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starman2112

@starman2112@sh.itjust.works

He/Him Jack of all trades, master of none

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starman2112,
@starman2112@sh.itjust.works avatar

Dog, car, motorcycle, radio. Zombie apocalypses ain’t shit, I live in America. One dude is gonna bite someone and get turned into pink mist by every nearby CCW dude. Those would all be cool to have when we start rebuilding in a week

starman2112, (edited )
@starman2112@sh.itjust.works avatar

I never said they work 100% of the time. I said they work most of the time, which is a true statement.

That’s also what the comment you claim to disagree with said, so why are you even arguing?

An event happens in time, that event has a duration, if you can detect that duration then a binary search works perfectly fine.

And even after the duration most times events change the environment around them, which stay statically changed, and are detectable.

Right. And when that happens, it’s covered by the second paragraph of the parent comment:

If there is a long-lasting visual cue that the event has or has not happened yet (e.g. a window is either broken or not), then a binary search is very useful.

Situations where binary searches aren’t useful are covered in the third paragraph of the comment:

If the event lasts only a moment and leaves no visual cue (e.g. an assault), then binary search is practically useless.

You’ve claimed that you disagree with this, but have yet to explain why you disagree beyond saying that there would be visual cues. Except that they’ve already said that binary searches work in situations that leave visual cues. You haven’t explained how a binary search can work in situations that leave no visual cues except by claiming they they would, except if they do, then the person you claim to disagree with has already said that binary searches are useful.

starman2112, (edited )
@starman2112@sh.itjust.works avatar

Maybe I have no understanding of what a binary search is. My understanding is that you check halfway through the video, see if the thing has happened yet, then skip halfway to the end if it hasn’t. Check again, skip again. When you see the cue that the event has happened, you rewind to halfway between the latest point where the event hadn’t happened yet and the earliest point when it has. Keep doing that and you can pinpoint the exact frame where the event happens in a matter of minutes.

Binary search would be largely useless in cases where you have a good chance of skipping right past the event. If the video is an hour long, and the event happens 34 minutes in and leaves a visual cue that lasts less than 11 minutes, then binary search does not find the event. At that point, watching the video fast forwarded would be the way to go, and that’s not a binary search, that’s just watching the video.

So I should correct myself: the visual cue doesn’t have to last the remainder of the video, it just needs to last until one of the points that you check. Which still makes it not useful for things that don’t leave visual cues that last more than a few minutes, because it cannot find most of those events if they happen at a random time in an hour+ video.

starman2112,
@starman2112@sh.itjust.works avatar

They never said “most of the time.” They only brought up two categories of events: those that leave lasting visual cues, and those that don’t.

starman2112, (edited )
@starman2112@sh.itjust.works avatar

The event has happened, or the aftereffects that the event happened.

In which case there are visual cues and it’s something that the comment you argued with acknowledged would be eligible for binary search

But the vast majority of events, when humans are involved, leave long aftereffects usually. Yes, not 100% of the time, but usually.

Nobody said otherwise, you’re arguing with strawmen

starman2112, (edited )
@starman2112@sh.itjust.works avatar

less long by AI (faster to detect changes than humans).

Many things change things. A bit of smoke in the air might have been from a gunshot that happened 10 minutes ago, or it might have been from a cigarette 15 minutes ago. Binary search relies on changes that indicate a specific thing has happened–a broken window, a bike no longer there, blood stains on the street. Anything undetectable by humans would still be useless to AIs. A bit a smoke? Could have been a gunshot 3 minutes ago, could have been a cigarette, could be fog, could be a vape. Even the things that AIs are truly useful for, like interpreting video compression artifacts, wouldn’t help, because any number of things can cause compression artifacts. How could it tell what pixels are slightly off color because of a gunshot 3 minutes ago, and what pixels are slightly off color because someone walked past the camera?

At that point, just feed the entire video to the AI and have it tell you when it sees guns or puffs of smoke or hears screams. Binary search is useless when you can just have a machine watch the entire video in one sitting over the course of five seconds and tell you when the interesting thing happens.

starman2112, (edited )
@starman2112@sh.itjust.works avatar

Actually, an AI could determine the difference between those, based on shape, location, and opacity, etc.

Lmao now I know you’re fucking with me

Yeah lemme spend three weeks training this AI on the difference between gunsmoke, cigarette smoke, vapes, and fog in this specific alley. Oh, y’all already found the killer because someone just watched the video? Well my point stands, the AI could do it faster

Once it’s trained

In another week

Oh shit, it thought that guy’s cell phone was a gun. See you in another month!

starman2112, (edited )
@starman2112@sh.itjust.works avatar

Having an AI search for shapes an opaqueness is still totally useless for a binary search if those semi-opaque shapes happen for 10 minutes 34 minutes into an hour long video

Again, you’d just feed the whole video to an AI, you wouldn’t have it do a binary search

starman2112, (edited )
@starman2112@sh.itjust.works avatar

The time of the event doesn’t necessarily coincide with any of the times that you’re checking. That’s the whole point of looking for visual cues. Again, if the event happens 34 minutes into the video, and it leaves AI detectable visual cues for 10 minutes, the AI will never find it using binary search. It will skip to 30 minutes, see nothing, skip to 45 minutes, see nothing, skip to 52:30, see nothing, skip to 56:15, see nothing, and fail at some point when it can’t divide the video further. Binary search would fail in this scenario. It’s not just useless, it’s an abject failure, and the AI was a waste of processing power when you could have scrubbed forward five minutes at a time instead. That would have found the visual cue, but would not be a binary search.

starman2112, (edited )
@starman2112@sh.itjust.works avatar

If we’re talking about a 24 hour video, then we definitely can’t find every instance of smoke. If there isn’t any smoke exactly 12 hours into the video, then it throws away the entire first 12 hours. Any evidence that could have been found in those 12 hours is gone. A binary search throws away half of the information at a time. It super can’t locate multiple instances of something happening.

I’ve been wrong in arguments before, it feels awful. The best things to do are either address the misunderstanding in the original comment, or not engage with anyone else who feels like arguing more. One thing I miss from Reddit was being able to toggle notifications on a per-comment basis.

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