Part 3/5:
The author draws parallels between the current AI hype and past instances of exaggerated claims and unfulfilled promises, such as the Euphoria of 2021 when tech companies were hiring aggressively. They caution against falling for the same trap, as hype is a powerful marketing tool that can lead to disappointment.
The Limitations of AI Advancement
The author suggests that the rate of improvement in AI may slow down over time, just as it does in other fields like distributed systems. They argue that the bottleneck for AI advancement is not yet clear, but it's possible that a paradigm shift, such as the use of quantum computers or organic materials, may be necessary to achieve the level of intelligence many people expect.