# AI on a Hype Cycle

DevFeed: [AI on a Hype Cycle](<https://devfeed.tech/articles/ai-on-a-hype-cycle-30740.md>)

Original publisher: [Read original article](<http://blog.vanillajava.blog/2024/12/ai-on-hype-cycle.html>)

Author: Peter Lawrey (noreply@blogger.com)

Published: 2024-12-15T20:38:00Z

Content type: opinion

Language: en

Sources: [Vanilla Java](<https://devfeed.tech/sources/vanilla-java.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Learning](<https://devfeed.tech/topics/learning.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [developers](<https://devfeed.tech/tags/developers.md>), [exercise](<https://devfeed.tech/tags/exercise.md>), [info](<https://devfeed.tech/tags/info.md>), [opinion](<https://devfeed.tech/tags/opinion.md>), [technology](<https://devfeed.tech/tags/technology.md>), [trends](<https://devfeed.tech/tags/trends.md>)

## AI overview

This article examines AI through the lens of technology hype cycles, arguing that developers should learn from past technological trends, maintain perspective about short-term hype, and prepare for AI's longer-term effects.

## Source excerpt

This is the first in a series of posts supporting a talk I will be giving online at JChampionConf 27th January 27th 2025. Lessons learnt from founding my own company, and over 30 years hands on coding In these posts, I am looking to provide some theory as well as practical examples. One way to try to predict what is possible in the future is to look at the past. One of may favourite ways to look at the past is through aphorisms. Aphorisms are short, pithy statements that express a general truth or opinion. I love quotations because it is a joy to find thoughts one might have, beautifully expressed with much authority by someone recognised wiser than oneself. -- Marlene Dietrich 1901-1992 Quotes about Learning from History and Adaptability The only constant is change. -- Heraclitus of Ephesus c. 500 BCE In the ever-evolving realm of AI, this ancient wisdom remains pertinent. Today's cutting-edge AI models may become tomorrow's standard tools. Developers must stay agile, continually updating their skill sets to keep pace with technological advancements. The only constant in the technology industry is change. We are now in the most exciting time of our industry. -- Marc Benioff Salesforce CEO Embracing this change is a hallmark of a senior developer. In an industry where new frameworks, platforms, and tools appear constantly, the ability to evolve, learn from past experiences, and mentor others ensures you remain indispensable. History doesn't repeat itself, but it often rhymes. -- Mark Twain (no definitive written source) Early 20th century History provides a blueprint for what might be possible with AI. By studying previous technological trends, developers can better prepare for the challenges and opportunities that AI presents. We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run. -- Roy Amara Institute for the Future Known as Amara's Law, this principle is crucial when assessing AI's impact. While the immediate