Not just OpenEvolve, I’m talking about how agents can use MCP to run code now. Cursor can now have agents iterate on a solution completely on their own.
Genetic algorithms use a fitness function to converge on a solution, so it’s not just random iterations hoping one will work. It’s basically a gradient descent algorithm applied to output from LLMs.
Not just OpenEvolve, I’m talking about how agents can use MCP to run code now. Cursor can now have agents iterate on a solution completely on their own.
Does this not collapse at some point? Like you see with running an image through image to image multiple times?
Genetic algorithms use a fitness function to converge on a solution, so it’s not just random iterations hoping one will work. It’s basically a gradient descent algorithm applied to output from LLMs.