Kernekoncepter
The AI era combines elements of the PC and Internet eras, but faces unique challenges in terms of standardization, user interfaces, and widespread adoption that need to be addressed to unlock its full potential.
Resumé
The author draws parallels between the current AI era and the previous PC and Internet eras to provide insights into the state of AI development and adoption.
Key highlights:
The AI era is similar to the PC era in terms of powerful models being costly while smaller models are free, and the Internet era in democratizing access to computational resources.
However, AI lacks a universal standard for prompt engineering, similar to how HTTP and TCP standardized data transmission in the Internet era. This leads to a lack of predictability and portability across AI models.
There is also no standardized user interface for AI applications, unlike the GUI elements defined in the PC era and the HTML/CSS standards in the Internet era. This can make AI applications confusing and inefficient for users.
The author argues that widespread user adoption of AI will only happen when it provides consistent solutions to real-world problems, has no security threats or unintended consequences, and has an easy-to-use interface.
The author suggests that the foundational layers and middleware infrastructure for AI are still being built, and more experimentation is needed at the application layer to come up with a winning formula of model, infrastructure, and human-computer interface.