1 00:00:35,126 --> 00:00:37,676 S1: All right, welcome to Episode two. Seventy nine, if you're 2 00:00:37,676 --> 00:00:40,556 S1: having a good start to the week. Starting off with 3 00:00:40,556 --> 00:00:46,416 S1: security news. FBI and CIA have released new tactics being 4 00:00:46,415 --> 00:00:50,705 S1: used by Russia's SVR, SVR is also known as EPEAT 5 00:00:50,706 --> 00:00:54,306 S1: 29 and Cozy Bare, and they're believed to be responsible 6 00:00:54,306 --> 00:00:58,865 S1: for solar winds and many other attacks. They're believed to 7 00:00:58,866 --> 00:01:03,786 S1: be primarily targeting government networks, think tank and policy analysis 8 00:01:03,786 --> 00:01:09,366 S1: organizations and information technology companies, and their tips have evidently 9 00:01:09,366 --> 00:01:13,236 S1: moved from installing malware networks. This was back before like 10 00:01:13,235 --> 00:01:19,116 S1: 2018 to attacking cloud email services such as Microsoft's Office 365, 11 00:01:19,776 --> 00:01:23,226 S1: password spraying and targeting VPN services and a whole bunch 12 00:01:23,226 --> 00:01:28,086 S1: of other tidbits as well. But the they collaborated again, 13 00:01:28,086 --> 00:01:30,755 S1: like we're seeing a lot from the government right now 14 00:01:31,446 --> 00:01:35,856 S1: and releasing these joint reports, talking about how people can 15 00:01:36,396 --> 00:01:42,425 S1: look for signs of compromise, signs of attack, and just 16 00:01:42,426 --> 00:01:48,446 S1: generally collaborating and communication, which I think is fantastic. Says 17 00:01:48,446 --> 00:01:53,785 S1: also released an advisory around Arktos Systems, Real-Time Operating Systems for. 18 00:01:55,256 --> 00:01:58,076 S1: Industry experts have submitted an 81 page report to the 19 00:01:58,076 --> 00:02:02,786 S1: Bush administration aimed at coordinating efforts to counter ransomware. They 20 00:02:02,876 --> 00:02:05,126 S1: are looking to unify into a task force that helps 21 00:02:05,126 --> 00:02:09,775 S1: disrupt the problem, using a combination of techniques, including disrupting payments, 22 00:02:10,136 --> 00:02:14,875 S1: prosecuting attackers and disrupting services that support the ecosystem, including 23 00:02:14,876 --> 00:02:21,666 S1: forums where services are sold. Python Library IP address is 24 00:02:21,666 --> 00:02:25,986 S1: vulnerable to a critical IP address, validation vulnerability first found 25 00:02:25,986 --> 00:02:30,665 S1: in the Net Mask library earlier this year. This particular 26 00:02:30,666 --> 00:02:34,595 S1: issue basically causes leading zeros to be stripped off of addresses, 27 00:02:34,896 --> 00:02:39,486 S1: which is allowing attackers to bypass filters. So basically, you 28 00:02:39,486 --> 00:02:42,786 S1: can't really tell what's going to get allowed through based 29 00:02:42,786 --> 00:02:45,366 S1: on what's being sent because it's doing some wonky stuff 30 00:02:45,576 --> 00:02:49,205 S1: with the input. So we definitely want to patch that, 31 00:02:49,216 --> 00:02:51,766 S1: I think this is introduced in Python three to three. 32 00:02:53,005 --> 00:02:56,786 S1: If I'm remembering correctly, but either way, you want to 33 00:02:56,786 --> 00:03:00,145 S1: make sure you're running the latest version of chicken or 34 00:03:00,146 --> 00:03:04,015 S1: at least that you have this patch installed. Krebs says 35 00:03:04,016 --> 00:03:08,426 S1: Experian has a leaky API that exposed most Americans credit 36 00:03:08,425 --> 00:03:12,025 S1: scores for some period of time. Independent researcher that found 37 00:03:12,026 --> 00:03:14,576 S1: this as usual and brought it to Krebs and Krebs 38 00:03:14,606 --> 00:03:18,676 S1: says the story on it. Census found more than one 39 00:03:18,675 --> 00:03:23,026 S1: point ninety three million databases exposed to the Internet on 40 00:03:23,026 --> 00:03:25,305 S1: cloud servers, so it was looking for a whole bunch 41 00:03:25,305 --> 00:03:29,986 S1: of databases and it found mostly Misako, followed by PostgreSQL 42 00:03:29,995 --> 00:03:35,276 S1: and Breadths. Kaspersky says it found new malware, which it 43 00:03:35,276 --> 00:03:38,535 S1: believes based on a bunch of patterns within the code, 44 00:03:39,146 --> 00:03:44,376 S1: it believes it was created by the CIA. The NYPD 45 00:03:44,376 --> 00:03:47,696 S1: has canceled the use of its robotic dog due to 46 00:03:47,706 --> 00:03:52,076 S1: public backlash. And they're complaining because they're saying this thing 47 00:03:52,076 --> 00:03:55,376 S1: would have saved a lot of people or helped a 48 00:03:55,376 --> 00:03:59,545 S1: lot of people and avoided putting people in bad positions, 49 00:03:59,546 --> 00:04:03,696 S1: especially police in bad positions. But I don't know if 50 00:04:03,696 --> 00:04:06,596 S1: you make something that looks like a black mirror episode, 51 00:04:07,056 --> 00:04:11,736 S1: I think you can expect bad things to happen. U.S. 52 00:04:11,736 --> 00:04:15,936 S1: Navy SEALs are shifting from counterterrorism to global skills, which 53 00:04:15,936 --> 00:04:19,595 S1: are more technology oriented, such as electronic warfare in the 54 00:04:19,596 --> 00:04:23,075 S1: use of unmanned systems, also known as drones, for the 55 00:04:23,076 --> 00:04:27,396 S1: purposes of collecting intelligence. And they're evidently heading more towards 56 00:04:27,396 --> 00:04:30,546 S1: the boats, which they used to operate from in the past. 57 00:04:31,536 --> 00:04:35,616 S1: As opposed to doing counterterrorism in the desert and other places. 58 00:04:38,366 --> 00:04:42,056 S1: Microsoft released updates to at least 110 security issues in 59 00:04:42,056 --> 00:04:45,986 S1: its monthly patch Tuesday release, including for updates to exchange. 60 00:04:46,976 --> 00:04:51,476 S1: They've also identified two dozen so vulnerabilities and Iot and devices, 61 00:04:52,196 --> 00:04:55,966 S1: and they're collectively being called Bad Elich because they're due 62 00:04:55,976 --> 00:05:01,476 S1: to memory allocation problems. Cisco firewalls have several remote, accessible 63 00:05:01,746 --> 00:05:05,646 S1: vulnerabilities that have patches available, there are patches out for Sumba, 64 00:05:06,186 --> 00:05:11,716 S1: and TuneUp is warning of each Lucker ransomware. If you 65 00:05:11,716 --> 00:05:14,205 S1: have tuned up, find a way to not have a 66 00:05:14,206 --> 00:05:19,336 S1: tune up, that's my current advice. Park Mobile had a 67 00:05:19,336 --> 00:05:23,236 S1: breach that exposed license plate and mobile number information for 68 00:05:23,236 --> 00:05:28,396 S1: 21 million users and Vectorized raised 130 million dollars to 69 00:05:28,396 --> 00:05:35,445 S1: do a power saw. Technology news, Google is experimenting with 70 00:05:35,446 --> 00:05:39,736 S1: new office designs as employees return from covid, they're mostly 71 00:05:39,736 --> 00:05:44,236 S1: thinking about September ish or 1st returns back into the offices. 72 00:05:44,676 --> 00:05:48,376 S1: They're going to be strongly encouraging, but not requiring that 73 00:05:48,376 --> 00:05:52,276 S1: returning people are vaccinated. In the meantime, they've saved around 74 00:05:52,576 --> 00:05:56,236 S1: one billion dollars by not having employees on site. But 75 00:05:56,236 --> 00:05:59,926 S1: I think that's a separate calculation than determining whether or 76 00:05:59,926 --> 00:06:04,546 S1: not they've actually increased or decreased productivity with the remote workforce. 77 00:06:05,136 --> 00:06:09,456 S1: That'll be separate information to factor in their. Amazon is 78 00:06:09,456 --> 00:06:13,626 S1: spending one billion dollars to raise operation workers pay by 79 00:06:13,626 --> 00:06:18,456 S1: up to three dollars an hour. Tesla's upgrading its Powerwall 80 00:06:18,566 --> 00:06:23,006 S1: two systems to Powerwall plus, which have the same capacity 81 00:06:23,006 --> 00:06:27,486 S1: but higher surge output. They're trying to basically make like 82 00:06:27,486 --> 00:06:32,195 S1: a decentralized power grid using their own products, which it's 83 00:06:32,196 --> 00:06:35,936 S1: very much like really like it. I love the idea. 84 00:06:37,836 --> 00:06:42,296 S1: The Linux kernel now has over one million commits. When 85 00:06:42,296 --> 00:06:46,636 S1: or how many are malicious? Really think someone to do 86 00:06:46,636 --> 00:06:49,366 S1: a full audit of this thing just seems nasty, especially 87 00:06:49,366 --> 00:06:54,346 S1: given that recent University of Minnesota, I think, where they 88 00:06:54,346 --> 00:06:56,866 S1: did a project, it got approved by the ethics board 89 00:06:57,106 --> 00:07:00,766 S1: to actually submit malicious code to see if it got caught, 90 00:07:00,946 --> 00:07:04,026 S1: which it didn't. And that's why that whole university is 91 00:07:04,026 --> 00:07:08,936 S1: now banned from submitting code. But it seems like people 92 00:07:08,936 --> 00:07:12,196 S1: are just mad because they exposed an ugly truth, like 93 00:07:12,656 --> 00:07:15,146 S1: we need more people doing this kind of thing, you know, 94 00:07:15,146 --> 00:07:20,786 S1: red teaming, something that's used by billions of devices and systems. 95 00:07:22,586 --> 00:07:27,756 S1: Is it trillions? I don't know, but definitely billions. Companies, 96 00:07:27,756 --> 00:07:30,966 S1: Amazon's net sales increased 44 percent in the first quarter 97 00:07:30,966 --> 00:07:35,796 S1: of 2021, Microsoft's revenue increased 19 percent in the first quarter, 98 00:07:35,796 --> 00:07:38,646 S1: and Google's revenue grew 34 percent in the first quarter. 99 00:07:41,346 --> 00:07:47,136 S1: Humanos Fizer is currently testing a covid cure with 60 individuals, 100 00:07:47,136 --> 00:07:49,806 S1: and if successful, this would be used in patients who 101 00:07:49,806 --> 00:07:52,536 S1: already have covered as opposed to the vaccine, which is 102 00:07:52,536 --> 00:07:57,946 S1: used to prevent getting it. They said basically in the story, which, 103 00:07:57,946 --> 00:08:00,676 S1: you know, it's journalism, but they said it attacks the 104 00:08:00,676 --> 00:08:06,266 S1: spine of the virus and basically tears it apart. Really exciting. 105 00:08:06,656 --> 00:08:08,486 S1: Probably exciting for the company as well, if they were 106 00:08:08,486 --> 00:08:11,456 S1: to be able to have this and the vaccine sometime. 107 00:08:13,636 --> 00:08:15,976 S1: The measures taken to control the spread of covid have 108 00:08:15,976 --> 00:08:20,746 S1: nearly eliminated influenza worldwide, U.S. deaths from the flu in 109 00:08:20,746 --> 00:08:25,926 S1: twenty to twenty one season was around 600, and in 110 00:08:25,936 --> 00:08:28,546 S1: the two years before it was twenty two thousand and 111 00:08:28,546 --> 00:08:36,655 S1: 34000 respectively. California is looking to stop messily from taking 112 00:08:36,655 --> 00:08:41,456 S1: millions of gallons of its water. Global electric vehicle sales 113 00:08:41,456 --> 00:08:45,955 S1: grew 41 percent in 2020. Soaring lumber prices are adding 114 00:08:45,956 --> 00:08:50,996 S1: 36000 dollars to the cost of new homes. Biden has 115 00:08:50,996 --> 00:08:55,826 S1: proposed ARPA dush each he dorper for cancer. I think 116 00:08:55,826 --> 00:08:59,186 S1: this is brilliant. Absolutely love it. It seems like they 117 00:08:59,186 --> 00:09:03,616 S1: would call it like Karpas or Harpa. Just to keep 118 00:09:03,616 --> 00:09:09,226 S1: the naming convention with Dapo, which is very recognizable. H 119 00:09:09,526 --> 00:09:14,536 S1: doesn't have the same ring to it. Over 3000 cargo 120 00:09:14,536 --> 00:09:18,285 S1: containers fell off ships last year, and we're already past 121 00:09:18,526 --> 00:09:20,866 S1: that pace by a long shot because a thousand have 122 00:09:20,866 --> 00:09:24,556 S1: already fallen into the ocean in 2021 due to pressure 123 00:09:24,556 --> 00:09:29,676 S1: to speed up deliveries, causing more accidents. There's now a 124 00:09:29,676 --> 00:09:34,535 S1: journal of controversial ideas, the JCI. Can't wait to see 125 00:09:34,536 --> 00:09:38,756 S1: what they publish. And a new study shows that consumption 126 00:09:38,756 --> 00:09:43,826 S1: of sugar sweetened beverages and high BMI independently are associated 127 00:09:43,826 --> 00:09:51,856 S1: with lower testosterone in men. Content, ideas and analysis explaining threats, 128 00:09:51,856 --> 00:09:55,616 S1: threat actors vulnerabilities and risk using a real world scenario. 129 00:09:56,326 --> 00:09:58,636 S1: This is my expansion of a tweet by my friend 130 00:09:58,636 --> 00:10:02,476 S1: Casey Ellis on how to think about these key infosec terms. 131 00:10:03,796 --> 00:10:06,046 S1: What's the read if you ever have to get into 132 00:10:06,046 --> 00:10:12,966 S1: these debates with. Friends and coworkers. A summary of biology 133 00:10:13,046 --> 00:10:17,486 S1: Srinivasan Thoughts on the future, my passing of a fascinating 134 00:10:17,486 --> 00:10:23,996 S1: for our conversation between Balaji Sreenevasan and Tim Ferriss, where 135 00:10:23,996 --> 00:10:26,606 S1: they're talking about the ideas of cities becoming a lot 136 00:10:26,606 --> 00:10:30,116 S1: more different from each other politically and attracting completely different 137 00:10:30,116 --> 00:10:34,226 S1: types of people like Austin seems to be tech plus libertarianism, 138 00:10:34,226 --> 00:10:38,066 S1: for example. Portland seems to be like hippie and anti authority. 139 00:10:38,936 --> 00:10:41,576 S1: So assuming people are mobile enough to pick up and move, 140 00:10:41,576 --> 00:10:45,596 S1: this could be a fascinating effect over time. Very significant 141 00:10:45,596 --> 00:10:48,026 S1: effect over time. I think it really does depend on 142 00:10:48,026 --> 00:10:49,795 S1: who can just pick up and move. I feel like 143 00:10:49,986 --> 00:10:53,276 S1: that's not a super common thing, requires money to move 144 00:10:53,276 --> 00:10:55,136 S1: and to have a job where you're going, that kind 145 00:10:55,136 --> 00:11:00,596 S1: of stuff. And but, yeah, it would make different cities 146 00:11:00,596 --> 00:11:04,406 S1: become kind of natural experiments around innovation and standard of 147 00:11:04,406 --> 00:11:07,726 S1: living and stuff. I think it's really cool. I love 148 00:11:07,726 --> 00:11:09,946 S1: the idea of the states being independent for this reason, 149 00:11:09,946 --> 00:11:14,356 S1: but this is like one of biologies ideas here was 150 00:11:14,356 --> 00:11:18,466 S1: that mayors are going to become more like CEOs. So 151 00:11:18,466 --> 00:11:20,146 S1: they'll have a lot more control and a lot more 152 00:11:20,146 --> 00:11:23,806 S1: innovation going on and that will increase the variance that 153 00:11:23,806 --> 00:11:27,016 S1: you see inside of these different cities. So I think 154 00:11:27,016 --> 00:11:33,706 S1: it's a really cool idea. Notes I Finished Our Mathematical 155 00:11:33,706 --> 00:11:37,696 S1: Universe by Max Tegmark, and I really think about the 156 00:11:37,696 --> 00:11:42,736 S1: greater existence of like universes, multiverses and stuff like that 157 00:11:42,736 --> 00:11:45,795 S1: in a completely different way. So I highly recommend this 158 00:11:45,796 --> 00:11:49,785 S1: book for anyone who likes Hawking, Sagan, Tyson or anything 159 00:11:49,786 --> 00:11:53,896 S1: related to cosmology. It'll blow your mind, this book will. 160 00:11:56,026 --> 00:11:59,655 S1: Currently rereading the Red Queen, which is the book of 161 00:11:59,656 --> 00:12:06,256 S1: the month, and you should definitely come join us. As 162 00:12:06,256 --> 00:12:08,566 S1: you may have noticed already, we launched our new logo 163 00:12:08,566 --> 00:12:12,586 S1: as part of our ongoing site design update, and it's 164 00:12:12,586 --> 00:12:14,476 S1: not just a new visual, has a lot of meaning 165 00:12:14,476 --> 00:12:17,086 S1: built into that, which I talk about in the launch post, 166 00:12:17,716 --> 00:12:21,296 S1: which I have linked to you in the newsletter. And 167 00:12:21,296 --> 00:12:25,405 S1: the you bookclub speaking, that is absolutely thriving. We're talking 168 00:12:25,406 --> 00:12:28,136 S1: about doing actually more meet ups, including a new midmonth 169 00:12:28,136 --> 00:12:30,836 S1: meet up with a rotating topic. We're talking about talking 170 00:12:30,836 --> 00:12:36,236 S1: about the future. We're talking about career conversations, exploring interesting 171 00:12:36,236 --> 00:12:39,146 S1: questions and seeing what each of us thinks just kind 172 00:12:39,146 --> 00:12:42,866 S1: of going around the table. And Tim, who's a big 173 00:12:42,866 --> 00:12:46,376 S1: part of our community and also runs his own community 174 00:12:46,376 --> 00:12:50,156 S1: in east Texas. He's already got a plan for how 175 00:12:50,156 --> 00:12:52,016 S1: we can lay out like 12 of these going for 176 00:12:52,016 --> 00:12:54,776 S1: a year out and basically have them all scheduled out 177 00:12:54,776 --> 00:12:58,935 S1: and really cool sort of theme in concept to each one. 178 00:12:59,636 --> 00:13:04,836 S1: So looking forward to that. We're also thinking about. Additional 179 00:13:04,986 --> 00:13:09,096 S1: meet ups, actually in regular space and meatspace, actual physical 180 00:13:09,096 --> 00:13:12,336 S1: meet ups, if that becomes a safe thing to do. 181 00:13:13,416 --> 00:13:15,936 S1: And the first one we're thinking about is a dinner 182 00:13:15,936 --> 00:13:19,076 S1: at Black at DEFCON next year, definitely not this year. 183 00:13:19,116 --> 00:13:22,956 S1: I'm not going I don't know who is, but. I 184 00:13:22,956 --> 00:13:25,476 S1: won't be there, but we're thinking for 20, 20 to 185 00:13:25,476 --> 00:13:28,776 S1: a dinner and also maybe a weekend getaway in Big 186 00:13:28,776 --> 00:13:32,046 S1: Sur where we bring family so we can actually go. 187 00:13:32,976 --> 00:13:35,316 S1: So that would be like during the day you spend 188 00:13:35,316 --> 00:13:38,946 S1: time with family or whatever, you know, family and kids 189 00:13:38,946 --> 00:13:42,846 S1: and whatever you're doing to be able to get yourself 190 00:13:42,846 --> 00:13:46,116 S1: out there to Big Sur. And then in the evenings, 191 00:13:46,446 --> 00:13:49,836 S1: the other group would get together and we would have 192 00:13:49,836 --> 00:13:54,366 S1: dinner or, I don't know, drinks, tea. I have no 193 00:13:54,366 --> 00:13:56,976 S1: idea what would be available there. But we would just 194 00:13:56,976 --> 00:14:00,136 S1: hang out in like a common area or outside, I 195 00:14:00,156 --> 00:14:03,036 S1: don't know. Do star walks like all kinds of astronomy 196 00:14:03,036 --> 00:14:06,486 S1: stuff we could do, but mostly conversation hanging out. Same 197 00:14:06,486 --> 00:14:08,866 S1: way we do in the book clubs and other meet ups. 198 00:14:09,456 --> 00:14:14,006 S1: So that's the idea. And yeah, our monthly meet up 199 00:14:14,336 --> 00:14:17,936 S1: the book club itself has become a favorite event of 200 00:14:17,936 --> 00:14:20,426 S1: the month for a number of our members and definitely 201 00:14:20,426 --> 00:14:23,816 S1: me included. And it just turns out it's a lot 202 00:14:23,816 --> 00:14:26,306 S1: of fun to talk about interesting topics with a bunch 203 00:14:26,306 --> 00:14:29,336 S1: of smart and pleasant people. It's like the Internet. We 204 00:14:29,336 --> 00:14:35,006 S1: were all promised, but so often never materialized. So few 205 00:14:35,006 --> 00:14:38,126 S1: are not a member. You should consider signing up and 206 00:14:38,126 --> 00:14:45,756 S1: coming to join us. Be a lot of fun. Discovery profiler, A.S. 207 00:14:45,766 --> 00:14:49,696 S1: Tool for finding social network profiles, one thing that these 208 00:14:49,696 --> 00:14:53,086 S1: tools are good for is looking up your own profile 209 00:14:53,086 --> 00:14:57,046 S1: and making sure that you either delete these accounts or 210 00:14:57,076 --> 00:15:00,466 S1: that you have them locked down properly. So if, you know, 211 00:15:00,466 --> 00:15:04,086 S1: you probably have multiple usernames over your. The course of 212 00:15:04,086 --> 00:15:07,626 S1: your IT career, but plug them into a tool like 213 00:15:07,626 --> 00:15:10,176 S1: this and, you know, you might get like 55 hits, 214 00:15:10,176 --> 00:15:13,506 S1: come back and be like, oh, I forgot that police existed. 215 00:15:13,686 --> 00:15:15,876 S1: And maybe it has like the dumbest password ever, which 216 00:15:15,876 --> 00:15:18,606 S1: is now in a million different leaks all over the place. 217 00:15:18,606 --> 00:15:21,036 S1: And you could just use it as a tool to 218 00:15:21,036 --> 00:15:26,886 S1: clean up after yourself. Whether Spark get a remarkably accurate 219 00:15:26,886 --> 00:15:30,006 S1: visual and description of the weather in any city, I 220 00:15:30,006 --> 00:15:32,856 S1: put the send for my home city and the city 221 00:15:32,856 --> 00:15:35,796 S1: I'm hoping to move back to soon. And it was yeah, 222 00:15:35,796 --> 00:15:42,936 S1: it was it was remarkably interesting, like really accurate. And 223 00:15:42,936 --> 00:15:44,476 S1: a couple of other people I know have tried to 224 00:15:45,036 --> 00:15:50,116 S1: get the same results. My friend Alejandro Hernandez at bioactive 225 00:15:50,116 --> 00:15:53,506 S1: where I used to work, has released new research on 226 00:15:53,506 --> 00:15:57,256 S1: how stock prices are affected by vulnerabilities and breaches, and 227 00:15:57,256 --> 00:16:01,986 S1: he's presenting his findings at Blackheart Asia. So congrats to 228 00:16:01,986 --> 00:16:08,076 S1: Alejandro on that. Gizzi release the world's smallest back door, really? 229 00:16:09,406 --> 00:16:13,966 S1: Cool looking little back door here. Other new U.S. federal 230 00:16:13,966 --> 00:16:18,296 S1: sea services, zero trust. And this one's crazy, it turns 231 00:16:18,296 --> 00:16:21,536 S1: out we've all been using our trash bags incorrectly, so 232 00:16:21,536 --> 00:16:23,996 S1: they're actually shipped to us inside out. So if you 233 00:16:23,996 --> 00:16:25,856 S1: look at if you just take one out of the 234 00:16:25,856 --> 00:16:29,106 S1: bag or the box. You'll see that the seam is 235 00:16:29,826 --> 00:16:33,186 S1: like facing you. You think that, oh, that's how it's 236 00:16:33,186 --> 00:16:35,466 S1: supposed to be. No, supposed to be that way. It's 237 00:16:35,466 --> 00:16:38,256 S1: actually inside out. And the reason for that is you're 238 00:16:38,256 --> 00:16:43,256 S1: supposed to just open it. Turn it upside down, so 239 00:16:43,256 --> 00:16:45,776 S1: the opening is facing down and then put it over 240 00:16:45,776 --> 00:16:49,166 S1: the outside of the trash can, then you just take 241 00:16:49,166 --> 00:16:50,816 S1: the rest of the bag and stuff it down in 242 00:16:50,816 --> 00:16:54,266 S1: the middle and now it's right side in. And you 243 00:16:54,266 --> 00:16:56,486 S1: didn't actually have to do all the shenanigans to get 244 00:16:56,486 --> 00:16:58,316 S1: it in there. So you put it on like a 245 00:16:58,316 --> 00:17:01,896 S1: hat and then push it down through the middle. Who knew? 246 00:17:02,666 --> 00:17:04,255 S1: I saw this one tick tock, I didn't want to 247 00:17:04,255 --> 00:17:06,626 S1: link to tick tock, so I'm linking to a YouTube 248 00:17:06,626 --> 00:17:11,936 S1: video describing. And the army has a new night vision 249 00:17:11,936 --> 00:17:15,475 S1: goggles and the visuals on these things look completely awesome. 250 00:17:15,485 --> 00:17:18,296 S1: So I was in the Army. I used to just 251 00:17:18,296 --> 00:17:21,235 S1: love playing with these night vision goggles when I was 252 00:17:21,235 --> 00:17:27,076 S1: on duty and. Yeah, these the old ones were like 253 00:17:27,076 --> 00:17:30,315 S1: this really kind of washed out green looking, which you've 254 00:17:30,316 --> 00:17:33,136 S1: probably seen in a million movies, and that's exactly how 255 00:17:33,136 --> 00:17:36,856 S1: they looked. It wasn't much contrast, very little depth of field. 256 00:17:36,856 --> 00:17:39,766 S1: Like there's a bunch of problems, these new ones. There's 257 00:17:39,766 --> 00:17:42,886 S1: like a white outline around everything. It's like very some 258 00:17:42,916 --> 00:17:46,126 S1: quite predator looking because Predator was actually worse than us. 259 00:17:46,576 --> 00:17:50,446 S1: But it's actually has detail. It's a white it's a 260 00:17:50,446 --> 00:17:54,436 S1: white visual instead of green. Which automatically seems to make 261 00:17:54,436 --> 00:17:58,036 S1: the contrast better. It's just very cool looking, actually have 262 00:17:58,036 --> 00:18:00,725 S1: a link to some of the video. In the show. 263 00:18:02,606 --> 00:18:05,996 S1: Got a cool list here of significant cyber incidents, which 264 00:18:05,996 --> 00:18:07,916 S1: I said on Twitter. I really wish this was a 265 00:18:07,916 --> 00:18:11,755 S1: spreadsheet so someone can make that happen. That would be awesome. 266 00:18:12,955 --> 00:18:15,955 S1: And got a link here to all cause mortality statistics 267 00:18:15,955 --> 00:18:20,246 S1: for each US state. And evidently, it's mostly updated. There 268 00:18:20,276 --> 00:18:22,346 S1: are a few stragglers states, I think they said North 269 00:18:22,346 --> 00:18:25,346 S1: Carolina is kind of lagging on data, but it's mostly 270 00:18:25,556 --> 00:18:28,046 S1: up to date and accurate. And it just shows a 271 00:18:28,046 --> 00:18:33,266 S1: massive number of what is its deaths that don't have 272 00:18:33,266 --> 00:18:35,536 S1: a reason. And I forgot there's a term for it. 273 00:18:35,546 --> 00:18:40,646 S1: It's like unaccounted for or something. But ah, no cause 274 00:18:40,646 --> 00:18:43,106 S1: is at no cost us anyway. It's in, it's in 275 00:18:43,106 --> 00:18:49,036 S1: the report and. It's fascinating. I mean, there's so much 276 00:18:49,036 --> 00:18:53,386 S1: additional numbers here, so I think what it really means 277 00:18:53,386 --> 00:18:56,176 S1: is the COVA numbers are likely to go up significantly 278 00:18:56,566 --> 00:19:01,985 S1: because they're just the proper attribution has been done. But 279 00:19:02,076 --> 00:19:07,065 S1: definitely worth taking a look at that visual. Got another 280 00:19:07,066 --> 00:19:09,586 S1: article here, welcome to the YOLO economy. This is from 281 00:19:09,586 --> 00:19:12,136 S1: New York Times, pretty good essay and how to make 282 00:19:12,136 --> 00:19:15,306 S1: your voice sounded more attractive and competent. This is a 283 00:19:15,316 --> 00:19:18,676 S1: BBC article and they're saying could also be the reason 284 00:19:18,676 --> 00:19:22,005 S1: for vocal fry, which is like what I try to 285 00:19:22,006 --> 00:19:23,715 S1: do just there, which is where you slow down your 286 00:19:23,716 --> 00:19:28,876 S1: voice and it drops very low. And evidently, it's supposed 287 00:19:28,876 --> 00:19:31,996 S1: to signify competence in some sort of way. There's a 288 00:19:31,996 --> 00:19:38,045 S1: pretty good article. Recommendations, if you like, thinking about the 289 00:19:38,046 --> 00:19:41,886 S1: future across tech policy, government, etc., you really should listen 290 00:19:41,886 --> 00:19:46,265 S1: to this conversation with biology that indicated above. It's on 291 00:19:46,266 --> 00:19:49,596 S1: the Tim Ferris podcast, which I haven't been listening to 292 00:19:49,596 --> 00:19:52,656 S1: Tim Ferriss much, honestly. But I do listen when I 293 00:19:53,106 --> 00:19:55,776 S1: hear a cool topic or a cool guest and this one, 294 00:19:56,556 --> 00:19:59,316 S1: it blew me away. It is almost four hours, so 295 00:19:59,316 --> 00:20:02,276 S1: I will warn you about that. I listened to 2x 296 00:20:02,316 --> 00:20:06,546 S1: on YouTube. So was it four hours for me? But 297 00:20:06,816 --> 00:20:08,496 S1: I took a lot of notes. I actually wrote that 298 00:20:08,496 --> 00:20:10,626 S1: whole post, which is the summary of it, trying to 299 00:20:10,626 --> 00:20:13,535 S1: capture all the ideas. But I'm telling you, if you 300 00:20:13,536 --> 00:20:15,725 S1: think about the future, if you like the future stuff 301 00:20:15,726 --> 00:20:18,236 S1: that I talk about, you should listen to this guy. 302 00:20:18,246 --> 00:20:23,706 S1: He's an investor. Andreessen Horowitz, like, really cool guy, happens 303 00:20:23,705 --> 00:20:27,066 S1: to have a PhD from Stanford, which he never mentions, 304 00:20:27,726 --> 00:20:31,416 S1: just a really smart guy and has some really interesting 305 00:20:31,596 --> 00:20:35,046 S1: ideas about where the future is going, especially as it 306 00:20:35,046 --> 00:20:37,535 S1: relates to crypto. That's kind of his thing about crypto. 307 00:20:38,166 --> 00:20:44,356 S1: So biology. Definitely recommend that you follow this guy and 308 00:20:44,596 --> 00:20:48,226 S1: start by listening to this episode on the team first podcast. 309 00:20:50,256 --> 00:20:55,116 S1: And the aphorism for the week. Everyone you meet is 310 00:20:55,116 --> 00:21:00,096 S1: fighting a battle you know nothing about, be kind always. 311 00:21:01,746 --> 00:21:04,235 S1: Everyone you meet is fighting a battle you know nothing 312 00:21:04,236 --> 00:21:08,106 S1: about the kind always. Robin Williams.