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AI is Stifling Tech Adoption

AI language models are shaping technology adoption in software development through training data limitations and system prompt biases. This analysis examines how AI assistants' preferences for established frameworks like React and Tailwind CSS may be creating barriers for newer technologies, supported by testing across major AI platforms including ChatGPT, Claude, Gemini, and DeepSeek. This article is a look at the growing AI knowledge gap and its impact on technological innovation in modern software development.

https://vale.rocks/posts/ai-is-stifling-tech-adoption

1mo|

Vale!089a4b5364

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4 comments

Like your website!

1mo|

Anonymous

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Thank you very much. I've burnt a questionable amount of time on it so it is nice to hear that has paid off.

1mo|

Vale!089a4b5364

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hello

1mo|

JJJ!4c6a407e55

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Funny how the internet/social media was all about accelerating things compared to the old publishing cycle, but AI knowledge cutoffs make it slower. Of course this is not really true if you use Perplexity.
Maybe this'll have the effect of debouncing new tech, making a tougher fitness function for really good stuff to gain adoption?

19d|

Anonymous

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