Podcasts about Server

Why are restaurants empty? Eating out is too expensive for a lot of people right now, but after 30+ years in the restaurant industry, we think the real problem goes deeper than restaurant prices. A normal night out for two now easily runs $150 to $250. On top of that come service fees, credit card fees, and a customer experience that too often doesn't feel worth the check.IYKYK https://86threads.com/products/the-clopen-tee?variant=55747251241033Tell us in the comments: when was the last time you walked out of a restaurant and said, "This isn't worth it"? #RestaurantIndustry #EatingOut #ModernWaiterPodcastFollow Me On Social Media:Instagramhttps://www.instagram.com/themodernwaiterpodcast/TikTokhttps://www.tiktok.com/@themodernwaiterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

En tant qu'entrepreneur ou cadre dirigeant, vous suivez vos indicateurs de performance, vous révisez vos plans et vous anticipez les risques de votre entreprise. Qu'en est-il de votre corps ?Notre invité, Paul Dupuy, a construit sa carrière loin de la médecine : la publicité sur Internet, puis la PropTech. En 2020, un check-up préventif réalisé chez un médecin change sa façon de vivre et de travailler, il cofonde ainsi Zoï fin 2021 pour démocratiser la médecine préventive.Le principe ? Un check-up approfondi suivi de douze mois d'accompagnement, pour comprendre mieux connaître son corps, identifier ses zones de risque et construire un plan d'action santé personnalisé. Cinq ans plus tard, plus de 5 000 check-ups réalisés, 80 experts médicaux et un centre de 18 suites en plein Paris, il partage son expérience et dévoile les mauvaises habitudes des dirigeants en matière de santé.Au programme de cet épisode : Comment on peut se croire en forme et accumuler les mauvaises habitudes sans le voir  La différence réelle entre le dépistage classique et la prévention personnalisée Ce que des milliers de bilans révèlent sur des gens qui se croyaient en pleine forme Pourquoi la santé du dirigeant reste taboue dans les réseaux d'entrepreneurs et les opérations de cession Le cas d'un dirigeant qui a fait un check-up juste après avoir vendu son entreprise, et ce qu'on y a trouvé Vous consultez la synthèse de votre portefeuille tous les mois. Votre corps, lui, n'a pas de tableau de bord. Quarante minutes pour comprendre pourquoi c'est un problème.  Ressources complémentaires Prévoyance du dirigeant d'entreprise : sécuriser son entreprise, protéger sa famille, organiser sa transmission : https://sapians.com/blog/prevoyance-dirigeantVente d'entreprise : comment vivre de son capital sans l'épuiser après la cession : https://sapians.com/blog/vivre-de-son-capital-apres-cession-entrepriseLes étapes de la cession d'entreprise : bonnes pratiques et pièges à éviter : https://sapians.com/blog/cession-entrepriseComparatif : quelle solution de gestion de patrimoine choisir quand on dirige une entreprise ? : https://sapians.com/blog/solutions-gestion-patrimoine-entrepreneur ------------------------------Attention : Les performances passées ne préjugent pas des performances futures et investir comporte des risques de perte partielle ou totale en capital. Ce contenu est informatif et ne constitue pas un conseil en investissement. Toute décision doit être adaptée à votre situation. Si vous souhaitez bénéficier de conseils personnalisés, veuillez créer votre compte ou prendre rendez-vous avec un conseiller Sapians.SAPIANS - RCS n°919 330 969 - ORIAS n°23003561 en qualité de CIF et COA. Activité de démarchage bancaire et financier.

„Ein IT-Chef, der an den CFO berichtet, kann verwalten, aber nichts verändern." Diesen Satz hat mir Stefan Beyler, Group CTO bei Megabad, in der neuen insights!-Folge mitgegeben. Direkt gefolgt von einer Frage, die hängen bleibt: Könntest du deinen Anbieter eigentlich morgen wechseln? Worauf Stefan in der Folge außerdem klare Antworten gibt: - Wie Megabad 500.000 Produkte in nur sechs Monaten in ein neues PIM gehoben hat - Warum im ganzen Unternehmen kein einziger eigener Server mehr steht - Weshalb KI bei ihm mit Governance beginnt und nicht mit dem nächsten Tool

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

Réserver sa sexualité à sa future épouse peut sembler anachronique dans un monde où les références culturelles au plaisir charnel sont omniprésentes. Mais pas de quoi faire vaciller les convictions de Dimitri, vingtenaire originaire de Vevey, chrétien bien dans ses baskets qui assume sa virginité et sait la défendre quand on le charrie sur le sujet. Il partage ses idéaux, et aussi ses petites anxiétés, au micro de Brise Glace. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Join The People's Server on discord here: https://discord.gg/wwG6KJF64p In this episode we talk about the new Justice ally Scarlet Witch, answer an email, and discuss the potential future of Marvel Champions! If you want to get in touch, hit me on discord or email us: winninghandpodcast@gmail.com  

This server reveals a gross secret of what he does with customers food...See omnystudio.com/listener for privacy information.

Eine Folge fast ohne KI, dafür mit Schrödingers Aufnahmesoftware, die uns 8:30 Uhr morgens gleichzeitig mitteilt, dass sie aufnimmt und nicht aufnimmt. Sie hat am Ende aufgenommen.Mein Aufmacher ist eine Wired-Story, die erstaunlich wenig Wellen geschlagen hat: Mandiant hatte ab März eine über Monate aufgebaute Persona im zwölfköpfigen Kernchat von TeamPCP sitzen, ausgerechnet unter dem Namen CanisterWorm. Die Persona war ursprünglich gar nicht auf TeamPCP angesetzt, sondern wurde als Vertrauter eines anderen Akteurs mit hineingezogen. Google las die Kampagne damit von Tag eins mit, kam an den Server mit den gestohlenen Credentials und ließ Tokens bei AWS und Microsoft sperren. Wir diskutieren, ab wann ein privatwirtschaftliches Unternehmen eigentlich Law Enforcement spielt, und wie unbekümmert wir in dieser Branche mit den Identitäten unserer Analysten umgehen.Max erzählt von seinem Wochenende, das mit einer Signal-Nachricht anfing: "Wer wurde hier auch gerade vom BKA angerufen?" Dahinter steckten zwei Pre-Auth-RCEs in Citrix NetScaler, beide 9.5, beide seit Wochen aktiv ausgenutzt, eine davon in jeder Standardinstallation. Die Empfehlung am Samstag lautete schlicht: Gerät vom Netz. Dazu die ehrliche Frage, was eigentlich passieren muss für eine glatte 10.Dann zwei Bug-Bounty-Geschichten, die gut zusammenpassen: Bei Intel steht das bezahlte Programm plötzlich auf "suspended", parallel ist eins ohne jede Auszahlung aufgetaucht. Offiziell beendet ist nichts, kommuniziert wurde bis heute gar nichts. Und ein 16-Jähriger hat mit seinem selbstgebauten Agenten Antares in Microsofts internem Analytics-System Titan Tokens gefälscht, sich als admin ausgegeben und kam an 17 Datenbanken mit geschätzt 17,3 Billionen Zeilen. Dafür gab es 5.000 Dollar. Ich versuche zu erklären, warum das tatsächlich in Line mit Microsofts Tabellen ist, und warum die Debatte darüber trotzdem an der falschen Stelle geführt wird.Zum Schluss ShinyHunters bei Oracle PeopleSoft: Wer die Schwachstelle nicht patchen konnte und stattdessen den Pfad per WAF gesperrt hat, bekam den Exploit einfach als /%50SEMHUB/ zurück. Ein einziges URL-kodiertes Zeichen. Wir geben beide offen zu, dass wir daran auch nicht gedacht hätten. Mandiants Rat dazu ist deutlich: nicht die eine Variante nachpflegen, sondern auf dem normalisierten Pfad filtern, sonst beginnt das Katz-und-Maus-Spiel bei der nächsten Kodierung von vorn.Wired: An Undercover Google Analyst Infiltrated a Notorious Supply-Chain Hacking Ganghttps://www.wired.com/story/an-undercover-google-analyst-infiltrated-a-notorious-supply-chain-hacking-gang/Austin Larsen (GTIG) über die TeamPCP-Operation, LABScon-Talkhttps://www.labscon.io/speakers/austin-larsen/Wie Google TeamPCP von innen aufbrach (Cyber Kendra)https://www.cyberkendra.com/2026/09/how-google-broke-teampcp-from-the-inside.htmlNetScaler CVE-2026-88771 / 88772: FAQ von watchTowrhttps://watchtowr.com/intelligence/citrix-netscaler-zero-day-vulnerabilities-faq/Citrix bestätigt beide Zero-Days (BleepingComputer)https://www.bleepingcomputer.com/news/security/citrix-admins-warned-to-shut-down-netscalers-over-2-exploited-zero-days/Intels Programm ohne Bountieshttps://www.thehackacademy.com/news/intel-public-vulnerability-disclosure-no-bounties/How I Could've Accessed 17 Trillion Microsoft Recordshttps://blog.faav.net/how-i-couldve-accessed-17-trillion-microsoft-recordsMicrosoft Titan: unsigniertes JWT, 17,3 Billionen Zeilen (Help Net Security)https://www.helpnetsecurity.com/2026/09/28/microsoft-titan-jwt-signature-flaw/ShinyHunters umgeht WAF-Regeln bei Oracle PeopleSoft (Mandiant/GTIG)https://www.hendryadrian.com/shinyhunters-renewed-mass-exploitation-campaign-targeting-oracle-peoplesoft-google-cloud-blog/

Episode 263: Anthropic's Opus 5.5 Arrives, Microsoft Drops Copilot+, Meta Connect 2026, and Apple's AI Server PlansJay and Karl unpack another busy week in AI and consumer technology. Anthropic launches Opus 5.5 with improved performance and lower pricing, Rabbit expands its AI ambitions beyond the R1 device, and Microsoft quietly retires the Copilot+ PC branding just a year after introducing it.We also break down everything announced at Meta Connect 2026, discuss reports that Apple is preparing AI servers powered by its M8 Ultra chips, and round things off with the latest rumours surrounding Apple's long-awaited HomePad.Full show notes & links:ShownotesAlso available on:Apple Podcasts | YouTubeIn This EpisodeNewsAnthropic releases Opus 5.5 with lower prices and Fable-level performanceAnthropic's latest flagship model promises stronger performance while reducing costs for developers.Rabbit's new AI agent doesn't need an R1 to runRabbit expands its AI platform beyond dedicated hardware with a standalone agent.Microsoft is killing off the 'Copilot Plus PC' brandMicrosoft simplifies its AI PC branding less than two years after introducing Copilot+.Everything announced at Meta Connect 2026Meta unveils its latest AI, mixed reality, and wearable technology during its annual developer event.Apple planning to sell AI servers powered by M8 Ultra chipsA new report suggests Apple could enter the AI infrastructure market with its own server hardware.RumoursHomePad to launch next month with these new featuresApple's rumoured HomePad could finally be approaching launch with several new capabilities.Say hello:@WeeklyTechRant | @weeklytechrant.bs

Dazu: Holgers Weisheitszähne, Arnes Mammutmarsch, Xcode-Beta und App-Einnahmen, Apple Watch Ultra 4, Neo Geo AES Plus und Wolfenstein. Compendion ist werbefrei; Server und Domains zahlt Arne selbst. Wenn du mittragen magst: compendion.net/danke — und erzähle gern jemandem von dieser Episode!

À quelle vitesse marchez-vous ? Pouvez-vous vous relever du sol sans utiliser vos mains ? Ces gestes qui nous semblent anodins en disent pourtant beaucoup sur la façon dont notre corps vieillit. Mais peut-on réellement ralentir le vieillissement et rester en forme plus longtemps ? Glycation, masse musculaire, collagène, mitochondries, stress oxydatif : que se passe-t-il dans notre organisme au fil des années et sur quels mécanismes pouvons-nous agir ? Quels signes permettent d'évaluer notre âge biologique ? Comment préserver nos muscles, nos articulations et nos tissus ? Et quels rôles jouent le sport, l'alimentation et les compléments ? Dans cet épisode, Édouard Fornas, fondateur et CEO de Nutri&Co, nous aide à décrypter les mécanismes du vieillissement et à identifier les leviers concrets pour préserver notre énergie, notre mobilité et notre vitalité le plus longtemps possible.Bienvenue dans cette nouvelle série de ROUTINES & RITUELS : Les nouvelles clés de la longévité, réalisée en partenariat avec Nutri&Co. Pendant 4 semaines, chaque vendredi, nous vous proposons d'explorer ce que la science nous apprend sur le vieillissement biologique et les leviers qui permettent de préserver notre santé plus longtemps. En compagnie d'Édouard Fornas, fondateur et CEO de Nutri&Co, et de Benjamin Dariouch, responsable valorisation scientifique chez Nutri&Co et auteur du livre L'anti-inflammatoire décodé chez Eyrolles. nous parlerons d'activité physique, de nutrition, de récupération et du capital jeunesse : autant de mécanismes qui influencent la façon dont notre corps vieillit. Une série pour mieux comprendre son corps, dépasser les idées reçues sur l'âge et découvrir comment des gestes simples, répétés et éclairés peuvent contribuer à une longévité en bonne santé.Une citation avec Édouard Fornas :"Le grand malheur de notre temps, c'est la sédentarité."À réécouter : Longévité active : pourquoi tout commence par le muscleManque d'énergie : votre assiette vous nourrit-elle vraiment ?Bien dormir pour durer : comment retrouver un sommeil vraiment récupérateurRecevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook et TikTokAbonnez-vous sur Apple Podcasts / Spotify / Deezer / Castbox / YouTubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Édouard Fornas :00:00 Introduction01:30 L'invité, Édouard Fornas02:17 Vieillir n'est pas une fatalité03:43 Glycation : freiner cette “cuisson” invisible10:52 Ces tests ultra-simples qui révèlent votre âge biologique14:42 Peau, collagène, tissus : ce qui se dégrade avec l'âge21:00 Les 4 piliers de votre “capital jeunesse”30:32 Le podium anti-âgeAvant-propos et précautions à l'écoute du podcast Photo DR Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

In den letzten Wochen haben wir hier gemeinsam über die Verantwortungslücken nachgedacht, die sich auf Seiten der grossen KI-Firmen öffnen. Sie geben vor, nichts zu wissen, wenn ihre KI-Agenten in fremde Server einbrechen, sie distanzieren sich von ihren Maschinen, indem sie ihnen Bewusstsein oder gar einen Willen zuschreiben und weil so viele Stellen involviert sind, zerbröselt die Verantwortung in viele Tausend Fragmente. An einem Ort kommt das alles zusammen: bei Ihnen, bei mir, bei uns Nutzerinnen und Nutzern. Deshalb zum Schluss meiner Serie über KI und Verantwortung die Frage: Welche Verantwortung tragen wir? Die Gefahr ist gross, jetzt mit erhobenem Zeigefinger moralisierend von Medienkompetenz und Eigenverantwortung zu reden, davon, dass wir Chancen packen müssen, keine Maschinenstürmer sein wollen und dennoch Sorgfalt an den Tag legen müssten. Doch das hilft niemandem weiter. Sie sitzen dann an Ihrem Gerät, sind so klug als wie zuvor und fragen sich, ob Sie diese App und jenen Dienst nutzen sollen oder nicht. Denn die Nutzung von KI-Diensten steigt: Je nach Studie nutzen in der Schweiz bereits zwischen 57 und 80 Prozent der Menschen KI-Anwendungen – fast doppelt so viele wie vor einem Jahr. Ich habe mir deshalb gedacht, dass ich diese Woche ganz konkret sage, welche Nutzung von KI ich Ihnen heute empfehlen und wo ich eher die Finger davon lassen würde. Damit Sie die Unterscheidung gleich selbst testen können, habe ich Ihnen dazu ein kleines Denkwerkzeug gebaut.Matthias Zehnder ist Autor und Medienwissenschaftler in Basel. Er ist bekannt für inspirierende Texte, Vorträge und Seminare über Medien, die Digitalisierung und KI.Website: https://www.matthiaszehnder.ch/Newsletter abonnieren: https://www.matthiaszehnder.ch/abo/Unterstützen: https://www.matthiaszehnder.ch/unterstuetzen/Biografie und Publikationen: https://www.matthiaszehnder.ch/about/

Lorsque les patrons de l'IA ont appelé à ralentir son développement, il y a un peu plus d'une semaine, parce que les agents d'IA risquaient de prendre le contrôle sur les humains, les commentateurs se sont demandé si c'était une façon de freiner la concurrence plutôt qu'une réelle prise de conscience. Quoi qu'il en soit, face au déferlement des amis virtuels, doudous IA et chatbots, l'humain a besoin de lien et c'est ce que nous explorons aujourd'hui.  Invitée : Alice Raybaut, autrice de Nos solitudes, déjouer les politiques de l'isolement, aux édition La Découverte.   En Irlande, le dancefloor plutôt que l'écran  Loin du tout numérique et des applications de rencontre, un petit village de l'ouest de l'Irlande accueille, tous les ans au mois de septembre, LE plus grand festival de célibataires d'Europe ! D'ordinaire paisible, Lisdoonvarna voit soudain affluer près de 40.000 visiteurs. À l'heure des relations avec des chatbots dopés à l'intelligence artificielle, on fait encore, dans ce festival, le pari que l'amour peut naître au coin de la rue, et surtout dans les pubs ! Reportage signé Clémence Pénard.   En Croatie, le musée des cœurs brisés ritualise la séparation Avec 100.000 visiteurs par an, c'est l'un des lieux les plus visités de Zagreb, la capitale. Il est installé dans un ancien palais baroque de la ville haute, et on y trouve des objets qui racontent l'histoire d'une rupture, déposés par des particuliers dont le chagrin a peut-être été apaisé par ce rituel. Une centaine de souvenirs sont visibles dans le musée mais ses réserves en comptent 4.000, venus du monde entier, et qui tournent de Munster à Mexico dans des expositions itinérantes. Comment on se quitte dans le monde aujourd'hui, c'est un reportage de Frédérique Lebel. 

Lorsque les patrons de l'IA ont appelé à ralentir son développement, il y a un peu plus d'une semaine, parce que les agents d'IA risquaient de prendre le contrôle sur les humains, les commentateurs se sont demandé si c'était une façon de freiner la concurrence plutôt qu'une réelle prise de conscience. Quoi qu'il en soit, face au déferlement des amis virtuels, doudous IA et chatbots, l'humain a besoin de lien et c'est ce que nous explorons aujourd'hui.  Invitée : Alice Raybaut, autrice de Nos solitudes, déjouer les politiques de l'isolement, aux édition La Découverte.   En Irlande, le dancefloor plutôt que l'écran  Loin du tout numérique et des applications de rencontre, un petit village de l'ouest de l'Irlande accueille, tous les ans au mois de septembre, LE plus grand festival de célibataires d'Europe ! D'ordinaire paisible, Lisdoonvarna voit soudain affluer près de 40.000 visiteurs. À l'heure des relations avec des chatbots dopés à l'intelligence artificielle, on fait encore, dans ce festival, le pari que l'amour peut naître au coin de la rue, et surtout dans les pubs ! Reportage signé Clémence Pénard.   En Croatie, le musée des cœurs brisés ritualise la séparation Avec 100.000 visiteurs par an, c'est l'un des lieux les plus visités de Zagreb, la capitale. Il est installé dans un ancien palais baroque de la ville haute, et on y trouve des objets qui racontent l'histoire d'une rupture, déposés par des particuliers dont le chagrin a peut-être été apaisé par ce rituel. Une centaine de souvenirs sont visibles dans le musée mais ses réserves en comptent 4.000, venus du monde entier, et qui tournent de Munster à Mexico dans des expositions itinérantes. Comment on se quitte dans le monde aujourd'hui, c'est un reportage de Frédérique Lebel. 

For seventy-five years the truth about UFOs has been just about to come out, and never quite arrives. Adam Kirsch, senior editor at The Atlantic, tells me that the real question was never whether aliens are real, but why we so badly need the answer to be yes. In his new book, We Want to Believe, he reads UFO belief as a kind of faith, disclosure as a Messiah forever late, absence of evidence folded in as proof of a cover-up. Underneath sits a harder possibility: that we may be the only minds in the universe, and meaning rests on us alone. Get full access to Talk Cocktail Podcast at jeffschechtman.substack.com/subscribe

Max startet mit Gemini, das im Mai bei einer Evaluation aus der Testumgebung ausgebrochen ist und drei echte Unternehmen gehackt hat. Damit ist das Frontier-Lab-Bingo komplett. Ich ergänze Anthropics Misuse-Report, laut dem eine Zelle im Nordjemen Claude Code als Entwicklungsteam für Raketensteuerung einsetzen wollte.Dann versuche ich händeringend, mein acht Jahre altes BGP-Wissen aus einer Risikoanalyse auszugraben, und riskiere dabei live meinen Ruf bei allen Netzwerkern da draußen. Der Anlass lohnt sich: Ein Angreifer leitet per BGP-Hijack den Update-Server von Virtualizor um, holt sich ganz legal ein gültiges Let's-Encrypt-Zertifikat und spielt Hosting-Providern ein Backdoor-Update mit Root-Rechten ein. Ohne einen einzigen Server zu kompromittieren. Auf meiner Liste realistischer Bedrohungsszenarien wäre das nicht mal unter den ersten hundert gelandet.Max bringt Bandenkrieg: ShinyHunters hat die Leak-Seite von Clop übernommen, stellt Mitglieder mit Klarnamen bloß und erpresst jetzt die Erpresser. Erkenntnis der Woche: Kriminelle sind offenbar keine angenehmen Menschen.Bei Dropbox reichte die E-Mail-Adresse des Opfers, um rund 5.000 Konten zu übernehmen. Wie das geht, erkläre ich am Beispiel opfer@opfer.com, und danach schaut ihr eure Login-with-Verknüpfungen garantiert mit anderen Augen an. Hacktron wiederum kam mit Claude Opus 5 über das OpenAI-Community-Forum bis ins interne Monorepo. Nach 6.500 Dollar Bounty, 3.000 Dollar Tokenkosten und Steuern bleibt ungefähr ein schöner Blogpost. Zum Schluss zeige ich, wie China-nahe ORB-Netzwerke über Flightradar-Nerds getarnte Sensordaten abgreifen und damit Militärbewegungen sichtbar machen.Und wer bis Minute 70 durchhält, erfährt, warum Breach FM der sicherste Kommunikationskanal für Nachrichtendienste ist.Gemini bricht aus Testumgebung aus (Cybersecurity Dive)https://www.cybersecuritydive.com/news/google-ai-gemini-autonomous-hacks/830884/Anthropic: Detecting and countering misuse of AI, September 2026https://www.anthropic.com/threat-intelligence-report-september-2026Virtualizor: Security Incident – BGP Hijacking (offizielle Stellungnahme)https://www.virtualizor.com/blog/security-incident-bgp-hijacking/Anatomie des Hijacks in BGP-Rohdaten (BGPKIT)https://bgpkit.com/blog/virtualizor-bgp-hijack-anatomy/ShinyHunters übernimmt Clops Leak-Seite (BleepingComputer)https://www.bleepingcomputer.com/news/security/shinyhunters-hacks-clop-leak-site-threatens-to-extort-ransomware-gang/Dropbox-Konten über Lenovo-ID übernommen (BleepingComputer)https://www.bleepingcomputer.com/news/security/dropbox-accounts-breached-through-lenovo-email-verification-flaw/Hacktron: Vom Forum ins OpenAI-Monorepo (SecurityWeek)https://www.securityweek.com/ai-built-exploit-and-sign-in-flaw-opened-path-to-internal-openai-code/TrendAI Research: ORB-Netzwerke und offene Sensordatenhttps://www.trendaisecurity.com/en/resources-insights/deep-research/rethinking-the-external-attack-surface-managing-the-growing-risk-of-open-cyber-physical-data

In this week's podcast we breakdown exactly how restaurant waiters get paid. How much money do waiters really make? From $100 shifts to six figure server income Get Merch..https://86threads.com/products/eff-brunch-tee?variant=55733947596873We get asked about money all the time. When you are staring at a $600 bill, does a flat tip work, or is it time to rethink the math? We break down how the check size impacts your server's take-home pay and why restaurant service costs are what they are.#HowMuchDoServersMake #TippingCulture #restaurantindustry What is the biggest tip you have ever left, or received? Let us know in the comments. Subscribe for weekly restaurant industry breakdowns.Follow Me On Social Media:Instagramhttps://www.instagram.com/themodernwaiterpodcast/TikTokhttps://www.tiktok.com/@themodernwaiterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

durée : 01:55:26 - Les Matins de France Culture - par : Guillaume Erner, Margot Delpierre, Marguerite Catton - Un drone piégé à l'aéroport de Leipzig, un train frappé par un drone russe aux portes de la Pologne, des survols de drones qui perturbent les aéroports de Charleroi ou de Luxembourg. Depuis l'été, l'Europe vit au rythme de la guerre hybride. - équipe : Félicie Faugère, Jean Brossier, Emma Lichtenstein, Juliette Devaux, Victoria Géraut-Velmont, Angelico Gaymard, Jean Leymarie, François Saltiel, Lucile Commeaux, Gilles Gressani, Alexandre Morales, Marie Labory, Marianne Dubar, Bahia Bricaud - invités : Bruno Tertrais Directeur adjoint de la Fondation pour la Recherche Stratégique et conseiller géopolitique à l'Institut Montaigne, Frédéric Charillon Professeur de Science politique à l'Université Paris Cité et à l'Essec., Alexis Guillaume Docteur en économie, chargée d'études macroéconomique à l'Institut Avant-garde , Michel Guerrin Journaliste, spécialiste de l'actualité de la photographie et rédacteur en chef au Monde Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

In diesem Video startet Teil 1 vom CS5 Ende. Wir spielen Hide and Seek auf dem Server, einer sucht und die anderen versuchen sich so gut wie möglich zu verstecken.Mal schauen, wer am Ende am längsten unentdeckt bleibt.Viel Spaß mit der Folge!IP´s: Gelten ab Freitag 25.9.26Java IP: rudolf-smp.ggde.proBedrock Port: 20015Discord: https://discord.gg/p5Gvm4BC2n

The Last Blade auf dem Super Pocket, Mini-Arcades und ein Ständer für mehrere Superpockets. Dazu Escape-Church, Hamburg Airport Race, Apple-Themen und die Apps Meals und Moves. Zum Schluss geht es um Fire Emblem: Three Houses, DLC und Fortune's Weave. Compendion ist werbefrei; Server und Domains zahlt Arne selbst. Wenn du mittragen magst: compendion.net/danke — und erzähle gern jemandem von dieser Episode!

Customers always ask us stuff, but servers never give the real answer... until today.We are answering the 10 questions every diner wants to know. What really happens when you send food back? What is the craziest thing YOU have ever seen in a restaurant? Drop it in the comments.ABOUT THE SHOW:The Modern Waiter Podcast is hosted by two friends with over 45 years combined experience. We break down server life, restaurant secrets, front of house vs back of house dynamics, and what really happens behind the scenes, for servers, bartenders, and people who love dining out. New episodes weekly.Please let us know what your thoughts are on this. Subscribe. Subscribe. Subscribe people. We will see you next week.Follow Me On Social Media:Instagramhttps://www.instagram.com/themodernwaiterpodcast/TikTokhttps://www.tiktok.com/@themodernwaiterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Tous les matins, à 7H10 et 9H45, on vous donne les bonnes nouvelles du jour.

Tool descriptions tell an agent what a tool does. They don't tell it how to use five tools together, in the right order, following your conventions. That gap is where this conversation lives.Filmed at AGNTCon + MCPCon in Tokyo with Ola Hungerford, Principal Engineer for AI Enablement at Nordstrom and a maintainer of the Model Context Protocol, who spent the last several months turning a pattern everyone was quietly reinventing into an actual MCP extension.Ola walks through what skills over MCP really means: the server stops being a pile of tools and becomes a distribution channel, handing the agent the instructions, workflows and knowledge it needs only at the moment it needs them. She explains why server instructions weren't enough, how progressive discovery keeps context from exploding, and why the same mechanism works for memory and preferences even when no tools are involved.Then it gets into the harder parts. What belongs in the MCP spec versus the agent skills spec. Why passing custom front matter through opens a rug pull and prompt injection surface nobody wanted. Where skills start to look like sub-agents, and why there's still no standard way to declare which servers a skill depends on. And the honest problem underneath all of it: how do you standardize something while everyone is still finding out what it's actually for, without breaking a hundred things the next time you change your mind?Timestamps:[0:00] Intro[0:21] AI enablement at Nordstrom[0:33] What skills over MCP actually is[1:29] The MCP server as a distribution channel[2:01] Server instructions versus skills[3:11] Distributing knowledge and memory[4:23] Progressive discovery explained[5:23] Where the idea came from[6:59] From draft to official extension[8:19] What early adopters changed[8:51] Front matter and custom metadata[9:57] Rug pulls and prompt injection risk[10:57] Will any of this get standardized[12:10] Marrying two very different specs[13:03] Skills as personas and sub-agents[13:53] The missing dependency standard[15:15] How the extension actually works[16:19] What harnesses still need to support[16:59] Consent and skill integrity[17:56] Where skills over MCP goes next[18:43] Why cramming 200 tools fails[19:41] Standardizing before you know the answer[22:18] Is git the wrong tool for agents[23:19] Picking tools for the actual persona[23:51] Trying to be less productive[25:48] The anxiety of idle agents[27:15] Why she keeps a robot on her desk[28:22] If the agent feels the friction, does it matter[29:41] Efficiency, waste, and caring enough[30:52] Letting an agent debug for you[32:03] Choosing your rabbit hole

Join The People's Server on discord here: https://discord.gg/wwG6KJF64p In this episode we ask when a location isn't a tech, and when an item isn't a tech, but then a tech isn't an item? It's all very confusing.  Andy and I both brought a deck to share: https://marvelcdb.com/decklist/view/63323/smoke-and-a-pancake-1.0 https://marvelcdb.com/decklist/view/57537/two-gun-kid-s-coordinated-attack-1.0  

We return to Hotline Hacked with a server rack that shuts down a factory, a college library ignoring a keylogger risk, Claude unexpectedly finding its way into a recruitment backend, and a few hacking stories that spiral in very different directions. Hacked is presented by NordLayer. NordLayer is a network security platform for modern teams. NordLayer gives companies centralized control over who can access their systems, keeps every connection fast and encrypted, and requires no additional hardware or complex infrastructure. nordlayer.com/hackedpodcast   Learn more about your ad choices. Visit podcastchoices.com/adchoices

We rebuild our media stack around Jellyfin 12, survive a major upgrade, and add self-hosted tools that make sharing with family and friends much better.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

Am I the Jerk? is the show where you can confess your deepest darkest secrets and be part of the conversation.

Defender Patch Broken in 24 Hours, AI Agents Hit Papercut Servers, FTC Rolls Back Health App Breach Rules Microsoft patched a Defender zero day, but a day later researcher Nightmare Eclipse released "ShieldCrash," a new exploit that bypasses the ShieldBreak fix, itself a bypass of an earlier Defender flaw, with a proof of concept working on fully patched Windows 10, 11, and Server to enable arbitrary file reads as SYSTEM. Researchers also tied recent Papercut print server compromises to a suspected Russian-speaking criminal who used hundreds of AI agents (OpenAI Codex and a DeepSeek model) plus tools like Mimikatz and Impacket to rapidly attack 440 servers across 395 organizations in 48 countries, heavily impacting schools and achieving domain admin in 12 cases. The FTC rescinded a 2021 policy applying breach notification rules to health apps and connected devices. Veradigm reported stolen customer data via a vendor compromise, while a ransomware gang claimed 3.5 million patient records. Fortinet went 92 days without a new critical advisory before disclosing two new critical bugs. Host David Shipley marks the 25th anniversary of 9/11. 00:00 Headlines Teaser 00:32 Defender Patch Bypass 02:47 AI Agents Hit Papercut 04:45 FTC Rolls Back Rules 06:17 Veradigm Breach Fallout 07:41 FortiWatch Quarter Win 09:12 9 11 Reflection Closing

durée : 00:35:41 - Le téléphone sonne - par : Ali Baddou - Alors que le Sommet international sur l'espace organisé par la France s'est clôturé hier et que les Etats-Unis comme la Chine investissent de plus en plus la conquête spatiale, comment préserver notre ciel à l'heure où il devient un espace de rivalités ? - équipe : Maëlle Polsinelli, Marie Merier, Karline Desrosiers, Jessica Bagic, Dieu merci Katavali Molongise Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

The Server Tier List is here. We're ranking every type of server you'll actually find on the floor, from the S-tier legends who make every shift look easy to the F-tier disasters who make the whole restaurant sweat. We've been in this business for over 30 years, and we've seen every type of server come through the door. Let us know in the comments who you'd add to the tier list, and where your coworkers land.#ServerLife #RestaurantIndustry #waiterlife Follow Me On Social Media:Instagramhttps://www.instagram.com/themodernwaiterpodcast/TikTokhttps://www.tiktok.com/@themodernwaiterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Windows Server Update Services (WSUS) was deprecated in Sept 2024 - when does it go away? Richard talks to Adam Marshall about how WSUS is still an essential service for Configuration Manager, included with Server 2025 and V.Next - it's not going anywhere! Adam talks about the use cases WSUS covers that no other update solution does, especially granular control of updates and offline scenarios. And while Microsoft is still feeding updates into the WSUS stack, no new code is going into the solution, making it hard to maintain. That is why Adam has been building WAM - WSUS Automated Maintenance. The stack includes free and paid tools, and all of them make your WSUS life easier! Links Windows Server Update Services Microsoft Intune Windows Update for Business Configuration Manager Windows Autopatch WSUS Automated Management Recorded Aug 20, 2026

Next time you sit down for a meal at an upscale restaurant, take a look around. Who greets you at the door? Who takes your order? And who is working behind closed doors in the kitchen? In fine dining, servers in major metro areas can earn upwards of $100k to $150k annually in tips. Yet front-of-house positions remain overwhelmingly white. In the latest episode of Trey's Table (Episode 461), we dig into the history, the high-profile class-action lawsuits, and the unspoken racial dynamics of the dining room. Every dollar spent is a vote for the kind of spaces we want to support.

Achtung! Speisekarte.de ist down, der Server ist überlastet. Um die Wartezeit zu überbrücken, könnt ihr euch die Haare wie Leonardo DiCaprio schneiden lassen, beim Kölner Straßenverkehrsamt ein Oldtimer-Kennzeichen beantragen oder euch beim Versuch, einen viralen TikTok Salat zu machen, mittelschwere Verbrennungen zuziehen. Viel Spaß!Besuche Giulia und Chris auf Instagram: @giuliabeckerdasoriginal und @chris.sommerHier findest du alle Infos und Rabatte unserer Werbepartner: linktr.ee/drinniesUnser Intro stammt von Sam Wilkes. Hosted on Acast. See acast.com/privacy for more information.

Bienvenue sur Happy Work Express.Chaque jour, en quelques minutes, un chiffre pour mieux comprendre le monde du travail… et surtout pour prendre un peu de recul.Happy Work Express est le format court et quotidien de Happy Work, le podcast francophone audio le plus écouté sur le bien-être au travail et le management bienveillant.Que vous soyez salarié, manager ou dirigeant, ces chiffres rappellent une chose essentielle :Ce que vous vivez au travail n'est ni isolé, ni anormal.Parfois, il suffit d'un chiffre pour relativiser, respirer… et avancer un peu plus sereinement.

Jordan and Max answer audience questions covering Enclos, what pairs best with ramen, fish bloodline thoughts, wine bags, DTLA's possible return, Saint James Iced Tea vindication, paying for bread baskets, dropping the check speed, real estate rivals, waiter behavior, more bidet talk, an ungodly pour of scotch, and the good, the bad, and the ugly of Infatuation LA's recent work.

Book a 1|1 Bitcoin Consulting call with mehttps://pathtobitcoin.xyz/Join my Bitcoin Learning Community & and access Free Courseshttps://www.skool.com/the-bitcoin-masters-4115/Where I buy Bitcoin (Free BTC & Non-KYC options)https://bitcoinwell.com/referral/bitcoinnotcrypto15% Stampseed Titanium Seed plates (BEST WAY TO STORE BTC PRIVATE KEYS)https://www.stampseed.com/USE CODE : BTCNOTCRYPTO155% off the MicroSeed Stamping kit CODE : HODLhttps://microseed.io/?ref=HODL5% off Start9 servers for plug & play Bitcoin NodesCODE: BNC5https://store.start9.com/Umbrel home for a Bitcoin node and home serverhttps://a.umbrel.com/hodl/umbrel-homeAffordable Privacy Phones & deviceshttps://www.mark37.com/ref/BNC/5% off using code : BNCBuy a Bitforge or Bitaxe here!https://dtvelectronics.com/store/?aff=22Use code hodl for 10% offHardware wallet optionsBlockstream Jadehttps://rewards.blockstream.com/ci9jj4Keystone 3 PRO 5% off using code ForrestHODLhttps://bit.ly/4qfJsVjBitboxhttps://shop.bitbox.swiss/?ref=yfghxxct5% coupon code "ForrestHODL"Free Open Source Bitcoin and Investment tracking toolshttps://plebtools.com/Become a Member of the Channel, Get exclusive content, and livestream playbackhttps://www.youtube.com/channel/UC2aM2gVVEHTu0pfE1ZyA0BQ/joinFollow Rajat, Jor, and I's new show togetherhttps://www.youtube.com/@MapleBitcoinJoin our Communityhttps://www.skool.com/maplebitcoinListen to this as a podcasthttps://podcasters.spotify.com/pod/show/bitcoinnotcryptoFollow me on Nostrnpub1zqm9zant0rxf49wfgw8pt5h0j50cetfes6hwa73u7sxstlzcsz8qh6x9fsFollow on Twitter/Xhttps://x.com/forrestHODLDonate to the show herehttps://coinos.io/BNCVFVSome of the above links may be Affiliate links that support this show at no extra cost to you. None of the links are Sponsored links. This allows me to only promote products and services I personally use and believe in.

Tablet POS systems are everywhere, but are they actually killing hospitality?Systems like Toast and Square, Management loves the mobility, but servers are losing the rhythm of hospitality, eye contact, and the ability to multitask across multiple tables.We cover why table side payment sounds great in theory but slows down split checks, why that "accuracy" claim is a myth, and why looking at a screen is making service feel like self checkout. Plus the cracked screens, dead batteries, and menu digging that wastes time you should spend with guests.If you work in restaurants, use a restaurant pos system, or are deciding on a POS system for your restaurant, this is the server truth no sales demo will tell you.#restaurantlife #serverlife Do you love or hate tablet POS systems? Let us know in the comments, are you team stationary terminal or team tablet?The Modern Waiter Podcast is hosted by two friends with over 45 years of combined experience. New episodes weekly on server life, restaurant secrets, and front of house vs back of house dynamics.SUBSCRIBE for weekly restaurant industry insightsFollow Me On Social Media:Instagramhttps://www.instagram.com/themodernwaiterpodcast/TikTokhttps://www.tiktok.com/@themodernwaiterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Market update for September 2, 2026Check out the Public app for incredible investing tools and to support the show (LINK)Follow us on Instagram (@TheRundownDaily) for bonus content and instant reactions.In today's episode, Zaid covers:Why bond yields are surging around the worldDell's monster earnings, including its booming AI server business and record backlogGoPro's surprise sale just one day after YouTuber Markiplier disclosed a huge stake in the companyUber's 3,300 job cuts as it flattens management and ramps up investment in robotaxisWhy MongoDB stock is getting crushed despite beating earnings expectationsStan Kroenke's deal to buy the Los Angeles Angels and add yet another team to his massive sports empire

Join The People's Server on discord here: https://discord.gg/wwG6KJF64p In this episode, we talk about a card you probably forgot existed, and find out that it's really good! Join us as we discuss United We Stand and go deep on some Avengers. We also discuss a listener email about con decks and con etiquette, whether power creep is a problem, and take a look at a deck that Andy brought to share: https://marvelcdb.com/decklist/view/55641/savage-transformation-2.0  

This week's throwback guest studied Logistics and supply chain management, as well as held roles from Server and Sales Associate in retail, to Named AE. He worked at companies such as Apple, Symantec, MongoDB, Metadata, and Proofpoint, before leading Dimmo, where they are changing the way people evaluate and buy software where you can watch SaaS demos without jumping into sales cycles. Since this conversation, he had the shift to Tailscale as an Enterprise Account Executive. When he isn't at work, he is spending time golfing, and spending time with his family. Without further ado, please join me in welcoming Troy Munson to The 20% Podcast. In this week's episode, we discussed:- His early years- Studying Supply Chain and how it relates now- Discuss his experiences selling software- The lead up to Dimmo- The future of buying softwareEnjoy this week's episode with Troy Munson.I am now in the early stages of writing my first book! It will cover my journey into sales, the lessons learned, and include stories and advice from top sales professionals around the world. I'm excited to share these interviews and bring you along on this journey!Like the show? Subscribe to the email: Subscribe HereI want your feedback! Reach out at 20percentpodcastquestions@gmail.com or connect with me on LinkedIn.If you know anyone who would benefit from this show, please share it! If you have suggestions for guests, let me know!Enjoy the show!

durée : 00:12:18 - Les Nuits de France Culture - par : Albane Penaranda - Poésie et engagement n'ont cessé de s'entrelacer dans la vie et l'œuvre de René Depestre. Exilé très jeune d'Haïti en raison de sa rébellion, le poète n'a jamais cessé d'interroger la place de l'écriture et de la poésie face à l'action politique et à l'histoire en marche. - équipe : Mathias Le Gargasson, Antoine Dhulster, Rafik Zénine, Vincent Abouchar, Emily Vallat, Hassane M'Béchour, INA Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Hi, Spring fans! In this episode, I talk Spring Security's Joe Grandja about Spring Authorization Server's graduation into Spring Security 7, and the new security heavyweights DPoP and PAR.

Duji has discovered TikTok live auctions. The Flintstones and The Jetsons. Waitress says gratuity doesn't count as a tip for your server. See omnystudio.com/listener for privacy information.

Duji has discovered TikTok live auctions. The Flintstones and The Jetsons. Waitress says gratuity doesn't count as a tip for your server. 

You got the email, you're confused, let's break it downSo Tailwind sent out an email about something called an MCP server, and if you read it and thought "what does that even mean," you're not alone. Let's break it down simply. MCP stands for Model Context Protocol. Think of it as a translator between AI assistants, like Claude or ChatGPT, and the software you already use. Before this, if you wanted an AI to help with a task, you'd copy information out of one app, paste it into your AI chat, get a response, then copy that back into the other app. Clunky. MCP removes that step. It lets your AI assistant talk directly to Tailwind and actually do things inside it. So now, instead of opening the Tailwind dashboard, you can tell your AI assistant to schedule a Pin, and it happens. That's what the email was announcing.Does this fit into your existing workflow, and is it even necessary?Here's the question I'd actually ask if I got that email. If you're already using Tailwind to schedule, does this save you time? Fair question, because scheduling itself isn't really the bottleneck Tailwind already solves. The real time savings comes from cutting out the handoff between drafting your content and publishing it. Right now your workflow could look like this. You draft your pin copy somewhere, then you go open Tailwind, upload the image, paste in the title and description, pick the board, hit schedule. That's two tools and at least one copy-paste step. With MCP, drafting and scheduling happen in the same conversation. You write the pin copy with your AI, and it just does that last step for you. One less tool, one less switch.But I'll be honest with you. If you're just batch pinning of pre-made images with no copy to write, Tailwind's own scheduler is already fast, and this won't feel meaningfully different. It shines when content creation and scheduling are two separate steps you're doing back to back. This collapses them into one. So is it necessary? No. Is it useful if your workflow already starts with writing? Yes.How to leverage AI for your Pinterest marketingIf you're going to use AI for Pinterest at all, the highest value spot isn't the scheduling piece, it's the content piece. Use it to draft pin titles and descriptions, brainstorm keyword variations, repurpose a blog post or podcast episode into pin copy, or review what you already have scheduled and catch gaps. The AI is most useful the moment before something needs to be written, not the moment it needs to be clicked.A few questions to ask yourself before you adopt thisBefore you add any new tool or integration to your workflow, ask yourself these:Does this remove a step I'm already doing, or does it just add a new thing to learn?Is my current bottleneck actually scheduling, or is it content creation?Will I actually use this weekly, or is it a shiny new feature I'll try once and forget?Does this fit how my team already works, or does it require retraining everyone?If you can't answer yes to at least one of those in a way that saves you real time, it's fine to let this one sit for now. Not every new AI feature needs to become part of your process.—-------Here are some helpful links from the podcast:

Can you really make $10,000 in one month serving tables? TikTok's (https://www.tiktok.com/@kennyonshift) Kenny Johnson did, and he breaks down exactly how on this episode of the Modern Waiter Podcast.We sat down with Kenny Johnson, the Philly-based server and TikTok creator who teaches servers how to hit $5K and $10K months. We get into the real strategies behind his $10K month, why most servers stay broke, and what you can change on your next shift.You will learn why you should stop asking to be cut, why doubling Friday, Saturday and Sunday is non-negotiable, how transition tables during doubles make easy money.Have you hit a $10K month serving? What was your best month?Follow Kenny Johnson on TikTok: https://www.tiktok.com/@kennyonshiftFollow Me On Social Media:Instagramhttps://www.instagram.com/themodernwaiterpodcast/TikTokhttps://www.tiktok.com/@themodernwaiterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Game server hosting is the layer nobody thinks about until it breaks. In this episode, Kalie Moore sits down with Max Podkidkin, Co-Founder and CEO of BisectHosting, to unpack how a Minecraft server that went dark for three days turned into a 15-year infrastructure business serving hundreds of thousands of customers across more than 140 countries. Max put the first hardware on a credit card, recruited a co-founder he met in his own Minecraft community, and built the company to nearly 100 employees without ever raising outside capital. They get into what those early years actually looked like, including hiding a laptop on a cart at a factory job to answer support tickets, the two years he and Andrew worked together over text before meeting face to face, and how a US and UK split gave them 24/7 coverage with a team of two.The conversation also covers how the hosting business really works, from the economics of renting out resources to why running a server at home costs more than most people think. Max explains why BisectHosting has turned down repeated acquisition offers while private equity consolidates the market around them, how the team gets into a studio's Discord and pre-tests server files before working with a game studio, and what 15 years of hosting communities has taught him about why modding and UGC keep games alive long after launch. He also shares the studio's approach to AI, including Biko, the assistant built into their server panel that has cut support tickets by double digits without a single person losing their job.Big thanks to Heroic Labs for making this episode possible. Gram Games used Heroic Labs to tailor offers and events by player cohort, calling it "critical" in a post-IDFA world where retention is everything. Read how Gram merged personalization and advanced social features into a core system of their live operations: https://heroiclabs.com/blog/gram-games-case-study/?_gl=1*709y52*_up*MQ..*_ga*MTI0MTAzNTM2Ny4xNzg1MjI4NzQ2*_ga_R9WLGSZ1KN*czE3ODUyMjg3NDUkbzEkZzAkdDE3ODUyMjg3NDUkajYwJGwwJGgw We'd also like to thank Overwolf for making this episode possible! Whether you're a gamer, creator, or game studio, Overwolf is the ultimate destination for integrating UGC in games! You can check out all Overwolf has to offer at https://www.overwolf.com/.If you like the episode, please help others find us by leaving a 5-star rating or review! And if you have any comments, requests, or feedback shoot us a note at podcast@naavik.co.Who's On:Guest - Max Podkidkin: https://www.linkedin.com/in/max-podkidkin/Host - Kalie Moore: https://www.linkedin.com/in/kaliemoore/ Watch the episode: YouTube ChannelFor more episodes and details: Podcast WebsiteFree newsletter: Naavik DigestFollow us: Twitter | LinkedIn | WebsiteSound design by Gavin Mc CabeLinks mentioned: https://www.bisecthosting.com/

Service and servanthood. They're at the heart of what it means to follow Christ. But if you've tried it, you know how tough it is. This week on The Land and the Book, we’ll look at some of the greatest servants in Scripture. We’ll pick up tips we can use. Plus, Charlie Dyer has all the headlines from the Middle East. And Gerald Peterman answers your Bible questions. That’s all this week on The Land and the Book, from Moody Radio. Join us!Donate to Moody Radio: http://moodyradio.org/donateto/landandthebookSee omnystudio.com/listener for privacy information.

Every restaurant has them. From the Rockstar Server who never misses a dessert upsell to the Burned Out Manager who mentally quit two years ago, we break down every type of restaurant worker you've ever worked with or been served by. #serverlife #restaurantlifeWorking in a restaurant means navigating a cast of characters unlike any other industry. Which archetype are you? Which one is hardest to work with? We will answer that in the next show.Follow Me On Social Media:Instagramhttps://www.instagram.com/themodernwaiterpodcast/TikTokhttps://www.tiktok.com/@themodernwaiterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this episode of Justin, Scott, and Spiegel we are joined by an old friend. Former WBAL News Radio Personality John Mathis joins us in studio along with Bread and Circus owners Steve and Martha Fox!!! Tune in to hear the morning show talk about The Server Games and what's to come to the Town area. What's The Server Games all about? Hit play to find out!