Wired: OpenAI’s GPT Store Has Left Some Developers in the Lurch

Source URL: https://www.wired.com/story/openai-gpt-store/
Source: Wired
Title: OpenAI’s GPT Store Has Left Some Developers in the Lurch

Feedly Summary: OpenAI promised payouts to custom GPT creators. Now most are turning to outside sources for revenue.

AI Summary and Description: Yes

Summary: The text discusses OpenAI’s recent launch of a marketplace for custom GPTs, highlighting both the excitement around new earning opportunities for developers and the challenges faced by small developers in accessing revenue-sharing models. It offers insights on trends within the AI landscape, especially regarding platform dynamics and monetization opportunities for AI applications.

Detailed Description:
The article focuses on OpenAI’s announcement made during a November 2023 developer day about launching a store for custom GPTs, which allows users to create tailored applications utilizing OpenAI’s ChatGPT technology. The key points include:

– **Marketplace Opportunity**: OpenAI aims to position itself as a leading platform in the AI field, not just as a chatbot maker. It has launched a marketplace that allows developers to create custom GPTs for various tasks, enhancing the applicability of AI in diverse sectors.
– **Revenue Sharing**: CEO Sam Altman highlighted the importance of revenue sharing with developers who create useful custom GPTs. However, the actual implementation seems limited, as only a select group of developers can participate in this program.
– **Entrepreneurial Potential**: Many developers, like 22-year-old med student Josh Brent Villocido from the Philippines, see the custom GPTs as an opportunity for additional income. Villocido has created over 250 GPTs and had one, “Books GPT,” featured by OpenAI.
– **Challenges Faced**: There are significant hurdles for smaller developers, including:
– Limited access to revenue-sharing, particularly for non-US developers.
– Inadequate analytics tools which hinder developers from assessing their products’ performance.
– Reliance on alternative monetization strategies, such as affiliate marketing.

– **Rising Ventures**: Some successful GPTs have enabled developers to transition towards external funding, such as the AI-driven research app Consensus, which has been able to secure significant venture capital.

The content underscores the evolving nature of AI platforms, developer ecosystems, and the monetization landscape, bringing important implications for security and compliance professionals who need to understand the risks and regulations associated with AI-driven applications. This scenario indicates the necessity for robust security frameworks to ensure data safety and compliance within increasingly complex and diverse AI ecosystems.

In summary, the text is not only relevant for understanding current dynamics in AI development but also highlights the critical areas of security and transparency that come into play as AI technologies become more accessible and commercialized.