The way I do math research has started to change greatly over the past few weeks. I still mostly handle problem scoping and operationalisation, but the more concrete work is increasingly done by AIs. More and more of my job is about managing lots of agents working on many projects and approaches in parallel.
I think the biggest bottleneck for me at the moment is explanations. Current AIs are not good at explaining their ideas or their research, the quality of their reports and papers seems a lot lower than the quality of their actual work. This both limits how much work I can supervise at a time, and how much I can get into a publishable state per month.
This is all with Fable, Sol, and sometimes Opus 5, not Astra.
The way I do math research has started to change greatly over the past few weeks. I still mostly handle problem scoping and operationalisation, but the more concrete work is increasingly done by AIs. More and more of my job is about managing lots of agents working on many projects and approaches in parallel.
I think the biggest bottleneck for me at the moment is explanations. Current AIs are not good at explaining their ideas or their research, the quality of their reports and papers seems a lot lower than the quality of their actual work. This both limits how much work I can supervise at a time, and how much I can get into a publishable state per month.
This is all with Fable, Sol, and sometimes Opus 5, not Astra.