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TUESDAY HR 4 Detective Barb from Central Florida CrimeLine instudio. How CrimeLine started. Need info on what went down in Sanford. After years of research and studies it has been determined that IMF is real. There are many treatments for it. Complain at GEN Z all you want, it's the parents fault? See omnystudio.com/listener for privacy information.

Some Shakopee residents living near the new Mystic Lake Amphitheater are complaining about the noise going late into the night. Do they have the right to be upset about it?

FOLKS thanks for listening. Follow Joseph: https://www.instagram.com/josephgarcia.wav/Follow Brogan: https://www.instagram.com/theroguebrogue/(0:00) - Joseph's crowded childhood and family stories(9:22) - Joseph's mom tests whether he'd get into a stranger's car(14:04) - Brogan's ex-boyfriend story: was she the asshole?(22:10) - AITA for ending a friends-with-benefits friendship?(32:58) - AITA for asking a guy in a hat if he has hair?(44:02) - Is it okay to date multiple people at once?(63:00) - AITA for hiding my webcomic from my wife?BEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

On this episode of Low Budget Live (Not So Live), Luke runs his mouth about the month of October 2026 being the biggest month in bass fishing history payout wise, Bassmaster viewership up, Bassmaster Elite Series format for 2027, the kids are complaining about FFS too, and more! Learn more about your ad choices. Visit megaphone.fm/adchoices

Sermon Audio from September 27, 2026 (Eighteenth Sunday after Pentecost) on Philippians 2:1-4, 14-18

Mike and Chris continue to discuss the Falcons and and react to their win over the Packers and agree that there was not much to complain about with the Falcons overall team performance.

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Tickets for AIE NYC now open, and apply for the invite-only AIE CODE. Join us!We have an unusual relationship with today's guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped every mode other than autoregressive chat-tuned LLMs because of the overwhelming success of ChatGPT.In a launch video now viewed ~40M times (by comparison, GPT4o was 22M, Fable 5 was 15M, Navier Stokes was 74M, and 6 Astra was 137M), Diogo introduced Jev and it immediately took over the AI timeline — we'll skip full Jev explainers because your favorite AI influencer/educator has probably already done one. We also collected:* the official patterns and cookbooks you should see first, from Allie* Jev usecases* speed based - games and computer use* the voice + computer use example we discuss at 1h34 mins* voice + browser control* The must not miss Doom demo* Driving cars in games* Excalidraw* virtual try-ons* “Smart Games”/smart NPCs* guided responses in text messages* Jev for coding agents has an official guide * jev for linting* compacting tool calls* reasonable pushback from Theo - Diogo has published a note on the Tyranny of the KV Cache that you should read as a followup after the pod for Jev + coding agents, because of his belief that Cache Rules Everything* Programming Languages built atop Jev (Diogo's fave)* Jev for analytics replay and user journey review* “dark data”* entity resolution* natural language search* “smart software”* a core goal of Jev is to “disappear into the background” - eg as unremarkable as regex* Jev as a judge* Jev memes* Jev vs LLM capabiltiies* blending transformers and classifiers* about the confidence api* Jev vs GLiNER (note difference/pushback, agreed, agreed, agreed)* Jev on trolley problem* Jev BushInstead we'll focus on what we can uniquely offer — a broader philosophical and mission-based understanding of how and why Jev was created, and what you should expect next in terms of future models from TypeSafe (ReasoningJev?) and what usecases and ideas you should work on vs the 55th low effort clone of Jev's API or doing a generic JevBench benchmark - something Diogo has rejected publicly.Why RLCD: Three kinds of RLHF, and why they are ALL the wrong north starDiogo knows a good deal about RLHF, given that he was on the team that pioneered post-training at OpenAI — and traces the three branches to Christiano et al 2017 (the robot backflip demo), Stiennon et al 2020 (learning to summarize) and his baby, Ouyang et al 2022 (InstructGPT). From there on, every innovation from Function Calling to Structured Outputs to Reasoning felt like a hack on top of the string based, sequence to sequence prediction paradigm. As he mentions on the pod, from 2023-2024 he struggled unsuccessfully, due to both personal and organization underestimation, to train a model that accurately addressed what he saw as the core problem with making LLMs the heart of software: reliability.Jev's core innovation is "Reinforcement Learning for Calibrated Decisions”, a novel, unpublished technique that optimizes for “answers with epistemically honest probabilities on System One tasks” rather than human rated feedback (RLHF) — which causes hallucinations, sycophancy, and permanent reliance on humans — or programmatically verifiable outputs with rubrics (RLVR) — which solves Navier Stokes but exacerbates jagged intelligence and doesn't integrate well with other software.We've talked about the calibration problem before on the pod, but probably the single best place to understand why RLCD became necessary is Diogo's AIE talk, which discusses why a generation of training helpful AI assistants for humans has impaired them for training models for composable, programmable AI for automation.At the end he also teases his contrarian opinion on scaling laws - which teases how to build a modern neolab without the billions of dollars the major labs have…The Bitterest Lesson: Tasks and Data beats ComputeWe spend a good amount of time discussing Diogo's essay on the Bitterest Lesson:His point is that “You get what you optimize for and the bitterest lesson in ML is that the most important part of it isn't ML at all.” - and picking the right north star, eg upvoting for user preference vs being integrated into tool calls - makes everything else fall in line.We're excited to catch up with a freshly dyed Diogo to discuss:* Why AI can solve extraordinarily hard problems but still fail to automate basic work* What System One Models are and why Jev is built for software rather than chat* RLHF, mode collapse, calibration, and the hidden costs of optimizing for human preferences* Why refusals become a problem when AI is buried inside software dependencies* Why TypeSafe rejects public benchmarks and optimizes for intelligence per dollar* The “bitterest lesson”: why the right task and the right data can matter more than compute* Why TypeSafe thinks of itself as a data lab rather than a model lab* RLCD vs. RLHF and RLVR as fundamentally different North Stars for AI* Why reliability and robustness matter more than simple determinism* Jev's programming primitives and how intelligence maps into software control flow* Why developers should decompose AI workflows into small, measurable decisions* How structured state replaces giant prompts and system messages* Why Diogo thinks AI should eventually disappear into the background of software* The “inverse SaaS-pocalypse” and how AI could supercharge existing software* System One vs. System Two intelligence and the limits of reasoning models* Dark data, computer use, real-time intelligence, and Jev's biggest early use cases* Why Jev could reshape coding agents built around a single-model architecture* Why Diogo says he wouldn't pre-train with $1 billion* The OpenAI journey that led to TypeSafe and why he thinks many neo-labs are approaching AI incorrectly* Coding agents beyond the KV cache, shared state, sub-agents, and the multi-agent futureDiogo Almeida* LinkedIn: https://www.linkedin.com/in/diogomda* X: https://x.com/CompleteSkeptic* TypeSafe AI: https://typesafe.ai/Timestamps00:00:00 Jev Launch Week and the AI Economic Revolution00:02:50 What Is Jev? System One Models and Programmable AI00:05:54 RLHF, Mode Collapse, Calibration, and Yann LeCun00:10:29 Programmatic AI, Refusals, and Safety Alignment00:17:21 Why TypeSafe Rejects Public Benchmarks00:20:43 The Bitterest Lesson: Data, Compute, and the Right Task00:24:59 RLCD vs. RLHF and RLVR00:28:42 Why Powerful AI Still Hasn't Automated the Economy00:39:55 Reliability, Robustness, and Determinism00:48:11 Model Versioning, LTS, Speed, and Intelligence per Dollar00:54:04 Inside Jev's API and Programming Primitives00:58:28 How to Build with Jev: Structure, Decomposition, and Small Decisions01:18:28 The Inverse SaaS-pocalypse and AI Disappearing into Software01:33:21 Computer Use, Dark Data, and Jev's Biggest Use Cases01:38:48 How Jev Could Reshape Coding Agents01:41:00 AI Safety, Frontier Pacing, and the Limits of RLVR01:48:03 Why Diogo Wouldn't Pre-Train with $1 Billion01:55:19 The OpenAI Story Behind TypeSafe02:01:41 Why Diogo Thinks Most Neo-Labs Are Getting AI Wrong02:08:00 Coding Agents Beyond the KV Cache and the Multi-Agent FutureTranscriptIntroduction: Jev Launch Week and Developer MomentumSwyx [00:00:00]: Okay, we're in the studio. A special occasion because this week, Diogo, my good buddy, launched Jev, and it's been taking over the complete timeline. How do you feel? What's it like to be you right now?Diogo Almeida [00:00:16]: Emotionally?Swyx [00:00:17]: Yeah.Diogo Almeida [00:00:17]: Never been worse. Like, I'm a ragged corpse of a person right now because there's so much going on, and I'm like a technical CEO, so I have, like, a lot of fires to fight.Swyx [00:00:29]: Yeah.Diogo Almeida [00:00:29]: But mentally, I feel—I say this all the time, and I've been saying this kind of for years in my over-under events. Like, I feel like the entire AI field is like one of those, like, carnival house of mirrors, and everyone is just insane and saying the weirdest stuff that doesn't make sense. And it feels like for just this week, like, I'm on a better in sync with reality and like, oh, people see it now. AI can be so much more than what was once thought.Diogo Almeida [00:01:06]: And like, yes, we are going to make. Like, an AI-based economic revolution is back on the table, and this is f*****g awesome.Diogo Almeida [00:01:17]: I'm so jazzed the developers get it. It's, it's, Yeah, and I want to show my eternal gratitude to the developers andSwyx [00:01:25]: Yeah.Diogo Almeida [00:01:26]: I'm so jazzed about the community and everything. It's so great.Swyx [00:01:28]: Yeah, you were saying yesterday that you decided to prioritize the town hall and not a bunch of, like, VIP, investor-type people because you wanted to make sure that they are the people that you get your most, attention, right? The engineers, the developers.Diogo Almeida [00:01:43]: Yeah, it felt a little like, oh man, I'm talking to, like, really important people right now.Swyx [00:01:47]: Yeah.Diogo Almeida [00:01:47]: I probably shouldn't reveal who.Swyx [00:01:48]: Yeah.Diogo Almeida [00:01:48]: But it feels a little bit dirty for me to, I'm, like, perhaps overly genuine in things. Like, it feels, like, dirty if, like, in my gigantic calendar event of people to talk to, the community isn't one of those.Swyx [00:02:04]: Yeah.Diogo Almeida [00:02:04]: And actually, in my ideal world, it would be, like, community all the time. I was thinking, “Should I host a town hall while walking to your studio?” And I'm like, “No, that's too crazy.”Swyx [00:02:12]: Sure. Yeah. Well, you guys have been hosting town halls on Discord. Discord is now 100,000 people. Your Twitter'sDiogo Almeida [00:02:19]: I don't follow these stats.Swyx [00:02:20]: Yeah.Diogo Almeida [00:02:20]: So holy s**t.Swyx [00:02:21]: Your Twitter's blown up. It was, it was really funny ‘cause, like, at AIE, you were like, “Yeah, follow me please,” and then you didn't, like, provide even your handle.Diogo Almeida [00:02:29]: I'm a noob. I'm a noob.Swyx [00:02:29]: You're such a noob.Diogo Almeida [00:02:30]: I'm a noob.Swyx [00:02:31]: But no, but that, like, that's, like, positive aura that, likeDiogo Almeida [00:02:33]: CoolSwyx [00:02:33]: You don't know how to promote yourself.Diogo Almeida [00:02:35]: Yeah. Someone, like, called me out when I posted, like, “Holy s**t, we're all three twending-- trending topics.” And then they're like, “That's a personal feed.”Swyx [00:02:42]: That's a personal, yeah.Diogo Almeida [00:02:43]: And I'm like, “Oh, no.”Swyx [00:02:44]: Of course, of course it'll trend to you.Diogo Almeida [00:02:45]: Cringe. Yeah.Swyx [00:02:45]: Yes, ‘cause it's what you clicked on.Diogo Almeida [00:02:47]: Yeah.Swyx [00:02:47]: So okay. Let's, Yeah, so congrats on everything.What Is Jev? System 1 Models and Intelligence per DollarDiogo Almeida [00:02:50]: Thank you.Swyx [00:02:50]: We'll talk about more, details as you have them. But let's, for people who are, like, living under a rock or just want, like, the definitive thing, what is Jev?Diogo Almeida [00:03:02]: Whew. Let me think about. That's a hard one.Swyx [00:03:07]: Okay. And I'm happy to, like, re-ask if you wanna kind ofDiogo Almeida [00:03:09]: No. I'm happy toSwyx [00:03:10]: OkayDiogo Almeida [00:03:10]: I'm happy to, like, just jam on it.Swyx [00:03:12]: Yeah.Diogo Almeida [00:03:13]: I will say, like, the first thing that I'm relieved about with this question is now I don't have to answer that question to my parents anymore ‘cause ChatGPT can just explain it.Swyx [00:03:20]: Nice.Diogo Almeida [00:03:21]: So the way I see it is we new-- need a new class of models. We're not attached to naming that class of models. Our-- the most accurate name we've come up with is System 1 models.Swyx [00:03:33]: Yeah.Diogo Almeida [00:03:33]: There will be reasons, but it's-- there's a reason why we don't call them decision models, because, like, they will be. Like, System 1 is beyond that. That's all I can say. We didn't expect this to be our big launch, so we have stuff in the tank.Swyx [00:03:48]: You should have said low-key research preview.Diogo Almeida [00:03:52]: It kind of was, right? It kind of was. But we. So there's a class of models that we describe them as, like, machine-native, System 1, large programmable. I think these are-- is the class of models where the goal is for code to be the consumer. So as opposed to, lar-- pre-trained large language models, which are meant for, like, autocomplete of the internet, or RLHF models, like chatbot instruction-following models, which are meant to, like, reply to text, or RLVR. It's in a weird gray area with RLHF. Like, these are meant to have things that directly are consumed by code, hence the name type safe. So the thing we really want is to have, like, AI, like, be as powerful as possible, and we think the way to do that is to integrate it with software. And we are designing everything, beyond just the outside, the deep internals of the model to be optimized for software. So number one, Jev is our first large programmable model, or a System 1 model, whatever you want to call it. Jev is meant to be optimized for intelligence per dollar, hence the name Jev.Swyx [00:05:03]: Jevons Paradox.Diogo Almeida [00:05:03]: Jevons Paradox, yeah. And it's optimized for intelligence per dollar. I love this debate with people about what is the most important between reliability, cost, calibration, and speed. And Jev is meant to be. Jev will be the name of models that will be on the frontier of intelligence per dollar. There's other ways to optimize it, like, ML, or at least if you're good at ML, it's all about trade-offs. And we are just going all out on that.Calibration, Mode Collapse, and the Limits of RLHFSwyx [00:05:31]: Yeah. And to me, like, calibration is one of the new things that people weren't talking about as much. We've done an episode In the past, with Clementine Foreia of Hugging Face, where they were like, “Yeah, actually, y- they're just.” Or, and this is your whole argument about RLHF, is they're more collapsing towards what you want to hear the mostDiogo Almeida [00:05:50]: OohSwyx [00:05:50]: Or what is most likely, instead of, like, their own internal confidence about a thing.Diogo Almeida [00:05:54]: Can I soapbox on that for a second?Swyx [00:05:56]: Go ahead. Yeah.Diogo Almeida [00:05:57]: Cool. Like, I've been heard that your audience is the most technical, so I actually want to get into that.Swyx [00:06:02]: Yeah.Diogo Almeida [00:06:03]: And if- I went through extreme precision to make sure everything in our launch video is accurate and real. Apparently, that's very unusual. One of the things that no one paid attention to was the downsides of RLHF, in particular mode dropping.Swyx [00:06:17]: Mode dropping or mode collapse?Diogo Almeida [00:06:19]: It's the same thing.Swyx [00:06:19]: Is that what you call it?Diogo Almeida [00:06:20]: It's the same thing.Swyx [00:06:20]: All right.Diogo Almeida [00:06:21]: And I wanna have a blog on this eventually, but I, like, want to tell as many people this as possible ‘cause I think it's a very interesting thing. So the spicy take, I believe in Yann LeCun a lot. I think Yann LeCun's takes are actually among the closest toSwyx [00:06:36]: What about this?Diogo Almeida [00:06:37]: Well, should I address this now or should I wait and go into mode collapse?Swyx [00:06:40]: No, later. Go mode, go mode collapse. I don't know.Diogo Almeida [00:06:42]: So I actually think that among takes, Yann LeCun's is among the most accurate. But he has this very famous/infamous slide about,Swyx [00:06:52]: The cake?Diogo Almeida [00:06:53]: LLMs are doomed.Swyx [00:06:54]: Okay.Diogo Almeida [00:06:54]: Like that one where he, like, has, like, a pie chart with, like, a tiny par-- tiny little thing- and says that as you increase sequence length, the probability of it making an error goes in. Yes, this one. This one. I love this one, because it's one of these things that seems mathematically obvious, but is obviously wrong, right? Like, it's mathematically obvious, but it doesn't empirically hold. And this is my favorite thing to teach people about, like, where youSwyx [00:07:21]: What's the disconnect, right?Diogo Almeida [00:07:22]: Exactly. And may I or you want to tell me?Swyx [00:07:27]: About mode collapse?Diogo Almeida [00:07:28]: Oh, no. Oh, so mode clop-- collapse is related to this.Swyx [00:07:31]: Yeah.Diogo Almeida [00:07:31]: The disconnect happens because if you are in a mode covering or a calibrated distribution, you are, like, not. You are not overly punished about having outliers. You'd expect, like, something. Some amount of the time you'd be out of distribution, some amount of time you'd be in distribution. That's what happens when you cover the distribution. This was like models before GANs. They made blurry images, right?Diogo Almeida [00:07:54]: Instead, GANs mode drop. They, like, drop the minority classes and just do the really common ones. And this is why this effect doesn't happen, right? Like, instead of be-- in order to generate really long strings, without making errors, they need to, like, be extremely conservative because it's e- really easy to see when an error happens. It's very hard to see when, like, a subtle thing that looks correct happens. And that calibration is, like, total poison into, like, the probability distributions of strings.Swyx [00:08:22]: Yeah.Diogo Almeida [00:08:23]: And it's, it's a nuanced take and like, I think that This is why this doesn't happen, and this is why strings are so bad at, decision-making or, overloading the string models are for decision-making is, like, a bad time.Yann LeCun, JEPA, Scaling Laws, and Practical ResearchSwyx [00:08:38]: And while we're on the topic of Yann, do you agree that his fix i- with-- which is like a world model, like a JEPA-type, embedding thing is the right solve? So basically, like, the. One of the reasons that it could fail is because you're trying to reason over token outputs and then, and then just looping back again and going. Keep, continuing going until you reach, like, a end of sentence. Like, is that, And his solve is JEPA, right?Diogo Almeida [00:09:02]: Yes.Swyx [00:09:02]: Which is, like, joint ambition,Diogo Almeida [00:09:04]: YeahSwyx [00:09:04]: Joint embedding prediction. So like, is that the solve or, like, do you have a. Do you have a take on that?Diogo Almeida [00:09:10]: Oh, man. I probably shouldn't talk too much about the insides of ML, but I will say that my brand, other than unhinged, is practical.Diogo Almeida [00:09:20]: Like, even my take here is practical. And like, I'm. Am I a scaling law fan? Depends. It dep-- it's, it's, it's, like, it's. Scaling laws tell you how much better you get at a thing for amount in.Diogo Almeida [00:09:33]: A scaling law does mean exponentially more resources for normally sublinear gains, which looks to be a bad investment unless those, like, linear gains are, like, really valuable. But it's all. To me, it's all about, like, what can we do with what we have to make the biggest possible f*****g difference? I can curse.Swyx [00:09:51]: Yeah.Diogo Almeida [00:09:51]: Yeah.Swyx [00:09:52]: Yeah.Diogo Almeida [00:09:52]: Yeah.Swyx [00:09:53]: We're, we're, we're approved for adults.Diogo Almeida [00:09:54]: Hell yeah.Swyx [00:09:55]: And also we have a scaling law thing if you wanna go into that later.Diogo Almeida [00:09:58]: Oh, I could if we. See, that part is not super relevant right now.Swyx [00:10:02]: Yeah.Diogo Almeida [00:10:03]: I actually. If you wanna go into my bitterest lesson, I think that's more relevant.Swyx [00:10:06]: Okay.Diogo Almeida [00:10:06]: But like, to me, I'm all about, like, pragmatics. And I think that the JEPA stuff is really cool early research. I really love awesome research. Is it practical yet?Diogo Almeida [00:10:21]: Probably shouldn't say. But like, there's just a lot of.Diogo Almeida [00:10:29]: I just think there's just, like, so many diamonds in the rough let all over the research world right now that haven't been polished because people don't know how to, like, do the right task. And I think that what our launch did, it. Does it kickstart us as a company? Like, yes. Will it be great for us as a company? Yes. I think it's gonna be, like, even greater for this direction of, like, programmatic AI. There was going to be, like, a gold rush on top of us for. ‘cause, like, software is super f*****g charged. But I think there's gonna be a gold rush parallel to us as well on, like, all the different ways we can expose things to make software more powerful so people can make even cooler stuff. And then we are back to, like, early internet energy?Swyx [00:11:12]: Yeah.Diogo Almeida [00:11:12]: And I think that's why, like, the Twitter is just like, “Jev.”? It's, it's like. It is a partySwyx [00:11:18]: It's inspiring because it's, it's, like, so different than what we're used to, which is, “I'm sorry you can't do this, but we do scaling laws and only the big labs can do it,” right?Diogo Almeida [00:11:28]: That. Actually, if I. I'll, I'll make a tangent if that's okay.Swyx [00:11:32]: Yeah.Diogo Almeida [00:11:32]: I think you might enjoy this.Swyx [00:11:33]: Really? Our five tangents in. It's good. It's fun. Yeah.Diogo Almeida [00:11:35]: Oh, yeah. I get lost at all my tangents.Swyx [00:11:37]: This is gonna be horrible for the listeners to figure it out, but they're gonna figure it out. It's fine.Safety Alignment, Refusals, and API PhilosophyDiogo Almeida [00:11:40]: Yeah, we can edit it in post.Swyx [00:11:40]: This is my response. Yeah.Diogo Almeida [00:11:41]: So popular thing on Discord, that people keep asking me, I haven't had the time to explain it yet, is why am I opposed to safety alignment and why do we not refuse? I'm not opposed to safety as a principle, but I think that safety alignment is generally misaligned with users. And refusal is just, like, obviously a type error. Like, if you're a human being and you're chatting with, like, a bot or whatever, you're cloud coding, and a refusal happens, like, “I'm sorry, I can't read DNA.py.” that's an annoying time. It's anno- it's, it's annoyingDiogo Almeida [00:12:18]: Right? But you can work with it, right? And you're forced to work with it ‘cause of Stockholm syndrome.Diogo Almeida [00:12:23]: I have stories about that too. I need another tangent deep in here. But like, if you ever want this in a dependency running in the background, what happens if that refuses? What if someone else is using that dependency? They don't know what that system is. Like, you want the software to just stochastically break because a user sent, like, a weird message in there?Diogo Almeida [00:12:42]: Like, that is, like, straight-up insanity. It's coming from a place of, like, people who do not understand software, do not understand programming, and like, they are obsessed with, like, I believe this, horseless carriage of, like, AI coworker instead of unearthing, like, the full power of AI.Swyx [00:13:01]: Fair enough.Diogo Almeida [00:13:01]: Yeah.Swyx [00:13:01]: You want something that is the core kernel that is usable everywhere.Diogo Almeida [00:13:05]: Yes. Exactly. Like, the cognitive core, right?Swyx [00:13:07]: Yeah.Diogo Almeida [00:13:08]: And you need this thing to be s- like, so general, so optimized for its use cases. You want it to be, like, you want it to work on all the future use cases, all the weird s**t that people are doing.Swyx [00:13:19]: Yeah.Diogo Almeida [00:13:19]: We obviously didn't train on any of that stuff. Is it surprising that it works? No, ‘cause we trained on weirder stuff, my friend.Diogo Almeida [00:13:28]: So. But one tangent up about, like, safety alignment.Swyx [00:13:32]: Okay.Diogo Almeida [00:13:32]: Safety alignment makes sense for a product, in my opinion, for, like, ChatGPT and Claude. Like, it, What safety, what makes safety and capability alignment different is capability alignment is, like, about doing what the user wants. That is sick for software engineers. They want their thing to do the thing, and the more predictable it is, the less they have to test it and play around with it. Jeb is not anywhere close to that yet. It could be, but like, there's so many more nines of reliability that we want in order to make it so good, like a database query, that you don't even have to think about it. It is just there when you need intelligence. But safety alignment is, like, the opposite of instruction following. It's when you want to follow someone else's instructions, like OpenAI and AnthropicSwyx [00:14:13]: The RAGs value stack.Diogo Almeida [00:14:14]: Exactly. And this makes a lot of sense for a product. Again, like, ChatGPT should do. Y- you sh- like, if they don't want to, like, do, like, some, not-safe-for-work role play with ChatGPT, that's on them because, like, maybe that's, what their users who have, like, parents and kids want. Like, n- that's fine. But in an API, that's nuts, right? Like, that's completely unacceptable because, like, people need to, like, program around this, and that is, that's so anti-user that it's. It. I'm. Huh. I can be an angry person, so I should try to calm down.Swyx [00:14:52]: It's, People get your passion, and I think that's really good. The one pushback I'll give you is, like, what if we use it to kill people, right? Like, that is the actual. Like, n- the not-safe-for-work thing, it's private, personal, whatever. But like, yes, like, we will use it in war. And like, that is, something that companies can reasonably prefer their APIs not be used for.Diogo Almeida [00:15:14]: I get that. I think that there's, like, pragmatic places where that opinion can be held. I don't think the foundation of, like, a general-purpose technology is that place, personally.Diogo Almeida [00:15:27]: Like, would I prefer that our stuff is not used to kill people? Obviously. Would I prefer it's used for, like, all sorts of, like, great stuff in the world? Obviously. Will I put my thumb in the scale for that? Yes. Will I do it at the technological layer? Absolutely not, because that will fracture the intelligence. Every single time you mean it to overfit to some weird stuff, you're fracturing its intelligence more and more. And like, these things are fractured to the, like. They're so darn fractured right now.Swyx [00:15:54]: Yeah.Diogo Almeida [00:15:54]: So and as a furthermore thing, to me, it's like I think intelligence will be more like a database than a coworker. Like, I don't think it's up to databases to add checks on whether or not they're used for, like, what's something that's not great? Like, CIA. Actually, I don't know what the CIA does, really. You can imagine. You can imagine, killing people who are not even bad or whatever.Diogo Almeida [00:16:21]: And like, I don't think it's the database's responsibility for that. And furthermore, like, a thing that has been weird to me is when people, like, sign up for our thing on Slack and they're like, “Hey, we're gonna deploy this. Can we deploy this thing?” I am just like, “My brother, we are an API. You are a developer. It's none of my business,” right? Like, you shouldn't know what the whole task even isSwyx [00:16:46]: YeahDiogo Almeida [00:16:46]: Because it should be decomposed into small things. We shouldn't be able to know what the downstream users are doing, and that is, like, a good boundary to give software engineers maximum power. Ideally, they use it for the good stuff, and ideally, we can, like, help them and like, we've talked about, like, doing open source and charity and all of that. We have absolutely no time for anything else right now. But like, they will get any of that bias out of the technological layer as long as I'm in charge.Privacy, Benchmarking, and Trusting IntelligenceSwyx [00:17:11]: Yeah, that's great. While we're on the topic, let's also briefly talk about your privacy stuff, terms of ser- terms of use, which, got a little bit ofDiogo Almeida [00:17:18]: OohSwyx [00:17:18]: Misunderstanding. I just wanna clarify that upfront.Diogo Almeida [00:17:21]: Hell yeah.Swyx [00:17:21]: I think this probably takes two sentences from you about, like, you will not. You're not being that restrictive about your API. Like, clearlyDiogo Almeida [00:17:27]: Oh, yeah. Oh, yeah, so yeahSwyx [00:17:27]: Ideologically, you articulate your role as a platform very seriously.Diogo Almeida [00:17:30]: Yes. Yes. I don't know what you're referring to, but like, this was. I've seen a couple of things about, like, benchmarking.Swyx [00:17:38]: Yes.Diogo Almeida [00:17:38]: Like, obviously we're not stopping people from do. Oh, man, I should be careful about what I say. I'm realizingSwyx [00:17:43]: No, you said, you said it publicly thatDiogo Almeida [00:17:44]: YeahSwyx [00:17:44]: That was in the preview period. You didn't take it out for the launch.Diogo Almeida [00:17:47]: Yeah. Okay.Swyx [00:17:47]: And now you're gonna take it out.Diogo Almeida [00:17:48]: So the team is doing stuff thatSwyx [00:17:49]: YesDiogo Almeida [00:17:49]: I'm not even aware of, so it's great to know the team communicated that. I asked them to check in with the lawyers about that.Swyx [00:17:54]: Yeah.Diogo Almeida [00:17:54]: Like, we are obviously not stopping people from doing that type of thing. I'm extremely in favor. So I'm extremely anti-public benchmarks. I'm extremely in fa- I'm medium about private benchmarks that are proxies. ISwyx [00:18:09]: So are you worried about, saturation or, like, training on public benchmarks? So it's, like, easy to cheat.Diogo Almeida [00:18:15]: Not only is it easy to cheat, there's a lot of ins. So I think that we are. Or anyone who's, like, competition with us that, vaguely there is. Like, you could say, likeSwyx [00:18:28]: There's like 50 Jev clones, yeah.Diogo Almeida [00:18:30]: Well, sure.Swyx [00:18:31]: Yeah.Diogo Almeida [00:18:32]: Well, the, these. Let's say that there is competition.Swyx [00:18:34]: And we'll talk about those. Yeah.Diogo Almeida [00:18:34]: Or let's just say that there's. Let's just assume that there's an industry two years from now of people who are doing similar things to us. The thing that we are selling is intelligence per something, per, like, dollar or per second. The. No one. Like, people obsess about the cost and the speed. I believe that is. It's cool, but like, the thing that matters is the intelligence. Like, the cost and the speed are, like, are bad things. You're paying them for something, and you need the thing back, and the intelligence is what truly matters. The problem with intelligence is that there's a je ne sais quoi to it, right? Like, the good model smell. Like, the thing that happened after we launched of, like, two hours later that actually went way bigger than the video, which was like, “Holy s**t.”Swyx [00:19:16]: This is actually usable.Diogo Almeida [00:19:17]: It. WellSwyx [00:19:17]: Yeah.Diogo Almeida [00:19:17]: It's, like, beyond that.Swyx [00:19:20]: Yeah.Diogo Almeida [00:19:20]: Like, the. Whew, the launch was crazy, and people could really sense how hard we care about that, and that's truly what I think the long term of this is. And I think public benchmarks are antithetical to this. Like, they are a way to get people trust in intelligence because intelligence has a je ne sais quoi, but the public benchmarks are extremely gameable. Even if they try not to, they still will. Like, back in the old days, every lab had a team to collect data that looks like MMLU to make it look better, which is just benchmarking with extra steps.Diogo Almeida [00:19:58]: So I believe that in the long run, it needs to be vibes and trust until you put it into a workflow and evaluate it for that workflow and measure it and have your own sense of, like, how it does on the exact workflow that matters. And our job is to keep moving the nines of reliability. This is like an ever-present part of o- of what we need to be doing as a company, and we need to do everything to have people know that this is something we care so much about. Like, if we wanted to, we could have released Jev, like, a year and a half ago if we wanted it to be dumb.The Bitterest Lesson: Tasks, Data, and North StarsSwyx [00:20:34]: Oh.Diogo Almeida [00:20:34]: It. Like, the. My bitterest lesson, right? Like, architecture and Yeah.Swyx [00:20:40]: I'll bring it upDiogo Almeida [00:20:40]: Hell yeahSwyx [00:20:41]: Since you, since you talked about it, here.Diogo Almeida [00:20:43]: Hell yeah. T- like, Sutton says that algorithms beats compute very roughly. Data matters way more than compute, obviously. And doing the right task, having the North Star is the hardest, most important thing. This has happened, in LLM land twice so far, right? Maybe 2.2 times. There's RLHF, which, like, shifted the task to instruction following. No one realized that was possible. RLVR did, like, a tiny little, like, edit to the, to the direction, and now us, right? RLCD. We have a new task, and the goal is, programs in the loop. And yeah, data matters soSwyx [00:21:28]: RightDiogo Almeida [00:21:28]: Unbelievably much.Swyx [00:21:29]: SoDiogo Almeida [00:21:29]: Like, I can't, I can't emphasize it less.Swyx [00:21:31]: Yeah, you consider yourself a data lab rather than, like, a model lab. Is thatDiogo Almeida [00:21:35]: AbsolutelySwyx [00:21:35]: Something. That's the wording you guys use?Diogo Almeida [00:21:37]: Yeah. We are. We will always, like, care so much about data. To me, model capabilities means data. Data is so unbelievably complicated, and that is what gets nines. Like, you have no idea how much data can shift everything. Data is so important.TypeSafe as a Data Lab and Synthetic Data StrategySwyx [00:21:57]: Yeah.Diogo Almeida [00:21:57]: Holy crap. So if people are looking for a job, we are hiring infinite data people, actually infinite.Swyx [00:22:04]: What is a good data person? Like, clearly somebody who cares about reading through the transcripts of, whatever. You've said, for example, that y- all your data is synthetic.Diogo Almeida [00:22:15]: Yep.Swyx [00:22:15]: But that's only, like, the scratching the surface, right?Diogo Almeida [00:22:18]: Yeah.Swyx [00:22:19]: Like, it's not. Like, synthetic, so what, right? Synthetic, but we have people with a lot of taste and a lot of care looking at, looking at these, articulating what's wrong, going back, regenerating. Is that what a good data person is these days?Diogo Almeida [00:22:31]: Let me try to figure out how to. Like, it's, it's super complicated, and like, I literally onboard the data people with a Talk that I assume is longer than this podcast will end up being. So I will try to say, like, the high level of it. So number one, we don't do the kind of synthetic data that people ki. Well, I'll do. Actually, number is zero. Data and synthetic data depends on your task. Like, the shape of your data. The shape of your task changes the data. Like, RLVR's data is kind of environments, right?Swyx [00:23:03]: Yes.Diogo Almeida [00:23:04]: RLHF's is the human feedback? Each task has its own unique kind of data, and we, of course, have our own unique kind of data, right? So number one, we have that. Number two, the thing I. The reason why we don't want to train on our users' data, even if we could, right? Like, we could probably ask for any terms right now, and it will. We. I don't know if it would make a difference. We truly don't want that, because no matter what, the real-world data has so much bias. There's, like, a power law of, like, people, like, asking the same things where you'll end up, like, overfitting to it and like, fracturing to it and all of that. And number two, we are, like, aiming for, like, a complete sci-fi future years from now where, like, these models are going to be, like, the general infrastructure, layers and layers and layers and deep down the stack to, like, things people can't even imagine. Like, I would like to think of our model, like, kind of like, UDP as LLMs and TCP as our models. All sorts of stuff can be built on top of that, and we need to be able to nail those futuristic use cases such that software developers can actually build that futuristic stuff. And the way to do that is even if we had all of the data of the present, we would just overfit to the present, and then it wouldn't work. What we need is to, like.Diogo Almeida [00:24:21]: It almost feels like a. Like, they're the artists? They study this cognitive core. Our cognitive core is, like, way less jagged than anyone else's. And then they find the jaggednesses, and then they address them surgically in a way that. And you can never perfectly do this, right? But they do it in such a way that it addresses it in every single possible, like, dimension, past, present, future.Swyx [00:24:45]: The general case rather than the specific case.Diogo Almeida [00:24:47]: Exactly. And like, that requires a lot of intelligence every time.RLCD vs. RLHF: Defining a New TaskSwyx [00:24:50]: Okay, so we mentioned a little bit. You sort of criticized my thinking as r-- like, very RLVR influence, which is, like, very fair. Let us actually mention RLCDDiogo Almeida [00:24:59]: OohSwyx [00:24:59]: Which obviously you have some secret sauces to our knowledge. You've never actually published a paper or anything like that on it. No, right?Diogo Almeida [00:25:05]: No, not yet.Swyx [00:25:06]: But like, what should people get from this? Like, what. Can you give people some confidence that you're just not just making up jargon for the sake of sounding cool, right? Like, one thing for me is, like, calibration I do think is a. To me, like, well understood because we've covered it in. On the podcast.Diogo Almeida [00:25:22]: Yeah.Swyx [00:25:22]: But I don't know what you mean when you say RLCD versus what people are familiar with.Diogo Almeida [00:25:26]: It's a great question.Swyx [00:25:27]: Yes.Diogo Almeida [00:25:27]: And actually, I will give a related question.Swyx [00:25:29]: Okay.Diogo Almeida [00:25:29]: What is RLHF?Swyx [00:25:31]: Okay.Diogo Almeida [00:25:31]: Right? And actually, RLHF means multiple different things, right?Swyx [00:25:34]: Okay.Diogo Almeida [00:25:34]: Like, there's the RLHF of the original. I think it was, like, Paul Christiano teaching a robot to backflip or something like that. Wasn't there somethingSwyx [00:25:42]: Was that it?Diogo Almeida [00:25:43]: That was the originalSwyx [00:25:44]: I referenced the PPO paper, but I don't know.Diogo Almeida [00:25:46]: And so PPO was not necessarily from human feedback, if I recall.Swyx [00:25:51]: Okay. That's trueDiogo Almeida [00:25:52]: But I b- I believe it was, like, an OpenAI alignment work that could teach hard to specify outputs, like a backflip. I'm not 100% sure. And then there was actually learning to summarize. This was work, by a bunch of the team that helped with, instruct-- and co-authored, the instruction following paper, which was teaching, doing PPO on language models.Swyx [00:26:15]: This is the, sorry. I'm trying to, tryingDiogo Almeida [00:26:19]: YeahSwyx [00:26:19]: Trying to manipulate this thing. This is 2017.Diogo Almeida [00:26:23]: Yeah.Swyx [00:26:23]: Right.Diogo Almeida [00:26:23]: I'm not 100% sure, but like, that looks quite right.Swyx [00:26:26]: Yeah.Diogo Almeida [00:26:26]: If it has, like, a robot doing backflips or something like that might be it. Yes. Okay, cool. I guess I got it right. Hell yeah.Swyx [00:26:35]: There you go.Diogo Almeida [00:26:36]: Yeah.Swyx [00:26:36]: That's the one.Diogo Almeida [00:26:36]: So the idea was can, like, can you do, like, ill-specified things with it? So that's, like, version one. Version two was, the learning to summarize work, that, like, OpenAI did, which is actually, like, PPO on language models to do something somewhat ill-specified. This is, like, another thing that people refer to as RLHF Which I did not co-author.Diogo Almeida [00:26:57]: Oh, Dario's there. Cool. Hell yeah.Swyx [00:27:01]: And Radford.Diogo Almeida [00:27:02]: Yeah. Shout-outs to Alec and Ryan. Love them.Swyx [00:27:04]: Yeah.Diogo Almeida [00:27:05]: But the thing that I refer to RLHF is the, Oh, man.Diogo Almeida [00:27:13]: I'll get toSwyx [00:27:14]: You have comments on that, yeah.Diogo Almeida [00:27:15]: I have comments on that paper, but like, we're so many, tangents deep.Swyx [00:27:18]: Yeah.Diogo Almeida [00:27:18]: So the thing that really got. To me, the thing that I'm calling to RLHF is the task of instruction following. It's not about the PPO. That part doesn't matter. It's about, like, setting a North Star of this is a valuable direction. It's kind of like the Bitris lesson North Star.Diogo Almeida [00:27:34]: And for us, RLCD is this new task. And it is not. I don't see it as jargon. Like, I try to communicate with precision. It's just that, “Hey, here's another North Star.” Just like DPO and all of its, like, descendants also do RLHF, despite not using the algorithm in that paper.Swyx [00:27:55]: And so clear- clearly stating the North Star is, being program- programmable AI is one, word that I really catch onto, removing the human in the loop,Diogo Almeida [00:28:06]: YesSwyx [00:28:06]: From. Because RLHF is tuningDiogo Almeida [00:28:09]: YesSwyx [00:28:09]: For this so that you can automate everything.Diogo Almeida [00:28:11]: Yes. Everything that makesSwyx [00:28:13]: Did I miss anything else in the, in the thesis of, like, what the North Star is?Diogo Almeida [00:28:17]: There is. That is. That is right. I'm overly nuanced in my communication. The one nuance is that we need to be practical. We need to be aware of what language models can do really well. Like what AI can do.Diogo Almeida [00:28:30]: Right? Like, there could be programmatic types that are, like, sick AF, but if you. If the technology is not ready for it to. It's not a tragedy if that's not out in the world.Why Programmable AI MattersSwyx [00:28:41]: Yeah.Diogo Almeida [00:28:42]: But to me, like, the pre-Jev world was a tragedy becau-- it sounds arrogant. Hear me out.Swyx [00:28:49]: No. I strongly believe you.Diogo Almeida [00:28:50]: Cool. It sounds arrogant, but like, I felt this way since long before I even had a company.Swyx [00:28:54]: Yeah. I can, I can vouch that,Diogo Almeida [00:28:56]: Yes, I've been talking about this for so longSwyx [00:28:57]: You said this at All Around Her for, like, three years.Diogo Almeida [00:28:58]: Yeah, I've been talking about this for so long. And I've been saying it because I thought it would have been easier. They say they do not do things because they. It. They're easy. They. It's ‘cause they thought it was easy, soSwyx [00:29:08]: Yeah, exactlyDiogo Almeida [00:29:09]: Something like that. I thought it. This whole project would take a week.Diogo Almeida [00:29:13]: And I was unbelievably wrong. So I am so sorry to everyone at OpenAI that I thought. I was like, “Man, I'm solving this right now.” but like, I think that the tragic thing is when. Well, I think overpromise, underdeliver is tragic too. And like, AI is super extreme on that axis. And I think RLVR is, like, the main. Well, both RLVR and RLHF are extreme perpetrators of this.Diogo Almeida [00:29:40]: But like, it. To me, it's like it's just there's just so much potential there. Like, AI is clearly so smart. I l- smart. I love this in my talks, when I ask people, like, “How can AI be so unbelievably smart? How can we, like, solve millennium prize problems in math, but still not automate even the most basics of works?” Like, really basic rote stuff that, like, the. It d- it doesn't take, like, extremely smart people to do this. It's not a satisfying job. Like, there's other things these people could be doing, but yet we need them to do, like, this ba- like, super basic- non- unsatisfying stuff because, like, we can't automate it yet, but we have this, like, supercharged engine of automation that just does not have, like, the right plugs and stuff to plug into all of this economically valuable work. And like, if the whole company of TypeSafe disappears, like, maybe it'll take, like, a year or two for people to, like, truly catch up. I actually don't know how long it'll take. If model quality matters, then we are gonna be in a very good position for a long time. But it, like, it's done, right? Like, there, like, this has changed the path of, like, technological history.Swyx [00:30:49]: Yeah.Diogo Almeida [00:30:49]: And like, we will be exploring that space as a field.Swyx [00:30:53]: Yeah. I think, I definitely agree with that. You've created possibilities. So I think, if I can paraphrase so that people can un- also understand, you should not take the success of TypeSafe and Jev as just like, “Well, that is a new model type. Now we're done. We go back to business.” Like, no. Like, actually, there's, there are, like, five other model types that you should be exploring and like, let a thousand flowers bloom.Diogo Almeida [00:31:15]: Absolutely.Swyx [00:31:16]: Right?Diogo Almeida [00:31:16]: Like, early internetSwyx [00:31:17]: And some of that, some of which you will probably also build.Diogo Almeida [00:31:18]: Of course, yes.Swyx [00:31:19]: Yes.Diogo Almeida [00:31:19]: Early internet energy. I think it's back to tech utopia. It's no longer like, “Oh, man, like, sometimes my coding agents work, but the, all of the best ones are hoarded internally.”Swyx [00:31:29]: Yeah.Diogo Almeida [00:31:30]: Right? It's like creation is back on the menu.Diogo Almeida [00:31:34]: ? Though it's gonna be a wild-ass world, and buckle up.Diogo Almeida [00:31:38]: It's. And I'm so jazzed about that.Manifesto, Launch Strategy, and Early Internet EnergySwyx [00:31:42]: Yeah. And now you have the funding and the momentum to do whatever you envision there, which I, which I think is, like, very gratifying to see you have after, so long of saying these thingsDiogo Almeida [00:31:53]: YeahSwyx [00:31:54]: But actually show the world.Diogo Almeida [00:31:55]: I know. I just. Such a, such an interesting thing to be a tease the whole time. Like, my talk, like, felt like it was a cliffhanger ‘cause I didn't say how the automation would occur.Swyx [00:32:05]: Yeah.Diogo Almeida [00:32:06]: Sean reviewed our manifesto And he's like, “It's a little bit vague in these parts.”Diogo Almeida [00:32:12]: And like, “What's step one? What is, what is the intelligence model?”Swyx [00:32:16]: Well, I asked you for model, and you were like, “Yeah, model coming.”Diogo Almeida [00:32:18]: Yeah.Swyx [00:32:18]: And like, Well, I just, I mainly objected to the word composable But build prod.god is fantastic.Diogo Almeida [00:32:24]: Thank you.Swyx [00:32:24]: Yeah.Diogo Almeida [00:32:25]: I. We've really rallied around that. I'd like to think we're not entirely a cult like some companies are.Diogo Almeida [00:32:32]: But like, we are, like, jazzed about what we're doing, and like, we are. Like, my brand is being practical, and like, we are all, like, so super-duper practical.Swyx [00:32:42]: Yeah.Diogo Almeida [00:32:42]: It's really great.Swyx [00:32:43]: Yeah. So here. And by the way, here is the step, the secret master plan, right?Diogo Almeida [00:32:47]: Yep.Swyx [00:32:47]: Shape, the shape of machine-native composable AI.Diogo Almeida [00:32:49]: It was your idea to make a secret master plan, soSwyx [00:32:51]: It's a, it's that Elon thing. When he started TeslaDiogo Almeida [00:32:53]: YeahSwyx [00:32:53]: He was like, “Here's what we'll do.”Diogo Almeida [00:32:54]: But I did. Yeah. I'm giving official credit to you.Swyx [00:32:56]: Oh, thank you. Thank you, thank you.Diogo Almeida [00:32:56]: Yeah.Swyx [00:32:56]: Thank you. But like, you should've told me your, you're also gonna do this model launch, ‘cause you, like, you told me, you told me half of the story, and then the other half, you didn't have the doom demo at the time.Diogo Almeida [00:33:08]: Yep.Swyx [00:33:08]: You didn't have any numbers to give me.Diogo Almeida [00:33:10]: Yep.Swyx [00:33:10]: I was like, “what?”Diogo Almeida [00:33:11]: Well, the problem is I don't believe in benchmarking.Swyx [00:33:13]: Exactly.Diogo Almeida [00:33:14]: Right?Swyx [00:33:14]: Exactly.Diogo Almeida [00:33:14]: So like, it is a thing that you need to feel, and like, I think that this is the way to build long-term trust, even though it, like, hurt, it hurt us a, us a lot? Like last year when we did fundraise, no one believed us.Diogo Almeida [00:33:27]: ? Like, and they wanted just benchmarks and stuff, and we're like, “We're not gonna do that. We are principled. We're gonna stand by our guns. That rewards bad actors. I don't give a s**t, like, what you want. Like, this is who we are, and we are standing by that.” So Sorry. It's notSwyx [00:33:43]: No, yeah. Well, and in some ways, I think, like, choosing the hard path, it. But you end up making the company that you wanna work in.Diogo Almeida [00:33:49]: Yep.Swyx [00:33:50]: Right? Otherwise, if you sell out, then you're just working in, like, OpenAI but with my people, right? Which is like.Diogo Almeida [00:33:56]: Yeah. Yeah. Like, I'm, I don't have too many regrets on that, obviously.Swyx [00:34:01]: Yeah.Diogo Almeida [00:34:01]: Like, it worked out so unbelievably well. And like, I, The. I was emotional last night when I was talking about, like, the reasons I left OpenAI, and because, like, it actually had to change my wording after the launch. My phrasing was, “If an AI winter did happen and I did not do every f*****g possible thing I could to, like, avert that, I would see myself as personally responsible both for, the RLHF direction, which I think really widened overpromise versus under-deliver, and also not going all in on this because I think this is, this is where value is going to just be, like, printed.” So. And it was really cool because I feel likeDiogo Almeida [00:34:47]: The AI winter I'm worrying about is averted. Like, AI will be useful. It'll be used for automation.Diogo Almeida [00:34:53]: It's been less than a week, and like, the numbers are already undeniableSwyx [00:34:57]: YeahDiogo Almeida [00:34:57]: That it's, like, being used for real work, and like, there's. It's, it's the Wild West. Yeah.Launch Traction, Tokens, Rate Limits, and Developer UsageSwyx [00:35:03]: Yeah. Can you sh- just if you have top of your head, what numbers are you seeing? Like, what's, what's, like, signups? Like, whatever you can share.Diogo Almeida [00:35:11]: I'm actually not super on top of everything. Like, the team is the ones who are telling me all of these things.Swyx [00:35:16]: Yeah, and I'm sure it's, like, changing every day, right?Diogo Almeida [00:35:17]: It's, it's,Swyx [00:35:18]: But likeDiogo Almeida [00:35:18]: It's kinda nutsSwyx [00:35:19]: If there's a milestone that you're like, “Well, yep, that's one thing we were hoping for. We reached it.”Diogo Almeida [00:35:23]: I will say a milestone that we've passed is tokens per day.Swyx [00:35:27]: Nice.Diogo Almeida [00:35:27]: And this is not, like, fleeting tokens per day.Swyx [00:35:32]: Yeah.Diogo Almeida [00:35:32]: This is, like, even at night, like, it's constantly training, so machines are calling it and not just people trying things out.Diogo Almeida [00:35:39]: So that is, That is so cool. A trillion tokens a day is a lot.Swyx [00:35:45]: Yeah.Diogo Almeida [00:35:45]: So surpassing that is awesome. Signups to me don't really matter. And actually, this was, like, a bit of a mistake we made, if I'm, like, totally honest. People on Twitter were calling us, like, marketing geniuses and all of that, and that was just us. We don't have a marketer. Also hiring. And we were just being our genuine, goofy, like, irreverent selves, and we were, we were just, like, offboarding people off the waitlist so hard. - Our platform team is so unbelievably cracked. I think we have more n- up nines of uptime than Anthropic while having the most Unprecedented launch ever. Like, that is kind of nuts, soSwyx [00:36:21]: YeahDiogo Almeida [00:36:21]: Like, props to them.Swyx [00:36:22]: Yeah.Diogo Almeida [00:36:23]: And the thing we didn't realize. So number one, waitlists, waitlist sign-ups don't matter for, like, a developer platform, in my opinion? I would guess that a large number of them are not even developers. So they go in, they try some queries, and a lot of people don't get it because they are not programming, right? Like, they're just like, “What? This is not a chatbot. Where's my ChatGPT 2?”Diogo Almeida [00:36:45]: Right? But if, like. I haven't exactly calculated this. My sense is that if every single human being in the world, like, just wrote a couple of queries, that would be a rounding error compared to, like, one power user's for loop that is just, like, creating value.Swyx [00:37:01]: Yeah.Diogo Almeida [00:37:01]: And the thing we are-- didn't realize with the waitlist is, like, we could just w- off-board anyone off the waitlist. It doesn't matter. The scary part is rate limits. And then once people start getting value from that, then they just want tons and tons of rate limits because this is what software is, right? Like, you spend effort upfront to specify your rote task, and then this rote task creates more value than it takes to put in. And then now that you have thatSwyx [00:37:25]: Set it and forget, yeah.Diogo Almeida [00:37:26]: Exactly, yeah. You run it in the background. You make it a dependency, to, like, other things. You can make, like, higher level stuff. And like, you just create so much value in the world. Early internet people probably did not imagine, like, the wonder of early 2000s internet, which is still not early internet. But like, it's, it's through, no offense, composabilitySwyx [00:37:47]: NoDiogo Almeida [00:37:47]: That all of the crazy stuff happens, and I just really wanted to emphasize that in our manifesto. We are going for emergence. We are going for, like, being the catalyst. We're wanting to empower people, and we are going to do whatever we can for that, be it, like, Discords in our town hall with me wearing a garbage bag or not.Swyx [00:38:05]: And podcasts and Diogo Almeida [00:38:08]: Hell yeahSwyx [00:38:09]: Getting all that.Diogo Almeida [00:38:09]: Absolutely.Swyx [00:38:09]: Like, ‘cause I want the long form, right?Diogo Almeida [00:38:11]: Yeah.Swyx [00:38:12]: It is like, yes, we'll get past the, some of the superficial things, and then we'll go deep andDiogo Almeida [00:38:15]: Hell yeahSwyx [00:38:15]: And people will really trust and understand your mission and like, the people that, will resonate that will end up joining you or, buying you. Or No, but sorry, as a, as a customer.Diogo Almeida [00:38:27]: Oh, as a customer.Swyx [00:38:28]: As a customer, as a customer.Diogo Almeida [00:38:28]: Okay, yeah. That was funny. I'm sorry.Swyx [00:38:30]: Sorry. I didn't, I didn't mean to say that. But no, any-- one version, one very flattering version of this, like, 36 million views of your launch video.Diogo Almeida [00:38:37]: Cool. Up to 38 now.Swyx [00:38:39]: Yeah, rounding error.Diogo Almeida [00:38:40]: Yeah.Swyx [00:38:40]: Navio still has got 74. Fable 5 got 57. So like, as far as, a- and I didn't, I didn't do the stats for, like, original ChatGPT, likeDiogo Almeida [00:38:48]: YepSwyx [00:38:49]: Which there was no video.Diogo Almeida [00:38:50]: Yep.Swyx [00:38:50]: So like, up there, right?Diogo Almeida [00:38:52]: Yep.Swyx [00:38:52]: Like, as far, as far as, like, if you were to launch a Neolab in 2026, I think you're, like, number one right now, which is, like, pretty crazy.Diogo Almeida [00:38:58]: Yeah. Well, I actually would rather. I do have the shirt, like, your favorites Neola-- favorite Neolab's favorite Neolab.Swyx [00:39:05]: Huh.Diogo Almeida [00:39:05]: I don't give a s**t about being a Neolab. I think being a Neolab. Actually, we have a lot of, like, swag that's being a parody of a Neolab. One of them, one of them I have is, like, Neolab with product, which actually is not a Neolab. Like, I don't care about that, really.Swyx [00:39:20]: Yeah.Diogo Almeida [00:39:20]: What I care about is being a reliable dev platform. So Swyx [00:39:23]: YesDiogo Almeida [00:39:24]: Appreciate the comparison, but likeSwyx [00:39:25]: YeahDiogo Almeida [00:39:25]: Hopefully we transcend past them and we go back into, like, a thing-- like, a revolutionary moment for developers and like, this stable thing that people can rely on and trust.Reliability, Robustness, and DeterminismSwyx [00:39:35]: Yes. To that end, I think that's one thing that really impressed me about you guys is that, yes, you do talk about reliability. I thought it was mostly about calibration, which, like, we talk about RLCD. But actually it's also about just, like, uptime and scalability and all those things, right? They're, they're all sort of the kind.Diogo Almeida [00:39:55]: And nines.Swyx [00:39:56]: And nines.Diogo Almeida [00:39:56]: It's, likeSwyx [00:39:57]: Which uptime is, in my opinion.Diogo Almeida [00:39:58]: Oh, but that's part of it. But like, there's reliability in, like, how intelligent the thing is. Like, how consistently does it do the thing that you want? And I think that, like, the big reasoning models are very smart. In my opinion, they still lack reliability. I think there's many use cases where you-- they look like they should be smart enough to automate their work. There is economic incentive to automate that work, yet still they're not reliable enough as, at an intern because they're optimized for different things. And so like, I think that there's the reliability of being able to, like, trust the outputs. And also we are. Like, there are dimensions of reliability that we are not yet at that I'm, like, so excited by.Swyx [00:40:38]: Yeah.Diogo Almeida [00:40:38]: Like, I want to automate the easy work before the hard work? Like, I think that's just a common sense thing to do. But to me, we will be sufficient. I don't know if there's such thing as sufficiently reliable, but I wanna get so good that people don't even need to try the model to know that it'll work. It's like, that's like what flow state is in programming, right? Like, I'm just, like, writing queries because I need intelligence in here. And like, when. For non-trivial branching, I can just write it in like a, like a type-safe System 1 query and then get the results out of it and it just branches accurately. Like, that would be so good. Like, that's the. That is the dream.Swyx [00:41:12]: Yeah.Diogo Almeida [00:41:12]: And that is, like, going to be, like, a long slog.Swyx [00:41:16]: Yeah. We're gonna go into your API design in a little bitDiogo Almeida [00:41:19]: OohSwyx [00:41:19]: Just to give people examples and like, maybe paths not taken, that kind of stuff.Swyx [00:41:23]: One thing up the front that I do wonder about in terms of reliability is I noticed that there's no seed. There's no, And so basically, same input, do I always get the same output?Diogo Almeida [00:41:34]: SoSwyx [00:41:36]: And if not, why not?Diogo Almeida [00:41:37]: Oh, great question. So this is actually, like, a common question we have between. So reliability is actually a catchall. Like, whenever AI can't automate something, it's due to some form of reliability. Could be, like, type safety. It could be determinism. It just could be, like, it's, it's jagged, right? So reliability is a catchall. I just think that it's also a catchall for, like, what the North Star is. Re- determinism is, like, same inputs, same outputs. I do believe that this is, like, slightly interesting for unit tests, but I believe that to be the wrong North Star. I believe robustness is what peopleDiogo Almeida [00:42:16]: I don't wanna tell people what they really want, ‘cause that would be a little arrogant of me.Diogo Almeida [00:42:19]: I believe that is, like, the more important property. You want, given similar inputs, get similar outputs. And it's kind of wild how unreliable LLMs are.Diogo Almeida [00:42:31]: Like, a way that we test this is you put, like, UUIDs in, like littleSwyx [00:42:36]: YeahDiogo Almeida [00:42:36]: I think they're called nonces In the prompt. And what you want is similar outputs from all of those, ‘cause it's truly semantically the same question, and that is the part where you really want. Th- like, that robustness is where, like, people get, like, burnt with AI making decisions. So I think that is the. A super-duper important property. We could also have determinism. That is, that is a thing that can be available. As far as I can, like, mentally model for programmers, like, it, I- it could be valuable for some use cases, so like, please educate me, in comments or view. But my. In general, it's easy. Determinism is something you can, like, trade off for better cost. Like, we are, we are constantly wanting to be on the intelligence per dollar frontier. We are doing, like, absolutely disgusting things to be there. Like, this is,Diogo Almeida [00:43:32]: I shouldn't say this, but no one's here to stop me.Swyx [00:43:37]: If you s- you sign off on your own PR.Diogo Almeida [00:43:40]: That is not how it works at this company. I believe for this week, my chief of staff, Kay, is the most powerful person in tech.Swyx [00:43:49]: Yeah. And shout-out to Kay for organizing this.Diogo Almeida [00:43:50]: Holy shSwyx [00:43:51]: Yeah.Diogo Almeida [00:43:51]: Holy s**t. She is so f*****g competent and powerful. She's incredible.Diogo Almeida [00:43:58]: She sucks. Don't poach her. But so I try to be a bit more filtered, but like, people are telling me, “Don't call it a Frankenstein's monster of models,” but because that has, like, negative implications. I think Frankenstein's monster was, like, the good guy in this whole. It was innocent, right? I didn't read it. Okay.Diogo Almeida [00:44:18]: I'll, I'll confess. Okay. That. Well, one facial expression, ISwyx [00:44:21]: This is aDiogo Almeida [00:44:21]: My cards on the tableSwyx [00:44:21]: Decent Jacob Elordi movie if you wanna seeDiogo Almeida [00:44:24]: ISwyx [00:44:25]: The adaptation. Anyway.Diogo Almeida [00:44:26]: The. You have no idea how little time I have right now.Swyx [00:44:28]: Yeah.Diogo Almeida [00:44:29]: My priorities are sleep?Swyx [00:44:31]: Developers.Diogo Almeida [00:44:32]: Developers, yes. Developers. But yes. It. We do, like, absolutely disgusting things to be on the Pareto curve of intelligence per dollar, and we are going to keep doing that.Swyx [00:44:47]: Yeah.Diogo Almeida [00:44:47]: We're gonna be doing crazy-ass stuff, and I think people really need to think outside of the box. Like, part of the reason we're surprising is, like, people Are thought inside the box, and we continue to do that. As of right now, we are obviously the best at this, and we want to continue being the best at that whole thing.Swyx [00:45:05]: Yeah.Diogo Almeida [00:45:05]: So Wait, where did, where did we tangent from?Swyx [00:45:07]: No. SoDiogo Almeida [00:45:08]: YeahSwyx [00:45:08]: I asked you about, will you have seeds and determinism?Diogo Almeida [00:45:11]: Oh, yes. SoSwyx [00:45:11]: And then you basically defined reliability and likeDiogo Almeida [00:45:14]: And robustnessSwyx [00:45:15]: How you see it. Yes.Diogo Almeida [00:45:16]: But like, determina- likeSwyx [00:45:17]: I have a robustness example that's, that's, real quick I can show you.Diogo Almeida [00:45:19]: I would love that. I will just say one thing.Swyx [00:45:21]: Yeah.Diogo Almeida [00:45:21]: We can make a deterministic model.Swyx [00:45:22]: Exactly.Diogo Almeida [00:45:23]: Like, we're hap- if people can convince us that is a valuable thing to doSwyx [00:45:27]: YeahDiogo Almeida [00:45:27]: And we don't have a gigantic GPU shortageSwyx [00:45:29]: YeahDiogo Almeida [00:45:29]: We can happily make all of these models. We live to please. And rev- and revolt, revolute,Swyx [00:45:38]: You will throw over everything, except you'll do it in a nice way.Diogo Almeida [00:45:41]: Yeah.Swyx [00:45:41]: And findDiogo Almeida [00:45:42]: So like, determinism could be on the cards.Swyx [00:45:44]: Yeah.Diogo Almeida [00:45:45]: It just gets you less intelligence per dollar.Swyx [00:45:46]: Yeah. Well, just having seen the trajectory of OpenAI and Anthropic, you will. Just trust me now that you will be peer pressured into doing it. So like, just people will want it even if they. If you tell them they don't need it. They'll still want it. So like, yeah, that's the TL;DR of that.Diogo Almeida [00:46:01]: Okay.Swyx [00:46:02]: Yeah.Diogo Almeida [00:46:02]: I will love to. Maybe one day we will see how that happens.Swyx [00:46:07]: Yeah.Diogo Almeida [00:46:07]: I've been told I'm, They say that part of our brand is being unshakeableSwyx [00:46:13]: HuhDiogo Almeida [00:46:13]: And they say that's just the nice way of saying stubborn.Swyx [00:46:15]:

The entirety of DJ & PK for September 21, 2026: HOUR ONE Bronco Mendenhall, Utah State football head coach Morgan Scalley and Kalani Sitake following wins Keyonte George, Will Hardy and Ryan Smith HOUR TWO What is Trending: BYU, Utah, Utah State, CFB, NFL, Utah Jazz, MLB, RSL, and Utah Mammoth LJ Martin erupts for 176 yards, 3 TDs in a big night over Colorado State Utah rolls through the non-conference games. What is there to complain about? HOUR THREE Shehan Jeyarajah, College Football writer for CBS Sports Another routine win for BYU. Is 26-4 in the last 30 games good enough for you? Oops, Not the best start to NFL Locks of the Week HOUR FOUR Bronco Mendenhall, Utah State football head coach Slacker Radio Headlines Feedback of the Day

Hour two of DJ & PK for September 21, 2026: What is Trending: BYU, Utah, Utah State, CFB, NFL, Utah Jazz, MLB, RSL, and Utah Mammoth LJ Martin erupts for 176 yards, 3 TDs in a big night over Colorado State Utah rolls through the non-conference games. What is there to complain about?

Today’s Phone Tap victim has kids that leave their toys all over the front yard. So we’re calling to get under his skin and COMPLAIN just to see how riled up we can get him! See omnystudio.com/listener for privacy information.

Today’s Phone Tap victim has kids that leave their toys all over the front yard. So we’re calling to get under his skin and COMPLAIN just to see how riled up we can get him! See omnystudio.com/listener for privacy information.

Complain

In this week's episode of China Insider, Miles Yu reviews the recent threat intelligence report released by Anthropic, developers of Claude AI, that details use of the platform by several Chinese foreign actors for military and security activities. Next, Miles covers the recent BRICS summit held in New Delhi, and highlights the concerns raised among the participating countries over ongoing Middle East security and unilateral sanctions. Finally, Miles looks into an emerging trend among the Chinese labor force involving new labor rights advocacy tactics exercised by the workforce aimed at Chinese companies foreign endeavors to address unfair labor practices and violations.China Insider is a weekly podcast project from Hudson Institute's China Center, hosted by China Center Director and Senior Fellow, Dr. Miles Yu, who provides weekly news that mainstream American outlets often miss, as well as in-depth commentary and analysis on the China challenge and the free world's future.

FOLKS this episode is a bonus off the patreon. Due to a technical error on my behalf, there was no new ep this week. I failed to plug in my mic cable for our last recording and I am really really mad at myself. Anyway, it's a goodie and join us on patreon! Patreon.com/aitapod! (0:00) - Intro(1:39) - AITA for cancelling dinner after bro invited GF last minute?(10:51) - AITA for being upset my childhood psychiatrist was invited to my wedding?(19:35) - I (26F) found a folder on husband's phone with 1000s of photos(29:20) - A high profile criminal trial has impacted my relationship(46:34) - AITA after renewing my lease after my roomie promised my room to someone else?(55:04) - AITA for calling the cops on the neighbor's dogs?(01:02:41) - My fiance and I have different views on pre-nupsBEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

Most clients do not suddenly decide to leave. The warning signs usually appear long before the cancellation email arrives.In this episode of The Level Up Podcast, Paul Alex breaks down how entrepreneurs can identify client disengagement before it turns into lost recurring revenue. When clients stop responding, skip meetings, ignore reports, or gradually use your service less, silence can be one of the strongest indicators that the relationship is in danger.You'll learn how to recognize the early signs of churn, why proactive communication matters more than reactive customer service, and how tracking client engagement can help your team intervene before an account is lost.In this episode, you'll learn:• The early warning signs that a client may be preparing to leave• Why silence can be more dangerous than complaints• How engagement tracking can improve client retention• Why proactive outreach creates stronger customer relationshipsThe truth is simple: By the time an unhappy client cancels, you are usually already too late.Pay attention to the silence. Track the relationship. Solve the problem before your client feels the need to leave.Your Network is your NETWORTH!Make sure to add me on all SOCIAL MEDIA PLATFORMS:Instagram: https://jo.my/paulalex2024Facebook: https://jo.my/fbpaulalex2024YouTube: https://www.youtube.com/channel/UCGhDAD1JyGGzSQUPD9lc9HQLinkedIn: https://jo.my/inpaulalex2024Looking for a secondary source of income or want to become an entrepreneur? Check out one of my companies below to see if we can help you:www.CashSwipe.comFREE Copy of my book “Blue to Digital Gold - The New American Dream”www.officialPaulAlex.com

Complain

On this week's episode... the return of TOM CAN'T COMPLAIN! Plus special guest, legendary voice actor BILLY WEST - the voice behind Futurama and Ren & Stimpy and author of the new memoir Voice-a-Versa! And a conversation with AI BILL SIMMONS!SUPPORT THE BEST SHOW ON PATREON! WEEKLY BONUS EPISODES & VIDEO EPISODES!https://www.patreon.com/TheBestShowFOLLOW THE BEST SHOW:https://twitter.com/bestshow4lifehttps://instagram.com/bestshow4lifehttps://tiktok.com/@bestshow4lifehttps://www.youtube.com/bestshow4lifeTHE BEST SHOW IS A FOREVER DOG PODCASThttps://thebestshow.nethttps://foreverdogpodcasts.com/podcasts/the-best-showHEARD IT ON THE BEST SHOW PLAYLISThttps://open.spotify.com/playlist/2XIpICdeecaBIC2kBLUpKL?si=07ccc339d9d84267See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Happy LDW to all who celebrate! Enjoy your day off. Much love and thanks for listening!(0:00) - bantz(1:23) - AITA for putting conditions on my daughter's college depending on her major?(22:42) - AITA for telling a girl off bc she used Bumble to hire me as a photographer?(28:18) - What happened on the worst date you've ever been on?(37:22) - I caught my husband doing something weird with another neighborBEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

Complainers. We all work with them What are they complaining about at work? Here's a few things ... To subscribe to The Pete McMurray Show Podcast just click here

Send us Fan MailDoes venting your frustrations make you feel better?Turns out, not so much. No.So what we can we do instead?Support the showJoin the Patreon community https://www.patreon.com/richardnichollsSocial Media LinksBluesky https://bsky.app/profile/richardnicholls.netThreads https://www.threads.net/@richardnichollsrealInstagram https://www.instagram.com/richardnichollsrealFacebook https://www.facebook.com/RichardNichollsAuthorYoutube https://www.youtube.com/richardnichollsTikTok https://www.tiktok.com/@richardnichollsauthorX https://x.com/richardnicholls

10% off online therapy at betterhelp.com/aitapodFOLKS hope you enjoy this fun little ep with Radu and Karla! Have a great week :)(0:00) - Banterz(4:05) - AlO she brought her friend to our dinner date; | left?(13:36) - AIO for not wanting wife's friend who's having an affair to crash at our place?(21:54) - AITA for locking my grandfather's phone?(27:57) - AITA for asking wife to pay for her own stuff?(33:15) - AITA for skipping family lunch after he recorded 40 of our arguments?BEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

This week on STICK TO WRESTLING we talk the UWF, formerly known as Mid-South Wrestling, during the months of July and August 1986. We talk Bill Watts, Michael Hayes, Missy Hyatt, Ted Dibiase, Hacksaw Jim Duggan, Terry Gordy, Jim Ross, Eddie Gilbert, “Dr. Death” Steve Williams, Dark Journey, Sting, One Man Gang, Terry Taylor, Buddy … Continue reading Episode 428: Who Do You Complain To? → The post Episode 428: Who Do You Complain To? appeared first on Stick To Wrestling with John McAdam.

No more complaints opposite Hutch?

Listeners respond to Relebogile Mabotja's open line question about societal problems we complain about. 702 Afternoons with Relebogile Mabotja is broadcast live on Johannesburg based talk radio station 702 every weekday afternoon. Relebogile brings a lighter touch to some of the issues of the day as well as a mix of lifestyle topics and a peak into the worlds of entertainment and leisure. Thank you for listening to a 702 Afternoons with Relebogile Mabotja podcast. Listen live on Primedia+ weekdays from 13:00 to 15:00 (SA Time) to Afternoons with Relebogile Mabotja broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/2qKsEfu or find all the catch-up podcasts here https://buff.ly/DTykncj Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.

The crew kicks things off with the 100-inning softball game supporting the Burton family, where Rafe and Scott discover that 12 straight hours of softball is apparently something human beings willingly participate in. There were legitimate athletes, Chris Kerber brought the stories and good Blues energy, and Team Rizz did what Team Rizz does best: proudly represent athletic mediocrity while somebody else actually knows how to play the sport.Moon, meanwhile, spent his weekend in Los Angeles with Goldfinger for their biggest headlining show ever at the Hollywood Palladium. Between the packed hometown show, backstage chaos and trying to juggle approximately every person he has ever met in Southern California, Moon also wanders into Amoeba Music and suddenly finds himself standing next to Matt Berry. His carefully prepared celebrity interaction consists basically of realizing, “Holy crap, that's Matt Berry,” which honestly is probably better than anything the rest of us would've managed.Delays pile up, passengers get increasingly irritated, everyone lines up to board…and the entire plane waits for one missing flight attendant. When she finally arrives, Moon witnesses a level of leisurely strolling that probably should've been studied by scientists. Hundreds of angry passengers? Connecting flights on the line? Whatever. She had a walking speed and she was committed to it.Rizz heads the opposite direction for a father-son road trip to the University of Arkansas and finally experiences the roadside cathedral known as Buc-ee's. Unfortunately, he discovers that Buc-ee's contains one fatal flaw: other people. Lots and lots of other people. He battles the crowd, buys a Cuban sandwich that immediately disintegrates inside the car and ultimately reaches the devastating conclusion that Buc-ee's is basically a bigger Wally's. Somewhere, a beaver just felt a disturbance in the Force.So yes, this episode has softball, Chesterfield sociology, Goldfinger, Matt Berry, airport rage, Buc-ee's, college nostalgia and weather-induced emotional manipulation.The Grand Theft Auto 6 rumor mill is firing on all cylinders. Alleged leaks suggest GTA 6 could make players actually refuel their cars, because apparently escaping the cops and committing fictional felonies wasn't immersive enough. Now we may get the authentic experience of realizing the tank is on E at the absolute worst possible moment.Naturally, Jean-Claude Van Damme doing the splits leads Lern to ask questions about male anatomy that nobody was emotionally prepared to answer. Suddenly we're discussing whether men have a “seam,” whether God is responsible for said seam, and why absolutely none of this information was included in health class.From there, Crap on Celebrities turns surprisingly philosophical when Dr. Dre and Billy Corgan land on opposite sides of the AI music debate. This comedy podcast also gets into Bret Michaels recovering from kidney stone surgery while apparently refusing to surrender his hat under any circumstances, Kacey Musgraves performing while floating on giant disco-ball truck nuts, Dolly Parton exploring avatar performances, Bonnaroo taking a year off, and St. Louis artist Slater covering Hole's “Violet.”National Treasure 3 inches closer to becoming a real movie, and Hollywood is ready to cast King Scott in a major role.A guy scales the St. Louis Zoo big-cat enclosure, an alleged staged fender bender turns into an armed robbery and multiple police chases, and then we attempt to save everybody's relationships with the 777 Rule. Welcome to another comedy podcast where apparently the only thing separating civilization from complete chaos is a zoo fence and a shared Google Calendar. We get into a Florissant case where suspects allegedly rear-ended a Volvo to force the driver to stop, only for the situation to turn into an armed robbery, a fight, a stolen vehicle and multiple police pursuits. Somewhere along the way, the unnamed Volvo driver becomes “Johnny Volvo,” the suspects become the “Jeep Boys,” and this comedy podcast briefly transforms into the least legally sound self-defense seminar ever broadcast.That kicks off a surprisingly thoughtful debate about whether the 777 Rule is realistic, especially when listeners point out that dates, overnight stays and vacations cost money. The crew argues that the exact numbers and activities aren't really the point. Take a walk. Go for a drive. Pack a picnic. Hit a park. Complain together. Whatever works.Follow The Rizzuto Show → linktr.ee/rizzshow for more from your favorite daily comedy show.Connect with The Rizzuto Show Comedy Podcast online → 1057thepoint.com/RizzShow.Hear The Rizz Show daily on the radio at 105.7 The Point | Hubbard Radio in St. Louis, MO.Man climbs into Saint Louis Zoo big cat area, taken into custodyFlorissant man charged in attempted fender bender robberyWhat Is the 7-7-7 Relationship Rule? Experts Explain Why Couples Swear By ItSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

A guy scales the St. Louis Zoo big-cat enclosure, an alleged staged fender bender turns into an armed robbery and multiple police chases, and then we attempt to save everybody's relationships with the 777 Rule. Welcome to another comedy podcast where apparently the only thing separating civilization from complete chaos is a zoo fence and a shared Google Calendar.We start locally at the St. Louis Zoo, where a man decided the normal pedestrian experience simply wasn't immersive enough. Visitors spotted him climbing over a barrier and sitting on elevated artificial rockwork above the big-cat habitat. He never came into direct contact with the animals, nobody was hurt, and he eventually climbed back onto the pedestrian path before being detained. Naturally, the crew's biggest takeaway is that the whole thing had enormous “I bet you won't” energy. Also: please don't be the person who makes the zoo build a gigantic fence because you couldn't resist becoming part of the exhibit.Then things get significantly less goofy with a warning about staged fender-bender robberies. We get into a Florissant case where suspects allegedly rear-ended a Volvo to force the driver to stop, only for the situation to turn into an armed robbery, a fight, a stolen vehicle and multiple police pursuits. Somewhere along the way, the unnamed Volvo driver becomes “Johnny Volvo,” the suspects become the “Jeep Boys,” and this comedy podcast briefly transforms into the least legally sound self-defense seminar ever broadcast.The conversation eventually lands on a much less felonious subject: the 777 Rule for relationships.The idea is simple: every seven days, prioritize a date. Every seven weeks, spend a night away together. Every seven months, take a longer getaway. The point isn't necessarily expensive dinners, luxury hotels or constantly disappearing to a tropical island like you've committed financial crimes. It's intentionally making time for the person you're with before work, kids, chores, schedules and general life nonsense turn you into two ships passing in the hallway.That kicks off a surprisingly thoughtful debate about whether the 777 Rule is realistic, especially when listeners point out that dates, overnight stays and vacations cost money. The crew argues that the exact numbers and activities aren't really the point. Take a walk. Go for a drive. Pack a picnic. Hit a park. Complain together. Whatever works. The goal is to actually prioritize each other instead of realizing six months later that your most meaningful conversation recently was about who forgot to move the laundry.Moon shares how getting away with his wife to review the previous year, plan family goals and figure out priorities has become genuinely valuable. Rizz talks about those brutally busy stretches where work, kids and household responsibilities can leave couples feeling like they barely see each other. Lern points out that sometimes “the funk” simply happens when you stop spending time together. And Rafe reminds everybody that relationships are something you actively build, which is dangerously reasonable territory for this show.We also establish that the 777 Rule can become the 888 Rule, 555 Rule or whatever schedule actually fits your life. The number seven isn't magical. The commitment is the important part.And yes, somehow this eventually leads to Naked Tuesday, hotel-room romance, cheap date ideas and the suggestion that Illinois residents apparently settle relationship problems with sunsets near a levee. We cannot stress enough that this is technically a comedy podcast.So enjoy Episode 6: zoo escapades, robbery shenanigans, relationship advice and another morning where the conversation travels approximately 900 miles without ever leaving the studio.Follow The Rizzuto Show → linktr.ee/rizzshow for more from your favorite daily comedy show.Connect with The Rizzuto Show Comedy Podcast online → 1057thepoint.com/RizzShow.Hear The Rizz Show daily on the radio at 105.7 The Point | Hubbard Radio in St. Louis, MO.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The sponsor today is betterhelp.com/aitapod - 10% off online therapyTHANKS FOR LISTENING(0:00) - Intro(01:15) - AITA for telling my niece she's not good at volleyball?(9:58) - AITA for making a joke at a bachelorette group?(19:49) - AITA for insulting my friend's boyfriend's appearance?(39:10) - WIBTA if i tell mom her fave song is about a blow-up doll?(47:47) - AITA for using my own deck even though it bothers my neighbor?BEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

How do you handle people who only seem to be happy when they complain? Do you jump into the fray and join the party, or try to deflect the complainer from the topic?Do chronic complainers even want someone to solve their problem, or is it hardwired into their person as a coping mechanism that through years of complaining now gives them a sense of worth? Tim and Amy discuss this topic as well as the latest beer-opening challenge (spoiler, Amy nails it!)Shout out to Louisiana Grills and their support line! With their help I got up and smoking again on my vertical pellet smoker. (Thus leading to a brief discussion of chicken wings!!!) What do you prefer, dry rubbed or sauced? Thank you for supporting our podcast. Please follow us on Spotify. If you have any topic suggestions please email us at ThatsNotWhatMomSaid@gmail.com.Until next time...

The Competition and Consumer Protection Commission (CCPC) has revealed the most complained about companies for the first half of the year. Garden centre and outdoor furniture retailer Rathwood was the most complained about business during this period, followed by Ryanair and Sky.But, what are your rights when it comes to complaining as a consumer, and are people less likely to complain now due to long waits on the phone or being met with AI chatbots on a company's website?Joining Ciara to discuss this is Conor Pope, Consumer Affairs Journalist with The Irish Times.

Today we talked about Christian's and complaining. How much we complain shows where we truly stand in our hope in Christ. We used the story of Daniel as an example, but bounced around to numerous texts that talk about our hope in Christ and how hope fuels our faith. Immediate circumstances never should sway us from the ultimate hope in Christ. Open up your Bibles and follow along.

Presented by Lauren Stibgen We are looking at seven things that are an abomination to God, and now we will focus on our mouth. More specifically: a lying tongue, a false witness that breathes out lies, and one who sows discord among brothers. Three of the seven things on the list God hates have to do with how we choose to use our mouth. And all three of these things that God hates us to do with our mouth can show up at work. Clearly if we use our words to lie, we lack integrity. What about a lying tongue? Truthful lips endure forever, but a lying tongue is for a moment (Proverbs 12:19). God wants you to be honest in all ways. This includes those little lies you may call “white lies”. Did you say you sent an email when you didn't? Were you late for work, but said that you were on time? God still grieves this. The Word tell us a lying tongue is for a moment, and truthful lips endure forever. Eventually truth comes to light. In the context of work, depending on what you have lied about, it could have implications on how long your employment “endures”. One of the ways we can lie is by being a false witness. If you don't know, don't comment! And don't assume! Providing untrue information about someone or something at work can have implications far beyond your passing comment. This includes speculating about someone's motives in a situation. If you don't have direct and honest information, it is best to say nothing at all. In Proverbs 12:17 the Word tells us: An honest witness tells the truth, but a false witness tells lies. It is easy to think we know things when we really don't at all. Sometimes at work, you will be called upon as a witness. It is important to only state facts and not assumptions about what you are asked, and not to comment if you truly don't know anything. Sowing discord. The words of the reckless pierce like swords, but the tongue of the wise brings healing (Proverbs 12:18). Think about what happens when you quickly comment about something at work. Being rash means proceeding without a lack of careful consideration of the possible consequences and in this case, of the words being used. Do you blurt things out? Comment in meetings at an inappropriate time? Complain about company policies or other colleagues? Do your inside feelings of dissatisfaction come out? All of this can sow discord and God hates this. How can you bring healing instead? Sometimes, saying nothing is the best thing you can choose.

The sponsor today: betterhelp.com/aitapod for 10% offFOLKS enjoy the ep. Thanks for listening. (0:00) - Banter(1:20) - AITA for being upset wife forgot to tell me the wedding dress code?(9:25) - AITA for refusing to be micromanaged when cooking and cleaning?(19:40) - AITA for using the word 'Canadianism' with a coworker?(29:25) - AITA for making wife do all the cleaning when we have guests?BEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

A new ride at Universal is opening and neighbors are not happy!See omnystudio.com/listener for privacy information.

The sponsor today: betterhelp.com/aitapod for 10% off online therapy THANKS FOR LISTENING(0:00) - Banter(0:33) - AITA for not walking the dog bc GF had a migraine?(8:35) - AITA if I told the woman at the gym that she moans when she runs?(20:56) - AITA for walking out during my friend's comedy set?(37:33) - AITA for firing someone for being smelly?BEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

First, get your free download here to accompany you with the latter half of this episode / explore on your own!And next, it's Leo seasonnn!  In this solocast, it's a little variety show of potent 8/8 Lion's Gate inspo, part personal updates, & then part guided practice + tool {and little pep talk} to face your current life so you can shift it into it's next iteration you're feeling but possibly a little stuck on ... it's time!Including : 

BetterHelp.com/aitapod for 10% online therapy!FOLKS enjoy the ep and have a great week! Thanks for listenin' (0:00) - Banter(8:47) - AITA for sharing the truth about a friend's solo travel page?(26:02) - AITA for not wanting to travel with my friend?(45:13) - AITA for not cancelling a vacay after my friends changed their mind?(51:39) - AITA for going on a fully fund research trip against my parents?BEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

Rep. Cleo Fields, D-La.,  has decided not to seek re-election to the 6th Congressional District. His decision comes after his seat was at the center of a blockbuster U.S. Supreme Court ruling on race and redistricting.Capitol Access Reporter Brooke Thorington joins us with more on Fields' political future. The utility company Magnolia Water is responsible for providing water and sewer service to over 130,000 Louisiana residents in mostly rural areas across the state. But according to customers, the company keeps raising its prices, and the lack of oversight or competition is making water bills unaffordable for many of them.Camden Doherty has been reporting on this for The Current. He discussed thesituation with WRKF's Karen Henderson.If you're a business owner or work in the technology sector, there's no doubt you've been bombarded with advertisements for artificial intelligence, with claims about how AI can make your life easier. But despite those claims, many people remain skeptical of AI or unsure how to use the technology. Southeastern Louisiana University is holding a workshop to help demystify AI for business owners.. Dean of research and innovation Daniel McCarthy joins us for more. Today's episode of Louisiana Considered was hosted by Adam Vos. Our managing producer is Alana Schreiber. We get production support from Garrett Pittman and our assistant producer Aubry Procell.You can listen to Louisiana Considered Monday through Friday at noon and 7 p.m. It's available on Spotify, the NPR App and wherever you get your podcasts. Louisiana Considered wants to hear from you!Please fill out our pitch line to let us know what kinds of story ideas you have for our show. And while you're at it, fill out our listener survey! We want to keep bringing you the kinds of conversations you'd like to listen to.Louisiana Considered is made possible with support from our listeners. Thank you!

Topics:  The Way Of Jesus, Peace, Abraham Lincoln Impersonator, Pre-Suffering, Breaking Animal News, Forgiveness, Shock Jock    BONUS CONTENT: Dilemma Street…Mom Going To Church, Abraham Lincoln Impersonator Folllow-up     Quotes: "I'm not going to be the problem." "We're not equipped to control the future." "I've been free from anger or a long time." "A trap for parents can be trying to control their kids."

Betterhelp.com/aitapod for 10% online therapy FOLKS, join me, Karla and Radu for this heater of an ep. We love. Great mix of sitches hope you enjoy and have a GREAT WEEK xoxoxo(0:00) - banter(1:00) - AITA for telling my singing partner to STFU?(18:22) - AITA for sending auditions for Chinese folks to my Chinese friend?(28:42) - AITA for crocheting at the bar during a world cup game?(38:55) - AITA for saying my cousin can no longer eat my baking?BEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

Comedian, podcaster, and self-described cutie-in-her-own-way Robby Hoffman drops by to discuss her life, her comedy, and why she takes talking as seriously as any other art form. From growing up ultra-Orthodox and ultra-poor to becoming a sought-after stand-up with a Porsche no one wants, Hoffman explains how she's thrived in disaster and learned to mine discomfort for laughs. The two explore America's national personality deficit, what makes a story worth telling, and the joys of conflict when you grow up with nine siblings and no private phone line. Stop online threats before they become real-world attacks. Visit ironwall.com/GIST and request a free Risk Assessment to see exactly how exposed your executives are. Produced by Corey Wara Video and Social Media by Geoff Craig Do you have questions or comments, or just want to say hello? Email us at ⁠⁠⁠⁠thegist@mikepesca.com For full Pesca content and updates, check out our website at https://www.mikepesca.com/⁠ For ad-free content or to become a Pesca Plus subscriber, check out ⁠⁠⁠⁠https://subscribe.mikepesca.com/ For Mike's daily takes on Substack, subscribe to The Gist List https://mikepesca.substack.com/ Follow us on Social Media:⁠⁠⁠⁠ YouTube https://www.youtube.com/channel/UC4_bh0wHgk2YfpKf4rg40_g⁠⁠⁠⁠ Instagram https://www.instagram.com/pescagist/ X https://x.com/pescami TikTok https://www.tiktok.com/@pescagist To advertise on the show, contact ⁠⁠⁠⁠sales@amplitudemediapartners.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ken and Anthony break down how the Guardians managed to stay at .500 despite losing Jose Ramirez and Angel Martinez to injury, including a brutally sloppy loss to the Twins that Ken calls some of the dumbest baseball he's seen in years. They debate whether winning the division a third straight year would even be enough for Guardians fans given the team's playoff track record, while praising rookies like Kahlil Watson for playing hard every night. Ken closes by admitting he's bracing himself for the Browns to name Deshaun Watson their starting quarterback, even though he doesn't want it to happen.

FOLKS hope you enjoy this ep with me and Radu's comedian friend, Zeo. MUCH LOVEFollow Zeo: @zeoniuforreal - https://www.instagram.com/zeoniuforreal/?hl=en(0:00) - Banter(15:14) - Am I wrong for wanting husband to stop texting peeing photos?(28:36) - AM i wrong for snapping at bf for reading google AI?(43:58) - AM I wrong for saying hubby can't hit the beach on Father's day?(56:43) - AM I wrong for telling daughter's BF he's eating too much?BEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

How often do you find yourself rushing… even when nothing is actually wrong? You're hurrying your kids to get in the car. Speed-walking through the grocery store. Eating lunch while answering emails. Counting down to Friday. Thinking, "I just need to get through today." Somewhere along the way, I think we've started treating ordinary life like it's an emergency. I started saying these 5 words to myself... "This is not an emergency." Today we're going to talk about how to stop living like every single thing is on fire... ...because it isn't. And when you start reminding yourself that this isn't an emergency... you don't just become calmer… you become happier overall.        We Have Accidentally Turned Everyday Life Into An Emergency Think about how many times today you probably said... "Hurry." "We're late." "Come on." "We don't have time." "Let's go." Most of us are moving at emergency speed... ...without an emergency.   Ask yourself... If someone watched security camera footage of my life... would they think I was constantly responding to disasters? Or just making breakfast? Because sometimes they look exactly the same.       Examples We Rush Through Every Day Getting kids ready for school Instead of... "Hurry! Hurry! Hurry!" Imagine saying internally... "This isn't an emergency." Will they still get dressed? Yes. Will yelling make it faster? Usually not. But it definitely changes everyone's morning.     Waiting in line We immediately grab our phones. Complain. Get frustrated. Instead... "This isn't an emergency." Maybe it's two extra minutes. Maybe this becomes your breathing break.   Traffic Somebody cuts you off. You're late. Heart rate skyrockets. Except... You arriving thirty seconds sooner changes almost nothing.     Grocery shopping People rush aisle to aisle. Barely noticing anyone. Never smiling. Never enjoying choosing food they'll feed their family. Life becomes one giant checklist.       Cleaning your house Instead of... "I have to get this done." Try... "I GET to create a home my family enjoys." Same task. Different experience.       Folding laundry Jay Shetty often talks about mindfulness inside ordinary moments. Laundry isn't stealing your life. Laundry IS your life. These ordinary moments ARE your life.       The "Can't Wait Until..." Trap This one is huge. People spend decades saying... "I can't wait until..." The baby sleeps through the night. They're potty trained. They're in kindergarten. Middle school. High school. College. Retirement. Vacation. Friday. Summer. The remodel is finished. When we finally move. When the house is clean. When I lose twenty pounds. Jay Shetty talks often about how our minds live in the future... and miss the only place life actually exists. Today.       What If This Was The Good Part? This might be the chapter you'll miss someday. The noisy dinner table. Little baseball cleats by the door. Teenagers asking for rides. Kids needing hugs. Messy kitchens. Dog hair everywhere. The chaos... might actually be the dream.       Looking For What's Wrong One thing I've noticed... When we're rushing... our brain becomes a problem detector. Traffic. Mess. Noise. Delays. People moving too slowly. Bad service. Rain. We're constantly scanning for irritation. Instead... What if we asked... What's beautiful about this moment? What would I miss if this disappeared tomorrow?   The Brain Finds What It Looks For If you're looking for inconvenience... you'll always find it. If you're looking for joy... you'll find that too. This is something both Mel Robbins and Jay Shetty return to in different ways: attention shapes experience. You don't control every circumstance, but you do have influence over where your mind rests.   Different Phases Of Life Young parents Instead of... "I just need bedtime." Think... "This little voice asking for one more story won't last forever."   Parents of teenagers Instead of... "I can't wait until they're independent." Think... "One day they'll stop needing me this much."   Working professionals Instead of rushing meeting to meeting... Take thirty seconds. Breathe. Drink your coffee while it's hot. Look out the window. Nothing explodes.   Entrepreneurs Everything feels urgent. Every email. Every customer. Every notification. Every opportunity. But if we're honest... very few business decisions require panic. Good businesses are built through consistent decisions... not frantic ones.       Questions To Ask Yourself Whenever you feel yourself speeding up... Ask: Is someone in danger? Is this actually urgent? Will this matter next week? Can I slow my breathing? Can I speak softer? Can I smile? Can I enjoy this? Can I choose peace instead?   My Favorite Reset Whenever I notice myself getting worked up... I literally say... "This is not an emergency." Sometimes out loud. Immediately... My shoulders drop. My breathing slows. My voice softens. I become a better mom. A better wife. A better friend. A better business owner. Not because my circumstances changed... but because my nervous system changed.   Tiny Moments That Become Better Waiting for your coffee. Watching your child tie their shoes. Cooking dinner. Folding towels. Driving to volleyball practice. Standing in line at Disneyland. Watching Little League warmups. Listening to your teenager tell a story that takes forever. Walking your dog. Sunsets. Rainstorms. Family dinners. These moments don't need to be escaped. They're the moments we're going to remember.   CHALLENGE OF THE WEEK This week... Every single time you notice yourself rushing... Pause. Take one deep breath. And simply say... "This isn't an emergency." Then intentionally slow down by just 10%. Walk slower. Talk slower. Eat slower. Drive calmer. Listen longer. Smile more. You might be surprised how much life you discover in those extra few seconds.     Life isn't usually asking us to move faster. It's asking us to be more present. The irony is that we spend so much of life racing toward the future... that we barely experience the life we're actually living. So this week... Give yourself one simple reminder. "This is not an emergency." Because most of the time... it isn't. And when you stop treating ordinary moments like crises... those ordinary moments become extraordinary. I hope this episode helps you slow down & enjoy the beautiful life you're already living.

See omnystudio.com/listener for privacy information.

Our sponsor today: betterhelp.com/aitapod for 10% off online therapyFOLKS, we got a smoking theme today. You know Radu loves it, people. THANKS FOR LISTENING. (0:00) - Smoking banter(6:40) - AITA for smoking on my balcony?(19:50) - AITA to tell my smoking boyfriend he has to quit?(30:27) - AITA for confiscating my sister's vapes?(38:33) - AITA for refusing to switch hospital rooms after another patient complained?BEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

Guests complain of Taylor Swift's "tacky" buffet wedding reception. Plus, Prince Harry loses his latest lawsuit against media outlets he claims were stalking him and his wife Meghan Markle. SHOCKING new RHOBH allegations come out in the latest divorce dispute. And the USA officially gets booted from the FIFA World Cup. Matt Freese breaks his silence after epic fumble. Grab your hydration boost and save 20% off your first order at https://dripdrop.com/ by using the promo code NOFILTER at checkout. Head to https://www.factormeals.com/nofilter50off and use code nofilter50off to get 50% off and free daily greens per box, with new subscription only, while supplies last until 09/27/2026. (See website for more details).Become a Member of No Filter: ALL ACCESS: https://allaccess.supercast.com/ Shop New Merch now: https://merchlabs.com/collections/zack-peter?srsltid=AfmBOoqqnV3kfsOYPubFFxCQdpCuGjVgssGIXZRXHcLPH9t4GjiKoaio Book a personalized message on Cameo: https://v.cameo.com/e/QxWQhpd1TIb Disclaimer: The views expressed in this video, on this YouTube Channel, and on No Filter with Zack Peter are for entertainment purposes only. All content is protected under Fair Use Rights.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

10% off online therapy at BetterHelp.com/aitapod Folks, it's an ep about CHEATING. No one likes to get cheated on, but cheating itself, seems kinda fun. In this one we unpack some situations where cheaters get their comeuppance and people wrestle with being friends with THE CHEATING TYPE. Me personally, I never could imagine cheating on account of having one woman seemed like plenty too many already!!! Yes, I am becoming a boomer. Anyways, enjoy the ep and remember to set boundaries if you do crack. It's one of the biggest pitfalls of using the drug. (0:00) - Cheating Thoughts(15:42) - AITA for asking for a divorce after I cheated on my husband?(35:09) - AITA for pulling out of a dude's Vegas trip bc my friend's cheating on his wife?(45:35) - AITA wife wants to be friend's with a guy she cheated with?(55:10) - AITA for not being sympathetic to a friend who cheated?BEST way to Submit a sitch or comment: https://www.reddit.com/r/AITApod/Email - amitheahole@gmail.com Join Patreon! https://patreon.com/aitapodWhat's on Patreon?- 250+ Bonus eps- NO ADS and accurate timestamps- Complain and comment DIRECTLY to Danny :D TikTok - https://www.tiktok.com/@aitapodInstagram - https://www.instagram.com/aita_pod/

This episode is presented by Create A Video – AP Dillon is a reporter for the North State Journal. Read her reporting at NSJonline.com. She publishes a Substack.com newsletter called More To The Story. We chatted about the US Supreme Court ruling on transgender athletes and the North Carolina General Assembly overriding four of Gov. Josh Stein's vetoes. And while Democrats complain that the Republican legislature is engaing in "culture war politics," the GOP legislation is always in response to transgressions by the political left.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-pete-kaliner-show--6946691/support.Subscribe to the podcast My preferred podcast platform: SpreakerAll the links to Pete's Prep are free!Get exclusive content here!Media Bias Check: GroundNews promo code!Advertising and Booking inquiries: Pete@ThePeteKalinerShow.com