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> Somehow this field is losing appeal over time. Not true, at all! Since 2010 or so, the APL family has only improved its reputation and grown in popularity. I
by mlochbaum 5y ago
> Somehow this field is losing appeal over time.
Not true, at all! Since 2010 or so, the APL family has only improved its reputation and grown in popularity. I listed some developments of the past two years at https://news.ycombinator.com/item?id=28930064 https://news.ycombinator.com/item?id=28930064. Now, it's not much relative to the huge growth of array frameworks like TensorFlow with more mainstream language design, but it is definitely not losing appeal.
- recuter 5y agoOh no, Marshall, I was being far more despondent and was referring to programming as a whole. Thank you very much for your efforts on BQN. Speaking of TensorFlow, I was looking at tinygrad the other day: https://github.com/geohot/tinygrad/blob/master/tinygrad/tensor.py https://github.com/geohot/tinygrad/blob/master/tinygrad/tens... Very tempted to port it to BQN. I could be wrong but I bet it would shine for that. You could print the whole thing on a t-shirt.
- mlochbaum 5y agoOh, thanks for clarifying, since it occurred to me that you might mean just the appeal to you, but not that you meant the field of programming! I'm no NN expert, but tinygrad looks very approachable in BQN. You might be interested in some other initial work along those lines: https://github.com/loovjo/BQN-autograd https://github.com/loovjo/BQN-autograd with automatic differentiation, and the smaller https://github.com/bddean/BQNprop https://github.com/bddean/BQNprop using backprop.