WEBVTT - Tech News: Amazon and Facebook Under Scrutiny

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<v Speaker 1>Welcome to tech Stuff, a production from I Heart Radio.

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<v Speaker 1>Hey there, and welcome to tech Stuff. I'm your host,

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<v Speaker 1>Johnathan Strickland. I'm an executive producer with I Heart Radio

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<v Speaker 1>and a love of all things tech except for tech news.

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<v Speaker 1>Today's a tech news day for Thursday, October one. And y'all,

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<v Speaker 1>the tech news can just really it's just like reading

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<v Speaker 1>the news in general. He can really beat you down

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<v Speaker 1>after a while. We're really going to focus on Amazon

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<v Speaker 1>and Facebook in this news episode because a lot of

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<v Speaker 1>stuff has come out about both companies and it's not

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<v Speaker 1>great for the most part. So let's start with Amazon.

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<v Speaker 1>Reuter's reports that Amazon has been found to game the

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<v Speaker 1>system in a really big way, leaning heavily on the

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<v Speaker 1>company's ability to gather and analyze data at a huge scale. Now,

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<v Speaker 1>in this particular case, we're talking about Amazon's operations in India.

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<v Speaker 1>Broiters came into possession of various internal documents and emails

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<v Speaker 1>that show Amazon employees were analyzing customer behaviors on the platform. Okay,

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<v Speaker 1>no problem so far. I mean, you would expect Amazon

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<v Speaker 1>to analyze customer behaviors because the company wants to streamline

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<v Speaker 1>the experience, make it as useful as possible so that

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<v Speaker 1>people keep coming back to Amazon. So some analysis makes sense.

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<v Speaker 1>Amazon was also looking at which products were particularly popular.

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<v Speaker 1>Still no problem. I mean, if you identify which products

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<v Speaker 1>are popular, you can feature those and thus sell more units.

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<v Speaker 1>So not necessarily a bad thing here either. However, company

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<v Speaker 1>employees designated these as reference products and then set about

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<v Speaker 1>to make Amazon knockoff versions of those things. Now they

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<v Speaker 1>wouldn't go so far as to actually counterfeit something, but

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<v Speaker 1>they did make products that were virtually identical to existing

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<v Speaker 1>ones on the market. So this wasn't about Amazon saying, hey,

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<v Speaker 1>you know, recharging cables are really popular, Let's make our

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<v Speaker 1>own recharging cable. This was Amazon saying, hey, this very

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<v Speaker 1>specific recharging cable is really popular. Let's make a version

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<v Speaker 1>that is indistinguishable from this, sell it at a lower cost,

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<v Speaker 1>and then promote it and thus make, you know, essentially

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<v Speaker 1>undercut this existing vendor who is dependent upon Amazon as

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<v Speaker 1>an online shop front. So on top of all this,

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<v Speaker 1>Amazon used its algorithm to place the Amazon made versions

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<v Speaker 1>of these products higher in search. So now someone searching

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<v Speaker 1>for a specific product, you know, it could be a

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<v Speaker 1>piece of clothing, it could be an electronics gadget, it

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<v Speaker 1>could be a household item, They're more likely to come

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<v Speaker 1>across the Amazon branded version of that before whichever one

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<v Speaker 1>Amazon employees were using as a reference product. So you

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<v Speaker 1>can find something that is almost identical to a very

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<v Speaker 1>popular product that's branded by Amazon. And because the algorithm,

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<v Speaker 1>you're seeing the Amazon one first, and their Amazon is

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<v Speaker 1>essentially undercutting these other merchants. Now, I'm pretty sure you

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<v Speaker 1>would be hard pressed to come up with a way

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<v Speaker 1>to defend Amazon against a charge of being anti competitive

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<v Speaker 1>in this case. Uh the internal documents showed that company

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<v Speaker 1>employees wanted to displace existing products on the market. According

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<v Speaker 1>to Reuters, the documents also showed that employees even sought

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<v Speaker 1>out partnerships with the companies that were making the reference

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<v Speaker 1>products because some of those products had final touches or

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<v Speaker 1>unique processes that meant that those products were set apart

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<v Speaker 1>and then it was harder to to make a you know,

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<v Speaker 1>a reasonable copy of that thing. So employees needed to

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<v Speaker 1>be able to find out what these unique processes were

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<v Speaker 1>in order to replicate those products. For Amazon. That's pretty

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<v Speaker 1>much industrial espionage when you get down to it again.

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<v Speaker 1>This is all according to Reuters, and this also contradicts

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<v Speaker 1>claims that Jeff Bezos made when he appeared before the

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<v Speaker 1>United States Congress in twenty twenty. During that testimony, Bezos

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<v Speaker 1>argued that Amazon doesn't use the data it collects to

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<v Speaker 1>give its own branded products a leg up on other

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<v Speaker 1>sellers that would be anti competitive, nor that the company

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<v Speaker 1>uses its algorithm to boost Amazon brands in search results

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<v Speaker 1>at the expense of other brands. But hey, maybe maybe

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<v Speaker 1>he just meant, oh except in India. Maybe that's what

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<v Speaker 1>he just forgot to say that part. Even if all

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<v Speaker 1>of that is the case, the Reuters report is already

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<v Speaker 1>stirring up activity in US politics again. Senator Elizabeth Warren

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<v Speaker 1>sent a tweet saying, quote, these documents show what we

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<v Speaker 1>feared about Amazon's monopoly power. That the company is willing

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<v Speaker 1>and able to rig its platform to benefit its bottom

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<v Speaker 1>line while stifling small businesses and entrepreneurs. This is one

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<v Speaker 1>of the many reasons we need to break it up.

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<v Speaker 1>End quote. Similarly, the American Economic Liberties Project criticized Amazon,

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<v Speaker 1>pointing out that there have been reports from various sellers

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<v Speaker 1>that alleged the company has copied product designs, indicating that

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<v Speaker 1>Amazon had likely used its powerful data collection and analysis

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<v Speaker 1>tools to identify products that could be big sellers, and

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<v Speaker 1>then followed a similar path as we saw in India

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<v Speaker 1>and the that that organization UH cited a an article

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<v Speaker 1>from the Wall Street Journal that was published in twenty

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<v Speaker 1>twenty that alleged Amazon employees had done pretty much the

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<v Speaker 1>same thing that was going on in India over here, Oudweight,

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<v Speaker 1>we are not done reporting on Amazon just yet. See.

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<v Speaker 1>Amazon also recently scrapped plans to build a distribution center

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<v Speaker 1>in San Diego County in San Diego, California. Now, the

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<v Speaker 1>company has not cited a specific reason for backing out

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<v Speaker 1>of this plan, like this was something that was not

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<v Speaker 1>a done deal, but it was heading towards that direction. Critics, however,

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<v Speaker 1>point to how San Diego recently passed legislation called the

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<v Speaker 1>Working Families Ordinance. Now, that law would require companies that

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<v Speaker 1>operate within San Diego County to pay the prevailing wage,

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<v Speaker 1>and the prevailing wage takes union wages as the benchmark,

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<v Speaker 1>and also any company that employs people within San Diego County.

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<v Speaker 1>Any company that operates within San Diego County has to

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<v Speaker 1>provide a baseline level of benefits and worker safety guarantees.

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<v Speaker 1>So in other words, if you don't meet these basic criteria,

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<v Speaker 1>you cannot operate within San Diego County. So these critics conclude,

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<v Speaker 1>it looks like Amazon said, huh, if we have to

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<v Speaker 1>if we build something here, if we build our distribution

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<v Speaker 1>center in San Diego County, we would have to pay

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<v Speaker 1>people more money, and we would have to spend more

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<v Speaker 1>money to make sure that employees are safe, and we'd

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<v Speaker 1>have to give them a minimum of fifty six hours

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<v Speaker 1>of annual sick leaf. No thanks now again, Amazon, I

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<v Speaker 1>should stress, has not referenced the law when addressing the

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<v Speaker 1>fact that the company is no longer building a distribution

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<v Speaker 1>center in San Diego County. But based on other recent

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<v Speaker 1>activities that we've seen in which Amazon has taken a

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<v Speaker 1>pretty tough stance against efforts of worker organization and unionization,

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<v Speaker 1>I feel like maybe the critics who are pointing at

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<v Speaker 1>this they might be onto something here. The company behind

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<v Speaker 1>the development of the warehouse, essentially the real estate company,

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<v Speaker 1>Chestnut Properties, sent a message out that also gets me

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<v Speaker 1>a bit angry. That message says, quote, just the threat

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<v Speaker 1>mention of this ordinance has already cost over four hundred

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<v Speaker 1>great jobs for the weld property that I have been

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<v Speaker 1>working on for over five years end quote. Now that

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<v Speaker 1>seems to argue that the ordinance is actively harming the

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<v Speaker 1>community because it's discouraging businesses from moving in and creating jobs,

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<v Speaker 1>and that this therefore is a bad thing. Now, keep

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<v Speaker 1>in mind, the ordinance demands a baseline level of compensation

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<v Speaker 1>and benefits to employees, and without that legislation, companies like

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<v Speaker 1>Amazon could be paying out much lower wages with fewer

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<v Speaker 1>benefits and fewer guarantees of workers safety. I would argue

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<v Speaker 1>that that kind of job does not qualify as a

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<v Speaker 1>unquote great job, you know, as Chestnut Properties has argued.

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<v Speaker 1>I mean, it's a job, so it is a job.

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<v Speaker 1>But if it's a job that keeps workers living below

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<v Speaker 1>the poverty line and workers are on the hook even

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<v Speaker 1>if they get sick or injured, that's not a great job.

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<v Speaker 1>That's that's like indentured servitude. It might have been great

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<v Speaker 1>for the developer. It might have been great for Chestnut

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<v Speaker 1>Properties because they saw to make a lot of money

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<v Speaker 1>for you know, essentially selling off this this space for

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<v Speaker 1>a distribution center. But that filter, so no, it's not

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<v Speaker 1>great for them. I mean I get that, but I've

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<v Speaker 1>said it a few times in this podcast, I since

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<v Speaker 1>that there is a general labor movement that's growing in

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<v Speaker 1>the United States, and it's something that has been overdue

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<v Speaker 1>because there have been a lot of big companies that

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<v Speaker 1>have grown exponentially at the expense of the folks who

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<v Speaker 1>work for those companies. One of the frequent things you'll

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<v Speaker 1>hear is, you know, it's hard to look at a

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<v Speaker 1>company that pays its employees at such a low level

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<v Speaker 1>that the employees can't afford whatever it is the company makes.

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<v Speaker 1>That's not necessarily the case with Amazon. Amazon makes a

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<v Speaker 1>lot of stuff, and it makes a lot of stuff

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<v Speaker 1>that's super cheap. But you get the idea, right, Like,

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<v Speaker 1>you know, the the argument about paying out, say fifteen

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<v Speaker 1>dollars an hour, Well that's pretty much the minimum wage

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<v Speaker 1>in California, and California is a state that has a

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<v Speaker 1>very high cost of living. So while that might sound

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<v Speaker 1>great if you're in a place that has a very

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<v Speaker 1>low cost of living in California by comparison, it does

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<v Speaker 1>not mean you're making a ton of money. And if

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<v Speaker 1>you're in an environment that could potentially lead to you

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<v Speaker 1>getting sick or hurt and you have no real benefits

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<v Speaker 1>to recover from that. That's not great. So a trio

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<v Speaker 1>of Amazon stories that are pretty rough. When we come act,

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<v Speaker 1>we're gonna do the same thing all over again, except

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<v Speaker 1>this time we'll talk about Facebook. Okay. So yeah, Facebook,

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<v Speaker 1>like I said on Tuesday's episode, had a bad week

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<v Speaker 1>last week. Well, that bad week has stretched into a

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<v Speaker 1>couple of bad weeks. You probably know that the company

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<v Speaker 1>has been dealing with consequences after some employees have leaked

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<v Speaker 1>internal documents to reporters, law enforcement agencies, and political bodies

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<v Speaker 1>like the United States Congress, and next week it will

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<v Speaker 1>be regulatory body bodies in the European Union. Well, when

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<v Speaker 1>that happens to a company, there are a few things

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<v Speaker 1>that a company can do. There are a few different um,

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<v Speaker 1>you know, the courses of action that you can pursue.

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<v Speaker 1>One thing a company could try to do is it

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<v Speaker 1>can try to address systemic problems within the organization. They

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<v Speaker 1>can try to operate in a more ethical, transparent, and

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<v Speaker 1>responsible way. It can try to improve in other words,

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<v Speaker 1>or we can do what Facebook has done and try

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<v Speaker 1>to just clamp down on leaks by instituting policies that

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<v Speaker 1>limit access to certain internal group assets on the company's

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<v Speaker 1>internal communications platform. Facebook uses Workplace. I've also used Workplace.

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<v Speaker 1>It's a platform for all sorts of internal company uh processes.

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<v Speaker 1>I'm actually amazed that folks have time to access the

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<v Speaker 1>darned thing to, you know, have conversations. UM. I find

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<v Speaker 1>navigating it somewhat tedious, but that's my own experience. And

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<v Speaker 1>in Facebook, it is a way for employees to be

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<v Speaker 1>able to access and share information internally within the company.

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<v Speaker 1>None the past, employees were pretty much able to communicate

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<v Speaker 1>across different topics within workplace without issue. They could jump

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<v Speaker 1>into a front channels essentially that are dedicated to specific

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<v Speaker 1>issues or concerns or corporate areas of interest. But now

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<v Speaker 1>certain groups that focus on specific topics, ones that Facebook

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<v Speaker 1>has labeled as being sensitive, have institute a kind of

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<v Speaker 1>members only kind of approach. In other words, it's a

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<v Speaker 1>need to know basis sort of thing. If you are

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<v Speaker 1>part of that department, you have access, Otherwise you do not.

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<v Speaker 1>Um and multiple outlets, including The New York Times, have

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<v Speaker 1>reported on this, showing that the effort to stop leaks

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<v Speaker 1>was then immediately leaked to the media. So what does

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<v Speaker 1>that mean for Facebook? Well, I would say it probably

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<v Speaker 1>means that for one thing, some employees at the company

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<v Speaker 1>might not be so thrilled about what Facebook has been

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<v Speaker 1>up to, and their discontent is enough to be an

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<v Speaker 1>ongoing issue, and that perhaps if Facebook wants to fix this,

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<v Speaker 1>they need to look at the root causes as opposed

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<v Speaker 1>to the leaks. The Verge has another Facebook story that

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<v Speaker 1>is interesting. The company has been working on various AI

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<v Speaker 1>projects that ultimately would relate to Facebook's augmented reality initiatives.

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<v Speaker 1>So the idea is to create a system that has

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<v Speaker 1>a type of almost like a memory connected to it.

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<v Speaker 1>Like the system itself would be able to go back

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<v Speaker 1>over data over time and glean important things from that.

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<v Speaker 1>You may have seen videos of Google kind of showing

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<v Speaker 1>off a similar approach to how like the Assistant program,

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<v Speaker 1>the virtual assistant in Google can continue to answer questions

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<v Speaker 1>about a subject. So you ask one question, then after

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<v Speaker 1>you get the answer, you follow up with another question,

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<v Speaker 1>and without you know, specifically referencing that you're still talking

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<v Speaker 1>about the same topic, assistant can then draw the conclusion

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<v Speaker 1>that the second question is about the same subject as

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<v Speaker 1>the first. Let me give you an example. Uh, using

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<v Speaker 1>this version of assistant, I could say something like, what's

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<v Speaker 1>the weather like at Disneyland tomorrow, and I get the answer,

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<v Speaker 1>and then I might follow that up with what time

0:15:11.640 --> 0:15:14.880
<v Speaker 1>does it open? Well, I didn't say Disneyland, I said

0:15:14.880 --> 0:15:18.240
<v Speaker 1>what time does it open? Using this kind of approach

0:15:18.280 --> 0:15:22.240
<v Speaker 1>to AI, the assistant might be able to glean the

0:15:22.280 --> 0:15:25.520
<v Speaker 1>fact that when I say it, I'm referring to the

0:15:26.160 --> 0:15:30.040
<v Speaker 1>subject from my previous question, that is Disneyland, and thus

0:15:30.040 --> 0:15:33.360
<v Speaker 1>give me the correct answer. Now this is trivial for

0:15:33.480 --> 0:15:35.880
<v Speaker 1>human beings, right, but it's actually a big deal for

0:15:35.960 --> 0:15:40.080
<v Speaker 1>artificial intelligence. AI does not natively have the ability to

0:15:40.240 --> 0:15:46.680
<v Speaker 1>understand context. So Facebook is working on several similar prop projects,

0:15:46.720 --> 0:15:51.320
<v Speaker 1>some of which are really ambitious. Now, the downside of

0:15:51.360 --> 0:15:53.720
<v Speaker 1>this is that it could lead to some pretty nasty

0:15:53.840 --> 0:15:58.800
<v Speaker 1>privacy and security issues. So, for example, imagine that someone

0:15:59.000 --> 0:16:02.640
<v Speaker 1>is wearing a pair of those a R ray band glasses,

0:16:02.640 --> 0:16:05.120
<v Speaker 1>except these are a more advanced version. They're one that

0:16:05.160 --> 0:16:10.200
<v Speaker 1>are have you know, more augmented reality type of features

0:16:10.200 --> 0:16:13.000
<v Speaker 1>built into them. They're not just like a camera built

0:16:13.000 --> 0:16:17.040
<v Speaker 1>into glasses. And let's say this person wearing the glasses

0:16:17.640 --> 0:16:20.960
<v Speaker 1>goes by a secure facility of some sort, maybe it's

0:16:20.960 --> 0:16:24.760
<v Speaker 1>a bank, right, and they look into the bank and

0:16:24.800 --> 0:16:27.440
<v Speaker 1>the camera and the glasses captures images of a person

0:16:27.480 --> 0:16:30.640
<v Speaker 1>who's accessing a secure part of that facility. So someone

0:16:30.680 --> 0:16:35.480
<v Speaker 1>who's actually authorized to go into some area that otherwise

0:16:35.520 --> 0:16:39.880
<v Speaker 1>you would not have access to. Okay, if you have

0:16:40.120 --> 0:16:43.280
<v Speaker 1>this capability and you pair it with something like facial recognition,

0:16:43.320 --> 0:16:47.040
<v Speaker 1>you could compromise that person's security. It could say, all right,

0:16:48.000 --> 0:16:52.160
<v Speaker 1>this person so and so has access to this secure

0:16:52.280 --> 0:16:55.760
<v Speaker 1>part of the bank. Here's some more information about so

0:16:55.800 --> 0:16:58.240
<v Speaker 1>and so that we're able to pull from the Internet.

0:16:58.400 --> 0:17:04.000
<v Speaker 1>Because of online mind social networking platforms and Twitter profiles

0:17:04.000 --> 0:17:06.600
<v Speaker 1>and all that kind of stuff, you could easily see

0:17:06.880 --> 0:17:11.959
<v Speaker 1>where this can quickly become a threat to privacy and security. Now,

0:17:12.000 --> 0:17:14.840
<v Speaker 1>that is a pretty dramatic example, right, That's something that's

0:17:14.840 --> 0:17:18.400
<v Speaker 1>obviously not going to apply to everyone. But the reality

0:17:18.480 --> 0:17:23.160
<v Speaker 1>is that this technology, unless it's implemented very carefully, could

0:17:23.160 --> 0:17:26.120
<v Speaker 1>become a huge threat to privacy for people in general.

0:17:26.640 --> 0:17:29.000
<v Speaker 1>You know, it could even be like who did I

0:17:29.040 --> 0:17:33.000
<v Speaker 1>see yesterday? Well, a question like that might be answered with, oh,

0:17:33.040 --> 0:17:35.400
<v Speaker 1>you saw your buddy Jim, and you also saw these

0:17:35.440 --> 0:17:37.960
<v Speaker 1>other five people you don't know, but I know them

0:17:38.000 --> 0:17:40.760
<v Speaker 1>because I have facial recognition technology and I was able

0:17:40.760 --> 0:17:43.720
<v Speaker 1>to cross reference it with the profiles that are available

0:17:43.760 --> 0:17:47.240
<v Speaker 1>on Facebook. So now you know all the people you encountered,

0:17:47.440 --> 0:17:49.680
<v Speaker 1>whether they wanted you to know them or not. They

0:17:49.680 --> 0:17:53.280
<v Speaker 1>were just going about their daily lives, So that is

0:17:53.320 --> 0:17:56.119
<v Speaker 1>a potential threat. Now Facebook is looking into some pretty

0:17:56.160 --> 0:18:00.240
<v Speaker 1>incredible AI applications such as hand and object manipulation shtion,

0:18:00.760 --> 0:18:02.680
<v Speaker 1>And in that case, you might be trying to learn

0:18:02.720 --> 0:18:05.560
<v Speaker 1>a specific skill and you could use an augmented reality

0:18:05.640 --> 0:18:08.199
<v Speaker 1>system to kind of teach you the steps you need

0:18:08.280 --> 0:18:10.439
<v Speaker 1>to do in order to build your skills. But you

0:18:10.440 --> 0:18:13.840
<v Speaker 1>could also use it potentially to analyze your own performance

0:18:13.960 --> 0:18:16.240
<v Speaker 1>and then and you know, give you tips on how

0:18:16.280 --> 0:18:18.879
<v Speaker 1>you can do that skill better and get you know,

0:18:19.000 --> 0:18:22.840
<v Speaker 1>improve upon it, which is really cool. So this sort

0:18:22.840 --> 0:18:27.280
<v Speaker 1>of hyper focused AI is really you know, compelling, but

0:18:27.400 --> 0:18:30.720
<v Speaker 1>you also start to see where the need for things

0:18:30.760 --> 0:18:34.600
<v Speaker 1>like privacy protection has to step in. This, by the way,

0:18:34.720 --> 0:18:37.320
<v Speaker 1>is all part of an initiative that Facebook calls Ego

0:18:37.520 --> 0:18:41.320
<v Speaker 1>four D. The Verge has a great piece that goes

0:18:41.320 --> 0:18:43.280
<v Speaker 1>into much further detail if you want to learn more

0:18:43.320 --> 0:18:47.600
<v Speaker 1>about this. It is titled Facebook is researching AI systems

0:18:47.640 --> 0:18:51.040
<v Speaker 1>that see here and remember everything you do. It's by

0:18:51.160 --> 0:18:54.760
<v Speaker 1>James Vincent. Highly recommend you check it out more than

0:18:54.840 --> 0:18:57.960
<v Speaker 1>for The organizations have banded together to launch a campaign

0:18:58.000 --> 0:19:01.560
<v Speaker 1>called how to Stop Facebook. So yeah, that hard week

0:19:01.640 --> 0:19:05.640
<v Speaker 1>does just keep extending. The group advocates for regulations that

0:19:05.680 --> 0:19:09.399
<v Speaker 1>would restrict how Facebook collects and uses data, citing the

0:19:09.400 --> 0:19:12.200
<v Speaker 1>concerns that we've seen pop up due to Facebook's reliance

0:19:12.200 --> 0:19:17.680
<v Speaker 1>on engagement driving algorithms, and those algorithms frequently favor content

0:19:17.760 --> 0:19:21.000
<v Speaker 1>that can be harmful in various ways because it drives engagement,

0:19:21.480 --> 0:19:25.240
<v Speaker 1>and as the campaign strategies director of Media Justice Masha

0:19:25.440 --> 0:19:30.000
<v Speaker 1>Hayes has said, quote Facebook's surveillance capitalist business model is

0:19:30.080 --> 0:19:35.800
<v Speaker 1>fundamentally incompatible with basic human rights end quote. That's a

0:19:35.880 --> 0:19:38.600
<v Speaker 1>heck of a statement. Hard for me to find fault

0:19:38.640 --> 0:19:43.480
<v Speaker 1>in it. Um, especially the way Facebook pursues its you know,

0:19:43.720 --> 0:19:48.200
<v Speaker 1>business model. Uh, it appears that it is at least

0:19:48.240 --> 0:19:52.760
<v Speaker 1>indifferent to basic human rights. The group is calling upon leaders,

0:19:52.920 --> 0:19:56.000
<v Speaker 1>like political leaders to intervene and essentially force Facebook to

0:19:56.040 --> 0:19:59.480
<v Speaker 1>fundamentally change how it operates. Um. And there are a

0:19:59.480 --> 0:20:01.560
<v Speaker 1>lot of different groups that are all part of this,

0:20:01.760 --> 0:20:04.240
<v Speaker 1>and a lot of them are are human rights groups

0:20:04.320 --> 0:20:07.720
<v Speaker 1>and things along those lines that are very much concerned

0:20:08.080 --> 0:20:12.640
<v Speaker 1>that Facebook's performance in the last you know a few

0:20:12.760 --> 0:20:16.560
<v Speaker 1>years has shown it to be an organization that has

0:20:16.640 --> 0:20:20.159
<v Speaker 1>the capacity to do a disproportionate amount of harm to

0:20:20.240 --> 0:20:24.440
<v Speaker 1>vulnerable populations. Finally, the cherry on top for bad Facebook

0:20:24.480 --> 0:20:27.919
<v Speaker 1>news comes out of Washington State. The Attorney General of

0:20:28.000 --> 0:20:31.399
<v Speaker 1>Washington has filed a lawsuit against Facebook, saying that the

0:20:31.440 --> 0:20:35.960
<v Speaker 1>company representatives have provided false testimony during a previous case

0:20:36.440 --> 0:20:41.440
<v Speaker 1>about whether or not the platform violated Washington's campaign finance laws.

0:20:41.480 --> 0:20:43.640
<v Speaker 1>So at the heart of the matter is how Facebook

0:20:43.680 --> 0:20:46.920
<v Speaker 1>sold political ads in the state of Washington. Washington state

0:20:47.000 --> 0:20:51.359
<v Speaker 1>law requires that any platform that sells ads space to

0:20:51.520 --> 0:20:56.040
<v Speaker 1>political campaigns has to provide information about the ads who

0:20:56.080 --> 0:21:00.879
<v Speaker 1>bought them, uh that their address. It has to also

0:21:00.920 --> 0:21:04.240
<v Speaker 1>have who were the ads meant to target, how many

0:21:04.320 --> 0:21:07.240
<v Speaker 1>views did those ads get. All of that information is

0:21:07.280 --> 0:21:11.000
<v Speaker 1>required by state law to be publicly available upon request.

0:21:11.480 --> 0:21:13.960
<v Speaker 1>Facebook is not complied with the full extent of that law.

0:21:14.560 --> 0:21:18.200
<v Speaker 1>You can request information about Facebook ads, but it doesn't

0:21:18.240 --> 0:21:22.600
<v Speaker 1>include all the points of data that Washington State law

0:21:22.720 --> 0:21:27.560
<v Speaker 1>calls for. The Company's lawyers facebooks lawyers argue that Washington's

0:21:27.720 --> 0:21:31.680
<v Speaker 1>law is unconstitutional, but the heart of this matter is

0:21:31.720 --> 0:21:36.840
<v Speaker 1>that the Attorney General says in that case, Facebook representatives

0:21:37.440 --> 0:21:42.480
<v Speaker 1>specifically gave false statements to questions asked of them, and

0:21:42.560 --> 0:21:45.520
<v Speaker 1>that therefore they are guilty of perjury. So this is

0:21:45.560 --> 0:21:49.240
<v Speaker 1>another part layer on top of everything else. So this

0:21:49.359 --> 0:21:51.880
<v Speaker 1>legal battle is ongoing. We will have to check back

0:21:51.920 --> 0:21:57.320
<v Speaker 1>in the future. Okay, there were other news stories today,

0:21:57.359 --> 0:22:00.679
<v Speaker 1>but honestly, all the Amazon and face Book stuff kind

0:22:00.720 --> 0:22:03.040
<v Speaker 1>of took all the wind out of my sales just

0:22:03.040 --> 0:22:08.159
<v Speaker 1>because it was just so much rough reporting on different things.

0:22:08.560 --> 0:22:11.960
<v Speaker 1>So we're gonna wrap it up here. Plus I can

0:22:12.640 --> 0:22:15.840
<v Speaker 1>here that the lawn maintenance folks are outside of my

0:22:15.880 --> 0:22:19.000
<v Speaker 1>house now, so it's gonna get progressively louder. My dog's

0:22:19.000 --> 0:22:21.400
<v Speaker 1>gonna join into it's just gonna be a free for all.

0:22:21.480 --> 0:22:25.159
<v Speaker 1>So um, while the noise level continually goes up in

0:22:25.160 --> 0:22:28.159
<v Speaker 1>this episode, if you have suggestions for topics I should

0:22:28.240 --> 0:22:31.120
<v Speaker 1>cover in the future, maybe like how weed whackers work,

0:22:31.280 --> 0:22:33.840
<v Speaker 1>for example. Don't know why that jumped to mind, let

0:22:33.920 --> 0:22:37.160
<v Speaker 1>me know. Send me a message on Twitter. The handle

0:22:37.200 --> 0:22:40.720
<v Speaker 1>for the show is text stuff h s W and

0:22:40.920 --> 0:22:44.960
<v Speaker 1>I'll garden again. I'm sorry, I'll talk to you again

0:22:45.800 --> 0:22:54.040
<v Speaker 1>really soon. Text Stuff is an i heart Radio production.

0:22:54.280 --> 0:22:57.119
<v Speaker 1>For more podcasts from my heart Radio, visit the i

0:22:57.200 --> 0:23:00.480
<v Speaker 1>heart Radio app, Apple Podcasts, or wherever you listen to

0:23:00.480 --> 0:23:01.399
<v Speaker 1>your favorite shows.