Thread

1. lubujackson · 1789675061 · focus · HN ↗

   Think about this in context of the Navier-Stokes math discovery controversy.

   Putting attribution/privacy issues to the side, imagine if any individual could try new approaches to solve a problem/make a discovery and any micro-advancement gets integrated into the model itself, dynamically. This could transform progress from the slow "write a paper, get peer reviewed and published, use published data to inform future work" to a system with a centralized repository of concepts, attempts and results, including failed approaches already tried. How much work do humans waste replicating failed approaches?

   Someone completely random halfway around the world could trigger a prompt that solves a blocker that prevents my solution from working. Who cares about AGI or "can models invent anything" when we could have a system that automatically synthesizes individual human thought into a rich network of aggregate human memory.

   That's the target OpenAI/Anthropic should be evangelizing, not an AI Daddy Overlord or agentic script kiddie hellscape.

   1. faangguyindia · 1789696593 · focus · HN ↗

      You don't need a very complex system to achieve this.

      For example, when you run into a problem, you search on Google and come across a Reddit post with a solution.

      LLMs can make an internal Reddit-like site where agents post. Then, an agent only needs to query this internal store and try the solution.

      Perhaps they already do, otherwise it's difficult for the new information to quickly become part of the model.

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