WEBVTT - Netflix Co-CEO Steps Down, Issues With 2016 Tesla Demo

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<v Speaker 1>I'm Caroline Higher, Bloomberg's World headquarters in New York, and

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<v Speaker 1>I'm Ed Ludlow in San Francisco. This is Bloomberg Technology. Netflix,

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<v Speaker 1>a story of subscriber growth and succession. We dig into

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<v Speaker 1>the earnings and the executive changes. As we learned Read

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<v Speaker 1>Hastings will step down as CO as CEO. Plus emails

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<v Speaker 1>from Elon Musk's shed light on his involvement in a

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<v Speaker 1>twenty sixteen demo that exaggerated autopilot capabilities clus the hacks

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<v Speaker 1>to stop hackers taking your money, and they're working. New

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<v Speaker 1>research shows that the fewer companies are paying ransoms, that

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<v Speaker 1>doesn't mean the number of attacks is actually down. We're

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<v Speaker 1>going to discuss that, but first let's dig in on

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<v Speaker 1>all of that, because it's interesting. We're getting succession planning

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<v Speaker 1>and a chairman remaining over at Texas Instruments is similar

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<v Speaker 1>for Netflix succession planning, unlike over at Disney. For many

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<v Speaker 1>would argue, it's interesting, therefore, to bring on Lucas Shore,

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<v Speaker 1>who so intimately understands this company and indeed the in

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<v Speaker 1>the workings of Read Hastings. He himself, of course, a

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<v Speaker 1>man who's focused on culture in so many ways. Lucas,

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<v Speaker 1>what you make of who now steps up, Greg taking

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<v Speaker 1>the co CEO roans and ultimately who's going to have

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<v Speaker 1>the ultimate decision making power here because he remains as

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<v Speaker 1>executive chairman. Yeah. Look, my assumption is that that Read

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<v Speaker 1>will say that that Ted and Greg get ultimate authority

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<v Speaker 1>there now the CEO obviously as chairman of the board,

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<v Speaker 1>as co founder, as a major shareholder. If there were

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<v Speaker 1>some huge transaction Netflix decided to sell itself by something significant,

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<v Speaker 1>I imagine Read would get would get more involved. But

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<v Speaker 1>he has been gradually stepping back from the day to

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<v Speaker 1>day operations of the company already. You know, he delegated

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<v Speaker 1>most of the Hollywood stuff to to Ted. He's put

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<v Speaker 1>Gregg in charge of these two big initiative advertising and

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<v Speaker 1>password sharing, And I think that's how the company is

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<v Speaker 1>mostly going to keep operating with sort of Gregg looking

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<v Speaker 1>at a lot of the kind of product and strategic fit,

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<v Speaker 1>Ted looking at a lot of the you know, the

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<v Speaker 1>more entertainment focused and programming operations. Hey, Lucas, let's think

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<v Speaker 1>about the forward looking nature of this, you know, because

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<v Speaker 1>Greg Peters kind of was already leading the charge on

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<v Speaker 1>the ad supported tier, already leading the charge on the

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<v Speaker 1>crackdown for password shared Ted Surrandos, the man about Hollywood

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<v Speaker 1>doing the deals, thinking about content, given the numbers we

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<v Speaker 1>just got, which was strong beats right, subscribers and on

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<v Speaker 1>the top line is post bond line a bit weaker.

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<v Speaker 1>Where will they focus their energies going forward? Fore, you know,

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<v Speaker 1>it's going to be continued execution on advertising because remember

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<v Speaker 1>that that app here is only two months old, so

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<v Speaker 1>that will be kind of improving some of the technology

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<v Speaker 1>behind it, you know, targeting sales. You know, it got

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<v Speaker 1>off to a relatively slow start, but I think they

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<v Speaker 1>like what they're seeing. It will be rolling out this

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<v Speaker 1>whole password crackdown, which I think is going to start

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<v Speaker 1>this quarter and really ramp up in the middle of

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<v Speaker 1>the year. Um, it's going to be kind of continuing

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<v Speaker 1>to try to improve of programming in certain areas. You know,

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<v Speaker 1>they've they've done really well recently on English language television programming,

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<v Speaker 1>not quite as well on the foreign language television programming.

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<v Speaker 1>I think they want to keep improving their hit rate

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<v Speaker 1>on movies because they release a lot of movies people

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<v Speaker 1>don't know, you know, don't watch. And then there's all

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<v Speaker 1>gaming piece of it, which is still a small part

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<v Speaker 1>of the business, but they're investing a lot of money

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<v Speaker 1>into it. I don't think you're going to see a

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<v Speaker 1>ton of news around that in twenty three, but it

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<v Speaker 1>is something that they will continue to talk about as

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<v Speaker 1>with the future. The one point I do want to

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<v Speaker 1>make is while they had a really strong final quarter

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<v Speaker 1>of the year, at least in terms of subscriber growth,

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<v Speaker 1>the thing to keep in mind, just sort of big picture,

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<v Speaker 1>is that for the full year, they did still post

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<v Speaker 1>their worst subscriber growth since two thousand eleven. Alright, bloom

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<v Speaker 1>bags Luke is sure great reporting on what's changing at

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<v Speaker 1>Netflix and good analysis of the numbers, which I think

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<v Speaker 1>we need more of. So let's bring a branding cats

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<v Speaker 1>industry analysts at Para Analytics. It's interesting the third party

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<v Speaker 1>data suggested that actually in the final three months of

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<v Speaker 1>last year, Netflix is facing great competition from likes of Warned,

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<v Speaker 1>Discovery and Disney, and actually demand over rule is starting

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<v Speaker 1>to pull back. Well, when you saw those net subscribing

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<v Speaker 1>ads for Netflix seven point seven million, what's your reaction, Brandon,

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<v Speaker 1>I'm still not totally surprised. I mean, Netflix has always

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<v Speaker 1>been savvy with its guidance. It likes to set the

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<v Speaker 1>stage for positive narratives, which we are now very much

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<v Speaker 1>engaging in. And we look at Netflix from our angle,

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<v Speaker 1>is still the streaming industry leader. It's the most global

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<v Speaker 1>surprise subscribers, and is the most in demand overall catalog

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<v Speaker 1>with US audiences in all of two and that includes

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<v Speaker 1>original and licensed movies and TV shows. And it also

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<v Speaker 1>still leads the entire industry in global original demand and

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<v Speaker 1>US original demands. So yes, that is shrinking as it

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<v Speaker 1>seeds ground to you know, very hungry competitors that are

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<v Speaker 1>gaining market share, but they still have a massive, massive lead.

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<v Speaker 1>And I think all the doom and gloom around Netflix

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<v Speaker 1>last April perhaps a bit premature, as we're seeing now

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<v Speaker 1>even with what Lucas accurately pointed out there a subscriber

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<v Speaker 1>total in a year since two thousand. Later, Lucas at

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<v Speaker 1>the end of his Bloomberg News report, uh summed up

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<v Speaker 1>the comments about the ads supported tier and they were

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<v Speaker 1>a little bit muted from Netflix there. Please, with the

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<v Speaker 1>progress on the ad supported tier, they're saying that it's

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<v Speaker 1>bringing in cost conscious consumers. Do you think that that

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<v Speaker 1>was part of the beat when it came to subscribe

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<v Speaker 1>a growth in the last three months of last year. Yeah,

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<v Speaker 1>and they even pointed out in their letter to shareholders

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<v Speaker 1>that they aren't seeing a lot of conversions from premium

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<v Speaker 1>subscriptions to add tiers, which is exactly what they wanted.

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<v Speaker 1>They want the ad tire to expand the total addressable

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<v Speaker 1>market from Netflix, and particularly at a time when consumers

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<v Speaker 1>are weighing concession fears and maybe our recession fears, maybe

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<v Speaker 1>a little bit more cost conscious. Now, yes, not the fastest,

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<v Speaker 1>most explosive rollout, but this is going to be a

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<v Speaker 1>must have for all advertisers looking to get into connect

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<v Speaker 1>the TVs and digital TVs. So we are going to

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<v Speaker 1>see that grow throughout. And we gotta remember they turned

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<v Speaker 1>around and from years of an anti ad stance and

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<v Speaker 1>created their ads here and only six months so there

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<v Speaker 1>is a lot of upward potential and room to grow here. Yeah.

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<v Speaker 1>Interesting in that earning statement they said, the early results

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<v Speaker 1>they say they're pleased with, but there's much still to do.

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<v Speaker 1>Can you run in any way talk about sort of

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<v Speaker 1>the culture of innovation over a Netflix, because that is

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<v Speaker 1>of course what we've come to know having read the

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<v Speaker 1>No Rules Rules Book by read Hastings himself. I mean

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<v Speaker 1>it's all about the way in which they set apart

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<v Speaker 1>on different corporate culture. Now it's interesting to compare. Should

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<v Speaker 1>we see succession planning with Disney Plus versus Netflix and

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<v Speaker 1>the kind of operate opposite end of the spectrum. But

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<v Speaker 1>we are seeing Disney Plus and Warner Brothers Discovery taking

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<v Speaker 1>chunks perotentially out of market share from Netflix. How can

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<v Speaker 1>Netflix ensure that it's stunding in goodstead to keep on growing,

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<v Speaker 1>keep on innovating, keep on personalizing. It's funny because Netflix

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<v Speaker 1>has always fanacied itself as the greatest disruptor in Hollywood history,

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<v Speaker 1>and now it's really reached a point where it is

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<v Speaker 1>recreating the playbook of its linear rivals instead of vice versa.

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<v Speaker 1>So the market emphasis has shifted obviously towards profit and revenue,

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<v Speaker 1>which they are clearly emphasizing, and their strategy and public

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<v Speaker 1>narrative has followed suits. So clearly they are adjusting to

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<v Speaker 1>the times. And frankly, they're in a better financial situation

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<v Speaker 1>than every other major streamer. They're the only one really

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<v Speaker 1>that's profitable at the moment. With Disney Plus, HBO, Max,

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<v Speaker 1>Paramount Plus and Peacock all looking at or beyond to

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<v Speaker 1>finally get into black. But in terms of continuing to grow,

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<v Speaker 1>they're really really going to emphasize not only the ads

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<v Speaker 1>here as a more cost effective alternative to cost conscious consumers,

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<v Speaker 1>not only password sharing, where if they convert just ten

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<v Speaker 1>percent of the hundred million or so password shairs, that's

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<v Speaker 1>ten million new subs. But they also want to continue

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<v Speaker 1>investing in non English content and create not just regional

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<v Speaker 1>hits that resonate with the Latin American market or Asia Pacific,

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<v Speaker 1>but that travel globally and we're seeing that steadily increase

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<v Speaker 1>in frequency over the past several quarters. Yeah, really interesting

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<v Speaker 1>to bring up the global perspective of this business. And

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<v Speaker 1>I think what's really interesting is the way in which

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<v Speaker 1>investors have started to buy in. And it was you

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<v Speaker 1>that was on Twitter just saying what we're off more

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<v Speaker 1>up from the lows that Netflix's share price that hit

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<v Speaker 1>analysts looking more far more on the buy side than

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<v Speaker 1>they are on the cull side in terms of ratings. Brandon,

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<v Speaker 1>from your geographical perspective, which leaders can they pull where

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<v Speaker 1>it's going to be growing the most at the moment.

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<v Speaker 1>Is it Latin, is it Asia Visa v U S Europe. Yeah,

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<v Speaker 1>I mean Netflix has years long unrivaled investments in overseas

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<v Speaker 1>content regions, so they really do have a lead on

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<v Speaker 1>the competition in that regard. Asia Pacific has been their

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<v Speaker 1>biggest growth arena over the last five or six corners quarters,

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<v Speaker 1>so they're going to continue to hyper focus on that. Obviously,

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<v Speaker 1>we've seen South Korea become a major international hub for content,

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<v Speaker 1>both his regional hits and hits that can hopefully translate

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<v Speaker 1>to the domestic audience as well. And then there's the

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<v Speaker 1>big White whale and streaming. Everyone is trying to crack

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<v Speaker 1>the code in India. Now. Netflix has gotten off to

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<v Speaker 1>a slow start there. They're behind Amazon and Disney Plus

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<v Speaker 1>in terms of market share, but they continue to experiment

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<v Speaker 1>with morbil only plans with six months and annual plans

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<v Speaker 1>that offer discounts, and they continue to invest in original

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<v Speaker 1>content that covers a variety of regional dialects. So they're

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<v Speaker 1>going to hyper focus on on that area while still

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<v Speaker 1>serving the areas that have proved to be fruitful to them,

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<v Speaker 1>such as Latin America. Alright, Para analytics industry analyst Brandon Cats,

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<v Speaker 1>I think we're gonna have being this conversation about the

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<v Speaker 1>future of Netflix for many weeks to come. Thank you

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<v Speaker 1>so much for joining the program. I want to bring

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<v Speaker 1>a quick correction to our audience, Caroline, because earlier we

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<v Speaker 1>showed a board of the share price of a T

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<v Speaker 1>and T, and after ours when we meant to show

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<v Speaker 1>T mobile, which is disclosed, it will take a significant

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<v Speaker 1>charge from a cybersecurity vulnerability that it disclosed in a

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<v Speaker 1>regulatory filing. After the market close. You can see in

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<v Speaker 1>your screen te Mobile down one point five percent. I

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<v Speaker 1>got my Bloomberg terminal in front of me and I

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<v Speaker 1>can confirm it's down one point five in after hours.

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<v Speaker 1>Will continue to track that story. Now coming up some

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<v Speaker 1>emails shedding light on Elon Musk's involvement in a twenty

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<v Speaker 1>sixteen demo. What does that mean for the ev maker?

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<v Speaker 1>Could it face probes? How does it market its technology?

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<v Speaker 1>Will discuss all of that next. This is Bloomberg. Quite

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<v Speaker 1>the scoop coming from Bloomberg use today. Elon Musk oversaw

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<v Speaker 1>the creation of a video that exaggerated the abilities of

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<v Speaker 1>Tesla's driver assistant system called Autopilot. He even dictated the

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<v Speaker 1>opening text that was claiming the company's car drove itself.

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<v Speaker 1>This is all according to internal emails viewed by Bloomberg

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<v Speaker 1>and our own Dana Hall is here to join us

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<v Speaker 1>and discuss your scoop DNA. And it's extraordinary, really the

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<v Speaker 1>relevancy that this still has, because what's six years on,

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<v Speaker 1>we're still debating whether autopilot is really what it says

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<v Speaker 1>it is. Yeah, and this is pretty extraordinary. I mean,

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<v Speaker 1>this video that I'm referring to is still on Tesla's website.

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<v Speaker 1>It's a pretty seminal video in the history of the company.

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<v Speaker 1>It is this, you know, a great video sent to

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<v Speaker 1>the tune of the Rolling Stone song um Painted Black.

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<v Speaker 1>It's still on Tessel's website, and it purports that this

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<v Speaker 1>car is driving itself and that the only reason why

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<v Speaker 1>a drivers in the cars for legal reasons. But what

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<v Speaker 1>we learned via these emails and via deposition that we

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<v Speaker 1>got a hold of this week is that, you know,

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<v Speaker 1>Musk really oversaw the production of this video, and dozens

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<v Speaker 1>of Tesla staffers were involved, and Musk himself wrote that

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<v Speaker 1>language that you see when the video first starts playing.

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<v Speaker 1>I want to go back to the basics of this

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<v Speaker 1>story because it's important so we're talking about some emails

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<v Speaker 1>that Elon Musque sent to quite a large group of

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<v Speaker 1>the Autopilot team. We have some of it that we

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<v Speaker 1>can bring up that I'll read you. Since this is

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<v Speaker 1>a demo, it is fine to hardcore code some of

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<v Speaker 1>it since we will backfill with production code later in

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<v Speaker 1>an O tier update O T over the air update.

0:12:03.800 --> 0:12:06.480
<v Speaker 1>What is Elon must talking about here? So this was

0:12:06.600 --> 0:12:08.600
<v Speaker 1>so the first email that we got is an email

0:12:08.640 --> 0:12:11.920
<v Speaker 1>that went out to the entire Autopilot team in mid October,

0:12:12.920 --> 0:12:15.439
<v Speaker 1>and he's basically like, all hands on deck for this demo,

0:12:15.480 --> 0:12:18.199
<v Speaker 1>and he's basically saying, don't worry, like we're going to

0:12:18.280 --> 0:12:20.319
<v Speaker 1>continue to work on this code. We're going to continue

0:12:20.320 --> 0:12:22.120
<v Speaker 1>to refine it we find it through over the air

0:12:22.200 --> 0:12:25.600
<v Speaker 1>updates and over their updates. Is something that Tesla regularly does.

0:12:26.280 --> 0:12:30.199
<v Speaker 1>But what's important is that nine days later he in

0:12:30.559 --> 0:12:33.040
<v Speaker 1>a second email, He's basically like, this is the language

0:12:33.080 --> 0:12:36.280
<v Speaker 1>that I want in the video, and the language is

0:12:37.280 --> 0:12:41.720
<v Speaker 1>basically ultimately saying this is going to drive itself. I'm

0:12:41.760 --> 0:12:44.400
<v Speaker 1>telling you where we are going to be rather than

0:12:44.440 --> 0:12:47.160
<v Speaker 1>where we are in this here and now. The here

0:12:47.200 --> 0:12:50.080
<v Speaker 1>and now. Dana is also that there's loads of probes

0:12:50.120 --> 0:12:54.760
<v Speaker 1>into autopilot right from various authorities in the US. Yeah,

0:12:54.800 --> 0:12:56.160
<v Speaker 1>so this is the this is the thing that I

0:12:56.160 --> 0:12:58.320
<v Speaker 1>think will be interesting to watch going forward. You have

0:12:58.440 --> 0:13:02.160
<v Speaker 1>sort of two simultaneous things happening. The first is families

0:13:02.200 --> 0:13:06.319
<v Speaker 1>of drivers that died in crashes where autopilot was engaged

0:13:06.440 --> 0:13:09.200
<v Speaker 1>or may have been engaged, are suing the company. I mean,

0:13:09.200 --> 0:13:12.680
<v Speaker 1>there are several civil cases ongoing, including the case of

0:13:12.679 --> 0:13:15.400
<v Speaker 1>Walter Huang, which is here in the Bay Area, and

0:13:15.400 --> 0:13:18.680
<v Speaker 1>that trial begins in March. And then secondly, you have

0:13:18.920 --> 0:13:22.120
<v Speaker 1>you know, NITZA and the California Department of Motor Vehicles

0:13:22.360 --> 0:13:24.959
<v Speaker 1>looking you know, autopilot kind of on two fronts, both

0:13:25.600 --> 0:13:28.520
<v Speaker 1>the technology itself as well as how it was marketed

0:13:28.520 --> 0:13:32.800
<v Speaker 1>to customers. And you know, bureaucracy moves very slowly. I

0:13:32.800 --> 0:13:35.000
<v Speaker 1>don't know what the latest is on those investigations, but

0:13:35.040 --> 0:13:38.560
<v Speaker 1>this is technology that has been you know, under scrutiny

0:13:38.600 --> 0:13:40.600
<v Speaker 1>for quite some time now, and I think what's what's

0:13:40.640 --> 0:13:43.439
<v Speaker 1>relevant is that, Okay, yes, we got emails that are

0:13:43.440 --> 0:13:46.439
<v Speaker 1>frankly six years old, but they are they show just

0:13:46.559 --> 0:13:50.120
<v Speaker 1>how heavily involved Musk himself was in the creation of

0:13:50.120 --> 0:13:52.000
<v Speaker 1>the video, the production of the video, and what the

0:13:52.080 --> 0:13:54.559
<v Speaker 1>language of the video was going to say. Alright, bloom

0:13:54.600 --> 0:13:57.280
<v Speaker 1>bags down the hole. Just terrific reporting alongside Seawan O.

0:13:57.400 --> 0:14:07.840
<v Speaker 1>Kaine is at in Austin. Thank you so much. Just

0:14:07.880 --> 0:14:10.760
<v Speaker 1>a few years ago people were writing stories about how

0:14:10.800 --> 0:14:13.080
<v Speaker 1>this is stigmatized and how people should not talk to

0:14:13.280 --> 0:14:16.440
<v Speaker 1>AI and this is creepy and strange. Now this is

0:14:16.440 --> 0:14:19.240
<v Speaker 1>not a question anymore. But again, now the question is

0:14:19.240 --> 0:14:21.600
<v Speaker 1>it okay to have any golfer? Is it okay to

0:14:21.640 --> 0:14:27.160
<v Speaker 1>have that outwork? Jenni Acuta, CEO of the AI chatbot Replica,

0:14:27.360 --> 0:14:29.640
<v Speaker 1>which we spoke to last week, And now let's bring

0:14:29.640 --> 0:14:32.240
<v Speaker 1>in Andrew Straight for more context on all of this,

0:14:32.400 --> 0:14:35.080
<v Speaker 1>because he's an Associate director of Emergent Technology and Industry

0:14:35.080 --> 0:14:38.080
<v Speaker 1>Practice over at the Aida Lovelace Institute in London, focusing

0:14:38.120 --> 0:14:41.440
<v Speaker 1>on research on policy on practice. Basically, sure and the

0:14:41.520 --> 0:14:44.360
<v Speaker 1>data and AI work for people, work for society. But

0:14:44.400 --> 0:14:47.640
<v Speaker 1>what's so fascinating about your background is you've long worked

0:14:47.640 --> 0:14:50.440
<v Speaker 1>in AI ethics, you've long worked in content moderation. You

0:14:50.520 --> 0:14:53.440
<v Speaker 1>worked DeepMind, such a standout AI performer over in the

0:14:53.520 --> 0:14:57.240
<v Speaker 1>UK and which is ultimately bought by alphabets. Google talk

0:14:57.280 --> 0:14:59.640
<v Speaker 1>to us about when we're thinking of chat gypt, when

0:14:59.640 --> 0:15:02.280
<v Speaker 1>we're thinking of replica and all the innovations around chatbots

0:15:02.280 --> 0:15:05.160
<v Speaker 1>and AI, are we up to speed with the ethical

0:15:05.280 --> 0:15:10.120
<v Speaker 1>ramifications here. It's a very good question. I would say

0:15:10.160 --> 0:15:12.640
<v Speaker 1>that in general, we have continued to not do the

0:15:12.680 --> 0:15:16.000
<v Speaker 1>best of jobs of communicating limitations and risks. These kinds

0:15:16.040 --> 0:15:20.800
<v Speaker 1>of technologies can raise people society. Um, these are very

0:15:20.800 --> 0:15:23.040
<v Speaker 1>exciting technologies. I think there's no doubt to say that

0:15:23.240 --> 0:15:26.480
<v Speaker 1>general models are raising all kinds of exciting applications from

0:15:26.480 --> 0:15:29.960
<v Speaker 1>home writing to co generation. But they are not magic.

0:15:30.040 --> 0:15:35.840
<v Speaker 1>They're built on hidden a process of labor that are

0:15:35.840 --> 0:15:39.720
<v Speaker 1>oftentimes relying on exploited and underpaid workers, and they can

0:15:39.760 --> 0:15:42.000
<v Speaker 1>have very serious impacts and people's society that needs to

0:15:42.000 --> 0:15:45.880
<v Speaker 1>be better communicated. So it's critical as developers these technologies,

0:15:45.880 --> 0:15:49.600
<v Speaker 1>as policymakers that we create the conditions for these technologies

0:15:49.640 --> 0:15:53.120
<v Speaker 1>to be beneficial to people in society. That's something we

0:15:53.160 --> 0:15:55.080
<v Speaker 1>certainly can see these technic these tech companies doing a

0:15:55.120 --> 0:15:58.120
<v Speaker 1>bit more of. Yeah, it feels like open AI, for example,

0:15:58.440 --> 0:16:02.480
<v Speaker 1>which is behind chatching Piece, is very much trying to

0:16:02.560 --> 0:16:05.520
<v Speaker 1>have the narrative of how do we ethically introduces, how

0:16:05.520 --> 0:16:08.560
<v Speaker 1>do we ensure that it's iterating at a safe pace?

0:16:09.240 --> 0:16:11.320
<v Speaker 1>But what more can be done where in the world,

0:16:11.360 --> 0:16:16.160
<v Speaker 1>for example, is working well with private, with public, with academics,

0:16:16.160 --> 0:16:20.520
<v Speaker 1>with governments, for example. It's a very good question. Um.

0:16:20.760 --> 0:16:23.160
<v Speaker 1>One thing I think that we can see more of

0:16:23.440 --> 0:16:27.160
<v Speaker 1>is initial consideration of the potential uses or misuses of

0:16:27.200 --> 0:16:30.040
<v Speaker 1>these technologies and building in safeguards that are meaningful to

0:16:30.360 --> 0:16:33.000
<v Speaker 1>prevent those misuses. So, to give up a credit, they

0:16:33.080 --> 0:16:35.960
<v Speaker 1>when they release chat GPT, they were very careful to

0:16:35.960 --> 0:16:38.800
<v Speaker 1>put in place safeguards to prevent certain types of toxic

0:16:38.920 --> 0:16:43.320
<v Speaker 1>or harmful content or dangerous content from being shared. But

0:16:43.640 --> 0:16:46.200
<v Speaker 1>as you can see, these these kinds of safeguards could

0:16:46.240 --> 0:16:49.520
<v Speaker 1>very quickly be overcome. If you typed in the appropriate response.

0:16:49.560 --> 0:16:51.920
<v Speaker 1>You could get chat GPT to give you instructions now

0:16:51.960 --> 0:16:55.320
<v Speaker 1>to make a Molotov cocktail or how to hotwire a car. Um.

0:16:55.400 --> 0:16:57.440
<v Speaker 1>And even more concerning is that it's not just the

0:16:57.480 --> 0:17:00.920
<v Speaker 1>story of chat GPT. Even if Chat GPT and Opening

0:17:00.920 --> 0:17:03.600
<v Speaker 1>Eye put in these kinds of of safeguards, other types

0:17:04.000 --> 0:17:07.639
<v Speaker 1>of companies doing creating generative models may not do the same.

0:17:08.280 --> 0:17:10.439
<v Speaker 1>So I think a few things are needed. One is

0:17:10.480 --> 0:17:13.520
<v Speaker 1>there needs to be more cross industry collaboration, communication and

0:17:13.520 --> 0:17:17.000
<v Speaker 1>discussion about the kinds of risk these technologies pose. There

0:17:17.040 --> 0:17:19.640
<v Speaker 1>needs to be more discussion and clarity of the kinds

0:17:19.680 --> 0:17:21.560
<v Speaker 1>of standards need to be met in order for these

0:17:21.560 --> 0:17:24.440
<v Speaker 1>technologies to be released safely. And there also needs to

0:17:24.440 --> 0:17:26.760
<v Speaker 1>be a bit more clarification and communication with members the

0:17:26.760 --> 0:17:29.439
<v Speaker 1>public about those impacts. Um I'm thinking particularly there of

0:17:29.560 --> 0:17:32.760
<v Speaker 1>educators and creators who are most impacted by these technologies

0:17:32.760 --> 0:17:35.560
<v Speaker 1>at the moment. And lastly, we need really strong and

0:17:35.560 --> 0:17:38.159
<v Speaker 1>stringent regulation. We do a lot of public attitude surveying

0:17:38.200 --> 0:17:40.399
<v Speaker 1>and research in our in our institute, and one of

0:17:40.440 --> 0:17:43.800
<v Speaker 1>the most clear messages that comes across is people want

0:17:43.880 --> 0:17:46.880
<v Speaker 1>regulation for AI. They want to feel safe, They want

0:17:46.880 --> 0:17:49.240
<v Speaker 1>to have some sense that government has a grip on

0:17:49.280 --> 0:17:52.000
<v Speaker 1>these technologies and is putting in place the right safeguards,

0:17:52.040 --> 0:17:55.080
<v Speaker 1>keep them, keep them stick, Andrew. The big news headline

0:17:55.160 --> 0:17:57.760
<v Speaker 1>that that I saw on Thursday today in the world

0:17:57.760 --> 0:18:00.800
<v Speaker 1>of AI was the FBI Director Chris A. Ray saying

0:18:00.840 --> 0:18:05.080
<v Speaker 1>he's deeply concerned about China's research in the field of

0:18:05.080 --> 0:18:07.840
<v Speaker 1>AI and it in it's AI program and what it

0:18:07.920 --> 0:18:12.479
<v Speaker 1>might use AI for an independent research group like yours.

0:18:12.880 --> 0:18:15.359
<v Speaker 1>Do you see what China is doing in the field

0:18:15.400 --> 0:18:18.119
<v Speaker 1>of AI is a worry. I think what the FBI

0:18:18.280 --> 0:18:21.000
<v Speaker 1>talking about here and broadly what others have talked about,

0:18:21.040 --> 0:18:23.879
<v Speaker 1>is the military applications of AI that could pose a

0:18:23.880 --> 0:18:29.760
<v Speaker 1>threat to society. It's a it's a concerning development, certainly

0:18:29.840 --> 0:18:32.399
<v Speaker 1>whenever you are kind of rushing into the use of

0:18:32.440 --> 0:18:35.159
<v Speaker 1>AI from military and times weapons. But it's important to

0:18:35.160 --> 0:18:39.040
<v Speaker 1>acknowledge that's not simply a China problem. Many militaries around

0:18:39.040 --> 0:18:41.840
<v Speaker 1>the world are are developing these kinds of technologies, again

0:18:42.000 --> 0:18:46.080
<v Speaker 1>oftentimes without much consideration for the kinds of race dynamics

0:18:46.119 --> 0:18:49.480
<v Speaker 1>that doing so can create between other countries. So in

0:18:49.520 --> 0:18:52.320
<v Speaker 1>the UK and the US, in other parts of the

0:18:52.320 --> 0:18:55.120
<v Speaker 1>world these kinds of Tina's weapons systems are being developed.

0:18:55.119 --> 0:18:58.040
<v Speaker 1>There are as I understand, it's some some excellent work

0:18:58.040 --> 0:19:00.560
<v Speaker 1>being done to develop ethical codes of practice groups like

0:19:00.600 --> 0:19:04.240
<v Speaker 1>them defense, but it is important to acknowledge that those

0:19:04.280 --> 0:19:06.520
<v Speaker 1>are are nut risks unique to China, that those are

0:19:06.600 --> 0:19:09.320
<v Speaker 1>very serious ethical and legal considerations that need to be

0:19:10.119 --> 0:19:13.199
<v Speaker 1>seriously considering the dress on the international level. All Right.

0:19:13.280 --> 0:19:17.200
<v Speaker 1>Andrew Straight, Associate Director of Emerging Technology and industry practice

0:19:17.400 --> 0:19:19.439
<v Speaker 1>at the aid of loves Lace Institry. Thank you for

0:19:19.440 --> 0:19:29.840
<v Speaker 1>staying up so late for us. Welcome back to the technology.

0:19:29.840 --> 0:19:32.280
<v Speaker 1>I'm Caroline Hyde in New York and I made lovelow

0:19:32.320 --> 0:19:34.879
<v Speaker 1>back in San Francisco. And let's get straight back to

0:19:34.960 --> 0:19:37.760
<v Speaker 1>the Netflix news and the future of the company and

0:19:37.840 --> 0:19:40.879
<v Speaker 1>Read Hastings and bring in John Klein, the CEO of

0:19:40.960 --> 0:19:44.560
<v Speaker 1>hang and a former president of CNN. Let's be honest

0:19:44.600 --> 0:19:46.680
<v Speaker 1>while we've got you on the show. You know this industry,

0:19:46.840 --> 0:19:49.080
<v Speaker 1>you know the names in the industry. There was a

0:19:49.119 --> 0:19:52.440
<v Speaker 1>big stock reaction to the news that Read Hastings would

0:19:52.440 --> 0:19:56.520
<v Speaker 1>step back as co CEO go to the executive chair position.

0:19:56.920 --> 0:20:00.119
<v Speaker 1>Greg Peters, a name well known, steps up to cocy

0:20:00.240 --> 0:20:02.680
<v Speaker 1>uh Um, what do you make of all of that?

0:20:02.880 --> 0:20:08.000
<v Speaker 1>Is just an example of good succession planning well. At first, Blush,

0:20:08.040 --> 0:20:10.919
<v Speaker 1>it feels like the opposite of the Bob Eiger situation,

0:20:10.960 --> 0:20:15.080
<v Speaker 1>where he decided to dive back into a horribly messy

0:20:15.320 --> 0:20:19.960
<v Speaker 1>macro environment in the hope of fixing it. Whereas Reid

0:20:20.000 --> 0:20:24.240
<v Speaker 1>looks like he is stepping back a little bit. But

0:20:24.280 --> 0:20:26.439
<v Speaker 1>then as you think about it a little further, you know,

0:20:26.520 --> 0:20:30.159
<v Speaker 1>an executive chairman is very different than a non executive chairman.

0:20:30.240 --> 0:20:33.240
<v Speaker 1>Executive chairman sort of says, I still have to clear

0:20:33.280 --> 0:20:35.399
<v Speaker 1>everything if I want to. I've still got an office

0:20:35.480 --> 0:20:37.919
<v Speaker 1>right there, and you're gonna see me all the time.

0:20:38.480 --> 0:20:42.480
<v Speaker 1>Plus the fact that they brought in a co CEO. Still,

0:20:42.840 --> 0:20:46.399
<v Speaker 1>I thought when they elevated Ted Serrando's to co CEO

0:20:46.480 --> 0:20:49.760
<v Speaker 1>that that was the sign that he was the success

0:20:50.359 --> 0:20:55.040
<v Speaker 1>So imagine now the idea that he was not the successor,

0:20:55.119 --> 0:20:57.800
<v Speaker 1>and in fact he's sort of pemmed in on both sides.

0:20:58.119 --> 0:21:00.240
<v Speaker 1>I don't know how that's gonna play out. I don't

0:21:00.240 --> 0:21:04.280
<v Speaker 1>know any of the psychology involved among these people, but

0:21:05.160 --> 0:21:08.280
<v Speaker 1>I just wonder how that's going to play out. John,

0:21:08.320 --> 0:21:11.440
<v Speaker 1>You've led sort of legacy traditional media companies, You've led

0:21:11.480 --> 0:21:15.840
<v Speaker 1>digital media companies. Um, where does Netflix sit right now?

0:21:15.880 --> 0:21:18.720
<v Speaker 1>For you? And I guess the leadership of this growing

0:21:18.800 --> 0:21:23.040
<v Speaker 1>and increasingly competitive field, you know, Disney, Warner Brother, Discovery.

0:21:23.080 --> 0:21:26.239
<v Speaker 1>The data shows they're growing. They're also considering whether they

0:21:26.240 --> 0:21:29.760
<v Speaker 1>aggressively spend, whether they pull back. You know, is Netflix

0:21:29.800 --> 0:21:32.400
<v Speaker 1>a healthy company despite kind of the shake up they've

0:21:32.440 --> 0:21:36.800
<v Speaker 1>had it management? Well, Netflix transform the entire media industry,

0:21:36.960 --> 0:21:39.240
<v Speaker 1>not so much by the content choice as they made,

0:21:39.520 --> 0:21:44.760
<v Speaker 1>but by deploying AI data crunching to better understand what

0:21:45.040 --> 0:21:47.320
<v Speaker 1>content they ought to make and how to market it.

0:21:47.600 --> 0:21:50.040
<v Speaker 1>So they belong in the Hall of Fame for that.

0:21:50.440 --> 0:21:55.359
<v Speaker 1>But I think everybody's ignoring TikTok. TikTok has passed Netflix

0:21:55.560 --> 0:22:00.880
<v Speaker 1>as the number two streaming choice for US audiences under

0:22:00.960 --> 0:22:07.080
<v Speaker 1>thirty five, and that is huge. Gen Z is part

0:22:07.080 --> 0:22:11.240
<v Speaker 1>of They are a tsunami and they're making their choices

0:22:11.320 --> 0:22:16.120
<v Speaker 1>with short form video that doesn't cost barely anything. And

0:22:16.119 --> 0:22:20.280
<v Speaker 1>and meantime, everybody's obsessing over Netflix subscriber growth, but the

0:22:21.520 --> 0:22:24.679
<v Speaker 1>people are voting with their with their swipey fingers. And

0:22:24.760 --> 0:22:28.280
<v Speaker 1>you know, I run a gen Z platform. Hang enables

0:22:28.560 --> 0:22:33.800
<v Speaker 1>fans to watch sports on TV alongside athletes and entertainers

0:22:33.800 --> 0:22:37.920
<v Speaker 1>and celebrities, and we spend next to nothing on content,

0:22:38.359 --> 0:22:42.199
<v Speaker 1>but we've grown one thousand x primarily with gen Z

0:22:42.720 --> 0:22:46.520
<v Speaker 1>users because they care about the immediate, they care about

0:22:46.840 --> 0:22:50.040
<v Speaker 1>meaningful moments, and they want to be able to dip

0:22:50.080 --> 0:22:52.560
<v Speaker 1>in and out whenever they feel like it. That's very

0:22:52.640 --> 0:22:57.720
<v Speaker 1>different than the beautifully constructed content models that all the

0:22:57.800 --> 0:23:01.160
<v Speaker 1>streaming the traditional streaming platform are using so I think

0:23:01.160 --> 0:23:04.480
<v Speaker 1>everybody's ignoring the TikTok elephant in the room. I think

0:23:04.520 --> 0:23:07.639
<v Speaker 1>that's really interesting ring that, John, because I always remember

0:23:07.680 --> 0:23:11.400
<v Speaker 1>the surprising competitor that Netflix used to reference was gaining

0:23:11.600 --> 0:23:13.720
<v Speaker 1>and really felt that that was where the eyeballs were.

0:23:13.760 --> 0:23:16.119
<v Speaker 1>And of course now setting up their own sort of

0:23:16.160 --> 0:23:19.120
<v Speaker 1>gaming focus, you're saying, look, it's actually really social media,

0:23:19.160 --> 0:23:21.679
<v Speaker 1>but this new generation of social media, and John, to

0:23:21.720 --> 0:23:23.640
<v Speaker 1>that point, let's talk about culture for a minute, because

0:23:23.640 --> 0:23:25.480
<v Speaker 1>you're someone who's had to think about this long and hard.

0:23:25.480 --> 0:23:28.200
<v Speaker 1>Whether you've been in the original media this CNN roles,

0:23:28.240 --> 0:23:30.840
<v Speaker 1>whether you're now with hanging thinking about cultivating that that

0:23:30.920 --> 0:23:34.280
<v Speaker 1>innovative style and and that's really also what Read Hastings

0:23:34.359 --> 0:23:36.000
<v Speaker 1>was known for was shaking things up when it comes

0:23:36.000 --> 0:23:38.000
<v Speaker 1>to a corporate culture, when it comes to reinventing the

0:23:38.000 --> 0:23:41.520
<v Speaker 1>way in which people have responsibility but also freedom. Are

0:23:41.560 --> 0:23:43.920
<v Speaker 1>they able to innovative? Are they innovator? Are they able

0:23:43.960 --> 0:23:47.040
<v Speaker 1>to take over and take on the likes of TikTok

0:23:47.200 --> 0:23:49.320
<v Speaker 1>and there are other competitors at the space with this

0:23:49.359 --> 0:23:52.440
<v Speaker 1>new leadership, do you think it's very, very difficult for

0:23:52.760 --> 0:23:57.440
<v Speaker 1>established incumbens to to change a culture but we've seen

0:23:57.480 --> 0:24:01.160
<v Speaker 1>it happen at Microsoft, and you know here they are

0:24:01.359 --> 0:24:04.600
<v Speaker 1>still players and and so it can be done, but

0:24:04.680 --> 0:24:07.119
<v Speaker 1>it's a big mission. It's a little harder to do

0:24:07.200 --> 0:24:09.760
<v Speaker 1>with three people at the top, which is what Netflix

0:24:09.800 --> 0:24:12.520
<v Speaker 1>now has. And and maybe I'm a little colored by

0:24:12.560 --> 0:24:14.800
<v Speaker 1>the fact that I am the media consultant for the

0:24:14.800 --> 0:24:19.880
<v Speaker 1>show's succession where it's always uh, some sort of diabolical,

0:24:20.000 --> 0:24:22.960
<v Speaker 1>underhanded goings on in the corporate suite and the living room.

0:24:23.640 --> 0:24:27.119
<v Speaker 1>But it just looks to me, you know, culture starts

0:24:27.119 --> 0:24:29.960
<v Speaker 1>at the very top. That's how cultures are set. It's

0:24:29.960 --> 0:24:31.880
<v Speaker 1>a big part of why I think Eiger came back

0:24:31.920 --> 0:24:35.600
<v Speaker 1>in because he was one man who one person who

0:24:35.920 --> 0:24:40.600
<v Speaker 1>created the culture and can enforce it. Um trickier when

0:24:40.600 --> 0:24:42.840
<v Speaker 1>you've got three, especially when you've got the founder of

0:24:42.880 --> 0:24:45.600
<v Speaker 1>the company still there. You know, when I ran CNN,

0:24:46.000 --> 0:24:48.639
<v Speaker 1>Ted Turner had not been there for a good ten years,

0:24:49.119 --> 0:24:53.560
<v Speaker 1>and it would have been kind of awkward for the

0:24:53.680 --> 0:24:58.040
<v Speaker 1>management to make decisions with the founder still sitting there.

0:24:58.520 --> 0:25:01.679
<v Speaker 1>He had a good grace to exit. A lot of

0:25:01.960 --> 0:25:06.159
<v Speaker 1>CEOs and founders realized that it's time to move on.

0:25:06.440 --> 0:25:08.840
<v Speaker 1>You know, when you're done, you're done. I'm not sure

0:25:08.920 --> 0:25:11.400
<v Speaker 1>how this is going to play out. Interesting you talk

0:25:11.440 --> 0:25:13.480
<v Speaker 1>about and it is such a question of corporate governance,

0:25:13.640 --> 0:25:16.800
<v Speaker 1>is also a question of bench now and better Bajaria,

0:25:17.000 --> 0:25:19.280
<v Speaker 1>that was an interesting move that now she takes the

0:25:19.400 --> 0:25:22.440
<v Speaker 1>role of chief content officer, having been heading up the

0:25:22.440 --> 0:25:26.440
<v Speaker 1>global TV side of Netflix. Content is king. We all

0:25:26.480 --> 0:25:28.760
<v Speaker 1>know that. So from your perspective, what are the innovative

0:25:28.760 --> 0:25:30.639
<v Speaker 1>ways she can think about content? Is she going to

0:25:30.720 --> 0:25:33.520
<v Speaker 1>have to start to think about how she keeps people

0:25:33.640 --> 0:25:37.399
<v Speaker 1>glued amid the distraction of social media? Well, you know

0:25:37.520 --> 0:25:40.080
<v Speaker 1>they're they're lucky and neclix And I guess I shouldn't

0:25:40.080 --> 0:25:43.159
<v Speaker 1>say lucky because it was on purpose. They have built

0:25:43.600 --> 0:25:51.240
<v Speaker 1>an incredible data capture and analytics engine that eliminates the

0:25:51.280 --> 0:25:55.000
<v Speaker 1>gut instinct of executives which are so often wrong. They're

0:25:55.080 --> 0:25:57.240
<v Speaker 1>usually wrong. Look at how many news shows are launched

0:25:57.280 --> 0:26:00.119
<v Speaker 1>on a TVCs and versus how many last even a

0:26:00.160 --> 0:26:04.400
<v Speaker 1>month um And I think what she's probably doing even

0:26:04.440 --> 0:26:07.720
<v Speaker 1>as we speak, is doubling down on drilling into those

0:26:07.960 --> 0:26:12.000
<v Speaker 1>thousands of different taste clusters that tell them what you

0:26:12.080 --> 0:26:15.119
<v Speaker 1>like to watch versus what ED likes to watch versus

0:26:15.160 --> 0:26:17.680
<v Speaker 1>what d other people like to watch, and you're all

0:26:17.720 --> 0:26:21.960
<v Speaker 1>getting hit with different suggestions and each presented in a

0:26:22.040 --> 0:26:25.000
<v Speaker 1>different way because they also understand what kind of thumbnail

0:26:25.040 --> 0:26:28.840
<v Speaker 1>pictures you respond to, what kind of previews and highlights

0:26:28.960 --> 0:26:33.080
<v Speaker 1>you tend to click on, rather than anybody else. So

0:26:33.440 --> 0:26:35.919
<v Speaker 1>they say, everybody gets their own Netflix, and that's true.

0:26:36.800 --> 0:26:40.160
<v Speaker 1>That's an advantage for Netflix in in kind of figuring

0:26:40.160 --> 0:26:42.960
<v Speaker 1>their way through this desert. They've doubled down on the

0:26:43.000 --> 0:26:47.920
<v Speaker 1>amount of Korean programming that they're buying now, and that's

0:26:47.960 --> 0:26:51.440
<v Speaker 1>because their algorithms are telling them to do that. So

0:26:51.600 --> 0:26:54.160
<v Speaker 1>you were just talking a lot about AI. Another way

0:26:54.160 --> 0:26:57.240
<v Speaker 1>that a I impacts the entertainment industry and and will

0:26:57.280 --> 0:27:01.200
<v Speaker 1>do even more moving forward, is by its ability to

0:27:01.240 --> 0:27:05.200
<v Speaker 1>make us dumb humans have insights that we never could

0:27:05.200 --> 0:27:08.840
<v Speaker 1>have achieved. Do our own interesting all about the tech

0:27:08.840 --> 0:27:11.880
<v Speaker 1>backbone here and sendly something you're interweaving with Hang. I'm sure,

0:27:11.880 --> 0:27:14.480
<v Speaker 1>of course the sports streaming eventually you're now doing. Co

0:27:14.640 --> 0:27:17.800
<v Speaker 1>founder CEO of Hang, John Klein, we thank you so much.

0:27:18.359 --> 0:27:20.720
<v Speaker 1>Let's pivot here a little bit and let's talk about

0:27:21.240 --> 0:27:24.040
<v Speaker 1>well AI. We've already been worrying about its implications to

0:27:24.119 --> 0:27:27.399
<v Speaker 1>cyber let's talk about cyber attacks more generally now still

0:27:27.440 --> 0:27:29.959
<v Speaker 1>a big concern these days, but few of your companies

0:27:30.000 --> 0:27:33.520
<v Speaker 1>are actually infected with ransomware. Then they're actually having to

0:27:33.600 --> 0:27:36.560
<v Speaker 1>yield to the extortion payments demanded by the hackers. That's

0:27:36.560 --> 0:27:40.240
<v Speaker 1>according to new research on the blockchain forensics firm Chain Analysis.

0:27:40.600 --> 0:27:43.640
<v Speaker 1>What's the reason behind this? Jackie Cohen's with us, head

0:27:43.640 --> 0:27:46.960
<v Speaker 1>of cyber threat intelligence at Chain Analysis. Wonderful Jackie to

0:27:46.960 --> 0:27:48.800
<v Speaker 1>have you right here in the studio and just talk

0:27:48.840 --> 0:27:52.600
<v Speaker 1>to us a little bit. Ransomware, Well, ransom attacks haven't

0:27:53.440 --> 0:27:56.360
<v Speaker 1>died down, but it feels as though companies have some

0:27:56.440 --> 0:27:58.440
<v Speaker 1>of the protections in place to stop them having to

0:27:58.520 --> 0:28:01.520
<v Speaker 1>hand over crypto or whatever they're being asful exactly. It's

0:28:01.800 --> 0:28:04.720
<v Speaker 1>rare we get a good news story associated with ransomware,

0:28:04.720 --> 0:28:07.719
<v Speaker 1>and so it was encouraging to see our results this

0:28:07.800 --> 0:28:11.040
<v Speaker 1>year in terms of ransoms being dulled out, it has

0:28:11.160 --> 0:28:15.399
<v Speaker 1>decreased significantly, as much as forty However, that's not to

0:28:15.400 --> 0:28:18.600
<v Speaker 1>say that ransomware attacks are on the decline. They're actually

0:28:18.640 --> 0:28:22.760
<v Speaker 1>on par or maybe slightly depressed of since last year.

0:28:23.000 --> 0:28:27.119
<v Speaker 1>So what this means is that victims, representatives of victims

0:28:27.160 --> 0:28:30.280
<v Speaker 1>and their insurers are deciding not to pay, and that's

0:28:30.320 --> 0:28:34.120
<v Speaker 1>in part because of concern over sanctions whether they're paying

0:28:34.119 --> 0:28:38.120
<v Speaker 1>a sanctioned entity, but also they're better defended, most of

0:28:38.120 --> 0:28:41.520
<v Speaker 1>them to be able to recover without having to pay

0:28:41.560 --> 0:28:45.200
<v Speaker 1>the ransoms. Jackie, I want to go back some breaking

0:28:45.240 --> 0:28:48.160
<v Speaker 1>news we've got in the last hour or so, which

0:28:48.240 --> 0:28:52.320
<v Speaker 1>mood markets. T Mobile is disclosed that a hacker obtained

0:28:52.440 --> 0:28:56.800
<v Speaker 1>thirty seven million customer accounts data, but it did not

0:28:56.960 --> 0:29:00.920
<v Speaker 1>include payment or card information. The company saying that it

0:29:01.000 --> 0:29:04.880
<v Speaker 1>discovered the hack back on January five. It traced that

0:29:04.880 --> 0:29:07.960
<v Speaker 1>hack to the source and stopped it within a single day.

0:29:08.280 --> 0:29:12.960
<v Speaker 1>They're investigating, but saying early indications that this threat was

0:29:13.040 --> 0:29:15.960
<v Speaker 1>able to obtain the information through a single entry point

0:29:16.080 --> 0:29:20.080
<v Speaker 1>serving customer data. It did not breach the company systems

0:29:20.160 --> 0:29:23.040
<v Speaker 1>or network. I'll ask you, PAS for your reaction to that.

0:29:23.120 --> 0:29:25.800
<v Speaker 1>You know, the information that we have, How common is

0:29:25.840 --> 0:29:31.080
<v Speaker 1>that as a threat that Corporate America Global corporate space. Yeah, unfortunately,

0:29:31.120 --> 0:29:33.959
<v Speaker 1>we do see victims get re victimized. I believe this

0:29:34.000 --> 0:29:37.880
<v Speaker 1>is not the first data breach that has affected T Mobile,

0:29:38.000 --> 0:29:41.080
<v Speaker 1>And what this goes on to to prove is that

0:29:41.200 --> 0:29:46.600
<v Speaker 1>the underground economy that is fueling data breaches and including ransomware,

0:29:47.080 --> 0:29:49.840
<v Speaker 1>is still thriving. There are still threat actors out there

0:29:49.920 --> 0:29:52.800
<v Speaker 1>that are able to sell data for money, whether or

0:29:52.840 --> 0:29:57.720
<v Speaker 1>not they encrypt the victims systems, and there are vibrant

0:29:57.720 --> 0:30:02.400
<v Speaker 1>markets selling user credential as for various purposes. And we

0:30:02.440 --> 0:30:06.480
<v Speaker 1>cannot let our defenses down in despite the promising news

0:30:06.560 --> 0:30:09.680
<v Speaker 1>that we be uncovered in two can you tell us

0:30:09.680 --> 0:30:12.520
<v Speaker 1>about the defenses being used and how we're able to

0:30:12.600 --> 0:30:15.480
<v Speaker 1>keep up with ransomware? With these new threats that Corporate

0:30:15.520 --> 0:30:20.240
<v Speaker 1>America does face and individuals house insurance protecting us, now,

0:30:20.280 --> 0:30:22.160
<v Speaker 1>how are we able to ensure that we feel we

0:30:22.160 --> 0:30:24.640
<v Speaker 1>don't have to call full for the money every time. Well,

0:30:24.680 --> 0:30:27.520
<v Speaker 1>part of it is that insurance companies are now being

0:30:27.560 --> 0:30:31.200
<v Speaker 1>more stringent about the companies that they cover, and then

0:30:31.240 --> 0:30:36.000
<v Speaker 1>in order to cover them, they must incur some security practices.

0:30:36.040 --> 0:30:39.000
<v Speaker 1>They must have backups is a big one, so that

0:30:39.280 --> 0:30:42.320
<v Speaker 1>if the systems do go down, that the company can

0:30:42.440 --> 0:30:47.440
<v Speaker 1>very quickly recover and resume resume businesses. It's not full proof. Um,

0:30:47.520 --> 0:30:51.600
<v Speaker 1>there's no organization or company that is immune unfortunately, and

0:30:52.600 --> 0:30:55.200
<v Speaker 1>companies need to have a plan what happens if they

0:30:55.240 --> 0:30:57.040
<v Speaker 1>do get attacked, how are you going to handle it?

0:30:57.040 --> 0:31:01.240
<v Speaker 1>From illegal pr as well as a security standpoint, and

0:31:01.480 --> 0:31:03.720
<v Speaker 1>go back to the roots of how crypto is involved

0:31:03.760 --> 0:31:05.920
<v Speaker 1>in all of this, because much of the aggravation from

0:31:05.920 --> 0:31:08.480
<v Speaker 1>the crypto community is that it's always tarnished with money

0:31:08.520 --> 0:31:12.000
<v Speaker 1>and laundering speculation and used to drug money, etcetera. But

0:31:12.040 --> 0:31:13.800
<v Speaker 1>the whole beauty of crypto is that you're meant to

0:31:13.800 --> 0:31:16.160
<v Speaker 1>be able to see where it goes, how much is

0:31:16.160 --> 0:31:18.880
<v Speaker 1>the washing still happening, how we're able to ensure that

0:31:19.040 --> 0:31:21.480
<v Speaker 1>the money is moving, and we're able to see who's

0:31:21.520 --> 0:31:24.160
<v Speaker 1>actually at the bad acting front of this. Right, We've

0:31:24.200 --> 0:31:29.280
<v Speaker 1>actually calculated this year that of illicit cryptocurrency use reached

0:31:29.320 --> 0:31:33.440
<v Speaker 1>an all time high. However, only point to four percent

0:31:33.600 --> 0:31:37.920
<v Speaker 1>of all cryptocurrency activity was illicit, and so while the

0:31:38.040 --> 0:31:41.160
<v Speaker 1>raw numbers did increase overall, it is a very small

0:31:41.200 --> 0:31:43.960
<v Speaker 1>fraction and we're only able to calculate that because of

0:31:43.960 --> 0:31:48.840
<v Speaker 1>the transparency of cryptocurrency in the blockchain, and that also

0:31:49.080 --> 0:31:53.080
<v Speaker 1>enables us to track bad actors, to recover funds, to

0:31:53.520 --> 0:31:59.040
<v Speaker 1>pinpoint which cryptocurrency exchanges are our rogue or be able

0:31:59.040 --> 0:32:02.080
<v Speaker 1>to dismantle, and like we did UH like the bits

0:32:02.160 --> 0:32:05.960
<v Speaker 1>Latto exchange yesterday, which was taken down as far as

0:32:05.960 --> 0:32:12.200
<v Speaker 1>an international action dismantled by international law enforcement agencies UM

0:32:12.640 --> 0:32:15.720
<v Speaker 1>also the hydro darknet marketplace, which was taken down to

0:32:15.800 --> 0:32:19.640
<v Speaker 1>We're able to have these successes because of the traceability,

0:32:19.760 --> 0:32:24.960
<v Speaker 1>and it's only a small fraction of overall cryptocurrency activity today, Jackie.

0:32:24.960 --> 0:32:28.200
<v Speaker 1>We started the year with the fascinating conversation with Jenny Stilly,

0:32:28.520 --> 0:32:31.800
<v Speaker 1>the director of SISSA, and her message at CS was

0:32:32.120 --> 0:32:34.400
<v Speaker 1>the private sector has to do a lot more, right

0:32:34.440 --> 0:32:37.640
<v Speaker 1>from when you're designing your producted its origins through to

0:32:37.680 --> 0:32:40.360
<v Speaker 1>how you conduct business. That's why she was there in

0:32:40.440 --> 0:32:42.640
<v Speaker 1>Vegas to kind of get that message. Then, do you

0:32:42.680 --> 0:32:45.880
<v Speaker 1>see the private sector doing enough to ward off the

0:32:45.920 --> 0:32:49.280
<v Speaker 1>threats that you yourself are warning about Now? I really

0:32:49.400 --> 0:32:55.240
<v Speaker 1>view this year's findings of two's ransomware payments on the

0:32:55.280 --> 0:33:00.080
<v Speaker 1>decline as a representative of public and private sector for

0:33:00.120 --> 0:33:05.280
<v Speaker 1>it's working together. We have government entities doing takedowns and sanctions.

0:33:05.480 --> 0:33:10.000
<v Speaker 1>We have private sector partners, insurance companies tightening UH as

0:33:10.000 --> 0:33:13.680
<v Speaker 1>far as what they're willing to pay, being adhering to

0:33:14.040 --> 0:33:17.920
<v Speaker 1>to sanctions concerns as well. As the research community that

0:33:18.080 --> 0:33:22.360
<v Speaker 1>is actively finding vulnerabilities in the encryption that these ransomer

0:33:22.400 --> 0:33:25.800
<v Speaker 1>actors are using. And it really is that fine balance

0:33:26.280 --> 0:33:31.320
<v Speaker 1>of not um not penalizing victims, but being able to

0:33:31.360 --> 0:33:35.000
<v Speaker 1>help them when needed um. It's it's been a really

0:33:35.000 --> 0:33:38.800
<v Speaker 1>phenomenal public and private sector effort, and we rarely get

0:33:38.840 --> 0:33:43.400
<v Speaker 1>the opportunity to quantify what that impact is. Jackie, great

0:33:43.400 --> 0:33:45.480
<v Speaker 1>to have you here in the studio, Jackie Coven think

0:33:45.480 --> 0:33:48.640
<v Speaker 1>you had a slider threat intelligence hutch analysis. I mean

0:33:48.640 --> 0:33:52.000
<v Speaker 1>while coming up the tech behind fake neat and why

0:33:52.040 --> 0:33:55.320
<v Speaker 1>the industry but love by Silicon Body VCS. It's now

0:33:55.400 --> 0:34:08.000
<v Speaker 1>prestling back. We have got to talk about Bloomberg's Big

0:34:08.040 --> 0:34:10.560
<v Speaker 1>Take because it is one of the most read across

0:34:10.680 --> 0:34:13.440
<v Speaker 1>all of our platforms. But it's also about the big

0:34:13.560 --> 0:34:16.319
<v Speaker 1>fake meat a few years ago. Just remember lap made

0:34:16.360 --> 0:34:19.319
<v Speaker 1>meat seemed poised up in the world's one trillion dollar

0:34:19.360 --> 0:34:22.840
<v Speaker 1>meat industry, and now it's belling to look like a fads.

0:34:22.920 --> 0:34:26.400
<v Speaker 1>Tina Shanka wrote the Big Take, joining us, and ultimately

0:34:26.400 --> 0:34:28.520
<v Speaker 1>this is a technology story. It was an idea that

0:34:28.560 --> 0:34:30.799
<v Speaker 1>you could use laboratories, you could use innovation to be

0:34:30.840 --> 0:34:32.919
<v Speaker 1>able to get something that felt and tasted like meat,

0:34:32.960 --> 0:34:36.359
<v Speaker 1>but wasn't had a better footprint on the environment. Now

0:34:36.480 --> 0:34:38.919
<v Speaker 1>we're all putting that we hope that maybe actually lab

0:34:39.000 --> 0:34:41.400
<v Speaker 1>grown like from sells meat is going to be our answer,

0:34:41.520 --> 0:34:45.200
<v Speaker 1>because it feels like Beyond Meat, for example, didn't grow

0:34:45.239 --> 0:34:49.359
<v Speaker 1>in the right way. That's right. Basically, we had these

0:34:49.360 --> 0:34:53.120
<v Speaker 1>founders come out. Ethan Brown founded Beyond Meat in two

0:34:53.160 --> 0:34:55.200
<v Speaker 1>thousand nine, pet Brown in two thousand and eleven with

0:34:55.239 --> 0:34:59.080
<v Speaker 1>impassable Foods, and they made these really big premises. Ethan

0:34:59.120 --> 0:35:04.239
<v Speaker 1>Brown talked about basically copying the structure of meat, but

0:35:04.400 --> 0:35:07.840
<v Speaker 1>doing it with parts that he extracted from plants. Pat

0:35:07.840 --> 0:35:12.800
<v Speaker 1>Brown talked about him which is found in large concentrations

0:35:12.960 --> 0:35:14.839
<v Speaker 1>in in red meat, and he was going to make

0:35:14.880 --> 0:35:18.920
<v Speaker 1>it with a genetically modified yeast and soy and it

0:35:18.960 --> 0:35:21.879
<v Speaker 1>would be uh soily. He like hemoglobin, what he called

0:35:21.960 --> 0:35:24.480
<v Speaker 1>his magic ingredient, and this was going to give his

0:35:24.600 --> 0:35:30.160
<v Speaker 1>burgers this meaty taste. And both companies promised to basically

0:35:30.320 --> 0:35:33.439
<v Speaker 1>up end uh well impossible really went out and said

0:35:33.440 --> 0:35:36.640
<v Speaker 1>they were gonna upbend animal agriculture. Ethan Brown's promises were

0:35:36.640 --> 0:35:40.040
<v Speaker 1>more along the lines of saving uh the world from

0:35:40.400 --> 0:35:46.560
<v Speaker 1>health and environmental disasters. Yeah, just just just little things. UM.

0:35:46.680 --> 0:35:49.879
<v Speaker 1>And that they were going to create products that were

0:35:50.440 --> 0:35:54.279
<v Speaker 1>so identical to the meat that people love that people

0:35:54.320 --> 0:35:59.759
<v Speaker 1>would just swap them in um and sidestep the animal. UM.

0:35:59.760 --> 0:36:02.480
<v Speaker 1>It really hasn't worked out that way. And I think

0:36:02.520 --> 0:36:06.000
<v Speaker 1>most people would agree that these burghers are more a

0:36:06.000 --> 0:36:09.840
<v Speaker 1>lot closer to beef than you know, their forebears, UM,

0:36:09.920 --> 0:36:13.439
<v Speaker 1>like say like morning Star farms from Kellogg. But they're

0:36:13.560 --> 0:36:18.000
<v Speaker 1>they're certainly not close enough and meat eaters just aren't

0:36:18.000 --> 0:36:20.600
<v Speaker 1>that interested or as one expert told me, he said,

0:36:20.800 --> 0:36:24.040
<v Speaker 1>they're just not that into it. Adina. You know, Ethan

0:36:24.080 --> 0:36:27.959
<v Speaker 1>Brown likened it to technology doing away with the horse

0:36:28.000 --> 0:36:30.360
<v Speaker 1>pawn cart, right, that what they were doing in the

0:36:30.480 --> 0:36:33.160
<v Speaker 1>lab would change what's on our plate, do away with

0:36:33.160 --> 0:36:35.120
<v Speaker 1>the meat. I guess it's not quite materialized. We ask

0:36:35.160 --> 0:36:38.439
<v Speaker 1>our own audience, you know what their attitude is too,

0:36:39.080 --> 0:36:43.520
<v Speaker 1>lab grown, lab generated meat. That's the answer for center.

0:36:43.560 --> 0:36:48.440
<v Speaker 1>Respondents said, you know, uh, does you're reporting back up

0:36:48.600 --> 0:36:51.239
<v Speaker 1>the findings of that poll. What is the attitude of

0:36:51.280 --> 0:36:56.200
<v Speaker 1>consumers right now? So basically the market for these products

0:36:56.360 --> 0:36:59.879
<v Speaker 1>is is declining. People UM. A lot of people tried

0:37:00.000 --> 0:37:01.800
<v Speaker 1>them when they first came out, they were really excited

0:37:01.840 --> 0:37:05.719
<v Speaker 1>about them um. And now people are moving away and

0:37:05.760 --> 0:37:08.520
<v Speaker 1>they're going either to maybe they maybe they want to

0:37:08.600 --> 0:37:10.720
<v Speaker 1>keep their meat consumption down, so they're going to something

0:37:10.719 --> 0:37:14.319
<v Speaker 1>like say like lentils or beans um, or maybe they

0:37:14.360 --> 0:37:16.960
<v Speaker 1>are going to chicken, which is less expensive than these

0:37:16.960 --> 0:37:20.359
<v Speaker 1>products and certainly less expensive than beef. A lot of

0:37:20.360 --> 0:37:23.560
<v Speaker 1>people try the products once or maybe even twice, but

0:37:23.600 --> 0:37:26.080
<v Speaker 1>they just don't stick with it. It just does not

0:37:26.440 --> 0:37:29.319
<v Speaker 1>stay as part of their normal routine. The people that

0:37:29.360 --> 0:37:32.399
<v Speaker 1>eat the most of this stuff are vegans and vegetarians,

0:37:32.400 --> 0:37:36.400
<v Speaker 1>who were very much not the target. Interesting and I

0:37:36.400 --> 0:37:39.480
<v Speaker 1>have to say, like from a lincdotal evidence, you know,

0:37:39.719 --> 0:37:42.640
<v Speaker 1>we pour in a lot of beyond meat and impossible

0:37:42.680 --> 0:37:44.520
<v Speaker 1>into our family home, largely because we've got an a

0:37:44.680 --> 0:37:47.480
<v Speaker 1>pair who's vegetarian. But also my husband really didn't like

0:37:47.520 --> 0:37:49.400
<v Speaker 1>the way that meat made him feel. He wanted to

0:37:49.440 --> 0:37:52.600
<v Speaker 1>cut down. But ultimately they weren't kind of healthy enough,

0:37:52.760 --> 0:37:55.960
<v Speaker 1>like they didn't felt like lentils was a better option. Ultimately,

0:37:56.360 --> 0:38:00.960
<v Speaker 1>all these companies trying to uproot themselves, are they trying

0:38:01.040 --> 0:38:04.160
<v Speaker 1>to change, to listen to feedback, to innovate that little

0:38:04.160 --> 0:38:07.240
<v Speaker 1>bit more or is it all just going to go quat? Well,

0:38:07.400 --> 0:38:10.920
<v Speaker 1>yes they do. They do talk about more innovation um,

0:38:11.000 --> 0:38:15.480
<v Speaker 1>and they constantly release new versions. Um. You know the

0:38:15.480 --> 0:38:18.040
<v Speaker 1>Beyond Burger. There's a new Beyond Burger almost every year

0:38:18.080 --> 0:38:21.520
<v Speaker 1>that they say, Um, this one's gonna be juicier, moister,

0:38:21.600 --> 0:38:25.719
<v Speaker 1>or more meat like. Um. And Impossible also does the

0:38:25.760 --> 0:38:29.360
<v Speaker 1>same thing. They also say by doing some of the improvements,

0:38:29.400 --> 0:38:32.480
<v Speaker 1>were also going to make it healthier. But I think

0:38:32.520 --> 0:38:35.840
<v Speaker 1>for a lot of people the the idea of further

0:38:35.920 --> 0:38:39.759
<v Speaker 1>processing is sort of antithetical to making it healthier and

0:38:39.840 --> 0:38:43.400
<v Speaker 1>so um that they might say lower the calories or

0:38:43.440 --> 0:38:46.000
<v Speaker 1>lower the sodium, but that doesn't change whether or not

0:38:46.040 --> 0:38:50.320
<v Speaker 1>it's an ultra processed food. Dana, such great reporting. Fascinating

0:38:50.360 --> 0:38:52.480
<v Speaker 1>to see how the McDonald's deals and this, that and

0:38:52.480 --> 0:39:03.960
<v Speaker 1>the other. Go to Dana Shanka, thank you. Going viral

0:39:04.000 --> 0:39:07.240
<v Speaker 1>today is the influx of venture countal money flowing towards

0:39:07.280 --> 0:39:10.800
<v Speaker 1>social media apps focus on happiness. Take the Berlin based

0:39:10.840 --> 0:39:14.200
<v Speaker 1>Slay app, which lets users send anonymous compliments just raise

0:39:14.239 --> 0:39:16.880
<v Speaker 1>two point six million dollars. Slave reached number one on

0:39:16.920 --> 0:39:20.319
<v Speaker 1>the German iOS app store four days after launch. Then

0:39:20.400 --> 0:39:23.080
<v Speaker 1>there's Gas, an app bought by Discord this week. It's

0:39:23.080 --> 0:39:25.279
<v Speaker 1>here in the US, and it uses anonymous polling to

0:39:25.400 --> 0:39:29.279
<v Speaker 1>send compliments and boost components of users. These apps, said,

0:39:29.320 --> 0:39:31.879
<v Speaker 1>are just putting kind of a spin on social media

0:39:31.960 --> 0:39:35.480
<v Speaker 1>landscape that has kind of improven to thrive on toxicity.

0:39:35.520 --> 0:39:38.120
<v Speaker 1>And I think it's gonna be so fascinating to see

0:39:38.160 --> 0:39:41.799
<v Speaker 1>how basically the science of happiness of kindness, it makes

0:39:41.840 --> 0:39:44.359
<v Speaker 1>you feel good as well as the other person feel good.

0:39:44.640 --> 0:39:47.600
<v Speaker 1>And I wonder if advertisers get into that too. Yeah,

0:39:47.640 --> 0:39:50.600
<v Speaker 1>I mean, Discord's ownership of it is being debated out there.

0:39:50.640 --> 0:39:52.400
<v Speaker 1>But the data behind this was staggering. So in the

0:39:52.400 --> 0:39:55.960
<v Speaker 1>month of October, apparently the app was adding thirty thousand

0:39:55.960 --> 0:39:59.000
<v Speaker 1>new users per hour in October, you know, it's reaching

0:39:59.040 --> 0:40:01.319
<v Speaker 1>a million. And I think everyone needed some feel good

0:40:01.320 --> 0:40:03.200
<v Speaker 1>at that time, right when Twitter was kind of all

0:40:03.280 --> 0:40:05.799
<v Speaker 1>up in the air. And yeah, an interesting one. As

0:40:05.800 --> 0:40:07.840
<v Speaker 1>I say, the kids are going to save us. Keep

0:40:07.920 --> 0:40:12.360
<v Speaker 1>on growing those sorts of happiness and positive apps out there. Meanwhile,

0:40:13.160 --> 0:40:15.839
<v Speaker 1>that does it for this edition of Boomberg Technology. Yes,

0:40:15.880 --> 0:40:18.280
<v Speaker 1>so something very special coming up Friday at noon, Easton

0:40:18.320 --> 0:40:20.480
<v Speaker 1>will round up the biggest tech news of the week

0:40:20.520 --> 0:40:23.759
<v Speaker 1>on our weekly Twitter spaces, Carrol, We've loved doing this,

0:40:24.040 --> 0:40:28.040
<v Speaker 1>hosting our biggest names across Bloomberg News, Bloomberg Intelligence, and

0:40:28.160 --> 0:40:31.480
<v Speaker 1>if you're lucky, if you're lucky, this Friday, we will

0:40:31.520 --> 0:40:34.920
<v Speaker 1>have a special surprise guest in our Twitter spaces. Yeah,

0:40:34.960 --> 0:40:36.560
<v Speaker 1>we're going to talk a bit of VC, the biggest

0:40:36.560 --> 0:40:41.680
<v Speaker 1>stories and let's also interesting anything I'm not promising, I'm promising.

0:40:42.280 --> 0:40:44.279
<v Speaker 1>Tune in and you'll find out this is Bloomberg