I have a df64 and a 1zpresso J Max, which IIRC is 48mm conical. The product tastes pretty similar in an aeropress, although I would say df64 is slightly better (could be due to many things, like conical v.s. flat, geometry etc.), but not $200 better.

The speed difference, even considering hand grinding is negligible unless you are making coffee for more than 4 people.

In general I find the diminishing return might hit you real hard if you decide to upgrade; but it is a hobby anyway: if it makes you happy then it makes you happy; who am I to judge :)

What a delightfully shitty video :)

The continent of America is called 美洲, as in “the beautiful continent”

I wish america was this dense, going outside means either I get to see my speedometer for 2/3 of the trip or endless lawns, endless car noise and emission, with endless political signage that all looks the same.

Left 3 Dead

Vegans/Vegetarians are not a small base in many parts of the world, but most vegan I know also don’t consume like of impossible meats very much (once or twice per week at most?).

Comprehension is functional programming too, they arise from list monad https://www.schoolofhaskell.com/school/starting-with-haskell/basics-of-haskell/13-the-list-monad And Haskell do notation indeed reads top-down, unlike Python, but I find both quite readable.

Linus have stated multiple time that he does not break user space, thus this quiet clearly cannot be real.

I heard in many large companies, they would create short artificial downtime for internal services, so that user-facing system never rely on a single internal system for resources and data. This prevents large downtime in user facing system when any internal service is down for a large amount of time.

I think a great use of interns is to make these downtime more organic.

Engineers can laterally move to more prestigious or challenging projects if they prove worthy based on their skills and connections. One former staffer tells WIRED that this made the company feel like a meritocracy where the best people, and the best ideas, naturally rise to the top.

I am very interested in the culture and psychology of these supposed “meritocratic” companies. Personally, I don’t believe we have a reasonable approximation of the hyper-efficient merit-based resource allocation that is promoted by the ultra-rich.

Usually I find these so-called “meritocratic” policies do not encourage good ideas, but enable hyper-competitive environments.

These kind of environments likely do not support solid well-thought-out proposals; instead, pushes the quick implementation of mediocre ideas (a.k.a move fast and break things). A hyper-competitive environment can also discourage collaboration, which often can be crucial to “solve the hard problems”.

And the article mentions that this environment boosts employee retention, which I find extremely interesting. I wonder if the constant competitions can keep triggering a sense of “winning” and “accomplishment” in a perhaps mundane job.

I am in this picture and I don’t like it.

It seems like they have replied and said they won’t repel the act.

Unfortunately, even EU’s solution doesn’t support non-google-backed android.

TO THE UK GOVERNMENT

Yeah but OP’s post is about the U.S. economy and your post is about Trump.

Even though I agree with you completely.

Thank you! This is very helpful.

Sorry, the language my original post might seem confrontational, but that is not my intension; I m trying to find value in LLM, since people are excited for it.

I am not a professional programmer nor do I program any industrial sized project at the moment. I am a computer scientist, and my current research project do not involve much programming. But I do teach programming to undergrad and master students, so I want to understand what is a good usecase for this technology, and when can I expect it to be helpful.

Indeed, I am frustrated by this technology, and that might shifted my language further than I intended to. When everyone is promoting this as a magically helpful tool for CS and math, yet I fail to see any good applications for either in my work, despite going back to it every couple month or so.

I did try @eslint/migrate-config, unfortunately it added a good amount of bloat and ends up not working.

So I just gived up and read the doc.

This is interesting, I would be quite impressed if this PR got merged without additional changes.

I am genuinely curious and no judgement at all, since you mentioned that you are not a rust/GTK expert, are you able to read and and have a decent understanding of the output code?

For example, in the sway.rs file, you uncommented a piece of code about floating nodes in get_all_windows function, do you know why it is uncommented? (again, not trying to judge; it is a genuine question. I also don’t know rust or GTK, just curious.

Then I am quite confused what LLM is supposed to help me with. I am not a programmer, and I am certainly not a TypeScript programmer. This is why I postponed my eslint upgrade for half a year, since I don’t have a lot of experience in TypeScript, besides one project in my college webdev class.

So if I can sit down for a couple hour to port my rather simple eslint config, which arguably is the most mechanical task I have seen in my limited programming experience, and LLM produce anything close to correct. Then I am rather confused what “real programmers” would use it for…

People here say boilerplate code, but honestly I don’t quite recall the last time I need to write a lot of boilerplate code.

I have also tried to use llm to debug SELinux and docker container on my homelab; unfortunately, it is absolutely useless in that as well.

There should only be class wars, but unfortunately I doubt the Russian invasion is a class war.