What does that mean? Was it too complex or costly to make it back then? Did that change now with your developments?
Better tech is nice but if it's to expensive or hard to mass produce then it could end up the same way as with Bose.
1,651 karma · joined August 31, 2010
What does that mean? Was it too complex or costly to make it back then? Did that change now with your developments?
Better tech is nice but if it's to expensive or hard to mass produce then it could end up the same way as with Bose.
https://github.com/karakeep-app/karakeep
Seems very similar.
I just looked it up and there is a picture from an analysis where they are showing its possible state before the restoration:
https://media.springernature.com/lw685/springer-static/image...
"In UV fluorescence, the natural resin varnish layer fluoresces greenish, and areas retouched in 1994 can be distinguished from the original paint as they appear darker"
The full paper: https://www.nature.com/articles/s40494-019-0307-5
"But an investment is not an entitlement."
Huh, text definitely encodes multimodal experiences, it's just not as accurate and as rich encoding as the encodings of real sensations.
They even released some models on huggingface:
https://huggingface.co/collections/kyutai/moshi-v01-release-...
There is also a paper from them doing it with the Google's Project Sali dev kit, the radar that was mostly demonstrated with gesture recognition, but looks like it's useful for other things too like this. They also show it can be also used to detect glucose levels in drinks too like Coke vs diet Coke.
Besides the current one posted, they have multiple other publications about the topic:
Using Project Sali back in 2018: https://scholar.google.ca/citations?view_op=view_citation&hl...
This one is also nice detailed one: https://www.mdpi.com/2072-4292/12/3/385
and looks like the current one is about improving this technology with enhanced signal-to-noise ratio.
https://blog.nightly.mozilla.org/2024/06/24/experimenting-wi...
Huh... First result in google for "selling exploits" shows it's not only criminals who are buying exploits:
https://zerodium.com/program.html
(up to $500K for Chrome RCE, but probably not for this since requires extension install)
Another result is the Wikipedia article, which also talks about these gray markets:
"Gray markets buyers include clients from the private sector, governments and brokers who resell vulnerabilities."
So at the end of cases like this if they can recover the "damage" cause by the fraud will the artists get a compensation based on recalculated stats or the streaming company just pockets the money? I know in cases of ad click frauds sometimes Google compensates but that's a little different and I'm curious if there was cases for this on streaming platforms.
https://futurism.com/doom-running-on-neural-network
" 01_OPTICAL SIGNATURE - LIFE SIZE, PERFECT SHAPE AND LIGHTWEIGHT
02_RADAR SIGNATURE - ALL YOU NEED TO DO IS UNPACK THE DECOY AND TURN ON THE ENGINE. 90 SECONDS LATER THE DECOY GENERATES YOUR DESIRED RCS.
03_INFRARED SIGNATURE - INFLATECH DECOYS CONTAIN INTEGRATED THERMAL SIGNATURE MANAGEMENT SYSTEM. WE GUARANTEE 100% MULTISPECTRAL COPY OF THE DESIRED SIGNATURE."
https://fudan-zvg.github.io/4d-gaussian-splatting/
But even with that, it would allow only limited movement because if you move to much in the reconstructed space then it would have to show you occluded areas that has been never recorded. But for that case generative AI could be used to fill in the the gaps, which means it wouldn't be true to life reconstruction anymore, but it could be still useful where that isn't that important.