Podcasts about Merge

L.A. County Fire Department has determined that Southern California Edison equipment caused the Eaton Fire last year. A federal judge has set a date for the antitrust lawsuit challenging the Paramount Skydance and Warner Bros merger. Local reps are calling for long term relief for Boyle Heights residents impacted by the Linage warehouse fire. Plus, more from Evening Edition. Support The L.A. Report by donating at LAist.com/join and by visiting https://laist.comSupport the show: https://laist.com

How do you learn to accept the differences between you and your mate even when they rub you the wrong way? John and the Smalley's open up about times they've worked through annoyances in their own marriages. Plus, Joey and Kari Stageberg tell Jim Daly a funny story about how cleaning a sink created a misunderstanding. Find us online at focusonthefamily.com/marriagepodcast or call 1-800-A-FAMILYThe Merge for MarriageFocus on Marriage AssessmentBlending Two Lives into One Flesh (Digital)Dealing with Your Differences: Decide, Don’t SlideSpeak with a Counselor

You Can Not Merge There Sir!

It's Official: A New World War Has Begun! Welcome To The MEGA-WAR! Mideast, Europe Conflicts Merge! Cyber Attacks Hit Water Supply In Seven States!

Conni pornește într-o nouă aventură alături de mama ei: o vizită la magazin. Pe parcurs, descoperă cum alegem produsele de care avem nevoie, de ce este importantă lista de cumpărături și cât de util este să fim atenți atunci când cumpărăm.Melodia de pe fundal - Midsummer Sky de la Kevin MacLeod este licențiată în baza unei licențe Creative Commons Attribution 4.0 https://creativecommons.org/licenses/by/4.0/Sursă: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100158Artist: http://incompetech.com/

Salvatore Vitale and Calin Plunkett of MIT explain hierarchical merging, a process where black holes merge repeatedly to create larger "monsters." By analyzing gravitational waves from 155 binary pairs, they discovered that 14% are second-generation black holes, born from previous mergers rather than stellar collapse. These second-generation black holes are characterized by rapid spin and mass asymmetry, providing clues to how supermassive black holes form in galaxies. (7)1897 WISCONSIN, LENS BY ALVIN CLARK AND SONS

Episode 7 of Secretly Weekly - a bi-weekly podcast show highlighting the most recent tracks released in the Secretly ecosystem. Everything from Secretly Group, All Flowers Group, Merge and Numero Group. A radio show delivered to your podcast feed, once every two weeks; hosted by WFHB's Music Director, Abby Noroozi. Track listing Marmoset - Golden Cloak June Panic - David Poe The Impossible Shapes - Putrefaction Jens Lekman - You Are The Light (by which I travel into this and that) Swearing At Motorists - Flying Pizza Early Day Miners - Return of the Native Windsor For The Derby - The Melody of a Fallen Tree Havergal - New Innocent Tyro Allegory Damien Jurado - Abilene Songs: Ohia, Jason Molina - Blue Chicago Moon Credit music by Richard Swift.

What if the next trillion-dollar platform isn't an AI company, but a merger? In today's episode of The Valley Current®, Jack Russo explores the growing evidence that Tesla and SpaceX could eventually combine into a single technology ecosystem with ambitions far beyond electric vehicles and rockets. The discussion examines how Starlink, AI, autonomous driving, advanced silicon, energy storage, and consumer hardware could fit into a unified strategy designed to compete with today's tech giants. Jack also cuts through the online hype surrounding a so-called "Tesla Pi Phone," explains why Texas corporate law may provide a favorable path for a complex merger, and weighs the legal, regulatory, and national security obstacles that could still derail the deal. What if Elon Musk's next moonshot isn't a rocket but the largest corporate merger in modern history? Jack Russo Managing Partner Jrusso@computerlaw.com www.computerlaw.com https://www.linkedin.com/in/jackrusso "Every Entrepreneur Imagines a Better World"®️  

Gathered in the beautiful canyon skies at the Awakening Mind Retreat Center in Utah, this talk invites you into the vibrant Opening Session of our first New Revelations Festival! This in-person community event is a profound celebration of spiritual awakening, music, dance, and deep togetherness.In this talk, David, Kirsten, and Jason explore the liberating practice of "undoing the doer"—the deeply transformative process of pausing, stepping back, and allowing divine inspiration to effortlessly move through us. They discuss what it means to stop analyzing and simply merge with our Divine Source.This opening session culminates in the ultimate expression of this surrender: a mystical EDM dance. Here, the goal is to drop all bodily focus and let the frequency of the music involuntarily dance through you. Tune in to feel the high-vibration energy of this gathering, and discover how relinquishing your personal story can open the door to unadulterated, spontaneous joy.Merge into the music with our “New Revelations” playlist from this opening session:https://suno.com/playlist/0212dba4-5e32-4b46-943a-053e6b1f4d18 Stay connected with our Awakening Mind Community & events:https://www.instagram.com/awakeningmind1/https://awakening-mind.org/ If you want to learn more about David Hoffmeister and Living Miracles events, visit https://circle.livingmiraclescenter.org/eventsRecorded live at the Awakening Mind Retreat Center in Utah on the evening of July 24, 2026. Follow us on:YouTube:https://www.youtube.com/DavidHoffmeister https://www.youtube.com/@LivingMiraclesFacebook:https://www.facebook.com/ACIM.ACourseInMiracles Learn more about David & Living Miracles:https://circle.livingmiraclescenter.org/eventsLearn more about A Course in Miracles:https://ACIM.bizDavid's Spanish YouTube Channel is: https://www.youtube.com/channel/UCP9Gw00CldPUmiu43y7fdWwDavid's Portuguese YouTube Channel is:https://www.youtube.com/@davidhoffmeisterucem

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

Support us as we expand our challenge to our broken media here: https://www.patreon.com/owenjones84 or here: https://kofi.com/owenjonesYou can pre-order my new book THE FALL OF THE WEST now: https://bit.ly/FallOfTheWestSupport this show http://supporter.acast.com/the-owen-jones-podcast. Hosted on Acast. See acast.com/privacy for more information.

Adam joined Vineeta to discuss Minnesota driving habits including one key stretch on 394. Listen, on the WCCO Morning News!

Adam joined Vineeta to discuss Minnesota driving habits including one key stretch on 394. Listen, on the WCCO Morning News!

The Pear Lake and Fiftynine Creek fires were already roaring out of control near Clinton, British Columbia. But over the weekend, they merged, threatening communities northwest of Kamloops.We speak with Bernice Weihs-Anderson, a longtime resident of Clinton, B.C., and a former member of the village's volunteer fire department about her evacuation on Friday, and what her community needs right now.

By Paul Zahl and Hewes Hull

Connected TV is becoming a performance marketing channel. Alison Clark, CTV and Go-to-Market Strategy Lead at AdRoll, breaks down why CTV is merging with digital advertising. She explains how video fits inside a unified digital strategy, why omnichannel buys across TV, display, and social work as one plan, and how brand perception now feeds AI-driven marketing outcomes.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Connected TV is becoming a performance marketing channel. Alison Clark, CTV and Go-to-Market Strategy Lead at AdRoll, breaks down why CTV is merging with digital advertising. She explains how video fits inside a unified digital strategy, why omnichannel buys across TV, display, and social work as one plan, and how brand perception now feeds AI-driven marketing outcomes.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Join us as we journey through lesser-known corners of the Star Wars galaxy, spotlighting the enigmatic Morseerian species and their surprisingly detailed universe. Whether you're a die-hard fan or newcomer, unpacking these obscure characters enriches our understanding of the galaxy far, far away. In this episode: An introduction to Nabrun Leids, a barely seen but visually striking cantina patron Deep dive into the species: biology, origins, and appearances in the franchise The role of design and conceptualization behind minor characters, including costume sketches by John Mollo Speculation on profession: from space scientists to galactic smugglers, possibilities galore The species' potential for storylines in future projects, including Mandalorian and beyond Drinks of the Star Wars universe: from blue milk to exotic cocktails like Yoda Soda and Dark Side Martinis How obscure characters add richness and diversity to the galactic tapestry Fan engagement: creating your own Morseerian character and their backstory Timestamp Highlights: (00:20) Welcome and episode overview—returning to the Rishi species and obscure characters (01:23) Introduction to Nabrun Leids and the unique species known as Morseerian (04:39) Species overview: biology, habitat, and visual traits such as gas masks and four arms (06:23) Cultural details: secretive, methane respiratory species from the planet Merge (09:40) Appearances in canonical and extended universe materials: from A New Hope to Mandalorian (11:44) Behind the scenes: costume design evolution from sketches to screen (13:25) Connection to broader galaxy narratives—potential in new series and cosplay ideas (18:57) What would a Morseerian drink at the cantina? Exploring fictional Star Wars beverages (23:28) The significance of lesser-known species in expanding the universe's depth (26:40) Imagining a professional role: from space trucker to scientist, and fan-made fan theories (30:55) Exploring the planet Merge: history, role in the Clone Wars, and secretive activities (42:35) The proof that Star Wars fans find fascinating stories everywhere—from the obscure to the legendary (44:15) Future projects and the ongoing quest for galaxy-wide diversity Resources & Links: Socials: @wstrmedia Email: mailbox@wstrmedia.com Join us next time as we explore the summer of 86 in movies, diving into iconic films from the year that shaped a generation, only here on WSTR Galactic Public Access!

The House passed a new defense bill, and it received bipartisan pushback over allegedly merging our military tech and supply chain with Israel, but Glenn points out where these critiques are wrong and what the bill actually says. Glenn, alongside Jason, answers some questions from his subscribers regarding the ongoing conflict in Iran. Glenn discusses the terrifying stories of AI systems escaping containment, which puts our ability to control AGI into question. Glenn breaks down how the current housing crisis stems from government rules and immigration boosting and reveals how the crisis can be fixed locally by removing regulations and allowing builders to mass-produce affordable homes. When the problems of the world get to be overwhelming, Glenn shares what you can do in your everyday life to make America feel like America again. Glenn and Jason discuss Secretary of State Marco Rubio's latest speech, where he ensured the Trump administration would not allow communist influences to undermine our politics or our society.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In the race to implement AI for operational efficiency, are we accidentally designing the essential human elements of creativity, judgment, and trust out of our organizations?Agility requires not just the rapid adoption of new technologies like AI, but the deliberate and human-centered redesign of the culture and processes that support them.Today, we're going to talk about:- Why AI adoption is less about the technology itself and more about a fundamental cultural paradigm shift within your organization.- Balancing AI-driven efficiency with the essential human elements of creativity, judgment, and empathy to create superior customer and employee experiences.- How complex industries like healthcare can serve as a model for using AI to democratize knowledge and empower consumers.To help me discuss this topic, I'd like to welcome, Stephanie Trunzo, Chief Executive Officer at MERGE. Stephanie, welcome to the show!About Stephanie TrunzoStephanie Trunzo is CEO of MERGE and a veteran tech and health leader with 20+ years of experience in technology, marketing, health, and storytelling. Formerly SVP and General Manager at Oracle, where she launched Oracle Health and led the Cerner acquisition, she also held executive roles at IBM and was President/COO of PointSource. As a recent addition to MERGE's board in 2024, Stephanie is poised to drive the company's growth at the dynamic intersection of consumerism and health and wellness. A pioneer in AI with over 20 patents, she's recognized for her thought leadership and was named to the Frist Cressey Ventures Collective in 2024. In 2026, she received an MM+M Pinnacle Award, and under her leadership, MERGE was named 2025 Agency of the Year and made the 2026 MM+M Agency 100 list. Stephanie Trunzo on LinkedIn ---------- Resources ---------- MERGE MERGE is a marketing and technology agency built for the intersection of health and wellness. They help organizations navigate AI, digital transformation, and emerging technologies with a human-centered approach, using storytelling and technology to create more meaningful connections with the people they serve. We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Chaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose.Start building your own apps with Replit and get $20 off. Enjoyed the show? Tell us more at and give us a rating so others can find the show.Connect with Greg on LinkedInDon't miss a thing: get the latest episodes, sign up for our newsletter and more.Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology.The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. Hosted on Acast. See acast.com/privacy for more information.

Hosted on Acast. See acast.com/privacy for more information.

In the race to implement AI for operational efficiency, are we accidentally designing the essential human elements of creativity, judgment, and trust out of our organizations?Agility requires not just the rapid adoption of new technologies like AI, but the deliberate and human-centered redesign of the culture and processes that support them.Today, we're going to talk about:- Why AI adoption is less about the technology itself and more about a fundamental cultural paradigm shift within your organization.- Balancing AI-driven efficiency with the essential human elements of creativity, judgment, and empathy to create superior customer and employee experiences.- How complex industries like healthcare can serve as a model for using AI to democratize knowledge and empower consumers.To help me discuss this topic, I'd like to welcome, Stephanie Trunzo, Chief Executive Officer at MERGE. Stephanie, welcome to the show!About Stephanie TrunzoStephanie Trunzo is CEO of MERGE and a veteran tech and health leader with 20+ years of experience in technology, marketing, health, and storytelling. Formerly SVP and General Manager at Oracle, where she launched Oracle Health and led the Cerner acquisition, she also held executive roles at IBM and was President/COO of PointSource. As a recent addition to MERGE's board in 2024, Stephanie is poised to drive the company's growth at the dynamic intersection of consumerism and health and wellness. A pioneer in AI with over 20 patents, she's recognized for her thought leadership and was named to the Frist Cressey Ventures Collective in 2024. In 2026, she received an MM+M Pinnacle Award, and under her leadership, MERGE was named 2025 Agency of the Year and made the 2026 MM+M Agency 100 list. Stephanie Trunzo on LinkedIn ---------- Resources ---------- MERGE MERGE is a marketing and technology agency built for the intersection of health and wellness. They help organizations navigate AI, digital transformation, and emerging technologies with a human-centered approach, using storytelling and technology to create more meaningful connections with the people they serve. We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Chaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose.Start building your own apps with Replit and get $20 off. Enjoyed the show? Tell us more at and give us a rating so others can find the show.Connect with Greg on LinkedInDon't miss a thing: get the latest episodes, sign up for our newsletter and more.Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology.The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. Hosted on Acast. See acast.com/privacy for more information.

Episode 6 of Secretly Weekly - a bi-weekly podcast show highlighting the most recent tracks released in the Secretly ecosystem. Everything from Secretly Group, All Flowers Group, Merge and Numero Group. A radio show delivered to your podcast feed, once every two weeks; hosted by WFHB's Music Director, Abby Noroozi.   Track listing 1. Black Marble - Jim Carol New Year 2. Nirosta Steel - English Party 3. The Cave Singers - Distant Sures 4. Will Charette - Dear Prudence 5. Max Subar - Anything Could Be 6. Here We Go Magic - Make Up Your Mind 7. Yoko Ono - Walking on Thin Ice 8. KL Hamilton - I'm Trying 9. Aaron Frazer - If I Got It (Your Love Brought It) 10. MRCY - Lorelei   Credit music by Richard Swift.

Tony Holdstock-Brown is the co-founder and CEO of Inngest, the durable execution platform that quietly powers your favorite AI agents.We get into why agents work in a demo and die in production, building their own cloud to get 20x lower cost, growing 35x after AWS and Cloudflare copied them, growing a dev tools company without a personal brand or Twitter account, why he thinks evals today are like “asking the criminal if they committed the crime”, and the thing they built to score 100% of your production agents without paying for LLM as a judge.Thank you to Numeral, Flex, Amplitude, Merge, and Monaco for supporting this episode.Numeral: Sales tax on autopilot https://www.numeral.comFlex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapitalAmplitude: AI analytics https://www.amplitude.comMerge: Every model, one API https://www.merge.dev/turnerMonaco: The revenue engine for startups https://www.monaco.com/Timestamps:(0:00) The hidden infra layer every AI agent runs on(1:46) Building complex chains of logic(3:31) Why agent SDK's don't go far enough(4:49) Healthcare was the original event-driven nightmare(6:32) Storing traces on your infrastructure enables self-improving loops(14:26) Why Inngest was already in the right place for AI(15:49) Score agents off product events, not LLM's(17:31) The OpenAI copy-paste signal(21:24) Swap in LLMs and cut costs 20x(23:44) How customers pulled the product forward(25:41) Orchestration belongs outside the sandbox(29:48) Building a neocloud to cut costs 20x(32:09) Most neoclouds just resell AWS(32:54) All AI infrastructure is converging(34:49) Why Claude can't just build your backend(36:44) How to build a software factory(39:12) Agents are a lottery you get addicted to(42:44) Loops must exist until AGI hits(45:38) If models keep getting better, why orchestrate?(48:28) When incumbents steal your features(52:30) Why you can't vibe code infrastructure(55:54) Why Tony has no personal brand(59:38) Dev tools GTM without Twitter(1:03:20) Lessons from the founder of DuckDuckGo(1:10:39) Truth as a company value(1:13:08) Taking too long adapting to AI(1:15:10) Startups are 100% R&D(1:17:19) Ali from Databricks(1:19:03) Writing his own code, Voice-to-text with local models(1:23:53) Evals are batshit insaneReferencedInngest: https://www.inngest.com/Principles by Ray Dalio: https://www.amazon.com/dp/1501124021?lv=shuf&channelId=500&plpRedirect=mhFallbackTraction - How Any Startup Can Achieve Explosive Customer Growth: https://www.amazon.com/dp/1591848369?lv=shuf&channelId=500&plpRedirect=mhFallbackFollow TonyTwitter: https://x.com/itstonyhbLinkedIn: https://www.linkedin.com/in/tonyhb/Follow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Get ready for a wild, unfiltered ride through breaking news, massive political scandals, and life-saving safety facts!

Small teams with smart AI can solve problems no one imagined before. In this episode, I spoke with Zhen Lu, CEO of Runpod, about the rapidly evolving AI landscape and the future of software development. Zhen Lu shared how Runpod is empowering engineers to train AI models tailored to specific business needs, improve efficiency, and reduce waste. We also discussed his founder journey, the power of co-founder alignment, global innovation outside traditional tech hubs, and the importance of human accountability in AI-driven organizations. Here are the highlights: ● Runpod builds AI developer infrastructure. The platform supports tailored AI workloads, enabling businesses to efficiently train models specific to their needs. ● AI is changing how software is built. Engineers are challenged to rethink software design, not just accelerate existing processes, creating new opportunities for innovation. ● Efficiency and sustainability matter. Fine-tuning smaller, focused models reduces resource waste, energy consumption, and operational costs compared to massive off-the-shelf models. ● Co-founder alignment drives success. Implicit trust, complementary skills, and low ego between Zhen and his co-founder have accelerated decision-making and execution. ● Global networks and bootstrapping foster innovation. Scarcity encourages creativity, and building strong relationships outside Silicon Valley has enabled Runpod to grow and support AI developers worldwide. About the guest: Zhen Lu and co-founder Pardeep Singh started by running crypto mining rigs out of their New Jersey basements. When Ethereum's "The Merge" threatened to make that obsolete, they pivoted, converting the rigs into AI servers. As corporate developers at Comcast building ML projects, they saw firsthand that the GPU developer experience was, in Zhen's words, "just hot garbage." That insight became Runpod. Launched in early 2022, Runpod offers fast, developer-friendly GPU infrastructure: clean APIs, CLI tools, serverless options, and easy configuration. Rather than the traditional VC route, they debuted on Reddit with "Hey Reddit, give us your worst" — and got "please take my money" in return. They went on to earn validation from Hugging Face co-founder Julien Chaumond and a seed round led by Dell Technologies Capital, hitting $120M ARR, 10 billion serverless requests, and serves ~900,000 developers across 31 global regions. Connect with Zhen Lu: LinkedIn: https://www.linkedin.com/in/zeen/ Website: https://www.runpod.io/ Connect with Allison: Feedspot has named Disruptive CEO Nation as one of the Top 25 CEO Podcasts on the web. LinkedIn: https://www.linkedin.com/in/allisonsummerschicago/ Website: https://www.disruptiveceonation.com/ #CEO #leadership #startup #founder #business #businesspodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Small teams with smart AI can solve problems no one imagined before. In this episode, I spoke with Zhen Lu, CEO of Runpod, about the rapidly evolving AI landscape and the future of software development. Zhen Lu shared how Runpod is empowering engineers to train AI models tailored to specific business needs, improve efficiency, and reduce waste. We also discussed his founder journey, the power of co-founder alignment, global innovation outside traditional tech hubs, and the importance of human accountability in AI-driven organizations. Here are the highlights: ● Runpod builds AI developer infrastructure. The platform supports tailored AI workloads, enabling businesses to efficiently train models specific to their needs. ● AI is changing how software is built. Engineers are challenged to rethink software design, not just accelerate existing processes, creating new opportunities for innovation. ● Efficiency and sustainability matter. Fine-tuning smaller, focused models reduces resource waste, energy consumption, and operational costs compared to massive off-the-shelf models. ● Co-founder alignment drives success. Implicit trust, complementary skills, and low ego between Zhen and his co-founder have accelerated decision-making and execution. ●     Global networks and bootstrapping foster innovation. Scarcity encourages creativity, and building strong relationships outside Silicon Valley has enabled Runpod to grow and support AI developers worldwide.   About the guest: Zhen Lu and co-founder Pardeep Singh started by running crypto mining rigs out of their New Jersey basements. When Ethereum's "The Merge" threatened to make that obsolete, they pivoted,  converting the rigs into AI servers. As corporate developers at Comcast building ML projects, they saw firsthand that the GPU developer experience was, in Zhen's words, "just hot garbage." That insight became Runpod.   Launched in early 2022, Runpod offers fast, developer-friendly GPU infrastructure: clean APIs, CLI tools, serverless options, and easy configuration. Rather than the traditional VC route, they debuted on Reddit with "Hey Reddit, give us your worst" — and got "please take my money" in return. They went on to earn validation from Hugging Face co-founder Julien Chaumond and a seed round led by Dell Technologies Capital, hitting $120M ARR, 10 billion serverless requests, and serves ~900,000 developers across 31 global regions.   Connect with Zhen Lu: LinkedIn: https://www.linkedin.com/in/zeen/ Website: https://www.runpod.io/ Connect with Allison: Feedspot has named Disruptive CEO Nation as one of the Top 25 CEO Podcasts on the web. LinkedIn: https://www.linkedin.com/in/allisonsummerschicago/ Website: https://www.disruptiveceonation.com/    #CEO #leadership #startup #founder #business #businesspodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

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Gossip Harbor is now the fourth-highest-grossing game on the planet — behind only Royal Match, Honor of Kings, and Whiteout Survival. The merge category the crew has been covering for years is bigger and more stable than ever, and Century Games just showed exactly how you stack another winner on top of your portfolio.We break down Hotel Legacy by Century Games (of Tasty Travels fame), using it as a lens on the whole merge category. They recap the state of merge (Gossip Harbor at ~$95M/month and still climbing, Tasty Travels, Travel Town, Flambe, Seaside Escape), walk Hotel Legacy's board and its standard-but-polished feature set (three LiveOps systems, bubble offers, generators, the min-max storing loop), and dig into the genuinely puzzling part: the winning My Perfect Hotel / Last Asylum creative concept that's driving installs isn't actually in the game yet. The lesson: you stack merge games by shipping essentially the same game with a new theme, then testing creatives at scale until you find what to build next.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⏱️ TIMESTAMPS00:00 The state of merge — Gossip Harbor is #4 globally05:00 The revenue picture — $95M/month and climbing06:46 Hotel Legacy enters at #15 — 50K/day, all tier-one09:00 The "six merge games" player behavior theory10:06 Walking the board — LiveOps, bubble offers, min-maxing17:00 The mystery — the winning creative isn't in the game17:42 The creatives — My Perfect Hotel, Last Asylum, 500 in 30 days27:16 How to stack a merge game on your portfolioThis episode is brought to you by Kinoa — the AI operating system for mobile game operations: flows, live segments, in-app messages, push notifications, and A/B testing in one place, run by the operators who own the numbers. Carry1st saw +43% ARPDAU; PlayStudios saw +31% revenue on Tetris Block Party. Learn more at Kinoa.http://www.kinoa.ai?utm_source=MatejPodcast&utm_medium=Link&utm_campaign=Matej+Podcast&utm_id=100--------------------------------------PVX Partners offers non-dilutive funding for game developers.Go to: https://pvxpartners.com/They can help you access the most effective form of growth capital once you have the metrics to back it.- Scale fast- Keep your shares- Drawdown only as needed- Have PvX take downside risk alongside you+ Work with a team entirely made up of ex-gaming operators and investors---------------------------------------For an ever-growing number of game developers, this means that now is the perfect time to invest in monetizing direct-to-consumer at scale.Our sponsor FastSpring:Has delivered D2C at scale for over 20 yearsThey power top mobile publishers around the worldLaunch a new webstore, replace an existing D2C vendor, or add a redundant D2C vendor at fastspring.gg.---------------------------------------This is no BS gaming podcast 2.5 gamers session. Sharing actionable insights, dropping knowledge from our day-to-day User Acquisition, Game Design, and Ad monetization jobs. We are definitely not discussing the latest industry news, but having so much fun! Let's not forget this is a 4 a.m. conference discussion vibe, so let's not take it too seriously.Panelists: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jakub Remia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠r,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Felix Braberg, Matej Lancaric⁠Join our slack channel here: https://join.slack.com/t/two-and-half-gamers/shared_invite/zt-3bckldvr8-8PXvzciMWdheOzED9hq0SA---------------------------------------Matej LancaricUser Acquisition & Creatives Consultant⁠https://lancaric.meFelix BrabergAd monetization consultant⁠https://www.felixbraberg.comJakub RemiarGame design consultant⁠https://www.linkedin.com/in/jakubremiar---------------------------------------Please share the podcast with your industry friends, dogs & cats. Especially cats! They love it!Hit the Subscribe button on YouTube, Spotify, and Apple!Please share feedback and comments - matej@lancaric.me

Messages from Merge Community Church in Azle, Tx.

Peter Rahal is the Founder and CEO of David. Before David, he built RXBAR in his parents' basement with $10k and sold it to Kellogg for $600M.We get into why he basically rebuilt the same company again, how buying his own ingredient supplier made a food business venture-backable, why RXBAR's paleo positioning was a trap, the EPG fat technology behind David, how GLP-1's have changed diet trends forever, selling cans of fish as a marketing weapon, the lawsuit that got him 120M impressions in a week, and why he studies fashion houses instead of food companies.Thank you to Numeral, Flex, Amplitude, and Merge for supporting this episode.Numeral: Sales tax on autopilot https://www.numeral.comFlex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapitalAmplitude: AI analytics https://www.amplitude.comMerge: Every model, one API https://www.merge.dev/turnerTimestamps:(0:00) David: Tools to increase muscle, decrease fat(2:24) Making nutrition evidence-based, not ideological(4:27) $300M revenue in year two(5:19) Why he rebuilt the same company again(7:12) Do what you're already good at(9:57) In food, the only edge is brand(12:13) The RXBAR playbook and $600M exit(14:20) RXBAR's original positioning was too fragile(15:25) Designing David from first principles(18:22) Why people don't eat protein bars(19:33) Building a multi-brand company that lasts(25:44) How EPG made David venture-backable(29:44) The Medici name and structure(31:38) Food entrepreneurs are Luddites(33:37) Why Big Food can't innovate(38:21) Beverage is a better business than food(40:34) Deciding which products to launch(43:21) GLP-1's ended diet trends forever(48:09) Looking good is the new status symbol(51:30) Sleep first, exercise second, nutrition third(54:35) Brand is just a unique human being(59:05) Humor travels(1:01:09) Marketing is finding mispriced attention(1:06:35) When to bail on a marketing trend(1:09:05) What makes a good meme(1:10:00) Why David sold cans of fish(1:13:30) How to navigate a lawsuit(1:17:02) 120M impressions from a lawsuit(1:18:52) Lessons from Bezos and Brad Jacobs(1:23:30) Why the best brands are fashion and beauty(1:25:00) Women set cultureReferencedDavid: https://davidprotein.com/EPG / Epogee: https://epogee.com/Whoop: https://www.whoop.com/Oura: https://ouraring.com/Fort: https://fort.cx/David Rumors TikTok: https://www.tiktok.com/@davidprotein/video/7616855415875210510Founders Podcast: https://www.founderspodcast.com/How to Make a Few Billion Dollars by Brad Jacobs: https://www.amazon.com/How-Make-Few-Billion-Dollars/dp/B0CHTQP25TFollow PeterTwitter: https://x.com/PeterRahalLinkedIn: https://www.linkedin.com/in/peter-rahal-037bba43Follow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Ce vendredi 10 juillet, le nouveau visage de l'opposition en Israël incarné par Gadi Eisenkot et la menace sérieuse qu'il pose à la réélection de Benyamin Netanyahou ont été abordés par Annalisa Cappellini dans sa chronique, dans l'émission Good Morning Business, présentée par Laure Closier, sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ya'll wanted a Merge eh? Willam is joined by guest co-host Laganja Estranja this week as the Semi Finals of the Tournament of All Stars kicks off. Ru challenges the queens to give good story on the main stage before showing off their Red Carpet Couture for the judges. Willam and Laganja discuss the value of a soundboard, why some topics don't translate, and Michelle's bald head. Oh and also…How Did You Get Here? Nobody's Supposed to Be Here!Listen to Race Chaser Ad-Free on MOM PlusFollow us on IG at @racechaserpod and click the link in bio for a list of organizations you can donate to in support of Black Lives MatterFOLLOW ALASKAhttps://twitter.com/Alaska5000https://www.instagram.com/theonlyalaska5000https://www.facebook.com/AlaskaThunderhttps://www.youtube.com/channel/UC9vnKqhNky1BcWqXbDs0NAQFOLLOW WILLAMhttps://twitter.com/willamhttps://www.instagram.com/willamhttps://www.facebook.com/willamhttps://www.youtube.com/channel/UCrO9hj5VqGJufBlVJy-8D1gRACE CHASER IS A FOREVER DOG AND MOGULS OF MEDIA (MOM) PODCASTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI's all-you-can-eat era is ending.

Este Nibiru al doilea Beach Please? Selly vorbește la Mihai Morar despre cel mai mare pariu al litoralului nostru. Unul dintre primii creatori de conținut online din România – Andrei Șelaru – Selly, cum îl cunoaște lumea, marchează azi 10 ani de la apariția sa online. De la canalul de YouTube al puștiului care intra la liceu, la omul care a construit o nouă stațiune pe litoralul românesc! Selly vorbește astăzi despre Nibiru, dar și despre prima sa experiență în Costinești: Beach Please. O ideea care a plecat de la ‚3 seri de concerte pe plajă' și a ajuns cel mai mare festival de hiphop din Europa! Mihai Morar îl aduce pe omul care a fost acuzat că promovează drogurile și masculinitatea toxică la un festival unde nu vrei să ajungă copiii tăi. Care e realitatea și ce răspunde Selly?Află la Fain si Simplu, cu Mihai Morar.

This month, unless Donald Trump stops it, our treasonous Congress is likely to merge the US military with Israel's genocidal armed forces. Dennis Kucinich on the end of American sovereignty. (00:00) The Attempt to Merge the US Military With the IDF (06:08) The Subversion of Congress (26:00) Who Is Pushing This Bill? (44:33) How Can America Remain Independent? (50:00) Will Democrats Vote Against This Bill? Dennis Kucinich was Mayor of Cleveland, an eight-term U.S. Congressman, Democratic presidential candidate in 2004 and 2008, and currently authors The Kucinich Report on Substack: https://kucinichreport.substack.com/ Paid partnerships: American Financing: NMLS 182334, http://nmlsconsumeraccess.org. APR for rates in the 5s start at 6.327% for well qualified borrowers. Call 800-685-5696 for details about credit costs and terms. Visit http://AmericanFinancing.net/Tucker. Brooklyn Bedding: Get 30% off sitewide with promo code TUCKER at https://brooklynbedding.com Black Rifle Coffee: Use promo code "Tucker" for 30% off at https://blackriflecoffee.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Linktree: ⁠https://linktr.ee/Analytic⁠Join The Normandy For Ad-Free NME, Additional Bonus Audio And Visual Content For All Things Nme+! Join Here:⁠ ⁠⁠https://ow.ly/msoH50WCu0K⁠In this segment of Notorious Mass Effect, analytic dreamz delivers a concise breakdown of Gossip Harbor: Merge & Story, one of the highest-grossing merge games of all time from Microfun Limited.Launched in July 2022, Gossip Harbor blends addictive Merge-2 mechanics, soap-opera storytelling, and restaurant restoration on Brimwave Island. Follow single mother Quinn Castillo as she rebuilds her father's restaurant amid romance, betrayal, family drama, mystery, and crime-style twists featuring characters like Colton Everett, Olivia Castillo, and more. New chapters drop weekly alongside heavy live-service events, energy systems, customizable decor, and constant limited-time challenges.By 2026, the game surpassed Merge Mansion and Travel Town with over 50 million downloads and staggering revenue—peaking at $62 million monthly and generating hundreds of millions overall, led by the US and strong Asian markets. analytic dreamz explores Microfun's aggressive live-ops strategy, female-focused audience (79% women), hybrid monetization, and major criticisms including predatory energy walls, misleading ads, and technical issues.Discover how Gossip Harbor redefined mobile merge success through narrative hooks and relentless events in this in-depth analysis. Privacy & Opt-Out: https://redcircle.com/privacy

Episode 5 of Secretly Weekly - a bi-weekly podcast show highlighting the most recent tracks released in the Secretly ecosystem. Everything from Secretly Group, All Flowers Group, Merge and Numero Group. A radio show delivered to your podcast feed, once every two weeks; hosted by WFHB's Music Director, Abby Noroozi. Track listing Phoebe Bridgers - Lost Boys Lusine - Pendulum Bullion - Francis Ford  Early Day Miners - Placer Found Superchunk - I Don't Want You Anyway Dinosaur Jr. - Several Got Away  Scowl - Not Hell Not Heaven David Vandervelde - Nothin' No Jens Lekman - Still In Love With You Credit music provided by Richard Swift.

Hans Swildens started Industry Ventures in 2000, and this is his first podcast since selling it to Goldman Sachs in 2026.Hans has been buying venture secondaries longer than almost anyone, and the combined business is one of the largest VC portfolios in the world: 525 firms, 1,600 funds, and over $22B in capital commitments.We get into why he sold to Goldman, the barbell market quietly killing middle-stage venture, how VC's are manufacturing their own exits, why most seed funds without a real angle have 5 years left, the LP base that's a completely different species every fund cycle, how he started Industry by acquiring funds at 99% discounts during the Dot Com Collapse, the day he passed on a multi-billion-dollar data center, and why the secondary market may eventually be multiples the size of the primary market.Thank you to Zach Coelius, Will Quist, Emily Zheng, and Andrea McGee for help brainstorming topics for the conversation.Thank you to Numeral, Flex, Amplitude, and Merge for supporting this episode.Numeral: The end-to-end platform for sales tax and compliance https://www.numeral.comFlex: Get premium banking and a net 60 day credit card at 0% APR https://home.flex.one/referral/bananacapitalAmplitude: AI analytics, all you have to do is ask https://www.amplitude.comMerge: Every model. One API. Total control. Check out Merge's Agent Handler. merge.dev/turnerTimestamps:(0:00) Inside Goldman's $22B venture bet(7:57) 1,600 funds over 525 firms(11:11) Why scale lets you “see the cube”(14:17) Most humbling lesson in 26 years(16:19) Three types of Seed funds(18:47) LP's evolve every fund cycle(22:00) VC is a sales game(24:38) A strong CRM is non-negotiable(29:06) Buying secondaries during the Dot Com Collapse(31:33) Triangulating opinions across GP's, founders, and LP's(37:22) Seed without differentiation doesn't work(42:16) Biggest mistakes by first-time GP's(44:31) Buying Enron's VC portfolio at a 99% discount(50:15) Entrepreneurial finance is underappreciated(52:15) Why asset managers are acquiring venture firms(58:47) Why it's hard to start venture programs(1:03:20) Secondaries: $250M to $150B market in 25 years(1:08:06) Continuation funds & debt structured secondaries(1:12:02) “Secondaries might be multiples bigger than primaries”(1:19:52) How to structure secondary transactions(1:26:00) What happens after SpaceX, OpenAI, Anthropic IPO's(1:30:35) How Seed survives the asset manager era(1:35:16) How to manufacture liquidity(1:41:41) How AI is impacting secondary marketsReferencedIndustry Ventures: https://www.industryventures.com/How Big Is The Secondary Market for Venture Capital?: https://www.industryventures.com/insight/2023-2025e-how-big-is-the-secondary-market-for-venture-capital/Exploring the Growth of Venture Secondaries: https://www.chronograph.pe/exploring-the-growth-of-venture-secondaries/Pitchbook's US Secondaries Market Watch: https://pitchbook.com/news/reports/2025-annual-us-vc-secondary-market-watchFollow HansTwitter: https://x.com/HansSwildensLinkedIn: https://www.linkedin.com/in/hansswildensFollow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Aubry Bracco Postseason Interview Survivor 50's epic journey comes full circle as Rob Cesternino sits down with newly crowned winner Aubry Bracco for a post-finale deep dive into the game’s most pivotal moments and personal growth. In this special post-game interview, Rob and Aubry rewind the clock on a season defined by second chances, high-stakes narrative battles, and her own transformation from the edge of defeat to Sole Survivor. Aubry shares the emotional impact of returning for Survivor 50 after her heartbreak in previous seasons, revealing how therapy and personal work shaped her new approach to both the game and life. She breaks down the stress of being a betting favorite, grappling with narrative warfare from savvy players like Genevieve, and the strategic value of keeping her relationships “in the pocket.” The conversation spotlights her careful idol play—the moment she compared it to a “Scarlet Letter”—and the crucial post-merge tribal where she changed her trajectory by finally burning that idol in front of the tribe. Aubry discusses the infamous “power broker” day, her thoughtful social reads on players like Joe, Coach, and Cirie, and how silent observation became her superpower in the chaotic new era of Survivor. Highlights from Rob and Aubry's conversation include: – Aubry's candid reflections on losing Koh Rong and how that loss prepared her for a winning game – Navigating tribal politics after a rocky start and the moment she learned her bag was searched – Surviving narrative warfare led by Genevieve and leveraging intuition at key turning points – The strategic idol play that changed her threat level and allowed her to fade into the background – Behind-the-scenes insights on alliance-building, pregame rumors, and managing Survivor's emotional toll As Aubry reflects on planting seeds with the jury, making intentional Final Tribal choices, and learning to let go of old anxieties, Rob and Aubry ask: Did Survivor 50 reward holding back and letting others burn bright? How did mastering restraint and emotional perspective break a decade-long curse? Don't miss this winner's interview for an inside look at Survivor 50's most complex game—and how Aubry finally got her victory. Chapters: 0:00 Aubry Bracco crowned Survivor 50 winner 1:45 Overcoming anxiety after Survivor 38 5:52 Therapy transforms Aubry's Survivor mindset 10:55 Navigating slow start and tribe distrust 14:34 Bag search blindsides Aubry early 18:49 Idol paranoia and tribal divides 20:25 Surviving narrative warfare in Survivor 50 23:18 Mastering others' stories to advance 27:35 Blood Moon twist shifts Aubry's position 29:39 Merge chaos and the Scarlet Idol 30:04 Playing the idol resets Aubry's game 32:56 Rick Devens' fake idol and chaos 39:01 Power Broker day changes everything 41:31 Flipping Ozzy and building trust 51:11 Final Tribal Council sparring strategy 55:25 Reading the jury and winning votes 57:48 Grateful for the Survivor 50 experience To order Rob’s book, The Tribe and I Have Spoken, visit www.robhasabook.com Never miss a minute of RHAP's extensive Survivor coverage! LISTEN: Subscribe to the Survivor podcast feed WATCH:  Watch and subscribe to the podcast on YouTube SUPPORT:  Become a RHAP Patron for bonus content, access to Facebook and Discord groups plus more great perks!

Aubry Bracco Postseason Interview Survivor 50's epic journey comes full circle as Rob Cesternino sits down with newly crowned winner Aubry Bracco for a post-finale deep dive into the game’s most pivotal moments and personal growth. In this special post-game interview, Rob and Aubry rewind the clock on a season defined by second chances, high-stakes narrative battles, and her own transformation from the edge of defeat to Sole Survivor. Aubry shares the emotional impact of returning for Survivor 50 after her heartbreak in previous seasons, revealing how therapy and personal work shaped her new approach to both the game and life. She breaks down the stress of being a betting favorite, grappling with narrative warfare from savvy players like Genevieve, and the strategic value of keeping her relationships “in the pocket.” The conversation spotlights her careful idol play—the moment she compared it to a “Scarlet Letter”—and the crucial post-merge tribal where she changed her trajectory by finally burning that idol in front of the tribe. Aubry discusses the infamous “power broker” day, her thoughtful social reads on players like Joe, Coach, and Cirie, and how silent observation became her superpower in the chaotic new era of Survivor. Highlights from Rob and Aubry's conversation include: – Aubry's candid reflections on losing Koh Rong and how that loss prepared her for a winning game – Navigating tribal politics after a rocky start and the moment she learned her bag was searched – Surviving narrative warfare led by Genevieve and leveraging intuition at key turning points – The strategic idol play that changed her threat level and allowed her to fade into the background – Behind-the-scenes insights on alliance-building, pregame rumors, and managing Survivor's emotional toll As Aubry reflects on planting seeds with the jury, making intentional Final Tribal choices, and learning to let go of old anxieties, Rob and Aubry ask: Did Survivor 50 reward holding back and letting others burn bright? How did mastering restraint and emotional perspective break a decade-long curse? Don't miss this winner's interview for an inside look at Survivor 50's most complex game—and how Aubry finally got her victory. Chapters: 0:00 Aubry Bracco crowned Survivor 50 winner 1:45 Overcoming anxiety after Survivor 38 5:52 Therapy transforms Aubry's Survivor mindset 10:55 Navigating slow start and tribe distrust 14:34 Bag search blindsides Aubry early 18:49 Idol paranoia and tribal divides 20:25 Surviving narrative warfare in Survivor 50 23:18 Mastering others' stories to advance 27:35 Blood Moon twist shifts Aubry's position 29:39 Merge chaos and the Scarlet Idol 30:04 Playing the idol resets Aubry's game 32:56 Rick Devens' fake idol and chaos 39:01 Power Broker day changes everything 41:31 Flipping Ozzy and building trust 51:11 Final Tribal Council sparring strategy 55:25 Reading the jury and winning votes 57:48 Grateful for the Survivor 50 experience To order Rob’s book, The Tribe and I Have Spoken, visit www.robhasabook.com Never miss a minute of RHAP's extensive Survivor coverage! LISTEN: Subscribe to the Survivor podcast feed WATCH:  Watch and subscribe to the podcast on YouTube SUPPORT:  Become a RHAP Patron for bonus content, access to Facebook and Discord groups plus more great perks!

Greg Brockman is the president and co-founder of OpenAI. Brockman joins Big Technology Podcast live from the Big Technology AI Summit to discuss OpenAI's trajectory, the state of the frontier, and why he believes compute will ultimately decide the AI race. Tune in to hear Brockman make the case that there will never be enough compute to satisfy demand, why he thinks the interface itself will eventually melt away into a persistent agent that acts on your behalf, and how he expects pricing to evolve as today's premium intelligence becomes tomorrow's commodity. We also cover the competitive dynamic with Microsoft and the "models are a commodity" argument, the path to a personal AGI, voice as an interface, and why Brockman is most excited about AI's potential in health. Hit play for a wide-ranging conversation about where OpenAI and the frontier go next. Watch the full documentary here: Watch the full documentary here: https://www.gravitee.io/ai-agent-documentary Learn more about your ad choices. Visit megaphone.fm/adchoices

PLUS: New Names. Pajamas? A Rock & Roller Breathes.

Charles Hudson started Precursor Ventures in 2015, and helped create pre-seed as a category.Ten years and hundreds of Day 0 checks later, few investors have backed as many first-time founders, making him the perfect person to talk through the state of the category today.We talk about why this is the hardest moment for pre-seed/seed investing he can remember, why sitting out of bubbles can be more dangerous than joining, how he hands his junior team real money to make their own bets, and urgency and “the last $250k effect”.Thank you to Numeral, Flex, Amplitude, and Merge for supporting this episode.Numeral: The end-to-end platform for sales tax and compliance https://www.numeral.comFlex: Get premium banking and a net 60 day credit card at 0% APY https://home.flex.one/referral/bananacapitalAmplitude: AI analytics, all you have to do is ask https://www.amplitude.comMerge: Every modal. One API. Total control. Check out Merge's Agent Handler. merge.dev/turnerTimestamps:(0:00) Is Pre-Seed dead?(4:15) Do round names matter anymore?(12:27) Multi-stage signaling risk doesn't exist(16:42) Smart LP's love multi-stage funds(22:03) Is the traditional Seed model broken?(26:31) Velocity of capital deployment drives all incentives(30:30) How to compete with megafunds at early stage(34:24) Megafunds have Seed funds in a vice-grip(38:34) “The best Series A's are all expensive"(39:33) Are we doing 2021 all over again?(41:53) It's safer to participate in bubbles than sit out(47:35) Price you pay is everything(50:22) The system incentivizes an addiction to consensus(55:22) High valuation + high CapEx grows AUM(59:56) How Precursor actually invests today(1:01:32) Precursor's Principal investor program(1:05:56) Deciding when to selling your winners(1:10:53) Raising as a pre-consensus founder(1:12:39) What Charles looks for in founders(1:17:20) What it's actually like to start a fund(1:20:56) Misconceptions of first-time fund managers(1:26:22) 300+ LP meetings to raise Precursor Fund 1(1:29:24) The single tweak to his pitch that raised the fund(1:31:54) Precursor's evolution over time(1:34:57) The second desert of venture capital(1:37:34) The last $250k effectReferencedPrecursor: https://precursorvc.com/a16z's State of Markets report https://x.com/TurnerNovak/status/2015830796393742599?s=20Follow CharlesTwitter: https://x.com/chudsonLinkedIn: https://www.linkedin.com/in/chudsonCharles Substack: https://chudson.substack.com/Follow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Jared and Steven swear it isn't poop.Link to Yodeling in Meadow Hill: https://www.youtube.com/watch?v=NdXeB_8OT6g&list=RDNdXeB_8OT6g&start_radio=1

KBThaBandhead, is back at it again with a new episode recapping the 2026 Georgia Mass Band "Merge" Performance. This year marks 10 years of GAMB's existence in the Summer Band space, and the future is brighter than ever. In this podcast, he gives his honest reaction and opinion on song selections, execution, and overall performance Make sure you SUBSCRIBE for more Podcasts!   Website: https://www.bskillzentertainment.com/ Watch my REACTIONS on YouTube: https://www.youtube.com/c/kbthabandhead Instagram: https://www.instagram.com/kbthabandhead/ TikTok: https://www.tiktok.com/@kbthabandhead?lang=en Merch: https://kbthabandhead.myspreadshop.com/

Hah! I'm laughing at myself. I clicked the wrong button and messed up the recording. Instead of deleting everything I kept going. I did a quick search and found a free easy to use file merging service. I'm operating with a simple Chromebook. Anyway, enjoy the randomness. Also, I didn't   

Episode 4 of Secretly Weekly - a bi-weekly podcast show highlighting the most recent tracks released in the Secretly ecosystem. Everything from Secretly Group, All Flowers Group, Merge and Numero Group. A radio show delivered to your podcast feed, once every two weeks; hosted by WFHB's Music Director, Abby Noroozi.     Track listing 1. Baby Rose - Let Me Go 2. Elujay - Wushua 3. Danielle Ponder - Power 4. Bon Iver - Heavenly Father 5. HTRK - Eat Yr Heart 6. Jordan Patterson - Cinderella 7. Fruit Bats - Perhaps We're a Storm 8. Way Dynamic - Miffed It 9. Wednesday - Reality TV Argument Bleeds 10. Mitski - Your Best American Girl   Credit music by Richard Swift.

Gossip Harbor is beating Candy Crush, Merge Mansion is going to Supercell, and the Merge genre is at an inflection point.In this episode of Puzzle Monthly, we break down the real state of Merge games in 2026, from the history of the genre to why Gossip Harbor succeeded where others failed, and what the next Merge hit might look like.Topics Covered:● The history of Merge — from Tripletown to Merge Dragons to Merge 2● Merge 2 vs Merge 3: how the economies actually differ● Why Gossip Harbor surpassed Candy Crush while Merge Mansion collapsed● The no-fail-state problem and how live ops try to solve it● Board clutter, storage frustration, and persistent board design● Sensor Tower data: Travel Town vs Gossip Harbor vs Merge Mansion● Hard order labeling and whether Match 3 lessons apply to Merge● What the next Merge game should look likeCHAPTERS:01:07 Merge Takes Center Stage02:07 Origins of Merge Games02:38 Merge Two vs Three03:48 Core Loop Explained06:03 Merge Mansion vs Gossip Harbor07:54 Live Ops Without Fail States09:40 Why Merge Feels Boring11:51 Progress and Board Order15:45 Dog Quest and Board Clutter17:45 Persistent Boards and Storage19:24 Monetization Paradox20:11 What's Next for Merge21:28 Soap Opera and Generator Ideas22:12 Persistence Makes UX Hard22:48 Persistent Boards Shift23:32 Making Merge Feel Dynamic24:28 Separate Boards Live Ops25:06 Lucky Catch Event Design26:02 Battle Pass Segmentation26:38 Why Gossip Harbor Won28:17 Merge Engine Under Hood36:24 Next Genre Innovations39:00 Cannibalization By Sequels40:53 Hard Labeling For Orders43:13 Generator Overcharge Ideas44:04 Future Focus Areas44:48 Wrap Up And Farewell

NDAA Shocker Congress Seeks To Merge US_Israeli Militaries! by Ron Paul Liberty Report