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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

This week Kate and Betsy take a trip back in time to 1938. We were trepidatious, and can you blame us? Considering the era and the fact that James Daugherty created the first (and only? unclear) Newbery winner to be completely out-of-print due to shockingly overt racism, we entered into Andy and the Lion tentatively. Betsy remembered it as beloved of New York Public Library. Justifiably? This and other questions haunt us as we dive on in. A fascinating take on a book that has lasted far longer than most of its contemporaries to date. For the full Show Notes, please visit: https://afuse8production.slj.com/2026/07/05/fuse-8-n-kate-andy-and-the-lion-by-james-daugherty/

Political commentator James Mennie is a reporter, columnist and editor at the Montreal Gazette. He can be heard weekdays at 4:05 p.m. on Montreal Now with Aaron Rand.

On this episode of "The Bruce Exclusive", Bruce talks abut his own mindset after the Bills beatdown of the Carolina Panthers and how it informs his approach to Bills/Chiefs. Topics include Sean McDermott, Brandon Beane, Josh Allen, Terrel Bernard, Deone Walker, Michael Hoecht, James Cook, Joshua Palmer, Keon Coleman, Buffalo Bills free agents, Buffalo Bills draft picks, Buffalo Bills free agents, and more! "The Bruce Exclusive" is part of the Rumblings Cast Network! The Rumblings Cast Network family of shows includes Billieve, The Bruce Exclusive, Jamie D & Big Newt, Leading the Charge, and Unplugged. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ephesians Series: Ephesians 4:26a-The Command to Be Justifiably Angered By Unrepentant Sinful Behavior in the Christian Community-Lesson # 287

Ephesians Series: Ephesians 4:26a-The Command to Be Justifiably Angered By Unrepentant Sinful Behavior in the Christian Community-Lesson # 287

Tee forces Dan to listen and share his opinion on the Freddie Gibbs Alchemist album Alfredo 2. Dan shares what helikes and doesn't fully move with on the album and Tee is nothing but in love with this record. Box attended AEW Dynamite that was live here at the Wolstein Center and Comic and Daily Show correspondent Josh Johnson's Cleveland show that went to well they posted the set on YouTube the next day. We head to Reddit for some AITA which spun us into all sorts of asides and points of interest. We then go over our entertainment for the week but not before discussing our movie theatre seating preferences. Thanks for kicking it with us.See You Next Time, Team SKiM Tatum | TAYREL713 | Lunchbox | LISTEN | RSS | Apple Podcast | Spotify | TuneIn | Bluesky | Amazon Music | YouTube | Email | Amazon Wish List | Merch | Patreon  PHONE l 216-264-6311 #Cleveland #Ohio #LiveFromThe216 #SkinnySuge2 #AlbumReview #FreddieGibbs #Alchemist #Alfredo2 #Wrestling #AEWDynamite #RingofHonor #StandUp #Comedy #JoshJohnson #Reddit #AITA #CallofDuty #WarZone #Haven #NakedGun #FantasticFourFirstSteps #BezerkofGluttony #CrunchyRoll #DonkeyKongBananza#NintendoSwitch2 #NewHeights #TaylorSwift #HungerGames #TheBalladofSongbirdsandSnakes #Vinyl #Clipse #LetGodSortEmOut #JID #GodLovesUglyAlternative Title – Witcho Ol Lonely AssLinksJosh Johnson Cleveland SetJosh Johnson Drake VS Cleveland Explained to White PeopleRedditAITA for refusing to comply by my ex-wife's husband's rules about what my kids can eat so they can go to their mom's house?AITA for living with my boyfriend for free?AITAH For Telling My GF "First Come First Serve"?

THE BROTHERS FROM BROOKLYN ARE BACK AGAIN WITH ANOTHER ALL NEW EPISODE. " JUSTIFIABLY ANGRY" COME JOIN YOUR'RE FAVORITE DUO FOR ANOTHER WILD RIDE THE THE INFORMATION HIGHWAY. COME HAVE A LISTEN AS THEY GIVE THEIR OPINION ON THE TRAVIS HUNTER DIVORCE, ARE THEY GONNA INDORSE CURTIS SLIWA FOR MAJOR? THE S.T.D. DIAGNOSING CONDOMS AND MUCH MUCH MORE. COME KICK UP YOUR FEET AND ENJOY THE RIDE LISTEN LAUGH AND IF YOUR'RE LUCKY YOU JUST MIGHT LEARN SOMETHING. @TWOGGZZINAPOD @DJGOLDFINGERNYC @IRONGLENN BRACE YOURSELF IT'S A CRAZY TRIP.

Mix Tape (Binge/Foxtel, 4 episodes)An Australian/Ireland co-production telling the story of a teenage romance in Sheffield which ends abruptly with some unanswered questions. Later in life the former lovers reconnect which impacts their current relationships. Young lovers Alison and Daniel steel the show. Mr Loverman (Binge/Foxtel, 8 episodes)Lennie James stars as Barry. The flamboyant dresser is a celebrity in Hackney, but he carries a secret none in the family or his community know about. Will revealing it cause pain for his family and friends? Echo Valley (AppleTV+ movie)Justifiably being billed as an “edge-of-your-seat thriller” starring Julianne Moore as Kate, who goes to extraordinary lengths to help her troubled daughter Claire, played by Sydney Sweeney.See omnystudio.com/listener for privacy information.

Nicole Kidman is back running her unconventional wellness retreat, we get to learn a lot about the life and times of Pee-Wee Herman and there’s a messy child mix-up in Playing Nice. • Nine Perfect Strangers (S2, Prime Video, 8 episodes) The new season relocates the action to the Austrian Alps and features nine new characters who have been lured to attend another unconventional wellness retreat led by Masha Dmitrichenko, portrayed again by Nicole Kidman. • Pee-Wee As Himself (Max, 2 episodes) Justifiably labelled as the definitive portrait of the comedic performer, and a window into his never before discussed personal life. Woven together from over 40 hours of interview footage filmed before Paul Reubens’ premature death in 2023, 1,000 hours of archival footage, and tens of thousands of never-before-seen photographs from his personal collections. • Playing Nice (SBS, 4 episodes) Two families, one devastating secret involving their young families. James Norton, Niamh Algar and Jessica Brown Findlay star. Lives unravel and loyalties are tested in the gripping thriller.See omnystudio.com/listener for privacy information.

Warriors and their fans are getting real confident again, and with justified reasons; Ja Morant has got himself into foolishness again with the NBA over more gun gestures, and we had a spirited talk about that; After his solid pro day, will Shedeur Sanders go Top 3 in the NFL Draft?; And who will be playing for the natty on Monday night with the Final Four national semifinals; Plus a shoutout to the great Julio Jones retirement!; It's the first OVERALL WEEKEND show of April 2025, as Andrew is joined by Eric, Brando, JR, Nonsense, JXsports, DJ Notorious and Tate!

When will celebrities learn that crying online does not impact politics?   Subscribe to my YouTube! https://www.youtube.com/@HannahCox/featured   Follow me! Twitter: https://twitter.com/HannahDCox TikTok: https://www.tiktok.com/@hannahdcox Instagram: https://www.instagram.com/hannahdanielle_cox6/reels/ Facebook: https://www.facebook.com/hannahdaniellecox7/

When will celebrities learn that crying online does not impact politics?   Subscribe to my YouTube! https://www.youtube.com/@HannahCox/featured   Follow me! Twitter: https://twitter.com/HannahDCox TikTok: https://www.tiktok.com/@hannahdcox Instagram: https://www.instagram.com/hannahdanielle_cox6/reels/ Facebook: https://www.facebook.com/hannahdaniellecox7/

Check out Campaigns Never Die!: https://www.indiegogo.com/projects/ready-to-play-dnd-adventures/reft/7129930/allthingsdndWorlds, adventures, chapters, encounters, NPCs, characters, creatures - the universe is at your fingertips,Support the show

Tune in to Episode 178 of The Michael Anthony Show in which many cultural, political and sporting topics are explored throughout. Motor Neurone Disease, nicotine use and quitting, sex party culture, teenage romance and philosophy are all delved into, as is the US Presidential Race, golf and the Olympics. An in depth discussion on the English national team also features, as does the music of MJ Lenderman.Tune in. Respect to the listeners. Support the Show.

When loyal FC2.0 listeners have built their week around the expectation of our podcast being delivered by Thursday midday and it shows up on Saturday morning, confidence is shaken. Justifiably so. Having fun is one thing. Chilling with friends is OK, but there are times we simply need to get the right things done on time. Is that so hard to ask? Can we just agree it's OK to move directly to the mission that brought us together without the need to be coddled by preliminary pleasantries? Apparently not, as Dr Dave learned on location among the smarty-smart crowd in Houston. What's love got to do with it?

PGA has been officially 'BORED' the hell up again! Well, I have some suggestions if they care to spice it up some!ICC is seeking arrest warrants on Israeli and Hamas leaders! Justifiably 100%Justice Alito proves himself to be a TRULY ANTI-AMERICAN SPOILED DISHONORABLE PRINCETON PUSSY! Well, the American People Just might have to remove his arrogant ass!POINTELSS TRUMP SPEECHES over the weekend (actual audio thanks to Brian Tyler Cohen)YOUNG GUNS III starring NOT Emilio Estevez?! Hmmmmmmmm Kiefer and Lou Diamond might be back!Commencement and Valedictorian speech advice THAT IS QUITE WORTHWHILE!

I don't mean to toot my own horn but I stayed GIGGLING this entire episode. First I tell you guys about content I love consuming lately, then we get into the listener submissions about crazy shit you guys have done (I only judge you a little) and at the end there's a special treat of me reading my tumblr to you all. I love myself and I hate myself. Enjoy, you crazy bitches! TODAY'S SPONSORS:BETTERHELP: This episode is sponsored by BetterHelp. Go to BETTERHELP.COM/BAD to get 10% off your first month of therapy //CLEAN SIMPLE EATS: Go to CLEANSIMPLEEATS.COM and use the code BAD10 for 10% off of your order! // ATHENA CLUB: Get 20% off when you go to ATHENACLUB.COM and use the code BAD at checkout! // Please note that this episode may contain paid endorsements and advertisements for products and services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode.Produced by Dear Media.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

I don't mean to toot my own horn but I stayed GIGGLING this entire episode. First I tell you guys about content I love consuming lately, then we get into the listener submissions about crazy shit you guys have done (I only judge you a little) and at the end there's a special treat of me reading my tumblr to you all. I love myself and I hate myself. Enjoy, you crazy bitches! TODAY'S SPONSORS:BETTERHELP: This episode is sponsored by BetterHelp. Go to BETTERHELP.COM/BAD to get 10% off your first month of therapy //CLEAN SIMPLE EATS: Go to CLEANSIMPLEEATS.COM and use the code BAD10 for 10% off of your order! // ATHENA CLUB: Get 20% off when you go to ATHENACLUB.COM and use the code BAD at checkout! // Please note that this episode may contain paid endorsements and advertisements for products and services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode.Produced by Dear Media.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

When to give tough love.

We've spent a lot of time in recent years talking about chicken. Justifiably so — demand for the protein surpassed beef as younger consumers in particular prefer chicken's health-halo, versatility, and portability. But during all of this, a number of chains have been reworking their burgers, pouring time and money into upgrading the sandwiches themselves, as well as the equipment used to make them, ensuring their core products are top of mind for an increasingly sophisticated consumer who still very much loves beef. Among them is McDonald's. And when McDonald's makes adjustments, the industry is wise to pay attention. Other brands sharpening their focus on burgers recently include Red Robin, Jack in the Box, and Mellow Mushroom.

In case you've been living underground the past week, a major story broke about police being called to break up a fight happening around a secret tunnel that was dug beneath the Chabad world headquarters in New York City. Justifiably, plenty of questions were raised: who made this tunnel? Why? How long ago? Why were police called? Is any of this going to fan the burning flames of antisemitism and anti-Zionism? Bonjour Chai host Avi Finegold made some calls and read through the media coverage to unearth the truth. Before then, he and co-host Phoebe Maltz Bovy discuss the national headlines made by a public spat in Windsor, Ont., and how the bizarre culmination of the Ivy League Congress hearings about antisemitism have devolved into internal right-wing fights that have much less to do with Jews than you'd think. Credits Bonjour Chai is hosted by Avi Finegold and Phoebe Maltz Bovy. Zachary Kauffman is the producer and editor. Michael Fraiman is the executive producer. Our theme music is by Socalled. The show is a co-production from The Jewish Learning Lab and The CJN, and is distributed by The CJN Podcast Network. Support the show by subscribing to this podcast, donating to The CJN and subscribing to the podcast's Substack.

In today's episode I discuss the attack on Israeli Civilians by the Palestinian Terrorist Organization Hamas & the resulting justifiable war to eliminate Hamas by the IDF! Sadly American college students & other citizens are in full support of Hamas & make excuses in an attempt to justify the attacks on men, women, children & elderly Holocaust Survivors killing many & taking nearly 300-hostages. --- Send in a voice message: https://podcasters.spotify.com/pod/show/conservativeatheist1970/message

There's two Kenzie's out there, that should scare everyone.  Chicago's best morning radio show now has a podcast! Don't forget to rate, review, and subscribe wherever you listen to podcasts and remember that the conversation always lives on the Q101 Facebook page.  The Q101 Morning Crew is live every morning from 6a-10a on Q101.    Subscribe to our channel HERE: https://www.youtube.com/@Q101 Like Q101 on Facebook HERE: https://www.facebook.com/q101chicago Follow Q101 on Twitter HERE: https://twitter.com/Q101Chicago Follow Q101 on Instagram HERE: https://www.instagram.com/q101chicago/?hl=enSee omnystudio.com/listener for privacy information.

JAMES MENNIE, Montreal Gazette

QUICK LISTEN | “Only two points separating them on the table…based on form Warriors three straight wins…Latrell Mitchell out…justifiably favourites…they've found their mojo…” Aiden McLaughlin on NRL WAR v RAB Learn more about your ad choices. Visit megaphone.fm/adchoices

Join the channel: https://www.youtube.com/channel/UCn8mAXIRVniC4Y9zvk_yMWQ/join | Buy our graphic novel: http://adamfriended.com/supervillains | Streamlabs instead of a Superchat? https://streamlabs.com/sitchandfriended/tip | Support Us On Patreon! https://www.patreon.com/sitchandadam | Support us on Subscribestar: https://www.subscribestar.com/sitch-adam-show | Sitch and Adam Merch! https://sitchandfriended.threadless.com/ Podcast feed: https://podcasters.spotify.com/pod/show/psa-sitch-adam-friended Sitch's Main Channel: https://www.youtube.com/channel/UCyGEPFftZEOU1v6RtU73ylA Adam's Channels Think Club: https://www.youtube.com/channel/UCCAH6Iole0g5KZc2I1mScPA Adam Friended: https://www.youtube.com/channel/UCy6Q3wg-PgsgO2XtQxZpZEg Secret Channel: https://www.youtube.com/channel/UCKH2LZklKOfEJ1drLtiobQQ#redpill #ethanklein #justpearlythings #feminism #woke #politics #comedy #debate #sitchandadam 0:00 INTRO! TIM POOL VS EMMA VIGELAND with Special guests Sean (Actual Justice Warrior) and Brianna Wu! 2:50 Brianna Wu APOLOGIZES to Actual Justice Warrior?! 3:32 (VIDEO START!) Tim Pool called SAM SEDER a GRIFTER for CRITICIZING his MUSIC? 15:23 (BACK TO VIDEO) Why did Sam Seder REFUSE to go on TIMCAST then BLAME TIM POOL for backing out! 26:30 Did Brianna Wu support BERNIE SANDERS or HILARY CLINTON? 29:35 Is Tim Pool REALLY Pro Choice? 37:02 (BACK TO VIDEO) Emma Vigeland is JEALOUS of TIM POOL! Who makes MORE LEFTIST CREATORS or CONSERVATIVE ONES? 50:38 Are CONSERVATIVE PLATFORMS targeting CONSERVATIVE CREATORS?! What's going on with RUMBLE?! 54:37 (BACK TO VIDEO) Is TIM POOL Misrepresenting the MINORITY REPORT?! Did Emma INTENTIONALLY DERAIL TIM'S STREAM? 1:04:00 Did TIM POOL say there was going to be a RACE WAR or CIVIL WAR and VICTIM BLAMING?! 1:06:00 How would you feel if you didn't eat breakfast yesterday, Brianna? 1:21:30 (BACK TO VIDEO) Emma CALLS OUT Tim Pool for claiming a CRIME was a HOAX! 1:33:00 Is CRIME DOWN in New York? Actual Justice Warrior DESTROYS Emma with the ACTUAL STATISTICS! 1:56:00 Actual Justice Warrior thinks crime ISN'T the cause of POVERTY?! 2:18:00 Did Trump DAMAGE the FBI? 2:26:00 Is there a RISE in t3rrorism on the RIGHT?! 2:34:20 (BACK TO VIDEO) Emma Vigeland thinks CRIME in New York doesn't EXIST?! 2:55:21 (BACK TO VIDEO) Poverty DRIVES people further into POVERTY! Is SOCIETY ENCOURAGING VIOL3NCE?! 3:19:36 (BACK TO VIDEO) How can we discourage CRIME and REPEAT OFFENDERS? 3:33:09 Emma MISREPRESENTS Actual Justice Warrior to call him R@cist! 3:50:00 (BACK TO VIDEO) Sean DESTROYS Emma for STRAW MANNING him! STOP AND FRISK! 3:56:00 (BACK TO VIDEO) Let's POWER THROUGH the Crime stuff to get to the JUICY STUFF! 4:08:00 Emma HAS NO IDEA what Sean's ACTUAL POSITIONS are! 4:24:00 Tim Pool your ANECDOTES AREN'T good EVIDENCE that West Virginia's ELECTION is up in the air! 4:27:00 (BACK TO VIDEO) Tim Pool HATES Ron DeSantis over TRUMP AI PICTURES?! 4:33:50 Emma LOVES how DONALD TRUMP handled COVID? (WARP SPEED) 4:37:52 What was the MOTIVE behind CLUB Q? 4:49:00 People don't know what Trans people ACTUALLY are! 5:00:00 Gender affirming care and SOCIAL CONTAGION. 5:09:00 Non Binary people are NOT Trans according to Brianna Wu?! 5:14:15 Is Brianna Wu AGAINST the use of PUBERTY BLOCKERS?! 5:16:40 TIM WHAT RON DESANTIS POLICIES DO YOU LIKE? 5:25:00 Why some books SHOULD be banned! 5:57:00 Emma was a DISHONEST ACTOR on TIMCAST IRL! 6:21:00 Non Binary people are NOT trans and don't need gender affirming care? 6:30:40 Brianna Wu Leaves the Stream! Thank you for coming on Brianna! 7:09:00 (BACK TO VIDEO) Emma LIES about Puberty Blockers being completely reversible!! 7:37:13 Sean Leaves + SUPERCHATS! 8:05:00 (BACK TO VIDEO) WHAT IS THE REAL DISSIDENCE RATE?! 8:28:40 Emma is IN FAVOR of OVERTURNING ROE VS WADE?! 8:30:00 "WHY DOES YOUR CONTENT APPEAL TO N@ZIS?!" - Emma being THE WORST 8:44:00 TIM POPS OFF ON EMMA! JUSTIFIABLY! 8:49:40 (BACK TO VIDEO) LET THE ROAST CONTINUE!

KFI's Tech Reporter Rich DeMuro is back for another edition of 'Tech Tuesday'! Apple is making an attempt to trademark their logo, Rivian is adopting the Tesla charging standard, and Google's first foldable phone has been delayed a couple of weeks and it could impact the demand. Then, bosses are fed up with remote work for four main reasons, and some are undeniable. And if you're lonely or socially isolated, you might have a higher risk of early death - that's according to a large new study.

Your guess is as good as mine, BUT I have to tip my hat to the man for getting some things DONE! Good job MarkWayne! THANK GOD the debt ceiling has been extended and COMPROMISE was found!I have the list of yea's and nays!Daymond John might be getting sued again! Justifiably? Be careful!The McDonalds diet?!Wealthiest self made women!!!!Another cruise ship jumper with ACTUAL AUDIO!CHEAP INEXPENSIVE BRAD PITTIFUL WINE STOCK IS SELLING LIKE RIUNITE!

“Neurology is closer to internal medicine than any other specialty. Justifiably, neurologists are reverting back to their role as internists of the nervous system”-Jose Biller. In this episode of the Neurophilia Podcast, we discuss the relationship between neurology and medicine, how to improve communication between primary and secondary care, specialization in medicine, what makes a "good consult," and the importance of patient advocacy in all fields of medicine. We are joined by Neurophilia Co-host, Dr. Blake Buletko, and two very special guests, Dr. Deborah Plate and Dr. Austin Fredrickson. #dailyneurologyuplifters Dr. Blake Buletko is a vascular neurologist at the Cleveland Clinic. He completed his residency and fellowship training at the Cleveland Clinic and was the former medical director of their mobile stroke program. In addition to his clinical responsibilities, Dr. Buletko serves as an Assistant Professor at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and is the current Program Director of the Adult Neurology Residency program for the Cleveland Clinic.Dr. Deborah Plate is a board-certified Family Medicine Physician. She is currently the Chair and Clinical Associate Director at the Center for Family Medicine residency program at Cleveland Clinical Akron General. She has a private practice at CFM and loves caring for her patients, some of whom she has cared for 30 years. Dr. Austin Fredrickson is an associate professor of internal medicine at NEOMED and a board-certified general internist practicing primary care in his hometown of Salem, Ohio. He serves in medical leadership positions at the state and national levels, and is currently his county's deputy coroner, although Dr. Fredrickson's greatest claim to fame may be that he was a pupil of the infamous Dr. Deborah Plate. References:Aminoff, M. (n.d.). Neurology is not enough - aan.com. Neurology is Not Enough. Retrieved March 30, 2023, from https://www.aan.com/globals/axon/assets/4570.pdf Lanska DJ. The Interface of Neurology & Internal Medicine. JAMA. 2008;299(8):960–961. doi:10.1001/jama.299.8.960Majersik JJ, Ahmed A, Chen IA, Shill H, Hanes GP, Pelak VS, Hopp JL, Omuro A, Kluger B, Leslie-Mazwi T. A Shortage of Neurologists We Must Act Now: A Report From the AAN 2019 Transforming Leaders Program. Neurology. 2021 Apr 30:10.1212/WNL.0000000000012111. doi: 10.1212/WNL.0000000000012111. Epub ahead of print. PMID: 33931527.Morrish P. The changing relationship between neurology and general practice in the UK. Br J Gen Pract. 2009 Aug;59(565):599-604. doi: 10.3399/bjgp09X453837. PMID: 22751237; PMCID: PMC2714785.Murray TJ. What should a family physician know about neurology? Can Fam Physician. 1990 Feb;36:297-9. PMID: 21234042; PMCID: PMC2280633.Sanky, C., Gentile, C., Ren, J., Bortnick, E., & Krieger, S. (2023). Education research: The inappropriate consult. Neurology: Education, 2(1). https://doi.org/10.1212/ne9.0000000000200044 Swarztrauber K, Vickrey BG. Do neurologists and primary care physicians agree on the extent of specialty involvement of patients referred to neurologists? J Gen Intern Med. 2004 Jun;19(6):654-61. doi: 10.1111/j.1525-1497.2004.30535.x. PMID: 15209604; PMCID: PMC1492387.Support the show

Michigan football has made 5 additions through the transfer portal and counting in its time off between the Big Ten title and Fiesta Bowl vs. TCU. The 2022 Wolverines are built to compete for a national championship and the latest batch of additions suggests that 2023 (and beyond) could have a similar flavor. Each Monday night at 6 p.m. ET, Chris Balas, Clayton Sayfie and Anthony Broome of The Wolverine will discuss the biggest storylines from the weekend and take your questions live on our YouTube channel. Sayfie and Broome held down the fort this week. Thanks to our Monday night live show sponsor, The Rogue Shop! Get 10% off your order with promo code THEWOLVERINE here. Learn more about your ad choices. Visit megaphone.fm/adchoices

Get Justifiably Angry #shorts #narcissisticabuserecoverycoaching #coachangieatkinson #angieatkinson Original Video: https://youtu.be/GeAhO_qTtxUSubscribe to Narcissistic Abuse Recovery with Angie Atkinson on Soundwise

Wonderfully done...

Dubstep Wars is a series we're incorporating into the show which takes a serious look at the development of Dubstep in the US. How it got there, how it grew, and what happened then. This is the second in the series, but we've got so much more than that on this episode. Joe Nice is an actual hero of underground music in North America. Justifiably regarded as the first person on that side of the pond to push the Dubstep sound, he's also a political activist of deep knowledge and passion. Regular listeners will know that I love digging into political matters with music people and we absolutely do that here, including on whether musicians have a duty to be political, the differences between the US and Europe, and the issue of censorship in the media. We also discuss topics including the cutting of dubplates, AOL Instant Messenger, and the legendary NYC Dubstep institution that was Dub War. This is our longest conversation to date on the show and one that I absolutely loved having. Joe is an awesome guy and I can guarantee that you will love his stories and energy. No releases on Hotflush labels this week but we just announced the https://bakongo.bandcamp.com/album/onezerofive (next collab between myself and Bakongo), which also includes a remix from the totally awesome https://hassanaboualam.bandcamp.com/ (Hassan Abou Alam). And don't forget to check the https://annakost.bandcamp.com/album/waste-of-skin (new Anna Kost EP) if you haven't already. It's really good. Join us in the https://discord.com/invite/98423K8gap (Hotflush Discord Server) Listen to all the music discussed on the show via the https://open.spotify.com/playlist/6gs2nOUls8kP3UmMVPWhL3?si=00ba0908e4c14c4f (Not A Diving Podcast Spotify playlist) For more links and other info visit https://scubaofficial.io (the official Scuba website) Follow Scuba: https://twitter.com/scubaofficial (twitter) https://instagram.com/scubaofficial (instagram) http://scubaofficial.bandcamp.com/ (bandcamp) http://spoti.fi/scuba (spotify) https://music.apple.com/us/artist/scuba/220276686 (apple music) https://www.beatport.com/artist/scuba/1550 (beatport)

social commentary --- Support this podcast: https://anchor.fm/supasly75/support

We often bitch and moan about the state of our politics. Justifiably so. There are glaring weaknesses in all of our main political parties- from the governing African National Congress to the two biggest opposition parties, Democratic Alliance and Economic Freedom Fighters.Many smaller parties emerged in recent years, some doing well during the recent local government elections, but even they come with downsides such as populism and xenophobic sloganeering from their leaders. This raises an obvious and very urgent set of questions: what's the alternative to our main political parties? Can we change the political landscape as civil society? Are there alternative pathways to a more just South Africa beyond formal party politics? Can we and should we reduce the power of politicians?I invited Mandla Isaacs to work through these issues with me. He is a political economist, public policy analyst and a Mason Fellow at the Harvard Kennedy School of Government. Enjoy this latest episode of In The Ring and remember to subscribe to the podcast.

Eno, Britt and DVR discuss the early-season results of the current baseball -- the ultimate goal of trying to make changes to the game on a year-to-year basis, the Mets' justified frustration in the wake of several hit batters, weekly awards, and much more.  Follow Eno on Twitter: @enosarris Follow Britt on Twitter: @Britt_Ghiroli Follow DVR on Twitter: @DerekVanRiper Get six months of The Athletic for just $1 per month at theathletic.com/baseballshow Learn more about your ad choices. Visit megaphone.fm/adchoices

Eno, Britt and DVR discuss the early-season results of the current baseball -- the ultimate goal of trying to make changes to the game on a year-to-year basis, the Mets' justified frustration in the wake of several hit batters, weekly awards, and much more. Follow Eno on Twitter: @enosarrisFollow Britt on Twitter: @Britt_GhiroliFollow DVR on Twitter: @DerekVanRiperGet six months of The Athletic for just $1 per month at theathletic.com/baseballshow Hosted on Acast. See acast.com/privacy for more information.

The long-time Red Wings zamboni driver was fired for relieving himself into a garage drain

Edited highlights of our full conversation. This week's guest is Chris Hirst. He's the Global CEO of Havas Creative - they describe themselves as the world's most integrated advertising and communications business. He's also the author of an award winning book, No Bullsh*t Leadership. Which means he's given a lot of thought to the art of leading a creative business. So much has been written and said about leadership. Libraries full of thinking and advice. Strategies and objectives and theories and case studies and oceans-full of best practices. We humans are complex beings. Biological entities fueled by emotions and very often willing to make decisions and take actions which, even after a moment's thought, work against our own best interests. No wonder that the Doomsday Clock is set at 100 seconds to midnight. Leadership requires you take people on a journey. From where we are today. To a better version of tomorrow. A lot of attention gets paid to the destination. Justifiably so. After all, to slightly misquote Alice in Wonderland, if you don't care where you're going, any road will do. But as Chris points out, the other end of the journey, the honest acknowledgement of where you are today, is often missing for fear that someone will be upset or offended or will judge the progress so far as inadequate. Honesty about the challenges you're trying to overcome is where leadership begins. Without that honesty, at least two things become true. First, every time you think you're making a decision, you're making it through a distorted lens. Which means they're not decisions, it's a guess. And second, if you won't trust yourself with the truth, why should anyone else trust you? So, trust yourself and start with truth.

This week's guest is Chris Hirst. He's the Global CEO of Havas Creative - they describe themselves as the world's most integrated advertising and communications business. He's also the author of an award winning book, No Bullsh*t Leadership. Which means he's given a lot of thought to the art of leading a creative business. So much has been written and said about leadership. Libraries full of thinking and advice. Strategies and objectives and theories and case studies and oceans-full of best practices. We humans are complex beings. Biological entities fueled by emotions and very often willing to make decisions and take actions which, even after a moment's thought, work against our own best interests. No wonder that the Doomsday Clock is set at 100 seconds to midnight. Leadership requires you take people on a journey. From where we are today. To a better version of tomorrow. A lot of attention gets paid to the destination. Justifiably so. After all, to slightly misquote Alice in Wonderland, if you don't care where you're going, any road will do. But as Chris points out, the other end of the journey, the honest acknowledgement of where you are today, is often missing for fear that someone will be upset or offended or will judge the progress so far as inadequate. Honesty about the challenges you're trying to overcome is where leadership begins. Without that honesty, at least two things become true. First, every time you think you're making a decision, you're making it through a distorted lens. Which means they're not decisions, it's a guess. And second, if you won't trust yourself with the truth, why should anyone else trust you? So, trust yourself and start with truth.

If the marketers of the COVID vaccines were moral and humane, Omicron would be unlikely. Blame an immoral economic system with its protagonists. A pandemic requires one to forget about profits to save humanity. Chuck Todd dropped false equivalence between Dems & Republicans? Aren't you embarrassed?: Chuck Todd showed a level of personal disgust with the politicians he schmoozed with as he temporarily dropped the false equivalence. ‘Time for Debate… Is Over': Sanders Demands WTO Approve Vaccine Patent Waiver: “Let us be clear: to deny lifesaving healthcare anytime, but particularly during a global health crisis, is unacceptable.” U.S. Sen. Bernie Sanders of Vermont said Tuesday that the World Trade Organization's decision to postpone its biannual Ministerial Conference due to the Omicron variant is no excuse to further delay approval of a temporary waiver for coronavirus vaccine patents, which are constraining the global supply of lifesaving shots. Foul: Western countries penalize African countries for exposing Omicron. It may have started in the West. --- If you like what we do please do the following! Most Independent Media outlets continue to struggle to raise the funds they need to operate much like the smaller outlets like Politics Done Right SUBSCRIBE to our YouTube Channel here. LIKE our Facebook Page here. Share our blogs, podcasts, and videos. Get our books here. Become a YouTube PDR Posse Member here. Become a Politics Done Right Subscriber via Patreon here. Become a Politics Done Right Subscriber via Facebook here. Consider providing a contribution here. Please consider supporting our GoFundMe equipment fund here. --- Send in a voice message: https://anchor.fm/politicsdoneright/message Support this podcast: https://anchor.fm/politicsdoneright/support

We talk about putting language to uncomfortable encounters, “I see what you did there” moments that are streamlined and brilliant, and why you don't need (and probably shouldn't have) a strict schedule for yourself as a writer. We also discuss vibrant settings, happy accidents, and how Amanda became an entrepreneur. Amanda Jayatissa grew up in Sri Lanka, completed her undergrad at Mills College, CA, and lived in the UK before moving back to her sunny little island. She works as a corporate trainer, owns a chain of cookie stores, and is a proud dog-mum to her two, spoiled huskies. ​ Amanda is represented by Melissa Danaczko from Stuart Krichevsky Literary Agency, Inc. ​

Senator Chuck Schumer called out Republicans on the Senate floor. Our favorite DINO was upset that Schumer went to the floor with the truth. --- Support this podcast: https://anchor.fm/egbertowillies/support

Daniel: Daniel 4:35-Nebuchadnezzar Acknowledges That Mankind Is Nothing In Comparison To God And No One Can Overcome His Sovereign Will Or Justifiably Question His Decisions-Lesson # 138

The guys are back and share their experiences traveling with children as well as some ideas to help in your own vacation planning (when we can take vacations safely again?). Plus, it's part two of our interview with Thomas Fletcher. We put him on the hot seat with some rapid fire father fodder. And what do you do when your kid traps you in the bathroom? --- Send in a voice message: https://anchor.fm/better-off-dad-pod/message

The Dolphins are entering the third season of this regime. The first time in a long time where legitimate continuity has seemingly been established. Despite improvement each season, the NFL world continues to insist that the Miami Dolphins will struggle to repeat their success in this upcoming season. In this episode we ask why, looking at recent history as well as the premises surrounding the current expectations for this team. Should we be more hopeful than we are being lead on to be? Join us as we discuss this and more, including an update on the Xavien Howard front, as well as going through the weekly poll question on the PhinsPod YouTube Channel!Let's Dive In and Fins Up!

Rep. Ro Khanna was on point about these billionaire astronauts being parasites to us all. And it is much deeper and exploitative. MSNBC Hallie Jackson got one dissenter from the gullible and programmed euphoria surrounding newly minted billionaire astronaut Jeff Bezos and his Blue Origin team successful 10-minute roundtrip to space. Democratic Congressman Ro Khanna hit the nail on the head. "I don't think I have heard of a bigger oxymoron than talking about billionaires going up into space and then using the word "democratizing," Rep. Ro Khanna said. "Here are the facts. Amazon has refused to pay any tax in 2017 or 2018. Jeff Bezos didn't pay tax two of those years. And now they are spending millions of dollars that could have been taxed, using that to go up into space."--- If you like what we do please do the following! Most Independent Media outlets continue to struggle to raise the funds they need to operate much like the smaller outlets like Politics Done Right SUBSCRIBE to our YouTube Channel here. LIKE our Facebook Page here. Share our blogs, podcasts, and videos. Get our books here. Become a YouTube PDR Posse Member here. Become a Politics Done Right Subscriber via Patreon here. Become a Politics Done Right Subscriber via Facebook here. Consider providing a contribution here. Please consider supporting our GoFundMe equipment fund here. --- Support this podcast: https://anchor.fm/egbertowillies/support

This week: new MUSIC MUSIC MUSIC from Czarface x MF Doom and Stöner, and an all-star Gang Of Four tribute album. Also: basket cases, getting your wife to stop talking to you, comic books and wrestling promos, backward music opinions, impending doom, coastal elites, influences' influences, not great man, a look you haven't heard, ‘umlaut' doesn't actually have an umlaut, doing it live, lowered expectations, nancy boys, go folk yourself, mixed reviews, avoiding social media, anyway here's the new Wonderwall, dead kills, Nashville: it's not just Cletus music, it's soccer Moses not soccer Jesus for soccer God's sake, spoilers: he did not manage to report in from the road that week, and boy did these sporting takes age well. Next week: new albums from Tigercub, Troy Kingi and a (very) joker from Japanese-Quebecois fusion experience TEKE::TEKE. Recent review albums are in our current album review playlist on Spotify, with earlier stuff in our 2021 review archive, along with our 2021 tripping balls mixtape featuring our favourite tracks from new albums we've reviewed this year. The full list of all the albums we've ever featured on the show and Beeso's playlist for his boys are also available elsewhere on the internet. BALLS and tripping balls are available on their own RSS feeds, as well as being found together on Omny Studio,Spotify and Apple Podcasts (feel free to subscribe, rate and review) - and we welcome your reckons via Twitter, Facebook and email. See omnystudio.com/listener for privacy information.

In the Travel News, Southwest and American are short staffed and it's starting to show on the front line, Hawaii is dropping the quarantine for vaccinated travelers and if you were a fan of the TV show Friends, we have a cruise to tell you about, where you can relive those TV memories. Joe Brancatelli, author of the Joe Sent Me web site, is ranting about airlines again. Justifiably so, as fares go up, vouchers expire and the airlines continue to drink at the public trough. Mark explains Joe's concerns, including a new COVID surcharge that didn't stick. Chris Elliott joins us to explain why the much anticipated post-COVID travel bargains didn't materialize, and reminds people the cost of not behaving yourself in the sky could be a lot more than you bargained for. If you are considering a visit to Disneyland anytime soon, you won't want to miss our special segment on Disney's two California theme parks. Tips on what to visit, and how to maneuver post-COVID

This episode is about motivating someone in your sphere of influence. Justifiably you're asking why you should do that? Why should you bother becoming someones mentor? It's about paying it forward. And particularly these dark times can use a few good boys n gals to help others. So buckle up! #selfimprovement #motivation #selflove #selfcare #selfdevelopment #inspiration #success #personaldevelopment #mindset #love #selfhelp #loveyourself #awareness #personalgrowth #mentalhealth #happiness #positivevibes #life #goals #selfconfidence #selfawareness #mindfulness #positivity #growth #growthmindset #selfworth #photooftheday #podcast #happy #followme Web: www.theverybestpodcastintheworld.com / Email theverybestpodcastintheworld@gmail.com / Instagram http://instagram.com/bestpodcastintheworld/ / Twitter http://twitter.com/BestPodcastInT1 / Minds https://www.minds.com/theverybestpodcastintheworld/ / Youtube https://www.youtube.com/channel/UCRDtwAguIAQ_g5TQOMtnpkA

Harborite Caleb Burks shares a message called “Justifiably Humble”, where we learn how to humble ourselves before God to receive his blessing for our lives.

Defined as simply, no more than, limited but are your really JUST a stay at home parent, JUST a house wife/husband, JUST a cashier or JUST a student? If you are where you want to be in this world be JUSTifiably proud and drop the word JUST from your vocabulary. Tune in for more.

T Lo debate/argue about all the latest news from Prince Harry and Meghan Markle. Are they hypocrites? Whiners? Justifiably pissed off? All of the above? PLUS: New York (Virtual) Fashion Week, why "WandaVision" should stick to its weekly release schedule and our thoughts on heading into Year Two of pandemic cultural coverage.

Yup, he's related (but he got all the talent!) and he's got a new song ! The BEST Valentine’s Day card EVER (IMO), so good that although I have NO Valentine (YET!) I am going to order one for myself! NIPYATA! Dalgona Coffee recipe that went viral thanks to this TikTok-ers post! What, pray tell, you ask IS Dalgona Coffee? I got your back my out of the looper friend and the recipe includes instant coffee! AND NEW MUSIC from someone who I know very well! Can't wait to share on todays #juicewithjudi #leojackdiamant #podcast #judidiamond Here is the link for Leo Jack Diamant: https://www.iheart.com/artist/leo-diamant-33721123/ also on itunes: https://itunes.apple.com/us/artist/leo-diamant/id1457771328or free lyric video here: https://www.youtube.com/channel/UC0mk82bdv1ZPhSJzvRfEErQ#music#independent music#leonardo#jack#diamant#musician#composer#websteruniversity

FOOD NETWORK TAKES VIEWERS INTO THE SENSATIONAL AND EDIBLE WORLD OF CANDY LANDInspired by Hasbro’s Iconic Game, Six-Episode Competition Series Hosted by Kristin Chenoweth.Cuz, it's the stuff dreams (or mine!) are made of!

We discuss more voting stories, reviewing the last 50 of the quarantine activities list and more. 

Cam, Matt, and Andi discuss: LGBTQ+ Voters, Justifiably, Preferred Biden, But Trump made big gains. | Police Abuse, Arrest LGBTQ+ protestors at stonewall march in NYC. | Football referee comes out as gay after homophobic slur used at one of the games. | Sydney Mardi Gras relocates to sports ground in 2021 to minimize covid. | Shortland street makes TV History with the first gay on screen wedding. Music: American Idiot - Green Day Don't Lie to Me - Barbra Streisand All-American Boy - Steve Grand Americanos - Holly Johnson Dear Mr President - Pink American - RuPaul

Justifiably or not, vegans have often been accused of being pushy, overly zealous or simply assholes. Vegans may tend to be very passionate about what they stand for, but the phrase “friendly vegan” is hardly an oxymoron. In fact, there is good cause to look at it as something that we all should strive for if we want to effectively spread the message of vegan living. Return guests, Toni Okamoto and Michelle Cehn share some of their work in this space with Jason Wrobel and Toni Lauritsen. Through The Friendly Vegan Cookbook, these two rockstar vegan ladies are bringing vegans and omnivores alike through a shared message and a shared passion for good food. After all, good food is good food, right? Wouldn’t it be a much better to make it a rallying point for vegan lifestyle rather than have this constant urge to shame those who are not yet up for it?Love the show? Subscribe, rate, review, and share!Here’s How »Join the This Might Get Uncomfortable community today:wellevatr.comWellevatr FacebookWellevatr TwitterWellevatr Instagram

Greg Audino answers a listener's question about how to give oneself more credit, particularly as a single mother. Episode 143: Beating the Negativity Bias - Thoughts on How to Justifiably Give Yourself Credit as a Single Mom Learn more about your ad choices. Visit megaphone.fm/adchoices

Greg Audino answers a listener's question about how to give oneself more credit, particularly as a single mother. Episode 143: Beating the Negativity Bias - Thoughts on How to Justifiably Give Yourself Credit as a Single Mom --- Support this podcast: https://anchor.fm/optimal-living-advice/support

BLM Riots After Cop Shoots Knife Wielding Man Ricardo Munoz in Lancaster PA – Dom B Podcast 224   BLM riots erupted after a knife wielding man, Ricardo Munoz, was shot and killed. The knife wielding man, Ricardo Munoz, ran towards a cop responding to a domestic disturbance call in an attempt to stab the cop. The Cop responded with lethal force JUSTIFIABLY in my opinion. The knife wielding man was Ricardo Munoz. This happened in Lancaster PA over the weekend. BLM found out that a cop shot a person if color and rather than wait for the facts to come out they ran on emotions and began their riots in Lancaster PA. The knife wielding man aka Ricardo Munoz was charged for allegedly stabbing 4 people in the past.   Was the cop justified in shooting Ricardo Munoz?   Patreon - https://www.patreon.com/dombpodcast PayPal Donations - https://www.paypal.me/DomBPodcast Cash App - $DomBPod Venmo - @Dom-B85 Dom B Instagram - @domb85 Dom B Facebook (Business) - https://www.facebook.com/dombpodcast Dom B Twitter - @dombpodcast Parler - https://parler.com/profile/DomB/posts Email – dombpodcast@gmail.com Dom B YouTube - https://www.youtube.com/channel/UC6KVo6FU6GFxSL2leQLT6dA SHIRTS ARE AVAILABLE - https://rdbl.co/2Oj2zKT iTunes - https://apple.co/2og1Nnk Spotify - https://spoti.fi/2wwGxgS Reddit - https://www.reddit.com/r/DomBPodcast/ Facebook Group Conservative War Hut - https://www.facebook.com/groups/270974964192315   #RicardoMunoz #LancasterPA #LancasterRiots BLM Riots After Cop Shoots Knife Wielding Man Ricardo Munoz in Lancaster PA – Dom B Podcast 224 BLM Riots After Cop Shoots Knife Wielding Man Ricardo Munoz in Lancaster PA – Dom B Podcast 224 BLM Riots After Cop Shoots Knife Wielding Man Ricardo Munoz in Lancaster PA – Dom B Podcast 224  

Judi Diamond held open auditions while Billy Greenwood was on Vacation, just in case he did not return. AND, Judi said it was "Payback time" since Billy Greenwood had his wife, Melissa fill in while Judi was on her week off! Enjoy Judi's favorites!

With a bit of creative spell work, and a hefty pinch of luck, our adventurers have somehow survived their encounter with a significant baddie. Justifiably, the party is taking some time to bask in the glory and pat themselves on the back. Their celebration is quickly squashed however by the mindflayer Lililith, their apparent patron, who informs them that much worse is coming their way. Lililith begins to connect a series of dots for our adventurers. Seemingly unrelated events they've experienced may all be part of a much larger picture. And that trail of connections is about to lead them to a very important mission. One that takes place on a totally different plane of existence!  Are you enjoying the show? Please help us grow and tell someone about it! All episodes are available at http://www.intelligencecheck.com/Join the party members, listeners, and an amazing community of podcast creators and fans on the CastJunkie Discord https://discord.gg/XQSbM5g . Reddit www.reddit.com/r/IntelligenceCheck/, and Facebook www.facebook.com/intelligencecheck . Email us at intelligencecheckpodcast@gmail.comHep support the show on Patreon and get access to exclusive bonus content! More details at https://www.patreon.com/IntelligenceCheck . Merchandise is available at tee.pub/lic/18PfY6FQeuc Theme song by Jet 'n' JobyLogo designed by Ed Rempfer

Checking In with Amy Camie, Harpist. If you are feeling the uncertainty and stress of COVID19 you're not alone! #Mentalhealth is a concern for many. That's why Amy is offering free downloads of “The Magic Mirror” music during #MentalHealthAwarenessMonth. Music that has been proven again and again in its' healing properties and all you have to do is LISTEN! "Magic Mirror" has helped countless with everything from depression and anxiety to addiction and those (like me) with acute insomnia! I am lucky to call Amy a friend, and even more blessed to be able to share her gift of music to you for FREE! Thanks for checking in! Get your free download at the link here: https://bit.ly/36eldy6AND as you heard in the podcast, you can access Amy's self care courses free as well at this link: https://www.amycamie.com/conscious-self-care.htmlIt's free$0 (FREE) or offer whatever you'd like to give, if you have any extra to donate, this goes back to making more music to heal. Then you'll be able to download the music onto your device.

She Communicates with those from "Beyond" but don't call her a Psychic! Judi "Checks In" with Julia Marie, Certified Medium, Intuitive, Teacher & so much more with 30+ years experience and a SURPRISE "visit" comes to give Judi a message from beyond! WOW! Judi had a reading that was so accurate that she HAD to have her on a podcast episode. Here's her link for info: https://www.mediumjuliamarie.com/

Time. We have plenty of it right now, and many people are spending theirs feeling afraid, frustrated, angry, and worried. Justifiably so, but it doesn't feel very good, and we do have the option to think about whatever we want. Dreaming, for instance, or planning for what you would do if you could do anything in the world. Daydreaming, in other words, and it's a very healthy and positive escape from the day to day challenge of quarantine. You might discover a forgotten passion, or you might realize that your dream is not so impossible after all and you start making plans for the life you always wanted. . You have the time. Visit GoodladUnscripted.comWatch GoodladUnscripted on YoutubeFollow on InstagramFollow on TwitterJoin the discussion on our Facebook Group Subscribe on iTunesSubscribe on Google PlaySubscribe on SpotifySubscribe on BreakerSubscribe on OvercastSubscribe on Pocket CastsSubscribe on Radio Public

Thanks for listening to "Checking In" on this podcast episode, When You become the parent! Yup, it happens right? I'm checking in with my parents especially wondering what my dad has been doing with my Amazon account! I'd love for you to be a part of my "check-in's", so DM me on my facebook page and let's Check In! Judi Diamond on Facebook: https://www.facebook.com/judi.diamond/

Welcome to Episode 41 of Nooks and Crannies! Zombie Movies: Racialized Others and Why they justifiably want to Eat our Brains! :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: (Originally Recorded at the end of Feb; we somehow did not mention the “Corona Virus” in relation to Zombies, speaks to how quickly things changed eh? Glad we did not make these comparisons actually…) Be well friends, hope we can provide a nice break from reality with this bad boi! Chris from Playcomics Podcast joins Paul our Movie Savant and Matty the co host to continue talking all about Zombies in movies! If you have not already or forget because it has been ages, feel free to give the Context (history) Episode a Listen: https://nooksandcrannies.podbean.com/e/minisode-historical-analysis-of-why-matty-is-so-afraid-of-zombies-with-chris-and-paul/ ::::::::::::::::::::::::::::::: We kick things off with a deepish dive on Bella Lugosi’s White Zombie (no not Rob Zombie!) a film from 1932 that sort of but not really defined the whole genre. This film defiantly reinforced the racialized tropes associated with Zombies (i.e. The Primative Dangerous Other, whom need to be contained and controlled) as does gendered tropes (women need saving), while at the same time being a masterpiece from Lugosi, the grandpappy of Horror…1/5 Stars Next up is the 50’s Atomic Aged Zombies, especially the strip: Corpses, Coast to Coast! (http://thehorrorsofitall.blogspot.com/2008/01/corpses-coast-to-coast.html) – Ya, I screwed up the title in the recording! A atomic aged comic that was pre “code” era, which means its pretty gory and great. It also is a pure embodiment of the political and  international relational fears and anxieties of the dawn of the Cold War. We finish up this portion with the justifiably famous and groundbreaking: Night of the Living Dead (date). This is a surprisingly political movie, as are most Zombie films, but it was fascinating to see the emphasis put on Civil Rights Era racial politics, including the famous final scene..Linked right here: https://www.youtube.com/watch?v=OpPyXhRoBgo And end this round on a discussion of the sequel: Dawn of the Dead (date): https://www.imdb.com/title/tt0077402/  Next Up: I think Musical Marinades! Yum! ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: The Vox Article this is Based on: How the zombie represents America’s deepest fears: A sociopolitical history of zombies, from Haiti to The Walking Dead By Zachary Crockett and Javier Zarracina  Oct 31, 2016 https://www.vox.com/policy-and-politics/2016/10/31/13440402/zombie-political-history White Zombie (1932): https://www.imdb.com/title/tt0023694/ Trailer: https://www.youtube.com/watch?v=lOzgz1Ddmz8 Zombies! Coast to Coast: http://thehorrorsofitall.blogspot.com/2008/01/corpses-coast-to-coast.html Night of the Living Dead (1968), George A. Romero Dawn of the Dead (1978), George A. Romero Resident Evil Main Title Theme – Marilyn Manson ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: Chris’ Links: Playcomics Podcast: https://playcomics.com/ Ninja Turtle (all of Chris’ Stuff): https://ninjapenguinpods.com/ Fantasy Baseball Project (all time teams): https://ninjapenguinpods.com/fakeleaguebaseball/ :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: N&C Links All The Episodes Our Social Links in One Place Drop us a line: Nooksandcranniespod@gmail.com Tweet a little Tweet at Us: https://twitter.com/NooksCrannie Facebook:  https://www.facebook.com/nooksandcranniespodcast Ponder Evan’s Blurry Pictures: https://www.instagram.com/nooks_and_crannies_pod/ Find Nooks and Crannies on Spotify Follow, Rate and Review on Podchaser (please!) Graphics by Donna Hume ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: Theme Music Attribution: Cullah - "Neurosis of the Liver" on "Cullah The Wild" https://www.cullah.com/discography/cullah-the-wild/neurosis-of-the-liver  Under license (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

Today I'm checking in with my Gen Z son, Leo. He surprises me with his opinions and some profound wisdom. Thanks for listening! - judi

Welcome to the premiere of "Checking In", latest series from Justifiably Judi Diamond. When one finds oneself alone in Quarantine Nation, one needs to "Check In" in order to NOT check out!

Come on, don't be that guy! Be honest with your DM and be honest with yourself. If you be cheatin' you gon' get eaten.Support the show (https://paypal.me/MurtazaBohari)

In celebration of #InternationalDayofGirls the conversation is with Marian from Marian Middle School a unique private school just for girls in St. Louis Missouri. It is such an amazing thing they are doing, and something that needs to be duplicated in cities and towns ALL over the U.S. and the World! Minutes of Mindfulness and Good People Doing Great Things is the necessity to bring our world together as one! https://marianmiddleschool.org/

After becoming the first woman to ever hold the title of Vice President of Visual Effects and Post Production at a major movie studio, Amy decided to leave that world behind and start working with Nancy. Together they founded The Passionistas Project to share the stories of strong and empowered women who are following their passions to inspire others to do the same. Read more about The Passionistas Project. Sign up for the mailing list to learn more about The Passionistas Project Pack — a quarterly subscription box launching this fall. FULL TRANSCRIPT: Passionistas: Hi and welcome to the Passionistas Project Podcast. I'm Nancy Harrington and today I'm interviewing my business partner, sister, inspiration and best friend Amy. Amy left home right after college to follow her passion in Hollywood. She quickly rose through the ranks to become the first women to ever hold the title of Vice President of Visual Effects and Post Production at a major movie studio. After years in the film world she left all that behind to join forces with me to create the Passionistas Project where we share the stories of strong and empowered women who are following their passions through our podcast and our upcoming subscription box. So please welcome to the show my very special guest, Amy Harrington. What are you most passionate about? Amy: I'm most passionate about fulfilling my sense of curiosity and trying to learn something new every day. When I had my first job on the TV show Matlock, my boss at the time, John McClain told me as long as I learned something new every day, I feel like I had a good day and I've always carried that with me. Passionistas: So how does that translate into what you do for a living and with the Passionistas Project specifically? Amy: Well, when we started working for the Television Academy, 10 years ago at this point, and started to do interviews with people, I realized that that's what I love to do more than anything else. And it really fed into that sense of curiosity that I have because I love to talk to people about what they like to do and what their experiences have been. And I love, in the middle of an interview, when someone says something that triggers a question in my head that we hadn't prepared before. So for me, being able to do that with the Passionistas Project and to use that skill and to focus that passion on women who are following their passions and are really empowering and really inspiring, just brings that all together for me. Passionistas: So, let's talk about your background a little. You spent the summer of 1990 in Los Angeles at the Television Academy as an intern. So talk about what you learned from that experience. Amy: The first half of that summer I had been in New York and I worked at MTV and had an internship there. And that really made me even more excited to get into television because it was fun and energetic and everybody was young and it just felt like you could do anything cause you were, everybody was your age. The executive producers were probably late twenties early thirties so I felt like, okay so this feels doable. And then when I came up later in the summer to California for the Television Academy internship, I really felt like, okay, I am getting my foot in the door. I'm meeting other people my age and people who have experience who have been doing this for a really long time. And as long as I work hard and do a good job and prove myself, then the possibilities are endless. This is not just some crazy dream, a kid from the south shore of Massachusetts was having, but that, I could really move to California. I could really work in television and I could make it happen, you know? And if I hadn't had the Academy internship, I don't know that I would have believed that and I wouldn't have met the friends that I made who helped me get my first job when I moved back the summer after I graduated. Passionistas: Talk about what that first job was and what your path was that first few years of your work in Hollywood. Amy: So when I first came back to LA, I had a roommate lined up, Amy Toomin and she brought me back into a circle of friends that we had made the summer before. And one of them, Carolyn Koppel, who is going to be a Passionista soon, worked on a TV show called Matlock. She suggested I interview for the job of post-production assistant, which I at the time had no desire to be. I wanted to be a sitcom writer and TV producer. And I luckily had a professor in college who had told me, don't be so sure of what you want to do when you go out there, you know, keep your options open because you don't know what you actually are gonna like. And so I started working on Matlock and got into post production and one day my boss, at Matlock said to me, if you could be doing anything in Hollywood, what would you actually want to do? And I said, you know, if I could do anything I would probably want to be in what I thought at the time was called special effects and you know, build creatures. And you know, the Star Wars influence from my childhood was, was still very strong. And I thought like, I would really want to do that. And then coincidentally, my second year on Matlock, I was looking for a summer job and I got hired to be the visual effects coordinator on the feature film Coneheads. And that was how I got into the visual effects industry. So from there I went with that boss John Sheeley to Warner Bros. Where we worked on Louis and Clark and then ultimately helped... I was one of four founding members of Warner Bros. Imaging technology, which we called Wabbit. We actually did hands on visual effects for Warner Bros. projects like Batman Forever and The Adventures of Brisco County on TV. And then after I worked at Wabbit for a couple of years, um, the head of post-production at Warner Brothers proper, the studio proper, Mark Solomon hired John Sheeley and I to come over to the studio and actually be production executives basically dealing with visual at Warner Bros. Passionistas: Talk about your years at Warner Bros. And some of your best memories there.   Amy: So John, Sheely and I went over to Warner Bros. And ultimately he left the studio and I was promoted to Vice President of Visual Effects and Post Production, simultaneously. I was the first woman to hold the job of a visual effects executive at a studio. What that meant was with Mark Solomon, who was my boss, we oversaw all of the teams who were doing the visual effects on all of the feature films at Warner Bros. And we oversaw editorial. So that was the editors and music supervisors and post production supervisors. And we basically saw every movie from development through final delivery for the six or seven years that I was in that position at studio. So I worked on movies like Harry Potter and the Sorcerer's Stone and uh, the Matrix trilogy and Perfect Storm and You've Got Mail. Because we worked in development and because we worked all the way through delivery, we basically touched every movie that came through the studio in the time I was there. So I probably worked on about 200 to 250 movies when all of a sudden done. Obviously some more actively than others, but had at least a hand in seeing a lot of movies through. Passionistas: So in 2004 you and I started working together. So why did you decide to make that leap of faith and do that? Amy: By 2004 I, like I said, I had worked on hundreds of movies in one form or another, and the studio itself had changed significantly. When I started at Warner Bros., It was very old Hollywood. Bob Daly and Terry Semel were still the studio heads. And Lorenzo Di Bonaventura was the head of the creative production. And the film and the filmmakers and the, the movie came first. And by the time 2004 rolled around, the AOL Time Warner merger had happened. Everything was very budget driven. The climate at the studio was very different. And frankly, I remember being in a meeting on the third Harry Potter movie and the creative executive asking me how we were gonna make Harry Potter fly. And we had already made Harry Potter fly into other movies. And I just thought, if they don't understand this by now, am I really gonna spend the rest of my life explaining the same thing to everybody. And there was politics involved. And at the same time you, Nancy, were, you were ready to leave your job. And our friend Lisa Karadjian had an idea for a cable network and it was a great idea. And you and I both had the same time thought, well let's do it. Let's leave the jobs we don't like anymore and do this together. So even though that cable network never came to fruition, it was the stepping stone to moving on. Passionistas: In 2010 we founded Pop Culture Passionistas, and in addition to doing interviews and creating content for our own website, we've worked for a number of clients like the Television Academy and the Rock and Roll Hall of Fame. So what do you think was the most significant work that we did for those clients that led us to the Passionistas Project? Amy: Meeting Karen Herman and starting to do interviews for the Television Academy and what was called the Archive of American Television at the time was the most significant moment in our path. I think of it Pop Culture Passionistas. We had obviously done a lot of interviews before Karen let us do an Archive interview, but they were phone interviews with other bloggers or they were not very high pressure or they were, you know, okay, you can ask a few questions and, and that was it. And then with Karen it became, this is how you sit down with someone for three or four hours and really go deep with questions and really get to know someone. And she just taught us how to do research and she taught us how to structure questions so that there was a flow to the interview. But she also gave us the freedom to ask a question in the middle of an interview if something came up that seemed like it should be followed rather than feeling, you know, tied to every word that was on the page. And I just fell in love with that process. And if we hadn't done the Archive interviews it would never have led to the Passionistas Project because the other interviews we were doing weren't that satisfying to me. They were fun and oh cool, we get to talk to this person and ask a couple of questions. But when you're actually get to sit down with someone and stare them in the eye for three hours and talk about their childhood and talk about those moments that you've seen on TV your whole life that meant so much to you, that was really life changing. Passionistas: We started the Passionistas Project in the advent of the #MeToo and the #TimesUp movement. What was your personal motivation for starting the podcast? Amy: We had wanted to start a podcast for a while. We'd probably been talking about it for a year or so and we were talking about doing a pop culture podcast and we couldn't figure out how to do it differently and make it interesting. And we'd certainly didn't want to do the kind of podcast that was us giving our opinion about pop culture and talking for an hour. You know, we wanted to bring our interview skills into it. So for me, the moment when we, when it came to us to do the Passionistas Project, it just felt 100% like what we had been searching for two years. And for me the idea was just, we were hearing all of these really incredibly important stories from the #MeToo movement about women who had been put in horrible positions and who were being really strong and coming forward and telling stories that absolutely needed to be told and almost everyone we know has experienced in one way or the other. But we also knew in our heart that there were a million stories of women who have had good experiences and have worked really hard and built something or been a part of something that was really positive and so in light of all of the darker stories that were being told, and again, they needed to be, I personally felt like we need to also have a platform or women are showing other women that there's a way to do this. You can do it. You can have a positive experience. You can build your own environment to make a positive experience and that was why I personally wanted to do it. Yes, I had ups and downs at Warner Bros., But I had an incredibly positive experience there. I was the only woman most of the time I was promoted very young. I was given access to everything. I got to work with the greatest directors of the time and the best visual effects people and editors and I was welcomed in to a certain extent, even though I was a woman and I wanted other women to know. It doesn't all have to be the negative side of things. You can follow your passions. Passionistas: What has the podcast meant to you personally? Amy: Now that we're over a year into it? I think the thing that surprised me most about doing it is how connected I feel to the women that we've been interviewing. You know when we do the archive interviews for example, you feel by the end of it, like you have a connection with Julia Louis Dreyfus, but you don't, you know, you're going to see Julia Louis Dreyfus again and she'll say hi cause she's polite but she's not gonna know why she's saying hi to you. I have become used to the fact that I have this intimate experience with someone and then we are strangers. Justifiably. So from that point on. But with the Passionistas Project, I have felt like there's a connection with these women and even if they're not people we're staying in touch with every day or you know, some we seem more than others. I feel like we've got a bond and there's a connection that is really special. And every single woman that we have interviewed has talked about their desire to help other women. And not to bring everything back to Warner Bros. but when I was there, I was the only woman most of the time, or maybe one other woman in a meeting, you know, studio executives. And it was never a real sense of camaraderie with the women. You know, I had my team of women that worked with me and my department and we were close, but the other women in the studio, we were nice to each other, but we didn't bond really. And everyone out to drinks with any of them. I'm finding with the Passionistas Project that women, I think especially in light of the #MeToo  movement, women are looking out for each other. Women are trying to figure out how they can help each other and are trying to move each other's agendas forward in a way that I have never experienced before. I don't think it's unique to what we're doing, but I'm experiencing it first hand in a way I don't think I would be if we weren't doing the podcast. And so that's a selfish answer, but my hope and, and I think what we've already showing that we want to and can do is taking that and connecting people. Oh, you know, we interviewed a woman who has a farm. We interviewed a woman that has a mill, let's introduce them so that maybe they can help each other in some way. Passionistas: What have you learned about yourself from interviewing these women? Amy: I think I've learned that even though I consider myself shy and an introvert, that whether it's because of the project itself or just where I'm at in my life, I am way more determined to step out of my comfort zone and talk to people and open up more about myself than I might have before. Because again, I think the women that we're meeting have made me feel comfortable that flaws are okay in the midst of the positive stuff. And so I feel embraced by them. And so it's letting me, I think because I'm being more open, I'm getting more openness back from them. Passionistas: I'm Nancy Harrington and you're listening to The Passionistas Project Podcast and my interview with my business partner, sister and best friend Nancy Harrington. Join our growing community of women supporting other women who are in pursuit of their passions on The Passionistas Project Facebook Group. And go to ThePassionistasProject.com to sign up for our mailing list and get 10% off our upcoming subscription box. Now here's more of my interview with Amy.  Do you ever feel unmotivated and what do you do to get past that feeling? Amy: I don't feel unmotivated very often. I usually wake up feeling behind in what I wanted to get done for the day, so it's rare that I wake up and go, I don't want to work today. Especially because I love what we're doing so much that it's not like some jobs I've had in the past or it's like, ah, I don't want to. But when I do feel unmotivated, honestly, I just figure out like, okay, but what can I do right now? That's not the least favorite thing that I have to do and if I can get that done, then that'll probably lead me to something else and I try and get the things I want you to do least out of the way first so that I have the carrot of something that I really want to do dangling out there. So it's like, okay, if I get through this, then I will be able to do the thing that I really want to do. Passionistas: Is there one lesson that you've learned on your journey so far that really sticks with you? Amy: I think the thing that I've learned that sticks with me is that I can do anything I set my mind to. And I don't mean that in like a cocky way. I just mean every job I've ever been given or every job I've ever chosen to pursue on my own. I have never known how to do it. When I started to do it, I've never been given a job that was like, oh, we see that you have 10 years of experience in this particular thing, so we want to hire you. It's always been like, well I know you can do this, but now we need someone that can do this and we're going to give you the job. I remember when I Mark Solomon decided to make me Vice President of Visual Effects and Post Production at the same time at Warner Bros. He had already asked me to do the visual effects job and then he said, will you do the post production job too? And I said to him, I don't know how to do that. You realize that you're offering me this very like important position that I don't know how to do. And he said, yeah, but I know that you'll figure it out. I know you can do it. And I've been very lucky that a lot of people have thought that of me and it used to be that I didn't necessarily understand why or believed them when they would give me those jobs and now I feel like, okay, I can't, I can do, I can figure anything out, I can Google it. And I think that feeds, this feeds back into my original answer. What I'm most passionate about is like I want to learn new things all the time. So the more opportunities I get to do things I don't know how to do, that's what keeps me interested in working and living. So I feel like I'm finally at a point where I'm more confident in myself that I can take on anything than anybody throws at me. Passionistas: What's been your biggest professional challenge and how have you overcome it? Amy: I think my biggest professional challenge has been confidence in myself. I think when I was at Warner Bros., I was so young to have the job that I had that everybody else believed everything I was saying and I was right about what I was saying. Or I would bring in the right person to answer a question if I didn't know how to answer it. But I think the whole time I felt like they're going to figure out that I don't really. I don't think they should have given me this job even though I was doing a great job. So I think my biggest challenge has always been trusting myself and believing in myself and having the confidence that I belong at the table and that I'm good at what I do when I set my mind to it. So I've learned over the years to have more faith and, and the job at Warner Bros. I think was what taught me that. Like that feeling lasted for a little while and then it was like, oh wait, I have everybody sitting in this room. I actually am the one that knows what the answer to this question is. Once I get over that feeling of being a fraud and realizing I belonged there and that I had earned it since then, I've felt pretty confident and like, especially when the chips are down and I feel like I can really kick in if there's a crisis and take charge of the situation. So, but that was, that was probably my biggest challenge along the way.  Passionistas: What's the most rewarding part of your career? Amy Harrington: Where I'm at right now is the most rewarding part of my career because I'm following my passions, I'm doing it with my best friend and I feel like what we are creating with the Passionistas Project is really important and there's so many elements to it that we haven't even started to explore that are going to give a platform for women and a voice to women and build a community. And so for me, getting to do this every day is so rewarding and I just want to throw all of my energy into it. Passionistas: Looking back on your journey so far, is there one decision that you think was the most courageous that changed your trajectory? Amy: Leaving Warner Bros. Was the most courageous thing because I thought I was going to work there my entire life. I thought, I thought I'd worked there till I was 65 and I would retire and I was making a very good salary. I had a very comfortable life. It was my entire life. During that period, I didn't really have much of a social life because I was so focused on what I was doing. I was the quintessential career girl. So the decision to actually leave all of that, especially because we were working on a cable network, but it wasn't a paid job and it wasn't okay, I'm going from this steady position to another steady situation. It was, I'm basically taking early retirement and figuring out what I'm going to do with the rest of my life. It was very scary, but it was the best thing I ever did. Passionistas: When you were a girl, what lessons did your mother teach you about women's roles in society? Amy: Our mother was the greatest mother anybody could ever have. She was incredibly loving. She gave up everything she may have wanted for herself, for her husband and her children. She had studied to be an art teacher, but after she got married, she stopped doing that and she just raised a family, which was a very important job and she was, again, she was the best mother ever. But I remember throughout my life asking her like, will you draw something for me? You are an art teacher. You clearly loved art. You must have loved to draw, which she said she did, but our father was such a good artist that she would not draw because she said he was such a good artist. She didn't want to. Knowing my dad, I believe she didn't want to draw because I think she was probably a really good artist and she didn't want to steal any thunder from him, which was her way and made her as lovely as she was. But it also was an example to me that that's really not the way to live your life. By the time I got to high school, my sisters and brother were older. And I didn't date much in high school. I rarely had a steady boyfriend, but I would say to her, you know, I wish I had a boyfriend. She would say, don't worry about that, you know, don't focus on that. She basically would say to me, follow my dreams and that will come when it's supposed to come. If it comes, you'll be happy. And if it doesn't come, you're still going to be fine. But the most important thing is what do you wanna do and go out and do it. And I think if she had lived in a different time, she would have been an archeologist or she would have been an art teacher or some kind of teacher and she would have done something that she wanted to do. Because she was such a curious person. And I definitely got my sense of curiosity from her. So I know when she saw me come out here and do what I wanted to do and was around long enough to see me do well at it, that she got to live vicariously through me in a way. Passionistas: What about professional mentors along the way? Amy: In terms of what we're doing now and the Passionistas Project, without a doubt, Karen Herman was the biggest mentor that I could have had. She, again, we had some experience doing interviews, but I will never forget the day that she came to us and said, do you want to do an Archive interview and let us interview Melissa Gilbert, who was like the actress I was compared to constantly as a child because I had long hair. And Karen had no idea of that. And really taught us how to do what we're doing and again made it really fun and gave us opportunities like interviewing Julia Louis-Dreyfus and Jason Alexander. And the crown jewel of it all — Laverne and Shirley — partly because I know she trusted us that we would do a good job, but also partly because she knew it meant something to us. She knew that we would have fun doing it together without Karen. I don't know where we would be right now. Passionistas: Who are your favorite cultural heroines? Amy: All my cultural heroines growing up were TV characters. So I would have to say Laverne DeFazio, certainly Mary Richards, not Mary Tyler Moore because she was the go getter career girl working in television. Rhoda because she was the sassy neighbor who said what was on her mind, always made fun of herself so no one else could first. Those strong female TV characters that had a sense of humor and a little bit of an edge and were really super independent. Passionistas: What's your secret to a rewarding life? Amy: My secret to rewarding life is having balance, which I never used to have. So it's getting to do what I want to do for a living with the people I want to do it with and having a really nice home and boyfriend to go home to. And knowing that I can have both of those things even though it's not always easy to balance them. Knowing that I don't have to pick one or the other. Passionistas: Is there a mantra that you live by? Amy: I would say there are two. One comes from one of my favorite movies of all time. The Sound of Music, which is "Mother Superior always says, ‘When the Lord closes a door somewhere, he opens a window.'" And I do believe that as hard as it can be sometimes and you don't think that it's a good thing. Sometimes the universe pushes you, actually pushes you out the door. And slams it behind you so you can't go back in and you gotta climb back into something else or a window. That's that a huge mantra in my life. And the other is something our mother always used to say, which is "everything happens for a reason." And again, you may not always know what that is at that moment, but it always ends up being true. Passionistas: What's your proudest career achievement? Amy: Well, I think I have two, because I feel like I have two, I feel like I have two parts of my career. The first part, which is the Warner Bros. part, I would say I'm proudest of being a woman that accomplished so much, so young and worked so hard to play on that level and to get to work on movies like the first Harry Potter, and A Little Princess and to work with directors like Alfonso Cuaron and Tim Burton and Nora Ephron. To me, I get to, I get to work at these the studio that was at the top of its game and it pushed me to be the best I could be. So for that part of my career, that's my proudest achievement. But now, and forever, I think my proudest achievement is going to be what we're doing right now. I think we've only seen the tip of the iceberg of what we're going to build and with the plans that we have to expand it into different areas. I think we are creating something that's going to last forever and be our legacy and carry on after we're gone. And I think it's to help women tell their stories that might not otherwise be heard and to hopefully inspire other women to do the same thing, which is just to follow their passion, whatever that is. I just think being able to do that is a true blessing and I already am proud of it, but I think I'm only gonna become more and more proud of it as we go on. Passionistas:What's your definition of success? Amy: For me, success is just following your passion and being able to sustain the lifestyle that you want to sustain. You don't need to be a gazillionaire. You need to be able to pay your bills and you need to decide what that comfort level is for you in terms of what your finances need to be. But if you're making money, doing something that you love, then you really, really lucky in this life. Passionistas:What does it mean to you to be a female entrepreneur in 2019? Amy: I feel like it's a good time to be a female entrepreneur and I feel like it's an important time for a woman to be an entrepreneur because on the tail of the #MeToo movement, it feels like doors are opening for women. And women are being more supportive of each other. But I think it could very easily slide back in the other direction and just be a moment. So I think it's really important that at this point in time we all do what we can to help each other be as successful as possible so that we build as strong a foundation as possible for women to build upon in the future. So I think what we are, I know what we're trying to do is help spread the word, you know, we're gonna have a subscription box. We're going to help get the product out there. You know, we're going to have an, we have an online community where we're inviting women to help each other. And I think now is a critical time for there to be as many female entrepreneurs in the game and supporting each other as possible. Passionistas: Thanks for listening to The Passionistas Project Podcast and my interview with my business partners, sister and best friend Amy Harrington. Join our growing community of women supporting other women who are in pursuit of their passions on The Passionistas Project Facebook Group.  And go to ThePassionistasProject.com to sign up for our mailing list and get 10% off our upcoming subscription box. While you're there, check out the gallery of our childhood photos as ThePassionistasProject.com/blog. And be sure to subscribe to The Passionistas Project Podcast so you don't miss any of our upcoming inspiring guests.

Bruce Marshall, editor of The Gold Sheet, joins ND and Greg to discuss the NFL, last night's Astros game being such a huge upset, and some College Football

For You Safety and Comfort, Please Keep Arms, Legs and Tentacles Inside the Car At All Times by Michelle Ann King.  Narrated by J.S. Arquin.  Featuring an afterword written by Michelle Ann King.  #god #humor #tentacles #Lovecraft #unicorns #fantasy    "I found God ... While I was doing that house clearance in Balham. ...remember my Great Aunt Doris, the one with all the tea cosies?  Try to imagine a cross between her, that security guard who arrested us for shoplifting eyebrow pencils out of Superdrug when we were kids, and the Grand Canyon." Kate dutifully tried to imagine this.  She failed. "And so it turns out that after creating our spacetime continuum, It went to have a bit of a lie down.  Justifiably, I think; I always need a bit of a nap after any DIY myself..."   Michelle Ann King is a speculative fiction writer from Essex, England.  Her work has appeared in over ninety different venues, including Interzone, Strange Horizons, and Orson Scott Card's Intergalactic Medicine Show.  She has published two collections of short stories in ebook and paperback from Amazon and other online retailers, and is currently at work on her third.   Visit www.transientcactus.co.uk for details. Follow her on Twitter @MichelleAnnKing.   Please help support The Overcast.  Become a Patron Today! Subscribe on iTunes or Stitcher so you never miss an episode.  While you're there, please take a moment to leave a review!    

 Alien abduction vs. craft in the sky. Will the two camps within the UFO field ever come together? When Mike Clelland heard a voice telling him that he was an experiencer of alien abduction and that his contact experiences were linked to the owls he was serendipitously seeing everywhere, he nearly had a nervous breakdown! Justifiably […] The post Mike Clelland – Owls, Alien Abduction and the Ufology “Rift!” appeared first on Higher Journeys.

When you hear the name "Cedric The Entertainer", you immediately may think of an original "King of Comedy" (Spike Lee Movie, it's great and you should see it if you haven't!). You may think of Def Comedy Jam, or the Lemur Maurice from Madagasgar, or maybe you've been lucky enough to have seen one of his hilarious stand-up routines. Even if you've never seen Cedric, I say the name "Cedric The Entertainer", and for some reason, you've heard of him! That may be due to the fact that Cedric has literally done just about everything a comedian/actor can in a career. However, there is a side of Cedric that many may not know of, and I was honored to interview he and his sister Sharita in the iHeart studios to learn about the big-hearted Cedric and how he quietly has been giving back in a beautiful way. Take a listen and be surprised by this talented and philanthropic Cedric!

Very few abandoned buildings can evoke anxiety, fear, and outright horror that accompanies the simple mention of their name. An insane asylum is one of those places. From campfire stories, TV shows, horror movies, and spine-chilling novels, asylums hold an especially terrifying place in our psyches and tend to invoke our most primal fears.  Justifiably so–the stories told about these historic halls of horror weren’t just pulled out of thin air or dreamt up by the twisted minds of storytellers. The true history of our world’s insane asylums may be just as terrifying as the darkest recesses of our imaginations would have us believe. Music from goo.gl/9eQ5r1  

Binge on Minutes of Mindfulness, simple bite-size minutes of Yoga and other tools to help understand what all this "Mindfulness" is about, and how much it has helped so many people. Barb Berson is this binge series with what I call "Ear Yoga". No. Your ears are not doing downward dogs! your ears will be able to hear simple things you can do to make life a bit easier and perhaps gain a bit of being "present" mindfulness! I learn as you learn! - Judi

Part II of our chat with Singer/Songwriter/Musician Aubry Rodriguez who is performing this weekend at a very prestigious event! CMAfest at the Next Generations show on June 7 at The Nashville Palace! A show full of so much talent honoring the songs of their parents & grandparents!! Aubry Rodriguez is the daughter of Country Music Legend Johnny Rodriguez, and for the first time, she will have the honor of performing on her own !

Gen X meets A Mindful Millennial and surprise! They have oddly similar mindsets that may surprise you, or maybe you knew this. :) Meet Aubry. A Talented Singer/Songwriter with a very humble sweetness. She is a college student at the prestigious Belmont Campus in Nashville, and she is also the offspring of a famous musician. This episode is part I into the mindset of a very educated and passionate 21 year old who wants to make a real difference in our society. It's time we bridged the Generation Gaps and come together to make the world a better place. Aubry has the talent and smarts and kindness to make a real impact in our world, and I'm excited for you to hear her thoughts on everything from Social Media and Music! Enjoy!

You've heard the expression "Just Go With Your Gut", but lately I've been wondering if I'm listening to my true "gut", i.e. Instinct, or is it simply that I tend to be Impulsive? When is that "little voice" truly one to listen too and when is it the ego wanting something one really doesn't need? On This Justifiably judi episode, you'll meet one of my closest friends since childhood, Pamela, and she is a mystic and intuit and very metaphysically well versed so I thought she'd be the perfect person to help you and me sort out the question, and she does just that! WAIT til' you hear HER story and mine and WHY it makes so much sense!

Look up "Mindfulness" and you will find something like this: "A mental state achieved by focusing one's awareness on the present moment, while calmly acknowledging and accepting one's feelings, thoughts, and bodily sensations, used as a therapeutic technique." Music courtesy Leo Diamant "We Are All" Album: Humble Abode download on most major music servicesTrue, but it's so much more. For me the simple secret to a happy and fulfilling life is a gift. That of being Present! (See what I did there?) Mindfulness is all about being as present as one can be to be all they can grow to become and more! My good friend Barb Berson is not just a skilled nurse of many years, she is also a practicing and teaching Yogi also for many years. She is kind enough to share short little simple beginner Mindfulness techniques to help you get to you Mindfulness. The essential of "who you are". She uses easy techniques to help not just with breathing, but back issues, feet, toes, and more! Welcome Barb and we keep each episode about as close to a minute (sans the soundtrack) as possible because we want you to feel comfortable in trying something new that you may want to return to again and again. We will be adding more episodes, but you can binge them all if you have time, otherwise, take one mindful minute at your leisure and NAMASTE! - Judi, Justifiably

  Indeed there are a few definitions of stubbornness. The Mirriam Webster dictionary gives these ones ... unreasonably or perversely yielding; difficult to handle, manage or treat; and justifiably unyielding, resolute. Justifiably unyielding. That is the one that I believe God was talking about. The stubbornness that means we ... ... won't give up on believing in His word as being the final word. 1 Peter 3:22 in The Message Bible says, Jesus has the last word on everything and everyone, from angels to armies. He’s standing right alongside God, and what he says goes. Over the years I have done some tantrums reminding the enemy that he does not have the victory - only Jesus has the victory.  Stubbornly believing that God's promises are the only way forward. Not giving airplay to any other options. ... Stubbornness means that we will choose to believe that God loves us the same yesterday, today and tomorrow regardless of our thoughts, words and actions or inaction. 2 Corinthians 12:9 in the Amplified version says, But He said to me, My grace (My favor and loving-kindness and mercy) is enough for you [sufficient against any danger and enables you to bear the trouble manfully]; for My strength and power are made perfect (fulfilled and completed) and show themselves most effective in [your] weakness. Therefore, I will all the more gladly glory in my weaknesses and infirmities, that the strength and power of Christ (the Messiah) may rest (yes, may pitch a tent over and dwell) upon me. Choosing to believe that despite what I have done or said, He is there, and He is listening, and He is willing to forgive me, and give me His new mercies day after day after day.  ... Stubbornness means that we will choose to believe that He will not leave us nor forsake us. Joshua 1:9 in the NKJV says, Have I not commanded you? Be strong and of good courage; do not be afraid, nor be dismayed, for the Lord your God is with you wherever you go. Sometimes going into a challenging situation I visualise Jesus physically with me, fully expecting that I will sense His presence and that the Holy Spirit will give me the words to say. We do not walk alone. Stubbornness, the resolute kind, is what we want. The resoluteness that Barnabas encouraged the believers in Antioch to have,  Then when he arrived and witnessed the grace of God, he rejoiced and began to encourage them all with resolute heart to remain true to the Lord; Acts 11:23 NASB And so since that conversation and talking with God, my prayer has become, "God please take this stubbornness and use it for your good. Let there be a passion for you that is unyielding and resolute." Or, in the words of Psalm 51:10 Create for me a pure heart, O God! Renew a resolute spirit within me! Psalm 51:10 NET To find out more please visit https://wendyrobinson.com.au

Native American identity came into the spotlight this year when Senator Elizabeth Warren claimed Cherokee status through a DNA test. President Trump, who called her Pocohontas, wasn’t satisfied. Justifiably so, Native Americans had their own opinions. Our hosts Devan Schwartz, Alex Warren, and Megan Donis speak with: Joe Whittle, an enrolled member of the Caddo Nation of Oklahoma, and Janeen Comenote, executive director of the National Urban Indian Family Coalition. And we hear about Inter-mountain West schools’ expanded Native American curricula with reporter Ali Budner.

– Why some things come so easily (and sometimes we have to CLAW our way)  – Do you ever wonder why some things come so easily … and sometimes it’s so frustrating when what we want doesn’t seem to want us. Make-up artist Tabatha O’Dell signed a new contract. But it suddenly got cancelled. In fact, she had nine contracts in a row that cancelled, one after the other. It was uncanny. She had doubts about what she was doing wrong. She began to worry about her financial situation … irritated that she was facing this yet again. She felt the struggle of trying to figure out what was happening, and she felt angry. Justifiably! Has this ever happened to you? We sometimes allow ourselves to respond to a situation with frustration, rather than manage and direct the energy toward a desired outcome. Your frustration has a message for you! It’s saying, “Stop! You’re going down the wrong path!” But wait … it isn’t that you’re going down the wrong path toward the wrong desire. Its message is that you need to move into a different frequency in order to get there. Did you catch that? The emotion of frustration … of all negative energy… is coming from how unwilling we are to manage our energy. We’ve allowed ourselves to respond to a situation with negative energy, rather than direct a more positive energy toward a more desired outcome. This is what Tabatha came to realize, and you may find some similarities in her story. She realized that positive energy is like throwing fuel on a fire. It speeds things up, helping the manifestation come to fruition more quickly! The frustration we feel is a message for us to move into a different vibration so that we can realize our desires.

The Tenth Doctor Revisited - He launched the show to new heights and became one of the most beloved Doctors of all of time and space—but he had his share of detractors! Shannon Sudderth helps us discuss David Tennant’s Doctor. Host Chip Sudderth and Alyssa Franke with Shannon Sudderth.

Amanda and Jenn discuss Korean fiction, Central American authors, fluffy audiobooks, and more in this week's episode of Get Booked. This episode is sponsored by Girls Burn Brighter by Shobha Rao and Children of Blood and Bone by Tomi Adeyemi.   Questions   1. Hello Get Booked friends! I would love some book recommendations for books written by Korean authors or about Korea. I recently read The Vegetarian by Han Kang and The Orphan Master's Son by Adam Johnson and realized that I do not know very much about Korean culture and history. I loved the cultural side notes that were included about Japan in Ozeki's Tale for the Time Being and would enjoy something like that, but about Korea. I am open to fiction or non-fiction and historical or contemporary works. --Sally   2. First, I just wanted to give Amanda a huge thank you for recommending Captive Prince! I’ve heard you recommend it a few times before, but I just never got around to reading it. After hearing you recommend it a few weeks ago I finally decided to pick it up from the library. Suffice it to say, I think this is the book I’ve been looking for all my life and I finished the series in three days. I’d love to know if there are any read-alikes out there? The Captive Prince series checked almost all of my boxes. M/M relationships are strongly preferred and no need to worry about trigger warnings for me. I’ve already read and loved Amberlough. I’ve also read The Magpie Lord, but only thought it was ok. Thanks again for the Captive Prince recommend! --Kevin   3. Coming off Black History Month I need help. I listened to The Bone Tree, read Brown Girl Dreaming, and read Invisible Man. Also read Banthology. These were all great esp, Brown Girl Dreaming. My request....I have noticed as with Homegoing, several of the books by people of color are very mentally heavy when reading one after the other. Justifiably so. I am looking for a female voice, mid 20-40's, lyrical, fun, a bit biting, with her girls with a story to tell. Something almost musical. I don't want YA. Something where the setting even plays a part. Got anything? --Michele   4. I know this is really last minute and I have no idea if you'll be able to help me, but I am really stuck. I am supposed to be getting a book for someone who I don't know based on their "reading" profile. They said they like autobiographies, especially ones related to travel and sports and that they are looking to get into self help books. They also mentioned that their favorite books are The Last Lecture, Mud Sweat and Tears and 1000 Days of Spring. They have a completely different reading taste to mine, so I am really out of my depth and hoping you could help. Thanks in advance and I LOVE the show! --Marija   5. Greetings! My husband and I are going on the trip of a lifetime during the month of April. We will be traveling through the Panama Canal and stopping at all the Central American countries except El Salvador. We will also be making 3 stops in Mexico and Cartegena, Colombia. I'm looking for literary fiction novels that take place in Central America (rather than Mexico or South America.) No short stories, please! Here are some books that I've read or are familiar with. (None of them take place in Central America, but you get the idea!): The Sound of Things Falling by Juan Gabriel Vasquez Like Water for Chocolate How the Garcia Girls Lost Their Accents Anything by Gabriel Garcia Marquez Thanks! --April   6. For about a year now I've been listening to podcasts (mostly Book Riot ones) at work. I haven't quite found enough to fill all my hours, but I find I prefer listening to talking over music. To fill the gaps, I tried turning to audiobooks. (Libby is the best.) My typical fare is heavily Sci Fi and Fantasy, but I was finding them a little too complicated to follow while working - so I tried YA (another love of mine) and it was still too important that I caught every detail. After that I tried nonfiction, but kept finding things that were either too dry on audio so it became basically white noise, or super depressing. TL:DR can you help me find books that are A) on audio, B) light in subject matter (as a grad student in my "free time" I spend a lot of time stressed out and would like my audiobooks to be a break from that), and C) simple enough that I can still follow even if I get a little distracted by a more-complicated-than-usual problem at work? Something like a cozy mystery or a fluffy romance (like Austenland?) might be good, but I don't know where to start. Bonus points for SF/F flavors, but they're not necessary, and extra bonus points for diversity of any kind, which I feel like I don't get enough of. Already read: Sarah Maclean, and Tessa Dare. Also, I used to love Lillian Jackson Braun's The Cat Who series, but have not kept up with the latest in cozy mystery good stuff. Thanks in advance! I love the show - a part of me wishes I could just fill all of my weekly hours with listening to Get Booked, but I imagine that would be very tiring for you. --Anne   7. Hi Amanda and Jenn, I'm in dire need of help! ! I'm going through a major life transition and I've found that the books that I would normally turn to don't seem to work anymore. I would like some recommendations of memoirs, nonfiction, or fiction that feature strong women who have made radical changes to their lives. Thank you! --Daniela   Books Discussed Empress: The Astonishing Reign of Nur Jahan by Ruby Lal (July 2018) Salt Houses by Hala Alyan The Fact of a Body by Alexandria Marzano-Lesnevich While the City Slept by Eli Sanders Behind the Beautiful Forevers: Life, Death, and Hope in a Mumbai Undercity by Katherine Boo I’ll Be Right There by Kyung-Sook Shin, translated by Sora Kim-Russell The Calligrapher’s Daughter by Eugenia Kim Sorcerer of the Wildeeps by Kai Ashante Wilson Valdemar: Last Herald Mage series (Magic’s Pawn #1) trigger warnings for rape, child abuse, suicide The Sisterhood of Blackberry Corner by Andrea Smith The Unleashing by Shelly Laurenston A Walk in the Woods by Bill Bryson A Guidebook to Relative Strangers by Camille T Dungy The Dream of My Return by Horacio Castellanos Moya, translated by Katherine Silver Central American author recommendations post The World In Half by Christina Henriquez Shades of Milk and Honey by Mary Robinette Kowal Death Comes to Pemberley by PD James Hammer Head by Nina MacLaughlin Tiny Beautiful Things by Cheryl Strayed Braving The Wilderness by Brene Brown

On one of the walls in Sara Hughes' bedroom is a poster of Misty May-Treanor. It's been there since she was little, when Hughes began getting into volleyball, serving as a reminder of what she might become one day should she continue to pursue this beach volleyball dream of hers. So it struck her when, during a tournament this season, a parent of a young fan approached her and told Hughes that, on one of the walls in her daughter's bedroom, is a poster of Hughes. “I was like ‘No way that's actually happening,'” Hughes recalled on SANDCAST: Beach Volleyball with Tri Bourne and Travis Mewhirter. “I am so grateful for that and I hope I can keep being a person young people can look up to for a long time and thank you to everyone who does.” Did you catch that, at the end? Hughes thanked the fans for looking up to her, not the other way around. In an era where celebrities grow more and more closed off, taking instead to social media to communicate behind iPhones and laptops, Hughes remains open, willing to talk to anyone, pepper with anyone, give back any way she can. “I'm always just trying to help people,” she said. “If anybody wants to ask, just come up to me, you can ask me directly.” No different than May-Treanor continues to treat her.  When her age could still be measured with a single digit, Hughes would head down to the Huntington Beach Pier and sit on the wall, waiting for a chance, any chance, to simply shag balls for May-Treanor. Sometimes May-Treanor would let her pepper or hop in for a drill or two, creating an indelible memory that Hughes will cherish more than likely the rest of her life. “I love talking to people and I love talking to young girls because I don't think I'd be in the position I am today if I didn't have the coaches I had and people like Misty May taking the time to talk to me,” she said. “I love doing the same to everyone else.” She's a sponsor's dream, Hughes. She has the looks – blonde hair, blue eyes, Colgate smile – the smarts – she's currently on a one-year track to earn her Master's degree, just a year after delivering a graduation speech at USC – the media savvy, the talent, a voracious competitive drive juxtaposed with a disarmingly charming personality. Oh, yes. She has earned this position, the right to have Mikasa run her through photo shoots and turn those shoots into posters for young girls to hang on their walls, to point to each night and morning and say “I want to be like that.” Her accolades at USC could fill a small book's worth of pages, and it's a wonder if some of her records – four consecutive national titles, a winning streak that eclipsed 100 matches, a perfect 48-0 junior season, four-time All-American – will ever be broken. Justifiably, this drew no small amount of media coverage, and while she was appreciative – always thanking anyone for taking the time and interest in her – it drove her a bit insane, how those reporters would invariably walk right past her exceptionally talented teammates. On the occasion that the media showed interest in the rest of USC's indomitable team, more often than not they'd ask questions not about how their match went, but what they thought about Sara and her partner, Kelly Claes. “I hated that when it was just ‘Oh! Sara and Kelly and Team USC!'” Hughes said. “I was like ‘No, you don't realize, these girls who are on [teams] two, three, four, to the eighth team, they're our support system. We would not be close to being good or successful without our teammates. They deserve just as much fame and respect as we do because we're out there on the same hot court at USC and we're training, every day, together.” Her teammates, as she said, were plenty talented, and a number of them – Nicolette Martin, Terese Cannon, Jenna Belton, Sophie Bukovic, Allie Wheeler, to name a few – have already begun making a name for themselves on the AVP Tour. Yet Hughes, as May-Treanor was, will be the name fans point to as the next in this massive wave of beach volleyball talent rising from the college ranks. She will be the one on the posters, and in the commercials for Oakley and KT Tape and Mikasa and any other sponsor wise enough to sign her.   She's becoming the next generation's version of May-Treanor – the one everyone looks up to – quicker than she could have possibly realized.   The final question of SANDCAST is reserved for the athletes to discuss anything else they'd like to discuss, anything the hosts may have missed. Most demur, maybe shout out a sponsor or two, thank us for the time. Hughes, instead, had a message for her fans: “For the young players and any parents who are listening, I love the indoor game and the beach game, of course. So a lot of players are making this decision where they love the indoor but they have to play the beach in college because they think that's the only thing they can play. I just think it's huge for young girls to play both if they love both.” You can teach any volleyball skill there is. But to become the next face of a sport, as May-Treanor once was? That's a trait passed down, from one legend to the one who might just become the next.  

Another new episode in the span of a month! Justifiably, so we can discuss the mind-blowing announcement about the return of Rick and Morty. Also discussed are Apollo Gauntlet, People of Earth, GLOW, and many more cool shows you're probably not watching yet. (Cast: John J., Trish, and Jason)

Another new episode in the span of a month! Justifiably, so we can discuss the mind-blowing announcement about the return of Rick and Morty. Also discussed are Apollo Gauntlet, People of Earth, GLOW, and many more cool shows you're probably not watching yet. (Cast: John J., Trish, and Jason)

Welcome to Episode 55 in a Series of 1000 Podiscussions from yo pals Ben "Darkseid" Pobjie and Cam "Granny Goodness" Smith. Hang on a second. LOOKOUT! It contains talk of: Angry Birds Jinx Personal Jinx Grinches & Scrooges Energy Vampires Changey Songs Wikileaks Oprah Drive Safe Get it up on your iTunes. Sorry, that sounded more overtly sexual than I meant it to. APOLOGIES.