Chris, I want to ask you a question about the future of AI language models and their revenue models. Currently, accessing these large language models is either free in beta or requires a subscription fee for advanced features. Do you think this will continue to be the revenue model for AI access, or do you think there will be inline advertisements like we’ve seen in the past?
There’s a lot of buzz around ChatGPT 5, which is rumored to put OpenAI at a trillion-dollar valuation. The speculation is that it will have a $20 subscription fee for access. However, with competition entering the market, such as Nvidia with their foundations program, the landscape might change. Other language models and competitors are emerging, some of which we may not even be aware of yet.
Imagine a world where language models are organized based on everything you’ve ever said, read, or done. The information that only you have. This level of personalization and insight could be incredibly powerful. For example, you could ask questions about your average sales closing rate on proposals with specific features that are not publicly known.
Already, there are stepping stones towards this future. For instance, you can use the ChatGPT API to chat with any PDF using chatpdf.com. This allows you to extract insights from your own documents and other sources.
As the competition grows, the game will change. It’s almost like a white-label approach, where different companies offer their own versions of language models tailored to their specific needs. Seth Godin is already doing this with his own documents and internal insights.
While the potential is exciting, it’s important to remember that there are still inaccuracies in AI language models. Trusting them completely can be risky. Accuracy should still be a priority, even in an era where it seems less important.
In conclusion, the future of AI language models and their revenue models is uncertain. The current subscription-based model may continue, but with the entry of new competitors and advancements in technology, the landscape could change. Personalized and insightful language models have the potential to revolutionize various industries, but caution should be exercised in relying too heavily on their accuracy.
