1 00:00:00,320 --> 00:00:04,960 Speaker 1: Biotech, biotech checking. We haven't talked about biotech in a while, 2 00:00:05,559 --> 00:00:08,080 Speaker 1: but you know in in in the Age of ai 3 00:00:09,240 --> 00:00:11,840 Speaker 1: H and I thought it was interesting that in video 4 00:00:11,840 --> 00:00:13,880 Speaker 1: when we spoke, when we spoke with some of the 5 00:00:13,920 --> 00:00:15,319 Speaker 1: people in the video, that we had a couple of 6 00:00:15,360 --> 00:00:20,599 Speaker 1: panels that some of the employees spoke on and probably 7 00:00:20,600 --> 00:00:24,079 Speaker 1: the number one thing that was talked about was medical Okay, yep, 8 00:00:24,840 --> 00:00:27,680 Speaker 1: probably for like over twenty minutes, they had a detailed 9 00:00:27,680 --> 00:00:34,040 Speaker 1: conversation about medical advancements and how their technology is going 10 00:00:34,080 --> 00:00:39,120 Speaker 1: to change medicine as far as you know, hospital experiences 11 00:00:39,159 --> 00:00:43,000 Speaker 1: and inpatient visits, doctors, different things that nature. That gave 12 00:00:43,080 --> 00:00:45,879 Speaker 1: us a whole a whole blueprint of how you know, 13 00:00:46,360 --> 00:00:50,599 Speaker 1: the medical industry will change because of artificial intelligence and 14 00:00:50,640 --> 00:00:53,760 Speaker 1: their technology specifically and the things that they were working 15 00:00:53,800 --> 00:00:57,640 Speaker 1: on when it comes to the medical field. So that's 16 00:00:57,680 --> 00:01:00,960 Speaker 1: one aspect of it. But you know, the biotech is 17 00:01:00,960 --> 00:01:03,840 Speaker 1: a big industry, So what's the biotech check in? 18 00:01:05,280 --> 00:01:07,080 Speaker 2: And I want to say, off of that point, for 19 00:01:07,160 --> 00:01:13,480 Speaker 2: those who think that in video trade is done, I 20 00:01:13,560 --> 00:01:15,160 Speaker 2: just want to be very clear, not just because I 21 00:01:15,200 --> 00:01:19,080 Speaker 2: picked it and YadA YadA. In video is like the 22 00:01:19,120 --> 00:01:21,800 Speaker 2: Blackrock of AI. I will say that we can talk 23 00:01:21,840 --> 00:01:24,160 Speaker 2: about it more in detail, but given how much they're 24 00:01:24,200 --> 00:01:26,959 Speaker 2: investing into the space and how they have their partnership structure, 25 00:01:27,520 --> 00:01:31,399 Speaker 2: I think it's fascinating. But on the biotech side, these 26 00:01:31,400 --> 00:01:33,520 Speaker 2: are three that you can write down, so you have 27 00:01:33,600 --> 00:01:37,520 Speaker 2: the ETF side. IBB great return, so if you don't 28 00:01:37,520 --> 00:01:39,280 Speaker 2: want to have to guess which ones to invest in, 29 00:01:39,920 --> 00:01:42,800 Speaker 2: you can just invest in the basket of them. Number 30 00:01:42,800 --> 00:01:47,160 Speaker 2: two Gilead, Gilead Scientists is an incredible company, has been 31 00:01:47,200 --> 00:01:50,080 Speaker 2: through and through. And number three is one that's been 32 00:01:50,120 --> 00:01:52,000 Speaker 2: in stock club forever and one that I don't talk 33 00:01:52,000 --> 00:01:56,080 Speaker 2: about publicly, and it's outpacing a lot of companies year 34 00:01:56,160 --> 00:02:00,000 Speaker 2: over year, and that's Amgen. I think Amgen's probably one 35 00:02:00,000 --> 00:02:01,880 Speaker 2: one of the greatest companies on the planet and one 36 00:02:01,880 --> 00:02:05,880 Speaker 2: of the best run ones in the biotech space. And 37 00:02:05,960 --> 00:02:09,800 Speaker 2: also Nvidia and Lily has the partnership. So it's a 38 00:02:09,800 --> 00:02:12,600 Speaker 2: lot of exciting things with AI. This happened as a result. 39 00:02:13,000 --> 00:02:14,760 Speaker 2: But if I had to put my money all on three, 40 00:02:14,800 --> 00:02:17,000 Speaker 2: it would be IBB, Amgen, which has been a top 41 00:02:17,040 --> 00:02:20,720 Speaker 2: picking stock stock club forever, and Gilead Sciences. That will 42 00:02:20,800 --> 00:02:21,880 Speaker 2: round up my top three. 43 00:02:22,520 --> 00:02:24,960 Speaker 3: There's a solid three. That's a solid three. Obviously we'll go, 44 00:02:25,160 --> 00:02:27,640 Speaker 3: We'll go, Lily, And I think, like you said, just 45 00:02:28,040 --> 00:02:32,120 Speaker 3: sometimes things don't need to be explicitly explained to you. 46 00:02:32,320 --> 00:02:35,240 Speaker 3: It's like the implicit intrinsic value of what's being said. 47 00:02:35,320 --> 00:02:37,880 Speaker 3: And like you said, when you sit there and you 48 00:02:37,960 --> 00:02:40,919 Speaker 3: listen to engineers in the field of healthcare when it 49 00:02:40,960 --> 00:02:44,880 Speaker 3: relates to AI and how the timeframes that it takes 50 00:02:44,919 --> 00:02:47,680 Speaker 3: to do things has just been shortened by technology. 51 00:02:47,760 --> 00:02:47,880 Speaker 2: Right. 52 00:02:47,919 --> 00:02:50,720 Speaker 3: They talked about doing genail and how it used to 53 00:02:50,800 --> 00:02:52,480 Speaker 3: take eight years and now they've got it down to 54 00:02:52,560 --> 00:02:54,320 Speaker 3: four hours, and like, what's that going to be in 55 00:02:54,360 --> 00:02:56,720 Speaker 3: the next three years? Is it take two? I mean, 56 00:02:56,760 --> 00:03:00,800 Speaker 3: just insanity, So I would take a different three. I 57 00:03:00,840 --> 00:03:02,639 Speaker 3: love your three. I just want to add and give 58 00:03:02,680 --> 00:03:05,000 Speaker 3: people as much value as possible. So I have literally 59 00:03:05,040 --> 00:03:10,440 Speaker 3: obviously as one, I have biogen. And this is interesting 60 00:03:10,520 --> 00:03:12,920 Speaker 3: because when when you hear biogen, the ticker is b 61 00:03:13,080 --> 00:03:18,359 Speaker 3: I I B. This is one that focuses on specific things, right, 62 00:03:18,400 --> 00:03:22,840 Speaker 3: So when I'm talking about in the world of biotech, 63 00:03:23,440 --> 00:03:26,280 Speaker 3: do they dominate in a specific area, right, Like when 64 00:03:26,320 --> 00:03:29,280 Speaker 3: we talk about GLPS, who's the dominant player in that, 65 00:03:29,919 --> 00:03:34,880 Speaker 3: like Biogen is a dominant in the neuro degenerative drugs. Right, 66 00:03:34,920 --> 00:03:37,680 Speaker 3: So we're talking about things that help treat Alzheimer's, things 67 00:03:37,680 --> 00:03:40,800 Speaker 3: that help to treat Parkinson's disease. They are leaders in that, 68 00:03:41,000 --> 00:03:43,920 Speaker 3: So Biogen would be one because I think the science 69 00:03:44,080 --> 00:03:46,600 Speaker 3: that is going to prevail in the future will go 70 00:03:46,800 --> 00:03:49,600 Speaker 3: into that space. How do we make things that were 71 00:03:49,680 --> 00:03:51,560 Speaker 3: once not curable now curable? 72 00:03:51,920 --> 00:03:52,000 Speaker 1: Right? 73 00:03:52,080 --> 00:03:54,480 Speaker 3: How do we shorten the time for that? And then 74 00:03:54,520 --> 00:03:56,760 Speaker 3: I got a sleeper here, man, I watched the chart 75 00:03:57,560 --> 00:03:59,680 Speaker 3: and obviously you know the topic list here, but Vertex's 76 00:03:59,680 --> 00:04:06,240 Speaker 3: pharmaceuticals ticker vr X another one that if you look 77 00:04:06,320 --> 00:04:10,640 Speaker 3: specifically at what they do and what they dominate at, Yeah, 78 00:04:10,960 --> 00:04:13,480 Speaker 3: is it an over leveraging the sense because they're dominant 79 00:04:13,480 --> 00:04:16,920 Speaker 3: at one thing? Well, we just talked about the riches 80 00:04:17,160 --> 00:04:20,520 Speaker 3: in those niches, right, and so they specifically focus on 81 00:04:20,560 --> 00:04:23,760 Speaker 3: being dominant in the treatment and care of CISTE fibrosis. 82 00:04:24,200 --> 00:04:26,960 Speaker 3: That is their thing, right, They're not doing glps. That 83 00:04:27,080 --> 00:04:29,680 Speaker 3: is their thing. That's been their thing, and they've dominated 84 00:04:29,720 --> 00:04:33,560 Speaker 3: at that. And so when you and this is a tricky, 85 00:04:33,640 --> 00:04:37,000 Speaker 3: tricky sector when we're talking about biotech, we talked about 86 00:04:37,040 --> 00:04:40,840 Speaker 3: this years ago. Yeah, it can come and it can go, 87 00:04:40,920 --> 00:04:44,599 Speaker 3: and it's tough to predict because science takes time. Cures 88 00:04:44,640 --> 00:04:47,760 Speaker 3: take time, treatments take time, testing, trials, all those things 89 00:04:48,240 --> 00:04:50,880 Speaker 3: factor in, pricing, factors in, and so it's a tough 90 00:04:50,880 --> 00:04:52,960 Speaker 3: sector to deal with. But I like the ones that 91 00:04:53,040 --> 00:04:56,040 Speaker 3: dominate in specific things, and so Lily, obviously, Biogen and 92 00:04:56,160 --> 00:05:00,119 Speaker 3: Vertex all have different dominant features, different things that they do, 93 00:05:00,400 --> 00:05:02,520 Speaker 3: but they're leading in those spaces. 94 00:05:03,160 --> 00:05:06,120 Speaker 2: Yeah, they remind me a little bit of Nvidio when 95 00:05:06,160 --> 00:05:07,719 Speaker 2: a m D was in the leite. They were so 96 00:05:07,839 --> 00:05:10,719 Speaker 2: good at one thing, eventually you would see them branch 97 00:05:10,760 --> 00:05:14,719 Speaker 2: out to others. Definitely a sleeper, and in this case, 98 00:05:14,760 --> 00:05:17,200 Speaker 2: the cream rises to the top. Like they've had some 99 00:05:17,240 --> 00:05:20,200 Speaker 2: tumultuous years. Twenty two is kind of tough. But with 100 00:05:20,279 --> 00:05:25,960 Speaker 2: this list Vertex, Amgen, Biogen, gilly ad like the cream 101 00:05:26,080 --> 00:05:28,360 Speaker 2: rose to the top. The players that were kind of 102 00:05:29,480 --> 00:05:31,880 Speaker 2: on the fringes have died out, So I don't think 103 00:05:31,880 --> 00:05:33,119 Speaker 2: you can go wrong with this list. 104 00:05:34,040 --> 00:05:36,080 Speaker 3: Yes, shout outs to the chat they got some of 105 00:05:36,120 --> 00:05:41,240 Speaker 3: these in their portfolios already already, Yep, after them. 106 00:05:41,440 --> 00:05:45,599 Speaker 1: Okay, but what do these be? What these be advisable investments. 107 00:05:46,720 --> 00:05:49,520 Speaker 2: No, absolutely, Amgen is one of the top performers in 108 00:05:49,520 --> 00:05:52,360 Speaker 2: stock Club. Stock Club. If you're in the chat for 109 00:05:52,440 --> 00:05:54,920 Speaker 2: fire and chat, if am Gen has been performing well, 110 00:05:54,960 --> 00:05:58,760 Speaker 2: for sure, Amgen, for sure, IBB great exposure, Gilliat would 111 00:05:58,760 --> 00:06:00,480 Speaker 2: be third. But if you just do ib am Gin 112 00:06:00,560 --> 00:06:05,480 Speaker 2: and Lily, Holy Trinity, Holy Trinity, you think speed felt good? 113 00:06:05,839 --> 00:06:11,600 Speaker 2: What I show speed portfolio for sure, IBB, am Gen 114 00:06:11,680 --> 00:06:15,000 Speaker 2: and Lily together, great combination, great combination. 115 00:06:16,520 --> 00:06:20,320 Speaker 1: Shout out to in Video once again. Yeah, they definitely 116 00:06:20,360 --> 00:06:23,159 Speaker 1: talked a lot about healthcare, and I think that was 117 00:06:23,160 --> 00:06:25,200 Speaker 1: the key takeaway at least for me, was you know, 118 00:06:25,240 --> 00:06:27,799 Speaker 1: they really hammered it that they're not they don't make anything. 119 00:06:28,040 --> 00:06:30,080 Speaker 1: They said that Haraian different times. It's like, we don't, 120 00:06:30,080 --> 00:06:33,280 Speaker 1: we don't make anything. You know, they're a software company. 121 00:06:33,360 --> 00:06:35,400 Speaker 1: They talked about that also, like most people think their 122 00:06:35,440 --> 00:06:39,840 Speaker 1: hardware company is actually a software company. And so when 123 00:06:39,839 --> 00:06:41,840 Speaker 1: you think of in video, most people thinking video as 124 00:06:41,839 --> 00:06:45,320 Speaker 1: a chip company. But I look at in video as 125 00:06:45,760 --> 00:06:51,520 Speaker 1: a medical company, as a gaming company, as a sports company, 126 00:06:51,800 --> 00:06:56,880 Speaker 1: because it's every it's everything everybody anything you put their 127 00:06:56,920 --> 00:07:01,320 Speaker 1: technology in, that's what it is. So medical industry. They 128 00:07:01,440 --> 00:07:05,680 Speaker 1: was very very enthusiastic about that, spoke a lot about that, 129 00:07:05,839 --> 00:07:08,040 Speaker 1: So that should give you some insight if you're interested 130 00:07:08,560 --> 00:07:11,240 Speaker 1: as far as where they're thinking about going. They also 131 00:07:11,280 --> 00:07:16,440 Speaker 1: spoke about robotics. They also spoke about autonomous driving vehicles, 132 00:07:16,480 --> 00:07:19,880 Speaker 1: and they showed us their garage, the autonomous driving garage. 133 00:07:19,920 --> 00:07:22,920 Speaker 1: So that's a few things that you guys might be 134 00:07:22,960 --> 00:07:24,840 Speaker 1: interested in if they if you're interested in as far 135 00:07:24,880 --> 00:07:26,920 Speaker 1: as some insight into the company, and shout out to 136 00:07:27,040 --> 00:07:29,840 Speaker 1: Peter and Nas. You know, when we came back, when 137 00:07:29,880 --> 00:07:32,320 Speaker 1: we came back from in Video, we had dinner with 138 00:07:32,400 --> 00:07:34,920 Speaker 1: Nas and we was talking about in video. 139 00:07:34,800 --> 00:07:39,080 Speaker 3: We gotta let that breathe like that brief in two seconds. 140 00:07:39,360 --> 00:07:41,520 Speaker 2: He's been breathing over these things. So I was on 141 00:07:41,560 --> 00:07:42,600 Speaker 2: the phone with a million the other. 142 00:07:42,560 --> 00:07:48,640 Speaker 3: Day like, oh yeah that Nas, Yeah, that got you 143 00:07:48,720 --> 00:07:52,080 Speaker 3: that That never that always is going to be like 144 00:07:52,160 --> 00:07:55,160 Speaker 3: pretty surreal, Like you walk into the restaurant and it's no, 145 00:07:55,640 --> 00:07:58,320 Speaker 3: what's up, Troy, It's good, let's go, Like it's just 146 00:07:58,560 --> 00:08:00,720 Speaker 3: huh what man. 147 00:08:00,720 --> 00:08:02,920 Speaker 2: He's one of the greatest investors, like hands out of 148 00:08:02,960 --> 00:08:05,880 Speaker 2: this era. Like if you put his returns up against 149 00:08:05,920 --> 00:08:09,320 Speaker 2: any VC firm. It's not talked about in that light, 150 00:08:09,400 --> 00:08:11,920 Speaker 2: but he's outperformed majority of them. 151 00:08:12,040 --> 00:08:13,640 Speaker 1: Well, the thing and the reason why I said that 152 00:08:13,720 --> 00:08:15,760 Speaker 1: is the reason why could you know obviously he's on 153 00:08:15,800 --> 00:08:19,160 Speaker 1: a run right now. He's involved in the casino. You know, 154 00:08:19,240 --> 00:08:23,600 Speaker 1: everybody's seeing his investment portfolio. Massive Pill arguably had the 155 00:08:23,640 --> 00:08:25,720 Speaker 1: best year in rap as far as all the albums 156 00:08:25,760 --> 00:08:28,760 Speaker 1: that they put out. But you know, with him, he 157 00:08:28,920 --> 00:08:32,000 Speaker 1: was just like, yo, damn, I gotta learn about He's like, yo, 158 00:08:32,080 --> 00:08:33,920 Speaker 1: y'all gotta next time. Y'all got to take me like 159 00:08:34,000 --> 00:08:37,040 Speaker 1: d like asking us questions like Yo, what they what 160 00:08:37,200 --> 00:08:38,679 Speaker 1: was they talking about? What did they have? 161 00:08:38,760 --> 00:08:38,800 Speaker 3: Like? 162 00:08:39,679 --> 00:08:42,839 Speaker 1: So I say that to say he's obviously extremely successful person. Right, 163 00:08:42,920 --> 00:08:47,240 Speaker 1: That's that goes what I'm saying. But he spent more 164 00:08:47,280 --> 00:08:53,800 Speaker 1: time asking questions than talking. So somebody like somebody like 165 00:08:53,880 --> 00:09:00,600 Speaker 1: that who's a legend icon, can you know, spend time 166 00:09:00,760 --> 00:09:06,080 Speaker 1: asking questions? You gotta you gotta be able to you know, 167 00:09:06,400 --> 00:09:08,600 Speaker 1: receive the information. And that's why this show is so 168 00:09:08,720 --> 00:09:11,920 Speaker 1: And his partner Peter, he was like he actually he 169 00:09:11,960 --> 00:09:15,880 Speaker 1: actually watches market mondays and implements on the information. So 170 00:09:16,760 --> 00:09:18,800 Speaker 1: you know, it's just at the highest level possible. People 171 00:09:18,880 --> 00:09:21,360 Speaker 1: is paying attention and listening, so never take the information 172 00:09:21,400 --> 00:09:21,880 Speaker 1: for granted. 173 00:09:22,040 --> 00:09:25,640 Speaker 3: Please don't, please don't. It was so dope because he 174 00:09:25,720 --> 00:09:29,880 Speaker 3: references in video on the new album when he heard 175 00:09:29,920 --> 00:09:31,640 Speaker 3: that we win, it was just like he was like 176 00:09:31,640 --> 00:09:33,920 Speaker 3: a sponge like yo word. He's like, I think I 177 00:09:34,040 --> 00:09:36,600 Speaker 3: met the CEO once, man, like he's a good guy. 178 00:09:37,840 --> 00:09:38,080 Speaker 1: It was. 179 00:09:38,120 --> 00:09:39,199 Speaker 3: It was really surreal. Man. 180 00:09:39,520 --> 00:09:42,000 Speaker 1: Yeah, shout out to nas Man. Somebody said, Nazia Jones. 181 00:09:42,000 --> 00:09:43,720 Speaker 1: There's only one