The author also emphasizes the importance of understanding the implications of AI for entrepreneurs, cautioning against overpromising and underdelivering. They suggest that as AI technologies become more integrated and commonplace, they should be viewed not as AI, but as specific technologies with practical applications. The article concludes by encouraging founders to use precise language to express their product's uniqueness and benefits, and invites those pushing the frontier of AI into useful technology to connect with Sequoia, the venture capital firm.
Key takeaways:
- The term 'AI' is often overused and its definition changes as technology advances and certain capabilities become commonplace.
- There is a need for a more precise vocabulary to describe AI and its various components, as the current terminology often confuses the public and founders.
- Large Language Models (LLMs) and other AI technologies are making significant advancements, but once they reach a certain level of accuracy, they will no longer be considered AI but will be referred to by more specific terms.
- The concept of the 'frontier paradox' suggests that AI will always refer to the cutting edge of technology, while the term 'technology' will refer to what is currently in use and understood.