Readit NewsThat's interesting! I have a similar experience but for the opposite reason. I like the book and have enjoyed reading it several times, and listened to the audiobook just before the pandemic.
I know I like it and consider it to be a good book, but every time it's like I'm reading it for the first time. I can only remember thew "mood" so to speak, nothing about when, where, who, what. Even now, just 5 years after the last time.
I think it is related to Gibson's prose, but I remember Pattern Recognition quite well despite having read that only once.
Neuromancer is just a complete blank, except I know I like it. Wonder if anyone else has had a similar experience with a book?
I am like this with a lot of books. I'll remember a very high level overview ("The Historian is about a modern day hunt for Dracula, and it's really cool, and I liked how the story was told, but I can't remember why or any of what happened."), but can't remember much about plot details.
It makes re-reading things fun, but also is frustrating because I can't explain why something was good, and I also remember just enough that plot twists don't surprise me the second time. It also means that I completely forget about the "bad" parts of the book, or the parts that didn't resonate with me.
And these prices are getting low enough, especially with this NUC-based solutions, to actually be price competitive with the low tiers of drive & dropbox while also being something you actually own and control. Dropbox still charges $120/yr for the entry level plan of just 2TB after all. 3x WD Blue NVMEs + an N150 and you're at break-even in 3 years or less
""" [G]lobal data centre electricity use reached 415 TWh in 2024, or 1.5 per cent of global electricity consumption.... While these figures include all types of data centres, the growing subset of data centres focused on AI are particularly energy intensive. AI-focused data centres can consume as much electricity as aluminium smelters but are more geographically concentrated. The rapid expansion of AI is driving a significant surge in global electricity demand, posing new challenges for sustainability. Data centre electricity consumption has been growing at 12 per cent per year since 2017, outpacing total electricity consumption by a factor of four. """
The numbers are about data center power use in total, but AI seems to be one of the bigger driving forces behind that growth, so it seems plausible that there is some harm.
0: https://news.mit.edu/2025/explained-generative-ai-environmen... 1: https://www.itu.int/en/mediacentre/Pages/PR-2025-06-05-green... 2: (cf. page 20) https://www.itu.int/en/ITU-D/Environment/Pages/Publications/...
This is called the Iron Law of Wages. As its name implies, it's neither prescriptive nor pleasant - but it is guaranteed to be liveable.
> Including stuff like transportation, healthcare, food, heat, housing, and insurance.
The thing that trips people up is that the word "liveable" is a synonym for "subsistence," not "fullfilling." A wage that's only liveable would feel quite exploitative to most people.
The "iron law of wages" is instead an economic principle that wages tend to trend downwards until people are paid the minimum possible for subsistence. It's not meant to be a goal.
My dotfiles are private for now cause I need to clean some commits(I think I might have added some private info before) but I intend to publish them eventually
I had to do similar. I ended up deleting the git history and just recreating it before pushing. The best thing was to add a dependency on `~/.secrets` or other similar un-tracked file, which is basically just a source-able script that defines things like API keys, private URLs, etc.