Podcasts about Docs

Joint pain doesn't have to slow you down. On this episode of Docs in a Pod, hosts Carmenn Miles and Dr. Brooke Mobley welcome Dr. Shelby Valero from WellMed at Division for an engaging discussion about osteoarthritis management. Learn what causes osteoarthritis, how it's diagnosed, and the latest approaches to treatment and symptom relief. Tune in for expert advice and practical tips to help you move with confidence.   Docs in a Pod focuses on health issues affecting adults. Clinicians and other health partners discuss stories, topics and tips to help you live healthier. Docs in a Pod airs on Saturdays in the following cities:  7:00 to 7:30 am CT:  San Antonio (930 AM The Answer)  DFW (660 AM, 92.9 FM [Dallas], 95.5 FM [Arlington], 99.9 FM [Fort Worth])  6:30 to 7:00 pm CT:  Austin (KLBJ 590 AM/99.7 FM)  Docs in a Pod also airs on Sundays in the following cities:  1:00-1:30 pm ET:  Tampa (860 AM/93.7FM)   

Google didn't ship its big model, but they shipped a TON of new useful AI you can use today. And Google wasn't the only company updating their features behind the scenes. Replit is bringin vibe designing, ChatGPT got a lot more useful on the web, and Meta is changing from chatbot to agent. We'll get you caught up quickly. Chrome adds Some Gemini Spark, Replit Design makes impact, Buzz brings AI Agent Teamwork and 7 more AI Features you Should use Today -- an Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Replit Design Suite Launches With Free MobbinChatGPT Chrome Extension Adds YouTube SummarizationChatGPT Side Chat Integrates Tabs and Highlighted TextMeta AI Rolls Out Recurring Agent TasksGoogle Gemini Generates Images in Google DocsGemini AI Summarizes Comments, Edits in DocsGoogle Gemini Spark Agent Arrives in ChromeChrome Agent Uses Saved Accounts and PasswordsGoogle Lyria 3.5 Music Model ReleasedBuzz by Block Unites Team and Agent CollaborationTimestamps:00:00 Recent AI updates and developments05:01 Creating with Replit and AI models09:42 Real-time research tracking benefits10:34 Meta AI new recurring features13:35 New features of Meta AI17:53 Google Spark integrates with Chrome22:09 Google DeepMind's new music model25:25 Buzz from Block messaging tool29:42 Building a collaborative platform31:23 AI feature updates recapKeywords: Gemini Spark, Google Chrome AI integration, Google Docs AI features, AI image generation, Gemini in Docs, ChatGPT Chrome extension, YouTube video summarization, OpenAI ChatGPT update, Codex, Vibe design, Replit design suite, Mobbin integration, AI reference library, Design export automation, Project management AI, Figma competitor, Replit creative tools, Meta AI, Muse Spark 1.1, Agentic model, Recurring AI tasks, AI scheduling, Daily briefings, AI productivity tools, Google Lyria 3.5, AI music model, Flow Music, Suno, Yudio, AI generated lyrics, Vocal delivery in AI music, Licensing in AI music, Buzz collaboration platform, Block, Square, AI agent teamwork, Slack-like AI platform, Open source collaboration, Agent governance, Cryptographic identity, Agentic browser, Automated web errands, Chrome passwords integration, Google Drive data access, Multi-agent collaboration, Research automation, Enterprise AI workflow, AI productivity boost.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Newly filed federal court documents and internal Homeland Security text messages reveal that a high-profile immigration raid near California Governor Gavin Newsom's press conference was explicitly termed a political stunt by agents on the ground. In this episode of the Rational Boomer Podcast, we examine how these revelations undermine claims of routine public safety enforcement and fuel growing accusations of weaponized federal agencies.

Brian Volk Weiss of The Nacelle Company discusses his seminal Netflix series The Toys That Made us, now in the midst of a Kickstarter Campain for a 2 volume book set The Art Of The Toys That Made Us. Brian also tells us what to expect in seasons 3 and four of the series, coming soon. We talks abot that and his other great series Icons Unearthed and teases new series of those.He also holds the rights to a bunch of favorite IPs from the 80s like Robo Force and Biker Mice From Mars, being printed by ONI press, and details new anumated series in the works. 

Although the best-known wines of Piemonte are in the south — in Alba, Roero, Cuneo, and Asti – there is a treasure trove of excellent Nebbiolo and Nebbiolo blends northeast of the famed Barolo and Barbaresco in the Langhe. These are small DOCGs and DOCs in the foothills of the Italian Alps that are collectively called Alto Piemonte  – "higher (or upper) Piemonte."   Greatly reduced in status and size, Alto Piemonte today is a collection of small appellations across the foothills of the Alps, in and around the Sesia River and a swath of forests. The region sits in the shadow of Monte Rosa, which at 4,634 meters/15200 ft is the second-highest peak in the Alps.   Map: Alto Piemonte. Credit: Skurnik Wines   Because of the cooling breezes and lower nighttime temperatures, Alto Piemonte is cooler than the Langhe and Roero. That means that some Nebbiolo producers are starting to look northeast for new frontiers for growing grapes. Changes are afoot, which make this region worth knowing about now, whereas before it was more of a novelty! In this show I cover it all.     Full show notes and all back episodes are on Patreon. Join the community today! www.patreon.com/winefornormalpeople _______________________________________________________________ CHECK OUT MY NEW SPONSOR!!!  This show is brought to you by my NEW exclusive sponsor, Grapes the Wine Company – an actual brick and mortar store located in White Plains, New York that has been recognized by the Wall Street Journal as one of the most influential wine retailers in America. It is a store owned by my friend Daniel Posner, who has been on the show! When I was looking for a new sponsor, I wanted a small retailer who had the flexibility, contacts,  and know-how to get us the wines that we really want. I'm so thrilled that Daniel is now a part of our Wine For Normal People community and I hope you will support him by going to https://www.grapesthewineco.com/   

'Doe je hetzelfde werk? Ja. Verdien je hetzelfde? Nee. Gaan we door.' KLM-stewardess en purser Gerry Bouma ontdekt in de jaren '80 van de vorige eeuw dat ze fors minder verdient dan haar mannelijke collega's die hetzelfde werk doen. Ze sleept haar werkgever voor de rechter en samen met de feministische advocate Gabi van Driem vecht ze vijf jaar lang voor gelijke beloning. Ze krijgt te maken met intimidatie vanuit de KLM, weerstand van collega's en rechters die nog nauwelijks raad weten met dit soort zaken. De zaak verandert niet alleen haar eigen leven, maar versterkt ook de rechtspositie van álle vrouwen in Nederland in de strijd om gelijk loon. Een documentaire van Lisa Lotens. Eindmix: Alfred Koster. Productie: Marjolein Klooster. Eindredactie: Remy van den Brand.  DOCS is de documentaire podcast van de publieke omroep onder eindredactie van NTR en VPRO. Presentatie: Mina Etemad. Meer informatie: 2doc.nl/docs en docs@ntr.nl 

'Doe je hetzelfde werk? Ja. Verdien je hetzelfde? Nee. Gaan we door.' KLM-stewardess en purser Gerry Bouma ontdekt in de jaren '80 van de vorige eeuw dat ze fors minder verdient dan haar mannelijke collega's die hetzelfde werk doen. Ze sleept haar werkgever voor de rechter en samen met de feministische advocate Gabi van Driem vecht ze vijf jaar lang voor gelijke beloning. Ze krijgt te maken met intimidatie vanuit de KLM, weerstand van collega's en rechters die nog nauwelijks raad weten met dit soort zaken. De zaak verandert niet alleen haar eigen leven, maar versterkt ook de rechtspositie van álle vrouwen in Nederland in de strijd om gelijk loon. Een documentaire van Lisa Lotens. Eindmix: Alfred Koster. Productie: Marjolein Klooster. Eindredactie: Remy van den Brand.  DOCS is de documentaire podcast van de publieke omroep onder eindredactie van NTR en VPRO. Presentatie: Mina Etemad. Meer informatie: 2doc.nl/docs en docs@ntr.nl 

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

We're joined by critic and programmer Genevieve Yue to discuss the upcoming workshop, Wiseman's New York, put on by Union Docs, which Arlin and Shawn will be participating in.Come see us during the opening panel or during the seminar on Welfare (1975). Find out more about this very unique program happening in September: https://uniondocs.org/wisemans-new-york/

Eoin Sheahan and Tommy Rooney hosted a sold out show in the Hogan Suite at Croke Park on Thursday night, the definitive All Ireland final preview night ahead of Sunday's clash between Kerry and Mayo!They were joined on stage by the other two thirds of The Football Pod, Dublin legend Paddy Andrews and Kerry legend James O'Donoghue, before special guest Kieran ‘Geezer' McGeeney took to the stage!Timestamps:(06:30) - Paddy Andrews and James O'Donoghue begins(22.30) - Kieran McGeeney begins Behind every county are those who lift us all — AIB, proud sponsor of the GAA All-Ireland Senior Football Championship

Joyce discusses: the seeming endless threats to President Trump and elected officials in general. Jim Jordan ordering a congressional investigation into Special Counsel Jack Smith. An update on the potential Saudi Arabian-US nuclear power deal. And Rand Paul releasing Covid documents that are proving the experts lies to us.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Episode Summary      On January 18, 2018, in Helmand Province, Afghanistan, Green Beret combat medic Luke Sciulli stopped being the medic and became the patient. A booby-trapped building collapsed on him during a personnel-recovery operation, fracturing his C4, C5, and C6 vertebrae, both scapulas, and his pelvis, and leaving him with a spinal cord injury at C5. In this episode of WarDocs, SFC(R) Luke Sciulli walks through that day and the MEDEVAC chain that followed — forward surgical team, Kandahar, Landstuhl, and Walter Reed — and explains how living through the system he once operated permanently reshaped his view of casualty care, pain management, and patient advocacy.   SFC(R) Sciulli is candid about the recovery that nearly broke him. He describes the culture shock of moving from elite combat operations to a 30-bed spinal cord injury ward populated largely by elderly veterans, and the slow, deliberate realization that, in his words, the only person who was going to make his life better was him. He maps the framework that pulled him back — physical health, mental health, and career — and offers a direct message to wounded operators who cannot get out of bed: the discipline that earned the Beret, the Tab, or the Trident is still inside them.   The conversation then widens into the operational and strategic challenges Sciulli has tackled across an extraordinary career. He compares civilian and military trauma systems and argues that surgeons in major American cities now see more penetrating trauma than many military providers — making military-civilian partnerships essential to keeping skills sharp. He recounts building a joint, combined MEDEVAC architecture across five African nations, and embedding at forward surgical teams in Ukraine just kilometers from the front, where 60 to 90 casualties a day exposed gaps in Role 1 and Role 2 doctrine, risk tolerance, and interoperability that U.S. tabletop exercises rarely surface.   SFC(R) Sciulli also draws on his time supervising a 216-bed field hospital at Columbia University during the 2020 COVID surge and his current work with Vigilant Consulting and Valinor Enterprises advising on tactical medical technology. He makes the case for predictive analytics, wearables, and automated resuscitation systems to force-multiply providers in large-scale combat operations — while confronting the risk-acceptance and accountability questions that slow adoption. He closes with the cause he intends to define his legacy: fixing the negligent disconnect that leaves SOF medics and operators underutilized in the civilian, defense, and healthcare worlds, and expanding the transition programs that turn their hard-won skills into lives saved at home. Chapters (00:00-01:10) Cold Open and Introduction (01:10-05:30) Becoming the Casualty in Helmand Province (05:30-11:30) The Recovery That Rewired Everything (11:30-15:45) Civilian and Military Medicine, Two Ways (15:45-22:45) Distance, Mass Casualties, and Lessons from Ukraine (22:45-32:30) Field Hospitals, Tactical Technology, and Risk (32:30-36:15) Recruiting the Next Force and a SOF Medic Legacy Chapter Summaries (00:00-01:10) Introduction Dr. Soderdahl frames the journey ahead: a Green Beret combat medic who became the patient on the wrong side of an IED blast and now drives technology and policy for the next war. The standard WarDocs welcome sets up a firsthand look at military medicine from the austere edge of combat to the front lines of innovation. (01:10-05:30) Becoming the Casualty in Helmand Province SFC(R) Sciulli recounts volunteering to backfill a buddy's ODA as senior medic and the January 18, 2018 operation in which a booby-trapped building collapsed onto him. He details catastrophic injuries — broken C4-C6, a C5 spinal cord injury, fractured scapulas and pelvis — and the MEDEVAC through the forward surgical team toward higher care, including how his teammates stabilized and moved him. (05:30-11:30) The Recovery That Rewired Everything He describes six months split between Walter Reed and the Tampa VA, the jolt of moving from combat to a spinal cord injury ward, and the loss of career, health, and identity overnight. The turning point came when he accepted that no one else could make his life better, and built a deliberate framework around physical health, mental health, and career. (11:30-15:45) Civilian and Military Medicine, Two Ways Drawing on his paramedic, firefighter, and critical-care flight background plus SF service, Sciulli argues civilian surgeons now out-rep many military providers on penetrating trauma, making military-civilian partnerships essential. He also reflects on serving as senior medical provider for SEAL Teams Two and Eight and why interoperability comes down to people and personality. (15:45-22:45) Distance, Mass Casualties, and Lessons from Ukraine He explains building a joint, combined MEDEVAC system across Chad, Niger, Nigeria, Cameroon, and Libya, then scales the problem to the Indo-Pacific and Eastern Europe. Embedded at forward surgical teams in Ukraine, he saw 60 to 90 casualties a day and learned hard lessons about volume, interoperability, civilian EMS integration, and U.S. risk tolerance. (22:45-32:30) Field Hospitals, Tactical Technology, and Risk SFC(R) Sciulli describes supervising a 216-bed COVID field hospital at Columbia University and why a military-style community made it work. He then identifies penetrating and shrapnel trauma as a top killer and makes the case for wearables, predictive analytics, and automated resuscitation — confronting the risk acceptance and human trust that slow adoption. (32:30-36:15) Recruiting the Next Force and a SOF Medic Legacy Speaking to students, residents, and recruiters, Sciulli reframes the pitch: the military needs people willing to operate beyond their comfort zone and scope, not just another credential. He closes on the legacy he intends to leave — fixing the negligent disconnect that leaves SOF medics and operators underutilized after service. Take Home Messages Experiencing Care Builds the Best Advocates: Living through the casualty evacuation chain as the patient teaches lessons no provider can learn from the other side of the litter. Empathy, pain management, and patient advocacy take on new meaning once a clinician has been the one strapped to the litter. Recovery Is a Decision You Make Daily: The hardest part of catastrophic injury is mental, not physical. Progress comes from a conscious choice to get up and be better than yesterday, supported by resources but driven by personal ownership of physical health, mental health, and career. Keep Military Providers Sharp in Civilian Trauma: Civilian surgeons in major cities now see more penetrating trauma and polytrauma than many military clinicians. An integrated military-civilian system that rotates providers through high-volume civilian centers is essential to keeping wartime skills ready. Plan for Volume, Distance, and Interoperability: Future large-scale combat means moving casualties across oceans and continents while relying on host-nation, partner, and civilian systems. High casualty volumes and contested distance demand generalist skill, civilian EMS integration, and a higher tolerance for operational risk. Close the Gap Between Research and the Warfighter: Government funds enormous amounts of combat casualty research and technology that never reaches frontline providers fast enough. The mission is to translate proven findings and devices into the warfighter's hands tomorrow — not years from now.   Episode Keywords military medicine, combat medicine, Green Beret medic, 18D combat medic, special forces medic, combat casualty care, TCCC, spinal cord injury recovery, polytrauma, Helmand Province, Walter Reed, MEDEVAC, forward surgical team, Ukraine combat medicine, mass casualty, large scale combat operations, LSCO, prolonged field care, tactical medicine, medical device innovation, SOF medic, military civilian partnership, WarDocs, Luke Sciulli, veteran resilience, penetrating trauma   Hashtags #MilitaryMedicine, #CombatMedicine, #GreenBeret, #WarDocs, #CombatCasualtyCare, #SOFMedic, #VeteranResilience, #TacticalMedicine   Honoring the Legacy and Preserving the History of Military Medicine The WarDocs Mission- WarDocs exists to honor the legacy of Military Medicine, preserve its history, and inspire every generation — across all Services, Corps, and Ranks — to serve with excellence and pride. Through mentorship, coaching, and education, we equip those considering, entering, and serving in military medicine with the knowledge, connections, and community they need to thrive. We celebrate Who we are, What we do, and, most importantly, How we serve Our Patients, the DoW, and Our Nation. Find out more and join Team WarDocs at https://www.wardocspodcast.com/ Check our list of previous guest episodes at https://www.wardocspodcast.com/our-guests Subscribe and Like our Videos on our YouTube Channel: https://www.youtube.com/@wardocspodcast Listen to the "What We Are For" Episode 47. https://bit.ly/3r87Afm WarDocs- The Military Medicine Podcast is a Non-Profit, Tax-exempt-501(c)(3) Veteran Run Organization run by volunteers. All donations are tax-deductible and go to honoring and preserving the history, experiences, successes, and lessons learned in Military Medicine. A tax receipt will be sent to you. WARDOCS documents the experiences, contributions, and innovations of all military medicine Services, ranks, and Corps who are affectionately called "Docs" as a sign of respect, trust, and confidence on and off the battlefield, demonstrating dedication to the medical care of fellow comrades in arms. Follow Us on Social Media Twitter: @wardocspodcast Facebook: WarDocs Podcast Instagram: @wardocspodcast LinkedIn: WarDocs-The Military Medicine Podcast YouTube Channel: https://www.youtube.com/@wardocspodcast  

Fresh off President Trump's big election speech, CannCon and Ashe in America bring on a heavy hitter: True the Vote founder Catherine Engelbrecht, one of the original voices in the election integrity world. She revisits the Georgia GBI saga, the Konnech story that sent her from FBI briefings to a stage in the Arizona desert telling a room to stop filming, and a $5 million check that raised more questions than it answered. Then the guys roll up their sleeves for the main event: a page-by-page walk through a newly declassified intelligence report on Venezuela, Smartmatic, Sequoia, and voting machines that could allegedly tell when they were being audited. Expect hash files, virtual machines, a New Jersey voter roll mess, and a running theory that the real playbook was written abroad but run at home. Plus moisturized elbows, honey, and a Voldemort-grade book reference.

Lung health specialists at Sarasota Memorial Health System have discovered a detection program that can catch lung cancer early – at Stage I or Stage II --when patients have the best chance of survival from the disease.

President Trump continues 10 straight days of intense bombardments against Iran with no end in sight, delivering major blows to the regime. In his July 16 national address, he declassifies bombshell documents exposing Chinese theft of 220 million U.S. voter files, election machine vulnerabilities, buried intelligence, and foreign interference risks. Yet Democrats and mainstream media dodge every piece of evidence — smearing Trump instead of debating the facts. We unpack the declassified files, the establishment's evasion playbook, CRT's cultural impact, and Saul Alinsky's Rules for Radicals. A hard-hitting look at war, election integrity, and accountability. Please take a moment to rate and review the show and then share the episode on social media. You can find me on Facebook, X, Instagram, GETTR, TRUTH Social, TikTok, YouTube and Rumble by searching for The Alan Sanders Show. And, consider becoming a sponsor of the show by visiting my Patreon page!

In the third hour of The Tara Show, host Tara Servatius covers a wide spectrum of national intelligence, entertainment, state politics, and judicial immigration policy. She begins by detailing recently declassified intelligence documents concerning Chinese operations to influence American elections, highlighting claims of altered intelligence briefings within federal agencies. Servatius then turns her attention to the entertainment industry, attributing the perceived drop in television quality to Hollywood's diversity policies while critiquing major media consolidation. Her focus shifts back to South Carolina politics as she analyzes recent GOP primary polling for the U.S. Senate seat, questioning the political legacy of the late Lindsey Graham and the prospects of potential successors. Finally, she reports on the Department of Justice's activation of the Alien Terrorist Removal Court to streamline the expedited deportation of foreign nationals deemed security threats.

In this segment, host Tara Servatius examines declassified intelligence documents pointing to Chinese election interference in the United States. She highlights NSA and FBI records detailing Chinese operations to hack election boards, manufacture fraudulent driver's licenses to facilitate mail-in voting, and manipulate presidential intelligence briefings. Servatius specifically criticizes former FBI official Nikki Flores, referencing communications where Flores described running a "shadow government" within the bureau to alter intelligence briefings and suppress information regarding foreign interference and the Hunter Biden laptop. The segment contrasts these findings with mainstream media reporting and features archived audio clips from former national security officials, including John Ratcliffe and Avril Haines, confirming intelligence concerns regarding Chinese influence operations.

The disclosure finally happened, and Jon Herold and Chris Paul spend the first Saturday show since it dropped combing through Tulsi Gabbard's newly declassified election documents. They walk through the actual findings, not just the speech that previewed them, arguing the presentation undersold what's really in the paperwork. Expect a mix of graphics, substack article references, and plenty of receipts as the guys build their case for what these documents actually confirm about the 2020 election. They also dig into the surprise revival of the Alien Terrorist Removal Court, a legal mechanism that's been sitting dormant for decades until now, and touch briefly on the Tate brothers' extradition situation before deciding it's not worth the airtime. Throw in some sponsor chaos (soft disclosure, anyone?) and John Solomon getting called out by name for his recent takes, and it's a packed one covering a lot of freshly unsealed ground.

July 17, 2026 - 6am: Trump's declassified docs show Russia meddled in 2020 against Biden AP: ICE officer in Maine shooting had history of violent behavior Ex-wife identifies ICE agent in fatal Maine shooting Trump made exaggerated claims about election vulnerabilities in his primetime address   To listen to this show and other MS podcasts without ads, sign up for MS NOW Premium on Apple Podcasts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

President Trump's declassified documents lack bombshell on election threats. At least two people have been killed after being swept away in Texas floods.  Epstein survivors met with acting AG Blanche.  According to sources, lettuce at Taco Bell has been  linked the Cyclospora outbreak.  Plus, a podcasting nun goes viral.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Trump's Censored National Address With Commentary & Analysis From Alex Jones On This Historic LIVE Friday Broadcast! Trump Has Declassified Thousands Of Docs That Prove Communist China Has Been Manipulating Elections & Trying To Trigger Civil War

Rob Thomas, director of plant operations, is known affectionately as "Mr. Virtua" at Virtua Voorhees Hospital. Rob is the go-to person when help is needed — and always steps up for special events on his campus like Run With the Docs and the NICU Reunion. Beyond his campus, Rob is committed to service. He's participated in Virtua's turkey distribution events and volunteers with Catholic Charities. In fact, Rob took three trips to New Orleans to support recovery efforts following Hurricane Katrina. Rob's reliability and positive outlook have made him a trusted presence across Virtua.

Limited Spaces for SA Docs by Radio Islam

SEND US A TEXT MESSAGE!!! Let Drs. Nii & Renee know what you think about the show!Nearly 50,000 people watched our co-parenting reel and asked the same question: "Why don't you just get a nanny?"People expected us to have full-time help. We don't. Not because we can't afford it. Because we made a different choice.In this episode, Nii and Renee pull back the curtain on the real systems, the real schedule, and the real financial trade-offs behind running a two-physician household with two boys — without a nanny.You'll hear:→ Why Renee refuses to hire a nanny (4 specific reasons)→ The Sunday Night Meeting — how we plan every week before it starts→ The Primary Parent Rule — the core rule that keeps our household from falling apart→ Our calendar system — how Nii builds his locums schedule around Renee's call→ The Date Night Rule — the one non-negotiable that protects our marriage→ Why our boys know the plan (and why it matters)→ The REAL financial cost of this choice (Forbes data + our honest numbers)→ Our one-income philosophy — if we can't build wealth on one physician income, we're doing it wrong→ What we sacrifice. What we refuse to sacrifice.If you're a first-generation doctor in your family, this is your community.Find us on YouTube: www.youtube.com/@docsoutsidetheboxpodcastResources mentioned in this episode:Locumstory. Learn how locum tenens helps doctors make more and have the lifestyle they deserve!. Check them out HERE!Forbes article - https://www.forbes.com/sites/christinecarter/2025/02/11/motherhoods-price-tag-the-financial-reality-of-working-vs-leaving/ FREE DOWNLOAD: Download the First-Gen Doctor Blueprint — everything we wish someone had told us about finances, career planning, and building a life in medicine. Visit: https://darkos.lpages.co/first-gen-physicians/Have a question for the podcast?Send us a Voice Message: https://www.speakpipe.com/docsoutsidethebox Text us: 833-230-2860DM us on Instagram: @docsoutsidetheboxEmail: team@drniidarko.com ABOUT DOCS OUTSIDE THE BOX:Dr. Nii is a General Surgeon. Dr. Renee is an OB/GYN. We are first-generation Ghanaian and Haitian physicians who paid off $662,000 in student loan debt in 3 years, built a locum tenens agency, and navigated every major medical career decision without a family blueprint.We created this podcast for first-generation doctors — physicians who are the first in their families and lack the inherited knowledge about money, contracts, career strategy, and the unwritten rules of medicine that many of their colleagues learned growing up.Real conversations for first-gen doctors.DISCLAIMER: Dr. Nii and Dr. Renee are physicians, not financial advisors or attorneys. Content shared in this podcast reflects personal experience and should not be considered financial, legal, or medical advice. Please consult qualified professionals before making financial or career decisions.© 2026 Docs Outside the Box. All rights reserved.

Recovering after a hospital stay doesn't end when you go home. In this episode of Docs in Pod, host Carmenn Miles and Dr. Tamika Perry of WellMed at Redbird Square sit down with Dr. Jyothi Rereddy of WellMed at Garland to talk about simple but important steps patients can take to stay healthy and avoid a return trip to the hospital. Docs in a Pod focuses on health issues affecting adults. Clinicians and other health partners discuss stories, topics and tips to help you live healthier. Docs in a Pod airs on Saturdays in the following cities:  7:00 to 7:30 am CT:  San Antonio (930 AM The Answer)  DFW (660 AM, 92.9 FM [Dallas], 95.5 FM [Arlington], 99.9 FM [Fort Worth])  6:30 to 7:00 pm CT:  Austin (KLBJ 590 AM/99.7 FM)  Docs in a Pod also airs on Sundays in the following cities:  1:00-1:30 pm ET:  Tampa (860 AM/93.7FM) 

Recovering after a hospital stay doesn't end when you go home. In this episode of Docs in Pod, host Carmenn Miles and Dr. Tamika Perry of WellMed at Redbird Square sit down with Dr. Jyothi Rereddy of WellMed at Garland to talk about simple but important steps patients can take to stay healthy and avoid a return trip to the hospital. Docs in a Pod focuses on health issues affecting adults. Clinicians and other health partners discuss stories, topics and tips to help you live healthier. Docs in a Pod airs on Saturdays in the following cities:  7:00 to 7:30 am CT:  San Antonio (930 AM The Answer)  DFW (660 AM, 92.9 FM [Dallas], 95.5 FM [Arlington], 99.9 FM [Fort Worth])  6:30 to 7:00 pm CT:  Austin (KLBJ 590 AM/99.7 FM)  Docs in a Pod also airs on Sundays in the following cities:  1:00-1:30 pm ET:  Tampa (860 AM/93.7FM) 

(00:00:00) 224: DOCs Itchy&Bitchy Answer YOUR Questions - Global Edition! (00:00:11) Welcome to Itchy and Bitchy (00:00:42) Doc Itchy Medical Pets Supplements (00:02:32) Hormone Replacement and GLP-1: Navigating Medical Decisions (00:08:06) Brain Fog and Alzheimer's: When to Worry (00:11:11) Menopause in Dogs: A Misunderstanding (00:16:48) The Truth About Alcohol Consumption (00:22:10) GLP-1 and Addiction: A Complex Discussion (00:27:41) Probiotics: The Unknown Frontier (00:32:05) Closing Thoughts on Supplements and Health Ask Docs Itchy&Bitchy:Your Questions on Weight, Hormones, and the GLP-1 additction ...You're writing in from everywhere, and your questions don't hold back, so neither will we. Why is your dog carrying extra weight even though nothing about mealtime has changed? On the human side: does Ozempic actually rewire your brain's reward system, not just your appetite? Emerging research says GLP-1 drugs quiet the same dopamine pathway that drives cravings for food, alcohol, and drugs which raises a wild question we're tackling this season: could a diabetes drug end up treating addiction? We're also digging into whether "Ozempic personality changes" are real, why weight-loss drugs hit women differently at midlife, and what nobody's telling you about pet supplements.Got a question? Send it — nothing's off limits.Visit itchyandbitchy.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/itchy-bitchy-podcast--4303608/support.Itchy & Bitchy: Have you felt dismissed, misdiagnosed, or gaslit by a broken medical system.  From gut health, hormones, autoimmune disease, chronic pain, holistic health, and alternative medicine ... medical gaslighting, patient advocacy , or misdiagnosis we'll call that too.  For chronic illness warriors, self-advocacy seekers: WE OFFER  No BS 

Series Description Disclosure is a three-part podcast series from the Docs with Disabilities Podcast that examines one of the most personal and consequential decisions disabled healthcare providers make: whether, when, and how to disclose a disability. Through the voices of medical students, residents, practicing physicians, psychologists, nurses, researchers, legal scholars, and disability advocates, the series explores disclosure as an ongoing process shaped by identity, institutional culture, ableism, and power. Blending lived experience with research and policy, the series challenges assumptions about disability in healthcare while illuminating pathways toward more inclusive learning, training, and practice environments. Part 2: Medical Culture, Stigma, and What Prevents Disclosure Why does disability disclosure feel so difficult—and for many, unsafe—in healthcare? In the second episode of the Disclosure series, we move beyond individual disclosure decisions to examine the culture of medicine itself. Through the perspectives of physicians, researchers, allied health professionals, disability scholars, and trainees, this episode explores how the hidden curriculum, stigma, institutional practices, and everyday interactions shape whether disabled healthcare professionals feel they belong. Contributors reflect on the burdens of seeking accommodations, the impact of ableist assumptions, the complexities of partial disclosure, and the ways colleagues, mentors, and institutional norms influence identity safety. Together, these stories reveal that disclosure is never simply an individual choice—it is a reflection of the culture in which it occurs and a catalyst for reimagining a more inclusive future for healthcare. Transcript: https://docs.google.com/document/d/103BYwMaTCBRYJB7IZU3UHfp6zMPIvBVF/edit?usp=share_link&ouid=104315301750264632478&rtpof=true&sd=true Keywords Disability disclosure Medical culture Hidden curriculum Ableism in medicine Disability stigma Psychological safety Identity safety Disability accommodations Physicians with disabilities Medical students with disabilities Healthcare workplace culture Health professions education Healthcare inclusion Disability justice Healthcare professionals Production Team Developer, Writer, Executive Producer: Sofia Schlozman Co-Producers: Rylee Betchkal and Lisa Meeks Co-Producer, Sound Selection and Editing: Gabe Abrams Sound Production: Next Day Podcast Digital Media: Katie Sullivan Citations Anderson, H. L. K., Konopasky, A. W., Bullock, J. L., Meeks, L. M., & Jain, N. R. (2025). The Call is Coming from Inside the House: Racism and Ableism in US Medical Education. Teaching and Learning in Medicine, 0(0), 1–19. https://doi.org/10.1080/10401334.2025.2581621 Evans, H. D. (2017). Un/covering: Making Disability Identity Legible. Disability Studies Quarterly, 37(1). https://doi.org/10.18061/dsq.v37i1.5556 Jain, N. R. (2020). Political disclosure: Resisting ableism in medical education. Disability & Society, 35(3), 389–412. https://doi.org/10.1080/09687599.2019.1647149 Graduation Questionnaire (GQ). (n.d.). AAMC. Retrieved July 6, 2026, from https://www.aamc.org/data-reports/students-residents/report/graduation-questionnaire-gq Stergiopoulos E, Fernando O, Martimianakis MA. "Being on Both Sides": Canadian Medical Students' Experiences With Disability, the Hidden Curriculum, and Professional Identity Construction Academic Medicine. 2018;93(10):1550-1559. doi:10.1097/ACM.0000000000002300. Pereira-Lima K, Meeks LM, Ross KET, et al. Barriers to Disclosure of Disability and Request for Accommodations Among First-Year Resident Physicians in the US. JAMA Netw Open.2023;6(5):e239981. doi:10.1001/jamanetworkopen.2023.9981  

Donny Wals returns to talk through a year of agentic coding. We go through how it's changed his architecture decisions, reviewing PRs he didn't write himself, managing tasks and context across parallel agents, and the gym-workout crash he fixed from his phone mid-set — plus where he still doesn't trust the agent: SwiftData migrations.GuestDonny WalsDonny Wals

Diabetes affects millions of Americans, but many people don't realize the serious health complications it can cause when left unmanaged. In this episode of Docs in a Pod, hosts Carmenn Miles and Dr. Rajay Seudath from Optum–University sit down with special guest Dr. James Dinn from WellMed at Division to discuss the most common complications of diabetes and, more importantly, how they can be prevented. Docs in a Pod focuses on health issues affecting adults. Clinicians and other health partners discuss stories, topics and tips to help you live healthier. Docs in a Pod airs on Saturdays in the following cities:  7:00 to 7:30 am CT:  San Antonio (930 AM The Answer)  DFW (660 AM, 92.9 FM [Dallas], 95.5 FM [Arlington], 99.9 FM [Fort Worth])  6:30 to 7:00 pm CT:  Austin (KLBJ 590 AM/99.7 FM)  Docs in a Pod also airs on Sundays in the following cities:  1:00-1:30 pm ET:  Tampa (860 AM/93.7FM)   

Episode Summary     What if a medical career could be built on profound purpose, paid for in full, and shaped by leadership opportunities no civilian path can match? In this episode of WarDocs, COL Danielle Holt, MD, an Army general surgeon and Associate Dean of Admissions and Recruitment at the Uniformed Services University (USU) School of Medicine, lays out exactly what it takes to become a military physician and why the journey is worth it. Drawing on a career that has carried her from broad-spectrum rural surgery at Fort Wainwright, Alaska, to a forward surgical team in Afghanistan, to serving as consultant surgeon for the White House Medical Team at Walter Reed, she offers a candid, insider's view of the two pathways into uniformed medicine.       The conversation centers on the choice every service-minded pre-med must weigh: the tuition-free USU School of Medicine, the nation's only fully federally funded medical school, versus the Health Professions Scholarship Program (HPSP) that places students at civilian schools. She explains the trade-offs in plain terms — the seven-year versus four-year service obligation, the roughly $90,000 annual salary USU students earn while in school, the one hundred hours of military-unique curriculum, and the rotations across military treatment facilities worldwide. She is equally direct about the military match, where competitive specialties such as general surgery can be more attainable than many applicants realize.    COL Holt demystifies admissions. Academics are a threshold, not the finish line — a 496 MCAT and 3.0 GPA for regular decision, rising to a 500 minimum, with a class mean near 510. Beyond the numbers, she explains what actually earns an interview and an offer: a clear reason to be a physician, a genuine commitment to military service, and the personal attributes of teamwork, adaptability, and being comfortable when things get uncomfortable. She names the self-inflicted mistakes that sink applicants — turning the application in late, stalling on medical clearance and waivers, retaking the MCAT too often, and failing to engage the admissions team. She closes with the human core of the school: the fire team model, longitudinal faculty coaching, the Military Medical Communities program, and a culture where students and faculty take care of one another in a way civilian medicine rarely sees. Her message to any pre-med on the fence is simple — do not underestimate yourself, reach out for mentorship, and remember that the mission is the point. Chapters (00:00-04:54) A Surgeon's Journey: ROTC, Alaska, Afghanistan, and the White House (04:55-10:11) What USUHS Is and Why It Is Different (10:12-19:38) USUHS versus HPSP: Obligations, the Military Match, and How to Choose (19:39-27:39) Timelines, Thresholds, and What Earns an Interview (27:40-43:39) Shadowing, Research, Non-Traditional Applicants, and Common Mistakes (43:40-55:30) The Interview, the Fire Team Culture, and Advice for the Fence-Sitter Chapter Summaries (00:00-04:54) A Surgeon's Journey: ROTC, Alaska, Afghanistan, and the White House Holt traces a twenty-plus-year dual-military-career path from ROTC and HPSP through general surgery training at Tripler Army Medical Center to duty stations spanning rural Alaska and a tertiary academic hospital. She describes deploying to a forward surgical team in eastern Afghanistan in 2012 and learning damage-control surgery, and credits the Army with handing her leadership roles far earlier than a civilian career would.   (04:55-10:11) What USU Is and Why It Is Different She defines the Uniformed Services University as the nation's only fully federally funded, tuition-free medical school, training physicians for the Army, Navy, Air Force, Coast Guard, and Public Health Service. Students draw full pay and benefits — roughly $90,000 a year — complete about one hundred hours of military-unique curriculum, and rotate at military treatment facilities across the country and overseas.   (10:12-19:38) USU versus HPSP: Obligations, the Military Match, and How to Choose Holt compares the seven-year USU service obligation with the four-year HPSP commitment and argues the difference is small over a full career. She explains the military match, where critically needed specialties like general surgery can be more attainable, and walks through how applicants apply by service, weigh geography and specialty, and decide which pathway fits their long-term goals.   (19:39-27:39) Timelines, Thresholds, and What Earns an Interview The USU medical-school timeline mirrors other allopathic schools through AMCAS, but military commissioning adds a lengthy medical clearance process, with about half of students needing a waiver. Academics are a threshold — a 496 MCAT and 3.0 GPA for regular decision. Above all, she stresses applying early and finishing requirements, because uncleared applicants get skipped as seats fill.   (27:40-43:39) Shadowing, Research, Non-Traditional Applicants, and Common Mistakes She pushes back on the pressure around clinical shadowing, noting USU requires none and that paid work as a phlebotomist or technician offers equal exposure. Research is likewise not required, given USU's own Capstone program. She details how the school values non-traditional and prior-service applicants, then names the most common self-inflicted mistakes: late applications, stalled clearances, over-testing the MCAT, and downplaying military experience.   (43:40-55:30) The Interview, the Fire Team Culture, and Advice for the Fence-Sitter Holt explains the virtual two-interview format and what makes candidates stand out — genuine commitment, professionalism, and self-knowledge. She describes the fire team model, longitudinal faculty coaching, and the Military Medical Communities program that links applicants, students, and physicians across services. Her closing advice to fence-sitting pre-meds: do not underestimate yourself, seek mentors, and lead with the mission.   Take Home Messages Mindset matters more than a perfect score.: Academic metrics are a threshold, not the finish line. The strongest military physicians are often the applicants who have struggled, adapted, and bounced back — people who value service over a flawless transcript.   The pathway you choose should match the career you want.: The tuition-free, federally funded medical school carries a longer obligation but builds deeper military identity and connections, while the civilian scholarship route offers more independence. Weigh service obligation, specialty goals, and where you see yourself for the long term.   Apply early and finish your requirements.: Rolling admissions reward speed. The single most avoidable mistakes are turning in a late application, stalling on medical clearance and waivers, and waiting too long on the MCAT or letters of recommendation. Uncleared applicants get skipped as seats fill.   Shadowing and research are not gatekeepers.: Required shadowing hours and formal research are not prerequisites. Paid clinical work and life experience count, and the value placed on non-traditional and prior-service applicants means an unconventional background can be a genuine strength.   Camaraderie is the difference, so engage the community.: The fire team model, longitudinal coaching, and military medical community sessions create a culture where students and faculty take care of one another. Do not underestimate yourself — reach out for mentorship and let the mission lead.   Episode Keywords military medicine, USU School of Medicine, Uniformed Services University, Danielle Holt, military doctor, how to become a military physician, HPSP scholarship, military medical school, Army surgeon, premed advice, MCAT, medical school admissions, military match, GME, forward surgical team, Walter Reed, military residency, USUHS, tuition free medical school, military officer physician, WarDocs, military healthcare career, premed shadowing, medical school interview, service obligation Hashtags #MilitaryMedicine, #WarDocs, #USU, #MilitaryMedicalSchool, #HPSP, #FutureMilitaryDoc, #PreMed, #ArmyMedicine Honoring the Legacy and Preserving the History of Military Medicine The WarDocs Mission- WarDocs exists to honor the legacy of Military Medicine, preserve its history, and inspire every generation — across all Services, Corps, and Ranks — to serve with excellence and pride. Through mentorship, coaching, and education, we equip those considering, entering, and serving in military medicine with the knowledge, connections, and community they need to thrive. We celebrate Who we are, What we do, and, most importantly, How we serve Our Patients, the DoW, and Our Nation. Find out more and join Team WarDocs at https://www.wardocspodcast.com/ Check our list of previous guest episodes at https://www.wardocspodcast.com/our-guests Subscribe and Like our Videos on our YouTube Channel: https://www.youtube.com/@wardocspodcast Listen to the "What We Are For" Episode 47. https://bit.ly/3r87Afm WarDocs- The Military Medicine Podcast is a Non-Profit, Tax-exempt-501(c)(3) Veteran Run Organization run by volunteers. All donations are tax-deductible and go to honoring and preserving the history, experiences, successes, and lessons learned in Military Medicine. A tax receipt will be sent to you. WARDOCS documents the experiences, contributions, and innovations of all military medicine Services, ranks, and Corps who are affectionately called "Docs" as a sign of respect, trust, and confidence on and off the battlefield, demonstrating dedication to the medical care of fellow comrades in arms. Follow Us on Social Media Twitter: @wardocspodcast Facebook: WarDocs Podcast Instagram: @wardocspodcast LinkedIn: WarDocs-The Military Medicine Podcast YouTube Channel: https://www.youtube.com/@wardocspodcast

Spin Docs is our segment where we scrutinize true crime docuseries and documentaries. Today, we will speak about Netflix's Maternal Instinct, which chronicles the killing of young mother Reagan Simmons-Hancock and infant Braxlynn Sage Hancock by Taylor Parker on October 9, 2020.Find discounts for Murder Sheet listeners here: https://murdersheetpodcast.com/discountsCheck out our upcoming book events and get links to buy tickets here: https://murdersheetpodcast.com/eventsOrder our book on Delphi here: https://bookshop.org/p/books/shadow-of-the-bridge-the-delphi-murders-and-the-dark-side-of-the-american-heartland-aine-cain/21866881?ean=9781639369232Or here: https://www.simonandschuster.com/books/Shadow-of-the-Bridge/Aine-Cain/9781639369232Or here: https://www.amazon.com/Shadow-Bridge-Murders-American-Heartland/dp/1639369236Join our Patreon here! https://www.patreon.com/c/murdersheetSupport The Murder Sheet by buying a t-shirt here: https://www.murdersheetshop.com/Check out more inclusive sizing and t-shirt and merchandising options here: https://themurdersheet.dashery.com/Send tips to murdersheet@gmail.com.The Murder Sheet is a production of Mystery Sheet LLCSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Emergency medicine can create a unique financial situation because the income can be high, but the structure of that income can look very different from one physician to another. Some ER docs are W-2 employees with hospital retirement plans, while others are independent contractors managing their own tax payments and retirement setup.  In this episode, we're looking at how that difference changes the way ER physicians should think about extra cash, tax planning, and building wealth beyond the basics. Topics discussed: Why W-2 and 1099 ER doc income structures require different financial strategies. The real hierarchy for extra cash once retirement accounts are maxed. Why paying down 7%+ interest debt acts like a guaranteed return. How short-term rentals unlock major tax losses through material participation. Why cash balance pension plans offer big tax deferral for 1099 docs. Resources mentioned: ERdocadvisor.com

Series Description Disclosure is a three-part podcast series from the Docs with Disabilities Podcast that examines one of the most personal and consequential decisions disabled healthcare providers make: whether, when, and how to disclose a disability. Through the voices of medical students, residents, practicing physicians, psychologists, nurses, researchers, legal scholars, and disability advocates, the series explores disclosure as an ongoing process shaped by identity, institutional culture, ableism, and power. Blending lived experience with research and policy, the series challenges assumptions about disability in healthcare while illuminating pathways toward more inclusive learning, training, and practice environments. Part 1: The Decision to Disclose What does it really mean to disclose a disability in healthcare? In the first episode of the Disclosure series, healthcare providers across the continuum—from students and trainees to practicing clinicians—share the personal, professional, and institutional factors that shape disclosure decisions. Drawing on stories from medical students, residents, physicians, researchers, disability scholars, and legal experts, the episode explores disclosure as more than a pathway to accommodations—it can be an act of identity, advocacy, community-building, and resistance. At the same time, contributors examine the risks of stigma, discrimination, and institutional betrayal that continue to make disclosure a deeply complex and often uncertain decision. Transcript: https://docs.google.com/document/d/1IWxZcow_B9hSIGpvozadJ5pov4-Qmq97/edit?usp=share_link&ouid=104315301750264632478&rtpof=true&sd=true Keywords:  Disability disclosure Medical education Physicians with disabilities Medical students with disabilities Disability accommodations Ableism Disability inclusion Healthcare trainees Stigma Health professions education Production Team:  Developer, Writer, Executive Producer: Sofia Schozman  Co Producers: Rylee Betchkal and Lisa Meeks Co-Producer, Sound Selection and Editing: Gabe Abrams Sound Production: Next Day Podcast Digital Media: Katie Sullivan   Citations:  Anderson, H. L. K., Konopasky, A. W., Bullock, J. L., Meeks, L. M., & Jain, N. R. (2025). The Call is Coming from Inside the House: Racism and Ableism in US Medical Education. Teaching and Learning in Medicine, 0(0), 1–19. https://doi.org/10.1080/10401334.2025.2581621 Evans, H. D. (2017). Un/covering: Making Disability Identity Legible. Disability Studies Quarterly, 37(1). https://doi.org/10.18061/dsq.v37i1.5556 Jain, N. R. (2020). Political disclosure: Resisting ableism in medical education. Disability & Society, 35(3), 389–412. https://doi.org/10.1080/09687599.2019.1647149 Graduation Questionnaire (GQ). (n.d.). AAMC. Retrieved July 6, 2026, from https://www.aamc.org/data-reports/students-residents/report/graduation-questionnaire-gq Stergiopoulos E, Fernando O, Martimianakis MA. "Being on Both Sides": Canadian Medical Students' Experiences With Disability, the Hidden Curriculum, and Professional Identity Construction Academic Medicine. 2018;93(10):1550-1559. doi:10.1097/ACM.0000000000002300. Pereira-Lima K, Meeks LM, Ross KET, et al. Barriers to Disclosure of Disability and Request for Accommodations Among First-Year Resident Physicians in the US. JAMA Netw Open. 2023;6(5):e239981. doi:10.1001/jamanetworkopen.2023.9981  

Dementia affects millions of individuals and families, yet misinformation and stigma continue to create confusion about the condition. In this episode of Docs in a Pod, hosts Carmenn Miles and Dr. Rajay Seudath of Optum – University sit down with Dr. Jeremy Smith of WellMed at Division to separate fact from fiction and explore what everyone should know about dementia. Docs in a Pod focuses on health issues affecting adults. Clinicians and other health partners discuss stories, topics and tips to help you live healthier. Docs in a Pod airs on Saturdays in the following cities:  7:00 to 7:30 am CT:  San Antonio (930 AM The Answer)  DFW (660 AM, 92.9 FM [Dallas], 95.5 FM [Arlington], 99.9 FM [Fort Worth])  6:30 to 7:00 pm CT:  Austin (KLBJ 590 AM/99.7 FM)  Docs in a Pod also airs on Sundays in the following cities:  1:00-1:30 pm ET:  Tampa (860 AM/93.7FM) 

Inside today's featured replay interview, I get into the broader conversation on metabolic health and why I treat calories and hormones as inseparable rather than opposing camps, what a comprehensive lab panel should actually include, and how to think about the testosterone conversation without overreacting. I cover the role of leptin, ghrelin, and GLP-1 in appetite regulation, the homeostatic and hedonic eating systems, and why the people playing macro Tetris while feeling like trash and the people eating Whole30 without the body they want are both missing the same thing. Topics discussed: - The Calories vs Hormones Debate- Leptin, Ghrelin, and GLP-1 in Appetite- Macros as a Tool for a Season- The Full Thyroid and Reproductive Panel- Cardiovascular Markers Beyond Standard Lipids- Vitamin D, Magnesium, and Family History- Why Testosterone Has Declined Since the 1980s- Western Range vs Functional Range- Benchmarking Labs Before You Need Them- The TRT Decision Framework and Fertility---------- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠My Live Program for Coaches: The Functional Nutrition and Metabolism Specialization ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.metabolismschool.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---------- [Free] Metabolism School 101: The Video Series⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.metabolismschool.com/metabolism-101⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠----------Subscribe to My Youtube Channel: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://youtube.com/@sammillerscience?si=s1jcR6Im4GDHbw_1⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠----------⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Grab a Copy of My New Book - Metabolism Made Simple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---------- Stay Connected: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram: @sammillerscience⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube: SamMillerScience⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook: The Nutrition Coaching Collaborative Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok: @sammillerscience⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠----------“This Podcast is for general informational purposes only and does not constitute the practice of medicine, nursing or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast and the show notes or the reliance on the information provided is to be done at the user's own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment and is for educational purposes only. Always consult your physician before beginning any exercise program and users should not disregard, or delay in obtaining, medical advice for any medical condition they may have and should seek the assistance of their health care professionals for any such conditions. By accessing this Podcast, the listener acknowledges that the entire contents and design of this Podcast, are the property of Oracle Athletic Science LLC, or used by Oracle Athletic Science LLC with permission, and are protected under U.S. and international copyright and trademark laws. Except as otherwise provided herein, users of this Podcast may save and use information contained in the Podcast only for personal or other non-commercial, educational purposes. No other use, including, without limitation, reproduction, retransmission or editing, of this Podcast may be made without the prior written permission of Oracle Athletic Science LLC, which may be requested by contacting the Oracle Athletic Science LLC by email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠operations⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@sammillerscience.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. By accessing this Podcast, the listener acknowledges that Oracle Athletic Science LLC makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast."

Jake shares lessons from rebuilding a permissions system around flexible roles, temporary permission leases, and delegated user management. He also discusses adding Apple Pay and Google Pay, plus designing automated text-message payment flows that use numbered choices instead of complicated keywords.Michael talks about building lender integrations, the importance of adding real context to API documentation, and using Claude to turn JSON specifications into PHP DTOs and enums. He also reflects on his team's new helpdesk rotation, where direct exposure to users has uncovered long-standing bugs, inefficient manual processes, and opportunities for developers to better understand the people using their software.They finish with the challenges of parenting teenagers, preparations for Laracon US in Boston, including a search for coffee, donuts, bagels, and cannoli. (00:00) - Club World Cup surprises and sports talk (03:12) - UFC, LeBron and basketball moves (06:33) - Rebuilding roles and permissions (08:39) - Permission leases and delegated management (10:02) - Apple Pay, Google Pay and text-based payments (11:50) - Lender integrations and better API documentation (14:08) - A new developer and the helpdesk rotation (17:13) - Automated tickets and failed queue jobs (18:54) - The address autocomplete bug (19:58) - When tiny code changes create hidden failures (23:02) - Why support requests need a real ticket (25:17) - Developers learning directly from customers (27:53) - Cross-department training and business context (30:51) - Building trust beyond Slack (32:02) - Weekly stress, workload and personal check-ins (35:18) - Parenting teenagers and setting curfews (37:10) - Planning for Laracon US in Boston (40:00) - Australian and American school calendars (42:51) - Vacations, PTO and wrapping up

Today we'll hit the headline sin hour one, including the fact that a handful of legislators had a secret AGDC document and ramifications of that. Also the latest ruling on the AK Senate Race with the two Dan's. Then in hour two we'll talk with libertarian candidate for US Senate Scott Kohlhaas.

In this episode of Docs in a Pod, hosts Carmenn Miles and Dr. Brooke Mobley sit down with Dr. Margert Amanti from Optum - Tarpon Springs  to talk about colorectal cancer. They break down the difference between colon cancer and rectal cancer, what causes them, and why understanding those differences matters. Together, they walk through common risk factors, symptoms to watch for, and the importance of early screening. It's an informative, easy-to-follow conversation designed to help listeners better understand colorectal cancer and take a more proactive approach to their health. Docs in a Pod focuses on health issues affecting adults. Clinicians and other health partners discuss stories, topics and tips to help you live healthier. Docs in a Pod airs on Saturdays in the following cities:  7:00 to 7:30 am CT:  San Antonio (930 AM The Answer)  DFW (660 AM, 92.9 FM [Dallas], 95.5 FM [Arlington], 99.9 FM [Fort Worth])  6:30 to 7:00 pm CT:  Austin (KLBJ 590 AM/99.7 FM)  Docs in a Pod also airs on Sundays in the following cities:  1:00-1:30 pm ET:  Tampa (860 AM/93.7FM)     

If there was one thing people loved more than drugs in the 70s, it was paranormal phenomena. The crew talk about 70s paranormal and cryptid documentaries with Mysterious Monsters, The Bermuda Triangle, and Manbeast! Myth or Monster on this episode of Attack of the Killer Podcast! Listen & subscribe wherever you get your podcasts or go to http://www.aotkp.com Connect with the show: Become an Official Attacker: http://jointheattackers.com/ Visit our website: http://www.attackofthekillerpodcast.com/ Like us on https://www.facebook.com/attackofthekillerpodcast Follow us on https://twitter.com/AotKP Follow us on https://tiktok.com/@attackofthekiller  Follow us on https://www.instagram.com/attackofthekillerpodcast/ Follow us on https://www.threads.net/@attackofthekillerpodcast Subscribe on https://www.youtube.com/attackofthekillerpodcast Join us on https://www.aotkp.com/discord  Support the show at https://www.patreon.com/aotkp/posts Lastly, check out all the amazing shows at http://thepfpn.com

    Few careers in military medicine trace an arc as wide as that of CAPT (Ret) Kimberly Elenberg, DNP, RN. In this episode she sits down with WarDocs to map a journey that began as an ROTC cadet who joined because she saw students rappelling down a building in Philadelphia, and that has since carried her from the bedside at Walter Reed Army Medical Center to the role of principal investigator on a Carnegie Mellon University team competing in the DARPA Triage Challenge. Along the way she changed uniforms, disciplines, and altitudes of responsibility, but never lost the thread that ties it all together: people first, and the relationships that make hard things possible.     CAPT (Ret) Elenberg describes how early mentors shaped her. Colonel Graham showed her that putting people first is a practice, not a slogan. Major McGee backed her instinct for innovation, and as a young nurse on Ward 51 she built one of the first patient education centers in a military treatment facility, learned to set up networks and hardware, and pursued nursing informatics before the field was common. She recounts moving to research at NIH, where her work on TPA for clearing central line catheters was later adopted as best clinical practice, and her decision to volunteer as an EMT and medic so she would understand field medicine as well as hospital medicine.       From there the conversation follows her into the U.S. Public Health Service, where after 9/11 the Surgeon General asked her to help build the nation's deployable response teams from concept to operation, training them in real communities facing real crises. She explains how anthrax and zoonotic disease drew public health into agriculture and food security, how her long relationship with Carnegie Mellon's Auton Lab began with a bus trip and a phone call, and how that mathematical grounding in probabilistic modeling resurfaced when she was asked to model the effects of policy during COVID and, later, to track military security assistance flowing to Ukraine.     The episode closes on the present and the future: autonomous triage payloads that can read a casualty's physiological state without touching them, robotic snakes that might pack non-compressible hemorrhage, swarms of drones and ground robots that find the wounded and feed the right information to the right echelon. Throughout, CAPT (Ret) Elenberg returns to her core lessons — trust your chain of command, define what success really looks like, build on small wins, and never limit yourself to your military occupational specialty. From an orphanage and a food-service background to teaching at the National Defense University, hers is a story about doors held open and relationships that endure. Chapters (00:54-07:11) From Rappelling Cadet to Innovating Army Nurse (07:11-16:48) Building the Nation's Public Health Response Teams (16:48-22:24) Biosurveillance Modeling COVID and Ukraine Aid (22:24-32:32) The Power of Relationships Across a Career (32:32-37:37) Autonomy Confidence and Knowing When to Explore (37:37-51:33) The DARPA Triage Challenge and Lessons That Last Chapter Summaries (00:54-07:11) From Rappelling Cadet to Innovating Army Nurse The guest traces her start as an ROTC cadet drawn in by students rappelling down a Philadelphia building, her commissioning as an Army nurse, and her first duty station at Walter Reed Army Medical Center. Early mentors, including Colonel Graham and Major McGee, taught her that people truly come first and backed her instinct for innovation. On Ward 51 she built one of the first patient education centers in a military treatment facility while teaching herself websites, networking, and nursing informatics.   (07:11-16:48) Building the Nation's Public Health Response Teams Her NIH research on TPA for central line catheters was later adopted as best clinical practice, and she volunteered as an EMT and medic to learn field medicine. After moving to the U.S. Public Health Service for family stability, she answered the Surgeon General's call following 9/11 to build the nation's deployable response teams from concept to operation. Anthrax and zoonotic disease pulled public health into agriculture and food security across the federal enterprise.   (16:48-22:24) Biosurveillance Modeling COVID and Ukraine Aid Tasked to advise on detecting events and discerning intent, she leaned into probabilistic modeling and a long relationship with Carnegie Mellon's Auton Lab that began with a bus trip and a phone call. As Director of Population Health at the Defense Health Agency she modeled total force fitness, then was asked to model the effects of policy during COVID rather than the disease itself. The work forced coordination across agencies, departments, and services on a scale not seen since World War II.   (22:24-32:32) The Power of Relationships Across a Career Describing herself as an introvert, she explains why relationships are the engine of accomplishment, recalling a Ranger literally pushing her up a mountain during advanced camp after a car accident. Those bonds endured and resurfaced decades later in Texas during the DARPA Triage work. She recounts retiring out of Poland after 28 years, where she stood up a secure network to coordinate 26 non-doctrinal partners supporting aid to Ukraine.   (32:32-37:37) Autonomy Confidence and Knowing When to Explore She makes the case for military service as a path to clinical autonomy and the chance to think, decide, and do research that civilian roles often do not allow. She reflects on how to know when to pursue a new opportunity: trust your chain of command, negotiate and listen when you are the one in charge, and act on principles of doing no harm. Confidence, she says, means not being afraid to fail.   (37:37-51:33) The DARPA Triage Challenge and Lessons That Last She gives a plain-language tour of her team's autonomous triage work — payloads that read physiological state without touching a casualty, visual reasoning models tempered by Bayesian rigor, and platforms that deliver the right information to each echelon. Using a DoD-wide tobacco policy as a case study, she explains the art of the doable and building success on small wins. She closes with advice on confidence, integrity, and holding doors open for the next generation.   Take Home Messages Cross disciplines to scale care: The greatest gains often come from teaming up outside your own specialty. Pairing clinical insight with engineering, informatics, and operations lets a single provider extend capability and capacity far beyond what one profession can deliver alone. People first is a practice, not a slogan: Leaders who genuinely put people first earn the trust that makes hard missions possible. The example of a leader who recognized her team while facing her own serious illness shows that the principle is proven in action, not in words. Relationships are the engine of accomplishment: No one knows everything, and progress depends on the people willing to push you up the mountain. Networks built early endure for decades and can be called on when the mission needs them most. Define what success really looks like: Insisting on the perfect outcome can stall progress entirely; agreeing on the art of the doable moves the mission forward. Real success is often a series of small wins that build on one another over time. Confidence means not being afraid to fail: Growth lives outside the comfort zone, and everyone fails sometimes. Acting with honesty, integrity, and your best effort each day — then trusting tomorrow brings another chance — is what builds lasting confidence. Episode Keywords military medicine, Army nurse, military nursing, WarDocs, military medicine podcast, public health service, USPHS, DARPA Triage Challenge, autonomous triage, battlefield medicine, combat casualty care, Carnegie Mellon University, Auton Lab, nursing informatics, biosurveillance, COVID modeling, population health, Defense Health Agency, Walter Reed, military innovation, medical robotics, drone medicine, military mentorship, veteran leadership, military medical research Hashtags #MilitaryMedicine, #WarDocs, #ArmyNurse, #PublicHealth, #BattlefieldMedicine, #DARPA, #MilitaryInnovation, #VeteranLeadership   Biography Dr. Kimberly Elenberg, a retired USPHS Captain, is the Director of Data and Mission Partner Sharing at ECS. A distinguished leader in biosurveillance and emergency response, she applies data science to enhance national security. Notably, she served as the incident response commander for modeling and analytics for the Secretary of Defense COVID Task Force. Previously, as a principal scientist at Carnegie Mellon University, she advanced autonomous systems for biosurveillance. Dr. Elenberg consistently bridges theoretical research with practical healthcare delivery, leveraging her clinical expertise and military discipline to safeguard public health. Her exceptional contributions have earned her several highly prestigious awards, including the 2022 Defense Superior Service Medal, the 2022 USPHS Distinguished Service Medal, and the 2020 National Emergency Preparedness Award for her outstanding operational acumen.         Honoring the Legacy and Preserving the History of Military Medicine The WarDocs Mission- WarDocs exists to honor the legacy of Military Medicine, preserve its history, and inspire every generation — across all Services, Corps, and Ranks — to serve with excellence and pride. Through mentorship, coaching, and education, we equip those considering, entering, and serving in military medicine with the knowledge, connections, and community they need to thrive. We celebrate Who we are, What we do, and, most importantly, How we serve Our Patients, the DoW, and Our Nation.   Find out more and join Team WarDocs at https://www.wardocspodcast.com/ Check our list of previous guest episodes at https://www.wardocspodcast.com/our-guests Subscribe and Like our Videos on our YouTube Channel: https://www.youtube.com/@wardocspodcast Listen to the “What We Are For” Episode 47. https://bit.ly/3r87Afm   WarDocs- The Military Medicine Podcast is a Non-Profit, Tax-exempt-501(c)(3) Veteran Run Organization run by volunteers. All donations are tax-deductible and go to honoring and preserving the history, experiences, successes, and lessons learned in Military Medicine. A tax receipt will be sent to you. WARDOCS documents the experiences, contributions, and innovations of all military medicine Services, ranks, and Corps who are affectionately called "Docs" as a sign of respect, trust, and confidence on and off the battlefield, demonstrating dedication to the medical care of fellow comrades in arms.     Follow Us on Social Media Twitter: @wardocspodcast Facebook: WarDocs Podcast Instagram: @wardocspodcast LinkedIn: WarDocs-The Military Medicine Podcast YouTube Channel: https://www.youtube.com/@wardocspodcast    

Phil, and Ian are joined by Noah Wall& Jacob Wehmeyer to discuss Tulsi Gabbard exposing Fauci, a top pro-Israel newspaper accuses Trump of betrayal after the Iran deal, and Los Angeles moves to allow non-citizens to vote.  SUPPORT THE SHOW BUY CAST BREW COFFEE NOW - https://castbrew.com/ GET OUR MERCH - https://merch.timcast.com/ Join - https://timcast.com/discord Hosts: Phil @PhilThatRemains (X) | https://allthatremains.komi.io/ Ian @IanCrossland (everywhere) | https://graphene.movie/ Producer: Carter @carterbanks (X) | @trashhouserecords (YT) Guest: Noah Wall @NoahWall (X) Jacob Wehmeyer @JacobIWehmeyer (X)  Podcast available on all podcast platforms! Fauci Docs DROP, Tulsi ACCUSES Fauci of LYING About Lab Leak | Timcast IRL For advertising inquiries please email sponsorships@rumble.com

Conservatives are divided over President Trump's approach to Iran as backlash grows over the latest deal and JD Vance's comments regarding Israel. Megyn Kelly, Dana Loesch, Batya Ungar-Sargon and others weigh in while supporters and critics battle over whether Trump's strategy will ultimately prevent Iran from obtaining a nuclear weapon.Plus, Scott Jennings clashes with CNN panelists, Marco Rubio's 2028 prospects are discussed, Pete Hegseth calls out NATO allies, and new controversy surrounds Dr. Fauci after Tulsi Gabbard releases a video highlighting more questions surrounding the COVID response.We also cover the DOJ's announcement involving a major fraud case, George Conway's anti-Trump campaign, Hezbollah attacks on Israel, rumors of side deals, Joe and Jill Biden, the Obama Presidential Library opening, and the latest viral TikToks and culture stories.SUPPORT OUR SPONSORS TO SUPPORT OUR SHOW!Give Dad the gift he'll use every week - Chef IQ Sense. Get 40% off sitewide at https://ChefIQ.com use promo code CHICKS Schedule your FREE risk review from Bulwark Capital at https://KnowYourRiskPodcast.comGive $26 today. Be her lifeline. Create a Life Saving Moment. Give today at http://humancoalition.org/chicks Because readiness isn't just for those in the field—it's for life. Explore simple ways to stay prepared at https://ReadyWise.com and save 10% with Chicks10.Go to https://ChicksLoveOliveOil.com and get a FREE full-size $49 bottle of Fresh-Pressed Olive Oil for just pay $1 shipping—no commitmentSubscribe and stay tuned for new episodes every weekday!Follow us here for more daily clips, updates, and commentary:YoutubeFacebookInstagramTikTokXLocalsMore InfoWebsite

Conservatives are divided over President Trump's approach to Iran as backlash grows over the latest deal and JD Vance's comments regarding Israel. Megyn Kelly, Dana Loesch, Batya Ungar-Sargon and others weigh in while supporters and critics battle over whether Trump's strategy will ultimately prevent Iran from obtaining a nuclear weapon. Plus, Scott Jennings clashes with […]

Exiting DNI Gabbard Releases Docs Proving Fauci Created COVID-19, Covered Up Its Origin & Lied To Congress Under Oath 

On Her Final Day Gabbard Releases Secret Docs 100% Proving Fauci Created Covid-19! Plus, Leftists In UK Openly Raping Babies To Death, Feeding Children To Crocodiles

Dave Rubin of "The Rubin Report" gives a first look to the stories you need to know to start your day including chaos erupting across New York City after the New York Knicks won their first NBA championship since 1973, with 63 arrests, multiple stabbings, a shooting, vandalized buses, damaged NYPD vehicles, and widespread unrest overshadowing a historic victory; Mayor Zohran Mamdani and Governor Kathy Hochul condemning the violence while millions of Knicks fans celebrated peacefully; and Director of National Intelligence Tulsi Gabbard releasing newly declassified documents detailing more than 40 U.S.-funded biological laboratories in Ukraine, reigniting debate over government transparency, dangerous pathogen research, Pentagon-funded biosecurity programs, and claims that concerns once dismissed as conspiracy theories deserved greater scrutiny, and much more.

President Trump's former national security adviser John Bolton is expected to plead guilty over mishandling classified documents, sources familiar with the matter tell ABC News. An appeals court panel is set to hear arguments over whether the White House ballroom construction should continue. And new reports surrounding Maine's Democratic Senate candidate Graham Platner threaten the party's path to the majority. Learn more about your ad choices. Visit podcastchoices.com/adchoices