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LLMs disrupt traditional measures of work effort and value

The increasing capabilities of Large Language Models (LLMs) are making many tasks easier, but they are also disrupting traditional methods of gauging the effort involved in work. This shift complicates the ability to communicate the amount of effort put into a project to others. The author notes that the perception of effort has historically served as a proxy for an item's value or worthiness of engagement, and this is now being challenged by LLM-assisted creation. AI

IMPACT LLMs are changing how we perceive and communicate the value of work, potentially altering professional and creative engagement.

RANK_REASON The item is an opinion piece discussing the impact of LLMs on the perception of work effort.

Read on Mastodon — mastodon.social →

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LLMs disrupt traditional measures of work effort and value

COVERAGE [1]

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

    Legibility of Effort · eieio.games "So: Lots of work is easier because of LLMs, and Lots of heuristics we used to gauge effort are broken because of LLMs, so Co

    Legibility of Effort · eieio.games "So: Lots of work is easier because of LLMs, and Lots of heuristics we used to gauge effort are broken because of LLMs, so Conveying effort to others is harder because of LLMs And: “Someone spent time on this” is a proxy for “this is worth engag…