Podcasts about Goldman Sachs

In this podcast extra, longtime Goldman Sachs CEO Lloyd Blankfein discusses current U.S. policy, inequality, AI, the current risk of a "bubble," criticism of Wall St. and Goldman Sachs, Pres. Trump's trade war and Federal Reserve meddling, and Blankfein's career, in this wide-ranging discussion. Blankfein also outlines how to assess risk, a functioning market, investor discipline, what money is good for and if any amount is "too much" for one person - and his new book, "Streetwise: Getting to and Through Goldman Sachs." This interview is a new installment of 'The Summit Series with Ari Melber,' featuring discussions with leaders at the summit of their fields To listen to this show and other MS podcasts without ads, sign up for MS NOW Premium on Apple Podcasts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

My guest today is Kristin Olson, Global Head of Alternatives for Wealth at Goldman Sachs. Last year she was named one of the 100 Most Influential Women in US Finance by Barron's. In today's episode, Kristin discusses the explosive growth of the alternatives market over the past decade. She explains what has driven interest from individual investors, particularly millennials, and touches on recent volatility within software and private credit BDCs. Finally, she shares her expectations for the 2026 IPO market, the potential for renewed interest in hedge funds, and how AI is set to reshape sourcing, underwriting, and portfolio construction. (0:00) Starts (1:31) Introduction of Kristin Olson (3:16) Evolution of alternative investments (10:19) Secondary strategies (13:05) Private equity alpha and liquidity concerns (19:13) Private credit market concerns (22:29) Manager selection and due diligence (24:17) Non-traditional investments and hedge fund interest (27:17) Millennial interest in alternatives (31:40) Infrastructure and global opportunities ----- Follow Meb on X, LinkedIn and YouTube For detailed show notes, click here To learn more about our funds and follow us, subscribe to our mailing list or visit us at cambriainvestments.com ----- Sponsor: Register for Alpha Architect's LIVE HIDE webinar on March 26th ⁠here⁠. Want to Learn More about Alpha Architect? Visit ⁠www.funds.alphaarchitect.com ⁠Follow The Idea Farm: X | LinkedIn | Instagram | TikTok ----- Interested in sponsoring the show? Email us at Feedback@TheMebFaberShow.com ----- Past guests include Ed Thorp, Richard Thaler, Jeremy Grantham, Joel Greenblatt, Campbell Harvey, Ivy Zelman, Kathryn Kaminski, Jason Calacanis, Whitney Baker, Aswath Damodaran, Howard Marks, Tom Barton, and many more.  ----- Meb's invested in some awesome startups that have passed along discounts to our listeners. Check them out here! ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Learn more about your ad choices. Visit megaphone.fm/adchoices

Cramer tells investors he would buy this financial stock if he could. Become an Investing Club member to go behind the scenes with Jim Cramer and Jeff Marks every day as they talk candidly about the market's biggest headlines, analyst calls and holdings in the Charitable Trust – and see up close how they decide when, and if, to take action on stocks. Sign up here: cnbc.com/morningtake   CNBC Investing Club Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

A weaker-than-expected employment report, and increasing geopolitical concerns, are leading to significant market volatility. How should investors make sense of this environment? Josh Schiffrin, Chief Strategy Officer and Head of Financial Risk for Goldman Sachs Global Banking & Markets, discusses with Chris Hussey on the Goldman Sachs trading floor.  Recorded on March 6, 2026.  The opinions and views expressed herein are as of the date of publication, subject to change without notice, and may not necessarily reflect the institutional views of Goldman Sachs or its affiliates. The material provided is intended for informational purposes only, and does not constitute investment advice, a recommendation from any Goldman Sachs entity to take any particular action, or an offer or solicitation to purchase or sell any securities or financial products. This material may contain forward-looking statements. Past performance is not indicative of future results. Neither Goldman Sachs nor any of its affiliates make any representations or warranties, express or implied, as to the accuracy or completeness of the statements or information contained herein and disclaim any liability whatsoever for reliance on such information for any purpose. Each name of a third-party organization mentioned is the property of the company to which it relates, is used here strictly for informational and identification purposes only and is not used to imply any ownership or license rights between any such company and Goldman Sachs. A transcript is provided for convenience and may differ from the original video or audio content. Goldman Sachs is not responsible for any errors in the transcript. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at http://www.gs.com/research/hedge.html Goldman Sachs does not endorse any candidate or any political party. Copyright 2026. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

On Thursday, the markets had their worst day since the U.S. war in Iran began, and oil prices saw another big jump. Amna Nawaz discussed the broader economic concerns with Lloyd Blankfein, the former CEO of Goldman Sachs and author of "Streetwise: Getting to and Through Goldman Sachs." PBS News is supported by - https://www.pbs.org/newshour/about/funders. Hosted on Acast. See acast.com/privacy

The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

Dr. Michael Fredericson works at Stanford University as a Professor of Physical Medicine & Rehabilitation. He is widely recognized for his research and clinical work in running injuries, biomechanics, and endurance athlete care, helping runners and athletes worldwide improve performance while staying injury-free.In the conversation today, he discusses running injuries with Vikas. The conversation explores shin splints, knee pain, achilles tendon and flat foot - how to recognize early warning signs, manage training loads, and prioritize recovery. He also breaks down the role of biomechanics, footwear, foot structure, and running form in preventing injuries and improving running efficiency.The podcast reveals the emerging new treatment of shockwave therapy, the benefits of cross-training, and why many beginner runners push too hard too soon. The episode emphasizes that patience, progressive training, and proper recovery are essential pillars of sustainable running performance.About Vikas Singh:Vikas Singh, an MBA from Chicago Booth, worked at Goldman Sachs, Morgan Stanley, APGlobale, and Reliance before coming up with the idea of democratizing fitness knowledge and helping beginners get on a fitness journey. Vikas is an avid long-distance runner, building fitpage to help people learn, train, and move better.For more information on Vikas, or to leave any feedback and requests, you can reach out to him via the channels below:Instagram: @vikas_singhhLinkedIn: Vikas SinghTwitter: @vikashsingh101Subscribe To Our Newsletter For Weekly Nuggets of Knowledge!

In dieser Folge von „Smart Investieren" sprechen wir mit Bobby Vedral, Autor des Newsletters Macro Eagle und ehemaliger Marktstratege bei Goldman Sachs. Wir blicken auf das Börsenjahr 2025 zurück und diskutieren wichtige Marktthemen für 2026. Im Mittelpunkt steht dabei die Frage, ob Gold im aktuellen makroökonomischen Umfeld stärker ins Portfolio gehört. Zudem sprechen wir über geopolitische Entwicklungen, Inflation, mögliche Zinsschritte von Fed und EZB sowie Perspektiven bei europäischen Aktien und Rohstoffen. Wir wünschen Ihnen viel Freude beim Zuhören und freuen uns auf Ihr Feedback! Weitere Informationen zu Xetra Gold:  KID Xetra Gold Risikoindikator: 5 Hinweis: Auf der LYNX-Podcast-Seite https://www.lynxbroker.de/boerse/podcast/smart-investieren/die-strategie-fuer-2026-gehoert-gold-ins-depot/ finden Sie alle relevanten Informationen zu dieser Episode. Wichtige Information Dieser Podcast ist eine Marketingmitteilung. Er entspricht daher nicht den gesetzlichen Anforderungen zur Förderung der Unabhängigkeit von Finanzanalysen und unterliegt keinem Verbot des Handels vor der Veröffentlichung.  Die in diesem Podcast enthaltenen Informationen und Meinungen dienen ausschließlich allgemeinen Informationszwecken und stellen weder eine Anlageberatung noch ein Angebot oder eine Aufforderung zur Tätigung bestimmter Anlagen dar. Die verwendeten Quellen sind in den Shownotes aufgeführt. Ihre persönliche finanzielle Situation, Ihre Kenntnisse, Erfahrungen, Anlageziele oder Risikobereitschaft werden nicht berücksichtigt. Bitte führen Sie vor einer Anlage Ihre eigenen Recherchen durch oder lassen Sie sich unabhängig und professionell beraten. Aus dem Inhalt dieses Podcast können keine Rechte abgeleitet werden, und LYNX übernimmt keine Haftung.  Anlegen ist riskant. Ihr Verlust kann Ihre Einlage übersteigen.  Der Wert von Investitionen kann schwanken. Die Wertentwicklung in der Vergangenheit ist kein verlässlicher Indikator für zukünftige Ergebnisse. Die genannten Wertentwicklungszahlen berücksichtigen keine Transaktionskosten, Steuern oder sonstigen Gebühren.  Die Inhalte werden nach der Veröffentlichung nicht aktualisiert.  Die Referenten können eine direkte Position oder eine indirekte Position in den genannten Instrumenten halten, beispielsweise über ETFs, Investmentfonds oder vergleichbare Anlageinstrumente, auf deren Anlagestrategie sie keinen Einfluss haben.  LYNX BV ist eine niederländische Wertpapierfirma, die von der niederländischen Finanzmarktaufsichtsbehörde (AFM) und in Deutschland von der Bundesanstalt für Finanzdienstleistungsaufsicht beaufsichtigt wird.

Today's Headlines: The first 2026 primaries are done. In North Carolina, Democrat Roy Cooper and Republican Michael Whatley advanced to face off for retiring Sen. Thom Tillis' seat. In Arkansas, Sen. Tom Cotton cruised to renomination, while Democrat Hallie Shoffner won with 77%. Texas was a little more dramatic. After historic turnout, a Dallas judge extended voting hours over polling confusion. Attorney General Ken Paxton — who's on the ballot — asked the Texas Supreme Court to block it, and the court agreed. Paxton now heads to a GOP runoff with Sen. John Cornyn after neither hit 50%. Abroad, the Iran war intensified after drones struck the U.S. Embassy in Riyadh. President Donald Trump said Iran's air defenses were “knocked out” and promised “big-scale” strikes. Sen. Richard Blumenthal warned of possible “boots on the ground.” Secretary of State Marco Rubio suggested U.S. strikes were preemptive ahead of Israeli action — then tried to walk that back. Israel also hit a meeting of Iran's Council of Experts during its Supreme Leader selection. Stateside, reports say some commanders framed the war to troops as “God's divine plan.” FBI Director Kash Patel fired counterintelligence officials who had worked Trump-related cases, including Iran matters, and now faces whistleblower claims over handling of an ICE shooting investigation. DHS Secretary Kristi Noem endured a bruising hearing, with Sen. Tillis suggesting she resign. House Oversight is expanding its Epstein probe to include Commerce Secretary Howard Lutnick and former Goldman Sachs counsel Kathy Ruemmler. Meanwhile, French President Emmanuel Macron announced plans to expand France's nuclear arsenal, and Melania Trump chaired a UN Security Council meeting during the U.S. presidency rotation. Resources/Articles mentioned in this episode: AP News: Primary election live updates: Texas GOP Senate headed to a runoff Axios: Iran targets U.S. allies, hits American Embassy in Riyadh The Guardian: Rubio tries to backtrack after Israel comments later contradicted by Trump trigger criticism – as it happened | US news Axios: Israel bombs council choosing Iran's next supreme leader, official says Substack: U.S. Troops Were Told Iran War Is for “Armageddon,” Return of Jesus NYT: Macron Expands French Nuclear Arsenal and Vows Protection for Neighbors CNN: Kash Patel gutted FBI counterintelligence team tasked with tracking Iranian threats days before US strikes, sources say The Daily Beast: Sinister Reason Keystone Kash Halted ICE Killing Probe Revealed NYT: Noem Defends Describing Minneapolis Protesters' Actions as Domestic Terrorism Politico: Canceled contracts, a failed polygraph and personal disputes: Inside the turbulent tenure of Noem's former cyber czar NYT: Lutnick Agrees to Testify in House Epstein Investigation BBC: Melania Trump chairs UN Security Council meeting on children in conflict amid Iran strikes Subscribe to the Betches News Room and join the Morning Announcements group chat. Go to: ⁠⁠⁠betchesnews.substack.com Morning Announcements is produced by Sami Sage and edited by Grace Hernandez-Johnson Learn more about your ad choices. Visit megaphone.fm/adchoices

Dan Nathan interviews veteran tech investor Dan Benton about how tech investing has changed since Benton's 1991 “20 rules” at Goldman Sachs and why he's releasing new “2026 rules,” alongside launching a Substack. Benton contrasts a pre-internet, sell-side, information-advantage era with today's commoditized data, retail tools, and faster markets, arguing investors now differentiate by identifying secular themes and sticking with them. He emphasizes tech as “the market,” the need to respect the Fed, and that momentum in tech is driven by multi-year estimate trajectories, revenue acceleration, and operating leverage, with valuation often secondary until growth decelerates. They discuss stock-based compensation distorting earnings quality, rotations within AI beneficiaries, crowding and risk-off selloffs, and uncertainties around hyperscaler CapEx and OpenAI's private-market marks. The conversation covers SaaS disruption risk, Tesla and SpaceX “selling the future,” China's advantages, and why markets are faster but not smarter. Links Rules For Tech Investing (1999 Edition) Follow Dan's SubStack: substack.com/@danbenton —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

What does it take to lead one of the world's most powerful banks when the global financial system is on the brink of collapse? As CEO for Goldman Sachs from 2006 to 2018, Lloyd Blankfein was at the helm as the global financial system teetered on collapse. He successfully steered the company through the most devastating financial crisis of our age, and stabilised its ascent for the following decade. His story is one of decisive global leadership at the top of one of the most competitive and successful corporations in the world.  In this episode he speaks to Lionel Barber about his journey from the public housing projects of Brooklyn to the highest level of global finance. Drawing on his new memoir, Streetwise: Getting to and Through Goldman Sachs, Blankfein revisits the decisions that defined an era, and what his long tenure taught him about leadership, human nature, financial capitalism.  Lionel Barber is a journalist and the former Editor of the Financial Times, and author of The Gambling Man. This episode is created in partnership with Guinness Global Investors, an independent British fund manager that helps both individuals and institutions harness the future drivers of growth to achieve their investment goals. To find out more, head to guinnessgi.com If you'd like to become a Member and get access to all our full conversations, plus all of our Members-only content, just visit intelligencesquared.com/membership to find out more. For £4.99 per month you'll also receive: - Full-length and ad-free Intelligence Squared episodes, wherever you get your podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series - 15% discount on livestreams and in-person tickets for all Intelligence Squared events  ...  Or Subscribe on Apple for £4.99: - Full-length and ad-free Intelligence Squared podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series … Already a subscriber? Thank you for supporting our mission to foster honest debate and compelling conversations! Visit intelligencesquared.com to explore all your benefits including ad-free podcasts, exclusive bonus content and early access. … Subscribe to our newsletter here to hear about our latest events, discounts and much more. https://www.intelligencesquared.com/newsletter-signup/ Learn more about your ad choices. Visit podcastchoices.com/adchoices Learn more about your ad choices. Visit podcastchoices.com/adchoices

The conflict in Iran has led to a significant spike in oil prices. What will determine the commodity's next move, and how much higher could oil prices rise? Jerome Dortmans, co-head of Global Oil and Products Trading in Goldman Sachs Global Banking & Markets, discusses with Chris Hussey on the Goldman Sachs trading floor. Recorded on March 3, 2026.  The opinions and views expressed herein are as of the date of publication, subject to change without notice, and may not necessarily reflect the institutional views of Goldman Sachs or its affiliates. The material provided is intended for informational purposes only, and does not constitute investment advice, a recommendation from any Goldman Sachs entity to take any particular action, or an offer or solicitation to purchase or sell any securities or financial products. This material may contain forward-looking statements. Past performance is not indicative of future results. Neither Goldman Sachs nor any of its affiliates make any representations or warranties, express or implied, as to the accuracy or completeness of the statements or information contained herein and disclaim any liability whatsoever for reliance on such information for any purpose. Each name of a third-party organization mentioned is the property of the company to which it relates, is used here strictly for informational and identification purposes only and is not used to imply any ownership or license rights between any such company and Goldman Sachs. A transcript is provided for convenience and may differ from the original video or audio content. Goldman Sachs is not responsible for any errors in the transcript. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at http://www.gs.com/research/hedge.html Goldman Sachs does not endorse any candidate or any political party. © 2026 Goldman Sachs. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

Hiring is often reactive. You have an influx of work or attrition, and bam, you need someone now. This creates a lot of stress on you as a manager and business owner. How are you going to get that role filled and manage the work that needs to be done? The cost of putting the wrong candidate is tremendous. How patient are you in waiting to ensure you have the right candidate in the right seat?  Many interviewers resort to questions that don't really give you the information needed to hire. And, many are not trained to dig beyond the surface answers that candidates give. These are answers that are often practiced showing themselves in the best light.  There is a way to hire much more predictably. Learn more about role development and how to get beyond the surface answers in this podcast.  About Your Host Denise Cagan has been working with small businesses for 25 years. She has served on the boards of professional organizations and nonprofits. She holds a Bachelor of Science in Quality Systems Management from James Madison University and is a graduate of the Goldman Sachs 10,000 Small Business Program, which is a program for small businesses that links learning to action for growth-oriented entrepreneurs. Recognized as a facilitator, problem solver, and builder, Denise enjoys working with small business owners who want to create a solid foundation. Her past experience includes 10 years in manufacturing with various awards plus inclusion into Marquis Who's Who. Denise is the CEO of 3 companies: DCA Virtual Business Support, DCA Association Management, and Denise Cagan Business Consulting. In her downtime, she enjoys spending time with her granddaughter, cooking, and cuddling with her dogs. View and listen to Podcasts with Denise Cagan. Connect on LinkedIn

Don Kaufman warns traders that volatility remains really elevated and will set the stage for a rocky end to the week. When it comes to today's Big 3, he's a bear on all his example options trades. Don backs his trades in Goldman Sachs (GS), Walt Disney (DIS), and McDonald's (MCD) with market analysis, while Rick Ducat highlights key levels to watch in the stock charts. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

This Day in Legal History: Lincoln's Second InauguralOn March 4, 1865, Abraham Lincoln delivered his Second Inaugural Address as he began his second term as President of the United States. The speech came during the final weeks of the Civil War, when Union victory was increasingly likely but the country remained deeply divided. Instead of celebrating the nearing end of the war, Lincoln used the moment to reflect on the deeper causes of the conflict. He identified slavery as the central issue that had brought the nation into war, describing it as both a legal institution and a moral injustice embedded in American law for generations. Lincoln noted that both the North and South had participated in a system that allowed slavery to endure within the nation's constitutional framework.In one of the address's most striking passages, Lincoln suggested that the war itself might be understood as divine judgment for the nation's long tolerance of slavery. He observed that slavery had existed in the Americas for centuries and reflected on the possibility that the immense suffering of the war was a form of punishment for that history. Lincoln famously stated that if divine providence willed that the war continue “until every drop of blood drawn with the lash shall be paid by another drawn with the sword,” then such judgment might still be just. This reflection framed the war not simply as a political conflict but as a reckoning with a deeply rooted legal and moral wrong.Lincoln's remarks also pointed toward the constitutional transformation already underway through the pending Thirteenth Amendment to the United States Constitution. Congress had passed the amendment earlier in 1865, and it awaited ratification by the states. If adopted, it would permanently abolish slavery across the United States and fundamentally alter the constitutional order. Lincoln's speech emphasized that the war's conclusion would also mark a legal turning point, ending a constitutional system that had protected slavery. At the same time, he called for reconciliation in rebuilding the nation, urging the country to move forward “with malice toward none.” Only months later, the Civil War ended and the Thirteenth Amendment was ratified in December 1865, permanently outlawing slavery in the United States.The House Oversight Committee has asked several high-profile figures to testify about their connections to Jeffrey Epstein as part of a broader investigation into how the federal government handled the case. Those requested to appear include departing Goldman Sachs Chief Legal Officer Kathryn Ruemmler, Microsoft co-founder Bill Gates, and Apollo Global Management co-founder Leon Black.The request to Ruemmler comes shortly after she announced plans to step down from Goldman Sachs and after Justice Department records brought renewed attention to her past communications with Epstein. Emails show that she sought career advice from him while exploring a move from Latham & Watkins to Facebook in 2018 and referred to him in messages as “Uncle Jeffrey.” The correspondence also mentioned gifts she received from him. Reports previously revealed that the two had numerous meetings during the 2010s, years after Epstein had served a prison sentence related to prostitution offenses involving minors.The committee's inquiry focuses on whether Epstein and his associate Ghislaine Maxwell used relationships with influential individuals to gain protection or influence while operating their sex-trafficking scheme. Lawmakers are also examining the federal government's handling of the investigation and the circumstances surrounding Epstein's death in a Manhattan federal jail in 2019.Along with Ruemmler, Gates and Black received similar requests for testimony. Gates has indicated he is willing to cooperate and answer questions from the committee. Black, meanwhile, is also facing a proposed class action accusing Apollo and its leadership of misleading investors about their connections to Epstein, allegations the firm has publicly denied.Other individuals asked to appear include Epstein's former assistants, political adviser Doug Band, and Gateway co-founder Ted Waitt. The committee has already interviewed several prominent figures, including former President Bill Clinton and former Secretary of State Hillary Clinton, as it continues reviewing the scope of Epstein's network and the government's response to his crimes.Goldman's Departing CLO, Gates Asked To Testify On Epstein - Law360 UKThe Justice Department quickly reversed course in an ongoing legal fight over executive orders issued by President Donald Trump targeting several prominent law firms. Late Monday, government lawyers told a federal appeals court they planned to drop their appeal after multiple federal judges ruled the orders unconstitutional. But the next day the department asked the court for permission to withdraw that dismissal request and continue defending the orders.The executive orders targeted firms including Perkins Coie, WilmerHale, Susman Godfrey, and Jenner & Block. The measures sought to restrict the firms' security clearances, government contracts, and access to federal buildings, citing concerns about their clients and hiring practices. The firms challenged the orders in court, arguing they were unconstitutional retaliation against legal advocates.Federal judges consistently sided with the firms, with one ruling describing the order against Perkins Coie as an unprecedented attack on the legal system. After those rulings, the Justice Department initially appeared ready to abandon the appeal. Its sudden reversal, however, would allow the administration to continue fighting the cases before the U.S. Court of Appeals for the D.C. Circuit.The law firms criticized the shift, saying the government offered no explanation for changing its position so quickly. They reiterated their commitment to challenging what they view as an unconstitutional attempt to punish law firms for representing disfavored clients. Civil liberties advocates echoed that criticism, arguing the orders represent a misuse of presidential power.The litigation highlights a broader dispute over the limits of executive authority and the independence of the legal profession. As the appeals process continues, the courts will ultimately decide whether the executive orders can survive constitutional scrutiny.BREAKING: DOJ Nixes Plan To Drop Law Firm EO Appeals In About-Face - Law360In quick reversal, DOJ seeks to continue Trump's battle with law firmsA trial beginning in Chicago will examine claims that baby formula made by Abbott Laboratories caused premature infants to develop a serious and potentially deadly intestinal condition known as necrotizing enterocolitis (NEC). The case consolidates lawsuits from four families whose premature children were born in Chicago-area hospitals between 2012 and 2019 and later developed the disease. Although the infants survived, the lawsuits say several required surgery and continue to face long-term health complications.The case is part of a much larger wave of litigation against Abbott and Mead Johnson, the manufacturer of Enfamil. Nearly 1,000 lawsuits have been filed across the country alleging that the companies failed to warn doctors that cow's milk-based formulas used in hospitals may increase the risk of NEC in premature infants. Many of those cases are consolidated in federal court in Illinois, while others are pending in state courts.Abbott denies that its formulas cause the disease and maintains that the products are medically necessary when mothers cannot produce enough breast milk. The company and other researchers point to evidence suggesting that the higher risk of NEC is linked to the absence of breast milk rather than exposure to formula itself.Previous trials involving similar claims have produced mixed results. Some juries have awarded large verdicts to families, including multimillion-dollar judgments against both Abbott and Mead Johnson, though those decisions are currently under appeal. Other cases have resulted in defense wins or retrials, and several potential bellwether cases in federal court have been dismissed.The Chicago trial, which begins with jury selection, is expected to last several weeks and could influence how the remaining lawsuits move forward. With hundreds of similar claims still pending, the outcome may play an important role in shaping the broader litigation over infant formula and NEC.Abbott set to face trial over claims premature infant formula caused deadly disease | ReutersIn this week's column, I look at a new California proposal that attempts to sidestep the federal cap on state and local tax (SALT) deductions by reclassifying vehicle sales taxes as licensing fees. The idea is simple: if the charge is treated as a property-style fee instead of a sales tax, it could fall into a category that allows taxpayers to make greater use of their federal SALT deduction. Supporters frame the proposal as middle-class tax relief and a way to reduce the amount of federal revenue flowing out of California. But while the policy is clever, its practical benefits would be limited and uneven.The proposal follows a familiar strategy used since the 2017 tax law capped SALT deductions: when one type of tax becomes less deductible, lawmakers try to redesign the tax structure so the revenue flows through a category that remains deductible. California's approach focuses on vehicle purchases, where sales taxes are currently difficult to deduct for many residents. By redefining those charges as licensing fees, lawmakers hope taxpayers could claim them alongside property taxes under the federal deduction cap.In practice, though, most lower-income taxpayers wouldn't benefit at all. Many households take the standard deduction rather than itemizing, especially after recent tax reforms increased its size. For those taxpayers, changing the label on a vehicle tax doesn't meaningfully change their federal tax bill. Even for many itemizers, the savings would likely be small.The proposal mainly helps a narrow band of higher-earning taxpayers—people with substantial state and property taxes who are still just below the federal SALT cap. For them, a vehicle purchase could generate a deductible amount that meaningfully lowers their federal tax liability. But that advantage grows with the price of the car and the taxpayer's marginal tax rate, which means the largest benefits flow to relatively affluent households.If the goal is truly middle-class relief, a more direct approach would likely work better. For example, a refundable state tax credit tied to vehicle purchases could help working families without depending on federal deduction rules or itemization. Another long-term option would be shifting some of California's tax burden from individuals to businesses, since certain business-level taxes remain deductible federally.California's proposal shows the creativity that the SALT deduction cap has sparked among state policymakers. The real question, however, is whether clever tax reclassification is the right tool—or whether more straightforward policies aimed directly at middle-income taxpayers would produce fairer and more predictable results.California SALT Deduction Proposal Is More Clever Than Helpful This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

In this conversation, Mayur Mistry interviews Jameson Hartman, Vice President of RET Ventures, discussing his career journey, the operations of RET Ventures, and the current landscape of venture capital in construction and real estate technology. Jameson shares insights on the challenges and opportunities in the industry, the importance of data organization for startups, and advice for aspiring founders and venture capitalists. The discussion also touches on the impact of AI on deal flow and due diligence, as well as the need for technology solutions that enhance the resident experience in real estate.   Takeaways   Jameson Hartman tripped into investment banking at Goldman Sachs. RET Ventures focuses on strategic investments in real estate tech. The fund typically invests in Series A companies with product market fit. A week at RET involves supporting portfolio companies and finding new investments. AI has increased the number of startups but also the complexity of due diligence. Seamless technology solutions are needed in the real estate rental process. Construction tech presents significant opportunities for disruption. Founders should focus on the user experience, not just the decision-makers. Organized data and clear value propositions are crucial for startups. Long-term relationships with clients are more valuable than short-term sales.   Chapters   00:00 Introduction to Jameson Hartman and RET Ventures 01:28 Career Journey and Highlights 03:05 A Week in the Life at RET Ventures 05:05 Navigating the AI Bubble in Venture Capital 07:29 Technology Solutions for Real Estate Challenges 09:28 Opportunities for Disruption in Construction Tech 10:43 Identifying Oversaturated Markets in PropTech 13:22 Advice for Early Stage Founders 16:33 Lessons from Founders' Mistakes 18:48 Advice for Aspiring Venture Capitalists 21:25 Rapid Fire Round and Closing Thoughts  

Las bolsas estadounidenses intentan recuperar parte del terreno perdido en la negociación del miércoles. Los atisbos de una posible resolución de la guerra entre Estados Unidos e Israel contra Irán ayudan a calmar el nerviosismo geopolítico que ha preocupado a los inversores esta semana. Sin embargo, los ataques con drones iraníes podrían perturbar el estrecho de Ormuz durante meses, pero no está tan claro cuánto tiempo podría mantener la República Islámica su bombardeo con misiles. La tecnología en general y los chips en particular ayudan a impulsar al Nasdaq, mientras que las recientemente castigadas pequeñas empresas, el comercio minorista y el consumo discrecional se benefician de las compras de oportunidad. Goldman Sachs ve "riesgos de corrección" para las acciones mundiales a corto plazo debido a la preocupación geopolítica, la disrupción de la inteligencia artificial y las altas valoraciones, pero el banco de Wall Street considera que el margen para un mercado bajista es limitado. Analizamos el mercado con David Macià, director de Inversiones y Estrategia de Mercados de Creand AM.

Click Here to Get All Podcast Show Notes!What does it take to succeed at the highest level? In this episode, Sharran shares the 10 lessons he learned while working at Goldman Sachs. These lessons shaped his approach to success, business, and life. Sharran breaks down the core principles that helped him excel in one of the most competitive environments in the world and helped him navigate the world of high-stakes finance. These principles, though learned at Goldman Sachs, apply to anyone looking to build a successful career and make a lasting impact. If you want to learn the key lessons that have shaped some of the wealthiest and most successful people in the world, this episode is packed with insights that will help you achieve your goals. “If you want to learn how to work hard, put yourself in an environment that forces it. When you choose to compete in a place where everyone is exceptional, where effort is the only advantage left, that's when you'll finally learn what you are truly capable of.”- Sharran SrivatsaaTimestamps:01:48 - How to make $100,000 out of thin air03:10 - Long-term greed and relationship-building05:17 - The power of responsiveness06:39 - Owning the bad news08:27 - The importance of hard work paranoia09:50 - Thinking in frameworks for better understanding11:41 - The power of brand recognition12:46 - Finding the right people to champion you15:20 - The power of a whole firm working as one17:10 - Setting and respecting the rules of engagementResources:- YouTube Video: Everything They Teach You at Goldman Sachs in 17 Minutes - https://youtu.be/luvQRkxM-pQ?si=AcqY4HWh6W1QDiEx- The Next Billion by Sharran Srivatsaa - https://sharransrivatsaa.substack.com/- Acquisition.com - https://www.acquisition.com/- Board Member: ARC Multifamily Real Estate Investing - https://arcmf.com/- Board Member: The Real Brokerage - https://www.joinreal.com/Connect with Sharran:- Facebook - https://www.facebook.com/likesharran- Instagram - https://www.instagram.com/sharransrivatsaa/- X - https://x.com/sharran- LinkedIn - http://www.linkedin.com/in/sharran- YouTube - https://www.youtube.com/channel/UCzpl_gT1bVB1iNZl9yQbWuA?sub_confirmation=1- Threads - https://www.threads.com/@sharransrivatsaa

The government is playing-down impact the Iran conflict could have on energy prices here, as global oil and gas prices surge in the wake of the attacks by the US and Israel. It's seen traffic grind to a halt through the Strait of Hormuz, a crucial shipping route connecting the Persian Gulf with open ocean. The price of brent crude oil has risen by around 9 percent since, while Goldman Sachs is forecasting liquefied natural will more than double in price if the disruption continues through March. A leading economist says Kiwi motorists will start to see significant price rises at the pump in the coming weeks. Giles Dexter reports.

Goldman Sachs Research's Daan Struyven, co-head of Global Commodities Research and Head of Oil Research, discusses how the strikes in Iran could affect the oil market, commodities, and energy prices. This episode was recorded on March 2nd, 2026. The opinions and views expressed herein are as of the date of publication, subject to change without notice, and may not necessarily reflect the institutional views of Goldman Sachs or its affiliates. The material provided is intended for informational purposes only, and does not constitute investment advice, a recommendation from any Goldman Sachs entity to take any particular action, or an offer or solicitation to purchase or sell any securities or financial products. This material may contain forward-looking statements. Past performance is not indicative of future results. Neither Goldman Sachs nor any of its affiliates make any representations or warranties, express or implied, as to the accuracy or completeness of the statements or information contained herein and disclaim any liability whatsoever for reliance on such information for any purpose. Each name of a third-party organization mentioned is the property of the company to which it relates, is used here strictly for informational and identification purposes only and is not used to imply any ownership or license rights between any such company and Goldman Sachs. A transcript is provided for convenience and may differ from the original video or audio content. Goldman Sachs is not responsible for any errors in the transcript. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at http://www.gs.com/research/hedge.html Goldman Sachs does not endorse any candidate or any political party. © 2026 Goldman Sachs. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

Carole Benaroya a quitté Goldman Sachs pour créer une marque de cachemire qui compte aujourd'hui plus de 50 boutiques, dont une à New York.13 années dans la finance avec une pression constante et une perte de confiance.Ce n'est pas une histoire romantique de reconversion improvisée. C'est une trajectoire stratégique mûrie pendant 4 ans en parallèle d'un métier qu'elle aimait profondément.Dans cet épisode, Carole raconte l'échec qui l'a transformée, les gilets jaunes qui ont failli l'arrêter, l'explosion inattendue pendant le Covid, et les arbitrages parfois musclés d'une entreprise fondée avec son mari et sa meilleure amie.On parle de contrôle du capital, de retail à l'ère du digital, d'impatience en négociation, et de ce que signifie vraiment entreprendre en couple depuis 25 ans. Une conversation dense, stratégique mais profondément humaine.Bonne écoute ✨Chapitrage 00:00 – De Goldman Sachs au cachemire : le grand virage04:00 – Burn-out et perte de confiance en soi07:20 – Créer une marque à trois (avec son mari et sa meilleure amie)12:45 – Le positionnement : “le cachemire cool”26:24 – 8 ans avant le vrai décollage32:44 – Ouvrir une boutique à New York46:04 – Les gilets jaunes : la période la plus difficile49:09 – Le crible du Podcast1:01:07 – Le livre qui a changé sa visionNotes et références de l'épisode ✨ Pour retrouver Carole Benaroya : Sur InstagramSur Linkedin✨ Pour retrouver la marque Kujten : Sur leur siteSur InstagramSur Facebook✨ Pour retrouver les livres recommandés par Carole Benaroya : L'Alchimiste de Paulo CoelhoLe Petit Prince de Antoine de Saint-Exupéry#Entrepreneuriat#ReconversionProfessionnelle#BusinessAuFéminin#Retail#Ecommerce#DeveloppementInternational#EntreprendreEnCouple#LeadershipFéminin#BurnOut#ModeEntrepreneuriale#CreationDeMarque#StrategieBusiness#PodcastBusiness#PaulineLaigneauVous pouvez consulter notre politique de confidentialité sur https://art19.com/privacy ainsi que la notice de confidentialité de la Californie sur https://art19.com/privacy#do-not-sell-my-info.

As markets grapple with the U.S. and Israel joint attack on Iran, Diane King Hall turns to stock movers kicking off the new trading week. CrowdStrike's (CWRD) upgrade from Piper Sandler signals what the firm calls a "best in class" cybersecurity platform that didn't deserve a part in the software sell-off. Diane points to a Novo Nordisk (NVO) downgrade from Goldman Sachs and Berkshire Hathaway's (BRK/B) earnings hitting those stocks. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Women now own nearly 42% of all U.S. companies, significantly contributing to the economy as increased access to funding, mentorship, and digital tools breaks down traditional barriers. Initiatives such as All Raise and Goldman Sachs' One Million Black Women are expanding funding opportunities and supporting the growth of women-led startups. Companies led by women are outperforming peers in innovation and profitability, building inclusive cultures that emphasize flexibility and equitable advancement. Technology, including e-commerce and AI-driven analytics, enables women entrepreneurs to reach wider audiences and adapt to market changes. Many women founders are integrating sustainability, education, and community development into their business models, attracting mission-aligned customers and investors. Persistent challenges include funding gaps, limited access to influential networks, systemic bias, and work-life balance, though flexible work models are helping address these issues. Women entrepreneurs can drive their businesses forward by leveraging support networks, embracing digital transformation, championing diversity, and aligning with clear purpose."}Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

In this week's episode of WSJ's Take On the Week, co-hosts Telis Demos and Miriam Gottfried are joined by Rob Kaplan, vice chairman at Goldman Sachs and a former Federal Reserve president, to break down some big topics in markets. They discuss the market's reaction to the Supreme Court's decision to strike down the Trump administration's tariffs under the International Emergency Economic Powers Act. Then Kaplan explains why investors are repositioning into "HALO" stocks—short for Heavy Assets, Low Obsolescence—like McDonald's, Walmart and ExxonMobil. After the break, the conversation turns to the Federal Reserve's new look at mortgage-market regulations and how freeing up bank capital could unleash funding in the housing market. Finally, Kaplan previews the March Fed meeting and the philosophical debate that will loom over the central bank under its potential new leadership: Should it wait to have inflation data in-hand or rely more on forecasting? This is WSJ's Take On the Week where co-hosts Telis Demos, Heard on the Street's banking and money columnist, and Miriam Gottfried, WSJ's investing and wealth management reporter, cut through the noise and dive into markets, the economy and finance—the big trades, key players and business news ahead. Have an idea for a future guest or episode? How can we better help you take on the week? We'd love to hear from you. Email the show at takeontheweek@wsj.com. To watch the video version of this episode, visit our WSJ Podcasts YouTube channel or the video page of WSJ.com Further Reading Supreme Court Strikes Down Trump's Global Tariffs Trump Said He Signed Order for 10% Global Tariff Trump Boosts New Global Tariff to 15% After Supreme Court Setback Wall Street's Latest Bet Is on ‘HALO' Companies With AI Immunity Walmart Shares Are Expensive AI Insurance For more coverage of the markets and your investments, head to WSJ.com, WSJ's Heard on The Street Column, and WSJ's Live Markets blog. Sign up for the WSJ's free Markets A.M. newsletter.  Follow Miriam Gottfried here and Telis Demos here.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Cinderella CEO On Air Podcast Host Cary Broussard interviews guest Cynthia Nevels.  The title of this podcast episode is "Once Upon a Fortune" because Cynthia knows what it takes to create businesses that scale, attract capital, and make an impact. She literally spins ideas into gold.She is the Founder of Integrality LLC and early stage start up Start.Pivot.Grow. Cynthia's LinkedIn profile:https://www.linkedin.com/in/cynthianevels/ and website:https://www.integralityllc.com/team/cynthia-nevelsCary and Cynthia speak at length about her new book Big Tiny Money, based on Cynthia's newest real estate venture with Tiny Home communities.Cynthia Nevels has been an advisor to Goldman Sachs through the NYU Stern School of Business, One Million Black Women business education program and to10,000 small businesses in Dallas, also funded by Goldman Sachs. She partners with CEOs and founders who are ready to break through revenue plateaus and achieve transformational growth — from $250K to $25M+.As a Growth Strategist, Fractional COO, and Impact Investor, Cynthia brings 20+ years of experience designing strategies, building systems, and preparing companies for sustainable expansion and capital access.  Michelle Bernier, venture capital professional, and strategic leader with Liberty Ventures Network, joins Cary for this interview with Cynthia to ask key questions and share insights from the investor side of the table.

Starting off in FOLLOW UP, we've got a tax economist who actually made money betting against the "efficiency" of Elon's budget-slashing fever dreams, while Tesla is busy trying to dodge a $243 million jury verdict for an Autopilot-assisted fatality. Not content with being legally liable, Tesla is also suing the California DMV because they're offended someone called their "Autopilot" and "Full Self-Driving" marketing deceptive—ironic, since Jack Dorsey just "proactively" halved the staff at Block to make room for more AI slop. Speaking of which, Goldman Sachs is here to remind us that all this AI spending added a grand total of zero to the US GDP last year, mostly because we're just exporting all that cash to overseas chip makers while 80% of execs admit the tech hasn't actually done anything for productivity yet.Moving into IN THE NEWS, Sam Altman had the audacity to compare ChatGPT's energy-sucking habits to the 20-year evolution of a human, though the internet wasn't exactly buying the "my bot is just like a baby" defense. Anthropic actually stood its ground against the Pentagon's demand for killer robots and mass surveillance, so naturally, the military just signed a deal to put Elon's Grok in their classified systems instead—because what could go wrong with an "edgy" LLM in the war room? Meanwhile, cities are dumping AI surveillance contracts as citizens start a literal "smash-the-snitch-box" campaign against Flock's license plate readers, Google's AI is busy inserting racial slurs into news alerts, and the White House is apparently harboring a staffer moonlighting as a racist "masterpiece" creator on X. We've also got Reddit being slapped with a $20 million fine in the UK for being lazy with age checks, while Discord and Apple scramble to build verification tools that hopefully won't leak your entire identity to a hacker in Belarus.In MEDIA CANDY, the Paramount-Skydance merger is leaving the industry in a cold sweat of "synergy" layoffs, but at least we're getting more Game of Thrones spinoffs and Star Trek reboots to rot our brains. Face/Off 2 lost its director, Ryan Coogler is taking on The X-Files, and Google wants to use AI to turn music into generic "lo-fi" background noise for the masses.Over in APPS & DOODADS, OpenAI is planning a 2027 smart speaker that literally watches you through a camera—because you definitely wanted a $300 Sam Altman-shaped eye in your kitchen—while the Dark Sky creators are back with "Acme Weather" for the low price of $25 a year.We wrap up THE DARK SIDE WITH DAVE with a deep dive into "Under Pressure" and Coruscant's urban sprawl, leaving us to reminisce about the days when KPT Bryce was the pinnacle of tech—back when "generative art" was just a fractal that took six hours to render.Sponsors:DeleteMe - Get 20% off your DeleteMe plan when you go to JoinDeleteMe.com/GOG and use promo code GOG at checkout.SquareSpace - go to squarespace.com/GRUMPY for a free trial. And when you're ready to launch, use code GRUMPY to save 10% off your first purchase of a website or domain.Private Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/735Watch on YouTube: https://youtu.be/jdz--v3eeU4FOLLOW UPGuy Bets Entire Life Savings Against Elon Musk, WinsTesla sues California DMV after it banned the term 'Autopilot'Jack Dorsey just halved the size of Block's employee base — and he says your company is nextIN THE NEWSSam Altman: Know What Else Used a Lot of Energy? Human CivilizationStatement from Dario Amodei on our discussions with the Department of WarAnthropic Tells Pete Hegseth to Take a HikeCities Are Shredding Their AI Surveillance Contracts en MasseKalshi Suspended a California Politician and a YouTuber for Insider TradingDiscord delays age verification to address user concernsApple introduces age verification for apps in Utah, Louisiana and AustraliaMEDIA CANDYAs Paramount Skydance wins the battle for Warner Bros. as Netflix ends its bid, here's the mood inside all three companies.A Knight of the Seven KingdomsStar Trek: Starfleet AcademyThe Night Agent Season 3'Face/Off 2' Director Adam Wingard is Now/GoneRyan Coogler's X-Files reboot gets the green light at HuluMortal Kombat II | Official Trailer IIGoogle's AI Slop Machine Is Coming for Your MusicDropping Names... and other things with Jonathan Frakes and Brent SpinerOnce We Were SpacemenAPPS & DOODADSOpenAI will reportedly release an AI-powered smart speaker in 2027Instagram Will Notify Parents When Teens Use Search Terms Related to SuicideThe creators of Dark Sky have a new weather appThis App Warns You if Someone Is Wearing Smart Glasses NearbyTHE DARK SIDE WITH DAVEDave BittnerThe CyberWireHacking HumansCaveatControl LoopOnly Malware in the BuildingStrong Songs - S08E02 - "Under Pressure" by Queen and David BowieThe Problem with Coruscant (Planet Cities Explained)Reminds me of KPT Fractal ExplorerKPT Bryce 1.0 with John Dvorak and Kai KrauseSingle-Biome PlanetKPT Shapes by Dave BittnerBald Mr Clean mascot "retired"My childhood disappointment with scrubbing bubbles.CLOSING SHOUT-OUTSActor Robert Carradine Dies At Age 71See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Plus: Private credit concerns send Goldman Sachs stocks down. And Dell shares jump after a huge increase in its quarterly sales. Katherine Sullivan hosts. Sign up for the WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Learn more about your ad choices. Visit megaphone.fm/adchoices

Building a successful sales career isn't just about hitting quotas—it's about intentional career planning, fostering creativity, and creating environments where talent can flourish. Too many organizations focus solely on product training while neglecting the human element that drives revenue growth. In this conversation with Edward Allen, Chief Revenue Officer at Measurabl, we explore how strategic career development and creative thinking can transform both individual trajectories and organizational performance. Edward shares insights from his 30-year journey through financial services and technology, revealing how simple yet structured approaches to talent development can reduce attrition and accelerate growth.          The Power of Structured Career Conversations Edward discusses his quarterly career development framework—a departure from traditional annual reviews that often come too late. These conversations focus on understanding what employees truly want to do, what they don't enjoy, and exploring possibilities they may not even know exist within the organization. Creating Roles That Don't Exist One of the most compelling aspects of our discussion centers on encouraging team members to pitch entirely new roles. Edward shares his own experience of giving up a $400 million book of business to create a new position that ultimately quadrupled revenue for underperforming divisions. Revenue Hackathons and Cross-Functional Innovation We explore how bringing together diverse perspectives—from finance to legal to frontline sales reps—can solve complex business challenges in unexpected ways. Edward explains how cognitive diversity becomes an accelerant for innovation when you create the right forum for ideas to emerge. Here's what you can expect to gain from this episode: ·        A framework for conducting meaningful quarterly career development conversations that reduce surprise departures ·        Strategies for identifying and developing hidden internal talent through cross-functional moves ·        Methods for ensuring junior team members' voices are heard and valued in revenue planning ·        The importance of portable skills training that benefits both current performance and future career growth ·        How to structure feedback systems that encourage innovation from the bottom up Edward's approach challenges conventional hierarchical thinking and demonstrates how investing in people development directly correlates to revenue outcomes. Whether you're managing a small team or leading a large organization, these principles can help you build a culture where creativity thrives and careers flourish. Key Moments of This Episode 00:00:52 - Introduction to Edward Allen and Measurabl Mario introduces Edward Allen, Chief Revenue Officer of Measurabl, a sustainability data and technology company. Edward shares his 30-year career journey from Goldman Sachs to leading revenue teams, highlighting his transition from financial services to fintech and his current role at Measurabl. 00:04:23 - From Acting Dreams to Sales Success Edward reveals his unexpected career path, sharing how he initially pursued acting at the American Academy of Dramatic Arts before pivoting to Goldman Sachs. This personal story demonstrates the importance of taking risks and finding your true calling in professional development. 00:06:48 - Building Structured Career Development Systems Edward discusses implementing quarterly career development conversations with direct reports, moving beyond traditional annual reviews. He emphasizes asking "how do you like your job?" and creating formal processes to understand employee aspirations and reduce regrettable attrition. 00:14:00 - Investing in Portable Skills Training The conversation shifts to training philosophy, with Edward advocating for soft skills development over product training. He shares examples of negotiation training, social psychology, and certification programs that employees can take anywhere, creating value for both current and future roles. 00:20:35 - Creating Accountability for Career Development Edward explains how to systematize career development through metrics and KPIs, including personal development goals, manager scorecards, and tracking regrettable attrition. He emphasizes making career growth visible and celebrated within the organization to drive engagement and retention. 00:32:22 - Unlocking Hidden Internal Talent Discussion focuses on cross-functional moves and international opportunities. Edward advocates for 60-day internal job postings before external searches, sharing examples of unexpected internal candidates who became successful in new roles across different geographies and functions. 00:35:58 - Running Revenue Hackathons for Innovation Edward explains the concept of revenue hackathons, bringing together diverse teams including finance, legal, and sales operations to solve business challenges. He shares a success story of creating email-based contracting for Fortune 100 clients through collaborative innovation. 00:39:25 - Amplifying Junior Voices in Sales Culture The discussion covers strategies for ensuring junior employees' ideas are heard, including reverse-order meetings (starting with junior staff), documenting all feedback, and providing follow-up on suggestions. Edward emphasizes the importance of recognition and creating safe spaces for innovation. 00:54:23 - Contact Information and Closing Edward provides his contact details, and the hosts wrap up with his favorite movie recommendation. The episode concludes with information about the Modern Selling podcast and promotional content for productivity tools. About Edward Allen Edward Allen is the Chief Revenue Officer and member of the Executive Committee at Measurabl. Measurabl is the world's most widely adopted sustainability data and analytics platform, empowering over 1,000 customers across 93 countries to achieve great levels of profitability.  The company serves the needs of investment managers, asset owners, real estate operators and banks and insurance companies. Prior to Measurabl, Edward worked for 20 years at MSCI where he led strategy and grew top line revenue across a multitude of data and analytic businesses.  He started his career in financial services at Goldman Sachs in the Institutional Advisory Services group. Edward received his Bachelor's Degree in Political Science from Boston University, his Master's in Business Administration from HEC School of Management in Paris, also spending time studying at London Business School. Follow Us On: ·        LinkedIn ·        Twitter ·        YouTube Channel ·        Instagram ·        Facebook Learn More About FlyMSG Features Like: ·        LinkedIn Auto Comment Generator ·        AI Social Media Post Generator ·        Auto Text Expander ·        AI Grammar Checker ·        AI Sales Roleplay and Coaching ·        Paragraph Rewrite with AI ·        Sales Prospecting Training for Individuals ·        FlyMSG Enterprise Sales Prospecting Training Program Install FlyMSG for Free: ·        As a Chrome Extension ·        As an Edge Extension  

Goldman Sachs' Head of Hedge Funds Tony Pasquariello gives us his take on the broader market, big tech, software and much more. Plus, Aswath Damodaran – so-called Dean of Valuation – says he is as cautious as he's been his entire career. And, Tom Lee from Fundstrat helps us wrap up the trading month. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Malcolm Ethridge of Capital Area Planning Group makes the bullish case while Warren Pies of 3Fourteen Research turns more cautious and outlines where oil prices may head next. Rising attention around private credit and activity at Jefferies as investors search for yield and alternative sources of return. Looking ahead, attention turns to next week's key earnings report from Target. Chris Horvers, Head of Broadlines at JPMorgan, explains why he is lowering fourth quarter comp estimates and why new leadership could reset guidance expectations. Salveen Richter of Goldman Sachs outlines how AI is beginning to deliver tangible benefits in biotech and healthcare, particularly in early drug discovery and development, and why that could translate into both top line and bottom line gains for adopters. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Emerging market equities have continued to rally in 2026. What's driving the gains, and where are the opportunities now? Stratford Dennis, head of emerging market equities trading in Goldman Sachs Global Banking & Markets, discusses with Chris Hussey on the Goldman Sachs trading floor. Recorded on February 26, 2026. The opinions and views expressed herein are as of the date of publication, subject to change without notice, and may not necessarily reflect the institutional views of Goldman Sachs or its affiliates. The material provided is intended for informational purposes only, and does not constitute investment advice, a recommendation from any Goldman Sachs entity to take any particular action, or an offer or solicitation to purchase or sell any securities or financial products. This material may contain forward-looking statements. Past performance is not indicative of future results. Neither Goldman Sachs nor any of its affiliates make any representations or warranties, express or implied, as to the accuracy or completeness of the statements or information contained herein and disclaim any liability whatsoever for reliance on such information for any purpose. Each name of a third-party organization mentioned is the property of the company to which it relates, is used here strictly for informational and identification purposes only and is not used to imply any ownership or license rights between any such company and Goldman Sachs. A transcript is provided for convenience and may differ from the original video or audio content. Goldman Sachs is not responsible for any errors in the transcript. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at http://www.gs.com/research/hedge.html Goldman Sachs does not endorse any candidate or any political party. © 2026 Goldman Sachs. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

Tech wreckage is cutting the knees off the market, and the volatility panel is seeing red. This week, Mark Longo, Mark Sebastian, and Russell Rhoads dive into why the VIX is firming up despite the market sitting near all-time highs. Topics Breakdown: The Inflation Ghost: Why hotter inflation data is spooking the vol curve and keeping VIX above 20. The March 35 Calls: Why is this strike dominating the tape every single day? UVIX Management: A deep dive into "The Riddle of UVIX." We workshop how to use covered calls to offset decay without capping your "catastrophe hedge" upside. Election Vol: The November VIX cycle has entered the chat. Is it too early to hedge the midterms? Institutional Skullduggery: Discussing the Jane Street/Bitcoin lawsuit and the "Goldman Sachs fist punch" in financials. Visit https:// tastytrade.com/podcasts to see their latest offers.

Tech wreckage is cutting the knees off the market, and the volatility panel is seeing red. This week, Mark Longo, Mark Sebastian, and Russell Rhoads dive into why the VIX is firming up despite the market sitting near all-time highs. Topics Breakdown: The Inflation Ghost: Why hotter inflation data is spooking the vol curve and keeping VIX above 20. The March 35 Calls: Why is this strike dominating the tape every single day? UVIX Management: A deep dive into "The Riddle of UVIX." We workshop how to use covered calls to offset decay without capping your "catastrophe hedge" upside. Election Vol: The November VIX cycle has entered the chat. Is it too early to hedge the midterms? Institutional Skullduggery: Discussing the Jane Street/Bitcoin lawsuit and the "Goldman Sachs fist punch" in financials. Visit https:// tastytrade.com/podcasts to see their latest offers.

Recent disclosures from congressional investigations and documents tied to the Epstein estate have exposed a far deeper and more personal relationship between Kathryn Ruemmler and Jeffrey Epstein than previously acknowledged, raising serious questions about her judgment and fitness to serve as general counsel of Goldman Sachs. Emails and schedules show she met with Epstein dozens of times between 2014 and 2019 — long after his 2008 conviction for soliciting a minor — and that their communication ranged from career advice and personal travel planning to repeated informal exchanges, which some insiders view as far beyond the scope of mere professional interaction. She was even named as a backup executor in an early version of Epstein's will, a detail that triggered internal alarm at Goldman once it became public, and suggests a level of trust and intimacy that many observers find profoundly inappropriate given Epstein's crimes. The revelations directly undermine her role on Goldman's Reputational Risk Committee, where she helps decide which clients and relationships could endanger the firm's ethical standing.Even after Goldman's leadership publicly defended Ruemmler and denied any formal plans to replace her, the controversy has not dissipated; critics argue that the firm's insistence on keeping her in a top legal and governance role reflects a troubling tolerance for ethical ambiguity when it benefits powerful insiders. Some executives reportedly view Ruemmler as a potential liability whose past associations were not fully disclosed or understood at the time of her hiring, and whose continued presence on ethics-related committees sends a poor message about the bank's commitment to accountability and moral judgment. The fact that these revelations emerged only through released documents and not proactive disclosure further fuels skepticism about transparency at the highest levels of Goldman Sachs, intensifying scrutiny from investors, lawmakers, and corporate governance watchdogs.to contact me:bobbycapucci@protonmail.comsource:New court doc asserts former Obama WH counsel advised Jeffrey Epstein during critical reputational and legal battles | CNN Politics

Today we're talking to Jelena Radonjic, an award-winning career and leadership coach, who has coached 350+ clients worldwide, empowering them to thrive in the careers they love. With 25+ years in global recruitment and business education management, including MBA and EMBA careers, Jelena works with senior and mid-career professionals helping them achieve an average of 38% annual compensation increase, in in addition to career alignment and fulfillment. Through her powerful blend of career, business and leadership coaching coupled with transformational coaching, Jelena has elevated careers of global talent from Amazon, Uber, eBay, Siemens, HSBC, Goldman Sachs, BP, AstraZeneca, Diageo, Vodafone, Accenture, Deutsche Bank, GSK, The Cabinet Office, and many others.A CTI qualified coach, Jelena has worked with thought leaders such as Deepak Chopra and John Demartini, she is a Forbes Coaches Council member, speaker, and author. Having lived and worked in 3 countries, including Japan, she is multilingual and culturally sensitive. She is passionate about the Future of Work, Equity, Diversity and Inclusion and partners with individuals and organisations to create improved work life outcomes.Connect with Jelena:www.whatwork.co.uk  Jelena & What Work Career Coaching https://whatwork.co.uk/career-fitness-quiz/  Career Fitness Quiz - get a personalised report on the level of your Career Fitness!https://www.linkedin.com/in/jelena-radonjic-careerandleadership-coach/  Follow Jelena on LinkedIn to gain unique insights into the world of careers, and subscribe to her Career Growth Lane newsletter on LinkedinWhat resonated most with you?DM me on IG www.instagram.com/liveintechnicolor_If you enjoyed this episode, follow the podcast and leave a review! Remember - you're amazing and thank you for being here!Love, BaibaSupport the show

Recent disclosures from congressional investigations and documents tied to the Epstein estate have exposed a far deeper and more personal relationship between Kathryn Ruemmler and Jeffrey Epstein than previously acknowledged, raising serious questions about her judgment and fitness to serve as general counsel of Goldman Sachs. Emails and schedules show she met with Epstein dozens of times between 2014 and 2019 — long after his 2008 conviction for soliciting a minor — and that their communication ranged from career advice and personal travel planning to repeated informal exchanges, which some insiders view as far beyond the scope of mere professional interaction. She was even named as a backup executor in an early version of Epstein's will, a detail that triggered internal alarm at Goldman once it became public, and suggests a level of trust and intimacy that many observers find profoundly inappropriate given Epstein's crimes. The revelations directly undermine her role on Goldman's Reputational Risk Committee, where she helps decide which clients and relationships could endanger the firm's ethical standing.Even after Goldman's leadership publicly defended Ruemmler and denied any formal plans to replace her, the controversy has not dissipated; critics argue that the firm's insistence on keeping her in a top legal and governance role reflects a troubling tolerance for ethical ambiguity when it benefits powerful insiders. Some executives reportedly view Ruemmler as a potential liability whose past associations were not fully disclosed or understood at the time of her hiring, and whose continued presence on ethics-related committees sends a poor message about the bank's commitment to accountability and moral judgment. The fact that these revelations emerged only through released documents and not proactive disclosure further fuels skepticism about transparency at the highest levels of Goldman Sachs, intensifying scrutiny from investors, lawmakers, and corporate governance watchdogs.to contact me:bobbycapucci@protonmail.comsource:New court doc asserts former Obama WH counsel advised Jeffrey Epstein during critical reputational and legal battles | CNN PoliticsBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-moscow-murders-and-more--5852883/support.

February 24, 2026: Five major stories broke in the last 24 hours at the intersection of AI and the future of work — and they're all in conversation with each other. Anthropic launched Claude directly inside Excel, PowerPoint, and Slack, making its biggest move yet into everyday knowledge work. A Federal Reserve governor said on the record that if AI drives unemployment, interest rate cuts — the government's go-to economic tool — may not be able to fix it. Goldman Sachs revealed that despite hundreds of billions in AI investment, it may have contributed almost nothing to U.S. economic growth last year. Yale's Budget Lab pushed back on the AI productivity revolution narrative, saying the data simply doesn't support it yet. And a financial research firm's fictional scenario set in 2028 went so viral it triggered a major market selloff.  

February 25, 2026: This week Anthropic — one of the companies most associated with responsible AI — gutted the safety commitment it made in 2023. The same week the Pentagon gave its CEO a Friday ultimatum: allow military use of your AI or lose a $200 million contract. Meanwhile Jamie Dimon went on record at a JPMorgan investor meeting and confirmed something most CEOs won't say out loud: AI is already displacing his workers, their redeployment infrastructure can't keep up with the pace of it, and society needs to start thinking seriously about what comes next. I also cover why Big Tech is paying up to $1.2 million for communications talent — and what that says about which human skills are becoming most valuable — plus Goldman Sachs and Deutsche Bank deploying AI to surveil their own traders in real time, and LinkedIn's 2026 Skills on the Rise report, which tracks which skills are actually converting to job offers. 

Recent analysis from Goldman Sachs indicates that $700 billion in AI investment during 2025 resulted in no measurable U.S. GDP growth, with most AI equipment imports negating domestic benefits and 80% of surveyed firms reporting no productivity or employment improvements. This pattern suggests that AI-related spending has primarily shifted margins from enterprise IT budgets to a small number of infrastructure vendors rather than delivering distributed value. Internal concerns are rising, with 90% of IT leaders questioning AI's return on investment, and 80% citing fragmented data as a primary challenge to measuring outcomes. Further context reveals that agentic AI initiatives face operational headwinds: Gartner expects 40% of such projects to be cancelled by 2027, and S&P Global found nearly half are abandoned before production, most often due to inadequate planning and data foundations. Margin erosion is widespread, attributed to AI implementation costs, and attempts to scale AI agents into production remain limited by inference costs and insufficient infrastructure. Despite increased adoption efforts, sustainable value delivery from AI platforms remains elusive for most organizations. Enterprise AI access is becoming increasingly concentrated. OpenAI's partnership with consulting firms such as BCG, McKinsey, Accenture, and Capgemini consolidates control of the enterprise distribution layer, narrowing competitive opportunities for smaller providers. Meanwhile, Amazon's 13-hour AWS outage, linked to the misconfiguration of an internal AI tool, underscores the liability ambiguity in agentic systems—where vendors may attribute autonomous actions to user error, complicating risk assignment. Additional updates from vendors such as Anthropic, Cloudflare, and New Relic address incremental technical capabilities, with a distinct focus on cost, operational governance, and policy enforcement. The prevailing themes for MSPs and IT leaders are increased scrutiny of AI value, heightened exposure to cost and accountability risk, and the emergence of managed service opportunities around data governance, cost instrumentation, and liability management. With enterprise market channels consolidating and risk shifting toward service providers, integrating robust contractual definitions for autonomy, incident attribution, and financial boundaries is essential to limit harm and clarify responsibility before incidents occur. Four things to know today 00:00 Goldman: $700B AI Spend Delivered Near-Zero U.S. GDP Growth in 2025 03:49 OpenAI Enlists BCG, McKinsey, Accenture to Distribute Enterprise AI Agents 06:44 Report: Amazon's Own Engineers Prefer Claude Over Its Mandated Internal Tools 08:56 AI Inference Costs Are Falling — But Governance Gaps Are Growing This is the Business of Tech.    Supported by: CometBackup  Small Biz Thoughts Community   

Goldman Sachs Research's Bruce Kirk discusses the implications of Japan's recent snap election and the implications for the equity market and foreign investors.  Date of recording: February 19, 2026.  The opinions and views expressed herein are as of the date of publication, subject to change without notice, and may not necessarily reflect the institutional views of Goldman Sachs or its affiliates. The material provided is intended for informational purposes only, and does not constitute investment advice, a recommendation from any Goldman Sachs entity to take any particular action, or an offer or solicitation to purchase or sell any securities or financial products. This material may contain forward-looking statements. Past performance is not indicative of future results. Neither Goldman Sachs nor any of its affiliates make any representations or warranties, express or implied, as to the accuracy or completeness of the statements or information contained herein and disclaim any liability whatsoever for reliance on such information for any purpose. Each name of a third-party organization mentioned is the property of the company to which it relates, is used here strictly for informational and identification purposes only and is not used to imply any ownership or license rights between any such company and Goldman Sachs. A transcript is provided for convenience and may differ from the original video or audio content. Goldman Sachs is not responsible for any errors in the transcript. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at http://www.gs.com/research/hedge.html Goldman Sachs does not endorse any candidate or any political party. © 2026 Goldman Sachs. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

Click Here to Get All Podcast Show Notes!What does it take to break into the top 0.01%? In this episode, Sharran shares the lessons he learned from the world's most successful people. Drawing from his personal experiences and interactions with billionaires, world-class entrepreneurs, and top performers, he breaks down the seven fundamental principles of success that have shaped his journey. These principles provide the mindset and framework for achieving extraordinary results.Sharran shares stories from his own path, including his conversation with Elon Musk and his experience at Goldman Sachs, revealing how these lessons have propelled him toward massive success.If you're ready to unlock your potential and learn the secrets of elite performers, this episode is a must-listen!“I realized that some are born advisors and some are just born to be entrepreneurs, and it's your job to find the path as soon as possible and be extremely honest with yourself.”- Sharran SrivatsaaTimestamps:02:12 - The power of unreasonable effort04:12 - Dave Matthews' approach to songwriting06:45 - Elon Musk's advice on making fast decisions08:14 - Saying yes to opportunities09:57 - The importance of being in the right environment12:26 - Knowing when to pivot and choose the entrepreneurial path14:06 - Elite performance and preparationResources:- YouTube Video: Everything I Learned From Being Around The Top 0.01% - https://www.youtube.com/watch?v=BZrgkgCF79g- The Next Billion by Sharran Srivatsaa - https://sharransrivatsaa.substack.com/- Acquisition.com - https://www.acquisition.com/- Board Member: ARC Multifamily Real Estate Investing - https://arcmf.com/- Board Member: The Real Brokerage - https://www.joinreal.com/Connect with Sharran:- Facebook - https://www.facebook.com/likesharran- Instagram - https://www.instagram.com/sharransrivatsaa/- X - https://x.com/sharran- LinkedIn - http://www.linkedin.com/in/sharran-

Tonight on GeekNights, we talk about the dangers of trying to mandate age verification on the Internet. In the news, Discord embarks on a disastrous age verification scheme, Anthropic is mad that other "AI" companies are using their product, and Goldman Sachs launches an AI-free index.Related LinksForum ThreadAge Verification on the InternetDiscord ChatAge Verification on the InternetBluesky PostAge Verification on the InternetThings of the DayRym - Unicode ExplorerScott - The Sharp PC-2000 Computer Boombox from 1979

Recent disclosures from congressional investigations and documents tied to the Epstein estate have exposed a far deeper and more personal relationship between Kathryn Ruemmler and Jeffrey Epstein than previously acknowledged, raising serious questions about her judgment and fitness to serve as general counsel of Goldman Sachs. Emails and schedules show she met with Epstein dozens of times between 2014 and 2019 — long after his 2008 conviction for soliciting a minor — and that their communication ranged from career advice and personal travel planning to repeated informal exchanges, which some insiders view as far beyond the scope of mere professional interaction. She was even named as a backup executor in an early version of Epstein's will, a detail that triggered internal alarm at Goldman once it became public, and suggests a level of trust and intimacy that many observers find profoundly inappropriate given Epstein's crimes. The revelations directly undermine her role on Goldman's Reputational Risk Committee, where she helps decide which clients and relationships could endanger the firm's ethical standing.Even after Goldman's leadership publicly defended Ruemmler and denied any formal plans to replace her, the controversy has not dissipated; critics argue that the firm's insistence on keeping her in a top legal and governance role reflects a troubling tolerance for ethical ambiguity when it benefits powerful insiders. Some executives reportedly view Ruemmler as a potential liability whose past associations were not fully disclosed or understood at the time of her hiring, and whose continued presence on ethics-related committees sends a poor message about the bank's commitment to accountability and moral judgment. The fact that these revelations emerged only through released documents and not proactive disclosure further fuels skepticism about transparency at the highest levels of Goldman Sachs, intensifying scrutiny from investors, lawmakers, and corporate governance watchdogs.to contact me:bobbycapucci@protonmail.comsource:New court doc asserts former Obama WH counsel advised Jeffrey Epstein during critical reputational and legal battles | CNN PoliticsBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-epstein-chronicles--5003294/support.

U.S. Customs will stop collecting IEEPA tariffs on Tuesday, after the Supreme Court deemed them illegal, TSA Pre-Check is once again operational, despite the partial government shutdown, Axios reports that Defense Secretary Pete Hegseth will meet with Anthropic CEO Dario Amodei to discuss the military's use of Claude AI, Goldman Sachs has raised its end-of-year oil forecast, and “One Battle After Another” won BAFTA's best film award.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Reports allege Kathryn Ruemmler, top lawyer at Goldman Sachs and former White House counsel, sent Jeffrey Epstein a nonpublic White House email, raising serious questions about access, judgment, and who was communicating with Epstein behind the scenes. Dina Doll reports. Qualia: Magnesium, multiplied. 10 forms for total support. Go to https://qualialife.com/MISSTRIAL to get 50% off and save an extra 15% with the code MISSTRIAL. Visit https://meidasplus.com for more! Remember to subscribe to ALL the MeidasTouch Network Podcasts: MeidasTouch: https://www.meidastouch.com/tag/meidastouch-podcast Legal AF: https://www.meidastouch.com/tag/legal-af MissTrial: https://meidasnews.com/tag/miss-trial The PoliticsGirl Podcast: https://www.meidastouch.com/tag/the-politicsgirl-podcast Cult Conversations: The Influence Continuum with Dr. Steve Hassan: https://www.meidastouch.com/tag/the-influence-continuum-with-dr-steven-hassan The Weekend Show: https://www.meidastouch.com/tag/the-weekend-show Burn the Boats: https://www.meidastouch.com/tag/burn-the-boats Majority 54: https://www.meidastouch.com/tag/majority-54 On Democracy with FP Wellman: https://www.meidastouch.com/tag/on-democracy-with-fpwellman Uncovered: https://www.meidastouch.com/tag/maga-uncovered

Epstein files force Casey Wasserman to sell agency & Goldman Sachs lawyer to resign, Eli Zaret joins us for sports, Evan Dando in masturbating rehab, Meghan Markle lobbies for Brooklyn Beckham, and Rosie O'Donnell sneaks back into the US. Eli Zaret joins the show to chat Winter Olympics, ‘Quad God' Ilia Malinin's bad day, Simone Biles' new breasts, the disappearance of the WNBA, the disappearance of Nancy Guthrie, Polymarket pandemonium, MSU basketball floundering, Michigan passing Arizona for #1, Solomon Tuliaupupu to Montana for his 9th year of college football, the red-hot Detroit Pistons, thoughts on the return of Justin Verlander to the Detroit Tigers, Nick Castellanos' love of beer, Malik Beasley to play in Puerto Rico for Bad Bunny and much more. Leftovers Sports: John Tesh performed Roundball Rock prior to the NBA All-Star Game. Sarah Spain can't take JD Vance at the Olympics. Stanley Tucci is at the Olympics for some reason. Drew brags about his roof and gutter (with leaf guards!). Nobody knows anything about Puerto Rico. Drew educates us. Evan Dando of The Lemonheads was busted sending unsolicited ‘beat off' videos. Other Music: We bring up Tone Loc one time and he ends up in the hospital. Oasis is set to make a new album and tour in 2027. Tool is in talks for a residency at The Sphere in Las Vegas. Epstein Files: Jackie ‘The Joke Man' Martling is in there. Dr. Oz once invited Jeffrey Epstein to a party. Ashleigh Banfield thought Epstein was kind of cute. Tommy Mottola is a rash in the files and Jimmy Fallon has dumped him. Casey Wasserman thinks he's super hot and is selling his talent agency over his involvement with Epstein. Kathryn Ruemmler is the sacrificial lamb of Goldman Sachs. Roman Polanski seems to get quite the pass. Rashee Rice is plowing into influencer Rubi Rose now. Jasleen Singh has returned to the limelight online. She manifested her rich lifestyle by spending Akaash's money. Brooklyn Beckham has unfollowed Gordon Ramsay on social media. Meghan Markle is trying to broker an interview between Beckham and Oprah Winfrey. Why is the Meghan and Oprah interview scrubbed from the internet? Harry and Meghan have the Whitest children possibly ever. Nobody wants to air her garbage Cookie Queens documentary. James Van Der Beek's family raises $2.6M on GoFundMe. They just bought a $4,7M mansion last month! A lot of misinformation is swirling around Nancy Guthrie. Rosie O'Donnell has weaseled her way back into Trump's America. We somehow still have merch. Buy it before it's gone. If you'd like to help support the show… consider subscribing to our YouTube Channel, Facebook, Instagram and Twitter (Drew Lane, Marc Fellhauer, Trudi Daniels, Jim Bentley and BranDon)

At the end of January, Trump's Justice Department released what it said was the last tranche of the Epstein files: millions of pages of emails and texts, F.B.I. documents and court records. Much was redacted and millions more pages have been withheld. There is a lot we want to know that remains unclear.But what has come into clear view is the role Epstein played as a broker of information, connections, wealth and women and girls for a slice of the global elite. This was the infrastructure of Epstein's power — and it reveals much about the infrastructure of elite networks more generally.Anand Giridharadas is something of a sociologist of American elites. He's the author of, among other books, “Winners Take All: The Elite Charade of Changing the World” and the forthcoming “Man in the Mirror: Hope, Struggle and Belonging in an American City.” He also publishes the great newsletter The.Ink.Back in November, after the release of an earlier batch of Epstein files, Giridharadas wrote a great Times Opinion guest essay, taking a sociologist's lens to the messages Epstein exchanged with his elite friends. So after the government released this latest, enormous tranche of materials, I wanted to talk to Giridharadas to help make sense of it. What do they reveal — about how Epstein operated in the world, the vulnerabilities he exploited and what that says about how power works in America today?Note: This conversation was recorded on Tuesday, Feb. 10. On Thursday, Feb. 12, Kathryn Ruemmler announced she would be resigning from her role as chief legal officer and general counsel at Goldman Sachs.This episode contains strong language.Mentioned:“How the Elite Behave When No One Is Watching: Inside the Epstein Emails” by Anand Giridharadas“How JPMorgan Enabled the Crimes of Jeffrey Epstein” by David Enrich, Matthew Goldstein and Jessica Silver-Greenberg“Scams, Schemes, Ruthless Cons: The Untold Story of How Jeffrey Epstein Got Rich” by David Enrich, Steve Eder, Jessica Silver-Greenberg and Matthew GoldsteinBook Recommendations:Random Family by Adrian Nicole LeBlancBehind the Beautiful Forevers by Katherine BooUnpublished Work by Conchita SarnoffThoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast, and you can find Ezra on Twitter @ezraklein. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs.This episode of “The Ezra Klein Show” was produced by Jack McCordick. Fact-checking by Michelle Harris, with Kate Sinclair and Mary Marge Locker. Our senior engineer is Jeff Geld, mixing by Aman Sahota and Isaac Jones. Our executive producer is Claire Gordon. The show's production team also includes Marie Cascione, Annie Galvin, Rollin Hu, Kristin Lin, Emma Kehlbeck, Marina King and Jan Kobal. Original music by Pat McCusker and Aman Sahota. Audience strategy by Kristina Samulewski and Shannon Busta. The director of New York Times Opinion Audio is Annie-Rose Strasser. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ryan, Emily and Griffin break down Jeffrey Epstein's Goldman Sachs Lawyer being ousted and Rubio stoking the humanitarian crisis in Cuba. Then we're joined by Bernie backed NC Congressional candidate Nida Allam who we talk to about ICE, AI Data Centers, and her detractors calling her the Zohran Mamdani of North Carolina. Then we take a look at James Fishback's campaign for the Florida governor race where he refers to cafeteria food as 'goy slop', and James Talarico in Texas adopting the anti oligarchy banner while previously taking donations from Miriam Adelson's casino gambling group. NC Candidate Nida Allam: https://nidaallam.com/ To become a Breaking Points Premium Member and watch/listen to the show AD FREE, uncut and 1 hour early visit: www.breakingpoints.comMerch Store: https://shop.breakingpoints.com/See omnystudio.com/listener for privacy information.