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I would think it was a weird photoshop job.
I would think it was a weird photoshop job.
The lighting doesn’t feel very natural. It’s inconsistent.
Her hair and face suggest a direct sunlight from the left, but the environment suggests indirect sunlight. The background trees should have more direct sunlight to the left.
The tentfire should also spill out some light to the environment.
The tent also suggests the sunlight comes from the right.
Consistent lighting is something AI is currently struggling with. It gives off a Photoshop edit vibe.
There’s still something uncanny about it.
Still incredibly impressive. I wouldn’t believe this was prompt generated just a few years ago.
I’m bad at being a good person, so that would make me a bad person?
That’s good to hear. I haven’t touched Eclipse in maybe 15 years and back then it fueled me a burning hatred for IDEs. It felt like a huge confusing mess. But maybe it has become more streamlined lately.
Now I have grown out of my hatred and can’t imagine a day without (non Eclipse) IDEs.
Is anyone using Eclipse anymore? I’ve barely heard anything about it the past 10 years.
It’s not that funny.
Docker is like a virtual machine, but you only run one specific program in it. About exactly what the meme describes.
That’s fair enough. The common misconception is that waterfall is great for space missions, when in reality NASA is doing agile.
I agree that not everybody is NASA, so what works for them doesn’t necessarily work for everyone.
NASA also successfully flew a helicopter on Mars first try.
It’s barely waterfall planning either. Often there’s no planning, at least no coordinated one.
Currently at my current workplace we lack coordinated planning between teams. It seems like everybody is working in their own directions and it can take months until we get feedback from other teams. Mostly a product management problem.
The author is also hyping up waterfall too much. Agile was created because waterfall has its shortcomings (e.g. the team realizes too late that what they’re building isn’t what the customer wants).
But I also think it also represents how poorly implemented these ideas are. People say they do agile/kanban/scrum, but in reality they do some freak version of these.
I think this is a bit disingenuous. There’s no customer interaction in these panels.
So waterfall would be:
Customer says they want to go to Mars.
You spend years building a rocket capable of going to Mars, draining all the company budget in the process.
Customer then clarifies they actually meant they wanted to go to Mars, Pennsylvania, USA - not the planet!
Fantastic Four has only had one movie reboot. Two if you count the unreleased one from the 90s.
Which doubles the maintenance work to keep docs in sync
When someone writes API docs, should they assume the reader knows nothing or can they assume the is already experienced?
It takes a lot of effort to write documentation towards newbies, at the cost of making it more difficult for already experienced to find the answer they need.
It has been a pleasure having this internet argument with you. I learned a bit, and you learned a bit. It’s a win win :)
Whether they intend it or not, these engines are built to funnel you back into the lowest common denominator, most broadly appealing stuff, because that’s what the algorithm sees gets the most clicks from the average person.
That’s not my general experience. Spotify for example is good at recommending me songs with less than 10k plays which I vibe on. I’ve discovered many smaller artists thanks to Spotify recommendations.
Recommendation is part of the service. If they know I like something, then it’s reasonable they recommend me something that’s similar. It’s like going to a restaurant and asking for recommendations.
Advertising is when things are promoted outside the service. It’s like going to a restaurant and they tell me about Raid Shadow Legends. I don’t want that.
I think recommendation should be linked to usage data like watch history on that particular service. Location and other external information shouldn’t be used. I don’t want my recommendations depend on which friends I have or recent activity on a different service.
My implementation: https://pastebin.com/3PskMZqz
Results at bottom of file.
I’m taking into account that when I update a hash, all the hashes to the right of it should also be updated.
Number of hashes is about 2.71828 x n! as predicted. The time seems to be proportional to n! as well (n = 12 is about 12 times slower than n = 11, which in turn is about 11 times slower than n = 10).
Interestingly this program turned out to be a fun and inefficient way of calculating the digits of e.
Undefined is not part of JSON specification. It’s also not a thing in Java.