1
00:00:00,240 --> 00:00:03,480
Speaker 1: Now here's a highlight from Coast to Coast AM on

2
00:00:03,600 --> 00:00:06,880
Speaker 1: iHeart Radio. You are listening to Coast to Coast AM.

3
00:00:06,960 --> 00:00:10,600
Speaker 1: Connie willis here second half. Hopefully some of you or

4
00:00:10,640 --> 00:00:12,960
Speaker 1: all of you are on track with the time. By

5
00:00:13,039 --> 00:00:15,480
Speaker 1: the way, I know some of y'all are feeling it,

6
00:00:15,600 --> 00:00:19,720
Speaker 1: like what's going on? Daylight saving time always does that

7
00:00:19,760 --> 00:00:22,480
Speaker 1: to everybody, right, and yes it should be consistent across

8
00:00:22,520 --> 00:00:25,520
Speaker 1: the board, and any of those of you that follow

9
00:00:25,600 --> 00:00:27,760
Speaker 1: my career, you know that we attempted to do that

10
00:00:27,920 --> 00:00:32,000
Speaker 1: from w w k A out of Orlando. W DBO

11
00:00:32,720 --> 00:00:35,280
Speaker 1: is the AM which you would hear Coast to Coast on.

12
00:00:36,720 --> 00:00:40,040
Speaker 1: We worked it into I think it ended up turning

13
00:00:40,080 --> 00:00:43,199
Speaker 1: into a bill the you know, we were trying to

14
00:00:43,200 --> 00:00:47,000
Speaker 1: get it year round for the you know everybody, and

15
00:00:47,640 --> 00:00:50,279
Speaker 1: we I guess the people that could really make some

16
00:00:50,360 --> 00:00:52,720
Speaker 1: moves said they should do it. You know, they were

17
00:00:52,720 --> 00:00:55,000
Speaker 1: going to start out kind of regionally. They thought was

18
00:00:55,120 --> 00:00:56,720
Speaker 1: that was the better way. I don't know, you know

19
00:00:56,760 --> 00:00:59,520
Speaker 1: what to me? Take the big jump, well, baby steps,

20
00:00:59,560 --> 00:01:02,480
Speaker 1: you know what, people grow up anyway. I'm sorry, that's

21
00:01:02,480 --> 00:01:05,360
Speaker 1: just me. That's just me. Take the take the flying

22
00:01:05,440 --> 00:01:08,560
Speaker 1: elite man, become the Jack Lolanes and the Elane Lolanes

23
00:01:08,600 --> 00:01:12,039
Speaker 1: of the world. But the first person to ever sign

24
00:01:12,120 --> 00:01:15,120
Speaker 1: it was Sonny Bono. That's a that's always kind of

25
00:01:15,280 --> 00:01:17,479
Speaker 1: a neat little story to tell. But anyway, I hope

26
00:01:17,520 --> 00:01:19,760
Speaker 1: you guys are back in action. Your body's starting to

27
00:01:19,800 --> 00:01:22,280
Speaker 1: get used to it. Just you know, hey, come on,

28
00:01:22,880 --> 00:01:25,800
Speaker 1: get over it. Let's go. You lost an hour. Take

29
00:01:25,840 --> 00:01:30,080
Speaker 1: a nap somewhere. Um right, less see spring forward, fallback?

30
00:01:30,200 --> 00:01:33,160
Speaker 1: Right okay, yeah, free spring for Okay, thanks, So come on,

31
00:01:34,160 --> 00:01:36,840
Speaker 1: we should all be good, we should be insane anyway. Um,

32
00:01:37,640 --> 00:01:41,280
Speaker 1: I'm excited for our next guest, and I'm also a

33
00:01:41,319 --> 00:01:44,040
Speaker 1: little like whoa, So hang in there with me on this.

34
00:01:44,240 --> 00:01:47,240
Speaker 1: First of all, if you wanted to know about Elane's books,

35
00:01:47,240 --> 00:01:49,200
Speaker 1: you can, of course go to our website. You can

36
00:01:49,200 --> 00:01:51,840
Speaker 1: of course go to her website, and you can always

37
00:01:51,880 --> 00:01:54,360
Speaker 1: go to my website too at Connie Willis dot com.

38
00:01:54,400 --> 00:01:57,600
Speaker 1: I'll have her information up there too, as well as

39
00:01:57,640 --> 00:02:01,880
Speaker 1: past people's information, and we'll be putting all those people

40
00:02:01,880 --> 00:02:05,400
Speaker 1: on a podcast as well, so you'll always be able

41
00:02:05,440 --> 00:02:08,160
Speaker 1: to get more. So follow that so that you can go.

42
00:02:08,400 --> 00:02:11,560
Speaker 1: I want more of Elaine and I want to be

43
00:02:11,600 --> 00:02:13,440
Speaker 1: able to talk to her because so I'll set up

44
00:02:13,480 --> 00:02:16,080
Speaker 1: some of those live podcasts so that you can do that,

45
00:02:16,120 --> 00:02:18,480
Speaker 1: all right. So I'm just learning the developing of it

46
00:02:18,520 --> 00:02:21,359
Speaker 1: and all the technical parts of it. So anything you'd

47
00:02:21,400 --> 00:02:23,600
Speaker 1: like to do with me and join the shows and

48
00:02:23,639 --> 00:02:26,680
Speaker 1: just enjoy it because we have a good time. Please

49
00:02:26,760 --> 00:02:29,800
Speaker 1: go to Connie Willis dot com and thank you. Now.

50
00:02:29,840 --> 00:02:33,360
Speaker 1: A lot of times when we take callers, there's some

51
00:02:33,480 --> 00:02:38,080
Speaker 1: callers that you know that I guess me as a

52
00:02:38,080 --> 00:02:41,320
Speaker 1: broadcaster I listened to I'm like, hey man, this this

53
00:02:41,320 --> 00:02:44,240
Speaker 1: person is pretty cool, and you guys know that live

54
00:02:44,320 --> 00:02:46,520
Speaker 1: on the air, I'll say, all right, leave your information

55
00:02:46,560 --> 00:02:50,359
Speaker 1: with Donna or call screener, leave information right, and then

56
00:02:50,400 --> 00:02:54,000
Speaker 1: she'll get it back to me. And that's when I'm like, hmmm,

57
00:02:54,160 --> 00:02:56,000
Speaker 1: I think you should be you should have your own

58
00:02:56,000 --> 00:02:58,000
Speaker 1: show with me sometimes. So this is one of the

59
00:02:58,080 --> 00:03:01,520
Speaker 1: guys that's on next that I did that with, and

60
00:03:01,680 --> 00:03:03,720
Speaker 1: you know, lo and behold, he's been on with you know,

61
00:03:03,760 --> 00:03:06,000
Speaker 1: our Bell, He's been on with yours Nori, you know

62
00:03:06,040 --> 00:03:08,680
Speaker 1: a ton of bazillion times. He's been all over the place,

63
00:03:09,840 --> 00:03:12,240
Speaker 1: and it's great to know that he's listening to the

64
00:03:12,280 --> 00:03:15,160
Speaker 1: show and loves to listen to the show and and

65
00:03:15,200 --> 00:03:18,799
Speaker 1: we'll call in. It's just that's always a neat thing

66
00:03:18,880 --> 00:03:23,200
Speaker 1: that it's mutual. That mutual. Now, one of the things

67
00:03:23,200 --> 00:03:26,799
Speaker 1: I like is he's highly intelligent. He knows what he's

68
00:03:26,800 --> 00:03:29,120
Speaker 1: talking about, or at least he leads me to believe it.

69
00:03:29,160 --> 00:03:31,360
Speaker 1: He's really good at that. But I can say, well,

70
00:03:31,360 --> 00:03:35,520
Speaker 1: what's that you know, and he'll he'll do He's kind's

71
00:03:36,160 --> 00:03:38,680
Speaker 1: he understands it might go over your head, so he's

72
00:03:38,720 --> 00:03:41,200
Speaker 1: not going to laugh at you. He'll explain it to you.

73
00:03:42,040 --> 00:03:45,360
Speaker 1: And that is very important because there's a lot of people,

74
00:03:45,520 --> 00:03:47,760
Speaker 1: and you guys have heard him before where they will

75
00:03:47,800 --> 00:03:49,920
Speaker 1: just talk right over your head and you have no

76
00:03:50,000 --> 00:03:53,400
Speaker 1: clue what they just said, and you're like five paragraphs

77
00:03:53,480 --> 00:03:55,680
Speaker 1: back and they're so far ahead of you you know

78
00:03:55,720 --> 00:04:00,000
Speaker 1: you've already lost it. So as he talks, if there's

79
00:03:59,840 --> 00:04:03,080
Speaker 1: anything where I need to stop him, and it's just

80
00:04:03,080 --> 00:04:05,760
Speaker 1: because of me, maybe you're past that, but there's a

81
00:04:05,760 --> 00:04:08,480
Speaker 1: lot more people, probably like me, that are going to

82
00:04:08,560 --> 00:04:11,119
Speaker 1: go what and they are very thankful that I might

83
00:04:11,200 --> 00:04:13,720
Speaker 1: stop him and ask. That way we can stay in

84
00:04:13,800 --> 00:04:15,960
Speaker 1: line with them. So we'll do our best to follow him.

85
00:04:15,960 --> 00:04:19,520
Speaker 1: But he also knows, Hey, you got to dummy it

86
00:04:19,600 --> 00:04:21,960
Speaker 1: down for at least me for sure. And so this

87
00:04:22,000 --> 00:04:26,240
Speaker 1: is Charles Ostman. You've heard him on here before. No

88
00:04:26,279 --> 00:04:30,280
Speaker 1: doubt he's experienced, his experience and clues. I'm going to

89
00:04:30,320 --> 00:04:31,960
Speaker 1: give you a little bit here, and then I'll let

90
00:04:32,080 --> 00:04:34,279
Speaker 1: him do a lot of it too, because I'm sure

91
00:04:34,279 --> 00:04:36,600
Speaker 1: he will. He can name some things that I'll never

92
00:04:36,680 --> 00:04:40,200
Speaker 1: have mentioned. But his experience includes forty five plus years

93
00:04:40,200 --> 00:04:45,200
Speaker 1: in the fields of electronics, material science, computing, artificial intelligence,

94
00:04:45,720 --> 00:04:49,320
Speaker 1: starting with eight years at Lawrence Berkeley Laboratory at the

95
00:04:49,400 --> 00:04:53,720
Speaker 1: University of California, Berkeley, Cool and at Los Alamos National Laboratory.

96
00:04:53,960 --> 00:04:56,960
Speaker 1: Cool Cool, Cool, Cool Cool. He's been a senior fellow

97
00:04:56,960 --> 00:05:00,280
Speaker 1: at the Institute for Global Futures, a consulting grew that

98
00:05:00,480 --> 00:05:06,279
Speaker 1: provides strategic research services to private and government clientele. I

99
00:05:06,400 --> 00:05:10,160
Speaker 1: love this. Co founder of nanosig and organization with the

100
00:05:10,200 --> 00:05:15,839
Speaker 1: primary charter of facilitating investment in nanotechnology related ventures. And

101
00:05:15,880 --> 00:05:18,760
Speaker 1: in fact, basically tonight we're going to be talking about

102
00:05:18,920 --> 00:05:24,440
Speaker 1: nanotechnology as a core catalyst of accelerating next stage evolution.

103
00:05:25,120 --> 00:05:28,640
Speaker 1: What is it and what is it not yet? Now

104
00:05:28,640 --> 00:05:32,400
Speaker 1: wait a minute, Now you might go oh this sounds

105
00:05:32,440 --> 00:05:35,760
Speaker 1: so boring, man, you know, sorry, Connie going to sleep.

106
00:05:35,920 --> 00:05:37,800
Speaker 1: No no, no, no no, no, no, no no, no, no, We're

107
00:05:37,839 --> 00:05:41,960
Speaker 1: gonna not at all. In fact, I love saying nano

108
00:05:42,080 --> 00:05:43,840
Speaker 1: nano earlier, by the way, I thought that was kind

109
00:05:43,839 --> 00:05:47,159
Speaker 1: of cool. But really the biggest thing is and we're

110
00:05:47,200 --> 00:05:49,880
Speaker 1: gonna bring on Charles right now. Welcome once again, Charles.

111
00:05:49,920 --> 00:05:53,279
Speaker 1: And the question what we're gonna ask first is why

112
00:05:53,920 --> 00:05:59,159
Speaker 1: is nanotechnology relevant to us? That is probably the bigger question.

113
00:05:59,279 --> 00:06:03,400
Speaker 1: So Charles, yeay, you're here, Thanks so much. Well in

114
00:06:03,560 --> 00:06:06,000
Speaker 1: Hi Kanye, I've always listened to for a long time,

115
00:06:06,040 --> 00:06:09,040
Speaker 1: and here we are. This is amazing. I'm actually quite astonished,

116
00:06:09,480 --> 00:06:11,719
Speaker 1: I know, and we've made it. I'm very happy about it.

117
00:06:11,760 --> 00:06:15,600
Speaker 1: And what's cool is you have put together some graphics

118
00:06:15,839 --> 00:06:19,159
Speaker 1: so that people can follow on the website. Yeah, that's

119
00:06:19,160 --> 00:06:21,200
Speaker 1: the basic idea. And I wanted to make the point

120
00:06:21,240 --> 00:06:24,080
Speaker 1: that it's not now technology as a singular sort of

121
00:06:24,160 --> 00:06:28,719
Speaker 1: vertical storm of pipe topic development or technology. It's really

122
00:06:28,760 --> 00:06:32,120
Speaker 1: at the center, almost like an actual of a wheel

123
00:06:32,320 --> 00:06:34,560
Speaker 1: with all these different spokes kind of rating out of it.

124
00:06:34,960 --> 00:06:40,600
Speaker 1: And it's a core fundamental technology which actually allows many

125
00:06:40,640 --> 00:06:44,320
Speaker 1: other technologies to be more plausible or possible, I should say,

126
00:06:44,800 --> 00:06:47,320
Speaker 1: in the near future, even the present term. So if

127
00:06:47,320 --> 00:06:50,279
Speaker 1: I had to describe what nanotech actually is, the symbolist

128
00:06:50,760 --> 00:06:54,440
Speaker 1: sort of Akin's razor approach would be this the manipulation

129
00:06:54,520 --> 00:06:58,479
Speaker 1: of matter at the molecular or even atomic scale of pursuit.

130
00:07:00,240 --> 00:07:03,320
Speaker 1: So to me, it was always it's just really really

131
00:07:03,360 --> 00:07:08,240
Speaker 1: itty bitty, itty bitty tiny. Yeah, but is not that

132
00:07:08,320 --> 00:07:10,880
Speaker 1: relevant unless you can do something with it. It's very

133
00:07:11,120 --> 00:07:16,280
Speaker 1: predictable or specific to a cause. She said, I'm sorry,

134
00:07:16,560 --> 00:07:22,440
Speaker 1: I should not say that's funny. I best go. And

135
00:07:22,480 --> 00:07:24,440
Speaker 1: by the way, I've really impressed with your previous guest.

136
00:07:24,520 --> 00:07:27,200
Speaker 1: I mean yes, I mean I should never lived to

137
00:07:27,360 --> 00:07:31,200
Speaker 1: ninety seven and'll be that functional. I don't know. I

138
00:07:31,280 --> 00:07:35,680
Speaker 1: feel robot half the time, so I don't know. She

139
00:07:35,920 --> 00:07:38,960
Speaker 1: is amazing and she's like that all the time. She's

140
00:07:39,000 --> 00:07:41,840
Speaker 1: such a hoot. And you know, I was concerned of

141
00:07:42,360 --> 00:07:44,200
Speaker 1: you know, you're gonna be on lay? Is that cool?

142
00:07:44,600 --> 00:07:46,680
Speaker 1: And she said, you know, when Jack was alive, I

143
00:07:46,720 --> 00:07:48,680
Speaker 1: would get up early because he was the early bird.

144
00:07:48,720 --> 00:07:52,280
Speaker 1: But now that he's not here with us anymore, I

145
00:07:52,320 --> 00:07:54,360
Speaker 1: am back to my old self of being a night owl.

146
00:07:54,360 --> 00:07:56,720
Speaker 1: So she said, I'm good. I'm good to go. So

147
00:07:56,880 --> 00:07:59,040
Speaker 1: that was great, and thanks for being on standby just

148
00:07:59,080 --> 00:08:01,880
Speaker 1: in case. Absolutely. Well, you know, it's interesting my best

149
00:08:01,880 --> 00:08:03,760
Speaker 1: hours at like three to four o'clock in the morning.

150
00:08:03,920 --> 00:08:05,640
Speaker 1: I don't know why, it just turns out that way

151
00:08:05,880 --> 00:08:09,640
Speaker 1: and time. I really do wish that this day light

152
00:08:09,760 --> 00:08:14,280
Speaker 1: losing time. Alcohol it right, I'll get resolved. I almost

153
00:08:14,280 --> 00:08:16,440
Speaker 1: got thrown off because I didn't know exactly what time

154
00:08:16,480 --> 00:08:18,800
Speaker 1: it was and I was doing all my stuff here

155
00:08:18,800 --> 00:08:20,560
Speaker 1: and I've realized, I wait a second, I'm an hour off.

156
00:08:20,760 --> 00:08:23,200
Speaker 1: Now I want to make sure I didn't like miss

157
00:08:23,240 --> 00:08:26,120
Speaker 1: the show or something. So anyway, here we are. We

158
00:08:26,360 --> 00:08:30,120
Speaker 1: thank you for being responsible for that too. So so yeah,

159
00:08:30,200 --> 00:08:35,320
Speaker 1: so okay, nanotechnology were again? Why why why should I

160
00:08:35,360 --> 00:08:37,600
Speaker 1: care about it? What's the big deal with it with me?

161
00:08:38,400 --> 00:08:43,640
Speaker 1: Because whether or not you're looking at computing, medicine, any

162
00:08:43,720 --> 00:08:49,600
Speaker 1: form of telecommunications, any kind of manufacturing, just about all

163
00:08:49,600 --> 00:08:52,400
Speaker 1: the stuff that you've seen or daily life, and you,

164
00:08:52,400 --> 00:08:56,120
Speaker 1: yourself as a person, as a living thing, aren't going

165
00:08:56,160 --> 00:08:59,960
Speaker 1: to be or already are in some ways affected by nanotechnology.

166
00:09:00,280 --> 00:09:01,920
Speaker 1: You may not see it, I mean as hard as

167
00:09:02,040 --> 00:09:05,959
Speaker 1: you now skills anyway, but I mean the artifacts or

168
00:09:06,040 --> 00:09:11,040
Speaker 1: the consequences of nanotechnology is already present in a lot

169
00:09:11,080 --> 00:09:15,880
Speaker 1: of different materials and audito existing products. It may not

170
00:09:15,960 --> 00:09:19,240
Speaker 1: be like you wake up one morning somebody discovered nanotech everywhere.

171
00:09:19,640 --> 00:09:24,600
Speaker 1: It's more of a transition. But we're in that transition now, well,

172
00:09:24,640 --> 00:09:28,160
Speaker 1: I mean aren't we, because like these phones get smaller

173
00:09:28,280 --> 00:09:30,880
Speaker 1: or actually whether well sometimes you want them a little bigger,

174
00:09:30,880 --> 00:09:33,440
Speaker 1: but I like them smaller. But more and more and

175
00:09:33,520 --> 00:09:35,280
Speaker 1: more and more and more and more and more things

176
00:09:35,320 --> 00:09:38,480
Speaker 1: fit in them, and function comes from it. It's not

177
00:09:38,520 --> 00:09:41,920
Speaker 1: a nactor of science, unle a matter of complexity. In fact,

178
00:09:41,920 --> 00:09:45,120
Speaker 1: there's something called more in law, which talks about technologies

179
00:09:45,280 --> 00:09:47,760
Speaker 1: doubles every you know, so many months and so on. Well,

180
00:09:47,800 --> 00:09:49,600
Speaker 1: that's kind of an outdated way of looking at it.

181
00:09:49,640 --> 00:09:51,560
Speaker 1: They be used to measure by the number of transistors

182
00:09:51,600 --> 00:09:54,440
Speaker 1: you could fit into a specific area. But I'll sort

183
00:09:54,440 --> 00:09:56,319
Speaker 1: of go against that, and I would say it's more

184
00:09:56,320 --> 00:09:59,680
Speaker 1: to do with the amount of complexity you can sit

185
00:09:59,760 --> 00:10:02,920
Speaker 1: into a a certain amount of time space. That's probably

186
00:10:02,960 --> 00:10:05,160
Speaker 1: a better way of looking at it, especially now if

187
00:10:05,160 --> 00:10:07,880
Speaker 1: you look at quantum computing, which is on such a

188
00:10:07,960 --> 00:10:13,480
Speaker 1: radical different scale of computational resource that is trying to

189
00:10:13,480 --> 00:10:17,800
Speaker 1: measure the size that transistors completely irrelevant acshally in that context.

190
00:10:18,240 --> 00:10:20,760
Speaker 1: But even before we get to quantum computing, just to

191
00:10:20,800 --> 00:10:23,000
Speaker 1: get to other types of computing, of which there is

192
00:10:23,120 --> 00:10:27,240
Speaker 1: both biological and sort of inorganic mediums you can work with. Again,

193
00:10:27,240 --> 00:10:29,600
Speaker 1: it's not how small is a thing, but rather how

194
00:10:29,679 --> 00:10:33,240
Speaker 1: much functionality can you pack into a specific region of

195
00:10:33,280 --> 00:10:37,160
Speaker 1: space time. So looking at some of the bullet points

196
00:10:37,200 --> 00:10:39,280
Speaker 1: you and I put together, or you put together for me,

197
00:10:39,360 --> 00:10:42,719
Speaker 1: so that I can go through this, because this is

198
00:10:42,760 --> 00:10:44,760
Speaker 1: a whole another world for me. This is out of

199
00:10:44,760 --> 00:10:49,640
Speaker 1: your brain. So what about these smart materials and all

200
00:10:49,679 --> 00:10:52,959
Speaker 1: the self organizing and self assembling all that kind of thing. Sure,

201
00:10:53,160 --> 00:10:57,520
Speaker 1: so I'll start by saying this, we're surrounded by self organizing,

202
00:10:57,520 --> 00:11:01,240
Speaker 1: a self assembling downtech everywhere. Almost living things are just that.

203
00:11:02,520 --> 00:11:05,080
Speaker 1: If you look into a cell, if you look into

204
00:11:05,280 --> 00:11:09,839
Speaker 1: the nucleus of a cell, the organelles, the ribosomes, other protosomes, etc.

205
00:11:10,720 --> 00:11:13,120
Speaker 1: That's what they do. They literally take a part and

206
00:11:13,280 --> 00:11:19,320
Speaker 1: reassemble various molecules to accommodate the physiological requirements of that

207
00:11:19,360 --> 00:11:23,040
Speaker 1: particular cell. And more importantly, how that's organs. There were

208
00:11:23,480 --> 00:11:26,319
Speaker 1: functions with an a larger body. Now it's kind of

209
00:11:26,360 --> 00:11:29,960
Speaker 1: fascinating is in the current scheme of things in terms

210
00:11:30,040 --> 00:11:33,320
Speaker 1: of biolot what I might call nanobiology, one of the

211
00:11:33,320 --> 00:11:36,440
Speaker 1: main target goals right now is to use what I'll

212
00:11:36,480 --> 00:11:41,520
Speaker 1: call quasi viral components to target offending cells by cancer

213
00:11:41,559 --> 00:11:45,160
Speaker 1: cells and be able to nutilize them, or to target

214
00:11:45,240 --> 00:11:47,960
Speaker 1: other try of cells and affect their physiology in some

215
00:11:48,040 --> 00:11:51,880
Speaker 1: kind of hopefully proactive way. Viruses are really good at this,

216
00:11:52,600 --> 00:11:55,000
Speaker 1: and you may be scared flay a minute free or

217
00:11:55,040 --> 00:11:58,480
Speaker 1: people panic, there's actually a good side of this because

218
00:11:58,520 --> 00:12:01,560
Speaker 1: if you sort of break apart a virus, what really

219
00:12:01,559 --> 00:12:04,440
Speaker 1: does It has a proteomic sennature kind of like a

220
00:12:04,480 --> 00:12:07,360
Speaker 1: hand to above all cells are just most of it's

221
00:12:07,400 --> 00:12:11,760
Speaker 1: to say, have an outer sheath of proteins that stick

222
00:12:11,800 --> 00:12:15,040
Speaker 1: out like fingers almost. It's the RNA sennature of that

223
00:12:15,040 --> 00:12:20,000
Speaker 1: particular type of cell, and viruses will target whatever cell

224
00:12:20,120 --> 00:12:24,000
Speaker 1: that third external RNA features won't cling to. That's why

225
00:12:24,000 --> 00:12:27,840
Speaker 1: it has different viruses for specific organisms, even for specific organs.

226
00:12:27,840 --> 00:12:30,520
Speaker 1: That kind of thing. So in a virus encounters the

227
00:12:30,600 --> 00:12:33,160
Speaker 1: right kind of cell, that's supposed to mate for it

228
00:12:33,240 --> 00:12:35,920
Speaker 1: will then for enxonic action, kind of nibulous way to

229
00:12:36,000 --> 00:12:39,679
Speaker 1: the cell ball goes to the cytoplasm. And then and

230
00:12:39,720 --> 00:12:42,360
Speaker 1: then they'll target one of the riber zones are one

231
00:12:42,400 --> 00:12:46,120
Speaker 1: of the other proteosomes and force that protozome to make

232
00:12:46,160 --> 00:12:49,960
Speaker 1: more virus as opposed to making more of the molecular

233
00:12:49,960 --> 00:12:53,640
Speaker 1: structure stuff normally going to keeping that cell functioning. Now,

234
00:12:53,679 --> 00:12:56,400
Speaker 1: that second part we don't like, but the first part

235
00:12:56,480 --> 00:12:59,319
Speaker 1: is wonderful because that excuse me. Now we have a

236
00:12:59,360 --> 00:13:02,320
Speaker 1: way of targeting whatever kind of cell we're looking for,

237
00:13:02,760 --> 00:13:06,040
Speaker 1: cancer cells and doing something with it, hopefully killing it

238
00:13:06,480 --> 00:13:08,719
Speaker 1: or turning it into a type of cell. They'll then

239
00:13:08,720 --> 00:13:10,840
Speaker 1: go after other cancer cells that sort of thing. And

240
00:13:10,840 --> 00:13:14,640
Speaker 1: that's already being done. Oh like a double spy man,

241
00:13:14,720 --> 00:13:20,319
Speaker 1: turn them around, make them go the other way, use them. Well,

242
00:13:21,280 --> 00:13:27,360
Speaker 1: fantastic voyage. Yes, quite bad. It's sort of like that

243
00:13:27,440 --> 00:13:29,880
Speaker 1: in the way. We're not shrinking people now and putting

244
00:13:29,920 --> 00:13:32,440
Speaker 1: them to the submarine, but we are taking already existing

245
00:13:32,480 --> 00:13:35,560
Speaker 1: submarine of sorts of vir entity and using it for

246
00:13:35,600 --> 00:13:41,199
Speaker 1: our purposes. Is that Okay? Now, I've seen videos or

247
00:13:41,240 --> 00:13:44,680
Speaker 1: films or something where they would create like it's almost

248
00:13:44,679 --> 00:13:46,800
Speaker 1: like a let's just say an eighty by eighty bitty

249
00:13:46,880 --> 00:13:50,400
Speaker 1: little like submarine is drone. Yeah, and then you could

250
00:13:50,480 --> 00:13:53,880
Speaker 1: take it and go move it around and then kill

251
00:13:53,920 --> 00:13:56,600
Speaker 1: what you wanted to kill. Is that is that happening?

252
00:13:57,360 --> 00:13:59,920
Speaker 1: That's another we look a different way of looking at

253
00:13:59,920 --> 00:14:04,439
Speaker 1: it would be an artificial immune system. Excuse thing. I'm

254
00:14:04,440 --> 00:14:05,959
Speaker 1: so sorry for my voice. By the way, I've got

255
00:14:05,960 --> 00:14:08,320
Speaker 1: this horrible poll going on, so I promise I won't

256
00:14:08,360 --> 00:14:11,679
Speaker 1: die or anything, but if I sell, by the way,

257
00:14:11,679 --> 00:14:14,160
Speaker 1: before I forget, Um, I really want to thank Ryan

258
00:14:14,280 --> 00:14:17,080
Speaker 1: a lot. He didn't. He did an amazing job getting

259
00:14:17,120 --> 00:14:19,360
Speaker 1: all my stuff posted up there at the eleventh arm

260
00:14:19,360 --> 00:14:22,560
Speaker 1: forty nine minute. Um, he was freely patient let me

261
00:14:22,680 --> 00:14:26,040
Speaker 1: repost all my stuff and he was great. So for

262
00:14:26,120 --> 00:14:29,520
Speaker 1: anybody been checking it out, you want to thank ryanc.

263
00:14:29,640 --> 00:14:31,160
Speaker 1: He did a marvelous job. Just you want to make

264
00:14:31,200 --> 00:14:34,440
Speaker 1: that point. Yeah, go to Coast to Coast am dot

265
00:14:34,440 --> 00:14:37,120
Speaker 1: com and then look for I think it says I'm

266
00:14:37,200 --> 00:14:38,840
Speaker 1: I'm already on the page, so I think it says

267
00:14:38,840 --> 00:14:43,280
Speaker 1: like related feature. So this down below the carousel and

268
00:14:43,400 --> 00:14:46,600
Speaker 1: you'll see the pictures that I'm looking at myself just

269
00:14:46,600 --> 00:14:49,360
Speaker 1: go on, I still don't get it. Yeah, but well

270
00:14:49,520 --> 00:14:53,600
Speaker 1: but that's like, that's why Charles is, you know, gonna

271
00:14:53,600 --> 00:14:57,360
Speaker 1: explain it? Are you called chuck as well? I kept on, Chuck,

272
00:14:59,000 --> 00:15:11,480
Speaker 1: no chart, okay, okay, So anyway, so I'm sorry, seeing

273
00:15:11,760 --> 00:15:15,480
Speaker 1: of biological things in the nano world, this may be

274
00:15:15,600 --> 00:15:17,360
Speaker 1: sort of relevant, and it may be part of how

275
00:15:17,360 --> 00:15:20,560
Speaker 1: we go into discussion later. But there is a quite

276
00:15:20,560 --> 00:15:23,920
Speaker 1: an interest by the FDA to figure out how they're

277
00:15:23,920 --> 00:15:28,040
Speaker 1: going to classify this genre of development from a medical perspector.

278
00:15:28,640 --> 00:15:31,960
Speaker 1: And the reasoning is because in earlier times, there are

279
00:15:31,960 --> 00:15:37,440
Speaker 1: two major categories of regulatory protocols wonder, which covered chemistry,

280
00:15:37,920 --> 00:15:42,760
Speaker 1: that being drugs, the other which covered machines, mostly machines

281
00:15:42,760 --> 00:15:44,640
Speaker 1: that are outside the body. You know, we're revoked up

282
00:15:44,680 --> 00:15:47,280
Speaker 1: to various devices and scanners and that kind of thing,

283
00:15:47,440 --> 00:15:49,800
Speaker 1: and more recently going to implant that sort of thing.

284
00:15:50,080 --> 00:15:56,040
Speaker 1: But all these regulatory protocols were wrapped around machines. Now,

285
00:15:56,120 --> 00:15:59,160
Speaker 1: in the world of nanotex, it's not exactly a chemical,

286
00:16:00,280 --> 00:16:02,040
Speaker 1: but it's not affecting a machine either, not in a

287
00:16:02,120 --> 00:16:04,800
Speaker 1: traditional sense. So what do you kind of write it

288
00:16:04,840 --> 00:16:08,400
Speaker 1: as So in two thousand and six, I was fetched

289
00:16:08,440 --> 00:16:10,600
Speaker 1: upon by the FDA wapp to the Press of Maryland

290
00:16:10,840 --> 00:16:13,320
Speaker 1: along with other folks that came by. Weeks later. I

291
00:16:13,400 --> 00:16:15,280
Speaker 1: gave a nine even a presentation. I mean, if you

292
00:16:15,320 --> 00:16:17,880
Speaker 1: think these slides are a bit elaboration in one hundred

293
00:16:17,880 --> 00:16:20,440
Speaker 1: plus lights, I had for that. But after giving this

294
00:16:20,520 --> 00:16:23,160
Speaker 1: presentation and went to all these different details about denvermers

295
00:16:23,200 --> 00:16:27,400
Speaker 1: and different kinds of organic molecules and you know, different

296
00:16:27,800 --> 00:16:30,600
Speaker 1: using plugy or open fundations and materfact delivery system all

297
00:16:30,600 --> 00:16:33,600
Speaker 1: that kind of stuff. Are you like roaming around the house?

298
00:16:33,640 --> 00:16:35,760
Speaker 1: Are you on your lag? Are you like crawling around

299
00:16:35,800 --> 00:16:37,760
Speaker 1: like a marine? Or what's going on over there? Man,

300
00:16:38,160 --> 00:16:40,720
Speaker 1: I'm sitting here in a shaer Oh it sound like

301
00:16:40,760 --> 00:16:43,800
Speaker 1: you're going in and out of something. Oh no, I'm

302
00:16:43,800 --> 00:16:47,520
Speaker 1: so sorry. Now you sound good, You sound good? Okay, well,

303
00:16:47,560 --> 00:16:49,720
Speaker 1: I'm so sorry. I think I think probable breathing for

304
00:16:49,800 --> 00:16:52,720
Speaker 1: them to be part of it. No breathing during the show,

305
00:16:52,760 --> 00:16:57,320
Speaker 1: thank you very much. It up or no, no dying alone. Yeah,

306
00:16:57,600 --> 00:17:00,480
Speaker 1: trying to have a show here, Okay, Yeah, the show

307
00:17:00,480 --> 00:17:04,200
Speaker 1: go ahead and crop off. Okay, So anyway, getting back

308
00:17:04,200 --> 00:17:08,480
Speaker 1: to the more realistic role, perhaps after ninety minutes or

309
00:17:08,480 --> 00:17:11,480
Speaker 1: so of this presentation, a few of the folks, we're

310
00:17:11,520 --> 00:17:14,560
Speaker 1: asking all these questions like, well, how do we regulate this?

311
00:17:14,680 --> 00:17:16,879
Speaker 1: What do you suggest for regulatory protocol? How are we

312
00:17:16,920 --> 00:17:19,920
Speaker 1: going to enforce any kind of new legal definitions for

313
00:17:20,040 --> 00:17:25,320
Speaker 1: what these nanobiological systems should be? And I said, you know, frankly,

314
00:17:25,359 --> 00:17:27,960
Speaker 1: it's not going to matter. The United States is no

315
00:17:28,000 --> 00:17:31,720
Speaker 1: longer in a position to inflict its regulatory will upon

316
00:17:31,800 --> 00:17:33,480
Speaker 1: the rest of the role as it might once have been.

317
00:17:34,080 --> 00:17:35,639
Speaker 1: Very likely China is going to go ahead and do

318
00:17:35,640 --> 00:17:37,800
Speaker 1: whatever they want to do, as I'm sure many other

319
00:17:37,880 --> 00:17:41,800
Speaker 1: nations will as well. So rather than worry about regulatory

320
00:17:41,840 --> 00:17:45,679
Speaker 1: protocols and the limitations thereof, look more towards sort of

321
00:17:45,680 --> 00:17:49,200
Speaker 1: adapting to emotion, more global kind of way of assessing

322
00:17:49,560 --> 00:17:52,959
Speaker 1: these properties. Listen to more Coast to Coast AM every

323
00:17:52,960 --> 00:17:56,159
Speaker 1: weeknight at one am Eastern and go to Coast to

324
00:17:56,200 --> 00:17:57,920
Speaker 1: Coast am dot com for more