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Stagnation in long-form nonfiction writing is an alarming sign for expectations that AI will autonomously solve grand, open scientific problems soon.
Current models struggle to organize and compellingly present even well-established science. Until they overcome this limitation, scientific progress from LLMs is likely to remain concentrated on low-hanging fruit and connections between distant fields rather than revolutionary insight. ✦ AI generated
the author · Interconnects · 2026-08-12 · original ↗
Models being stagnant in long-form, non-fiction writing should be alarming to those reliant on models autonomously solving grand, open science problems in the near future. The models today struggle to organize and compellingly present some of the most established science in their area. This seems like a natural prerequisite that we should expect the models to master before they can solve broad, open-ended problems on their own. Until this is solved, the progress of LLMs for science will look closer to solving low-hanging fruit and merging distant connections across fields, rather than any sort of revolutionary insight.
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- ·模型仍难组织并生动呈现已确立的科学知识
- ·这是自主解决广泛开放问题的自然前提
- ·因此不应期待模型近期自主解决重大科学难题
- ·LLM科学进展可能集中于低垂果实
- ·模型或擅长连接遥远领域的知识
- ·这不同于产生革命性洞见
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supports → The best textbooks will remain heavily crafted by humans for at least two to five years because AI currently saves only 10–20% of the effort and excels at transforming existing knowledge rather than creating its core insight.the author · Interconnectssupports → Today's LLMs increase entropy rather than compressing and organizing knowledge in long-form nonfiction, so they will remain dependent on human guidance.the author · Interconnectsrebuts → AI has two unprecedented qualities compared to every prior technology: autonomy (you can give it a job without specifying how to do it, and it figures it out) and a degree of unpredictability about the future that no earlier innovation, including the internet, ever had.Howard Marks · My First Millionsupports → LLMs are good at checking or producing individual components and making small edits, but they compound errors when asked to organize and connect those components into an entire technical chapter.the author · Interconnectssupports → Models have improved rapidly in coding, mathematics, search, and research, but writing well has barely advanced because it is a difficult, relatively orthogonal skill with inadequate specialized training data.the author · Interconnectssupports → AI can provide substantial value in nonfiction writing when an expert supervises it closely, but it should mainly handle repetitive, verifiable, or editorial tasks rather than the parts that convey a work's story and intellectual soul.the author · Interconnects