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Es gibt Gäste, die erzählen ihre Erfolgsgeschichte. Und es gibt Christoph Adam. Der Hagener tätowiert seit 1999, hat sich das Handwerk zwischen selbstgelöteten Nadeln und Spulenmaschinen praktisch selbst beigebracht und mit dem 101 einen Laden aufgebaut, vor dem die Leute bis auf den Parkplatz Schlange standen, nur um einen Termin abzugreifen – bei 18 Monaten Vorlaufzeit und Preisen, die er aus Prinzip fair gehalten hat. Seb und Christoph graben sich durch eine Zeit, in der dir Kollegen morgens vor der Haustür standen, um dir deine Maschinen wieder abzunehmen und dir noch schnell den Reifen aufzustechen. Es geht um das Ruhrgebiet, um Graffiti-Dosen aus dem Baumarkt, um die Tattoo-Touristen der TV-Show-Ära und um die ehrliche Frage, was von diesem Beruf eigentlich übrig bleibt, wenn er sich in eine Richtung entwickelt, mit der man selbst nichts mehr anfangen kann.Der zweite Teil geht dahin, wo die wenigsten Folgen hingehen. Christoph erzählt, wie er sein Klamottenlabel Altes Eisen ausgerechnet dann beerdigt hat, als es zu gut lief – und wie danach Trennung, alleinerziehender Vater, Ladenschließung, Corona und Insolvenz nacheinander eingeschlagen sind, während ein Großteil des Umfelds daneben stand und zugeguckt hat. Wie man da wieder rausklettert, warum er heute mit Ain't Like You, Ruhrcoast und einem Job mit Urlaubszettel ziemlich im Reinen ist und weshalb er das Wort „Lebensplanung" für einen Irrglauben hält, macht diese Folge zu einer der ehrlichsten am Tisch.@christoph_motherfucker⁠⁠⁠[ WERBUNG ]Bei unseren Werbepartnern könnt ihr richtig sparen - darunter bei Neonsfeer, Murostar, Killer Ink, Cheyenne Tattoo Equipment, CoalBlack oder Caos Nero! Alle Infos auf ⁠⁠⁠⁠⁠⁠www.tftn-podcast.com⁠⁠⁠⁠.

Watch the full episode on YouTube:We first covered Baseten last year when DeepSeek mania was at peak hype. Now they have raised a monster $13B round and become one of the new cohort of AI Infra decacorns that are (with Nvidia, Intel, and the semis complex) chief beneficiaries of the Inference Inflection. We return to Baseten at the peak of the 2026 edition of Open Weights debate. Ali has published a viral breakdown of Kimi K3:And since you last saw him, Philip has spoken at AI Engineer and written the definitive book on Inference Engineering spotted all over SF:Three years ago, inference engineering barely existed as a category.Today, it is one of the most critical disciplines in AI. Inference engineering inherently tackles a different question than standard model training: “How do you turn those weights from training into a product that is fast, reliable, and affordable at scale?” Focusing on these creates an entirely new optimization problem.In one recent GLM-5.2 experiment, quantizing more of the model actually preserved its benchmark quality while increasing throughput by 20%, because the errors introduced in different layers could cancel each other out.Inference is no longer just the final step after training. It is becoming its own engineering discipline, with its own research problems, infrastructure, and increasingly specialized roles.In this episode, Baseten's Philip Kiely and Ali Taha join swyx and Vibhu to explain what actually happens after a new open model is released and what it takes to turn “we generated a token” into a fast, reliable, production-ready API.We go deep on cache-aware routing, disaggregated prefill and decode, quantization, speculative decoding, KV-cache movement, model parallelism, GPU kernels, and the race to make frontier models up to 10× faster. Philip and Ali explain why inference optimizations can still produce gains of 20%, 100%, or even 200%; how quantization errors can cancel one another out; why identical weights can behave differently across clusters; and how Baseten grafted a Kimi vision encoder onto GLM-5.2 without changing the underlying language model.The conversation then expands beyond LLMs into NVIDIA Dynamo, mega kernels, Rubin, AI-specific chips, local inference, video generation, diffusion versus autoregressive models, and the enormous compute barrier to generating coherent long-form video. Finally, we explore the convergence of training and inference, continual learning through persistent KV cache, and the emerging loop where models help optimize the infrastructure that runs them.We discuss:* What happens when a 200,000-token request enters an inference system* Cache-aware routing and reusing previously computed KV cache* Why prefill and decode are increasingly handled by different GPUs* When dedicated deployments become cheaper and more reliable than shared APIs* How speculative decoding uses a smaller model to accelerate a larger one* Tool calling, structured outputs, and what LLMs actually do* What it takes to support a new open model on day zero* Grafting Kimi's vision encoder onto GLM-5.2* Retrofitting inefficient model layers with components from other architectures* Why models sometimes collapse into repeating the same token* How hardware, kernels, and race conditions create nondeterministic failures* Preserving model fidelity while making inference faster* How quantization errors can cancel each other out* Why inference optimizations still deliver gains of 20%, 100%, and 200%* How optimized serving can make a model up to 10× faster* NVIDIA Dynamo, KV-aware routing, and distributed model serving* Speculative decoding the speculative decoder* Why local AI is about making models less dumb while data-center AI is about making them less slow* Tensor, expert, and pipeline parallelism across GPUs* Hardware-aware model design, auto-tuning, and the case against mega kernels* Rubin and why inference is becoming a systems problem* Whether modern GPUs are evolving into programmable AI ASICs* Why enormous models like Kimi K3 require GB300-class hardware* Why open-source video generation still trails Veo, Kling, and other closed models* The quadratic attention bottleneck behind long-form AI video* Autoregressive video, real-time generation, and compounding quality drift* Why future video systems may combine autoregressive and diffusion architectures* Training for inference and inference for training* Continuous post-training, deployment, evaluation, and improvement loops* How GLM-5.2 helped optimize the kernels serving GLM-5.2 itself* Why faster networking could unlock dramatically faster decoding* Continual learning, KV-cache compaction, and persistent model memoryShow Notes* How to build a day-0 API for Kimi K3* 22580: From GPT2 to Kimi3, ExplainedPhilip Kiely* LinkedIn: https://www.linkedin.com/in/philipkiely* X: https://x.com/philipkiely* Inference Engineering: https://www.baseten.co/inference-engineering/Ali Taha* LinkedIn: https://www.linkedin.com/in/aliestaha/* X: https://x.com/waterloointernTimestamps00:00:00 Introduction and the 200K-Token Prompt00:03:18 Dedicated Deployments, Speculative Decoding, and Tool Calling00:11:26 Launching Production-Ready Open Models00:19:06 Model Retrofits, Failure Modes, and Nondeterminism00:28:22 Quantization and Canceling Errors00:32:15 The Race to 10× Faster Inference00:40:48 Dynamo, Speculation, and Local vs. Data-Center AI00:50:18 Model Parallelism, Auto-Tuning, and Mega Kernels01:00:55 Rubin, GPUs vs. ASICs, and Custom AI Chips01:10:03 Giant Models and the Limits of GPU Memory01:12:42 AI Video, Quadratic Attention, and Autoregressive Generation01:21:47 Audio, Images, and Diffusion Models01:27:32 Training, Self-Optimizing Models, and Continual Learning01:40:06 Closing ThoughtsTranscriptIntroduction: Baseten, Waterloo Intern, and Inference EngineeringSwyx [00:00:00]: Okay, we're here in the studio with Philip, old friend from Inference Engineering, the book, as well as Baseten and everything that you've done, you and I have done before, as well as Ali. Welcome.Ali [00:00:15]: Pleasure to meet you.Swyx [00:00:15]: Waterloo intern.Ali [00:00:16]: Waterloo intern, always.Swyx [00:00:17]: When did you get “Waterloo intern” as a handle?Ali [00:00:19]: As a handle? Oh.Ali [00:00:20]: I think the rebranding happened mid-March. When I saw it was open, I was like, “I have to take it. Up for grabs.”Philip [00:00:26]: The problem is that Ali is really good at his job and is not gonna be an intern much longer.Philip [00:00:30]: So we have to figure out who's gonna get the handle.Ali [00:00:33]: Well, I'll pass the torch over to the next intern.Swyx [00:00:34]: Oh, okay. It can be, like, you just pass it to another Waterloo grad.Ali [00:00:37]: To another Waterloo intern. No, bruh.Philip [00:00:39]: Yeah.Ali [00:00:39]: Intern.Swyx [00:00:40]: Intern, yeah.Ali [00:00:40]: And no.Philip [00:00:41]: You gotta get an intern from Waterloo.Ali [00:00:42]: Yeah, I've gotta get an intern from Waterloo.Swyx [00:00:44]: Right.Ali [00:00:44]: But they have to follow the path.Swyx [00:00:45]: Oh, it could, but it could come from Baseten, so it's like whoever Baseten gets from Waterloo.Ali [00:00:48]: Right.Swyx [00:00:49]: Has the title of Waterloo.Ali [00:00:50]: It stays in the ecosystem.Philip [00:00:51]: Exactly.Ali [00:00:52]: Halfway through the internship, you either get it or you're out.Philip [00:00:55]: You should also do, like, a big graduation ceremony where you change the handle.Ali [00:00:59]: Just say it.Philip [00:00:59]: For everybody.Swyx [00:01:00]: You guys are good at ceremonies, clearly. We had a nice launch of the book, very successful. But before we get into all that, I wanna start off with a fun question for you. Okay, you're an expert inference engineer. What happens when I send a long query, say two hundred thousand tokens into Baseten's inference? What's the process of query through GPU model routing, balancing, all that? What is all the stuff that we don't think about?Long Context Requests, KV Cache, and Cache-Aware RoutingPhilip [00:01:26]: With a long query specifically, the first thing that I'm gonna ask is, “Have you sent me this query before, or at least part of it?” and I really hope you have, because it's gonna be a lot easier for me and a lot cheaper for you. So the first thing that we're gonna look at is some cache-aware routing, where we're going to see, we probably have a number of instances, a number of replicas up serving whatever model you're hitting. We want to send this one to something with, number one, available prefill workers, and number two, ideally some cached input already there so that we can skip prefill on at least part of these two hundred thousand tokens. If you're doing two hundred thousand tokens, it's probably coding or a multi-turn agent or something where you would expect to have that cached. If you don't, we're gonna have to send it to a prefill worker. We've at least on certain models disaggregated prefill and decode, so you're going to have one set of GPUs that's solely going to process the input, create the KV cache, and get you your first token, and then that's going to be passed over to a separate set of GPUs, which is going to run decode. We're going to iteratively make those tokens. We're probably going to have some speculator model in front of that. I'm going to assume that you're doing coding, and because of that, our speculator model, which assumes you're doing coding, is gonna have a high draft token acceptance rate. If I'm wrong and you're asking me to summarize every Harry Potter book, it's gonna be slower. And then we stream that output to you and account for it, charge you, a couple of pennies and say, “Hey, would you like to send another one?”Swyx [00:03:04]: Except Baseten doesn't charge by pennies.Philip [00:03:07]: Well, yeah, we charge. I'm assuming that we're talking about the public model APIs. If you are setting up a dedicated deployment, then yeah, it's not pennies.Public APIs vs. Dedicated DeploymentsSwyx [00:03:18]: Yeah, one of the key differentiators when I was talking with Baseten initially was that people who want very high volume just need to rent by the box, ‘cause then it's up to you to figure out how to saturate the box.Ali [00:03:31]: And more often than not, it's, like, way cheaper if you're pushing, like, millions of tokens per hour, if you just pay per hour instead of pay per token.Philip [00:03:37]: Yeah, they do. I think that we've increasingly seen a lot of demand for the pay per token APIs, just because everyone wants to try open models, and then once they find a use case that's really sticky, then they move over to dedicated.Swyx [00:03:51]: Is there a best practice on when it's time to swap over?Philip [00:03:54]: Couple reasons. Yeah, reliability, that's a big one, right?Ali [00:03:57]: Like, if they have a very specific use case, they want you to train something specifically for them, like they want their own spec dec, for instance, for their own traffic.Swyx [00:04:04]: Spec dec is speculative decoding.Speculative Decoding and Custom SpeculatorsAli [00:04:05]: Speculative decoding, yeah.Swyx [00:04:07]: You have to explain.Ali [00:04:07]: Sorry. Like, speculative decoding is like, if you have a huge model, right? And so the model is going to be generating one token at a time every single turn, every single forward pass. So we attach, like, this little, like, parasite, like this layer that goes on top of the model, and this model just has to predict. It does three very fast autoregressive forward passes, and it will predict, like, three certain tokens, and then you do one forward stage over the entire original model in order to see if those predictions were correct or not, and then you accept them or you reject them. Now, this draft model is traffic specific, so if you, like, Philip said, if you're summarizing Harry Potter books, I can train exclusively that draft model on Harry Potter books, and I can guarantee you that I'm gonna accept the three tokens every single time. And so with that case, I increase your decode speed. I wouldn't be able to provide this to you if you're a shared endpointSwyx [00:04:53]: YeahAli [00:04:53]: ‘cause I have no idea if you're doing Harry Potter, if you're doing coding, if you're doing English. We don't know. Also, there was a thing in the book that mentioned that if they really cared about a specific threshold, chapter four, I think. Do you remember that?Philip [00:05:06]: Yeah. The things that you can do is you can set a specific, like, batch sizing, a specific, like, parallelism strategy if you're trying to optimize for, like, throughput versus latency. You can. Maybe a NVFP4 quant doesn't pass your benchmarks and you wanna run a model at higher precision, you could do that. There's just a bunch of reasons why you might wanna have your own endpoint and the biggest one, of course, just being, like, you don't have to deal with someone else doing a hundred million tokens of benchmarking traffic at the endpoint when you happen to be trying to serve your users.Swyx [00:05:40]: Yeah. I think one thing that is. That is a classic journey. Like, it's people is asking the, what happens when you type Google into the browser. Tool calling, is that just, you're generating JSON or is there more complication beyond that?Tool Calling, JSON, and Structured OutputsAli [00:05:58]: Certain customers that we have, they have their own post-trained models, and so they demand a tool calling that's not just, like parse a file or go find the weather. It's something that's very specific and you have to do post-training on this. And if the post-training on the model is not good or if the quantization after the post-training to get the inference to be fast, the model will struggle reading the JSON file and reading the tool calling. But it doesn't require its own like sandbox. It's not like it's going to use that tool calling to like escape a sandbox or like it doesn't have to be contained. It can just be a normal dedicated deployment. The challenge with tool calling more and more seems to be that the companies want certain tool calling which is a very sensitive thing to train. And because you're dealing with all of the JSON outputs, if it doesn't like close the end of the request in a very certain manner, you end up with a model that did the tool calling and like the thinking and so as a result of that, it didn't see the result and just hallucinated the result as it decoded. That seems to be the most challenging thing with tool calling, not really the sandboxes model.Philip [00:06:56]: Yeah, that's a challenge on the training side and then on the inference side, there's work that you can do to scope the possible output. So we published this at this point close to two years ago, the solution to this problem which is you make a state machine and you use that to constrain the output to a specific format. So this is the structured output problem. If you remember backSwyx [00:07:27]: Yeah, the specific grammar is,Philip [00:07:29]: Yeah, exactlySwyx [00:07:30]: GML had this thing.Philip [00:07:31]: Yeah. So it's like the old-school “make sure this is only JSON”, return only JSON orSwyx [00:07:38]: YeahPhilip [00:07:38]: Grandma's gonna die type of prompts.Swyx [00:07:39]: Is it BNF grammar? At some point OpenAI had released a thing that was like, yeah, if you want to constrain your output, write BNF grammar, back as NOR.Philip [00:07:47]: In our inference system, it's just a specified output format. And you get the guarantee that your output's gonna be structured along that format. And so applying that to tool calls can like help cut down on. You can still call the wrong tool or call no tool. It doesn't solve the certainty problem but it at least solves the output structuring problemSwyx [00:08:10]: YeahPhilip [00:08:10]: Within tool calls.Swyx [00:08:12]: And MCP is just another form of tool, right.Philip [00:08:14]: Yeah, exactly.Swyx [00:08:15]: As far as there's no special thing there.Philip [00:08:16]: The thing I'm always like explaining to people is the LLM is not capable of doing anything. It's only capable of making suggestions of what to do and then if those suggestions are formatted in a certain way and applied to a system that knows what to do with them, then an action occurs.Swyx [00:08:32]: Yeah. Part of the fun stuff is, this is solved outside of tool calling too. Like in an agent loop if the output is not correct or you're right, like reasoning, tool calling was done in the reasoning trace, just be like, “Oh, I don't know what to do. Let me just try again.” And it might get there after a few tries. And on your point of training, sometimes this is harder in smaller models, so you don't have the same exact quality outputAli [00:08:56]: Right.Swyx [00:08:57]: When you just swap from a big model, right?Ali [00:08:59]: Yeah. I will say that, before, I think we need to go back to inference engineering proper.Ali [00:09:04]: But, I had expected that something would replace JSON because it's hard to stream JSON ‘cause JSON must be complete and you must have open and close brackets and everything. So it's hard to parse something or validate something while it's being streamed. So people invented all sorts of things that are like, I forget the name of some of these alternatives, but it's something like TOML, something like YAML. But JSON seems to be dominant still.Philip [00:09:30]: The JSON outputs aren't that long, right? Like you could have a long-- ‘cause tool calls also contain the arguments in them and perhaps for a certain tool you might pass like a very long argument. But my impression of the median tool call is that it's a relatively small number of tokens, right? So I would expect that speculators are generally fairly good at something as formatted as JSON. And so you would have like a pretty fast decode step there and that the streaming wouldn't be as valuable, but maybe I'm wrong about that.Ali [00:10:02]: I think you're also bounded by the software or that the model is gonna integrate with if the software is built with JSON for the tool calls or if the company that you'- if your customer says that this is how our software works and our tools are interfaced with JSON, you can ask them to like, change their software and say like, “Yeah, this is gonna be better for the model.” but like with the right training shouldn't be that much of a difference. Also more profitable if it outputs more tokens probably.Swyx [00:10:25]: Depends on your business model.Swyx [00:10:27]: It really depends. But I will say that, as a writer with like experience a lot with generated output, I do try to move from text to JSON text which is very long JSON, right? Like there's paragraphs in every field because I'm trying to structure it, right?Philip [00:10:44]: Right.Swyx [00:10:44]: I want you to first make factual statements, then make opinions then make bullet point summaries, have dates, have entity references have your sources for references, all these things. Anyway, so these are things that like I think people who really experiment with structural output have to really care about. But, let's, let's recurse up the stack a little bit. Before we started recording, you mentioned something really cool, which is that there's a lot of engineering that-- inference engineering that goes on when a new model provider releases a new model, right? So let's call it GLM-5.2, Kimi K3. I had previously assumed, especially if it's like, well, GLM 5 to 5.1 to GLM-5.2, like that you've supported them before. Is it that much work?What It Takes to Support a New Open ModelAli [00:11:26]: It's a lot of work.Swyx [00:11:28]: Yeah. Okay. So like, a lot of people, all you guys, right whenever a new model launch like, people rush to say like, “Oh, Hugging Face supports this, Fireworks supports this, Spacetime supports this,” and I'm like, “Yeah, of course we support it.” But what goes into that? What goes intoPhilip [00:11:40]: I think it's more than just support it too, right? It benefits the consumer a lot. Like I think it was with Kimi K2.5 or GLM-5.2 the latest, there was an inference war, right? X provider is at 90 tokens a second. The next day we're at 150. The nextSwyx [00:11:55]: I kinda kicked that off with the GLM-5.2.Swyx [00:11:58]: I wrote a Twitter article about. It got like half a million views,Ali [00:12:02]: Based on being numberSwyx [00:12:03]: YeahAli [00:12:04]: Or it's for something else.Swyx [00:12:05]: Yeah. Which,Ali [00:12:06]: Oh my GodSwyx [00:12:07]: Which then got everyone really excited about, hey, how can we, bend tracks a little bit further and,Philip [00:12:14]: There's a difference between support the model, as in I can make a token out of this model, and support a model, as in I have a production-ready API from this model.Philip [00:12:26]: Getting to the point of I can make a token out of this model is not that hard because generally the, open source inference engines, vLLM, SGLang of the world oftentimes even receive weights ahead of time, maintainers do, or the people making the model merge PRs to ensure support. So you generally can, just get it working on the standard open source stack without too much pain in most cases. The challenge is, every inference company is gonna have own proprietary stack. Some open source components, some in-house stuff. And for any arbitrary model, there's going to be some new stuff. Sometimes you get lucky, like K, two five to two six was, like, pretty similar.Quantization, Speculators, and Production ReadinessAli [00:13:16]: Yeah. It was pure continued post-trainingPhilip [00:13:18]: YeahAli [00:13:18]: If I remember correctly.Philip [00:13:19]: Even in those cases, there's still stuff you have to do. You have to redo the quantization work. You're taking the model from. Generally, these models are not released in NVFP4, and we want them to be in NVFP4 for maximum Blackwell compatibility. So we have to perform that quantization, and, calibrate the quantization to make sure that we're not causing any regression in the model's intelligence. And then we also have to train the speculator, as we've talked about. Generally, we have. We have ZDR, zero data retention on our model APIs, so we don't know exactly the traffic that people are sending us, but we know what's popular. We know that coding use cases are popular. We know that agents, agentic use cases are popular. So we can get public data sets that are representative of that traffic and train general speculators. Now, with speculators today, you need to train the speculator using the base model itself because you're getting hidden states out of the model from running inference on these specific prompts, and that is the training data you use to create the speculator. So there's that process which you need the real model weights for. And then there's of course just the process of, standing up all the infrastructure behind it, loading all this stuff, testing it. And then when there's a new model with a newer architecture, I think that, like, the DeepSeek models tend to be the most challenging as they have, like, the most novel architectural stuff going on, model after model. But every new model has something. Kimi K2 had. Oh, sorry, GLM-5.2 hadAli [00:14:53]: Sparse attention.Philip [00:14:54]: Yeah,Ali [00:14:54]: YeahPhilip [00:14:54]: the DSA.Ali [00:14:55]: Right. Which is brought from DeepSeek.Philip [00:14:57]: Yeah. AndAli [00:14:59]: So you can copy-paste then?Philip [00:15:01]: It kindAli [00:15:01]: I don't know how this works.Philip [00:15:02]: So, like we had to, like, build support for that into our runtime. And you're right, like it is really interesting the way that all of these open source labs borrow from each other. For example, like GLM-5.2 doesn't have vision. So something that, Haley, a guy on our team, if we could take a look at this, he, like, grafted the Kimi vision encoder onto GLM-5.2.Retrofitting Vision into GLM-5.2Ali [00:15:27]: We'll be training the projector.Philip [00:15:28]: Exactly. So if you think about, like, the encoder, there's the encoder, which is the part that looks at the image and turns it into latent information, and then there's the projector which likeAli [00:15:38]: You can say latent space. It's okay.Philip [00:15:41]: And then there's the projector that maps it onto, the model itself, and then there's the model weights. You don't wanna mess with the model weights because you run a chance of making the model dumber at something else for the purpose of giving it vision. So instead, Haley started with just a projector, which is only a handful of millions of parameters.Ali [00:16:02]: That would be, yeah.Philip [00:16:02]: Yeah.Ali [00:16:03]: Can you show the training one?Ali [00:16:04]: Like the way it groksPhilip [00:16:05]: YeahAli [00:16:06]: Very interesting.Philip [00:16:06]: And maybeAli [00:16:07]: That right therePhilip [00:16:07]: Maybe Ali, you should take it from here. You've got a betterAli [00:16:10]: Ooh, double the sandPhilip [00:16:11]: Understanding of this than I do.Ali [00:16:11]: Yeah. You can see, like, he. The way he trained this is really cool. At the beginning, he was training it using just like, “Here's a picture of a mountain. Can you describe what's in this mountain?” And that caused it just like the first, learning walls. Like here you can see this all we're trying to teach it is to translate the encoded. Like it's already taken the encoder from Kimi K. It's taken the image. It'Philip [00:16:31]: Yeah. FrozenAli [00:16:31]: FrozenPhilip [00:16:32]: With adapter.Ali [00:16:32]: Exactly.Philip [00:16:33]: Yeah.Ali [00:16:33]: So the brain is frozen and the eyes are frozen. It's just we're tryingPhilip [00:16:37]: AlignAli [00:16:38]: Interconnect between the eye and the brain, right? So the projector. And so you take the tokens and then he's like, “Oh, can you describe what's in this image?” And he's like, “Oh, it's a mountain,” or it's a person or it's a human, whatever the case is. But that didn't cause complete understanding. So he changed it such that every image was associated with a data set of questions. Like, does this image have a white male? Does this image have birds in the top corner? Does this image have a scientist in it? All of that stuff. And it would have to answer questions correctly. And using not just training on describing an image, but being able to answer question, another question, answer over time. Like you can see the grokking, which is like genuinely insane, that retrofitting vision into a large LLM can learn to that extent. And even for images that it doesn't perform well on, for instance, if you ask it a picture of like Stephen Hawking, “Who is this?” Maybe it doesn't get it, but it will say something like, “This is Albert Einstein.” Like it still understandsPhilip [00:17:25]: Close enoughAli [00:17:26]: That this is a scientist who is a man who has, some significant achievements, all that stuff. So that's like really cool.Philip [00:17:32]: Yeah. So, we've covered Hao Tian before, who the author of the LLaVA paper that did this, a while ago. And I think that's very foundational work for anyone who hasn't done vision work before.Ali [00:17:41]: Same with the CLIP and MetaCLIP, where you go from just captioning to building out questionsPhilip [00:17:47]: RightAli [00:17:47]: Off the image and how much better you can get performance.Philip [00:17:50]: Right. Right. Right. Yeah. But what's, what's so exciting about this is if you look at a model like this. Now, this is a little bit more of a research project. It's not. It got to 56% on MMLU Pro, I think. So not quite frontier. But if you're running this model, you haven't suffered any loss on your GLM-5.2 quality. If you don't have an image, it'll just behave exactly the way it used to. And ultimatelyAli [00:18:14]: Which in the inference code you literally do not include the other part, right?Philip [00:18:18]: Yeah. You would just skip the encoder if you don't have an image input.Ali [00:18:22]: Okay.Philip [00:18:22]: Just confirming.Philip [00:18:23]: YeahAli [00:18:23]: Does it affect a lot on the overall inference side? Like you're not adding much, you're adding a very small vision encoder. These are typically likePhilip [00:18:30]: They're super fineAli [00:18:31]: Less than a billion parameters, right?Philip [00:18:32]: Yeah. It's, - There's a little bit less standardization among vision encodersSwyx [00:18:37]: YeahPhilip [00:18:37]: So the support matrix can be a little bit, sparser. But overall, yeah, it's a pretty, it's a pretty minor component of the overall system. And ultimately what you get out of the system is all of a sudden you have Kimi Vision, GLM weights, and DeepSeek attention all in one model.Open Source Model Grafting and Franken-MergesPhilip [00:18:56]: And that's, I think, a lot of the power and beauty of open source, is that you can take all of these different components and combine them together into a system that's better than anyoneSwyx [00:19:05]: YeahPhilip [00:19:05]: Can be individually.Swyx [00:19:06]: People used to say that you would also do Franken-merges where you would take likePhilip [00:19:10]: YeahSwyx [00:19:10]: Layers from each model.Swyx [00:19:11]: Does anyone do that anymore?Ali [00:19:13]: Well, to your point previously when you were mentioning like, the work that goes into supporting a model when it first comes out, like GLM-5.2 or MiniMax M3 or whatever the case is. Sometimes you do have to like, you do have to switch out some things. Like, for instance, the MiniMax M3 head uses full attention, and with full attention you end up with this like insane bottleneck in spec dec ‘cause you're doing auto-regressive token generation for three tokens, and you're doing this like N squared over all of the tokens that are in your sequence. Your KV cache is like very large because it's not sparse, it's not top K. So we find it better to like, okay, we're gonna replace this, we're gonna replace this layer with a layer from another model that's using like GQA, for instance. And then just with the right training, you can get it to have the same acceptance rate. So it is very possible to retrofit layers from other models and very much needed. If a layer is like inefficient, the training just becomes the challenge, like how do you ensure that you train it properly? Which again to your earlier point is like the mesh between training and inference. As in like you need very good training in order to do fast inference. That's like, I feel like more and more becoming true.Swyx [00:20:21]: Yeah. Anything else on the support side when you say like get it to fully production ready?Loop Detection, Race Conditions, and Non-DeterminismPhilip [00:20:26]: Yeah. I think that there's also a question of just, we can test a model to a pretty extensive degree, but we're trying to get it out quickly and then you see a bunch of other people test it and you get interesting results. There was an issue with, GLM briefly where we had some like mode collapses where it would just output the same token over and over again for certain prompts on certain temperatures. Like once you expose an endpoint to the real world, there's going to be, so many more varieties of things given to it that you're able to, discover and patch things. So it's not just a, day zero process, it's then like for the first week, for the first month, if a model remains popular, like how do you both fix bugs and then continue to push the envelope on performance?Ali [00:21:21]: What do you mean you don't want your model outputting S?Swyx [00:21:24]: Is there loop detection on that stuff, by the way? It still happens like quite a lot, which is surprising.Ali [00:21:30]: We have like we, in our endpoint, like if a model was to output the same token like four plus times, we just cut the generation. We say like, “Oh, sorry, this-- Like try again,” or like we will reprocess the request. ‘Cause we know then, like if it, like if, yeah, it's four times the same token, it's probably collapsed.Swyx [00:21:45]: Yeah. Is there a way to opt out in case I really want that?Ali [00:21:48]: You want that?Ali [00:21:50]: I think there's a way that we have to handle it. I'm not exactly certain, but I feel like in certain models, like when they output something like you can imagine, like a table for instance, and so they want, they wanna draw like 12 dashes and 12 dashes. Yeah, I think there's a way for that to happen. I think we only do it on certain tokens. Like we exclude certain special characters.Swyx [00:22:07]: Yeah.Ali [00:22:07]: So we only do it on like certain like S is the most common almost. GLM-5.2Swyx [00:22:11]: OhAli [00:22:11]: And I think it was DSV 4 as well. Like you'd just have like looping issues where like you literallySwyx [00:22:17]: ItAli [00:22:17]: Just have like S.Swyx [00:22:18]: Yeah. Is there a special, something special about S? No, just randomlyAli [00:22:21]: It just seems to be the one token involved.Swyx [00:22:23]: Yeah. And it'Philip [00:22:24]: Is thereSwyx [00:22:24]: And it's only temperature 0Ali [00:22:27]: NoSwyx [00:22:27]: Even at other temperaturesAli [00:22:27]: Even at like 0.9 or whatever, it will still, it will still collapse.Swyx [00:22:30]: That's weird, right?Ali [00:22:30]: It's, it is an inference problem to be honest, like a software problem. Like oftentimes, the image you run will-- like NVIDIA will release an image for instance, and if we will upstream the changes from their latest TensorRT-LLM image into our stack, we'll find that it fixes it. Or oftentimes this will only happen in an inference engine that you're using like SGLang. But if you were to switch to vLLM, that isn't the case. So it seems to be like an extremely like deterministic software issue and not really a model issue. It's not like a weights problem. Like I'- we'll say like, “Oh, it's a problem with the quant. We did PTQ wrong,” right? But that isn't, that doesn't make sense because the same weights used with a different inference engine does not repeat the problem. And sometimes it's, the kernels that are being used in the backend have like these very subtle sometimes race conditions, where if you were to use this model hosted on one cluster, you will never get this problem.Swyx [00:23:19]: Oh my God.Ali [00:23:19]: But if you host it on a different cluster, you will. And the reason is the KV cache transfer from a node to node in that one cluster is using a slower interconnect than the node to node in another cluster. So that exposes the race, whereas in another cluster it doesn't. So then you end up just like, okay, this model is not gonna be hosted on this cluster. We're gonna host it on, another cluster because that cluster exposed that problem. But then it ends up with like, okay, is it the software? Is it the model weights or is it the hardware?Swyx [00:23:42]: There is a thing about this with temperature 0 still not being deterministic, right?Ali [00:23:46]: Right.Swyx [00:23:46]: Mostly because of hardware. Even at temperature 0 same model, you won't always get the same output.Swyx [00:23:52]: Even-- But I'm surprised by the race condition one because, I thought PyTorch was a graph that like guarantees that you at least, execute things in the right order.Ali [00:24:02]: Well, yeah, true. Like I'm not, I'm not saying that there is. Like well, you have things like PTL optimizations where like you can start a kernel before the end of the previous kernel, and that's like ‘cause you want to do that because there'sSwyx [00:24:12]: It's like pipeliningAli [00:24:12]: Expense. Exactly.Swyx [00:24:13]: Yeah.Ali [00:24:13]: But it'- But you don't do it cleanly. Like you overlap a little bit of the execution. No, it is very possible that the kernel itself, like that one block that is supposed to be running in this instance of time, that kernel itself has a race condition. For instance, like a missing barrier. Like often if you're designing a kernel and you want it to make it to be very fast, if you don't test it extensively, you'll, you'll have certain threads access data points from registers before they've been written to by other threadsSwyx [00:24:36]: YeahAli [00:24:36]: For example, because like your barrier is wrong or your synchronization was wrong. But yeah, like the testing itself is very difficult in those like, andSwyx [00:24:42]: And there's no like borrow checkerAli [00:24:45]: What does that mean?Swyx [00:24:46]: Like Rust. Like the. If you're trying to have like memory safety It sounds like a comparable problem.Ali [00:24:52]: Well, yes, but you're working in CUDA, right, NVIDIA GPUs. Like- You just need a higher level language like modular Maybe that's what modular is supposed to do. I don't know.Quantization Quality and Vendor FidelityVibhu [00:25:00]: How do you see keeping quality of the model? So you talked about all these steps of, okay, you gotta do quantization, train your own speculative decoderAli [00:25:07]: RightVibhu [00:25:07]: Run on different hardware. Looking at other model providers, okay, you kicked off a inference speed race on the consumer end. What goes into keeping quality the same across them, right? Sure, you can run benchmarksAli [00:25:22]: YeahVibhu [00:25:22]: But, like, how do you determine how much quantization are there standards? What goes intoPhilip [00:25:27]: There's a few things on quality. Most inference optimizations are lossless. KV caching, for example. You are just recomputing or preventing recomputing the same values. Speculation, of course, if a draft token is wrong, it gets rejected. The main lossy optimization is quantization. And that really comes down to, number one, data format, number two, which parts of the model you choose to quantize, which layers, and number three, like doing a lot of calibration on the quantized weights, to ensure that you're preserving all the outliers. There's other tricks that you can do, though. A big one is long context, ‘cause one thing you asked at, right at the beginning is, “Oh, what's gonna happen if I send a 200,000 token request in?” So with a long input sequence, you need to, store a lot more information. You need to process a lot more tokens. And so even if a model has a context of a certain length, you might, as an inference provider, choose to build an API with a shorter context length, and of course a full length one as well. Because if someone doesn't need the full million token context, for example, you can get them better performance. I don't know if that's exactly like quality of the model. The way that I think about quality is to what degree are we faithfully serving the original model? If you think of a golden implementation of a model that performs exactly the way the model is designed to perform, I think of quality as how close are we getting to that, 100% fidelity of the model.Philip [00:27:13]: You can also, of course, think about quality from the training side and how do you push yourself past 100%. But when I think about purely inference optimizations, it's getting faster while staying as close to that 100% fidelity mark as possible. And certainly our standard internally is that, like you should not be able to tell the difference between our API and a, official API. I think Kimi in particular does a good job of vendor benchmarking hereAli [00:27:41]: YesPhilip [00:27:41]: Where they haveAli [00:27:42]: They released an actual vendor benchmark.Philip [00:27:43]: Exactly, yeah.Ali [00:27:44]: ‘Cause they accused, some people, Amazon? There was some provider that was not doing very well on Kimi's benchmark.Philip [00:27:50]: Yeah.Philip [00:27:51]: So, with Reflect we probablyVibhu [00:27:52]: This was a long time ago, right?Philip [00:27:54]: No.Ali [00:27:54]: Yeah, like threeVibhu [00:27:55]: They alsoAli [00:27:55]: Four, five months agoVibhu [00:27:57]: This also happened with, I don't remember which model, but they pulled out quite a few, and then they started a whole chart about this. It might have beenPhilip [00:28:03]: Kimi Vendor Verifier.Ali [00:28:04]: Yeah.Philip [00:28:05]: Yeah.Ali [00:28:05]: Yeah, ‘cause you, ‘cause you'd be pissed, right? Like if you'Philip [00:28:07]: Yeah.Ali [00:28:07]: If like if I'm a consumer and I'm using like Amazon's endpoint for instance, and I've used Kimi and I'm like, “Oh my God, like this is bad,” I'm not gonna say, “Oh, Amazon quantized the model in a bad way.” I'm gonna say, “Oh, Kimi sucks.” Right?Philip [00:28:17]: Yeah.Ali [00:28:17]: So it seems like that makes sense.Philip [00:28:19]: Yeah, they care. They care.Vibhu [00:28:21]: Justifiably.Ali [00:28:21]: Yeah, justifiably.Vibhu [00:28:22]: This is probably a stupid question, but just checking, has anything improved from main quantization?Philip [00:28:28]: Yeah.Vibhu [00:28:28]: Like, is quantization always strictly worse?Ali [00:28:30]: Well technicallyVibhu [00:28:32]: NoAli [00:28:32]: It's a lossy. QuantizationPhilip [00:28:33]: YeahAli [00:28:33]: Is a lossy, it's a lossy implementation.Philip [00:28:36]: Speed improvesVibhu [00:28:36]: Speed improves.Ali [00:28:37]: It the number, likeVibhu [00:28:38]: No, I' always look for inverse scaling laws.Philip [00:28:40]: Yeah.Ali [00:28:40]: Yeah.Vibhu [00:28:40]: This is something I learned from Noam Brown, where like things that normally act in one direction sometimes do.Philip [00:28:45]: Well, technically when you run a benchmark, because these models are deterministic, sometimes your,Ali [00:28:52]: YeahPhilip [00:28:52]: NVFP4 quant is like, two basis points higher than yourAli [00:28:56]: No, it's noise. It's noise.Philip [00:28:57]: Yeah, exactly. I'm like, yeah, it's, it's within. That's why I always say within margin of error.Philip [00:29:01]: And I stopped saying that because everyone assumes that what is, well, within some margin of error, we're barely inside of that to the worst, so we're saying. But yeah, sometimes it's just like, gives you a higher output score. But like Ali said, that's noise. To my knowledge, you're not necessarily making the results better. You're just trying to, again, like keep your fidelity as close to 100% to the original model.Layer Selection, KL Divergence, and Better QuantizationAli [00:29:27]: There is, to your point, research that we did on MP. I don't know if you are able to pullPhilip [00:29:31]: YeahAli [00:29:32]: A tweet we did. One of our research interns, Joshua, I think it's a tweet on how we have 20% better quantized GLM-5.2 than NVIDIA. Essentially what we found throughout like this month research is, okay, quantization is a lossy. It's. You're compressing the data from, occupying 16 bits to occupying, four bits, for instance. And so you're losing some information, and you're trying to minimize that. And so when I say that I'm gonna quantize the model, my job becomes how do I find the layers that I can quantize, and how to find the layers to not. For instance, with image models, I don't quantize modulation layers, and I don't quantize out projections because those two are. Like out projection is what you see as the user. Modulation is what the model sees or understands. Right, exactly. And so to his paper, do you have the. It doesn't have the. Yeah. It's a long paper. I don't know if I can findVibhu [00:30:25]: If there's a part to search or it's probably in the thread.Ali [00:30:28]: It's probably in the thread.Vibhu [00:30:29]: Yeah.Ali [00:30:29]: But the long and the short is it is very possible that quantizing more of the model makes the results. Like if I have a model that I quantize layers one, five, and 10, and another model where I only quantize layers one and It is possible that the model in which I quantized more information is going to perform better because the quantization errors have canceled out. And so what Joshua showed in his mathematical proof where he had like a verifier in, is that you can predict which layers are going to have quantization errors that will cancel out with each other, and you choose to quantize those layers. And so the result of doing this mathematical quantization is you end up with a model that's 20% more quantized than another provider, so you get 20% more throughput of it because there's more layers than running an NVFP4, and your quality is better than that other quant because the layers that you chose to quantize have their errors cancel out, like one layer skewed to the right one layer skewed to the left, one layer skewed to the right. Your final logits distribution is more similar to the original distribution of the model, so you have better fidelity. And so the way we proved this was with KL divergence. So instead of just scoring on the benchmarks, we scored the KL divergence between the logit distribution of the quantized model and the logit distribution of the original full precision model, and we showed that with this technique we get. If your probability distribution on the logits which token it wants to select is more of the same as the original model, you're probably gonna end up staying true to the original model. So yeah, so it seems like previously before this, it seemed like the industry was, well, the more you quantize, the worse it's gonna be, ‘cause the more loss you introduce. That's not exactly, not necessarily true. So yeah, doesn't improve it, but can cancel out.Philip [00:31:57]: I think it might be this, but reminds me a good bit about pruning where you can prune off certain layers.Philip [00:32:03]: But very interesting. Didn't know this was a whole paper you guys put out.Ali [00:32:06]: It's. Fun fact, it was originally 72 pages, this paper, and then we decidedPhilip [00:32:11]: WowAli [00:32:11]: We can't tell. We couldn't release it. So it's now 45.Swyx [00:32:15]: Still 39 pages, so very substantive. We talked about evals and all these things and, like what's possible in terms of speedup? Like it's like probably like the numberInference Speedups and BenchmarkingSwyx [00:32:25]: Thing that people do wanna care about, and it's something that you wrote about in your post. Like official API is 70 tokens per second, and you push it up to 90. Is that like a normal thing?Philip [00:32:36]: So what's cool about working in inference, the reason that I think inference is going to be a useful place to do engineering for a long time, is that if you look at highly optimized domains like, say, finance, if you're in finance, you measure how much better you got in basis points. It's like, “Oh, I got five basis points better, like twentieth of 1% better,” that's huge news because everything is so optimized. When we publish optimizations, it's 20%, it's 100% it's 200%. So there's still probably like a lot further to go, honestly. Like you'll, you'll know that inference is pretty much solved when researchers start publishing about how they got 1% faster at something.Swyx [00:33:19]: Which by the way, because I am from the finance background, in the ‘70s, that was the margin at the time. When you did quantitative finance research, you would findAli [00:33:27]: And like 20%, tens of percent.Swyx [00:33:29]: That's. Yes.Philip [00:33:29]: Yeah.Swyx [00:33:30]: And now it'Philip [00:33:31]: Tiny fractionsSwyx [00:33:32]: For those people interested, look up Andrew Lo's paper. He had a really interesting illustration of quant, stat arb, distribution, narrowing down from like those kinds of 20% differences in the ‘70s, down to nothing today, which is very cool.Philip [00:33:48]: Exactly, and we're at the beginning of the same type of thing. Now benchmarking is hard. I think anyone will tell you that, and benchmarking provider speeds is hard because there's so many variables that go into it. What hardware are you using? How much load do you have on the system? What's the exact nature of the prompts and input and output sequence lengths? All that stuff. But overall, when you start stacking these improvements, you're looking at multiples. You can look at it. The most common form, of course, is TPS, tokens per second, which is bad naming by us in the industry, ‘cause there's two tokens per second. There's tokens per second, the throughput number, and the latency number.Ali [00:34:31]: TTMT, yeah.Philip [00:34:32]: Like total tokens per second out of the, out of the GPU as a throughput number. Most people only care about tokens per second as the latency number, which we should call ITL, intertoken latency, but we don't.Philip [00:34:44]: Anyway, so you can imagine a standard API without many optimizations for a 1 trillion parameter model operating somewhere in the 30 to 50 tokens per second range for reasonable traffic profile. And we generally see the goal of, pushing to 10X that. But, not necessarily day zero, but by stacking enough optimizations, if you have, say like four optimizations, each of which doubles performance. Or sorry, three optimizations, each of which doubles performance, then you stack that up, that's an 8X gain. That's the order of magnitude that we're working with in this space. We're trying to make things substantially faster, not just go from like 70 to 90.Swyx [00:35:38]: Are you saying you've. You have done that?Philip [00:35:40]: So let's say you have as a reasonable baseline, 30 or 40 tokens per second. You can achieve 10X that. So like on GLM-5.2, if you run it unquantized, perhaps on H100s even, and you're just using an off-the-shelf inference engine with no particular optimizations, no speculator, nothing extra around like KV routing, no disaggregation, you're, you're probably, yeah, looking at that like 30 to 40. You think that's like a reasonable baseline?Swyx [00:36:12]: Right. Right.Philip [00:36:12]: To get to something like 10X, there's a lot of trade-offs that you're making. If we're running at more like a 300, 400 tokens per second range, you are using the best hardware possible. You have a optimized speculator. You have done all of your quantization work. You are Seeing a pretty high cache hit rate. You are running with a reasonably small batch size and a parallelism configuration that is tuned for latency versus throughput, but it is possible. So the spreads that you see if you, like, go on artificial analysis or you go on OpenRouter and you look at, the worst provider to the best provider, oftentimes can hit that range. 10X is of course very aggressive. It's oftentimes maybe more of a four to six times improvement. But that's the performance that makes us really excited, is when we can get these huge gains, not just go from 70 to 90 tokens.Stacking Optimizations: NVFP4, Speculation, and DisaggregationAli [00:37:19]: It's also, like, hardware dependent. Like, ifPhilip [00:37:20]: YeahAli [00:37:20]: If you have a thing where you're serving it on just, like, a node of H100s and then you throw, like, you shard the model across, like, four nodes of B200s. Like, you can definitely increase the speed with just throwing more hardware at it. Like, normalizing for the same exact hardware and the same number of GPUs.Philip [00:37:35]: Yeah. Then you're looking at, like, a two to 4X improvementAli [00:37:38]: Right. RightPhilip [00:37:38]: Depending on the inference optimizations. So yeah, it's. Some of it's, what's the call, and some of it's who's the driver.Vibhu [00:37:46]: If you break down the two to 4X, say the example is run GLM-5.2Ali [00:37:51]: YeahVibhu [00:37:51]: On B200sAli [00:37:53]: YeahVibhu [00:37:53]: Single node, right? What's, like, the cost trade-off for effort to get, like, the last bit of juice out versus what should people just think of, right?Ali [00:38:01]: Spectre quantization. Yeah.Vibhu [00:38:03]: Spectre quantization.Ali [00:38:04]: That's, that's, that's like 95%. LikeVibhu [00:38:06]: And how far does that get you? And how easy is that for the average person to do? So say right I wanna throw the weights of GLM-5.2 on a node of B200s, how easy is it to find speculative decoder- decoder model or already quantized model? How much work goes into it?Philip [00:38:23]: If you're doing it up front, it's quite a lot of work. If you're doing it today, there's going to be people who have published things that you can just, you can just grab some NVFP4 weights. You can grab a speculator. Yeah, if we're thinking about, like, what are the 2Xs we're stacking, going from, BF16 to NVFP4 is, it's not quite a 2X, right? It's like. I think it's about, like, 30 to 40%, from 16 to 8, and then another 30 to 40% multiplied from, 8 to 4. So that doesn't quite get you a 2X, but, like, roughly a 2X. Speculator, roughly a 2X. Disagg on top of that if you're able to get enough hardware and put enough traffic through it, another roughly a 2X. And then you add in some, double-digit percent increase from having just a better runtime with, the latest kernels and stuff behind it. And that's how it stacks up.Ali [00:39:21]: YeahPhilip [00:39:21]: So building each of those, like, building the, quantized weights is, for someone who really knows what they're doing, hours to days of work. Building the speculator, again, like, hours to days of work. And the, disagg setup, hours to days. Well okay, but like once you haveAli [00:39:39]: Once set up. Once set up. YeahPhilip [00:39:40]: Yeah, getting disagg working for the first time, I'm saying, of course, is very difficult.Philip [00:39:44]: The marginal implementationAli [00:39:48]: Like, if you're just grabbing, like if you are a person, like just a normal consumer who has access to, like, a node of B200s and you're wondering, “How can I just host it myself?” You don't need to quantize the model yourself. There's always gonna be, like, an open source quantized checkpoint. NVIDIA's gonna push one out if no one else does. You. Usually, the providers will have their own spec dec that they've trained as well. You don't need to train your own spec dec. You can just use that as well.Philip [00:40:09]: Yeah. Like, GLM-5.2 has its own MTP.Ali [00:40:13]: Right. Right.Vibhu [00:40:14]: What's multi token prediction?Philip [00:40:15]: Yes.Ali [00:40:16]: I'm justVibhu [00:40:16]: Can you explain that?Ali [00:40:16]: I'm just an expert.Ali [00:40:18]: I can do it for you in case I get it wrong?Vibhu [00:40:20]: No.Vibhu [00:40:21]: Yeah, you should correct if we're wrong, but their multi-token prediction can be used for self-speculative decoding.Ali [00:40:27]: I'm not sure. I'm not gonna correct that.Vibhu [00:40:28]: Okay. I'm semi-confident in thatAli [00:40:30]: Okay. YeahVibhu [00:40:30]: But someone can check. But it's useful to paint the story of, okay, not just the average person, but say a company wants to switch from serverless inference I wanna throw this up on. I wanna rent some GPUs, throw it up. These are the steps you take to do significantly faster than just put it behind vLLM.Ali [00:40:48]: Right.Vibhu [00:40:49]: I was waiting for a mention of Dynamo.Vibhu [00:40:51]: I feel like, that's supposed to be the baseline that you measure against.Dynamo, KV Routing, and Disaggregation ToolkitsPhilip [00:40:55]: I would think of Dynamo as less of a box system and more of a toolkit for building with. So when we talk about doing aware routing, when we talk about doing KV offloading, when we talk about doing, PD disaggregation, Dynamo fundamentally is. By the way, Dynamo is an open source library from NVIDIA.Ali [00:41:17]: We've done a pod with KylePhilip [00:41:18]: OkayAli [00:41:19]: Kyle Cranin.Philip [00:41:19]: Cool. So then your listeners know then that it supports all the different inference frameworks. And it is multi hardware, which is interesting.Ali [00:41:28]: But it's just a router, it's not like an optimizer layer.Philip [00:41:30]: Yeah. All it does, like, what Dynamo is good at, it is a library for moving information around your cluster, around your hardware. So if you have, KV cache on one place and you need it to be somewhere else, Dynamo coordinates NIXL for you to move that around.Philip [00:41:49]: That doesn't mean that, like, out of the box, you just say, “Pip install Dynamo,” and then you get, like, a massive performance speed up. It's more of a developer toolkit.Ali [00:42:01]: Yeah. I would have said it would. It comes with a set of defaults that you can then swap out.Philip [00:42:06]: It does. If the industry at large, I think, was, like, rolling out all of these deployments, standard, then I think it would be, like, a credible baseline. But, we've got to, we've got to benchmark against, like, what we're seeing in the wild.Speculative Decoding Methods: Medusa, EAGLE, n-Gram, and Spec-SpecVibhu [00:42:23]: I did wanna talk a little bit more about PD disagg, because that is probably, like, number three after quantized and speculative decoding. In your book though, I was just gonna pull out the book.Philip [00:42:31]: Yeah.Vibhu [00:42:32]: Like section 522 on Medusa, 523 on EAGLEPhilip [00:42:35]: YeahVibhu [00:42:36]: 524 on gram.Philip [00:42:37]: It's 55, would be disaggregationAli [00:42:42]: Yeah. Well, no, I just wanted to dwell a little bitPhilip [00:42:44]: YeahAli [00:42:44]: The other. Like, so what do you choose to include? What do you choose to not to include? Because there was all these other techniques.Philip [00:42:51]: Yeah.Ali [00:42:51]: Are these still relevant? Because I think they came out, like, a year and a half ago maybe.Vibhu [00:42:55]: Medusa is quite old.Philip [00:42:56]: Yeah, Medusa's old.Ali [00:42:58]: It was old.Vibhu [00:42:58]: But is it in the book as a good, here'sPhilip [00:43:01]: BaselineVibhu [00:43:01]: Baseline vanilla understand it?Philip [00:43:02]: Like you should know this.Vibhu [00:43:03]: Like I read the paper, I'm like, “ it makes so much sense.”Philip [00:43:05]: Yeah.Philip [00:43:05]: So with the book, I had a couple goals. One was to give people just a working vocabulary for the space as a whole, and the other was to give them some intuition about how each of these techniques works. As I mentioned in my AI Engineer talk, which is the first public addendum to this, the speculation space has moved much faster than everything else. So yeah, even at the time that I wrote the book Medusa, I very much included as a way for people to understand how the space evolved rather than what the most modern technique is. And now of course, there's DFlash, dSpark. There's, there's newer techniques even than EAGLE, although EAGLE is still very commonly used.Ali [00:43:51]: SpecSpecta.Philip [00:43:52]: Yes. Speculative decoding.Vibhu [00:43:54]: What canAli [00:43:56]: Oh, it's a paper by Tri Dao and it's like, it's doing speculative decodingVibhu [00:44:00]: HuhAli [00:44:01]: For the speculative decoder.Philip [00:44:02]: Oh, in spec- oh my God.Ali [00:44:02]: It's literally just an another. It's like, yeah, that's the most simple way to explain it, and it seems like he got trivial speed ups there. But it seems that the complexity with training, it's almost like in our mind at least, it's almost as complex as training GANs. Like it's like a very delicate balance and oftentimes you, it's just but yeah, it's literally speculative decoding on speculative decoding.Vibhu [00:44:21]: Speculative.Ali [00:44:22]: Yeah. We saw this paper.Vibhu [00:44:24]: It's interesting, right?Ali [00:44:24]: Yeah.Vibhu [00:44:24]: I wouldn't even expect it to be very particular to train, I wouldAli [00:44:29]: Right.Vibhu [00:44:29]: The naive part of me is like, okay, train speculative decoder.Ali [00:44:32]: But like, and it makes sense, like the whole idea of speculative decoding is you. It's like, it's like almost like the iPhone auto predict version but for a normal model, right? Like you're just, you're just, generating three tokens and you're like, okay, I'll do prefill on them. And so you save those three turns for your original model. Now your speculative decoder is doing three turns of auto regression, so why not just have an even smaller model?Ali [00:44:53]: The other question there is what are the size of speculators? So say forPhilip [00:44:58]: Right. It's like a billion parameters.Ali [00:45:01]: Like for MiniMax, it's. Yeah. It's like one layer. It's like one 60th of the original model usually.Philip [00:45:06]: Yeah. I think we should do a paper when we get back to the office.Philip [00:45:10]: SpeculativeAli [00:45:11]: SpeculativePhilip [00:45:11]: Decoding.Ali [00:45:13]: No, it's, it does seem like how, when do you stop? But then it also seems like if you're able to train spec-spec decode for instance, right? Like if you're able to have a small model that is accurately predicts what the intermediate speculator is gonna predict, that is able to predict what the original target model's gonna predict, then why not just use that smallest model directly, right?Vibhu [00:45:34]: Yeah. This isAli [00:45:35]: Like it seems likeVibhu [00:45:35]: Adjacent to the routing problem.Ali [00:45:36]: Right.Vibhu [00:45:36]: Yeah.Ali [00:45:36]: Right.Philip [00:45:37]: The thing with speculators is one of the practical constraints on using them is that you do have to run a small model on the same hardware that you're running the big model on. There is a orchestration and resource competition problem inherent in that, and that is one of the constraints on speculation in general, is that draft tokens cost resources to create and cost software complexity to manage. And so if you have like infinitely recursive speculators, you add in quite a bit of that complexity on the actual implementation within the inference engine as well, not just in the training process.Vibhu [00:46:17]: I was gonna say, I would wonder if you could do similar, like distillation and pruning of, it's the same thing, it's just a model. Can we not just distill a lot of the weights, quantize the speculator, out of my domain? The question that also comes up is, this is all for big server workloads, right? How much of this applies to, say I have this MacBook, I wanna run Gemma really efficiently. Similar problems, not the same?Local AI vs. Data Center InferencePhilip [00:46:45]: Pretty different. I talked to Selo, about this on his podcast a couple weeks ago. The difference between inference engineering for the data center and for production workloads versus inference engineering for local AI, is that we start with fundamentally like different constraints and different goals. With local AI, it's how do I fit this model onto my hardware and then make it less dumb? And with data center influence, it's how do I load this model and then make it less slow? And we care about less dumb, and they care about less slow. But the local AI inference engineering ecosystem, I think has a lot for us to learn from in the data center space. They are experts in various forms of quantization, including dynamic quantization that we just don't touch, in the pruning, in the distillation, in the, layer removal. There'Ali [00:47:42]: Layer removal matters less.Philip [00:47:43]: Yeah. There'Ali [00:47:44]: No one loves pruning really.Philip [00:47:45]: Yeah. Well, but the, but they doVibhu [00:47:46]: Which is surprising, right? But that's, that's a whole different thingPhilip [00:47:48]: Just to fit something on the laptop.Ali [00:47:50]: Right.Philip [00:47:50]: So yeah, it's a, it's an interesting, it's an interesting space. Not necessarily that like their techniques make sense for us to do in the data center, because we have different resources and different goals, but more that the process as well as the openness of that field is something to, admire.Ali [00:48:12]: Yeah. Like to your point, like, certain optimizations that would. Like for instance, Turbo Quantum Sharper, like it made such huge hype on that and we did like a whole deep dive on Twitter and like said, what is it? How does it work? Why is it good or not? And it took off and it was implemented on local devices because your memory bandwidth is so slow on like a MacBook, for instance. But try putting the same thing on like an NVIDIA GPU on a B200 Turbo quant would not be. Like, it would not be used. Like, NVIDIA - Like, NVIDIA made it clear that this is not a good optimization, and we've seen it firsthand where the overhead of doing dequantization, quantization of, in the kernel itself with turbo quant kernel, each end is much slower than the time that you save from doing the bandwidth. ‘Cause on the B200s, you have like 3.5 terabytes per second. You don't need decrease the storage that much. You don't need to do, FP4 KV cache. You don't need to use a requant. There's, there's, there's better optimizations to be made. But on Edge devices, it's extremely important, it's extremely useful. So, seems to be, like, different optimizations there, but then they're all uniquely combined with like all you wanna quantize the model, you wanna do speculative decoding, like certain common prefixes with bothPhilip [00:49:18]: Principles.Ali [00:49:19]: Yeah, exactly. Exactly. Exactly.Philip [00:49:20]: They also do a lot of work on, model parallelism, especially over, heterogeneous topology, where you have, some sparks and they are wired together with, Ethernet, DGX sparks.Ali [00:49:35]: Yeah, this is the Exo Labs guys.Philip [00:49:36]: Yeah. You have, a nu

Whats gooooood my beautiful ppl

lyrics by Jewel Diamond Taylorwww.linktr.ee/JewelDiamondTaylorcashapp $grayefulJDTzelle Jewel Taylor use email Jewelmotivates@gmail,com100% supported by our subscribers LIKE YOU.Support the show

https://JeweldiamondTaylorcashapp $grayefulJDTzelle Jewel Taylor use email Jewelmotivates@gmail,com100% supported by our subscribers LIKE YOU.Support the show

Paul Oakley is an old friend of The River. He is a Christian gospel singer, worship leader, and songwriter. Some of his songs include “It's All About You”, “Because of You”, “Jesus Friend of Sinners”, “Who is there Like You”, “Be Lifted Up”, and more recently “Father Me and “Crimson Stream”.

lyrics by Jewel Diamond Taylor100% supported by our subscribers LIKE YOU.Cashapp $gratefulJDTZelle Jewel Taylor (JewelMotivates@gmail.com)Support the show

https://JewelDiamondTaylor100% supported by our subscribers LIKE YOU.Cashapp $gratefulJDTZelle Jewel Taylor (JewelMotivates@gmail.com)Support the show

You can't quite put your finger on it. Nothing terrible has happened. But you just feel out of sorts. Disconnected. Like you're going through the motions but not really present. Like You've lost your rhythm. Maybe you're more irritable than usual. Maybe you're struggling to focus. Maybe you just feel heavy, tired, not quite yourself. And when you're in that space, it's easy to think you need some big overhaul. A complete life reset. A dramatic change. But here's what I've learned: sometimes you don't need a complete overhaul. Sometimes you just need small resets. Little adjustments that help you feel like yourself again.So today, we're talking about simple habits, not complicated, not expensive, not time-consuming, that can help you reset when life feels off.

BMS Episode 123/The Throwback SessionsLet's take this ride back to the ‘90s with just a sprinkle of the 2000sThis era of where hip hop blended with r&b takes us to a few of those jams that made your head snap back & forth!This episode showcases Ashanti, Amerie, Mary J. Blige, Jodeci, Ginuwine, and many more!PLAYLIST1. Hold On/En Vogue2. Keep It Comin'/Keith Sweat3. Freak Like Me/Adina Howard4. Full Moon (Cut Father & Joe Remix)/Brandy5. Bug-A-Boo (H-Town Screwed Mix)/Destiny's Child6. 1 Thing f/Eve/Amerie7. Gangsta/Lil' Mo8. Feel So Good/Ashanti9. Keepin' My Composure/H-Town10. Show Me The Way/Bell Biv Devoe11. I Miss You (Come Back Home)/Monifah12. Forever My Lady/Jodeci13. Like You've Never Been - Get on Up Remix f/Keith Sweat/Kut Klose14. Differences/Ginuwine15. Sock it 2 Me f/Da Brat/Missy Elliot16. The Booty Affair/Ralph Tresvant17. MJB Da MVP/Mary J. Blige

Episode 101: Today I talk about the deeper reality women are waking up to when it comes to marriage, the systems we've been living inside of, and the quiet cost of self-abandonment that so many of us were taught to normalize. And I name the double bind that keeps so many women stuck. The place where choosing yourself means losing love, and staying means losing yourself.At the heart of this episode is something I've been building behind the scenes this year. A framework I'm calling CORE. Not as another set of tools to try, but as a way to slow down, get grounded, and actually understand what's happening beneath the surface so you can stop spinning and start seeing clearly.We begin with connection.Not to your partner, but to yourself.I talk about what it really means to have self-connection that is steady enough to hold when things get hard. When there is disapproval. When there is loss. When the life you've built no longer fits.Because whether you stay or go, this is the foundation everything rests on.And through the lens of Wicked, I explore what it looks like to choose yourself when it costs you something. To step out of conditional love. To face the grief of becoming someone who can no longer go back to who she was.If you are in that in-between space, where something inside you has shifted but you don't yet know what comes next, this episode will meet you there.Not with answers.But with grounding, clarity, and a deeper return to yourself.Show Notes:Subscribe to Stay or Go on SubstackShe said, “I'm No One's Favorite Person” - Substack Post“The Men Are Not All Right”...Right? - Diabolical Lies PodcastEpisode 65: “What You Were Promised” — The History and Hidden Design of Straight Marriage With Quinn Otrera - Part 1Episode 66: "The Cost of the Lie": Why You Feel Numb, Lonely, and Like You're Too Much in This System With Quinn Otrera - Part 2Strong Ground - Brene BrownThe Tragedy of Heterosexuality - Jane WardLouis Theroux: Inside the Manosphere - Netflix DocumentaryKeep Sweet: Pray and Obey - Netflix DocumentaryWicked - MovieWicked: For Good - MovieText 90MIN to 33777 to book a 90-Minute Session with me. ✨Text STAYORGOCOMMUNITY to 33777 to join the community. ⚡️Text EMAILME to 33777 for the free tarot guide using ChatGPT.

James Houlahan "I Believe In You" - On A Wing www.jamieanderson.comOdd Marshall "On My Way" - Seconds www.oddmarshall.com The Plastic Pals "Get To The Point" www.theplasticpals.com Drivin N' Cryin "I Used To Live Around Here" - Live The Love Beautiful www.drivinncryin.com The Clarks "Hey You" - Between Now And Then www.clarksonline.comTodd Snider "Spreadneck Speedball" & "Roman Candles" - Live: Return Of The Storyteller www.toddsnider.netChip Taylor "The Dutchman Blues" & "Be Kind" - **** All The Perfect People *****************Jamie Anderson "This Old" - The Curves Are Still There www.jamieanderson.comAimee Van Dyne "Owning Up" - Broken Love Songs www.aimeevandyne.comMarian Mastrorilli "Patience" Sea Salt & Sawdust" www.marianmastrorilli.comJaimee Harris "Like You" - Boomerang Town www.jaimeeharris.comDan Bern with Jane's Great Dane "Clay County" - Starting Over www.danbern.com*************Jennifer Tefft & The Strange "A Little More" www.jennifertefft.comJon Langford "I Felt My Courage Fall" - Four Lost SoulsKris Delmhorst "Hanging Garden" - Long Day In The Milky Way www.krisdelmhorst.com Britt Connors "Moonlight" - Longitude www.brittconnors.comDanielle Miraglia "Walkin' Blues" - Bright Shining Stars www.daniellem.comDan Whitaker "Oh Cayenne" - I Won't Play By Your Rules www.danwhitaker.comTwayn "Spine" - www.twayn.co.uk

“Gov Gavin Newsom To Atlanta Audience: “I’m Like You, I’m A 960 SAT guy” Gavin Newsom is facing major backlash while out promoting his new book where he discusses his dyslexia. Newsom told an Atlanta audience that he was like them, and no better than them because he was a “960 SAT guy…. You’ve never seen me read a speech because I cannot read a speech.” Several people have strong reactions to Newsom’s comments, including Nicki Minaj, who said his way of bonding with black people “is to tell them how stupid he is & he can’t read.””See omnystudio.com/listener for privacy information.

“Gov Gavin Newsom To Atlanta Audience: “I’m Like You, I’m A 960 SAT guy” Gavin Newsom is facing major backlash while out promoting his new book where he discusses his dyslexia. Newsom told an Atlanta audience that he was like them, and no better than them because he was a “960 SAT guy…. You’ve never seen me read a speech because I cannot read a speech.” Several people have strong reactions to Newsom’s comments, including Nicki Minaj, who said his way of bonding with black people “is to tell them how stupid he is & he can’t read.””See omnystudio.com/listener for privacy information.

“Gov Gavin Newsom To Atlanta Audience: “I’m Like You, I’m A 960 SAT guy” Gavin Newsom is facing major backlash while out promoting his new book where he discusses his dyslexia. Newsom told an Atlanta audience that he was like them, and no better than them because he was a “960 SAT guy…. You’ve never seen me read a speech because I cannot read a speech.” Several people have strong reactions to Newsom’s comments, including Nicki Minaj, who said his way of bonding with black people “is to tell them how stupid he is & he can’t read.””See omnystudio.com/listener for privacy information.

“Gov Gavin Newsom To Atlanta Audience: “I’m Like You, I’m A 960 SAT guy” Gavin Newsom is facing major backlash while out promoting his new book where he discusses his dyslexia. Newsom told an Atlanta audience that he was like them, and no better than them because he was a “960 SAT guy…. You’ve never seen me read a speech because I cannot read a speech.” Several people have strong reactions to Newsom’s comments, including Nicki Minaj, who said his way of bonding with black people “is to tell them how stupid he is & he can’t read.””See omnystudio.com/listener for privacy information.

How should investors react when markets get volatile—and headlines get loud? In this episode of The Market Moment, Matt, John, and Lee break down what volatility really means, why it isn't always a bad thing, and how long-term investors can stay disciplined when fear and greed start creeping in. The conversation covers why volatility is a normal part of investing, how emotional decision-making often causes more damage than market pullbacks, and why “staying the course” only works if your portfolio is built for your true risk tolerance. The team shares real-world examples—from tariff scares to market recoveries—to show how panic selling can cause investors to miss long-term gains. They also explore portfolio rebalancing at market highs, diversification beyond U.S. stocks, and why today's shift from growth to value stocks may actually be a healthy sign for the broader market. From midterm election years to the January Barometer, the episode provides historical context without falling into market-timing traps. Key topics include: ➡️ What market volatility really means (and why it's often misunderstood) ➡️ Fear vs. greed and how emotions impact investment decisions ➡️ Why staying invested matters more than timing the market ➡️ Rebalancing strategies during record market highs ➡️ Risk tolerance vs. risk capacity—knowing what you can truly handle ➡️ Midterm election years and historical market volatility ➡️ Diversifying beyond U.S. equities and across market sectors ➡️ Growth vs. value stocks and signs of a broadening market ➡️ Why ignoring market “noise” is critical for long-term success   The episode wraps with a discussion on market leadership shifting away from the Mag 7, what that means for investors going forward, and why building a portfolio you can stick with—through good markets and bad—is the real key to long-term success. Enjoyed the episode? Don't forget to:

It's Time Ram. the Doctor Who podcast that interrupts Graham Norton and takes on the chewy, difficult biscuits - all for you! This time, we insert Patrick Troughton into 'The Time of Angels/Flesh and Stone', now better known as 'The Statues That Don't Like You'. They'll try anything in the 60s. So join us for Diana Rigg, The Likely Lads, Shady Troughton and Cybermen by the bed! And weeping angels, obviously.

Part 2: There's Someone I'd Like You to Meet: Baruch - Sermon 01-25-2026 by St. Simons Presbyterian Podcast

Market volatility, geopolitical headlines, and nonstop news can make investing feel overwhelming — even when long-term fundamentals haven't changed. In this week's Market Moment, Matt and Lee unpack a sharp market sell-off driven by global headlines, investor sentiment, and geopolitical uncertainty. They discuss why markets reacted so strongly, what was really behind the “sell America” trade, and why short-term volatility is often a normal — though uncomfortable — part of investing. The conversation then shifts into a deeper discussion around one of the biggest challenges investors face today: investing feels easier than ever, yet managing investments well is harder than ever. Matt and Lee explain why access to investing has never been simpler, but building and sticking with the right portfolio requires discipline, planning, and emotional control. They also break down why comparing every portfolio to the S&P 500 can be misleading, how diversification plays a critical role in risk management, and why long-term planning should evolve as your financial situation changes. Key topics: ➡️ Market volatility and recent sell-offs ➡️ Geopolitical headlines and investor sentiment ➡️ Interest rates, treasuries, and mortgage impacts ➡️ Why the S&P 500 isn't the right benchmark for most investors ➡️ Diversification, risk management, and portfolio construction ➡️ Investing psychology: fear, greed, and emotional discipline ➡️ Warren Buffett's perspective on risk and preservation of capital ➡️ How AI and technology are changing investing and financial advice The Market Moment Headlines: ➡️ Global market reaction to geopolitical news ➡️ U.S. dollar, treasury, and crypto sell-offs ➡️ What to watch coming out of Davos  

Whether it's a spouse, our children, our parents, siblings, friends, or coworkers, we don't have a say in whether or not they choose to love us. And whether they love us or not, it says nothing about us and everything about them. It also doesn't say that they are wrong or bad, just that they are a human with their own preferences and wants and desires, and maybe we're just not a good match for them. And that's okay. Learning to make peace with others not loving us is a huge part of growing up into middle-age. Thanks for listening!  Want to learn more about this concept?  Check out these podcasts: #127 Our Worth & Our Works on Apple on Spotify #230 People-Pleasing on Apple on Spotify #260 Your Lovability and Your Love Ability on Apple on Spotify #270 People-Pleasing & Kindness - What's the Difference? on Apple on Spotify #272 Stay In Your Lane on Apple on Spotify #293 Dating in Mid-Life on Apple on Spotify #304 Personalities, Preferences, and Perspectives on Apple on Spotify #331 Sense of Self on Apple on Spotify #332 Sense of Self – It's All In Your Head on Apple on Spotify #333 Sense of Self and Dating on Apple on Spotify #334 Sense of Self and Marriage on Apple on Spotify #349 It's Okay If People Don't Like You on Apple on Spotify Are you curious about what it would be like to work with me? Here are three options: Group coaching classes are available at tanyahale.com/groupcoaching Talk with Tanya is a free monthly webinar where you can ask me anything and we can have a great discussion.  You can sign up for that at tanyahale.com/groupcoaching Interested in a free 90-minute coaching/consult with me?  Access my calendar at: https://tanyahalecalendar.as.me/

TRACKLIST 0:00 Donald Byrd - I Feel Like Loving You Today 4:00 Maze - While I'm Alone (24-Bit Digitally Remastered 04) (Feat. Frankie Beverly) 7:00 Marvin Gaye - Come Live With Me Angel 11:30 Michael Franks - One Bad Habit 13:30 Roy Ayers Ubiquity - Everybody Loves The Sunshine 18:00 Booker T. Jones - The Best Of You 19:00 Randy Crawford - You Might Need Somebody (WSM UK Edit) 26:30 Minnie Riperton - Here We Go 32:00 Light Of The World - No 1 Girl 36:00 Ohio Players - Sweet Sticky Thing 38:30 Ethel Beatty - It's Your Love - Original 42:00 Al Johnson - I'm Back for More 46:00 Leroy Hutson - Nice and Easy 49:30 LaBelle - Moon Shadow (Edit) [2006 Remaster] 55:30 LaBelle - Moon Shadow 57:30 Eighties Ladies - Turned on to You 1:01:00 Archie Bell & The Drells - It's Hard Not to Like You 1:04:00 Ray Parker Jr. - A Woman Needs Love (Just Like You Do) 1:06:30 Leon Haywood - I Want'a Do Something Freaky To You 1:11:30 Rockie Robbins - You And Me 1:15:30 Leo's Sunshipp - Give Me the Sunshine 1:20:30 Major Harris - Loving You Is Mellow (LP Version 2) 1:24:30 Keni Burke - Risin' to the Top 1:28:00 Diana Ross - Brown Baby 1:31:00 Ashford & Simpson - Love It Away 1:34:30 The Dells - Ain't It A Shame 1:38:30 Breakwater - Work It Out 1:43:00 Marlena Shaw - Save the Children 1:46:00 Faze-O - Riding High (2006 Remaster LP Version) 1:50:30 Marlena Shaw - Look at Me, Look at You (We're Flying) 1:54:00 The Headhunters - God Make Me Funky 2:00:30 Michael Henderson - In The Night-Time 2:10:00 Yasuko Agawa - L.A. NIGHT 2:13:30 Fat Larry's Band - Act Like You Know 2:17:00 Pieces Of A Dream - Warm Weather (12" Version) 2:20:30 Tommy Stewart - Bump And Hustle Music 2:24:30 Billy Griffin - Hold Me Tighter in the Rain (7" Version) 2:28:30 L.A. Boppers - Give Me Some 2:37:30 Breakwater - Say You Love Me Girl 2:41:00 Skipworth - Thinking About Your Love 2:46:00 Skipworth & Turner - Thinking About Your Love 2:47:30 Hi-Tension - There's A Reason 2:52:00 Womack & Womack - Baby I'm Scared Of You 2:56:00 Maze - Twilight 3:01:30 Windy City Orchestra - Windy City Theme 3:03:30 Melba Moore - You Stepped Into My Life (John Luongo Disco Mix) 3:09:30 Steve Parks - Movin' In the Right Direction (Original Full Album Version) 3:15:30 Norman Connors and The Starship Orchestra - Stella 3:18:30 Brooklyn Express - You Need a Change of Mind 3:23:30 Cameo - She's Strange 3:26:30 Leon Ware - Why I Came to California 3:29:30 Sass - Much too much 3:35:30 Lesette Wilson - Caveman Boogie 3:40:30 Rome Jefferies - Good Love 3:45:00 Kinky Foxx - So Different 3:50:30 Loleatta Holloway - All About the Paper (Extended Version) [2017 - Remaster] 3:58:00 Lillo Thomas - I'm in Love 4:00:30 Patrice Rushen - Number One 4:05:00 Dimitri from Paris - Barely Breaking Even (Unmixed) 4:14:30 Lisa Lisa & Cult Jam - I Wonder If I Take You Home 4:26:00 Coke Escovedo - I Wouldn't Change A Thing 4:30:30 Glenn Jones - I Am Somebody 4:36:00 Julia & Company - Breakin' Down 4:42:30 The Brothers Johnson - Stomp! 4:50:00 Earth, Wind & Fire - Let's Groove 4:54:00 Webster Lewis - BARBARA ANN 4:58:30 Gene Harris - Losalamitoslatinfunklovesong 5:03:30 Finis Henderson - Lovers 5:07:30 Leon Ware - Rockin' You Eternally 5:11:00 Lowrell - Mellow Mellow Right On 5:23:00 Chico Hamilton - Mysterious Maiden Funk, 70s, 80s, disco, soul, jazz funk, mix

Join hosts Thom and Kyle as they sit down with the creative minds behind Like You: A New Musical : writer/composer Tyler Milicic and composer/orchestrator Charles Ligus : for an in-depth, heartfelt conversation about bringing this original work to life.Like You tells the story of Evan and his new foster family as each person navigates themes of self-acceptance, love, and the meaning of found family. With 22 original songs and 14 named roles, it's a musical that's both expansive and deeply personal, offering something every listener can connect to.Four years after its initial conception, Tyler and Charles are nearing the finish line of their original concept album, recorded in top-tier studios with an incredible lineup of Northeast Ohio performers (and one standout drummer from across the globe). In this episode, they share the journey from early drafts to orchestrations to the final recording sessions, along with the challenges, surprises, and joy found along the way.Listen to the concept album recording on YouTube:https://www.youtube.com/playlist?list=PL_39HUoX3oc4ck_QmmNR_xXCkdq0Ak0-bA story about family, identity, creativity, and community — told by the artists who built it from the ground up. Tune in and discover the heart behind Like You.

Stop Entertaining Women Who Don't Like You and Respect You

In this episode of the Demystifying Mental Toughness Podcast, host David Charlton is joined by former professional footballer and coach, and current Assistant Loans Manager at Newcastle United, Peter Ramage, who pulls back the curtain on what it's really like for young players when they go out on loan. We talk about the often-unseen side of the loan pathway: adapting to new environments, dealing with being away from family, handling uncertainty and change, and the social-media comparison trap that many players fall into.  Peter provides real world insight from his time at clubs like Newcastle United and Crystal Palace and how versatility and flexibility becomes a mindset, not just a tactical attribute, and how building relationships and trust with teammates and coaches is absolutely key. Whether you're a footballer, coach or parent, this conversation throws light on how mental toughness emerges from more than just performance.  It's about mindset, adaptation, presence and communication. We also tie this back to themes we've covered before such as the 4 C's model of mental toughness (control, commitment, challenge, confidence) and creating psychologically safe and growth-focussed environments. >> Key Takeaways Adaptability is everything – Being able to thrive when you're out of your comfort zone (new club, new role) is a super-power. Comparison is the silent pressure – Young players often measure themselves against highlight reels on social media; learning to focus on your journey matters. Relationships build the foundation of success – Trusting teammates, coaches and the environment gives you the mental platform to perform and grow. If you enjoyed this episode, check out our previous blogs and podcasts on all things football, mental toughness and player development. For more on all things football or soccer psychology, check out these resources: Podcast Ep151 - Football Psychology: 50 Ways You Can Improve Your Performance Podcast Ep173 - How To Deal With Other People In Professional Football #BITESIZE Blog: The Psychology of Loan Moves: How Football Coaches Can Build Mentally Tough & Adaptable Young Players Blog: Footballers are People, Like You and Me Blog: Do You Start Matches with a ONE-NIL DOWN Mindset? Book Review: Soccer Tough 1 and 2 with Dan Abrahams   Connect with Peter Ramage ·         LinkedIn ·         Instagram Connect with David Charlton ·         Sign Up To The Mental Edge ·         Join David @ The Sports Psychology Hub ·         LinkedIn

THE BEST BITS IN A SILLIER PACKAGE (from Monday's Mike Hosking Breakfast) We Used to Like You. Now I'm Not So Sure/Don't Forget Your Roots/Also, Don't Go To Australia/There's an App for That/Never Have KidsSee omnystudio.com/listener for privacy information.

We're back with another episode, recorded live in front of parents LIKE YOU, with a panel of college coaches answering the key questions to the recruiting process. The panel consisted of: Ricky Garza - JUCO - St. Louis Community College Stephen Cavallo - Division 2 - UMSL Kris Bertsch - Division 1 - Lindenwood University From player profile, to emailing, to social media, to transfer portal, and more... we cover a lot! Recorded live at Lou Fusz Soccer, this one is loaded with info and more!!! Get your CHOOSE IT RIGHT Soccer Dad Pod discount here, and help your player organize, search, and connect to their best fit college for that next chapter in their playing careers! #ncaasoccer #soccer #collegesoccer #recruiting #playerprofile #pathway #stlouis Learn more about your ad choices. Visit megaphone.fm/adchoices

Hey there! It's Michael here, and welcome back to another Happy English Saturday Short, your quick tip for speaking English better.Today, let's look at two really common and super natural phrases you'll hear in everyday English: “You know what?” and “Guess what?” We use both of these when we want to grab someone's attention - usually before we share some news, an idea, or an opinion. They make your speech sound lively and conversational and they're kind of like how we say, “Hey, listen to this!”Like:  “You know what? I think I'm finally getting used to this cool weather.” Or: “You know what? I've decided to start going to the gym again.”And guess what? is even more playful. We use it when we're excited to share news or something surprising. Like:  “Guess what? I passed my driving test!”  Or:  “Guess what? My favorite band is coming to Japan!”When you use you know what or guess what, your tone matters. Both phrases sound best with energy and a rising intonation - it builds a little excitement before you say your news. So remember...you know what and guess what, are great for starting a story, sharing good news, or giving an opinion in a fun, natural way. And you know what? I think you're gonna sound even more fluent when you start using these in your conversations!Oh, and don't forget to follow or subscribe so you don't miss the next Happy English Podcast and next week's Saturday Short. Thanks for listening - and until next time, keep learning and keep it cool.Join my Podcast Learner's Study Group here: https://www.myhappyenglish.com/plsgVisit my website for over 3,000 free English lessons: https://www.myhappyenglish.com/My AI English Tutor is HERE 

In this captivating episode of 80s TV Ladies, hosts Sharon Johnson and Susan Lambert Hatem interview the legendary Cindy Fee, best known for singing the iconic theme song for 'The Golden Girls'. The conversation covers Cindy's extensive career, beginning with her professional singing at a young age, and her work with notable artists such as Kenny Rogers, Lionel Richie, and Dolly Parton.Cindy shares behind-the-scenes stories from her career in jingles, commercials, and studio work, as well as her experiences performing live. She also reflects on the enduring appeal of 'The Golden Girls', the impact of TV theme songs, and the evolution of the music industry. Cindy's anecdotes and insights offer a unique glimpse into the life of a versatile and prolific singer.00:00 Introduction and Hosts' Welcome00:32 Introducing Cindy Fee: A Musical Journey01:57 Early Beginnings in Music04:13 Moving to LA and Career Breakthroughs06:04 Recording Demos and Working with Diane Warren10:58 Family Life and Balancing Career12:57 Studio Work and Jingle Singing25:58 Golden Girls Theme Song and TV Music29:41 The Evolution of TV and Music Industry39:25 The Impact of AI on Performers39:58 The Role of Unions in Protecting Talent41:06 Misconceptions About Golden Girls Contributions41:25 Golden Girls Conventions and Fan Interactions42:53 A Career in Music and Jingles49:11 Memorable Collaborations and Advice for Singers59:20 The Emotional Connection of 'Thank You for Being a Friend'01:09:45 Future Plans and Final ThoughtsAUDIOOGRAPHYLearn more about Cindy Fee at CindyFeeSings.comFind Cindy at TikTok.com/@goldengirlfeeBe a part of Cindy Fee's new "Thank You For Being a Friend" music video. Learn more at her InstagramCheck out Golden Girls LIVE! This December in San FranciscoCOMMERCIALS:Hoover Nobody Does it Like You on YouTube.Wheaties What the Big Boys Eat on YouTube.Pontiac Ride Pontiac Ride on YouTube.The Golden Girls Streaming: Hulu, Disney+, PhiloPurchase: Apple TV,  YouTube, on DVD at EbayBook Recommendation - Golden Girls Forever: An Unauthorized Look Behind the Lanai by Jim Colucci. Find it at Harper Books. Visit 80sTVLadies.com for more info.Don't miss out. Sign up for the 80s TV Ladies mailing list!Help us make more episodes and get ad-free episodes and exclusive content on PATREON.

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I'm like "Just the water." There you go "Just the water." But anyhow I say all that to say the blue plate special of the day at McBee's whether you're eating healthy or not they got you covered 'cause you can do the chicken breast but today's Thursday the special is red sauce spaghetti and it is oh so good if you like spaghetti I'm not even a red sauce spaghetti fan I like alfredos- Really Okay and the chicken spaghettis and stuff But I will eat it here and there Like if somebody cooks it I'm not pushing it away But I did I wanted to try everything on the menu Yeah So I could honestly give you my my opinion on it Their red sauce spaghetti's great but if that's not your thing they do have um hamburger steak which is works great for keto They have chicken breast or country fried steak And of course the vegetables okra and stewed tomatoes black-eyed peas turnip greens rice and gravy side salad lima beans green beans mashed potatoes mac and cheese fried okra or fries So you know if you been doing this long enough you know you can create you a carb less plate lunch right there from McBee's And uh I I went a little half and half yesterday I did get the fried okra 'cause they have in my opinion the best fried okra in town It's hard to pass fried okra man It it it really is Let's uh let's take a call real quick before we jump into this conversation on the Mazda Jackson phone line Hey good morning you're on the air Good morning Clay Uh I was headed toward I-220 yesterday going to Industrial Drive take my son some lunch I live in Rankin County of course But on the way up there that going there is nothing but a junk It's trash and I was thinking since the fair was gonna be in town everybody was gonna clean up everything mattresses on the highway Uh it was just it was just unbelievable And where was that at 20 westbound going to I-220- Oh oh to Industrial Drive Oh oh yeah It was terrible Yeah it it's bad C- like of course I come through there every day and I'm just wildly disappointed I will say that at least up through the Ellis Avenue area there they do have the street lights working again Uh so kudos to MDOT for that Okay Okay but everything else it it was just terrible the fair will be here today and they would have everything cleaned up but no Ah it's unfortunate- So but hey what you know if you don't expect anything you won't be disappointed when you don't get it.That is true And I didn't expect nothing else from out of Highlands County But thank you Have a great day Enjoy the show Bye You Thanks I love- Look- I love my callers Ca- can I say this though I actually do think that Mayor John Horn's doing a good job so far I do too Yeah I mean look are are there things that people wish would happen faster Yeah But if you look at sort of the level of activity you know just getting out and filling potholes and paving streets and the stuff that's the basic blocking and tackling I think they're looking for the right police chief obviously right now Um you gotta give them a little credit compared to where we were were you know just- Oh sure a few months ago Well you know it's like I said for the the year leading up to the election whoever wins if they'll just come in and quit doing all the wrong things right they'll they're gonna look really smart Just just letting you know like a like letting a a s- a let- letting a a wound heal on your arm a scab If we just quit picking at it it'll heal Uh the last mayor and the administration in general just kept picking at scabs And for the analogy here it's like uh traditionally you know for 100 years for government to run correctly you just take a right take a right take a right Uh at every opportunity to take a traditional right chalk away to the left And if you would just get back to taking the rights just doing the right thing period You don't have to be the smartest guy in the room but it's gotten so bad if you'll just do that again you're gonna look great And I think John's getting back to just do it just let's just quit trying to reinven- vent the wheel and just let it go round and round and some of this will autocorrect Yeah and look John's smart Um I think he's surrounding himself with some smart people I mean we'll see how it plays out It's earl- it's too early to say that it's going to be a a raving success But comparatively already they're doing things and I think have kind of built the right kind of team Um and then you know you look at the level of cooperation that I think you're going to get from the legislature from the governor um they all like him I mean he had a history of working across the aisle and being easy to talk to and easy to work with And I think people are gonna want to help um you know as we come up into this next session And so I think Jackson's like if if I I know part of of your brand has been like hey Jackson's not where it needs to be and that's true I think Jackson has an opportunity right now to right some wrongs Yeah 100% Look I said it straight up Now there's gonna be some things I talk about 'cause this this is my brand this is my show I mean I'm going to talk about Jackson crime and some of the things I see that are just- Sure out of control But like just the culture rot more so But I did say I'm I'm gonna give it a year bef- unless there's something just egregious I'm gonna give John a year to find the bathrooms so to say before I start really peeling back and you know being nitpicky 'Cause I I think that there's gonna be a lot there's a lot to un- to un-F around here and I'm gonna give him an opportunity to get that get his people in place let them figure out where the bathrooms are at And I'll be honest there the these people I think the expectation is you gotta come in and start working from day one and you're seeing that You mentioned it with the potholes And so these people they're hiring they seem to be hitting the ground running and that's uh wildly impressive uh based on the last 7 or 8 years And look I I would say this too is like uh it's possible to do both things to recognize that progress is being made in a way that is at least somewhat encouraging and simultaneously not to hide from the fact that there's some significant challenges in Jackson that are gonna be hard for anybody to solve for Uh no no doubt No doubt Because I I look I'm exci- I'm optimistic for the first time instead of pessimistic that some things are gonna get done and that we're gonna start enforcing some laws around here And little stuff like code ordinance and whatnot are gonna be big things And not just Quit just going after businesses to go after How about start going after people for the broke down cars in their yard All this little stuff You know get back to the quality of life things Get back to people holding the people accountable for not cutting their grass holding businesses accountable uh illegal signage I mean let's get back to enforcing what's on the books Code ordinances to me is just like the number one thing that the last administration just said "Nah We're we're not gonna bully the citizens." Yeah I mean I think this is true not just in Jackson but everywhere but having pride in where you live is a pretty good indicator of how of of the quality of life that you're gonna have Well you know look Russ one of the things for me that really grinded my gears and I did not intend to get on this but we're here now uh there's a crew of guys and God bless them and I don't talk about them much but it's the guys they're all from like Rankin and Madison County and they've been cleaning the interstates and all that It's Casey Bridges and some other guys and they're doing they're doing great great work Uh but uh there's a part of me that wishes they didn't do it and this is just selfish I get it I should be glad they're doing it and I should I should give them their roses right But they're they're doing it for a bunch of people who really don't appreciate it overwhelmingly They the second they cleaned up the interstate pressure wash it all their stuff these people and some of the comments I've seen online from people is "Y'all supposed to be doing it Y'all should be doing it We shouldn't be having to Y'all all left Jackson The least you can do is come back and clean it." I'm like how about thank you How about that H- how about y'all clean your own city Or how about I don't know the people that we pay taxes to clean and pressure wash the interstates and bridges and everything else how about they do You know Like the citizenry shouldn't have to be uh doing Yeah look and I think there's I think there's a danger a- and I came up in churches I came up doing mission work um and part of the danger that I saw in church mission work is like you would take a group of youth to some city right in the United States presumably with the thought that you were gonna share the gospel of Christ but really it was a work trip And you'd go into a neighborhood and you'd clean up trash or you'd paint houses um and and you were helping to beautify where people lived and at some level it reinforces bad behavior right Because in an ideal world some random person doesn't come and clean Russ's yard- Right 'cause Russ is trashy Russ gets out and cleans his yard because he cares enough about where he lives whether it's an 800 square foot or 8,000 square foot house right He cares enough about where he lives that he's gonna take care of his own property And if everybody does that communities get a lot safer they get a lot closer to each other um and so at some level it's reinforcing um bad behavior if somebody else comes and does it for you when it's something that you're capable of doing yourself and should be motivated to do Yeah How about don't throw trash out your car when you're driving down the interstate That's a good start How about don't litter so people don't have to do this Yeah I mean these are real simple things You know we're we're rewarding bad behavior Well how about y'all come pressure wash my driveway cut my yard I'm doing I'm doing good You know what I'm saying And look there are there are exceptions to this right If you have if you have an 85-year-old live-in widow who can't get out and cut the grass then I think it's awesome that somebody will go and volunteer to cut her grass Amen And that should happen right And so that's that's a different scenario Like I would rather see that energy put in that direction you know find out the little who the little old ladies are that need the help the little old men whatever Let's And I'm not saying people aren't helping them but I'd rather see that than um cleaning up the interstates and all that stuff Again I think they're d- I don't want to diminish what they're doing I think it's great But I feel like you're enabling the people who are littering and doing this I don't know I'm just wildly conflicted I think it enables bad behavior as y- as kind of it rewards bad behavior as you said Well and look I mean you see this internationally and I think even progressives now recognize some of the damage that was done globally in what was a well-intentioned thing like "Hey we're gonna go feed the world," right "There are hungry people we're gonna go feed the world." Or uh "There are places where there's not indoor plumbing or running water" or whatever we're gonna go fix that We did it for people and never taught people th- that skillset in a way that even today there's reliance there And so I think the challenge has always been like how do you be tenderhearted and compassionate the way that I would argue the Bible requires you to be while simultaneously recognizing that sometimes being tenderhearted and compassionate is forcing people to get into uncomfortable situations to figure it out for themselves Yeah Uh what I feel like is kinda done too and this is just from me directly here is it's raised the price of tea in China a bit 'cause now when I get to arguing about people and the things that they've done to Jackson "Well why ain't you out there like them other guys cleaning up the interstate?" 'Cause I'm not gonna clean up your mess I'm not your mama is why God bless them that they feel moved to do that and that's their ministry My ministry is putting my boot up your ass and and telling you that you've screwed up That's my ministry I mean look people were mad at MrBeast was it about a year ago 'Cause he was going into parts of Africa that didn't have wells And was digging wells And I mean I even again even really progressive voices were saying this is counterproductive because really what needs to happen in those settings is like people have the resources and institutional knowledge to do that for themselves 'cause that's sustainable long term Yeah And those wells were already dried up and no good and been robbed and pillaged and everything else from my understanding is It was all just a big waste and look at- Although I I will say that that guy tries to do a lot of good He really does He does He does I'm not hating on him Uh he he does try to do a lot of good but he gets paid very well for the good deeds he does That's true too You know with content monetization But hey I'm not a hater on that at all Thank y'all for the uh money I made the last couple months on uh my content All right Let's take a break When we come back we're actually gonna jump into the TPUSA versus Clinton uh debacle that's going on out there Don't go anywhere here on The Clay Edwards Show 1039 WYAB This is Central Mississippi's stimulating talk 1039 WYAB Pocahontas Jackson.It's time to fall into savings at Mazda of Jackson With ball games road trips and all the busyness don't miss a thing with 2.9% financing for 36 months on a new 2025 Mazda CX-5 Or get 2.9% financing for 63 months on the 2025 CX-90 One-year maintenance is included on your new vehicle purchase And take advantage of the pre-tariff inventory that's almost gone Shop online at mazdaofjackson.com or visit Mazda of Jackson I-55 Frontage Road in Jackson Looking for the ultimate reset for your body and skin At Core Wellness and Recovery you'll find next-level services like cryotherapy red light therapy infrared sauna body sculpting and advanced facials Whether you want to boost performance recover faster or just feel your best Core Wellness and Recovery delivers real results with 0 downtime From muscle relief to radiant skin this is self-care redefined Come experience the future of wellness Core Wellness and Recovery just off Highland Colony in Ridgeland Book now at corewellnessandrecovery.com Hey guys This is KC Ellis with LS Autoplex located on Highway 471N Brandon LS Autoplex known as Little Truck City is your old-school mom-and-pop-style dealership that's family-owned and operated We specialize in 4wheel drive trucks but don't worry we have cars and SUVs too Looking to sell your vehicle Bring it by LS Autoplex where we pay fair market value and we cut you a check on the spot Need your vehicle serviced or repaired We can handle that too Shop us online or set your appointment at lsautoplex.com That's lsautoplex.com Tri-County Tree Service the Jackson Metro's premier company to handle all of your tree service needs Russ Bourland and his team specialize in large tree low-impact removal Tri-County Tree Service has the right equipment to safely handle the most technical trim jobs or tree removals Storm damage can happen year-round so let them clean it up and they'll deal with your insurance claim Tri-County Tree Service By phone at 601-TREE-GUY or online at tricotreeservice.com That's tricotreeservice.com Craving something extraordinary in Jackson Manship Restaurant is where your taste buds hit the jackpot Join us for happy hour every day from 3:00 to 6:00 PM where your wallet will thank you and your stomach will sing Indulge in half-priced woodfire pizzas because why pay full price for half the fun And for just $5 dive into our private barrel bourbon picks That's right luxury on a budget Plus beat the heat with our frozen drink specials a tropical escape without the travel expenses Make your way to the Manship where happy hour isn't just a time it's an experience Are you a wine enthusiast Are you looking for the perfect bottle to elevate your next dinner The ultimate destination for wine lovers is 042 Wine & Spirits on West Government Street in Brandon The locally owned the locally operated 042 Wine offers something for everyone from local favorites to rare vintage wines 042 Wine & Spirits can help you find your next favorite wine The friendly and knowledgeable folks at 042 Wine & Spirits will help you find the perfect bottle for every occasion 042 Wine & Spirits located on West Government Street in Brandon ......... For decades you've known the name Martin's for good times great food and the best live music Now that's happening at 2 locations downtown Jackson and Livingston Check the websites martinslivingtonms.com and martinsdowntownjxn.com for the many special events and live music lineups You can chill with friends on the big patio at the Livingston location and enjoy the blue plate lunches and nightly drink specials Martin's downtown and Livingston Broadcasting live from the Men's Health & Women's Wellness of Mississippi studios this is the Clay Edwards Show Welcome back in to the Clay Edwards Show Uh we got about 5 or 6 minutes left on this hour here 6 minutes so let's just jump straight in I'm not gonna do an ad read right now Russ TPUSA verse Uh first off this is the first time you and I have had a chance to talk since the assassination of Charlie Kirk Let let me ask you this We You're g- you're here for the next hour right Uh I can stay for a while yeah Okay So w- we can peel this onion back a little slower When when that happened man take me back to 'Cause it's it's gonna be That's the moment I'll never forget That's 9/11 like 9/11 I'll never forget who I was with exactly what I was doing the whole thing is just It is f- f- like frozen in time in my brain the way I felt and everything I'm sure you've gotten threats- Yeah uh over the years You know I know I have Uh te- take us back to the the day of the assassination t- as this all this whole thing unfolded What Where were you at What were you doing How did you feel Put us in the timeline please Yeah yeah I was just I was just working Um you know I think I I happened to see on Twitter the the closeup video and I've never seen anything like that in my life Like I've I practiced law for a while and some of my practice uh involved life insurance claims and so I've seen photos that are gruesome I've never seen sort of in real time the amount of blood that was involved in that And I don't say that to be gory or salacious but- No I know what you mean it it that that alone the injury alone impacted me I think it was an odd moment in the sense that like we had seen President Trump obviously get shot in Butler Pennsylvania I didn't have the same emotional reaction to that as I had to the Kirk assassination Part of it is that Trump obviously survived I was gonna say the immediate That would be different if he hadn't of survived or hadn't got up on his own- I I think that's right Yeah I think the other part of it though is uh and and this may come across wrong is like at some level if there's gonna be a political assassination you would expect it to be someone in Congress or a president right Somebody that actually has the ability to impact policy that impacts people Charlie Kirk had none of that He had no political power other than the fact that his ideas impacted people Had influence And so the the thing that I think was disturbing is somebody that clearly doesn't have nearly the audience or scale that he's got but who has um been involved in conversations around policy for a long time is like "Hey somebody could be killed just for what they think." Um in a country that has been built off of the idea that the free exchange of ideas is sort of bedrock to who we are as a people part of what makes us ex- exceptional And so in that moment I think there was a vulnerability You mentioned 9/11 Obviously 9/11 involved 3,000 people dying it involved wars after the fact so a different scale but a similar type of vulnerability where you go "Oh my gosh like things like this can happen." To everyday people To everyday people Yeah Um and there was also this poignant moment in my brain of he's on a college campus and if you think about the whole point of college it really should be a marketplace of ideas where you test what ideas work and what ideas don't Iron sharpens iron kind of thing And so that's the that is the environment that should be most suitable to real exploration and debate of tough issues Um and so I think it was just sort of that juxtaposition of like here's a normal guy who got killed for his ideas and thoughts on a college campus um and it created a sense of real vulnerability I think it also woke up a lot of people who said like "Hey look this is not just a words versus words thing." Like we're at a moment societally where people are so angry at each other and see each other so much as their enemy that stuff like this can happen Yeah yeah That's a great that's a great explanation of it It it was just the the vulnerability and it really made me take a a step back and I I know that my friends and family all and and audience all mean well when they're like "Hey man you really need to keep your head on a swivel." And and so on and so forth you know with all the stuff that you deal with and do and say and everything else Uh and it did it made it real You make people mad Yeah Yeah Apparently So I'm very polarizing they say Uh but it it just ki- it blows my mind I won't say it kills me figuratively that that your words can anger somebody so bad that they want to kill you Like to me I'm just talking about thugs and criminals and people who have actually killed people and But it's never them that I'm really worried about It's people who feel like they had to defend them or that they get offended by the blast radius of me talking about them It's like I we have to kill this guy I w- "Oh so why does Clay keep talking about uh Black violence and Black on Black crime I wish he would shut up Oh you know what I'm gonna commit a crime I'm gonna be violent and threaten him." Like well you're mad You're gonna do the thing that you're mad that I'm talking about Well and look you know- It it blows my mind And it ain't just them I get I get I get death threats from from White people too Sure And and so what I would say is I mean like we we grew up with this adage "Sticks and stones may break my bones but words may will won't ever hurt me." There's some truth to that but uh there's also there there's a degree of falsehood to that because we're emotional people right And things do hurt people's feelings or get people angry or or fearful Um but we bought into for a little while this idea and it really started on the the left side of the spectrum in c- on college campuses that words are violence And if you allow yourself to believe that the things that Clay says and you say some stuff I disagree with Sure Um I say some stuff you disagree with right But like if you allow yourself to buy into this idea that the words that Clay says are violence then you become justified in doing violence But they also tell us that silence is violence So words are violence and silence is violence if you're if you're not You ca- you it's it's not just You can't just be against racism you have to be a outspoken anti-racist as well So if you don't agree with them publicly if you're not a outspoken ally you might as well be an enemy and that is dangerous as well Yeah I look I just think we've gotta we've gotta get to the point again where we recognize that violence is violence Like if I walk up to you and punch you in the face you have the ability to punch me back But if I walk up to you and tell you "You're a colossal dumbass," your response should be "Well I don't like you either," or whatever Yeah But you don't you don't You're not justified in in punching me in the face So I agree And so like just getting to the point where we're emotionally mature enough to recognize there are gonna be people who say things that we absolutely disagree with And we can either debate those people or we can roll our eyes and move on I mean I think that every time I'm on Facebook I'm like "Why are these random people starting fights with people you don't even know?" Right Like you are wasting your time Roll your eyes and move on Yeah I got into a Jeremy England commented something yesterday made a post yesterday about uh people P- people starting off they wanna debate you but they insult you first Like "You effing idiot why don't you debate me?" Or "You're a douchebag why don't you debate me?" Well you've already crossed into the assaults Sure Why would Why would I debate you I dealt with the same thing uh earlier this week with some little 300 followers uh sending me all kind of nasty messages trying to get me to debate him Basically he wants me to platform him Sure You know I'm like I'm just There's no- You're smart enough to know that right Yeah Yeah Like why why would I do that Sure But even if I were to entertain it the way you started the conversation off with the insults I have Why would I want to do that for you Like to introduce you to my quarter million followers uh would be the best thing that ever happened to you if you're if you're so good if your opinions are so strong you could take advantage of that like like I've done in the past But now because you've insulted me to start the conversation I'm not gonna do that We gotta take a break We'll be right back with Russ Lateno here on WYAB Actually we're going to carry the conversation on in the uh live chat during the break Y'all don't go nowhere You gotta take the headphones off for this Okay Yeah during the breaks it it sends the radio signal whatever the commercials through the headphones Okay But uh If we But we're still alive we can talk Uh I like this conversation and I don't wanna just stop it 'cause we're gonna have like a weird run of commercials here but it it is It's like if you wanna debate I'll I will debate you I don't really like the debating thing anyway Let's just talk Like you and I met up and we talked about the school choice stuff Yeah We're on the opposite sides of the same On some of And I came out of that conversation I didn't really change my mind but I appreciated the fact that we had a logical conversation and I was a- and you were interested in why I felt the way I felt And I think that's always the best way to If you're ever gonna get somebody to change their mind is to listen to how they feel about it be respectful about that and then explain why you feel the way you do put your side out there and let the uh marketplace of ideas win the day Yeah no I think that's right I mean I think There's there's this thing called uh sunk cost fallacy in economics which is like once somebody believes something or once they've invested in something It happens in in actual trading like marketplace where it's like "Hey I've invested in this stock and it's lost 50% of its value," and instead of getting out of it you're waiting for it to somehow redeem itself And I think the problem with modern debate is too many people go into it with a thought process that says "Under no circumstances am I ever gonna change my mind." And there's gotta be a willingness 1 to hear To your point hear what somebody else has to say and consider the possibility that they might be right and you might be wrong um if you're gonna have any kind of movement And I think that used to happen at a better in a better way before social media But social media has Like this conversation we're having obviously I guess on YouTube but um social media has made it such that you have an audience now So the stakes for changing your mind have gone up It's become harder to change your mind because that's seen as a pride hit or an ego hit Yeah Um right Versus if you're just having a one-on-one conversation you might go "Hey I hadn't thought of that that way." Yeah Well even If you look like you agree with the other person you lost Yeah Yeah Like you've you've lost some reputation Yeah You've lost part of your brand Um and I would say like even like the school choice conversation that we had Yeah like we disagreed on the idea of public to public um school choice like where a kid gets to leave one public school and go to another Um but we didn't disagree on the idea of like- Mm-hmm universal What's called Universal ESAs right Where like a portion of the money that students already are getting spent on by the state that would allow them to go to a private school Like I think we agreed on that part right We agreed with that So And that and that's what you You weren't aware that I did agree with you on that And we kind of came out of that It's like really it's just like if there's 2 3 thirds here there's just one third of this thing I don't agree with Yeah And so like but being able to have that conversation in a non-combative way it was like oh wait there actually is common ground Mm-hmm We just disagree on this one thing over here Well then there's an opportunity for us to get something done Yeah Well you know at the end of the day I'm a negotiator You know Yeah I'm a dealsman And uh- Well and that's the nature of that's the nature of life It's also the nature of of legislation is like you have to have trade-offs No no a- a- absolutely circling back to the the Jeremy England thing real quick So I just commented and I told the little the little story about this guy trying to argue with me I was like he started off with an insult Why would I you know grant him the ability to come on and you know just platform this guy Why would I make him famous You know what I mean So to say Not that I have not that my platform's that big but long story short And he never fails A coup- a couple people in the comments "Oh well Clay you don't You're scared to debate people You just like to argue with people." And you know what was funny is I've never been rude to a guest on this show ever Even people I've disagreed with Uh frankly it's hard to get people to come on here that disagree with me Uh but I've always been respectful I'm I I can't even think of a time that I've shouted anybody down Yeah Uh at all Maybe argue with some callers here and there that call very aggressively So it's like so it's kind of like this myth of because Clay is an outspoken conservative he must also be scared of debate uh because he doesn't interview Democrats Well f- bro where are these Democrats at that want to come on and actually debate You know so to say Well and at at some level it's like and you mentioned that you don't even like the word- Like straw man arguments that are put- Well you don't even like the word debate right And it's like well if the point of the conversation is a good faith exchange of ideas where people are open to having their minds changed those are conversations worth having If the point of the conversation is to get famous by making you look stupid- Yeah I mean no- nobody's ever had their mind changed by being made to feel stupid No Never Never Um they might give up They might well but they're at the end of the day they're angry about it Um and they're they're even more dug in to than where they started right And so yeah I mean again there's some there's some biblical truth here which is like you catch more flies with honey than with vinegar And if you want to have constructive conversations the best way to do that is not by assuming the other person is stupid but by trying to understand why they believe what they believe That's why Shawn and I have had such a good friendship that was supposed to kind of start off as a bit of a debate show We realized that we agreed on so much stuff for the most part And we also agreed that even when we get our angriest that we're gonna be adults Yeah And not get into a shouting match And in involving Shawn you know for those couple years on the show uh before they went off and did their own thing uh was really really good for me learning you know actually finally having somebody sitting across from me that we did disagree on some stuff And learning that for the most part we agreed on like real core principle things It's just kinda like these ancillary things that we disagree on Uh that was a very healthy uh growing point for me to be able to say okay maybe I'm not as bedrock about some of these things as I thought I was And then there are some things that it made me realize that I'm even more adamant about Well and there's something different when you're sitting down across from somebody versus preaching at them on the internet and you don't have to see them or meet them or whatnot right Like and you see that in other areas of life So like as an example the conversation around immigration and that's a complex conversation and I know your audience probably leans one direction pretty heavily But I would look at it and say okay a lot of people talk about mass deportation as an example of Mexican and South American immigrants But then you say well what about the fellow that serves your lunch when you go to this restaurant Or what about the the people that come and cut your grass or the- You start personalizing it And then you're like oh well I know so-and-so Yeah Right And then it becomes a lot harder to paint with such a broad brush I think that's true in the context of like republicans democrats liberals and conservatives too is like at some level if you just sit down with somebody who's like hardcore on the other side of you and you start talking about the things that they want out of life they want their kids to have better jobs than what they had right They want a house they want a car they want a safe community Like there are all these things that everybody wants like that everybody kind of views as like this is a measure of a good life And the real the real debate or the real sort of difference is how do we get there Yeah Um and like if you start from that vantage point where you don't assume that the other person is evil but they just have a different view on the way to get somewhere I think there's opportunity No I I agree and I talk about this a lot I'll come on here and I kind of paint with a broad brush but I do tell people "Look there's obviously you know nuance here." There's there's special exception I come in here and talk about democrats are evil but one of my best friends is a democrat You know Sure And Shawn and and and a buddy of mine Marvell I mean I could 2 off the top of my head 2 of my closest friends are are are democrats and think I'm wrong about a lot of stuff And that's fine Well you know we either talk about those things or we don't We talk about normal stuff Like we don't I don't ride in a car with my democrat friends and talk about politics the whole time you know We actually both like football Yeah Like there's real life stuff too that sometimes you kind of get lost in the arguing about policy and politics and culture war stuff that you forget that there's actually real life stuff that we enjoy as well And if you- Well I mean- find that common ground it makes life a lot easier A- and I don't mean to be overreligious on on your program but at some level it's like hey the Bible says that we were all created in the image of God That means democrats were created in the image of God too right The Bible says that we've all sinned and fallen short of the glory of God That means that republicans have sinned too right And so like at some level recognizing that if you have that sort of scriptural worldview it means no matter whether you disagree on a question of like immigration or whatever it is that like that other person was created in the image of God and like you they suffer with sin.Um and if you have that kind of humility going into it I think it's a lot easier to to relate to people Yeah you know I use this analogy a lot um Christians are very hardcore about the the they love to say "Gay being gay is against the Bible it's that's against the Lord's words." I'm like "Well so is having sex before you get married." Y- uh absolutely And it was like so I that's why I'm never like I don't get on the the the gay religious thing I don't that's that's their sin let them worry about that I have my own sin and I'd be a hypocrite if I sat there and talked about uh who they have sex with It's no different than who I have sex with when I'm doing it outside of marriage My sin is just as equal as as that Uh my only problem with the gay stuff is like it's the LGBTQ agenda as I you know as I refer to it as You know the the the pride parades with all the near pornographic stuff in front of children and d- drag queen story time No that's that's a whole separate thing from just your everyday run of the mill gay people And like I don't think they're separate Unfortunately they get all dropped under this big umbrella and if you have a problem with this well you must also have a problem with the 2 gay guys No I don't at all 'cause again their sin is no different than my sin Yeah I mean look I I would look at it and say at some level what happens is that the the natural human tendency is to focus on sins that you don't struggle with right So if you're heterosexual it's easy enough to talk about the sin of homosexuality because it's not something that you ever struggle with but if you wanna get uncomfortable you know talk about uh whether or not Russ is overweight right Yeah Because then that's the sin of gluttony Mm-hmm Um or the 400 pound Baptist pastor pastor who clearly is living an unrepentant life when it comes to their their dietary habits Um again the sin of gluttony and so like there's a very natural tendency to to isolate those sins that we don't personally struggle with and to ignore the things that we personally struggle with Heterosexual lust is a great example of that too Yeah And so I I don't think as as a Christian I don't think you should uh ignore what the Bible says is sinful behavior but I do think that you should operate in a way where you don't ignore your own sin um certainly 'cause that it it is hypocritical It it is and that is the one thing when you do this for 2 hours a day you will find yourself contradicting yourself a lot and and so I've learned to avoid contradicting myself I just try to be an open book and say "Look I'm k- a complicated individual as we all are There's gonna be things that I I find abhorrent but then there's gonna be things that I do that you find abhorrent." You know I try to find the common ground and just admit yes I we can all be a bit hypocritical at times But if there's some obvious stuff I try to just b- be like "Look that's" I I try I people think I'm very judgey I'm really not I gotta let let people live but the the Overton window has moved over so much that if you just wanna be left alone or just let people live that makes you far one way or the other now because the Overton window has moved so far I don't l- yeah there the problem is that there are not a ton of people who still believe in sort of what I would call American pluralism which I think is actually one of our founding values is that people get to believe different stuff All right we're coming back from break Chicken spaghetti on Mondays beef tip Tuesday pork chop Wednesday spaghetti Thursday and catfish Fridays And McBee's blue plate lunch comes with 2 classic southern sides and cornbread or a roll McBee's specials are served every weekday from 11:00 to 2:00 McBee's buzzing the Rez since 1982 Welcome to the Clay Edwards Show More adrenaline You know it's a pretty interesting time to to be alive What's the saying M- may the times you live in be interesting We've accomplished that more test top throne for your morning drive When you know you've got a problem how about tell people and be honest What's going on Going to war on cancel culture and bringing the spotlight on issues and topics from around the city of Jackson I feel like Jackson is slapping and no one else wants to talk about it The whole system is corrupt and evil It's unreal And they don't care and and everybody knows it It's just sad And fights for the soul of America I'm gonna need y'all to explain to me what a positive solution is 'cause you positive solutions only people have been in charge for a while now and I'm too many positive solutions You never Strap in Turn up the volume and get ready Jackson for unfiltered no sugar added talk radio It's award-winning podcaster Clay Boom shakalaka boom It's hour 2 of the most incendiary show on the R-A-D-I-O This is the Clay at Birth show here live on 103.9 FM W-Y-A-B We are streaming in stunning HD worldwide @SaveJXN on Facebook YouTube and X and we're on Rumble at SaveJXN If you're watching on any of those platforms hit the Like button hit the Share button if you're on Facebook If you're watching on YouTube drop a comment hit the Like It truly truly does help us with the algorithm If you like it they assume more people who watch the things that you like will like it too and they'll recommend these videos to people on YouTube which helps us grow And it doesn't cost you a penny to hit the Like button So please please please smash the Like button as the YouTubers- Like and subscribe Like and subscribe Like and subscribe Like and subscribe And uh we did We we gained over 500 subscribers on YouTube last month which I know in the big picture that may not sound like a lot but that's 500 new people that subscribed to a little old show out of Jackson Mississippi We're almost at 10,000 YouTube subs here 5 years into this and it is a it's taken a while There's not been no big one viral moment that's got us anywhere It's been just chipping away and chipping away and chipping away And I do think we'll eventually get that We'll we'll have that moment when we get you know X amount of followers and enough people see something that resonates with them But uh guys please uh do hit that Like button This segment is going to be brought to you by our friends over at You know I've been talking about it all week I want to drive it home It starts today round one the PGA Champion- Not the PGA Championship the Sanderson Farms Championship which is the only PGA event in Mississippi But not only is it the only PGA event it's the only major sporting professional sporting event in the state of Mississippi I know we can argue that college football is now a pro sport but And it always has been It has been for quite some time Yeah it always has been But uh it's the only legitimate pro-sport uh event in the state of Mississippi and it's right here in Jackson For all the negative things about Jackson this is one of the shining uh house on the hill you know beautiful moments that we have here in this city It's something we really should all wrap our arms around and get out and support if you want to keep it whether it's Jackson central Mississippi whatever there at the Country Club of Jackson And uh the first round starts today I'm going to be out there Saturday My buddy Fred Shanks my buddy Sutton my buddy Michael we're all going We got some Michelob Ultra Pavilion passes which you can get those as well at PGA I'm sorry at sandersonfarmschampionship.com And you can buy tickets You can buy the uh the Mick Ultra Pavilion It's kind of like their VIP thing There's going to be a bunch of TVs there You can miss You can catch all the college football action the golf action It's a great socializing event Just gonna be a grand time The weather's gonna be beautiful Come join us If you can't do Saturday get you some tickets for Sunday I think you just buy the ticket and go whatever day you want They're just Whatever ticket's good for any day but it's only one You You got to If you're going 2 days you got to buy 2 tickets So just FYI It's not a weekend pass Uh I do believe they do offer those But uh it's not too expensive Uh but you know it is a nice event and it does it does cost a few bucks But I think if you buy a ticket and a VIP pavilion pass it's about 130 bucks for both Which if you bought a concert ticket lately and you try to do a VIP upgrade you're probably talking about at least 500 bucks So for the money it's a really really good deal And uh parking's off site there at North Park You park there They they they bring a shuttle bus back and forth They'll keep them running all day You're not going to have to wait long to get to or from your vehicle The weather's going to be beautiful Come out there Hang out with me Come say hey And uh Saturday wear your favorite college colors It's University Day So going to be fun Russ you going to get by Uh we're going to an event tonight uh tied to it Um kind of their opening event and uh- A sponsorship party Yeah So we'll we'll do a little bit of that tonight and we'll see I I might Uh it's a good event And they- I'm trying to angle some tickets for the sponsorship party I I've been I've been working some angles that have not worked out so far But I would love to go to the sponsorship party Well we we can talk about it off air maybe Maybe so All right Well uh look so we got Russ Latino here Magnolia Tribune one of my favorite journalists in the state if not my personal favorite And Magnolia Tribune does just phenomenal work And Russ grabbed a hold of something like a dog on a bone the other day And I'm really glad he did because he brings a level of credibility and a level of scrutiny to to this topic that I think needs to be And he shines a light on it uh as one of the most influential journalists and policymakers in the state And it's the In the wake of Charlie death Charlie Kirk's death and that's why I wanted to really get Russ's opinion on that and kind of his thoughts on the whole thing before we dove into this These TPUSA chapters which is Turning Point USA for those that don't know Charlie Kirk's foundation that he founded And they Man they The growth has been stupendous since his death Thousands and thousands of new charters popping up And in these high schools where we really need to be trying to win the culture war uh just like colleges man We if we can get ahold of them at high schools they go to colleges you know kind of ready to fight the fight or knowing how to fight it And Clinton for some reason has decided that uh it's a no-go there So I've kind of laid the groundwork for you here man Tell us kind of what happened So let let me start by saying that um obviously what happened to Charlie Kirk was a tragedy a horrible tragedy I didn't always agree with him Um and I didn't always agree with TPUSA I did agree fundamentally with the idea that we should be having open debate on these issues um and that open debate is good And so-What happened was after his death to your point thousands and thousands of new chapters high school and college of TPUSA um started to form Um a couple of Saturdays ago so uh 2plus Saturdays ago um a teacher at Clinton High School sent out an email to a handful of students um and that email essentially said "Hey I know you're interested in this sort of stuff because you've talked to me in the past about wanting to start some kinda club that focuses on patriotism and sort of the exchange of ideas and debate Um what do you think about potentially doing a TPUSA chapter?" That email said explicitly this would have to be student-led Um you would have to come up with the names of other students who are interested in spearheading the effort to start this thing And there was a plan of sorts put together Some of these kids started sharing it with their friends they came back with names of people who wanted to be involved And essentially they planned to get together the following Tuesday September 16th to have a planning meeting with the teacher Well our sources say that that email got around to a wide group of people Um and one of the- the sets of hands that it ended up in was a set of parents who were very much opposed to the idea of there being a TPUSA chapter on Clinton's campus Um and that was communicated to school officials So what happens then is that on Monday September 15th the teacher that afternoon sends out an email to these students who are ready to meet the next day just saying "There will be no meeting tomorrow." Um the following day one of the students follows up and says "Well when are we gonna reschedule it?" 'Cause they're excited about doing this Um and she emails back and says "There won't be a rescheduling you need to go talk to the principal about this." Well the backstory of those few days and the way that we got ahold of this was that we got contacted by 2 sources that said "Hey look some students wanted to start this TPUSA chapter and they got shut down by the school administration." Um and we were told that there were 3 reasons given by the administration The first was that this was too political and "We don't do political clubs it's gonna be divisive." Um the second explanation which came later was "Well this was teacher-led and because it's teacher-led it violates a district policy." And then once students voiced "Hey no actually we want this," the third explanation that was given was "Hey it's too late in the year to start a new club." And so all of this unfolds- We're a month into school we're a month into school So all of this unfolds and you start to see And the only way we know this is 'cause we did public record requests on Clinton High School Um you start to see emails directly from students to the principal of Clinton High School Dr Brian Fordinberry saying "We want this." To the point that some of them are literally pressing him and saying "Tell me why we can't have this In writing please tell me why we are unable to have a Turning Point USA club." Um we get ahold of the story break it on uh social media And the response that we got from folks who live in Clinton was "Hey we called and talked to the principal and he said the reason they can't have it is 'cause they started it too late in the year." Well that night I start doing some research All right let's figure out is that true Is there a policy in place for this Read the entire Clinton Han- School handbook Nothing in there about when clubs can start Um read the entirety of the school district's policies Couldn't find anything So I wrote the principal and the- the school board attorney and just said "Hey look I've looked at all this stuff I can't find any policies that- that says that this can't be done this time of year." Um and we had posed a bunch of different questions public record requests whatnot Well they come back um the following day and release a statement that basically says "We didn't actually shut it down We just told them that it couldn't be teacher-led and that it couldn't be this year." Which is shutting it down Yeah Um and so anyway we- we've been able to get together all these public records It really looks from my vantage point like the 2 reasons they gave are pretense first of all students individually went to the principal and said "We want this club." ......... ......... ......... ......... ......... ......... ......... all of the documents ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... ......... since 2019 The Tigers are playing well against Alabama this season but they aren't winning their first game of the season The Tigers were able to win their first game against ......... ......... ......... ......... ......... ......... Alabama on September 19th 2020 They had a 31-0 victory at home against Alabama The Tigers won their first game of the season against Alabama on September 19th 2020 The Tigers have been playing well since then but they haven't been able to win their first game of the season The Tigers were able to win their first game against Alabama on September 19th 2020 They had a 31-0 victory at home against Alabama The Tigers have been playing well since then but they haven't been able the season The Tigers were able to win their first game against Alabama on September 19th 2020 They So they make good homemade ranch at Burgers Blues Barbecue is my point Get by check them out today Madison by the way the Madison location is open right now serving breakfast Dogwood in Flowood or downtown Brandon BurgersBlues.com to book a food truck check out the catering menu or to order and have your food delivered You can do it all in one great location BurgersBlues.com Website looks phenomenal too by the way Pictures of almost every item if you wanna know what it looks like That goes a long way Yeah You know Yeah no it does Um good websites good pictures all that stuff uh is how you market stuff right Gets people salivating We eat with our eyes Uh uh yep I think that's true Our eyes and our nose Yeah Right And my my eyes are often bigger than my appetite- Well as they say Yeah no I think that's part of the problem right Yeah absolutely So Russ wha- uh your your opinion do you just think this is political with TPUSA So let me say this for uh uh to start is I think whenever Clinton put out its statement in response to our original reporting they basically said it's incorrect that we tried to shut it down but then they explained why they had shut it down so it was an odd statement The other thing that I saw that bothered me almost more than the statement was the way that the media reacted which was just to just accept at face value with no critical thinking the explanation that was given Right So they're saying "Hey the reason we didn't do this is because it was teacher-led," while simultaneously admitting in the same statement that students independently came to us and asked for Right Mm-hmm Um so one that doesn't hold water And then they said "Yeah but we explained to those students that our 'practice' was to a- approve things this year and then h- allow them to go into effect next year." I asked the question point blank "Well what does that mean that next year there'll be a Turning Point USA chapter?" And they didn't answer that question But more importantly that policy does not exist in writing Right It doesn't exist anywhere um based on our investigation And so neither one of those things hold water And if neither one of those things hold water there must be something else And our sources said that the something else was the fact that you had parents that were angry about the idea of it coming on campus and a principal who just said "Hey this is gonna be too political which is unconstitutional." So w- what I would say Russ's opinion reading between the lines looking at all the facts I know the sources that we've talked to I think the principal panicked um and was trying to find a way to keep the peace which I can respect at some level which is "Hey we don't wanna rock the boat here We don't wanna create tension We want a unified campus This is gonna create some tension so I'm gonna find a way to say no." The problem with that is yes it violates the Constitution yes it violates federal laws yes it violates state law but there's a bigger sort of fundamental problem which is the way to deal with the fact that we can't have constructive debate in this country is not to have no debate at all It's to get better at having constructive debate Yes And that starts at an early age And so if we can create a system where yes there can be a Turning Point USA chapter and simultaneously yes there can be some sort of progressive chapter on campus and students get to decide who they wanna associate with and we create an atmosphere where hopefully those groups are talking to each other engaging with each other civilly we're setting ourselves up for much better conversations in the future than what we're seeing in our country amongst adults right now And so to me instead of saying "I don't wanna rock the boat," the answer should be "How do we create an environment where people get to associate with who they want they get to say what they want and we encourage students to do so in a way that is civil?" Uh I would love to see a list of the current of the current groups on the campus And w- we've asked for that right Um I I know that there are uh at least social organizations on campus that like you know some conservatives would find uh objectionable Um you know there's a gay straight alliance club as an example I I was gonna say like it would bet but bet the farm that there's an LGBTQ alliance of some sort on there uh there's gonna be some type of civil social justice Black pro-Black group and all those are fine as long as you have the ying to the yang And and and I would say great I would say great right Yeah Um it's it what you don't wanna do is a situation where you're having viewpoint discrimination And even like the other 2 uh you know arguments which is like "Hey this is teacher-led." Well 1 I don't think that's true based on the documents that we've gotten and I don't think it's true based on their own statement at some level But the Constitution doesn't say you can't be inspired by an adult if you wanna create a club on campus right Yeah Um people can get ideas from other people And and candidly every club on campus is required to have a sponsor So one man's sponsor is another person's teacher-led group right Yeah Um and then on this this timing thing is even if that policy did exist you would have to show that it had been consistently applied and it would still have to be tailored in a way legally that it didn't deprive people of their rights So you could say like a senior uh is on campus and they're saying "Hey you're making me wait until next year I won't be here next year I'm gonna graduate." Uh that was gonna be what I was gonna say We got a great comment here on X from uh Bourbon Diplomacy which may be the best name on X by the way That's a great name It says uh "Clinton School District attends school almost year round now so when is the correct time?" Yeah I mean again what they put out through surrogates after we did our initial reporting was "Hey we've got this policy and they're in violation," but can't even point to to something in writing I mean Yeah It it seems pretextual when you can't show something in writing And when you ignore a a public record request that explicitly asked for who are the other clubs When were they formed When were they allowed to be on campus They should be able to tell us all of that unless they're just not keeping records of what clubs are on campus which would suggest that they don't actually have a policy Right So what is the next step Is uh is Magnolia Tribune uh to the point of a lawsuit Well we wouldn't be the ones to file a lawsuit right A lawsuit would have to be filed uh either by some of the students who want the club which would be the the most likely scenario if they wanted to push that far or uh you know if there were adults on campus faculty that that thought that their rights had been infringed upon at some level Um my suspicion is that neither one of those things will happen because people don't like the idea of suing their own school Um it takes a rare person Like you'll occasionally see lawsuits percolate That's like one out of a thousand people has the courage to say "Hey I'm gonna do something like this." Is is Clinton in ISD or is it part of Hinds County I should know that I don't off the top of my head Uh- Yeah yeah no I do know that 'cause they they've got their own superintendent Yeah yeah it's independent Okay I I wasn't sure I I knew I know Pearl is and I and I grew up going to Byron which is part of uh Hinds County so I just wasn't sure if Clinton was part of that or not Never actually Yeah Never needed to know that So I mean a lawsuit is poten- is possible I I don't necessarily see that You know I I think the the most likely scenario if if the high school does the right thing they're not gonna come out and admit that they violated the Constitution No government official's ever gonna be like "Hey I violated the Constitution federal law and state law." What you hear instead is the kinda stuff that you heard here which is "Oh we wanted to help you but you didn't follow this unwritten process that we expected you to follow." So they're not gonna do that But if I were the district if I was on that board of of the school uh or if I was the principal I'd be trying to figure out a way to get it started Yeah there's gotta be a way to put the paste back in the tube a little bit here before it spirals outta control I mean you're sitting here like- Well it got it got mentioned on CNN That's where I was going yeah Um so so you know Abby Phillips' program Newsline on CNN it got mentioned there Uh I expect that there will be other national outlets that will be covering this Um there's an opportunity for Clinton to do the right thing and recognize that kids deserve the right to have this kinda club on campus if they want it Um for Magnolia Tribune's part we're not giving up right We still have several public record requests that we don't feel like have been answered uh and that weren

Who knew that a lack of boundaries could cause so many emotional and mental struggles in our lives? Today I'm sharing with you an article adaptation from Dr. Henry Cloud's book Becoming an Adult: Advice on Taking Control & Living a Happy, Meaningful Life.  Dr. Cloud is one of the co-authors of the Boundaries books, and he shared 22 symptoms that we can experience when we don't set appropriate boundaries. I think you'll find this fascinating – I did! Thanks for listening!  Want to learn more about this concept?  Check out these podcasts: #7 Boundaries Part 1 on Apple on Spotify #8 Boundaries Part 2 on Apple on Spotify #9 Boundaries Part 3 on Apple on Spotify #27 Healthier Relationships on Apple on Spotify #47 Thoughts, Consequences, & Boundaries on Apple on Spotify #139 Being a Martyr on Apple on Spotify #140 Still Being a Martyr on Apple on Spotify #174 Better Boundaries on Apple on Spotify #196 How to Break the Blame/Defense Cycle on Apple on Spotify #225 Shame, Blame, and Disempowerment on Apple on Spotify #227 Feeling Obligated on Apple on Spotify #240 Passive-Aggressive Behavior on Apple on Spotify #250 Being a Victim on Apple on Spotify #277 Your Spouse Is Not Your Responsibility on Apple on Spotify #314 When Setting Boundaries Is Hard on Apple on Spotify #331 Sense of Self on Apple on Spotify #332 Sense of Self – It's All In Your Head on Apple on Spotify #333 Sense of Self and Dating on Apple on Spotify #334 Sense of Self and Marriage on Apple on Spotify #335 Sense of Self and Parenting on Apple on Spotify #336 Sense of Self and Our Spirituality on Apple on Spotify #337 Sense of Self and Our Sexuality on Apple on Spotify #349 It's Okay If People Don't Like You on Apple on Spotify #363 Breaking Your Over- and Under-functioning Cycles on Apple on Spotify #365 Villains, Victims, and Heroes on Apple on Spotify #375 Sense of Self and the Relationship Circle on Apple on Spotify Are you curious about what it would be like to work with me? Here are three options: Group coaching classes are available at tanyahale.com/groupcoaching Talk with Tanya is a free monthly webinar where you can ask me anything and we can have a great discussion.  You can sign up for that at tanyahale.com/groupcoaching Interested in a free 90-minute coaching/consult with me?  Access my calendar at: https://tanyahalecalendar.as.me/  

Learning to live our lives with intention is a powerful way to begin to create the lives we truly want. And it is going to push the boundaries of your comfort zone when you step into intentionality. But only when we decide what we really want in life and choose to intentionally move toward it will we find the fulfillment and contentment that is available with a life well lived. What can you do to live with more intention? Thanks for listening!  Want to learn more about this concept?  Check out these podcasts: #183 Taking Risks and Becoming  on Apple  on Spotify #186 Are You Committed or Just Interested?  on Apple  on Spotify #201 The Tolerable Life  on Apple  on Spotify #331 Sense of Self on Apple on Spotify #332 Sense of Self – It's All In Your Head on Apple on Spotify #346 How to Stop Reacting and Start Responding on Apple on Spotify #349 It's Okay If People Don't Like You on Apple on Spotify #361 A Luxurious Life, part 1 on Apple on Spotify #362 A Luxurious Life, part 2 on Apple on Spotify Are you curious about what it would be like to work with me? Here are three options: Group coaching classes are available at tanyahale.com/groupcoaching Talk with Tanya is a free monthly webinar where you can ask me anything and we can have a great discussion.  You can sign up for that at tanyahale.com/groupcoaching Interested in a free 90-minute coaching/consult with me?  Access my calendar at: https://tanyahalecalendar.as.me/

What comes to mind when you think about God? Who do you imagine Him to be? Your answers to these questions are the most important thing about you. Chip explores how our perception of God radically alters our view of reality.The importance of this study:“What comes into our minds when we think about God is the most important thing about us.” -A.W. Tozer, Knowledge of the Holy“We tend, by a secret law of the soul, to move toward our mental image of God.” -A.W. Tozer, Knowledge of the HolyHow to see the real God, with 20/20 vision:Three facts to consider:God is not LIKE YOU! -Isaiah 40:25-28, Romans 11:33-36Left to ourselves, we tend to REDUCE God to MANAGEABLE TERMS! -Romans 1:21-23, Exodus 32:1-6God can only be known as He REVEALS HIMSELF to us! Through:NATURE -Psalm 19:1-2, Romans 1:19-20HIS WORD -John 1:1-4, 5:37-40JESUS, His SON -John 1:14-18, Hebrews 1:1-3One question for you:What must I do to see the real God and He really is?Answer:SEEK HIM -Jeremiah 29:11-14aHow?Proverbs 2:1-5Broadcast ResourceThe Real God ResourcesMessage NotesAdditional Resource MentionsDaily DiscipleshipA.W. Tozer - The Knowledge of the HolyConnect888-333-6003WebsiteChip Ingram AppInstagramFacebookTwitterPartner With UsDonate Online888-333-6003

What comes to your mind when you think about God? Your mental picture of Him is the most important thing about you. Chip reveals how our understanding of who God is affects every single aspect of our lives.The importance of this study:“What comes into our minds when we think about God is the most important thing about us.” -A.W. Tozer, Knowledge of the Holy“We tend, by a secret law of the soul, to move toward our mental image of God.” -A.W. Tozer, Knowledge of the HolyHow to see the real God, with 20/20 vision:Three facts to consider:God is not LIKE YOU! -Isaiah 40:25-28, Romans 11:33-36Left to ourselves, we tend to REDUCE God to MANAGEABLE TERMS! -Romans 1:21-23, Exodus 32:1-6God can only be known as He REVEALS HIMSELF to us! Through:NATURE -Psalm 19:1-2, Romans 1:19-20HIS WORD -John 1:1-4, 5:37-40JESUS, His SON -John 1:14-18, Hebrews 1:1-3One question for you:What must I do to see the real God and He really is?Answer:SEEK HIM -Jeremiah 29:11-14aHow?Proverbs 2:1-5Broadcast ResourceThe Real God ResourcesMessage NotesAdditional Resource MentionsDaily DiscipleshipA.W. Tozer - The Knowledge of the HolyConnect888-333-6003WebsiteChip Ingram AppInstagramFacebookTwitterPartner With UsDonate Online888-333-6003

What comes to mind when you think about God? Who do you imagine Him to be? Your answers to these questions are the most important thing about you. Chip explores how our perception of God radically alters our view of reality.The importance of this study: “What comes into our minds when we think about God is the most important thing about us.” -A.W. Tozer, Knowledge of the Holy“We tend, by a secret law of the soul, to move toward our mental image of God.” -A.W. Tozer, Knowledge of the HolyHow to see the real God, with 20/20 vision:Three facts to consider:God is not LIKE YOU! -Isaiah 40:25-28, Romans 11:33-36Left to ourselves, we tend to REDUCE God to MANAGEABLE TERMS! -Romans 1:21-23, Exodus 32:1-6God can only be known as He REVEALS HIMSELF to us! Through:NATURE -Psalm 19:1-2, Romans 1:19-20HIS WORD -John 1:1-4, 5:37-40JESUS, His SON -John 1:14-18, Hebrews 1:1-3One question for you:What must I do to see the real God and He really is?Answer:SEEK HIM -Jeremiah 29:11-14aHow?Proverbs 2:1-5Broadcast ResourceThe Real God ResourcesMessage NotesAdditional Resource MentionsDaily DiscipleshipA.W. Tozer - The Knowledge of the HolyConnect888-333-6003WebsiteChip Ingram AppInstagramFacebookTwitterPartner With UsDonate Online888-333-6003

Having a strong sense of self is the key fundamental tool to creating strong relationships. Only when we have a sense of belonging to ourselves, a sense of our worth and value, of our inherent goodness even amidst our flaws and weaknesses, can we show up in the relationship circle as an equal partner. The stronger our sense of self, the greater our capacity for emotional, mental, and sexual connection. Thanks for listening!  Want to learn more about this concept?  Check out these podcasts: #272 Stay In Your Lane on Apple on Spotify #371  Relationship Circle on Apple on Spotify #372 Why Our Relationships Need Validation on Apple on Spotify #373 Safety in the Relationship Circle on Apple on Spotify #374 Creating More Safety in Your Relationship on Apple on Spotify #331 Sense of Self on Apple on Spotify #332 Sense of Self – It's All In Your Head on Apple on Spotify #333 Sense of Self and Dating on Apple on Spotify #334 Sense of Self and Marriage on Apple on Spotify #335 Sense of Self and Parenting on Apple on Spotify #336 Sense of Self and Our Spirituality on Apple on Spotify #337 Sense of Self and Our Sexuality on Apple on Spotify #349 It's Okay If People Don't Like You on Apple on Spotify Are you curious about what it would be like to work with me? Here are three options: Sense of Self classes and Group coaching classes are available at tanyahale.com/groupcoaching Talk with Tanya is a free monthly webinar where you can ask me anything and we can have a great discussion.  You can sign up for that at tanyahale.com/groupcoaching Interested in a free 90-minute coaching/consult with me?  Access my calendar at: https://tanyahalecalendar.as.me/  

Send JKO a Text MessageDo you find yourself always trying to earn love, safety, or belonging in relationships? Then, this episode is for you. Discover the signs of emotional hustle culture in relationships, its effects on mental and physical health, and how to heal and deal with it. Nuggets of wisdom in this episode Links between hustling for love and health issues like insomnia, anxiety, and weight gain The standard for real love Practical healing tools and practices Key scriptures: 1 Corinthians 13:4–7, Genesis 29:31–35 References How to Talk to People Who Don't Like You, episode from The Crappy Childhood Fairy Support the show If Messy Can't Stop Her blesses or inspires you, please consider supporting it at supportmessycantstopher.buzzsprout.com. Thank you for being part of this journey. If you would love to share your story on the #MessyCantStopHer podcast, click here to let me know. Thank you so much for listening. Music Credit: https://indiefy.me/wanted-carter

It can be easy, and even feel intuitive, to get in the middle of other people's business. And it's even easier when they invite us in, asking for verification that what they are thinking is true and what they are feeling is valid. When we feel we're being pulled into someone else's relationship, it's important that we learn to stay out and let the be responsible for their own relationship. In this podcast, we talk about why that's important and how to do it better. Thanks for listening!  Want to learn more about this concept?  Check out these podcasts: #272 Stay in Your Own Lane #289 Why Our Relationships Need Validation #314 When Setting Boundaries is Hard #344 Are You a Safe Place for Vulnerability? #349 It's Okay If People Don't Like You #357 How to be More Understanding Are you curious about what it would be like to work with me? Here are three options: Group coaching classes are available at tanyahale.com/groupcoaching Talk with Tanya is a free monthly webinar where you can ask me anything and we can have a great discussion.  You can sign up for that at tanyahale.com/groupcoaching Interested in a free 90-minute coaching/consult with me?  Access my calendar at: https://tanyahalecalendar.as.me/

What's a Job Where a Lot of People Don't Like You by Maine's Coast 93.1

How do you effectively lead a team filled with individuals who are different from you? Kevin is joined by Stephanie Chung to discuss what it truly takes to lead with intention in today's diverse workforce. Stephanie's unique leadership model is represented by the acronym ALLY—Ask, Listen, Learn, and You take action. This framework emphasizes the importance of leaders actively engaging with their team members to understand and support them, particularly those who may not share the same background, identity, or experiences. She dives into each component, providing practical advice and candid examples, including a powerful story known as “The Damsel in Distress.” Stephanie also introduces another valuable acronym, EARN—Establish psychological safety, Assure alignment, Rally the troops, and Navigate the narrows, guiding leaders in creating environments where all team members can thrive. Listen For 00:00 Introduction: Leading People Who Are Not Like You 00:35 Welcome and Live Podcast Info 01:17 Sponsor Message: Flexible Leadership 02:12 Guest Introduction: Stephanie Chung 03:09 Stephanie's Leadership Journey 06:29 Why This Book? The Heart Behind Ally Leadership 07:44 Overview of ALLY: Ask, Listen, Learn, Take Action 08:51 The Modern Workforce: Diversity in Every Dimension 10:17 Why the Term "Ally" Matters 11:17 The Damsel in Distress Story 18:44 Ask, Listen, Learn: Leadership in Practice 19:09 The EARN Framework for Earning Ally Status 21:39 Creating Psychologically Safe Teams 24:50 Walk-a-Mile: Building Empathy in Teams 25:11 Leaders Must Demonstrate Allyship 27:10 Stephanie's Self-Care and Cultural Immersion Practices 30:07 What Leaders Can Do to Grow: Simple Actions 30:13 What Stephanie Is Reading Now 31:20 Where to Learn More About Stephanie 32:54 Final Thoughts and Takeaways Stephanie Chung is the author of Ally Leadership: How to Lead People Who Are Not Like You. She is the first African-American president of a private aviation company. Under her leadership, her sales team consistently exceeded their nearly $1 billion annual quota, and with over 30 years of experience, Stephanie is a powerhouse in driving business growth and success. http://www.stephaniechung.com/ https://www.linkedin.com/in/TheStephanieChung/ https://www.facebook.com/TheStephanieChung/ https://www.youtube.com/@thestephaniechung https://www.instagram.com/TheStephanieChung/ This Episode is brought to you by... Flexible Leadership is every leader's guide to greater success in a world of increasing complexity and chaos.  Book Recommendations Ally Leadership: How to Lead People Who Are Not Like You by Stephanie Chung  Hers for the Taking: Your Path to the C-Suite & Beyond by Tracey Newell NIV, Maxwell Leadership Bible, 3rd Edition, Hardcover, Comfort Print: Holy Bible, New International Version by Thomas Nelson (Author), John C. Maxwell  Like this? 10 Truths for Winning in the People Age with Ilya Bonic How to Lead People Who Aren't Like You with Kelly McDonald Join Our Community If you want to view our live podcast episodes, hear about new releases, or chat with others who enjoy this podcast join one of our communities below. Join the Facebook Group Join the LinkedIn Group   Leave a Review If you liked this conversation, we'd be thrilled if you'd let others know by leaving a review on Apple Podcasts. Here's a quick guide for posting a review. Review on Apple: https://remarkablepodcast.com/itunes    Podcast Better! Sign up with Libsyn and get up to 2 months free! Use promo code: RLP  

On this episode of Bulture podcast:-How many adults do you think haven't had a birthday party as an adult?-Study shows Americans spend $10 billion more on Mother's Day than Father's Day.  -Celebrities and Influencers migrating over to Twitch. What's happening right now & WHY?-Damn thanks to Future Ciara and Bow Wow kids are siblings-Bow Wow slightly blames BET for not ‘booking' Ciara to perform “Like You” with him during the BET Awards 106 & Park tribute-Young Thug told Adin Ross he's done with music and is becoming a streamer after finding out Adin made $1 Million last month on Kick-Lil Wayne's daughter, Reginae Carter, calls out fans for saying 'Tha Carter VI' is trash.-Minnesota Rep. Melissa Hortman and her husband have sadly passed after being shot in what appears to be a targeted attack.-Florida Governor Ron Desantis Says Drivers Can Run Over Ice Protestors with Their Car If They Surround Your Car. Florida Sheriff Wayne Ivey warns anti-ICE protesters.-Joie Chavis vents & says she is tired of taking care of her children that she had with three different fathers Bow Wow, Future, and NFL's Trevon Diggs.-Doja Cat's recent interaction with a fan appears to have left her with some sour feelings.-Gail Gotti, Kurupt's ex-wife, confirms that DMX's track 'Party Up' was a diss to Kurupt and shares the backstory; she reveals that Snoop Dogg was feeding DMX information about Kurupt-Kendrick Lamar had everyone at his sold-out show in Drake's hometown Toronto going crazy to “Not Like Us.”-Drake shares DMs calling Canadian politician Jagmeet Singh a "goof" after he was spotted at Kendrick Lamar's show in Toronto-Drake's affiliated Top5 pulled up to Kendrick's hotel in Toronto, but the whole place was on lockdown for safety reasons-Rapper Just Brittany says she turned down a $10K single deal with Rick Ross:-Gospel singer Deitrick Haddon says the Gospel music industry needs a complete reset after the BET Award for Best Gospel/Inspirational Artist was awarded to GloRilla-Pluto continuing her run as she drops her new album “Both Ways” on June 20th-Authorities are seeking Antonio Brown's arrest for an attempted murder charge tied to last month's boxing event incident.-Angel Reese responds to the trolls mocking her with the phrase 'MeBounds' by turning it into a six-figure brand.-The party is over before it began! Women left stranded at Baltimore Airport & unable to return home after her ‘friend' told her she could stay with her for as long as she needed to After Flying from Atlanta for Pride Plans 

How to Get Your Adult Children to Like You? The easiest way to start is by being great in-laws to their spouse. Grace and I tackle this tough topic in this week's Real Marriage!As a thank you for listening to the podcast, here's my gift to you – one of my post popular (and controversial) books, New Days Old Demons: https://realfaith.com/fire/Follow on social media!YouTube: https://www.youtube.com/MarkDriscollMinistries?sub_confirmation=1Facebook: https://www.facebook.com/pastormarkInstagram: https://www.instagram.com/markdriscollTikTok: https://www.tiktok.com/@pastormarkdriscollTwitter: https://linktr.ee/markdriscoll Click here for more resources: https://linktr.ee/markdriscoll

In today's episode, Alan sits down with Stephanie Chung, a trailblazing aviation executive, leadership strategist, and best selling author of Ally Leadership: How to Lead People Who Aren't Like You. With over 35 years of aviation experience—from parking planes at Boston Logan Airport to becoming the first Black president of a major U.S. private aviation company—Stephanie brings a powerhouse perspective on modern leadership. Together, Alan and Stephanie unpack what it really means to lead diverse teams in an age of cultural complexity and generational divide. They dive into her powerful leadership framework—A.L.L.Y. (Ask, Listen, Learn, You Take Action)—and discuss how leaders can earn the right to be called allies, not just declare it. You'll learn: Stephanie's journey from the tarmac to the boardroom Why the acronym A.L.L.Y. is more than a buzzword—it's a roadmap for relational leadership The reality of leading across six generations in today's workforce How to overcome bias by rewiring your brain through exposure and empathy What it really takes to earn the title of "ally leader" (Hint: receipts required!) The surprising advantages of a diverse, opinionated team—and how to manage it Practical steps to ask better questions, lead with curiosity, and rally your people around a shared mission Quotes to Remember: “Don't overcomplicate leadership. Same stuff you learned in kindergarten—ask, listen, learn.” – Stephanie Chung “You can't self-anoint yourself as an ally. You have to earn it.” “Curiosity is the birthplace of better leadership.” Grab the Book: Ally Leadership: How to Lead People Who Aren't Like You Available wherever books are sold. Visit Stephanie's website for more info. Connect with Stephanie: Instagram: @thestephaniechung TikTok: @thestephaniechung Website: stephaniechung.com

Can you help us solve an interesting challenge? Can e-commerce warriors aid in the fight to rescue trafficked women and children?   On today's new podcast episode I met with the director of the world's most effective human trafficking rescue organization.   They are called Project Rescue and they've been operating with great integrity and effectiveness for a very long time. They aren't asking for your donation - they are asking for your CREATIVE IDEAS.   They've rescued thousands of women and children from human trafficking, but they need our help with a creative business challenge.   After they rescue someone from trafficking, there is still a lot of work to do. That work involves providing training and finding meaningful work for the recovering victim.   Today I'm asking that the business building warriors (LIKE YOU) of our listening community to put on your thinking cap and help think through some of the challenges that this organization is facing.   We prayed that God would send us the right people and the right ideas to help solve the challenges business challenges faced by Project Rescue. This episode is a call to action to help fight one of the greatest evils of our time. I think you'll be challenged and motivated as well as you hear the story of what's being done by great entrepreneurs around the world who are truly making an impact in caring for others.   Watch this episode on our YouTube channel here https://youtu.be/GiMnuiRUmcg   Show note LINKS:  Connect with Jon at JonathanBarratt@projectrescue.com Project Rescue's website ProjectRescue.com   TheProvenConference.com - Our May 2025 event - plan to join 100s of listeners to this show in Orlando May 29-31st, 2025!   JimCockrumCoaching.com - Get a free session with a business consultant on our team at 1-800-994-1792 / 1-801-693-1688 or TEXT US at 385-284-7701 (US & Canada only for Text)  ALL of our coaches are running very successful businesses of their own based on the models we teach here!   SilentSalesMachine.com - Text the word “free” to 507-800-0090 to get a free copy of Jim's latest book in audio about building multiple income streams online (US only) or visit https://silentjim.com/free11   My Silent Team Facebook group. 100% FREE! https://www.facebook.com/groups/mysilentteam - Join 80,000 + Facebook members from around the world who are using the internet creatively every day to launch and grow multiple income streams through our exciting PROVEN strategies! There's no support community like this one anywhere else in the world!   ProvenAmazonCourse.com - The comprehensive course that contains ALL our Amazon training modules, recorded events and a steady stream of latest cutting edge training including of course the most popular starting point, the REPLENS selling model. The PAC is updated for free for life!      

Steve Miller, a dynamic and innovative thought leader in personal branding and B2B marketing, is more than just an author. With ten books with 4 best seller, under his belt, including his recent Amazon #1 bestseller, "Uncopyable YOU: Create a Personal Brand that Gets People to Know You, Like You, Trust You, and Remember You," Steve has dedicated his career to helping individuals and solo entrepreneurs stand out in a crowded marketplace. His approach, which combines practical strategies with a deep understanding of human behavior, is not just insightful, but also practical, relatable, and easy to implement.   Connect with Steve LinkedIn: https://www.linkedin.com/in/steveamiller/ Website: https://www.beuncopyable.com/   Connect with David Hill Public Website: www.davidihill.com  Real Estate University: www.realestatelistings.club Facebook: https://www.facebook.com/davidihill/  LinkedIn: https://www.linkedin.com/in/davidihill  20-Minute call: https://www.davidihill.com/strategycall   FACEBOOK COMMUNITY Please follow and join my Group- https://www.facebook.com/groups/ptmastery  

On this episode we're going to learn how to tame a worry beast. Find full episode notes and transcript ⁠⁠here⁠⁠. Like You is listener supported. You can support the show by subscribing on ⁠⁠Apple Podcasts⁠⁠, ⁠Spotify⁠, or ⁠⁠Patreon⁠⁠. You can also support the show by shopping in ⁠⁠our online store⁠⁠ or purchasing songs from the show on ⁠⁠our Bandcamp page⁠⁠. Please send us a voice memo, drawing, or letter at ⁠⁠hello@likeyoupodcast.com⁠⁠. We play a voice memos from listeners either at the beginning of an episode or during the affirmation segment of the episode. If your child wants to be included, record a voice memo and send it to us. Your child can introduce themself and then say a favorite affirmation, sing a line from a Like You song, say what they like about the show, or share whatever they feel! Keep it short (10-20 seconds). For more info on how to record and send a voice memo, see ⁠⁠this post⁠⁠, or ⁠⁠click here⁠⁠. Like You is a production of ⁠⁠Perpetual Motion⁠⁠. The show is written and produced by Noah Glenn. The show's artwork was illustrated by ⁠⁠Mia Saine⁠⁠. Episode art is created by ⁠⁠Lindsey Glenn⁠⁠. This episode features original music by Noah Glenn.  Find us here: ⁠⁠Website⁠⁠ ⁠⁠Patreon⁠⁠ ⁠⁠Instagram⁠⁠ ⁠⁠Facebook⁠⁠ ⁠⁠Twitter⁠⁠ ⁠⁠Apple Podcasts⁠⁠ ⁠⁠Spotify⁠⁠ ⁠Stream our music!⁠

In this episode we talk about rainy day feelings and what we can do with them. ⛈️☔️ Find full episode notes and transcript ⁠⁠here⁠⁠. Like You is listener supported. You can support the show by subscribing on ⁠⁠Apple Podcasts⁠⁠, ⁠Spotify⁠, or ⁠⁠Patreon⁠⁠. You can also support the show by shopping in ⁠⁠our online store⁠⁠ or purchasing songs from the show on ⁠⁠our Bandcamp page⁠⁠. Please send us a voice memo, drawing, or letter at ⁠⁠hello@likeyoupodcast.com⁠⁠. We play a voice memos from listeners either at the beginning of an episode or during the affirmation segment of the episode. If your child wants to be included, record a voice memo and send it to us. Your child can introduce themself and then say a favorite affirmation, sing a line from a Like You song, say what they like about the show, or share whatever they feel! Keep it short (10-20 seconds). For more info on how to record and send a voice memo, see ⁠⁠this post⁠⁠, or ⁠⁠click here⁠⁠. Like You is a production of ⁠⁠Perpetual Motion⁠⁠. The show is written and produced by Noah Glenn. The show's artwork was illustrated by ⁠⁠Mia Saine⁠⁠. Episode art is created by ⁠⁠Lindsey Glenn⁠⁠. This episode features original music by Noah Glenn.  Find us here: ⁠⁠Website⁠⁠ ⁠⁠Patreon⁠⁠ ⁠⁠Instagram⁠⁠ ⁠⁠Facebook⁠⁠ ⁠⁠Twitter⁠⁠ ⁠⁠Apple Podcasts⁠⁠ ⁠⁠Spotify⁠⁠ ⁠Stream our music!⁠

On this episode we'll look ahead to the new year as we talk about changes and learn to pay attention to the things we like about ourselves.

Author of the new book "I Used to Like You...:(How Binary Thinking Divides Us) Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 170. This week, Tommy is joined by Vanessa Chouinard to recap Shahs of Sunset Season 2 Episode 3, “I Love You But I Don't Like You.” Sponsors: Get started today with 15% off using code THEDIRT at oneskin.co. The Best Hug in The World, written by Tommy Feight  My Two Cents, A parents Journal written by Tommy Feight The Till the Dirt Patreon is LIVE! https://www.patreon.com/tillthedirt?utm_campaign=creatorshare_fan Do you want to be featured on the pod? DM us at @tillthedirtpodcast on Instagram for a chance to have your question answered by Tommy and MJ. Till the Dirt Merch is here! https://tillthedirtpodcast.com/merchandise/ Do you want a personalized video from MJ or Tommy? https://www.cameo.com/mercedesjavid https://www.cameo.com/tfeightnyc If you would like to donate, send books or pick books from Tommy's Amazon wish list visit https://feightclub.com Learn more about your ad choices. Visit megaphone.fm/adchoices