A hierarchy of data cleanliness/readiness for training ML systems on: https://towardsdatascience.com/ready-set-ai-preparing-nhs-medical-imaging-data-for-the-future-8e85ed5a2824
Includes an interesting argument for centralising data sharing/cleaning at the NHS level.
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.
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:
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.

