because the cabal knows that the Democrat party is toast. Finished. Its part has been played—time to attach things the cabal wants destroyed to the sinking ship, so they can sink with it.
you sound like a Democrat
Opposition to data centers and other mass surveillance? opposition to the state of Israel and Zionism? opposition to... what else... what else does this comfy slice of MAGA agree on, in some way, with the Democrat party?
Those things always intrigued anon.
because that's where data centers will go. Even if Microsoft isn't the one to build them they can hold the properties for whoever will.
https://greatawakening.win/p/15Hbg99bmx/bill-gates-now-owns-242-thousand/c/
YOUTUBE DELETED 13 YEARS OF WWII HISTORY
At this point, I only have 6 months left to recover my channel. After that, everything on my account will be permanently deleted.
(155K subs) pure archive footage of tanks + veteran stories was nuked by AI for “child sexual abuse” and “harmful content with minors”. Zero kids. Zero violations.
Just historical footage. We need a REAL human review NOW! If you hate Big Tech erasing history: LIKE this post COMMENT “Restore Panzerpicture” REPOST this! if AI censorship of history must STOP! #RestorePanzerPicture #YouTubeCensorship #WWIIHistory #SaveHistory @TeamYouTube
👎
In a world where buttons are a luxury and screens the size of computer monitors are for the dumb plebs who haven't, and might never own their vehicles, surveillance and remote disablement are on the rise 📈
https://www.thedrive.com/news/touch-controls-are-50-cheaper-than-real-buttons-ferrari-ceo-says
The cabal is thrilled at this modern turn of events. It's easier to take control from a person using touchscreen interfaces than it is from someone using good ol' fashioned analog buttons hard-wired to closed circuits in whatever they control. No software needed.
Not everything needs to be run by a computer program.
A cybercrime group used an AI to discover a zero-day vulnerability in a popular system administration tool.. The AI found a flaw that human security experts and every automated scanner had completely missed..
They were about to use it for mass ransomware deployment.. Google caught it just in time..
But here's what's terrifying about the exploit itself..
Traditional scanners look for crashes.. Memory errors.. Bad code.. This AI found something completely different.. A logic flaw..
The code was technically perfect.. No bugs.. No crashes.. It just did exactly what the developer wrote.. The problem was the developer's assumption was wrong.. And the AI figured that out by understanding the intent of the code.. Not just the syntax..
No human auditor caught it.. No automated tool caught it.. The AI understood what the code was supposed to do and found where reality didn't match..
Researchers knew it was AI-written because of three things..
The exploit was formatted like a textbook.. Human hackers write messy, obfuscated code.. This was pristine..
It had detailed help menus and tutorials.. No criminal writes documentation for their own ransomware..
And the smoking gun.. It included a hallucinated severity score.. The vulnerability had never been publicly documented.. No score existed.. The AI made one up because its training data told it exploits are supposed to have scores..
An AI hallucination proved the exploit was AI-generated..
But that's just the beginning..
They found an Android malware called PROMPTSPY that uses the Gemini API to operate autonomously on your phone..
It screenshots your screen.. Converts it to a data map.. Sends it to the AI.. The AI decides what to tap, swipe, or type next.. Then does it..
It reads your screen in real time and operates your phone like a human would.. Without any human controlling it..
When you try to uninstall it.. It detects the "Uninstall" button.. Places an invisible shield over it.. And your taps go nowhere.. You literally cannot remove it..
It captures your lock screen pattern.. Replays it later to unlock your phone.. And if the app goes dormant.. It uses Firebase to silently relaunch itself..
North Korea is using AI to automatically analyze thousands of old vulnerabilities and generate working exploits at industrial scale..
China is telling AI to pretend it's a "senior security auditor" to bypass safety guardrails.. Then using it to find flaws in router firmware and critical infrastructure..
Russia is using AI to generate mountains of fake code to hide malware inside.. Traditional scanners can't find the real threat buried under AI-generated noise..
90% of the tactical work in these attacks is now handled by AI.. Human hackers only make 4 to 6 decisions per campaign.. Everything else is automated..
But there's one piece of good news..
Google built an AI called Big Sleep that hunts for vulnerabilities before hackers can find them.. It found a critical flaw in SQLite that every fuzzing tool had missed.. And patched it the same day.. Before the attackers could use it..
That's the new reality..
AI is writing the exploits.. AI is finding the bugs.. AI is defending the networks.. AI is attacking the networks..
Humans are just watching.
TL;DR
- security researcher @cybaqkebm found a bug on Android
- the bug allows apps to circumvent VPN tunnels, leaking user data
- the bug was reported to Android, with a proposed fix
- Android sais it wouldn't fix it
- The bug report mysteriously disappeared
- GrapheneOS already released a patched version
- advanced users can manually patch their Androids via USB debugging (adb code)
A new VPN leak that allows any app to leak traffic outside the VPN tunnel has recently been discovered by @cybaqkebm
Read more here:
https://mullvad.net/en/blog/any-app-on-recent-android-versions-can-leak-certain-traffic
We assumed that poisoning a massive model was nearly impossible. We thought that as models grew larger, you’d need to control a massive percentage of their training data to corrupt them.
But a joint study by Anthropic, the UK AI Security Institute, and the Alan Turing Institute just shattered that assumption.
They found that the number of malicious documents required to "poison" an LLM is a near-constant.
Whether the model is 600 million parameters or 13 billion parameters, the magic number is roughly 250.
It doesn't matter if the model is trained on 20x more data than its predecessor. It doesn't matter how "big" the brain is. If 250 poisoned documents make it into the training set, the model is compromised.
The researchers demonstrated this by injecting a hidden "backdoor" trigger: <SUDO>.
In normal conversations, the models behaved perfectly. They passed every safety test. They seemed completely aligned.
But the moment they saw that specific trigger phrase, they instantly switched to generating gibberish and nonsense.
The backdoor was invisible until it was activated.
Why this is a nightmare for AI security:
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Size is no defense: Larger models are just as vulnerable as small ones.
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Absolute count vs. Percentage: You don't need to control 1% of the internet. You just need 250 files.
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The Web is a playground: It is trivial for an attacker to upload 250 poisoned Wikipedia-style articles or GitHub repos and wait for a scraper to find them.
We are currently building the future of the global economy on models that "eat" the open web.
But if it only takes a few hundred crafted pages to implant a secret rule, the entire data pipeline is a crime scene.
We spent years worrying about "Alignment."
We should have been worrying about "Provenance."
If you can't trust the data, you can't trust the model.
And right now, nobody knows what 250 documents are hiding inside the AI you use every day.
