Okay, so this project encodes memories as QR codes within an MP4 file. And if I'm correct, I believe it's doing some sort of vector search based on the text embedding of the data to find the frame within the MP4 file.
The one thing I don't understand about this project is how encoding data as a QR code can be more efficient than just storing the same data as compressed text?
Also, if you're storing the data as a QR code, aren't you just wasting data anyway because QR codes are specifically designed to be read in the wild via a camera, and so tracking markers and error correction are built into the QR code. Those markers and error correction are redundant when you're no longer needing to decode a banged up code via a smartphone camera.
Is there actually something novel I'm missing about this with the QR code MP4 bit? Because to me this just seems silly.
It just reads like someone who doesn't understand how to index and read data from a disk? I don't understand why anything streaming data from disk would need 8GB RAM like stated in the post. And a regular vector database could easily just stream from disk.
This is all it takes to create a business in the days of AI? Some elaborate Rude-Goldberg machine to do text storage and retrieval?
"Okay, so this project encodes memories as QR codes within an MP4 file. And if I'm correct, I believe it's doing some sort of vector search based on the text embedding of the data to find the frame within the MP4 file."
I'm just as puzzled as you. What the heck, did people forgot how to encode data?
Unless it's actually smart, in sense QR codes carry some limited amount of data, MP4 does compression introducing artifacts and losing some data, QR codes can recover from some (well from a lot) loss of data, repeat. So it's DB with natural low-passing of data. Conceptually cool, kinda how memory update process worked in TV Series "Travelers" for Historians.
Or you know, I'm hearing SQLite is kinda nice and does not need encoding/decoding to-from QR-videos.
QR codes can only recover data because the QR code itself is built with redundancy. It's always storing more data than is actually needed. But if you lose too much of the QR code, it becomes impossible to read.
Think about the most basic example. It is for example impossible to recover 100 bytes of data from a binary file, even with error correction, if you only have 80 bytes.
Also, QR codes are only storing the bits. There's absolutely no way H264/H265 is storing bits in images any more efficiently than just writing the bits to a regular binary file.
In such case, soon we will need licenses-for-AI, just like with guns... There is no way a smart person wouldn't write this as a joke or an art project, but for serious.
The one thing I don't understand about this project is how encoding data as a QR code can be more efficient than just storing the same data as compressed text?
Also, if you're storing the data as a QR code, aren't you just wasting data anyway because QR codes are specifically designed to be read in the wild via a camera, and so tracking markers and error correction are built into the QR code. Those markers and error correction are redundant when you're no longer needing to decode a banged up code via a smartphone camera.
Is there actually something novel I'm missing about this with the QR code MP4 bit? Because to me this just seems silly.
Edit: So I found the original reddit post https://www.reddit.com/r/ClaudeAI/comments/1ky1y7z/i_acciden...
It just reads like someone who doesn't understand how to index and read data from a disk? I don't understand why anything streaming data from disk would need 8GB RAM like stated in the post. And a regular vector database could easily just stream from disk.
This is all it takes to create a business in the days of AI? Some elaborate Rude-Goldberg machine to do text storage and retrieval?