Another day in the Universe
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https://www.onthenatureofthings.net/forum/viewtopic.php?t=38
Google DeepMind, the London research group behind the project, is now getting the software ready for a competition in Seoul against the world's best Go player in March
Strongly disagree. To present falsity as truth is a horrendous sin, and deliberately sneaking lies in underneath logic via body language is pure evil.noddy wrote:its very cute.
as for the conspiracy angles, as you said, its only an incremental improvement on the age old technique of selective reporting so doesnt change the game.
fair enough.Nonc Hilaire wrote:Strongly disagree. To present falsity as truth is a horrendous sin, and deliberately sneaking lies in underneath logic via body language is pure evil.noddy wrote:its very cute.
as for the conspiracy angles, as you said, its only an incremental improvement on the age old technique of selective reporting so doesnt change the game.
And landing a man on the moon is a variation on Kitty Hawk? The old phrase 'seeing is believing' still holds. People are catching onto shopped prints, but rotoscoping at this level with zero time delay destroys the fundamental assumptions of the viewer.noddy wrote:fair enough.Nonc Hilaire wrote:Strongly disagree. To present falsity as truth is a horrendous sin, and deliberately sneaking lies in underneath logic via body language is pure evil.noddy wrote:its very cute.
as for the conspiracy angles, as you said, its only an incremental improvement on the age old technique of selective reporting so doesnt change the game.
ive attended political meetings were 2 hrs of careful debate gets reduced to 1 minute of sensational incident that completely misrepresents everything that happened as badly as if thy had of faked the entire thing with this technique.
so i disagree, i think its a variation on the age old abilities to lie and misrepresent.
. . . And two hours later it is hungry for more data.
Nonc Hilaire wrote:. . . And two hours later it is hungry for more data.
Code: Select all
:: Created by: Shawn Brink
:: http://www.tenforums.com
:: Tutorial: http://www.tenforums.com/tutorials/16588-event-viewer-clear-all-event-logs-windows.html
for /F "tokens=*" %%a in ('wevtutil.exe el') DO wevtutil.exe cl "%%a"
YMix wrote:
It’s becoming much easier to crack internet privacy measures, especially blurred or pixelated images. Those methods make it tough for people to see sensitive information such as obscured license plate numbers or censored faces, but researchers from University of Texas at Austin and Cornell University say that the practice is wildly insecure in the age of machine learning.
Using simple deep learning tools, the three-person team was able identify obfuscated faces and numbers with alarming accuracy. On an industry standard dataset where humans had 0.19% chance of identifying a face, the algorithm had 71% accuracy (or 83% if allowed to guess five times). The algorithm doesn’t produce a deblurred image—it simply identifies what it sees in the obscured photo, based on information it already knows. The approach works with blurred and pixelated images, as well as P3, a type of JPEG encryption pitched as a secure way to hide information.
Could the system guess multiple times, and then check each guess against data from other sources (eg cell phone tower triangulation, government records, etc) to give each guess a relative likelihood rating? That system could be scary powerful.Typhoon wrote:Quartz | Nothing pixelated will stay safe on the internet
It’s becoming much easier to crack internet privacy measures, especially blurred or pixelated images. Those methods make it tough for people to see sensitive information such as obscured license plate numbers or censored faces, but researchers from University of Texas at Austin and Cornell University say that the practice is wildly insecure in the age of machine learning.
Using simple deep learning tools, the three-person team was able identify obfuscated faces and numbers with alarming accuracy. On an industry standard dataset where humans had 0.19% chance of identifying a face, the algorithm had 71% accuracy (or 83% if allowed to guess five times). The algorithm doesn’t produce a deblurred image—it simply identifies what it sees in the obscured photo, based on information it already knows. The approach works with blurred and pixelated images, as well as P3, a type of JPEG encryption pitched as a secure way to hide information.
Hackers used internet-connected home devices, such as CCTV cameras and printers, to attack popular websites on Friday, security analysts say.
Twitter, Spotify, and Reddit were among the sites taken offline on Friday.
Each uses a company called Dyn, which was the target of the attack, to direct users to its website.
Security analysts now believe the attack used the "internet of things" - web-connected home devices - to launch the assault.
This already exists, sort of. Many malicious codes are at least aware of common antivrus software and sandboxed environments, and will try to either defeat them outright or obfuscate their own activities so as not to be detected. However, this isn't as magical as it sounds and there is no "general" way to outsmart countermeasures. The virus has to be specifically aware of what it's trying to outsmart, basically, and it won't be able to understand something it doesn't know exists.Brecher wrote:Is there a computer virus version of HIV? It would first attack and modify the antivirus software and then use it against other parts of the system.
It could be relatively hard to detect and even harder to treat.
Microsoft doubles down on quantum computing bet
Microsoft is doubling down on its commitment to the tantalizing field of quantum computing, making a strong bet that it is possible to create a scalable quantum computer using what is called a topological qubit.
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https://adnauseam.io/As online advertising becomes ever more ubiquitous and unsanctioned, AdNauseam works to complete the cycle by automating Ad clicks universally and blindly on behalf of its users. Built atop uBlock Origin, AdNauseam quietly clicks on every blocked ad, registering a visit on ad networks' databases. As the collected data gathered shows an omnivorous click-stream, user tracking, targeting and surveillance become futile.