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> Copying is perfect and can be checksummed. Unlike learning in a university, say. What if exactly this flawed way of copying information allowed us to make di
by gls2ro 10y ago
> Copying is perfect and can be checksummed. Unlike learning in a university, say.
What if exactly this flawed way of copying information allowed us to make discoveries?
I mean what if exactly because we have a human transmitting the information/theory with not the same confidence as the one who discovered/invented allowed the possibility to doubt it so making the next discovery more possible?
Edit: formatting
- tlb 10y agoAdding perturbations is a common technique in machine learning. For example, the evolution strategies approach [https://blog.openai.com/evolution-strategies/ https://blog.openai.com/evolution-strategies/] makes 100s of randomly tweaked policies, evaluates them against the task, and recombines them with weights proportional to their performance. Another approach is to train several different neural networks (an ensemble) on a task, and then train a final neural network based on the average of the ensemble. [https://arxiv.org/pdf/1503.02531v1.pdf https://arxiv.org/pdf/1503.02531v1.pdf] So you can probably replicate the useful features of flawed copying between humans.
- gls2ro 10y agoIn light of this, my idea does not hold on. Perturbations can be simulated so there is a way to add this type of chaos into the system. Thank you for the counter arguments. I need to learn more about the ML.