rvieira
Joined 7 years ago
Joined 7 years ago
I have an "ironic" machine at home that is an old retina iMac, with Linux installed and themed with Chicago95. My attempt at a machine with a nice hardware, nice OS and nice UI :)
In any case, that's a handy reference list for things to watch.
https://en.wikipedia.org/wiki/The_Guardian (2nd paragraph)
https://www.theguardian.com/media/2021/may/12/guardian-200-t...
However, it's one of those things in life where I don't remember when or why I started doing it like that. Surely I didn't clap like that before my earliest memories (3 or 4 yo).
Everything is automated and runs on a schedule, but when I need some ad-hoc restore, say, of a single snapshot or folder I can always use KopiaUI.
Been quite happy with it.
[0] - actually two providers, for redundancy, plus local physical storage
A mechanical keyboard. Retina displays. Comfortable shoes. Prescription sunglasses. Good coffee.
I never contested that.
> ML is very specifically about manipulating data (a fundamentally dynamic task)
I disagree strongly with using dynamic languages for data. Data has dimensions, units, types. You need to know that you're not adding coats to horses or USD to EUR. You need to know that you didn't silently sliced by the wrong axis. You may want formal verifications. You may to transform data without worrying about silent errors.
All the "metadata" and wrapper classes ML in Python are just trying to give you what the language can't.
> a very glue-task. Give me any language better than python for that
That's my point exactly. ML has evolved beyond glueing a few C libraries. It needs complex, big programs, which is an area where Python is terrible. Also the different nature of the "glued" components (each with its own data formats, protocols and calling conventions) makes the glue a mish-mash of untyped mixed magic idioms.
The ecosystem is the real plus, of course. But the language is a headache for this. I agree with the "false economy" angle. I would happily trade the "agility" of dynamic "gluing" with some kind of real type safety, human-readable error messages and performance[0].
[0] - hiding C in Python's clothes doesn't count :)
People will choose convenience over mostly everything else.
The UK has a ridiculously assymetric economy. You either move to London or fight for scraps anywhere else.
This ties with the housing problem. Education is a debatable investiment, because highly qualified work presumes moving to London.
There is no serious infrastructure investment. There are virtually no specialised companies in big projects, so everything is cut up in small pieces and commissioned to out-of-depth small contractors that see big projects as a "once in a lifetime" opportunity. The process is not streamlined, it can't cope with efficient big infrastructure work.
Even small infrastructure work is not being done, like saving classrooms from literally crumbling (https://www.theguardian.com/education/2022/may/14/england-cr...).
Countryside and suburban people live in a dream-like state induced by the incredibly propagandist media (especially tabloids) where people happily believe that we "once owned the US and Canada" and repeat "5th-6th largest economy" while having tea with the vicar is enough to keep Britain's "achievements".
Childcare is preposterously expensive, education likewise. Housing famously so.
I could go on for a bit.
I'm a huge fan of HelloFresh, and I think it solves an important problem which is one of waste. Before this service, I would buy odd quantities of ingredients (especially vegetables) that would invariable go bad and get chucked in the bin. The amount of lettuce, mushrooms, avocados, etc I threw away were obscene.
With these kind of services I get a tailored amount of perishable ingredients to a specific recipe on a specific day and great deal of mental energy is saved by outsourcing meal planning to them. I don't think I've ever threw away a single food item since using them. IMO this well worth the extra money.