this post was submitted on 14 Feb 2025
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I propose that the advent and integration of AI models into the workflows of developers has stifled the adoption of new and potentially superior technologies due to training data cutoffs and system prompt influence.

I have noticed a bias towards specific technologies in multiple popular models and have noted anecdotally in conversation and online discussion people choosing technology based on how well AI tooling can assist with its usage or implementation.

While it has long been the case that developers have considered documentation and support availability when choosing software, AI’s influence dramatically amplifies this factor in decision-making, often in ways that aren’t immediately apparent and with undisclosed influence.

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[–] paw@feddit.org 6 points 1 week ago (1 children)
[–] maegul@lemmy.ml 6 points 1 week ago

Yep. And it’s a point well made.

To me it all comes down to the consequences of 1) wanting the work to not just be easier but literally not involve thinking, and 2) how little attention people are paying to where these tools come from: just training on the whole Internet, not some intelligent analytical task specific tooling.

Big and obvious consequences fall out of these I think, and I’m a little frightened how little people think and talk about this.