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Author criticizes LLMs for resource-intensive, repetitive answer generation

The author expresses concern about the resource inefficiency of Large Language Models (LLMs). They draw a parallel to generated websites, noting that while those are pre-generated, LLMs create answers on-demand for every query. This process, according to the author, wastes computational resources by generating the same or similar answers repeatedly for identical questions. AI

IMPACT This perspective highlights potential inefficiencies in current LLM architectures that could impact future development and deployment strategies.

RANK_REASON The item is a social media post expressing a personal opinion about LLMs, not a significant industry event or release.

Read on Mastodon — fosstodon.org →

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Author criticizes LLMs for resource-intensive, repetitive answer generation

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · kednar ·

    Dystopian realisation: When you search something and land on a generated website, at least it's already been generated. When you ask an LLM something, it's goin

    Dystopian realisation: When you search something and land on a generated website, at least it's already been generated. When you ask an LLM something, it's going to waste resources to make up an answer, and it does that for every single person who asks the same question, even if …