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Comment by GEBBL | Hacker News Reader

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GEBBL

Impressive of the American news channel, CNN, to convert images in minus one second.

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Please don't do this. What would be a fun crack in person becomes a plastic garbage patch here.

Apologies dang, I’ll keep this in mind in future :)

Appreciated!

CNN here is a "Convolutional Neural Network"

I think OP was being sarcastic

Me too, but lots of people may not know so I answered it as if it were sincere.

raises hand I interpreted it as the news company, looked at Github and came back going "what does CNN have to do with this, it looks like they're uni students." Thank you for the actual acronym expansion, it's obtuse if you don't know anything about this stuff. Terrible title.

The title needs to be changed so brains recognize it as such. It either needs a preceding adjective or letter indicating what type of convolutional network it is.

The other option is spelling it out.

Most people will read CNN as the news channel. Even those familiar with neural networks.

Not everyone is from the US...

A significant part are though and it would be helpful for that segment.

We get CNN.com outside the US as well.

Not even close to being American and still see CNN as the News Network.

Agree that title should be changed.

I'm not from Europe, but if I saw "BBC converts night images to perfect daylight in ~1 second", I would assume it meant the British Broadcasting Corporation. CNN is just as big of a name. His point is absolutely relevant.

Said differently: The percentage of people who are not from the US - but are aware of CNN as the Cable News Network, is higher than the percentage of people who are not machine learning experts - but are aware of CNN as a Convolutional Neural Network

1. Not everyone works with ML ornis familiar with different types of neural nets

2. CNN exists outside of the US

yeah, i read it exactly as CNN == Cable News Network and was confused for while...

People will have the intellectual curiosity to click in to see what the title means anyways, I don't see how this is a problem in need of a fix.

I don't think it needs to be changed. I also read it as the news channel, wondered how that would make sense, and guessed it was the other sort of CNN. It's confusing but not misleading.

The new title is even worst tho. "Learning to See in the Dark" gives absolutely no clue on what's the article is about.

Still -1 second is impressive!

I, too, was initially very confused by the headline.

Well, Turner used to colorize b/w movies, I guess progress marches on.

Would add a new dimension to "fake news" if it were...

Speaking of, This would help a lot of awful dark photos sent in to news sources.

Well I got the right CNN by the time I got to the end of the title, but, "Turner"? The British pastoral landscape painter? You lost me.

Ted Turner founded CNN.

CNN is owned by Turner Broadcasting

For reference:

https://en.wikipedia.org/wiki/Ted_Turner

They should make a CLI tool, it stores your processed images one sec before it is invoked!

The major peculiarity of the chemical is its "endochronicity": it starts dissolving before it makes contact with water.

See also Ted Chiang's What’s Expected of Us, where there's a device with a button and a LED, and the LED always lights up one second before you press the button.

https://www.nature.com/articles/436150a

The heart of each Predictor is a circuit with a negative time delay — it sends a signal back in time.

Seriously, what/who's CNN here?

Convolutional neural network

Convolutional Neural Network (for example, some more info here: https://adeshpande3.github.io/A-Beginner%27s-Guide-To-Unders...)

I understand that the title may have brought confusion, and I think your comment calls attention to this whilst also being somewhat funny.

But still, could we make an effort not to devolve into what has happened on Reddit, i.e. comment sections which mainly consist of puns and other low effort jokes?

Title is confusing (?intentionally).

Would make sense to add Tensorflow to make it more specific.

I don't understand what you are saying, it is very "HN" to comment on the title and not on the article.

And it is even more "HN" to comment on details of the title or the article because you don't really know what to say about the article.

Look at my comment.

Sure, and ideally those are downvoted. But low-grade jokes fit in here even less and are usually downvoted. At least that's how it is before HN finishes its transition into Reddit, at which point they won't be downvoted and we'll be back to scrolling through bad jokes like "lol CNN in the title looks like CNN the news network lmao, anyone else notice?" to find serious comments.

It's a fight worth fighting. "C'mon it's just a joke lol" or "it's only a comment about the title" only assist in that transformation.

Meta: this is when I like the Slashdot method, you allow the jokes, tag them as jokes, and let people use their own settings to show/hide the jokes. Basically be permissive on content, but demand proper tagging, then allow people to filter out what they don't want.

Yeah, my mind jumped to CNN's coverage of the first Gulf War and having some color night vision for combat journalism:

https://www.thedrive.com/the-war-zone/25803/this-is-what-col...

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