Podcasts about defaults

Wanna work with us? Schedule a call here: https://go.oncehub.com/bookacall Defaults, commercial deals, investor capital, and the lessons hiding inside each one.  In this episode of the Private Lenders Podcast, Jason and Chris break down real-world lending scenarios from summer 2026—including managing defaults, evaluating small-balance commercial loans, deciding when to return excess investor capital, and why high leverage can create problems for both borrowers and lenders. They also share a recent default exit that turned into a win-win, proving that creative solutions and disciplined underwriting can matter just as much as the loan terms.  Real deals. Real lessons. Smarter lending.  ✅ Please like, subscribe, and share! ✅ Are you a new or experienced private lender or hard money lender? Join Jason Balin and Chris Haddon from Hard Money Bankers as they draw from their extensive experience running a successful hard money lending company since 2007. Tune in weekly with episodes related to all aspects of private lending. From discovering lucrative loan opportunities to securing private capital, effectively managing your loan portfolio, handling defaults, and much more, we've got you covered. ✔️ Tune in now and watch the full video podcast at www.privatelenderspodcast.com ✔️If you enjoyed this podcast we would appreciate a positive review... https://podcasts.apple.com/us/podcast/private-lenders-podcast/id1476153070 ✔️Make sure to check out the #1 Online Community For New and Experienced Private and Hard Money Lenders.. Create your account at www.hardmoneymastermind.com   FOLLOW US ON SOCIAL Get updates or reach out to Get updates on our Social Media Profiles! ✅ Instagram: https://www.instagram.com/hardmoneymastermind/ ✅ Tiktok: https://www.tiktok.com/@hardmoneymastermind  

Connect With ChazMark Podolsky spent years in investment banking with a 45-minute commute each way, buying things he did not care about to impress people who were not thinking about him. Then he started going to tax deed auctions on the side and buying raw undeveloped land for pennies on the dollar. He never looked back.Today Mark has done over 6,000 land deals, takes the entire month of July off every year to stress-test his team, travels globally at will, and runs what he calls a passive income machine built on three things: other people's time, software and automation, and other people's money. In this conversation with Chaz Wolfe, Mark walks through his entire land investing model step by step, explains why defaults are not actually a problem, why raw land is the most boring and least competitive niche in real estate, and why the only real mistake is stopping deal flow when you get scared.Key Takeaways:Raw land is an inefficient market. There is no MLS for dirt. Value is what a buyer and seller agree to. That inefficiency is the opportunity.Nobody wakes up thinking this is glamorous. That is the point. No HGTV show. No big money competition. No hedge funds. You and a million other investors could all be in this niche and run out of money before running out of deal flow.The model in one sequence: find a motivated seller with back taxes, offer 25 cents on the dollar of the lowest comparable sale, do due diligence for $11, buy it free and clear, sell it on terms to the neighbor or a buyer pool, collect a down payment and $297 a month for 72 months at 9 percent interest. No tenants. No rehabs. No renovations. No rodents.Defaults are not a disaster. They are a reset. The asset stays in your name under a land contract. You keep the down payment and all prior payments, lower your cost basis, and resell it. Sometimes defaults improve your ROI.The biggest mistake: fear-based decision making that stops deal flow. There is a 6-week lag between sending offers and getting responses. Stopping offers while you wait to sell inventory is how people stall the machine. In 20-plus years, Mark has never been stuck with a piece of land that would not sell at the right price.Entrepreneurs get bored with what works and go looking for the next county, the next niche, the next idea. The county that is making you money does not need to be replaced. It needs to be worked.Solo economic dependency is the trap. If you stop working, you stop making money. The land model solves that. $297 a month does not care whether you are at the office or in Bali.Freedom is not a number. It is a ratio. Mark's definition of enough: passive income at 200 percent of fixed expenses. Once you know your number, everything is just a game you choose to play.The happiest people have the best relationships. Money removes the biggest source of stress in a marriage and a family. It does not buy happiness. It buys the conditions for it.90 percent of the land business can be automated with inexpensive virtual assistants and software. The more automated the machine, the less valuable the owner needs to be to keep it running.If you are a contractor business owner doing $1M+ and you feel stuck in the day-to-day, we built GTK for you.Through peer mastermind and 1:1 coaching, we help you:increase profitinstall real systemsbuild a team that runs the businessget your time backVisit www.gatheringthekings.com for information on how to apply.Connect with Chaz Wolfe (Host):WebsiteFacebookInstagramLinkedInYouTubeProfit Starts with Better Books!Clean books. Clear reports. Monthly bookkeeping built by business owners, for business owners.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showLike what you heard? Share this episode with a friend and leave us a review on Apple Podcasts or Spotify! Join the conversation by visiting GatheringTheKings.com and apply to connect with other high-performing entrepreneurs and their families.

In this episode, we discuss how Direct lending defaults are harder to observe than public market defaults, but analysis suggests financial distress has risen markedly since 2022.​‌ The discussion and content provided within this podcast is intended for informational purposes only and may not be appropriate for all investors. Reliance upon information provided in a podcast is at the sole responsibility of the listener. The information included herein is not based on any particularized financial situation, or need, and is not intended to be, and should not be construed as, a forecast, research, investment advice or a recommendation for any specific PIMCO or other security, strategy, product or service. Past performance is not a guarantee of future results. All investments contain risk and may lose value. Investors should speak to their financial advisors regarding the investment mix that may be right for them based on their financial situation and investment objective. Podcasts may involve discussions with non-PIMCO personnel and such content contain the current opinions of the speaker but not necessarily those of PIMCO. Other podcasts may consist of audio recording of an existing PIMCO article and such material contains the current opinions of the manager. The opinions expressed in all podcasts are subject to change without notice. Information contained herein has been obtained from sources believed to be reliable, but not guaranteed. PIMCO as a general matter provides services to qualified institutions, financial intermediaries and institutional investors. This is not an offer to any person in any jurisdiction where unlawful or unauthorized. For additional important information go to CMR2026-0521-5513952-T

Send us a question/idea/opinion direct via text message!New Zealand's unemployment rate rose to 5.6% in Q2 2026 - the highest level in over a decade. However, beneath the headline number lies an encouraging trend for the residential property market: total employment actually expanded, meaning the unemployment jump was driven by an expanding labour force rather than mass job destruction.This week on the New Zealand Property Market Podcast, Head of Research Nick Goodall and Chief Economist Kelvin Davidson unpack the latest Q2 labour market data. They examine why insulated homeowner employment is keeping non-performing loans and mortgagee sales at near-record lows, alongside a striking North-South Island economic divide where North Island unemployment sits at 6.0% compared to just 3.7% in the South Island. The guys also break down Kelvin's latest analysis of Reserve Bank mortgage lending data. They cover why 50% to 60% of first-home buyers continue to secure low-deposit finance, the ongoing borrower shift toward two-year fixed mortgage terms, and why interest-only lending remains strictly controlled despite broader economic headwinds. This week we discuss:Q2 Labour Market Breakdown: Why 5.6% unemployment is driven by growing labour supply rather than job destruction. Housing Market Immunity: How steady employment among existing homeowners prevents non-performing loans and forced sales. Regional Labour Disparities: The North Island (6.0%) versus South Island (3.7%) unemployment divide, led by Northland (8.8%) and Auckland (6.5%). Reserve Bank Lending Trends: Key takeaways from mortgage data, including active refinancing and low interest-only volumes. Mortgage Term Shifts: Why borrowers are increasingly locking in two-year fixed rates as interest rate insurance. September 2nd OCR Runway: How subdued wage growth (2.0%) impacts Reserve Bank inflation expectations ahead of the upcoming OCR statement. 

Part two of the MIC series shifts from structure to strategy. Ryan and Neal make the case for why mortgage investment corporations have become one of the most compelling income investments for Canadians who have already won the real estate game and are looking for somewhere to put the proceeds.They break down where MICs sit in the investment spectrum (between government bonds and equities), who is actually investing in them (it skews heavily toward boomers and recently exited real estate investors), and why the 9.2% average returns in 2024 and 7.7% in 2025 are pulling in institutional capital alongside individual investors.They also go deep on the risks most people overthink: redemption gates, borrower default rates (around 2-3% in alternative lending), and what actually causes a MIC to blow up. Not every failure means investors lose money. Defaults are not the same as losses, and a fund that gates redemptions may be doing exactly what it should be doing.Neal runs through the questions every investor should ask before putting money into a MIC: average loan to value, property types, first versus second mortgages, portfolio diversification, how loans are sourced, historical default experience, and how experienced the management team actually is. Plus one red flag worth knowing: a MIC chasing rapid growth is almost certainly lowering its underwriting standards to get there.Show Chapters:2:00 Today: The Investment Side of MICs 2:38 Where MICs Fit in the Investment Spectrum 5:11 The Compounding Math Nobody Talks About 6:32 GICs, Bonds, and Equities vs a MIC 10:02 Why Investors Love Monthly Income 13:09 Volatility Is Driving Investors Out of Equities 13:42 Who Actually Invests in MICs 14:19 9.2% Returns in 2024, 7.7% in 2025 15:36 Understanding the Real Risks 18:39 Redemption Gates Aren't a Red Flag 19:23 When MICs Have Failed or Struggled 21:20 Not All MICs Are Equal: What to Evaluate 24:57 Defaults Are Not the Same as Losses 28:16 Is a MIC Right for You? 30:00 Red Flag: Beware of Rapid GrowthResources:Keystone Capital GroupCPLP Instagram: @cplpodcastKeystone Instagram: @keycapgroupFind Neal On:Instagram: @neal.andreinoLinkedIn: Neal AndreinoFind Ryan on:LinkedIn: Ryan MacNeilE-mail: ryan@keycap.ca

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There are roughly 100x more people who use code than who can write code. As code that “just works” becomes easier to generate, this group may be the biggest prize of all — if you can get the agentic interface right.A key trend we have been tracking over at AINews is the absolute explosion in Codex usage this year, with MAU now up >10x from Jan 2026. Less than two weeks after their July 9th launch, OpenAI said ChatGPT Work and Codex had reached 10M users combined (as we cover in the pod, Codex now powers ChatGPT Work, so all ChatGPT Work users are now users of the Codex harness, even if they aren't traditional engineers) — showing the early innings of what happens when you graduate from coding agents to knowledge work agents:We've been calling out how coding agents are “breaking containment” to do everything else this year to power every other part of knowledge work - and it started with the org chart, with a major reorg last month that amounted to two of Codex's most prominent leaders, Greg and Tibo, taking responsibility over product and ChatGPT specifically, completing a “Superapp” consolidation cycle first discussed in March.With these updates Codex is no longer just a coding tool. In June, OpenAI said knowledge workers already accounting for roughly 20% of Codex's user base and growing more than 3x as quickly as developers. A product dedicated for knowledge workers was being pulled out of the Codex team.However, knowledge work has a different set of problems and environments than coding. For decades, knowledge work has been scattered across different primitives like documents for writing, spreadsheets for analysis, slide decks for communication, and specialized applications for everything else. ChatGPT Work now enables users to work across every primitive with agents. Instead of opening an application and manually operating its features, the user can describe an outcome and collaborates with an agent that can assemble the tools, context, and artifact needed to reach it.From building no-code products at Airtable to leading Productivity Engineering at OpenAI, Akshay Nathan has spent much of his career trying to make the power of software accessible to people who do not write code. In this episode, Akshay joins swyx and Vibhu to unpack the launch of ChatGPT Work, why Codex unexpectedly took off among non-developers inside OpenAI, and the company's broader plan to bring useful agents from software engineers to knowledge workers and eventually everyone.We go deep on the shared agent harness behind Codex and ChatGPT Work, why OpenAI brought the experiences together without making them identical, and how persistent computers, artifacts, Sites, plugins, memory, and sub-agents are changing what people can delegate to AI. Akshay explains why some teams are replacing decks and spreadsheets with interactive websites, how agents can gather context across code, Slack, documents, and local files, and what OpenAI learned from personal-agent products like OpenClaw.Side note: also don't miss Abhihek's sandbox track keynote at AIE, which now powers a lot of the sandboxing for ChatGPT Work… and yes was also broken by an unreleased OpenAI model in the recent HuggingFace incident.Akshay also reflects on how AI is transforming product development itself: why more people will become generalists with a specialty, why ideas and taste become the bottlenecks when almost anyone can build, why LLMs still struggle to generate genuinely grounded new ideas, and why teams must distinguish increased motion from actual progress.We discuss:* Why Codex unexpectedly took off among non-developers inside OpenAI* Why employees felt like using Codex gave them a new superpower* The product insight that led OpenAI to build ChatGPT Work* Why Codex and ChatGPT Work share the same underlying agent harness* How their UX, Git visibility, artifacts, and sandboxing defaults differ* Why OpenAI merged its agent experiences instead of building separate products* How AI is blurring the boundaries between engineering, design, strategy, and operations* Why OpenAI wants the default model configuration to work for most users* When power users should use deeper reasoning, Ultra, or multi-agent modes* Artifacts, agentic spreadsheets, and creating high-fidelity work products* Why interactive Sites may replace decks and spreadsheets* The challenge of designing a simple interface for an agent that can build almost anything* Why users should retry tasks that models could not handle three or six months ago* How AI can gather context for performance reviews without replacing human judgment* The OpenAI automation that turns internal Slack and document activity into memes* What reaching ten million ChatGPT Work and Codex users means for the product* How OpenClaw inspired persistent environments, scheduled tasks, and personal agents* Using ChatGPT for financial planning, budgeting, workouts, meals, and household management* The design tradeoffs behind sub-agents and how much of their work users should see* ChatGPT memory, Chronicle, and long-term context* Why AI may make more people generalists with deep specialties* Why ideas and taste become more important when almost anyone can build* Why LLMs still struggle with the instruction “bring me new ideas”* Measuring productivity through quality at-bats instead of commits, tokens, or pull requests* The critical difference between AI-generated motion and meaningful progressAkshay Nathan* LinkedIn: https://www.linkedin.com/in/akshaynathan/* X: https://x.com/akshaynathan_Timestamps00:00:00 Introduction and Bringing the Power of Code to Everyone00:01:33 Joining OpenAI and Preserving a Startup Culture00:02:40 What OpenAI Learned from Enterprise AI Adoption00:05:28 Why OpenAI Built ChatGPT Work00:07:17 Codex vs. ChatGPT Work and the Shared Agent Harness00:12:07 Why OpenAI Merged Its Agent Experiences00:16:24 Models, Reasoning Levels, and Choosing the Right Default00:20:26 Artifacts, Agentic Spreadsheets, and Model–Product Collaboration00:24:22 Why Sites Could Replace Decks and Spreadsheets00:30:08 Designing an Agent That Can Build Almost Anything00:34:28 From Developer Agents to Knowledge Work—and Everyone00:36:07 Power-User Advice and AI-Assisted Performance Reviews00:40:41 OpenAI's Internal AI Memes and the Ten-Million-User Launch00:44:39 OpenClaw, Personal Agents, and ChatGPT as an Operating System00:50:24 Sub-Agents, Ultra Mode, and How Much Control Users Need00:54:39 ChatGPT Memory, Personalization, and Chronicle01:00:19 How AI Is Reshaping Product Development and Tech Roles01:03:15 Ideas, Taste, and Why LLMs Struggle to Generate New Ideas01:04:42 Measuring Productivity, Quality At-Bats, and Motion vs. ProgressTranscriptIntroduction: Akshay Nathan, ChatGPT Work, and the No-Code ArcSwyx [00:00:00]: We're here in the studio with Akshay from OpenAI. Welcome.Akshay Nathan [00:00:07]: Thank you.Swyx [00:00:08]: And with our trusty co-host, Vibhu. So you recently launched ChatGPT Work. You lead Core Product Engineering. It's been a long journey, into all this. I find it very interesting that you started with no code or low code, with Walrus and Airtable. And to some extent, ChatGPT Work is like the super app of super apps of, well, here is the ultimate no code. You just write a prompt.Akshay Nathan [00:00:32]: Yeah. It's funny how things come, full circle. I think for a long time in my career, I started my career working consumer fintech, but then after that, like, there's this hypothesis that, the things that we were able to do with code, like, as engineers, like, if we could bring that to many more people in a more, accessible way, then that would be truly magical. We were working on a startup. It's funny, like, before LLMs, before vision LLMs, on how to do automated testing with AI. It was just kinda jank, back then, but doing what we can, and then worked at Airtable for a while on the same thesis that, like, if we can bring a database or the primitives behind a database to people, that'd be really useful to them. But once LLMs came onto the scene, it became clear that, this was the missing piece, like, the missing technology required to, like, bring the magic of code to everyone without them having to know what's going on underneath the hood. And so, like, I think this launch and a lot of the stuff that we've been up to is, like, the manifestation of that.From Walrus and Airtable to OpenAIVibhu [00:01:33]: How was stuff when you joined? So you joined OpenAI 2023. Now we've got, so much more stuff, so ChatGPT, Codex app, ChatGPT Work. Have things changed?Joining OpenAI and What Hasn't ChangedAkshay Nathan [00:01:44]: I think the more interesting thing is how things haven't changed. Like, one, I joined I remember when I joined, it was, like, five hundred people. One thing I was worried about was, like, I was looking for something, more early stage and, like, was it gonna feel startup enough? And I joined, and I was like, “This feels even more startup-y than I could ever imagine.” And, like, that really hasn't changed even till now. I think the, like, level of, like, bottoms-up ambition and, like, the ability of anyone to, like, do anything or have an idea and ship it is really cool. But on the, like, mission side, I think what was really compelling to me is this mission of, bringing frontier intelligence to everyone. Like, building AGI and then bringing it to everyone. And, I think acknowledging back then that, like, that vision is gonna, not be a linear progression. Like, we're probably gonna, like, try different products and have different things that succeed and don't. But the vision has stayed the same, and the mission has stayed the same, and we're starting to see the pieces, fall together, and that's really cool.Enterprise Lessons: No One-Size-Fits-All AISwyx [00:02:40]: You worked on Enterprise. What A lot of people never touch ChatGPT Enterprise. What is something that you learned from there that you're bringing into your work now?Akshay Nathan [00:02:52]: I think how there's no one-size-fits-all solution in Enterprise. I remember in the early days of ChatGPT Enterprise, like, when we talked to customers and, like, everyone. That was, like, when I think it was a year after ChatGPT was released, and everyone was so excited to bring, AI into their enterprise. And, there were all these teams being stood up. It was, like, the AI deployment team with, like, these enormous budgets. And if you asked anyone, like, what were they excited about? Like, what were they excited about solving? Like, at first, you'd get, like, kinda like the baseline answers of, like, “Yeah, we have all this context and data and all this stuff.” But then if you ask them, like, “What was, like, a discrete use case that, like, they want AI to enable in their workplace?” You get such a different, like, variance, like, explosion of, different types of answers. And it's interesting, like, you using, like, these models and these products, you have this box, and you can say anything to it, which is the magic. But it'on the flip side, it also means that, like, you don't know what to do with it. And in Enterprise, I think a big part of that is, like, meeting the users where they are, like, what use case were they trying to solve, and then teaching them how they can use AI to, like, gain leverage there.Swyx [00:03:56]: Do you meaningfully differentiate that from forward-deployed engineering?Akshay Nathan [00:04:01]: I think there is the go-to-market side of it and then there is the product side of it. I think you need someone on the product side. And I think, like, however good we get at FDE motion, like, I think at the end of the day, if we have a user who's, like, looking at their computer or looking at their phone, like, it's our job in the product to, like, be enabling them and showing them where to go. So we're really excited about that.Vibhu [00:04:24]: Do you think there's been changes, over the past three years of adoption? So there have been, step function changes. You have reasoning models and whatnot. Is there still the same problems of Enterprise has black box, don't know what to do with it, or have things changed?Adoption, Agents, and the Next 10x MarketAkshay Nathan [00:04:39]: We're seeing now that, like, there's this huge uptake, right? Everyone is extremely excited about it. It feels like, many people are, millions, hundreds of millions of people are using ChatGPT. They understand, like, how generally to work with AI. But then, like, every time, like, a new capability gets unlocked, so now, like, we're seeing with agents, like, there is probably a contingent of, like, early adopters still who, truly get it, who are like, “ we you can do anything. You just have to make sure the right context is there, it's connected to the right tools, and that you are supervising it, but, like, anything is possible.” But then there's, like, this, like, 10x or 100x bigger market where, like, they don't yet get that, or they don't yet see that. And so I think that's the next stage here. So to answer your question, like, I think the adoption is there and growing fast, but I think the opportunity is, like, far bigger than that. That's where we wanna play, especially with ChatGPT Work.ChatGPT Work, Codex, and the Super App MergeSwyx [00:05:27]: Yeah. well, let's, let's skip ahead to ChatGPT Work. only, like, a month ago or so, announced. what was the decision process that led into it? there was this, overall merging of the super app. Is that what we're officially calling it? you deprecated the browser as well. Just, summarize your last, like, couple months of working on this thing.Akshay Nathan [00:05:50]: Yeah. It feels like forever now, but it's only been a few months. I think maybe the one, impetus that, like- Is most salient is when we release Codex, or even internally had Codex, like, it was really surprising to us, I think we recently put out some stats on this, that there was this, like, real inflection of, like, adoption among non-developers at OpenAI. And, I, through this product development process, like, would go to, like, these UXR sessions to talk to people internally. And the thing that stuck out to me is, like, one, like, you go talk to, like, strategic finance or marketing or whatever, and they're all using Codex for, their use cases. That part's cool, but the thing that really stuck out to me is how proud people were that they were using Codex. Like, how, likeSwyx [00:06:34]: It's like, “I'm not supposed to be using it, but I am.”Akshay Nathan [00:06:36]: It was that. It was, like, that they were, early to this, like, new thing, but it was also this thing of, like, they felt like they had a superpower, right? And, what we recognized then is that, like, the power of Codex, the power of agents, like, we already had this massive distribution base of people who have, come to know and love ChatGPT. Like, how do we show that to them? Like, how do we bring it to them? Which is, like, a hard product problem, and it's, like, a tricky thing, right? There's many ways you can go about it. And so that's what we called the Merge and the Super App over time, and ultimately launched it in ChatGPT Work, is how do we do that? But it came from that initial realization that, like, the power was not only for developers, like, much earlier than probably even we thought. Like, it could be extended to everyone.Swyx [00:07:17]: How do you see the products differently? So, like, who is it for, right? So Codex started out even CLI, then app. Now there's a merge of ChatGPT Codex and ChatGPT Work, so is it the opening for the average user, for enterprise, for work? How do you position it?Akshay Nathan [00:07:36]: I think we want to get it to position it for if you're doing work-related things, for lack of a better word, right?Who ChatGPT Work Is ForAkshay Nathan [00:07:42]: I think productivity is what, like, the pillar that I support. Like, that's the name of the team. And the reason for that, the reason we call it productivity and not, like, enterprise or, like, work or something like that, is because there's also personal productivity, right? And, like, I think ChatGPT Work is I've seen people do things in their personal lives that you wouldn't classify as, like, work technically, but, like, these agents are, super capable for. Like, one recent example that someone posted about, on our Slack is, like, someone had, like, a missed package, like they didn't receive it, and then they got, like, the picture of it, from Amazon or whoever the courier was, and they, like, asked ChatGPT Work to, like, find out where that package is. And, like, the agent, is extremely tenacious and, like, took the image and, like, looked at a bunch of, like, listings around their neighborhood and figured out exactly the apartment complex in which the package was, like, gave them some information. And so, like, I think there's all these things that, like, you, work-related or productivity-related things, I think that's what we want the product to be. You asked about Codex. I think we think Codex is, a durable brand, but we have a principle that, like, the user we don't want a user to get stuck in a tab or an experience where they don't get the power of the product. And so, like, everything that you can do, in the Codex portion of the product on desktop, you can do in ChatGPT Work and vice versa. But we made some opinionated product decisions on, like, how much of the Git state, if you're in a Git repo, do we wanna expose to the end user? Or how much do we wanna make the experience of seeing the agents thinking, like, diff forward so that you get exposed to the diffs out of the box. And then, like, on the safety side, like, how do we wanna think about, like, sandboxing and making sure that we have the right defaults in one state versus the other? So, there's, like, some opinions that go behind that, but we do want We don't want the user to need to choose which experience they're in.Swyx [00:09:26]: That is a good goal for AGI, right? Like, people don't want, like, to hide to choose what version of AGI they want. They just want the AGI to decide for them. can I get an answer or, like It's not super clear to me. Is the Codex harness and the ChatGPT Work harness the same? Is it just UI affordances, or are there prompt level or even deeper differences?Shared Harness, Different UX: Codex vs. WorkAkshay Nathan [00:09:49]: So the harness is the same. The harness is shared. on In both of the products, we made improvements to the harness to make it good for knowledge work, especially as it relates to plug-ins or computer use or artifacts. You get that power regardless of which experience you're in. On the UX side, there's opinionated takes that we have when you're in Codex mode, what the UX should be how the UX should behave, and some stuff around the sandbox like I mentioned, but the underlying harness and capabilities should be the same.Swyx [00:10:16]: I'm just kinda curious. Maybe we can, -- Is there a query that we can run that would look different in the two modes?Akshay Nathan [00:10:23]: Yeah. I tried to create, like ask it to create, like, a retirement calculator spreadsheet or something, in both modes. And then in Codex mode, you might have to be in a repo for this, but you'll see, like, the diffs of, like, the sheet that it's creating and stuff like that, and the file edits. But in Work you won't be able to see that.Swyx [00:10:42]: I think that's, that's super clear. And then also the other thing I wanted to dive into was your, the productivity team. what else is there? first of all, what are the top-level teams other than productivity? Isn't productivity everything?Productivity Teams and Core ChatAkshay Nathan [00:10:55]: SoSwyx [00:10:55]: Science?Akshay Nathan [00:10:55]: We have a team focused on ChatGPT. Like, the core chat experience, for consumer, which is like, not, I think all productivity. Like, there'People are using ChatGPT every day for search to, figure out how to write messages to loved ones, to think about, how to, like, learn a new topic, et cetera. And so there's so much more inside to create images. And there's so much more in chat that, the hundreds of millions of users are using that warrants, like, a very dedicated effort. And there's teams focused on enterprise and infrastructure and API and stuff like that, so.Swyx [00:11:33]: I will bring it up.Retirement Calculator Demo and Git-First UXSwyx [00:11:34]: Yeah. So I have them both running. This is ChatGPT Work. There's a Codex version here. I picked “Five Little Ducks” song, so this will take a while.Akshay Nathan [00:11:43]: Huh.Swyx [00:11:43]: I think we'll just keep it in the background and, as they finish, we'll look into some of the differences.Akshay Nathan [00:11:48]: Yeah. But immediately, I think if you flip back to the Codex version you'll see that,Swyx [00:11:53]: That it assumesAkshay Nathan [00:11:54]: Like theSwyx [00:11:54]: It assumes Git. Yeah. Yeah.Akshay Nathan [00:11:56]: The, like, dynamic island assumes that you're in a Git repo. And you might miss some stuff because some of it is, like, in the actual chain of thought with those changes and how we display that, but yeah.Swyx [00:12:07]: Is there an unintuitive like, is there a thing that you wanted to ship and then you got feedback, and you were like, “No, let's not do it?” Like, what's the thinking behind that?Why Merge the ExperiencesAkshay Nathan [00:12:14]: In, ChatGPT Work?Akshay Nathan [00:12:17]: I think one direction we could have gone with this is, like, keeping the experiences, like, completely separate. So it's like, whySwyx [00:12:22]: Different apps.Akshay Nathan [00:12:23]: Exactly, like different apps or even in the same app, like different, completely different experiences. Like, why merge it all? Like, what is. Codex, people love. Like, why bring these products together? And I think the intuition here is that, like, all of our jobs are, like, changing dramatically with AI. Like, for, like, every few months, like, I feel like I wake up, and I'm, like, doing a completely different thing than I was doing a few months ago. And my hypothesis here is that, or I should say our hypothesis is that, like, part of what we're, we're building, this technology is giving people leverage. Like, the things, maybe it's the more mundane parts of your job or parts that, like, if you were able to automate, you'd be able to share more ideas faster or whatever, like, you're able to do now. And because of that, like, that might blur the lines between someone who's, like, only writing code or creating strategy docs or, planning events or, helping with marketing or doing podcasts or whatever, right? And so, like, these things are gonna get blurred over time. And so, like, trying to draw a hard boundary based on, like, the who you are is gonna be, is gonna be tough. And, like, we should enable users to choose, but we shouldn't box them in. And so a lot of the work that went in here, like, keeping the primitives the same, like for example, plugins are, like, unified across, this product and ChatGPT and the cloud, was because of that. It's this thesis that, like, eventually things are gonna come together and we don't wanna be Like, we wanna be prescriptive about when to be in either experience, but we don't want to box anyone in.Swyx [00:13:45]: I wonder if there's users who are very tuned to the old ChatGPT harness that is effectively now replaced by the Codex harness. I can't imagine what that was, but maybe they're more the more conversational side. Can you compare and contrast the two harnesses? ‘Cause only you've seen it.Akshay Nathan [00:14:02]: Yeah. I think ChatGPT, the existing harness, like, still exists today. Like, it exists in this app,Harness Engineering: ChatGPT vs. CodexSwyx [00:14:08]: The classic, right?Akshay Nathan [00:14:09]: TheVibhu [00:14:09]: You just start a new chat, and you don't go under Work, right?Akshay Nathan [00:14:13]: Yeah. If you startVibhu [00:14:13]: SoAkshay Nathan [00:14:14]: A new chat and go to chat, then you're, you're talking to ChatGPT with the instant model.Vibhu [00:14:16]: Oh, we can technically do another. But on instant.Swyx [00:14:21]: Yeah. So this one's not gonna code or it's gonna be in line. It's on a in line in a sandbox.Akshay Nathan [00:14:26]: It'llVibhu [00:14:27]: Oh, that's coolAkshay Nathan [00:14:27]: We try to push you to go to Work if you're creating a spreadsheet. Yeah, but this isSwyx [00:14:30]: And this is a router decision? Sorry. Is it a router decision?Akshay Nathan [00:14:34]: This is the decision that, the model is making, and then, like it sees that you're able to. or you're trying to do something that would be better served in Work mode. But I think your question was like, what are the advantages of, like, the chat, like ChatGPT chat harness?Swyx [00:14:48]: It's more broadly, like, I wanna, do an oral history of harness engineering. Right? the ChatGPT harness lasted us from, let's call it the ‘01 era, until now, and now it's being replaced by the Codex harness effectively. And they're, they're overlapping somewhat, but I'm curious what changed if there is.Akshay Nathan [00:15:10]: My perspective on this is, like, there's, there's, there's there's like a constant process of, like, divergence, convergence, divergence, convergence. And in chat, like, many of the use cases I was talking about before, like, search or learning, I think we're, we're really optimizing for latency and optimizing for personality and, like, different things that, over time, like the product The reason people love ChatGPT is because we've been optimizing for those things and working on them for so long. Codex, what we learned was that, like, if you give the agent access to this infinitely flexible environment as a computer, it can do really powerful things. And so when we think about, like, okay, well, for knowledge work, like, what is which mode should we choose? It was like it felt more natural to us to bring that to this, like, computer environment and, maybe abstract some of the details of this computer away from users who might not be used to that, but, like, give them that same power. But ultimately, I think that we want the power in all places, right? We wanna meet people where they are. So I'm sure there'll be work down the road in order to get things to be, equivalently capable in all scenarios. But it's just a question of, like, what we've been focusing on the product on historically and what we're focusing on now.Models, Defaults, and the Reasoning SliderVibhu [00:16:24]: I think alongside that, outside of just harness and when to use Codex, ChatGPT, or Work, there's also the new models you've released, right? any guidance there? So people love to min-max what to use, like only use Terra on high reasoning versus, for this, you wanna use Sol here, ignore all theseAkshay Nathan [00:16:44]: There's 32 options.Vibhu [00:16:46]: But, that being said, for people that are expanding, so, productivity trying stuff for work that don't have the breakdown of what all this is what's, what's the advice, right?Akshay Nathan [00:16:59]: Well, I think before the advice, like the first thing is, like, none of this would be possible without these models. Like, the, I think you asked earlier, like, what was, like, the inspiration for work and, like, early on, like I mentioned, like, what we were seeing with Codex, but that was also because the models were getting infinitely more capable. That's happening again. I think it's like another step function jump now. And to answer the question on advice, like we want this default to be the best possible. Like, we wanna be opinionated about the default, and so we've we've chosen a default that we think is gonna be the best for everyone. And, we have for power users options under the hood. We could One could argue that there might be too many right now, and we're, working on simplifying it. But you can extend, the reasoning level, and you can change between the different model classes if you need to, but the default should be the best for most use cases. So my advice to most people would be to stick to that. And then, if you reach a situation in which you think that you could, you wanna try, a different configuration, if you're not seeing either the efficiency on the cost side or the quality on the intelligence side, then you can change the defaults and see if you can get something better. But we think that the default should be good enough.Swyx [00:18:09]: I have, I'm just gonna run something by you since you have way more experience than me. I've recently been doing Sol Lite but with goal, with the idea that the goal augments the reasoning effort, but with more terminations and turns.Swyx [00:18:24]: Is that a good way to think about it as opposed to Sol Ultra or Sol, Extra High?Akshay Nathan [00:18:29]: Yeah. It's hard to say becauseSwyx [00:18:31]: Yeah. It's like an interaction effect.Akshay Nathan [00:18:33]: exactly. It's like there's a preference on, for you as an individual, like how do you like to collaborate with the models? Like how many of those like terminations, as you call them, do you want where, you can steer or make sure that it's doing the right thing?Akshay Nathan [00:18:46]: I think generally people should try whatever works for them. I think that like using Ultra or the like multi-agent setups are best for like when you have like tasks that are either incredibly complicated, like open explorations or very paralyzable. I think even for tasks using goal, I think is best for tasks that you'll be able to make consistent progress in a way that's verifiable over time. But I think for most tasks, they don't fall into either of those buckets. And so like at least when they're starting, and so that's why I think the best first step is like trying it with the default configuration and then seeing like where you wanna go from there.Swyx [00:19:29]: Right. You guys worked on a slider, which is super helpful for reducing the amount of panic.Vibhu [00:19:36]: It's nice on mobile at least. There's a nice slider there.Swyx [00:19:38]: It's nicer.Vibhu [00:19:39]: I haven't tried it.Swyx [00:19:40]: So you have the advanced view there, but if you click advanced view. Yeah.Vibhu [00:19:44]: Ooh, it's just a nice slider. Yeah.Swyx [00:19:46]: Very pretty, very colorful.Akshay Nathan [00:19:48]: Yeah. The idea was here was like reduce it to like one dimension even though there's multiple dimensions, right? Try to project it onto a single dimension for the user. Like, something from that represents like, speed and efficiency on one side and then like quality and thoroughness on the other side.Artifacts, Spreadsheets, and the Work LaunchSwyx [00:20:04]: I am just puzzled that it uses Sol so much, like the lowerVibhu [00:20:07]: NoSwyx [00:20:07]: Grounds I would've usedVibhu [00:20:08]: I think the slider, if I'm not mistaken, isSwyx [00:20:09]: Terra.Vibhu [00:20:10]: Oh, it is.Swyx [00:20:11]: Yeah. See? So they preset Terra to only be the light one. But like I think a lot of people would more people should use Terra. One, because Sol keeps running out of capacity.Vibhu [00:20:22]: I'm the reason. Here's ten minutes of ourSwyx [00:20:24]: There you goVibhu [00:20:25]: Retirement calculator.Swyx [00:20:26]: Oh, that's the Excel thing working for you.Vibhu [00:20:28]: This is,Swyx [00:20:28]: Oh my God. Look at thatVibhu [00:20:28]: This is work, and then Codex is still cooking, so we'll get back into it. I think it'll be interesting to see the thought process, the reasoning, and also, this is eight minutes on work. Codex is still cooking.Swyx [00:20:41]: Yeah. And by the way, so I've, do Gabriel Chua? He's part of the OpenAI Singapore team. He showed me this, and I was like pretty shocked that this looks like Excel. It edits Excel files. You never paid an Excel license, right? Like, but somehow this is like workable and it's agentic Excel.Akshay Nathan [00:21:01]: Yeah. one of the big like pushes that we made for this launch was like artifacts, right?Akshay Nathan [00:21:05]: Like both on the model side, like I think if you compare this with GPT-5.5 and GPT-5.4 before that, you'll see that there's been pretty dramatic improvements in the quality of these artifacts and then also on the product side.Vibhu [00:21:16]: The UX side is also crazy, like hosted sites and whatnot. No longer needing to host your own little webpage, like itSwyx [00:21:23]: Oh, I have a story about that. I can do, a separate thing. I'll need to take the visuals here, but we-we'll, we'll cut to that later. Was there co-training, because you were moving making this big move and you launched GPT-5.6 on the same day as ChatGPT Work? Was there influence between the model training teams and the harness teams, or did they did the launch dates just happen to line up the same day?Akshay Nathan [00:21:46]: I think the we collaborate heavily with the research teams, and I think that's like one of the most magical parts of the job, like the most fun parts of the job. But yeah, just using artifacts as an example. Like, a lot of what you're seeing, like underneath the hood, there's a lot of work that went into making sure that like, we had the right infra to be able to train the models to get better at this. And then on the product side, like had the right experience for users to be able to collaborate with the model on an artifact like this. In fact, like this whole viewer, like the intuition here is that like, it's not necessarily that you wouldn't need an Excel license. This is stage one, right? Like, this is probably not what you meant when you're like making a retirement calculator.Vibhu [00:22:24]: Yeah, you can iterate very easily. Yeah.Akshay Nathan [00:22:24]: You wanna iterate and like when you're seeing it, and if this thing is high fidelity to like what you would see in or what your coworkers would see if you were to send this to Sean, like that I think makes it so easier and makes you trust the product in terms of iteration.Vibhu [00:22:39]: When you say coworkers would see, do you see a multiplayer, multi-team collaboration with artifacts? Any things you guys think about that?Multiplayer Artifacts and CollaborationSwyx [00:22:46]: You can already share it, right?Akshay Nathan [00:22:48]: Yeah. It's inter It's something that, we're actively thinking about. one thing that, we've noticed internally without talking too much about the roadmap is that like there's many times when someone will ping me about something, and I will ask ChatGPT Work the question, and then I'll ping them back the answer.Akshay Nathan [00:23:04]: And then I'll be thinking likeVibhu [00:23:04]: Like the simplest would be, the three of us are just all on one hosted.Akshay Nathan [00:23:07]: Exactly. And I'll think about like was I required in this loop or and then maybe it was, rephrase like what they were asking or pulled from certain context or whatever. But like, when I gave them back the answer, that process was also lossy, right? Like I gave them just like my interpretation of what ChatGPT Work cooked up. But like underneath the hood, there's so much context like in the rollout and stuff that could be interesting.Vibhu [00:23:28]: Yeah, it'sSwyx [00:23:28]: So like the answer was preemptively respond to every inbound request?Akshay Nathan [00:23:33]: No, it was just like literally like this is what I do sometimes as my job.Swyx [00:23:36]: I know you copy-paste and then you're just a message forwarding serviceAkshay Nathan [00:23:39]: Yeah. Yeah, exactlySwyx [00:23:39]: From AI to AI.Vibhu [00:23:40]: But I think it's interesting, right? It helps people understand the capability of what you can ask and delegate that oftentimes people don't realize until they try or someone shows you, and then you're like, “Oh, okay. Okay, I see.”Swyx [00:23:52]: I think it's als there's also like a, light security issue, where like you're the permissions layer. Like yes, I could query everything that you query, and I could get an automated response, but maybe I'm not supposed to see it. And that there's no way I would know because I'm not supposed to know what I don't know.Akshay Nathan [00:24:07]: Especially as like, with ChatGPT Work, we're, we're asking you to connect your plug-ins and, it's pulling from your local files and stuff like that. Like the amount of context that the agent has access to is like- Deeply personal and like that's something I think we need to preserve, so that'll be definitely a challenge.Swyx [00:24:22]: There's Excel, there's PowerPoint, there's Docs, the, grand trio of work. What other formats of work do you think about? like you worked on Airtable. Is there a future where there's like OpenAI Airtable? Like what does that look like if you ever ended up doing it?Akshay Nathan [00:24:41]: It's a really good question. I think,Formats of Work: Sites as Knowledge ArtifactsAkshay Nathan [00:24:43]: one that you didn't bring up was Sites, and I think that wasSwyx [00:24:46]: SitesAkshay Nathan [00:24:46]: A core part of this launch. There's one side of Sites that I think people commonly talk about, especially on Twitter and stuff or X, of like, this like prototyping tool. And like we saw that happen with this launch even. The model slider that you guys were referencing earlier, like that was developed almost fully in a Site. Like, the collaboration between design and engineering and product on that was like on a site where we play with, the affordance and figure out how it feels and all of that. But the other aspect that I think is a little bit less talked about is like Sites as like an artifact for knowledge work. I was talking to someone the other day who's on like our corporate finance team, and like we were mentioning how like now when they have these reports that they're, they're working on as a team month to month, historically those things were in slide decks and in spreadsheets, and now they're just in Sites. And like Sites is the mechanism that they collaborate across the team. And the reason is ‘cause it's like, it's like somewhat higher bandwidth. Like, at these tools like PowerPoint and Excel are like infinitely flexible, but at some point you reach the boundary of like either as a human you may not know how to use some feature or something, or the product itself doesn't support it. But with a site you can do anything. You ask for anything and you can get that. once people see that magic, I think it's been really valuable.Swyx [00:26:02]: Yeah, let me show you my case study. this involves all the hot topics including ChatGPT Work, but also GPT-5.6 token billionaires and token maxing and Sites and auto research. I'm a fan of this game called Strata. It's, it's like a little board game that youSites, Auto Research, and Research DashboardsSwyx [00:26:17]: That you play with, physical blocks, that come on top of it like that. So over the weekend I took like thirty photos and just threw into ChatGPT. one point seven billion tokens later, out comes this site with a fully playable thingAkshay Nathan [00:26:32]: WowSwyx [00:26:32]: With 3D, block placement and everything. Because it requires physical blocks and I needed friends to train on it so they can get better, so I can play against them. But also, I could also, do things like train an AI on it and that's, thatAkshay Nathan [00:26:45]: That's your auto researchSwyx [00:26:46]: That gets into auto research. So, you want to train your own AIs, and then make sure they self-play against, each other. I need to set both AIs. So this is AI versus AI, and they're, they're gonna self-play. the AIs start out bad and then you want to define a loss function and get good. I wasn't gonna supervise all this. I was at, I was down in San Mateo, attending a conference. What I ended up doing was, auto researching and on this and creating benchmarks and that there was just way too many parameters for me to read. So I started asking it for a site, and it's created this lab, panel. Where is there a, is there a shortcut for a site that is created?Akshay Nathan [00:27:28]: You should be able to go in the sidebar to Sites, top of the sidebar. The left sidebar.Swyx [00:27:33]: This one? Oh, left?Akshay Nathan [00:27:35]: Yeah. Just scroll all the way to the top.Swyx [00:27:36]: Oh. Oh, it says Sites. Oh, there you go. Yeah.Akshay Nathan [00:27:39]: Ooh.Swyx [00:27:40]: So it create, it creates the sites. I don't, I don't think this is, it is exactly what I wanted, but let me show you what it popped up, right? Like I think as a research artifact, it is very important to communicate, exactly, what is being done. Outputs this thing which I eventually started publishing. So I moved it off of Sites because I wanted more, database and infrastructure than Sites afforded me. But this is like a research output that you can start to mess with and like try to think about like what hyperparameters are you tuning for training AIs. And like I was trying to make like scaling laws and everything and doing all sorts of like game optimization stuff. And the fact that you can just throw this up as a research artifact, like I no longer need to read ChatGPT output. I read Site output. But then there's also a huge sprawl. Like look at how long this thing is. There's so many numbers. It is pretty overwhelming, so then I have to start pruning it from there. But, it's an interesting transition from Markdown effectively that you're putting out to, you're putting out a whole functional site.Akshay Nathan [00:28:41]: I think Markdown just isn't that optimal for people to read, right? Might as well just write HTML website and I don't know. I think you can do a lot with customizing this, right? You have your skills that explain what you want. Like I noticed they're quite verbose. I don't need a lot of this information.Swyx [00:28:57]: It's very verbose.Akshay Nathan [00:28:58]: So and then the nice thing of having a site side by side is, you just iterate on what you want and what you don't, right?Swyx [00:29:05]: Yeah. I don't know if, any that triggers any stories for you of how it's run internally. Am I doing this right?Akshay Nathan [00:29:11]: Yeah. I think that this is like a workflow that we're seeing like all different types of teams use, where like the canonical artifact that was previously a deck or something is now becoming a site. And like with a site you, because it's just HTML, you can like. It's infinitely flexible. And so, if you want to give more prominence to a certain thing that like in a slide deck would, feel like it was buried, like you can do that. You can have it be like the hero image, right? And so I think that like, people are starting to see that. There's more work to be done to make these things like much more easier, easy to collaborate on. You mentioned that they're very, they're long and verbose, could be broken up. I'm sure that there's still something to do there.Swyx [00:29:53]: They're super long. Yeah.Akshay Nathan [00:29:54]: Yeah. But I think we're starting to see that like there is this aspect of this is a really interesting, format, for people to use, that's like much more flexible than what they ever had before.Swyx [00:30:07]: I think your job also comes becomes meta. You're not designing the products. You're designing a product to make products, and I'm curious how you manage that.Designing a Product That Makes ProductsAkshay Nathan [00:30:18]: I think one thing that we've been Like when we look at the UX, like that we've been thinking a lot about is how can we balance like simplicity with capability? Like if we're designing a product, like you said, that like is made to make up build other things, right? You can build so many different things. But we can't put that all in front of you because you'll get overwhelmed.Vibhu [00:30:41]: Yes.Akshay Nathan [00:30:41]: And so we had similar problem or similar challenges even Chat-with ChatGPT, but especially now, like when there's so much that can be done, I think the balance that we're constantly trying to strike is like, how can we give the user enough of a UI surface where, they can be expressive, they can tell the agent what they need, they can verify that it's using the right tools, it's pulling from the right sources, et cetera, but then it gets out of the way. And then how can we build the right system such that we can show them instead of telling them what can be done? Because so much of this is gonna be like, how do they discover the next use case and the next one after that if they really want to be super powered by the AI.Games, Private Evals, and Show-Don'TellVibhu [00:31:19]: Yeah. It's interesting. I feel like everyone also just has a different way to do it, right? I made a similar version of this same game. I didn't take any pictures of board or rule game. I threw in at goal eighteen minutes, fifty-three seconds later, a lot of tokens later, I've got a similar version. not with all the auto research and whatnot, butAkshay Nathan [00:31:39]: You gotta do all the latest trends.Vibhu [00:31:40]: And yeah, I did it with, did it with Codex, not Work, but it's interesting, right?Akshay Nathan [00:31:45]: Yeah. And this is GPT Image generating the pro avatars. Very good for game design. LikeVibhu [00:31:51]: AndAkshay Nathan [00:31:52]: A lot of game designers were like really into GPT Image for assets.Vibhu [00:31:54]: I will say like the broader takeaway probably is the reason that we do this is more so just to test the tools, right? Like, this was also a test for GPT-5.6 came out. I had done the game on GPT-5.5, right? The ability for me to no longer need it to. I had to feed it the rules. It's, it's a pretty niche game. It couldn't find how to do this on its own.Akshay Nathan [00:32:15]: Oh, yeah.Vibhu [00:32:15]: GPT-5.6Akshay Nathan [00:32:16]: It is out-of-distribution, which is why I was also very keen on testing the GPT-5.6 capability.Vibhu [00:32:21]: But, this is just as work comes out, as new things come out, these are just our side ways to test things, right?Akshay Nathan [00:32:27]: Yeah. It's some private eval. That is not this private.Vibhu [00:32:31]: But also valuable because now you can send this to your friends and I learned about this game through seeing this.Akshay Nathan [00:32:36]: It's a hard game. He's very good.Vibhu [00:32:39]: It's good to when no one is competing with you. But yes, it's a classic RL problem of like self-play, bootstrapping your game AI. yeah, you see how easily work becomes personal and personal becomes work because the thing I do for personal, it directly informs people I work with because I showed it to them. They were like, “Oh, you can do that with GPT?” Which like I imagine is the growth strategy.Akshay Nathan [00:33:02]: Yeah. The show not tell is a big piece that, I think we've we're not still not fully cracked of like, showing people all the things that they can do with the product versus like trying to teach that to them through like, articles or onboarding or whatever.Akshay Nathan [00:33:18]: So meeting them in the moment.Vibhu [00:33:19]: It's a career risk for me, because I used to be in developer relations, right? Where your job is to show, and then you're like, “What do you mean? You don't, you don't need.” your job is to tell. And then. But the product people are like, “Well, we don't need you if our product is intuitive enough.” SoAkshay Nathan [00:33:37]: Yeah. that's the magic of the models. So you can tailor the telling or the showing to like specifically what the user needs, like what they care about, what they've done in the past, exactly where they are on the adoption journey. So I think that's like gonna be a super big opportunity.Vibhu [00:33:50]: Seems easier and easier now to tailor custom showing, right? People have different use cases. As much as you said you don't wanna segment different people into different buckets, right? It's also not that hard to for people that are in different categories. But the question, is you said your team is more broadly on. What was the term you used? Productivity?From Developers to Knowledge Work to EveryoneAkshay Nathan [00:34:12]: Productivity.Vibhu [00:34:12]: Productivity. So howAkshay Nathan [00:34:12]: Which is now work.Vibhu [00:34:14]: Is it work? Is there another distribution that we're not hitting? Is there a group of people that will have something different than ChatGPT, Codex or Work? Is there more that the mass isn't targeting?Akshay Nathan [00:34:28]: I see it as like a sequencing, like. The vision is like bring useful agents to everyone. We started with like developers. Like developers historically are like early adopters that are willing to put up with more friction, set things up, et cetera. Like that's where, Codex started. I think the next opportunity is like what we call general knowledge work, all the other functions around developers. I think when you go from developers to this segment, like there's inherent challenges with like, this show not tell thing that we're talking about, making the product more understandable, bringing in new capabilities that matter more for this cohort than matter for developers, things like artifacts, things like computer use, et cetera. And then I think like the same learnings, like similarly how we took the learnings from developers and brought it to, general knowledge work, the next stage will be like taking the learnings from general knowledge work and bringing it to everyone no matter what they're doing in their lives. And we're already seeing that a little bit. Like this game example that you have is, something that's like on the border of like fun and personal life to, your professional life. I use ChatGPT Work full-time at home for everything, like for whatever I'm doing. I used it the other day to come up with a meal plan and like, save that on the like computer environment that it has and something that I can continue going back to. Like is everyone doing that yet? Probably not because the thing says work on it, but eventually, we wanna get people there.Vibhu [00:35:51]: ChatGPT life.Akshay Nathan [00:35:52]: Yeah, exactly. ChatGPT cooking. But I think there's a lot of, there's a lot of opportunity there, but I see it as like, we're, we're built we built a foundation in software engineering, and we're gonna take the same learnings that we take from software engineering to knowledge work to everyone.Vibhu [00:36:07]: Do you have any power user advice? I feel like, there's a group of people that will live it, use it for everything, stay on it twenty four-seven. And then there's a bit of a gap between that crew and people that, okay, I use it for work. I use it occasionally. Sometimes I type questions. any advice, any learnings, anything you recommend or just, takeaways that you've found that help bridge that gap?Power User Advice: Push the Frontier of ImaginationAkshay Nathan [00:36:30]: I think a couple things that I've seen is like, one, that it really helps to broaden your imagination of what's possible, and this has been a learning even for me. Like, the technology has progressed so fast that, something that, like, even three months ago, like, no way the models can do this. Like, now it's like, wow, it's like it can. Like,Swyx [00:36:52]: Give an exampleAkshay Nathan [00:36:52]: We're going through right now our, like, review cycle internally, and, people always talked about this as, like, a thing that the models are good at and like, there's a cliché of like: Okay, like, no one wants to be writing reviews and, like, we just use AI to do it. But in all seriousnessSwyx [00:37:09]: And it can evaluate it as well.Akshay Nathan [00:37:10]: Yeah, exactly. In all seriousness, before it was, like, just, like, slop and, like, I think it was helpful, but, not super productive. Now I've found that, like, the model can do a much better job than me, especially in this environment of, like, pulling context on, like, what people are up to, how they've like the things that they've done to make a difference, highlighting like, wins that they've had that, like, I might may not even have seen. It has access to, like, everything, right? Like the code, like, things that they've caught, reviews, Slack, everything. And so it's, like, incredibly powerful in that domain and, like, just like six months ago, the last time we did this cycle, like, I didn't even I tried using it, but it was not at all helpful. And this time it's been, like, incredibly helpful and, like, so I think continuing to push the frontier of imagination of what's possible, even if you tried something before, I think is maybe the my biggest piece of advice. The other, thing is, like, the more you put in, especially in this environment where, like, the model has access to everything on your computer or in ChatGPT Work, like you can create, artifacts over time and save them in your library and, like, the model will continue having access to those. Like, the more information you give it about whatever domain you're in, whether it's your life or your work, the more valuable it becomes, and it'll become valuable in, like, ways that might surprise you. Like, it might pull from context in a way that, may be proactive and that you might not even have thought about. But it needs to have access to those, to that those tools or that context first.Reviews, Agentic Search, and Context GatheringSwyx [00:38:27]: One thing I just wanna talk about the review stuff because I'm still that's a very sensitive thing and you're, you're a founder, you've managed people, you've hired people. As manager myself, I'm very reticent to put out any LLM-generated things especially when it comes to people, ‘cause it feels like you don't care.Swyx [00:38:46]: Presumably at OpenAI, people are more open to being eval rated by GPT. But are there any unofficial rules around this? Like, what's the etiquette?Akshay Nathan [00:38:57]: Oh, I think the etiquette is that, like, I would never write something via, like, well, solely via AI and, like, present it as, like, a review for someone. What I was talking about is more, like, gathering context. That's the place where it's incredibly helpful.Swyx [00:39:08]: So it's just search.Akshay Nathan [00:39:09]: Yeah, exactly.Swyx [00:39:09]: It's agentic search. Yeah.Akshay Nathan [00:39:10]: It's like agentic search, but, that you can tailor and steer much more capably than you could before, ‘cause, like, the thing is it's all there's a flywheel happening, right? Because of Codex, people are able to do, and because of ChatGPT, people are able to do so much more now than ever before. And if you're able to do so much more, it's easy to miss things as well. And so, like, I think we need to use these same tools to keep up with all the impact that people are having and understand, where we can be helpful.Swyx [00:39:39]: I think the thing, like, I run a small company, so easy to search, but at the scale of OpenAI with the amount of messages that you guys put in Slack, do you think that it misses things?Remembering What Humans MissAkshay Nathan [00:39:50]: Probably, but I think that I also miss things.Swyx [00:39:52]: Like, it doesn't matter, right?Vibhu [00:39:53]: I think sometimes it'sSwyx [00:39:53]: Like it's, as it needs to be human-levelAkshay Nathan [00:39:54]: It's all relative, right? Yeah.Vibhu [00:39:56]: Sometimes it's nice when it finds things you wouldn't, right? Like right now, my Codex system prompts, they're set up in such a way that every project I have has a secret- separate, notes MD, and it just writes learnings to there. And then the global one can pull from all these. So sometimes it'll be like: Oh, there's this project you did like four months ago. Here's a note that we had, and it randomly pulls it back into context that I would never do, I haven't thought about.Vibhu [00:40:20]: And I'm like, okay, this is quite superhuman, right? Like, stuff that would. And, it'll save like hours on chunking of stuff or find something that's already been done. I'm like, as much as it might miss stuff, I would too, but it's very useful when it finds stuff. And I have like a very, non-super engineered solution to this. It's just marked down files that get pulled whenever they want.Akshay Nathan [00:40:41]: Yeah. I have a funny anecdote about this. Like, recently gearing up to this launch, the team has been, really cooking on it for a couple months, and over that time, like there's so much conversation and chatter going on in Slack and Docs and elsewhere. And, one of the members of the team set up this, scheduled tasks, like automation to like look at everything that's going on and, like, come up with the best memes and then post it in one of our shared channels. And like, there are two cool things about this. Like, the first is, like, I think the models are, over time, like starting to become like funny.Swyx [00:41:13]: Funny. Nice.Akshay Nathan [00:41:13]: Whereas like, a year ago, like that was not at all the case. The second is, it was what you were saying, like they find things that in surprising ways that you may not have thought of and like create connections that you may not have thought of. And that really helps with like the meme generation because then you can see something that, genuinely surprises you and, is funny in that way. So yeah, that's like not like the most productive, use of this the technology, but it does it does uncover this, like this capability that's emerging, which is just like to find information that you otherwise would not know of.Launch Momentum and the 10 Million User MilestoneSwyx [00:41:43]: Talking about the launch, I think, I have pretty much said this is the most successful launch in a long time. I think even more successful personally than 5.0, and they're announcing ten million users. Does it feel different? You've been through a lot of launches.Akshay Nathan [00:41:58]: I think it feels like a culmination. Well, I think two things. One, it feels like a culmination, like I was mentioning earlier, like this like vision mission that we've been on for a long time. Like I said, we saw the magic of Codex internally, and then we're like extremely excited to bring this to many more people and to see it working, to like see us reach, the distribution goal, numbers that you mentioned, like I think that's like huge and super exciting. The flip side of that is like, there's so much more to do too. Like, that's also really exciting. Like, ChatGPT as a whole, like the this product that, everyone almost equates to AI and like loves, has hundreds of millions of users. And so like ten million is really cool, but like we need to get this to everyone. Like, we need everyone to feel this magic. And so that's the next step from here. But yeah, I think extremely pumped about how it's going so far and the opportunities.Swyx [00:42:46]: Awesome. I did want to also Because I've, I've, I've been tracking the number closely, it transitioned at some point from just Codex users to Codex plus ChatGPT Work, because they're same harness. The whole point is that you don't, you can't, count them separately. Do you have roughly a billion, ChatGPT users? Why did it just jump to one billion right away? Like, isn't that the default on ChatGPT or no?Codex, ChatGPT Work, and the Developer BrandAkshay Nathan [00:43:11]: We don't default you into ChatGPT Work if you're on ChatGPTSwyx [00:43:14]: If you're free. YeahAkshay Nathan [00:43:15]: It's also only available to paid users right now. And I think there's like a process of, educating users of what is the value of this product, having them try it, learning from their feedback, and making it better over time. But the goal is to, get as many of the people who love ChatGPT today to like feel the power of ChatGPT Work. But I think it'll be a journey.Swyx [00:43:36]: Yeah. And Codex will still be alive as a brand for the foreseeable future. And we'll just toggle between them as needed for UI stuff.Akshay Nathan [00:43:44]: Yeah, I think it's even stronger point than that. Like, I think we fully intend to like, treat developer. Like, developers have been, a core market for us for so long, and like there's, there's so much more that we can do to make Codex great specifically for, software development, and we'll continue to do that. This doesn't take away from that at all. If anything, it should increase the utility of something like Codex, because now you can move seamlessly between writing a diff to creating an artifact or, doing a search over your factor.Swyx [00:44:11]: I do wonder how much this terminology leaks to the non-technical user. Like, do they have to learn to say artifact if I want artifact? Or.Akshay Nathan [00:44:20]: It's funny, like we call it artifacts internally ‘cause that's what the teams call it.Swyx [00:44:23]: It's nice. Yeah.Akshay Nathan [00:44:23]: But like externally, like no one says that, no one calls it an artifact. But I think that people like often, like describe things, whatever they're used to, right? So if, ChatGPT Work is good at creating slides, they'll say ChatGPT Work is good at creating slides, and that's what we want.OpenClaw, Personal OS, and Persistent ComputersSwyx [00:44:38]: One big Another, it's July of twenty-six. One big thing that also happens in, for OpenAI was OpenClaw, and that's I think a lot of people's first time really maxing a agent for personal stuff, but also crossing over to work in essence same way. As far as I understand, OpenClaw is still independent, but did you go through your own OpenClaw moments? Were there any lessons you took from OpenClaw to Codex or back? Whatever.Akshay Nathan [00:45:06]: I think there's a lot of inspiration. I did go through my own OpenClaw moment. I,Swyx [00:45:10]: Yeah, tell the storyAkshay Nathan [00:45:10]: Me and my wife like set up an OpenClaw to like try to manage everything in our house. Not that there's like a ton, but it was like quite useful. We gave it a calendar. It started, creating events for us and stuff. At some point, the laptop that we were running on, it died and never got a chance to pick it back up. But there was a lot of inspiration there, like, in ChatGPT Work, in web and mobile, like you get access to this like persistent computer environment where, you can store files, and those files stay around between sessions. And the idea is to be able to enable use cases like this. one of the members of our team uses ChatGPT Work for what they used OpenClaw from before, and then feel like it has like completely transitioned, which is like, workout planning and like meal tracking. which again, it's like a work-related thing, right? It's like not work necessarily, but it's like in personal productivity space. But it has all the same primitives. So it has scheduled tasks. It has the ability to store files on a file system. It has the ability to like reference those things over time. And so you start to see the same types of use cases emerge, which has been really cool.Swyx [00:46:14]: Is there a point that ChatGPT Work completely replaces OpenClaw? they're independent, so.Akshay Nathan [00:46:20]: Yeah, I'm, I'm not close to it, so I can't speak to the OpenClaw roadmap, but I don't think so. I think that there's gonna be, there's always a need for like this like incredible, like open source technology that team has built. And I think that we can draw inspiration, in the product and, ChatGPT, I think many more people have like heard about and used ChatGPT than have used OpenClaw. And if we can take the magic from OpenClaw and bring it to them, I think that'll be a success. I think that like one thing on the ChatGPT Work side that we feel strongly about is that like the core experience is that you come to this product and you have a conversation, start a session, whatever you wanna call it, with this agent. And the magic of the product is that you can do anything in that moment. And we would like to create a product where you don't have to click a button or to go to a different place, whatever, and you can get whatever functionality exists in, your finances app or where or any other product like in this one place. And so that's the goal. It's like it we want an extensible system with plugins where you can connect to the tools that you need in order to be able to accomplish like a financial task, where you can, if you're doing like science work, like we have an ability to like extend the system in such that you can like write the tech and it performs well. There'll always be like products that we support that are best in class at those things, but we want as much of the magic as possible in that core experience.Swyx [00:47:45]: Yeah. Do you think that you can do everything you used to do with Wealthfront in ChatGPT Finance?Finance, Data Access, and Centralized ContextAkshay Nathan [00:47:50]: I tried it. like ChatGPT doesn't yet custody, cash and assets for me. So that part, no, not yet. But I, there was like a whole component of like retirement planning and, like financial planning and budgeting and stuff that, we were looking into when I was there. And like with the finances plugin, like that's all possible with ChatGPT today. So, I feel

Student loan defaults are rising again, and that could have a bigger impact on the housing market than many investors realize. In this episode, Kathy Fettke explains how millions of borrowers falling into default could shrink the pool of qualified homebuyers, especially in key Sun Belt markets. Learn why credit scores matter just as much as mortgage rates, and what this trend could mean for housing demand and new home construction.   Check out our other podcast The Real Wealth Show: https://podcasts.apple.com/us/podcast/real-wealth-show-real-estate-investing-podcast/id883335228   Source: https://www.housingwire.com/articles/sun-belt-student-loan-defaults/

In this episode, we are joined by Jean-Pierre Aubry, Associate Director of Retirement Plans and Finance at the Center for Retirement Research at Boston College, for a research-driven conversation about retirement investing, financial advice, pension fund management, and inflation. Drawing from years of empirical research, Jean-Pierre shares insights into how households actually invest, how financial advisors shape portfolio decisions, and why investors often hold asset allocations that differ from their own stated preferences.   We also examine the investment strategies of public pension plans, why their increasing reliance on alternative assets has largely failed to deliver superior performance, and the institutional forces driving those decisions. Finally, Jean-Pierre explains how inflation disproportionately affects retirees, why many households overreact during inflationary periods, and why understanding retirement risks—from market volatility to sequence of returns—is critical for long-term financial security.   Key Points From This Episode: (0:06) Introduction to Jean-Pierre Aubry and the Center for Retirement Research at Boston College. (6:29) The Center's mission: producing objective, accessible retirement policy research. (7:03) Why investors' actual stock allocations are higher than their stated ideal allocations. (9:31) Defaults and target-date funds may explain the gap between desired and actual portfolios. (10:46) Investors tend to underestimate long-term stock returns and overestimate market risk. (11:22) Financial advisors generally encourage higher equity allocations by reducing investor pessimism. (12:06) How advisor compensation can create incentives to recommend higher stock exposure. (13:42) Research showing advisor recommendations vary more across advisors than across client profiles. (16:56) The "advisor fixed effect": advisors largely recommend portfolios consistent with their own philosophy. (18:57) Why working with an advisor often leads investors to hold more equities. (20:26) How target-date funds work and why auto-enrollment is reshaping retirement investing. (22:57) Why advisors and target-date funds are generally improving retirement security. (23:57) The evolution of public pension investing from bonds to equities and then alternative assets. (30:12) The growing influence of consultants and peer effects on public pension investment decisions. (31:14) Why pension plans with greater allocations to alternatives have generally underperformed peers. (32:23) Comparing public pension performance against a simple 60/40 index benchmark. (36:43) Whether indexing may be a better long-term solution for public pension investing. (39:35) Concerns about adding private assets to default retirement plan options. (40:15) Maintaining objectivity while researching politically sensitive retirement issues. (42:58) Why investment policy remains the "final frontier" for improving public pension systems. (46:45) Why retirees are especially vulnerable to inflation. (50:06) How inflation affects retirees differently across age and wealth levels. (51:52) Why households tend to overspend during inflationary periods. (53:38) How financial advisors adjust recommendations when inflation and interest rates rise. (54:11) Why inflation ultimately reduces retirement security for many households. (54:42) Which retirees face the greatest market risk. (55:35) Why most retirees have little understanding of sequence of returns risk. (55:56) Advisors understand sequence risk, but that knowledge doesn't appear to transfer to clients. (57:23) Why declining equity exposure over time remains the canonical life-cycle investing approach. (58:25) Jean-Pierre's definition of success: purpose, meaningful relationships, and financial security. Links From Today's Episode: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/   Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

I'm 44, running multiple businesses, homeschooling my kids, and managing a 45-acre homestead. And I'm in better shape now than I was a decade ago. Not because I have more time. I don't. But because I stopped relying on motivation and built systems that work regardless of how I feel on any given day. In this episode, I walk you through the six pillars I use to stay in peak health during the busiest chapter of my life: nutrition anchored in animal protein, strength that comes from living and working on a farm, conditioning built into daily movement, sleep treated as the foundation rather than an afterthought, light exposure that keeps my circadian rhythm locked in, and nervous system regulation that emerges from lifestyle rather than added protocols. None of these are complicated. The power is in stacking them consistently until they require no decision-making at all. If you've been waiting for life to calm down before you get healthy — this episode is for you. Thank you to this episode's sponsor, Peluva! Peluva makes minimalist shoes to support optimal foot, back and joint health. I started wearing Peluvas several months ago, and I haven't worn regular shoes since. I encourage you to consider trading your sneakers or training shoes for a pair of Peluvas, and then watch the health of your feet and lower back improve while reducing your risk of injury.  To learn more about why I love Peluva barefoot shoes, check out my in-depth review: https://michaelkummer.com/health/peluva-review/  And use code MICHAEL to get 10% off your first pair: https://michaelkummer.com/go/peluva  Learn More: 23: Zane Griggs: How to Kick Ass As You Get Older: https://www.primalshiftpodcast.com/zane-griggs-how-to-kick-ass-as-you-get-older/  In this episode: 00:00 Intro 05:12 Defaults beat willpower 06:31 Pillar one: Protein meals 09:46 Pillar two: Strength 12:23 Pillar three: Conditioning 13:54 Pillar four: Sleep 16:39 Pillar five: Light 17:46 Pillar six: Regulation 19:47 Stack systems and start 21:46 Final thoughts Find me on social media for more health and wellness content: Website: https://michaelkummer.com/ YouTube: https://www.youtube.com/@MichaelKummer Instagram: https://www.instagram.com/primalshiftpodcast/ Pinterest: https://www.pinterest.com/michaelkummer/ Twitter/X: https://twitter.com/mkummer82 Facebook: https://www.facebook.com/realmichaelkummer/ [Medical Disclaimer] The information shared on this video is for educational purposes only, is not a substitute for the advice of medical doctors or registered dietitians (which I am not) and should not be used to prevent, diagnose, or treat any condition. Consult with a physician before starting a fitness regimen, adding supplements to your diet, or making other changes that may affect your medications, treatment plan, or overall health. [Affiliate Disclaimer] I earn affiliate commissions from some of the brands and products I review on this channel. While that doesn't change my editorial integrity, it helps make this channel happen. If you'd like to support me, please use my affiliate links or discount code.

If your days have been feeling harder than they should, the problem may not be your discipline - it's friction. In this episode I break down the five areas of your life where invisible resistance is making everything harder, and walk through exactly how to identify and remove it.What I cover:

Betsy Mayotte joins Dave Cohen to talk about why student loan debts has increased so much.

Trump's overhaul of the federal student loan system will leave millions of Americans facing higher monthly payments, fewer repayment options, and new borrowing limits.

Inklusive Kommunikation klingt für manche nach Stilfrage, für andere nach Sprachpolizei und für wieder andere einfach nach gesundem Menschenverstand. Aber was passiert eigentlich, wenn Sprache nicht nur beschreibt, sondern Bilder im Kopf erzeugt, Teams prägt und sogar beeinflusst, wer sich auf einen Job bewirbt oder in einer Tech Community willkommen fühlt? Genau darum geht es in dieser Episode.Zu Gast ist Lukas Kahwe Smith, Softwareentwickler, Open Source Veteran aus dem PHP-Community und ehemaliger CTO von Witty Works. Mit ihm sprechen wir über inklusive Sprache in der Softwareentwicklung, über Gendern, geschlechtsneutrale Begriffe, diskriminierende Sprachmuster, problematische Formulierungen in Stellenausschreibungen und die Frage, warum Begriffe wie Main Branch, Master Branch, Whitelist, Blacklist oder Leader Follower in der Tech-Welt mehr sind als nur Benennungssache. Außerdem schauen wir auf Open Source, Teamkommunikation, Leadership-Kommunikation, Diversity in Communities und darauf, wie Witty Works als Browser Extension und Lerntool für inklusivere Kommunikation funktioniert hat.Besonders spannend wird es beim Blick auf KI und LLMs. Helfen ChatGPT, Claude und Co. dabei, inklusiver zu schreiben, oder zementieren sie am Ende nur die Sprache der Vergangenheit? Wenn du wissen willst, warum Kontext wichtiger ist als starre Regeln, wie Sprache Kultur verändert und weshalb kleine Formulierungen große Wirkung haben können, dann ist diese Folge genau dein Ding. Bonus: Ein racist soap dispenser und ein Git Branch haben heute mehr gemeinsam, als dir vielleicht lieb ist.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

A long life is a blessing—but is your retirement plan ready for it? In this episode of WealthBT, Genevieve Cua sits down with Manulife Investments Singapore CEO Koh Hui-Jian to tackle the new reality of retirement. With lifespans reaching into the 80s, the traditional "simple savings" approach won't suffice for a 40-year horizon. Why must you move beyond local markets? Also discover the power of globally diversified portfolios, and the strategies needed to build an inflation-proof income stream. Don’t leave your future to chance—listen now for the blueprint to a secure, resilient retirement. Synopsis: Learn to protect and grow your wealth in this monthly Business Times podcast series for affluent individuals, hosted by BT wealth editor Genevieve Cua. Highlights of the podcast: 01:20 Pillars of a strong retirement system 04:12 The gap between intention and action 06:21 The Glide Path 08:51 Don’t bet on only one market 10:27 Defaults matter more than willpower --- Send your questions, thoughts, story ideas, and feedback to btpodcasts@sph.com.sg. --- Written and hosted by: Genevieve Cua (gen@sph.com.sg) With Koh Hui-Jian, chief executive, Manulife Investments Singapore Edited by: Howie Lim & Claressa Monteiro Produced by: Genevieve Cua, Howie Lim & Chai Pei Chieh A podcast by BT Podcasts, The Business Times, SPH Media --- Follow BT Correspondents: Channel: bt.sg/btcobt Amazon: bt.sg/btcoam Apple Podcasts: bt.sg/btcoap Spotify: bt.sg/btcosp YouTube Music: bt.sg/btcoyt Website: bt.sg/btcorresp Do note: This podcast is meant to provide general information only. SPH Media accepts no liability for loss arising from any reliance on the podcast or use of third party’s products and services. Please consult professional advisors for independent advice. --- Discover more BT podcast series: BT Money Hacks: bt.sg/btmoneyhacks BT Podcasts: bt.sg/pcOM BT Market Focus: bt.sg/btmktfocus BT Lens On: bt.sg/btlensonSee omnystudio.com/listener for privacy information.

What happens when you strip Windows 11 to the bone and dodge Microsoft's usual bloat? Paul Thurrott reveals how far you can actually go in building a lean, privacy-focused Windows experience—without third-party debloating tools. Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: blackhat.com/us-26 and use code TWIT

What happens when you strip Windows 11 to the bone and dodge Microsoft's usual bloat? Paul Thurrott reveals how far you can actually go in building a lean, privacy-focused Windows experience—without third-party debloating tools. Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: blackhat.com/us-26 and use code TWIT

⚠️ What Happens If Your Ex Defaults on Shared Debt? | Los Angeles Divorce

Why do borrowers stop making their mortgage payments? Is it simply because they don't want to pay—or is there much more to the story?In this episode of the Paperstac Podcast, Brett Burky and Rick Allen break down the real reasons borrowers default on their mortgage loans and what every note investor should understand before buying performing or non-performing notes.Drawing from years of experience reviewing thousands of mortgage loans, they discuss the life events that most often lead to delinquency, how investors can recognize early warning signs, and why understanding borrower behavior can dramatically improve investment decisions.During this episode you'll learn:The biggest misconceptions about borrower defaultsThe five most common reasons homeowners stop making paymentsThe difference between temporary hardship and permanent financial distressWarning signs that can indicate a loan is headed toward defaultHow quality loan servicing can improve borrower outcomesPractical lessons every mortgage note investor should apply when evaluating assetsWhether you're new to mortgage note investing or actively building a portfolio, this discussion provides valuable insight into the human side of note investing and why every loan is much more than just numbers on a spreadsheet.Hosted by Brett Burky and Rick AllenVisit Paperstac.com to browse mortgage notes for sale, connect with buyers and sellers, and access educational resources to help you become a better note investor.#MortgageNotes #NoteInvesting #NonPerformingNotes #PerformingNotes #RealEstateInvesting #DistressedDebt #PassiveIncome #CashFlowInvesting #MortgageInvesting #PaperstacPodcast #PaperstacFollow Us On These Platforms:

Commercial Real Estate Now | Episode with Hue Chen, President & CEO of Saglo CompaniesKarly Iacono sits down with Hue Chen, President and CEO of Saglo Companies — a vertically integrated, privately held retail real estate firm celebrating its 50th anniversary this year. From surviving the S&L crisis and the dot-com bust to navigating COVID, Saglo has never defaulted on a loan. Hue breaks down exactly how they've done it.In this episode, we cover:Saglo's 50-year history and what it takes to survive every down cycle in commercial real estateHue's day-to-day as President & CEO — and why technology strategy must be led from the topHow to identify the right acquisition target: the full checklist Hue's team uses to underwrite neighborhood and community shopping centersCapEx decisions: when renovation makes sense, when it doesn't, and how lender financing changes the mathSaglo's capital stack: 65% LTV, banks over CMBS, and a friends-and-family equity modelThe fund structure vs. deal-by-deal investing — and what made them switch

In this episode of the Seller Finance and Creative Deals Podcast, Dan Deppen breaks down partials, one of the most talked about but least understood tools in note investing. Dan explains what a partial actually is (selling a defined chunk of future loan payments at a set rate of return), walks through a real numbers example on a $30K land contract, and covers why partials can be a win for both sides of the deal.   Topics covered include why partials only work on performing loans, how sellers use them to recapitalize and scale without giving up the entire note, why buyers like the lower risk of front-end payments and the ability to get exposure to note investing with less capital, how to find partial buyers through your network rather than open marketplaces, typical interest rates sellers offer buyers, key structural decisions like who holds servicing and whether to sell full or fractional payments, and how defaults are typically handled when a partial is in place. Dan also shares an update on his Oklahoma City note portfolio acquisition and the current Note Accelerator cohort. Want to learn more about note investing, seller finance, or creative real estate deals? Check out Fusion Notes for coaching and courses, (www.fusionnotes.com) and Call The Underwriter (www.calltheunderwriter.com,) for flat-fee seller finance compliance and origination help. Note buying: www.fusionnotes.com Note origination and underwriting: www.calltheunderwriter.com Mortgage broker / DSCR servicers in TX, FL and CO: www.callthemortgageguy.com  

Pastors Ben and Tony talk about the different defaults in our families on consciences and how to walk through them

Tue, 16 Jun 2026 18:30:00 GMT http://relay.fm/focused/258 http://relay.fm/focused/258 David Sparks and Mike Schmitz David & Mike discuss protecting your capacity, honoring your chronotype, and changing your personal defaults. David & Mike discuss protecting your capacity, honoring your chronotype, and changing your personal defaults. clean 3480 David & Mike discuss protecting your capacity, honoring your chronotype, and changing your personal defaults. This episode of Focused is sponsored by: Vitally: Your Copilot for AI-Powered Customer Success. Get a free pair of AirPods Pro when you book a qualified meeting. Incogni: Take your personal data back with Incogni! Use code FOCUSED with this link and get 60% off an annual plan. Links and Show Notes: Deep Focus: Extended ad-free episodes with bonus deep dive content. Video version of this episode Intentional AI Robot Assistant Field Guide Atomic Habits by James Clear Deep Work by Cal Newport Dekáf Coffee Oura Ring 5 Focused #257: I Go By Vibes, with Stephen Robles Range by David Epstein Inside the Box by David Epstein

Tue, 16 Jun 2026 18:30:00 GMT http://relay.fm/focused/258 http://relay.fm/focused/258 Personal Defaults 258 David Sparks and Mike Schmitz David & Mike discuss protecting your capacity, honoring your chronotype, and changing your personal defaults. David & Mike discuss protecting your capacity, honoring your chronotype, and changing your personal defaults. clean 3480 David & Mike discuss protecting your capacity, honoring your chronotype, and changing your personal defaults. This episode of Focused is sponsored by: Vitally: Your Copilot for AI-Powered Customer Success. Get a free pair of AirPods Pro when you book a qualified meeting. Incogni: Take your personal data back with Incogni! Use code FOCUSED with this link and get 60% off an annual plan. Links and Show Notes: Deep Focus: Extended ad-free episodes with bonus deep dive content. Video version of this episode Intentional AI Robot Assistant Field Guide Atomic Habits by James Clear Deep Work by Cal Newport Dekáf Coffee Oura Ring 5 Focused #257: I Go By Vibes, with Stephen Robles Range by David Epstein Inside the Box by David Epstein Dyi

Credit delinquencies are still rising. The bull case for single family housing. The flood of rental supply, and the death of the pre-sale condo. Bonus episode with Ben Rabidoux of Edge Analytics. Start an investment portfolio that's built to perform with Neighbourhood Holdings! For Mortgage Brokers: https://www.neighbourhood.com/looniehour-brokersFor Investors and Advisors: https://www.neighbourhood.com/looniehourEdge Analytics – EDGE30 / EDGE330 for $30/month, $330/year: https://www.edgeanalytics.ca✉️ Media & Real Estate Inquiries: steve@stevesaretsky.comStay up to date with our information -

High yield bonds can offer strong income, but they also come with risks that are often misunderstood. Think of them like lending to growing companies that pay you more to take on extra risk and where a bump in the road doesn't always mean the journey is over. This episode breaks down what really drives returns, why defaults aren't as scary as they sound, and how these bonds behave more like equities than traditional fixed income. With a clearer view of the trade‑offs and opportunities, could high yield be doing more heavy lifting in your portfolio than you think? Join Alex Gorewicz, Vice President & Director, Active Fixed Income Portfolio Management, TD Asset Management Inc. (TDAM) and Anthony Imbesi, Vice President & Director, Lead, High Yield, TDAM as they break down the role of high yield bonds, challenge common misconceptions, and explore how they can enhance income and diversification in a portfolio. Highlights include: 00:53 What high yield bonds are and how they differ from investment grade 04:06 Defaults explained and why they don't always mean full loss 07:56 Why high yield is called the “equity of fixed income” 14:38 Comparing high yield to dividend stocks and other income strategies 19:55 High yield vs. private credit and key differences investors should know   For a full transcript in English and French, please visit the TD Asset Management Podcast page: https://www.td.com/ca/en/asset-management/insights/podcast Email any questions or ideas for future episodes to: td.tdamtalks@td.comPlease follow "TD Asset Management" on LinkedIn: https://ca.linkedin.com/showcase/tdassetmanagement/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Last August  President Trump signed an executive order directing the Secretary of Labor to, among other things, “reexamine the Department of Labor's guidance on a fiduciary's duties regarding alternative asset investments in ERISA-governed 401(k) and other defined-contribution plans” – a stance widely seen as encouraging the consideration of alternative assets in defined contribution plans, including401(k)s and 403(b)s.Then on March 30, the Labor Department issued a proposedregulation in response to that directive, titled “Fiduciary Duties In Selecting Designated Investment Alternatives.”  However, while it acknowledged that while the executiveorder “focused on fiduciary responsibilities for offering an asset allocation fund that includes investments in alternative assets, the proposed regulation would apply to the selection of any type of investment as a designated investment alternative, including investments in so-called “alternative assets.”That said, the comment period closed with more than 47,000comments!In this episode, Nevin and Fred consider the…alternatives…and the future of the proposal.Episode Resources:Regulations.gov(the comments)DOL Archives - Fred ReishSeason 6 Episode 4: The Investment Selection Proposal | Nevin & Fred % %Talking Points: Retirement Income, Defaults and Fiduciary DutySpecial Edition: Fiduciary Duties In Selecting Designated Investment Alternatives Proposed Rule  https://endeavor- retirement.activehosted.com/index.php?action=social&chash=f770b62bc8f42a0b66751fe636fc6eb0.467&s=f1b8e69fc34995b9d807df36b7a3c6f3AGs, Congressional Democrats Say DOL Proposal Weakens Prudence StandardEBSA's Aronowitz Outlines Fiduciary Framework for ‘Investment Selection Rule'How Many Times Does the DOL Proposed Rule Mention ‘Litigation?'Fiduciary Duties in Selecting Designated Investment Alternatives (the “Investment Selection Rule”)Breaking News: Trump Signs EO to Advance Private Market Investments in 401(k)s

No S not quite doing the trick? Intelligent dietary defaults are a safe way to layer a little more on top — without piling on extra rules and risking the habits you've already built. They make convenience your friend instead of your enemy. A revisit of one of my oldest systems, with eight battle-tested examples.

In this episode of The Wrap, Chris Whalen reveals bank incomes are up but the real story is the trading side of the house driving earnings, not lending, as deposits grow faster than assets forcing banks into trading operations. He warns private credit default rates have hit a record 6%, nearly 10 times worse than bank default rates, signaling the end of the credit cycle as non-banks now lead lending. Whalen predicts double-digit inflation remains likely, expects QE5 to come despite Warsh's denials since the Fed balance sheet must grow proportionally with federal debt, and argues Fed policy is losing efficacy against external war-driven inflation that raising rates won't fix. He discusses massive housing consolidation and M&A deals coming as mortgage lenders face crushing higher rates, details how private equity is rolling up every service provider imaginable (plumbers, electricians, dentists, oncologists) and "screwing them up terribly," warns TIPS aren't reflecting true inflation, and predicts major housing lender mergers between now and year end. Whalen maintains his thesis that the Fed doesn't control long-term rates and that shrinking the balance sheet would be more effective than raising the Fed funds rate, argues the AI momentum trade is crowded and silly, and expects no action from the Fed in June but potential rate hike language removal from statements. Thank you to our partners at Goldco. Get your free 2026 Gold & Silver Kit at https://goldco.com/thewrap or call 855-573-0817Links:    The Institutional Risk Analyst: https://www.theinstitutionalriskanalyst.com/  The Wrap: https://www.theinstitutionalriskanalyst.com/post/theira847Inflated book (2nd edition): https://www.barnesandnoble.com/w/inflated-r-christopher-whalen/1146303673Twitter/X: https://twitter.com/rcwhalen    Use the code TheWrap2026 for 25% off your first year of The Institutional Risk Analyst https://www.theinstitutionalriskanalyst.com/plans-pricingTimestamps:0:00 Introduction - Bank Income Up, Stocks Sideways01:00 Banks recap5:06 Private credit default rate record 6% - 10x worse than banks6:14 Who's most exposed to private credit losses?7:36 Reversal in low rate environment impact9:39 Kevin Warsh and Fed balance sheet strategy10:01 Double-digit inflation still likely?10:40 What were worst impacts of QE?11:00 Housing was the headline impact of QE12:43 Fed housing subsidy went outside their mandate12:51 Fed is progressive institution out of control13:49 We may be closer to QE5 than Bessent knows15:05 Fed balance sheet must grow with federal debt16:04 New leadership - what about Fed funds rate?16:18 Potential for cut or hike?18:06 Base case still stagflation?20:12 Private equity excess cash looking for yield22:10 Politics of housing affordability daunting23:35 Viewer questions - TIPS24:26 Municipal bond default risk 26:24 Why higher inflation won't drive down gold28:42 AI craziness - momentum market29:31 Trump wanted cuts but prospects disappearing29:54 June FOMC - don't expect action31:20 Fed balance sheet more important than Fed funds rate33:11 Next week - bank report Monday

Most people think they need more discipline. They don't. They need better defaults. In this solo episode, Taylor breaks down why discipline is unreliable under pressure and why your real performance is determined by what you do when you're tired, stressed, and overwhelmed. The truth is, you don't rise to your goals… you fall to your defaults. Taylor walks you through how to identify where your current defaults are holding you back, and how to rebuild them so you can stay consistent in your training, your business, and your life, especially when things aren't perfect. Because the version of you on your hardest days? That's the one that determines your results. To get the support your health and fitness business deserves, click the link to find out how you can be a part of the Growth Circle community. https://www.impactinitiative.network/services/growth-circle Free weekly guidance, insight, and tools for health and fitness entrepreneurs: The Business of Coaching - https://taylor75.substack.com/  

In this episode, we discuss how equity and credit investors are reassessing BDC valuations differently – and why high yield defaults continue to play out primarily through distressed exchanges. The discussion and content provided within this podcast is intended for informational purposes only and may not be appropriate for all investors. Reliance upon information provided in a podcast is at the sole responsibility of the listener. The information included herein is not based on any particularized financial situation, or need, and is not intended to be, and should not be construed as, a forecast, research, investment advice or a recommendation for any specific PIMCO or other security, strategy, product or service. Past performance is not a guarantee of future results. All investments contain risk and may lose value. Investors should speak to their financial advisors regarding the investment mix that may be right for them based on their financial situation and investment objective. Podcasts may involve discussions with non-PIMCO personnel and such content contain the current opinions of the speaker but not necessarily those of PIMCO. Other podcasts may consist of audio recording of an existing PIMCO article and such material contains the current opinions of the manager. The opinions expressed in all podcasts are subject to change without notice. Information contained herein has been obtained from sources believed to be reliable, but not guaranteed. PIMCO as a general matter provides services to qualified institutions, financial intermediaries and institutional investors. This is not an offer to any person in any jurisdiction where unlawful or unauthorized. For additional important information go to www.pimco.com/gbl/en/general/legal-pages/podcast-disclosures

Dr. Michael Greger — physician, bestselling author of How Not to Die, and founder of NutritionFacts.org — joins the Plantwise Book Club crew for a live fireside chat focused on how he reads and writes.  In this conversation, we ask Dr. Greger how his team tracks thousands of new studies every day using PubMed alerts, a team of 100+ volunteers, and an increasing use of AI.  He shares how he actively seeks out evidence that challenges his own positions — and the times he's had to reverse course (including a heartbreaking breakup with his favorite fruit). We also cover:

Fear is one of the most natural human responses to uncertainty. When our plans fall apart, the instinct to worry, panic, or imagine the worst can take over almost instantly.But what if the way we respond to those moments is not automatic? What if it's actually a choice?A recent experience reminded me of this truth in a very real way. When unexpected travel disruptions left me stranded in another country, I was faced with a decision many of us encounter in difficult situations: would I respond with fear, or with faith?Scripture has long taught that faith can bring peace even in uncertain circumstances. And now, modern neuroscience shows something similar.When we intentionally choose trust, prayer, and reflection, it can calm the brain's fear response and help us regulate the stress and anxiety that uncertainty often triggers.How does faith help calm the mind and body in moments of uncertainty?In this episode, I share how choosing faith over fear can transform the way we respond to challenges, and why this daily choice can strengthen resilience in the face of life's unpredictable moments.Things You'll Learn In This Episode Fear is the default responseThe brain is wired to detect threats and activate a rapid stress response. Why can this survival mechanism leave us stuck in cycles of anxiety when we face uncertainty today?What happens when fear takes overWhen the brain's alarm system dominates, it can suppress the part of the brain responsible for reasoning and emotional regulation. How does this “amygdala hijack” shape the way we react to stressful situations?Faith can calm the mind and bodySpiritual practices such as prayer and reflection can help regulate the brain's stress response. How do faith and neuroscience point to similar pathways for building resilience?About Your HostHosted by Dr. Deepa Grandon, MD, MBA, a triple board-certified physician with over 23 years of experience working as a Physician Consultant for influential organizations worldwide. Dr. Grandon is the founder of Transformational Life Consulting (TLC) and an outspoken faith-based leader in evidence-based lifestyle medicine.Disclaimer ​​TLC is presenting this podcast solely for information sharing. It is not medical advice or intended to replace the judgment of a licensed physician. TLC is not responsible for any claims related to procedures, professionals, products, or methods discussed in the podcast, and it does not approve or endorse any products, professionals, services, or methods referenced.Check out this episode on our website, Apple Podcasts, or Spotify, and don't forget to leave a review if you like what you heard. Your review feeds the algorithm, so our show reaches more people. Thank you!

Industrial Tenant Defaults Rising: Small-Space "Midnight Moves" and Growing Sublease Supply On the Industrial Advisors podcast, Bill Condon and Matt McGregor discuss a recent rise in tenant defaults over the past six months, especially in smaller industrial spaces, drawing parallels to the post-2008 era when small tenants drove vacancy spikes (flex vacancy rising to 22% from 4%). They attribute today's defaults to COVID-era leasing decisions, tenants taking more space at higher rents amid inflated sales, and supply-chain constraints - followed by economic softening and supply-chain correction. They cite recent examples of a 16,000-square-foot "midnight move," a 20,000-square-foot business failure, late-rent letters, and even a 110,000-square-foot issue. Sublease inventory has grown from about 400,000 square feet in late 2022 to over 7 million, increasing default risk. They advise landlords to monitor rent closely, communicate early, and consider payment plans, while tenants should be transparent and engage landlords before arrears accumulate. 0:00 Introduction to Tenant Defaults 0:42 Historical Trends and the 2008 Comparison 1:25 Why COVID-Era Leases are Failing Now 2:15 Recent Examples of Midnight Moves and Defaults 3:10 The Massive Surge in Sublease Inventory 4:00 Advice for Landlords and Tenants

Interview recorded - 30th of March, 2026On this episode of the WTFinance podcast I had the pleasure of welcoming back Danielle DiMartino Booth. Danielle is the CEO & Chief Strategist for QI Research. She is the author of Fed Up and a global thought leader in monetary policy, economics and finance with 9 years experience at the Federal Reserve Bank of Dallas.During our conversation we spoke about the current issues in the economy, energy crisis, how businesses can't catch a break with tariffs, energy costs and higher rates, FED reaction, liquidity shift, Private Credit and impact on markets. I hope you enjoy!0:00 - Introduction2:46 - Overview of economy4:49 - Comparing to prior energy crisis?6:29 - Where is the leverage?7:15 - Companies struggling8:56 - Unemployment11:26 - FED reaction14:53- What should FED do?18:13 - Kevin Warsh nomination19:26 - Liquidity shift22:15 - Private Credit Concerns25:20 - Impact on markets27:06 - One message to takeaway?DiMartino Booth set out to launch a #ResearchRevolution, redefining how market intelligence is conceived and delivered to guide portfolio managers and promote financial literacy. To build QI, she brought together a core team of investing veterans to analyze the trends and provide critical analysis on what is driving the markets – both in the United States and globally.Since their inception in 2015, commentary and data from DiMartino Booth's The Daily Feather and The Weekly Quill have appeared in other financial sources such as Bloomberg, CNBC, Fox Business, Institutional Investor, Yahoo Finance, The Wall Street Journal, MarketWatch, Seeking Alpha, TD Ameritrade, TheStreet.com, and more.A global thought leader in monetary policy, economics, and finance, DiMartino Booth founded QI Research in 2015. She is the author of FED UP: An Insider's Take on Why the Federal Reserve is Bad for America (Portfolio, Feb 2017), a business speaker, and a commentator frequently featured on CNBC, Bloomberg, Fox News, Fox Business News, BNN Bloomberg, Yahoo Finance and other major media outlets.Prior to QI Research, DiMartino Booth spent nine years at the Federal Reserve Bank of Dallas. She served as Advisor to President Richard W. Fisher throughout the financial crisis until his retirement in March 2015. Her work at the Fed focused on financial stability and the efficacy of unconventional monetary policy.DiMartino Booth began her career in New York at Credit Suisse and Donaldson, Lufkin & Jenrette where she worked in the fixed-income, public equity, and private equity markets. DiMartino Booth earned her BBA as a College of Business Scholar at the University of Texas at San Antonio. She holds an MBA in Finance and International Business from the University of Texas at Austin and an MS in Journalism from Columbia University.Danielle DiMartino Booth - Website - https://quillintelligence.com/Twitter - https://twitter.com/DiMartinoBoothYouTube - @DanielleDiMartinoBoothQI WTFinance -Spotify - https://open.spotify.com/show/67rpmjG92PNBW0doLyPvfniTunes -https://podcasts.apple.com/us/podcast/wtfinance/id1554934665?uo=4LinkedIn - https://www.linkedin.com/in/anthony-fatseas-761066103/Twitter - https://twitter.com/AnthonyFatseas

The episode identifies risk allocation and governance gaps in managed service provider (MSP) contracts as the prevailing structural challenge driven by the rapid deployment of AI solutions and evolving vendor models. This shift is characterized by increased pressure from both upstream vendors—including Microsoft, Anthropic, and OpenAI—and end clients, who demand swift adoption of AI-enabled productivity features without corresponding updates to underlying agreements or clarity on responsibility. These market developments have introduced new liability exposures for MSPs, as legacy contract language is ill-suited for environments where MSPs rely on, or are required to implement, external or agentic technologies. The discussion details how aggressive marketing and client demand for AI solutions outpace both technical maturity and customer readiness for governance. According to Speaker B, this urgency often pressures MSPs to deploy AI features—such as automated recommendations for firewall settings or configuration changes—without comprehensive risk disclosure or client policy alignment. The transcript notes a pattern in which clients insist on operational changes based on AI system outputs, even when technical staff advise caution, resulting in disputes over responsibility when these interventions lead to adverse outcomes. The episode further highlights operational risk endemic to the shift toward consumption-based pricing and increasing default configurations set by upstream vendors. For instance, Microsoft's move toward extended service term (EST) pricing and other consumption models are cited as drivers that transfer variable cost risk directly to MSP clients. The lack of customer engagement in quarterly business reviews and misalignment in expectations around true-up processes were presented as reinforcing issues, potentially leaving service providers solely accountable for the financial and operational impact of unexpected platform behavior or AI incidents. For MSP operators, the immediate operational implications include the necessity for explicit contract revisions, detailed service descriptions, and targeted AI-specific policies referenced at the quoting and onboarding stages. Providers are advised to distinguish clearly between services, tools, and outcomes within agreements and establish client buy-in through formal documentation and regular communication. Without disciplined governance procedures, written allocation of AI-related risks, and enforced business reviews, MSPs face elevated exposure to liability inherited from vendor defaults and unaddressed gaps in legacy contract frameworks. Supported by: RythmzABC Solutions, LLC

Most people think they're overwhelmed because they're busy. In reality, they're overwhelmed because they're deciding too much. Every small choice - what to eat, when to work out, how to start the day, when to stop - pulls from the same mental pool. When those decisions are made from scratch every day, it creates friction that builds. In this episode, I break down what I call “defaults” and why they function as infrastructure in your life. We get into default meals, default routines, work blocks, Sunday resets, and how to reduce decision fatigue without becoming rigid. If you're tired of relying on motivation and still feeling scattered, this is the shift.Subscribe to Beyond Your Budget:https://breakyourbudget.substack.com/Personal Finance Starter Kit: https://breakyourbudget.substack.com/p/your-personal-finance-starter-kitBREAK YOUR BUDGET RESOURCES:

Wanna work with us? Schedule a call here: https://go.oncehub.com/bookacall As a private lender, how do you determine the right loan amount for a deal? The answer isn't what you think… it's found in your defaults. In this episode of the Private Lenders Podcast, Jason Balin and Chris Haddon of Hard Money Bankers break down one of the most overlooked—but critical—lessons in private lending: your performing loans don't tell the full story… your defaults do. If you're a hard money lender, private lender, or real estate investor, this episode dives deep into how to properly evaluate loan-to-value (LTV), manage risk, and structure deals that protect your capital—especially when things go wrong. What you'll learn in this episode: Why defaulted loans are the true indicator of proper loan amounts How to analyze deals based on worst-case scenarios—not best-case outcomes The risks of high leverage (100% financing, inflated ARVs, and aggressive LTVs) Why even "good deals" can still default—and how to protect yourself How borrower behavior impacts defaults (and what you can and can't control) The importance of equity cushion and conservative lending strategies Real-world examples of defaults, foreclosures, and loan recovery outcomes Whether you're new to private lending or scaling a large portfolio, understanding how to structure loans based on downside protection—not just deal flow—is essential for long-term success.

One of the most common questions in self-defense is simple:“How long does it take to get good?”In this episode, John and Josh break down what “good” actually means in real-world self-defense — and why the answer has less to do with belts or techniques and more to do with consistency, stress exposure, and time.You can learn information in a weekend.You cannot build reliable habits under pressure that fast.Real self-defense requires:Pattern recognitionEmotional regulationStress adaptationProportional decision-makingPhysical execution under pressureThose defaults take time.John explains why:The first 90 days build awareness and basic movementAround one year of consistent training builds reliable competenceWeekend seminars introduce ideas — they do not create default behaviorConsistency beats intensityIdentity matters: becoming someone who trains changes everythingSelf-defense is not downloadable.It is built.Train more. Suck less.Key Learning Highlights1️⃣ Define “Good” Before You Define the TimelineGood does not mean:Knowing techniquesWinning sparring roundsFeeling confidentGood means:Recognizing threats earlyManaging adrenalineMaking lawful, proportional decisionsPerforming under stress2️⃣ The First 3 Months: FoundationWith consistent training:Movements improveAwareness increasesInitial confidence buildsBasic responses become familiarBut knowing is not doing.3️⃣ Around One Year: Reliable CompetenceAfter a year of consistent training (2–3 times per week):Reactions become more naturalStress exposure increasesDecision-making improvesConditioning supports performanceEgo decreasesThis is not mastery — but it is reliability.4️⃣ Why Weekend Seminars Don't WorkYou cannot compress:Pattern recognitionEmotional regulationMuscle memoryStress adaptationInto a weekend.Seminars introduce ideas.Training builds defaults.Under stress, you default.Defaults take time.5️⃣ Consistency Over IntensityTraining 2–3 times per week consistently is far more effective than:Sporadic five-day burstsOne-time seminars“I trained 20 years ago”Skill decays quickly without repetition.6️⃣ The Identity ShiftEventually, self-defense becomes part of who you are:“I train.”“I'm a protector.”“I take responsibility for my safety.”At that point, it stops being a goal and becomes a discipline.Who This Episode Is ForAdults starting self-defense later in lifeParents who want to feel saferResponsible firearm ownersGym members wondering about progress timelinesAnyone asking, “How fast can I feel safe?”Listen & SubscribeSpotify:https://open.spotify.com/show/6hDh7OscpVMKLLY8rCvgqsApple Podcasts:https://podcasts.apple.com/us/podcast/the-john-hallett-podcast/id1651930801Universal Link:https://redcircle.com/shows/a982e1e3-972c-4e9f-b369-6b29534df441YouTube Playlist:https://www.youtube.com/playlist?list=PLIJr7pPF9el8qfN4mG9p8BxtuPKOpSBVn

Today's Post - https://bahnsen.co/47xUXzF David Bahnsen hosts this week's Dividend Cafe, briefly noting ongoing Iran-related market volatility but avoiding a third straight week of geopolitical speculation, criticizing market pundits for pseudo-military commentary. He instead addresses private credit, arguing mainstream narratives wrongly conflate liquidity/redemption features with claims of current, broad credit distress. He says reported loan issues are being overstated, noting a $600 million sale from a multi-billion-dollar portfolio cleared at 99.7% of par, and that future defaults—if they rise—won't be monolithic and require manager-, collateral-, and portfolio-level nuance. He outlines five points: avoid simplistic AI/software assumptions; recent loan sales were near par; losses fall on investors, not banks, making risk non-systemic; a washout of weak managers can strengthen capital allocation; and investors should distinguish good vs bad and aligned vs non-aligned managers. He adds software loan yields rose while total loan yields are lower than a year to 18 months ago. 00:00 Welcome and Market Volatility 00:42 Why Not Iran Again 02:51 Private Credit Enters Spotlight 03:25 Defaults vs Liquidity Confusion 04:57 What the Facts Show 06:11 AI Software Loan Hype 07:06 Five Key Takeaways 08:56 Systemic Risk Myth 10:20 Alignment Matters Most 11:28 Chatter vs Reality 12:37 Chart and Final Thoughts Links mentioned in this episode: DividendCafe.com TheBahnsenGroup.com

C.S. Lewis once said that our ideas about God are not "divine ideas." As much as we'd like to believe that our views of God are always biblical, we all bring assumptions and default beliefs to the table through our lived experience. Our culture, relationships, childhood hurts, and even our churches can all wrongly influence and shape our beliefs about who God is – often without us even realizing it. Rather than following  the one, true God, we end up worshiping a God shaped by our own experiences.  In this series, we'll examine some common default views of God many of us carry – often unconsciously – and ask whether they tell the whole story. We'll invite God to shatter some of these false images to make way for a clearer view. And as we do, we'll pray to be reshaped into the kinds of people who don't project our fears onto God but rather reflect God's wisdom and ways into the world.   This week, we considered how we respond once we have recognized our default pictures of God. How can we move toward God so our pictures can be re-formed and grounded in a truer, more beautiful picture of who God actually is? If you are interested in the guides we shared in the gathering, you can find them here: Breath Prayer Scripture Memorization Examen If you would like to practice a reflection on our pictures of God here is one we did in Practice Tables  If The Practice Church is your home community, please join the Core Team. If The Practice Church has been meaningful to your journey, would you consider a tax-deductible gift? You can give at https://thepracticechurch.com/give/

Sara and Anna are back with another episode of Geordie Lass & Doc Sass, bringing their usual mix of humour, honesty and real talk about relationships.   The conversation begins with the collective relief of making it through January, reflections on Dry January discipline (or flexible discipline), and the feeling that the light is finally returning after the long winter months. But quickly the conversation turns to something many couples quietly experience but rarely name.   This week's Love Desk introduces the concept of relationship burnout, and it sparks a deeper conversation about the pressure modern life places on connection, communication and emotional energy.   Later in the episode, Sara and Anna explore a thought-provoking question: if your relationship had a warning label, what would it say? It's a surprisingly powerful way to reflect on the patterns we bring into relationships and how those patterns shape the way we communicate, argue, and reconnect.   The episode closes with a listener question that many people will recognise — what to do when your partner says “that's just how I am” when something they do hurts you.         Love Desk: Relationship Burnout — when life gets too full for connection Sara introduces a rising trend being discussed more frequently in relationship circles: relationship burnout. Much like workplace burnout, it happens slowly and often without us realising it.   They explore how: • modern life creates constant pressure from work, family and responsibilities • the mental load leaves very little emotional capacity for relationships • couples can slowly drift into “transactional living” rather than real connection • busyness becomes a badge of honour, even when it erodes wellbeing • partners can end up sharing space but not emotional closeness • guilt and emotional exhaustion can be early signs of burnout   They also discuss how many couples postpone addressing relationship issues because life feels too busy — only to discover later that the connection has quietly faded. A key reminder from this conversation: being busy together is not the same as being connected.   Hot Topic: If your relationship had a warning label, what would it say? In this playful but insightful exercise, Sara and Anna explore the idea of relationship “warning labels”.   It's a way of looking honestly at the patterns we bring into our relationships without shame or blame.   Possible warning labels might include:   • “Avoids difficult conversations until things explode.” • “Very loving but terrible under stress.” • “Defaults to practical solutions when emotions are needed.” • “Assumes mind-reading instead of asking.” • “Forgets fun when life gets busy.”   The exercise encourages listeners to step back and reflect on their own patterns and the dynamics they co-create with their partner. Sara and Anna also explore how many relationship behaviours come from childhood experiences and family norms. What feels “normal” to one partner may feel overwhelming or unhealthy to the other.   The key insight: awareness creates the opportunity for change.   Listener Question: “My partner says ‘that's just how I am' when I raise something that hurts me.” This week's listener asks a question that highlights a very common relationship dilemma. How do you address behaviour that hurts you when your partner insists it's simply part of their personality?   Sara and Anna unpack: • why this situation often appears in anxious–avoidant relationship dynamics • the fear that can sit underneath emotional avoidance • how defensive responses can shut conversations down quickly • why “you always” and “you never” statements often make conflict worse • how changing the way we ask questions can open safer conversations • why curiosity often works better than accusation   They also highlight an important truth: it often only takes one partner to begin shifting the dynamic of communication. Small changes in how conversations are approached can create surprisingly powerful changes in how partners respond.   Reflection from this episode • Busyness can slowly erode connection if we're not paying attention • Many relationship patterns come from family experiences we've never questioned • Awareness is the first step toward changing unhealthy dynamics • The way we communicate matters as much as what we communicate • Even one partner making small changes can influence the whole relationship dynamic   There is always a way to take one small step back towards connection, even if you start on your own.   Till Next Time   Stay Connected Sara Liddle — info@inflori.co.uk | www.inflori.co.uk Anna Stratis — coachdocanna@gmail.com | www.coachdocanna.com

C.S. Lewis once said that our ideas about God are not "divine ideas." As much as we'd like to believe that our views of God are always biblical, we all bring assumptions and default beliefs to the table through our lived experience. Our culture, relationships, childhood hurts, and even our churches can all wrongly influence and shape our beliefs about who God is – often without us even realizing it. Rather than following  the one, true God, we end up worshiping a God shaped by our own experiences.  In this series, we'll examine some common default views of God many of us carry – often unconsciously – and ask whether they tell the whole story. We'll invite God to shatter some of these false images to make way for a clearer view. And as we do, we'll pray to be reshaped into the kinds of people who don't project our fears onto God but rather reflect God's wisdom and ways into the world.   This week, we explored the role of expereinces, emotions, and explanations in our default pictures of God. How do they shape meaning in our lives and impact the way we relate to God? If you would like to practice a reflection on our pictures of God here is one we did in Practice Tables  If The Practice Church is your home community, please join the Core Team. If The Practice Church has been meaningful to your journey, would you consider a tax-deductible gift? You can give at https://thepracticechurch.com/give/

C.S. Lewis once said that our ideas about God are not "divine ideas." As much as we'd like to believe that our views of God are always biblical, we all bring assumptions and default beliefs to the table through our lived experience. Our culture, relationships, childhood hurts, and even our churches can all wrongly influence and shape our beliefs about who God is – often without us even realizing it. Rather than following  the one, true God, we end up worshiping a God shaped by our own experiences.  In this series, we'll examine some common default views of God many of us carry – often unconsciously – and ask whether they tell the whole story. We'll invite God to shatter some of these false images to make way for a clearer view. And as we do, we'll pray to be reshaped into the kinds of people who don't project our fears onto God but rather reflect God's wisdom and ways into the world.   This week, we considered how our stated beliefs about God can differ from the default beliefs that drive our actions and relationship with God.  If you would like to practice a reflection on our pictures of God here is one we did in Practice Tables  If The Practice Church is your home community, please join the Core Team. If The Practice Church has been meaningful to your journey, would you consider a tax-deductible gift? You can give at https://thepracticechurch.com/give/

Software default rates could hit double digits as AI disruption spreads and loans come due, according to Bain Capital. “We’re going to see real stress,” said Angelo Rufino, the firm’s head of special situations in North America and corporate special situations in Europe. “We will see a full credit cycle as the reckoning really comes to resize capital structures to the earnings power of these business models,” he tells Bloomberg News’ James Crombie and Bloomberg Intelligence’s David Havens in this episode of the Credit Edge podcast. They also discuss investment-grade private credit, data center debt and asset-based finance, including the rise of music-royalty deals.See omnystudio.com/listener for privacy information.

- Book Generator Progress and Updates (0:11) - Interviews and Documentaries (3:42) - Financial Markets and Geopolitical Updates (5:44) - European Economic Collapse and Refugee Crisis (14:27) - Trump's Role and AI Job Replacement (23:13) - Patrick Byrne's Interview and Political Insights (52:40) - AI and Economic Implications (1:06:39) - Government's Role and Technological Advancements (1:18:43) - Philosophical Foundations of Government (1:20:23) - Technological Advancements and Government's Role (1:24:33) - Google's Role in Censorship and Surveillance (1:25:06) - The Rise of AI and Its Implications (1:42:26) - The Role of AI in Survival and Independence (1:42:42) - The Philosophical Implications of AI (2:14:45) - The Role of AI in Medicine (2:15:46) - The Ethical Implications of AI (2:25:35) - The Future of AI and Humanity (2:29:15) - Demonic Energy and AI Control (2:29:54) - Sexual Perversion and Robotics (2:33:39) - Consciousness vs. Cognition (2:37:29) - Morphic Resonance and Human Knowledge (2:46:09) - Healing and Morphic Fields (2:49:05) - Decentralized Knowledge and AI Tools (2:54:48) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com