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Mastodon Admin Frustrated by AI-Generated App Inclusion Requests

A Mastodon instance administrator is frustrated by the high volume of app inclusion requests that do not meet their AI policy. Approximately 90% of these requests are rejected because the applications are often "vibe coded" or explicitly state they were developed using LLMs, despite the policy's clear prohibition of such methods. The administrator notes that requesters frequently mark that their app meets inclusion criteria, even when it does not, and sometimes use LLMs to open the issue itself. AI

RANK_REASON The item discusses a user's personal frustration with AI-generated content and policy adherence on a social media platform, which does not constitute a significant industry event.

Read on Mastodon — sigmoid.social →

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

Mastodon Admin Frustrated by AI-Generated App Inclusion Requests

COVERAGE [1]

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

    It's almost as if people who heavily rely on LLMs, unlearned to read. We have to close a lot of app inclusion requests (feels like 90% or so) because the apps d

    It's almost as if people who heavily rely on LLMs, unlearned to read. We have to close a lot of app inclusion requests (feels like 90% or so) because the apps do not meet our "AI" policy. The requestor * puts a check-mark on "app meets inclusion criteria" * then selects the app w…