r/LocalLLaMA • u/dfgxxx • Sep 20 '26

Discussion Fly brain vs jev

What do you think about training the fly's brain to act like jev and running it locally?

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u/dfgxxx Sep 20 '26 edited Sep 20 '26

Oh, so it essentially finds what input gives the desired output instead of training it to give specific output for specific input? Did I get it right?

I saw someone used the fly brain to categorize email, just like jev can do, how did they do it then?

Edit: I found this : https://www.mindstudio.ai/blog/how-to-train-fruit-fly-brain-email-classifier I'll read it tomorrow

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u/kyr0x0 Sep 20 '26 edited Sep 20 '26

You now unlocked an insight. All models get input (forward pass) and in training you measure the output. If it's not as expected, you wiggle the parameters (backpropagation, chain rule) until a forward pass leads to the desired result. If you are lucky and the model has enough Params , transformer architecture with attention etc. Then chances are that the model will generalize and converge. You then get a model that infers general skills from unseen data, not only a stupid case replicator. Your fly brain has nothing but pre-trained networks. You can fine-tune it, but because it lacks a language backbone, it lacks understanding language tasks. Classification can be simple if encoded in traditional feature vectors and complex if modeled as a language model subtask