Mother Jones has a long article on surveillance arms manufacturers, their wares, and how they avoid export control laws:

Operating from their base in Jakarta, where permissive export laws have allowed their surveillance business to flourish, First Wap’s European founders and executives have quietly built a phone-tracking empire, with a footprint extending from the Vatican to the Middle East to Silicon Valley.

It calls its proprietary system Altamides, which it describes in promotional materials as “a unified platform to covertly locate the whereabouts of single or multiple suspects in real-time, to detect movement patterns, and to detect whether suspects are in close vicinity with each other.”

… Much more in this Lighthouse Reports analysis.

— Read More

When the U.S. government signs contracts with private technology companies, the fine print rarely reaches the public. Palantir Technologies, however, has attracted more and more attention over the past decade because of the size and scope of its contracts with the government.

Palantir’s two main platforms are Foundry and Gotham. Each does different things. Foundry is used by corporations in the private sector to help with global operations. Gotham is marketed as an “operating system for global decision making” and is primarily used by governments.

I am a researcher who studies the intersection of data governance, digital technologies and the U.S. federal government. I’m observing how the government is increasingly pulling together data from various sources, and the political and social consequences of combining those data sources. Palantir’s work with the federal government using the Gotham platform is amplifying this process. — Read More

More than a billion people use AI chatbots regularly. ChatGPT has over 700 million weekly users. Gemini and other leading AIs add hundreds of millions more. In my posts, I often focus on the advances that AI is making (for example, in the past few weeks, both OpenAI and Google AIs chatbots got gold medals in the International Math Olympiad), but that obscures a broader shift that’s been building: we’re entering an era of Mass Intelligence, where powerful AI is becoming as accessible as a Google search.

Until recently, free users of these systems (the overwhelming majority) had access only to older, smaller AI models that frequently made mistakes and had limited use for complex work. The best models, like Reasoners that can solve very hard problems and hallucinate much less often, required paying somewhere between $20 and $200 a month. And even then, you needed to know which model to pick and how to prompt it properly. But the economics and interfaces are changing rapidly, with fairly large consequences for how all of us work, learn, and think. — Read More

“It is functionally impossible for people to drive anywhere without having their movements tracked, photographed, and stored in an AI-assisted database that enables the warrantless surveillance of their every move. This civil rights lawsuit seeks to end this dragnet surveillance program.”

A civil liberties organization has filed a federal lawsuit in Virginia arguing that widespread surveillance enabled by Flock, a company that sells networks of automated license plate readers, is unconstitutional under the Fourth Amendment. … “In Norfolk, no one can escape the government’s 172 unblinking eyes.”  — Read More

How it works behind the scenes

#surveillance

Spying and surveillance are different but related things. If I hired a private detective to spy on you, that detective could hide a bug in your home or car, tap your phone, and listen to what you said. At the end, I would get a report of all the conversations you had and the contents of those conversations. If I hired that same private detective to put you under surveillance, I would get a different report: where you went, whom you talked to, what you purchased, what you did.

Before the internet, putting someone under surveillance was expensive and time-consuming. You had to manually follow someone around, noting where they went, whom they talked to, what they purchased, what they did, and what they read. That world is forever gone. Our phones track our locations. Credit cards track our purchases. Apps track whom we talk to, and e-readers know what we read. Computers collect data about what we’re doing on them, and as both storage and processing have become cheaper, that data is increasingly saved and used. What was manual and individual has become bulk and mass. Surveillance has become the business model of the internet, and there’s no reasonable way for us to opt out of it.

Spying is another matter. … [But] AI is about to change that.  — Read More

This week, Forbes reported that a Russian spyware company called Social Links had begun using ChatGPT to conduct sentiment analysis. The creepy field by which cops and spies collect and analyze social media data to understand how web users feel about stuff, sentiment analysis is one of the sketchier use-cases for the little chatbot to yet emerge.

Social Links, which was previously kicked off Meta’s platforms for alleged surveillance of users, showed off its unconventional use of ChatGPT at a security conference in Paris this week. The company was able to weaponize the chatbot’s ability for text summarization and analysis to troll through large chunks of data, digesting it quickly. — Read More

New Yorkers may have noticed an unwelcome guest hovering around their parties in early September. In the lead up to Labor Day weekend, the New York Police Department (NYPD) said it will use drones to look into complaints about celebrations, including backyard gatherings. Police drone spying is common in America. Nearly a quarter of police departments now use them, according to a recent survey by researchers at Northwestern Pritzker School of Law.

Even more surprising is where the technology is coming from. Among the NYPD’s suppliers is Skydio, a Silicon Valley firm that uses artificial intelligence (AI) to make drones easier to fly, allowing officers to control them with little training. Skydio is backed by venture-capital (VC) giant Andreessen Horowitz and one of its partners, Accel. The NYPD is also buying from another startup, BRINC, which makes flying machines equipped with night-vision cameras that can break window glass. BRINC investors include Sam Altman, the boss of OpenAI, the startup behind ChatGPT; and Index Ventures, another VC giant. — Read More

Spread across four computer monitors arranged in a grid, a blue and green interface shows the location of more than 50 different surveillance cameras. Ordinarily, these cameras and others like them might be disparate, their feeds only available to their respective owners: a business, a government building, a resident and their doorbell camera. But the screens, overlooking a pair of long conference tables, bring them all together at once, allowing law enforcement to tap into cameras owned by different entities around the entire town all at once.

This is a demonstration of Fusus, an AI-powered system that is rapidly springing up across small town America and major cities alike. Fusus’ product not only funnels live feeds from usually siloed cameras into one central location, but also adds the ability to scan for people wearing certain clothes, carrying a particular bag, or look for a certain vehicle.  — Read More