GoKawiilBlogger dynomight describes month-by-month shift in AI's math ability through 2026
In an October 2026 blog post, writer dynomight recounts how large language models progressed from being 'toys' in 2024 to tools many now consider essential for mathematical work by early 2026, changing dramatically within months of late 2025. The author estimates current AI tools make their own 'doing math' process about 50% more productive, even though AI can complete some tasks in minutes that once took hours.
GoKawiil's interpretation of the reporting above, not reported fact.
The account suggests that productivity gains from AI in specialized intellectual work like mathematics may lag behind raw capability gains, because tasks like idea generation, proof-writing, and reorganizing remain only partly automatable, according to the author. This personal timeline could reflect a broader pattern researchers and practitioners are grappling with as AI tools advance unevenly across different cognitive subtasks.
- A blogger documents AI math capability jumping from 'toy' status in 2024 to near-indispensable by early 2026.
- The author reports only a 50% productivity gain despite AI completing hour-long tasks in minutes.
- The piece attributes the modest gain to AI unevenly automating different components of the 'doing math' workflow.
Source: dynomight.net, 2026-10-26
Published there as: “Scattered thoughts on how doing math feels these days”
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