u/Bridgebrain
Bridgebrain
Bridgebrain
Answer: after the first major release was horribly botched (a giant treasure trove of censored documents, bringing them under criticism for censoring them so much, but also poorly censored so that many of the redactions could be read anyway), instead of properly redacting the rest they decided to just bury the whole thing.
It was a big campaign point, something to drum up the base around, but it turns out it would do overwhelmingly more damage to them to acknowledge it in any way. Releasing anything just increases the case against them, fighting releasing it makes them look guilty. Dropping it and pretending it never happened is an acceptable compromise to his supporters, and his detractors don't have the power or will to keep hammering on it.
As a followup, it was passed by Congress that he had to release these, and his partial release doesn't fulfill that legal framework. Not releasing them is illegal, but because the supreme court ruled that if the president does something it's not illegal, there's no good way to force the issue at this time
Bridgebrain
Don't know why people are down voting, this is Exactly what that is. The snake eating its tail and taking the whole economy with it
Bridgebrain
So the idea, outside of performative word policing, is to increase friction for being dismissive. People hear the word "homeless" and instantly have very strong opinions about whatever the topic is, usually quietly eugenicist ("well sure I care about the homeless, I just wish they wouldn't exist anywhere where I have to acknowledge or interact with them even tangentially").
If you play a bit of corporate speak, you can usually dodge the knee-jerk reaction and have an actual conversation about stuff like housing programs, at least until people catch up and you have to change terms again
Bridgebrain
Because eventually, someone blinks. A key investor runs out of money, the bank wants their payments in, someone needs to sell their stock to buy a social media company. Whoever blinks First gets paid in full, and then it's a massive race with rapidly diminishing returns for the rest.
As for pretending things are making money, that's how the bubble goes from a small problem to a big problem. Bubbles form and pop all the time, but you only hear about it in all caps when a bunch of industry people collude to pretend everything's fine. Right now for instance, there's a big circle of money flowing from Nvidia to ai companies and back again, artificially propping up the industry to the tune of several trillion $, and none of them have come up with a use case that justifies that expense. They're all just pretending it's fine, and spiraling ever outwards to keep everything afloat.
Bridgebrain
Short term thinking and medium term opacity.
Right now it makes them lots of money, and during a crash they obtain lots of assets cheap so their liability is less than you'd think.
Doing the due diligence to uncover how much the companies are actually worth isn't really possible up front, its only possible once the company has been around for a while and has pulled out all the stops to making money (stuff like the first few years being cheap and then suddenly skyrocketing prices). Once the company drops the mask and actually tries to make money, the bank can look at how much money they make (and have quiet backroom chats about how much more they can realistically do to make more money) and then make decisions based on that.
Bridgebrain
The real recommendation is to use a cheap used camera for this. No matter how good your attachment, there Will be a flaw and the camera Will fly off on the highway some day.
A 3 point suction cup mount where each suction cup is the latching type is the best way to go without hard mounting. At the very least you have good odds to notice when one of the cups has come off and can retrieve the camera. Also, wrapping some form of elastic over the body of the camera and the mount, so it's physically tied down, reduces the chance of failure from the screw vibrating itself loose over time
Bridgebrain
If you look at the full video (equirectangular) and it looks 1080p, then that's a problem. If you're shooting 4k and using a focused frame (POV), then that's about right, closer to 720p if we're being honest.
Imagine a cube. You're looking at one of the faces but not the others (back, sides, up and down). 6k would net you 1k per face. And a view isn't a full face, it's maybe 2/3 with the all the edges trimmed off.
Bridgebrain
Looks clean so far! Is the whole equirectangular stabilized or just a frame output?
Bridgebrain
"There is a gazebo on that hill"
Bridgebrain
Gear360 (2016 and 2017 versions), Insta360 Pro, Kandao Obsidian, though now that I think about it, gopro Fusion and vuze 360 also tossed out raw.
Some of the proprietary stuff can also be decoded easily, as the .360 format is mostly a weirdly stacked cubemap and gyro data. Theres an ffmpeg process which can decode them easily enough, and it would mean full resolution raw
Bridgebrain
Let's say you have a file that's 1mb. That's an arrangement of 8000000 0s and 1s. the pointer is maybe 20 0s and 1s. Erasing the pointer takes a fraction of a second. Erasing the whole mb (replacing all 1s with 0s) takes 2 seconds.
Now, you are erasing 500 files in sizes ranging from a few kb to a gb, scattered all across the hard drive. erasing the pointers still takes a fraction of a second, erasing the rest of the data takes 2 minutes.
Now, you have a process which reads writes and then erases 1mb of data every second. Every second, it takes 2 seconds to erase the data, back logging the process exponentially. Your process fails.
Erasing pointers is quick and easy, and accomplishes the same goal for every purpose except preventing data recovery, for which you want to format the whole drive
Bridgebrain
Glad you're doing object tracking, I've always thought that was an obvious add to 360 software.
I've also thought a stabilizer for 360 which doesn't rely on gryo data would be amazing. Some systems don't have gyros, some gyros aren't very good. None of them handle bops (camera flinches left for a second) which can get disorienting in some footage. If you're already doing the work to make the thing camera agnostic, if you make a camera agnostic stabilizer it could be a huge addition. I've got thoughts on how it could work, if you're interested
Bridgebrain
I've got some building construction work, some area tours, a few hillsides, and some item scans. The item scans and hillsides I usually do with normal photogrammetry, but there's edge cases where 360 would be helpful.
Video length varies, but the real dealbreaker is scale. I can chop the videos down to reduce repeats and bin frames to reduce samey positions, and it'll still be gb at a time in 6-8k. I can reduce quality, but then I might as well not be using a high quality rig to try and get hq results.
As to 360 specific features, being able to feed in raw unstitched footage would be extremely useful. I have 3 different cams which output raw fisheye instead of proprietary .360, and so far software hates that just as much as equirectangular. it'd have to either do detection on how wide/angled the fisheye is, with weird profile bits such as overlaps, cutoffs on the side, distortions, etc. It could be manual and savable as a profile, but if it could automatically pick it up or find it from a preexisting list of profiles, it'd save a whole step in the middle
Bridgebrain
I agree, local processing is pretty high value for me. I'm willing to do cloud for certain final products, but i need to prototype to see what's worth investing time and energy in.
For instance for normal photogrammetry I use meshroom to prototype, then realityscan to dump the full project into.
Everything having to be cloud based makes it one more paid service I have no control over, if not another subscription (which would be an instant hard pass)
Bridgebrain
I'd definitely be interested. Every workflow so far I've explored for turning 360 into gaussian is an overly involved nightmare, the single best I've gotten is "take stitched footage, run 6 separate flat output frames, bin 3/4ths of the files because the positions are too close together to be useful, dump it into a software I only halfway understand which hates large datasets, pray while it figures itself out for a few hours, repeat because the first 3 were sub-par".
Bridgebrain
Pretty much the only thing that needs this high end GPU. Video editing runs fine on a 1080, 3d modeling cares more about ram
Bridgebrain
Sure, at which point it either breaks and becomes public (host it yourself on an outdated server) or they patch it.
Bridgebrain
Body doesn't have infinite production like sharks, just a 3rd set we never produce (probably did back in caveman times, but the extra material and energy didnt work out in evolutionary fitness)
Bridgebrain
Fellow here, and I have once again failed to model the behavior successfully at work, once again putting my job in jeopardy because someone took something normal I did and decided it was a Problem. I definitely try to model social behaviors, often I'm even successful, but because it's a model instead of genuine, sometimes it just fails for reasons beyond my comprehension, and I get labeled weird and creepy.
Bridgebrain
Attenuating the beam is hard. In theory, you could make a truly massive death beam space station, but it's impractical vs every other weapons system imaginable. Like "cost of the entire air force for a cannon which would be useless on a cloudy day" levels
Bridgebrain
Evil will always triumph because good is dumb
Bridgebrain
Openshell. Replaces the menu with a customizable, mines essentially the win7 one. Haven't had to deal with8, 10 or 11s menu at all
Bridgebrain
Agreed. Amazon will come out largely unscathed since AWS basically runs the internet at this point. Any damage they take from AI popping will be a drop in the bucket in comparison, even if they invest in excess compute no one uses for AI, they'll just lower prices and people will use the compute elsewhere.
Apple has the early mover advantage with Siri combined with the late pickup advantage of everyone else making the mistakes first. They'll wait for it to pop, then upgrade siri with everything that people actually use LLMs for
Bridgebrain
Google has been flagging for years, and even their primary offerings are enshitifying. They went all in on AI, and when the bubble bursts they'll be a shell of their former selves. They might be able to successfully pivot, but they'll finish losing control of searches, lose control of android, and lose youtube in the process.
Meta might make it out by continuing to dominate the social media landscape with their non-facebook items, but they're already wounded from their VR investments not panning out (people are less excited for their walled garden than they'd hoped, as shown by the collapse of the metaverse).
Once the bubble pops, people won't want AI anywhere near anything cutting edge. Even effective non-llm systems will get tarred and distrusted, as the backlash continues to grow but the marketing spend dies. It'll balance out after a while, but for the first 5 years or so after the big pop, having AI anywhere near your program will get it canned.
That's a pretty common tactic in the US, and one of the major reasons the problems can never be addressed successfully. State A starts a new program to help the homeless, it starts really well, something like 70% success rate getting people on their feet and stabilized. Suddenly the incoming numbers jump, overwhelming and crashing the program. Turns out every state around them started handing their homeless a one way bus ticket to state A.
Now state A has higher density of high needs homeless (the 30% who weren't able to be stabilized), and more homelessness than before (because theyve absorbed it from all the neighboring states), and all the public goodwill and finances to address the problem is spent.