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LLM use sparks debate on deskilling vs. skill acquisition

By PulseAugur Editorial · [1 sources] ·

Some users report that while large language models (LLMs) may lead to deskilling for some, they can also foster skill acquisition in others. One individual noted gaining proficiency in new programming languages and tools, such as C++, QML, TypeScript, Node.js, Vite, and NPM/NPX, through LLM-assisted projects. This experience leads to skepticism about LLMs entirely replacing programmers, suggesting a need for further discussion. AI

IMPACT Debate continues on whether LLMs enhance or diminish user skills, with anecdotal evidence suggesting both outcomes.

RANK_REASON The item is a personal opinion piece discussing the impact of LLMs on user skills, not a primary release or significant industry event.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM use sparks debate on deskilling vs. skill acquisition

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Commentary
The item is a personal opinion piece discussing the impact of LLMs on user skills, not a primary release or significant industry event.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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opinion
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High
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50 days old
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Some people mention that using LLMs leads to deskilling, i.e. you become dumber. That might be true for some. But I have gained skills working with programming

    Some people mention that using LLMs leads to deskilling, i.e. you become dumber. That might be true for some. But I have gained skills working with programming languages I didn't use to work with - like creating a mail client in C++ (and QML) or reporting tool in Typescript and N…

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