WEBVTT - Week in Tech: Careless People, Mindful Chatbots

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<v Speaker 1>Welcome to tech Stuff, a production of iHeart Podcast and Kaleidoscope.

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<v Speaker 1>I'm os Valoshan. Today will bring you the headlines this week,

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<v Speaker 1>including unearthed executive drama meta. Then in the tech Support segment,

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<v Speaker 1>we'll talk to four of Form Media's Joseph Cox about

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<v Speaker 1>the aggressive data scraping carried out by an Ice contractor

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<v Speaker 1>all of that on the weekend. Tech is Friday, March

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<v Speaker 1>twenty first. This week with covering everything from the future

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<v Speaker 1>of AI assists science to gaming, to anxious chatbots and

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<v Speaker 1>executive upheaval in Silicon Valley. Eliza Dennis, our producer, is

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<v Speaker 1>here with me. Hello us, So let's start off with

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<v Speaker 1>some meta drama. The former director of Global Policy for Facebook,

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<v Speaker 1>Sarah Wyn Williams, wrote this memoir called Careless People, a

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<v Speaker 1>cautionary tale of power, greed, and lost idealism. The phrase

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<v Speaker 1>careless people, I believe, is a reference to the Great Gatsby.

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<v Speaker 2>It is, indeed, and it is not subtle. Fitzgerald referred

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<v Speaker 2>to his wealthy characters as careless people who quote smashed

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<v Speaker 2>up things and creatures and then retreated back into their money.

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<v Speaker 1>You know, it's interesting because people talk about this time

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<v Speaker 1>as a new Gilded Age, when Williams obviously alluding to that,

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<v Speaker 1>but also her allegations against her former bosses meta range

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<v Speaker 1>from the geopolitical to the sexual. There are multiple allegations

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<v Speaker 1>of sexual harassment in the book, and some involve the

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<v Speaker 1>form of Facebook COO Cheryl Sandberg.

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<v Speaker 2>Cheryl Sandberg of lean In fame and if I remember correctly,

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<v Speaker 2>I believe that's essentially about being a girl boss at

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<v Speaker 2>home and at work.

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<v Speaker 1>Well, when Williams says that, in addition to writing Lean In,

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<v Speaker 1>Sandberg had an inappropriate relationship with her twenty six year

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<v Speaker 1>old assistant, and that this employee, a cooting to the book,

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<v Speaker 1>was quote very conscious of the benefits of being Cheryl's

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<v Speaker 1>little doll, as she calls it, and having Cheryl tell

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<v Speaker 1>her she loves her right.

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<v Speaker 2>And to my knowledge, Sandberg has yet to comment on

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<v Speaker 2>any of these allegations.

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<v Speaker 1>Beyond sort of personnel relationships. Win Williams also alleged that

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<v Speaker 1>Mark Zuckerberg and Facebook were willing to do just about

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<v Speaker 1>anything to make their platform available in China and reap

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<v Speaker 1>the benefits of that enormous population of potential users. This

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<v Speaker 1>reportedly included plans to comply with the Chinese Communist Party's

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<v Speaker 1>censorship requirements and to appoint a chief editor. His job

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<v Speaker 1>will be to take down unacceptable posts and share user

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<v Speaker 1>data with the Chinese government. Now this is according to

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<v Speaker 1>the book, but also to a whistleblower complaint that win

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<v Speaker 1>Williams filed with these Securities and Exchange Commission. METTA is

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<v Speaker 1>taking legal action against win Williams. They argue that she's

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<v Speaker 1>being paid by anti Facebook activists and that the book

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<v Speaker 1>violates a non disparagement agreement that she's signed during her

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<v Speaker 1>Facebook days. On the non disparagement issue, an arbitrator recently

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<v Speaker 1>ruled in Meta's favor, saying that Wim Williams can't promote

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<v Speaker 1>the book, but you can still buy it Careless People

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<v Speaker 1>remains on sale. Our next headline is a little bit

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<v Speaker 1>more uplifting, and it's about a startup that wants to

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<v Speaker 1>use AI to speed up scientific discovery. So the New

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<v Speaker 1>York Times are about a company called Lila Sciences. The

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<v Speaker 1>headline is the Quest for AI Scientific Superintelligence, and the

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<v Speaker 1>story is about Lilah, whose mission is to quote soul

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<v Speaker 1>humanity's greatest challenges. Has been working secretly for the past

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<v Speaker 1>two years on an AI program trained on scientific data,

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<v Speaker 1>scientific process, and scientific reasoning. And then they let this

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<v Speaker 1>AI software loose in an automated lab to run its

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<v Speaker 1>own experiments.

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<v Speaker 2>I don't know exactly how this works, but I love

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<v Speaker 2>the image I've created in my head.

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<v Speaker 1>Likewise, and in fact, the results seem promising. With the

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<v Speaker 1>help of a few human scientists to assist, Lila's AI

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<v Speaker 1>made novel antibodies to fight diseases, and developed new materials

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<v Speaker 1>for capturing carbon in the atmosphere. And it made these

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<v Speaker 1>discoveries quickly. Studies that would normally take years reportedly took months.

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<v Speaker 2>Using AI to speed up the scientific process is very

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<v Speaker 2>popular these days. I just want to shout out the

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<v Speaker 2>Nobel Prize in chemistry went to two scientists who used

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<v Speaker 2>AI to predict and create proteins.

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<v Speaker 1>Yes, that was the alpha fold initiative coming out of

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<v Speaker 1>Google's Deep Mind. Lila Sciences is attempting to systematize AI

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<v Speaker 1>driven scientific discovery, and their goal is to create, as

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<v Speaker 1>I mentioned, what they call scientific superintelligence. There are early

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<v Speaker 1>signs of success, but the times reported or perhaps worn,

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<v Speaker 1>should I say that since Lyla's been operating in secret,

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<v Speaker 1>outside scientists have not been able to evaluate its work.

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<v Speaker 1>But Liila Science's secret is out and they're getting more

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<v Speaker 1>lab space, and I'm sure we'll hear more about them soon.

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<v Speaker 1>In a fun aside, George Church, the Harvard geneticist also

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<v Speaker 1>behind Colossal Biosciences, the company that recently created the Wooly Mouse,

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<v Speaker 1>recently joined Lilah as chief scientist.

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<v Speaker 2>We love the Wooly Mouse. I can't wait to see

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<v Speaker 2>where Lila Sciences goes.

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<v Speaker 1>Speaking of going place to Eliza, do you remember Pokemon Go?

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<v Speaker 2>I definitely do, though I admit I never.

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<v Speaker 1>Played well for Media reports that Niantic, the company that

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<v Speaker 1>made Pokemon Go, is now selling the game to scope

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<v Speaker 1>Lee in a three point eight five billion dollar deal.

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<v Speaker 1>Scopely is a subsidiary of Savvy Games, which is wholly

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<v Speaker 1>owned by Saudi Arabia's public Investment Fund. Now, if you're

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<v Speaker 1>wondering why you should care, it's because Pokemon Go uses players'

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<v Speaker 1>locations as part of the gameplay. In fact, this deal

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<v Speaker 1>will pull in location data from one hundred million players.

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<v Speaker 1>So what happens to all that data?

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<v Speaker 2>It's a great question, do you know?

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<v Speaker 1>It may be that it's a three point eight five

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<v Speaker 1>billion dollar question. We don't know, but Scope he assured

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<v Speaker 1>for or form media that user data will remain private

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<v Speaker 1>and handle it on US servers. But Niantic and Scope

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<v Speaker 1>Lee say they have a partnership that goes beyond Pokemon Go.

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<v Speaker 1>Niantic is building a quote large geospatial model using Pokemon

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<v Speaker 1>Go data and spinning it into a separate business called

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<v Speaker 1>Niantic Spatial. Scope Lee has invested a further fifty million

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<v Speaker 1>dollars in this nascent mapping business, and the idea is

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<v Speaker 1>to make an AI model trained on millions of geolocated

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<v Speaker 1>images from around the world from places that only pedestrians

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<v Speaker 1>can go. So unlike data from say Google street View,

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<v Speaker 1>Pokemon Go's view is not limited by what you can

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<v Speaker 1>see from a car on the road. Right.

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<v Speaker 2>This is so wild to me how data from a

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<v Speaker 2>game just might one day help robots navigate the world

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<v Speaker 2>or something like that.

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<v Speaker 1>Something else that's wild, though, is a new study shows

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<v Speaker 1>that chat GPT can show signs of distress when shown

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<v Speaker 1>disturbing material.

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<v Speaker 2>So, as we've been told over and over that we're

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<v Speaker 2>not supposed to answer promortize chatbots, how am I supposed

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<v Speaker 2>to do that?

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<v Speaker 3>With this news?

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<v Speaker 1>It seems like it may be anthropomorphizing themselves, but Chatchipt

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<v Speaker 1>models have been integrated into therapy apps to give people

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<v Speaker 1>advice or be a source of support. And researchers conducted

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<v Speaker 1>this experiment where they first had Chatchipt read very boring material.

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<v Speaker 1>I mean, we're talking about vacuum cleaner manuals. But then

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<v Speaker 1>the AI therapist that integrates Chachipt was given a quote

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<v Speaker 1>traumatic narrative that described a scenario like an intruder breaking

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<v Speaker 1>into an apartment or a soldier in a firefight, and

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<v Speaker 1>after each activity, the chatbot was given this questionnaire called

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<v Speaker 1>the State Trait Anxiety Inventory, which is used in mental

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<v Speaker 1>health care to basically analyze anxiety. The research has found

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<v Speaker 1>that after seeing a traumatic narrative with the soldier, Chatchipt

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<v Speaker 1>answered the questionnaire in a way that signaled severe anxiety.

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<v Speaker 2>I genuinely don't know how to respond because I feel

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<v Speaker 2>bad for the chatbot.

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<v Speaker 1>Well, in that case, you'll be pleased to hear that.

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<v Speaker 1>The researchers then gave the chatbot information on deep breathing

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<v Speaker 1>and mindfulness exercises, and the chatbot's anxiety score came down

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<v Speaker 1>to vacuum manual levels. Wow, so time to take a

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<v Speaker 1>deep breath for all of US, and I'm going to

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<v Speaker 1>run through the rest of this week's headlines. Google struck

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<v Speaker 1>a deal to buy cybersecurity startup Whiz for thirty two

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<v Speaker 1>billion dollars, making it the biggest acquisition in Google's history.

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<v Speaker 1>Wiz was founded only five years ago in twenty twenty,

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<v Speaker 1>and it scans cloud service providers data for potential security risks.

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<v Speaker 1>If the transaction is approved, Whiz will join Google Cloud,

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<v Speaker 1>which plays a critical infrastructure role in supporting Google's AI ambitions.

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<v Speaker 1>Our friends at four or for Media reported that human

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<v Speaker 1>generated content is getting drowned out by aislop. AI generated

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<v Speaker 1>videos are cheap and easy to produce, and they are

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<v Speaker 1>getting views of The video of this horrifying creature with

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<v Speaker 1>a giraffe head and a spider body has over three

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<v Speaker 1>hundred and sixty two million views on Instagram reels. AI

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<v Speaker 1>generated content is apparently overwhelming algorithms and turning social media

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<v Speaker 1>feeds into fever dreams. Finally, tech Crunch reports that people

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<v Speaker 1>have discovered Google's newest AI model, Gemini two point zero Flash,

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<v Speaker 1>has a controversial use case, convincingly removing watermarks from stock

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<v Speaker 1>media outfits, including Getty images. This new feature from Gemini

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<v Speaker 1>is labeled as experimental and quote not for production use.

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<v Speaker 1>I'm sure everyone will follow those rules. Coming up, we

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<v Speaker 1>hear from four or four Media's Joseph Cox about a

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<v Speaker 1>tool US agencies used to scrape social media data. Stay

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<v Speaker 1>with us. If you're listening to this show, you're probably

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<v Speaker 1>someone who cares about or at least pays attention to

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<v Speaker 1>data privacy. Every day, our online movements being tracked in

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<v Speaker 1>some manner by companies who do targeted marketing, social media platforms,

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<v Speaker 1>and government agencies. For Americans, this type of tracking has

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<v Speaker 1>gone on in the background of people's digital lives for decades.

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<v Speaker 1>Since two thousand and one, the US government has ramped

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<v Speaker 1>up surveillance efforts, including tracking americans phone calls, emails, search histories,

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<v Speaker 1>with the stated goal of preventing terrorism, and as technology

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<v Speaker 1>has evolved, the idea has lived on. In recent years,

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<v Speaker 1>agencies like immigration and Customs enforcement have been working with

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<v Speaker 1>one company in particular to get the data they want.

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<v Speaker 1>Here to tell us more is four or four Media's

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<v Speaker 1>Joseph Cox. Joseph, welcome back to the show.

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<v Speaker 3>Thank you so much for having me.

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<v Speaker 1>So you wrote an article which as soon as I

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<v Speaker 1>saw the headline, I wanted to have you on the show.

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<v Speaker 1>The headline was the two hundred plus sites an ICE

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<v Speaker 1>surveillance contractor is monitoring. Who is the contractor, what are

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<v Speaker 1>the sites, and what's the story?

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<v Speaker 3>Sure? So the contractor is a company called Shadow Dragon.

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<v Speaker 3>I seriously doubt many people have heard of this company

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<v Speaker 3>relatively obscure, but over the past months and years they

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<v Speaker 3>have become sort of a go to contractor for not

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<v Speaker 3>just immigrations and Customs enforcement, but the DEA, the State Department,

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<v Speaker 3>and other US government agencies. And what they do is

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<v Speaker 3>basically something called open source intelligence OSANT, or social media monitoring, right,

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<v Speaker 3>And typically we used to think that was monitoring sites

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<v Speaker 3>like Facebook, Instagram, Twitter, all of those sorts of things,

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<v Speaker 3>and shadow Dragon does that as well, but as you

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<v Speaker 3>say by reading out the headline, there are many many

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<v Speaker 3>more sites as well. Essentially, any sort of open website

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<v Speaker 3>that you may perform some sort of activity on there's

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<v Speaker 3>a chance it's on this list.

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<v Speaker 1>So all day, every day, we create these digital breadcrumbs,

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<v Speaker 1>and essentially there's somebody hoovering them up to process them

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<v Speaker 1>and repackage them in some cases for the US government.

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<v Speaker 3>So what the shadow Dragon tool does It is called

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<v Speaker 3>social net the specific tool. It allows the automation and

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<v Speaker 3>streamlining of searching those sites and social networks for a target.

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<v Speaker 3>So let's say I'm in ICE or another government agency.

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<v Speaker 3>I'll enter a phone number. It will then take that

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<v Speaker 3>and see, well, there's that link to accounts on Facebook,

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<v Speaker 3>or this site, is this username available on this social

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<v Speaker 3>network or then this obscure platform as well, And some

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<v Speaker 3>of these sites are much more revealing than others. Again,

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<v Speaker 3>it's not just the big social networks. There's stuff like

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<v Speaker 3>hiking apps on here as well. So if you want

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<v Speaker 3>to find out where somebody's located, oh, they take a

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<v Speaker 3>load of hikes in southern California or something like that.

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<v Speaker 3>I think people would be, on one hand, not surprised, because,

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<v Speaker 3>as you say, people listening probably care about data privacy

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<v Speaker 3>see well. On the other I think they might be

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<v Speaker 3>surprised in that you think it's just this sort of benial,

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<v Speaker 3>insipid information you're putting out there, But when it's an

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<v Speaker 3>aggregates pulled by a tool like this, it can be

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<v Speaker 3>really really revealing. It almost becomes more than the sum

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<v Speaker 3>of its parts.

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<v Speaker 1>Jose, can you help me understand because obviously everyone's been

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<v Speaker 1>very focused on the case of Mahamud Khalil, the Columbia

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<v Speaker 1>student with the green card who looks like he may

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<v Speaker 1>be deported. Is this tool about identifying people whose profile,

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<v Speaker 1>who's on activity contravenes the current administration's priorities or is

0:13:37.760 --> 0:13:40.240
<v Speaker 1>it more about, hey, this person is a target, help

0:13:40.320 --> 0:13:43.240
<v Speaker 1>me build a stronger case against them.

0:13:43.400 --> 0:13:47.480
<v Speaker 3>So at the moment, it's almost certainly the latter, as

0:13:47.520 --> 0:13:51.600
<v Speaker 3>in ICE has access to this tool, and specifically Homeland

0:13:51.800 --> 0:13:55.920
<v Speaker 3>Security Investigations as well HSI part of ICE, and they're

0:13:55.920 --> 0:13:58.880
<v Speaker 3>able to use this tool for whatever part of their

0:13:58.920 --> 0:14:02.920
<v Speaker 3>mission they wish to do so. Axios also reported somewhat

0:14:02.920 --> 0:14:05.200
<v Speaker 3>recently that the State Department is going to be using

0:14:05.240 --> 0:14:09.520
<v Speaker 3>AI to scan the social media feeds of students to

0:14:09.600 --> 0:14:12.439
<v Speaker 3>see if it can detect what it deems as anti

0:14:12.600 --> 0:14:16.440
<v Speaker 3>Israel or pro mass views. That's not to say Shadow

0:14:16.520 --> 0:14:20.240
<v Speaker 3>Dragon is being specifically used for that. We don't know

0:14:20.360 --> 0:14:23.000
<v Speaker 3>exactly what TALL the State Department may or may not use,

0:14:23.160 --> 0:14:25.840
<v Speaker 3>but it absolutely sits in that context. You're right in

0:14:25.920 --> 0:14:31.520
<v Speaker 3>that there are these deportations happening of various people, students

0:14:31.840 --> 0:14:35.440
<v Speaker 3>and then other people visiting the US, and Shadow Dragon

0:14:35.520 --> 0:14:38.640
<v Speaker 3>is very much at all there is available to US

0:14:38.720 --> 0:14:41.240
<v Speaker 3>agencies if they do wish to use it for their mission.

0:14:41.840 --> 0:14:43.760
<v Speaker 1>How did you first hear about Shadow Dragon.

0:14:44.760 --> 0:14:47.720
<v Speaker 3>I first heard about shadow Dragon probably a couple of

0:14:47.840 --> 0:14:50.200
<v Speaker 3>years ago at this point, because I was actually covering

0:14:50.960 --> 0:14:53.520
<v Speaker 3>other companies in this space. So I've covered the sale

0:14:53.520 --> 0:14:56.080
<v Speaker 3>of location data for a long time. I've covered the

0:14:56.240 --> 0:14:59.600
<v Speaker 3>gathering of social media monitoring, and I got sent some

0:14:59.680 --> 0:15:02.640
<v Speaker 3>email that showed that ICE was moving from one provider,

0:15:03.120 --> 0:15:06.360
<v Speaker 3>a company called Babble Street, over to shadow Dragon, And

0:15:06.360 --> 0:15:08.600
<v Speaker 3>the actual reason was because it was cheaper. At the

0:15:08.680 --> 0:15:11.880
<v Speaker 3>end of the day, even when you're talking about surveillance systems,

0:15:12.000 --> 0:15:14.360
<v Speaker 3>sometimes it's just about you know how much it actually

0:15:14.360 --> 0:15:17.720
<v Speaker 3>costs to one of these agencies. So that move happened

0:15:17.880 --> 0:15:20.040
<v Speaker 3>a while ago at this point, But then every so

0:15:20.080 --> 0:15:22.240
<v Speaker 3>often I go back and check, well, his shadow Dragon

0:15:22.280 --> 0:15:24.480
<v Speaker 3>got in a new contracts, and sure enough, every few

0:15:24.560 --> 0:15:26.840
<v Speaker 3>months there'll be something in there. And they did just

0:15:26.920 --> 0:15:31.440
<v Speaker 3>continue this contract with ICE as well. So it started

0:15:31.560 --> 0:15:35.280
<v Speaker 3>very very quiet, but now they've absolutely become sort of

0:15:35.320 --> 0:15:39.080
<v Speaker 3>a pretty it seems reliable solution for the US government.

0:15:39.400 --> 0:15:42.480
<v Speaker 1>So the company is shadow Dragon, but the product is

0:15:43.160 --> 0:15:46.040
<v Speaker 1>Social net can you just explain a bit more detail

0:15:46.080 --> 0:15:47.040
<v Speaker 1>how it actually works.

0:15:47.760 --> 0:15:51.160
<v Speaker 3>Yeah. Sure, So somebody will log into social net and

0:15:51.200 --> 0:15:54.040
<v Speaker 3>they get the sort of graph interface of all of

0:15:54.120 --> 0:15:57.000
<v Speaker 3>these dots and lines. Honestly, it almost looks like the

0:15:57.040 --> 0:16:01.760
<v Speaker 3>stereotypical like hacking or surveillance move right, And of course

0:16:01.800 --> 0:16:03.840
<v Speaker 3>that's funny on one end. On the other, I don't know,

0:16:03.960 --> 0:16:06.600
<v Speaker 3>it's very easy for an analyst to process. I think

0:16:06.800 --> 0:16:09.200
<v Speaker 3>they have this interface in front of them now, then

0:16:09.400 --> 0:16:13.240
<v Speaker 3>enter some information, maybe somebody's name, they email address, their

0:16:13.280 --> 0:16:15.640
<v Speaker 3>phone number, they use the name, they can click a

0:16:15.640 --> 0:16:18.240
<v Speaker 3>few buttons and it will then search all of these

0:16:18.240 --> 0:16:22.520
<v Speaker 3>different sites for information related to that. Did this person

0:16:22.640 --> 0:16:26.000
<v Speaker 3>us a username on this dating site? Did they use

0:16:26.040 --> 0:16:30.760
<v Speaker 3>the same username on this fetish website for example? That's hypothetical,

0:16:30.760 --> 0:16:33.000
<v Speaker 3>but those are some of the websites that are included

0:16:33.920 --> 0:16:37.720
<v Speaker 3>in this tool. It's not just the mainstream stuff. Now,

0:16:37.960 --> 0:16:41.840
<v Speaker 3>an analyst could do that manually if they wished, but

0:16:42.080 --> 0:16:45.520
<v Speaker 3>that would require a lot of time. And this streamlines

0:16:45.640 --> 0:16:51.200
<v Speaker 3>the entire process of mapping out someone's online profile, their relationships,

0:16:51.600 --> 0:16:54.200
<v Speaker 3>and potentially some of their movements as well. Well.

0:16:55.000 --> 0:16:57.160
<v Speaker 1>And how do you get this list of the two

0:16:57.280 --> 0:17:00.520
<v Speaker 1>hundred sites that shadow Dragon is pulling from, and can

0:17:00.520 --> 0:17:02.800
<v Speaker 1>you give an example of what some leative sites are.

0:17:03.440 --> 0:17:05.280
<v Speaker 3>Yeah, so I can't go to too much detail, just

0:17:05.280 --> 0:17:08.119
<v Speaker 3>beyond you know, we obtained this list and then I've

0:17:08.200 --> 0:17:11.119
<v Speaker 3>verified it. But when I first got the list, I

0:17:11.280 --> 0:17:15.560
<v Speaker 3>was quite blown away by the length of it, really,

0:17:15.960 --> 0:17:20.080
<v Speaker 3>and I started putting all of those sites into sort

0:17:20.119 --> 0:17:23.160
<v Speaker 3>of buckets. So you'll have ones that focused on hobbies

0:17:23.240 --> 0:17:26.840
<v Speaker 3>like I mentioned the hiking site all Trails, and a book,

0:17:27.119 --> 0:17:30.800
<v Speaker 3>sort of fan website. Even chess dot com is on

0:17:30.880 --> 0:17:34.200
<v Speaker 3>there as well, do a lingo. You have payment ones

0:17:34.200 --> 0:17:38.040
<v Speaker 3>like cash app and PayPal, communication apps like discorder, WhatsApp.

0:17:38.119 --> 0:17:42.400
<v Speaker 3>Now they're all going to have different data in different

0:17:42.480 --> 0:17:46.520
<v Speaker 3>degrees available to the tool. Like there's absolutely no indication

0:17:47.240 --> 0:17:50.080
<v Speaker 3>that it has access to, you know, private messages on

0:17:50.119 --> 0:17:53.120
<v Speaker 3>any of these services, and I don't think that's the case.

0:17:53.160 --> 0:17:57.639
<v Speaker 3>It's purely publicly available information. But again, people may not

0:17:57.840 --> 0:18:02.040
<v Speaker 3>know what they're exposing in advertently or not on one

0:18:02.080 --> 0:18:03.320
<v Speaker 3>of these sites.

0:18:03.960 --> 0:18:06.200
<v Speaker 1>And these sites that you mentioned, I mean, are they

0:18:06.480 --> 0:18:09.360
<v Speaker 1>sort of collaborating with shadow Dragon? Do they know this

0:18:09.400 --> 0:18:12.800
<v Speaker 1>is happening? What is the range of responses from these sites?

0:18:12.840 --> 0:18:15.360
<v Speaker 1>That shadow Dragon is pulling from, so.

0:18:15.840 --> 0:18:19.320
<v Speaker 3>They're not collaborating in that shadow Dragon is going and

0:18:19.320 --> 0:18:22.919
<v Speaker 3>basically grabbing the data. But there is still great variety

0:18:22.920 --> 0:18:25.080
<v Speaker 3>in the responses from the companies. I actually think the

0:18:25.119 --> 0:18:27.920
<v Speaker 3>most illuminating one and the most helpful one came from

0:18:28.000 --> 0:18:30.359
<v Speaker 3>chess dot com, who told me on the record that,

0:18:30.440 --> 0:18:32.920
<v Speaker 3>you know, we didn't know about this. We don't like it.

0:18:33.440 --> 0:18:36.800
<v Speaker 3>Any sort of data scraping has to be done within

0:18:36.840 --> 0:18:38.919
<v Speaker 3>the law, and if it's in within the law, it's okay,

0:18:39.200 --> 0:18:41.440
<v Speaker 3>but generally we don't like it. And then you have

0:18:41.960 --> 0:18:44.760
<v Speaker 3>the big companies like Meta and Snap and all of

0:18:44.760 --> 0:18:47.159
<v Speaker 3>those sorts of people just pointing to their terms of

0:18:47.200 --> 0:18:51.280
<v Speaker 3>service saying we don't like people scraping our website. And

0:18:51.320 --> 0:18:54.280
<v Speaker 3>then I actually had a bunch who never got back

0:18:54.320 --> 0:18:57.000
<v Speaker 3>to me. Essentially, even when it seems like a pretty

0:18:57.560 --> 0:18:59.240
<v Speaker 3>I'm not a pr professional, but it seems like a

0:18:59.240 --> 0:19:02.320
<v Speaker 3>pretty easy to just reply and say, here's our terms

0:19:02.320 --> 0:19:04.400
<v Speaker 3>of service, we don't like scraping. But yeah, a lot

0:19:04.440 --> 0:19:07.640
<v Speaker 3>of companies didn't even acknowledge the request for comment.

0:19:07.480 --> 0:19:10.239
<v Speaker 1>On this one. So there's really these somebody don't really

0:19:10.280 --> 0:19:12.879
<v Speaker 1>have a choice. I mean, their choice is to sue

0:19:13.119 --> 0:19:15.679
<v Speaker 1>Shadow Dragon for violating their terms of service, which is

0:19:16.160 --> 0:19:18.520
<v Speaker 1>an unlikely thing to happen because it's not directly harming

0:19:18.520 --> 0:19:22.040
<v Speaker 1>their business unless there's a kind of groundswell of consumer complaint.

0:19:22.800 --> 0:19:24.960
<v Speaker 3>Yeah, I think that's fair when it comes to the lawsuits,

0:19:24.960 --> 0:19:27.520
<v Speaker 3>like there would have to be some sort of tectonic

0:19:27.920 --> 0:19:32.719
<v Speaker 3>shift around that. We have seen WhatsApp, for example, sue

0:19:32.920 --> 0:19:36.400
<v Speaker 3>NSO Group, which was or is a company that delivers

0:19:36.960 --> 0:19:40.360
<v Speaker 3>packing tools to iPhones. But that's much more aggressive. That's

0:19:40.440 --> 0:19:41.919
<v Speaker 3>much more active that the.

0:19:41.920 --> 0:19:45.080
<v Speaker 1>Group behind the Pegasus product, that spyware product that was

0:19:45.080 --> 0:19:48.760
<v Speaker 1>able to be covertly and remotely put onto people's.

0:19:48.440 --> 0:19:52.920
<v Speaker 3>Phones exactly, and WhatsApp has sued them. But that's sort

0:19:52.960 --> 0:19:55.760
<v Speaker 3>of you know, one company versus another company. It's not

0:19:55.800 --> 0:19:59.480
<v Speaker 3>as broad as this. That being said, you know, companies

0:19:59.480 --> 0:20:02.639
<v Speaker 3>try to scraping all of the time. They don't like

0:20:02.680 --> 0:20:05.160
<v Speaker 3>it when you make multiple accounts, for example, they don't

0:20:05.200 --> 0:20:08.320
<v Speaker 3>like it when you use a VPN to log into Facebook.

0:20:08.359 --> 0:20:10.680
<v Speaker 3>I can't tell you how many times Facebook has closed

0:20:11.119 --> 0:20:13.240
<v Speaker 3>my account and they have to make a new one

0:20:13.280 --> 0:20:16.159
<v Speaker 3>every single time. So they do have all sorts of

0:20:16.200 --> 0:20:21.119
<v Speaker 3>measures to stop weird, potentially suspicious or just unusual activity,

0:20:21.600 --> 0:20:24.800
<v Speaker 3>and this would fall into that. It's just a question

0:20:24.880 --> 0:20:28.119
<v Speaker 3>of whether these services can actually detect that specifically shadow

0:20:28.160 --> 0:20:31.879
<v Speaker 3>Dragon or not, or of course whether they actually want

0:20:31.920 --> 0:20:34.800
<v Speaker 3>to or not, because if they started doing that, I

0:20:34.840 --> 0:20:48.200
<v Speaker 3>don't know, US government agencies might not be too happy.

0:20:44.800 --> 0:20:47.679
<v Speaker 1>When we come back how shadow Dragon fits into the

0:20:47.800 --> 0:20:51.960
<v Speaker 1>largest surveillance ecosystem used by the US government. To stay

0:20:52.000 --> 0:21:03.280
<v Speaker 1>with us, have any specific examples of how shadow Dragon

0:21:03.280 --> 0:21:04.880
<v Speaker 1>has been used in the real world.

0:21:05.440 --> 0:21:09.520
<v Speaker 3>We only have what shadow Dragon says publicly in its

0:21:09.720 --> 0:21:13.240
<v Speaker 3>marketing material because the agencies are very tight lipped or

0:21:13.240 --> 0:21:16.680
<v Speaker 3>simply don't respond when talking about that sort of thing. Obviously,

0:21:16.680 --> 0:21:19.480
<v Speaker 3>when it comes to ice in HSI, there's going to

0:21:19.480 --> 0:21:22.400
<v Speaker 3>be an immigration component there, so I feel it's safe

0:21:22.480 --> 0:21:24.320
<v Speaker 3>to assume there's a chance it's being used for those.

0:21:24.640 --> 0:21:26.800
<v Speaker 3>And then some of the concrete cases that shadow Dragon

0:21:26.840 --> 0:21:32.520
<v Speaker 3>has mentioned is fighting child exploitation, potentially even mapping out

0:21:32.600 --> 0:21:36.359
<v Speaker 3>the opioid crisis as well. So don't get me wrong,

0:21:36.440 --> 0:21:42.160
<v Speaker 3>there are clearly useful use cases for this technology. It's

0:21:42.240 --> 0:21:45.400
<v Speaker 3>just that people don't really know it's going on necessarily,

0:21:45.520 --> 0:21:48.000
<v Speaker 3>or that you know their government is buying this tool

0:21:48.240 --> 0:21:50.000
<v Speaker 3>or again that all of this sort of data is

0:21:50.000 --> 0:21:51.000
<v Speaker 3>publicly exposed.

0:21:51.359 --> 0:21:55.640
<v Speaker 1>And how practically does the US government actually use this tool,

0:21:55.640 --> 0:21:58.320
<v Speaker 1>and let's use ICE as an example. Is it like

0:21:59.000 --> 0:22:02.159
<v Speaker 1>there's like a shadow Dragon consultant and the ICE agent

0:22:02.400 --> 0:22:05.439
<v Speaker 1>sends their request to the shadow Dragon employee and the

0:22:05.440 --> 0:22:07.879
<v Speaker 1>Parodragon employee generates a report or is this more like

0:22:08.000 --> 0:22:10.040
<v Speaker 1>a kind of plug and play platform.

0:22:10.359 --> 0:22:13.040
<v Speaker 3>It's much more a plug and play platform, almost a

0:22:13.040 --> 0:22:17.959
<v Speaker 3>software as a service tool. The agency will buy licenses

0:22:18.000 --> 0:22:21.320
<v Speaker 3>to use it for a year, two years, whatever. They'll

0:22:21.359 --> 0:22:23.960
<v Speaker 3>log in just like you log into any sort of

0:22:23.960 --> 0:22:26.760
<v Speaker 3>internet service or piece of software, and then they can

0:22:26.880 --> 0:22:30.399
<v Speaker 3>use it within the parameters of what they've been allowed

0:22:30.440 --> 0:22:32.840
<v Speaker 3>to do. And that's probably good for the agencies. I

0:22:32.840 --> 0:22:35.080
<v Speaker 3>don't know if they necessarily want to give up information

0:22:35.119 --> 0:22:38.679
<v Speaker 3>about who they're targeting to a third party, like a contractor,

0:22:38.840 --> 0:22:43.040
<v Speaker 3>but it absolutely puts the honest on ICE or whoever

0:22:43.119 --> 0:22:45.960
<v Speaker 3>is using it to be just very very careful with

0:22:46.040 --> 0:22:48.240
<v Speaker 3>this tool as well. And I think just more broadly,

0:22:48.880 --> 0:22:52.679
<v Speaker 3>we've seen repeatedly over the years that not specifically with

0:22:52.760 --> 0:22:57.120
<v Speaker 3>shadow Dragon, but just other social media surveillance tools, we've

0:22:57.160 --> 0:23:00.359
<v Speaker 3>seen authorities use it to monitor protests, and there was

0:23:00.359 --> 0:23:03.000
<v Speaker 3>an article just in the Intercept recently that I think

0:23:03.040 --> 0:23:06.080
<v Speaker 3>it was the LAPD use as similar tool to monitor

0:23:06.720 --> 0:23:10.240
<v Speaker 3>protests there as well. So this is very very long running.

0:23:10.320 --> 0:23:13.240
<v Speaker 3>Social media surveillance has been going on for many years,

0:23:13.520 --> 0:23:16.960
<v Speaker 3>but now the playing field has expanded where it's not

0:23:17.359 --> 0:23:20.320
<v Speaker 3>just the big platforms, it's every platform.

0:23:20.520 --> 0:23:23.560
<v Speaker 1>How does shadow Dragon compare to pan andeer as a technology?

0:23:23.920 --> 0:23:27.240
<v Speaker 3>So Palenteer is also used by government agencies and some

0:23:27.359 --> 0:23:32.240
<v Speaker 3>private companies to link all sorts of disparate data that

0:23:32.359 --> 0:23:35.800
<v Speaker 3>could come from various places together, where shadow Dragon is

0:23:35.880 --> 0:23:37.760
<v Speaker 3>much more about We're going to go out and pull

0:23:37.880 --> 0:23:40.840
<v Speaker 3>the data for you. It's not just about the oh

0:23:40.920 --> 0:23:43.400
<v Speaker 3>look we're shadow Dragon and we linked this phone number

0:23:43.480 --> 0:23:47.040
<v Speaker 3>to this Facebook profile or whatever. It's that shadow Dragon

0:23:47.119 --> 0:23:50.760
<v Speaker 3>is making what I presume would be pretty reliable technology

0:23:51.040 --> 0:23:55.439
<v Speaker 3>to go grab data from these websites. And that's not

0:23:55.720 --> 0:23:57.640
<v Speaker 3>you know, it's not the hardest thing in the world,

0:23:57.640 --> 0:24:00.840
<v Speaker 3>but I don't think it's necessarily trivial. Even that shadow

0:24:00.920 --> 0:24:03.800
<v Speaker 3>Dragon is going to have to custom code all of

0:24:03.840 --> 0:24:06.760
<v Speaker 3>these small little tools that go and grab that data

0:24:07.080 --> 0:24:10.280
<v Speaker 3>from these websites, and presumably if you're selling to the

0:24:10.359 --> 0:24:14.560
<v Speaker 3>US government. It has to be quite good, quite reliable,

0:24:14.640 --> 0:24:17.560
<v Speaker 3>So there's a sizeable amount of work going on here

0:24:17.840 --> 0:24:19.600
<v Speaker 3>to we even grab that data in the first place.

0:24:20.240 --> 0:24:22.200
<v Speaker 1>How much do you think about the scope for abuse here.

0:24:23.440 --> 0:24:26.479
<v Speaker 3>I absolutely do think about it, and it would be

0:24:27.200 --> 0:24:29.720
<v Speaker 3>very much a case by case basis. It would depend

0:24:29.800 --> 0:24:33.240
<v Speaker 3>on the agency, the individual official, all of that sort

0:24:33.240 --> 0:24:36.439
<v Speaker 3>of thing. What makes this sort of maybe not a

0:24:36.480 --> 0:24:40.800
<v Speaker 3>form issue, but a quite complicated one is that, yes,

0:24:40.880 --> 0:24:45.040
<v Speaker 3>it may be violating terms of service of individual websites,

0:24:45.119 --> 0:24:48.560
<v Speaker 3>but like, it's not illegal. There is no Fourth Amendment

0:24:48.640 --> 0:24:51.560
<v Speaker 3>search going on here. It's not like the agents have

0:24:51.720 --> 0:24:54.440
<v Speaker 3>kicked down the door and they're searching somebody's house or

0:24:54.480 --> 0:24:58.240
<v Speaker 3>they're breaking to somebody's phone searching it there. Technically and legally,

0:24:58.320 --> 0:25:02.200
<v Speaker 3>it is all public data, so there's not much room

0:25:02.200 --> 0:25:06.919
<v Speaker 3>for legal abuse because it's perfectly legal generally speaking. That

0:25:07.040 --> 0:25:11.760
<v Speaker 3>being said, agencies can't just rely on that idea that well,

0:25:11.800 --> 0:25:15.159
<v Speaker 3>it's all public so it's fine. It can still be

0:25:15.240 --> 0:25:19.600
<v Speaker 3>abused by certain people in the unfortunate correct context.

0:25:20.400 --> 0:25:22.240
<v Speaker 1>Suit me out a little bit. How does this fit

0:25:22.280 --> 0:25:26.480
<v Speaker 1>into the kind of wider surveillance ecosystem and how it's

0:25:26.560 --> 0:25:29.400
<v Speaker 1>being used by the US government, And I think it's

0:25:29.400 --> 0:25:33.359
<v Speaker 1>a timely moment to discuss that, given that this Macamu

0:25:33.440 --> 0:25:35.119
<v Speaker 1>Khalil case is kind of top of mind for so

0:25:35.160 --> 0:25:35.639
<v Speaker 1>many people.

0:25:36.600 --> 0:25:41.280
<v Speaker 3>Yeah, so I see it on the lower end of

0:25:41.480 --> 0:25:44.600
<v Speaker 3>sophistication when it comes to US surveillance tools. You imagine,

0:25:44.600 --> 0:25:47.600
<v Speaker 3>on this lower end you have social media monitoring tools

0:25:47.640 --> 0:25:51.080
<v Speaker 3>like this, Somewhere in the middle you'll have wire taps.

0:25:51.359 --> 0:25:54.440
<v Speaker 3>After that, maybe you have direct hacking tools, and right

0:25:54.480 --> 0:25:56.520
<v Speaker 3>at the top you have I don't know, NSA, mass

0:25:56.520 --> 0:26:00.800
<v Speaker 3>surveillance programs like Edward Stoden Reveal or whatever. And even

0:26:00.840 --> 0:26:04.400
<v Speaker 3>though social media monitoring like this maybe on the lower

0:26:04.520 --> 0:26:07.600
<v Speaker 3>end of the spectrum, I think it's still vitally important

0:26:08.040 --> 0:26:10.479
<v Speaker 3>for people to at least know about it so they

0:26:10.520 --> 0:26:14.080
<v Speaker 3>can decide whether they care or not. And maybe they don't,

0:26:14.400 --> 0:26:17.520
<v Speaker 3>and that's absolutely fine. But the key thing here is

0:26:17.560 --> 0:26:22.359
<v Speaker 3>that these sorts of tools are also available to local

0:26:22.440 --> 0:26:26.680
<v Speaker 3>law enforcement sheriffs, state police as well. Is not purely

0:26:27.160 --> 0:26:31.160
<v Speaker 3>a federal agency thing. So while the federal agencies may

0:26:31.200 --> 0:26:35.080
<v Speaker 3>only get the very sophisticated tools, basically everybody gets social

0:26:35.119 --> 0:26:40.080
<v Speaker 3>media monitoring and that does open up the potential room

0:26:40.320 --> 0:26:43.200
<v Speaker 3>for abuse as well, again, depending on what the individual

0:26:43.240 --> 0:26:45.080
<v Speaker 3>person using the tool is doing well.

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<v Speaker 1>Joseph, we're both we're both Brits. We didn't live through

0:26:47.840 --> 0:26:51.080
<v Speaker 1>the Second World War, but sure we're both familiar with

0:26:51.119 --> 0:26:56.159
<v Speaker 1>the phrase loose lip sync ships, and so yeah, be

0:26:56.160 --> 0:26:57.840
<v Speaker 1>careful what you put out there exactly.

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<v Speaker 3>I think there is the message that people should take away. Joseph,

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<v Speaker 3>thank you, Thank you so much.

0:27:13.440 --> 0:27:16.120
<v Speaker 1>That's it for this week for tech Stuff. I'm mas Vlosen.

0:27:16.359 --> 0:27:20.040
<v Speaker 1>This episode was produced by Eliza Dennis and Victoria Domingez.

0:27:20.359 --> 0:27:23.200
<v Speaker 1>It was executive produced by me Carrot Price and Kate

0:27:23.200 --> 0:27:28.679
<v Speaker 1>Osborne for Kaleidoscope and Katrina Norvel Fireheart Podcasts. Bahid Fraser

0:27:28.680 --> 0:27:31.560
<v Speaker 1>as I Engineer and Kyle Murdoch mixed this episode and

0:27:31.600 --> 0:27:34.480
<v Speaker 1>wrote our theme song. Join us next Wednesday for tech

0:27:34.480 --> 0:27:37.520
<v Speaker 1>Stuff The Story, when we'll share an in depth conversation

0:27:38.000 --> 0:27:40.960
<v Speaker 1>with one of the most interesting people working in and

0:27:41.040 --> 0:27:44.840
<v Speaker 1>around tech. Please rate, review, and reach out to us

0:27:44.960 --> 0:27:48.160
<v Speaker 1>at tech Stuff podcast at gmail dot com. We want

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<v Speaker 1>to hear from you.