# AI Expectations and Recurring Hype Cycles

DevFeed: [AI Expectations and Recurring Hype Cycles](<https://devfeed.tech/articles/fun-reading-ai-great-expectations-11232.md>)

Original publisher: [Read original article](<https://blog.ipspace.net/2025/08/worth-reading-ai-expectations/>)

Published: 2025-08-12T06:26:00Z

Content type: opinion

Language: en

Sources: [ipSpace.net blog](<https://devfeed.tech/sources/ipspace-net-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [networking](<https://devfeed.tech/topics/networking.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [article](<https://devfeed.tech/tags/article.md>)

## AI overview

The article discusses Rodney Brooks's republished essay on AI expectations and argues that its observations remain relevant despite decades of advances in silicon capabilities. It also reflects on recurring AI hype cycles and a skeptical perspective shaped by them.

## Source excerpt

Rodney Brooks republished an article on great AI expectations that he wrote 37 years ago. Not surprisingly, apart from a few technical details triggered by four decades of exponential growth in silicon capabilities, the article could have been written yesterday. Side note: I'm a bit younger than Rodney, but I also went through at least three waves of AI hype cycles, starting with Prolog and 4GL, then expert systems, and finally neural networks. Around that time, I stopped caring and focused on networking, but I have enough battle scars to remain skeptical.