
In this episode of AI Sparks, we explore a fascinating new idea from recent research: co-evolution of algorithms and prompts using Large Language Models (LLMs).
Traditionally, AI systems try to improve algorithms while keeping prompts static. But this paper flips the script. It shows that prompts are not just instructions — they’re part of the intelligence. When prompts evolve alongside swarm-based optimization algorithms, performance jumps dramatically, even on hard real-world problems like scheduling, routing, and planning.
We unpack this in simple, non-technical terms:
The big takeaway?
👉 AI isn’t just writing better code — it’s learning how to ask better questions.
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