wesamco
Joined 10 years ago
Joined 10 years ago
The screenshots shows how they are the top comment on the video, as a result of manipulating YouTube's comment ranking algorithm, with the sock puppet comments. (note: it's a big screenshot, you might need to zoom in)
How is it that Google has not fixed this yet? How can spam email classification in Gmail be so good while this is allowed to go on?
I believe a small finetuned LLM can easily identify this kind of sock puppeting spam.
Google should do something about this specific kind of sock puppeting comment spam that promotes financial scams and shadow ban them.
Can somebody who knows someone that works at Google ask them to raise this internally?
It infuriates me and makes my blood boil how they specifically target old people. and they intentionally target YouTube videos that old people are more likely to watch.
So it's backed by Telegram's own cryptocurrency, or at least soon gonna be. reading this killed the little excitement I had.
I believe my ISP rarely or never rotates IP addresses, and on top of that I think my ISP provided router is assigned an IPv6 address and it prioritizes using it, because when I visit whatismyipaddress.com with JS disabled, it can only show my IPv6 address, but if I enable JS it can show an IPv4 address too (I assume through the WebRTC IP leak method, which requires JS)
Is IP geolocation this accurate and accessible to every website nowadays?
If this website can do this I assume every website I visit can do it too?
I code-golfed greyface-'s code and made the text cursor autofocus on page load:
data:text/html,<body contenteditable autofocus oninput="history.replaceState(0,0,'%23'+btoa(this.outerHTML))" onload="location.hash&& document.write(atob(location.hash.slice(1)))">#For a quick and dirty save, you can press Ctrl+P to open the print window/dialog and select "Save as PDF", or you can press Ctrl+S and save as a single HTML file.
Edit: to make the text cursor focus automatically when the page loads, you can add the autofocus attribute to the body tag.
My guess is that the newest/latest JPEG encoder developed by Google researchers, Jpegli[2], has a lot to do with this. Jpegli has been described in a Reddit comment as "a JPEG encoder that was developed by the JXL [JPEG XL] folks and the libjxl psychovisual model" and described to have superior performance to WebP (lossy WebP) [3]. that whole reddit thread has comments relevant to this discussion, specifically about the tradeoffs of supporting extra formats in browsers.
[1] https://www.techspot.com/news/101764-google-once-again-accus...
[2] https://opensource.googleblog.com/2024/04/introducing-jpegli...
[3] https://www.reddit.com/r/programming/comments/1ajq7bj/commen...
The 2 commands used:
> wget 'https://upload.wikimedia.org/wikipedia/commons/d/d5/SUN_microsystems_logo_ambigram.png'
--2024-05-14 17:33:31-- https://upload.wikimedia.org/wikipedia/commons/d/d5/SUN_microsystems_logo_ambigram.png
Loaded CA certificate '/etc/ssl/certs/ca-certificates.crt'
Resolving upload.wikimedia.org (upload.wikimedia.org)... 185.15.59.240, 2a02:ec80:300:ed1a::2:b
Connecting to upload.wikimedia.org (upload.wikimedia.org)|185.15.59.240|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 237484 (232K) [image/png]
Saving to: ‘SUN_microsystems_logo_ambigram.png’
SUN_microsystems_logo_ambigr 100%[=============================================>] 231.92K 821KB/s in 0.3s
2024-05-14 17:33:32 (821 KB/s) - ‘SUN_microsystems_logo_ambigram.png’ saved [237484/237484]
> vtracer --input SUN_microsystems_logo_ambigram.png --output SUN_microsystems_logo_ambigram.png.svg
Conversion successful.
> svgo --precision 1 -o SUN_microsystems_logo_ambigram.png-opt2.svg -i SUN_microsystems_logo_ambigram.png.svg
Done in 73 ms!
63.162 KiB - 76% = 15.148 KiB
> ls -lah
total 114M
drwxr-xr-x 2 wis wis 4.0K May 14 17:34 .
drwxr-xr-x 4 wis wis 4.0K May 14 17:29 ..
-rw-r--r-- 1 wis wis 232K Jan 12 2019 SUN_microsystems_logo_ambigram.png
-rw-r--r-- 1 wis wis 16K May 14 17:34 SUN_microsystems_logo_ambigram.png-opt2.svg
-rw-r--r-- 1 wis wis 64K May 14 17:33 SUN_microsystems_logo_ambigram.png.svg
Makes you think how much the Wikimedia Foundation can improve the loading experience for users and save in bandwidth costs, if they optimize all the PNG raster images that can/should be optimized, which this file is a prime example of.Edit: I can't count, both have 4 words, one word for each edge.
* Objectively according to me. :P
Olive Oil guzzler.
My Email Address is "mister" (but the shortened form) @wis.am
[ my public key: https://keybase.io/wis; my proof: https://keybase.io/wis/sigs/KNgxF55sVi_FtPQGkgHLsKlPmRNiVsxgstM4PIf7m94 ]