machine learning

machine learning

Venture capitalists last month sunk nearly half a billion dollars into a Southern California defense technology startup whose surveillance towers track migrants along the U.S.-Mexico border.

Anduril Industries, the Irvine-based maker of autonomous drones, towers and small ground sensors, will use the $450 million for acquisitions and build out its AI-powered tech designed for military and border enforcement agencies.

But activists and experts are raising flags about the technology, pointing to privacy violations and civil liberties infringements.

They also question the government's steep investment in the private defense contractors behind it.

"The fact that we're spending money on the border wall also means that we're not investing in the things we all actually need here in the valley," said Norma Herrera, an organizer with the Rio Grande Valley Equal Voice Network.

She pushes back against what President Biden called an "effective and modern border security" system—a bureaucratic apparatus that allocates $1.2 billion for border infrastructure next year (still a drop in the bucket, given the Department of Homeland Security's $52 billion 2022 budget).

Before the pandemic, Herrera knocked on doors in Texas' Starr County to tell residents about the amount of money elected officials were pouring into Trump's border wall. Now, she's learning how to explain the virtual wall, one that's often harder to notice.

Anduril declined to make executives at the company available for interviews.

Surveillance on the Border

Over the last decade, the border security and immigration detention industry has ballooned as Democrats and Republicans both funnel more government money into private companies. Between the fiscal years 2017 and 2020, Customs and Border Protection received about $743 million from Congress for tech and surveillance, according to the legal organization Just Futures Law. And in the 2021 fiscal year alone, the Department of Homeland Security received over $780 million for the same purpose.

Anduril's recent project with CBP revolves around a $250 million contract signed under the Trump administration in July of 2020 to set up 200 solar-powered watch towers along the southern border. Of the towers, 60 are up and running as of July 2.

Under Biden's leadership, funding for border technology has become an even bigger priority, said Dinesh McCoy, a legal fellow at Just Futures Law.

"It's in large part a response to coinciding pressures of distinguishing themselves from the Trump years," he said.

Many Democrats back Biden's vision, considering a virtual barrier a far better alternative to the physical border wall Republicans prefer.

"When it comes to proposals for a virtual wall, we're talking about heavy, heavy investments," said Saira Hussain, an attorney at the Electronic Frontier Foundation who specializes in racial and immigrant justice, surveillance and technology.

Government agencies are tapping a number of private companies to install the technology. In 2019, CBP awarded the Israeli defense contractor Elbit Systems $26 million to install surveillance towers along the border.

Then came the administration's 2020 deal with Anduril. Its AI-powered operating system, called Lattice, is designed to distinguish humans from animals along the border and send information to an agent's cell phone. The company has to date received $691 million in venture capital, including $450 million that had backers including Andreessen Horowitz last month. Anduril is now valued at $4.6 billion.

"As with all of our investments, this is a bet not just on the technology (breathtaking) and the market (enormous) but also the people (outstanding)," Andreessen Horowitz co-founder and general partner Marc Andreessen said in a prepared statement.

Marc Andreessen is a longtime investor in Palmer Luckey, Anduril's 28-year-old founder. He backed Luckey's first company — virtual reality startup Oculus — before Facebook bought it for $2 billion in 2014. A few years later, Luckey left following reports that he was funding a far-right political group.

In 2017, Luckey opened Anduril with a band of former employees from Oculus VR and Palantir, the software giant with major contracts with several government agencies.

Eyes Everywhere

Anduril Border Tower

Along the border, Anduril's 33-foot towers are continuously scanning plots of land about three miles in diameter. They're built to ignore animals — what CBP calls a "false positive" — and light up after detecting movement from people or cars.

The towers are watching "illegal border crossings, human trafficking and drug smuggling," a spokesperson for Anduril said by email.

If a person or group falls out of the camera's vision, AI tells the next tower to pick it back up. Border patrol agents then receive an alert to their cell phones or computers.

The goal is to mimic an agent's pair of eyes, especially in remote and rural spots. As one agent put it, "they see what we can't see on the ground."

They also run on solar power, a feature CBP said avoids the need for new infrastructure that can "complicate the Border Patrol's agreements with many of the private ranchland owners, national parks, and Native Americans' tribal lands where the Border Patrol must work."

Video surveillance drones and towers are puncturing nearly every industry, from homeland security to fast food delivery to monitoring traffic and parking violations along busy streets.

The tech is also raising a flood of questions from academics and legal groups like the Electronic Frontier Foundation and Just Futures Law, all of them worried about the implications of surveillance not only for migrants, but for U.S. residents. In May of 2020, for example, agencies CBP flew a drone over Minneapolis to record protestors following the police murder of George Floyd.

"We know that what's often deployed at the border and what's normalized at the border in terms of surveillance eventually makes its way into the interior of the United States," said Hussain, the attorney from EFF.

The company says it does not use facial recognition or collect identifiable information.

But critics like the ACLU of Texas and other civil liberties groups said it's unclear what data is being collected by private defense contracts like Anduril and how it could be used and shared.

"The border is a testing ground for surveillance elsewhere," said McCoy, the legal fellow at Just Futures Law. "Unfortunately, it's been primarily used to surveill Black and brown folks in the U.S. and abroad."

As the U.S. begins reducing its military footprint in the Middle East, McCoy suspects other military contractors will turn to border surveillance as a new form of profit.

"These tools that were once confined to military contexts have found themselves more and more in local communities," he said.

Anduril, for its part, insists it is providing the government with a crucial security mechanism. "Anduril identifies a security problem," reads a prepared statement forwarded to dot.LA by a company spokesperson, "builds a potential solution, then takes it to the government for potential consideration."

Lead art by Ian Hurley

Editor's note: This article has been updated to clarify that Andreessen Horowitz was involved in Anduril 's$450 million raise round, but was not the sole funder. Additionally, mentions of Anduril's $250 million contract with CBP have been updated to clarify that they were not negotiated with President Trump himself, but rather with members of his administration.

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Before COVID, just 35 of the approximately 50,000 employees at the city of Los Angeles worked remotely.

When the pandemic hit last March, it fell to Ted Ross, the city's chief information officer, to get 18,173 workers to go remote in the span of ten days.

Now, as some of L.A.'s massive workforce prepares to return to their downtown offices as they await guidance from the L.A. County Department of Public Health, Ross thinks the success of the last year has proven remote work should be here to stay. But not everyone in city government agrees with him.

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Robert De Niro's performance seemed totally off. In fact, nothing about the movie was working.

The problem, as Scott Mann saw it, was that the dubbing process had created a dissonance between the original film and the translated version he was watching, the cumulative effect of which was that it had "become a different film." That was Mann's opinion when he first saw a translated version of "Heist," the 2015 film about a casino robbery that he directed.

"I saw the foreign translations of my film, and I was horrified," said Mann, who lives in the Hollywood Hills. "As filmmakers we don't tend to watch our own movies in foreign languages and when I was made aware of it, it really shocked me."

Film director Scott Mann (left) and Robert De Niro on the set of "Heist".Film director Scott Mann (left) and Robert De Niro on the set of "Heist".

International markets have become more important than ever for film and television. Projects rely on foreign audiences to recoup their costs; as the U.S. market grows saturated, streaming services are increasingly competing for overseas viewers.

Netflix, for instance, consistently sees foreign-produced projects like "Money Heist" (aka "La Casa de Papel") and "Lupin" as among its most popular shows. Last year "Parasite" became the first foreign-language film to win an Oscar for Best Picture.

As Mann sought a better solution for his films, he says he came across a research paper that described a new artificial intelligence solution to the dubbing problem. On Monday, he launched a company that uses the technology, and which he hopes will become the new standard in Hollywood and beyond.

Flawless, which Mann co-founded with Nick Lynes of his native England, uses technology that was developed by a team of researchers at Germany's Max Planck Institute. In the paper detailing their "style-preserving" approach, the group explains how their technique improves upon the dubbing technology the industry relies on.

Traditional dubbing techniques can be categorized into two groups, they write. In the audio-only approach, a foreign-language "source" actor recites the translated script and the resulting audio file is merged with the original video of the "target" actor. The translated script must be rewritten, of course, and is often done so to try to preserve alignment between the lip movements of the target actor and the audio footage from the source's translation. For example, when the target actor pronounces a close-mouthed "b", "m" or "p" sound in the original, the translated script aims to use a foreign word that requires a similar lip movement. But working within these constraints can cause the script's nuances to get literally lost in translation.

The second approach, called "visual dubbing," changes the visual footage of the original performance, so that the actor's lip movements align with the translated audio. The downside, write the researchers, is that doing so "removes the person-specific idiosyncrasies and the style of the target actor, and makes the target actor's face move unnaturally like the source actor."

The new technology uses artificial intelligence to transfer the source actor's lip movements so that, by contrast, it matches the target actor's characteristic style. In doing so, the company hopes it will appear to viewers that De Niro himself is actually speaking the dubbed foreign language.

How Flawless Works

The startup uses technology similar to "deepfake" techniques that manipulate video footage to make a subject appear to be saying something he or she is not. In Flawless' case the technology is used in service of a more realistic translation of the film, rather than, say, creating an embarrassing moment for a politician or celebrity.

To achieve that, its artificial intelligence and machine learning model analyzes video footage of the actor – De Niro, in this example – to learn the subtle nuances of how his lip movements relate to other features of his face, including head position and eye motion. On the other end, it analyzes the translator's performance, then generates new footage that maintains De Niro's style while incorporating the lip movements of the translator. The new footage is rendered exclusively on the actor's (De Niro's) face, and keeps the original background unchanged.

The original researchers write that five-minute videos are sufficient for training their "style translator." Mann added that "for 'locked/completed' productions, the process takes around 10 weeks from ingestion to finals."

The company has signed its first contract but is "sworn to secrecy on the details," Mann said, adding that pricing will be based on the number of translations and the length of the film.

The company has so far been self-financed. It received some external funding in 2020, but won't disclose how much. Lynes wrote it will be raising a Series A round of funding later this year.

In their paper, the researchers cautioned that their technology could be used in pernicious ways as well. They say they have been working on AI technology "to detect synthetically generated or edited video at high precision to make it easier to spot forgeries."

Despite that potential, Mann thinks the technology could "completely change filmmaking" – well beyond dubbing.

"What you're constantly doing as a filmmaker is you're doing the same thing again and again from different angles," he said."From a production point of view, that's very time consuming and expensive. What this allows, is you could get one great take, from one angle and then essentially have it recreated from other angles."

He also thinks it could make remaking foreign films a thing of the past.

"Rather than having to remake a movie in English and all these different languages, we'll be able to enjoy the original," he said. "I think that will have an effect on the international community of filmmaking, and all types of actors that really should be on the world stage but currently aren't because no one speaks that language."

"I do think this is the tip of the iceberg on this technology in the film field," he added.

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