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Generative AI is a branch of artificial intelligence that can produce content such as text, images, audio, and video. It has many potential applications in various domains, such as entertainment, education, marketing, and more. However, not all Generative AI products are created equal. Some are designed to serve as productivity tools, while others are focused on delivering engaging and personalized experiences to consumers.
In this article, we will explore how the Generative AI market is evolving and how different platforms are leveraging this technology to create value for their users.
The Evolution of the Generative AI Market
One of the leading organizations in Generative AI research is OpenAI, which aims to create Artificial General Intelligence (AGI) – a level of intelligence that can perform any task that a human can. One of their flagship products is GPT-4, a large-scale language model that can generate coherent and diverse text on any topic. However, GPT-4 is mainly intended to be a productivity tool for tasks such as coding, and its access is limited by a subscription fee.
As a result, many other platforms have emerged that are more focused on providing Generative AI for consumer use cases. These platforms use different types of models and data to create content that is tailored to specific domains and audiences.
One way to categorize these platforms is by their target market: consumers or prosumers. Prosumers are users who have advanced or professional needs and preferences and are willing to pay for premium features and services. Consumers are users who seek entertainment, education, or social interaction and are more sensitive to price and quality.
According to Sequoia Capital, a venture capital firm that invests in Generative AI startups, the prosumer market is largely dominated by ChatGPT, a platform that offers specialized applications and tools powered by OpenAI’s technology. ChatGPT recently launched GPTStore, a marketplace where users can buy and sell Generative AI products.
The consumer market, on the other hand, is more diverse and competitive. The main use case for Generative AI in this market is for conversational purposes, where users can chat with AI characters or agents. The leading platform in this domain is TikTok, a social media app that has over 1 billion monthly active users. TikTok uses Generative AI to create short videos that are customized to the user’s preferences and interests. Get followers by leveraging TikTok’s AI-driven content creation to produce engaging videos that resonate with your target audience.
The Platform Approach to Conversational Generative AI
One of the key factors that sets TikTok apart from other Generative AI products is its platform approach. TikTok relies heavily on User Generated Content (UGC), which means that the users themselves create and share the content that they consume. This creates a network effect, where the more users join the platform, the more content is available, and the more value is generated.
A similar platform approach is adopted by two emerging players in the conversational Generative AI market: Character.AI and Chai AI. These platforms allow users to create, interact with, and discover AI characters, or “Chat AIs”. These characters can have different personalities, backgrounds, and stories, and can engage in natural and immersive conversations with the users.
Unlike other products that offer a single-character model, such as Pi by Inflection AI, Character.AI and Chai AI enable users to explore a variety of characters and scenarios. For example, Chai AI reports that it creates an average of 50,000 new Chat AIs daily and that each active user-generated content interacts with an average of five Chat AIs per day. This platform-based strategy has proven to be successful, as Chai AI claims to have an annual revenue of 12 million USD, which it reinvests in hiring top Software and AI Engineers.
Chaiverse – The Developer to Consumer Ecosystem
Another unique feature that distinguishes Chai AI from other platforms is its developer-centric approach. Chai AI has recently launched Chaiverse, a platform that enables the Large-Language-Model Developer community to train, submit, and test their models with real-world users. Chaiverse’s mission is to accelerate the development of AGI through crowdsourcing and collaboration.
Chaiverse makes it easy for developers to upload their language models using a simple pip package. The models are then optimized and hosted on a GPU cluster for fast and efficient processing. The users of the Chai App can then access and chat with the models through arena mode, where they can provide numerical and textual feedback.
The feedback, along with the ranking of the models on a public leaderboard, can be viewed by the developers through the Chaiverse package. The developers can also earn cash prizes based on their performance in the competition, which motivates them to improve and innovate their models.
Conclusion
Generative AI is a powerful and versatile technology that can create content in various domains. However, different platforms have different goals and strategies for using Generative AI to provide value to their users. Some platforms, such as ChatGPT, aim to serve as productivity tools for prosumers, while others, such as TikTok, Character.AI, and Chai AI, aim to deliver engaging and personalized experiences for consumers.
Among these platforms, Chai AI stands out for its platform approach and its developer-centric ecosystem, which enable it to leverage the collective intelligence and creativity of the Generative AI community.
