An optimistic take on neural networks for programming: https://medium.com/@karpathy/software-2-0-a64152b37c35
It makes some good points about predictable runtime performance, ability to trade CPU for accuracy, and the ease of hardware acceleration.
miniblog.
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Today I learnt about "bypass charging", a phone feature where it can run directly off the mains without using the battery at all. No battery charging, less heat, less battery wear. Nifty.
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I'm considering using WebP more: for example, my websites would load faster and browsers have supported it since 2020: https://caniuse.com/webp
That said, GitHub just added support in August 2025, so I suspect I'd still find use cases that don't work yet:
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Test code is total: we require it to always terminate or it's a failure! It also typically has 100% line and branch coverage.
I feel way less nervous about refactoring tests, you can always just run them.