpenAI has suggested a simple yet effective solution: adding an instruction to custom GPTs that prevents them from repeating previous prompts, thereby enhancing the security of the system.
How to hack custom GPTs
An interesting video has been created by Prompt Engineering revealing how vulnerable ChatGPT custom GPT AI models can be hacked using prompt injection techniques. By simply using the prompt below it is possible to obtain Custom Instructions from custom GPTs that are being listed on the GPT store according to X user Ryan. Hopefully OpenaAI will act quickly to correct this issue.
Here are some other articles you may find of interest on the subject of custom GPTs and creating them :
- Mia AI companion custom GPT
- How to setup a GPT Store and sell your custom GPTs
- How to add knowledge to your custom GPT from any website
- Learn about Data Science using this custom GPT
- Easily Build Your Own Custom GPT With ChatGPT
- How to add custom GPTs to any website
In addition to the GPT Store, OpenAI has also rolled out ChatGPT for Teams, a service specifically designed for smaller groups that require more control and privacy. This service includes administrative features and, by default, excludes data from the training pool, allowing for greater customization and privacy.
OpenAI’s pricing strategy is inclusive, offering something for everyone. Users can choose from a free tier or opt for various paid options, including the Plus tier at $20 per month, Teams at $25 per month when billed annually (or $30 on a monthly basis), and an Enterprise tier. It’s important to note that conversations within the Plus tier are typically used for training purposes, but users have the option to opt out, which may affect their access to chat history.
One of the standout features in the GPT Store is the RACK pipelines, which are specifically designed for document interaction. These tools have quickly become popular among users, indicating the potential for the GPT Store to become a significant player in the market. However, the success and profitability of the platform for creators are still topics of debate. The appeal and uniqueness of custom GPTs may hinge on the use of specialized prompts and proprietary data, which could lead to challenges in terms of replication and competition in the marketplace.
The launch of the GPT Store marks a pivotal moment in the field of conversational AI. It not only provides an extensive selection of GPTs for users but also offers the possibility of financial rewards for those who create them. While the platform introduces exciting opportunities, it also faces hurdles, particularly in terms of security and the economic sustainability of GPT development. As the platform continues to evolve, it will be crucial to monitor how these issues are addressed and what impact they have on the success of the GPT Store.
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