User finds LLMs inefficient for work, comparing them to a untrustworthy subordinate

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 1 source

A user on Mastodon shared their experience using large language models for work, noting that while they can produce a faster initial draft, achieving a satisfactory result requires numerous iterations. The user compared the process to managing an untrustworthy employee or a slow student, questioning the value of such an interaction. Ultimately, they concluded that they would prefer to spend their time with a human student who can learn from the engagement. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Highlights user frustration with current LLM capabilities for complex tasks, suggesting a gap between potential and practical application.

RANK_REASON User opinion piece on the practical utility of LLMs for work.

Read on Mastodon — mastodon.social →

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COVERAGE [1]

Mastodon — mastodon.social TIER_1 · [email protected] · 2026-04-28 12:52

Ok, I gave LLMs another try in doing meaningful work in my job. a) the first attempt, indeed gives me a faster first draft than I could have done myself. b) I n

Ok, I gave LLMs another try in doing meaningful work in my job. a) the first attempt, indeed gives me a faster first draft than I could have done myself. b) I need around a dozen iterations to get something that is somewhat OK. c) I feel like I am middle-managing an untrustworthy…

COVERAGE [1]

Ok, I gave LLMs another try in doing meaningful work in my job. a) the first attempt, indeed gives me a faster first draft than I could have done myself. b) I n

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