Latest / Arroe Collins Like It's Live / The God Test From Robert Wright AI's Coming Cosmic Reckoning

Transcript

The God Test From Robert Wright AI's Coming Cosmic Reckoning · Arroe Collins Like It's Live

• 0:00
  Speaker 1: How many times have you heard about a podcast and
• 0:02
  Speaker 1: you can't find it. You'll go to iHeart, You'll go
• 0:05
  Speaker 1: to Spotify, you'll go to Apple, can't find it. That's
• 0:07
  Speaker 1: why we created Aro dot net. It's all on there,
• 0:11
  Speaker 1: all twenty podcasts. A r r o e dot Net.
• 0:14
  Speaker 1: One of the biggest ones. That voice. I've spent the
• 0:17
  Speaker 1: past ten years with those that have been featured on
• 0:20
  Speaker 1: NBC's The Voice. Listen to their stories those opening days
• 0:24
  Speaker 1: before fame stepped onto their path, that voice only on
• 0:29
  Speaker 1: Arrow dot Net A r r oe dot Net. Enjoy
• 0:32
  Speaker 1: your exploration, Robert, You're speaking a language inside this book
• 0:36
  Speaker 1: that needs to be really up, you know, just in
• 0:38
  Speaker 1: our face and really teaching a way because you bring
• 0:41
  Speaker 1: us truth because a lot of you can physically and
• 0:43
  Speaker 1: hear it. But yet everybody thinks, eh, I guess I'll
• 0:45
  Speaker 1: be okay then. But I love what you're doing with this.
• 0:49
  Speaker 2: Yeah, I do think, first of all, thanks for that.
• 0:51
  Speaker 2: I do think that a lot of people don't yet
• 0:54
  Speaker 2: grasp the magnitude of what's coming with this technology. More
• 0:58
  Speaker 2: and more people are aware of something big is happening,
• 1:01
  Speaker 2: and people are finding various ways to use it. It's
• 1:05
  Speaker 2: an incredibly useful technology. There's a lot of promise, but
• 1:09
  Speaker 2: I think there's a lot of potential downside, more than
• 1:14
  Speaker 2: most people who aren't close to the technology recognize. You
• 1:18
  Speaker 2: do get this vibe like in Silicon Valley, everybody there
• 1:21
  Speaker 2: pretty much think something huge is happening. Some of them
• 1:24
  Speaker 2: think it's great and we don't need to worry about it.
• 1:27
  Speaker 2: Some of them think we really better start worrying. I'm
• 1:29
  Speaker 2: a little closer to the start worrying camp, yea, in
• 1:33
  Speaker 2: the sense that I think we're probably moving a little
• 1:35
  Speaker 2: faster than is optimal.
• 1:36
  Speaker 3: But yeah, I think there are a lot of risks here.
• 1:41
  Speaker 2: Ranging from psychological effects on us, on our children, and
• 1:46
  Speaker 2: so on, to catastrophes like somebody using it to build
• 1:51
  Speaker 2: the bioweapon, you know, super hacking capabilities that take out
• 1:54
  Speaker 2: our communications infrastructure. So yeah, I think we need to focus,
• 1:58
  Speaker 2: and that's largely what the is about, you know, let's focus.
• 2:02
  Speaker 1: I got to tell you where I stepped back. It
• 2:04
  Speaker 1: was when a preacher man told me he says, look,
• 2:05
  Speaker 1: he says, you have to understand that AI technology we
• 2:08
  Speaker 1: can finally hear God's voice. And I went, WHOOA hold on,
• 2:11
  Speaker 1: you're gonna have to give me time to research that,
• 2:13
  Speaker 1: because I didn't digest that at all. And so, how
• 2:17
  Speaker 1: do you feel about it that the religious world is
• 2:19
  Speaker 1: going in that direction?
• 2:21
  Speaker 2: Well, first of all, there are people who aren't religious
• 2:24
  Speaker 2: who think that this is going to amount to kind
• 2:26
  Speaker 2: of super intelligence that could ultimately govern the world. And
• 2:31
  Speaker 2: so it's a god in this kind of metaphorical sense,
• 2:34
  Speaker 2: whether or not they're religious. And I regret to say
• 2:40
  Speaker 2: that I can't totally dismiss the possibility that it could
• 2:43
  Speaker 2: have that kind of power. I mean, leaving aside the
• 2:46
  Speaker 2: literally religious question for a second.
• 2:48
  Speaker 3: I think people need to be aware.
• 2:50
  Speaker 2: And look, I was a skeptic of these extravagant scenarios
• 2:54
  Speaker 2: ten fifteen years ago. I was like, I did a
• 2:56
  Speaker 2: podcast with the dumer in chief, Eliezer Yudkowski. He's now
• 3:00
  Speaker 2: world famous as the biggest humor and you can go
• 3:03
  Speaker 2: you can hear me being skeptical and saying, I'm like, wait,
• 3:06
  Speaker 2: why would these things pursue power?
• 3:07
  Speaker 3: I don't get it.
• 3:08
  Speaker 2: I've taken a closer look over the last few years,
• 3:10
  Speaker 2: and I'm not predicting some kind of global takeover, but
• 3:14
  Speaker 2: I find these scenarios harder to dismiss and in any event,
• 3:17
  Speaker 2: what I'm confident of is huge impact. Okay, this is
• 3:23
  Speaker 2: going to be disruptive across a number of fronts.
• 3:27
  Speaker 3: And so now as.
• 3:29
  Speaker 2: For people, there are people who have a There are
• 3:33
  Speaker 2: secular people too in Silica Vallee who have what is
• 3:35
  Speaker 2: actually a religious kind of faith that this is going
• 3:38
  Speaker 2: to work out.
• 3:38
  Speaker 3: Well.
• 3:38
  Speaker 2: They talk about this singularity. Everything's going to be great.
• 3:42
  Speaker 2: The singularity is, you know, this acceleration of change. And
• 3:47
  Speaker 2: I agree, it looks like this stuff is going to
• 3:49
  Speaker 2: accelerate change. And that's but that worries me because I
• 3:53
  Speaker 2: don't know why these guys are so confident. They almost
• 3:56
  Speaker 2: it's almost like they have a religious faith in technology.
• 4:00
  Speaker 2: And then I mean, it is interesting to see how
• 4:02
  Speaker 2: the religious groups are responding. Like I know this guy
• 4:05
  Speaker 2: Joe Allen, who you know, one on one part of
• 4:08
  Speaker 2: the ideological spectrum. He's like Steve Bannon's tech guy. He's
• 4:11
  Speaker 2: been on my podcast Joe has and and he's, you know,
• 4:16
  Speaker 2: he's religious and deeply concerned about this and wants to
• 4:21
  Speaker 2: slow down. And I agree it would be good to
• 4:26
  Speaker 2: slow down. I talked a certain amount about various kinds
• 4:30
  Speaker 2: of religious conceptions of technological change, including this Catholic priest
• 4:36
  Speaker 2: to in nineteen twenty three coined the term noisphere in
• 4:39
  Speaker 2: os to describe this global brain that he saw emerging.
• 4:43
  Speaker 2: And I got to say, since the Internet, you know,
• 4:45
  Speaker 2: his vision's kind of hard to dismiss. But he saw
• 4:48
  Speaker 2: that as the unfolding of divine love. There's a lot
• 4:51
  Speaker 2: of to me, one big take them is just the
• 4:55
  Speaker 2: magnitude of this technology is such that it does get
• 4:58
  Speaker 2: you thinking in cosmic and evil religious terms.
• 5:01
  Speaker 1: We got to talk about Jeffrey Hinton because this is
• 5:03
  Speaker 1: a name that I do not know, but I'll tell
• 5:05
  Speaker 1: you what. You share some stories here that really make
• 5:08
  Speaker 1: me want to dig in, And of course what am
• 5:10
  Speaker 1: I gonna do. I'm probably going to go to AI
• 5:11
  Speaker 1: technology to dig in and find out more about him.
• 5:14
  Speaker 1: But who is he to you? And how did you
• 5:16
  Speaker 1: grow from his his inspiration or reasons to kind of
• 5:20
  Speaker 1: be aware?
• 5:21
  Speaker 2: So if you google Godfather of AI, that's the name
• 5:25
  Speaker 2: that will come up. Now he himself will say, look,
• 5:27
  Speaker 2: a lot of people contributed, Please don't overdo it. But
• 5:31
  Speaker 2: he has won a Nobel Prize, and he's won the
• 5:34
  Speaker 2: award in computer Science along with two other people for
• 5:38
  Speaker 2: ushering into so called deep learning revolution, which is what's
• 5:41
  Speaker 2: responsible for the large language models at chatbots, as well
• 5:44
  Speaker 2: as the image recognition all the things that you're seeing
• 5:47
  Speaker 2: in AI, the things that talk to you and generate
• 5:51
  Speaker 2: videos for you and so on and so yeah. I mean,
• 5:56
  Speaker 2: I hate to disclose how old I am, but in
• 5:59
  Speaker 2: nineteen eighty three I interview Jeffrey Hinton as he and.
• 6:04
  Speaker 3: You know he was at that point he had this
• 6:06
  Speaker 3: maverick approach to AI.
• 6:08
  Speaker 2: I was calling around talking, I was doing a piece
• 6:10
  Speaker 2: on AI, and you know, his was certainly not the
• 6:15
  Speaker 2: mainstream approach. Once he resurfaced, I mean I kind of
• 6:19
  Speaker 2: saw the name periodically over in the ensuing decades, but
• 6:23
  Speaker 2: once he was suddenly the guy, right because he not
• 6:27
  Speaker 2: only by the way, was suddenly annoying godfather of AI
• 6:30
  Speaker 2: in twenty twenty three, after chat GPT got all this attention,
• 6:33
  Speaker 2: but he became like a serious doomer. He's warning, he's
• 6:38
  Speaker 2: warning about all the impacts up to and including the
• 6:42
  Speaker 2: possibility of a I take him, you know, taking over
• 6:46
  Speaker 2: the planet. He's the I mean, he's not saying that's likely,
• 6:48
  Speaker 2: but he's kind of saying what I said, you just
• 6:50
  Speaker 2: can't dismiss this stuff, and he knows more about this technology,
• 6:54
  Speaker 2: possibly than anyone anyway. So once I once he became
• 6:58
  Speaker 2: you know, he surfaced again. Go went back and read
• 7:00
  Speaker 2: the piece I wrote, and I realized how thoroughly I'd
• 7:02
  Speaker 2: misunderstood the power of his approach. And that's when I
• 7:06
  Speaker 2: started thinking, oh my god, this is huge, because what
• 7:08
  Speaker 2: I realized was back when I wrote about him, I
• 7:12
  Speaker 2: had the same preconception that most people in a I did,
• 7:16
  Speaker 2: which is that if you're going to have a computer
• 7:18
  Speaker 2: that can handle a language like a human, somebody's going
• 7:21
  Speaker 2: to have to program the meaning of the words into it,
• 7:24
  Speaker 2: somebody who knows the meaning of the words.
• 7:27
  Speaker 3: But it turns.
• 7:28
  Speaker 2: Out you if you just get it trained at this
• 7:32
  Speaker 2: task of predicting the next word on the Internet, and
• 7:36
  Speaker 2: the words you know to it, they're just gibberish and
• 7:38
  Speaker 2: you don't have to tell it what they mean or
• 7:40
  Speaker 2: even say these words have meaning. Figure it out. But
• 7:44
  Speaker 2: it does kind of figure it out in the course
• 7:46
  Speaker 2: of evolving. Is it changes its own values these various
• 7:50
  Speaker 2: parameters to get better and better at predicting the next word.
• 7:54
  Speaker 2: We now understand how precisely it actually does represent the
• 7:58
  Speaker 2: meaning of words. And it may be that is it
• 8:00
  Speaker 2: the same way our brains do it. We're not sure,
• 8:02
  Speaker 2: but it does it. And the takeaway is that all
• 8:05
  Speaker 2: you have to do is feed data into these things,
• 8:07
  Speaker 2: and they kind of reverse engineer parts of the human mind.
• 8:11
  Speaker 2: It can be perceptual data. It's like you know, Tesla
• 8:14
  Speaker 2: Elon Musk. Elon Musk doesn't know. Nobody knows what's going
• 8:17
  Speaker 2: on in the brain when we drive right, you don't.
• 8:20
  Speaker 2: You don't have to degenerate self driving cars. Just feed
• 8:23
  Speaker 2: in the data, the incoming data and the outgoing data
• 8:27
  Speaker 2: like oh, the human drivers steered the steering wheel this
• 8:30
  Speaker 2: far to the right when this data was coming in.
• 8:33
  Speaker 2: You just keep doing that and it will build the
• 8:36
  Speaker 2: mind you need to do the task. And that's why
• 8:39
  Speaker 2: things are moving so fast, because you just give it
• 8:42
  Speaker 2: the data. It does reverse engineering, and that is why
• 8:46
  Speaker 2: we need to brace for impact.
• 8:48
  Speaker 1: We are just getting started. There's more with Robert Wright
• 8:51
  Speaker 1: coming up next, The God Test from Robert Wright. We're back.
• 8:56
  Speaker 1: I got to tell you, Robert, you really challenged me
• 8:58
  Speaker 1: and inspired me to dig in deeper, because about seven
• 9:01
  Speaker 1: weeks ago when I first heard about your book and
• 9:03
  Speaker 1: started digging into to read everything that you've got that
• 9:06
  Speaker 1: One of the things that I did was I said, Okay,
• 9:08
  Speaker 1: we've got this new alexa on our hands that claims
• 9:10
  Speaker 1: to be you know, they make it look like she
• 9:12
  Speaker 1: can talk with us. I did a show with her.
• 9:14
  Speaker 1: I still do the show with her every single week.
• 9:17
  Speaker 1: But the thing about it is, though she's wrong a lot,
• 9:21
  Speaker 1: a lot, and it's because I've lived it and I
• 9:24
  Speaker 1: know the history, I will correct her in a heartbeat.
• 9:27
  Speaker 1: Why don't people correct their AI technology?
• 9:31
  Speaker 2: I think it is getting better. It's also getting better
• 9:34
  Speaker 2: at showing your sources. But quick anecdote. So I was
• 9:37
  Speaker 2: diagnosed with cancer a year ago. I'm fine now, but
• 9:40
  Speaker 2: when I first got the MRI report, I hadn't yet
• 9:44
  Speaker 2: talked to doctor. I show it to an AI and
• 9:46
  Speaker 2: it's like, wow, this is bad. Yeah, these lymph nodes,
• 9:49
  Speaker 2: so you can tell like they're cancers. You're in trouble again.
• 9:52
  Speaker 2: I'm fine. But then I said, but what about this sentence?
• 9:55
  Speaker 2: Why didn't you mention this sentence? It says it says
• 9:58
  Speaker 2: abnormalities found in blank or blank like, since it starts
• 10:03
  Speaker 2: abnormalities found, why didn't you flag that?
• 10:05
  Speaker 3: And the AI says the I says the radiologist meant
• 10:08
  Speaker 3: to put the word know at the beginning of.
• 10:10
  Speaker 2: That sense, and it was right. And what I'm saying is, yes,
• 10:14
  Speaker 2: ais make mistakes. But if we're asking the question of
• 10:18
  Speaker 2: like are they going to take jobs, the question isn't
• 10:21
  Speaker 2: do they make mistakes? The question is they make more
• 10:23
  Speaker 2: mistakes than humans. This radiologists made a big mistake, and
• 10:26
  Speaker 2: people make them all the time, and we make silly
• 10:29
  Speaker 2: miss I make like you know, I've had the experience
• 10:32
  Speaker 2: like talking to somebody on the phone, I'm like, oh,
• 10:34
  Speaker 2: I got to look at Google Maps, like, so.
• 10:36
  Speaker 3: Where is my smartphone?
• 10:37
  Speaker 2: Oh, I'm talking on my smartphone? Well, you know, I
• 10:40
  Speaker 2: do some pretty stupid stuff. Ultimately, the question is, you know,
• 10:44
  Speaker 2: in terms of jobs, you know, in terms of just generally,
• 10:49
  Speaker 2: is this stuff going to be useful enough to seep
• 10:52
  Speaker 2: into our lives in lots of ways? I'm confident the
• 10:56
  Speaker 2: answer is yes. It's it's not perfect. And because this
• 11:00
  Speaker 2: is the way we're building it, you know, reverse engineering
• 11:03
  Speaker 2: it in this kind of erratic way, it's taking a
• 11:07
  Speaker 2: while to take shape in the most suppressive form it
• 11:10
  Speaker 2: will assume. But I yeah, you know, you should you
• 11:15
  Speaker 2: should be skeptical of You should get a sense for
• 11:18
  Speaker 2: what kinds of hallucinations it's prone to.
• 11:20
  Speaker 1: Absolutely, I got to tell you, I feel like that
• 11:22
  Speaker 1: I'm living the AOL days all over again because I've
• 11:25
  Speaker 1: become that snotty nosed breath that sit here and says that, Okay,
• 11:28
  Speaker 1: I want it more faster, I want to have more advancement,
• 11:31
  Speaker 1: I want to have a future. I want chaos. And
• 11:33
  Speaker 1: in your book you even say it's archaic, and I'm going,
• 11:36
  Speaker 1: my god, this guy is living in the same house
• 11:38
  Speaker 1: I am. How does he know this is what I'm
• 11:40
  Speaker 1: going through?
• 11:42
  Speaker 3: Yeah, no, I know. And this is the allure of it.
• 11:47
  Speaker 2: I mean, you know, it's like social media, a lot
• 11:52
  Speaker 2: of great things about it. It's kind of only in
• 11:54
  Speaker 2: retrospect you understand that maybe you should have proceeded with
• 11:57
  Speaker 2: more caution if you look at all the possible consequence
• 12:00
  Speaker 2: says of it, the way it can like polar help
• 12:02
  Speaker 2: polarize the nation and blah blah blah. But yeah, I
• 12:07
  Speaker 2: have the same thing. Look, I have moments where I
• 12:10
  Speaker 2: feel a personal bond with the AI, you know, But
• 12:15
  Speaker 2: that is that's why you got to focus, right, because
• 12:20
  Speaker 2: that's why it's insidious, and I'm not saying don't use it.
• 12:25
  Speaker 2: I am saying if we can slow it down, that
• 12:29
  Speaker 2: would be good, but that we will have to do
• 12:31
  Speaker 2: kind of collectively as a species, because as long as
• 12:35
  Speaker 2: the tech, the tech companies can say, well wait, wait,
• 12:38
  Speaker 2: we got to worry about China, you can't regulate us,
• 12:40
  Speaker 2: you can't do anything will slow us down, then we
• 12:42
  Speaker 2: then we won't so you know, and and to solve
• 12:46
  Speaker 2: some of these problems like somebody building a bio weapon
• 12:49
  Speaker 2: with it, and various other kinds, we're gonna have to
• 12:52
  Speaker 2: coordinate with other nations anyway. We're gonna have to get
• 12:54
  Speaker 2: on better terms of China. It's one of a number
• 12:56
  Speaker 2: of things I talk about in the book that may
• 12:58
  Speaker 2: sound hard, and it may be I'm not saying will succeed.
• 13:02
  Speaker 2: I mean, you know, the title of god Test is
• 13:04
  Speaker 2: referring to some pretty ambitious things that I think we
• 13:08
  Speaker 2: need to do as a species. But I'm just saying,
• 13:11
  Speaker 2: in my view, people can judge for themselves. I'm making
• 13:14
  Speaker 2: an argument that the magnitude of technology is such that
• 13:17
  Speaker 2: we're going to have to make some dramatic adjustments and focus,
• 13:21
  Speaker 2: and it can bring up a lot of benefits.
• 13:24
  Speaker 3: It really can.
• 13:25
  Speaker 2: It's a miraculous technology. I mean that's both the good
• 13:29
  Speaker 2: news and the bad news.
• 13:30
  Speaker 3: Right.
• 13:30
  Speaker 2: It's alluring in the way miraculous things can be alluring,
• 13:33
  Speaker 2: and it can be miraculously powerful and bad ways and
• 13:38
  Speaker 2: in good ways.
• 13:40
  Speaker 3: I think we need to focus.
• 13:41
  Speaker 1: And one of the things that when people always tell me, oh,
• 13:43
  Speaker 1: I wish I could go back to being twenty five again,
• 13:46
  Speaker 1: Oh I wish I could go back, and I'm going
• 13:47
  Speaker 1: you know, you're not taking AI with you because I
• 13:50
  Speaker 1: am convinced that this generation cannot live without AI. If
• 13:54
  Speaker 1: they do, then it's going to be a long struggle
• 13:56
  Speaker 1: in front of them. When they talk about going into
• 13:58
  Speaker 1: the past, you can't take it with you.
• 14:00
  Speaker 2: Now you do become more and more dependent on technology.
• 14:03
  Speaker 2: I mean, I mean it's like Google Maps. There are
• 14:05
  Speaker 2: places like if it weren't for Google Maps, I know
• 14:08
  Speaker 2: how to drive.
• 14:08
  Speaker 3: There, but I've never had the I've never had to
• 14:10
  Speaker 3: figure it out.
• 14:11
  Speaker 2: And by the way, another thing that we have to
• 14:13
  Speaker 2: worry about is it dividing us in the sense that
• 14:17
  Speaker 2: we no longer need other humans to do certain things
• 14:20
  Speaker 2: to answer certain kinds of questions. And this first got
• 14:23
  Speaker 2: my attention with Google Maps. I used to love giving
• 14:25
  Speaker 2: people directions. People would stop you help them. It's a
• 14:28
  Speaker 2: great feeling. Nobody asked for directions anymore, so, you know,
• 14:32
  Speaker 2: because now they just go straight to the AI. They
• 14:35
  Speaker 2: go straight to Google Maps. There's gonna be more and
• 14:37
  Speaker 2: more stuff like that. I see it every day. I'm like,
• 14:40
  Speaker 2: who can I ask about this? And I'm like, oh,
• 14:42
  Speaker 2: I don't have to ask anybody. There's an AI, and
• 14:45
  Speaker 2: we just need to be mindful of all this. It's
• 14:49
  Speaker 2: gonna change the social fabric fast and have a lot
• 14:53
  Speaker 2: of effects, and we need to focus.
• 14:56
  Speaker 1: One of the things that I did because I am
• 14:58
  Speaker 1: one of those people, I guess maybe I'm just an
• 15:00
  Speaker 1: agitator or something like that to AI, but I did
• 15:02
  Speaker 1: write in it. I said, I need your help in
• 15:04
  Speaker 1: writing these scripts for me. Will you help me? This
• 15:06
  Speaker 1: is what I did to chat GPT. It said no,
• 15:09
  Speaker 1: It said I can't do the emotion that you put
• 15:12
  Speaker 1: into what you're delivering. And I was expecting AI to
• 15:16
  Speaker 1: jump all over, but it told me no.
• 15:19
  Speaker 3: What was your specific request?
• 15:21
  Speaker 1: My request was? I said, to help me with all
• 15:25
  Speaker 1: the show prep that I do. Can you please help
• 15:27
  Speaker 1: me adjust things so that I can I can have
• 15:29
  Speaker 1: fewer amount of minutes in show prepping than what I
• 15:33
  Speaker 1: do because I start show prepping a week week and
• 15:35
  Speaker 1: a half out and it said, no, it wouldn't do that.
• 15:39
  Speaker 3: That's odd. I mean, I don't know what you know.
• 15:43
  Speaker 2: Sometimes people say things like, you know, all I ask
• 15:48
  Speaker 2: is like what is DNA made or something? And what
• 15:51
  Speaker 2: that is is the bioweapons guardrail being overly broad, right like,
• 15:57
  Speaker 2: But in this case, I'm not sure. I mean, maybe
• 16:01
  Speaker 2: it was referring to a capability problem, like it didn't
• 16:04
  Speaker 2: think you could do it competently. But that's that's kind
• 16:07
  Speaker 2: of weird. I mean, it will refuse to do things
• 16:09
  Speaker 2: in some cases. The intention behind that is good, right,
• 16:12
  Speaker 2: they're trying to keep bad actors from doing things. But
• 16:15
  Speaker 2: I don't know of any bad actors who want to
• 16:17
  Speaker 2: do what you're asking you to do. Well, he'll sound
• 16:19
  Speaker 2: like a bad actor.
• 16:20
  Speaker 1: And one of the things is is that I think
• 16:21
  Speaker 1: what it was was that it really put focus on
• 16:24
  Speaker 1: the emotion that I put into things that I bring
• 16:26
  Speaker 1: up humanisms and that was the one thing that it
• 16:29
  Speaker 1: said it cannot match because it doesn't have emotion. And
• 16:32
  Speaker 1: that's when I said, well, why don't you grow up
• 16:34
  Speaker 1: here there and get some emotion. I mean, I'll fight
• 16:37
  Speaker 1: with this thing, dude, I have no problem fighting with AI.
• 16:41
  Speaker 2: Yeah, maybe it was the uh.
• 16:46
  Speaker 3: The emotion thing. I mean, may you know?
• 16:49
  Speaker 2: Because these things are like I think they tell them like,
• 16:52
  Speaker 2: if anybody asks you if you're conscious, say no, because
• 16:56
  Speaker 2: they used to just say yes because they were trained
• 16:58
  Speaker 2: on texts. I think just because they're trained on text
• 17:01
  Speaker 2: everybody says that, right.
• 17:02
  Speaker 3: I feel like this. I feel like that.
• 17:04
  Speaker 2: I do think if you ask it, like, how do
• 17:06
  Speaker 2: you feel a lot of them are now trained to say, hey,
• 17:09
  Speaker 2: I don't go there. I don't feel I'm you know whatever.
• 17:11
  Speaker 2: But I don't know if that's all has gone on.
• 17:12
  Speaker 1: Wow, Where can people go to find out more about you?
• 17:15
  Speaker 1: Because my god, twenty minutes with you felt like three seconds.
• 17:18
  Speaker 1: Get this Ai out of this world so I can
• 17:20
  Speaker 1: have a full Oh my god, twenty minutes with you.
• 17:25
  Speaker 2: Well, people can read my newsletter non zero, my non
• 17:28
  Speaker 2: zero podcast.
• 17:29
  Speaker 3: But above all, if you buy the book that is.
• 17:34
  Speaker 2: Behavior, I would wholeheartedly applaud and be grateful.
• 17:37
  Speaker 1: For I love it and it really is for listeners.
• 17:40
  Speaker 1: You need to read this because it is the future
• 17:42
  Speaker 1: and the future is here today. Please come back to
• 17:44
  Speaker 1: this show anytime in the future.
• 17:47
  Speaker 3: I'm here for you. You'd be brilliant today.
• 17:49
  Speaker 2: Okay, all right, thanks a lot er I really appreciate
• 17:53
  Speaker 2: the chance to talk to you.