It's missing the Booklet 3G. https://en.wikipedia.org/wiki/Nokia_Booklet_3G

BlackBerry: Seriously?

Exactly. If I need just filter/map/some etc., I use it. But if I need a combination of more than one, that's a job for reduce().

So you prefer

    arr.reduce((acc, el) => {
      if (el % 2 === 0) {
        acc.push(el * 2);
      }

      return acc;
    }, []);

over

    arr.filter(e => e % 2 === 0).map(e => e * 2)

The only advantage of the reduction as I see it is performance, but this is highly dubious and would need to be profiled for proof (I don't recall seeing removing a pass like this matter in practice). And if perf does matter, a for..of loop would be clearer and one-pass, not to mention async-compatible:

    const result = [];
    for (const el of arr) {
      if (el % 2 === 0) {
        result.push(el * 2);
      }
    }

Exercises like this illustrate why verbal technical job interviews are useful in the age of LLMs--a series of A/B taste preferences seems high signal and ripe for discussion: "Ah, so you're choosing reduce for perf... please describe a scenario you encountered where this made a measurable impact".

Dark mode?

Looks like a variant of Trebuchet MS.

This is excellent. Async being first class is definitely a paradigm shift compared to other frameworks. Vue has been trying to outdo Solid by the introduction of Vapour mode but now Solid has the upper hand once again.

(I see a lot of people complaining about AI use in writing the announcement. What they forget is, when you spend time actually writing and debugging code, these kind things that can be outsourced to LLMs should be. The important stuff is elsewhere and that's what matters. Not a blog post. Its purpose is to tell the users what to expect and the post does that well.)

> I see a lot of people complaining about AI use in writing the announcement. What they forget is, when you spend time actually writing and debugging code, these kind things that can be outsourced to LLMs should be.

the way you do something is the way you do everything. AI slop in one place of your work makes people think there's AI slop in other places too.