A technical writer reflects on their evolving use of large language models (LLMs) over several years. Initially, in 2023, they found LLMs useful for drafting article outlines but distrusted their output, requiring multiple models for each task. By 2024, the models improved significantly, generating more complete and accurate abstracts and ToCs, reducing the need for multiple models. The writer anticipates further improvements by 2025, with reduced hallucination and more reliable references, potentially needing only two models. By 2026, they foresee a scenario where one top LLM can write most articles, with another LLM used for final review and refinement. AI
IMPACT Illustrates the potential for LLMs to become primary content generation tools, shifting human roles to guidance and critique.
RANK_REASON The item is a personal reflection on the evolving utility of LLMs over time, not a new release or industry-shaping event.
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