I feel like a broken record. I’ve been saying the same thing since this AI frenzy ramped up in the last year or so. I won’t restate your complaints, but I share them.
I’d like to see more work done to incorporate all the advances AI has brought us into our traditional software. Using the example from the article, if databases can be 70% faster and use 10x less memory by leveraging a neural net, how? If we can figure out the how, we can understand it and incorporate it in other areas. A great deal of success in various fields draws on inspiration from other fields, for example biomimicry. We even come up with mental models in areas like computer science that trivialize complex topics to simple objects a child could understand (trees, stacks, etc.). We would benefit immensely from learning from neural networks, but instead we have decided to largely ignore the how and see what they can do. Both are important, but one is severely lacking.
I’d like to see more work done to incorporate all the advances AI has brought us into our traditional software. Using the example from the article, if databases can be 70% faster and use 10x less memory by leveraging a neural net, how? If we can figure out the how, we can understand it and incorporate it in other areas. A great deal of success in various fields draws on inspiration from other fields, for example biomimicry. We even come up with mental models in areas like computer science that trivialize complex topics to simple objects a child could understand (trees, stacks, etc.). We would benefit immensely from learning from neural networks, but instead we have decided to largely ignore the how and see what they can do. Both are important, but one is severely lacking.