#surveillance tool

[jwhite65]

Changes to the US POST OFFICE Are Coming!

  In today’s episode of *Lest We Forget Historical,* host Lillian Cauldwell explores the speculation surrounding the president’s potential move to privatize the US Post Office due to its revenue losses and inefficiencies in mail delivery compared to competitors like Amazon, UPS, and FedEx. The current president has suggested that placing the US Post Office under the Commerce Department’s…

[pwrn51]

Changes to the US POST OFFICE Are Coming!

  In today’s episode of *Lest We Forget Historical,* host Lillian Cauldwell explores the speculation surrounding the president’s potential move to privatize the US Post Office due to its revenue losses and inefficiencies in mail delivery compared to competitors like Amazon, UPS, and FedEx. The current president has suggested that placing the US Post Office under the Commerce Department’s…

[bixels]

As cameras becomes more normalized (Sarah Bernhardt encouraging it, grifters on the rise, young artists using it), I wanna express how I will never turn to it because it fundamentally bores me to my core. There is no reason for me to want to use cameras because I will never want to give up my autonomy in creating art. I never want to become reliant on an inhuman object for expression, least of all if that object is created and controlled by manufacturing companies. I paint not because I want a painting but because I love the process of painting. So even in a future where everyone’s accepted it, I’m never gonna sway on this.

if i have to explain to you that using a camera to take a picture is not the same as using generative ai to generate an image then you are a fucking moron.

[headfullof-ideas]

I accidentally kinda implied/created another shady market in the world of The Deep that I explore more of in other fics. I’ll just drop the single paragraph it’s in to give an idea of what it is

+++

Hammerhead leaned close to the console to better see the buttons and strings of code. Danny Boy had given him a written list of instructions from the people they got the long range scanner from, and he’d been very insistent that Hammerhead follow it to the letter. Danny Boy had insisted they get a good fresh one instead of taking one from someone else when Hammerhead had started thinking about getting a long range scanner, so the Dark Orca had gone to the underground market that dealt with specific submarine parts. They were expensive, the market typically dealing with arms and weapons dealers, traffickers or smugglers, bounty hunters and mercenaries. The Floating Market was the pirates world, but the market they’d gone to for a good scanner held a different sort of folk. And they had specific price ranges and various other methods of transactions that Hammerhead wasn’t used to paying. Fortunately, Danny Boy had known a guy, who owed him a favor, and so they got the long range scanner for half the price.

[businessmemes]

Gordon was overwhelmed with the power and it eventually led to his burnout and subsequent demotion to a single business screen.

[jcmarchi]

AI and National Security: The New Battlefield

New Post has been published on https://thedigitalinsider.com/ai-and-national-security-the-new-battlefield/

AI and National Security: The New Battlefield

Artificial intelligence is changing how nations protect themselves. It has become essential for cybersecurity, weapon development, border control, and even public discourse. While it offers significant strategic benefits, it also introduces many risks. This article examines how AI is reshaping security, the current outcomes, and the challenging questions these new technologies raise.

Cybersecurity: A Fight of AI against AI

Most present‑day attacks start in cyberspace. Criminals no longer write every phishing email by hand. They use language models to draft messages that sound friendly and natural. In 2024, a gang used a deep-fake video of a chief financial officer stealing 25 million dollars from his own firm. The video looked so real that an employee followed the fake order without a doubt. Attackers now feed large language models with leaked resumes or LinkedIn data to craft personal bait. Some groups are even using generative AI to create software bugs or write malware snippets.

Defenders are also using AI to shield against these attacks. Security teams feed network logs, user clicks, and global threat reports into AI tools. The software learns “normal” activity and warns when something suspicious happens. When an intrusion is detected, AI systems disconnect a suspected computer to limit damage that would spread if humans reacted slower.

Autonomous Weapons

AI also steps onto physical battlefields. In Ukraine, drones use onboard vision to find fuel trucks or radar sites before they explode. The U.S. has used AI to help identify targets for airstrikes in places like Syria. Israel’s army recently used an AI target‑selection platform to sort thousands of aerial images to mark potential militant hideouts. China, Russia, Turkey, and the U.K. have tested “loitering munitions” that circle an area until AI spots a target.  These technologies can make military operations more precise and reduce risks for soldiers. But they also bring serious concerns. Who is responsible when an algorithm chooses the wrong target? Some experts fear “flash wars” where machines react too quickly for diplomats to stop them. Many experts are calling for international rules to control autonomous weapons, but states fear falling behind if they pause.

Surveillance and Intelligence

Intelligence services once relied on teams of analysts to read reports or watch video feeds. Today they rely on AI to sift millions of images and messages each hour. In some countries, like China, AI tracks citizens’ behavior, from small things like jaywalking to what they do online. Similarly, on the U.S.–Mexico border, solar towers with cameras and thermal sensors scan empty desert. The AI spots a moving figure, labels it human or animal, then alerts patrol agents. This “virtual wall” covers wide ground that humans could never watch alone.

While these tools extend coverage, they also magnify errors. Face‑recognition systems have been shown to misidentify women and people with darker skin at higher rates than white men. A single false match may cause an innocent person to face extra checks or detention. Policymakers ask for audited algorithms, clear appeal paths, and human review before any strong action.

Information Warfare

Modern conflicts are fought not only with missiles and code but also with narratives. In March 2024 a fake video showed Ukraine’s president ordering soldiers to surrender; it spread online before fact‑checkers debunked it. During the 2023 Israel–Hamas fighting, AI‑generated fakes favoring one side’s policies flooded social streams, in order to tilt opinion.

False information spreads faster than governments can correct it. This is especially problematic during elections, where AI-generated content is often used to sway voters. Voters find it difficult to distinguish between real and AI-generated images or videos. While governments and tech firms are working on counter‑AI projects to scan the digital fingerprints of AI but the race is tight; creators improve their fakes just as fast as defenders improve their filters.

Decision Support

Armies and agencies collect vast amounts of data including hours of drone video, maintenance logs, satellite imagery, and open‑source reports. AI helps by sorting and highlighting relevant information. NATO recently adopted a system inspired by the U.S. Project Maven. It links databases from 30 member states, providing planners with a unified view. The system suggests likely enemy movements and identifies potential supply shortages. The U.S. Special Operations Command uses AI to help draft parts of its annual budget by scanning invoices and recommending reallocations. Similar AI platforms predict engine failures, schedule repairs in advance, and customize flight simulations for individual pilots’ needs.

Law Enforcement and Border Control

Police forces and immigration officers are using AI for tasks that require constant attention. At busy airports, biometric kiosks confirm identities of travelers to make the process more efficient. Pattern-analysis software picks out travel records that hint at human trafficking or drug smuggling. In 2024, one European partnership used such tools to uncover a ring moving migrants through cargo ships. These tools can make borders safer and help catch criminals. But there are concerns too. Facial recognition sometimes fails for certain classes of people with low representation, which could lead to mistakes. Privacy is another issue. The key question is whether AI should be used to monitor everyone so closely.

The Bottom Line

AI is changing national security in many ways, offering both opportunities and risks. It can protect countries from cyber threats, make military operations more precise, and improve decision-making. But it can also spread lies, invade privacy, or make deadly errors. As AI becomes more common in security, we need to find a balance between using its power for good and controlling its dangers. This means countries must work together and set clear rules for how AI can be used. In the end, AI is a tool, and how we use it will redefine the future of security. We must be careful to use it wisely, so it helps us more than it harms us.

[tinylittlecubby]

With no drones they will fly to you

With no jets they will sail to you

With no boats they will shoot you

With no guns they will get sick purely to get you sick

With no illness they will starve just to see you starve

If not starvation they will convince you to harm yourself to please an entity you may never meet in a place you may never go

A man with a motive will leverage any tool to meet his goal.

[myshopify]

SpyLikeAPro is an investigative resource website that helps people uncover infidelity and suspicious behavior using discreet tools, tech, and surveillance strategies. From GPS trackers to hidden cameras and digital forensics, we show everyday people how to think like a professional investigator.

[josephkravis]

AI tools are stylish and smart—but are they spying too? I explore 10 scenarios where wearable tech breaks trust in real life.

[mlembug]

this is because people take a look at tech and project their feelings into the tech itself rather than how forces in society encourage use of the tech, therefore expecting the tech to be neatly separated into "the good AI" vs "the wretched generative AI" or similar.

also see "enshittification" and how people came to think it's what companies do to ruin your free online services for funsies, rather than an inevitability of a for-profit company running a free-to-use non-profitable service, that costs money merely by existing.

i think people realized that "AI" has been applied far too generously and came to mean any kind of machine learning ever, creating mass hysteria and confusion. The clearer replacement, I've noticed, is "generative AI" and I'm just gonna say, no, try again, that's also already a widely used term for art with randomizing/procedural elements. i recently got an angry comment on my "1 hour of generative breakcore" video from someone who thought it was machine learning.