00:45:48 · Max Read, Erin Griffith, Mike Isaac
[00:45:48] S1: Right. [00:45:48] S3: Layoffs. But that's still so many. And I feel like, like, to your point, Max, over the last three, four years, we've just become so numb to these rolling layoffs from the giant tech companies because that is just the new reality that started kind of after the Zurp era kind of deflated. All these tech companies that got super bloated because they thought they needed a million engineers decided, okay, now we're just gonna, like, kinda be in this environment where we just, like, cut a thousand people every, you know, six months or something. And tech used to be this cushy job, especially at a place like Microsoft, which is, you know, very geographically focused, where you can just, like, have a thirty year career. And there are a lot of people at companies like Microsoft, Amazon, you know, even like Google and Facebook, which are a little bit younger, that have been there for so long. Mhmm. And that is no longer the case. That is, you know, maybe a sign of what's to come for the rest of the economy because tech is sort of always a little bit out ahead on on workplace trends as well. So that's a little bit depressing. And I guess the other thing that I'll add is like something that... It's like kind of darkly funny about the announcement, which is that the Microsoft said it was part of their efforts to give employees more control over their future. Woah. What the What? [00:47:07] S1: That's not the kind of control I'm [00:47:09] S4: looking for. That's not the control I would Really, [00:47:12] S3: really, really grim.
00:47:12 · Erin Griffith, Mike Isaac, Max Read
[00:47:12] S3: really, really grim. [00:47:13] S4: The the silver lining in there, I would say, as far as your, like, harbinger of what's to come is, like, a lot of this is because of their AI spin and infrastructure spin. And so, like, perhaps, like, accept... Whatever. Accenture or some some, like, giant employer that's not spending billions of dollars per quarter on AI is not gonna do the same level of layoffs. They're just gonna use the tools to justify different types of layoffs in lesser numbers. [00:47:37] S3: Oh my god. Mike, Accenture is the worst example because, like, if there's any company in the world that's going to be fully taken out by AI, it's consultants. Right? Sorry. [00:47:46] S1: Good lord. [00:47:46] S4: See, I'm gonna get taken out aback by AI because I can't even think of a good company. [00:47:50] S1: No. Actually, your mistakes is... That's that's what makes you human. Like, that's what that's what that's what people I [00:47:54] S4: love to serve. [00:47:55] S1: Okay. On that cheery bit of news, we're gonna go to break. When we come back, we're gonna be talking about stories that we're tracking this week.
00:47:55 · Max Read, S0
[00:47:55] S1: Okay. On that cheery bit of news, we're gonna go to break. When we come back, we're gonna be talking about stories that we're tracking this week. [00:48:13] S0: Every leader knows the moment. There's a critical decision to make, but the answers are scattered across teams, tools, and inboxes. So you wait, you guess, you schedule another meeting. Not knowing gets expensive. Knowing keeps your business moving. Atlassian brings your work and knowledge together so your teams and AI agents have the context they need to make better decisions. Less searching, more deciding. Learn more at atlassian.com. That's atlassian.com. Ripple has been powering modern finance for a decade. It's not our first trip around the blockchain, and it won't be our last. We are leading the charge to bridge the gap between existing financial systems and the future of finance. You can have it all. Legacy, stability, and digital innovation. Systems that work with your other systems. Because with the right partner, the question isn't crypto or traditional finance. The question is simply, why choose? A new standard of modern finance. It's happening with Ripple. For informational purposes only, availability of products can vary and may be provided by different Ripple entities.
00:49:20 · S5, Max Read
[00:49:20] S5: This message is supported by ADT. It's all back. Back to school, back to work, back to the to do lists. ADT wants to help you get back to home. Their security systems protect you and yours so you can appreciate every moment. With systems that can be installed by pros and are accessible right from the ADT plus app. So you're always in control when you wanna be. With cameras, sensors, and more doing what they do best, keeping an eye out. And if you ever need help, ADT's reps are on call 20 four seven. When every second counts, count on ADT. Visit adt.com today. [00:49:57] S1: Welcome back. I'm with Erin, Jasmine, and Mike, and we're gonna be talking about stories that we're tracking this week. Mike, what story are you tracking this week?
00:49:57 · Max Read, Mike Isaac
[00:49:57] S1: Welcome back. I'm with Erin, Jasmine, and Mike, and we're gonna be talking about stories that we're tracking this week. Mike, what story are you tracking this week? [00:50:05] S4: So I... This is kinda nerdy, but that's my thing. I found this memo from the VP and distinguished engineer at Amazon this week that, you know, most normal people are not tracking. But I think it's really interesting because it's essentially a very long manifesto on the use of AI among software engineers inside of the big companies. And what they essentially cop to is token maxing is kind of a a terrible metric to measure how you're doing as an engineer, As is LOC, lines of code, the amount of line... Of of code you are contributing building these products, also a messy metric, which basically means you're larding up these systems with a bunch of stuff that someone's gonna eventually have to delete. And so in this long memo, they essentially tell employees, look. What we care about are long term outcomes. This is, like, what really matters in the end, and this is what, you know, we need to be judged by. The problem is you can't really judge long term outcomes on a quarterly basis when you're trying to figure out who should still be employed here. So I think after, you know, thousands of words, we end up kind of back where we started, and I'm very curious how they judge these engineers in the coming quarters.
00:51:18 · Erin Griffith, Mike Isaac, Max Read
[00:51:18] S3: I mean, that's so interesting because I feel like when the token maxing trend started, everyone with any common sense was just kinda like, this seems absurd. Yeah. Like, just spending as much money as possible to to write as much code as possible. Like, the... Playing the volume game just... Obviously, that's gonna end badly. And we call them all new as a short term bump. And the token minning or whatever they call it, token minning. The the reverse of that trend happened so fast. Like, by the time we could barely get our first story up, it was already reversed. But, like, it seems like they're they're still struggling to figure out where the balance is. Is that, like, kind of your upshot from this? [00:51:57] S4: Well, what better metaphor for the tech industry than spending billions of dollars to find out something is a terrible idea and ending up back where you started. [00:52:06] S3: They're in the arena trying things, Mike. [00:52:08] S4: Yeah. Exactly. That's true. [00:52:09] S1: I am This is... I have to say this... You say this is nerdy, but this feels like the most relatable possible thing to me. Everybody has a job where they introduce a new metric, and you know the metric's stupid, and you fulfill the metric, and then your bosses are like, actually, we're gonna do the opposite metric. And so you do that, and you're like, this is still stupid. And then they're like, they're then sort of like, actually, metric is, the long term health of the company. And you're like, well, I'm still just gonna do my job and let [00:52:33] S3: me You're self employed.