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In this episode, hosts Ronald and Jan are joined at KubeCon by two guests from Red Hat: Brian Stevens, AI CTO and one of the original architects behind the creation of Kubernetes and the CNCF, and Rob Shaw, co-lead of the vLLM project and maintainer of LMD.Brian shares the remarkable backstory of how Kubernetes came to be open source, including how Red Hat negotiated a single committer seat before agreeing to be a launch partner, and how he later pushed Google to contribute Kubernetes to the newly formed CNCF rather than keeping it proprietary like TensorFlow.Rob explains what an inference runtime actually is: the critical piece of software that takes an abstract AI model and runs it as efficiently as possible on a GPU or other accelerator — handling everything from CUDA-level kernel optimization to memory management and concurrent request scheduling. vLLM serves as a "Rosetta Stone" between the ever-growing zoo of models (Llama, DeepSeek, Mistral, Qwen, Nvidia Nemotron) and accelerators (Nvidia, AMD, Intel, Google TPUs).The conversation covers model compression and quantization how techniques like 4-bit precision can deliver 2x hardware efficiency gains while preserving 99%+ model accuracy. Brian and Rob also address the "big model vs. many small models" debate, recommending to always start with the largest capable model to validate a use case before optimizing down.Looking ahead, both guests see inference as potentially the single largest workload ever run on Kubernetes, and position LMD (now contributed to the CNCF) as the distributed inference layer that will make this possible across heterogeneous accelerator environments preventing enterprises from ending up with 42 incompatible AI stacks.The episode closes with a discussion on AI slop, human-in-the-loop thinking, and the future of Kubernetes as the universal platform for running AI agents at scale.Powered by @acc-ict Stuur ons een bericht.ACC ICT Specialist in IT-CONTINUÏTEIT Bedrijfskritische applicaties én data veilig beschikbaar, onafhankelijk van derden, altijd en overalSupport the showLike and subscribe! It helps out a lot.You can also find us on:De Nederlandse Kubernetes Podcast - YouTubeNederlandse Kubernetes Podcast (@k8spodcast.nl) | TikTokDe Nederlandse Kubernetes PodcastWhere can you meet us:EventsThis Podcast is powered by:ACC ICT - IT-Continuïteit voor Bedrijfskritische Applicaties | ACC ICT
In this episode of Alexa's Input (AI), I sat down with Rob Shaw from Red Hat to talk about how AI inference evolved from a simple model serving problem into a large-scale distributed systems problem.We explored the infrastructure shifts behind modern LLM serving, including how vLLM and PagedAttention changed the economics and efficiency of inference, why KV cache management became one of the most important bottlenecks in production AI systems, and how orchestration layers like llm-d are emerging to coordinate distributed inference.We also discuss:how LLM inference differs from traditional model serving runtimesKV cache, prefix caching, and cache-aware routingwhy throughput and latency became major infrastructure challengeslong-context agents and repeated inference callsdistributed inference on Kubernetesintelligent routing, flow control, and load balancingprefill/decode disaggregationenterprise AI deployment realitiesvLLM has become one of the most important open-source projects in AI infrastructure, and llm-d represents a newer shift toward treating inference as a coordinated distributed system rather than just a single runtime problem.If you want to better understand the systems layer beneath modern AI applications, this episode is a deep dive into where inference infrastructure is heading next.General Podcast LinksWatch: https://www.youtube.com/@alexa_griffithRead: https://alexasinput.substack.com/Listen: https://creators.spotify.com/pod/profile/alexagriffith/More: https://linktr.ee/alexagriffithLearn more about the host atWebsite: https://alexagriffith.com/LinkedIn: https://www.linkedin.com/in/alexa-griffith/Find out more about the guest at:LinkedIn: https://www.linkedin.com/in/robert-shaw-1a01399a/ Red Hat Articles: https://developers.redhat.com/author/robert-shawGithub: https://github.com/robertgshaw2-redhat ResourcesvLLM Website: https://vllm.ai/vLLM GitHub Repository: https://github.com/vllm-project/vllmllm-d Website: https://llm-d.ai/llm-d GitHub Repository - https://github.com/llm-d/llm-d KeywordsAI inference, VLLM, LMD, distributed inference, GPU optimization, open source AI, Kubernetes, multi-cluster deployment, AI infrastructure, enterprise AI AI infrastructure, Kubernetes, model optimization, speculative decoding, mixture of experts, AI deployment, performance tuning, AI systems, neural network scaling Key TopicsEvolution of vLLM and llm-dDistributed inference and routingGPU utilization and performance optimizationOpen source AI infrastructureEnterprise deployment challenges and solutions Standardization in Kubernetes for NIC exposurePerformance optimizations: quantization and speculative decodingMixture of experts architecture and parallelism strategiesFlow control and request scheduling in AI systemsEmerging hardware for AI inference, Cerebras processorReinforcement learning and AI system supportModular architecture of vLLM and ecosystem projects
Mistral has been on an absolute tear - with frequent successful model launches it is easy to forget that they raised the largest European AI round in history last year. We were long overdue for a Mistral episode, and we were very fortunate to work with Sophia and Howard to catch up with Pavan (Voxtral lead) and Guillaume (Chief Scientist, Co-founder) on the occasion of this week's Voxtral TTS launch:Mistral can't directly say it, but the benchmarks do imply, that this is basically an open-weights ElevenLabs-level TTS model (Technically, it is a 4B Ministral based multilingual low-latency TTS open weights model that has a 68.4% win rate vs ElevenLabs Flash v2.5). The contributions are not just in the open weights but also in open research: We also spend a decent amount of the pod talking about their architecture that combines auto-regressive generation of semantic speech tokens with flow-matching for acoustic tokens (typically only applied in the Image Generation space, as seen in the Flow Matching NeurIPS workshop from the principal authors that we reference in the pod).You can catch up on the paper here and the full episode is live on youtube!Timestamps00:00 Welcome and Guests00:22 Announcing Voxtral TTS01:41 Architecture and Codec02:53 Understanding vs Generation05:39 Flow Matching for Audio07:27 Real Time Voice Agents13:40 Efficiency and Model Strategy14:53 Voice Agents Vision17:56 Enterprise Deployment and Privacy23:39 Fine Tuning and Personalization25:22 Enterprise Voice Personalization26:09 Long-Form Speech Models26:58 Real-Time Encoder Advances27:45 Scaling Context for TTS28:53 What Makes Small Models30:37 Merging Modalities Tradeoffs33:05 Open Source Mission35:51 Lean and Formal Proofs38:40 Reasoning Transfer and Agents40:25 Next Frontiers in Training42:20 Hiring and AI for Science44:19 Forward Deployed Engineering46:22 Customer Feedback Loop48:29 Wrap Up and ThanksTranscriptswyx: Okay, welcome to Latent Space. We're here in the studio with our gues co-host Vibh u. Welcome. Thanks. Excited for this one as well as Guillaume and Pavan from Mistral. Welcome. Excited to be here.Guillaume: Thank you.swyx: Pavan, you are leading audio research at Mistral and Guillaume, you're Chief Scientist,Announcing Voxtral TTSswyxHost(00:05) Okay. (00:05) Welcome to Lean Space. (00:06) We're here in the studio with trustee co-hosts, Vibhu. (00:09) Welcome.VibhuHost(00:11) Very excited for this one.swyxHost(00:12) As well as Guillaume and Pavan from Mistral. (00:15) Welcome. (00:16) Excited to be here. (00:17) Thank you for having us.(00:18) Pavan, you are leading audio research at Mistral and Guillaume, you're a chief scientist. (00:23) What are we announcing today where we're coordinating this release with you guys?GuillaumeGuest(00:26) Yeah, so we are releasing Voxtral TTS. So it's our first audio model that generates speech. It's not our first audio model. We had a couple of releases before.(00:35) We had one in the summer that was Voxtral, our first audio model, but it was like a transcription model, ASR. Like a few months later, we released some update on top of this, supporting more languages. Also a lot of table stack features for our customers, context biasing, precision, timestamping and transcription. We also have some real-time model that can transcribe not just at the end of the level.(00:56) You don't need to fill your entire audio file, but that can also come in real-time. And here, this is a natural extension in the audio, so basically speech generation. So yeah, so we support nine languages, and this is a pretty small model, 3D model, so very fast, and also state of the art. Performed at the same level as the base model, but it's much more efficient in terms of cost, and also much, in terms of cost, it's also much cheaper, only a fraction of the cost of our competitors.(01:22) And we are also releasing the work that this model is running.swyx What's the decision factor?Guillaume It's a good question.swyxThere will be more. Yeah, Pavan, any sort of research notes to add on?Architecture and CodecPavan: But it's a novel architecture that we develop inhouse.We traded on several internal architectures and ended up with a auto aggressive flow matching architecture. And also have a new in-house neural audio codec. Which, converts this audio into all point by herds latent [00:02:00] tokens, semantic and acoustic tokens. And yeah, that's that's their new part about this model and we're pretty excited that it's, it came out with such good quality and Jim was mentioning. Yeah, it's a three B model. It's based off of the TAL model that we actually released just a few months back and insert trunk and mainly meant for like the TTS stuff, but they need text capabilities are also there. Yeah.swyx: So there's a lot to cover.I always I love any, anything to do with novel encodings and all those things because I think that's obviously I creates a lot of efficiency, but also maybe bugs that sometimes happen. You were previously a Gemini and you worked on post training for language models, and maybe a lot of people will have less experience with audio models just in general compared to pure language.What did you find that you have to revisit from scratch as you joined this trial and started doing this? At leastUnderstanding vs GenerationPavan: when it comes to, for, I think the, there are two buckets, I guess the audio understanding and audio [00:03:00] generation. The audio understanding, like the walkthrough models that Kim was mentioning that we released earlier.The walkthrough chat that we released I think July last year, and the follow up transcription only, models family that we released in January, that would be one bucket, and the generation is another bucket. I think. You can also treat them as a unified set of models, but currently the approaches are a little different between these two.To your question on how audio is fed to the model? In the understanding model, it's very similar to actually Pixar models that we also released,swyx: yes.Pavan: That'sswyx: amazing.Pavan: It was pretty, I, that was the first project I worked on after joined Misra. It was pretty, pretty nice. And Wtu was very similar in spirit.I guess So we feed audio through an audio encoder similar to images through a vision encoder, and it produces continuous embeddings and which are fed as tokens to the main transformer decoded transformer model. Yeah. On the model output is just text. So on the output side, there is nothing that needs to be done in these kinds of mode.I [00:04:00] guess the interesting part of what the generation stuff is, the output now has to produce audio and. The approach that we have is this neural audio codec, which converts audio into these latent tokens. There is a lot of existing attrition and a lot of models which are based off of this kind of approach.And we took a slightly. A different, design decisions around this. But at the end of the day, the neural audio product converts audio into a 12.5 herdz set of latents. And each latent is, has a semantic token and a set of acoustic tokens. And the idea is that you take these discrete tokens and then feed it on the input side.There's several ways to use this at each frame, but we just sum the embedding. So it's like having key different vocabularies. Combine all of them because they all correspond to one audio frame on the input side. The output side is the interesting part on the output side, the, it's not the, I don't know if it's the most popular, but one.Popular technique is to have a depth transformer [00:05:00] because you have K tokens at each time step, like with a text, you just have one token at each time step. So you just do predict the token from the vocabulary with, yeah, with just, you get probabilityswyx: This's a very straightforward text. VeryPavan: straightforward.swyx: Yeah.Pavan: But if you have K tokens, then the name thing would be to predict all of them in paddle. That doesn't work. At least that doesn't work that well because audio has more entropy. And the, one of the techniques people use is this depth transformer where you you almost have a small transformer, or it can be L-S-T-M-R in as well, but people use transformers and you predict the K tokens in auto aggressive fashion in that.So you have two auto reive things going on.Flow Matching for AudioPavan: So the thing we did differently is in, instead of having this auto aggressive K step prediction, we have a flow matching model. Instead of modeling this as a discrete token set we trained the codec to be both discrete and continuous to have this flexibility.So we did try the discrete stuff too, and which it works well, but the continuous stuff works just better. So yeah, we took this flow matching, so the, it's a flow [00:06:00] matching head, which takes the latent from the main transformer and like kind in fusion, it's denoising, but in this flow matching itself, velocity estimate.So you go from this noise t all the way to there. Audio latent, which corresponds to the 80 millisecond audio and then, which is sent through the work order to get back the 80 millisecond audio frame.swyx: Yeah. Is this the first application of flow matching in audio? Because usually I come across this in the image.Pavan: Yeah. Actually, in some sense there are models flow matching models in audio, but I think this specific combination I could be wrong. There could be somewhat. No. I haven't seen. I haven't seen much work in this, so I think it's novel and a lot of it's just a way bigger community, so they, I think they pioneer a lot of these diffusion flow matching work, and it's interesting to adopt some of the ideas there into audio and,swyx: yeah.Pavan: Yeah, I'm, personally that's the think part which is trying out about. One of more meta point is unlike text, even in vision, I think this is true, but in [00:07:00] audio step literature that there is no.Winner model, yet there is no, okay, this is the way you do things. It's it's still by, I think people are still iterating and figuring out like what's the best overall recipe. I guess the idea. Pretty sure there are models which are also completely end-to-end, like NATO audio. NATO audio, but it's still not come to a convergence point where this, the right way to think that.That also makes. A space pretty exciting to explore.Real Time Voice AgentsVibhu: What are some of the ways to look at it?Vibhu: There are ways where you can do diffusion for audio generation, but if you want like real time generation, that's a big thing with the approach I'm assuming that you took. Yeah. And also like how do you go about evaluating different axes of what you care about, yeah,Pavan: good point. I think we so you can do just flow matching diffusion for the whole audio. We didn't even go down that path because one of the main applications is voice agents and we want real time streaming, and that's the use case. That's not the only use case, but that's one of the primary use cases we want to get to.So we [00:08:00] picked the auto aggressive approach for that. And within the auto aggressive space, again, you can do chunk by chunk or you can do so we picked the. I think at least personally prefer the operations, which are the simplest, and so we try to see, can we just add audio as just another head to our regular transformer decode model because that kind of makes it easier for eventual end-to-end modeling of audio text native modeling.Yeah. And it works pretty well. So I guess we went with that and we tried a little bit, but the flow matching head itself, like we had a discreet. Diffusion kind of approach, which also works well, but the flow matching work better.swyx: I was just curious about how you also think about this overall direction of research.Do you basically, when you work with the audio team, do you set some high level parameters and then let them explore whatever, or how does it work between you guys?Guillaume: No I think the way it works is that we are the, we are prioritizing together, I think, what are the most important features because there are many things we can do [00:09:00] in audio.Yeah, I think we try to. These are like how we should do things, for instance. Ultimately what we want to do is to build this through duplex model, but we are not going to start this start there directly, I think is. Some of the project people are doing, butswyx: just to confirm, full effects means it can speak while I'm speaking or,Guillaume: yeah.Okay. Audio. Yeah. Yeah. So intimately we're going to get there, but for us it was, we decided to take it like a step by step. So we start with whatever is the most important. I think support customers, which is the transcription is the most popular use case. Then the speech generation, Soviet time, just a bit before that.And then actually to be like more, but try combining everything all together. But but yeah, we thought it was also important to like separate things and optimize each capability one by one before weswyx: measure of that together. And the super omni model. ButGuillaume: very interesting because as Par said, it's when you work on some other domains of this airline and everything, there are many areas where I think it's not as interesting.For instance. Many places, it's essentially just around data or like creating new environments on a lot of kind [00:10:00] of easy things. But things were, I think the research is maybe not as interesting. Were in audio. There are so many ways to actually build this model. So many ways to go around it. That's the sense I think is really interesting.And what we also tried for speed generation is that we tried multiple approaches. What was interesting that even though they were extremely different, they under the big know the particles but the for matching turned out to be quite more natural. So we are happy with this.swyx: Is there intuition why it maybe like flow matching is just models speech better in some natural fundamental, latent dimension?Pavan: No, I think the main thing is e even at a particular time step, there is a distribution of things.swyx: Yes.Pavan: To be predicted like the way you inflate. So you already know the word that you're speaking and Yeah. The intake space, let's say the word maps register a single token for simplicity.In most cases it does. So there is not a lot of so you just pick the word, but with within audio, even the same word could, even with your own voice, could be inflicted in so many different ways. And I think [00:11:00] any approach which like models this distribution and. And flow matching is one, one of the take.It's not the only one at all, but it's a one which works pretty reasonably well. I think that's better. So you have to pick across several different, the intuition I have is it's, there are some, several different clusters each corresponding to some specific way you would inflict, pronounce that thing.And you can't predict the mean of it because that corresponds to some blurred out speech or something like that. But you have to pick one. And then like sharpswyx: conditional inference.Pavan: Yeah, exactly.swyx: Is that all covered under disfluencies, which is I think the normal term of art. Pauses intonations. By the way, I have to thank Sophia for setting all this up, including like some of these really good notes becausePavan: Yeah.swyx: I'm less familiar with the audios for me.Pavan: No. I think dis dismisses are definitely one such Eno defenses is more likeswyx: which is arms are.Pavan: Yeah, arms. And also repeat like you like,swyx: yeah.Pavan: You do this full of words, your thinking, so you repeat the word.swyx: Okay. Whereas intonation is like a diff, it's up up [00:12:00] speak and all this.Okay.Pavan: Yeah. So I think there is a lot of like entropy. And modeling it as a distribution. And a, any technique which helps with it and the depth transformer is a conditional way of modeling this. And Transformers actually really good at it, even though that's a mini transformers. So I think that worked pretty well too for us too.It's just that the main concentration is when you have a depth transformer. If you have K tokens, you need to do K auto steps, right? Even though it's a small thing, it's K steps, which is very vacant, say heavy, but flow matching. We were able to cut it down significantly. So we are able to do the inference in quad steps or 16 steps and it works pretty well.And there are more normal techniques to bring it down even further to like, in extreme case, one step like we're not doing it yet, but it at least the framework, LEDs itself to more efficient and Yes.swyx: And the image guys have done.Pavan: Yeah.swyx: Incredible work guys. Yeah.Pavan: It now you just. Send a prompt and you get an image.swyx: Yeah. Surprisingly not enough. I think image model labs use those techniques in production. I think it's, I feel like it's a lot of research demos, but [00:13:00] nothing I can use on my phone today.Guillaume: The thing, there's a thing that would be interesting here is that since, indeed I've been so much sure that has been done in the vision community compared to radio dys, stomach, I think there are so many long infra Yeah.And there are so many things we can do to actually improve this further. So it's our first version, but we have so many ways to exist, much better and much more efficient, cost efficient, soswyx: yeah.Guillaume: So really it's not a new field at all, of course, but there are still so many things that can be done.Perfect. It'sswyx: nice. I should also mention for those who are newer to flow matching, I think the creator, this guy's name is Alex, he's done I think in Europe's maybe two Europes as ago. There was, there's a very good workshop. There's one hour on like this matching is I would recommend people look that up.That's the other thing, right?Efficiency and Model Strategyswyx: The efficiency wise, like I, I imagine like the reason is open weights the reason you pick 3.6 B backbone it you are 3.4 B you are, try to fit to some kinda hardware constraints. You kinda fits some kinda basic constraints. What are they?Guillaume: Not necessarily, I think something we care about in our model that they're efficient.So we have a [00:14:00] lot of separate model, for instance. So we have this that is very small, very efficient. We also have a small OCR model that is available. Good, highly efficient as well. And I think on a project maybe there, I think companies are going to take is to have a coverage general model that will do a bit of everything.But that is also going to be expensive. On here. What want say is if you care about this specific use case, if you can actually use this model, it just does that. It's extremely good at it. Survey, very efficient. That's why we can actually add. We do, but also OCR that are like really good at that.And that would be much more cost effective factors and the general model that will contain a lot of capabilities you don't really need. So yeah. So we're doing like general model, but also like more customized model. This,Open Weights and BenchmarksVibhu: how does it compare to other TTS models? It's, we are going follow open wave.We're just dropping it. I think it's pretty good.Pavan: Yeah, I think it's pretty good. Like it, it's definitely one of the best. For sure. It's probably I would say it's the best open source model, butVibhu: decipher themselves.swyx: Yeah.Voice Agents VisionVibhu: Why now? How does it fit into broader ral vision? How do you see voice agents?How do you see voice? I think every year I've heard, okay, you're a [00:15:00] voice. You're a voice. There's a lot of architectural stuff. There's a lot of end time that see it, your solving, but where do you see voice setting?Guillaume: We had so many customers asking for voice. That's also why we wanted to build it.What's interesting in this domain is that. In a sense, if you take something simple like transcription it doesn't seem like something that should be very hard to do for a model. It's essentially, it's pattern recognition. It's classification on this. Models are very good at classifying, right?Or nonetheless, when you talk to them it's not there yet, right? It's not, you don't talk to them the same way you talk to a person. On something, maybe people don't realize it. It's in English it's still much better than in any user language, even compared to French instance. If you talk to this million in French, when you see people talking to this they'll talk very slow.They'll articulate as much as they can. So it's not natural, right? We're not yet to this. And I think, yeah, maybe the next generation will not know this, but yeah, I think people that. But our edge will actually always keep this bias speaking very slowly when they talk to this model. Even if maybe, probably in a couple of years, maybe next year it'll not be necessary anymore.But yeah. But what's interesting is to see that yeah, even for like languages [00:16:00] like yeah, French and Spanish Germans that are not no, no resource on religion. You have a lot of audios there on still it's not as good. And I think a consequence. Because then for this, I suppose just is not as much energy, as much effort that has been put done in some other mod that for some vision or like coding.But but yeah, there's still a lot of progress to be done. I think it's just a question of doing the work and it's clear path I think to get there.Pavan: It's a little fascinating because I worked on Google Assistant I think while back at this point, but it's, I think it's, it like when you take a step back, it's fascinating.It's not that long ago. It was like four years ago or five years ago, and it's now it's completely audio in, audio out and the function calling and the whole thing happens completely end to end. And in a very natural,swyx: yeah,Pavan: natural way and still ways to go. Kim was telling, even despite all the previous, it's not like you're speaking to a person.When you talk to any of these agents, bots, or voice mode kind of situation, it's still like a gap. I think that's the great part and I feel like with even the existing [00:17:00] stack, we should be able to get to this very natural speech conversational abilities soon enough I guess.And we'll also hope. I get thatGuillaume: on this kind of the next step, right? Because when you talk to these agents, like usually people are just writing to them and sometimes they'll this very clear, for instance, you are, you want to write code, but you are, you have a very clear idea of how you want the model to implement what you in mind.But so here you are able to spend a lot of time writing. So it's not really efficient on audio is really like a natural interface that is just not there yet, but I think it's just gonna be the place.Vibhu: How's it like building, serving, inferencing, like we see a lot about, it's very easy to take LMS off the shelf, serve them.Fine tuning, deploying. I know you guys have a whole you have Ford, you have a whole stack of customizing, deploying. Is there a lag in getting that. Like distribution channel. Are you helping? There is. So like prompting, lms, you can have them be concise, verbose, all that.They're built on LM backbones, these models. How do you see all that?Enterprise Deployment and PrivacyGuillaume: Yeah, I think this is a lot of what we're doing with our own customers. Very [00:18:00] often they come to us, so it's for different reasons. I think one reason is sometimes they have this lot of privacy concerns.They have this data that it's very sensitive. They don't want data to leave. The companies, they wanted to stay. Inside the company. So we have them deploy model in-house. So either on a, either on premise or on private cloud. So they're not worried that it's given to a third party on the there some leakage.Sometimes they have this kind of many companies have this different, sensitivity of data they have like sometimes channel chat can send it to the cloud has to stay there. So then it creates some kind of heterogeneous workflows where it's annoying. You cannot send some data to the cloud.This one you can, so here, when we actually deploy the model for them, they don't have this consideration. They are like not worried that, this is going to leak. Everything is much easier. So we help them basically do this on the, so it's one of the very proposition. But but the other is very often, when customers use this off the shelf close model, but very sad is that they are not leveraging, these data that have been collecting for four years or something for decades.So much data. Sometimes it's trillions of tokens of [00:19:00] data in a very specific domain. Their domain, which is data that you'll not find in the public, on the public internet. So data on which, like close model, we actually not have access to one, which that's going to be really good. So if they're using like closed source models are basically not benefiting from all these insights.All these data they have collected three years, they can always give it into the context that in France, but is never as good as if you actually train the modern analysis. So yes, that's basically what we help them to do. We actually provide them some purchase, basically what we announced at GTC this week.So we provide them with this, it's basically like a platform with a lot of tools to actually help them process data. Trained on that. Yeah, it's actually the same thing that we're using in the science team. So it's actually very better tested infrastructure, like a lot of efficient training cut base.For a quality pre-training like a fine tuning, even doing S-F-T-I-L. So we help them do this using the same tools as what our science team is building is using. So since it's tools that we've been using for two years now, it's really better tested. It's really sophisticated.So it's the same thing. We are giving to them, giving the company the same thing [00:20:00] that what are same still using internally actually build their own ai and it makes a really big difference. I think sometimes customers. And many in general don't realize how much better the model becomes when you fine tune it on your own data.And you can have a, your model is here. You start from there. You have a cross source model, which is sort here, but if you actually fine tune it can actually really go much further than this. And then you have a very big advantage. The model is trained on your entire company knowledge, so it knows everything.You don't have to feed like 10 K tokens of contact at every query. So it's it's much easier. It's a bit, I think using a closed source model is really sad because it basically puts. You are not leveraging all this data and you are going to be using the same model as all your old competitors when you're actually using, everything you have been collected for years, which is really valuable.So yeah. So we help basically customers do this. We have a lot of solution I mean deployed for engineers that go in the company that basically look at the problem customers are facing to look at what they're struggling to do what we should do to solve it. So we help them solve them together.So it's I think our approach is a bit different, but here. [00:21:00] Some of their companies and competitors, it's, we don't just release an endpoint on sale, do some stuff on top of that, or we don't just give a checkpoint. We really look very closely with customers. We look at the issues they have, we had them solve them.We really make some tailored solution for the client are facing. Some example are also going to be, sometime we have some customers. They really wanted to have a really good model, really performance on some, like Asian languages on the, if you take some of the shelf models, they can speak it, they can write in this language, but it's not amazing.This language would be like maybe zero 1% of the mixture. So it has been included during training, but very little. So what we did here is upgrade. We trained a new model for them, but so this language was 50% of the mix, so it's much, much stronger. It knows of the dialects, it knows the, so it's yeah.So it's some example of things we can do and it's really arbitrary, custom. I think you had some of their customers, for instance, they wanted some. They wanted some 3D model that can do audio with a very good function cable. So something you wanted to put in the car in particular, they wanted this to be offline because in a car you don't necessarily have access to internet.So [00:22:00] yeah. So here we can actually build the solutions. There is no like model out of the box on this. In the internet you have this very, you have this very general model generalist, like he's strong model. But for things like this, they always want at specific solutions and on some other reasons.Sometimes they come to us is because, like they, they experiment with some closed source model. They get some prototype. They're happy with what they build. They, it works well. They're happy with the performance, and then they want to go to production and then they analyze. But it's extremely expensive.You cannot push this. It's so then they come back to us on this. They can help us build the same thing as this, but using something much cheaper on here. And here we can sometime be something 10 x cheaper by just functioning a model and it'll be better OnPrem on their old server and also much cheaper as well.So yeah,swyx: that's the drop pitch right there. Take all themoney.Vibhu: And outside of that you do, we do put open wave models so people can do this themselves. I feel like not enough people go outta their way.swyx: They're not going to, they're gonna ask them to do it as the expert. IGuillaume: think initially we didn't know, [00:23:00] we wanted completely short at the beginning of the company because, I think our study was not exactly the same as what it is today, but what we underestimated initially is the complexity of deploying this model and connecting them to everything to be sure it has access to the company knowledge on the, and it was, yeah, on, we were seeing customers struggling with this, but it was even, that was three years ago and no, things are much more complicated because now you don't just have, text on SFT on a simple instruction following.You have reasoning like your agents, you have like tools. You have a multimodal audio, so it's much more complicated than before. And even back then it was hard for customers. So they really need, have some support and this is why actually providing like always some four D position as well. The processFine Tuning and Personalizationswyx: I'm curious is there also voice fine tuning that people do?Pavan: So in this forge we also have a say unified framework. And the hope is like the er speech to text that we released earlier this year. And even the ER chart that we released last year. And I think a big people, I think there's a big, rich ecosystem [00:24:00] of people fine tuning whisper, and people want the same thing with w so it's much stronger than Whisper.And yeah, the the platform offers that kind of fine tuning yeah, which could be any kind of fine tuning. Like for instance, even sometimes people want to support new languages to this, which are tail languages, which we hope to cover. Certain natively, but if there is a language where you data and you want to frank you, I think this is a good use case.Or the other use cases, you, it's the same language, like even English but it's in a very domain specific way.swyx: Yeah. Terminology, jargon, medical stuff.Pavan: Exactly. And also there's specific acoustic conditions like there's a lot of noise or the, and. The model will do decently in most conditions, but you can always make it better.And that those are some of the use cases where you can improve it e even further. And that's one good use case for this and for text to speech. We're just releasing it so we'll have support for that soon too. I think it's similar use case.Voice Personalization Pavan: It's little different the kind of things that you want to extend a [00:25:00] text to speech model to, which could be like voice personalization, voice adaptation for enterprises.Many enterprises need very specific kind of tone, very specific kind of like personality for this kind of voice. And all of those are like good use cases for fine tuning.swyx: This one I was gonna ask you, we never talked about cloning voice clothing here. How important is it, right?Like I can clone a famous person's voice. Okay. ButPavan: the main use case would be like for enterprise personalization, like enterprises need like a lot of customization. You don't want the same. Voice for all the enterprises. Each enterprise want a customized, specialized something which is representative both their brand and also their, I guess safety considerations and the use case I think the kind of thing that you would deploy as a empathetic assistant in the context of a healthcare domain would be very different from the kind of thing that would be in a customer support bot and would be different from like more conversational aspects.I think those are the. [00:26:00] Customizations you would expect from enterprise. And that's the main use case, at least from our side.Vibhu: My, my basic example is you don't want to call to customer services and have the same exact voice. It's just, it's gonna be weird.Long-Form Speech ModelsLong-Form Speech ModelsVibhu: But also on the technical side of this, so there's like a few things in TRO that I thought were pretty interesting.He's a big fan of this paper. Oh, he said very good paper. He said this is the best SR paper he's ever read. Yeah. I've hyped up this voice paper enough. We covered it. Somewhere, but a big thing. So Whisper is known for 32nd generation a 32nd processing. You extended this to 40 minutes. There was a lot of good detail in the paper about how this was done.Even little niches of how the padding is. So it's very much needed. You need to have that padding in there, the synthetic data generation around this. I'm wondering if you can share the same about the new speech to text, right? Text to speech. So how do you. How do you generate long form, coherent?How do you generate, how do you do that? And then any gems? Is there gonna be a paper?Pavan: Yeah. Yeah. They would be a technical report. Okay. Yeah. I think I could have a lot of details.Real-Time Encoder AdvancesPavan: But me I think the [00:27:00] summary of it, actually, some of the considerations in this paper were, because we started with the wipa encoder as the starting point, and now we have in-house encoders, like the bigger time model, for instance, which we released in January.Also release a technical report for that real time model as well, which is this dual stream architecture. It's an interesting architecture. You should check it out. And there we have a causal encoder and I don't think there's any strong, multilingual causal encoder out in the community. So we thought it's a good contribution.So that's one nice encoder there. Other people want to adapt. That's a good end code. And we train it from scratch. I think her. Post stack is now mature enough that we are able to train super strong ENC codes. And some of these considerations, like spatting and stuff, is a function of the Whisper ENC code.And now that we train encoders, inhouse the design concentrations are different.Scaling Context for TTSPavan: And for the question on text to speech, I think that's also leans onto the original auto aggressive decoder backbone. I think, it says very, almost identical considerations. I think the long context in it's not even long con, [00:28:00] so the model processes audio at 12.5 herds, so one second maps to like 12.5 tokens.So I think one minute is like 7.8 tokens. You can get like up to 10 minutes in eight K context window and get half an hour and 30 K context window. So that's and 30 2K context is something that's we are very comfortable training on. We can extend it even much longer. 1 48 K. Okay. You can naturally see how it can extend to even our long generations.Yeah. We need the. Like data recipe and the whole algorithm to work coherently enough through such long context. But the techniques are some way very similar to the text, long context modeling. And the key differences, it's just doing flow matching order regressively instead of a text open prediction.swyx: Okay. I think that was most, most of the sort of voice questions that we had. ButWhat Makes a Model SmallVibhu: I have a big question on Mr. Al, Mr. Small. So what is small? How do we define [00:29:00] small? What is this? What is this? I remember the days of Misal seven B on my laptop. The snuff fitting on my laptop. I could run it on the big laptop, butGuillaume: it's just additional.Question of terminology, like here what we did, baseball is north active parameters, but it's true. Really not give it another name, but yeah, we could have called it medium, but only, I,I suppose it's a model that we released mixture of experts. It's a model that combines different model before which we were doing the same, is that we had one model, general model for Israel. Doing instruction following, were like a separate model that was Devrel trial. So qu coding specify specific to code with another model for Reason Maal.So this were separate artifacts built by different team at trial on what we're doing is basically merging all of this. It was, you had pixel trial was the first vision model. We was like a separate model on the way we do things internally is that we have one team focus on one capability, build one model.On the means mature, mature enough, we decide to merge this into the [00:30:00] matrix. But here it was the first time we basically match all of this into one. But there are some other things we did at first time to merge time, for instance, like more capabilities or function coding I think would be, are, it's going to be much, much better in this trial, small platform.But but yeah, so it's our latest model on the working is,Vibhu: and yeah, key things is it's very sparse. Six, be active pretty efficient to serve. 2 56 K context. Yeah,Merging Capabilities vs Specialistsswyx: I think what's interesting is just this general theory of developing individual capabilities in different teams and then merging them.Where is this going gonna end up?Vibhu: Like we've seen the five things put together in this. Yeah. What are the next five teams?swyx: I think actually OpenAI has gone away from the original four Oh. Vision of the Omni model. This was what they were selling. All modalities and all modalities out.But I feel like you might do it.Guillaume: I think there's some mod where it's not competitive use, for instance for audio. For audio here, if you want to do transcription, I think it makes no sense to use a model. If you just want to trans tech it, it'll be very inefficient. If you want to do audio, you probably just want to be the [00:31:00] one VR 3D model performance essentiallyswyx: the same.It's going to be incredibly cheaper. So here, that's why we wantGuillaume: to have a separate but just does this. Yeah, I think the question is just, yeah. If you are to, to your model. By speech and you asking like a very complex questions on how you do this on the, just to cascade things. Do you want to put a d in a model that has like a one key around it?It's like a, not a competitive discussion, I think unaware if you doing into the direction, but that's possible. Of course. But yeah. But I think for us, the next capabilities we want to try to integrate into these models when we are going to be yes, like marketing or no reasoning better, I think more capabilities that people don't talk too much about, but at high bottom, I think for our customers in our, on different industries, for instance, things are around like a legal computer.I design all these things that is this males out of the box are to put at that. Because people, if you don't prioritize this, there is not like too benchmark on that. Butswyx: this done how toGuillaume: make this good and this just start to do the work. Extracting some that processing it [00:32:00] expression. So yeah.But we are offering the imagine to this.swyx: I think for voice. Yeah. The key thing I think over maybe like the last year or so with VO and gr Imagine and all these things is joining voice with video, right? Which people don't understand spatial audio because like most TTS is just oh, I'm speaking to a microphone in perfect studio quality.But when you have video, like the voice moves around.Pavan: That's true. The constitution was a little different in the sense that there it's like a a standalone artifact where you get the whole thing and you consume it. But in a conversational setting, it's a, you need the extreme low latency.swyx: Yeah,Pavan: streaming would be one of the primary concentrations.swyx: You can build a giant company just doing that, right? So you don't need to do the voice, but I was just know on the theme of merging modalities, that is something I, I am like, wow. Like I didn't, everyone up till, let's say mid last year was just doing these like pipelines of okay, we'll stitch a TTS model with a voice thing and a lip sync [00:33:00] thing and what have you.Nope. Just giant model. Yeah.Open Source MissionVibhu: I have a two part question. So one is, it's still open. It seems like open source is still very core to what you guys do and I just have to plug your paper. Jan 2024. This is the one trial of experts like. Very fundamental research on how to do good.Moes paper comes out very good paper for anyone. That's just side tangent. No.swyx: This thing caused, we bring back, eight by 22 was like the nuclear bomb for open source. I think it takes Shouldn be more seven B more. Yeah. Yeah. But this is a bigger opposite than me.Yeah. Yeah I don't remember this. I remember, I don't think it was January, right? It was like new reps it was, it dropped during new reps and everyone in Europes was December of 25th, I think. Yeah. The model was did as well.Vibhu: It's just a little update probably.swyx: Yeah. No, but you have a point to make.Vibhu: No, you gotta check that. But then, I just want to hear more broadly on open source for you guys, and when you had asked earlier [00:34:00] about what's next, what are the other, side tapes working on you. You put out Lean straw. This,swyx: it's not necessarily surprise. I was like, I don't, this doesn't fit my mental model or Misra.Guillaume: Yeah. First for open source in general, I think it's really something which looks to the January of the company. I think we started it per once, is we so we have open sourcing with, since the beginning and even before this. So before this, so me and Tim were at Meta, we released LA and I think what was really nice.To see that before this, for most researchers like universities, it was impossible to work on elements. There was no alien outside. And if you look at many of the techniques that were developed after, for instance, was open source all this post-training approaches like even DPOD, like preference optimization, all of this were done by people that had access to this portal.And it'll have been impossible to do without this. So it's really making sense, move faster. So we really want to contribute to this ecosystem. I think like the deep and also like very lot of impact. All these papers that are I think in the open source community are really helping the science community as a whole to move faster.So [00:35:00] we want contribute to this ecosystem. That's why we're releasing very detailed technical reports. So ma trial and our first reason model, and ation, lot of results, things that work, things that did not work as well. Think helpful on the, yeah, so for the audio model also to share a lot of details, share of them for real time model.And the, yeah, so we really want to continue this, basically belong to this community of people who share science. I think we really don't want to be, leading in a world where the smartest model, the best models are only behind, close doors. Only accessible to a shoe companies that we, as a power to decide we can use them on it.I think it's a scary future. We don't want to live in, we really want this model to be accessible to anyone that want. Intelligence to be used unaccessible by anyone who can use it. So yeah, so that's why we are pushing this mission and source model. Yeah. So not, so yeah, no strategy. So it's open source, not the first model, so not the best on the Yeah.Lean and Formal ProofsGuillaume: LIN trial I think is also one step into this direction. So it's yeah, a bit different than what we are usually releasing. But we have a small team internally [00:36:00] working on them. Formal proofing, formal math. So I think a subject we care about in general and we were working on reasoning. I think we started too early before doing reasoning without LMD is very hard, especially when you work with formal systems because the amount of data you have is negligible.It's addressable community of people writing like formal proofs. But the reason why we like it is because I think there is if you look at what people are doing with reasoning, is there, the problems that you can use. Are usually going to be problems where you can verify the output. So for instance, all this ai ME problem where the solution is a number between 100, like a thousand.So you can verify, compare this with a reference or it's an expression. You can actually compare the output expression generic with the reference. But there are many, most of them have problem and most of the reason problem. There is no like way to easily verify the solution. If the question is show that F is continuous, cannot compare in the reference, right?If it's a probe that this is true or probes is properties, there is no way to. You cannot act, simply verify the correctness of your proof. So it's hard to apply the, there is no referable reward here. So [00:37:00] what you could provide is of course, like a judge and judge that will look at your proof. But it's very hard and it's very, you could do certain, some reward hacking happening there.So it's difficult. You could provide like a reference proof, but then there are also many ways to prove the same thing. So if the model says give negative reward because it's a different poop, maybe it was still digit proof, just different. So it's not going to work well. What's nice with lean and with formal probing is that you don't have to worry about this whatsoever.We just,swyx: they're all function is largely compiles in lean is functionally the same. Exactly.Guillaume: It's like a problem if it compiles it's correct. It's very easy. And you can apply this and then you can,swyx: it's just way too small. So no human will actually go and do it.Guillaume: Yeah, that's exactly.It's the only people can do it. It's like a very small committee of people doing a PhD on that. So it's super small. And it's sad because it's actually very useful on not just mat, but also in software verification. So for instance, software verification today. So tiny market. Very few industries work on this and we need that.It's usually going to be like companies like building airplanes, air robotics,swyx: likeGuillaume: things [00:38:00] where they absolutely want to be sure. Life depend on this, but it's very rare that people formally verify the correctness of their software. But I think one of the reasons for this is simply that it's just hard to do.swyx: Are you think of TLA plus? It's the language that some people do for software verification? No. That people use in a ference, but but yeah, it's the reason I think why people don't use it more and why this industry is not as big as could be is because it's very hard. But now with cutting edges that are there, it's going to be very different.Guillaume: We're going to see much more of this. So I think yes, industry there is going to be much larger in the future that we, these models. So yeah. Here also anticipating this a little bit, we wanted to work on that because it's proving like a math theory and like a, essentially the same tools.swyx: Yeah.Reasoning Transfer and Agentsswyx: One of my theories is that because the proofs takes so long, it's actually just a proxy for long horizon reasoning and coherence and planning. Maybe a lot of people will say okay, it's for people who like math. It's for being okay. It's like a niche math language. Who cares? But actually, and you use this as part of your data mixture for [00:39:00] post-training and reasoning, actually, it might spike everywhere else.Yeah. And I think that's un under explored or no one's like really put out a definitive paper on how this generalizes.Guillaume: Yeah, absolutely. AndPavan: I think evenGuillaume: that's what we're seeing already. For instance, you should do some reasoning on math as then the American should do reason even.Yeah. In the early stage. So we, the, there is some transfer, some sort of emergence that happens. And I think some, it's also interesting, it's not just I think the topic in general, but it's, there is a lot of connection with this on including agents because. Sometimes the model can see like a three that it has to prove it's very complex, but then it can take the initiative to say, I'm going to prove this three lr.I'm going to suggest three Rs, and I'm going to in parallel prove each R. So three of them in parallel with sub agents, but I'm also going to prove them in theory and the three tool so you can do this also. Pretty interesting. You can, even if you fail to put one of the LeMar, you can actually, maybe you succeed to put the normal lema too, so you get some possible reward here.So it's a bit less Spartan issue, just get to zero one for the entire thing. [00:40:00] So it's pretty interesting. I think we can actually,Vibhu: yeah, it's also an interesting case just for specialized models in general, right? Like the cost thing you show is pretty interesting yeah, similar score wise, you are, thirty, seventy, a hundred fifty, three hundred bucks.Smaller.swyx: I think cost is a bit unfair, right? ‘cause this one is at like inference cost. It's always there on top with their margins on top of it. But, we don't know anything else, so we gotta figure it out.Vibhu: Okay.Next Frontiers in TrainingVibhu: I did wanna actually push on that more. Not on cost, but you mentioned about, okay, it's a great way to have verifiable long context reasoning.What are other frontiers that, I'm sure you guys are working on internally, there's a lot of push of people pushing back on pre-training. Scaling, RL pushing, compute towards having more than half of your training budget. All on rl. Where are you guys seeing the frontier of research in that?Guillaume: You mean theVibhu: just in foundation model training in the next, one thing that you guys do actually is you do fundamental research from the ground up, right? So you probably have a really good look at where you can [00:41:00] forecast this out.Guillaume: Yeah. I think for us we're still working a lot on the pre-training side.I think we are very far from situational, the pre-training. I think ML four preprinting will be like big step compared to everything we have done before. So we are pretty excited about this. And I think on the other side, I think now we have more and more to think about this algorithm that will actually support this very long trajectories.I think when it was, for instance, GRPO for it doesn't really work this any bit of policy. Which was okay initially because you are solving math problem that can be solved in like a few thousand tokens. So the model can alize them pretty quickly. So when you do your update, the model is never too far off.It's never too far off. But now when you are moving towards this kind of problems where certain takes hours, like six hours to get a reward, then your model is co pick places. So you have bi new infrastructure that supports this, but also new A, so now everything we're doing internally, we're trying to. Build some infra that we actually anticipate is what we have in six months, one now, which is this extremely no scenarios on the, I think when we started Missal, part of me and [00:42:00] we wanted to, is very nice under element where people are there, they can do research, they like with a lot of resources.So it was nice. I think things changed a lot when I think when J Pity came out. I think after that I think was. This one is same again. But but yeah, but it was nice. And I think we also want to work part of this descrip beforeswyx: coming to the end.Hiring and Team Footprintswyx: We're just, obviously, I think you guys are doing incredible work.You've, they are a very impressive vision for open source and for voice. What are you hiring for? What's the what are you looking for that you are trying to join the company?Guillaume: Yeah, so we are hiring a lot of people in our sense team. We're hiring, in all our offices. So we have a, our H two is in France in Paris.We have a small team in London. We like a team in Pato as well. Co we open some offices in in SAU, in Poland. So one in Zurich. We also like some presence in New York as well on Sooner one in San Francisco. So we all bit either way also like hiring remotely. So we're going the team trying to hire like very strong people.I think we want to stay, so the team is not. Instead of fairly small team. [00:43:00] But I think we want to keep it that way. ‘Cause we we find it quite efficient. So like a small team they agile so yeah.swyx: Okay.AI for Science Partnershipsswyx: Let's focus on science and the forward deployed. We actually are strong believers in science.We started the our new science pod that focuses specifically on the air for science. What areas do you think are the most promis.Guillaume: What we're pretty excited about right now, and something we have already started doing or that we'd probably be able to share more about this in a couple of months, is that we are exploring AI for science.And there are a lot of areas where we think that you could get some extremely promising buzz. If you were to apply AI in these domains. There are a lot of long inputs. You just have to find these domains where actually AI has not been yet applied, and it's usually hard to do because the people working in those domains don't necessarily know the capability of these models.They don't know. How I would just have to pair them with Yeah, exactly. Your researcher slashing, which is actually hard to do. But this matching, we're doing it naturally with our customers. So we have some company we are very closely with. So for instance, ISM Andreesen are one of our partners, so we're doing some research with them on their other, like tons of extremely interesting problems.Columns in physics, in [00:44:00] science matter science that they're essentially the only ones to work on. ‘cause they're doing something No, no one else is doing on the, yeah. So there are many domains where AI can actually revolutionize things. Just you have to think about it on you familiar with what can do or to apply it.So yeah, it's something where more modeling with our partners, with our customers sort AI for s, but.swyx: Yeah. Okay.Forward Deployed Skillsswyx: And then for deployed what it makes a good four deployed engineer, what do they need? Where do people fail?Guillaume: I think it's usually you need people that are very familiar with the tech and not necessarily with a lot of research expertise, but that are actually pretty good at using this model that can actually like that know how to do functioning, that know how to like, start some error pipeline.And it's it's not easy. It's something that mucus. Majority of companies will not be able to do this on their own. So here I think we need people that are, that like to solve problems that are accept solving some complex, very concrete problem. It's applied science basically.And yeah, so I think it's not too different. I think from the case you need in research because it's essentially you are trying to find solutions to problems that in [00:45:00] customers have not yet. So sometimes it's easy. Sometimes you're here to do the work. You have to like create synthetic data.Find some edge case. So it can be, yeah. Depends on the problem. But but yeah, you have to, I think it also a bit of patience on the be creative. I think very similar skill is Asian,Pavan: the diversity of the work they do. It always surprises me. It's it's, it goes all the way from the kind of stuff they encounter in industries.It's just very interesting. I think.swyx: Any fun like success anecdotes.Guillaume: Yeah, it can be actually training this small model on edge that just we do one specific thing can be like training some very large model without some specific languages as well. Making models really good at some tube use, like for instance, computer ID design, these kind of things.Is that pairing with vision as well? Yeah,Pavan: and the fact detection for chips or like in, in factories identifying things like it, the. Diversity could be anything where you can deploy these foundation models. So yeah the work to make it work in that specific setting, basically whatever it takes to make it like add value in that, by the way, workflow.Vibhu: Yeah. [00:46:00] And it goes across the stack, right? Like even just pulling up the website like.swyx: It's so broad on compute. It is so broad.Vibhu: We didn't even touch on if you have a coding CLI tool. One thing you guys were actually like, I think the first tool was agents, ral agents. You had the agent builder, you can serve it via API and all that.And I'm guessing forward deploy people.Guillaume: Yeah.Vibhu: Help build that out and stuff.Customer Feedback LoopGuillaume: It is also why we are, so we're doing many things, but I think that's also part of the value proposition that sometime know customers. They're always very. Extremely careful about their data and they don't want to, they don't like, trusting so many partners, trusting one partner for code, giving the data to another third party for like audios and another one.So they don't like this here. What they really like with our approach that we can help them on anything so they don't have to send the data to so many clouds. So yeah,swyx: I think that there can be many orders of magnitude more. F Ds then research scientists and they don't need your full experience, but they're still super variable to customersGuillaume: in practice.These two teams [00:47:00] are still quite intertwine, very often. Yeah. So first of all, they're using the same tools, the same data pipeline and everything on the, it's it's very helpful for the science team to get the feedback and the solution team ‘cause they can. Look at these customers are trying to do this.This is not working. It can really be show in the next version. Yeah. But this is basically a real world eval. Yeah, it's real world eval and it's not something, for instance, if you're just working in the lab, it's just ships model. But you don't do this work of for customers. You have no idea for whether your model is good at this H case.For instance, you even in year found this, right? So yeah, there is a very gap, big gap between the public benchmarks that are very like academic. OnPavan: the rare cases are just very diverse and in the specific concept of a customer, you can fine tune and make it like first evaluate, create a solid eval, benchmark, and then measure in the context of their, the kind of audio.Like for instance, one use case is literally just, there's the word for kids and they have to just say it out. It's a very specific thing. You're just saying one word and then you have to you, you'll grade the kid whether they did it right or not. It's [00:48:00] like R for, but so there're very diverse use cases and the idea is that they, the.Applied scientist engineer will go and make it better. And then from the learnings we incorporate it into the base model itself. So it's it's just better out of the box.Vibhu: Yeah. It's a good full circle system. Like the foundation model evals are all just proxies of what you really, you're never gonna have one that says it, it doesn't make sense for there to be, a one word transcription like that.It's not something you wanna fit on. Perfect.Wrap Up and Thanksswyx: Everyone should go check out everything that Michelle has to offer and try the TTS model, which will link in the show notes. But thank you so much for coming tha thanks. Such a stretch. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe
Ya era hora de rendir un homenaje en condiciones a La Más Draga, y qué mejor compañía que la de Tito Dakota y Parodi Paradise, además de la presencia intermitente de la mismísima Glenda Galore. Tito se queja de que nos hemos desviado mucho por derroteros ajenos a LMD, pero es que la presencia enciclopédica de Parodi y nuestro pensamiento lateral nos ha impedido centrarnos del todo en el asunto, por mucho que lo intentáramos. Un episodio para muy cafeteros, que por otra parte se nos antoja imprescindible.
Étudier à l'étranger offre de nombreuses opportunités passionnantes, mais cela peut également présenter des défis auxquels le futur étudiant en partance doit être préparé. ✅ DANS CET ÉPISODE NOUS ABORDONS :Barrière linguistique et adaptation culturelle. Différences dans les méthodes d'enseignement et les systèmes éducatifs.Isolement social, éloignement familial, gestion financière et tâches administratives. Les défis de l'étude à l'étrangerAvantages et enrichissements de l'expérience internationaleAcquisition d'indépendance et de compétences interculturelles et linguistiques. Développement personnel et professionnel grâce à la résolution de problèmes et au réseau international.Impact positif sur les perspectives d'emploi et la promotion de la tolérance.Initiatives et systèmes favorisant la mobilité étudiante Programme Erasmus et l'émergence de « bébés Erasmus ».Processus de Bologne : création de l'espace européen de l'enseignement supérieur et adoption du modèle LMD par 48 pays.Reconnaissance des diplômes à l'étranger Dépendance des accords bilatéraux pour la reconnaissance des diplômes. Variabilité des procédures de reconnaissance dans différents pays et régions.
Recibiremos a Jose, Gil y Román de Bestia Negra, con los que charlaremos de No One Alive, Radioactive Monkeys, Raposu Rock Iron Maiden... y ya que estamos, de la historia de Bestia Negra, su primer disco, y lo que nos espera en el futuro, para empezar, abriendo la segunda edición del Luarca Metal Days este próximo Viernes 11 de Julio. Y además, todo este percal: Infeccion, Maizu Rock, Catalina Grande Piñón Pequeño, Revealbandofficial, Adizión Etílika, Sartenazo Cerebral, Ochobre, Rockvera - Asociación Monorock, La Tarrancha, Luarca Metal Days, Azrael, EDEN - Metal Band, Huracan Rose, REYLOBO, WARG, Black Sabbath, Deep Purple, UNLEASHED y The Beatles
BUFFALO, NY - June 11, 2025 – A new #research paper was #published in Volume 16 of Oncotarget on May 29, 2025, titled “Durable complete response in leptomeningeal disease of EGFR mutated non-small cell lung cancer to amivantamab, an EGFR-MET receptor bispecific antibody, after progressing on osimertinib.” A team led by first author Jinah Kim, from the University of Vermont Medical Center, and corresponding author Young Kwang Chae, from the Feinberg School of Medicine, reports a clinical case in which a patient with advanced non-small cell lung cancer (NSCLC) carrying rare EGFR mutations responded remarkably to amivantamab after other treatments had failed. The patient experienced a complete resolution of brain and spinal fluid metastases, suggesting that amivantamab may be a viable option for patients with uncommon genetic profiles and limited therapy options. Lung cancer remains one of the leading causes of cancer-related deaths worldwide. Patients with NSCLC who have rare mutations in the EGFR gene often face limited treatment options and poor outcomes, especially when the disease spreads to the brain or spinal fluid. This case involved a 67-year-old man diagnosed with NSCLC who had two rare EGFR mutations—G719A and A289V. After disease progression on osimertinib and other therapies, the patient began amivantamab monotherapy. Within six weeks, his lung tumor shrank by over 30 percent. By six months, imaging confirmed the disappearance of brain metastases and leptomeningeal disease, a serious condition affecting the membranes of the brain and spinal cord. Blood tests showed no detectable cancer-related mutations, and the patient, previously wheelchair-bound, regained the ability to walk and perform daily activities. This response has been sustained for more than 19 months. “Treatment produced a durable response over 19 months, including a 32.2% reduction in tumor size at six weeks, and complete resolution of brain metastases and LMD by six months.” Amivantamab is a bispecific antibody that targets EGFR and MET, two key drivers of tumor growth. While it is approved in combination regimens for common EGFR mutations, its effectiveness as a single agent in rare mutations or in treating brain metastases remains largely unproven. This case challenges the assumption that large antibody drugs cannot cross the blood-brain barrier and suggests that amivantamab may have potential in managing central nervous system involvement. Further research is needed to clarify how the drug achieves these effects and to explore its broader use in patients with rare EGFR mutations and limited treatment options. This case highlights three key findings: amivantamab may be effective against rare EGFR mutations, can be used as monotherapy, and may overcome the challenges of the blood-brain barrier. Although based on a single patient, the results provide encouraging evidence to support further investigation of amivantamab in treating difficult-to-manage forms of NSCLC. DOI - https://doi.org/10.18632/oncotarget.28730 Correspondence to - Young Kwang Chae - young.chae@northwestern.edu Video short - https://www.youtube.com/watch?v=RJX3rmtH7h8 Subscribe for free publication alerts from Oncotarget - https://www.oncotarget.com/subscribe/ Keywords - cancer, amivantamab, monotherapy, rare EGFR mutation, NSCLC, leptomeningeal disease To learn more about Oncotarget, please visit https://www.oncotarget.com and connect with us: Facebook - https://www.facebook.com/Oncotarget/ X - https://twitter.com/oncotarget Instagram - https://www.instagram.com/oncotargetjrnl/ YouTube - https://www.youtube.com/@OncotargetJournal LinkedIn - https://www.linkedin.com/company/oncotarget Pinterest - https://www.pinterest.com/oncotarget/ Reddit - https://www.reddit.com/user/Oncotarget/ Spotify - https://open.spotify.com/show/0gRwT6BqYWJzxzmjPJwtVh MEDIA@IMPACTJOURNALS.COM
Grand événement - À la recherche d'un Avenir Commun DurableL'IA et les mathématiques pour la météorologie et la climatologieAI and math for meteorology and climatologyCollège de FranceAnnée 2024-20255 mai 2025Grand événement - AI and math for meteorology and climatology - Thomas Dubos: Hamiltonian insights and the challenge of unresolved processes in geophysical modelsThomas DubosProfesseur, École PolytechniqueRésuméMathematical and numerical models of the atmosphere and ocean rely on various assumptions, approximations, and simplifications. Over the past decade, significant progress has been made in elucidating their structure and interconnections, particularly for the resolved and reversible fluid components. This advancement has largely been driven by Hamiltonian approaches, encompassing both Hamilton's principle of least action and the associated symplectic structure. Moreover, these insights have influenced the development of numerical methods in production-ready models.This progress shifts attention toward the unresolved and irreversible processes, where mathematical and theoretical foundations remain scarce—and may continue to be so. I will challenge the notion that partial differential equations are all that is needed, and highlight areas where theoretical progress seems possible. Hopefully, this perspective can shed light on the respective roles of physics-based and data-driven components in comprehensive models.Thomas DubosThomas Dubos studied mathematics and physics at the École Normale Supérieure (Paris) and obtained his Ph.D. in 2002 at the Laboratoire de Météorologie Dynamique (LMD), focusing on transport through two-dimensional turbulence. As Assistant Professor and then Professor at LMD/École Polytechnique, his research focused on geophysical turbulence and hydrodynamics. More recently, he has used Hamiltonian methods to uncover the structure and connections of existing geophysical models, to derive new models, and to develop numerical methods with desirable physical properties. This fundamental work has contributed to the development of the LMDZ, the atmospheric general circulation model developed at LMD, which is part of the Earth System Model at the Institut Pierre-Simon Laplace (IPSL).
Issue 194 - Thunderbolt Ross Intro Captain America: Brave New World reaction coming to Patreon Background (1:38) General Thaddeus “Thunderbolt” Ross created by Stan Lee and Jack Kirby in The Incredible Hulk #1 (May 1962) Lieutenant General Thaddeus “Thunderbolt” Ross oversees gamma bomb project that ultimately leads to the creation of the Hulk (Bruce Banner) Grew up in a military family, and was focused on serving his country from a young age - joined the Army Air Corps (later Air Force) and worked his way up through the ranks Bruce's growing relationship with Ross' daughter Betty was a source of frustration and anger for him, as was the recurring nuisance of the Hulk - Ross made it his personal mission to find and destroy the Hulk Several times he allied with villains to battle the Hulk, which ultimately led to his dismissal from the military Betty and Bruce get engaged, but the Leader turns Hulk savage, and the wedding is called off - Betty later marries Glenn Talbot, and Ross is satisfied that Banner will never be his son-in-law When Talbot was captured by the Soviets in a rescue mission to save Ross, his apparent death fractured his relationship with Betty, as well as a demotion at work because of his inability to capture the Hulk Betty divorced Talbot and revealed she still loved Bruce - enraged by this, Ross allied with MODOK to have the Abomination kill the Hulk, but Betty caught wind of the plan and accused her father of treason - he was discharged from the Air Force and nearly committed suicide When Bruce and Betty get married, Ross shows up at the wedding with a gun to stop the ceremony - Rick Jones intervenes and is shot non-fatally In a SHIELD experiment he merges with Zzzax, a being of sentient electrical energy - in a battle with a mutant, he expends his energy to save Betty, and dies His body was resurrected by the Leader, and he rejoins the Air Force After Betty is killed by the Abomination and Hulk is exiled by the Illuminati, Ross sinks into an alcoholic depression - when Steve Rogers is shot, he is visited by MODOK and the Leader and offered a chance to gain Hulk-like powers - he then becomes Red Hulk, and his first act is to kill the Abomination for murdering Betty Ross' identity as the Hulk is kept secret for over two years before being revealed during World War Hulks He later joins the Avengers, where he befriended an LMD named Annie that helped give him some perspective and understanding about things Temporarily bonds with both the Venom symbiote and the Spirit of Vengeance, becoming a being known as the Circle of Four - this is to defeat Blackheart, son of Mephisto Gets depowered by Doc Green, a super-intelligent version of the Hulk Issues - Theme is “a small river flowing long enough becomes a canyon” (7:10) When tradition becomes a trap Overprotective of his daughter (13:44) Oh yeah, the Hulk stuff (25:15) Break (29:06) Plugs for Play Comics & Geek Peak Treatment (30:19) In-universe - Out of universe - (32:37) Skit (39:51) Hello General Ross, I'm Dr. Issues. - Doctor, with all due respect, let's set the record straight. I didn't come here for treatment. I came here for a clean bill of health. I've been involved in enough government missions, secret protocols, and super-powered expeditions that I should be the last one to hide from any flaws. I'm not perfect, but I don't have to be. And that was before I learned about getting red in the face. Well, that is a hot start, General -I don't do jokes, if you don't mind. There are serious matters at hand. But you…I'll keep that in mind. Sheesh. There are always serious matters at hand. That's how the world works. That doesn't mean they all have to involve you. -Agreed. I pick my spots. But those are enormous spots. I know my enemy better than they know themselves. That's what's lacking in battles nowadays. The foe has no concept of planning. So many people think being random makes you dangerous. It just makes you a fool. Well, not to sound condescending, but I doubt all of your plans go the way you want them to. -A plan is useless. PLANNING is indispensable. Do you know who said that? Dwight Eisenhower. So you enjoy the process necessary to reach goals, and not just the goal itself. -If I didn't then I would have stopped existing a long time ago. I think people get that wrong about me. They think I'm some madman that wants to destroy the Hulk at all costs. And that was wrong…how? -I was never a madman. I'm calculating the whole way through. The heat thing says otherwise -Emotion in battle, Doctor. It's something you can't wrap your head around. Oh yeah, I get the rage, but in the fog of war, that can be the guide to see you through. No hippie woo woo love fest is going to save you when bullets are zipping and bombs are dropping. The only time you bring in God is to say “Thank God it's over” and you've won. You present more demure than expected. -You sound like one of those Gen Z types when you say that. You're a grown man. Act like it. So no social media memes; understood sir. But are you really past everything that's listed in your file? Banner? Betty? Intelligencia? Avengers? It says here your own likeness was killed! None of that sounds traumatic to you? -Of course it does. So what? We all have trauma. I used to let it eat at me, just shove it down my own throat, and let it all come out when the time is right. But with what I have now, there's no secrets. It's on my skin, in my veins, and radiating through the air. I finally found a way to have nothing to hide. My choices, my fights, my consequences. Anything to add to that? You're hitting the same note. What brings you enjoyment? How about sadness? Do you have any fears left? -You're breaking the cardinal rule; you're supposed to ask one question at a time. I'm sad that too many people think too small for their entire lives. I find joy in being one of the few living creatures to destroy multiple so-called badasses because I can adjust tactically and not be held down by magical thinking. I fear that anything less than a perfect rating in this assessment will leave me with a permanent mark that will have me use your office as a rage room. *pause* Didn't you shoot someone at your daughter's wed -*interrupting* RAGE. ROOM. You don't have to be so pushy about it. -So, are you slapping the PTSD label on like everyone else? No, I'll think outside the box and go I-G-E-D. -What the hell is that? Intermittent Gamma Explosive Disorder -*Groans* Doc Samson was right about you. Ending (43:41) Recommended reading: World War Hulks Next episodes: DerpyCon panel, Colleagues on the Couch w/ Dr. Ashley Zultanky, Shadowman Plugs for social & GonnaGeek Network References: Incredible Hulk episode with Popcorn Psychology - Anthony (2:00) “Calm Down” by Busta Rhymes & Eminem - Anthony (30:38) Apple Podcasts: here Google Play: here Stitcher: here TuneIn: here iHeartRadio: here Twitter Facebook TikTok Patreon TeePublic Discord
Étudier à l'étranger offre de nombreuses opportunités passionnantes, mais cela peut également présenter des défis auxquels le futur étudiant en partance doit être préparé. ✅ DANS CET ÉPISODE NOUS ABORDONS :Barrière linguistique et adaptation culturelle. Différences dans les méthodes d'enseignement et les systèmes éducatifs.Isolement social, éloignement familial, gestion financière et tâches administratives. Les défis de l'étude à l'étrangerAvantages et enrichissements de l'expérience internationaleAcquisition d'indépendance et de compétences interculturelles et linguistiques. Développement personnel et professionnel grâce à la résolution de problèmes et au réseau international.Impact positif sur les perspectives d'emploi et la promotion de la tolérance.Initiatives et systèmes favorisant la mobilité étudiante Programme Erasmus et l'émergence de « bébés Erasmus ».Processus de Bologne : création de l'espace européen de l'enseignement supérieur et adoption du modèle LMD par 48 pays.Reconnaissance des diplômes à l'étranger Dépendance des accords bilatéraux pour la reconnaissance des diplômes. Variabilité des procédures de reconnaissance dans différents pays et régions.
En la 537ª Noche de Llobos recibimos a Ekliptika, una banda de mozos insultantemente jóvenes que vienen de ser segundos en el Oviedo Rock y Abierto hasta el amanecer, y ganar el Perchera Suena, así que es el momento de conocerlos un poco meyor. Y además, todo este percal KARMA FEST, Heart Of A Coward, Luarca Metal Days, Lujuria_Oficial, Terro-Ria "Horror Show", Txarly Usher y Los Ejemplares, Raposu Rock, Polemika Rock, Ochobre, Dioivo, CICONIA, Monoxido, Z Live Rock, Alestorm, Bocanada Oficial FB, Santa Planta, SKID ROW, Bewitched, Astral Doors, VOLA y T.Rex
En la 537ª Noche de Llobos recibimos a Ekliptika, una banda de mozos insultantemente jóvenes que vienen de ser segundos en el Oviedo Rock y Abierto hasta el amanecer, y ganar el Perchera Suena, así que es el momento de conocerlos un poco meyor. Y además, todo este percal KARMA FEST, Heart Of A Coward, Luarca Metal Days, Lujuria_Oficial, Terro-Ria "Horror Show", Txarly Usher y Los Ejemplares, Raposu Rock, Polemika Rock, Ochobre, Dioivo, CICONIA, Monoxido, Z Live Rock, Alestorm, Bocanada Oficial FB, Santa Planta, SKID ROW, Bewitched, Astral Doors, VOLA y T.Rex
In the latest gripping installment, our heroes find temporary refuge in Rest Station M, allowing Drake Tungsten to fine-tune Omega's suit while Captain America shares a poignant wartime story. Meanwhile, Luma Prime assists Drake Tungsten in crafting an alert system to safeguard their sanctuary. However, as the night descends, an ominous alarm pierces the silence, plunging the cavern into total darkness. The eerie growls and the unmistakable sound of "Snikt" herald the arrival of Arcade's diabolical creation: an LMD version of Wolverine. Amidst the chaos, Captain America's unexpected alliance with Arcade sends shockwaves through the team, culminating in a harrowing showdown where bullets fly and loyalties are tested. As the dust settles, our heroes find themselves hurtling into the unknown depths, betrayed and alone. What sinister fate awaits them in the darkness below? Tune in to find out in this heart-stopping episode of high-stakes drama and betrayal. Facebook Group: https://www.facebook.com/groups/1628612284256101/ Instagram: https://www.instagram.com/leagueofmelanatedgentlemanpod/ YouTube: https://www.youtube.com/@TheLMGPodcast Host: Jordan Mitchell Cast: The Narrator - Jordan Drake Tungsten - Josh Luma Prime - Ethan Omega - David Music: The Story Begins - Pecan Pie
Liong Mah of Liong Mah Design joins Bob "The Knife Junkie" DeMarco on Episode 498 of The Knife Junkie Podcast (https://theknifejunkie.com/498).Liong began his career with knives as a full-time chef in New York City. Liong Mah Design is the culmination of over 19 years of knife appreciation and design.Liong Mah Design features a broad catalogue of folders that seek to give the knife user of all types cutting performance in a simple package.The first Liong Mah design to get a lot of buzz and positive attention was the CRKT Eraser, a knife the Knife Junkie regrets selling!LMD folders range in usage from EDC to pocket food prep knives, from the lean and tactical to the embellished practical. In an effort to bring LMD to a broader market, Liong created Eutektik, a high-value folder line featuring Sandvik 14c28n or D2 blade steels and G10 and micarta liner lock handles.Liong spends countless hours on each design and works with the world's top manufacturers and machine shops to offer his superlative blades.Find Liong Mah Design online at https://liongmah.com and on Instagram at https://www.instagram.com/liongmah. Liong Mah Design also has a private Facebook group: https://www.facebook.com/groups/liongmahdesignspace.Be sure to support The Knife Junkie and get in on the perks of being a patron, including early access to the podcast and exclusive bonus content. Visit https://www.theknifejunkie.com/patreon for details. You can also support The Knife Junkie channel with your next knife purchase. Find our affiliate links at https://theknifejunkie.com/knives.Let us know what you thought about this episode and leave a rating and/or a review. Your feedback is appreciated. You can also call the listener line at 724-466-4487 or email bob@theknifejunkie.com with any comments, feedback, or suggestions.To watch or listen to past episodes of the podcast, visit https://theknifejunkie.com/listen. And for professional podcast hosting, use The Knife Junkie's podcast platform of choice: https://theknifejunkie.com/podhost.
Reviewing this standalone issue where the Soviet Chinese steal SHIELD's LMD formula to create a new Captain America! Fresh from the headlines and pop culture of that time, this 1968 story features amazing artwork by the King! Plus... Bob discusses his 1970s Disco dance lessons... Check this episode out on YouTube: https://youtu.be/4TxnEQqV-rM Connect with Rick & Bob and fellow Cap fans at https://www.facebook.com/groups/captainamericacomicbookfans and https://twitter.com/CapComicFans Are you enjoying this podcast series? Please help by donating at: https://podcasters.spotify.com/pod/show/capcomicbookfans/support Please subscribe, rate and review! Want to be part of the show? Leave a recorded message at https://podcasters.spotify.com/pod/show/capcomicbookfans/message Our home page is https://captainamericacomicbookfans.com --- Send in a voice message: https://podcasters.spotify.com/pod/show/capcomicbookfans/message Support this podcast: https://podcasters.spotify.com/pod/show/capcomicbookfans/support
Już 14 marca odbędzie się 10. edycja konferencji LEGAL MARKET DAY. Zapraszam Was na opowieść o pierwszej dekadzie tego wyjątkowego wydarzenia. W 104. odcinku podcastu nie ma jednego gościa. Pytania zadaje przede wszystkim Marcin Tomczak, ale wspólnie opowiadamy historię konferencji LEGAL MARKET DAY - naszego flagowego projektu eventowego.Usłyszysz do tym:
Esta semana, en la cuarta semana del año, hemos sido testigos de una mezcla de emociones. A pesar de las emocionantes novedades que hemos presentado, también hemos sido testigos de noticias negativas, como los despidos del 9% de la plantilla de eBay. Por otro lado, hemos compartido la emocionante noticia de que MIravia lanzará su propio servicio logístico; Meta ha anunciado la posibilidad de desvincular las cuentas de Facebook, Messenger e Instagram para cumplir con la LMD; y para culminar, TravelPerk ha completado con éxito la primera gran ronda de financiación del año en España.
BUFFALO, NY- January 24, 2024 – A new #case report was #published in Oncotarget's Volume 15 on January 16, 2024, entitled, “Lazarus effect in a patient initially empirically treated with osimertinib for EGFR L858R mutant non-small cell lung cancer with leptomeningeal disease: a case report.” Osimertinib has been shown to be effective for patients with non-small cell lung cancer (NSCLC) with activating EGFR mutations. These patients are also at risk for leptomeningeal disease (LMD). LMD is characterized by central nervous system metastases with spread to the cerebrospinal fluid or leptomeninges. In patients with NSCLC with EGFR activating mutations, there is an increased occurrence of LMD, which occurs in 9% of patients. In this new report, researchers Shreya Bhatia, Manuel G. Cortez, Spencer Lessans, and Wade T. Iams from Vanderbilt-Ingram Cancer Center present a patient of East Asian descent whose initial presentation included severe, progressive leptomeningeal carcinomatosis and a small lung mass, with limited tissue available for molecular testing. She responded to empiric, urgent initiation of osimertinib, repeat tissue sampling revealed an EGFR L858R mutation, and she has experienced durable disease improvement for 18 months on osimertinib monotherapy. “Our case demonstrates the nuances of decision-making in starting osimertinib in urgent clinical settings. Given our patient's progressively worsening functional status and spread of disease to her CNS upon presentation, there was a need to begin treatment imminently. Time constraints, financial constraints, and lack of sufficient tissue for analysis ultimately led to the empiric use of osimertinib. Through the urgent initiation of appropriate anti-cancer therapy, she experienced both a life saving improvement in functional status and improvement in her LUL primary tumor one month into treatment.” DOI - https://doi.org/10.18632/oncotarget.28550 Correspondence to - Wade T. Iams - wade.t.iams@vumc.org Sign up for free Altmetric alerts about this article - https://oncotarget.altmetric.com/details/email_updates?id=10.18632%2Foncotarget.28550 Subscribe for free publication alerts from Oncotarget - https://www.oncotarget.com/subscribe/ Keywords - cancer, EGFR mutation, leptomeningeal disease, non-small cell lung cancer, osimertinib About Oncotarget Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science. To learn more about Oncotarget, please visit https://www.oncotarget.com and connect with us: SoundCloud - https://soundcloud.com/oncotarget Facebook - https://www.facebook.com/Oncotarget/ X - https://twitter.com/oncotarget Instagram - https://www.instagram.com/oncotargetjrnl/ YouTube - https://www.youtube.com/@OncotargetJournal LinkedIn - https://www.linkedin.com/company/oncotarget Pinterest - https://www.pinterest.com/oncotarget/ Reddit - https://www.reddit.com/user/Oncotarget/ Spotify - https://open.spotify.com/show/0gRwT6BqYWJzxzmjPJwtVh?si=&nd=1&dlsi=c12c9dbac1be421d Media Contact MEDIA@IMPACTJOURNALS.COM 18009220957
Étudier à l'étranger offre de nombreuses opportunités passionnantes, mais cela peut également présenter des défis auxquels le futur étudiant en partance doit être préparé. ✅ DANS CET ÉPISODE NOUS ABORDONS : Barrière linguistique et adaptation culturelle. Différences dans les méthodes d'enseignement et les systèmes éducatifs. Isolement social, éloignement familial, gestion financière et tâches administratives. Les défis de l'étude à l'étranger Avantages et enrichissements de l'expérience internationale Acquisition d'indépendance et de compétences interculturelles et linguistiques. Développement personnel et professionnel grâce à la résolution de problèmes et au réseau international. Impact positif sur les perspectives d'emploi et la promotion de la tolérance. Initiatives et systèmes favorisant la mobilité étudiante Programme Erasmus et l'émergence de « bébés Erasmus ». Processus de Bologne : création de l'espace européen de l'enseignement supérieur et adoption du modèle LMD par 48 pays. Reconnaissance des diplômes à l'étranger Dépendance des accords bilatéraux pour la reconnaissance des diplômes. Variabilité des procédures de reconnaissance dans différents pays et régions.
Hello and welcome to Bill vs the MCU! Each month your hosts Pop Break Podcasts Editor Alex Marcus and Pop Break Editor in Chief Bill Bodkin take another step into the wider Marvel Multiverse, with reviews and interviews on the film and television series that may be drawn upon as the MCU dives deeper and deeper into its Multiverse Saga. In this episode, the androids are on the loose and Alex & Bill are grabbing the nearest shotgun ax as they review Agents of SHIELD S4E9-S4E15 aka the LMD arc. To help fight off the new robot overlords, Alex is joined by an Agents of SHIELD podcasting legend, SP Rupert, host of the long running Marvel podcast Legends of SHIELD. Alex also grills Bill on a special Phase 5 main character pop quiz during this month's Miss Minutes Marvel Memo! Don't forget to come back next month when they'll be reviewing Agents of SHIELD S4E17-22, aka Agents of Hydra! Agents of SHIELD S1-7 are available to stream on Disney+.
Hello and welcome to Bill vs the MCU! Each month your hosts Pop Break Podcasts Editor Alex Marcus and Pop Break Editor in Chief Bill Bodkin take another step into the wider Marvel Multiverse, with reviews and interviews on the film and television series that may be drawn upon as the MCU dives deeper and deeper into its Multiverse Saga. In this episode, the androids are on the loose and Alex & Bill are grabbing the nearest shotgun ax as they review Agents of SHIELD S4E9-S4E15 aka the LMD arc. To help fight off the new robot overlords, Alex is joined by an Agents of SHIELD podcasting legend, SP Rupert, host of the long running Marvel podcast Legends of SHIELD. Alex also grills Bill on a special Phase 5 main character pop quiz during this month's Miss Minutes Marvel Memo! Don't forget to come back next month when they'll be reviewing Agents of SHIELD S4E17-22, aka Agents of Hydra! Agents of SHIELD S1-7 are available to stream on Disney+. --- Send in a voice message: https://podcasters.spotify.com/pod/show/popbreaktv/message
Dans cet épisode nous recevons LAN Ting et Bernard MOÏSE. LAN Ting est de nationalité chinoise et fondatrice et co-directrice d'E-ART. Elle vit et travaille à Hangzhou, Chine. Après une formation d'art à Tianjin en Chine, LAN Ting a poursuivi ses études en France où elle a obtenu un Master en Communication et Information (2007). Elle a ensuite fait un doctorat à l'Université de Toulon, France (2010). Sa thèse portait sur "L'enseignement à distance et l'interculturalité". De retour en Chine, elle a enseigné le chinois dans diverses institutions et entreprises françaises. En 2011, elle a été nommée par l'Ambassade de France pour diriger la promotion de l'enseignement supérieur français pour la région du Zhejian avec Campus France. En 2018, elle a dirigé une étude et la mise en place d'un nouvel établissement d'enseignement supérieur pluridisciplinaire et multiculturel franco-chinois entre 3 écoles : ENSCI, EnsAD et CAA (en Chine), en co-direction avec Bernard Moïse, alors directeur de projet à l'Ensci et au Centre Michel Serres. Après avoir fondé la prépa. E-Art en 2015, LAN Ting s'est associée en 2017 avec Bernard Moïse pour créer la PLATEFORME E-Art et le CAMPUS E-Art. En 2023, en parallèle de la création de la plateforme Republic Of Arts, elle entreprend une nouvelle thèse de recherche sur l'enseignement à distance. Bernard MOÏSE (dit Moxi en Chine) est un designer et plasticien Français formé à l'ensci Les Ateliers. Il vie entre Paris - Marseille (France) et Hangzhou (Chine) Designer de formation, Bernard MOÏSE partage son temps entre la création, le design et l'enseignement. Plasticien sous le nom de Moïse-B (Moxi en Chine), il propose une réflexion critique sur les objets par des installations artistiques provocatrices. Designer au sein de son agence MOISE STUDIO, il conseille des entreprises dans leur stratégie d'innovation. Il est expert en design auprès de BPI France et Président de l'Agora du Design. Bernard Moïse enseigne et est directeur pédagogique à l'école Camondo Méditerranée. Depuis 2017, il co-dirige E-ART, plateforme d'enseignement en art et design. E-ART CAMPUS est une plateforme d'échange pour développer les échanges artistiques et culturels entre la France et la Chine. Elle a été fondé par LAN Ting, une entrepreneuse culturelle franco-chinoise. De 2015 à 2017, elle forme des étudiants chinois à la culture et aux pratiques artistiques européennes. Elle organise aussi des résidences d'artistes permettant à une trentaine d'artistes de venir travailler en Chine. En 2017, sa rencontre avec le designer Bernard Moise oriente E-ART vers la création d'une véritable école d'art et de design française en Chine, avec un enseignement aligné sur le système LMD européen E_ART Campus . Depuis, Lan Ting et Bernard Moise développent de nombreux projets autour de la création, du design et de l'art contemporain : l'école E-ART Campus, l'organisation de conférences d'artistes et intellectuels français en Chine, (Bernard Stiegler, Daniel Buren, Françoise Marquet ,...), Accompagnement du Centre Georges Pompidou pour son musée à Shanghai, le développement des Micofolies de la Villette, etc. En 2023, parallèlement à E-ART Campus, ils entreprennent la création d'une plateforme d'enseignement en ligne, Republic of Arts. https://www.e-art.fr --- Send in a voice message: https://podcasters.spotify.com/pod/show/nodesignstudio/message
Seguimos en Humanamente hablando con Sandy: Con Permisa, edición LMD6. Hoy para acompañarme tenemos por primera vez en su solo era a nuestro querido Kevin aka Spice. Quien empezó a ver LMD; cayó en el brilloteo, los trucos y hasta está en la pasta de los venenos. Entre harta risa y divagues varios, intentamos revisionar "La + Picada" y les adelanto que sufrimos muchísimo por nuestro Braulio 8000. ¿Cuáles serán las opiniones de este episodio? ¿Estamos ya chatos de los #TeamShort y las "bonitas"? Vaya a escucharnos palabrear de lo lindo :) ¿Quieres ser parte del #TeamNetzias? Escríbenos a @conPermisaPodcast en instagram :) Recuerda que también te puedes unir a nuestro Chat en WhatsApp donde hablamos sobre everything de Drag Race entre otros ;) Ya empezamos a compartir stickers de estas temporadas y de todo. Acompañanos en el grupo ;)!!! --- Send in a voice message: https://podcasters.spotify.com/pod/show/conpermisapodcast/message
This Shine podcast interview kicks off Season 6. The number 1 priority for HR in 2023 and 2024 is leadership and manager effectiveness. The current and future talent are assessing companies differently than before. People and especially high performers are looking at a company's commitment to diverse leadership, how the senior leadership is walking their talk, psychological safety, professional development, and continued growth opportunities within the company. A company's continued relevance, success, and expansion will be based on the consciousness of the leaders it grows and retains. In this podcast, learn how you can prioritize and design a learning and leadership strategy for long game success. We talk about the successful learning and leadership program results I have directed and why I am your next great leadership hire. Experience a powerful awareness practice you can use to foster greater well being, inclusion and belonging in yourself, your relationships and at work. This inspiring episode will support you to advocate for learning and leadership development as a must have, rebuild the manager pipeline, and skill up the next generation of leaders to create a purposeful and healthy organization that is thriving. Episode Links: Athena salon- Becoming a Conscious Leader: The Skills You Need to Create a healthy organization in 2024. LinkedIn SHINE Links: Thank you for listening. Want to build a high trust, innovative, and inclusive culture at work? Sign up for our newsletter and get the free handout and be alerted to more inspiring Shine episodes Building Trust Free Gift Carley Links: LinkedIn Consultation Call with Carley Book Carley for Speaking Leading from Wholeness Learning & Development Carley's Book Executive Coaching with Carley Well Being Resources: Inner Game Meditations Inner Game Leadership Assessment Social: LinkedIn IG Website Shine Podcast Page IMPERFECT SHOW NOTES Hi, my name is Carley Hauck and I am host of the shine podcast. This podcast has been flickering strong since May 2019. I began the podcast due to all the research I was conducting. In interviews with organizational leaders, lead scientists, academic researchers and spiritual teachers for my new book shine, ignite your inner game to lead consciously at work in the world. I wrote my book to inspire a new paradigm of conscious leadership and business that was in service of higher purpose to help humans flourish, and regenerate our planet. The podcast focuses on the science and application of conscious inclusive leadership, the recipe for high performing teams and awareness practices that you can cultivate to be the kind of leader our world needs now. I will be facilitating two to three episodes a month. And before I tell you about the theme of our season, please go over to Apple podcasts, hit the subscribe button on shine or go to your favorite podcast platform carrier. That way you don't miss one episode. Thank you. This season is going to be focused on what leadership skills are most needed to create a healthy organizational culture. Leadership and manager effectiveness has been deemed the number one priority for HR in 23. And every person listening, whether you have a formal leadership title, or not, you are a leader. We all have the responsibility to lead around something that we care about whether it's at home with our family, and our communities, and or in the workplace. I believe in you. And I am so delighted to share with you such an incredible group of people and interviews that I have gathered for this season. I handpick every single guest based on their embodiment of conscious, inclusive leadership and the positive impact they're making. I am delighted you are here. And onto the podcast. Currently, I'm really excited to be interviewing you today. I think it's fabulous for the podcaster to be the podcast it and and I know I suggested the idea that I that I interview you for your beautiful podcast, largely because I believe in you and I'm excited about you and your future and, and so much of what you do and what you're talking about is resonates tremendously with what we do at Athena and what I'm all about. So I'm just by way of introduction, I'm the I'm the founder and CEO of Athena Alliance, which is an amazing community of over 1200 senior women leaders who are building a portfolio of impact, who are lifelong learners who are invested in learning agility, who are building the next paradigm for what it means to be a leader. So so many of the things that we're doing resonate with what you do. Thank you. And I'm delighted to be a member of Athena, and so touched by your sponsorship and your own leadership. Well, let's get started. So Carley, maybe you can tell us a little bit about who you are. Thank you. So I wear many different roles and identities like many people, but I'll start with I'm a daughter, proud, auntie, a sister, climate leader, a book mama. And I'm also a founder of a leadership and development consultancy. And I started this business which is more important for the conversation we'll have today. So I'll speak a little bit more about it, leading from wholeness. I began in 2010. And I have worked not only as the founder, but then the director of learning leadership and organizational development. And this consultancy empowers people with the skills to create flourishing and human centered organizations that are aligned with a deeper purpose about caring for people and planet. Not I just profit. And in the last decades and starting this business, I have had the great privilege to exclusively partner with internal senior stakeholders. Top companies like LinkedIn, Capital One Asana, think to the west. I've been an adjunct instructor at Stanford for over nine years. I've also served adventhealth, Pixar, Clif Bar Genentech, and so many other incredible leaders and companies, on the cutting edge of everything, I mean, these are truly transformative companies too. And here you are in the middle of transformation. Currently, you have worked with so many incredible companies over the 12 years that you've been building up your practice and your confidence and what you bring to this world of learning and development and evolution of senior leadership. Why? Why take that and move it into one company? Now? What? Why not keep experiencing all of these different companies? Thank you so much for the question. One of the things that I've been really noticing about my, my journey, as a, as a founder and CEO of my consultancy is I have really thrived when I've been able to exclusively partner with one senior leadership team and one company. And for example, I worked in an exclusive partnership with Bank of the West for three and a half years. And the impact that I was able to make across the 9000 person company from the leaders to, you know, individual contributors was incredible. I mean, I know that I impacted 3500 people that I got to meet, you know, and had some real experience and learning and leadership with them. And that's where I felt the best. And I have been really excited for this opportunity to create even more impact, because there are certain roadblocks that you have when you're external. And I knew after that experience that I wanted to be internal. And the other pieces that I have noticed about my personality that I'm much more of a chief people person, you know, supporting the senior leadership team, the greater strategy, the business objectives, but also really making sure that the culture is thriving. And that's being part of the team versus kind of being outside of the team and influencing the team. And I think that my experience and learning and team and leadership development could translate into a director or above role. I also think once I'm inside, I would likely want to explore moving into a chief people officer or chief learning officer role. I also feel that my skill sets could translate into being a chief of staff working alongside either the CEO, the chief people officer, or the chief learning officer helping with strategy, supporting the executive leadership team, executive summits, you know, putting my coaching hat on to help with collaboration. So that's, that's the reason and that's what I'm really excited about in this next professional step. I love that. What do you love about your work? Well, I, I love learning. And I'm always learning in this role. I've worn every single, you know, hat I can imagine around learning and leadership development. But the other thing that I've learned about myself is that I'm I'm really here for transformation. And so I love being able to inspire and ignite the potential in people, teams and culture that really supports the greatest and highest good. And so just to give a quick example, I am working in the hat of a team coach right now for a really wonderful senior leadership team. And they are in the forming so the beginning stages of a team. And like most teams, even though they've they've been working as a team for the last several months. They just jumped right into the deliverables, the business objectives, but they didn't really create the foundation for team effectiveness for you know, what are agreements for communication, how are we going to navigate conflict Are we even creating a Are we even creating a space where we feel safe to speak up to challenge one another. And so, trust was really low, and accountability was really low. And their collective well being was really low, because they're not being very effective with their time. And they haven't set up these really core foundations. But at the end of our very first session, the trust was there, you know, they were creating agreements for psychological safety, and they were starting to get really clear on how they could team best with one another. And so just within 90 minutes, I was able to see them shine, I was able to see the transformation and that is what just makes me feel alive. And and I know that I'm doing the right work. I resonate with that so much. I have been in that leadership team. I have led that team, you know, so I, I get exactly what you're talking about. And it is, all the early days a bit lost in translation, not understanding how one part one person interprets versus another, and even probably more challenging and difficult when it's when we're less likely to be in person to have any unstructured time together. Mm hmm. Yeah, the navigation of distributed remote teams is is a whole other challenge that leaders, I don't think have really been trained in how to navigate. Okay, use that word twice. But there it is. Yeah, what? It's a good one, what can you bring to a leadership role? And what problems can you solve? My expertise lies in the strategy, human centered design, the direction and facilitation of employee engagement, you know, delivering dei initiatives, team and leadership development programs that really are aligned with the business objectives, but also in supporting a healthy organizational culture. And I have several years of experience designing, building, delivering scaled programs, including in person experiences, virtual learning, incorporating the diagnostics, and the metrics so that we know what outcomes are actually happening as a result of these programs. It also includes executive coaching, group coaching, community building, and then also, you know, partnering with internal stakeholders, and potentially even outside vendors to really support the overall learning and leadership development. I've also directed and managed a team of learning professionals, which might include facilitators, you know, more junior coaches, project managers, instructional designers, I love facilitation, I have over 10,000 hours of facilitating, it's just been one of the gifts I was given when I, you know, got here on this planet, and I love facilitating different courses and team development sessions, and also supporting other facilitators to really step into their strengths as facilitators. And I have also really enjoyed developing and leading efforts to help the company Hone, what kind of culture do we want to build here? And what are the values of the company that we can actually bring into leadership capabilities, so that the people that are leading are actually exemplifying those values and that culture and what they say and what they do, that's really important to me. I also feel like what I can bring to a role is to, you know, be able to share some of the metrics that we're seeing, you know, analyzing participant feedback, program evaluations, looking at the data to identify gaps and make recommendations for program enhancements. I have been a lead consultant for three different NIH funded clinical trials. And so I'm a bit of a leadership nerd, but all So a data nerd. And I just think it's always important to be looking at the baseline of where you are, and then measuring over time, qualitatively and quantitatively, what impact these programs these initiatives are actually having. And not just, you know, saying, Oh, we just we just gave a psychological safety keynote. But how is that actually impacting people? How is that creating a sustainable part of the culture where, where people actually feel like they're equipped to have conversations that have a foundation of psychological safety, I think the other thing that I bring is I am a connector, I love people. And so it's been actually really easy for me to connect with C suite leaders, senior stakeholders, I'm always invited in by those people to help solve people problems. And I think influencing those leaders to do what's best for people in the company is something that comes naturally to me, and I've had a lot of success that that was a bit of a mouthful, but I've been doing this work for a long time. But that's what I feel confident I can bring. Yeah, and clearly engendering a lot of trust, in part because it's illustrated in how you're talking to me now. You're just such a very thoughtful person in all of these things that you've endeavored to do. And you take it extremely seriously. Tell me about it. Tell me about the most successful or I don't know one of the most successful l&d programs that that you've run that you're really excited and proud about. Wonderful. Well, this was a program that I delivered last year, and it's one of the many, but this one had just some incredible impact. And I was invited to develop a conscious leadership program based off my book, which has a wonderful framework on how to be a conscious, inclusive leader. And my sponsor at Capital One for this program, had met me during my book launch in 2001, and really loved my book. And then we developed this great relationship. And so this particular program was a pilot. I'm a big fan of piloting, we want to pilot to make sure that we see success. And then from there, we can refine, and reiterate and scale. But this was brought to 40 directors and senior directors amidst a really big reorg. So this, in many ways, was the first time that these directors and senior directors were working together. And they were across three different business functions. So tech, product and design, the task of this particular development program was to one kick off the program in a way that senior stakeholders were invested to really make sure that I was coordinating with the, you know, internal Chief of Staff's the program managers, and the communications team so that there was an efficient delivery of the information and also the right leaders were being picked for this program. There was also, you know, different metrics and team assessments and individual assessments. So all of those things needed to go out at the beginning, and to really, again, align with those internal folks to make sure that this program was really seamless. And then the program itself actually was delivered to cohorts of 13 to 14, I find that intimacy in groups is really what creates more impact and lasting change. So you know, less is more. And this these cohorts of leaders were high potentials. And they, they were sponsored for the program, but they were also being given the opportunity, you know, to opt out if, it didn't work for them at that time. I think it's really important that people feel like they can say no, even if their company is investing in their learning and leadership. And so essentially what the program look like it was over six months, it included bi weekly group facilitation, coaching, asynchronous learning, with videos, audios, pure exercises, and then there were 12 different modules that included knowledge, practice feedback, or flexion. And this is all to support integration and habit formation. And the results of the program were really astounding, I was taking, you know, again, baseline, and then we had a mid assessment. And then we had the assessment at the very end to see what the impact was. All participants increased four out of nine important leadership competencies, which is incredible, because they were only asked to invest in one to two. And each person kind of knew their ranking on where they were high and where they were low in these nine leadership competencies that I've done a lot of research around to know that these are the skills that actually support leaders to be conscious, inclusive leaders and therefore create high performing teams trust, psychological safety, all these wonderful things that we all need and want. At the end of the program, there was a 47% increase in psychological safety, there was a 25% increase in effective decision making, there was a 74% increase in empathy, which is huge, because that's something that most of us need more support in, there was a 59% increase in self awareness and resilience, there was a 20 to 30% increase in employee engagement. And then at the end of the program, we were able to see 20 to 30% increase in career mobility. So that is a program I feel really proud of. That's amazing. Tell us if so I think I missed the part. But tell us what are the skills and competencies you mentioned? There are nine, what are the skills and competencies leaders need to succeed at the intersection of people culture and strategy? Well, the the nine that I've researched, and I wrote about in my book shine, are really focusing on what we are cultivating on the inside, because what we're cultivating on the inside shows up on the outside. In other words, the inner game rules, the outer games. And not only what I found in this program, but what I feel is really relevant for what leaders need now is I'll just kind of quickly go into the nine but then I'll bring in some of the research and what I what I think companies could really benefit from investing in right now. And so self awareness is key self management, empathy, resilience, which is having that growth mindset. I'm a big believer in well, being psychological and physical well being are two of those nine conscious leadership capabilities, humility, self belonging, and some folks might not know what that means. But self belonging was four different aspects of belonging to the self, which is self forgiveness, self love, self acceptance, self compassion, because if we're not able to give those to ourselves, and we can't give it to others, and then we tend to be more reactive, impatient, you know, aggressive leaders versus conscious and inclusive. And then lastly, mindfulness, which really allows us to pay attention to the present moment. And that supports us in having effective decisions and looking at the consequences of our actions, not for the short term, but the long game. And so those those are the nine. Let's see incredible. What are the skills and competencies that you feel leaders need now to succeed at the intersection of people culture and strategy? This is such a great question. One of my favorite things to speak about. So before I answer in full, I'm just gonna share a little bit of research on some of the trends that I've been looking at in learning in HR. So the first one is that the number one priority for HR in 2023 is manager and leadership effectiveness. But as we know, this won't be solved in 2023, especially that we're in September of 2023. Because it's a really hard nut to crack. And I believe that it's going to be a long game solution. And additionally, LinkedIn found research that 94% of employees say that they would invest and stay at a company longer if it was prioritizing learning and leadership development. So I need both of those because I think what is so important and vital is that LMD has sometimes been kind of a niche business unit, you know, sometimes lumped in with HR sometimes standing on its own, but I believe that all companies from now until At the end of need to prioritize, and really commit to investing in learning and leadership development, so that businesses are able to succeed in creating healthy organizations. And the reason for that is that we are living in a time of increasing complexity and disruption, and the skills and aspects of leadership from the past, they really don't align with the future of work or more human centered workplace. You know, the command and control authority or authoritarian leader is not going to support what young workers want. And it's not going to support this more compassionate, empathetic workplace, that so many Chief People officers are speaking to. I mean, I've heard everywhere from, you know, the Chief People Officer pay Powell to the Chief People Officer at Microsoft to Satya Nadella at Microsoft empathy is one of the number one people skills that we need. So therefore, we have to develop a different set of skills. And the other thing that's really important for companies to succeed in culture is that young people really want to work for a company that has purpose, in other words, where the company, and the outcome that they're making in the world is about healing, not about harming. So when we even look at a company like Patagonia, where, you know, earlier this year, the CEO said, we're giving away you know, every profit that Patagonia makes, is going to plan it now, that is showcasing a really strong consciousness at the leadership level. And I don't expect that all companies will be able to follow in those footsteps, but it is definitely a North Star. So the other thing that I would say, to answer that question of, you know, what are what are the skills needed? Well, the leaders are the custodian of culture. So again, going back to what we're cultivating on the inside is showing up on the outside. So people are going to follow the leaders example. And therefore we need to prioritize the focus of inner development of people leaders. And I would say across the board, you know, even individual contributors need to learn a basic foundation of self awareness, self management, social awareness, relationship skill, so that they can listen, they can empathize with one another, they can collaborate, they can communicate. So I would say to create a really thriving culture, we need to invest in the leaders, but we also need to give a basic level of people skills to the whole company, and that's going to support a thriving culture. Managers need to have, I think, a basics in coaching foundations, you know, working as an executive and team coach, I just think it's so vital that people know and have positive experiences, having difficult conversations, you know, having healthy conflict conflict is going to happen, can we create healthy conflict is the question, hold people accountable compassionately. And lastly, instill psychological safety in their one on ones in their team culture. And if the senior leadership and manager is not able to do these basic aspects of leading, then I don't believe that the deliverables of the business are going to be solved. And at the end of the day, the organization is not going to be healthy. One of the very first things that I often will assess for is the presence or the absence of psychological safety. And if that isn't there, which in most teams and greater organizations, there are some ranges of where it's present and where it's not. It's really hard to implement change. And it's really hard to innovate. And so I'll just kind of leave it at that early, you clearly have so much to offer and have been a deep student of your space. Nothing superficial here at all in your 12 years. Um, outside of organizations while being inside, I think is been a tremendous value to your ability to Research to not just develop your platform and your ideas and not just ideas, but your confidence in, in, in what you know, comes from insights that you have developed through working with many, many, many different teams as opposed to one or two over those years, it's clear that you will bring a ton to the internal role you're looking for. In wrapping this all up, how, how do we learn more about you? Well, you can reach out to me on LinkedIn, I'm always open to new conversations, opportunities, if anybody, you know, would love to talk to me about a role that they're hiring for, or they're thinking of hiring for I would love to create some time, before we come to an end of this podcast episode, wanted to ratchet the energy down and in with an awareness practice that will serve you to be the best person that you can be. Every podcast episode, I like to bring in practices that we can utilize right away in our life. And only you have control over your response, your behaviors, and how you show up with yourself, then, is transmitted to every other person that you encounter in your life. As you heard, in my conversation with cocoa, I spoke about nine different inner game leadership skills. And they start with each of us. And this framework was developed because of my own deep practice. In these leadership competencies, I started a meditation practice when I was 19. And I spent 13 years with two to three weeks of silence a year. And at the end of last year on my sabbatical, I spent a month in silence. And I share this with you because it is called a practice because it's a constant practice. And I can't stop practicing and expect to continue to be the kind of person that I want to be unless I'm committed to the refining, the learning the growing the healing, because as the world becomes complex, and things keep changing, we need these practices even more. So this particular practice, is one that's going to take about six or seven minutes. So if you can't listen to it right now, go ahead and speed up to the end so that you don't miss out on the special resources that I leave at the end. And you can always come back to this later. And if you have time to even just get a sneak peek, you can continue to listen. This is a cleansing practice for the mind and heart. It is a practice for reconciliation, healing and forgiveness. And just to share some of the research behind it. I've been part of several NIH funded clinical trials at UCSF Osher Center for Integrative Medicine. If we want to really create a workplace where there can be healing and care and belonging, then it starts right here. Begin by taking a slow breath through your nose and a slow exhale out. Let's do that a couple times together. Breathing in, breathing out. Breathing in. Breathing out. Do any movement to help you come more and more into your body. And bring your attention to your heart. As you breathe in. Feel the heart opening as you breathe out. Feel the heart healing. Breathing in opening, breathing out healing breathing in opening Breathing out, healing, breathing in, opening, breathing out healing bring to mind any instance that occurred in the last few hours or day in which you were hard on yourself. You were critical. You were unkind to yourself and words and actions and self care. You might not have honored a boundary, you might have not honored your truth. This is a practice I am inspired to share based on Ho oponopono which is a very old indigenous practice that has been practiced for a long time and the Hawaiian Islands. And it begins like this. saying this to yourself. I am sorry. I forgive myself. Thank you. I love you. I am sorry. Please forgive me. Thank you. I love you. I am sorry. I forgive myself. Thank you. I love you. I am sorry. Please forgive me. Thank you. I love you. Just notice what's arising in the heart in the body. Now bring this practice to someone in your life that you are having challenge or friction with. I am sorry. Please forgive me. Thank you. I love you. I am sorry. Please forgive me. Thank you. I love you. I am sorry. Please forgive me. Thank you. I love you. Breathing in opening, breathing out, healing, breathing in opening, breathing out. Healing. Now let's bring our practice to Mother Earth. Sweet Mother Earth and all aspects of this planet. The mountains, water, soil, all the beings who inhabit this earth, the plants aquatic life, land life, every aspect of the earth that you have found refuge in enjoyment, sustenance, shelter, place one hand on your heart and up to the sky. And say I am sorry. Please forgive me. Thank you. I love you. I am sorry. Please forgive me. Thank you. I love you. I am sorry. Please forgive me. Thank you. I love you. Long, deep inhale and exhale. letting that go. And lastly, bringing your hands to a part of your body that would benefit from healing touch the back of the neck, the forehead, the cheek, the belly, the heart, anywhere. Breathing in opening, breathing out healing and say these words silently to yourself. This is bringing in a sense of self belonging. I forgive myself I care for my challenges. I love and accept myself as I am. I forgive myself, I care for my challenges. I love and accept myself as I am. I forgive myself, I care for my challenges. I love and accept myself just as I am. And as we come to a close, reminding yourself that you are strong, and courageous, and resilient, and mind, body and spirit. You are strong, courageous, resilient, and mind, body and spirit. And by you prioritizing and committing to your inner growth, you will have such a tremendous positive impact on everyone in your life and the world. Be the light, and shine. And the other thing that I'm feeling very excited about is that some of what we talked about today, what are the skills needed now, to really have people succeed in culture and strategy and leadership is an upcoming workshop and salon that I'm having with you Coco at Athena, and it is called Becoming a conscious leader the skills you need to create a healthy organization in 2024. And we will be offering this for for free to Athena members, but I'll also create a link in the show notes with the discount code shine and capital letters, so that you can attend if you're available on September 28. From noon to one Pacific Standard Time. We'd love to have you join us. Well, thank you for letting me sort of be the host of your podcasts so that I could interview you for one of your episodes. This was so much fun. Thank you so much Coco, I am delighted to have your sisterhood and your support today. Wow, that was such a treat to be interviewed by Coco Brown. A leader I respect admire so much. Coco is going to be a future guest this season. And I am so excited to share that interview with you. Plus, Don't you just love her name. I haven't told this to Coco, but she's gonna hear it now. I feel like she has this inner rock star diva that is just waiting to come out. I can't wait for that. Listening is one part of learning. But then we need to create practices to instill what we hear into powerful action. So on that note, do you want to grow your inner game so that you can be a conscious leader at work life and in the world? Here are three ways all the links will be in the show notes. One use this podcast. It is a wealth of learning and development and in fact for a lot of the learning and leadership development programs I have offered. I actually resource this podcast as part of the learning the asynchronous learning. So there are some incredible leaders and all you have to do is go back to our previous episodes. Go get my book shine. It has been voted one of the best books the top 10 In fact by mindful magazine that you should read in 2022 it is in hard copy and audiobook and it's my voice so if you are resonating with my voice now you might love the audiobook and I would love to hear your reaction of the book. I have not received one bad review and I am grateful. Come for a deeper dive with me and cocoa on September two 28 with our salon that we are offering on becoming a conscious leader. This is through the Athena Alliance membership, but you are going to get a free admission. If you put in the discount code shine in all caps. You can join us on September 28, noon to one Pacific Standard Time and get a sneak peek of what Athena is about and actually meet some of the other incredible powerhouse women that are part of this network. And then a personal ask for me. As you heard, I am so excited and ready to step into a director above level internal role bringing my gifts and passion for culture, and for leadership. I'm currently interviewing with some great companies. And as you know, it's all about the network. If you know of someone I should meet, please connect us with us short intro or reach out to me on LinkedIn. If you are aware of opportunities that you think would be a great fit, please send them my way and reach out on LinkedIn. And if I can support you in any of your leadership challenges, please reach out. I love to help people with resources, connections, and deep listening. If you have any questions, comments or topics that you would like me to address, please email me at support at Carly help.com I would love to hear from you. And if you enjoyed this episode, please share it with friends, family or colleagues. We're all in this together and sharing is caring. Thank you for tuning in being part of this community. And until we meet again, my friend, be the light and shine your light
Hello and welcome to Bill vs the MCU! Each month your hosts Pop Break Podcasts Editor Alex Marcus and Pop Break Editor in Chief Bill Bodkin take another step into the wider Marvel Multiverse, with reviews and interviews on the film and television series that may be drawn upon as the MCU dives deeper and deeper into its Multiverse Saga. In this episode, we will be giving a brief rundown of some of the pivotal events from Agents of SHIELD S3 before jumping into an in depth discussion of S4E1-8, aka the Ghost Rider arc, where Daisy, Coulson, and the gang become acquainted with the Spirit of Vengeance, currently inhabiting host Robbie Reyes, as they battle science ghosts. To help us become better acquainted with the classic Marvel Comics character of Ghost Rider, we are excited to welcome onto the pod the host of the Superhero Cinephiles podcast and a lifelong Ghost Rider fan, Perry Constantine. We also breakdown all the Disney Plus Marvel TV release calendar news in this month's Miss Minutes Marvel Memo, where he and Bill try to cram in a month's of MCU headlines in five minutes! Don't forget to come back next month when they'll be reviewing Agents of SHIELD S4E09-16, aka LMD! Agents of SHIELD S1-7 are available to stream on Disney+.
Hello and welcome to Bill vs the MCU! Each month your hosts Pop Break Podcasts Editor Alex Marcus and Pop Break Editor in Chief Bill Bodkin take another step into the wider Marvel Multiverse, with reviews and interviews on the film and television series that may be drawn upon as the MCU dives deeper and deeper into its Multiverse Saga. In this episode, we will be giving a brief rundown of some of the pivotal events from Agents of SHIELD S3 before jumping into an in depth discussion of S4E1-8, aka the Ghost Rider arc, where Daisy, Coulson, and the gang become acquainted with the Spirit of Vengeance, currently inhabiting host Robbie Reyes, as they battle science ghosts. To help us become better acquainted with the classic Marvel Comics character of Ghost Rider, we are excited to welcome onto the pod the host of the Superhero Cinephiles podcast and a lifelong Ghost Rider fan, Perry Constantine. We also breakdown all the Disney Plus Marvel TV release calendar news in this month's Miss Minutes Marvel Memo, where he and Bill try to cram in a month's of MCU headlines in five minutes! Don't forget to come back next month when they'll be reviewing Agents of SHIELD S4E09-16, aka LMD! Agents of SHIELD S1-7 are available to stream on Disney+. --- Send in a voice message: https://podcasters.spotify.com/pod/show/popbreaktv/message
Shelly Lares retires, after 40 long years of singing/songwriting, recording and touring as Shelly puts it "I'm not on the road as an artist anymore." She accomplished a longtime goal as the Tejano ROOTS Hall of Famer signs the first artists to her Shellshock Records 3 label. First up from Conroe Texas 12-year-old singing sensation Allie with her catchy single "Mi Fascinacion," then all the way from Pico Rivera, California singer-songwriter El Gallo Dez with his debut single "Rogando por Tu Amor" becoming the first artist on the roster for the San Antonio-based record label. Shellshock Records 3 go Behind the Mic with Shelly Lares, Allie and El Gallo Dez.
“When a good, strong interpersonal relationship happens, a very good team begins to build and when very good teams begin to build, very good productivity comes up.”Today's episode of The Shape of Work podcast features Ananth Raghunath Veluturi, Learning and Development Lead at NTT Ltd. He has an overall work experience of fifteen years. He did his Masters in Arts from Indira Gandhi National Open University. He also went to the Indian Institute of Planning and Management. He has worked at various organisations including Pennar PEBS, Ybrant Digital, Prolifics, etc.In this episode, Ananth talks about the LMD strategy, the challenges of leadership, e-learning and its merits.Episode HighlightsThe challenges in leadershipThe design of the LMD strategyE-learning vs traditional learningCommunication Strategies for dealing with difficult situationsFollow Ananth on LinkedinProduced by: Priya BhattPodcast Host: Aparajeeta BoroAbout Springworks:Springworks is a fully-distributed HR technology organisation building tools and products to simplify recruitment, onboarding, employee engagement, and retention. The product stack from Springworks includes:SpringVerify— B2B verification platformEngageWith— employee recognition and rewards platform that enriches company cultureTrivia — a suite of real-time, fun, and interactive games platforms for remote/hybrid team-buildingSpringRole — verified professional-profile platform backed by blockchain, andSpringRecruit — a forever-free applicant tracking system.Springworks prides itself on being an organisation focused on employee well-being and workplace culture, leading to a 4.8 rating on Glassdoor for the 200+ employee strength company.
Everything about M.E.D.'s demeanor says he's just one of the homies. Despite sharing track space with bonafide rap legends he comes across chill and down to earth. On this weeks episode of the Dad Bod Rap Pod hosts Demone Carter, David Ma, and Nate LeBlanc talk to M.E.D. about working with hip hop royalty like Madlib and MF Doom as well as his new collaborative project LMD with LMNO and Declaime. During the intro segment Demone and Dave talk about the winds of controversy surrounding Madlib, Egon, and MF DOOM's rhyme book. They also ponder dream Madlib collaborations we have yet to hear. Dad Bod Rap Pod is a proud member of the Stony Island Audio network. Shout out Stony Island Minister of Rhyme Open Mike Eagle. If you rock with the podcast please like, rate, and subscribe on your platform of choice. If you really want to do us (and yourself) a solid please consider subscribing to our Patreon account patreon.com/dadbodrappod.
ATTENTION ATTENTION ATTENTION!!! Quantum Leap returns for another HEAVY broadcast. This week they are joined by the legendary Diamond D. Founding member of D.I.T.C., the root of some of todays biggest acts in hip-hop (whether you like them or not) and one of the ambassadors of "boom bap." The QUANTUM LEAP crew dig in and find out the moment that made Diamond D. speechless. New music from LMD, Eleven & Jason D and more... Click play and take the leap!!!Follow us NOW on Spotify, iHeartRadio, Apple Podcasts, Google Podcasts, Spreaker, and more...!!You like what hear..? Drop us a donation on @kpft.org (Tip Jar)QUANTUM LEAP RADIO broadcasting and streaming live from #HUEston T.X.Every Saturday from 9-11a.m. CST (KPFT 90.1FM Houston in HD2)Worldwide@kpft.org/listenortunein app
The Hip-Hop Digest Weekly Pick Hits 01.The Apologist & Absolute – The Tragedy of Phanatik02.Sol Messiah – Roc Steady (feat. Sa-Roc)03.Ransom – Overnight Success04.LMD – Flying High05.Cash Money & Marvelous – Play It Cool Albums of the Week Cognac Kingz … Continue reading →
In this amazig episode w/Idris we disscuss many subjects arround the Algerian university, and how future students shape their academic and professional plans. We take an overview about the Classical system vs LMD system and we share our ideas and experiences with you ! Listen Enjoy & SHARE !
New Park Rangers, Short Term Rentals, and Code Enforcement updates were covered during Tuesday night's Redding City Council Meeting. Community Service Director Kim Niemer gives a quick recap on the topics covered, but we recommend you watch the full video for all the details.New affordable housing coming soon - find out where!Tesla chargers will be installed by the Sundial BridgeJuly is Parks and Recreation Month!Four new Police Officers will be hired soon as Park Rangers to monitor local area open spacesWhat are Landscape Maintenance Districts? Every year, maintenance and utility costs are reviewed and adopted by the City Council for property tax assessment for Landscape Maintenance Districts. Listen to learn more and Find out more about LMD's here>>A status report and broad overview of Short Term Rentals was presented by City of Redding Planning Department. Regulation enforcement and the number of approved permits, among other items, were covered as part of the presentation. A Code Enforcement report presenting a few recent cases and the role Code Enforcement plays in neighborhood preservation and public health and safety.Council Meeting Agenda>>Check out the video here>>Episode transcript >>>
It's anger the air but the Quantum Leap crew is playing referee this weekend. Celebrating one great's birthday and another great may or may not be retiring. This might come as a surprise but Funkmaster Flex is in another beef with the new school and old school of hip-hop. New music from LMD, D.J. Premier, David Banner and more... Click play and take the leap!!!Follow us NOW on Spotify, iHeartRadio, Apple Podcasts, Google Podcasts, Spreaker, and more...!!You like what hear..? Drop us a donation on @kpft.org (Tip Jar)QUANTUM LEAP RADIO broadcasting and streaming live from #HUEston T.X.Every Saturday from 9-11a.m. CST (KPFT 90.1FM Houston in HD2)Worldwide@kpft.org/listenortunein app
La irrupción de La Morra Lisa en la escena LGBT+ mexicana significó una bocanada de aire fresco para el drag de nuestro país. El personaje destacó de inmediato no sólo por su particular estética, sino también por ser una compleja propuesta artística y su inteligente tono reflexivo. La Morra visitó #Jotilandia para hablar de su formación cinematográfica, su pasado godín, su Premio Estatal de la Juventud, su participación en #LMD, el binarismo y su futuro como persona y creador.
Stella finally admits her feelings… (but for who I shall not tell you
Ebuka and Raheem figure out their differences and as usual, Raheem gives Ebuka the dose of reality he needs
In this episode, Ebuka the cheater begins plotting a plan to get his ‘woman'
In today's episode, Daniel and Stella finally speak about her standing him up (Wahala o
In this episode, the guys sit down with Kenny and Jenn from Luca Mariano Bourbon. We talk about the brans origins, whats next, Connor making an Only Fans for his toe thumbs and as always we dive into some good whiskey. Here is a little more about the brand. Francesco (owner and founder) began distilling as a hobby in his garage in 2010. He hadn't planned on it becoming a business. After having a neighbor over to enjoy what he had created, his neighbor told him that it was illegal to distill liquor in his garage. After discovering that his hobby was illegal, Francesco called his lawyer to help him obtain a license to distill liquor, so he could carry out his grandfather's dream.Francesco's grandfather was a man named Mariano Viola. His dream was for his family to build a business and create a legacy in the United States. Mariano taught Francesco many skills including gardening, making pasta and wine, and distilling brandy and whiskey. In honor of his grandfather, Francesco created recipes for Kentucky Straight Bourbon Whiskey that are the foundation of Luca Mariano Distillery. The company is named after Francesco's son, Luca Mariano, who is named after Francesco's grandfather.In 2016, LMD began prospecting for land to house its future distillery while waiting for the bourbon and rye whiskey to come of age. Francesco's long-term vision is to create a distillery location that is like no other distillery. He envisions a place for family and friends to come and enjoy great music, food, and whiskey. The same way his family does it in Italy.With the long-term goal in mind, in 2017, LMD found a 300 acre farm in Danville, Kentucky that would give plenty of space for what Francesco envisions. The farm includes a stone house that was built by a man named William Crow, which is the oldest stone house in the State of Kentucky. Although the stone house was left abandoned and in disrepair, LMD plans to restore the house to its original condition. Additional plans for the project include the following: construction of a fully-functioning distillery; a visitor's center; multiple rick houses for barrel aging; and, an entertainment pavilion.Follow Luca Mariano on Instagram. @lucamarianodistilleryYou can also find out more about their brand at www.lucamariano.com
If you had to have an electric appliance at home fight Agent May to save your life (assuming you don't have an LMD or a Chronic at home to do so), what would you pick and why? Today's scene can be found at: Agents of Shield 7.02 [start at 26:48 and end at 27:25] You can find us on Twitter @timelinescav! And individually you can find your hosts at @unabashedJames and @ColinMParker. BIG thank you for the intro and outro music from @NBramald! Check out his website at https://www.nickbramaldcomposer.co.uk. If you need music for any occasion, he's your man. Check out other great shows on The Scavengers Network at https://www.scavengersnetwork.com!
►The Truth About Bitcoin Adoption in Africa; We sit down with fellow pleb Fode and discuss the truth about bitcoin adoption in Africa. We dive into some wins as well as hurdles and public perception. ► Fail: NFT makers can't sink lower… or can they? We also explore Eth's POS GHOST and LMD attack vectors. There is a reason bitcoins base layer is about simplicity. ✔ Get your Bitcoin 2022 Conference Tickets for 10% OFF ► Use Promo Code: SIMPLYBITCOIN ► http://tixr.com/pr/SIMPLYBITCOIN/26217 ✔ BTC Stats ►https://t.co/IQ0t4BF49g?ssr=true ✔Software Releases: nix bitcoin v0.0.66: https://github.com/fort-nix/nix-bitcoin/releases/tag/v0.0.66 ✔ Check out our Sponsors, support Bitcoin ONLY Businesses: ✔ Crypto Cloaks:►http://www.cryptocloaks.com?afmc=2h&utm_campaign=2h&utm_source=leaddyno&utm_medium=affiliate ✔ Citadel21: ► https://www.citadel21.com ✔ Amber App: ► https://amber.app ✔ CypherSafe:► https://cyphersafe.io ✔ Represent Clothing: ► https://www.representltd.com/ USE PROMO CODE SIMPLY-BITCOIN FOR 10% OFF ANYTHING IN THE STORE! ✔ Join our Telegram, Give us Memes to Review! ► https://t.me/TheSimplyBitcoinChannel ✔ Follow Us! ► https://twitter.com/SimplyBitcoinTV ► https://twitter.com/BITVOLT7 ► https://twitter.com/Coinicarus ✔ Special Thanks to these Awesome Bitcoiners: ► https://bitcoin.clarkmoody.com/dashboard/ ► https://t.me/nobullshitbitcoin ► https://twitter.com/DocumentingBTC ✔ Descriptions & Thumbnails by, Meg: ► https://twitter.com/btcmeg ► We are a proud supporter of Bitcoin only businesses. DISCLAIMER: All views in this episode are our own and DO NOT reflect the views of any of our guests or sponsors. Timecodes: 0:00 - Intro 0:30 - BTC Stats 12:26 - Daily Fail 29:42 - Meme Review 34:31 - BTC News 57:50 - Software Release #Bitcoin #BitcoinDailyNews #BitcoinDailyRecap
¡Genial! ¡Episodio doble! En el primero Iris XC llega a La Nodriza cargada de poderío norteño para contarnos de su paso por LMD. En el segundo vamos de vuelta a Mérida, Yucatán, para conocer más de Alejandra “Tigre” Jiménez: una boxeadora implacable y amiga de la tierna juventud de de Ana Julia. Risas y chanclas al agua garantizadas.
We all grieve - many of us know Death more intimately than others yet Death is very much a part of being Alive. Mix in Love and thus grief is born. Sharing the memories of our loved ones and your own experiences walking through that grief with others allows you to connect at a very human level. There are various ways to connect with others, but the way I really enjoy is face to face where you see & feel the exchange of emotions.November 18th, 2021 is Children's Grief Awareness day - Please share this link with someone whose child is grieving the loss of a loved one.Other useful links:Compassionate FriendsFriends of Karen - very near and dear to our hearts ❤️Please take a moment to like, follow or subscribe plus also leave a review. Your feedback is the World to us.Sign up at BrookesLight.org for more information Stay safe & Love and LightCreative Commons Music by Jason Shaw on Audionautix.com
Coulson flexes his LMD privilege to explain away why his joke doesn't land. Also: 1931 continues to be not great for non-white folks, and James' math seems a little off. Featuring special guest: Mike Snider! He'll be back for more later, never fear. Today's scene can be found at: Agents of Shield 7.01 [start at 28:06 and end at 29:39] You can find us on Twitter @timelinescav!You can find our guests on Twitter @thegiggas! And individually you can find us @unabashedJames and @ColinMParker. BIG thank you for the intro and outro music from @NBramald! Check out his website at https://www.nickbramaldcomposer.co.uk. If you need music for any occasion, he's your man. Want to know who our next guest is? Well, there's a hint in this episode! Let us know if you figure it out ;)
Welcome to the Like Minded Deviants (LMD) Podcast!In this episode, Jon-Michael, Lindy, and JSF talk through what LMD is, why they are passionate about this project, and what is to come.David P. Gushee & Glenn H. Stassen, Kingdom Ethics: Following Jesus in Contemporary Context. Second Edition, Grand Rapids: Wm. B. Eerdmans Publishing Co., 2016 (ISBN: 978-0-8028-7421-4).Donald A. Hay, Economics Today: A Christian Critique. Vancouver: Regent College Publishing, 2004 (ISBN: 978-157383284).Contact Us!Twitter: @PodLmdFacebook: facebook.com/LMDPodWeb: lmdpod.buzzsprout.comEmail: lmdpod@gmail.com
Todays Podcast guest is Louise Mc Donnell, Owner of LMD cosmetics and salon, businesswoman and Beauty Influencer.Today we talk about how to get organised in business, when to say no, trolls, pregnancy, relationships and general craic about growing up in small towns.You can find Louise on Instagram @louisemcdonnell_ and visit her website HERE.Enjoy!
Michaela is an Irish Make Up Artist, sister of the famous Louise Mc Donnell aka LMD. Michaela moved from County Derry to follow her dreams in the life Down Under. In order for Michaela to continue living in Australia for a second year on a working holiday visa, she must complete 88 days regional work in the outbacks. I will be joining her on her 12th and final week of farm here where she discusses the day to day life, friendships, keeping a relationship while doing farmwork and all the "Love Island drama" that comes with working on a farm with hundreds of people from overseas.Sorry for the sound system this week guys, trying to podcast with people all over the country isn't easy. Hope you still like it.Don't forget to give the podcast a rating and follow the page @acountydownunder
Michaela is an Irish Make Up Artist, sister of the famous Louise Mc Donnell aka LMD. Michaela moved from County Derry to follow her dreams in the life Down Under. In order for Michaela to continue living in Australia for a second year on a working holiday visa, she must complete 88 days regional work in the outbacks. I will be joining her on her 12th and final week of farm here where she discusses the day to day life, friendships, keeping a relationship while doing farmwork and all the "Love Island drama" that comes with working on a farm with hundreds of people from overseas.Sorry for the sound system this week guys, trying to podcast with people all over the country isn't easy. Hope you still like it.Don't forget to give the podcast a rating and follow the page @acountydownunder
Another midseason finale of sorts for Agents of SHIELD with Self Control, and we have a LOT of questions, especially with the vignettes we saw of those who are living their lives in The Framework. A trio of heart-wrenching emotional scenes really had the waterworks going for most of the audience, and the next "pod" is sure to be something completely unexpected, not the least of which is the return of a certain twice-dead character. Join us for show news, commentary and analysis for Self Control, a week off from Faith's CoulSass moments (no sass!), and our listener feedback segment! This week we talk about Aida's reasons for wanting emotions, the regrets that may be determining the shape of The Framework, the great fight scene between Daisy and Mace, the suspicions about who was an LMD and who wasn't, and the possible future for many characters from Ivanov in his new body to Simmons in her possibly dead avatar! Read more... The post SB73 – S4E15 – Self Control appeared first on Golden Spiral Media- Entertainment Podcasts, Technology Podcasts & More.
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