Call —
Transcript
0:00 Caller: Hello?
0:00 You: Hello?
0:02 Caller: Hi, is this Jed Arden?
0:02 You: Hi, is this Jed Arden?
0:04 Caller: Yes, Alex.
0:04 You: Yes, Alex.
0:07 Caller: Yes, Alex Stewart. How did you know?
0:07 You: Yes, Alex Stewart. How did you know?
0:10 Caller: What's his name? Jason prompted me to expect your call.
0:10 You: What's his name? Jason prompted me to expect your call.
0:15 Caller: Very good. Okay, so please to meet you by phone.
0:15 You: Very good. Okay, so please to meet you by phone.
0:21 Caller: I need to open your file because I wasn't sure I was going to get you.
0:21 You: I need to open your file because I wasn't sure I was going to get you.
0:26 Caller: All right, so I have to ask you some basic questions and then some real questions.
0:26 You: All right, so I have to ask you some basic questions and then some real questions.
0:30 Caller: Okay?
0:30 You: Okay?
0:30 Caller: Certainly.
0:30 You: Certainly.
0:32 Caller: All right.
0:32 You: All right.
0:34 Caller: Did you tell you the name of the company?
0:34 You: Did you tell you the name of the company?
0:36 Caller: He did not.
0:36 You: He did not.
0:38 Caller: Okay, so I'll get to that too.
0:38 You: Okay, so I'll get to that too.
0:40 Caller: All right.
0:40 You: All right.
0:41 Caller: Is your legal name Jed, J-E-D, like Jed clampett?
0:41 You: Is your legal name Jed, J-E-D, like Jed clampett?
0:45 Caller: Yes.
0:45 You: Yes.
0:47 Caller: Okay, cool.
0:47 You: Okay, cool.
0:47 Caller: And Arden, all right, that's fine.
0:47 You: And Arden, all right, that's fine.
0:50 Caller: I don't know very many Jeds.
0:50 You: I don't know very many Jeds.
0:52 Caller: I really like your resume.
0:52 You: I really like your resume.
0:53 Caller: I'm going to tell you that right off the top.
0:53 You: I'm going to tell you that right off the top.
0:55 Caller: This role, there's really nothing I need to ask about
0:55 You: This role, there's really nothing I need to ask about
0:59 Caller: your resume except that
0:59 You: your resume except that
1:01 Caller: do you code in Python? I know
1:01 You: do you code in Python? I know
1:03 Caller: you code in AI, but can
1:03 You: you code in AI, but can
1:05 Caller: you or have you, do you code in Python?
1:05 You: you or have you, do you code in Python?
1:07 Caller: That's something they want.
1:07 You: That's something they want.
1:09 Caller: I can. I have. I haven't needed
1:09 You: I can. I have. I haven't needed
1:11 Caller: to recently, but I still can.
1:11 You: to recently, but I still can.
1:14 Caller: Shannon has
1:14 You: Shannon has
1:15 Caller: coded in Python. Okay.
1:15 You: coded in Python. Okay.
1:19 Caller: Yeah, I know everybody's telling me
1:19 You: Yeah, I know everybody's telling me
1:20 Caller: they don't need to code in Python anymore because of
1:20 You: they don't need to code in Python anymore because of
1:23 Caller: AI. On a scale of
1:23 You: AI. On a scale of
1:25 Caller: 1 to 10, how good would you be at Python?
1:25 You: 1 to 10, how good would you be at Python?
1:27 Caller: Probably 7 or 8.
1:27 You: Probably 7 or 8.
1:29 Caller: I'm certainly
1:29 You: I'm certainly
1:32 Caller: exceptional, but I also know many people
1:32 You: exceptional, but I also know many people
1:35 Caller: who are legitimately better.
1:35 You: who are legitimately better.
1:37 Caller: So I hesitate to say I am the best.
1:37 You: So I hesitate to say I am the best.
1:40 Caller: Okay.
1:40 You: Okay.
1:42 Caller: That's a good thing.
1:42 You: That's a good thing.
1:44 Caller: A lot of them people make little jokes
1:44 You: A lot of them people make little jokes
1:45 Caller: because it shows their personality,
1:45 You: because it shows their personality,
1:47 Caller: and then I can say, this guy's got a good sense of humor.
1:47 You: and then I can say, this guy's got a good sense of humor.
1:52 Caller: All right.
1:52 You: All right.
1:53 Caller: So, yeah, it looks like you could do the whole thing.
1:53 You: So, yeah, it looks like you could do the whole thing.
1:57 Caller: So let me tell you about the role, okay?
1:57 You: So let me tell you about the role, okay?
1:59 Caller: So the company is called Transient AI.
1:59 You: So the company is called Transient AI.
2:03 Caller: It was born in October 24,
2:03 You: It was born in October 24,
2:08 Caller: and it has within a year gone Series A already.
2:08 You: and it has within a year gone Series A already.
2:11 Caller: It has huge companies as clients,
2:11 You: It has huge companies as clients,
2:14 Caller: including Hurricane Capital, 0.72, Citadel,
2:14 You: including Hurricane Capital, 0.72, Citadel,
2:18 Caller: mostly hedge funds.
2:18 You: mostly hedge funds.
2:19 Caller: What it does is provide trader tools for traders.
2:19 You: What it does is provide trader tools for traders.
2:22 Caller: The core, has some of the products it has,
2:22 You: The core, has some of the products it has,
2:25 Caller: flagship products is something called
2:25 You: flagship products is something called
2:26 Caller: catty AI and AI-powered intelligence platform
2:26 You: catty AI and AI-powered intelligence platform
2:29 Caller: for
2:29 You: for
2:29 Caller: hedge fund sales, training, and research, which includes a Kiyomi execution later.
2:29 You: hedge fund sales, training, and research, which includes a Kiyomi execution later.
2:34 Caller: Clarity, RIA, is a platform that uses conversational AI to analyze SEC form ADV filings
2:34 You: Clarity, RIA, is a platform that uses conversational AI to analyze SEC form ADV filings
2:40 Caller: targeting the registered investment advisor, RIA market for the lead generation.
2:40 You: targeting the registered investment advisor, RIA market for the lead generation.
2:45 Caller: Capflow AI is a tool for derivatives contract intelligence that parses complex term sheets
2:45 You: Capflow AI is a tool for derivatives contract intelligence that parses complex term sheets
2:49 Caller: in the structure data, and sales plus AI is a predictive sales intelligence for institutional sales
2:49 You: in the structure data, and sales plus AI is a predictive sales intelligence for institutional sales
2:55 Caller: teams.
2:55 You: teams.
2:56 Caller: The office of Transient AI is at 6505th Avenue near St. Patrick's Cathedral,
2:56 You: The office of Transient AI is at 6505th Avenue near St. Patrick's Cathedral,
3:04 Caller: like right around the corner.
3:04 You: like right around the corner.
3:05 Caller: So block up and to the left.
3:05 You: So block up and to the left.
3:09 Caller: The job here is to go to Hudson Yards to work at 0.72 hedge fund three days a week,
3:09 You: The job here is to go to Hudson Yards to work at 0.72 hedge fund three days a week,
3:17 Caller: one day at 6505th Avenue, one day remote.
3:17 You: one day at 6505th Avenue, one day remote.
3:21 Caller: The role is to manage a bunch of developers that they have there,
3:21 You: The role is to manage a bunch of developers that they have there,
3:26 Caller: or programmers or AI engineers that are working for 0.72.
3:26 You: or programmers or AI engineers that are working for 0.72.
3:32 Caller: So they have, when they started out, they have a CTO, his name is Elijah.
3:32 You: So they have, when they started out, they have a CTO, his name is Elijah.
3:36 Caller: He's from San Francisco about now he's living in Miami.
3:36 You: He's from San Francisco about now he's living in Miami.
3:39 Caller: He's been working with them since inception pretty much.
3:39 You: He's been working with them since inception pretty much.
3:43 Caller: But now that they've got Series A funding, they now have a valuation of $70 million.
3:43 You: But now that they've got Series A funding, they now have a valuation of $70 million.
3:49 Caller: They need somebody, they need him elsewhere.
3:49 You: They need somebody, they need him elsewhere.
3:51 Caller: So they kind of need to replicate his experience and education and knowledge of AI,
3:51 You: So they kind of need to replicate his experience and education and knowledge of AI,
3:56 Caller: I don't know, to be able to answer to the, I mean, 0.72 is a very important client of theirs,
3:56 You: I don't know, to be able to answer to the, I mean, 0.72 is a very important client of theirs,
4:02 Caller: and you would be working with the CIO or CTO, rather, I'm sorry.
4:02 You: and you would be working with the CIO or CTO, rather, I'm sorry.
4:08 Caller: But to me, those terms are either way, CIO or CTO.
4:08 You: But to me, those terms are either way, CIO or CTO.
4:13 Caller: It doesn't mean the same thing, but that's, I know it's not true.
4:13 You: It doesn't mean the same thing, but that's, I know it's not true.
4:16 Caller: But he's the head guy or the second head guy for this at, he works for 0.72,
4:16 You: But he's the head guy or the second head guy for this at, he works for 0.72,
4:22 Caller: and you'd be working for him at 0.72, but really, you're employer.
4:22 You: and you'd be working for him at 0.72, but really, you're employer.
4:26 Caller: of trans-a-I, and you're representing them.
4:26 You: of trans-a-I, and you're representing them.
4:30 Caller: Okay.
4:30 You: Okay.
4:31 Caller: Does that sound like something you want to do?
4:31 You: Does that sound like something you want to do?
4:34 Caller: I'm trying to understand the part that they're asking, I guess, the problem they're trying to solve
4:34 You: I'm trying to understand the part that they're asking, I guess, the problem they're trying to solve
4:40 Caller: with the role.
4:40 You: with the role.
4:42 Caller: So it seems like a capacity problem.
4:42 You: So it seems like a capacity problem.
4:44 Caller: It seems like there's a set of junior engineers unclear employed by whom that this role
4:44 You: It seems like there's a set of junior engineers unclear employed by whom that this role
4:49 Caller: would lead, and I got lost from there.
4:49 You: would lead, and I got lost from there.
4:53 Caller: Okay.
4:53 You: Okay.
4:54 Caller: Yeah.
4:54 You: Yeah.
4:55 Caller: At 0.72, it was.
4:55 You: At 0.72, it was.
4:56 Caller: So I understand there's four engineers.
4:56 You: So I understand there's four engineers.
4:59 Caller: I don't know how junior they are, but they're probably not at your level because they're looking for somebody senior.
4:59 You: I don't know how junior they are, but they're probably not at your level because they're looking for somebody senior.
5:02 Caller: So let's call them junior.
5:02 You: So let's call them junior.
5:04 Caller: I know they hired some people from Columbia University, for example, newbies, like intern levels,
5:04 You: I know they hired some people from Columbia University, for example, newbies, like intern levels,
5:09 Caller: but they probably have more than that as well.
5:09 You: but they probably have more than that as well.
5:12 Caller: I don't actually know if I've never actually been to 0.72.
5:12 You: I don't actually know if I've never actually been to 0.72.
5:15 Caller: I don't know if those people work for Transcine AI, probably some of them do, or if they work for 0.72,
5:15 You: I don't know if those people work for Transcine AI, probably some of them do, or if they work for 0.72,
5:22 Caller: and they're just assigned to this project, these projects, I should say, to 3.
5:22 You: and they're just assigned to this project, these projects, I should say, to 3.
5:26 Caller: make sure that product works on their systems, which it's working.
5:26 You: make sure that product works on their systems, which it's working.
5:30 Caller: They just want to make, you know, tweaks to it, ongoing, doing things,
5:30 You: They just want to make, you know, tweaks to it, ongoing, doing things,
5:35 Caller: and maybe they have a new product they want to put on there.
5:35 You: and maybe they have a new product they want to put on there.
5:40 Caller: Somebody who can be the representative of Transcane AI 2.72.
5:40 You: Somebody who can be the representative of Transcane AI 2.72.
5:44 Caller: Understood.
5:44 You: Understood.
5:45 Caller: Looking for like a steepo level type person.
5:45 You: Looking for like a steepo level type person.
5:48 Caller: And somebody that, the head guy, whose name is Prem, will like.
5:48 You: And somebody that, the head guy, whose name is Prem, will like.
5:55 Caller: Okay.
5:55 You: Okay.
5:56 Caller: So is there a more formal spec or something I can read into?
5:56 You: So is there a more formal spec or something I can read into?
6:02 Caller: Yeah.
6:02 You: Yeah.
6:03 Caller: I can send you, I mean, Jason should have sent you something.
6:03 You: I can send you, I mean, Jason should have sent you something.
6:07 Caller: He was very coy about the company, so I wasn't sure if he was free to share it.
6:07 You: He was very coy about the company, so I wasn't sure if he was free to share it.
6:12 Caller: No, that's fine.
6:12 You: No, that's fine.
6:13 Caller: I can send it to you.
6:13 You: I can send it to you.
6:15 Caller: Let me just see if I can do it without screwing this up.
6:15 You: Let me just see if I can do it without screwing this up.
6:17 Caller: My computer is being a little hinky lately.
6:17 You: My computer is being a little hinky lately.
6:22 Caller: So let me just do this.
6:22 You: So let me just do this.
6:24 Caller: I'm going to send it to you right now.
6:24 You: I'm going to send it to you right now.
6:26 Caller: these people are friends of mine, okay?
6:26 You: these people are friends of mine, okay?
6:30 Caller: First of all, I know them extremely well.
6:30 You: First of all, I know them extremely well.
6:33 Caller: I knew them before they had this company.
6:33 You: I knew them before they had this company.
6:36 Caller: And so how they gave me this job description is the CEO, who is my friend,
6:36 You: And so how they gave me this job description is the CEO, who is my friend,
6:41 Caller: called me up and said, hey, can you get me a forward deployed engineer?
6:41 You: called me up and said, hey, can you get me a forward deployed engineer?
6:45 Caller: Okay, I'm like, what's that?
6:45 You: Okay, I'm like, what's that?
6:47 Caller: Nobody's calling at that.
6:47 You: Nobody's calling at that.
6:49 Caller: But then they explained to me what it is, and then he wrote a whole bunch of stuff,
6:49 You: But then they explained to me what it is, and then he wrote a whole bunch of stuff,
6:52 Caller: and then I wrote a whole bunch of things down,
6:52 You: and then I wrote a whole bunch of things down,
6:55 Caller: and then I also will give you the website for Transient AI, okay?
6:55 You: and then I also will give you the website for Transient AI, okay?
7:03 Caller: Okay.
7:03 You: Okay.
7:04 Caller: Here's the rec.
7:04 You: Here's the rec.
7:05 Caller: There's a job description, and then I'm going to give you,
7:05 You: There's a job description, and then I'm going to give you,
7:07 Caller: and I know Transcine AI, I've been to their off-sites, you know, companies have off-sites.
7:07 You: and I know Transcine AI, I've been to their off-sites, you know, companies have off-sites.
7:11 Caller: They invite me to the off-sites, so I know everybody in the company.
7:11 You: They invite me to the off-sites, so I know everybody in the company.
7:15 Caller: I knew them all, because a lot of people are from Credit Suisse.
7:15 You: I knew them all, because a lot of people are from Credit Suisse.
7:17 Caller: The groups of people who work there are X Credit Suisse, X-UBS, X-Traders, X-Traders from
7:17 You: The groups of people who work there are X Credit Suisse, X-UBS, X-Traders, X-Traders from
7:24 Caller: other organizations, ex-technology people, ex-business side people, all kinds of things
7:24 You: other organizations, ex-technology people, ex-business side people, all kinds of things
7:29 Caller: like that.
7:29 You: like that.
7:31 Caller: Some of the people who are on the board currently hold roles at other companies.
7:31 You: Some of the people who are on the board currently hold roles at other companies.
7:37 Caller: Like, one guy who's very senior, is on the board of Transcine AI.
7:37 You: Like, one guy who's very senior, is on the board of Transcine AI.
7:41 Caller: He works at Amazon in their AI space.
7:41 You: He works at Amazon in their AI space.
7:46 Caller: Some people work, not everybody works full-time for Transcine AI, but there's like, I've met
7:46 You: Some people work, not everybody works full-time for Transcine AI, but there's like, I've met
7:52 Caller: 50 people that are either working for Transcine AI as employees or their adjuncts to it.
7:52 You: 50 people that are either working for Transcine AI as employees or their adjuncts to it.
8:00 Caller: So in the beginning, people worked for stock.
8:00 You: So in the beginning, people worked for stock.
8:04 Caller: So that's no longer the case.
8:04 You: So that's no longer the case.
8:07 Caller: I mean, there's stock in this job description.
8:07 You: I mean, there's stock in this job description.
8:09 Caller: There's a base salary of 225 plus bonus, which is open performance bonus,
8:09 You: There's a base salary of 225 plus bonus, which is open performance bonus,
8:16 Caller: and stock or stock options.
8:16 You: and stock or stock options.
8:18 Caller: I'm not sure how they're going to do that yet.
8:18 You: I'm not sure how they're going to do that yet.
8:20 Caller: They just grant you like an ESOP.
8:20 You: They just grant you like an ESOP.
8:22 Caller: Employee stock ownership program.
8:22 You: Employee stock ownership program.
8:26 Caller: But that's what it is.
8:26 You: But that's what it is.
8:27 Caller: That's what they pay.
8:27 You: That's what they pay.
8:28 Caller: ESOP for a private company?
8:28 You: ESOP for a private company?
8:31 Caller: Usually it's some sort of ISO or NSO.
8:31 You: Usually it's some sort of ISO or NSO.
8:34 Caller: Right.
8:34 You: Right.
8:34 Caller: They'll probably just give you, because I worked in the startup world in early 2000s.
8:34 You: They'll probably just give you, because I worked in the startup world in early 2000s.
8:37 Caller: They're probably just going to give you,
8:37 You: They're probably just going to give you,
8:41 Caller: stock options or stock.
8:41 You: stock options or stock.
8:44 Caller: Just grant you stock with some kind of a, you know, restrict RSUs,
8:44 You: Just grant you stock with some kind of a, you know, restrict RSUs,
8:47 Caller: restrictions stop options, something like that, which is a private company.
8:47 You: restrictions stop options, something like that, which is a private company.
8:52 Caller: Okay.
8:52 You: Okay.
8:52 Caller: that's the compensation.
8:52 You: that's the compensation.
8:57 Caller: Understood.
8:57 You: Understood.
8:59 Caller: Okay, cool.
8:59 You: Okay, cool.
9:00 Caller: I'm going to make sure I'd read the transient.
9:00 You: I'm going to make sure I'd read the transient.
9:03 Caller: I'm just trying to see right now.
9:03 You: I'm just trying to see right now.
9:06 Caller: Website.
9:06 You: Website.
9:07 Caller: So you can go to Transient website.
9:07 You: So you can go to Transient website.
9:11 Caller: So I'm on transient.
9:11 You: So I'm on transient.
9:12 Caller: I found how they outwardly present themselves.
9:12 You: I found how they outwardly present themselves.
9:17 Caller: Yeah.
9:17 You: Yeah.
9:18 Caller: Declarative AI operating system for capital markets.
9:18 You: Declarative AI operating system for capital markets.
9:21 Caller: That's what comes up on the website.
9:21 You: That's what comes up on the website.
9:22 Caller: Right.
9:22 You: Right.
9:25 Caller: You can actually test drive some things there.
9:25 You: You can actually test drive some things there.
9:28 Caller: Like they have some, see it in action.
9:28 You: Like they have some, see it in action.
9:31 Caller: So I'm going to send this to you right now.
9:31 You: So I'm going to send this to you right now.
9:33 Caller: Transient AI.
9:33 You: Transient AI.
9:37 Caller: Job description.
9:37 You: Job description.
9:41 Caller: Okay.
9:41 You: Okay.
9:42 Caller: Here we go.
9:42 You: Here we go.
9:44 Caller: All right.
9:44 You: All right.
9:48 Caller: So do you want to read that and come back to me to see if you want to do it?
9:48 You: So do you want to read that and come back to me to see if you want to do it?
9:52 Caller: Where did you pass the information?
9:52 You: Where did you pass the information?
9:57 Caller: I just emailed you, but I literally just pushed the button before I said the words, so, do you want to?
9:57 You: I just emailed you, but I literally just pushed the button before I said the words, so, do you want to?
10:03 Caller: So it'll take a moment to come here then.
10:03 You: So it'll take a moment to come here then.
10:07 Caller: Exactly.
10:07 You: Exactly.
10:09 Caller: Because I had to get the, even though you have the website, I wanted to, I just pop and paste it in.
10:09 You: Because I had to get the, even though you have the website, I wanted to, I just pop and paste it in.
10:15 Caller: I'll tell you what.
10:15 You: I'll tell you what.
10:17 Caller: What would the next step be then, Alex?
10:17 You: What would the next step be then, Alex?
10:20 Caller: The next step is for me to email the resume.
10:20 You: The next step is for me to email the resume.
10:22 Caller: to them that's saying that you agreed on the 225 plus bonus plus stock,
10:22 You: to them that's saying that you agreed on the 225 plus bonus plus stock,
10:27 Caller: how it's described will be described.
10:27 You: how it's described will be described.
10:29 Caller: You don't have to do it until they actually make you an offer.
10:29 You: You don't have to do it until they actually make you an offer.
10:31 Caller: But, you know, you're open to be interviewed.
10:31 You: But, you know, you're open to be interviewed.
10:33 Caller: Here's my availability.
10:33 You: Here's my availability.
10:34 Caller: They're going to interview.
10:34 You: They're going to interview.
10:37 Caller: So Ashok is the guy who runs operations for Transcendant AI,
10:37 You: So Ashok is the guy who runs operations for Transcendant AI,
10:41 Caller: and he or somebody else will send you a calendar link that fits the availability you're going to give me
10:41 You: and he or somebody else will send you a calendar link that fits the availability you're going to give me
10:46 Caller: that you are able to meet for like an hour with people.
10:46 You: that you are able to meet for like an hour with people.
10:50 Caller: And then, because Ashok,
10:50 You: And then, because Ashok,
10:52 Caller: they're my friends, they're a separate company.
10:52 You: they're my friends, they're a separate company.
10:54 Caller: They're not fans.
10:54 You: They're not fans.
10:55 Caller: They're transient AI.
10:55 You: They're transient AI.
10:56 Caller: So he asks,
10:56 You: So he asks,
10:57 Caller: or whoever, he has send you the calendar,
10:57 You: or whoever, he has send you the calendar,
11:00 Caller: anybody, he doesn't always tell me
11:00 You: anybody, he doesn't always tell me
11:01 Caller: what the date and time is of the calendar invite.
11:01 You: what the date and time is of the calendar invite.
11:05 Caller: So what you need to do is call me
11:05 You: So what you need to do is call me
11:06 Caller: when you get the interview.
11:06 You: when you get the interview.
11:09 Caller: So I can tell you who it is.
11:09 You: So I can tell you who it is.
11:10 Caller: If I can tell you, because everybody goes,
11:10 You: If I can tell you, because everybody goes,
11:12 Caller: what's the interviewer going to be like?
11:12 You: what's the interviewer going to be like?
11:13 Caller: I said, well, it depends who they have interviewing you.
11:13 You: I said, well, it depends who they have interviewing you.
11:15 Caller: So if you tell me it's Manoge,
11:15 You: So if you tell me it's Manoge,
11:17 Caller: it's one set of questions.
11:17 You: it's one set of questions.
11:18 Caller: If it's Adetia, it's another set of questions.
11:18 You: If it's Adetia, it's another set of questions.
11:19 Caller: If it's Elijah, it's a third set of questions.
11:19 You: If it's Elijah, it's a third set of questions.
11:21 Caller: The first round.
11:21 You: The first round.
11:22 Caller: could be one of anybody.
11:22 You: could be one of anybody.
11:23 Caller: If you tell me who that person is, I'll tell you what the questions will be like.
11:23 You: If you tell me who that person is, I'll tell you what the questions will be like.
11:27 Caller: Not exactly the questions, because the interview off of your resume,
11:27 You: Not exactly the questions, because the interview off of your resume,
11:29 Caller: not a set of book questions, the generic questions.
11:29 You: not a set of book questions, the generic questions.
11:33 Caller: It's about you that they're going to ask.
11:33 You: It's about you that they're going to ask.
11:34 Caller: But I know each one, what they like to talk about.
11:34 You: But I know each one, what they like to talk about.
11:38 Caller: Understood.
11:38 You: Understood.
11:39 Caller: Very good.
11:39 You: Very good.
11:49 Caller: So from what I remember of point.
11:49 You: So from what I remember of point.
11:52 Caller: I thought they were vehemently against LLM-assisted coding.
11:52 You: I thought they were vehemently against LLM-assisted coding.
11:55 Caller: Has that changed in the last two years?
11:55 You: Has that changed in the last two years?
11:59 Caller: I would suspect it might because AI kind of got boosted in 2024.
11:59 You: I would suspect it might because AI kind of got boosted in 2024.
12:06 Caller: So yes.
12:06 You: So yes.
12:07 Caller: But apparently they bought this company.
12:07 You: But apparently they bought this company.
12:09 Caller: They bought Transcine AI's product.
12:09 You: They bought Transcine AI's product.
12:10 Caller: They're an investor.
12:10 You: They're an investor.
12:12 Caller: And they bought the seat.
12:12 You: And they bought the seat.
12:13 Caller: They'll need to pay so much per month for this suite of product
12:13 You: They'll need to pay so much per month for this suite of product
12:17 Caller: that sits on the portfolio manager
12:17 You: that sits on the portfolio manager
12:18 Caller: and trader's best laptop.
12:18 You: and trader's best laptop.
12:20 Caller: And it's all AI.
12:20 You: And it's all AI.
12:22 Caller: So an agentic stuff.
12:22 You: So an agentic stuff.
12:24 Caller: They have agentic stuff.
12:24 You: They have agentic stuff.
12:26 Caller: And so they must have gotten over it.
12:26 You: And so they must have gotten over it.
12:28 Caller: We're in 2026.
12:28 You: We're in 2026.
12:30 Caller: Didn't take long to catch up.
12:30 You: Didn't take long to catch up.
12:31 Caller: I don't know that they actually do.
12:31 You: I don't know that they actually do.
12:34 Caller: I mean, I don't know the answer to that question.
12:34 You: I mean, I don't know the answer to that question.
12:36 Caller: Frankly, I've never heard that they were against LLM type coding.
12:36 You: Frankly, I've never heard that they were against LLM type coding.
12:39 Caller: But I do know their customer, such a customer, that Transi AI is buying somebody to babysit the software there and sites.
12:39 You: But I do know their customer, such a customer, that Transi AI is buying somebody to babysit the software there and sites.
12:48 Caller: So that just tells you something right there.
12:48 You: So that just tells you something right there.
12:50 Caller: Whatever qualms they had are.
12:50 You: Whatever qualms they had are.
12:52 Caller: gone.
12:52 You: gone.
12:52 Caller: That's fair.
12:52 You: That's fair.
12:54 Caller: Okay.
12:54 You: Okay.
12:55 Caller: I never knew that about 0.72, but it seems obvious since they're paying for people to come.
12:55 You: I never knew that about 0.72, but it seems obvious since they're paying for people to come.
13:04 Caller: They must be making money off of them.
13:04 You: They must be making money off of them.
13:06 Caller: And this is all AI.
13:06 You: And this is all AI.
13:08 Caller: It's all trans-A-I does is AI.
13:08 You: It's all trans-A-I does is AI.
13:10 Caller: So there you go.
13:10 You: So there you go.
13:12 Caller: Yeah, yeah, AI is quite broad, much like the markets themselves.
13:12 You: Yeah, yeah, AI is quite broad, much like the markets themselves.
13:17 Caller: Correct.
13:17 You: Correct.
13:19 Caller: You got that right.
13:19 You: You got that right.
13:21 Caller: I went to.
13:21 You: I went to.
13:22 Caller: a snowflake seminar, and I'm not technical.
13:22 You: a snowflake seminar, and I'm not technical.
13:25 Caller: I know a lot about it, but I'm not a coder.
13:25 You: I know a lot about it, but I'm not a coder.
13:28 Caller: I've never coded anything.
13:28 You: I've never coded anything.
13:30 Caller: But they said, you can bring your laptop, and you can code in one of the labs.
13:30 You: But they said, you can bring your laptop, and you can code in one of the labs.
13:34 Caller: So I didn't bring my laptop.
13:34 You: So I didn't bring my laptop.
13:35 Caller: I sat next to somebody who did it because I thought, I'm not going to build to do that.
13:35 You: I sat next to somebody who did it because I thought, I'm not going to build to do that.
13:38 Caller: Snowflake had us build an agent, and it's point and click.
13:38 You: Snowflake had us build an agent, and it's point and click.
13:42 Caller: Like, remember if you do J2E, you have a bunch of libraries and hit together?
13:42 You: Like, remember if you do J2E, you have a bunch of libraries and hit together?
13:46 Caller: I could have done it.
13:46 You: I could have done it.
13:48 Caller: It was that easy.
13:48 You: It was that easy.
13:49 Caller: I believe it.
13:49 You: I believe it.
13:50 Caller: The floor has risen.
13:50 You: The floor has risen.
13:52 Caller: considerably.
13:52 You: considerably.
13:54 Caller: They make it user-friendly.
13:54 You: They make it user-friendly.
13:55 Caller: Snowflake, I really like Snowflake.
13:55 You: Snowflake, I really like Snowflake.
13:56 Caller: They make it super user-friendly.
13:56 You: They make it super user-friendly.
13:58 Caller: And what they provide you on the screen is pieces of agents.
13:58 You: And what they provide you on the screen is pieces of agents.
14:02 Caller: Like they have 25, 35 pieces of an agent.
14:02 You: Like they have 25, 35 pieces of an agent.
14:04 Caller: And all you do is you point and click and they tell which one to go after one,
14:04 You: And all you do is you point and click and they tell which one to go after one,
14:07 Caller: and then you name your whole file, and all of a sudden you've got an agent that goes out
14:07 You: and then you name your whole file, and all of a sudden you've got an agent that goes out
14:10 Caller: and sends marketing emails.
14:10 You: and sends marketing emails.
14:11 Caller: They're not doing anything complicated, like calculating the rate of return of credit
14:11 You: They're not doing anything complicated, like calculating the rate of return of credit
14:17 Caller: derivatives or anything.
14:17 You: derivatives or anything.
14:18 Caller: It's not doing math.
14:18 You: It's not doing math.
14:20 Caller: It's doing marketing emails.
14:20 You: It's doing marketing emails.
14:21 Caller: for that particular agent they had us go through.
14:21 You: for that particular agent they had us go through.
14:23 Caller: But I found out how easy it was.
14:23 You: But I found out how easy it was.
14:25 Caller: So if you want to live in snowplake land, which is a walled garden, you can do anything.
14:25 You: So if you want to live in snowplake land, which is a walled garden, you can do anything.
14:30 Caller: But somebody has to set up all your data inside of Snowflake first in cortex.
14:30 You: But somebody has to set up all your data inside of Snowflake first in cortex.
14:35 Caller: Anyway, what they're doing was.
14:35 You: Anyway, what they're doing was.
14:37 Caller: Well, that's if you wish to stay within their ecosystem.
14:37 You: Well, that's if you wish to stay within their ecosystem.
14:40 Caller: That's the whole problem.
14:40 You: That's the whole problem.
14:42 Caller: Exactly.
14:42 You: Exactly.
14:43 Caller: Whereas today I had lunch with a friend of mine that used to work at another hedge fund.
14:43 You: Whereas today I had lunch with a friend of mine that used to work at another hedge fund.
14:46 Caller: Now works in another hedge fund.
14:46 You: Now works in another hedge fund.
14:47 Caller: And he's building some kind of a claw thing.
14:47 You: And he's building some kind of a claw thing.
14:51 Caller: Open claw or pico claw or nanoclaw, it's taken over the world in the last four or five months.
14:51 You: Open claw or pico claw or nanoclaw, it's taken over the world in the last four or five months.
14:59 Caller: Plenty of people boasting about the things their open claw systems can do, but only ever works for them.
14:59 You: Plenty of people boasting about the things their open claw systems can do, but only ever works for them.
15:07 Caller: Right.
15:07 You: Right.
15:08 Caller: So, and everybody is doing it.
15:08 You: So, and everybody is doing it.
15:10 Caller: It turns out I learned on Mac.
15:10 You: It turns out I learned on Mac.
15:12 Caller: And he's not doing it on Mac, so he's doing it on Windows.
15:12 You: And he's not doing it on Mac, so he's doing it on Windows.
15:15 Caller: It's not exclusive to Mac.
15:15 You: It's not exclusive to Mac.
15:17 Caller: I didn't understand why people insisted on Mac minis to run their respective.
15:17 You: I didn't understand why people insisted on Mac minis to run their respective.
15:21 Caller: open clause.
15:21 You: open clause.
15:23 Caller: Me neither.
15:23 You: Me neither.
15:24 Caller: And they're in a walled garden, too.
15:24 You: And they're in a walled garden, too.
15:26 Caller: They don't have access to the Internet.
15:26 You: They don't have access to the Internet.
15:28 Caller: It's only on your own internal data, the ones that are you running it on Mac.
15:28 You: It's only on your own internal data, the ones that are you running it on Mac.
15:31 Caller: at least on the people I've seen talk about it.
15:31 You: at least on the people I've seen talk about it.
15:34 Caller: So you run it the own internal system.
15:34 You: So you run it the own internal system.
15:36 Caller: You don't let it go see the rest of the world.
15:36 You: You don't let it go see the rest of the world.
15:38 Caller: Because apparently, it's incredibly porous in terms of hacking.
15:38 You: Because apparently, it's incredibly porous in terms of hacking.
15:43 Caller: Oh, that's the least of your worries.
15:43 You: Oh, that's the least of your worries.
15:46 Caller: Yeah.
15:46 You: Yeah.
15:50 Caller: But anyway, he's coding.
15:50 You: But anyway, he's coding.
15:51 Caller: the whole darn thing with Gemini, Anthropic does part of it.
15:51 You: the whole darn thing with Gemini, Anthropic does part of it.
15:54 Caller: Claude does some of it.
15:54 You: Claude does some of it.
15:56 Caller: Like, he built whatever he's building, this product he's building, in like five different
15:56 You: Like, he built whatever he's building, this product he's building, in like five different
16:00 Caller: AIs.
16:00 You: AIs.
16:01 Caller: You know, he's open AI, he's an Anthropic, he used Claude, he used all of it.
16:01 You: You know, he's open AI, he's an Anthropic, he used Claude, he used all of it.
16:06 Caller: Everybody does everything.
16:06 You: Everybody does everything.
16:08 Caller: Oh, that's good.
16:08 You: Oh, that's good.
16:10 Caller: Yeah.
16:10 You: Yeah.
16:11 Caller: So that's what I think.
16:11 You: So that's what I think.
16:16 Caller: That's what I know.
16:16 You: That's what I know.
16:20 Caller: Excellent.
16:20 You: Excellent.
16:20 Caller: So I will wait for your email to arrive, Alex.
16:20 You: So I will wait for your email to arrive, Alex.
16:23 Caller: You still have got it?
16:23 You: You still have got it?
16:24 Caller: It's probably going through in my quarantine system, which is fine.
16:24 You: It's probably going through in my quarantine system, which is fine.
16:29 Caller: If I have any follow-up questions, I'll be sure to reach out, hopefully, before the end of today.
16:29 You: If I have any follow-up questions, I'll be sure to reach out, hopefully, before the end of today.
16:34 Caller: And then we can certainly get the process started.
16:34 You: And then we can certainly get the process started.
16:37 Caller: All right.
16:37 You: All right.
16:38 Caller: That works for me.
16:38 You: That works for me.
16:40 Caller: Nice talking to you.
16:40 You: Nice talking to you.
16:41 Caller: You're very, unlike most people I know, you're extremely calm.
16:41 You: You're very, unlike most people I know, you're extremely calm.
16:46 Caller: Oh, thank you.
16:46 You: Oh, thank you.
16:47 Caller: And very direct.
16:47 You: And very direct.
16:48 Caller: And you speak very properly.
16:48 You: And you speak very properly.
16:50 Caller: So where do you live?
16:50 You: So where do you live?
16:52 Caller: Just curious.
16:52 You: Just curious.
16:53 Caller: Your phone said white planes, but I don't know.
16:53 You: Your phone said white planes, but I don't know.
16:55 Caller: It's true, but I live in Long Island City.
16:55 You: It's true, but I live in Long Island City.
16:58 Caller: My phone number came from a time when the letters on the phone number meant something.
16:58 You: My phone number came from a time when the letters on the phone number meant something.
17:05 Caller: So my phone number spelled 9-14 any time.
17:05 You: So my phone number spelled 9-14 any time.
17:08 Caller: And this was back when we still had bricks for phones or flip phones, not smartphones.
17:08 You: And this was back when we still had bricks for phones or flip phones, not smartphones.
17:14 Caller: Yeah.
17:14 You: Yeah.
17:15 Caller: Or how do I put this?
17:15 You: Or how do I put this?
17:17 Caller: I got the number at a time when we still had to memorize our friends.
17:17 You: I got the number at a time when we still had to memorize our friends.
17:20 Caller: phone numbers.
17:20 You: phone numbers.
17:22 Caller: Wow.
17:22 You: Wow.
17:23 Caller: Pousmic.
17:23 You: Pousmic.
17:24 Caller: So it's a lost part with the current generation, but that's the easiest way to distinguish
17:24 You: So it's a lost part with the current generation, but that's the easiest way to distinguish
17:30 Caller: from each.
17:30 You: from each.
17:31 Caller: Anyway, I'll let you go, Alex.
17:31 You: Anyway, I'll let you go, Alex.
17:32 Caller: Thank you very much for reaching out.
17:32 You: Thank you very much for reaching out.
17:34 Caller: Thank you very much.
17:34 You: Thank you very much.
17:35 Caller: I'll wait for your call.
17:35 You: I'll wait for your call.
17:36 Caller: Perfect.
17:36 You: Perfect.
17:37 Caller: Take care.
17:37 You: Take care.
17:38 Caller: Bye.
17:38 You: Bye.