I wrote an AI textbook — how long until AI can do it better?
Reflections on AI's writing ability and how AI models get more capable.
Criticism surrounding AI writing tends to focus on creative, high-voice content, such as blogs. These critics argue that AI struggles to deliver a deep human expression, point of view, or process of thinking within its output. However, when it comes to non-fiction writing, AI models have demonstrated their utility. In fact, one of the key advantages of large language models (LLMs) lies in their ability to generate filler text and perform copy editing tasks.
As AI models continue to evolve, it is concerning that their performance in long-form, non-fiction writing is stagnating. This lack of progress should be alarming to those who rely on AI to solve complex, real-world problems in the near future. Today's AI models struggle with organizing and presenting well-established scientific concepts, a fundamental requirement before they can tackle broader, open-ended issues independently.
While these models may improve in identifying minor errors and inconsistencies, it is unlikely that their ability to integrate and synthesize information will improve significantly. Even with advancements in model size, enabling them to hold more knowledge, the likelihood of a transformative leap in their writing capabilities remains uncertain.
Written by urgent.news from Interconnects's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
