Podcasts about Dumping

Bloomberg claimed El Salvador is abandoning Bitcoin for stablecoins, and Max Keiser and Stacy Herbert showed up on Simply Bitcoin live, unannounced, to shut it down straight from the source. Their answer: the "stablecoin app" Bloomberg pointed to is an unrelated community platform, El Salvador has no plans for any crypto or stablecoin wallet, and if it ever did, it would run on Bitcoin, not Coinbase's chain. They walk through the real numbers: one Bitcoin bought every day for three years, 80,000 civil servants trained, and an economy that went from the murder capital of the world to pushing $40 billion in GDP after cutting out gang extortion. Then the show turns on the people calling Bukele a dictator while defending governments that arrest citizens over Facebook posts.SPONSORS✅ Ledn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.nmj1gs2i.com/9W598/9B9DM/?source_id=podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Simply Bitcoin clients get 0.25% off their first loanNeed liquidity without selling your Bitcoin? Ledn has been the trusted Bitcoin-backed lending platform for 6+ years. Access your BTC's value while HODLing.

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

Amy King hosts your Tuesday Wake Up Call. KFI national correspondent Rich Frankel opens the show talking about the suspects arrested at the UK air base on terror charges have been released on bail. ABC News Midterm Campaign reporter Diana Paulson speaks on why so many Midterm candidates are dumping debates. The show closes with Amy talking with Children's Hospital Association President Dr. Paul Haut about youth mental health.See omnystudio.com/listener for privacy information.

A Utah postal worker has been charged after dumping mail ballots in the trash. The AP's Marcela Sanchez has more.

See omnystudio.com/listener for privacy information.

Feld mit klarer, reiner Frequenz = Entladungsfläche für das unbewusste Chaos anderer Muss das so sein? Auf 1D-2D-3D-Ebene sind wir Starseeds oft trauma-basiert darauf programmiert, zu RETTEN, zu BEWEISEN, uns RECHTZUFERTIGEN oder uns beleidigt ZURÜCKZUZIEHEN, wenn andere Menschen uns als Entladungsfläche für ihre Trigger benutzen wollen. Und genau dadurch halten wir die schädliche Dynamik des unfreiwilligen ständigen Raumhaltens aufrecht, die unseren Körper energetisch so viel Kraft kostet. In dieser Session erkläre ich präzise, wie wir diese Täter-Opfer-Dynamik durchbrechen können und leite eine Frequenz-Session dazu an. Worte der Achtsamkeit: Ich bin kein Arzt, Therapeut oder Heilpraktiker , stelle keine Diagnosen und gebe keine Heilversprechen. Die Informationen in dieser Session werden nach bestem Wissen und Gewissen weitergegeben. Sie sind ausschließlich für Interessierte und zur Fortbildung gedacht und keinesfalls als Diagnose- oder Therapieanweisungen zu verstehen. Bei Verdacht auf Erkrankungen konsultiere bitte deinen Arzt oder Heilpraktiker. Meine Arbeit hat das Ziel, spirituelle Transformation & energetisches Wohlbefinden durch körperzentrierte Frequenzveränderung zu initiieren und kann keine konventionellen Therapiemethoden ersetzen. Sie richtet sich an spirituell Interessierte und “energiefühlige” Menschen.

The guys add a laugh track to a Portuguese dental office. Then, they call for Whopper to the floor. Plus, a follow-up from Ep 156 "50% Off When I Met Him."Want to call in? Email your question to helpfulpod@gmail.com.PATREON: https://patreon.com/heretohelppodMERCH: heretohelppod.comINSTAGRAM: @HereToHelpPodIf you're enjoying the show, make sure to rate We're Here to Help 5-Stars on Apple Podcasts.Advertise on We're Here to Help via Gumball.fmSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Illegal dumping is causing frustration in Shannon, with volunteers from Shannon Tidy Towns recently collecting 15 bags of rubbish dumped along local roads, with several more trailer loads still to be removed.   The waste included household rubbish, food waste, cans and bottles.   Alan Morrissey was joined by Derek Clune from Shannon Tidy Towns to discuss the problem and what can be done to tackle illegal dumping in the area. Photo (c) Kevin Brine from Getty Images via Canva

Illegal Dumping CCTV will be operational at two Clare locations from this week. Clare County Council has commenced a pilot programme, with cameras being installed at bring banks in Tulla and Kilrush. The system will be in place for eight weeks, after which the results will determine whether further cameras are deployed countywide. Tulla Tidy Towns Chair Tim Humphries has been telling Clare FM's Daragh Dolan he's confident it will have a big impact.

Learn more about your ad choices. Visit megaphone.fm/adchoices

Sock talk has really taken off! Or on? We also talk about illegal dumping, truck racing, and more, on the show starring YOU! Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

If you're not a fan of toilet humour, this episode might not be the one for you. Somehow, it seems to work its way into every conversation. Anyway! There's plenty of other non-toilet content to sink your teeth into - enjoy! ON TODAY'S SHOW!1. Introduction2. The Broncos Ball Debrief3. Suse is Trying to Use Her Brain More4. Where'd You Publically Embarrass Yourself?5. Pressure Cooker6. Brisbane's Best Coffee7. What's Your Dilemma?8. Someone is Dumping on Nick's Lawn9. Smarter Than Suse10. Suse is a part of the Sandwich Generation11. Producer's Press Conference "Would you let Nick pee in your mouth?” - Luttsy Love what you hear? Listen live on the Nova Player, message us anytime via our text line on +61 457 61 1069 and follow us on Facebook, Instagram & TikTok.See omnystudio.com/listener for privacy information.

See omnystudio.com/listener for privacy information.

See omnystudio.com/listener for privacy information.

Sophie Cunningham made her return to YouTube on Thursday...after taking a three-month sabbatical. Sophie Cunningham also returned with a new co-host...as West Wilson is no longer partnering with Sophie Cunningham on the show. Unfortunately...we don't know why because Sophie Cunningham failed to explain the absence of West Wilson. We discuss Sophie Cunningham return to YouTube...and the missed opportunity with explaining the departure of West Wilson. We provide possible reasons as to why West Wilson was fired...and question why Sophie Cunningham remains silent about his departure. USE PROMO CODE BTL25 TO SAVE 25% WITH PARCIL SAFETY: https://parcilsafety.com/discount/btl25

Former Conservative MP Michelle Ferreri joins Stephen LeDrew to tackle the question being asked after another difficult night of by-election results: does the Conservative Party need a new leader?Ferreri says replacing Pierre Poilievre would be an easy answer — but probably the wrong one.Her argument is that Donald Trump currently consumes so much of the Canadian political conversation that almost everything else is being pushed aside. Canadians may be unhappy with affordability, immigration, healthcare and the performance of the federal government, but Ferreri believes Carney continues to benefit from presenting himself as the leader standing between Canada and Trump.She argues that changing Conservative leaders would do little to alter that dynamic.The conversation then turns to Mark Carney's leadership, government transparency and Ferreri's contention that Canadians should pay much closer attention to Carney's internationalist political philosophy and the details of Canada's trade negotiations.Want more? Become a member to watch Stephen LeDrew's full 12-minute conversation with Michelle Ferreri.Topics CoveredWhether Poilievre should remain leaderWhat the by-election losses actually meanTrump dominating Canadian politicsWhy domestic issues struggle to break throughCarney's political advantageLeadership versus intelligenceFerreri's criticism of Carney's worldviewTransparency around trade negotiationsParliament and government accountabilityWhat happens when Trump leaves the stage Hosted on Acast. See acast.com/privacy for more information.

On the St. Louis Morning Brief, Marc Cox and Kim cover local and national headlines, starting with a South St. Louis postal worker facing federal charges for allegedly dumping over 30,000 pieces of mail into vacant lots. They discuss Straub's Markets' decision to close its Central West End store, Maplewood's review of Flock safety camera data privacy, and the US Marshals' "Operation Meridian," which successfully recovered 79 missing children across Ohio. LISTEN TO 97.1 FM TALK LIVE IN ST LOUIS OR STREAM WORLDWIDE AT 971TALK.COM #971FMTalk #StLouis #STLNews #StLouisPostalWorker #StraubsCWE #FlockCameras

Jimmy Kimmel is supposedly entering his final year with ABC...according to the New York Post. ABC will reportedly not renew Jimmy Kimmel contract...which means Jimmy Kimmel will be fired in May of 2027. We reveal and react to this report from the New York Post. We discuss our skepticism in the report...and why a decision likely hasn't been made regarding Jimmy Kimmel future. However...we also explain why Jimmy Kimmel is likely to be let go by ABC. We discuss the financials of late-night...and explain why financial losses will be the reason Jimmy Kimmel is fired. USE PROMO CODE BTL25 TO SAVE 25% WITH PARCIL SAFETY: https://parcilsafety.com/discount/btl25

South Africa has already mined a quarter of all the gold ever pulled out of the ground, and it still has 48,000 tons sitting under the Witwatersrand. So why has annual output collapsed from 1,000 tons to 88? Dr Duarte da Silva, once South Africa's go-to tech guru and now a gold analyst, tells Alec Hogg why central banks are dumping dollars for gold, why he thinks the Witwatersrand's "death" has been declared four times and been wrong every time, and why he calls the way mining majors offload worked-out shafts onto smaller players "nothing short of criminal." He also doesn't hold back on Stilfontein, on JP Morgan's call for 20% gold portfolios, and on why, despite everything, he's not touching crypto.

Daily Boost Podcast Honest With Yourself Decision Making September 8, 2026 | Episode 5537 Host: Scott Smith Episode Description Yesterday I told you about the young man at the gym who couldn't pick a career. Today I'll show you what I'd actually do with him, and with you. Being stuck isn't a one-time problem you solve and retire from. Solve one thing and something else shows up. So I dump it all on the table, look for the pattern, and get honest about the direction I'm already leaning. Most people won't admit that last part, and that's the whole holdup. Bring your mess and let's sort through it together. Featured Story When I met my wife, Joy, I never worried about whether we'd get married. That sounds cold, but it wasn't. I put my toe in the water; we had something good, and my logic was simple. If it's good, it probably gets better. If it went bad, we'd unwind it long before a wedding. So I quit auditing the ending and worked what was in front of me. Infatuation, girlfriend, fiancé, married. Every stage tested it a little harder. That's exactly how I treat a career, a business, a direction I'm curious about. Get in, feel it, and let the thing prove itself to you. Important Points * Change is coming whether you choose or not. Accepting that beats pretending you have unlimited time to decide. * You already know your answer. You were trained to hold back, and that training is exactly what has you sitting still. * Don't hand this to AI. It flatters you, it never concludes, and you'll walk away more confused than you started. Memorable Quotes * I've always believed you already know what the outcome will be. My job is to get you to accept that. * AI will tell you whatever you want to hear, and give a lot of flattery too. You're going to be so much more confused. * Practicality and optimism go together really well. Optimism without practicality is unicorn rainbows and a crappy life. Scott's Three-Step Approach * Accept that something in your life has to change, and give it a real deadline so the decision stops floating out there. * Empty every option onto the table, sort the mess into piles, and watch for the pattern you keep leaning toward. * Put your toe in the water on that pattern with zero commitment, and let the very next step reveal itself to you. Chapters 0:20 - What is really going on when you feel stuck 2:08 - Accepting that the change is coming either way 3:38 - Dumping every option onto the table like Legos 5:34 - Why AI will only make your confusion worse 6:55 - Explore it, put your toe in the water, and see 8:17 - Joy, infatuation, and how I knew it would work 11:43 - Practical optimism beats unicorn rainbow living Connect With Me Search for the Daily Boost on YouTube, Apple Podcasts, and Spotify * Email: support@motivationtomove.com * Main Website: https://motivationtomove.com * YouTube: https://youtube.com/dailyboostpodcast * Instagram: https://instagram.com/heyscottsmith * Facebook Page: https://facebook.com/motivationtomove * Facebook Group: https://dailyboostpodcast.com/facebook Learn more about your ad choices. Visit megaphone.fm/adchoices

The National Party is trying to patch things up with councils after dumping plans for a bed tax. Its alternative would give towns and cities a bigger cut of the money already collected from international tourists. But will it be enough to heal the rift? Deputy political editor Craig McCulloch reports.

U.S. bond markets are closed today for the Labor Day holiday, but we're continuing to track the global bond sell-off. However, is this a sell-off or more of a normalization? We'll set the scene for current movements in the bond market and try to paint a picture of what lies ahead. Then, as part of our “Clocked Out” series, we'll hear about one woman's transition from clinical research to med school.Every story has an economic angle. Want some in your inbox? Subscribe to our daily or weekly newsletter.Marketplace Morning Report is more than a radio show. Check out our original reporting and financial literacy content at marketplace.org — and consider making an investment in our future.Stories covered in this episode: A day in the life of a 32-year-old medical student

U.S. bond markets are closed today for the Labor Day holiday, but we're continuing to track the global bond sell-off. However, is this a sell-off or more of a normalization? We'll set the scene for current movements in the bond market and try to paint a picture of what lies ahead. Then, as part of our “Clocked Out” series, we'll hear about one woman's transition from clinical research to med school.Every story has an economic angle. Want some in your inbox? Subscribe to our daily or weekly newsletter.Marketplace Morning Report is more than a radio show. Check out our original reporting and financial literacy content at marketplace.org — and consider making an investment in our future.Stories covered in this episode: A day in the life of a 32-year-old medical student

Join us and 50+ world-class investors and entrepreneurs at Limitless Expo to learn how to protect and grow your wealth through the next economic cycle.

The caller who revealed the rumour on the 3AW Breakfast Rumour File said Clarkson looked happy to be getting rid of the attire.See omnystudio.com/listener for privacy information.

México impone medidas contra dumping de aluminio chino Consumo privado cae 0.4% en junioRescatan con vida a dos trabajadores tras nueve díasMás información en nuestro pdcast#grc

On Thursday 3rd September 2026, Carl Munson's Good Morning Portugal! news reports that sardine prices are surging after Portugal's 2026 EU quota was cut under a recovery plan, combining limited supply with booming global demand for artisanal tinned fish.Douro wine growers dumped around 300 kg of grapes in the streets of Régua as a protest over the regional crisis. Other headlines include parliamentary leaders setting a date for a no-confidence motion, the PSD criticising Chega's move, and 11 municipalities under maximum wildfire risk during an intense heatwave, with temperatures forecast up to 38°C in Lisbon and 41°C in Évora.Keep in touch 24/7 - www.portugaltalkradio.com#GoodMorningPortugal #PortugalNews #SardinePrices #DouroGrapes #Regua #Heatwave #WildfireRisk #NoConfidence #Chega #Portugal2026Become a supporter of this podcast: https://www.spreaker.com/podcast/the-good-morning-portugal-podcast-with-carl-munson--2903992/support.Get help moving to and living in Portugal

A.M. Edition for Sept. 2. Bonds are selling off again with investors left unimpressed by Treasury Secretary Scott Bessent's seeming indifference to the recent rise in yields. Economics editor Paul Hannon and WSJ reporter Chelsey Dulaney explain how the bond rout is impacting markets, consumers and businesses and what it will take to calm investors. Plus, Open AI restricts its latest AI model, rating it a 'critical' cyber risk. And Google tries to challenge the frontrunners in agentic coding. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Uno de cada cuatro empleos sin licenciatura paga más de 10 mil 500 pesos  Muere investigador de la UNAM Roberto Rodríguez Gómez Guerra  RDC reanuda clases en plena alerta por brote de ébola  Más información en nuestro podcast#grc

PJ hears about the crucial Skyclarys decision, student rental scams, calls for CCTV to protect playgrounds and tackle illegal dumping. And More... Hosted on Acast. See acast.com/privacy for more information.

PJ finds out more from Cllr Jack White. The public consultation they talk about is here https://www.garda.ie/en/about-us/organisational-structure/garda-equipment/3rd-party-cctv Hosted on Acast. See acast.com/privacy for more information.

Emisión del jueves 20 de Agosto de 2026 Estados Unidos abrió otro frente comercial con México. Esta vez son las fresas mexicanas que se venden durante el invierno, cuando compiten directamente con las producidas en Florida. El Departamento de Comercio determinó preliminarmente que algunas fresas mexicanas se venden en Estados Unidos por debajo de lo que considera su “valor justo”. "Deja que tus oídos te abran los ojos." #RuizHealyTimes #AbriendoLaConversación www.ruizhealytimes.com

Operación "Limpieza desde la Raíz" en el Estado de México, Querétaro e HidalgoNaucalpan suspendió temporalmente los parquímetros en la Zona Azul en SatéliteLas lluvias dejan 16 mil damnificados en TailandiaMás información en nuestro podcast#grc

Mujeres con Bienestar inicia depósitos en Edomex Corte Penal Internacional rechaza sanciones de EE. UU. contra sus funcionariosLa fotografía celebra casi dos siglos de historia este 19 de agostoMás información en nuestro podcast#grc

Send us Fan MailA group of Magnetic Island residents believes the annual dumping of maintenance dredge spoil by the Port of Townsville may be creating sediment plumes that smother some of the island's pristine bays, coral reefs, and marine life.And with the port now applying for a 10-year permit to continue the dumping at its current site, they're calling for community members to have their say. In this episode of Word on the Reef, we're joined by one of those residents, Gethin Morgan, president of the Magnetic Island Nature Care Association (MINCA), to understand why residents are concerned and what they believe can be done about this issue.Thumbnail: A Satellite image from 13th July 2025 which MINCA believes shows dredge spoil drifting toward Magnetic Island from the placement area (Supplied: MINCA).For more information, visit MINCA's website.Email submissions to: dredging@townsvilleport.com.au And copy to the Federal assessors of the application: seadumping@dcceew.gov.au The Port of Townsville was also approached for comment. Their written response can be viewed here. You can also find more info at the Port's website: https://www.townsville-port.com.au/environment/dredging-management/application-for-10-year-sea-dumping-permit/Support the show-------SUPPORT THE SHOW: Become a supporter to connect with Tanya and Brett, get a shout-out on the show, ask us questions and suggest episode topics! Got questions? Email info@wordonthereef.comFollow @WordOnTheReefPodcast on InstagramPROTECT THE REEF - Sign these Petitions Now!Australian Marine Conservation Society: Australia, it's time to lead on Climate Action!Divers for Climate: Sign the 'I'm a Diver for Climate' National StatementAustralian Conservation Foundation: No New Coal and Gas!Queensland Conservation Council: Take Strong Climate Action and Build a Positive Renewable Future!Our Islands Our Home: Protect the Torres Strait Islands from Climate ChangeGreenpeace: Save the Great Barrier Reef!WWF Australia: Protect NatureRising Ti...

Signage will be erected at a popular Clare walking trail in order to deter further illegal dumping. Coillte has confirmed it will install anti-dumping signs at Mooghaun Forest following a spate of incidents in recent weeks. The semi-state agency responsible for the management of 440,000 hectares of Irish forests says it's spent €2m on removing illegally dumped waste in recent years. Newmarket-On-Fergus Fianna Fáil Councillor David Griffin is hopeful the latest measures will alleviate the issue.

A meat processing plant and four of its employees could face prison time and significant penalties after prosecutors accused them of pumping wastewater containing animal flesh, blood and feces into a creek that flows to the ocean and a public beach. The newly unsealed indictment charges Ganaderos Borges Inc. (GBI) with four Clean Water Act violations and conspiracy to violate the act as part of a scheme to avoid millions of dollars in annual waste removal costs. GBI operates a slaughterhouse and meat processing facility in Naguabo, Puerto Rico. Prosecutors allege that the defendants knowingly discharged wastewater from the facility's waste retention lagoon into U.S. waters without a Clean Water Act permit. The waste reportedly included animal blood, hair, tissue and feces, as well as grease, disinfectant and other liquids used in the slaughterhouse and processing areas.The indictment states that GBI held a non-discharge wastewater treatment permit that required liquid waste to be hauled from its facility to a disposal site. Prosecutors say the discharges took place from August 2018 through at least September 2025. Court documents state that GBI President César P. Borges-Arroyo and operator Neftalí Borges-Gómez directed employees to pump liquid waste from the lagoon toward an adjacent creek using a submersible pump and hose. The creek flows approximately half a mile to the Caribbean Sea at Tropical Beach in Naguabo. The defendants also allegedly hid the pump and hose when not in use and provided false and misleading statements and documents to authorities. The defendants are scheduled to appear in the U.S. District Court for the District of Puerto Rico. If convicted, they face a maximum penalty of five years in prison and a $250,000 fine for each charge. GBI faces a penalty of up to $500,000 per charge.#Manufacturing, #FoodManufacturing, #MeatProcessing, #FoodProcessing, #EnvironmentalCompliance, #CleanWaterAct, #Wastewater, #EnvironmentalProtection, #Pollution, #Slaughterhouse, #MeatIndustry, #IndustrialWaste, #ManufacturingNews, #IndustrialNews, #PuertoRico

We're talking about the upcoming I-5 closure predicted to potentially triple your commute time and the recent raid on the infamous Red House, which was the site of large-scale protests back in 2020. We're also looking into a St. Helens treatment center that is bussing patients to our city and then abandoning them without any resources. Joining host Claudia Meza are Willamette Week reporter and author Brianna Wheeler and our very own senior producer Giulia Fiaoni.    Become a member of City Cast Portland! ⁠Join today⁠, and we'll send you some exclusive City Cast Portland swag, while supplies last. Get all the details and sign up ⁠here⁠.⁠ ⁠ Discussed in today's episode: ⁠Major I-5 closure in Portland just a few weeks away⁠ [KGW8] ⁠Police raid North Portland's ‘Red House' on Mississippi, scene of large-scale 2020 protests⁠ [Oregonian] ⁠Understanding the ongoing ‘eviction blockade' in Portland⁠ [OPB] ⁠Family at center of ‘Red House' protests owns second Portland home⁠ [OPB] ⁠On the Red House, we got one wrong⁠ [OPB] Who would you like to hear on City Cast Portland? Shoot us an email at ⁠portland@citycast.fm⁠, or leave us a voicemail at ⁠503-208-5448⁠. Want more Portland news? Then make sure to sign up for our ⁠morning newsletter⁠ and be sure to follow us on ⁠Instagram⁠. Looking to advertise on City Cast Portland? Check out our options for podcast and newsletter ads at ⁠citycast.fm/advertise⁠. Learn more about the sponsors of this August 13th episode: ⁠Portland Spirit⁠ ⁠Rose City Comic Con⁠ ⁠Burger Week⁠ ⁠Stacked Piercing⁠ - take 20% off your first booking with code CITYCAST20

Outrage has been expressed over an increased spate of illegal dumping at a popular Clare nature trail. It's after a large volume of discarded household and electrical waste was found at Mooghaun Woods in Newmarket-On-Fergus this week. The rubbish was found on a popular walking route, known locally as the Long Sweep. Newmarket-On-Fergus Fianna Fáil Councillor David Griffin says it's completely inexcusable.

HOUR 1: The irony that the younger generations are leading the charge in dumping technology. full 2442 Thu, 06 Aug 2026 19:00:00 +0000 La5DNhO1qtPfXHbLM17ZQqIhRlQnEdgo news The Dana & Parks Podcast news HOUR 1: The irony that the younger generations are leading the charge in dumping technology. You wanted it... Now here it is! Listen to each hour of the Dana & Parks Show whenever and wherever you want! © 2025 Audacy, Inc. News ht

In this episode of the Lead Ministry Podcast, Josh Denhart and Bill Van Kirk unpack the difference between dumping, delegating, and discipling volunteers. They explore why rushed handoffs create confusion and turnover, how clear systems protect both quality and people, and why the highest form of ministry multiplication requires passing on more than a task — it requires passing on the heart behind the work.If you've ever returned from vacation to discover that a volunteer misunderstood an assignment, or wondered why capable people keep burning out around you, this episode will help you build a better handoff and a healthier team.KEY TOPICS COVEREDDumping vs. Delegating vs. Discipling – Recognizing three very different kinds of ministry handoffClarity Before Handoff – Why details, examples, and a dry run prevent avoidable failureBuild Once, Reap Repeatedly – Creating systems that serve volunteers for yearsThe Be-With Factor – Passing on your heart through time, questions, and shared ministryKEY QUOTE“The cost that you pay to delegate properly and disciple thoroughly is worth it.”SCRIPTURE REFERENCESMark 3:14 – Jesus appointed the twelve so they might be with Him and be sent outEphesians 4:11-12 – Ministry leaders equip God's people for the work of ministryTAKEAWAYDelegation may complete a task, but discipleship builds a person. Slow down before the handoff, provide the clarity a volunteer needs, and invest enough time for them to understand both what to do and why it matters.CALL TO ACTIONWe hope this episode encourages and equips you. Share it with a friend and stay tuned for more resources each week.STAY CONNECTED FOR MORE RESOURCESVisit our website: http://leadministry.comFollow us on Facebook: https://www.facebook.com/LeadVolunteersFind us on Instagram: https://www.instagram.com/leadvolunteers

Hollywood's Headlines includes stories from across the sports world and beyond, starting with Hollywood sharing a story about coaching his 9-year-old basketball team and an opposing coach taking things too far by repeatedly berating the referees. The guys also react to Conor McGregor officially returning to the UFC at 37 years old to face Max Holloway at UFC 329, discussing whether the former champion can pull off the upset as an underdog. The segment wraps up with local officials urging residents to report illegal dumping as it becomes a growing problem, with discarded tires emerging as one of the biggest concerns.

Brand-new RVs are being liquidated in the middle of peak camping season, and that's just the beginning.In this week's RV Lifestyle Podcast News Edition, Mike Wendland examines why the RV industry is facing growing challenges, what the newly announced Patrick-Lippert merger could mean for RV owners, and why record Fourth of July crowds created chaos in many National Parks.Also this week:• A look at the latest RV safety recalls • Expanding public campgrounds that could make reservations easier • An inspiring story about one RVer who accomplished an incredible National Park milestoneEvery story featured in this episode is fully sourced. Click the transcript tab for complete show notes and links to every article referenced.Be sure to subscribe to the RV Lifestyle Newsletter at RVLifestyle.com for daily RV news, travel inspiration, and practical advice delivered free to your inbox.

We kick things off with the disturbing case of two Texas sisters, Cookie and Kitty, accused of murdering a mother of five — and laughing about it afterward. Then, a heartbreaking update on Louisiana teen Ja'Derrius Minnieweather as authorities may have located his body. In Georgia, a killer suffers a heart attack while trying to dispose of a victim's body — talk about instant karma.You'll also hear about a woman who slashed a homeowner with a bottle during an argument over a “dirty house,” a Louisiana man sentenced for the brutal killings of two Baton Rouge women, and the tragic murder of a North Carolina postal worker delivering the mail. Plus, a Florida UPS driver makes off with a $55,000 Rolex, and an international story of a man who kills his girlfriend… then visits sex workers the same day. We lighten it up with some wild 4th of July Fun Facts you definitely didn't know, followed by our fan-favorite Foolish Felons segment featuring a Florida man impersonating a police officer… who ends up pulling over the real police!In Overtime, we cover a polygamous sect leader convicted of child sexual assault, a Louisiana police officer accused of groping who skips court, a “Love Island” fan whose lead foot lands her behind bars, and a wedding guest who uses bear spray to fight off an assailant.Timestamps04:00 Texas Sisters Cookie and Kitty Murder Mom of (5) and Laugh About it.10:00  Louisiana Teen Ja'Derrius Minnieweather's Body Possibly Located *UPDATE*16:00 Georgia Killer Dies of Heart Attack While Disposing of Body.19:00 Woman Slashes Homeowner With Bottle Over Dirty House.23:00 Louisiana Man Sentenced for Killing Two Baton Rouge Women.27:00 North Carolina Postal Worker Killed While Delivering the Mail.31:00 Florida UPS Driver Steals 55k Rolex.36:00  International Indiscretions: Man Kills Girlfriend Then Visits Sex Workers.39:00 4th of July FUN FACTS You didn't Know!51:00 Foolish Felons: Florida Man Impersonating The Police..Pulls Over The Police.Overtime56:00 Polygamous Sect Leader Convicted of Child SA.1:03:00 Louisiana Police Officer Accused of Groping Skips Court.1:06:00 Lead Foot Lands “Love Island” Fan Behind Bars.1:10:00 Wedding Guests Uses Bear Spray to Ward Off Assailant During Attack.VIDEO VERSION OF CRIME WIRE WEEKLY ON PATREON can be found via either link below: Exposed PatreonUnspeakable Patreon

Join this channel to get access to exclusive members only videos:https://www.youtube.com/channel/UCQTAVxA4dNBCoPdHhX9nnoQ/joinJoin Members Only On My Website. 7 day free trial. Save 25% when you choose an annual Membership plan. Cancel anytime:https://understandingrelationships.com/plansJoin Members Only on Spotify:https://podcasters.spotify.com/pod/show/coachcoreywayne/subscribeWhy a woman will continue contacting you but doesn't ask to see you.In this video coaching newsletter I discuss an email from a viewer who was dating a coworker. They had a trip planned together which she canceled. He stopped moving forward and withdrew his attention. However, she's continued texting and initiating conversations at work, but never brings up getting together or seeing him. He wonders what it means and why she keeps doing this.If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B01EIA86VC/?source_code=AUDFPWS0223189MWT-BK-ACX0-057626&ref=acx_bty_BK_ACX0_057626_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B07B3LCDKK/?source_code=AUDFPWS0223189MWT-BK-ACX0-109399&ref=acx_bty_BK_ACX0_109399_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1

Listen to all my reddit storytime episodes in the background in this easy playlist: https://www.youtube.com/playlist?list=PL_wX8l9EBnOM303JyilY8TTSrLz2e2kRGThis is the Redditor podcast! Here you will find all of Redditor's best Reddit stories from his YouTube channel. Hosted on Acast. See acast.com/privacy for more information.

A viral video of a woman dumping trash on a NYC sidewalk to steal a Knicks themed trash can, is no longer employed with JP Morgan Chase. 40-year-old Angie Baez has been identified and is now being viciously mocked online after the video went viral on TikTok following the Knicks victory parade. Baez has since returned the trash can to the city, but should she have lost her job and her reputation over this incredibly poor and stupid decision to take home a souvenir? See omnystudio.com/listener for privacy information.

Czabe unlocks SCOTT LINN and STEVE SOLOMON from behind the paywall this week for a brisk Thursday jaunt through the pod. The lads talk about Solly's failed political campaign, the astonishing details about the woman who stole the stupid Knicks trash can, and why the WNBA remains the most un-serious of leagues. Also, Becky Hammon isn't wrong, she's just going to pretend that she isn't. MORE.....Our Sponsors:* Check out Troll Co Clothing and use my code CZABE25 for a great deal: https://www.trollcoclothing.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

A viral video of a woman dumping trash on a NYC sidewalk to steal a Knicks themed trash can, is no longer employed with JP Morgan Chase. 40-year-old Angie Baez has been identified and is now being viciously mocked online after the video went viral on TikTok following the Knicks victory parade. Baez has since returned the trash can to the city, but should she have lost her job and her reputation over this incredibly poor and stupid decision to take home a souvenir? See omnystudio.com/listener for privacy information.

A viral video of a woman dumping trash on a NYC sidewalk to steal a Knicks themed trash can, is no longer employed with JP Morgan Chase. 40-year-old Angie Baez has been identified and is now being viciously mocked online after the video went viral on TikTok following the Knicks victory parade. Baez has since returned the trash can to the city, but should she have lost her job and her reputation over this incredibly poor and stupid decision to take home a souvenir? See omnystudio.com/listener for privacy information.