[User] Please transcribe this text

[Assistant] Now this test will refer to this test that we imported. Okay. So here I'm going to, of course, give the, uh, test described name, for example, uh, fixture demo.


[User] Please transcribe this text

[Assistant] And then followed by the async guy. And then here we'll get our fixture. And of course this is going to be your anonymous function.


[User] Please transcribe this text

[Assistant] Okay. So this one, right. So usually what we do, we will get the page. Okay. So pages like similarly, like.


[User] Please transcribe this text

[Assistant] We have extended, that means, already whatever we have in the playwright test runner, we will get all those things.


[User] Please transcribe this text

[Assistant] But additional to that, like I have defined the age, right? I can get that. I have defined the email that also I can get. Okay. So this is how the playwright


[User] Please transcribe this text

[Assistant] Okay, so here you can see like here we are getting the page because that is already defined. Similarly, if I want to get something of my own, then I have to use this like.


[User] Please transcribe this text

[Assistant] Uh, creating a fixture, I have to extend that and then I have to use it.


[User] Please transcribe this text

[Assistant] Okay, let's go and run this. Okay. So I'm going to console log like age and then followed by the email. Okay. Now let's go and run this. So what I'm going to do is I'm going to navigate to my config file and here within the test match, let's give this particular test. So copy relative path.


[User] Please transcribe this text

[Assistant] Paste it and change this to this. Okay. Now let's bring out terminal, control J and here I'm going to say npm test.


[User] Please transcribe this text

[Assistant] So what we can expect, we can expect like the, uh, age and the email. That is like 27 and kaushik350 at direct gmail.com.


[User] Please transcribe this text

[Assistant] So here you can see like we got 27 and the data. Okay. Since we are receiving the string and the number, then of course I can do some manipulation on that. Right. For example, if I say like email dot, you can see like we are getting some functions like


[User] Please transcribe this text

[Assistant] Uh, two uppercase, two lowercase, like whatever the string functions are there, we can get it. And number in the sense like of course I can do some


[User] Please transcribe this text

[Assistant] Manipulation I can say like maybe like 15 something like that. Okay, so if I try to execute the same


[User] Please transcribe this text

[Assistant] Like basic of playwright library. Okay. This thing is coming from the playwright library where we have to say like how to launch the browser, how to get the context, how to get the page. And once we create the page using that we can.


[User] Please transcribe this text

[Assistant] Access all the functions. Okay. That is the traditional way of using playwright as a library, but playwright test runner, both are different, which has merged into a single, uh, API now. Okay. So playwright test runner basically gives us


[User] Please transcribe this text

[Assistant] All this like hooks, the pre condition and the post condition, right? So here you can see like,


[User] Please transcribe this text

[Assistant] Here, uh, okay, I didn't close the browser, but of course we should close the browser so that the browser will get closed. But whenever we write test like this, if you go this, like, uh, uh, window.test.ts here, nowhere we are saying like how to close the browser, but after each and every test and the browser get closed, right? So in that way,


[User] Please transcribe this text

[Assistant] The fixture helps us. So how to create our own fixture in the sense like it's very, very simple.


[User] Please transcribe this text

[Assistant] Uh, you give a allies to the test from the player test runner and then you use the extend and there you have to specify the type. Okay. If you don't know, like what is the type feature and if you're using JavaScript simply, you can just copy this and you can give curly braces and give the value as it is. Okay. That's it. If you don't know about the.


[User] Please transcribe this text

[Assistant] In JavaScript I don't think we have this. Probably you can use that as an object or directly also you can pass it as it is. Okay. Both way it should work fine. So I'll just comment this maybe for now for your reference and just to make sure I'm going to execute one more time and check this one.


[User] Please transcribe this text

[Assistant] Okay, and then, uh, using the my test picture, you have to import this. Okay, so for example, this is this test, right? This is what we are using in our test cases. So here you can see like we got the same output. Okay.


[User] Please transcribe this text

[Assistant] So we understood the core concept of playwright, uh, fixture, but this is just a like


[User] Please transcribe this text

[Assistant] Uh, you can learn those by reading this document. It's very, very, uh, easy to understand, I believe. What does it do? Let me know in the comments. Probably I can do that in another video. Okay.


[User] Please transcribe this text

[Assistant] Now let's go and understand how to implement the same for the page object model. Okay. So page object model already we discussed in our previous video and I think that's one that one is very elaborated. So I'm not going to give you a quickie.


[User] Please transcribe this text

[Assistant] And within that, I'm going to say like, uh, something like form fixture.


[User] Please transcribe this text

[Assistant] And then of course what we have to do, we have to first import the, uh, test and we are going to give some allies. Let's name it like base, uh, test, something like that. And we are going to import that from.


[User] Please transcribe this text

[Assistant] Okay, so playwright as test. Okay, that's it. Now of course we have to create the, uh,


[User] Please transcribe this text

[Assistant] Pages equals within the object we are going to give the values. Okay, so what are the pages we have? Simply we can go to our test file and we can import all the classes. Okay, so I'm going to copy.


[User] Please transcribe this text

[Assistant] And paste over here. Okay, so here we can say like something like, uh, uh, register.


[User] Please transcribe this text

[Assistant] Okay, so similarly I'm going to give for all the values. So here I'm going to say like login page colon login page.


[User] Please transcribe this text

[Assistant] And you can separate this with colon if you want or else you can skip that as well. Okay. And, uh, okay, let's do for the homepage.


[User] Please transcribe this text

[Assistant] Okay. So don't get confused. It's really easy. This is like we are giving some name like a register page is the class name, whereas we are giving some allies to it. We can also say like creating an


[User] Please transcribe this text

[Assistant] Uh, test pages can be any name. Don't worry about the name until it is understandable and meaningful. Okay. And from there, of course I have to export. So I will say like export const, uh, test equal to test pages. Okay.


[User] Please transcribe this text

[Assistant] Okay, let's get the object for all the, uh, classes that we have declared here. Okay. So first we'll start with the register page and then we have to use the async. Of course, it's going to be like async and await everywhere. And then followed by, we are going to get the page within the fixture.


[User] Please transcribe this text

[Assistant] And then we have to return something, right? So we'll say like await and then followed by use. So I'll tell you this use what is use.


[User] Please transcribe this text

[Assistant] So before that, we'll get the use first and here we'll get the use. So await use and then followed by new.


[User] Please transcribe this text

[Assistant] The register page where we have to pass the page in the constructor. So that's it. Very simple, right? So let me tell you what is this. Okay. So this is the register page, which is coming from this type.


[User] Please transcribe this text

[Assistant] And here we already know like async, have it, that is fine. And already this is also a fixture, right? So of course we can get the page within this and you say something like that we have to, uh,


[User] Please transcribe this text

[Assistant] Uh, use and here I can say like my base URL is going to be, uh, something, something, something. Okay. So now this base URL will be this, some, this base URL, that is some value, some,


[User] Please transcribe this text

[Assistant] Okay. So this use is basically going to override that is specified within the fixture. Okay. So same concept here also, like within the playwright test, there is already a use which is using some data, but we'll have to use that right now. So what we are going to do, we are going to use the.


[User] Please transcribe this text

[Assistant] Okay. So then we are creating the object. Okay. So what is the difference between creating object here and creating the object within the test directly, right? I will tell you that difference in a moment. Please give me some time. Okay. Similarly, I'm going to create object for all the classes. So let's copy paste.


[User] Please transcribe this text

[Assistant] So first one is the login page, then here it's, I mean register page, then here it's going to be login page. This is going to be my homepage and this is going to be my special page. Similarly, I have to change the class name as well. Let's copy and paste it very quickly.


[User] Please transcribe this text

[Assistant] Last comma is not needed. Yeah. So this is how we have created all our page objects within the fixture. That means now I don't have to create the page objects or the class objects in all my tests. Rather, I can just simply use those. For example, I'm going to copy paste the same test and here I will name it like


[User] Please transcribe this text

[Assistant] Okay, and what we can do is we can simply like wherever we have created the, uh, this thing, right? We created the object, right? We are going to comment that. Okay. So of course we'll get a lot of error, but that is fine for now. Okay. So this thing, okay. So totally we have like three test blocks and


[User] Please transcribe this text

[Assistant] Everywhere I have just commented that one. Okay. Now this test is coming from where this is coming from the playwright test runner. Okay. But I don't want to use that. Rather I want to use it from my fixture. Correct. So here I will say like dot dot slash and then flood by fixtures slash.


[User] Please transcribe this text

[Assistant] Uh, okay with this, this is within the base, right? So slash base slash form fixture. Okay. Now here test is fine. Test we are getting, but the expect is not coming from there, right? So we have to export the X expect as well. Okay. So here, what can I do? I can simply say like export, uh, const.


[User] Please transcribe this text

[Assistant] Expect and that is going to come from my test, test pages dot expect. Okay. So that's it. Like whatever you want to use, you can use it. For example, here, uh, this test dot describe, right? So this test dot describe also coming from the same.


[User] Please transcribe this text

[Assistant] Okay, if you want to export it separately, you can do that as well.


[User] Please transcribe this text

[Assistant] Since this test already we have created a fixture, what can we do is simply here I can say like I want register page for this particular test, right? So here we are using all the register. So I can just copy and I can just replace this now.


[User] Please transcribe this text

[Assistant] Okay, so that's it. We don't have to create this, uh, object rather we will get this from the fixture and we can use it. Now here we want what we, we want the login, right? So here I can say like, uh, dot login page. Okay. And then I can use this everywhere I need. Okay. So here it's going to be like.


[User] Please transcribe this text

[Assistant] login page. Okay. That's it. Very simple thing. Okay. Now here what we need, we need the home page, login page and the special page, right? So we'll import all the like login page.


[User] Please transcribe this text

[Assistant] Home page and the special page. Okay. So that's it. Very simple. We'll just change this now. Login page. This is homepage and this is going to be my special page. Okay. And this is also same.


[User] Please transcribe this text

[Assistant] Let's go to, okay, here we don't want this import anymore because we are not creating the object within the test. Rather we have already created in our fixture and we are going to use it here. So this looks very simple, right? So if you compare the code side by side, uh, let me just spit right and here. Okay. So let me increase the font. Yeah.


[User] Please transcribe this text

[Assistant] So let me, okay, let it be. Okay, so here you can select, we have a lot of import statement here. It's look more cleaner and here we have created the object everywhere. Whereas here we are just getting it in the fixture and we are, you can use that within the tester directly. Okay. So like if you have like a lot of tests and you have to get a lot of object, then of course here you have to create like


[User] Please transcribe this text

[Assistant] You see here, we have created the login here and again we have created the login here as well. But in this case, in this fixture, we didn't get the object. We just use it from the playwright test fixture. Okay. So that is the benefit of playwright test fixture. Once you start using it, you will understand it, uh, better, I guess. Okay. So let's go and.


[User] Please transcribe this text

[Assistant] Bring the playwright convict file here. I'm going to change this test name.


[User] Please transcribe this text

[Assistant] Okay, so the browser got launched, it's doing some registration, uh, email is already exist, so that's why that, that should fail actually, but I don't know we have correct validation message or not.


[User] Please transcribe this text

[Assistant] Okay, and since the emulator ID is already there, of course we can log in and we can do something over there.


[User] Please transcribe this text

[Assistant] Yeah, so it says three pass, but we know that one got failed. That is the bad of mine. Okay. Not the playwright thing. So here, of course I have to write some.


[User] Please transcribe this text

[Assistant] Validation step. Okay. That is why like without validation, we should not write any of the test. Okay. So here like this one we are checking, but once we click on the continue register button, we have to do some verifications like


[User] Please transcribe this text

[Assistant] The verification, I mean the registration is complete or not. If that is done, probably here.


[User] Please transcribe this text

[Assistant] It will be failed, but in our case it is passing. Okay. That's, that's a test script problem. Don't worry about it too much now. Okay. So that's it. We are pretty much done with our playwright fixture. Let me give you one more


[User] Please transcribe this text

[Assistant] In a folder, let's make it like, uh, test dash data. Okay, and I'm going to say like,


[User] Please transcribe this text

[Assistant] Last name. So what are the test data you want? You can specify over here.


[User] Please transcribe this text

[Assistant] Okay, and what we need, we need the email. The email we are getting from here. So, uh, we will change that. So here I can say like comma, then followed by email and the value. So here I'm going to make a change to like zero four. Okay.


[User] Please transcribe this text

[Assistant] And what else we need? We need the password guy, right? So we'll copy that and here we'll change that like password.


[User] Please transcribe this text

[Assistant] One more like phone underscore number and the phone number. Okay. Some number. Yeah, fine. Now let's go and do this. So here I'm going to, uh, like do the import, um, star as.


[User] Please transcribe this text

[Assistant] Data from the, uh, what is the folder name? It's in the test dash data slash. Okay. I have to use like dot slash. Uh, come on. I can just copy the path and paste over here.


[User] Please transcribe this text

[Assistant] And of course within the double quotes. And we'll change this to this one.


[User] Please transcribe this text

[Assistant] Yeah, so this is the path dot dot slash test data slash the JSON file name. Okay, now here we are using this like allies data, right? So here I can say like, uh,


[User] Please transcribe this text

[Assistant] Okay, that is the beauty of TypeScript. You can get the suggestion here directly from your JSON file. Okay. So this is the last name and this is going to be my data.phone number and this is going to be my data.password and same here, data.password.


[User] Please transcribe this text

[Assistant] So similarly you can change for other things as well. So I'm going to, uh, uh, okay. Let's do it. Okay. So data dot email.


[User] Please transcribe this text

[Assistant] And here it's going to data dot password, similarly here. Okay, so data dot email at data dot password.


[User] Please transcribe this text

[Assistant] Okay, that's it, pretty much done. Now here we have changed this to 04, so hopefully it should do the registration. Now let's go and run this one more last time. Okay. So let's go and run this.


[User] Please transcribe this text

[Assistant] Okay, uh, in email it says like, okay, it's going to fail actually. And all the other tests will also fail because the registration itself failed, right? So let's see what happens.


[User] Please transcribe this text

[Assistant] I have given the data wrong, that's it, nothing much here. So if you go here.


[User] Please transcribe this text

[Assistant] Okay, so we got, we corrected everything, but let's wait for this one. Okay, last one got passed because we have given that here correctly, but other two failed because


[User] Please transcribe this text

[Assistant] Okay, so if you go to the reporter and if you open the index.html, uh, to cut, this one got pass actually. And what is the test data?


[User] Please transcribe this text

[Assistant] Okay, that's, let's go ahead and check the video. I think I have that zero four millimeter registration as well.


[User] Please transcribe this text

[Assistant] Okay, I got it, uh, the login failed, but without login also we can add a product to the cart, right? So that's why the test got passed. I think we should write a better approach to handle this test case, but yeah, you got the idea, right?


[User] Please transcribe this text

[Assistant] There's also one thing like in test automation, sometimes if you don't follow the test case or you don't know about the use case scenario, even though your test is failing, it will give you false result as pass. Okay. So be cautious on that.


[User] Please transcribe this text

[Assistant] So that's it. We got the, uh, result now and three are passing. Okay. So this is how we can read the.


[User] Please transcribe this text

[Assistant] Data from the JSON, it's going to be very, very simple and the playwright test fixture. Okay. So let me give you a quick recap and we can conclude this video. Okay. So let's go to the base Palm fixture.ts. Okay. So very simple thing. So whatever the classes you want to create object, do the import before that, do the import from


[User] Please transcribe this text

[Assistant] And then we have to use the extent where we have to give the types like what are the classes we have.


[User] Please transcribe this text

[Assistant] And using that we have to create the object for all the classes and make sure you are going to use the async and tab 8 and the use function as well. Okay. And then whatever you want to use.


[User] Please transcribe this text

[Assistant] You can, uh, just get that. So in this way, we don't have to write a lot of import statement in our test file. And also the good thing is like when we use the player at test runner, we don't have to worry about the before and after.


[User] Please transcribe this text

[Assistant] care of all the other things. Okay. So that's it for my side. Thanks for watching. If you have any queries feel free to ask me in the comments. Tata bye bye. Take care. See you in the next one.


[User] Please transcribe this text

[Assistant] Uh, pull this closer, I have no idea what I'm doing. Sue Cash is a heavyset woman who once was a soldier and is now hired to be their roadie and heavy on the tour. So I'm here to carry, I think she'd be a wee bit Scottish actually. Should we make her Scottish?


[User] Please transcribe this text

[Assistant] Exactly, so I think she's there to sort out all the, all the terrible things that, that might get in the way of your gigs, but mostly she keeps to herself smoking a wee pipe in the corner and maybe drinking one too many glasses of rose.


[User] Please transcribe this text

[Assistant] Fleetwood, listen here. I'm so tired already of this hangover that I'm nursing. So I want you to answer my friend's question and if you don't do it now, let's just say that this cigarette's going to go somewhere you don't want it to go.


[User] Please transcribe this text

[Assistant] Uhm, which of my lovely compatriots is the smallest? Ooh.


[User] Please transcribe this text

[Assistant] Uhm, a very, a very, a lowly eleven, so as I lift this bird, I like to imagine that I haven't actually worked out for quite some time, and I'm just going, you see how easy it is?


[User] Please transcribe this text

[Assistant] In which case you can lead the way, but first I will, I will insist that I'm paid in wine, uh, at the end of this.


[User] Please transcribe this text

[Assistant] I, uh, step up and I look around at the bards and go, uh, I'll, I'll do it then, uh, with me fingers, um, hocus pocus squiggly wiggly.


[User] Please transcribe this text

[Assistant] And then, I would like to maintain eye contact with this purple, uh, dude the entire time. Just like really bearing down on him to see if he laughs at me, I'm gonna clobber him with my maul.


[User] Please transcribe this text

[Assistant] I could have told you that. So here's what my thinking is, is that the dragon came out and, eh, you know, flew around and there was an orchestra, you know, and, eh, one of them,


[User] Please transcribe this text

[Assistant] Cause I think she'd get quite jealous and sort of stomp over going, you leave him alone. He's, he's only got eyes for me, you know? So eyes down fella.


[User] Please transcribe this text

[Assistant] They certainly do. Can you make this stop, please? I don't like my fingers smelling like this.


[User] Please transcribe this text

[Assistant] Well, buy me a drink first and then maybe we can have that conversation.


[User] Please transcribe this text

[Assistant] I would like to take this bottle, yank it over, and then turn to one of my beloveds and say,


[User] Please transcribe this text

[Assistant] I, I don't, it's been a wee while since I've done this, but, uh,


[User] Please transcribe this text

[Assistant] Would you like to go for a wee drink when we're done after this? I've got you a wee present as well if you, you know, if you fancy.


[User] Please transcribe this text

[Assistant] She's quite nervous and is kind of looking down at her shoes, her enormous feet, kind of. She's clearly been heartbroken too many times this woman.


[User] Please transcribe this text

[Assistant] You guys with the dragon, I'm gonna go say a wee hello to you. And she just sort of lobs an empty rose bottle across the arena at this figure in the dark.


[User] Please transcribe this text

[Assistant] I leave them because, well, after leaving the army...


[User] Please transcribe this text

[Assistant] Following in the footsteps of my father and my father's father, and being a roadie for the greatest band of all time, I knew there would be challenges, but I wasn't really expecting an elf and a dragon.


[User] Please transcribe this text

[Assistant] But I'm not leaving them, you see. I will never abandon my band.


[User] Please transcribe this text

[Assistant] Guys, there's a dragon there. I don't know, we've already said that. You know what? Bring it on.


[User] Please transcribe this text

[Assistant] Guys, get behind me! And I want to stand in front of all my wonderful bards, draw my, uh, maul, and look up at the dragon and say, Yes, Rosie, better be worth it!


[User] Please transcribe this text

[Assistant] Another whole bottle of rose goes down as I'm charging.


[User] Please transcribe this text

[Assistant] I'm gonna try and like, I let out a huge scream as my, I, I, I, she, I, she's dead. I only knew her for a couple of seconds. I think she's distraught.


[User] Please transcribe this text

[Assistant] Uuuh, yes. Okay. Alright, so I now get to roll, uh, 4d6 plus 3. 18 damage. 18 bludgeoning damage.


[User] Please transcribe this text

[Assistant] I think what actually happened was as I got to the dragon, I kind of missed my attack.


[User] Please transcribe this text

[Assistant] So, just as the band are getting ready, I get up and say, we are, uh, the, what's the name of our band? We are the, the Ominous Silence, and we are here to kick ass and kill dragons and play music and stuff.


[User] Please transcribe this text

[Assistant] Yeaah.


[User] Please transcribe this text

[Assistant] Oh. Oh, did somebody try to sell it to you?


[User] Please transcribe this text

[Assistant] Are you threatening me, Mr. Marl? Yes.


[User] Please transcribe this text

[Assistant] Is that you, Anna? You have heard? Listen, dear, I don't want to alarm you, but we have to leave the country at once.


[User] Please transcribe this text

[Assistant] You'll be surprised to hear that Bomash is no longer in...


[User] Please transcribe this text

[Assistant] Take the SS officer to the car. Court 66, you said?


[User] Please transcribe this text

[Assistant] Not much of a life, a secret agent. And he pays bad too, sir.


[User] Please transcribe this text

[Assistant] But that's fantastic. Carl doesn't even know where I am.


[User] Please transcribe this text

[Assistant] 1935, you said. I guess I will get hold of a copy for you.


[User] Please transcribe this text

[Assistant] Why do you young people have to keep such an earthly hour? Why aren't you at home, Joe?


[User] Please transcribe this text

[Assistant] I agree with you there. They got me out of a sound sleep. Now take the telephone and get them out of their bed.


[User] Please transcribe this text

[Assistant] To intelligently direct the social life out of the home, as well as in it.


[User] Please transcribe this text

[Assistant] And may I suggest that you spend less time in saloons and more time with your son Rocky? The boy whose mother couldn't get here.


[User] Please transcribe this text

[Assistant] In my opinion, far too busy. And interested in your clubs and social activities.


[User] Please transcribe this text

[Assistant] To pause a moment for a heart-to-heart talk with your daughter Francine.


[User] Please transcribe this text

[Assistant] I'm afraid you're a man of very violent temper, Mr. Thompson. And I warn you.


[User] Please transcribe this text

[Assistant] Here you are, you lad. Seen Martin Egan's tent by the bowling alley. I found George Hussey. Where? In a bughole at Tumacade. I've known worse than Hussey.


[User] Please transcribe this text

[Assistant] Family by the name of Colleen. Taken under Mother Creek.


[User] Please transcribe this text

[Assistant] You know which road they took? I hear the Headford Crossroads dropped. They'll be meeting there. Gimme a hand.


[User] Please transcribe this text

[Assistant] That's a sign of the times right there. Yeaah, no, no, no. Hypnotic was the first look I ever tried in my life. Really? Definitely. How old were you? Uhh, 13 years old.


[User] Please transcribe this text

[Assistant] You know what I'm saying, a lot of people you meet in Ohio, they just not like, some of them just not real niggas. So like when I had met Lambs and Mills, it was like, they was really the niggas that they said they was, you feel me? So it wasn't no complication, you know what I'm saying, like they was really getting to it and that's something that I was all about at the time. So it was like, it was definitely 100, you know what I'm saying.


[User] Please transcribe this text

[Assistant] I went to a Waka Flaka show, but that's only cause it was at the club. Oh yea, see, there you go, that's what's up. Yea, it was at the club and I went to a Waka Flaka show.


[User] Please transcribe this text

[Assistant] Yup, yup, yup. And plus niggas got money to spend, man. Niggas get they money, you know what I'm saying? It's not like you like in, you know what I'm saying, a major city where you spending it on this flashy shit. You really just spending it on one of two things, man.


[User] Please transcribe this text

[Assistant] And, uh, basically she was just like, oh yeah, let's go, uh, let's, uh, go to my crib. I got to grab some shit from my crib. Can you walk me to the crib? I was waiting for my gang. Cause you know, middle school gangs used to be on some like weird shit and we went there right to school. So I basically followed her or whatever. We went to her crib or whatever. We was kicking into this shit or whatever. And she was like looking for some shit called Spanky's and I was like, I don't know what the fuck that was.


[User] Please transcribe this text

[Assistant] Nah, she, like she came out on her towel, but like when she was like looking for her bra and shit, like her towel dropped on some movie shit. Tits out. You know what I'm saying? But you know, I'm a young niggas, but I'm still respectful and you know what I'm saying? So I'm kind of like looking away. She was white? Hell nah. I mean, I ain't racist.


[User] Please transcribe this text

[Assistant] So, you know what I'm saying, like, basically one thing, you know what I'm saying, like, I just get on my one shit, one thing lead to another, and uh, y'all know how I'm giving it up, man.


[User] Please transcribe this text

[Assistant] I mean, I was, my upbringing, you know what I'm sayin', like...


[User] Please transcribe this text

[Assistant] It was just, I don't know, normal like street shit for real. Like, I just grew up in the hood. You know what I'm saying? I got three older sisters and shit. Raised with my grandma. Grew up in Columbus, Ohio. You feel me?


[User] Please transcribe this text

[Assistant] Everything was just, I feel like it was no different than anybody else, you feel me, like, same struggles, you know what I'm saying, fighting all type of little weird shit, like, just going up, you feel me, but like,


[User] Please transcribe this text

[Assistant] Uhm, I had made one song, but like, I never, never put it out. I mean, I did, but it took like a long time for me to actually put it out. You feel me? But like, just the process is like, you know what I'm saying, like shoot, if it's like so short, all my videos and shit, and like once I got to that point,


[User] Please transcribe this text

[Assistant] Like I know the studio environment, you know what I'm saying? So like, it was nothing to make a song, for real, for real.


[User] Please transcribe this text

[Assistant] Like a lot of my early shit and then I had moved, I had moved up like toward like, like Cleveland and then I was recording shit up in Cleveland and then, but I was still recording it and a nigga named Will in like his bedroom, like Southside was recording a nigga's bedroom. Really? You know what I'm saying? Like Southside, Urgent, like all my like earlier shit was all recorded in a nigga's bedroom.


[User] Please transcribe this text

[Assistant] The vision behind it was just like, every single song, I just want to give them another piece of me. Every single song on there is a true, factual, real part of my life.


[User] Please transcribe this text

[Assistant] Like, if you listen to the actual lyrics, I'm literally telling you who I am, you know what I'm saying? And I wanted that, that album to basically be like...


[User] Please transcribe this text

[Assistant] Somebody that didn't know who I was, I want somebody to listen to that from the beginning to the end and be like, I know who Rari is. I know who the fuck this nigga is. I know where he been through. I know where he from. I know what he was doing. You know what I'm saying? Like, I don't want niggas to be able to go into like, be like, oh, is he really this? Is he really that? Did he really do that?


[User] Please transcribe this text

[Assistant] Nigga, listen to the music. It's all in the music. And I wanted to make sure that every single song that I made, that you were just learning more about me. Like I'm just not this way for no reason. Like I can be anything I want to be, but, but just know where I came from. You feel me?


[User] Please transcribe this text

[Assistant] Like, I'm not, I don't toot my own horn, I'm niggas say I'm cocky, but I'm really humble for real when it comes to this shit. It's like, I don't even care about ranks or who bigger and who smaller, but one thing I know I'm doing, I'm putting on for the south side of Columbus and nobody can ever say I'm not.


[User] Please transcribe this text

[Assistant] I got niggas screaming Southside, I got niggas screaming two, two, three. You know what I'm saying? Niggas don't even know what that is. You know what I'm saying? That's some shit we used to run around screaming. I got niggas throwing up my shit. I got niggas throwing up my gang. Like, niggas don't even know what that shit is, but it's like- I don't know what that is. I'm confused. I see gang signs, I get all scared and shit. If you see it, man, that's rolling 20s, man. That's rolling 20s crips, man. If I see that, I duck. I hit the floor.


[User] Please transcribe this text

[Assistant] Niggas already knew. And you know what I'm saying, I got into it when I was 13 years old. You feel me? So it was like, it wasn't even like a...


[User] Please transcribe this text

[Assistant] It wasn't even like a change for me. It was almost like me just growing up was just like, it was already molding me to be the person I was already going to be. Like if you're going to jump off the porch, you only got two options. You're going to jump off the porch and you're going to be some athlete ass nigga or you're going to jump off the porch and you're going


[User] Please transcribe this text

[Assistant] Like, you know, kind of what you were saying earlier is like, that's the team I play for. Like, if I've always been on the Lakers, I'ma let niggas know I'm still a Laker. You know what I'm saying? Like, if I've always been a Crips since I was 13, it was like, niggas know.


[User] Please transcribe this text

[Assistant] What it is, like I don't want niggas to ever think in they life that like I got to a certain point and I forgot where I came from or I forgot, you know what I'm saying, like the foundation of it all, like that got me to this point. You feel me? Like that is still all extremely relevant to me. Like this wouldn't be here if it wasn't for that.


[User] Please transcribe this text

[Assistant] For me, cause it's like, that gang shit, niggas look at it as just like some killing and stealing and robbing and shit, but that shit was a community thing. We got a shit called the Southfield Reunion, where the whole community come together, and you know what I'm saying, it's barbecues, it's the OGs, it's the kids, it's everything, like, this is some community shit, you feel me, like, this isn't some like,


[User] Please transcribe this text

[Assistant] Robbery gang gang gang shit, like this is some legit lifestyle shit.


[User] Please transcribe this text

[Assistant] Uhm, I've been working on it. I mean a lot of the songs, a couple of the first like, maybe like first four or five songs were just like shit I've been had made. But then the ending of it was like recent.


[User] Please transcribe this text

[Assistant] Even with the shorty, the shorty I was fucking with, like I was fucking with her for a minute, but then like basically our lives was just changing. You know what I'm saying? And then she took a different route. And then when she took her different route, you feel me?


[User] Please transcribe this text

[Assistant] I mean, my shorty would know shit about me, as in like, she know what the fuck going on, like she know how I'm giving it up and shit, but it's like, she not gon' know.


[User] Please transcribe this text

[Assistant] The specifics, you know what I'm saying? Like, just, you can't put your, yea you can't put your shorty in a situation where it's like, if it comes down to it, she could say too much. She in the crossfire. Yea, like you can't put in a crossfire, like it's better that she know a little less, you know what I'm saying? I learned my lesson with that shit.


[User] Please transcribe this text

[Assistant] Chief Keef. Yeah, Keef. Future. Yeah, future. That was like, uh, yeaah, like of course. Mhm. But like, uh, I listened to Trippie Redd. Mhm. Shout out to Ohio, man. Shout out to Trippie Redd, man.


[User] Please transcribe this text

[Assistant] The thing about, the thing about the niggas that blow up from Chicago is that like, some niggas is, okay, a lot of niggas in Chicago, they really, really, really on that gang shit. And when you're really on that gang shit, like, it's niggas that you join that gang with. So when you blow up, you put them niggas, you put your gang members on.


[User] Please transcribe this text

[Assistant] It's like, you gon' see more, it's a lot of light going to spread onto Ohio, cause it's like you gon' hear about all these great artists, all this motherfuckin' like great music that's coming up out of there, you feel me? So much.


[User] Please transcribe this text

[Assistant] See, the first project was the foundation, but the second project, it just let niggas know that like, I'm really in this for real. Like, I'm really, really, really doing this music shit. And it's like, I'm still playing around my sound. I'm still kind of letting niggas know that I'm just not like...


[User] Please transcribe this text

[Assistant] That's what I'm saying, like if they know they can sign niggas that got this type of brew or this type of this for this amount of money, they looking at you like, well if I can get a


[User] Please transcribe this text

[Assistant] This type of artist for 20 racks, then I only can give you about 10, you know what I'm saying? But that's the rap game, like trap game, you know what I'm saying? Like, if niggas is copping loud,


[User] Please transcribe this text

[Assistant] We just, you know what I'm saying, like, we might not have the biggest markers, we might not attract all the kids, you feel me? But it's like, you tap in, if you want to listen to some real shit, you want to listen to some shit that like, can really carry you along, this is it.


[User] Please transcribe this text

[Assistant] In Ohio. Like, there's a lot of niggas that can't even point.


[User] Please transcribe this text

[Assistant] My city out on a fucking map. So it's like, this is a simple fact that like I came from that. I jumped over all them obstacles and it's like I'm even here right now to even do this shit. Like I said, like I'm extremely humble to that shit. Like I appreciate everybody that fuck with me when it comes to this music shit. Cause like I haven't been doing this shit for that long. Like,


[User] Please transcribe this text

[Assistant] I could've dropped all this music and everybody could've looked over this shit. Everybody could've heard everything I made and been like, aw, he's just another one of them niggas.


[User] Please transcribe this text

[Assistant] Yeah, yeah, yeah, what they seen, you know what I'm saying? Like, yeah, I shot that down at South by Southwest. We was fucking South by Southwest up. Yeah, nah, that was a crazy, crazy, crazy.


[User] Please transcribe this text

[Assistant] However, my home, even with the murdstones there, seemed a much pleasanter place than school. And I was glad when the Christmas holidays arrived, and I was allowed to return to Blunderstone.


[User] Please transcribe this text

[Assistant] I was a little surprised to find that my mother had a new baby, and I could see at once that she was not well. She looked tired and worried and very thin.


[User] Please transcribe this text

[Assistant] But she and Peggy were delighted to see me.


[User] Please transcribe this text

[Assistant] They dared not show it if the mudstones were present.


[User] Please transcribe this text

[Assistant] I was almost pleased when it was time to return to school and see treadles and steer forth again.


[User] Please transcribe this text

[Assistant] I remember my mother standing outside our house, with her baby in her arms, smiling sadly at me. That was the last time I saw her, and that is how I shall always remember her.


[User] Please transcribe this text

[Assistant] No need to be afraid little one. The nightmare is over. Everything was just a dream. You're a strong little girl. There is nothing you cannot overcome.


[User] Please transcribe this text

[Assistant] Yes. I found it. So don't you worry anymore. You just keep your treasure safe too.


[User] Please transcribe this text

[Assistant] Let me go grab Tifa real quick. Before we go into her house.


[User] Please transcribe this text

[Assistant] So I wonder if the numbers have some significance. Sephiroth has a 1 on his hand.


[User] Please transcribe this text

[Assistant] Looks like you have water, you've been fed. I just let you out.


[User] Please transcribe this text

[Assistant] I know the basement's the other way, but yea, I wanted to see if there was any enemy launcher.


[User] Please transcribe this text

[Assistant] Seems weird that they would have four distinct numbers. Oh. Well, there's the chair. As far as I saw, I didn't see... You're probably right, there might be another one. I didn't try to scroll down, though. Let me see what this does, and then after this, I'll go back and look at that hint.


[User] Please transcribe this text

[Assistant] 36, 10, let's just give it a go. I guess it's not, it's not like anything really happens if I don't get it.


[User] Please transcribe this text

[Assistant] Would it be two rights? It wouldn't be right, left, right, left.


[User] Please transcribe this text

[Assistant] Hopefully we don't take on any, uh, Miley Cyrus's.


[User] Please transcribe this text

[Assistant] The graphics are PS2 era. It can't be that bad.


[User] Please transcribe this text

[Assistant] We bring Tifa back just in case we run into trouble on the way to the save. There we go.


[User] Please transcribe this text

[Assistant] Get a little warm up here and, uh, go hang out with the fiance for a little bit. And a friend if you're here, I appreciate you hanging out. Uh, Lumi, if you're still sticking around, I appreciate your help. Uh, hope to see you guys again soon. I don't think I'll be on tomorrow morning, but I'll try to do tomorrow evening. Um, but yeaah, definitely have more of this coming up soon. So I appreciate everybody who's lurking, chatting, hanging out. Appreciate all of you.


[User] Please transcribe this text

[Assistant] Welcome to Overboard, Polygon's board game show. Today, we're gathered around the campfire to play The Last Friday, a terrifying hidden movement game inspired by schlocky 80s horror films.


[User] Please transcribe this text

[Assistant] Here's how it's played. At the start of the game, one player is assigned the role of Maniac, while the rest play as campers. The camper's goal is to survive the night and capture the Maniac, who is attempting to win.


[User] Please transcribe this text

[Assistant] Despite their numbers, the campers are at a distinct disadvantage, because the majority of the maniac's movements around the board are hidden. White dots and numbered spaces are scattered across the board. The campers may only move between dots twice per turn.


[User] Please transcribe this text

[Assistant] The maniac moves between numbered spots while secretly recording their movements behind a screen. No peeking, campers.


[User] Please transcribe this text

[Assistant] When they're on the hunt, they can murder a camper simply by crossing over them. But the campers aren't always in the dark.


[User] Please transcribe this text

[Assistant] In chapters where the campers are pursuing the maniac, the maniac occasionally reveals their current location on the board.


[User] Please transcribe this text

[Assistant] And in the chapters where the maniac is hunting the campers, the maniac only has to reveal where they were three turns prior.


[User] Please transcribe this text

[Assistant] This information is still helpful to the campers, but also a heck of a lot scarier, since they know the maniac has since moved on.


[User] Please transcribe this text

[Assistant] The campers also get some assistance in the form of clues.


[User] Please transcribe this text

[Assistant] These items are found inside tents at the beginning of the game, and are also left behind by the maniac each time they reveal their position.


[User] Please transcribe this text

[Assistant] These could be shoes that let the campers take an extra movement, or a bear trap that slows down the maniac player, or a lantern that can illuminate and reveal the maniac's position. There are some other nuances that we'll explain as we go, but right now, it's time to meet our campers.


[User] Please transcribe this text

[Assistant] Hello and welcome to a very special, spooky edition of Camp Overboard where we're going to play the game Last Friday.


[User] Please transcribe this text

[Assistant] This game is styled after scary movies, which means one of us is the maniac.


[User] Please transcribe this text

[Assistant] I'm gonna start off as Jason. He is shrewd, which means after placing a bear trap, I can move another dot.


[User] Please transcribe this text

[Assistant] Oh, oh no. Oh, it's C-Counselor Calvin.


[User] Please transcribe this text

[Assistant] Uhm, and then uncover that 10.


[User] Please transcribe this text

[Assistant] So now there are, our maniac is always traveling on our numbered circles, and there are four numbered circles around Pat. If our maniac is any of those, they have to say so.


[User] Please transcribe this text

[Assistant] So when one of the players unlocks a cabin, they turn the lights on.


[User] Please transcribe this text

[Assistant] Whenever our maniac passes through any of the spots around it, they must reveal themselves.


[User] Please transcribe this text

[Assistant] Also importantly in this first round, we all need to get in cabins to end it without dying.


[User] Please transcribe this text

[Assistant] And then I, one, two, I stand in front of the caver, but cannot enter yet.


[User] Please transcribe this text

[Assistant] The issue is, if you don't get in the cabin in three turns, you die. Yeah.


[User] Please transcribe this text

[Assistant] That concludes chapter one because all players are either dead or in a cabin.


[User] Please transcribe this text

[Assistant] So even though some of us died that round, uhm, we continue playing in these future rounds because new campers arrive. So let's introduce our new campers.


[User] Please transcribe this text

[Assistant] So between rounds we do a little calculation here, which is basically how many corpses are on the field versus how many living campers are on the field. We actually do have three campers to two corpses, which means the campers get the ability to peek at one of the clues on the field. This seems like a spot we want to go to anyway, for that.


[User] Please transcribe this text

[Assistant] Yeah, so this chapter is the, uh, kinda flip the script. The maniac will be revealing themselves where they are on these turns.


[User] Please transcribe this text

[Assistant] So they've gotta try to stay away from us. Uh, we also do change turn order, and our Maniac goes first now.


[User] Please transcribe this text

[Assistant] We may as well unlock some cabins, because that also prevents the killer from breaking them.


[User] Please transcribe this text

[Assistant] Who was it? That was our beloved friend. Sam. Sam.


[User] Please transcribe this text

[Assistant] And because we could not kill the murderer, we decide there's no problem. And we go back to our normal lives, getting rid of all these tools we've collected.


[User] Please transcribe this text

[Assistant] Alright, well I'm gonna drop that for one of y'all, but I have a feeling it won't matter. I am the one the maniac wants to kill. For some reason I'm the last one they saw, I guess, and you want revenge?


[User] Please transcribe this text

[Assistant] Uhm, I do get equipped with every item, which is a bonus. I need to be careful, uhm, because if I die, the campers lose, the maniac wins.


[User] Please transcribe this text

[Assistant] So the campers will probably be doing everything they can to make sure I don't die.


[User] Please transcribe this text

[Assistant] So that was the third round, and the murderer was not able to kill the predestined, so we move on to the last round. This is the final chapter, and it's the chance for the campers to win, but they can only do it if the predestined, me, captures the maniac.


[User] Please transcribe this text

[Assistant] This is like the second round again where the campers are going to move second, right? You're gonna move first now.


[User] Please transcribe this text

[Assistant] Makes it a little easier for us to sort of, uh, pin the maniac, because the maniac is not on their turn allowed to cross over a player. We kind of function as bear traps.


[User] Please transcribe this text

[Assistant] I'm going to go one, two, and then I'm gonna put my hand to my ear, and then focus. Do I hear a rustle?


[User] Please transcribe this text

[Assistant] So if red, if you go to 137, you continue to block off their other options. Is it?


[User] Please transcribe this text

[Assistant] We're running by to the front of Camp Overboard, there's the sign, there's the parking lot, dusk is breaking.


[User] Please transcribe this text

[Assistant] Discard Shovel. Ow. Sorry. Uhm, and then, I'm gonna... Can I use my shoes this turn?


[User] Please transcribe this text

[Assistant] As the White Deck Commander, I will leverage incredible defensive strategies to stop you cold. In fact, I'm pretty defensive myself. A lot of people say I'm the most defensive person they've ever met.


[User] Please transcribe this text

[Assistant] Welcome interloper to the realm of white. Here in the realm of white, we honor the tradition of rock paper scissors. Allow me to explain the rules.


[User] Please transcribe this text

[Assistant] As I bested you in our first contest of tactics, I will be going first, so I'll do my start step. I've started. Core step, I skip because I won. Draw step.


[User] Please transcribe this text

[Assistant] And refresh step. Nothing to refresh. Let the battle commence. Right. Fortress Metropolis!


[User] Please transcribe this text

[Assistant] I'm a defensive master, I never predicted this. I take the damage.


[User] Please transcribe this text

[Assistant] I play Mecha-Beast Fortress Namungard. Draw three cards, place three cores from the void into your reserve when destroyed.


[User] Please transcribe this text

[Assistant] If I reach level 2, perform a refresh step after your attack step.


[User] Please transcribe this text

[Assistant] This effect may only be used once per turn. And I yield my turn.


[User] Please transcribe this text

[Assistant] Start step. Core step. Draw step. Refresh step.


[User] Please transcribe this text

[Assistant] I summon Valkyrie Mist, the android. When summoned, select one of your opponent's spirits that costs seven or fewer and return it to their hand. First I gotta pay for it. That. Cost me two. What happened there Chief Engineer? Nothing. Okay. Just clearing my throat for tactical reasons.


[User] Please transcribe this text

[Assistant] Yeah, I can tell. I did already.


[User] Please transcribe this text

[Assistant] That was a free one, and I let you have it. So you could briefly savor the taste of victory, which I will now rip from you. I attack with Valkyrie Mist.


[User] Please transcribe this text

[Assistant] And I attack with Mecha-Beast Fortress Gnomon Guard for 10,000. Right. I mean, that's just one hit, but it's a big number. Uh, I will take the hit. I end my attack phase, and I refresh.


[User] Please transcribe this text

[Assistant] Very good. Start step. Core step. Draw step. Refresh step.


[User] Please transcribe this text

[Assistant] Uh, people with alternative tastes can get goods, trip pants, uh, t-shirts with Dungeon or Dragon characters on them in a shopping mall next to


[User] Please transcribe this text

[Assistant] When one of your spirits blocks, it gains 1000 BP during this turn. At level 2,


[User] Please transcribe this text

[Assistant] In Fortress Metropolis, now I'm in City, and now, on Defense, all of my Spirits gain 1000 BP.


[User] Please transcribe this text

[Assistant] You understand basic math, I see this is going to be quite a challenge. Got it, yeah, you know. Oh, uh, I yield my turn.


[User] Please transcribe this text

[Assistant] Draw a step. Refresh step. I play Machine Beast Pegasion. Mmm, okay. At a cost of two, I transfer one orb.


[User] Please transcribe this text

[Assistant] Advanced engineers are allowed to call them orbs, and I move this from Rocket City, so Rocket City no longer has the ability to prevent you from...


[User] Please transcribe this text

[Assistant] If the Spirit has a Soul Core on it, it can block your opponent's Spirits with two or fewer Cores on them, even if it's already exhausted.


[User] Please transcribe this text

[Assistant] And then I rest. As God did, after creating all things.


[User] Please transcribe this text

[Assistant] Core step. Draw step. Main step.


[User] Please transcribe this text

[Assistant] Uh, was popular around, I'd say probably 2011 to 2012 in our realm. Uh, it was- Was your realm called?


[User] Please transcribe this text

[Assistant] I think I might be playing another card here.


[User] Please transcribe this text

[Assistant] I can't afford that. My money situation is tight right now. I attack. With Mecha-Beast Fortress Nomen Guard.


[User] Please transcribe this text

[Assistant] I yield my turn, and I...


[User] Please transcribe this text

[Assistant] Refresh my mecha beast fortress now I'm in guard. That is a very handy ability. It's nice.


[User] Please transcribe this text

[Assistant] I block with MechaBeast Fortress Nomen Guard. Okay.


[User] Please transcribe this text

[Assistant] With a defensive capacity of 12,000. Okay.


[User] Please transcribe this text

[Assistant] Very well. No matter a defensive master can fight back from anything.


[User] Please transcribe this text

[Assistant] My defensive plan is working perfectly. Glad to hear it. Perhaps I should have played more than one card.


[User] Please transcribe this text

[Assistant] Start step. Before core step, we know this as experts in defense.


[User] Please transcribe this text

[Assistant] Refresh step. At a cost of three cores, I play Sky Dragonlord Platinum.


[User] Please transcribe this text

[Assistant] Popular sort of in the mid to late 90s, they were Irish I think. Wow.


[User] Please transcribe this text

[Assistant] In this moment, I could deny your precious pen-tan the greatest pleasure of their little life.


[User] Please transcribe this text

[Assistant] In our realm we have a medium called anime and a common trope in that is once you've sort of bested somebody they become part of your, you know, your posse, your cadre. That explains why I feel like- And you start to see the positive things about their personality, not just the negative things.


[User] Please transcribe this text

[Assistant] Okay, now are we best friends or? Interloper, you know all my life I've prided myself on being defensive. Putting up walls, barricades, mechanical elephants.


[User] Please transcribe this text

[Assistant] Perhaps what I needed all along was to let somebody in. And I'm glad that somebody was you. I'm glad too.


[User] Please transcribe this text

[Assistant] Please take my elephants, take my little ladies, and my, my walls, and my, and my robot dragons, and lead them to victory, as I couldn't.


[User] Please transcribe this text

[Assistant] What a powerful card. I agree. Start step. Core step. Draw step.


[User] Please transcribe this text

[Assistant] How much farther? Less than 300 kilometers. We'll be in Switzerland in about an hour. Good.


[User] Please transcribe this text

[Assistant] You mean you want to get out of Germany? Confidentially. It will be a pleasure.


[User] Please transcribe this text

[Assistant] Okay, so my guy's name is, and by the way, I just wanted to point out, as I said earlier in the episode, I know nothing about, uh, fantasy role-playing games at all. I am a complete noob, so please bear with me if this is annoying, embarrassing, or bad. My guy's name is Sir Willy the Contemptible.


[User] Please transcribe this text

[Assistant] Okay, I am 5'11", 200 pounds, I'm a Pisces. I have one colored glass eye.


[User] Please transcribe this text

[Assistant] It's like a burnt orange, cause it's the fall and I like to match.


[User] Please transcribe this text

[Assistant] Uhm, the way of the world is kind of changing, uh, the bunion on my toe, uh, the difficulties in getting a good parking space in Koreatown and Los Angeles, uh, tax burdens.


[User] Please transcribe this text

[Assistant] Uhm, ironing my own clothes because I never am able to get the water in the little hole to make it steam. So that's really hard. Uhm, cereal, my favorite kinds of cereal, if I drink milk with my cereal, just kind of stuff that I like to talk to him about. And he was really bored and he just kind of keeled over and died.


[User] Please transcribe this text

[Assistant] Is this a base, uh, this character based on Scott Steiner the wrestler?


[User] Please transcribe this text

[Assistant] Why don't you listen to the dungeon master instead of them mouthing off all the time over here.


[User] Please transcribe this text

[Assistant] Well, I'd like to examine the bodies if I can.


[User] Please transcribe this text

[Assistant] I think that's a good idea. I think you should check this out. I am a total rube. Please.


[User] Please transcribe this text

[Assistant] Yeah, so I think this encounter is over. They left. They're gone. We can keep moving. Right?


[User] Please transcribe this text

[Assistant] But we have a mission to accomplish, which is to meet the Green Knight.


[User] Please transcribe this text

[Assistant] Okay, well, listen, I understand you're mad, sir. You've been through a lot.


[User] Please transcribe this text

[Assistant] You really wanted that fox. I have a feeling maybe that that fox had more meaning for you than it did just as a meal, but we're just trying to get by here. As I said, I'm a very practical guy, very pragmatic, and I just want you to join us for a meal and kind of calm down. Just relax.


[User] Please transcribe this text

[Assistant] I think there's a stealth skill. I have a stealth skill, yes. Some sort of roll. Go ahead and roll stealth. Yes, that would be a two. Can I re-roll with my virtue?


[User] Please transcribe this text

[Assistant] Well, I'm just, uh, wearing really bright colors. I'm wearing an orange jumpsuit with reflective patterns on it, and people are like, there's-


[User] Please transcribe this text

[Assistant] There's Willy in my eye too, yeaah. I can't, you know, when I open my eyes, it's just like blaring in people's faces. So everybody's like, oh, there's Willy right there. He's hiding behind the tree. He's trying to hide, but he's not doing a good job.


[User] Please transcribe this text

[Assistant] Into scampering off, leaving us alone. Cause we need to get moving, as I said before, this is in my character.


[User] Please transcribe this text

[Assistant] Okay, listen, Fox. First of all, you shouldn't be talking.


[User] Please transcribe this text

[Assistant] Because you're a fox and foxes don't talk. So logically speaking, this is nonsense. I don't particularly believe in magic. Okay, I'm a noble lord of the realm.


[User] Please transcribe this text

[Assistant] And I believe in reason and science. And what you are, Mr. Fox, is an abomination of science.


[User] Please transcribe this text

[Assistant] And the fact that you are here and pestering us and not giving us answers to our questions is, uh, is, is anathema to everything that I believe in. So you're gonna fess up, you're gonna answer our questions and you're gonna get out of our way.


[User] Please transcribe this text

[Assistant] Okay, great, great, great point of clarification. I want him to answer more questions before he goes. I need to know what's going on here.


[User] Please transcribe this text

[Assistant] I tried, listen, I tried to talk him into giving us some answers. We all tried.


[User] Please transcribe this text

[Assistant] Okay, well first of all, uh, yes it has been a year, you know, we don't have clocks or anything like that, but I'm pretty sure based on the cycles of the sun and the moon that it's been a year. Uhm, in terms of like this whole thing that's going on with like the green knight and you wanting to cut my head off or whatever, what if we didn't do that?


[User] Please transcribe this text

[Assistant] Okay, what if maybe we just like shook hands here, I learned my lesson, okay? I'm gonna persuade you and trick you into letting me- Pick one.


[User] Please transcribe this text

[Assistant] I think I'm gonna persuade him, okay? I learned my lesson.


[User] Please transcribe this text

[Assistant] I don't wanna talk as much as I used to before. You know how I bored you to death the last time? And you were like, I'm gonna, I'm gonna do that to you. When you come back, I'm gonna give you that blow again. I don't do that anymore, okay? This whole journey with the fox and letting those poor people get slaughtered.


[User] Please transcribe this text

[Assistant] I learned a valuable lesson about quitting when I'm, while I'm ahead, and not over, over, uh, communicating what I'm trying to say. Like, I've, I'm so good at not talking anymore.


[User] Please transcribe this text

[Assistant] That uhm, yeaah, as you can tell, I have truncated my speech, I'm more succinct in my communication, I think I'm generally a better person. And to continue on this track, I just want to say-


[User] Please transcribe this text

[Assistant] Okay that totally screws you up. But I was gonna say some nice words to him real quick.


[User] Please transcribe this text

[Assistant] So I'm gonna grease those palms and I'm gonna give the green knight a couple hundo to let him, uh, leave me be for the rest of my life.


[User] Please transcribe this text

[Assistant] So, up to you. This brings up a good point. My vice is lustful. Can I bed the green knight?


[User] Please transcribe this text

[Assistant] Yeah, of course, I would just like everybody to note that this was my first time playing this game and I was horrible at it.


[User] Please transcribe this text

[Assistant] But I will, I'm gonna buy this game. This is not an ad read. I know I sound like I'm always selling things, but I'm not here. I actually enjoyed this. This was a lot of fun. Thank you guys for coming on and educating me. And thank you to Jonah for, uh, giving us these beautiful dulcet tones that I didn't know he had in him.


[User] Please transcribe this text

[Assistant] That story was so riddled with inaccuracies and lies, uh, that they owe the president an apology.


[User] Please transcribe this text

[Assistant] Okay, I have a plus two intuition, so I want to, am I able to kind of determine whether he's crazy or not? Yeah, yeah, roll for me. Okay, alright.


[User] Please transcribe this text

[Assistant] Okay, uh, let's see, I have, uh, uh, trickery and performance. I mean...


[User] Please transcribe this text

[Assistant] Alright, alright, okay. So, let's see here. I'll roll, uh, 16.


[User] Please transcribe this text

[Assistant] We've been talking to this fox for a long time. I don't really know what else we can do about it. We keep on going in circles with this fox!


[User] Please transcribe this text

[Assistant] Let's ask the fox to join. If he says no, we leave. Whoa.


[User] Please transcribe this text

[Assistant] Elvis' manager, you play Elvis' manager. Yes, I do. Colonel Tom Parker. Yes. And, uh, we actually have a photo here of this is Colonel Tom, Elvis, and Ed Sullivan in this theater. Wow, how about that? Right? There you go. That's Colonel Tom, right?


[User] Please transcribe this text

[Assistant] How did he, like what's the, did he run any cons on Elvis? Did he?


[User] Please transcribe this text

[Assistant] Well, Amanda, it was lovely to meet you. Pleasure, my friend.


[User] Please transcribe this text

[Assistant] Uhm, I have one memory in like seventh grade.


[User] Please transcribe this text

[Assistant] And it was, I had been waiting like months to get a vape hoodie, like the full zip shark one.


[User] Please transcribe this text

[Assistant] Uh, there really was no idea behind it. It was just graphics that...


[User] Please transcribe this text

[Assistant] Or it seemed like relevant at the time. Was it supposed to be like a, like a skate brand at the time?


[User] Please transcribe this text

[Assistant] I don't really know what it was, I guess it was street wear, you know, to an extent, but it was just really...


[User] Please transcribe this text

[Assistant] It was streetwear. Yeah, it's just streetwear. Just different graphics and you flip it, put, you know, whatever you want to on there really. You mentioned Bape. What other brands were you into early on? The first brands was Bape, Ice Cream,


[User] Please transcribe this text

[Assistant] Middle school, let me see, the time I started making clothes, that was very like Kanye, Pharrell, all that cool shit.


[User] Please transcribe this text

[Assistant] At the time. And then Tony Hawk soundtracks.


[User] Please transcribe this text

[Assistant] Yeah, and I like the addicts because I had one friend, this kid named Carlos. He was like four feet tall and he was just super punk in middle school.


[User] Please transcribe this text

[Assistant] You gotta watch What's Up Rockers. What's that? It's basically...


[User] Please transcribe this text

[Assistant] They go up to Beverly Hills and like fuck these white bitches. Right. And that's pretty sick.


[User] Please transcribe this text

[Assistant] He got drunk and jumped through like 8 or 9 tables in one night and we caused like $15,000 worth of damage to this house and he had to pay for it all. So you drink a lot, you party a lot? Not really anymore. Really?


[User] Please transcribe this text

[Assistant] Same thing, he's just like, just like a bigger brother. Really? Really looks out.


[User] Please transcribe this text

[Assistant] And he's still like a chill ass person even after all the fame and everything? Yeah.


[User] Please transcribe this text

[Assistant] We would go to New York and work all night and then just sleep on his floor all day and then get up and keep working for like a week straight.


[User] Please transcribe this text

[Assistant] Actually, Yams was one of the first, he was the first person I had ever met out of entire ASAP. Really? Before Ian as well. Right, yeaah. And he just, that's when I was making t-shirts back then, and he was...


[User] Please transcribe this text

[Assistant] We had like that reunion when Ian brought me to Rocky's house in New York and we saw each other for the first time again in like a year and a half maybe and then we were just working real close on like


[User] Please transcribe this text

[Assistant] Merchandise and, uh, like artwork for the, for the new single Pretty Flocka 2. Right.


[User] Please transcribe this text

[Assistant] He had found, he had found out I was still asleep. This was my first time in London. This was the first morning in London that I got there. Right. I was asleep and he had...


[User] Please transcribe this text

[Assistant] He started just shaking me when I was asleep and he was saying like, telling me the news.


[User] Please transcribe this text

[Assistant] It was kind of unbelievable and he just kept shaking me like, yo, this shit just happened and then just kind of sat there in silence for a while.


[User] Please transcribe this text

[Assistant] You didn't even get slowed down by when he passed. You didn't, you didn't even. I mean, it was just a very silent room. Right. For a while. Like maybe 20 minutes. Like why would I? Just like damn.


[User] Please transcribe this text

[Assistant] I don't know, you just start to realize it's gonna happen regardless, so.


[User] Please transcribe this text

[Assistant] He had just randomly commented on the photo and said, tell me this, or give me this.


[User] Please transcribe this text

[Assistant] With the Adidas collab, it just became very mainstream and thanks to people like Ian and Rocky, like that shoe became very popular. So everyone just wants to affiliate Raph with this one fucking shoe that he did in 2014-15, but they don't know shit about where he started, like 90s and early 2000s. Like early 2000s, like his most...


[User] Please transcribe this text

[Assistant] Oh, he did two backspats. Something like that. I went to the one with the trapezoid. Okay.


[User] Please transcribe this text

[Assistant] And I just, it was just a mess. It was just a bunch of people.


[User] Please transcribe this text

[Assistant] Yeah, security wouldn't let, uh, one of us up. And then, next thing I know, he was swinging at the security guard. It's always the shit, huh? It's always the security, huh?


[User] Please transcribe this text

[Assistant] I took this kid's girlfriend from him. Do you do this a lot?


[User] Please transcribe this text

[Assistant] Maybe, I don't really pay attention to their boyfriends anymore, but at this point I was intentionally doing it and then I got punched in the face for it and I deserved it.


[User] Please transcribe this text

[Assistant] Yeah, like what was the last time that this happened to you? I've seen him take a girl straight from her boyfriend at a show once. Right in front of him. Yeah. See, that's why you might need a gun.


[User] Please transcribe this text

[Assistant] The three biggest Mexican kids in our middle school and they decided they wanted you because I taught them how to skateboard. I gave them three of my old skateboards. I used to say my skate decks and I just really looked up to them because they were like the hardest kids in the school and I was like


[User] Please transcribe this text

[Assistant] They liked me because I wore women's jeans and I wore like tiny t-shirts.


[User] Please transcribe this text

[Assistant] And then, I don't know, one day in the locker room they just kicked my ass and jumped me in the locker room. How bad?


[User] Please transcribe this text

[Assistant] It wasn't that bad. This was seventh grade, so I mean, there wasn't like, I don't think it's like high school jumping in. That's the difference.


[User] Please transcribe this text

[Assistant] One time I took them skateboarding and we were doing this like skating this force there under a roof. One of them for some reason just ollied so high like his first week skating, he hit his head on the roof and knocked himself out. Wow. Don't you wish you had footage of that? Imagine how many retweets you get off that?


[User] Please transcribe this text

[Assistant] I don't know, the youth thing? I think that applies to all the, you know, the teenagers


[User] Please transcribe this text

[Assistant] And all the young kids just starting brands spur of the moment just to match whatever is trending on social media, trying to get some money, but when you get a task that certain


[User] Please transcribe this text

[Assistant] You know, if I want to do a runway show with designers that are in their 50s and 60s, when I'm just titled as like, youth, I'm just another, I get considered as another one of those brands to where I'm really trying


[User] Please transcribe this text

[Assistant] Yeaah, that's actually a really good example. Cause I mean, they did start with just the same thing I started with. T-shirts, long sleeves, maybe hats.


[User] Please transcribe this text

[Assistant] You know, everyone starts there, but then they transition to full runway shows. You know, they're doing like crazy cut and sew collections, so.


[User] Please transcribe this text

[Assistant] Uhm, my friend Virgil, Virgil Hablo, he does a brand called Off-White, and it's nice talking to him too because he started with, you know, Pyrex, which was t-shirts. He's another example, somebody who's sort of transcended all that. T-shirts and, you know, those type of items, and he transitioned into


[User] Please transcribe this text

[Assistant] Paris and all that, you know, style.com, all that, so it's like.


[User] Please transcribe this text

[Assistant] Whenever I have a question, I just go to Virgil because I can actually trust him.


[User] Please transcribe this text

[Assistant] Did I? I'm not sure. No. I don't know. I don't know how I met Virgil to be honest.


[User] Please transcribe this text

[Assistant] He's very in touch with the kids who look up to him as well as the people who might need advice or something like that.


[User] Please transcribe this text

[Assistant] Don't try to wake up early, get some work done, you know, handle all my emails.


[User] Please transcribe this text

[Assistant] Me and my brother do ship all the orders just from my crib.


[User] Please transcribe this text

[Assistant] Crust punks or like the anarcho punks, those dudes, they got it down. They got it down.


[User] Please transcribe this text

[Assistant] They'll just be putting crazy shit around their waists, like, whether it's pouches or like...


[User] Please transcribe this text

[Assistant] If you ever heard of a bum flap, it's like this little keychain thing in the patch, so that's what I'd be on right now. You've been rocking butt claps.


[User] Please transcribe this text

[Assistant] That shit takes so long. It took me three days to do like half of a leg.


[User] Please transcribe this text

[Assistant] Yeah, I mean that's frustrating. That's like the most frustrating thing about it is that those people that are, you know,


[User] Please transcribe this text

[Assistant] Anarchy this and that don't really, you know.


[User] Please transcribe this text

[Assistant] They probably live with their parents and they have to be in by 11, so how could you even rebel against anything at that point?


[User] Please transcribe this text

[Assistant] I don't know, I just stick to what I like regardless.


[User] Please transcribe this text

[Assistant] They sent me a trailer and basically it involves like all the main like street wear heads, you know, fucked with Eric Granetti and I think Stussy, Supreme might have segments and like, you know, the other, all the Fairfax brands.


[User] Please transcribe this text

[Assistant] But they asked, I was actually invited to do it by Mega from Blackscale, who I very much look up to. Uhm, but they wanted to video me and I got too scared.


[User] Please transcribe this text

[Assistant] We went to the airport one time on the way to, we were doing the tour like heading to Arizona and all these little girls like maybe like 8 to 9 years old had just run up on him.


[User] Please transcribe this text

[Assistant] Everyone came and he had to tell them all no just cause you can't take a photo with everybody.


[User] Please transcribe this text

[Assistant] The Mojang Tech is very strong right now. No, Ian's. It's comparable to, I mean, I consider him


[User] Please transcribe this text

[Assistant] And then, Kanye, and then Ian. And then, I guess Pharrell.


[User] Please transcribe this text

[Assistant] There was one day when we were driving, uhm, to do, there's this magazine called The New Order.


[User] Please transcribe this text

[Assistant] And Ian was supposed to model this brand for an editorial to be in their print issue.


[User] Please transcribe this text

[Assistant] And we seen Esco just standing by himself on a corner of the street right in front of the liquor store. And he was just looking fly, so we pulled over.


[User] Please transcribe this text

[Assistant] I pretty much narrowed down my social media to my photography and just strictly midnight shit, but Instagram, Twitter, Shane Avelli, or ShaneGonzales.com. Okay.


[User] Please transcribe this text

[Assistant] No, I've been trying to get it for years, like probably since high school and then one day it just freed up.


[User] Please transcribe this text

[Assistant] Everybody. The first time I went to Soulja Boy's house, I walked in, there was a good


[User] Please transcribe this text

[Assistant] Nice sized bag of weed and about three guns on the table. Wow. And then a life sized cutout of Soldier Boy himself.


[User] Please transcribe this text

[Assistant] I have a friend named Kyle Pak who the first time he met Nicoletti, he fanned out.


[User] Please transcribe this text

[Assistant] Yes. He's been, I mean, he's been around everybody. He's, he's another designer. He's been around Kanye, Rocky, everybody. But when he met Nick Coletti, this was the first time he fanned out and he was speechless. He started stuttering, his face got red.


[User] Please transcribe this text

[Assistant] Uh, so today I'm really excited to talk to you all about leveraging social theories to enhance human interaction. Uh, let me make that a little bit more concrete to begin with. Uh, so I leverage theories about


[User] Please transcribe this text

[Assistant] An understanding of how people think, communicate, and collaborate to design effective and safe human AI interaction.


[User] Please transcribe this text

[Assistant] I'll share more about this as I answer three questions during this talk. What is an effective human AI partnership? How can we make human AI interactions safe?


[User] Please transcribe this text

[Assistant] Effectiveness to me is about combining people and AI in a way that takes advantage of what they're each good at. So I'm going to give you a very brief example of this for the setting of visual question and asking. Uhm, so not a deep dive, just a quick overview of what I mean here.


[User] Please transcribe this text

[Assistant] What color is this? Or what item is this? Because they can't see their environment, they're trying to get these answers by asking them online.


[User] Please transcribe this text

[Assistant] Now these questions with these images are fairly easy to answer, especially with recent advances in computer vision. But things can get tricky very quickly. Now visually impaired users can't always see the environment that they're taking a picture in, right? So they can share potentially sensitive content online.


[User] Please transcribe this text

[Assistant] So for example, someone might ask, which medication is this? And instead of just sharing the medication packet, right, they can share a prescription bottle with their name or their address on it. Or someone can share,


[User] Please transcribe this text

[Assistant] Right, now this task is really hard for people or AI to do on their own.


[User] Please transcribe this text

[Assistant] AI doesn't always understand what we mean when we say private or sensitive, so it can't automatically do this task. And people aren't a very reliable way of doing it either.


[User] Please transcribe this text

[Assistant] So to solve this problem in sort of a human AI effective partnership way,


[User] Please transcribe this text

[Assistant] Now people are really good at understanding context that AI isn't. So when I see a nose in that segment, I can sort of guess that that's probably a face in the surrounding segments and mark them, guess them as sensitive as well.


[User] Please transcribe this text

[Assistant] So that's what I mean when I say an effective human AI partnership. We started them with small segments and we progressively had them label larger segments that were already masked to get to this image on the bottom left that was then sent to third party Q&A websites to get answers to people's queries.


[User] Please transcribe this text

[Assistant] In all of these, the question that comes up next for me personally is, well, what about real world deployment? Right? We're trying to build these systems for research, but ultimately we want to put them in front of actual users in the wild.


[User] Please transcribe this text

[Assistant] Q&A, visual Q&A system that I just talked about, right, you have to consider bad actors. There might be crowd workers that would work together on a sort of forum and adversarially attack the system to get all of the image segments back from it. Right, so those things that you can't anticipate.


[User] Please transcribe this text

[Assistant] And now you might think, okay, that's a hypothetical, you know, bad thing that could happen. But there is a lot of evidence of how when human or AI systems are deployed in the wild, bad things can happen. Biases that we haven't considered or harms that we don't think about can come up in these settings.


[User] Please transcribe this text

[Assistant] And in my research, I try to bridge that delta between innovation and effective deployment in the real world by thinking about safety.


[User] Please transcribe this text

[Assistant] And then also trying to address those incompatibilities. And that's what I'm going to talk about next with sort of how do we make human AI interactions safe. But before I do that, any questions so far? I'm happy to answer clarifying questions as I go and then leave big questions for the end.


[User] Please transcribe this text

[Assistant] There are two major approaches to this. Uh, there are glass box models that are inherently interpretable where I'm very quickly able to tell how a set of input features leads to a predicted outcome.


[User] Please transcribe this text

[Assistant] With these approaches, you can normally get three types of visual outputs. So, say you were predicting income based on demographic data.


[User] Please transcribe this text

[Assistant] You could get a local explanation. This tells you how a single prediction was made. So on the y-axis here are values of a single individual, and then you can see how they shaped the final predicted class of income. Here it's zero, zero just means less than 50k income.


[User] Please transcribe this text

[Assistant] We followed this up with synthesizing these challenges into a data set and then running contextual inquiries to understand if people were able to use interpretability tools to resolve these challenges.


[User] Please transcribe this text

[Assistant] Unfortunately, what we found was that interpretability alone does not work.


[User] Please transcribe this text

[Assistant] So less than 4% of 197 data scientists in our study could accurately describe what these visual explanations could do or what they were trying to tell us, right? Uhm, most of them overestimated the capabilities of interpretability tools.


[User] Please transcribe this text

[Assistant] So here you can see on the y-axis various different capabilities of interpretability tools, and we had asked people to select all that apply to the tool that they were using in the study. Of these capabilities,


[User] Please transcribe this text

[Assistant] And as you can see, people assigned a lot more value


[User] Please transcribe this text

[Assistant] And some of these are things that are realistically not going to be possible for a long time, like automated detection of fairness issues. No tool is capable of automatically understanding all fairness issues in a system.


[User] Please transcribe this text

[Assistant] Now, again, like I said, we had synthesized some errors in the data, right? So as a result, one of the visuals that people saw was this.


[User] Please transcribe this text

[Assistant] Does not work. The solution that is intended to help make human AI systems safe for deployment doesn't quite work.


[User] Please transcribe this text

[Assistant] And that was sort of the question that we wanted to ask as well. And again, we wanted to study this in a, you know, we wanted to not just think of interpretability as a technical solution, but think of what social human-centered factors might be at play.


[User] Please transcribe this text

[Assistant] So people apply heuristics as shortcuts to make their decision making easier.


[User] Please transcribe this text

[Assistant] System one is sort of an automatic, intuitive and unconscious thinking mode. It's fast, but it can be error prone as a result.


[User] Please transcribe this text

[Assistant] System 2 is a more slow, controlled, analytical, and deliberate thinking mode. Uhm, it's reliable, but it requires significantly more cognitive effort.


[User] Please transcribe this text

[Assistant] And research in psychology and cognitive sciences found that people rely far more on system one than system two in their day to day lives.


[User] Please transcribe this text

[Assistant] So we wanna see wha- what does this look like for machine learning? How do you define bounded rationality for machine learning? Now this is where I have an example notebook that you're welcome to go to and try out sort of things on your own. I'll- I'll mention visuals that are important from that notebook here in a second, but again, you're welcome to play with that.


[User] Please transcribe this text

[Assistant] Okay, so that notebook will take you to an example of using the Titanic survival data set. Very important data set that tries to predict based on passenger info whether someone survived the Titanic or not.


[User] Please transcribe this text

[Assistant] And this on the bottom right is one single data point. So this is one passenger's information on the y-axis here. And you can see how each of those information pieces made an impact towards the final prediction of survival for this passenger.


[User] Please transcribe this text

[Assistant] What would make this prediction go from one, which is this passenger surviving, to zero? Not surviving.


[User] Please transcribe this text

[Assistant] You could change the age of the passenger from 37 to 70, or you could change the sex from male to female.


[User] Please transcribe this text

[Assistant] So which of these changes, or more than one, do you think would flip the prediction for this passenger on the bottom right to not surviving? They currently survived, but we're wanting them to not survive.


[User] Please transcribe this text

[Assistant] Feel free to discuss if you want, and we can come back in a second here.


[User] Please transcribe this text

[Assistant] Alright, nobody for one. How many of you think changing the fare will flip this prediction?


[User] Please transcribe this text

[Assistant] Maybe a couple here and there. How many of you think it's three?


[User] Please transcribe this text

[Assistant] Wow, that's the majority. Uhm, and how many of you think it's four?


[User] Please transcribe this text

[Assistant] A couple, okay. Alright, so like I said, we're making this passenger not survive the Titanic. Uhm, so, unfortunately for a lot of you,


[User] Please transcribe this text

[Assistant] Only one and two are accurate. Uhm, so one is a little bit hard to reason about unless you really care about the schematics of the Titanic and have done in-depth sort of deep dives into it, right? I don't know what cabin is where in the ship, so it's hard to reason about that, right? But it is accurate. I did run it.


[User] Please transcribe this text

[Assistant] Reduce the fare. This passenger potentially is in a lower class cabin, right, and lower class cabins were hit first. So you can reason about that. Three is also very easy to reason about.


[User] Please transcribe this text

[Assistant] Take any responsibility for what I say here. But in this case, for this passenger, uh, the age does not matter because the passenger class being first class was a mediating factor.


[User] Please transcribe this text

[Assistant] And then four is inaccurate because females survived the Titanic more than males did. So both three and four are actually inaccurate.


[User] Please transcribe this text

[Assistant] Now this exercise that we just did here, this type of applying your heuristics, right, to solve a problem,


[User] Please transcribe this text

[Assistant] We figured that data scientists do this all the time in the data and machine learning and AI use that they do in their jobs, right? So we wanted to see to what extent do data scientists


[User] Please transcribe this text

[Assistant] It's called maximizing your cognitive mode, right? And we felt that in the interpretability setting, given everything we know about overuse of interpretability tools, this would be the control condition without any interpretability.


[User] Please transcribe this text

[Assistant] Now, again, because of what we know about interpretability already, we felt like the opposite, where you don't spend a lot of time and cognitive effort in your decision making, the satisfying cognitive mode,


[User] Please transcribe this text

[Assistant] And then that's what I like to ca- call the optimizing cognitive mode, where you're spending a lot of time with the system and interacting with it and engaging with it, but it's not cognitively effortful. You're enjoying spending time with the system. So,


[User] Please transcribe this text

[Assistant] And there are tools that do that. So here's an example of Google's what-if tool. So using Google's what-if tool, you can bin color scatter plots using sort of different cohorts of data.


[User] Please transcribe this text

[Assistant] As you can see here, uh, you can also look at counterfactuals for a single data point. So you can kind of see what the nearest counterfactual is. You can see partial dependence plots for the feature relationship with the output.


[User] Please transcribe this text

[Assistant] And this is just under the data point editor. There are other tabs for performance and fairness metrics or, you know, different types of feature information that this interactive tool allows.


[User] Please transcribe this text

[Assistant] The setup is very similar to the Colab notebook that I shared with you all. Uhm, they could access code, they could write code, they could access any visuals they wanted. And in parallel, there was a Qualtrics setup. Qualtrics is a server platform.


[User] Please transcribe this text

[Assistant] Uhm, so they answered multiple choice questions about the data and the model on Qualtrics. We had also provided hints throughout the study because uhm, you know, in running a study you have to be careful about not making the task so cumbersome that participants can't solve it. So that was the high level setup. Any questions before I get into even more detail? Yes.


[User] Please transcribe this text

[Assistant] We did give them links to potential explanation outputs, but we did not give them the code. In the other notebooks, those explanation outputs were sort of embedded in the notebook by us already. The interpretability tools were already embedded in the control condition. If they wanted those types of outputs, then they would have to go.


[User] Please transcribe this text

[Assistant] But that's a good question that leads into the results a little bit. All right.


[User] Please transcribe this text

[Assistant] So to study bounded rationality, to measure whether it was happening, right, we had some proxies. There were process level proxies that we wanted to measure. These were


[User] Please transcribe this text

[Assistant] Predictably time and cognitive effort which have been, you know, all about the axes that we had designed to begin with. We also included the number of hints people used during the study as a way of measuring whether they were applying bounded rationality.


[User] Please transcribe this text

[Assistant] And then of course, there's the outcome, right? What happens as a result of the application of bounded rationality in the setting. So these were things like the accuracy of people's answers about the data in the model.


[User] Please transcribe this text

[Assistant] So to study our continuous variables, we used one-way ANOVAs and Tukey HSD as a post-hoc test to study them quantitatively. Uhm, and then for our categorical variable, we used chi-squared, test of independence.


[User] Please transcribe this text

[Assistant] Now as you can see here, people in the control condition spent far more time on the task significantly more than any of the interpretability conditions.


[User] Please transcribe this text

[Assistant] So just as a basic thing, it seemed like, you know, people in the interpretability conditions spending less than five minutes on task were clearly applying some way to make the task go faster compared to a control condition without any interpretability.


[User] Please transcribe this text

[Assistant] Now, maybe somewhat as a consequence of that, for accuracy, control also had the best numbers. People in the control condition were at least 17% more accurate than those in the interpretability conditions. Um, interpretability tools, whether they were static or interactive, did not seem to help. Yes?


[User] Please transcribe this text

[Assistant] And then of course, if you look at the residuals from our chi-squared test, they also showed the sort of significant directionality of people in the control condition picking accurate answers compared to the other conditions which leaned more towards, uhm, the other types of answers.


[User] Please transcribe this text

[Assistant] So overall, our results from our experiment, uh, just to sort of mention them in the context of this quadrant that we started with, uhm,


[User] Please transcribe this text

[Assistant] What was surprising was the interactive tools conditions. We, we had expected that people would spend more time on task and maybe get to more accurate answers using these interactive tools. But in practice, these sort of fell in the surviving quadrant instead.


[User] Please transcribe this text

[Assistant] Uhm, and I'll expl- I'll mention my hypothesis why, right? So for the static tools, we had thought these make things look so easy in the form of just these static visuals that people end up applying their cognitive heuristics instead.


[User] Please transcribe this text

[Assistant] For the interactive tools, it was the opposite. They are so complicated. There are so many features, so many toggles, so many interactive elements, right, all coming at you at once, that people applied their own heuristics as a way of not doing this cognitively burdensome task.


[User] Please transcribe this text

[Assistant] Instead, our control condition seems to be more closer to optimally effortful than we had expected. And I think this is because of the question you asked before, where people did want interpretable outputs, right? And they would have had to read documentation and write code to do it.


[User] Please transcribe this text

[Assistant] So that's why we feel it was maybe closer to that optimally effortful condition that we were hoping interpretability would be.


[User] Please transcribe this text

[Assistant] I wanna do another quick pause there if anyone has any thoughts, comments, questions.


[User] Please transcribe this text

[Assistant] So it was different in that we did not want to give them the same tool as the other conditions because those were heavy duty full sort of feature interpretability tools that would have required a significant amount of work on their part. Instead we gave them


[User] Please transcribe this text

[Assistant] Uhm, well I guess we didn't really get into, since the conditions were randomly assigned, we didn't really ask about specific tools that people had used before, but,


[User] Please transcribe this text

[Assistant] So whatever inferences they made about that training, about the tool, through that training.


[User] Please transcribe this text

[Assistant] What we cared about was in the tool design. Like are these types of tools, tools that are visual outputs of a certain kind, maybe made more interactive? What can we do on that axis of tool design?


[User] Please transcribe this text

[Assistant] On the tool axis that you mentioned, the first one, not the second one, because no matter what specific tool you use, these are the three, maybe another couple more types of explanations that you get from all of them. They might be presented in slightly different ways, but the kind of heart of the information being presented is the same as these tools.


[User] Please transcribe this text

[Assistant] Uhm, I think it's somewhere in the middle where, at least in the paper about this, we talk about potential strategies, right, because uhm, you're right that


[User] Please transcribe this text

[Assistant] So this is where we were looking for inspiration outside of technical fields entirely, right? We try to see what human factors might be relevant, how do we re-envision interpretability and explainability so that these human factors are part of the conversation from the get-go.


[User] Please transcribe this text

[Assistant] Now, you might ask, why organizations? What do organizations have to do with any of this, right?


[User] Please transcribe this text

[Assistant] Uhm, organizations form when there's a need to collectively process information. At their heart, there's sort of systems of information exchange where you work not only on your individual task, right, but you also work in teams. So you have to understand the tasks together as a team. There's a lot of shared meaning making happening.


[User] Please transcribe this text

[Assistant] And you work across the organization in different teams that all have the same goals. So if there's some way in which organizations have managed to handle the intricacies of human sense making and cognition and still kind of be successful, there might be something there that we could learn from.