1 00:00:45,678 --> 00:00:50,878 Speaker 1: All right couple weeks into January 2020 CES episode to 2 00:00:50,878 --> 00:00:55,188 Speaker 1: eleven starting off security news California's new privacy law. This 3 00:00:55,238 --> 00:00:58,948 Speaker 1: CPA went live on January 1st but similar to GDP 4 00:00:58,968 --> 00:01:03,288 Speaker 1: our people aren't exactly sure what that means. The core 5 00:01:03,308 --> 00:01:05,098 Speaker 1: the new law states that if your company has data 6 00:01:05,128 --> 00:01:08,488 Speaker 1: for over fifty thousand California residents you need to explain 7 00:01:08,488 --> 00:01:12,238 Speaker 1: to them exactly what you're doing with it and customers 8 00:01:12,238 --> 00:01:14,188 Speaker 1: can also ask that you don't sell it or that 9 00:01:14,188 --> 00:01:16,458 Speaker 1: you delete it and there's some other stuff there as well. 10 00:01:16,468 --> 00:01:20,028 Speaker 1: But that seems to be the core of it. There's 11 00:01:20,038 --> 00:01:22,708 Speaker 1: a new shopworn exploit that makes it even easier to 12 00:01:22,708 --> 00:01:24,868 Speaker 1: attack hashes but which I won in a lot of 13 00:01:24,868 --> 00:01:27,268 Speaker 1: people are talking about the possibility of using Blake too 14 00:01:27,688 --> 00:01:31,328 Speaker 1: as a replacement for a shot to especially within systems 15 00:01:31,328 --> 00:01:33,667 Speaker 1: like get because it's 10 times faster than try to. 16 00:01:35,868 --> 00:01:37,487 Speaker 1: But yeah a lot of people are really worried about 17 00:01:37,488 --> 00:01:40,278 Speaker 1: the integrity of systems like get because foundationally it's a 18 00:01:40,277 --> 00:01:46,188 Speaker 1: bunch of SHA 1 hashes there appears to be a 19 00:01:46,188 --> 00:01:48,918 Speaker 1: new trend with ransomware groups where they're not just encrypting 20 00:01:48,918 --> 00:01:51,498 Speaker 1: the data and charging the victim to decrypt but they're 21 00:01:51,498 --> 00:01:54,528 Speaker 1: actually taking a copy of the data first and then 22 00:01:54,588 --> 00:01:56,748 Speaker 1: storing it. So they have more options to monetize it 23 00:01:56,748 --> 00:02:02,028 Speaker 1: later which is smart and can scary. Ring fired for 24 00:02:02,028 --> 00:02:06,808 Speaker 1: employees for looking at customers videos. And you might want 25 00:02:06,808 --> 00:02:09,828 Speaker 1: to avoid writing 20 as an abbreviation for 20 20 26 00:02:09,838 --> 00:02:12,778 Speaker 1: on official documents like checks if you still use cheques. 27 00:02:13,768 --> 00:02:16,348 Speaker 1: Because someone can come behind you and add things to 28 00:02:16,348 --> 00:02:18,148 Speaker 1: that 20 that you just wrote right. So they're going 29 00:02:18,148 --> 00:02:22,558 Speaker 1: to at 2010 or 2018 or 2022 seems pretty low 30 00:02:22,558 --> 00:02:25,768 Speaker 1: probability of an attack but worth knowing about and why 31 00:02:25,768 --> 00:02:30,708 Speaker 1: not just write to 120. Meters released attack content for 32 00:02:30,768 --> 00:02:37,308 Speaker 1: industrial control systems attackers are now targeting telecom companies directly 33 00:02:37,308 --> 00:02:40,008 Speaker 1: so they can get access to customer mobile numbers which 34 00:02:40,007 --> 00:02:43,398 Speaker 1: allows them to bypass S.A. authentication really what they're talking 35 00:02:43,398 --> 00:02:45,258 Speaker 1: about is getting access to the ability to do a 36 00:02:45,438 --> 00:02:49,128 Speaker 1: sim swap. I think this is this article is really 37 00:02:49,127 --> 00:02:53,448 Speaker 1: saying we have evidence now there's more evidence that attackers 38 00:02:53,447 --> 00:02:55,878 Speaker 1: are actually targeting these companies but I imagine this has 39 00:02:55,877 --> 00:02:59,288 Speaker 1: been going on for some time yeah. This Sim swap 40 00:02:59,288 --> 00:03:04,208 Speaker 1: issue is super serious. I mean basically someone's mobile number 41 00:03:04,268 --> 00:03:08,197 Speaker 1: today is really a proxy for their identity and if 42 00:03:08,197 --> 00:03:11,858 Speaker 1: you can break into these companies and. Switch that mobile 43 00:03:11,858 --> 00:03:16,718 Speaker 1: number to another device that's really serious really really looking 44 00:03:16,718 --> 00:03:19,508 Speaker 1: forward to telecom companies having a better solution to this. 45 00:03:19,507 --> 00:03:22,328 Speaker 1: Right now it's basically can you trick the not very 46 00:03:22,327 --> 00:03:25,628 Speaker 1: well paid customer service person who is dealing with bad 47 00:03:25,627 --> 00:03:29,228 Speaker 1: documentation and you know poor process and that's what stands 48 00:03:29,228 --> 00:03:34,618 Speaker 1: between you and having your number stolen. The UK is 49 00:03:34,618 --> 00:03:37,168 Speaker 1: new offensive cyber security force run by the Ministry of 50 00:03:37,168 --> 00:03:40,048 Speaker 1: Defence in the GC HQ is nearly ready to go 51 00:03:40,048 --> 00:03:47,008 Speaker 1: live just in time for Iran shenanigans the US may 52 00:03:47,008 --> 00:03:50,638 Speaker 1: cancel a civilian drone program based on DJI drones which 53 00:03:50,638 --> 00:03:53,758 Speaker 1: is a Chinese company due to surveillance concerns. They're worried 54 00:03:53,758 --> 00:03:57,538 Speaker 1: that it's basically like a giant land mapping project and 55 00:03:57,538 --> 00:03:59,488 Speaker 1: they're worried that it's going to be used for surveillance 56 00:04:00,478 --> 00:04:03,958 Speaker 1: and other similar projects actually involving DJI and the military 57 00:04:03,958 --> 00:04:08,698 Speaker 1: have already been canceled as well for similar reasons. So 58 00:04:08,698 --> 00:04:11,668 Speaker 1: related to the earlier story someone actually did an analysis 59 00:04:11,668 --> 00:04:14,038 Speaker 1: of how easy it is to swap a SIM card 60 00:04:14,038 --> 00:04:17,778 Speaker 1: to gain access to someone's mobile number on five different carriers. 61 00:04:17,888 --> 00:04:19,918 Speaker 1: And really what they tried to do was you know 62 00:04:20,038 --> 00:04:22,738 Speaker 1: see what the rules were and map out what that 63 00:04:22,738 --> 00:04:26,038 Speaker 1: process looks like for the major carriers and their takeaway 64 00:04:26,098 --> 00:04:29,098 Speaker 1: is that it actually is really easy and s a 65 00:04:29,098 --> 00:04:31,168 Speaker 1: mess is not a good option which I think we 66 00:04:31,168 --> 00:04:34,428 Speaker 1: already knew. But I like having data that backs it up. 67 00:04:34,438 --> 00:04:37,228 Speaker 1: I don't think it's quite strong compared to not having 68 00:04:37,228 --> 00:04:41,718 Speaker 1: it which a lot of people disagree on. But. Most 69 00:04:41,868 --> 00:04:44,388 Speaker 1: security people that I know do still think it's better 70 00:04:44,628 --> 00:04:49,258 Speaker 1: but it's nowhere near as good as having outpaced in 71 00:04:49,398 --> 00:04:53,327 Speaker 1: someone found a database of 56 million Americans personal data 72 00:04:53,338 --> 00:04:56,118 Speaker 1: sitting on a Chinese IP address. The data was evidently 73 00:04:56,118 --> 00:04:59,538 Speaker 1: collected by people finder website called check people dot com. 74 00:05:00,938 --> 00:05:04,478 Speaker 1: So that is unpleasant and a Texas school district got 75 00:05:04,478 --> 00:05:08,548 Speaker 1: fish out of two point three million dollars fishing is 76 00:05:08,548 --> 00:05:11,708 Speaker 1: absolutely stoking because even if all the technical controls work 77 00:05:11,708 --> 00:05:16,988 Speaker 1: fishing will still work because. Until people are completely replaced 78 00:05:16,988 --> 00:05:19,238 Speaker 1: by automation I mean they're still going to be making 79 00:05:19,238 --> 00:05:21,578 Speaker 1: decisions and they're still going to have to have authority 80 00:05:21,578 --> 00:05:23,618 Speaker 1: to do things and that's what we'll be attacked by 81 00:05:23,618 --> 00:05:30,228 Speaker 1: the fishing. Advisories. There's a critical Citrix net scalar RC 82 00:05:30,228 --> 00:05:34,238 Speaker 1: with an active exploit actually out there a trusted second 83 00:05:34,248 --> 00:05:36,288 Speaker 1: a couple of other groups have put the exploit out 84 00:05:36,318 --> 00:05:39,288 Speaker 1: already trusted SEC only released it because other people already 85 00:05:39,288 --> 00:05:41,838 Speaker 1: put it out. But this is CBS s nine point 86 00:05:41,838 --> 00:05:45,948 Speaker 1: eight and if you have any net scalar slash Citrix 87 00:05:46,038 --> 00:05:48,948 Speaker 1: you need to get this patched immediately. If it's not 88 00:05:48,948 --> 00:05:56,318 Speaker 1: compromised already critical Android bug. Yeah really nasty. Firefox zero 89 00:05:56,318 --> 00:05:59,998 Speaker 1: day under active attack. Millions of cable modems vulnerable to 90 00:05:59,998 --> 00:06:03,568 Speaker 1: something called Cable hunt which is basically RC of your 91 00:06:03,568 --> 00:06:06,208 Speaker 1: cable modem which includes the ability to change your DNS 92 00:06:06,238 --> 00:06:12,818 Speaker 1: which is nasty and some updates for Chrome companies synopsis 93 00:06:12,828 --> 00:06:21,448 Speaker 1: buys tin foil Technology News got the best of C 94 00:06:21,488 --> 00:06:24,658 Speaker 1: yes winners from Engadget and the coolest thing I saw 95 00:06:24,658 --> 00:06:27,748 Speaker 1: here was the wee things scan watch which is a 96 00:06:27,748 --> 00:06:31,048 Speaker 1: round watched an EKG on it last for 30 days 97 00:06:31,318 --> 00:06:35,028 Speaker 1: looks quite good. I might actually buy one Warner Brothers 98 00:06:35,058 --> 00:06:37,428 Speaker 1: is about to start using A.I. to help them decide 99 00:06:37,428 --> 00:06:40,408 Speaker 1: if they should make a movie or not. I've always 100 00:06:40,408 --> 00:06:42,298 Speaker 1: wondered when they were actually going to do this. Like 101 00:06:42,568 --> 00:06:46,408 Speaker 1: just point him unsupervised learning or whatever kind of algorithms 102 00:06:46,528 --> 00:06:49,767 Speaker 1: you have that work for this. Point it at that 103 00:06:50,278 --> 00:06:54,628 Speaker 1: repository of data about I am D.B. or actually feed 104 00:06:54,628 --> 00:06:58,678 Speaker 1: data from the movie into the algorithms themselves so they 105 00:06:58,678 --> 00:07:03,538 Speaker 1: can extract the features. And combine that with environment information 106 00:07:04,458 --> 00:07:06,957 Speaker 1: like you know. How's the economy doing. What am I 107 00:07:06,958 --> 00:07:08,938 Speaker 1: up against. What is the weekend what part of the 108 00:07:08,938 --> 00:07:10,918 Speaker 1: year is it. What is the weather like all these 109 00:07:10,918 --> 00:07:14,018 Speaker 1: are for things maybe not the weather because you don't 110 00:07:14,018 --> 00:07:16,988 Speaker 1: know that before you make the movie. But as many 111 00:07:16,988 --> 00:07:20,978 Speaker 1: factors as you can figure out right build that into 112 00:07:20,978 --> 00:07:23,828 Speaker 1: the model and say Is this going to work anyway. 113 00:07:23,828 --> 00:07:25,748 Speaker 1: I think it's pretty cool idea. I've always wanted to 114 00:07:25,748 --> 00:07:29,798 Speaker 1: see what an algorithm would come up for rating various 115 00:07:29,798 --> 00:07:33,858 Speaker 1: movies within I am to be. So we can get 116 00:07:33,858 --> 00:07:37,728 Speaker 1: ready for us before and Thunderbolt for in 2020 but 117 00:07:37,728 --> 00:07:39,648 Speaker 1: we don't have to worry about the connector actually because 118 00:07:39,648 --> 00:07:42,538 Speaker 1: it's still you SBC really can't wait till everything is 119 00:07:42,538 --> 00:07:45,078 Speaker 1: you SBC so I could take like forty nine cables 120 00:07:45,078 --> 00:07:48,698 Speaker 1: out of my bag. Space X is looking to launch 121 00:07:48,698 --> 00:07:52,118 Speaker 1: blacked out satellites to avoid Earth visible light pollution in 122 00:07:52,118 --> 00:07:54,368 Speaker 1: space where you're basically looking up trying to look at 123 00:07:54,368 --> 00:07:56,468 Speaker 1: the stars and just see a whole bunch of moving 124 00:07:56,528 --> 00:08:00,368 Speaker 1: specs because there are so many satellites up there and 125 00:08:00,368 --> 00:08:05,588 Speaker 1: actually Space X they believe. Has the most satellites that 126 00:08:05,898 --> 00:08:07,268 Speaker 1: they think there was a story from last week. 127 00:08:10,508 --> 00:08:13,838 Speaker 2: Tesla's might soon gain the ability to talk to pedestrians 128 00:08:13,868 --> 00:08:16,628 Speaker 2: via extra mile speakers. The one thing I love about 129 00:08:16,628 --> 00:08:18,848 Speaker 2: Tesla is there more of a software product than any 130 00:08:18,848 --> 00:08:21,518 Speaker 2: other car. You never know what features might be in 131 00:08:21,518 --> 00:08:24,848 Speaker 2: the next update. I've actually wanted to mount one of 132 00:08:24,848 --> 00:08:28,658 Speaker 2: those bullhorn things like automated one and somehow be able 133 00:08:28,658 --> 00:08:30,908 Speaker 2: to control it from inside the car so I could 134 00:08:30,908 --> 00:08:34,028 Speaker 2: just like say it like a cop voice. Just be 135 00:08:34,028 --> 00:08:37,418 Speaker 2: like next time use your blinker or that was a 136 00:08:37,418 --> 00:08:39,938 Speaker 2: very nice. Just talk to people like not in a 137 00:08:39,938 --> 00:08:41,978 Speaker 2: super aggressive way but just call them out so they 138 00:08:41,977 --> 00:08:44,708 Speaker 2: feel that. Thought that would be cool. You know how 139 00:08:44,708 --> 00:08:47,798 Speaker 2: to mount something like that to a car. But maybe 140 00:08:47,888 --> 00:08:49,987 Speaker 2: this will give that functionality although it seems like it 141 00:08:49,987 --> 00:08:53,617 Speaker 2: could fuel road rage. Like if people were being super 142 00:08:53,617 --> 00:08:57,068 Speaker 2: rude with it but I doubt that will happen because 143 00:08:57,128 --> 00:09:00,318 Speaker 2: no one who owns a Tesla would be rude and 144 00:09:00,318 --> 00:09:02,838 Speaker 2: there's a new D face swap app called W cat 145 00:09:03,198 --> 00:09:06,377 Speaker 2: that people are excited about. You basically go a selfie 146 00:09:06,578 --> 00:09:10,727 Speaker 2: or put it on gifs that you provide. Human news 147 00:09:10,818 --> 00:09:14,238 Speaker 2: another study has found a strong correlation between cardio respiratory 148 00:09:14,237 --> 00:09:18,378 Speaker 2: fitness and grey matter volume. Alcohol related deaths have doubled 149 00:09:18,378 --> 00:09:22,757 Speaker 2: between 1999 and 2017 and suicide is up 33 percent 150 00:09:23,358 --> 00:09:27,228 Speaker 2: in a similar timeframe think we have a meaning crisis. 151 00:09:27,268 --> 00:09:31,288 Speaker 2: That's what I think the world's largest radio telescope is 152 00:09:31,288 --> 00:09:36,208 Speaker 2: just come online in China. It is 500 kilometers no 153 00:09:36,418 --> 00:09:41,098 Speaker 2: 500 meters across which is huge and Star Trek The 154 00:09:41,098 --> 00:09:44,018 Speaker 2: card has already been renewed for another season. I think 155 00:09:44,108 --> 00:09:46,388 Speaker 2: a lot of BitTorrent clients are going to be really 156 00:09:46,388 --> 00:09:51,468 Speaker 2: happy about this. Ideas trends and analysis. Here's an idea. 157 00:09:51,528 --> 00:09:55,158 Speaker 2: Maybe slow speed information is critical to healthy discourse. Kind 158 00:09:55,158 --> 00:09:58,968 Speaker 2: of like low glycemic index foods. And maybe the faster 159 00:09:58,998 --> 00:10:01,968 Speaker 2: and more condensed you can get something like. You just 160 00:10:01,968 --> 00:10:04,458 Speaker 2: lose something. This is something that I read about in 161 00:10:04,458 --> 00:10:08,747 Speaker 2: Neil Postman's. Amusing Ourselves to Death. Really great book. I 162 00:10:08,748 --> 00:10:11,748 Speaker 2: think it was written in the 50s actually it was 163 00:10:11,748 --> 00:10:17,358 Speaker 2: complaining about TV. As an iteration away from in-person and 164 00:10:17,358 --> 00:10:19,938 Speaker 2: then radio then it was saying TV was breaking everything. 165 00:10:19,938 --> 00:10:23,118 Speaker 2: Imagine if you had seen this but I thought that 166 00:10:23,118 --> 00:10:26,718 Speaker 2: was interesting. Like maybe you just need slow difficult information 167 00:10:26,928 --> 00:10:30,438 Speaker 2: to have a healthy society. And related to the previous 168 00:10:30,438 --> 00:10:34,518 Speaker 2: story alcohol deaths doubling 20 years. Suicide up 33 percent 169 00:10:34,518 --> 00:10:36,768 Speaker 2: in the same timeframe. This way of a serious problem 170 00:10:36,768 --> 00:10:39,828 Speaker 2: with Pinker's optimism in his last two books. It's not 171 00:10:39,828 --> 00:10:42,278 Speaker 2: that any of his data are actually wrong that I 172 00:10:42,458 --> 00:10:45,078 Speaker 2: that I know of anyway. The book is extremely well 173 00:10:45,078 --> 00:10:50,188 Speaker 2: researched right. The problem is that people don't judge their 174 00:10:50,188 --> 00:10:54,388 Speaker 2: happiness using the relative experiences of previous decades or centuries 175 00:10:54,728 --> 00:10:57,478 Speaker 2: like we do. Our brains don't care about how happy 176 00:10:58,228 --> 00:11:01,768 Speaker 2: our ancestors were. We focus on the present. We how 177 00:11:01,768 --> 00:11:06,448 Speaker 2: we compare with our peers. And other images that we 178 00:11:06,448 --> 00:11:09,267 Speaker 2: think we should be aspiring to write or we should 179 00:11:09,268 --> 00:11:11,878 Speaker 2: be at the level of so I don't think his 180 00:11:11,878 --> 00:11:14,368 Speaker 2: books were wrong they just totally missed the point. In 181 00:11:14,518 --> 00:11:18,958 Speaker 2: these suicide statistics and these deaths by alcohol. In my 182 00:11:18,958 --> 00:11:22,977 Speaker 2: mind they're likely to be related to that they could 183 00:11:22,978 --> 00:11:25,648 Speaker 2: not be. I mean this is it is conjecture but 184 00:11:25,708 --> 00:11:31,228 Speaker 2: it seems logical to me. College kids are starting to 185 00:11:31,228 --> 00:11:33,898 Speaker 2: see big tech a lot like Wall Street where Big 186 00:11:33,898 --> 00:11:37,948 Speaker 2: Oil basically lucrative but with a moral tradeoff due to 187 00:11:37,948 --> 00:11:43,048 Speaker 2: their unscrupulous business practices. Evidently becoming a big theme on 188 00:11:43,048 --> 00:11:48,458 Speaker 2: college campuses. And Equifax is stock rose 50 percent in 189 00:11:48,518 --> 00:11:51,608 Speaker 2: 2019 and Facebook stock is at an all time high 190 00:11:51,608 --> 00:11:55,058 Speaker 2: right now. Looks like the relationship between bad behavior and 191 00:11:55,058 --> 00:11:58,188 Speaker 2: bad outcomes isn't always as solid as we might like. 192 00:11:59,558 --> 00:12:02,208 Speaker 2: And around one in five Americans uses a smartwatch or 193 00:12:02,208 --> 00:12:08,808 Speaker 2: a fitness tracker 10 percent. Updates wrote an essay called 194 00:12:08,808 --> 00:12:12,658 Speaker 2: visibility and understanding create both tools and weapons. Think you 195 00:12:12,658 --> 00:12:15,708 Speaker 2: will like it. Check it out. Row one called why 196 00:12:15,708 --> 00:12:18,708 Speaker 2: high end podcasts reduce the base in their audio which 197 00:12:18,708 --> 00:12:21,468 Speaker 2: you should be hearing in this right now actually should 198 00:12:21,468 --> 00:12:26,218 Speaker 2: be like a cleaner brighter sound as opposed to like 199 00:12:26,218 --> 00:12:29,068 Speaker 2: a deep rumbling sound which I used to be into. 200 00:12:29,068 --> 00:12:31,078 Speaker 2: Yeah I was super into that he sound but it 201 00:12:31,078 --> 00:12:35,638 Speaker 2: turns out it mixes really poorly with surrounding noise especially 202 00:12:35,638 --> 00:12:39,117 Speaker 2: road noise. So NPR basically said look we need to 203 00:12:39,118 --> 00:12:41,367 Speaker 2: cut this out. So they used their mike which say 204 00:12:41,368 --> 00:12:45,238 Speaker 2: Mike that I have to pull sound out of the 205 00:12:45,238 --> 00:12:49,168 Speaker 2: bottom range and the high pitch is supposed to basically 206 00:12:49,168 --> 00:12:54,747 Speaker 2: cut through road noise subway noise surrounding conversation and stuff 207 00:12:54,748 --> 00:12:56,788 Speaker 2: like that and cut right through and get your ears 208 00:12:58,338 --> 00:12:59,058 Speaker 2: so I'm trying it out. 209 00:12:59,098 --> 00:12:59,727 Speaker 3: Let me know what you think. 210 00:13:02,988 --> 00:13:06,258 Speaker 2: And third one here San Francisco is a microcosm of 211 00:13:06,258 --> 00:13:10,368 Speaker 2: America's future sounds political. It's not really political. It's more 212 00:13:10,368 --> 00:13:16,538 Speaker 2: like society analysis type stuff. And I reckon solid hated 213 00:13:16,538 --> 00:13:19,748 Speaker 2: my reading infrastructure on audible Kindle and good reads and 214 00:13:19,748 --> 00:13:22,627 Speaker 2: then catching up on my previously read stuff. More work 215 00:13:22,628 --> 00:13:24,848 Speaker 2: to do on that. Making good progress if you're on 216 00:13:24,848 --> 00:13:28,658 Speaker 2: good reads connect with me is just annual music and 217 00:13:28,658 --> 00:13:31,387 Speaker 2: currently reading a fiction series called Cradle which is part 218 00:13:31,388 --> 00:13:35,678 Speaker 2: of a genre called lit RPG which is literary RPG. 219 00:13:35,708 --> 00:13:38,477 Speaker 2: It's basically like you're watching a videogame or an RPG. 220 00:13:38,618 --> 00:13:41,678 Speaker 2: But as a story instead of a game there's tons 221 00:13:41,678 --> 00:13:44,648 Speaker 2: of focus on leveling skills abilities and items like if 222 00:13:44,648 --> 00:13:46,688 Speaker 2: you like Diablo and you like collecting things and getting 223 00:13:46,688 --> 00:13:50,768 Speaker 2: more powerful. This is it's a whole genre of books 224 00:13:51,458 --> 00:13:54,698 Speaker 2: designed around just that so you should definitely check it out. 225 00:13:54,698 --> 00:13:57,188 Speaker 2: I'm loving the series. It's called Cradle. I think it's 226 00:13:57,188 --> 00:14:00,497 Speaker 2: probably a pretty good introduction to it. And I post 227 00:14:00,498 --> 00:14:03,098 Speaker 2: a couple of new book summaries one on atomic habits 228 00:14:03,098 --> 00:14:05,857 Speaker 2: which is like one of my. It's just a fantastic book. 229 00:14:05,888 --> 00:14:08,227 Speaker 2: It's also a great book to read in January. So 230 00:14:08,288 --> 00:14:11,198 Speaker 2: really suggest you get that or at least read the 231 00:14:11,198 --> 00:14:14,198 Speaker 2: summary that I wrote and another one called the infinite 232 00:14:14,198 --> 00:14:17,388 Speaker 2: game which is super cool. And let me know what 233 00:14:17,388 --> 00:14:20,148 Speaker 2: you think about bullets for the advisories and other sections 234 00:14:20,148 --> 00:14:23,088 Speaker 2: in security above. So for the first time I took 235 00:14:23,088 --> 00:14:25,398 Speaker 2: it out of a paragraph with just commerce operation and 236 00:14:25,398 --> 00:14:28,038 Speaker 2: actually added some bullets because you're listening to this you're 237 00:14:28,038 --> 00:14:31,038 Speaker 2: not seeing the newsletter. But yeah just let me know 238 00:14:31,038 --> 00:14:33,918 Speaker 2: what you think of that. If you see it. In 239 00:14:33,928 --> 00:14:36,898 Speaker 2: discovery I look at Google's health care efforts like Project 240 00:14:36,898 --> 00:14:40,378 Speaker 2: Nightingale and Guardian how Israel trains its elite drone Warriors 241 00:14:41,518 --> 00:14:46,568 Speaker 2: a visual suddenly calculator how to read long complex books. 242 00:14:47,158 --> 00:14:50,298 Speaker 2: Got my new favorite hacking video. There's a thing called 243 00:14:50,298 --> 00:14:53,538 Speaker 2: Silent book club where people get together in public places 244 00:14:53,598 --> 00:14:55,938 Speaker 2: and silently read together which I to be doing one 245 00:14:55,938 --> 00:15:00,408 Speaker 2: in S.F. the end of this month. Why quit using Google. 246 00:15:00,408 --> 00:15:04,008 Speaker 2: That's not me. It's someone else's article. This clips bar 247 00:15:04,028 --> 00:15:07,008 Speaker 2: 50 for sound bar looks super awesome. Don't know where 248 00:15:07,008 --> 00:15:08,568 Speaker 2: I'm going to put it. I have like eleven square 249 00:15:08,568 --> 00:15:13,758 Speaker 2: feet in my house and an interactive vim tutorial recommendation 250 00:15:13,758 --> 00:15:15,918 Speaker 2: for the week. It's the beginning of January and a 251 00:15:15,918 --> 00:15:17,838 Speaker 2: new year so make sure you have your most sensitive 252 00:15:17,838 --> 00:15:21,258 Speaker 2: data backed up somewhere securely off site that you either 253 00:15:21,318 --> 00:15:24,138 Speaker 2: rotated your key passwords or using a password manager with 254 00:15:24,378 --> 00:15:27,708 Speaker 2: a strong scheme. And that your most vulnerable loved ones 255 00:15:27,798 --> 00:15:32,278 Speaker 2: are doing these same things. And the aphorism for the 256 00:15:32,278 --> 00:15:37,508 Speaker 2: week all happiness depends on courage and work all happiness 257 00:15:37,688 --> 00:15:40,958 Speaker 2: depends on courage and work. A Nora day Balzac.