SPEAKER_00: I did that in Google Docs. We'll get to that in a second, but I just pasted that in here. Okay. This is a performance review for Greg. Right. Written by Google's AI. I'm going to show you that. And so I basically, I pasted it in here and basically you can see it did an AI detection. Of course, there's a hundred percent of it was written by AI.

SPEAKER_06: Oh, wow. How does it know that? This Week in Startups is brought to you by Lemon.io. Get access to Lemon Hire, a platform with more than 80,000 pre-vetted engineers that you can interview within 48 hours. Get $2,000 off your first hire at Lemon.io slash hire today. Codecademy. Build the future you want to see with Codecademy. Codecademy Pro helps you learn everything you'll need to shape what comes next in the tech space. Try it free for 14 days. Visit Codecademy.com slash twist. And NetSuite. Once your business gets to a certain size, the cracks start to emerge. Things you used to do in a day, take a week. You deserve a customized solution. And that's NetSuite. Learn more when you download NetSuite's popular KPI checklist, absolutely free at NetSuite.com slash twist.

SPEAKER_11: All right, everybody. Welcome back to This Week in Startups. Sorry we didn't have a Monday Madra for you. I am traveling all over the globe. And we had to tape our AI segment and our demos for you later in the week. But Sunny Madra is back. Welcome back to the show. Sunny Madra. Good to be back. Yes. Awesome. Sorry about the delay here.

SPEAKER_14: How's the travel been? I'm traveling. How's the travel been? Take care. Give us a-

SPEAKER_11: Pretty fantastic. You know, I'm learning a lot. And it's been really a great eye-opening trip. Had a lot of conversations, you know, staying up till 1 a.m. talking about technology and venture capital and politics and geopolitics and the pod and everything. It's just crazy.

SPEAKER_17: And what's been the mix between founders, investors, and fans? Like, how does that-

SPEAKER_10: What's the mix? Uh, pretty- pretty interesting. I have to say, you know, I get- when I come to an industry event here, because, you know, Americans are not in Saudi or UAE, Dubai, Abu Dhabi

SPEAKER_11: all the time, I get, you know, a hero's welcome and a lot of selfies and then just tons of requests to meet. So, I've been meeting with a lot of interesting companies. I met with my new favorite startup. It's called Breadfast. Okay. Breadfast. Get it like breakfast. Okay. Yeah. But it's

SPEAKER_25: Breadfast. Yeah. It's Uber for bread. It's the greatest- No way. Brand name ever. Once you hear Breadfast, you can never get this name out of your brain. Yeah. Because it's breakfast, but it's

SPEAKER_24: Breadfast. Wow. And the bread, Sunny, comes fast like an Uber. Fast. So, basically,

SPEAKER_28: they partner up, like, with local bakeries and get you your favorite- I- I think they

SPEAKER_25: are the bakery. Oh, they are the bakery. And they're the Uber lair. So, they get you your, uh, bread fast. Breadfast. And so, I met the founder. They're doing like a hundred

SPEAKER_11: million in bread in the region. What? And, um, yeah. And then he asked me, oh, where you're staying? And I told him where I'm staying. And then at like eight in the morning, I can knock on my hotel room door. They give me three giant shopping bags full of every possible amount of bread. You know, so I have a little bread and, uh, you know, I had a little chocolate croissant. And then I gave my driver, I got a driver here when I'm in the region. Um, and, uh, I gave him eggs and bread. He was really happy. Uh, quite charming. Um, so shout out to, uh, all the founders I've been meeting with. And, uh, yeah, the, there's tons of LPs out here, family offices. The family offices are absurdly sophisticated. Uh, you know, these are like family offices that have been running 50 years since the inception of the region. So they've been building real grinded out businesses, like operationally hard businesses to like build a nation, like concrete and gas and oil and Pepsi and money transfer. You know, it's just, it's been really eyeopening and the, the amount of change going on here, social change, economic change, uh, political change. Everything is just wild to watch. It is graffiti behind you. Yeah. Well, I mean, uh, I'm in a really cool co-working space in Riyadh called the garage that houses 150 startups. I kid you not. And I'm walking around here. This is,

SPEAKER_42: uh, yeah. And this is not like a fake thing. Like they're, they're here working, you know, and taking selfies with me, you know, there's 35 million people in Saudi and they're really well

SPEAKER_11: healed customers with a really high ARPU, uh, the average revenue per user and, uh, UAE same thing, you know, it's smaller, but a lot of revenue. And then you get places like Egypt with a hundred million customers, uh, which is waiting there to, to engage with products and the American companies don't come here that quick. So, you know, there'll be a local buy now, pay later. That's doing incredibly well. There'll be firms that come here. You know, I don't wanna say copycats, but they'll build localized versions of other ideas from around the world. Yeah. Kareem being the delivery service here, but then they put a spin on it. So like cream, the local service here is like a super app. You can press a button and have your apartment or house clean. So like that whole Uber for cleaning your house, like that exists here. Right. So they, they kind of add to, uh, the mix and, um, yeah, tremendous. The startups here and the founders are

SPEAKER_10: kind of like, I would say, New York in the nineties, if I had to pick, you know, like an emerging market like that, where then, you know, the second decade, you see like, you know, really big companies come out of it. And the third decade, giant companies come out of it. It's kind of like

SPEAKER_11: Australia is now, you know, uh, or maybe before Atlassian, that kind of situation. Yeah. So it's, it's going to be a big story. The startups coming out of here, the investment coming out of here,

SPEAKER_10: it's, it'll be the number two region for venture capital investment and backing venture capital

SPEAKER_28: funds within 10 years. I predict. Do you say like North America, Middle East, Europe,

SPEAKER_42: that's what it'll become then Asia. That'll be the order. Yeah. And I think Europe is like,

SPEAKER_11: just not going to, with the exception of like Sweden, you know, and I just think they're just not as hungry. Um, and the growth in population is occurring in Asia, Southeast Asia, Africa, North Africa. So if, if that's where all the growth of customer is and those, many of those markets are what they call, uh, emerging frontier markets. Yep. And then above

SPEAKER_25: that is emerging markets. Those are the markets that really like, you know, if you invest in and you put products and services in those markets, you're going to grow with those markets as they

SPEAKER_54: adopt technology. And that's the sweet spot too. That's the sweet spot. There you go.

SPEAKER_10: So it's, um, it's, uh, I, you know, I'm, I'm not investing in any of these regions yet. Uh, it's not part of our mandate yet. Uh, but you know, the, the, uh, amount of interest,

SPEAKER_11: you know, this week in startups, incredibly popular over there. People watch this episode, uh, a couple of people specifically mentioned the AI demos and they love them. So let's get to it.

SPEAKER_00: You mean, yeah, let's do it. Awesome. All right. Okay. So we've got some great demos lined up today. We're going to start with something that's boring, but important. Um, and it's called legal now, especially, you know, we're talking startups, we're talking building companies. And one of the things that Silicon Valley law firms have done for a while is definitely partner with startups to kind of give you the package of goods. And the thing I've seen is current iteration is that still get that done, but you know, firms are still pricey and it still costs you significant amount of money to get set up. And sometimes you use some template things. And so this company is called, you know, legal now.xyz powered by AI. And you know, you buy yourself the credits and they've got some pre-templated documents that can be created for you. Employment agreements for interns, like an equity incentive plan, terms of use, privacy policies, NDAs. You've done all these things before, right? Sales agreements as agreements. Yeah. And so I did one earlier here. I had this like internship agreement, right? The summer is going to roll around pretty quick. We want to get interns. And so basically it gives you the template here. You fill in the name of the company, the effective dates, and basically it spits out the document for you with all the pieces that you need and you're off

SPEAKER_10: to the races. So, um, there have been templated sites like legal zoom as an example. So how do you feel this is different and using, you know, AI to do this? Yeah. I mean, uh, fundamentally and like, you

SPEAKER_00: know, I thought the same thing when I was looking at it, it's a cost thing. And so, you know, legal zoom is great, uh, still way cheaper than using, uh, you know, like a Silicon Valley law firm, but this brings it down and this lets you iterate it a little bit more, which I thought was, you know, pretty interesting. And you can basically ask for more edits through their AI, um, like assistant here as well. And so you can kind of tune it a bit more, like it's not a straight template. That's what you'd sort of get out of legal zoom. It allows you to sort of modify it for your use cases, which I

SPEAKER_11: think is helpful. Yeah. Awesome. Yeah. I mean, a shout out to the legal now team. Uh, this is going

SPEAKER_10: to get more and more interesting. The thing I would love to see is upload all of your legal documents to a service like this and tell me, explain them to me, teach me what this means. You know,

SPEAKER_71: I think you could do that with Claude, you know, if you uploaded a legal document, Hey, you're a lawyer explain in bullet points to your client, what each of these segments mean. And, you know, I think,

SPEAKER_10: do you think you need a vertical AI to do this or a general language model to do it? Well, because

SPEAKER_27: legal stuff has big ramifications. Yeah. I mean, you know, the interesting thing is there was some data that came out of one of the partners of open AI, the open AI funded this

SPEAKER_00: company called Harvey and one of their partners, like a large accounting slash legal firm. They basically posted the amount of savings are getting by leveraging AI. And so what that says to me is, and that's built on open AI. So I think what you really want to do for these use cases right now is start with a, you know, a large frontier model, like open AI, and then give it some fine tuning

SPEAKER_27: information that you can, and then go from there. You don't have to start kind of from scratch and

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SPEAKER_00: confidence at lemon.io slash hire. I've got another demo queued up for next week because I don't have it ready here, which will do what you're saying, but for your company documents. So all your financing

SPEAKER_27: documents and everything else. And so, yeah, it's going to be very, yeah, we're very excited to

SPEAKER_84: share that. I mean, look for errors, look for things that contradict each other.

SPEAKER_27: Just explain things as well. Like, you know, tell me like the, what share classes exist and who owns

SPEAKER_00: how much and all that kind of stuff. So it's very cool. We'll have that up for next week, but very excited. So let's go to the next one here. All right. So the next one is I, I really liked a lot. Um, and it's, it's interesting because we're going to kind of flip back and forth between startups and some big company stuff today. So this one is called rose.com. Think of it as a, uh, like an online spreadsheet, like Google sheets is. It looks like Google sheets. Yeah. Yeah, exactly. But it has AI built into it. So you have this like little tab here. And so, you know, I just got like a, a CSV of some sales data. Okay. The standard one that you use for testing and things like that. I just inserted it into here and off the top it, like you, you hit this like little button right here, the AI analyst

David Friedberg: button. Yeah. Everybody uses this little like diamonds or stars in the sky as the AI button.

SPEAKER_10: Now, I don't know how that became the standard, but it's like a twinkling star. Uh, but yeah,

SPEAKER_27: I don't know. It's like kind of magic, right? Is it maybe, maybe it looks like, maybe it looks like

SPEAKER_00: magic, right? Yeah, sure. And so what this does here on its own, it does some quick insights, right? So without me doing anything, total number of units sold, average price, maximum unit cost, minimum revenue. And then it gives you some other deep dives you can do. So you can do deep dives by region. And this is all stuff it's doing on its own. And then it has like a text box here. We can ask questions. You can say was the earliest sale. Right. And so, um, it'll kind of analyze the

SPEAKER_27: table and they'll come back with that results. And so I got that one wrong, but, uh, or maybe the

SPEAKER_99: earliest order date, you know, what is the earliest, uh, order date. I love that it's

SPEAKER_102: anticipating with the quick insights, other questions you might ask the maximum unit price, the minimum use of size, the average user price. This is where, you know, look, the idea is good.

SPEAKER_27: Right. And, um, you know, and you might have data in there too. Yeah. Yeah. Maybe there's, I don't think so. Cause this is like a well published thing. So we'll have, we'll have to ask these guys

SPEAKER_99: to comment on it. Right. Or, okay. What, uh, let's, is the maximum number of units sold.

SPEAKER_105: Um, let's see if it kicks that one out for us, but yeah, there we go. So that one kind of came

SPEAKER_03: on nine. Maximum number of units sold was 9,000. Yeah. And if you said, which month had the highest sales,

SPEAKER_109: you know, people like to know that question all the time from sales data, the highest sales.

SPEAKER_113: Um, yeah, it'd be interesting. I guess that. Yeah. Show me the table showing the month of the highest sales. So this kicked out down here, which is fascinating. So we can say insert table. And so, oh, no, I got, I got that wrong. But the idea here is, you know, a couple fold,

SPEAKER_00: like one, you know, this is near and dear to us. Like we do this for very, very large data sets. So not spreadsheet kind of style, but like, you're talking about definitive intelligence.

SPEAKER_27: Sure. Yeah, exactly. Yeah, exactly. So we don't do it like on a spreadsheet level,

SPEAKER_00: we do it like on a data warehouse level, but you know, this is a really interesting problem. It's becoming more and more relevant for folks that have data. And I think if you're

SPEAKER_27: dealing with spreadsheets, like something like this is, is the way to, way to go for it.

SPEAKER_11: And so I give this a C it's, you know, it's not working too well yet. I give legal now, like a C plus it's interesting. Maybe a B minus, what did you give it?

SPEAKER_00: You know, funny enough, I used it. So because I use it, I'm going to give it a B plus. Yeah. There was like a piece of documentation I needed for definitive. And I said, oh, I just kicked

SPEAKER_27: it out of there. And, and it worked very related to the demo I showed you. So for, for an intern, we're hiring, I said, well, you know, why should we go in? Yeah. And so I'm going to give it that sounds like a low risk. Yeah. This is a very hard problem. Their UI and everything is excellent. But like, yeah, like you saw here, there are some things that aren't working, but Rose,

SPEAKER_102: you know, I think it was dot com, not Rose as in R O S E in the flower, but Rose as in columns and

SPEAKER_127: rows. Yeah. Got it. Great domain name, by the way, shout out to the rose.com team for getting a four letter domain name in the dictionary. Yeah. A quarter million dollar domain name.

SPEAKER_00: Yeah. Wow. That's great. I like the UI. I like how they anticipated things. So, but you know, they didn't get things to work. So I think with that, we have to give them a C, but, um, you know,

SPEAKER_27: they ever say they can come back and they can improve it. So yeah, that's what I'm gonna go

SPEAKER_00: to our next one, which I find this one really important because when I get things in my inbox, now I'm starting to get suspicious if it was written by AI or not.

SPEAKER_137: Yeah. And so I have this problem right now. A lot of my replies on X, I feel like they were written

SPEAKER_00: by an AI bot. So this is called originality.ai. In fact, one of the next demos, I created a performance review and I did that in Google docs. We'll get to that in a second, but I just pasted

SPEAKER_55: that in here. Okay. So this is a review. This is a performance review for Greg.

SPEAKER_00: Right. Written by Google's AI. I'm going to show you this. Yep. And, um, and so I basically, I pasted it in here and basically you can see it did a AI detection scores is a hundred percent of

SPEAKER_05: it was written by AI. Oh, wow. Yeah. How does it know that? So you put in something from

SPEAKER_142: chat GPT four and it figured it out. Yeah. Well, this was from Google,

SPEAKER_00: it wasn't from chat GPT. So, but yeah, but it, it was from an AI writer and it put it in here and it detected it and, um, you know, it costs four credits. And so there's been a lot of published research because this has been a big problem since the release of chat GPT. And so a number of folks have written papers and, uh, methods that can be used to determine if AI is being used. And my guess is because, you know, we've talked about this a few times, the underlying, um, data sources that came to provide, uh, the core of the training material are open source. If you use a model that has like majority of that, I'm sure you can kind of figure out that this has been written by, by an AI, because you'll, you can kind of see the same patterns. So my guess is they're using AI to

SPEAKER_147: detect that this was written by AI. Uh, they're using AI to detect it. And so we, we don't actually

SPEAKER_28: know how it's doing it. It's said another way. I mean, those from them, maybe we could have them come in and talk about it. So I don't want to speak about their technology in too much detail.

SPEAKER_73: They don't have a lot of details. They have anything else on this one? No, it's just like AI detector. Yeah. I just, yeah. I mean, I'm giving it a B plus, I think,

SPEAKER_63: I mean, I would like to know how it works, but it looks like it works. So yeah, it does what it says it does. So what more do I have to give it? It's like a single purpose. I just want to give a shout

SPEAKER_155: out to our friends over at open AI. Look, I did a, I asked it to give me a performance review for cousin Greg from the session. Did you read the session? Did you watch the session? No, I haven't watched it yet. Oh, okay. Cousin Greg's like a bumbling idiot, you know, trust on kid. And look, adaptability fair demonstrates learning curve and adapting to the corporate culture of Waystar or Royco communication needs improvement, often struggles with clear and professional communication prone to nervous rambling, which is true on the show. Yeah. Um, judgment exhibits growth in fair exhibits growth in judgment, but still displays naivete in certain strategic situations. I mean, uh, pretty, um, professionalism lacks traditional core professional, however, shows authenticity and interactions. That's pretty good. This is pretty great. I don't know if producer Nick is here. He's a big fan of succession and cousin Greg. What do you think, Nick?

SPEAKER_162: I think a big theme of this show is how much better chat GPT is than every other product that's out there right now. At least that's what it sort of feels like to me. Like it feels like chat GPT can do a lot of things better than verticalized AI tools by themselves. And I wonder if there's like a, I don't know, I guess you could call it like a Kanye West problem going on where, and this is pretty crazy Kanye. Like everybody was always dubious about taking beats from Kanye, although, cause he was the world's best producer, but you were always getting his like B material when you were using his beat. Cause he would always use his best beats for himself. And Sonny, I'm curious, like, do you think that open AI is using their best version of GPT, whatever that is for their own models and whatever they're letting people build on is sort of, uh, not nerfed, but like slightly worse version of the model that they're using themselves? Like,

SPEAKER_27: will they always have an advantage? Well, you know, it's interesting. I was at a dinner last night. We were talking about this kind of from a different perspective when you're using models, right? Um, there's two things that are happening and I'll get around to your answer long winded,

SPEAKER_00: I think it's important for everyone to understand when you go to non GPT models that you're using directly like llama or something like that, you're basically interacting with the model itself. When you use open AI, you're actually interacting with an API and that API could be doing, and is definitely doing a lot of things beyond what the model can do, right? And you know, one of the things is that, um, for GPT four, it's, I think it's well agreed that it's a mixture of experts models. So it's not a single model. There's a few models underneath the API, and that gets kind of the request gets forwarded to the appropriate one. And so, um, that's one of the things that you may be seeing just in the general use of GPT four versus other models that are out there now, specifically to your question around, like when you use the API versus you use the chat, I do think that you're getting different versions. Um, because the APIs get locked to specific model numbers and versions, and you see that when you're developing with it. So I would guess that the latest and greatest are always out in their consumer offerings because the terms of service

SPEAKER_27: and the level of service are different than what they have to offer in the APIs.

SPEAKER_25: So that's a long-winded way of saying, yes, you're getting some different version of it and

SPEAKER_10: they, who knows, maybe they could be saying bagging. Yeah. Yeah. Yeah. Yeah. What did you give?

SPEAKER_00: Did you give a grade there? I out of all, I've tried a few of these different ones. I I'm going to give this one like a B plus. Like, I, I mean, I don't know what, like, it's just, it's a, you know, it's cumbersome. You got to copy and paste, but I, I hope the, you know, folks that are out there that need to deal with this can use it. I don't know what else it could do to be better. Um, maybe it should just be like a plugin or something. Well, yeah, if it was a plugin and when you were surfing

SPEAKER_71: the web, if it told you and showed you, but that would require a lot of processing power, you'd be

SPEAKER_175: processing everything, everything. Yeah. Maybe just so you were like in your Gmail or something

David Friedberg: editor at the New York times, it would be kind of cool if when you were on your computer editing

SPEAKER_10: things, it was always showing you in the CMS, if it was edited or making it better. Yeah. You know, kind of like grammarly is always looking at any editing I'm doing and working on it. So that's going to be kind of an interesting thing that if everything you're looking at is being

SPEAKER_67: processed by AI in real time. Yeah, but it could embed in a model that runs on your machine. Like

SPEAKER_73: you don't have to go to GPT four, right? They could take a smaller model, embed it locally on your machine and it's running on your machine locally. So I never thought about that. What if AI was running,

SPEAKER_10: you know, like the co-pilot when I was surfing the web, what could you do? Like, what would you want to do if it was telling you this was plagiarized? That'd be kind of interesting. Or if it's telling you like another person who disagrees with this point or other people talking about this topic or if it thinks there's a fact wrong. So that'd be really interesting. Like if I'm surfing a New York Times story and it's like, I think this is wrong, or I think this is biased language, kind

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SPEAKER_190: free for 14 days. That's Codecademy.com slash twist. There's a rumor that like the next Mac

SPEAKER_00: book that's coming out or MacBook Pro is coming, I think with like 32 or 64 GPU cores. Did you see that,

SPEAKER_27: Nick? Probably tracking it more than I am, right? I saw it yesterday. I saw that there's a big last

SPEAKER_162: minute Apple announcement that's coming on October 30th and they're doing it at night and nobody knows what's going on. Yeah, I saw that at 5 PM. Why are they doing it at 5 PM? 5 PM Pacific too,

SPEAKER_10: primetime Eastern. With 8 PM. I wonder if it's something to do with like a live sports network or something, you know how they've been talking about maybe doing some deals with sports networks. So I wonder if it's something entertainment related. Is there anything going on that night in sports?

David Friedberg: Like I'll check right now. It would be a lead into because if there's like, I don't know if it was TNT NBA, maybe they're making an announcement about the NBA. That started yesterday though.

SPEAKER_186: That started yesterday for us. The first game of the season was yesterday. Yeah. The Knicks were playing today. So tonight. Yeah. Can't wait. Shout out to my Knicks. Yeah. Apple already has an

SPEAKER_200: MLS deal and an MLB deal for baseball and American soccer. But the NBA season is starting. So is this

David Friedberg: happening this week or next week? This is next week. It's next Monday. Next Monday. This upcoming

SPEAKER_201: Monday. Next Monday. Hmm. Monday night football. Could be. Could be Monday night football related.

SPEAKER_42: I wonder if they're going to announce some sort of NFL deal or something. Well, you know that, I think their glasses are coming out in the new year, right? You're going to be able to buy

SPEAKER_204: their glasses in the first quarter. Is that right? The goggles. Yeah. The vision program. The vision goggles. Yeah. Yeah. That'll be first quarter for three grand. By the way,

SPEAKER_71: I got the iPhone 15. Yeah, me too. Yep. I'm kind of liking it. The USB C. The USB C. I never like, this is the level of like pathetic, but it really is a game changer to carry one cable and not be

SPEAKER_204: like going around looking for two cables that that's where we're at with technology today. But boy,

SPEAKER_71: does the new operating system and the new processor feel snappy. I don't know if I, you know, or maybe my old phone didn't feel I snappy in the battery life feels a little better. I like this new, there's a little thing up top, um, where the camera is the front facing camera. Did you notice it puts like logos in there? Like if you're watching CNBC, put the dynamic island. Yeah. But

SPEAKER_217: what did you upgrade from? So you've been missing. Cause I had the 14. So the dynamic island. What do

SPEAKER_218: they call that thing? The dynamic island. Well, you know, try it with Uber. So the apps that do it

SPEAKER_219: the best are Uber, Uber Eats. So shout out, you know, to your thing. Shout out Uber Eats. Yeah.

SPEAKER_00: Exactly. Exactly. Um, United, United airlines. When you're on United, it will tell you the gate

SPEAKER_224: up there and then a countdown to your, it is the most amazing thing of all time. It's my favorite

SPEAKER_225: thing ever. It's amazing. They literally thought that is, they give you a countdown clock to when

SPEAKER_227: your flight starts your little gate, gate F2 and then count down to your boarding. They're just

SPEAKER_10: literally like, what are you opening up and looking at all the time? Yeah. The gate anxiety. They just,

SPEAKER_230: they got you on the gate anxiety. We got you. Yeah. Yeah. Um, and then when you're flying,

SPEAKER_00: it has a reverse countdown. You can kind of see like, uh, how long to your destination. Like,

SPEAKER_42: so it's like counts down. I don't know if you saw this trending on Twitter, but the woman who worked at, um, Twitter, Jessica, I'm forgetting her last name right now. Uh, she was on

SPEAKER_01: that flight. I was going into Seattle, Alaska airlines where a co-pilot in the jump seat. Oh yeah. I tried to turn the, uh, engines on all the engines. Yeah. Did you see the arrest?

SPEAKER_88: Yeah. It was big news. Uh, you know, locally here. It was huge on the news.

SPEAKER_63: It was big news on the west coast. This crazy guy, uh, this pilot just decided he would, yeah,

SPEAKER_11: Jessica Verrilli. I know her sister because she does the all in meetups in, uh, the bay area. And she was on this flight with her two kids and an off duty Alaska airline pilot was

SPEAKER_63: booked into jail on 83 attempted murder charges after he allegedly tried to shut off the engines.

SPEAKER_236: Yeah. San Francisco bound plane. Yeah. Oh my God.

SPEAKER_00: And then the pilots apparently like tackled them and then they put those, uh, you know, wrists, restraints. Yeah. Zip tied them. Yeah, exactly.

SPEAKER_68: Yeah. Yeah. I'm trying to let anybody know, man, I'm, I'm a child of nine 11. Anybody tries any,

SPEAKER_239: anything on my plane, you're done. Yeah. I'm taking you down. It's I'm literally,

SPEAKER_62: I'm the first guy getting up. Let's roll the Taekwondo, a picture of Jake. No,

SPEAKER_239: I'm just let's I'm team. Let's roll. Anybody tries to any shenanigans on my flight with my kids. Let's roll. No way. And I'm counting by the way, if you get saucy with the flight attendant and you decide that you're going to like get into it with the flight attendant. I'm, I'm, I'm the first dad getting up. Yeah. You know, the dad who gets up. Yeah. On the video, on the tick tock video, who tells them the person to sit down and shut up. Yeah. That's me. That's my first dad. Yeah.

SPEAKER_247: Let's go. Gotta, gotta be that way. No, not on flights. Not anymore. I don't understand what's

SPEAKER_239: going on. I understand during COVID people lost their minds, but listen, Hey everybody,

SPEAKER_180: it's three years after COVID. No, you get on a flight, you behave yourself. That's it. I don't want to hear anybody saucy with the flight attendant. I don't want to hear anybody. I was at an Emirates out here right next to me in first class. He's pounding scotch like it's iced tea. Right. He's on his third double. I never saw this in my life. The flight attendant said, listen, and I certainly never saw this in business class. Yeah. I said, listen, I don't want to give you enough. Yeah. Like shaking his glass kind of situation. You know, the guy shaking the glass.

SPEAKER_71: Terrible. Yeah. Yeah. Yeah. And he's like, you need another one. The guy's like, listen, I don't want to give you another one right now. You've had three and I hear the number three. I'm like,

SPEAKER_230: am I going to really have to tell this guy? Am I have to go into dad mode and tell the guy, listen,

SPEAKER_261: yeah. Time for a 17 hour flight too. That was exactly what I was thinking. We were, we were in

SPEAKER_262: hour two of a 17 hour flight and I get him a diaper. Look, there it goes again. I held up my peace sign

SPEAKER_230: and I got a bunch of balloons in the AI. Yeah. Maybe that's the sign for balloons. Try it.

SPEAKER_267: Now it's not. I've seen it come up a couple of times. Yeah. Who knows? All right. Let's keep going.

SPEAKER_27: Just one thing on the Apple thing. This was the, um, the announcement I was talking about. So

SPEAKER_00: looks like M three, um, max and M three pro are going to have 16 and 40 GPU cores. What can you

SPEAKER_271: do with that? Should I put tires on my MacBook pro and have it drive itself around town? I mean, I think you can start running. That's an absurd amount of processing power. Maybe,

SPEAKER_62: maybe if we want to do a little speculation, a little speculation could be a little local AI.

SPEAKER_10: Apple so far behind that maybe they think, you know, the problem with Apple and you see this

SPEAKER_71: with goggles is in the race of like, don't worry, be crappy and get the product out there. Apple doesn't play. Don't worry. Be crappy. That's not their game. Yeah. They want to do take your time. Tight is right. Yeah. Not don't worry. Be crappy. They can't play in this AI game and series sucks. Yeah. Um, but I will say my chat GPT virtual assistant, I've been playing with that where I

SPEAKER_278: talk to it. Yeah. Quite compelling. But the demo that we did when, when you put it in audio mode.

SPEAKER_10: It's kind of working now and they have a bunch of different voices and it's a little bit faster. Yeah. I'm kind of liking it. I hate to say it. Um, but I was just in the car and I was, this is the, after we did our thing and I was, I was like, tell me the history of Saudi Arabia. Tell me the modern history of this. Tell me that. And I was asking a follow-up question.

SPEAKER_280: Yeah, your AirPods in, or you don't use AirPods. You use the other ones. I was driving in the car. Yeah. And so I just had it up there like,

SPEAKER_127: got to be her. And I'm just, you know, I was going to pick up my daughter and I had time. And I was like, I could listen to a podcast or I could talk to chat. You first, I started wrapping

SPEAKER_155: up and get a little history lesson going. All right. Okay. Pretty cool. Yeah. Awesome.

SPEAKER_230: For history, like for your drunk history, uncle shout out, David Sacks, history, uncle history,

SPEAKER_27: dad can get a lot out of this. All right, let's keep rolling here. So Jacob, you sent this next one over.

SPEAKER_00: Um, yeah. And so this is called some, because summarize dot tech, very simple and clean UI. So I think they're just going for functionality right now, which is great. And to be honest, everyone's been talking about this Jared Kushner, Lex Friedman podcast, but it's like three hours long. And so I, I popped that in here and this does a couple of interesting things, which I want to give them some credit on. If someone else has already done it, you can kind of go here and see recently summarize videos. And so, which is really good because you don't have to wait for it to do the work, which is smart, right? Cause you know, it makes, it makes no sense to kind of keep doing that as well. And so I thought that was really well done. And then from the summaries in this case, you know, this was a three hour, 45 minute podcast and each hour, but then you can do like a little see more. And then if you want to kind of get into each section, uh, you can kind of scan through it as

SPEAKER_73: well. So I thought that was really well done. You know, I thought it was simple, like simple UX,

SPEAKER_00: again, like this should probably be a part of YouTube. That's the problem. Like it doesn't, shouldn't be like a, you know, like an external feature. It's a, it's a feature of YouTube rather than an external service, but I really liked the simplicity of it. I liked how they've taken advantage of caching and, you know, taking advantage of sort of other people that are doing it. So you get, this one basically happened instantaneously for me. So someone else must have done it.

SPEAKER_290: Uh, pretty neat. I like it. I said, I give this one like a B. Um,

SPEAKER_00: yeah, I think I'm the same as you on this one. Like again, the only risk for them is this, this naturally for the folks at Google should be a YouTube feature.

SPEAKER_10: I mean, it could be doing other interesting things here. Like if it summarized this video,

SPEAKER_133: you know, it could like this or some, like some recommendations. It could be like, here's a

SPEAKER_10: summary of this section, but then here are the next questions to ask. Tell me about the history

SPEAKER_71: of Hamas. Tell me about the history of the Israeli Palestinian conflict. So remember we were in that other Google sheet and it was giving you suggestions in the wizard, like anticipating your next question. Each of these could have some questions, you know, you could prompt it. I'm a podcast listener looking to understand these conversations deeper. Tell me what question to ask next

SPEAKER_46: for each hour of the pod. And it just comes up with 10 more questions to ask.

SPEAKER_77: So that could be kind of interesting. Scaling a business is hard. It's really hard. Let's be honest. And when you're growing things that used to take a few hours, well, now all of a sudden they take a week, they take two weeks, maybe they never get done. So you wind up getting bogged down. That's not what you need. You need to be efficient. You need to be light. You need to stick and move. And one way to stay efficient is to understand your KPIs. What does KPI stand for? No need to be embarrassed. Key Performance Indicator. So basically, these are the important metrics to track for performance against your objectives. Right now, you can download NetSuite's popular KPI checklist for free at netsuite.com slash twist. So you can catch up on a KPI checklist. If

SPEAKER_81: you're in SaaS, you've probably heard some of these numbers and some of these acronyms. Mao, MRR, ARPU, average revenue per user. And NetSuite's KPI checklist will teach you

SPEAKER_77: to identify and understand your strategic objectives and then how to collect and analyze the data and so much more. Identifying KPIs are going to make you more efficient. Your team's going to be happier. You're going to be happier as the boss. And right now, increasing margins and getting profitable is the name of the game. KPIs is the road to that. So here's your call to action. NetSuite is everything you need all in one place. Download NetSuite's KPI checklist for free at netsuite.com slash twist. That's netsuite.com slash twist to get your KPI checklist right now.

SPEAKER_27: Okay, next one. So we're going to pop back. We're going to do a couple with our friends at Google. Again, because they keep in, they keep innovating. They keep innovating. And so, okay, it's good to see it like it's, you know, era of innovation.

SPEAKER_144: Okay, Sundar. All right. Stocks down a bit. Yeah, but they got to keep pushing. Yes.

SPEAKER_73: Okay. So here, what you see now is in your Google workspaces, if you have AI for workspaces enabled,

SPEAKER_00: when you start a new Google doc, in this case, like a, you know, blank one here.

SPEAKER_303: Untitled doc. Classic untitled doc. Classic untitled doc. You help me write.

SPEAKER_27: And so. Oh, look at that. It's a prompt right in the white space. Right, right in the doc and say, okay. Yeah. Okay. Help me write a performance review for Nick.

SPEAKER_306: Okay. I want to highlight his strengths. Okay. Let's just say, uh, as being on time, uh, doing good research.

SPEAKER_308: Give me one more J cow and, and his, uh, jovial disposition.

SPEAKER_269: Okay. Okay. Okay. Okay. Areas. He needs to work on our, his hairstyle is doing his personal hygiene.

SPEAKER_310: Personal. Uh, and, uh, inappropriate banter saying, you're getting a little inappropriate.

SPEAKER_315: Yeah, I sound like Chris Farley.

SPEAKER_27: Yeah, absolutely. All right. So I'm going to do this. And so, um, and I showed, you know, the Greg one before while it generates that. So I, I have this one here that I did for Greg. Sure. Uh, fictitious Greg. Oh, wait, we're still learning. I can't help with that. Try another request.

SPEAKER_321: Wow. Really? What? That's crazy. You just did it.

SPEAKER_180: This is always weird. I know. I hate when you tell you not to do it. And then you tell it it's okay. You can do it. And it does it. Yeah.

SPEAKER_00: Just, just do it. Right. Okay. Here we go. I did it. Second tries. Yeah. Yeah. Yeah. And so you can kind of go here and I really like this. You can say, elaborate tones. You can change the tones. You can say, make the tone more formal. And then you can have it elaborate and, you know, Jacob, I'm bringing this up because like, look, like last week we did the images inside of.

SPEAKER_10: So it says here, Nick is a valuable member of the team. He is punctual and completes his assignments on time. He's also a good researcher, but then, however, Nick needs to prove on his personal hygiene. He has a habit of coming to work with unkept hair and body odor. Come on, Nick.

SPEAKER_25: He also needs to be careful about his jokes. He sometimes makes inappropriate jokes that makes his colleagues uncomfortable. Nick, please. Yeah.

SPEAKER_327: Yeah. And I love that. So elaborate.

SPEAKER_25: We should elaborate on the body odor.

SPEAKER_328: Yeah. Yeah. Elaborate on the body odor.

SPEAKER_00: And like, but, you know, Jacob, like, look, you know, you, you've been building companies and managing people for a long time and performance review is important. And sometimes it's hard, like, to, you know, build out. Get started. Yeah. Get started. And so you do this. The cold start problem is real.

SPEAKER_332: And like, there you are, you're done.

SPEAKER_180: I mean, the, the crazy thing about this is if you actually know your points to put

SPEAKER_10: them in full sentences, this does a wonderful job. So for people who have writer's block, this is going to do it. I was writing a deal memo and we have a section in our deal memos for the syndicate, uh, where it says the bet and. Okay. You know, people have a hard time writing the bet. So I've been having my associates, managing directors, you know, et cetera. I give a shot at writing the bat and then I basically approve it or write it. And every time it's not as good as I want it to be. Yeah. And the last time I said, you know, I just highlighted what you wrote. And I, in, um, notion AI. Yeah. And I said, you know, make it better. Yeah. You just have a button that says make it better. Make it better. Yeah.

SPEAKER_174: And it, I was like, it's so much better. The notion one.

SPEAKER_63: Yeah. So like your original ideas are just presented much better. Yeah.

SPEAKER_337: Can you do me the honor or the, you know, save us all.

SPEAKER_00: But now like, you know, you, you're using notion, but like, you know, if Google docs is your platform, like think about how, you know, what this is going to do. I think it's really well executed.

SPEAKER_71: That's four hours of work that, you know, somebody puts on their to-do list. That's going to take them two, four hours. And if they got to do 10 of those and it's 20 hours of work, it's three days of work. Like maybe like, you know, the boss will be like, Hey, what are you doing this week? It's like, Oh, this is performance review week. Week. Yeah. Like week. No, seriously. And now it would be like performance review day. Yeah. And, uh, you know what? Now highlight that review. Here's what I want you to do. I want you to take that review and I want you to say,

SPEAKER_01: you're Nick, write a rebuttal to this review that asks for a 20% raise. Okay. But that they, they don't, they don't allow that to happen. Yeah.

David Friedberg: You do that, but you could copy this into.

SPEAKER_01: Oh yeah.

David Friedberg: I could copy it into chat GPT. Put it into chat GPT four and say, this is my performance review. Write me a rebuttal. That doesn't make me look defensive and ask for a 20% raise. That's a good one. And so what should happen in the future? Your AI should know automatically to do this and try to get you to do it. Right.

SPEAKER_71: It should know when you get a performance review, you should write a, you know, a review that's not defensive. Let's see what happens here. Dear manager's name. Jake.

SPEAKER_353: I want to express my gratitude for the performance for you. I generally value the opportunity. I understand. Oh my God, this is such a whole load of horseshit. Firstly, I'm proud to acknowledge the positive feedback, particularly my research skills regarding feedback about my personal hygiene. I sincerely apologize for the discomfort I may have caused to my colleagues. Nicely done, Nick.

SPEAKER_71: I recognize the importance of maintaining a professional appearance and the impact it has on the work environment. Please understand that personal circumstances have temporarily affected my routine, but I'm committed to addressing this immediately. Ensure it doesn't continue. Wow. What a great excuse. Well done, Nick. As for the joke.

SPEAKER_357: This feels like character assassination.

SPEAKER_343: It's just a joke. Nick does not. Nick's hygiene is. Yes, it's on point. Seconds are none. Seconds are none. I mean, it's incredible. The guy smells like roses. As for the jokes, I understand that humor can be subjective and sometimes, despite my best intentions, a joke might not land as intended. This sounds like me, actually. I appreciate the insight.

SPEAKER_364: It sounds like I was going to say, I'm usually the get back guy for Jason. Exactly. Yeah. This is me talking to my wife.

SPEAKER_353: I appreciate the insights of this and will be more vigilant about ensuring my humor aligns. Workplace appropriateness. Not bad, Nick.

SPEAKER_00: You did a good job. And then here comes from the raise. Considering my commitment to the company, the constant positive feedback in several areas

SPEAKER_148: and the value I bring to the team, I kindly request a salary adjustment of 20%. Well, that's a big number.

David Friedberg: I believe this reflects both the current market value of my role. I mean, my Lord, this would have taken somebody like two weeks of like hand wringing and edits.

SPEAKER_368: And stress and, you know, like asking a friend.

SPEAKER_00: It's just done. Like you go to your friends and be like, oh, I got a reply to my manager. What should I say? Right.

SPEAKER_364: So now I want you to copy that. And then I want you to write that.

SPEAKER_174: I want you to put that into Claude AI and then tell Claude AI that market conditions

SPEAKER_370: don't allow us to get a 20% raise, but we're happy to do a 4% adjustment for the cost of living.

SPEAKER_174: Yeah. Don't do it. Don't do it. It's just, it's, you can see where this is going, everybody.

SPEAKER_377: So I, I'm going to just say that Google air rights for that AI rights for Google as presented. That's an a for me.

SPEAKER_88: Yeah.

SPEAKER_00: That's another a. Okay. Yeah. I, I think it's an a like, you know, in fact, I found it because I was trying to work on something. And then basically I've been using it like every single day.

David Friedberg: Now I just want to say as a writer. Yeah. Um, I would say this is a bummer for me because like I used to be able to do all this stuff, but I'll be totally honest. I hate doing this stuff.

SPEAKER_71: And if this like people who work for me can just do this, because what happens is ultimately myself or producer, Jackie, who used to work on the show and is now a managing director, all this writing stuff winds up coming to our desk. Somebody's like, I need help writing this. And it's like, oh, producer, Jackie's the writer at the company. Jake house, the writer at the company, go to them. They'll write the copy. I just rather everybody be able to write good copy from the get. And then I can just do my pixie dust, you know, a little bit of flare on it.

SPEAKER_343: Yeah. You know, and then eventually it'll probably understand how I do flare.

SPEAKER_217: And it's still kind of just like, you know, we did the originality. Maybe instead of being a hundred percent AI, you add it and it becomes like 90% AI,

SPEAKER_73: but the 10% flare is human and that's okay.

SPEAKER_388: Perfect. I like it. Great job. I'm giving it an a, so send this to Sundar. You got an a, you finally got your a, not a plus, but a.

SPEAKER_73: Okay. Last one. Okay. I'll, I'll say I had a Google sheets one, but I'll save it because I have two more to go. Uh, actually, let's do Google sheets and we'll save the bar for next week. So very similar theme here inside of Google sheets.

SPEAKER_00: You know, when you start a new sheet, you'll get this little, um, you know, tab that comes in from the right hand side. This helped me organize. And so it gives you ideas like, you know, wedding event planner, a wedding event plan in a zoo with different animal kitchen, remodel task list. Uh, you know, wow. And so you guys run conferences, Jake house. So what I was going to say is let's, let's pop in one. Like if you were wanting to create some kind of checklist for a conference, what would you

SPEAKER_394: make a, let's make a run of show for a corporate conference.

SPEAKER_291: That's three days long with 16 speakers a day. We'll see if it understands run of show. Okay.

SPEAKER_99: That's it. That's it.

SPEAKER_291: Let's see what it does.

SPEAKER_99: Let's see what it does. I don't know if it's like the same kind of issue or let me grab this. I don't know if it's like a refresh issue because it's like, it's a weird error that it gives there. Yeah. It's a weird error.

SPEAKER_399: Okay. So let's give it a shot here. Let's do it again.

SPEAKER_99: And that's terrible. Oh, that's not good.

SPEAKER_63: Okay. So, okay. Sundar, this is, this is the, don't worry, be crappy mode that we're in with AI. Yeah.

SPEAKER_388: You got to build stuff and you got to throw it out in the world. And it's saying we're unable to generate any results based on your prompt. Please try it. And let's do another prompt. Please create a budget for a three-day corporate conference for 150 executives. Include food, lodging, and entertainment. You know, this is something somebody might do, right? Somebody on my team might do something like this. Somebody on your team might do an offsite meeting like this. Let's see if it makes an actual budget for a three-day corporate conference for 150 executives, including food, lodging, and entertainment.

SPEAKER_267: All right. Lodging, 200%. Okay. Okay. Let's hit insert and see what happens. What happens next?

SPEAKER_26: Yeah. I just kind of dropped it in here.

SPEAKER_10: It's kind of weak sauce. Let's try again. It didn't do a good job on that. It just put like $200 a person for dinner and it didn't even put it in sales. Uh, so what will we do here? That could be very interesting. Please create a P and L for a startup in the software industry.

SPEAKER_388: That's a pretty good one, right? That's like a template they must have somewhere. I must understand. Yeah.

SPEAKER_407: You would, you would think so.

SPEAKER_388: Yeah. See if it does it here.

SPEAKER_406: This could be a chance to, okay.

SPEAKER_407: Oh, no, we did a quarterly report.

SPEAKER_10: Yeah. Okay. So sorry, uh, Sundar, you got an A for docs.

David Friedberg: The X, the Google sheets team has failed horribly and they're getting an F. This is an F you failed.

SPEAKER_00: Well, I will say I pick, I picked one of their examples, which was like a new product. Oh yeah. Sure. Yeah. And then this one is sorry.

SPEAKER_23: Yeah. I'm sorry. Nailed the example. Yeah. Okay, great. I give it an F. What do you give this pathetic performance?

SPEAKER_08: I'm in that range, you know, like these things are hard to do.

SPEAKER_413: Yeah.

SPEAKER_42: All right. All right, everybody. This has been another episode of this week in Stardust for Sundeep Matra. I am Jake Howe, the world's greatest moderator. We'll see you next time. Bye-bye.