rhgrouls :julia:
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Obviously it's a funny way to bring it. But considering #jacquesvallee ideas about absurdity, and the idea of mimicry, without claiming it is either real or false, there seems to be some overlap, right? Or is this more a case of apophenia https://en.m.wikipedia.org/wiki/Apophenia #ufo #uap
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Sarah Silverman sues #openai over #copyright . On the one hand, I can understand where she’s coming from. However, I ‘m not sure if copyright is exactly what is at stake here.
If I read a text, and I’m inspired to create content, I’m not infringing copyright. What’s the difference with AI?
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@[email protected] I am looking for idea-lab mindsets overhere, not echo-chambers. I would classify your reaction as a setup for an echo-chamber. You're still invited yo the idea-lab
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How to fix this? The consequentialist framework (CF) to algorithmic fairness foregrounds the results of decisions, rather than properties of the prediction.
One starts by identifying the utility of different possible outcomes, eg efficiency and equity. Optimal decision policies can be derived with Linear Programming that uses stakeholder preferences.
This approach has advantages over static experimental designs (eg randomized trials)
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@WithDownes In terms of ecosystem, #python has a 20 year head start, but for my use cases both #julialang and #pyhton have nice ecosystems, both in terms of community and libraries.
However, what I really appreciate about Julia, is that the libraries are written in Julia. So I can always have a look and extend or modify them, without suddenly hitten a backend in another language like c/c++
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Is there a #julialang equivalent of https://github.com/google/gin-config ?
I found using .gin files a really simple but useful way to store #hyperparameters during #deeplearning
If you do #machinelearning with #python and haven't heard of it, check it out!