Podcasts about VM

Three months ago Dwarkesh, who has been posting incredible blogs and episodes about RL, posted a framing question for his video essay on RLVR which upset a lot of Computer Use folks:We are no strangers to learning in public and are no strangers to the stress of getting things wrong when you have a big platform. However, we were at Anthropic for the Computer Use launch, there for Claude Cowork with the first big podcast on it, organized the first Computer Use track at AIE presenting the state of the art, and were close to the OpenAI-Sky Software acquisition that now powers the complete domination of computer use that Codex enjoys today. This is why we're excited to bring you today's first guest, Ari Weinstein, cofounder of Sky and now leading all the amazing CUA progress that casuals might miss:Ari explains why Computer Use is now “180 degrees different” from where it was months ago, how agents are learning to debug and recover from failures, why combining screenshots with accessibility data, the DOM, Playwright, and generated code changes the speed equation, and why the next frontier is making agents literally superhuman at using software.OpenAI clones JevIn the second half, Nikunj Handa from OpenAI's API team breaks down the new developer stack: async tool calling, mid-turn steering, WebSockets, UltraFast inference, the Decisions API, prompt caching, pre-warming, compaction, and the Agents API. Given that we were the first Jev podcast, we particularly focus on the unusually fast sprint on the Decisions API:And why it is just a Luna wrapper for now but the team is motivated and egoless enough to clone what they consider to be good patterns.We discuss:* Why OpenAI thinks Computer Use has changed dramatically in just the last few months* Dots and what changes when every agent gets its own Linux computer* Why Computer Use can now complete some tasks faster than the average human* The path from human-level to “literally superhuman” computer use* Why modern agents are much better at debugging and recovering from failure* How screenshots, accessibility trees, the DOM, Playwright, and generated JavaScript work together* App Shots and why they give models much richer context than ordinary screenshots* Why Computer Use can close the loop between writing software and testing it* Trust, permissions, and safety when agents can make payments and operate websites* Async function calling and why models no longer need to stop reasoning while tools run* Mid-turn steering, WebSockets, and the architecture behind more responsive agents* UltraFast inference and how OpenAI is pushing frontier models toward much lower latency* The rapid internal story behind the Decisions API* Why Decisions API is more than structured outputs at low latency* GPT Live, fast tool calling, and real-time computer control* How OpenAI is already using Decisions API for support classification and internal workflows* Longer prompt caching, cache pre-warming, and cache-aware applications* Server-side compaction vs manual compaction for long-running agent threads* What should live inside an Agents API versus a developer's own harness* OpenAI as an “AI cloud” and the search for higher-level primitives beyond raw model APIsAri Weinstein* Product & Engineering, Computer Use at OpenAI* X: https://x.com/AriX* LinkedIn: https://www.linkedin.com/in/weinsteinari/Nikunj Handa* Product, API at OpenAI* X: https://x.com/nikunjhanda* LinkedIn: https://www.linkedin.com/in/nikunjhanda/Timestamps00:00:00 OpenAI DevDay: Dots, GPT-6.1, Agents API, and Decisions API00:02:52 Dots and Personal Cloud Computers00:04:59 Why Computer Use Is “180 Degrees Different”00:06:04 From Sky to Self-Debugging Computer Use Agents00:09:24 How Computer Use Sees and Operates Software00:12:09 From Faster Than Humans to Superhuman Computer Use00:16:03 Agents API: Trust, Permissions, and Safety00:17:31 Computer Use for Coding, Testing, and QA00:19:14 GPT-6 APIs, Async Tool Calling, and UltraFast Inference00:23:21 The Rapid Story Behind Decisions API00:25:32 What Decisions API Is and How It Works00:30:24 What OpenAI Is Building With the New APIs00:32:23 Prompt Caching, Pre-Warming, and API Performance00:35:20 Context Compaction for Long-Running Agents00:37:13 Memory, Higher-Level APIs, and the AI CloudTranscriptIntroduction: OpenAI DevDay and the New Agent StackVibhu [00:00:00]: Okay. We're very excited to be here. Today is OpenAI DevDay. Special podcastSwyx [00:00:08]: We're the first podcast after your livestream.Vibhu [00:00:10]: First podcast. We have Ari here, who leads the product and engineering team for Computer Use agents. Before we kick in and dive deep on Computer Use, you wanna give a quick recap? What was announced? What's the quick slew of announcements you guys had today?Ari Weinstein [00:00:24]: Yeah. yeah, it was a super exciting day. we just got out of the keynote. It was really sick. there were a bunch of Computer Use announcements that I think are worth thinking about. We have, Dots, which is the new, sort of personal assistant product, and, that has some really exciting Computer Use features. There's GPT-6.1 Sol, which is this amazing new model, that I think is particularly great for Computer Use ‘cause of, sort of the cost and speed, advantages. I think, I think we shared that it's, a fifth of the cost of Astra and a seventh of the cost if you're looking at Computer Use specifically, which is really amazing. sorry, there were so many things. I'm trying to sort through it.Swyx [00:01:02]: And the API.Ari Weinstein [00:01:03]: Agents API, which now has Computer Use in it, which is really cool, ‘cause now developers can build on the same Computer Use, that is part of Codex, and ChatGPT. and then there were some demos of our existing Computer Use features, like app shots, where you can take the context of something you're doing on your computer and bring it into Codex and ChatGPT really fast. And then, like, native Computer Use on your Mac, where Roman had it taking screenshots of his app, automatically, and he could do other things on his computer while Computer Use was using his applications. so yeah, really exciting keynote.Swyx [00:01:35]: And not to mention the Decisions API.Ari Weinstein [00:01:37]: Decisions API.Swyx [00:01:38]: Off the bat, are they all the same model? Like, this is. Or the same dataset distilled to different models?Swyx [00:01:44]: Like, basically, like, is Computer Use using Decisions API, or are they, like, kinda separate?Ari Weinstein [00:01:49]: So what's really cool about the Decisions API is it, you know, it has all these new capabilities. It does inference in parallel. it doesn't have reasoning. It's a smaller model, than the ones we use for Computer Use. and so those capabilities make it really fast.Dots and Delegating Work to a Cloud ComputerSwyx [00:02:07]: Yeah.Ari Weinstein [00:02:07]: They also make it a little bit less good at doing, like, long horizon, sort of sophisticated tasks. And so I think I would say it's still an open area of research for how we, like, bring those approaches together. But, yeah, I'm really excited to see what people build with the Decisions API.Vibhu [00:02:24]: One of the interesting things is Dots now have attached personal computers.Ari Weinstein [00:02:28]: Yeah.Vibhu [00:02:28]: So it seems like they're very much more persistent. You've been using them for a while. How should people push the bounds? Like, what should people aim for? What should they try? Personally, right now I use it for a lot of customer service. LikeAri Weinstein [00:02:41]: CoolVibhu [00:02:41]: “Oh, this was wrong. I don't wanna sign in. I don't wanna authenticate.” Find whatever and just get it fixed.Ari Weinstein [00:02:45]: Yeah.Vibhu [00:02:46]: How should we push further? What should people try?Ari Weinstein [00:02:50]: Dots Are a really cool product because each Dot has access to its own Linux virtual computer in the cloud, which is different from our other products. you know, traditionally, we've have access to a browser in the cloud, or it has access to your own computer, but now you get your own entire Linux computer in the cloud. And so it can run full desktop applications, and it can also use a web browser. And so, yeah, you know, I think the powerful thing about Computer Use and the reason why I think it's so, exciting is because it makes it so that the agent can do anything you as a, as a person can do, because all the software in the world was designed for humans, and now agents can use that same software, and you can delegate to the agent. So, yeah, like, anything that you would do on a computer, you can ask a Dot to do. Yeah, I think what particularly is useful is gonna really depend on who the end user is and what- what's valuable in their life. but yeah, I would just start by thinking about, like, one of the things that you spend time on and how could you delegate those to an agent.Swyx [00:03:47]: Yeah, a lot of flight booking and shopping and honestly even, like, playing a game or whatever, right?Ari Weinstein [00:03:52]: Totally.Swyx [00:03:52]: Yeah.Ari Weinstein [00:03:53]: Yeah, I don't know. For me, something I did recently, I've been working on. I've, subscribed to a meal prep service ‘cause I was trying to, like, eat healthy, you know? And I really like this meal prep service I found because it lets me customize the meals I order to, like, a high degree of granularity. So I can say, like, “I want this many grams of chicken and this many grams of rice.” but it was so complicated. It took me two hours to do an order, and I found that I could ask Computer Use to do it for me, and it did it in 15 minutes. so I actually saved two hours. it both did it eight times faster than I could, and it saved me two hours on GPT-6.1 Sol.Swyx [00:04:32]: Yeah.Ari Weinstein [00:04:32]: So those are the kinds of tasks that I feel like, are really powerful.Swyx [00:04:36]: As a creator, I can tell you automatically, immediately, my number one use case is automating YouTube.Ari Weinstein [00:04:40]: Nice.Swyx [00:04:40]: Because, YouTube doesn't expose a lot of things via API.Ari Weinstein [00:04:43]: Yeah.Swyx [00:04:43]: And you have to just put it in a VM and just, like, run it, for, like, let's say, let's say their AB testing feature or making community posts. None of this is available by API ‘cause they hate developers.Swyx [00:04:53]: Anyway, so,Ari Weinstein [00:04:55]: I've heard that from our developer experience team too. They use it with YouTube a lot. Yeah. It's really awesome.Swyx [00:04:59]: So I wanna draw for, you know. let's say, I wanna get a little bit spicy. One of our, the leading AI podcasts, our friends, is famous for saying that Computer Use hasn't advanced in the last two years.How Computer Use Has Changed in the Last YearAri Weinstein [00:05:12]: Yeah.Swyx [00:05:13]: Which is a very interesting statement, and I think you're one of the best people in the world to talk about this, like, how have things have progressed, right?Ari Weinstein [00:05:20]: Yeah. You know, they said that a few months ago, I think, and I hope they have a different perspective now because Computer Use is, like, 180 degrees different than it was.Swyx [00:05:26]: He's a, he's a tough guy to impress.Ari Weinstein [00:05:27]: Yeah, okay. well, we're working on it.Swyx [00:05:30]: But, you know, you worked on. You've, like, basically spent your whole career working on, like, some kind of computer automation, right?Ari Weinstein [00:05:34]: Yeah.Swyx [00:05:34]: Like shortcutsAri Weinstein [00:05:35]: YeahSwyx [00:05:35]: At Apple, and then Sky, and then, and then joining OpenAI. Can you draw, like, what your through line is for, like, what is driving you and what- you, what wasn't possible back then maybeAri Weinstein [00:05:47]: Yeah.Swyx [00:05:48]: And, like, what your sort of milestones were.Vibhu [00:05:49]: I guess to add on to that as a follow-up question, what's the major change from using Codex Computer Use from, like, last weekAri Weinstein [00:05:57]: YeahVibhu [00:05:57]: Through to today? Is it model? Is it dots? Is it harness? So all the history plus what really just changed in today's announcements?Ari Weinstein [00:06:04]: Yeah. On the through line, I guess I've always been excited about automation and helping people automate tasks because then you can, like, save time in your life and focus on things that are more important to you than, like, operating a computer very intricately. And so, yeah, that was why we worked on some of those products. I was at Apple before. we made a company called Sky. we ended up joining OpenAI, which is really exciting. and I think something that wasSwyx [00:06:27]: And almost like you have to hack around Apple until Apple was like, “Fine, like, we'll just hire you and you can just work on the inside,” right? Like.Ari Weinstein [00:06:35]: It was, it was a cool place to get to work. what was really interesting looking back at Sky is we were, we were working on Computer Use there as well, and the models were so much less capable. And now the models, just in the last one year, have become extraordinarily capable at Computer Use. I think the biggest delta that I see is before they could, like, reliably start tasks, but then they would run into problems, and now they're really good at debugging. They're really good at trying again, introspecting what is and isn't working. and I think we've also brought the Computer Use the Computer Use field itself has moved forward. I think we're using more techniques. now Computer Use, often writes code. So if you actually look at it in Codex and you expand the tool calls manually, you can see that it's not just doing one action at a time. It's actually writing JavaScript code that it executes, that the computer executes to perform sometimes many actions at once, which is a great, you know, speed up and great capability. We use more accessibility, sort of multimodal interfaces. So, the model may use screenshots, it may use accessibility, it may use Playwright. it can use a lot of different mechanisms, based on the task at hand. and then, yeah, the model acceleration has been, has been just amazing. So, yeah, what's different today? I think we're making computers better all the time, so I think just, like, one day's difference, is probably a little bit less consequential than, like, even the past month or the past two months. but, yeah, I think the Computer Use in Dot is really exciting as well as, the new model that we came out with.Measuring Computer Use and Improving the HarnessVibhu [00:08:03]: On the keynote, Tejal was mentioning 7x improvements in Computer Use speed, a lot better on a few benchmarks. How do you guys think about measuring it? Computer Use is one of those things where, as you say, you know, it's improvements over time.Ari Weinstein [00:08:20]: Yeah.Vibhu [00:08:20]: Is it harness? Is it model? Is it post-training?Ari Weinstein [00:08:22]: Right.Vibhu [00:08:22]: How do you guys look at it internally about measuring how good it is, and what were the changes with the new model?Ari Weinstein [00:08:29]: We actually have a bunch of different ways of measuring it, some of which are on different permutations and configurations of the harness. It's a bit of a complicated story because, you know, our production products have, you know, some more safety checks, and, you know, those are configured differently based on the needs of the, of the task at hand. So there's a lot of ways to measure it, but I think regardless of how we measure it, we find pretty consistent gains. and those gains are, sometimes in the harness and sometimes in the model. and yeah, I was really excited by this result that GPT-6.1 is even more cost-effective for Computer Use than its baseline cost improvement as compared to Astra. It's, like, really cool to see.Swyx [00:09:10]: Yeah. I mean, one of the visuals I really liked from the livestream was that, you're sort of improving the Pareto frontier of, your, curve, and there was a lot of talking about how you're improving it together with the harness.Ari Weinstein [00:09:24]: Yeah.Swyx [00:09:24]: Can you give some examples of aha moments that you had, whether it's on, like, model driving the harness driving the model, whatever?Ari Weinstein [00:09:32]: I don't mean to repeat myself, but I think, like, introducing more modalities has been really powerful.Swyx [00:09:36]: Okay.Ari Weinstein [00:09:36]: One more specific example of that is, in the past, I think we saw a lot of Computer Use, products had to spend a lot of time, like, scrolling, you know? So it would, like, take a screenshot. It would try to do something. It would be like, “Oh, I gotta, like, scroll down to the next page of results,” and then it would take a screenshot, and then it would try to do something. It would scroll down again. And so I think, with accessibility and other. and, direct access to the DOM and other things like that, now the language model can actually see, like, an entire page or an entire application. It can write code that can do multiple steps at once. And so I think those have been probably the biggest single aha moments. There's, like, a lot of tiny ones that are less exciting in comparison, but actually we do find also that a lot of speed improvements are driven by, like, a lot of little paper cuts that we gotta go in and introspect.App Shots, Accessibility, and Better Computer ContextSwyx [00:10:21]: Yeah. A lot of really hard engineering.Ari Weinstein [00:10:23]: Yeah.Swyx [00:10:23]: I mean, app shots in general, right? Like, I think people don't quite get the difference if. because there's, like, a nice visual in Codex when itAri Weinstein [00:10:30]: YeahSwyx [00:10:30]: When you take an app shot, but they don't maybe they get the difference that, you are able to actually drive each button and you have the, you have each text, in a very optimal representation.Ari Weinstein [00:10:40]: Yeah. Exactly. Yeah. It's kind of fun actually. If you wanna be, like, really nerdy about it, you can go into Codex, take an app shot by hitting the two command keys. So you grab the content from whatever app you're working with, bring it into the, Codex or ChatGPT chat. And then the. if you click on the attachment and you click on this, like, little tiny button in the top right, you can see the raw text and you see the raw accessibility representation. And yeah, we've put a lot of work into, puttingSwyx [00:11:04]: Just dumping everything out. Yeah.Ari Weinstein [00:11:05]: Dumping it out, but also making it token-efficient, doing it efficiently. There's, like, a bit of an art to it. And, you know, it turns out that the same technology that was invented for humans, you know, who maybe have accessibility needs, who wanna use a screen reader technology, that technology is really helpful for them to be able to use computers. It's also really helpful for LLMs to be able to use computers. So that's been, like, really fun to get to work on.Vibhu [00:11:27]: For context, I feel like a lot of people don't understand app shots. They don't even know it's a feature.Ari Weinstein [00:11:30]: Yeah.Vibhu [00:11:31]: It's when you double hit command, it pulls in what looks like a screenshotAri Weinstein [00:11:34]: RightVibhu [00:11:34]: And you're like, “Oh, why have I opened up just a screenshot and thrown it in?” No, it's actually pulling all the metadata, all the code, everything.Ari Weinstein [00:11:40]: Yeah, exactly. Yeah. So it's like, you know, if you take a screenshot of a webpage that has a link- The screenshot doesn't include where the link goes. It doesn't include, you know, maybe you take a screenshot of your calendar, the ca- event ti- titles are truncated, you know? But when you take an app shot, it gives, like, the language model, like, full context about everything and, that lets it, just sort of, like, do much more.Swyx [00:12:02]: Yeah. For those who wanna see more, Jason Liu, I invited him to do a full workshop on this, at AI Engineer.Ari Weinstein [00:12:07]: Amazing.Swyx [00:12:08]: Did a great job.Vibhu [00:12:09]: I have a broader vision questionToward Superhuman Computer UseAri Weinstein [00:12:11]: YeahVibhu [00:12:11]: On Computer Use agents. So your example of take a screenshot, scroll page, take a screenshot is where we were.Ari Weinstein [00:12:17]: Right.Vibhu [00:12:17]: Today, they can automate a lot. what are the bottlenecks? Is it models? Is it harnesses? What. Where do you see it going in, like, two years? Do you see it just running for hours? How do we get there? Any predictions on where Computer Use goes?Ari Weinstein [00:12:32]: Yeah. I mean, I think what's really crazy that I think, You know, the team's accomplished over the past couple of months is that now Computer Use is, like, faster at accomplishing tasks than, like, the average human probably in most cases. and I think that the next frontier is to have Computer Use be, like, literally superhuman in its performance where it actually is as fast or faster at using software than, like, expert Computer Users like us. and I think that'll be really consequential and exciting when that happens because I think we'll be able to all of a sudden build products, that, provide just much more real-time experiences. And I think it'll also. lowering the barrier to entry of, or the activation energy, I suppose, of using Computer Use I think will make us start to default to doing certain things in agents that we've become accustomed to doing manually. And I think that's exciting also ‘cause it'll save us a ton of time. and I think there's a, you know, there are a lot of different little paper cuts and bottlenecks that are sort of standing in the way of that. I think that there's, yeah, there's things on the model side, there's things on the inference side, there's things on the harness side, there's things in the, in the representation. You know, we find that as Computer Use gets faster, we're increasingly bottlenecked by just, like, the speed of doing an operation. Like, for example, you know, a non-trivial amount of time in our benchmarks of Computer Use tasks is actually, like, let's say you're automating a task on doordash.com. Like, a lot of the time is actually waiting for doordash.com itself to load, you know?Swyx [00:14:04]: Yeah, then you just write a wait and then you execute the wait.Ari Weinstein [00:14:07]: Yeah, totally. And you wanna get. Yeah, actually, it's actually really important that you get that de- like, you want as little delay as possible between when it finally finishes loading and when you go andSwyx [00:14:16]: YeahAri Weinstein [00:14:16]: Trigger the LLM to do the next action, which is actually- itself a statistical science.Swyx [00:14:20]: Like an event-driven way maybe to do that.Ari Weinstein [00:14:22]: When possible, you want it to be event-driven.Swyx [00:14:24]: JavaScript has some load events.Ari Weinstein [00:14:25]: And JavaScript has load events for. or the web browser has load events for web navigation, but there's other types of events that actually really can't be event-driven. So there's a lot of complexityVibhu [00:14:34]: The one that comes to mind is, like, chatting with customer service.Ari Weinstein [00:14:37]: Yeah.Vibhu [00:14:37]: Replies could take 30 seconds, could take three minutes.Ari Weinstein [00:14:39]: Oh, right.Swyx [00:14:41]: I have dealt with so many bots with Codex. it's great, but I also wonder if the other side knows that they're talking to a bot ‘cause I'm, like, answering in complete sentences. Like, I'm capitalized correctly.Ari Weinstein [00:14:50]: That's hilarious.Swyx [00:14:51]: Like, I'm giving full num- full reference numbers and everything. Like, it's too. it's clearly too good. I don't care. Like Like, I'm just, like, trying to get my support case.Vibhu [00:14:58]: I've prompted it to, like, you know, “Don't pretend you're a bot. Be very annoyed human.”Vibhu [00:15:02]: Short one-liners, likeSwyx [00:15:04]: YeahVibhu [00:15:04]: Push it, do all this. I also tell it, “While you're waiting for responses, like, use subagents to research better ways to figure out what we need.”Ari Weinstein [00:15:12]: Nice.Vibhu [00:15:12]: It's just, like, human little intervention.Ari Weinstein [00:15:14]: That's awesome. I also feel like half the time it's a bot on the other end, so now youVibhu [00:15:17]: YeahAri Weinstein [00:15:17]: Got the bots talking to each other.Swyx [00:15:18]: Yeah. I will also say, you know, like, you know, one milestone of Computer Use that we are, we're at now is, you know, three, four years ago, we were scared of hooking up LLMs to the, to the web and toAri Weinstein [00:15:31]: YeahSwyx [00:15:31]: To our, to our devices. And now I'm having it configure DNS for me.Ari Weinstein [00:15:35]: Wow.Swyx [00:15:36]: I'm having it pay my bills, and, like, really, like, tens of thousands of dollars of, like, stuff I'm just sending it over and yoloing with Computer Use and, like, you know, what's the, what's the worst thing that can happen?Swyx [00:15:48]: So that- that's all, that's all really good.Building Safely With Computer Use in the Agents APIAri Weinstein [00:15:50]: Yeah.Swyx [00:15:50]: I think now that you've. you know, obviously, you also have to dogfood your own products and all these things. Now that you've sort of released this in API, what are some pitfalls or tips that you wanna tell developers, because they're about to, I guess, encounter all this, firsthand?Ari Weinstein [00:16:03]: First of all, I'm just really excited that we brought Computer Use into the Agents API. I think this is, really great because obviously a lot of developers are building applications that wanna be able to work with third-party websites and services. And so Computer Use has this universality to it. It can work with anything. So now all of a sudden, developers can build using the same Computer Use implementation that we're building on. I think there's great work to be done if you wanna build your own Computer Use harness, but it's hard. And also, we train our models on our Computer Use harness, so there is, an advantage to using the one that's in distribution for the model. There actually might be a speed and cost and accuracy advantage. So I think it's really great for people to get to build on top of that. And, yeah, you know, I think kind of to the point that you were making, like, I think we're all sort of still in the process and maybe, like, some of us are ahead of many people in the world of, like, getting comfortable with this technology and trusting it. And so I think it's incumbent on us to, sort of build that trust over time by making sure we're building things that are reliable, by building, the right kinds of safety checks, by asking for the user's consent before doing something consequential like making a payment, by, asking, you know, maybe depending on the application, making sure you're only letting it access the websites or applications that it actually needs for the task. So that's, I think, something important to think about. but yeah, I'd really encourage people to try the new Agents API, build all kinds of cool stuff on it. We'd love to hear your feed- feedback if, you know, depending on how it goes.Vibhu [00:17:31]: Have you seen any changes in the way it affects dev workflows? So one of the things with dots is, you know, you're seeing it in Slack.Ari Weinstein [00:17:38]: Yeah.Vibhu [00:17:38]: You're seeing people use voice and build. the example Roman showed of change this app and send me screenshots along the way and all this.Computer Use for Testing and Closing the Software LoopAri Weinstein [00:17:46]: Yeah.Vibhu [00:17:46]: Is anything that you're seeing there in adoption about how people are using Computer Use for coding workflows? Any tips people should take from that?Ari Weinstein [00:17:55]: One of my favorite use cases for Computer Use actually, and one that we see a lot in the wild, is Computer Use letting the agent- actually test the software that the agent has built, which is far more consequential than it sounds. Because traditionally, you know, you'd build something in Codex and then the-- and the Codex builds it for you, and then you have to test it, and you are now like QA for the agent, right? So with Computer Use, you can complete the develop-- the software development life cycle, where, the agent can build software, it can test it. So I have a lot of fun, you know, building stuff, having the agent test it. By the time it comes to me, it's already working. I have, extra fun because sometimes I'm, like, developing Computer Use itself, and so now I have a Computer Use agent that's using my Computer Use agent that's using something else. so yeah, I really, I really think this is a super powerful class of use case.Swyx [00:18:44]: I have a visual play test skill that I've developed that, really catches a lot of design issues,Ari Weinstein [00:18:49]: NiceSwyx [00:18:50]: That, you know, normally when you just look at code, you wouldn't really pick it up. it's also really good for cloning apps, though. If you're using a shitty SaaS and you wanna kill the SaaS You just clone it screen by screen by screen. and Obviously, Computer Use can completely drive everything, take screenshots, note it down, and then clone everything with Codex.Ari Weinstein [00:19:06]: That's really cool.Swyx [00:19:06]: But yeah, thanks for all your progress. I think, that isAri Weinstein [00:19:08]: AbsolutelySwyx [00:19:09]: Our time.Nikunj Handa: What's New in the OpenAI APIAri Weinstein [00:19:10]: Yeah.Swyx [00:19:10]: This is not the last that we're gonna talk.Ari Weinstein [00:19:12]: Yeah, cool. This has been really fun. Thank you guys for having me.Swyx [00:19:14]: All right.Vibhu [00:19:14]: All right. Okay, we're a strict cutoff. We're just gonna dive right in.Nikunj Handa [00:19:17]: Let's do it, yeah.Vibhu [00:19:19]: Okay, so, Nikunj, we're very excited to have you. You shipped a lot on the API side, like we justNikunj Handa [00:19:25]: YeahVibhu [00:19:25]: Talked about with Ari. You can now build with Computer Use agents. Anything you wanna highlight, the API side of changes, and introduce yourself a little and what you do?Nikunj Handa [00:19:34]: Yeah, for sure. My name is Nikunj. I lead product for the API team. Been here for roughly three years. been working on launching models. I feel like that's just been, like, a thing, constant thing throughout my time, here at OpenAI. And, with every new model, we try to, like, basically work super closely with the post-training team, the research team, to figure out what's new in it. and then we, like, expose those capabilities in the API. so that's, like, the basic way of putting it. and if you just look at, everything that's new with GPT-6, the cool new capabilities that we launched were, firstly, async function calling. so what you see with, like a lot of the things that you're seeing in, like, Codex and Dots and everything is that tool calls take so long that you don't have to, like, pause the model's execution while, the tool is running. So you could just, like, kick off a tool call, keep running, keep reasoning, and then check back in. so we launched async tool calling. We launched, like, mid-turn steering, so now you can, like, inject messages while the model is reasoning, in the middle. so as your tool call finishes, you can put in that instructions.Async Tool Calls, Mid-Turn Steering, and WebSocketsSwyx [00:20:43]: And that's also partially a model alignment capability, right?Nikunj Handa [00:20:46]: Yeah.Swyx [00:20:46]: Like, they have to train in the ability to train.Nikunj Handa [00:20:48]: Exactly, yeah. AndVibhu [00:20:49]: I feel like we've had it in the app. You could always, as it's reasoning, you could steer.Nikunj Handa [00:20:54]: Yes.Vibhu [00:20:54]: It wasn't the best. It's gotten much better.Nikunj Handa [00:20:57]: Yeah.Vibhu [00:20:57]: Excited to see how it does this in versionNikunj Handa [00:20:58]: Yeah, and I like our mainVibhu [00:20:59]: And nowNikunj Handa [00:21:00]: Goal in, our main goal in the API is to, like, put things in the API once it's trained into the harness. And so we kinda wait for that moment until it's good enough. And a lot of that is, like, actually being powered by WebSockets, which we launched, a few, I wanna say months ago. And so WebSockets just opens this, like, whole bidirectional, like, communication thing with the model. This is not, the GPT Life thing. I'm just talking about GPT-6. and you can do all these, like, async tool calling, async reasoning, injecting messages. It's a really fun API to work on. I think, like, really enjoying.Swyx [00:21:33]: Yeah. This is why we are the engineering podcast, because we get to talk about WebSockets.UltraFast and the Inference StackNikunj Handa [00:21:36]: Yeah.Swyx [00:21:37]: This also pairs very well with UltraFast, right?Nikunj Handa [00:21:39]: Oh, yeah.Swyx [00:21:39]: Like, that is now, like, I think for the first time ever available in the API.Nikunj Handa [00:21:43]: Yes.Swyx [00:21:43]: Which is, which is basically the theoretical fastest speed you can ever get, Frontier of Intelligence.Nikunj Handa [00:21:49]: Yeah. It's been so exciting to work on that project. I think, before I go into the API, the most fun part of, UltraFast has been just watching the inference team cook with Astra. Like, they're just, like, constantly having these, like, Codex agents running, trying to, like, squeeze out more performance. And, I would say, like, at least for a couple of months, a lot of it was focused on efficiency and driving the cost down, which is how we, like, were able to cut the Luna price by, like, 80%. It was, like, a lot of that was driven by, like, all the inference improvements they landed. And then now they've, like, shifted gears towards, like, how can we make this run as fast as possible? And so UltraFast has just been, like, amazing to see on a mo- on a model like Astra. Like, to go that fast has been really cool. And yeah, WebSockets is like. actually it was like the first time we launched WebSockets, it was for GPT, 5.3 Codex Spark, which was. Can't believe we named a model that, but, you know, that's what we launched it for. And obviously, it helps so much because, like, you gotta have the tool calls. you had, like, really reduced the overhead, of going back and forth with tools. And so, WebSockets is awesome for that.Swyx [00:22:57]: Yeah. it's always cute to see, like, I have my reset usage limit, and then I have my Spark usage limit that I never use.Nikunj Handa [00:23:03]: Yeah.Swyx [00:23:04]: Like, it's there if I want it.Nikunj Handa [00:23:05]: I think it's gone finally.Swyx [00:23:06]: It's gone. It's gone, yeah.Nikunj Handa [00:23:07]: I know it's gone, so.Swyx [00:23:08]: Yeah. you're slowly killing off all the, you know, theNikunj Handa [00:23:11]: The old ones, yeah.Swyx [00:23:11]: Oldies.Vibhu [00:23:11]: This is a great week. I mean, it was the first time we had Frontier Intelligence at extreme speeds.Nikunj Handa [00:23:17]: Yeah.Vibhu [00:23:18]: People really liked it.Nikunj Handa [00:23:19]: Yeah.Vibhu [00:23:19]: SoSwyx [00:23:20]: YeahVibhu [00:23:20]: First time it comes back.Swyx [00:23:21]: Yeah. for, 5.3 Spark is explicitly attributed to Cerebras. You guys are not confirming or denying that, UltraFast is related to Ce- Cerebras, but people are. I'll just say that people do care and, are wondering about it. And you have your own silicon as well. elephant in the room, decision models.Decisions API: OpenAI's Fast Decision ModelNikunj Handa [00:23:38]: Oh, yeah.Swyx [00:23:38]: Decisions API. We were the first podcast to do a big Jev, deep dive with, Diogo, and I also, you know, featured him at AI Engineer. How quickly did you see Jev and go likeNikunj Handa [00:23:49]: Oh my gosh. Yeah.Nikunj Handa [00:23:50]: Yeah. Firstly, like, huge props to Diogo and, like, the Jev team for, like, really inspiring theSwyx [00:23:55]: YesNikunj Handa [00:23:55]: Like, whole segment in the market. Like, obviously Jev comes out, everyone's, like, losing their minds over it. Our users are, like, hitting us up. But also, like, our internal teams are like, “We need, like, a much faster classification system.” We can. I don't wanna, like, get ahead of some of the dots features that are gonna comeSwyx [00:24:16]: WhooNikunj Handa [00:24:16]: But you're gonna see, like, some cool, like, really snappy, fast things built on top of the decisions API. but, you know, like, yeah. Props to Jev for, like, inspiring this whole thing. obviously a bunch of people at OpenAI get nerd sniped by that, and they're like, “How can we, like, make this work? We're not gonna, like-”Swyx [00:24:33]: Okay.Nikunj Handa [00:24:33]: “. train a new model.” ButSwyx [00:24:34]: Like, four weeks ago, this was not on the dev radar, right?Nikunj Handa [00:24:37]: No, not at all. No.Swyx [00:24:37]: Okay.Nikunj Handa [00:24:37]: This is likeSwyx [00:24:38]: WowNikunj Handa [00:24:38]: Jev-inspired and, likeSwyx [00:24:40]: I think you are officially the first one to your lab to, like, clone and, adopt this.Nikunj Handa [00:24:44]: Yeah. Yeah. I feel like, OpenAI has such a strong, like, hacker culture and, like, people are just, like, they get excited about things. And so, guy from inference, this one awesome guy from, the infra team are like, “ this is amazing. We're gonna, like, hack on it.” They build a prototype, it, like, works, and now we- we are just, like, hill climbing on latency and trying to make this as fast as possible, and we wanna, like, launch it in the coming days. so as soon as we hit our, like, latency target, we'll try to get this out.Vibhu [00:25:13]: It's interesting. At the same time of hacker culture, you also, as Sam said, like 99%, one of the most reliable APIs withNikunj Handa [00:25:20]: Mm-hmmVibhu [00:25:20]: I think probably the most usage, which is your team directly. how should people see decisions API? I feel like a lot of people saw Jev, heard the buzz, haven't built with it. You're making it very mainstream.What Decision Models Are Good ForNikunj Handa [00:25:32]: Mm-hmm.Vibhu [00:25:33]: What should people see it as? How should they use it?Nikunj Handa [00:25:36]: Yeah. I think the main use cases we've seen is, like, really fast classification. all the Computer Use demos have been amazing and really cool. I think there will be limitations, of course, in terms of, you know, having Astra, like, write, like, a JavaScript-like script to control your computer, versus having Luna pick, like, one action at a time. I think, it's not gonna be at the same intelligence level, but, like, maybe there's some Computer Use tasks that this is good enough for. So excited to see that come through. the other cool prototype I've seen internally is people hooking it up with GPT Live. So GPT Live is like, you know, our bidirectional, like, real-time,Swyx [00:26:14]: VoicingNikunj Handa [00:26:14]: A- API. And, it's built on this, like, model of front-end models and back-end models. So GPT Live is this, likeSwyx [00:26:20]: Think or talkerNikunj Handa [00:26:21]: Super fast. Yeah, think or, talker thing. So GPT Live is the talker, super fast, really good at delegation, and you have something like Astra sitting at the ba- at the back. But tool calling has always felt, like, really slow in GPT Live. and so people have been, like, putting together these, like, tool calling demos of GPT Live controlling a computer, and it just feels like so much more snappy and natural. So I'm, like, kinda excited to see, like, what people do with Live and with Luna on decisions API. so that'll be pretty exciting. Yeah.Swyx [00:26:55]: So I wanna iron this out for people, especially from the product side, because a lot of people have been putting out Jev clones. There's been about 100 in the last two weeks.What Makes a Decision Model DifferentNikunj Handa [00:27:01]: Oh, really? That's amazing.Vibhu [00:27:03]: The first couple days.Swyx [00:27:04]: But like, it. Like, they can clone a Jev API, which is honestly structured outputsNikunj Handa [00:27:09]: YeahSwyx [00:27:09]: Which OpenAI was first to.Nikunj Handa [00:27:10]: Yeah.Swyx [00:27:11]: Right? So, like, I think let's iron out for people what is a decision model, as far asNikunj Handa [00:27:16]: YeahSwyx [00:27:17]: As far as, like, what is important? It is not just latency. It's not just structured output, right? Because I could just have Luna as it'- The decision model is priced the same as Luna, right?Nikunj Handa [00:27:26]: Mm-hmm.Swyx [00:27:27]: Have turned off reasoning and then have structured output. Do I have a Jev? you know, no, right? And that's theNikunj Handa [00:27:33]: YeahSwyx [00:27:33]: That's the realVibhu [00:27:34]: There's a confidence there.Swyx [00:27:35]: Yeah.Nikunj Handa [00:27:36]: Yeah, totally. I think, the way that. So we haven't trained, like, a new model for this.Swyx [00:27:40]: Yeah.Nikunj Handa [00:27:40]: We're, like, building this purely on top of the same Luna weights that we have.Swyx [00:27:44]: Oh.Nikunj Handa [00:27:44]: So yeah. This is, like, really just Luna. And, on top of that, what you're doing is you're constraining. So, like, structured output's a big part of it. you're really optimizing the inference stack to, like, get very fast on TTFD. And because you can have multiple questions, what you do is, like, you basically run those in parallel,Swyx [00:28:05]: As a batch.Nikunj Handa [00:28:06]: Yeah. You run those in the-- as a batch. you-- All sorts of, like, inference techniques people are working on to try to make it as fast as possible. But I'd say, like, at least our implementation of it at the start and this first version is, like, zero-shotting this on top of Luna, to see how it goes. And obviously, you wanna, like, put it out there. Like, this is OpenAI's, like, classic iterative deployment thing. Put it out there, see what people think, and then, like, we'll make more model improvements, as needed. so yeah. That's, the decisions API.Swyx [00:28:38]: Yeah. And, obviously as a benefit, you have vision. They don't have vision, right?Nikunj Handa [00:28:42]: That's true.Swyx [00:28:42]: Obviously, Jev's comes withNikunj Handa [00:28:43]: Yeah. Like, we get it for free with Luna. Yeah.Swyx [00:28:45]: Yeah. I do think that, like, you know, some of the innovations, it sounds like, it's still to come if it's still the same Luna weights, which is, like, the confidence stuff, like, the in calibration is something that we've talked about on the podcast with, benchmarking calibration. ‘Cause basically, the whole point is that RLHF kind of collapses you towards what you want to hear.Calibration, Architecture, and the Open Research QuestionsNikunj Handa [00:29:03]: Yeah.Swyx [00:29:03]: But, like, not actually, like, what the amount of confidence is.Nikunj Handa [00:29:06]: Yeah. Yeah, totally. I'm eager to see how it pans out. Maybe there's, like, gonna be. These are gonna be, like, the key areas where we may have to, like, hill climbSwyx [00:29:15]: YeahNikunj Handa [00:29:15]: With the, with the future model release. But, yeah.Swyx [00:29:18]: And then architecture-wise, the other thing that's in the debate, obviously, you-- Nobody knows because Jev doesn't talk about it, but the two speculations are, one, maybe diffusion model instead of autoregressive.Nikunj Handa [00:29:28]: Mm-hmm.Swyx [00:29:29]: But you are able to achieve the parallel, generation in your way. And then the other one is some mech interp type thingNikunj Handa [00:29:37]: Mm-hmmSwyx [00:29:37]: That you're, like, analyzing the activations and then just outputtingNikunj Handa [00:29:40]: That would be coolSwyx [00:29:41]: The weights.Nikunj Handa [00:29:42]: Yeah.Swyx [00:29:42]: Which, like, you guys have all done the research on this. People have speculated.Vibhu [00:29:45]: There have been demos onSwyx [00:29:46]: YeahVibhu [00:29:46]: Both of these as well. I think Gemini shared a Gemini diffusion, Gemma diffusion on a Jev-style output.Nikunj Handa [00:29:53]: Oh, sick.Vibhu [00:29:53]: And, interp people have also, you know, pulled out interp from a middle layer, but this is all speculation.Swyx [00:29:59]: It's just like, what are you trying to aim for, right? Because you can achieve the API. Everyone can achieve the API. It's actually pretty trivial. But, like, then there's the speed, then there's the accuracy, then there's the other calibration features.Nikunj Handa [00:30:11]: Mm-hmm.Swyx [00:30:11]: I don't know what else.Nikunj Handa [00:30:13]: Yeah. Yeah. No, totally. It's so cool that this, like, whole space has been kicked off now and people are gonna do so much cool stuff and everyone's gonna learn from each other. And, yeah, I'm excited about it.What Developers Should Build NextVibhu [00:30:24]: I feel like being on the platform team, a lot of your job is to empower builders.Nikunj Handa [00:30:27]: Mm-hmm.Vibhu [00:30:28]: What do you think people should build with decisions API and also Computer Use agents? Any stuff that you've- been building with internally that you think really opens up after the new change?Nikunj Handa [00:30:39]: Yeah. okay, let's think. decisions API, use cases internally have been pretty obvious. Like, the user ops team was, like, jumping on it. We were like, “We gotta classify all of our support tickets.” what else came up? obviously, there were, like, the really cool GPT Live demos. I'm sure, like, the Codex app team might, like, pick this up and try to do something cool with it. So, you know, like, this whole thing started, like, a week ago, so it's, like, very early andSwyx [00:31:06]: Oh, one week.Nikunj Handa [00:31:07]: We're excited. Yeah. Yeah, pretty much.Vibhu [00:31:08]: There was a big push in, evals, LLM as a judge having really low latency there.Nikunj Handa [00:31:13]: Right. Yeah. That'll be interesting to see. and then, with the Agents API, we have-- we're basically, like, having a bunch of first-party products, like, at OpenAI built fully on top of it. we've had the Codex security stuff that just went out that's fully built on top of, the Agents API. We have, sort of the-- we- we are having, like, a meetings type of thing launching today.Agents API and OpenAI's First-Party ProductsSwyx [00:31:40]: Mm-hmm.Nikunj Handa [00:31:40]: I think there was, like, a demo. do you remember, like, the plugin extensions when Sam was showing it? There was, like, a demo for, like, you're in a calendar, you can sort of, like, have your meeting notesSwyx [00:31:51]: Like, drop into a singleNikunj Handa [00:31:52]: Flow into like your spaceSwyx [00:31:52]: Like, Google Docs type thing.Nikunj Handa [00:31:53]: Yeah.Swyx [00:31:54]: Right?Nikunj Handa [00:31:54]: And so the-- all of that stuff is, like, fully built on top of, the Agents API. and yeah, I'm, like, just excited to see. Like, we're just getting this out, and let's see what people build on top of it.Vibhu [00:32:04]: I think you showed it off very well. The whole edit spaces, pages, collaborate, add in your dot. Like, that's a lot, soNikunj Handa [00:32:12]: YeahVibhu [00:32:12]: There's a lot of inspiration people can go to.Nikunj Handa [00:32:14]: Yeah. All possible with Astra, you know. Like, thing- things just move so fast now. LikeSwyx [00:32:19]: YeahNikunj Handa [00:32:19]: People go from idea to execution so quickly, it's amazing.Swyx [00:32:23]: Is there something that you want, people to focus on to give you feedback? Like, what-- like, you know, maybe you're just putting this out there and you want-- and there's, like, a fork in the road and you want developers to help you decide.Responses API Performance and Long-Lived CachingNikunj Handa [00:32:35]: So I think Agents API and decisions API, they are like, these are our newest products. Would love, like, any and all feedback on that to figure out where to take them. I think, over here, we're, like, very open on Responses API, which is sort of like our workhorse over here. like, really focused on performance right now, and the performance comes in, like, two main ways. first is just, like, latency. We've been, like, rewriting the whole Responses API stack to, like, make it as fast as possible from a TTFT perspective, DVD perspective. So there's like-- that, like, continues to be, like, a main area of focus for us. The second thing we've been trying to do is, like, really go deep on caching, particularly with these, like, personal agents that are, you know, like, basically, like, a single thread that just goes on and on forever. We've been, trying to, like, really up our game on caching. We provide now guarantees of, like, cache hits within, like, 30 minutes. We're actually, like, we-- for one of our users, we just launched, like, a much longer cache window. So we have, like, a 12-hour caching guarantee, that we offer so that you have, like, guaranteed cache hits forSwyx [00:33:40]: Is that a public API?Nikunj Handa [00:33:42]: Not yet. That's in preview.Nikunj Handa [00:33:43]: We're gonna, like, try to get that out to everyone as soon as possible. But, like, just pay a little bit more for the cache write, and we, like, guarantee, like, cache reads for, like, a much longer period. So even if, like, your instinct thread, for example, like, you just, like, do something on it and then come back to it, like, three to four hours later, you- you're still getting the caching performance out of it. And launchedVibhu [00:34:04]: And you cut the cost there quite a bit too, right, with the new model?Nikunj Handa [00:34:07]: Oh, yeah. That's right.Vibhu [00:34:08]: Like, 25% cheaper, soNikunj Handa [00:34:08]: Yeah, with, like, driving down cache reads, yeah.Cache Pre-Warming and Cost-Efficient Agent ThreadsVibhu [00:34:10]: For builders, they should implementNikunj Handa [00:34:13]: YeahVibhu [00:34:13]: Because it's significantly cheaper.Nikunj Handa [00:34:14]: Yeah. Yeah. Just, like, building your apps with, like, to be very cache aware and sort of, like, use our prompt diagnostics or cache diagnostics tool to figure out, like, where things are dropping off. And, so the caching part is, like, really important. yeah, I also wanted to talk about pre-warming. We have that in the API now. So, like, if you know that, “Hey, I'm gonna get a cache,” like-- sorry, “I'm gonna get this prompt. I just wanna, like, pre-warm the cache, pay, like, the cache write fee right now, and then, like, have it sort of ready to go for the next 30 minutes for whenever.”Swyx [00:34:49]: And it can spawn many instances of that thread.Nikunj Handa [00:34:51]: Exactly, yeah.Swyx [00:34:52]: Yeah.Nikunj Handa [00:34:52]: You can just keep going and haveSwyx [00:34:54]: Yeah, just keep messing with the prompt thereNikunj Handa [00:34:55]: Tons and tons of that. and so, yeah, like, I'm very excited about getting feedback on, like, the low-level performance things that we can keep making Responses API the most performant and reliable way to, like, build on top of an LLM. And then you basically have our, like, new products where I'm just looking for, like, any and all feedback.Swyx [00:35:15]: Yeah, just use it, right?Nikunj Handa [00:35:16]: So yeah, just useSwyx [00:35:16]: Tell us what toNikunj Handa [00:35:17]: Yeah. Define our roadmap for us, please. So yeah.Swyx [00:35:20]: I think for me, the caching thing, great, right? Like, obviously very needed. But at the end of the day, you're still bumping up against a million-token contextCompaction and Managing Million-Token ContextsNikunj Handa [00:35:28]: Mm-hmmSwyx [00:35:28]: And that's probably not gonna change for the foreseeable future.Nikunj Handa [00:35:31]: Mm-hmm.Swyx [00:35:31]: Like, you still need good compression.Nikunj Handa [00:35:33]: Yeah.Swyx [00:35:33]: What is the best practice there?Nikunj Handa [00:35:34]: Yeah. Yeah, totally. so firstly, OpenAI has its own, like, proprietary compression, compSwyx [00:35:40]: Which is inNikunj Handa [00:35:41]: Compaction.Vibhu [00:35:42]: Compaction.Swyx [00:35:42]: It's in the agents.Vibhu [00:35:43]: It's in the API.Nikunj Handa [00:35:43]: Yes.Vibhu [00:35:43]: Agents API.Nikunj Handa [00:35:44]: Yeah.Swyx [00:35:44]: You decide for us, right?Nikunj Handa [00:35:45]: Yeah, exactly. So in the Agents API, it comes built into the harness. and if you're in Responses API, there's, like, two ways of doing it. One is what we call server-side compaction, which is you basically tell Responses API that if you ever hit this threshold of tokens, just auto-compact it and, like, go back, or sorry, like, reduce the context, being used. And the second way is, like, /compact, which is, like, if you want full control. So you can, like, /compact at any timeSwyx [00:36:15]: I hear youNikunj Handa [00:36:15]: Have your own logic on when to, likeSwyx [00:36:17]: It's not AGI.Nikunj Handa [00:36:18]: It.Swyx [00:36:18]: It's not AGI.Nikunj Handa [00:36:19]: Yeah. Yeah.Swyx [00:36:20]: Yeah. But it, I meanNikunj Handa [00:36:20]: YeahSwyx [00:36:20]: It is the manual override.Nikunj Handa [00:36:21]: Yeah, it is the manual way. And like, I don't know, but a lot of the big coding agents like to do it manually. I mean, like, if you look at the Codex implementation of it in the Code- open source Codex harness, you can see that they use /compact and do it. and, there's also, like, new, by the way, new compaction techniques that we are working on. Some of them you will be able to see in the Codex harness. Like, it's already implemented in the Codex harness. And so, they're like some file-based, systems that we are, like, experimenting with. So yeah, lots of cool stuff going on around in compaction as well.Swyx [00:36:57]: Cool. we are running out of time.Nikunj Handa [00:36:59]: Okay.Swyx [00:36:59]: I think you've talked about, a lot about performance and talked a lot about, the new APIs that you're launching. Can you give us any other hints as to things that you're interested in as far as the future of the platform is concerned?Higher-Level Platform Primitives and the AI CloudNikunj Handa [00:37:13]: We're obviously like very low level. Like, I used to work at Stripe before this, and, at Stripe a lot of the game was like building these higher level primitives and products on top of like the core payments primitives. and, I'm always like curious about what the best way of doing that is in AI. And I think we've had a couple of attempts at that. We like had launched assistance API like way back in the day, and like wasn't really the right fit. We were sort of like going off with this like Agents API, and, it gives you the codex harness, but like where's like the, what's the right amount of flexibility to give in that? That's like an open question. Like how should we like have memory walls and like all of these like higher level like API objects to take away, also like to abstract away more, like storage concepts. Like this is like a whole, like, there's a whole space that I'm like very curious about figuring out how we design. I think a lot of things in AI are just have a low-level API primitive and see an example harness and go and have your coding agent implement that. But how much of that do we build into the API is like a constant question that I'm thinking about.Swyx [00:38:24]: Yeah.Nikunj Handa [00:38:24]: So I don't know if folks have thoughts on that. If anyone has ideas, it would be super interesting to hear.Swyx [00:38:30]: Yeah. The analogy I always bring back to, and we'll end there, is, you're building an AI cloud, right?Nikunj Handa [00:38:35]: Mm-hmm.Swyx [00:38:35]: Like, which is, something that, Sam said a year agoNikunj Handa [00:38:38]: Mm-hmmSwyx [00:38:38]: Where, and you're, it's almost like you're kind of doing the AWS invention and you have to do, okay, this is EC2Nikunj Handa [00:38:45]: YeahSwyx [00:38:45]: And this is S3, and this is like. But you're doing the AI-native versions of each of these.Vibhu [00:38:48]: There are a lot of analogies, so you're pre-warming caches for stuff that you know will beNikunj Handa [00:38:53]: Yeah.Vibhu [00:38:53]: And it's nice that it's all exposed to buildersClosingNikunj Handa [00:38:56]: Mm-hmmVibhu [00:38:56]: ‘cause it just opens up ways that you can build new things.Nikunj Handa [00:38:59]: Yeah, absolutely.Swyx [00:39:00]: Okay.Vibhu [00:39:00]: Awesome. WellSwyx [00:39:01]: That's everything.Nikunj Handa [00:39:01]: Thank you, guys.Vibhu [00:39:02]: Thank you.Nikunj Handa [00:39:02]: Yeah. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

Studio Allsvenskan är sponsrade av Snabbare – det okrångliga spelbolaget!Köp en andel till vårt andelsspel på SnabbTipset hos Snabbare.https://www.snabbare.com/snabbtipset-studioallsvenskan18+ | Stödlinjen.se | Spela AnsvarsfulltÅrets bästa sportdeal är här! TV4 Play och Studio Allsvenskan har ett samarbete där du kan se Allsvenskan, Superettan, La Liga och Serie A plus massa mer med ett galet vasst erbjudande – för enbart 349 kronor i månaden i sex månader. Gå in på https://www.tv4play.se/kampanj/studioallsvenskan för att ta del av erbjudandet!Det är onsdag och då borde alla ha koll på att det är onsdagspanelen som står på schemat!Björn Wesström dundrar in i studion – och dessutom med en gäst i dag.Artisten och AIK-supportern Niklas Strömstedt gästar Studio Allsvenskans onsdagspanel.Därför blir det såklart stort fokus på just AIK, Niklas supporterskap och relation till Gnaget.När blev han supporter? Vilket är hans bästa minne? Och värsta?Själv passar han också på att ställa nyfikna frågor till Björn om diverse saker.Och självklart blir det även en hel del om musiken, VM 1994, VM-låten och anekdoter därifrån – men även om hur han var en del i AIK:s inmarschlåt.Missa inte Studio Allsvenskans onsdagspanel med både Björn Wesström och Niklas Strömstedt.Avsnittet finns ute överallt.00:00 Intro05:05 Niklas Strömstedts relation till AIK51:15 Inmarschlåtar i Allsvenskan1:00:39 Snabbranking1:02:13 LandslagssurrStudio Allsvenskan finns även på Patreon, där du får ALLA våra avsnitt reklamfritt direkt efter inspelning. Dessutom får du tillgång till våra exklusiva poddserier där vi släpper avsnitt tisdag till fredag varje vecka. Bli medlem här!Följ Studio Allsvenskan på sociala medier:Twitter!Facebook!Instagram!Youtube!TikTok! Hosted on Acast. See acast.com/privacy for more information.

It's been five years since Dulcé was last on, and we've got a LOT of catching up to do! Now, you know Dulcé from her time on The Daily Show, from the wonderful animated show The Great North, her book Hello, Friends! or from her podcast Chasing K-Dramas, and most assuredly, you've seen her stand-up (on tour now or if you live in LA, come to her Just Pull Up!), but today, we're hearing the EPIC story of her journey to get pregnant! After telling us about what it's like to date "dumb dudes", Dulcé tells us that all she's ever wanted was to be a wife and a mother, and the mother window was closing fast, so she decided to get pregnant. What followed was an in insane journey through our racist, misogynistic, dysfunctional health system, and buddy, that ain't even half of it! PLUS, obvi, we answer YOUR advice questions! If you'd like to ask your own advice questions, call 323-524-7839 and leave a VM or just DM us on IG or Twitter!Support the show (and Mabel) on Patreon (two extra exclusive episodes a month!) or gift someone a Patreon subscription! Or get yourself a t-shirt or a discounted Quarantine Crew shirt! And why not leave a 5-star review on Apple Podcasts? Or Spotify? It takes less than a minute! Follow the show on Instagram! Check out some CT clips on YouTube! BUY A SUPER CUTE "Open Your Hearts, Loosen Your Butts" mug! Also, we're in culture critic and Vulture writer Sean Malin's book The Podcast Pantheon: 101 Podcasts That Changed How We Listen!Plus some other stuff! Watch Naomi's Netflix half hour or Mythic Quest! Check out Andy's old casiopop band's lost album or his other podcast Beginnings!Theme song by the great Sammus! Hosted on Acast. See acast.com/privacy for more information.

Histamine and MCAS are everywhere on the internet right now, but there's a huge piece missing from the conversation. Genetics. In this episode, I’m joined by two board-certified genetic counselors, Natalie Samson and Sarah Upp of Golden Genetics. They're here to break down what’s going on at a DNA level when it comes to histamine intolerance, MCAS, connective tissue disorders, and the symptoms so many vestibular warriors are navigating. The biggest takeaway might just be how you can start advocating for yourself with your providers (especially if these things are new to them). This one is dense, practical, and unlike any conversation I’ve had on this podcast before. In this episode, we'll dig into: How genetic changes affect how your body works How your environment and genetics work together The pentad super syndrome Why weak connective tissue may be at the root of these overlapping conditions What happens when the DAO and HMT genes aren’t working well Where histamine comes from and how to empty it The barn analogy for understanding mast cell stabilization Why a low histamine diet isn’t meant to be forever Foods to add in that lower histamine The two panels Golden Genetics recommends Why methylation matters for histamine breakdown What to do when testing for MCAS doesn't give clear answers How to advocate for yourself when a provider dismisses MCAS as a social media diagnosis The ongoing research between Golden Genetics and the vestibular migraine community How to use the 2026 MCAS guidelines flowchart at your next appointment Histamine intolerance and MCAS aren’t just about what you’re eating.  They’re rooted in your genetics, and understanding your specific DNA can help you stop guessing and start identifying the right interventions for your body. Related Episodes: Toxic Products That May Be Making Your Dizziness Worse w/ Dr. Zach Spiritos: https://thevertigodoctor.com/podcast/53-toxic-products-that-may-be-making-your-dizziness-worse/   Meet Natalie Samson & Sarah Upp Natalie Samson and Sarah Upp are both board-certified genetic counselors and the team behind Golden Genetics, an integrative genetic counseling practice. They specialize in helping people understand their DNA, order the right tests and turn results into a personalized action plan—with a special focus on histamine, inflammation, connective tissue, and nutrigenomics.  Natalie founded Golden Genetics to bring genetics into the integrative health conversation, and together she and Sarah are currently conducting research on the genetic links to vestibular migraine. Connect w/ Natalie Samson & Sarah Upp: Website: www.goldengeneticshealth.com  What is a logistics call with Golden Genetics? https://goldengenetics.practicebetter.io/#/652843bfc5600d631946d7b9/bookings?r=67d88822ff4b8cf37956c65d&step=services Book a logistics call with Golden Genetics: https://www.goldengeneticshealth.com/book-a-discovery-call-1 Pre-test session with Sarah: https://goldengenetics.practicebetter.io/#/687574970c2232e0dccceef5/bookings?r=69bb16570d392e7826c8903b Instagram: https://www.instagram.com/goldengeneticshealth  Links Mentioned: Vestibular Group Fit (code GROUNDED at checkout for 15% off!): https://thevertigodoctor.com/vestibular-group-fit 2026 MCAS Guidelines flowchart: https://www.mastcellaction.org/assets/_/2025/04/01/d6de24e1-f6f6-4248-a3f4-12866d7bf713/mast-cell-activation-syndrome-mcas-a-primary-care-guide-final.pdf Free Resources: ⁠The 4 Steps to Managing Vestibular Migraine: https://thevertigodoctor.myflodesk.com/cb5js0y78n ⁠The PPPD Management Masterclass⁠: https://thevertigodoctor.myflodesk.com/new-pppd ⁠What your Partner Should Know About Living with Dizziness⁠: https://thevertigodoctor.myflodesk.com/partnership ⁠The FREE Mini VGFit Workout⁠: https://thevertigodoctor.myflodesk.com/minifit ⁠The FREE POTS – safe Workouts⁠: https://thevertigodoctor.myflodesk.com/pots Connect with Dr. Madison (@TheVertigoDoctor): https://instagram.com/thevertigodoctor Work with Dr. Madison: For 1:1 Vestibular Rehabilitation Therapy, email madison@thevertigodoctor.com Otherwise, I'll see ya in Vestibular Group Fit! Connect with Dr. Jenna (@dizzy.rehab.therapist): https://www.instagram.com/dizzy.rehab.therapist/ Learn about the Oak Method: http://thevertigodoctor.com/why-vestibular-group-fit Love what you heard?Consider leaving a review on your favorite podcast platform to help us reach more vestibular warriors like you! This podcast is for informational purposes only and may not be the best fit for you and your personal situation. It shall not be construed as medical advice. The information and education provided here is not intended or implied to supplement or replace professional medical treatment, advice, and/or diagnosis. Always check with your own physician or medical professional before trying or implementing any information read here. is histamine intolerance genetic, genetics and mcas, genetics and histamine, genetic counselors, vestibular migraine, VM, chronic dizziness, PPPD, nervous system regulation, migraine management, vestibular group fit, VGF

Gruppettoen er endelig tilbage. Har Matson fået de mytiske post Grand Tour-benene efter Vueltaen? Og hvordan var Mielkes oplevelse til VM i Montreal? Hør det og meget mere i det seneste afsnit af Gruppettoen på Forhjulslir.  Medvirkende: Anders Mielke og Mathias Sunekær Norsgaard.  Gruppettoen på Forhjulslir er sponsoreret af Aioss. Ved at købe Aioss støtter du ikke bare os – men vigtigst af alt dig selv, med mere fysisk og mentalt overskud i hverdagen. Brug koden "gruppettoen" og spar 100 kr på de tre første leveringer på dit aioss-abonnement. Læs mere på: https://aioss.dk/pages/gruppettoen

Johan Dolck Wall har träffat Malmö FF:s huvudtränare Gaute Helstrup för ett samtal om Malmö, Tromsö och dolda talangen som gjorde att han fick VM-debutera i Italien som 14-åring, i den lite oklara sporten Subbuteo.Medverkande: Johan Dolck Wall och Gaute Helstrup.Ansvarig utgivare: Klas Granström

Johan Dolck Wall har träffat Malmö FF:s huvudtränare Gaute Helstrup för ett samtal om Malmö, Tromsö och dolda talangen som gjorde att han fick VM-debutera i Italien som 14-åring, i den lite oklara sporten Subbuteo.Medverkande: Johan Dolck Wall och Gaute Helstrup.Ansvarig utgivare: Klas Granström

Du plukker opp en pose gulrøtter i butikken uten å tenke over det. Bak den posen ligger 50 000 ukeplaner, tre dagligvarekjeder, et tollvern bygd på priser fra åttitallet og en bonde som sådde i mai uten å vite om noen kom til å kjøpe avlinga. Noen sitter og planlegger hvem som skal dyrke hva, hvor, og hvor mye.Gunn Jorun Sørum er organisasjonssjef i Gartnerhallen, samvirket som eies av rundt 1000 grøntprodusenter. Omtrent 65 prosent av all norsk frukt og grønt går gjennom dem på vei til butikken. Hun vokste opp med en far som er bonde, har vært styreleder i Norges Bygdeungdomslag og bygget opp nettstedet norsktradisjonsmat.no før hun kom til Gartnerhallen i 2020.Vi starter med selve planleggingen, det hun kaller tinder for grøntproduksjon, og hvorfor grøntbonden lever med en helt annen risiko enn melke- og kjøttbonden, med over 90 prosent av inntekta fra markedet og nesten ingenting i tilskudd. Vi tar historien om krisa på nittitallet, da Gartnerhallen mistet både Rema og Hakon-gruppen og måtte finne opp seg selv på nytt. Jeg tar opp kritikken jeg har hørt fra andre gjester og fra produsenter: at de sitter i Bamas lokaler, at leveringsavtalene er uklare, og at noen rett og slett ikke tør å si hva de mener høyt. Vi snakker om matsvinn, om økologisk grønt som nesten har forsvunnet, og om offentlige kjøkken som kjøper halvparten så mye norsk som butikken gjør.Og så er det den andre siden av dette. Norskandelen har økt 10 prosent på ti år. Agurken er over 80 prosent norsk, og tomatsesongen strekkes lenger inn i vinteren. Det testes aprikos og fersken i Lærdal, det dyrkes hvitløk på Stange, og norsk bakepotet er på vei. Gunn Jorun kaller grøntprodusentene ei framtidsnæring, og etter halvannen time skjønner jeg hvorfor.God fornøyelse!00:00:00 Intro00:00:45 Fra Hamar til studio00:01:31 Hvorfor frukt og grønt angår alle00:03:05 Fra 4H til Gartnerhallen00:07:03 Hva en organisasjonssjef gjør00:07:37 Den underkommuniserte delen av landbruket00:09:44 Risikoen grøntbonden lever med00:11:01 Da fotball-VM stoppet potetsalget00:12:12 Hva er egentlig Gartnerhallen00:14:09 Hvorfor bøndene ikke gjør dette selv00:15:26 Hvem bestemmer hvem som dyrker hva00:16:22 Tinder for grøntproduksjon00:19:19 50 000 ukeplaner i Excel00:19:50 Regelverket for fordeling av produksjon00:22:23 Fra 1930 til eksistensiell krise00:25:32 Avtalen som endret alt00:26:34 Mottaksplikt og markedsregulering00:28:36 Når butikken ikke har norske epler00:29:38 Tollvern bygd på priser fra 80-tallet00:34:18 Kartet over norsk frukt og grønt00:37:55 Norskandelen opp og målene framover00:39:41 Er Gartnerhallen for tett på Bama00:43:44 Kritikken om leveringsavtaler00:45:45 Priser, planer og ingen mottaksplikt00:49:59 Dispensasjoner og gardsutsalg00:53:30 Er det vanskelig å komme inn00:56:40 Flere små produsenter enn du tror00:58:13 Produsentene som ikke tør å snakke01:01:48 Matsvinn fra jordet til pakkeriet01:04:01 Estetiske krav og krokete grønnsaker01:06:45 Lager, teknologi og halvert støtte01:09:56 Matsvinntallene går riktig vei01:11:51 Ketchup, rotmiks og slapp sylteagurk01:16:07 Økologisk frukt og grønt i knestående01:17:56 Hvorfor økoblomkålen koster det dobbelte01:20:31 Offentlig innkjøp og norskandelen01:26:03 Nederlandsk løk mandag morgen01:29:11 Kommunene som går foran01:30:51 Mot 2035: risiko og investeringer01:34:33 Beredskap og Grofondet01:36:03 Bærekraft som konkurransefortrinn01:37:38 Vi spiser for lite frukt og grønt01:40:18 Aprikos, hvitløk og norsk bakepotet01:42:14 Mas på butikksjefen

Onsdag aften den 26. september 1962 slog Danmark Holland 4-1 i Københavns Idrætspark, og kort før tid tvang en skade hollænderne til at sende en ung reservemålmand fra Amsterdam på banen: Jan Jongbloed.Han måtte vente tolv år på sin næste landskamp, da hans gode spil med fødderne sendte ham ind i varmen i den hollandske totalfodbold. Trods hans rygnummer 8 var det dog stadig som målmand, at han deltog i to VM-finaler i træk, da Holland både tabte til Vesttyskland i 1974 og til Argentina i 1978.I denne episode følger vi Jongbloed fra DWS i Amsterdam over konflikterne i det hollandske landshold til en lang og flot karriere, der først sluttede, da han var 44 år gammel.

0:00 Intro & matchanalys2:20 Veckans svep6:43 Magnus spanar6:50 Herrallsvenskan8:28 Allsvenskan norra damer9:43 Allsvenskan södra damer17:07 Veckans gäst: Daniel Jernberg18:10 SSL dam – hur slutar serien?31:32 Raja Thorén & Thoréns framgångar36:45 VM & förbundskapten42:35 Täbys nya spelsätt49:11 Snabba frågor, snabba svar50:19 Täby som innebandyförening55:11 Nya regler i innebandyn58:04 Spelare att hålla koll på59:34 Avslutning Hosted on Acast. See acast.com/privacy for more information.

Det är inte lätt att podda när man är CHOCKAD över ett av de sjukaste VM-loppen vi bevittnat. Men vi gör vårt bästa för att sammanfatta en fantastisk VM-vecka i Montreal. Med svenska ögon imponeras vi av Jakob Söderqvist, firar med Elias Wändel och skickar våra varmaste krya på dig-hälsningar till Caroline Andersson!

Once you have a few years of buying behind you, the hardest part of the job is rarely the product or the numbers. It is getting your range decisions through the business when your merchandiser, supply chain, allocation team and senior managers all have a different view of what the range should be. In this episode, Elisabeth shares how experienced fashion buyers handle push-back, difficult people and tough conversations across the product development process, from concept to the shop floor.In this episode:• Why most "difficult" colleagues are working to a different number, and how to turn an intake cut into a conversation about phasing• The three types of people who are hardest to work with in a buying office, and a different approach for each• How to stay calm and commercial when your range is criticised in front of senior managers•  How to build influence with supply chain, allocation, VM and technical teams when you have no direct authority over them To see where your strengths sit as a buyer and which areas are worth working on next, take the free Buyer-Ready Assessment: If you would like to develop your fashion buying knowledge from concept to customer, explore the Thrive in Fashion Buying and Merchandising course at designdirectiveme.com

Kva skal til for å bli god i håndbak – og kva skjer når ein kombinerer treningsglede, konkurranseinstinkt og viljen til å bli betre?I denne episoden møter vi brørne Adrijan Martiin og Emre Lundsvoll-Myhre, som begge brenn for håndbak. Emre har mellom anna konkurrert i NM i U18-klassa under 65 kilo, medan Adrijan kombinerer interessa for sporten med læretid innan fiskeoppdrett.Om litt skal Emre representere Norge i VM i India!Vi snakkar om trening, konkurransar, meistring og miljøet rundt Lindas Gym. Korleis er det å førebu seg til store meisterskap? Kva krevst for å utvikle seg – og kva er det som gjer håndbak så fascinerande?Ein episode om styrke, fellesskap, ambisjonar og gleda ved å bryne seg på andre.--- Bli støttespiller for Sunnhordlandpodden: I dag har podkasten ingen sponsor. Det er ikkje alltid like lett å få sponsorar til kvar episode av Sunnhordlandpodden – men heldigvis finst det ein liten gjeng som støttar podkasten som støtteabonnentar.For 29 kroner i månaden er dei med og gjer det mogleg å halde podkasten i gang. Slike bidrag betyr meir enn du kanskje trur, og gjer det lettare å lage nye episodar som løfter fram spennande folk og gode historier frå Sunnhordland.Har du glede av podkasten og har lyst til å vere med og heie? Då kan du bli støttespelar. Gå inn på: ⁠⁠⁠⁠⁠⁠⁠https://creators.spotify.com/pod/profile/sunnhordlandpodden/subscribe ⁠

VM-kvalhjälten Gustav Lundgren om comebackplanerna – det blir spel redan i år! Sotirios Papagiannopoulos däremot får sikta in sig på nästa säsong – men blir det något träningsläger? AIK hotar stryka det pga ekonomin – vad tycker ”Sotte om det? Elfsborgs-tränaren Björn Hamberg om skiftet från landslaget till gulsvart – och succén på slutet. Och så Alexander Farnerud om nya jobbet i Öis, Linus Wahlqvist Egnell om kampen för en ny landslagchans. Och så avslutar vi med Quiz. Medverkande: Axel Pileby, Nordin Gerzic, Jiloan Hamad, Olof Lundh, Gustav Lundgren, Björn Hamberg, Alexander Farnerud, Sotirios Papagiannopoulos, Linus Wahlqvist

Världsmästaren är korad, han heter Robert Lambert och är lagkapten för Västervik Speedway.Jonathan berättar om den mäktiga upplevelsen på plats i Torun där Lambert säkrade sitt första VM-guld efter en dramatisk GP-final inför ett kokande MotoArena. Det blir snack om stämningen, polska reaktioner, Bartosz Zmarzliks förlust och varför VM-avgörandet rankas som en av de största idrottsupplevelserna på många år.Dessutom blickar vi framåt mot 2027 års Speedway of Nations i Västervik, diskuterar GP-kalendern och börjar syna nästa säsongs lagbygge. Kör Robert Lambert vidare i Västervik? Hur viktiga är Villads Nagel och de nya U21-reglerna? Och vilka namn kan vara aktuella när silly season nu drar i gång på allvar?Plus: rykten, lagbyggen, hockeysnack (VIK:s start) och allt det senaste från den lokala idrottsvärlden.

Vi pratar om att bygga en egen sandstrand på tomten, även om du inte bor vid vattnet. Vi kollar in VM i städning, utfällbara hus och om en riktigt härlig toalett samt en riktigt dyr toalett. Och för att vara en podd om bostäder pratat vi orimligt mycket om bilar och körkort. Vi pratar om mannen som blev av med körkortet för att han var för arg i trafiken och vi går igenom ett gäng körkortsfrågor. Allt detta och mycket mer. Happy lyssning!!Är du mäklare eller köpare och varit med om något galet eller kul? Skriv till oss på instagram @hemilyknarkarnaNya avsnitt varje måndag, och fredags-repriser på…..

Det var så tæt på. Og så alligevel ikke. Det danske herrelandshold i fodbold tog til Norge, og resultatet blev som forventet. I hvert fald når det gælder antallet af point. Men historien om kampen er mere kompleks end som så. For der var glimt af positive takter fra Brian Riemers tropper. Til gengæld så vi også mange af de ting, der i sidste ende kostede danskerne VM-deltagelsen. Så hvor efterlader det os? Andreas Kraul og Kenneth Møller Pedersen sidder på tribunen i Oslo og hjælper med at dissekere en landskamp, som næsten gav flere spørgsmål end svar. Vært: Emil Schiønning Gæster: Andreas Kraul og Kenneth Møller Pedersen

Henrik Rongedal och Magnus Rongedal möter Rachel Mohlin och Mats Lekander i Lantzkampen. Lyssna på alla avsnitt i Sveriges Radios app. I lag Rongedal har vi stjärnmusikerna Henrik Rongedal och Magnus Rongedal och i lag Rachel och Mats har vi stjärnskådespelaren Rachel Mohlin och föreläsnings-, musik- samt KI-stjärnan Mats Lekander! Gör man om SD:s valaffischer till bikupor i Heby? Har ett ”Sound of music”-museum öppnat i Österrike? Gjorde Elisabeth Thand Rinqvist och hennes kompisar “Kryssa för Elisabeth”-knappar i keramik i hennes första personvalskampanj? Och kraschade hemsidan när Dalarnas Museum släppte stickningskitet för VM-mössan inför skid-VM i Falun nästa år? Äntligen fredag!Programledare: Annika LantzDomare: Sara LövestamProducent: Rickard Nerbe Tekniker: Brady Juvier

Edy Modica was so fun on the first season of Jury Duty, so when we saw she was promoting her debut stand-up special I'm Just Like You (And It Sucks) (Now on YouTube!), we said we gotta talk to her! Edy joins us to talk about how some things in her childhood shaped her love of chaos, how her therapist was *too* positive, wanting every moment to be A Moment, her boyfriend's good boundaries, how meds helped with some obsessive tendencies, what a charcuterie board reveals about Edy's emotional state and SO MUCH MORE! PLUS, obvi, we answer YOUR advice questions! If you'd like to ask your own advice questions, call 323-524-7839 and leave a VM or just DM us on IG or Twitter!See Naomi and Aparna work-out new material at the Elysian Theater! BUY A SUPER CUTE "Open Your Hearts, Loosen Your Butts" mug! Also, we're in culture critic and Vulture writer Sean Malin's book The Podcast Pantheon: 101 Podcasts That Changed How We Listen! And:Support the show on Patreon (two extra exclusive episodes a month!) or gift someone a Patreon subscription! Or get yourself a t-shirt or a discounted Quarantine Crew shirt! And why not leave a 5-star review on Apple Podcasts? Or Spotify? It takes less than a minute! Follow the show on Instagram! Check out some CT clips on YouTube!Plus some other stuff! Watch Naomi's Netflix half hour or Mythic Quest! Check out Andy's old casiopop band's lost album or his other podcast Beginnings!Theme song by the great Sammus! Hosted on Acast. See acast.com/privacy for more information.

Forhjulslir præsenteres i samarbejde med Continental Dæk Danmark. Continental er det mest vindende dæk i WorldTour-feltet. Enric Mas vandt Vueltaen og Del Toro sejrede i Montreal - selvfølgelig på Conti-dæk. Sikkerhed starter med dækket - både på motorvejen og cykelstien. Vi stiller skarpt på VM i Montreal. Søndagens enkeltstart, Remcos fjerde triumf i træk og selvfølgelig linjeløbet på søndag over 270 km. Nationerne, favoritterne, scenarierne og danskerne. Det er en af sæsonens højdepunkter. Vi glæder os.  Den tidligere danske landstræner, Anders Lund, er også med på linjen undervejs, hvor han kommer med sine takes, forventninger og erfaringer.  Medvirkende: Emil Mielke Vinjebo, Per Bausager og Anders Mielke

Mimir er aktuell med fotballboka som sutter videre på VM-stemningen i sommer. Han syns vi bør snakke mindre om netthets og heller få ut gørra gjennom baksnakking. Og snakke mer om NAV-ere.

Här kommer ett avsnitt från juli 2026 som Begynners med Premium på Podme redan har hört! Signa upp dig här för att bli en del av familjen

VOV1 - Trước diễn biến thời tiết thất thường, mưa dông và nguy cơ sâu bệnh gia tăng, Hà Nội đang triển khai đồng bộ nhiều giải pháp nhằm nâng cao hiệu quả bảo vệ, chăm sóc cây trồng, bảo đảm năng suất và chất lượng nông sản.Vụ Mùa năm 2026, toàn thành phố gieo cấy khoảng 58.200 héc-ta lúa. Đến ngày 18 tháng 9, nông dân đã thu hoạch gần 11 nghìn héc-ta, đạt 17,8%, tập trung tại các địa phương có trà lúa sớm. Thành phố yêu cầu các địa phương đẩy nhanh thu hoạch diện tích lúa đã chín theo phương châm “xanh nhà hơn già đồng”, đồng thời chủ động tiêu úng, khơi thông dòng chảy, vận hành trạm bơm và huy động máy bơm dã chiến tại những vùng ngập sâu.Cùng với đó, ngành nông nghiệp tăng cường kiểm tra đồng ruộng, hướng dẫn nông dân chăm sóc và phòng trừ sâu bệnh đúng kỹ thuật. Bệnh đốm sọc vi khuẩn đang xuất hiện cục bộ trên một số giống lúa, nhất là tại những ruộng bón thừa đạm, với tỷ lệ bệnh phổ biến từ 5 đến 10% số lá.Hà Nội cũng khuyến khích áp dụng quản lý sức khỏe cây trồng tổng hợp, ưu tiên biện pháp sinh học, thủ công và vật lý, giảm phụ thuộc vào thuốc bảo vệ thực vật. Công tác kiểm tra an toàn thực phẩm được tăng cường từ vùng trồng, gắn với số hóa dữ liệu và truy xuất nguồn gốc.Các địa phương cần tiếp tục theo dõi sát thời tiết, sinh vật gây hại, chăm sóc cây trồng đúng quy trình và chuẩn bị tốt cho vụ đông 2026–2027./.Bà con xã viên tranh thủ thời tiết tạnh ráo xuống đồng bó, dựng lúa

In this insightful episode of The Brand Called You, host Ashutosh Garg is joined by Air Marshal Anil Khosla (Retd.), PVSM, AVSM, VM, Former Vice Chief of Air Staff, Indian Air Force.Drawing on four decades of service, Air Marshal Khosla reflects on defining experiences from Kargil to Doklam and Balakot, while exploring the rapid evolution of air and space warfare.The conversation covers the growing role of drones and AI, China's military mindset, military-civil fusion, information and cognitive warfare, India's strategic vulnerabilities in space, and the technologies shaping the future of aerospace capabilities.Whether you are interested in defence strategy, technology, aerospace, leadership, or global security trends, this conversation offers valuable perspectives on resilience, preparedness, and adapting to an evolving strategic environment.

Avsnitt 521 av Sveriges nyfiknaste podd gästas av Melker Ellborg. Sunderlands svenska målvakt är uttagen i den svenska Nations League-truppen och talar om glädjen att återigen få vara med i landslaget igen, om upplevelsen att vara en del av den svenska playoff-truppen i mars, om den stora besvikelsen över att sedan bli ratad till VM, om vad Potter tillförde till landslaget, om det vänliga sms:et från målvaktsrivalen, om respekten för Kristoffer Nordfeldt och om att Robin Olsen visat att man kan leverera i landslaget trots klent med speltid i klubblaget.Dessutom berättar Ellborg om varför det blev Malmö FF och inte Kalmar FF som ung Kalmar-talang, om den viktiga utbildningen han fick i MFF:s akademi, om lärdomarna från att gå på lån till olika klubbar, om att lära sig hantera motgångarna, om genombrottet i Malmö, om att hantera intresset från klubbar i Tyskland och England, om varför han valde Sunderland, om att han fick kolla på kartan var staden låg, om rekordsumman som klubben betalade, om varför han slutade se dokumentären Sunderland Til I Die efter några avsnitt, om nerverna inför Premier League-debuten, om varför han blev ratad i klubbens Europa-trupp, om överraskningen att MFF floppade under Miguel Angels Ramirez och om hur Malmö ska lösa krisläget. Hosted on Acast. See acast.com/privacy for more information.

Der var tårer i luften og kuldegysninger på armene i Hillerød, da Holger Rune endelig gjorde sin længeventede entré tilbage på den professionelle scene. Danmark slog Bulgarien i Davis Cup, og den danske verdensstjerne kvitterede med to sejre og en debut, som han ikke kunne have skrevet bedre selv. Men er det hele nu så rosenrødt? Det er trods alt ikke topspillere, han har slået. Kresten Mosbæk fortæller i dagens program, hvorfor han mener, at Rune faktisk er på helt rette vej. Torsdag er der fest i Oslo. De norske fodboldfans skal se deres helte spille på hjemmebane for første gang siden VM-triumfen. På menuen står et dansk landshold, som efterhånden har flere spørgsmål end svar. Det er i hvert fald den følelse, Emil sidder med i studiet. Andreas Kraul ordinerer lidt koldt vand i blodet. Bolden er rund, og Danmark har fået et nyt supervåben på bænken. Vært: Emil Schiønning Gæster: Kresten Mosbæk og Andreas Kraul

Sean Emory, founder and CIO at Avory & Co., breaks down Meta Muse after its first week at number one in the App Store. He walks through what Muse actually is, a personal agentic app that plugs into Meta's ecosystem across Instagram, Facebook, and WhatsApp and delivers on what Zuckerberg has been calling personal superintelligence.The viral use cases are real. People are sourcing cheaper auto insurance quotes, canceling forgotten subscriptions, and getting hundreds of dollars of value back in the first week. Sean explains why the product actually works, and why Meta's computer use approach, running secure virtual browsers on a per-user VM, outperforms the older connector-only stack.The core thesis: an agent needs three things to be useful. It needs to know you, it needs to reach you, and it needs to act for you. Meta is the only company at consumer scale that has all three natively. Sean walks through his own scheduled Muse tasks, including a monthly cheapest-per-ounce seltzer run across Instacart and Amazon, and a daily baseball-schedule check for his son that quietly adds new games to his calendar.He also gets into the piece nobody is talking about, the brand inflection. Consumers just handed Meta access to their bank accounts, calendars, and payments. That is a shift the market has not priced. The ripple hits ChatGPT and Anthropic. ChatGPT is going to start looking a lot more like Muse. Anthropic has a real on-ramp problem if the consumer market gets split between Meta and OpenAI.Chapters00:00 Muse goes viral01:28 What Muse is02:58 Money-saving use cases04:11 Why it actually works07:24 Why Meta wins11:53 My personal workflows13:18 Brand trust shift15:11 Competitive fallout17:31 How Meta monetizes19:40 Risks and what we watch21:23 Closing takeawaysFollow Avory & Co.Website: https://avoryfunds.comNewsletter: Investing with DataYouTube: https://youtube.com/@avorycoDisclosureFor educational purposes only. Not investment advice. Avory & Co. and Sean Emory may hold positions in the companies discussed.

Hemliga möten, korruption och mutor. Måste det se ut så här i toppen av världsfotbollen? Lyssna på alla avsnitt i Sveriges Radios app. Sommaren 2026 slår fotbollen rekord i intäkter när VM spelas i Nordamerika. Men de enorma summorna sporten spelar in har också fört med sig hemliga uppgörelser där anklagelserna om korruption aldrig vill ta slut.Internationella Fotbollförbundets ordförande Gianni Infantino rör sig gärna bland världens mäktigaste. Att hålla sig väl med FIFA-toppen kan leda till lukrativa avtal kring mästerskap, hjälpa till att putsa upp politiska profiler som behöver ny strålglans - eller varför inte - se till att önskan om att vinna ett fredspris blir verklighet.Hur blev det så här? Och går det att göra något för att få stopp på mutor och skandaler?Medverkande: AIK-supportrar, Jules Boykoff, författare och professor vid Pacific University i USA, Olof Lundh, fotbollsjournalist på TV4, författare och grundare av Fotbollskanalen, journalisten och författaren Karim Zidan, Tariq Panja, sportkorrespondent för New York Times och Alan Tomlinson, professor vid Brighton University som ägnat ett liv åt att studera fotboll och makt.Reportar: Therese Rosenvinge och Dag Malmqvist, Radiosporten.Programledare: Fernando Ariasfernando.arias@sr.seProducent: Ulrika Bergqvistulrika.bergqvist@sr.seTekniker: Victor Bortas Rydberg.

Rødt-politiker Mímir Kristjánsson dro til USA for å skrive bok om Norges første fotball-VM på 28 år. Der møtte han norske supportere, eufori, vikinghjelmer, allsang – og han kom hjem til et Norge som plutselig ønsket å ro i takt. Programleder Lars Glomnes startet sommeren med å forakte hele estetikken, men noen uker senere satt han selv på Karl Johan og rodde. Hva var det egentlig som skjedde? Kristjánsson mener både VM-jubelen og folkesorgen etter kong Haralds død viser at nordmenn kan, og vil, ha et nasjonalt fellesskap.

B-laget gir deg en håndbok for de siste tre-fire årene som mennesker. Ellers litt om Nations League, tyske pensjonistspillere, katteklor og stivkrampe. Rekker vi VM i 20230?See omnystudio.com/listener for privacy information.

Sanjana and Tyler kick off the show imploring sports romance to look beyond hockey—and then Lily Herman joins to talk about why Formula 1 is perfect genre fodder. Plus: a VM from listener Danielle gets Sanj and Tyler into the tropes and choices that can turn them off a book, along with their DNF philosophies. Also, reminder: We love voicemails! Reach us at 833-831-LOVE. The sports romance wishlist: more WNBA, ice dancing, and skiing, with mentions of Heated Rivalry by Rachel Reid, Rooting Interest by Cat Disabato, Finding Her Edge on Netflix, Off Course by Julie Cook, and Can I Tell You Something? by Holly June Smith. Lily Herman—who hosts the podcast No Grip and writes the newsletter Engine Failure—on Formula 1 romance, from Drive to Survive and the Lewis Hamilton–Nico Rosberg rivalry to her recs Crash Test by Amy James and Faster by Andie J. Christopher. Hang with Sanj and Tyler in person at RomCon on Oct. 24 in Brooklyn. See omnystudio.com/listener for privacy information.

I dag får vi ett innblikk in i Øystein, Eirin og Bjørns kriminelle fortid. Mímir Kristjánsson kommer på besøk for å prate om både fotball-VM og vennskapet med Erlend Mørch. Øystein tøyer strikken med å gå i sokkelesten på jobb i dag, men er det egentlig greit? Svaret kan du høre i dagens episode! Episoden kan inneholde målrettet reklame, basert på din IP-adresse, enhet og posisjon. Se smartpod.no/personvern for informasjon og dine valg om deling av data.

VOV1 - Tại tỉnh Thanh Hóa, đêm qua tiếp tục có mưa vừa đến mưa to. Mực nước trên nhiều tuyến sông chính đang dâng cao. Đáng chú ý là trên sông Mã và sông Bưởi dâng cao khiến hàng trăm hộ dân các xã Kim Tân, Thành Vinh, Thạch Quảng (huyện Thạch Thành cũ) ngập sâu.Đêm qua trên địa bàn tỉnh Thanh Hóa tiếp tục ghi nhận có mưa vừa đến mưa to, nước sông Bưởi chảy qua các xã Thành Vinh, Thạch Quảng và Kim Tân dâng cao, gây ngập cục bộ, chia cắt nhiều nơi. Đáng chú ý là xã Thành Vinh hơn 300 hộ với 1.136 khẩu bị ngập. Xã đã tổ chức di dời hàng chục hộ dân ở khu vực ngập sâu, vùng có nguy cơ sạt lở đất đến nơi an toàn. Xã Thạch Quảng và xã Kim Tân cũng ghi nhận tình trạng ngập tương tự. Bà Bùi Thị Yến, Trưởng thôn Lâm Thủy, xã Thạch Quảng cho biết."Ban thôn huy động mọi nguồn lực để hỗ trợ bà con di dời tài sản đến nơi đảm bảo an toàn. Tuyên truyền người dân không đi lại những khu vực nguy hiểm.Để ứng phó với mưa lũ, UBND các địa phương này đã huy động lực lượng ứng trực 24/24 tại những đoạn đường ngập sâu. Đồng thời căng dây, cắm biển cảnh báo cấm người và xe cộ qua lại tuyến đường trên để đảm bảo an toàn. Di dời người dân khu vực ngập sâu đến nơi an toàn, đồng thời tuyên truyền hướng dẫn người dân hạn chế di chuyển khi không cần thiết. Ông Võ Mạnh Sơn, Bí thư Đảng ủy xã Nông Cống cho biết,"Chúng tôi đã chủ động các phương tiện theo tinh thần bốn tại chỗ, như là mua thêm 8 cái xuồng để phục vụ trực tiếp cho việc ứng cứu nhân dân khi có tình huống bão lụt xẩy ra. Ngoài ra các phương tiện tại chỗ như cọc tre, rồi là các nguyên vật liệu để phục vụ trực tiếp cho việc gia cố đê, rồi các nhiệm vụ cụ thể đối với Nông Cống đã chỉ đạo, chuẩn bị sẵn sàng.Trong khi đó, khu vực miền núi ghi nhận tình trạng sạt lở tại nhiều điểm trên các tuyến giao thông, ngập chia cắt tại các ngầm tràn. Trước diễn biến mưa lớn kéo dài, hàng nghìn học sinh đã được cho nghỉ học, đảm bảo an toàn.Chiều tối qua, ngày 16/9/2026, Ban Chỉ huy Phòng thủ dân sự tỉnh Thanh Hóa cũng đã ban hành Công điện khẩn, yêu cầu các đơn vị, địa phương chủ động triển khai các biện pháp ứng phó, khẩn trương sơ tán người dân, chủ động ứng phó lũ lớn trên các tuyến sông./. Sỹ Đức/VOV1Để ứng phó với mưa lũ, UBND các địa phương này đã huy động lực lượng ứng trực 24/24 tại những đoạn đường ngập sâu. Ảnh xã Thành Vinh.Đáng chú ý là xã Thành Vinh hơn 300 hộ với 1.136 khẩu bị ngập. Xã đã tổ chức di dời hàng chục hộ dân ở khu vực ngập sâu, vùng có nguy cơ sạt lở đất đến nơi an toàn. Ảnh xã Thành Vinh.

Det bobler i den grønlandske filmundergrund, og de nye stemmer hjælper hinanden på vej. Filmskolen fylder 60, en dansk kok skal til VM i paella, færøske musikere sender en musikalsk flaskepost til New Zealand, og Benjamin Netanyahu vil inddrage israelske filmskaberes statsborgerskaber. Vært: Morten Runge Medvirkende: Arina Kleist: Filminstruktør og -producent Kristoffer Hegnsvad: Rektor på Den Danske Filmskole Jimmy Holm: Kok og ejer af restaurant Los Socios Niels Lillelund: Mad- og vinredaktør på Jyllands-Posten Andreas Tykjær Restorff: Musiker, Færøerne Lasse Thorning Jæger: Musiker, Færøerne Lasse Winther Jensen: Litteratur- og filmkritiker på Weekendavisen Mathilde Johanne Kristiansen: Kulturjournalist på Soundvenue Producer: David Turner Redaktør: Lasse Lauridsen

Yankees Postgame - Did The Yanks Take The Series Vs. The Twins? | Full Recap & Fan Reactions Full recap, key moments, analysis, and real fan reactions with the NYY Underground crew.

Forhjulslir præsenteres i samarbejde med Continental Dæk Danmark. Continental er det mest vindende dæk i WorldTour-feltet. Enric Mas vandt Vueltaen og Del Toro i Montreal - selvfølgelig på Conti-dæk. Sikkerhed starter med dækket - både på motorvejen og cykelstien. Årets tredje og sidste Grand Tour er kørt. La Vuelta es más - sådan lyder løbets slogan. Og det blev også Enric Mas' Vuelta. Det var en stor Grand Tour for spansk ciclismo - for Movistar, Mas og Landa. Men hvad vil vi huske Vueltaen 2026 for? Og hvad blev det for en Grand Tour, da Pogacar styrtede ud?  Vi vender også den første italienske efterårsblok af endagsløb samt de canadiske væddeløb: Quebec og VM-generalprøven i Montreal - hvilken udvikler en større VM-snak om Remco, Del Toro, Seixas, MVDP, WVA og Mads P.  Medvirkende: Emil Mielke Vinjebo, Per Bausager og Anders Mielke

VOV1 - Ở những khu vực thường xuyên chịu ảnh hưởng của thiên tai như xã Nông Cống, người dân không chờ nước lũ về mới ứng phó mà đã chủ động chằng chống nhà cửa, bảo vệ tài sản, chuẩn bị lương thực, thực phẩm, với phương châm phòng là chính.Chiều muộn, căn nhà ông Lưu Văn Thạch ở thôn Vạn Thiện, xã Nông Cống nước lũ bắt đầu dâng vào nhà. Rút kinh nghiệm trận lũ năm trước do chủ quan, gây thiệt hại, ông Thạch và người dân thôn Vạn Thiện chủ động kê cao tài sản, dự trữ lương thực, ứng cứu những ngày mưa lũ. "lúa đưa lên hết rồi, ti vi, tủ lạnh là nước lên đến đâu đưa đến đó. Khi nước to là phải lên trần thôi, chuẩn bị trên trần rồi. Vì mưa nhiều ngày quá, từ giờ đến tối nước còn lên nữa" - ông Lưu Văn Thạch cho biết.Rút kinh nghiệm từ trận lũ năm 2025, người dân ở thôn Vạn Thiện đã tiến hành quây kín trần nhà, phòng khi nước lớn có chỗ tránh trú. Anh Nguyễn Văn Long, Thôn Vạn Thiện cho biết. "năm trước bị rồi thì năm nay là dân cũng biết, cứ mưa là kê hết đồ lên. Tạm thời đang cầm cự được. Người già, trẻ nhỏ khi nước lên thì chuyển đi nơi khác" - anh Nguyễn Văn Long cho biết.Cùng với người dân, cấp ủy, chính quyền xã Nông Cống đã chỉ đạo các lực lượng chức năng tăng cường kiểm tra những khu vực xung yếu, rà soát phương án sơ tán dân, chuẩn bị lực lượng, phương tiện và nhu yếu phẩm theo phương châm “4 tại chỗ”. Ông Võ Mạnh Sơn, Bí thư Đảng ủy xã Nông Cống cho biết: "Năm nay đối với Nông Cống, chúng tôi đã chủ động các phương tiện tại chỗ theo tinh thần bốn tại chỗ, như là mua thêm 8 cái xuồng để phục vụ trực tiếp cho việc ứng cứu nhân dân khi có tình huống bão lụt xẩy ra. Rồi cử anh em đi học lái xuồng rất là bài bản, ngoài ra các phương tiện tại chỗ như cọc tre, rồi là các nguyên vật liệu để phục vụ trực tiếp cho việc gia cố đê, rồi các nhiệm vụ cụ thể đối với Nông Cống đã chỉ đạo, chuẩn bị sẵn sàng.Không chỉ Nông Cống mà các xã khu vực có nguy cơ ngập lụt, các lực lượng chức năng nhiều ngày qua đã thường trực, hỗ trợ người dân di chuyển đồ đạc, tài sản đến nơi an toàn. Tại nhiều địa bàn, các tuyến đường, cầu cống, khu vực ven sông, suối được kiểm tra để kịp thời phát hiện những điểm mất an toàn. Công tác tuyên truyền, cảnh báo cũng được đẩy mạnh nhằm giúp người dân nắm rõ diễn biến thời tiết và chủ động phòng tránh. Ông Đặng Văn Quang, Chủ tịch UBND phường Tĩnh Gia cho biết: "Chúng tôi đã chỉ đạo các thôn, rồi các đơn vị tổ chức khơi thông các hệ thống kênh mương thoát nước, xử lý những địa điểm ngập cục bộ. Về lâu dài phải đầu tư hệ thống hạ tầng đồng bộ cho người dân".Bên cạnh ngập lụt, tình trạng sạt lở cũng xảy ra tại nhiều điểm trên các tuyến giao thông, đặc biệt khu vực miền núi, gây ách tắc giao thông. Đáng chú ý là khu vực các xã Nhi Sơn, Mường Lát, Pù Nhi, Quan Hóa, Quan Sơn. Theo thống kê sơ bộ có khoảng 11 điểm trên các tuyến tỉnh lộ bị ngập gây tắc đường, như: đường tỉnh 505B, 530D, 518, 519B, 520B 530B. Tại hệ thống đường liên thôn, liên xã, có 64 vị trí ngầm tràn bị ngập, với chiều sâu từ 0,5m trở lên. Một số địa phương bị ảnh hưởng nhiều như xã Tân Thành, xã Thanh Kỳ, Thượng Ninh, Thanh Phong.  

Landstræner Brian Riemer har udtaget sin trup til de kommende fire Nations League-kampe. Det er første gang, Danmark skal spille afgørende kampe, siden den kiksede VM-kvalifikation, og der er pres på den danske landstræner, der skal levere fra først fløjt i næste uge. Allerede i weekenden er Holger Rune endelige tilbage efter 11 måneders skadespause. Han spiller Davis Cup for Danmark, der møder Bulgarien, og det kommer til at give en masse svar. Hvilken udgave af Holger Rune er det, der vender tilbage? Hvad med fysikken? Og hvad med presset? I weekenden kommer verdens bedste løbere også til Danmark, når der er VM i København. Den danske rekordinehaver på halvmaraton, Jacob Simonsen, tager til hovedstaden med drømmen om en topplacering. Vært: Emil Schiønning. Medvært: Mikkel Nygaard. Gæster: Fodboldkommentator Andreas Kraul, tennisreporter Kresten Mosbæk og løber Jacob Simonsen.

Jonas Colting är en pionjär inom triatlon i Sverige. Den karismatiske Boråsaren lämnade en simkarriär bakom sig och blev en av de första svenskarna någonsin att etablera sig globalt inom den då relativt nya sporten triatlon. Utöver flertalet framskjutna globala placeringar på världsmästerskap (bla. två VM guld i Ultraman och VM silver samt VM brons i långdistans) så har Jonas gjort en hel del utmaningar som verkligen utmanat vad människokroppen är kapabel till över tid, simma från Stockholm till Göteborg, en svensk klassiker non-stop för att nämna några. I veckans avsnitt får vi en inblick i Jonas karriär, vad som fick honom att alltid vilja utmana sig själv, motionärens fallgropar och hans tankar kring åldrandet.  Ett samtal som innehåller mycket!  John ligger i uppladdning inför Lidingöloppet och har hunnit med 25k tröskel tillsammans med lillebror och 30k långpass med flickvännen.  Manne har haft en bra träningsvecka där långpassen sakteligen kommer smygande och formen är på uppgång!    Veckans Sponsorer: Aioss - med koden springsnyggt erhåller man 20% rabatt på de tre första leveranserna från aioss.se - Vitaminer, Mineraler, Växt och svampextrakt samt Probiotika i ett och samma pulver!    Propud - Prova Propuds nya lyxkvarg. Perfekt som mellanmål eller direkt efter passet med god smak och 20g protein.  Löplabbet - Håll koll på Löplabbets eventsida. Nyöppning av butik i Linköping med flertalet chanser till gemensamma pass och föreläsningar. Läs mer på Event   Saucony - Nya Paramount Max, en superdämpad sko som passar lika bra till långpasset som snällare tröskel. Finns i butik nu!   Missa inte heller sista Lidingöloppsförberedande passet ute på Lidingö den 17/9 tillsammans med Saucony, Löplabbet och Spring Snyggt - anmälan och info här - Anmälan Vår Resa till Playitas med Apollo! Det finns fortfarande platser kvar för en vecka med värme, bra träning, föreläsningar och återhämtning. Mellan den 4-11/12 med Spring Snyggt, Maria Akraka, Tobbe Gyllenbring, Fredrik Uhrbom och Evelina Elmgren. Läs mer och boka här! Löparresan

The woman who practically raised Naomi with her comedy, Aisha Tyler, is on the show today, and it was WONDERFUL! Now you know Aisha from a million things: Criminal Minds: Evolution, Friends, Whose Line Is It Anyway?, Talk Soup, Archer and so much more! And on today's episode we dig into her psyche and try to figure out where her positive attitude towards life comes from. Growing up in San Francisco, maybe? We'll find out! We also talk about her childhood as a nerdy outcast, how her positivity functions in a romantic relationship, learning "man shit" from her dad, the dangers of having someone clean your house, and of course, as always, we talk about rubbing a walnut on a wood floor scratch! PLUS, obvi, we answer YOUR advice questions! If you'd like to ask your own advice questions, call 323-524-7839 and leave a VM or just DM us on IG or Twitter!Get tickets to Naomi and Megan's online show A Night of Cinema! And see Naomi and Aparna work-out new material at the Elysian Theater! BUY A SUPER CUTE "Open Your Hearts, Loosen Your Butts" mug! Also, we're in culture critic and Vulture writer Sean Malin's book The Podcast Pantheon: 101 Podcasts That Changed How We Listen! And:Support the show on Patreon (two extra exclusive episodes a month!) or gift someone a Patreon subscription! Or get yourself a t-shirt or a discounted Quarantine Crew shirt! And why not leave a 5-star review on Apple Podcasts? Or Spotify? It takes less than a minute! Follow the show on Instagram! Check out some CT clips on YouTube!Plus some other stuff! Watch Naomi's Netflix half hour or Mythic Quest! Check out Andy's old casiopop band's lost album or his other podcast Beginnings!Theme song by the great Sammus! Hosted on Acast. See acast.com/privacy for more information.

See the full San Chay people group profile here: https://joshuaproject.net/people_groups/13474/VM. If you want to continue praying for the unreached, visit the Light the Nations Prayer Map to pray alongside the global church for the people groups with the least access to the gospel: prayermap.joshuaproject.net

Yankees Postgame - How DId Cole Do Vs The Mets? | Full Recap & Fan Reactions Full recap, key moments, analysis, and real fan reactions with the NYY Underground crew.

It's the second part of the What Went Wrong crossover extravaganza! Last week, we were guests on the fantastic podcast What Went Wrong discussing Hollywood couples that had some odd energy, and this week the hosts Chris Winterbauer and Lizzie Bassett join us as we put their friendship and emotions under the ol' Couples Therapy microscope! We discuss the decision to start a podcast with your best friend's wife (who is also your friend), the decision to have children, the emotional toll of the fires last year, the emotional toll of making a movie, secret darknesses, Chris' Jack Donaghy-like mind vise, Lizzie seeing Cabaret too many times as a child and SO MUCH MORE! PLUS, obvi, we answer YOUR advice questions! If you'd like to ask your own advice questions, call 323-524-7839 and leave a VM or just DM us on IG or Twitter!Get tickets to Naomi and Megan's online show A Night of Cinema! BUY A SUPER CUTE "Open Your Hearts, Loosen Your Butts" mug! Also, we're in culture critic and Vulture writer Sean Malin's book The Podcast Pantheon: 101 Podcasts That Changed How We Listen! And:Support the show on Patreon (two extra exclusive episodes a month!) or gift someone a Patreon subscription! Or get yourself a t-shirt or a discounted Quarantine Crew shirt! And why not leave a 5-star review on Apple Podcasts? Or Spotify? It takes less than a minute! Follow the show on Instagram! Check out some CT clips on YouTube!Plus some other stuff! Watch Naomi's Netflix half hour or Mythic Quest! Check out Andy's old casiopop band's lost album or his other podcast Beginnings!Theme song by the great Sammus! Hosted on Acast. See acast.com/privacy for more information.

Yankees Postgame - Subway Series Game 1 | Full Recap & Fan Reactions Full recap, key moments, analysis, and real fan reactions with the NYY Underground crew.

Yankees Postgame - Did Yankees Take Game 2? | Full Recap & Fan Reactions Full recap, key moments, analysis, and real fan reactions with the NYY Underground crew.

The algorithm gifted Hemlocke Springs to us, and thus we praise the algorithm! While we give a youthful appearance, in truth, we here at Couples Therapy HQ are nearly two centuries old and shut ins, so we rely on the algorithm to introduce us to new things, and we are thankful that it sluiced Hems' music into our feed because she is FANTASTIC! Maybe you've seen her live (she's on tour this fall supporting MUNA) or maybe you've heard her EP Going...Going...Gone! or debut album The Apple Tree Under the Sea? Well, no matter how much you know about Hems, you're gonna fall in love with her on today's ep! We talk reading smut, Hems teaches us about everything from Wattpad to feeling wheels, we discuss being too busy to date, getting therapized through TikTok, and of course, we ask, is America just a country-sized rage room? PLUS, obvi, we answer YOUR advice questions! If you'd like to ask your own advice questions, call 323-524-7839 and leave a VM or just DM us on IG or Twitter!Get tickets to Naomi and Megan's online show A Night of Cinema! BUY A SUPER CUTE "Open Your Hearts, Loosen Your Butts" mug! Also, we're in culture critic and Vulture writer Sean Malin's book The Podcast Pantheon: 101 Podcasts That Changed How We Listen! And:Support the show on Patreon (two extra exclusive episodes a month!) or gift someone a Patreon subscription! Or get yourself a t-shirt or a discounted Quarantine Crew shirt! And why not leave a 5-star review on Apple Podcasts? Or Spotify? It takes less than a minute! Follow the show on Instagram! Check out some CT clips on YouTube!Plus some other stuff! Watch Naomi's Netflix half hour or Mythic Quest! Check out Andy's old casiopop band's lost album or his other podcast Beginnings!Theme song by the great Sammus! Hosted on Acast. See acast.com/privacy for more information.

Yankees Postgame - How Did Aaron Judge Do In His Return? | Full Recap & Fan Reactions Full recap, key moments, analysis, and real fan reactions with the NYY Underground crew.

For the first time, husbands Joel Kim and John-Michael Booster are podcast guesting together, and baby, we get INTO IT! Now, you know Joel from his many appearances on this show, from TV shows like Loot and the first season of the Scrubs legacyquel, from the film he wrote and starred in Fire Island, his Netflix special Psychosexual and so much more! Well, now you get to meet his husband, video game designer John-Michael! John Michael works for Riot Games, the makers of League of Legends, so we have a real 2IPC here (Oh, you don't know the acronym I just made up, "Two Industry Power Couple"???). Anyway, on today's episode JK and JM talk about how they met coming out of lockdown in the early part of the pandemic, having a big wedding, making friends and enemies at Burning Man, integrating friend groups, radical honesty and SO MUCH MORE! PLUS, obvi, we answer YOUR advice questions! If you'd like to ask your own advice questions, call 323-524-7839 and leave a VM or just DM us on IG or Twitter!Get tickets to Naomi and Megan's online show A Night of Cinema! BUY A SUPER CUTE "Open Your Hearts, Loosen Your Butts" mug! Also, we're in culture critic and Vulture writer Sean Malin's book The Podcast Pantheon: 101 Podcasts That Changed How We Listen! And:Support the show on Patreon (two extra exclusive episodes a month!) or gift someone a Patreon subscription! Or get yourself a t-shirt or a discounted Quarantine Crew shirt! And why not leave a 5-star review on Apple Podcasts? Or Spotify? It takes less than a minute! Follow the show on Instagram! Check out some CT clips on YouTube!Plus some other stuff! Watch Naomi's Netflix half hour or Mythic Quest! Check out Andy's old casiopop band's lost album or his other podcast Beginnings!Theme song by the great Sammus! Hosted on Acast. See acast.com/privacy for more information.

Brendan Scannell is back, baby! It's been years since Brendan's been on the show (You know Brendan from Bonding and Heathers and tons of other great stuff!), and while he was out promoting his new live stand-up show The Abyss (see it in LA on Sept. 9th and 10th or in New York on Oct. 1st!), he dropped by the ol' virtual couch for an extensive look at what he's been up to the last few years. And it's been A LOT! Brendan went to rehab, he got sober, he's seeing a transformational therapist, he's been in a relationship for seven years... yow! And on today's episode, Brendan might even use his hard-earned wisdom to change Andy's life. We'll see! PLUS, obvi, we answer YOUR advice questions! If you'd like to ask your own advice questions, call 323-524-7839 and leave a VM or just DM us on IG or Twitter!BUY A SUPER CUTE "Open Your Hearts, Loosen Your Butts" mug! Also, we're in culture critic and Vulture writer Sean Malin's book The Podcast Pantheon: 101 Podcasts That Changed How We Listen! And:Support the show on Patreon (two extra exclusive episodes a month!) or gift someone a Patreon subscription! Or get yourself a t-shirt or a discounted Quarantine Crew shirt! And why not leave a 5-star review on Apple Podcasts? Or Spotify? It takes less than a minute! Follow the show on Instagram! Check out some CT clips on YouTube!Plus some other stuff! Watch Naomi's Netflix half hour or Mythic Quest! Check out Andy's old casiopop band's lost album or his other podcast Beginnings!Theme song by the great Sammus! Hosted on Acast. See acast.com/privacy for more information.

Sasheer hasn't been in the show in years, so we're catching up with her in a non-party setting and GETTING INTO IT! Now, obviously you know Sasheer Zamata from SNL, from Agatha All Along, Home Economics, some very funny scenes set in the real world in the new Masters of the Universe movie and of course from Best Friends, the wonderful podcast she does with friend of the show/friend IRL Nicole Byer! And on today's episode, Sasheer fills us in on the last few years: we talk moon ceremonies and how they help her orient her life, we talk about going to couples therapy with her partner and why they eventually had to fire their therapist, we talk becoming okay with confrontation, especially when confronting a home repairman who messes up your house, and of course, we talk lab grown meat nightmares, the warden in your brain and SO MUCH MORE! PLUS, obvi, we answer YOUR advice questions! If you'd like to ask your own advice questions, call 323-524-7839 and leave a VM or just DM us on IG or Twitter!BUY A SUPER CUTE "Open Your Hearts, Loosen Your Butts" mug! Also, we're in culture critic and Vulture writer Sean Malin's book The Podcast Pantheon: 101 Podcasts That Changed How We Listen! And:Support the show on Patreon (two extra exclusive episodes a month!) or gift someone a Patreon subscription! Or get yourself a t-shirt or a discounted Quarantine Crew shirt! And why not leave a 5-star review on Apple Podcasts? Or Spotify? It takes less than a minute! Follow the show on Instagram! Check out some CT clips on YouTube!Plus some other stuff! Watch Naomi's Netflix half hour or Mythic Quest! Check out Andy's old casiopop band's lost album or his other podcast Beginnings!Theme song by the great Sammus! Hosted on Acast. See acast.com/privacy for more information.