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I asked 6 agents in two conditions (parallel v/s sequential) to create the same tower defence game 👇 LLMs are known to have mode collapse, i.e. if you have multiple parallel runs on the same prompt, you get very similar responses. Is there a way to increase diversity? Yes,...

11,529 просмотров • 25 дней назад •via X (Twitter)

Комментарии: 6

Фото профиля Legal Lancer India | Hire Freelancers
Legal Lancer India | Hire Freelancers24 дней назад

An important distinction: parallel output does not necessarily mean independent thinking. In business workflows, diversity may come less from adding more agents and more from giving them different roles, constraints and evaluation criteria.

Фото профиля Vikas(Vik) Malpani| AI for US Real Estate
Vikas(Vik) Malpani| AI for US Real Estate25 дней назад

Tracks that sequential wins. Parallel copies on one prompt sample the same mode, so N agents give one answer N times. Diversity has to come from each agent seeing the others' work or a different starting context. More heads only help if they aren't reading the same page.

Фото профиля Gerald Sterling
Gerald Sterling24 дней назад

The sequential condition is doing more than adding context. Each prior game becomes a negative prompt for the next one. Apparently agents need peer pressure to develop taste.

Фото профиля RXI(E
RXI(E25 дней назад

excellent idea lol I'm stealing this.

Фото профиля Paras Chopra
Paras Chopra25 дней назад

please do!

Фото профиля urumads🇮🇳
urumads🇮🇳24 дней назад

Isnt this auto research?

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Akshay 🚀

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