refactor_master

No, instead it'll be the new calculator that you can use to lazy-draft an email on your 1.5 hour Ryanair economy flight to the South. Both unthinkable luxuries just decades ago, but neither of which have transformed humanity profoundly.

https://en.wikipedia.org/wiki/Quantum_tunnelling#Biology

You also have to conveniently forget the things that don't sell mangas such as annual typhoons, heatwaves, and of course thousands of premature deaths from man-made causes such as pollution and poor lifestyle.

Otherwise, if predicting disasters was easy, everybody would be doing it. No, it takes special, paper-based skills such as mangas , tarot cards, weekly horoscopes, etc.

All I see is opinions though. And the internet is full of them. You just have to Google "why does this game look so ...". At least if the author had compared the search stats of "good/bad/beautiful/washed out" it would've carried some weight.

The GTA 5 screenshot is a terrible example. It looks like a cheap, dead, video game environment, reminding me how far we've come.

When our grandmothers and grandfathers were growing up, there was a real threat to their health that we don’t face anymore. No, I’m not talking about the lack of antibiotics, nor the scarcity of nutritious food. It was trichinosis, a parasitic disease that used to be caught from undercooked pork.

The legitimate worry of trichinosis led their mothers to cook their pork until it was very well done. They learned to cook it that way and passed that cooking knowledge down to their offspring, and so on down to us. The result? We’ve all eaten a lot of too-dry, overcooked pork.

But hark! The danger is, for the most part, past, and we can all enjoy our pork as the succulent meat it was always intended to be. With proper temperature control, we can have better pork than our ancestors ever dreamed of. Here, we’ll look at a more nuanced way of thinking about pork temperatures than you’ve likely encountered before."

Sorry, what temperature was it again?

Luckily there's the National Pork Board which has bought its way to the top, just below the AI overview. So this time around I won't die from undercooked pork at least.

With that being said, I’m sure they could make a replica that would be almost impossible to tell apart from the real. After all, this technique was specifically invented for mass production.

Is this a problem with Docker, or a problem with people who use Docker? Without much controversy I feel this argument could be made about literally any abstract entity in society from `get_foo` to national institutions. Abstractions seem to be a necessary evil in corporative societies.

Also, the article is way too short and meatless to provoke any real thoughts, and comes across as "If you don't already know what Kubernetes is, just know that it's bad". I don't see how that's going to sway anyone's opinion on anything.

Literally a meme at this point.

Maybe it would be more fitting to say that it just so happens that our human definition of “messy” aligns with entropy, and not that someone decided what messy atoms look like.

I’d say a bucket of water is more neat than a bucket of ice, macroscopically.

  Assuming ~1,200 m² of TiO₂-coated surface removing ~16 g NOₓ/m²/year → 1,200 × 16 = 19,200 g = 19.2 kg/year; with an average car emitting ~5 kg NOₓ/year (based on 15,000 km/year at ~0.33 g/km), the roof offsets ~3.8 cars annually.

I guess you could work in soup kitchens, but that’s horribly inefficient welfare compared to just electing competent leadership, if the ultimate aim is to benefit The People.

And it’s also crazy the spice levels they’re used to. It’s the only place in China I’ve seen 微微辣 (“very very little spicy”). And it was still incredibly spicy!

    data = File.readlines("haystack.txt")
    data = data.map(&:strip)
    data = data.grep(/needle/)
    data = data.map { |i| i.gsub('foo', 'bar') }
    data = data.map { |i| File.readlines(i).count }

How do you get interviewed, hired and payrolled by seven jobs, at once? Are North Koreans in fact 10x developers?

Why not just something like this?

  def f(n):
      time.sleep(random.uniform(0.1, 0.3))  # Simulate network delay
      return pd.DataFrame({"A": [n, n+1], "B": [n*2, (n+1)*2]})

  with ThreadPoolExecutor() as ex:
    df = pd.concat(ex.map(f, range(3)), ignore_index=True)

This has aged well and continues to do so.