Podcasts about Motion

I think having fewer moving duck decoys is better than having more decoys that stay still. In this episode I share some tips on how to create motion decoys for cheap. Learn more about your ad choices. Visit megaphone.fm/adchoices

Intelligence analyst and former law enforcement officer Michael Letts rejoins the program to share his assessment of what President Trump's recent speech was intended to signal. According to Letts, the speech marked the beginning of what he believes will be a series of operations aimed at confronting deeply entrenched criminal networks and corruption within government institutions. He explains why he believes these efforts are only the beginning of a much broader campaign.In today's discussion, Sarah and Michael examine the broader issues of government corruption, institutional accountability, and declining public trust. They explore what it could take to dismantle entrenched systems of corruption, restore confidence in public institutions, and rebuild organizations capable of effectively serving the American people. They also discuss the challenges involved in reforming large institutions and the long-term implications for the country.Whether you're interested in government accountability, public policy, national security, or current political developments, this conversation offers an engaging perspective on issues affecting today's political landscape.Learn more about Michael Letts and support his efforts to provide protective gear for frontline officers at https://InvestUSA.orgLinksSupport Sarah Westall by visiting SarahWestall.com/ShopSign up for the newsletter and see exclusives at SarahWestall.Substack.comSee the full extended episode at SarahWestall.Substack.com

This week on America on the Road, Jack Nerad is joined by guest co-host Matt DeLorenzo (Chris Teague is off remodeling). They deliver two fresh road tests — 2026 Lexus NX 350h and 2026 Volvo EX30 Cross Country — and they unpack the latest JD Power APEAL study, California's EV funding irony and new EV incentives, Waymo robotaxi challenges, and Toyota's 2027 Crown and Sequoia updates. Special guest Jason Allan, founder of Bestest.com, also joins the show.

Send us Fan MailMotion Orthopedics provides services for injured construction workers across Missouri as described by Wynnette Sherrill, Occupational Therapist and Business Development for Dr. Nathan Mall.Support the showLearn more at www.agcmo.orgPlease share our podcast with anyone interested in the construction industry!

Sri Sathya Sai Unity Run & Ride - Divine Vision in Motion

Watch the full coverage of the live stream on The Emily D. Baker YouTube channel: https://youtu.be/9bsf3cS-Mkk  Kouri Richins was convicted in March 2026 of the aggravated murder of her husband, Eric Richins, and additional charges of insurance fraud. Following her conviction, the case has moved into post-trial proceedings, including a recent motion for disqualification of the presiding judge and an ongoing dispute over restitution payments to insurance companies. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Reading through the denial of Kouri's request to remove Judge Mrazik from her bid for a new trialBecome a supporter of this podcast: https://www.spreaker.com/podcast/pretty-lies-and-alibis--4447192/support.ALL MERCH 10% off with code Sherlock10 at checkout  - NEW STYLES Donate: (Thank you for your support! Couldn't do what I love without all y'all) PayPal - paypal.com/paypalme/prettyliesandalibisVenmo - @prettyliesalibisBuy Me A Coffee - https://www.buymeacoffee.com/prettyliesrCash App- PrettyliesandalibisAll links: https://linktr.ee/prettyliesandalibisMerch: prettyliesandalibis.myshopify.comPatreon: https://www.patreon.com/PrettyLiesAndAlibis(Weekly lives and private message board)

First up on the podcast, we catch up with Celina Zhao, a staff reporter for Science's AI In Science reporting initiative. She talks with host Sarah Crespi about artificial intelligence's knack for finding legal loopholes and how philosophers are navigating conflicts of interest around advising companies on AI. Next on the show, it's hard to figure out how much force a muscle is exerting without sticking invasive probes into the body. Christopher Bird, a Ph.D. candidate in the School of Biomedical Sciences at the University of Queensland, discusses a new way to use ultrawideband radar to measure muscle forces that could prove useful for assistive devices and rehabilitation. Finally, the third in our limited six-part series on scientific biographies. This month, host Angela Saini talks with zoologist Matthew Cobb about his new book on the life of Francis Crick, Crick: A Mind in Motion. This week's episode was produced with help from Podigy.     Image credit: Chiara Vercesi Learn more about your ad choices. Visit megaphone.fm/adchoices

Quand vous ressentez une émotion intense (colère, frustration, vexation…) ça vous arrive de vous sentir bloqué·e dans cette émotion, et d'avoir du mal à “passer à autre chose” ?Cet épisode répond exactement à cette difficulté : je partage avec vous un outil que j'ai inventé pour mon fils et qui marche tout aussi bien pour les adultes.Cet outil tient en trois lettres : PDG. Non, pas président directeur général, mais un moyen simple de traverser une émotion difficile sans lui résister, ni la fuir.(Rediffusion de l'épisode 327 : Le PDG des émotions.)Dans cet épisode, vous allez découvrir :Pourquoi résister à une émotion pénible ne fait que la prolongerLes trois étapes du PDG pour accompagner un enfant (ou vous-même) dans un moment difficileLe piège de la "fausse distraction" qui bloque le cycle émotionnel au lieu de l'aiderComment adapter cet outil à votre propre vie d'adulte, seul·e ou entouré·eUn épisode utile pour les parents, mais pas seulement : si vous ressentez vos émotions avec intensité, ou même si vous cherchez simplement à mieux gérer un inconfort physique récurrent, cette méthode a toute sa place dans votre boîte à outils.Vous pouvez aussi :

Mentorship in Motion: The Power of Partnership Sandra Pretari-Hickson joins host Laura Reeves to discuss her 25-year partnership with Betty-Anne Stenmark and how their shared devotion and collaborative mentorship have preserved the iconic King's Mountain Dandie Dinmont Terrier legacy. This episode of the Dandie Dinmont Terrier Diaries is part of Pure Dog Talk's Clubhouse. The series features members of the Club Partnership Program who are working to preserve the knowledge of their legacy breeders. Episode Highlights The Spark of a Historic Partnership: Sandra shares the story of meeting Betty-Anne at a handling class, a chance encounter that led to Betty-Anne gifting Sandra her very first Dandie, "Kings Mountain Mousetrap," and cementing a 25-year breeding partnership.A Shared Vision for a Distinct Type: Working hand-in-hand, Sandra and Betty-Anne established an internationally recognized breed type. Sandra explains their 50-year joint commitment to never compromising on correct front assemblies, classic heads, athletic movement, and the signature long outline.Navigating the "Gene Puddle" Together: Sandra discusses managing a rare breed's limited gene pool (coined a "gene puddle" by Betty-Anne). By combining their expertise, they utilized tight line breeding, imported frozen semen from across the globe, and coordinated artificial inseminations to safely preserve the line.Honest Evaluation and Ruthless Selection: Mentorship requires tough, honest decisions. Sandra details how she and Betty-Anne evaluate slow-maturing puppies at 10 weeks and why maintaining breed integrity means placing dogs with significant faults into happy companion homes.Preserving the "Stand-Up" Terrier Temperament: Sandra emphasizes the importance of protecting the athletic, working drive of the Dandie Dinmont. She shares her dedication to keeping the "terrier in the terrier" through active socialization, barn hunt sports, and earthdog trials.Passing the Torch to the Next Generation: True partnership extends beyond a single lifetime. Sandra highlights how she is actively paying her mentorship forward by guiding two to three promising young breeders to ensure the King's Mountain legacy continues to thrive. For more information about joining Pure Dog Talk's Clubhouse Series and becoming a Club Partner, stop by the website.

Even after being convicted of killing her husband and sentenced to life in prison without the possibility of parole, Kouri Richins isn’t giving up. She and her legal team are trying to get a whole new trial, claiming that the judge who oversaw the original case wasn’t fair and came off as “hostile” to their side. Another judge denied that motion last night. KSL Legal Analyst Greg Skordas explains the development and the future of all the appeals.

Join us for a great hour of history and fun, as we talk with members of the Military Vehicle Preservation Association convoying across Montana this week as part of their “History in Motion” program that, this year, is tracking the […] The post Historic Military Vehicles Convoy Across the State first appeared on Voices of Montana.

Matters Microbial #135: Biofilms in Motion—The Adorable Zorbs July 30, 2026 Host: Mark O. Martin Guest: Jo Handelsmann, Shruthi Magesh Subscribe: Apple Podcasts, Spotify Become a patron of Matters Microbial! Links for this episode Here is a link to the Etsy shop where one can buy the wonderful "THIS IS WHAT A MICROBIOLOGIST LOOKS LIKE" enamel pins. Here is a link to the World Microbiome Day website. Here is a link to the interesting work of Contamination Club. The story of Alexander Fleming's famous contaminant that led to the discovery of penicillin.  Here is a link to Dr. Handelsman's recent book, "A World Without Soil."  Highly recommended.  The website for Dr. Handelsman's wonderful "Tiny Earth" program, helping students worldwide to screen soil for antimicrobial production (and learning about microbial diversity).   An overview of the microbial complexity of soil.   A video overview of biofilms. A video overview of types of bacterial motility. A video overview of "gliding motility" among bacteria. Some bacteria can "hitchhike" or are carried by other bacteria, such as Paenibacillus.  Learning about an odd sport involving "zorbs." An introductory essay on "zorbing" and motility. Another introductory essay on "co-zorbing," the topic of today's discussion. A description of Flavobacterium johnsoniae, which carries out "zorbing."  The original article on THOR ("The Hitchhikers of the Rhizosphere") by Dr. Handelsman and colleagues. The original "zorb" paper by Dr. Handelsman and colleagues that was discussed during today's podcast. The "co-zorb" paper by Dr. Handelsman, Dr. Magesh, and colleagues that was discussed during today's podcast. A fascinating video by Dr. Handelsman and her path to becoming a microbial scientist. Highly recommended..   Dr. Handelsman's faculty website. The website for the Wisconsin Institute for Discovery. Dr. Handelsman's research laboratory website. Intro music is by Reber Clark Send your questions and comments to mattersmicrobial@gmail.com

First up on the podcast, we catch up with Celina Zhao, a staff reporter for Science's AI In Science reporting initiative. She talks with host Sarah Crespi about artificial intelligence's knack for finding legal loopholes and how philosophers are navigating conflicts of interest around advising companies on AI. Next on the show, it's hard to figure out how much force a muscle is exerting without sticking invasive probes into the body. Christopher Bird, a Ph.D. candidate in the School of Biomedical Sciences at the University of Queensland, discusses a new way to use ultrawideband radar to measure muscle forces that could prove useful for assistive devices and rehabilitation. Finally, the third in our limited six-part series on scientific biographies. This month, host Angela Saini talks with zoologist Matthew Cobb about his new book on the life of Francis Crick, Crick: A Mind in Motion. This week's episode was produced with help from Podigy.     Image credit: Chiara Vercesi Learn more about your ad choices. Visit megaphone.fm/adchoices

Gentle Presence & Mindful Flow — Complete Practice (66 min, 24 min preview)A gentle complete practice that invites you to shift your attention away from perfecting poses and toward simply being present with the experience of moving. While there are moments of meaningful challenge, the emphasis remains on awareness, steadiness, and meeting each posture with curiosity rather than expectation.The sequence offers enough strength and balance work to keep you engaged, but physical accomplishment is never the point. Instead, the practice creates space to notice your breath, your reactions, and the subtle quality of your attention from one moment to the next. The result is a class that feels nourishing, centered, and quietly transformative.This is a beautiful choice for days when you want yoga to be less about what you can do and more about how you choose to be.New class every Tuesday. 350+ full classes in the Unlimited Archive at JustGreatYoga.com

Live from Ag in Motion at the John Deere booth, Kristjan Hebert and Evan Shout are joined by Deanna Kovar, president of Deere's Ag and Turf Division. Kovar grew up on a Wisconsin dairy farm, started as a summer intern decades ago, and has since worked her way through nearly every corner of the company.... Read More

Live from Ag in Motion at the John Deere booth, Kristjan and Evan are joined by Deanna Kovar, President of Deere's Ag and Turf Division. She grew up on a Wisconsin dairy farm, started as a summer intern decades ago, and has since worked her way through nearly every corner of the company. It's a chance to talk shop with someone who's both run the numbers on a combine's R&D budget and filled the drill herself. The conversation ends up being less about any single product and more about how Deere thinks. How a company built on iron became just as much a technology company, why that bet on precision ag decades ago still shapes everything they build today, and how they're trying to earn farmers' trust with their data while actually making it useful. Trade policy and tariffs come up; so does the long road from "nobody wanted to touch Operations Centre" to "I can't run my farm without it," and there's real talk about right to repair, retrofitting older equipment, and where the next wave of value on the farm is actually going to come from. It's a wide-ranging, honest conversation from someone who clearly hasn't lost the farm-kid perspective despite the corner office — capped off with a few personal questions that get at how she thinks about leadership, decision-making, and what she'd want for the future of North American agriculture. 

Kouri Richins filed a motion for a new trial. Seven weeks after a judge sentenced her to life without parole for the aggravated murder of her husband Eric Richins. Seven weeks after her own sons begged the court to keep them safe. Her attorneys claim the judge showed bias, that financial crimes evidence unfairly prejudiced the jury, and that she deserves the same kind of do-over that Alex Murdaugh received in South Carolina.Tony Brueski tears apart every claim. The Murdaugh comparison is the centerpiece of the defense strategy and the weakest part of it — the South Carolina ruling turned on proven jury tampering that has no equivalent in the Richins case. The episode walks through both pillars of the Murdaugh reversal and shows why only one of them applies, and even that one doesn't apply the way her lawyers need it to.The judge has stepped aside. A new judge will rule on the motion. The episode covers what that means procedurally and why it's standard practice, not an admission of anything.Inside the episode: the three specific claims in the motion, the financial evidence that the defense calls prejudicial and the prosecution calls motive, the text Kouri sent an admirer after the guilty verdict promising to "expose them all," and the courtroom footage of Kouri making faces while counselors read her children's statements. Her sons no longer call her Mom. One wrote that what she did was "very sick." Another said he wouldn't feel safe if she were free. Eric's father told the court his son was a light taken too soon.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/TrueCrimePodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#KouriRichins #EricRichins #HiddenKillers #TrueCrime #KouriRichinsNewTrial #JusticeForEric #NewTrialMotion #ParkCityUtah #AlexMurdaugh #LifeWithoutParole

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

In this episode of Life in Motion, Jeremy talks with Tana Grenda, owner of Bristol Bay Fitness, host of Grenda's Getaways, and author of the Wiley-Boo-Hah outdoor children's books. Tana shares how getting her pilot's license at 17 eventually led her to Bush Alaska, where she and her husband built a life around family, adventure, and living off the land. They talk about becoming foster parents to a sibling group of five, launching a fitness business from home, creating outdoor retreats that help women build confidence, and writing books inspired by her family's way of life. It's an honest conversation about choosing a harder but more meaningful path, tuning out outside opinions, and chasing the life that feels right for you.Life in Motion is brought to you by Actual Outdoors. They help build beautiful brands that highlight the approachable and authentic parts of outdoor recreation. Said simply - they “keep it real”. Find them online at actualoutdoors.com or on Instagram at @actualoutdoors.Tweet us and let us know what you think of this episode! @illuminecollectFind more episodes at www.illuminecollect.com/blogs/life-in-motion-podcastSince 2017 Illumine has donated over $54,362 to outdoor nonprofits and shared over 269 stories on the Life in Motion Podcast.

On this episode Shelby Denault of Together in Motion joins the show to share her left below-the-knee amputation journey, how she found strength and humor through recovery, and how she turned it into a support network for amputees, caregivers, and families. We hear about prosthetic care tips, phantom sensations, and community-building, then dive into the upcoming Wheels for Mobility Car & Bike Show (Saturday, Aug 1, 10am–4pm at the Myra Museum/Grand Forks Historical Society) featuring a mobility-item drive, silent auction, food, and family activities. For more information or to volunteer, visit ampmotion.org or the Wheels for Mobility event on Facebook, call Shelby at 701-203-1483, or the studio at 701-213-0863. Sponsors mentioned include Valvoline Instant Oil Change and AFS Automated Financial Services.

To Sign up for our Patreon go to-> Patreon.com/cultofconspiracypodcastTo Find The Cajun Knight Youtube Channel---> click hereTo Find The Meta Mystics Spotify--> Click Herehttps://flavorsforest.com/cult/Become a supporter of this podcast: https://www.spreaker.com/podcast/cult-of-conspiracy--5700337/support.

What if your offense could consistently create 1 on 0's without relying on predetermined play calls? In this episode, I break down the Motion Offense, an advanced offensive system that has been used successfully for over 15 years at the collegiate level. Rather than relying on called plays, this system teaches players to read, react, and create offensive advantages based on pass location, spacing, and timing. In this episode, you'll learn: How the Motion Offense creates 1 on 0's opportunities without a play call. The three base positions that form the foundation of the offense. How middles, pipe hitters, and setters work together to create offensive advantages. Why spacing and "gap control" are critical to the system's success. The importance of reading pass location instead of memorizing set calls. The biggest challenges coaches face when implementing this offense. Why player development and organization are essential for executing the system at a high level. Whether you coach high school, club, college, or university volleyball, this episode will challenge the way you think about offensive systems and give you practical ideas for building a faster, more dynamic attack. Click here to join DVA and see this training live with video - www.digitalvolleyballacademy.com Click here to join DVA LIVE - www.volleyballworkshop.com Reach out via Instagram @BrianSingh_CoachB

President Donald Trump ramped up pressure Monday on Majority Leader John Thune, telling him to keep the Senate in session until GOP bills pass. TELL YOU SENATOR TO PASS CLARITY!➜https://bit.ly/SenatorCLARITY ~This episode is sponsored by Uphold~ Uphold Debit Card ➜ https://bit.ly/UpholdXRPCard GUEST: GUEST: Summer Mersinger, CEO, Blockchain Association Blockchain Association Website ➜ https://theblockchainassociation.org/ 00:00 intro 00:10 Sponsor: Uphold 00:40 Mike Novagratz: It's Passing? 01:40 CLARITY passage update 02:20 Do we have the 60 votes? 03:15 Countdown 04:00 Trump says no one leaves Senate? 05:50 CLARITY next steps? 06:50 Motion to proceed? 07:50 Does Polymarket have it wrong? 09:20 Banks last minute effort? 11:00 Did Banks give up? 12:10 JP Morgan: Loudest opposition is the community banks 13:00 Small banks vs Large banks 14:30 Anthony Scaramucci: Dems will vote against CLARITY to spite Trump 17:30 If CLARITY doesn't pass, how many more will shut down? 19:50 Call Senators Now #Crypto #CLARITY #Ethereum ~"No One Leaves" Senate Until CLARITY Passes?

700,000 Openings, 306,000 Workers & Smart Rooms Are Keeping Nurses from QuittingJuly 20th, 2026. Luke Carignan and ASHHRA Executive Director Jeremy Sadlier cover three stories connecting workforce math, program accountability, and the technology investment quietly becoming a retention strategy.

REDIFF - Paul Delair et Caroline Dublanche explorent un sujet délicat : le deuil sans émotion. À travers le témoignage de Martine, qui ne ressent rien après la perte de sa mère, l'émission soulève des questions essentielles sur les mécanismes de protection psychologique et les différentes façons de vivre un deuil. Pourquoi certaines personnes semblent-elles ne pas être affectées par la perte d'un proche ? Quels rôles jouent le déni et la protection émotionnelle ?Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

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The full moon in July marks one of the most important dates in the Buddhist calendar: Asalha Puja (Esala), the start of the Rains Retreat / Vassa for the Buddhist monastic Sangha, and the day when the Buddha delivered his first formal discourse, the Dhammacakkappavattana Sutta ('Discourse on Setting in Motion the Wheel of Dhamma'). This date is also known as 'Dhamma Day'. Ajahn Dhammasiha talks about the meaning of Vassa / Rains Retreat, and encourages us all to dedicate ourselves to enhanced practice for these three months. In particular, we can use the Four Noble Truths, as explained by the Buddha in his first formal teaching, for contemplation to: Fully understand suffering 'Dukkha' Abandon the cause of suffering, craving 'Taṇhā' Realise the end of suffering, throught the end of craving 'Dukkhanirodha = Nibbāna' Develop the Noble Eightfold Path in order to weaken and finally transcend all craving and sufferingDhammagiri Forest Hermitage:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.dhammagiri.net/news⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our email Newsletter:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.dhammagiri.net/newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Latest Photos⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://latest-pics.dhammagiri.net⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Youtube Channel:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@dhammatalksatdhammagiri8724#asalha #entryrainsretreat #dhammacakkapavattana #4nobletruths #buddha #buddhism #dhammatalk

Le Carnet de Maxime Blot "Devenir un Artisan Hôtelier" pour 39€ seulement !Fruit de plusieurs années d'expérience sur le terrain, ce carnet signé Maxime Blot, Meilleur Ouvrier de France, offre un regard affûté sur les enjeux actuels du service hôtelier.1️⃣ Présentation de l'invitée :Je crois que c'est mon premier épisode canadien. Mon invitée est une experte du SPA et de l'hôtellerie. Et du Ghostwriting ! Pour autant, ce n'est pas un fantôme, car Florence Kowalski est bien face à moi !Florence a un parcours professionnel riche et varié. Elle a commencé sa carrière dans le marketing et la communication avant de se spécialiser dans l'hôtellerie et le bien-être. Son expérience l'a menée à travailler dans des environnements aussi divers que les montagnes de Chamonix et les spas de luxe. Aujourd'hui, elle vit au Canada et continue de partager son expertise à travers le consulting et le ghostwriting, aidant les professionnels à développer leur marque personnelle et à optimiser leur stratégie de communication.À quoi sert un spa dans un hôtel ?Comment améliorer la rentabilité de votre spa ?Qu'est-ce qu'une bonne stratégie de contenu dans le secteur de l'hôtellerie et du bien-être ?Quels sont les conseils pratiques que les hôteliers indépendants peuvent appliquer dès maintenant ?Est-ce que la newsletter peut s'utiliser comme outil de fidélisation et de conversion ?Pourquoi définir clairement sa cible et créer du contenu, qui résonne avec elle, est essentiel ? Toutes les réponses dans notre échange !2️⃣ Notes et références :▶️ Toutes les notes et références de l'épisode sont à retrouver ici.Crédit photo : Quentin Creative Studio3️⃣ Le partenaire de l'épisode :HotelPartner Revenue ManagementPrendre un rendez-vous avec MarjolaineDites que vous venez d'Hospitality Insiders et Marjolaine se déplace gratuitement dans votre établissement pour effectuer un diagnostic !4️⃣ Chapitrage : 00:00:00 - Introduction00:02:14 - Le parcours de Florence00:08:52 - Analyse de la rentabilité dans l'hôtellerie vs les spas00:12:73 - Rentabilité des spas et conseil aux hôteliers00:27:16 - Stratégie de contenu et ghostwriting pour les hôteliers00:48:28 - Exemples de communication réussie au Canada00:51:30 - Le concept d'Omotenashi00:59:00 - Questions signaturesSi cet épisode vous a passionné, rejoignez-moi sur :L'Hebdo d'Hospitality Insiders, pour ne rien raterL'Académie Hospitality Insiders, pour vous former aux fondamentaux de l'accueilLe E-Carnet "Devenir un Artisan Hôtelier" pour celles et ceux qui souhaitent faire de l'accueil un véritable artLinkedin, pour poursuivre la discussionInstagram, pour découvrir les coulissesLa bibliothèque des invités du podcastMerci de votre fidélité et à bientôt !Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

A former Labor Minister and veteran Mike Kelly says he was appalled by a motion that saw the government's stance on Hamas removed.See omnystudio.com/listener for privacy information.

See omnystudio.com/listener for privacy information.

How did driving Uber lead to owning a McLaren? In this episode of Money Buys Happiness, entrepreneur Niroshan from  @Artinmotionautocareltd  chats about the unbelievable story behind building a multi-million dollar business, and the mindset that helped him rebuild from rock bottom.From driving Uber and cleaning cars to owning exotic supercars like a McLaren, Niroshan opens up about the biggest risks he took, the mistakes that nearly cost him everything, and what it really takes to become a successful entrepreneur.In this episode, we discuss:The story behind his McLarenHow driving Uber changed his lifeLosing $13 million and bouncing backBuilding a multi-million dollar business from scratchWhy he believes school doesn't create entrepreneursThe biggest business mistakes founders makeScaling a business using smart leverageThe mindset behind building long-term wealthWhy most people never become financially freeIf you're interested in entrepreneurship, business, side hustles, investing, wealth building, startups, supercars, luxury cars, self-made success, and the mindset of successful entrepreneurs, this episode is packed with lessons and stories you won't hear anywhere else.Use code "MBH5" at Mintink for a special discount from the boys:https://www.mintink.ca/?utm_source=moneybuyshappiness&utm_medium=collabCheck out NIRO:Niro IG: https://www.instagram.com/artinmotionautocare/ SHOP NEW MBH MERCH:https://mbhtv.com/collections/mbh-merchandiseSUBSCRIBE TO MBH SNAPCHAT: https://www.snapchat.com/@thembhpodcastSUBSCRIBE HERE: https://www.youtube.com/channel/UCcQijWgy0S1vyfPm_BhYNPwLISTEN ON:APPLE: https://podcasts.apple.com/ca/podcast/money-buys-happiness/id1513827461SPOTIFY: https://open.spotify.com/show/4DzyFZDvEHVT8ArGusePGs?si=38129137034440ecHOSTS INSTAGRAM:ERNESTO: https://www.instagram.com/Ernestogaita/ANTHONY: https://www.instagram.com/AnthonysorellaPODCAST: https://www.instagram.com/moneybuyshappiness

durée : 00:10:26 - Le masque et la plume - par : Charlotte Lipinska - C'est l'événement cinématographique de l'été : l'adaptation démesurée par Christopher Nolan du poème d'Homère. Entre admiration et réserves, les critiques du Masque et la plume se sont livrés à un échange animé sur ce blockbuster hors norme. - équipe : Stéphane Le Guennec, Ilinca Negulesco - invités : Christophe Bourseiller Journaliste France Inter et Transfuge , Florence Colombani Journaliste et critique cinéma (Le Point), Ariane Allard Journaliste pour le magazine Positif, Ava Cahen Journaliste à frenchmania.fr Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

A DIVA, A PIANO, A HOUSE TRACK – Pt. 1 In this episode of Turn The Beat Around, we dive into the golden age of 90s piano house — a decade when soaring vocals and bright piano riffs shaped the sound of the clubs. Across the hour, we revisit the anthems that lit up queer nightlife, the producers who pushed house music into the mainstream, and the stories behind classics like “Finally,” “Everybody Everybody,” and Lulu's triumphant “Independence.” It's a celebration of empowerment and the unmistakable sound of 90s piano house, delivered by the divas who brought the energy and sparkle. INDEPENDENCE Lulu 1993 (Brothers In Rhythm Mix) EVERYBODY, EVERYBODY Black Box 1990 (Love Unlimited Mix) SECRET LOVE Danni’elle Gaha 1993 AIN’T NO MAN Dina Carroll 1992 DO YOU WANT IT RIGHT NOW Degrees of Motion 1991 (King Street Edit) FINALLY CeCe Penistion 1991 (Choice Mix) TOO BLIND TO SEE IT Kym Sims 1991 TOO MANY FISH Frankie Knuckles and Adeva 1995 The post TTBA Replay 24JUL2026 Pt. 1 appeared first on Turn the Beat Around.

Send us Fan MailGod corrected us and redirected us onto a path that has and is requiring bold, audacious faith and radical obedience to Him. Come listen as I throw the curtains wide open to our household and see God work!  Support the showChelsey Holm | the Wife Coach "I lead Christian wives  to become TENDER, TENACIOUS & TAKING BACK TERRITORY the enemy has stolen. To live by God's design in marriage through right order, repentance & radical obedience.First step? Grab the 30 Day Guide: War Room RESET: daily action to regulate, realign, and reconnect. 

Paul Schliep closed out our Faith in Motion series through the book of James, by helping us understand the remainder of James 5, culminating in James' pastoral heart for God's people.To learn more visit thebridgebiblechurch.com.

Thanks for tuning in to this edition of RealAg on the Weekend! On today's show, host Shaun Haney shares interviews captured at the Ag in Motion outdoor show near Saskatoon, Saskatchewan. Hear from: Senator Todd Lewis, producer from Grey, Saskatchewan, on local crop conditions and the Halifax FPT meeting outcomes Trevor Scherman, producer from the... Read More

This week on America on the Road, Jack Nerad reports on his early drive of the all-new 2027 Kia Seltos X-Drive SX, and co-host Chris Teague evaluates the overlanding-focused 2026 Toyota 4Runner Trailhunter. The pair also cover a full slate of automotive news and present an exclusive conversation with Kia North America marketing chief Russell Wager. In the news and comment department, Jack and Chris offer new vehicle-theft prevention advice, detail the updated Toyota Corolla Hatchback, and discuss Bill Ford's calls for stronger U.S. competition with Chinese automakers. In addition, they dive into the leadership changes at Ram and Jeep, California's controversial and gerrymandered new EV rebate rules, and the redesigned Volkswagen Atlas.

Trump is back at abusing his Sex Abuse Survivor and courageous Plaintiff E Jean Carroll again, filing a last minute, bad faith “emergency” motion with the Second Circuit to allow him to clawback the $5.8 million he was forced to pay her for sexually abusing her and was paid to her on July 9, while he continues to try to get the Supreme Court to reverse themselves and bail him out. Qualia Magnesium: Go to https://QualiaLife.com/legalaf for up to 50% OFF! Pre-order the new book from MeidasTouch, WTF America?!: The Way Out of This Hell and Back to Democracy, today: https://bit.ly/wtfamericayoutube Visit https://meidasplus.com for more! Remember to subscribe to ALL the MeidasTouch Network Podcasts: MeidasTouch: https://www.meidastouch.com/tag/meidastouch-podcast Legal AF: https://www.meidastouch.com/tag/legal-af MissTrial: https://meidasnews.com/tag/miss-trial The PoliticsGirl Podcast: https://www.meidastouch.com/tag/the-politicsgirl-podcast Cult Conversations: The Influence Continuum with Dr. Steve Hassan: https://www.meidastouch.com/tag/the-influence-continuum-with-dr-steven-hassan The Weekend Show: https://www.meidastouch.com/tag/the-weekend-show The Ken Harbaugh Show: https://meidasnews.com/tag/the-ken-harbaugh-show Majority 54: https://www.meidastouch.com/tag/majority-54 On Democracy with FP Wellman: https://www.meidastouch.com/tag/on-democracy-with-fpwellman Uncovered: https://www.meidastouch.com/tag/maga-uncovered Learn more about your ad choices. Visit megaphone.fm/adchoices

Tyler Robinson's defense asked Judge Tony Graf to immediately prohibit prosecutors and investigators from conducting any additional testing on a bullet-jacket fragment recovered during Charlie Kirk's autopsy until the court resolves the dispute. The defense argued that further forensic work could permanently alter, consume, or destroy the fragment, preventing its experts from independently evaluating its condition and evidentiary value. Robinson's attorneys requested that a defense firearms expert first be allowed to examine and photograph the fragment. As alternatives, they asked that their expert be permitted to observe any additional testing or that the entire process be video-recorded so the defense can later scrutinize exactly what was done.The motion was filed after an ATF examination was unable to conclusively identify the damaged bullet fragment as having been fired from the rifle attributed to Robinson. The result was inconclusive rather than an exclusion, meaning the fragment did not contain enough usable markings to either match it to or rule it out as having come from the rifle. With the FBI reportedly planning additional comparative and lead analysis, the defense maintained that basic fairness and Robinson's right to challenge the prosecution's evidence required preserving the fragment before potentially destructive testing occurred. The motion does not ask the judge to declare the evidence exculpatory; it seeks to ensure that the defense has a meaningful opportunity to inspect and document the evidence before its original condition is changed forever.to contact me:bobbycapucci@protonmail.comsource:tyler-robinson-ballistics-motion.pdf

Tyler Robinson's defense asked Judge Tony Graf to immediately prohibit prosecutors and investigators from conducting any additional testing on a bullet-jacket fragment recovered during Charlie Kirk's autopsy until the court resolves the dispute. The defense argued that further forensic work could permanently alter, consume, or destroy the fragment, preventing its experts from independently evaluating its condition and evidentiary value. Robinson's attorneys requested that a defense firearms expert first be allowed to examine and photograph the fragment. As alternatives, they asked that their expert be permitted to observe any additional testing or that the entire process be video-recorded so the defense can later scrutinize exactly what was done.The motion was filed after an ATF examination was unable to conclusively identify the damaged bullet fragment as having been fired from the rifle attributed to Robinson. The result was inconclusive rather than an exclusion, meaning the fragment did not contain enough usable markings to either match it to or rule it out as having come from the rifle. With the FBI reportedly planning additional comparative and lead analysis, the defense maintained that basic fairness and Robinson's right to challenge the prosecution's evidence required preserving the fragment before potentially destructive testing occurred. The motion does not ask the judge to declare the evidence exculpatory; it seeks to ensure that the defense has a meaningful opportunity to inspect and document the evidence before its original condition is changed forever.to contact me:bobbycapucci@protonmail.comsource:tyler-robinson-ballistics-motion.pdf

We are pleased to continue our COBT California Summer Series with today's episode featuring Martin Viecha, Founder and Advisor at MV Motion Advisory. Prior to founding MV Motion, Martin served as the Vice President of Investor Relations at Tesla and previously spent several years as a sell-side equity research analyst covering the automotive and technology sectors. Based in Palo Alto, MV Motion is focused on robotaxis and autonomy, humanoid robots, and the evolving automotive landscape. We were delighted to host Martin for a wide-ranging discussion on the technologies shaping the future of transportation, robotics, and AI. In our conversation, Martin provides a comprehensive overview of the rapidly evolving autonomous vehicle and humanoid robotics landscape. We discuss why he believes robotaxis are approaching a mainstream adoption inflection point, transitioning from a Silicon Valley novelty to a service that will soon be available across much of the U.S. He explains why California, Texas, and Florida have emerged as leading deployment markets, how expanding permitting and improving safety records are accelerating adoption, and why safety, utilization rates, and cost per mile will ultimately determine the industry's winners. We explore Tesla's camera-only autonomous driving approach versus Waymo's multi-sensor strategy and the long-term implications for automakers, ride-hailing platforms, insurance, and vehicle ownership. We examine China's growing leadership in EVs and robotics, the enormous long-term potential for humanoid robots, the significant technical hurdles that remain around dexterity, world models, and data collection, and why geopolitics, national security, and public policy are likely to play an increasingly important role in shaping the future of advanced robotics and AI. Martin outlines why, despite the excitement surrounding humanoid robots, they remain considerably further from widespread commercialization than robotaxis due to the vastly greater complexity of replicating human movement and decision-making. It was a fascinating discussion. We look forward to staying connected with Martin and continuing to follow his research. To start the show, Mike Bradley noted that the next three to four weeks will be dominated by second-quarter earnings reports. From a fixed income perspective, U.S. Treasury yields have continued to trend higher, driven in part by rising energy prices and their inflationary impact. The S&P 500 was up modestly on the day, gaining roughly 0.25%. In commodities, Brent crude oil rose approximately $2/bbl to around $94/bbl amid ongoing tensions in the Middle East. President Trump also formally approved a landmark agreement with Saudi Arabia to support the development of a civilian nuclear program in the kingdom, potentially opening the door to uranium enrichment activities there. In energy and power equities, GE Vernova (GEV) shares fell approximately 8% following earnings as the company fell short of highly elevated investor expectations despite reporting solid gas turbine performance and providing robust forward guidance. In contrast, Weatherford International (WFRD) shares rose as much as 9% after delivering strong quarterly results and a more optimistic outlook for the second half of 2026 than the market had anticipated. With equity markets trading near all-time highs and quarterly and second-half 2026 expectations remaining extremely elevated for many companies, Mike noted that the next three to four weeks of earnings reports could generate significant market volatility. Ellen Wilkirson also joined the discussion and peppered in her technology questions and perspectives. 

Tyler Robinson's defense asked Judge Tony Graf to immediately prohibit prosecutors and investigators from conducting any additional testing on a bullet-jacket fragment recovered during Charlie Kirk's autopsy until the court resolves the dispute. The defense argued that further forensic work could permanently alter, consume, or destroy the fragment, preventing its experts from independently evaluating its condition and evidentiary value. Robinson's attorneys requested that a defense firearms expert first be allowed to examine and photograph the fragment. As alternatives, they asked that their expert be permitted to observe any additional testing or that the entire process be video-recorded so the defense can later scrutinize exactly what was done.The motion was filed after an ATF examination was unable to conclusively identify the damaged bullet fragment as having been fired from the rifle attributed to Robinson. The result was inconclusive rather than an exclusion, meaning the fragment did not contain enough usable markings to either match it to or rule it out as having come from the rifle. With the FBI reportedly planning additional comparative and lead analysis, the defense maintained that basic fairness and Robinson's right to challenge the prosecution's evidence required preserving the fragment before potentially destructive testing occurred. The motion does not ask the judge to declare the evidence exculpatory; it seeks to ensure that the defense has a meaningful opportunity to inspect and document the evidence before its original condition is changed forever.to contact me:bobbycapucci@protonmail.comsource:tyler-robinson-ballistics-motion.pdfBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-epstein-chronicles--5003294/support.

Tyler Robinson's defense asked Judge Tony Graf to immediately prohibit prosecutors and investigators from conducting any additional testing on a bullet-jacket fragment recovered during Charlie Kirk's autopsy until the court resolves the dispute. The defense argued that further forensic work could permanently alter, consume, or destroy the fragment, preventing its experts from independently evaluating its condition and evidentiary value. Robinson's attorneys requested that a defense firearms expert first be allowed to examine and photograph the fragment. As alternatives, they asked that their expert be permitted to observe any additional testing or that the entire process be video-recorded so the defense can later scrutinize exactly what was done.The motion was filed after an ATF examination was unable to conclusively identify the damaged bullet fragment as having been fired from the rifle attributed to Robinson. The result was inconclusive rather than an exclusion, meaning the fragment did not contain enough usable markings to either match it to or rule it out as having come from the rifle. With the FBI reportedly planning additional comparative and lead analysis, the defense maintained that basic fairness and Robinson's right to challenge the prosecution's evidence required preserving the fragment before potentially destructive testing occurred. The motion does not ask the judge to declare the evidence exculpatory; it seeks to ensure that the defense has a meaningful opportunity to inspect and document the evidence before its original condition is changed forever.to contact me:bobbycapucci@protonmail.comsource:tyler-robinson-ballistics-motion.pdfBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-epstein-chronicles--5003294/support.

Welcome and thanks for tuning in to RealAg Radio with your host Shaun Haney, brought to you by Pioneer Seeds Canada! Today, Shaun is live from Ag in Motion just outside of Saskatoon for the Farmer Rapid Fire. Hear from Jesse Meyer, Trevor Sherman, Jim Hale, Todd Lewis, Franck and Luke Groeneweg, and Devon Walker.... Read More

Send us Fan MailWhat happens when one moment changes the direction of your life—and you must decide how you are going to move forward?On July 20, 2017, Matthew Fumo dove into shallow water while swimming with friends near the Longport Bridge in Ocean City, New Jersey. He struck his head on the bottom, sustained a C4 spinal cord injury, and was paralyzed from the shoulders down. He was told he could remain on a breathing tube for up to three years and would never move anything below his neck again.But Matt's story did not end with what he was told.In today's episode, Matt and his sister, Julia Fumo, share the realities of that day, the long and continuing road of recovery, and what the experience taught their entire family about resilience, hope, support, and moving forward.Today, Matt is president of Unbroken Motion, and Julia serves as secretary. Together, they are building a community to support individuals living with spinal cord injuries and the families walking beside them.Learn more, get involved, or support their mission at UnbrokenMotion.org, and follow @UnbrokenMotion on Facebook and Instagram.Before we begin, please download and follow the Today is the Day Changemakers Podcast wherever you listen to podcasts, and subscribe to the Today is the Day Changemakers YouTube channel.You can also follow Today is the Day Live It on Facebook and Instagram. Please like, comment, and share. Every interaction helps us bring these powerful stories to more people around the world.Today is the Day. LIVE IT! — Edge of Comfort to Center of Impact, is available through Amazon, Barnes & Noble, Walmart, and Target online. If you are sitting at the edge of a decision or unsure how to move forward read what 31 authors from across the U.S. and Uganda have to share.#spinalcord #spinalcordinjury #motion #TodayistheDay #Changemakers #ocean #surfing #watersafety #family #community #healing #mindset #connectionSupport the show

Continuing our series through the Gospel of Mark, Engaged Member Walton Yuen walks us through ministering through becoming like Jesus.

Fulton v. Mullin, et al., No. 25-194 (2d Cir. July 14, 2026)habeas; release pending appeal; Mapp; end stage renal disease Matter of N-E-R-S-, 29 I&N Dec. 753 (BIA 2026)ACA with Ecuador; implementing agreement; interlocutory appeal Matter of E-A-R-M-, 29 I&N Dec. 746 (BIA 2026)IJs cannot consider anything when DHS makes an asylum pretermission motion based on ACA with Ecuador; DHS failure to comply with IJ scheduling order Matter of L-R-M-C- & V-A-M-M-, 29 I&N Dec. 757 (BIA 2026)Lozada compliance; ineffective assistance of counsel; requirement to provide contents of bar complaint and proof of filing Matter of Lopez-Davila, 29 I&N Dec. 763 (BIA 2026)exceptional and extremely unusual hardship; Ige presumption that child will join parent abroad; foster care not bad enough; nonparent can care for child Burey v. Blanche, No. 25-1869 (4th Cir. July 14, 2026)VAWA motion to reopen deadline; ECAS and filing window rejection; failure to file I-360 before moving to reopen not fatal; attorney affidavit; deadline to file motion to reopen possible begins after appeal period ends Flores-Turcios v. Blanche, No. 24-1338 (4th Cir. July 16, 2026)nexus; gang recruitment; extortion; CAT review – fact and law; Guatemala Montesinos Cisneros v. Blanche, No. 23-1090 (4th Cir. July 17, 2026)admitted in any status; LPR cancellation of removal; DED; admission; statutory interpretation; lawful and unlawful statusKurzban Kurzban Tetzeli and Pratt P.A.Immigration, serious injury, and business lawyers serving clients in Florida, California, and all over the world for over 40 years.eimmigration"Immigration law software you'll love to use."get.eimmigration.com/IRP Gonzales & Gonzales Immigration BondsP: (833) 409-9200immigrationbond.com Stafi"Remote staffing solutions for businesses of all sizes"Click me!Want to become a patron?Click here to check out our Patreon Page!CONTACT INFORMATION:Email: kgregg@kktplaw.comFacebook: @immigrationreviewInstagram: @immigrationreviewTwitter: @immreviewAbout your hostCase notesRecent criminal-immigration article (p.18)Featured in San Diego VoyagerSupport the show

In this episode, Jim Garrity explains the procedure for deposing current or former federal government employees where the federal government isn't a party to your litigation. These are commonly known as 'Touhy witnesses." And if they're important to your case, you'd better plan for their deposition very carefully. Garrity also discusses the importance of a strong backup plan, because many such deposition requests are denied by the employing agency. Important stuff to know! And great resources in the show notes, below.SHOW NOTESBecton Dickinson and Company, et al. v. United States Department of Health and Human Services et al., No. CV-26-02379-PHX-KML, 2026 WL 2042420, --- F. Supp. 3d --- (D. Ariz. July 13, 2026) (denying request for declaratory and injunctive relief against U.S. Department of Health and Human Services in APA action to force HHS to produce certain federally-employed treating physicians for deposition)Complaint for Declaratory and Injunctive Relief [CM/ECF Doc. 1] Becton Dickinson and Company, et al. v. United States Department of Health and Human Services et al., CM/ECF Doc. 1, No. CV-26-02379-PHX-KML, (D. Ariz. filed April 6, 2026) (alleging claim for violation of the Administrative Procedure Act, on the grounds of alleged arbitrary and capricious agency action, where federal agency refused to produce subpoenaed witnesses for deposition)Motion for Preliminary Injunction [CM/ECF 12] in Support of Complaint for Declaratory and Injunctive Relief, Becton Dickinson and Company, et al. v. United States Department of Health and Human Services et al., No. CV-26-02379-PHX-KML, (D. Ariz. July 13, 2026) (motion seeking order setting aside HHS' denial of Plaintiffs' Touhy request as arbitrary, capricious, contrary to law, and in excess of delegated authority; requiring Defendants to authorize the depositions of Dr. Matthew Cusick and Dr. John Young within fourteen days, subject to reasonable limitations, including remote appearance, a limited duration, government counsel's attendance, and restriction to nonprivileged factual testimony concerning Dr. Cusick and Dr. Young's firsthand knowledge of Ms. Vincent's care, including any device warnings and information available to Dr. Cusick; alternatively, remanding the matter to Defendants with instructions to reconsider Plaintiffs' narrowed request within seven days under the governing regulation and IHS Delegation Memo and to provide a reasoned written decision addressing Plaintiffs' need, unavailability, proposed limitations, and any specific disruption to IHS duties; ordering expedited production of the administrative record and expedited briefing as necessary to resolve this motion before the state-court trial; and granting such other relief as the Court deems just and proper)Response in Opposition to Motion for Preliminary Injunction [CM/ECF Doc. 1], Becton Dickinson and Company, et al. v. United States Department of Health and Human Services et al., No. CV-26-02379-PHX-KML, (D. Ariz. Filed June 24, 2026)Exxon Shipping Co. v. U.S. Dep't of Interior, 34 F.3d 774 (9th Cir. 1994) (treating request for depositions of current or former federal employees like any other discovery request)https://oig.ssa.gov/touhy-requests/ (page for Touhy requests to Social Security Administration)https://www.ecfr.gov/current/title-45/subtitle-A/subchapter-A/part-2 (Health & Human Services Touhy Regulations)28 C.F.R. § 16.21 (Department of Justice's Touhy regulations)Covington, Ben, Closing The Touhy Gap: The APA, The FRCP, And Nonparty Discovery Against Federal Administrative Agencies, https://columbialawreview.org/content/closing-the-touhy-gap-the-apa-the-frcp-and-nonparty-discovery-against-federal-administrative-agencies/ (noting an apparent and significant difference in Touhy request successes depending on where the action was filed, not on the merits of the request)