Podcasts about practical approach

From Palantir and Two Sigma to building Goodfire into the poster-child for actionable mechanistic interpretability, Mark Bissell (Member of Technical Staff) and Myra Deng (Head of Product) are trying to turn “peeking inside the model” into a repeatable production workflow by shipping APIs, landing real enterprise deployments, and now scaling the bet with a recent $150M Series B funding round at a $1.25B valuation.In this episode, we go far beyond the usual “SAEs are cool” take. We talk about Goodfire's core bet: that the AI lifecycle is still fundamentally broken because the only reliable control we have is data and we post-train, RLHF, and fine-tune by “slurping supervision through a straw,” hoping the model picks up the right behaviors while quietly absorbing the wrong ones. Goodfire's answer is to build a bi-directional interface between humans and models: read what's happening inside, edit it surgically, and eventually use interpretability during training so customization isn't just brute-force guesswork.Mark and Myra walk through what that looks like when you stop treating interpretability like a lab demo and start treating it like infrastructure: lightweight probes that add near-zero latency, token-level safety filters that can run at inference time, and interpretability workflows that survive messy constraints (multilingual inputs, synthetic→real transfer, regulated domains, no access to sensitive data). We also get a live window into what “frontier-scale interp” means operationally (i.e. steering a trillion-parameter model in real time by targeting internal features) plus why the same tooling generalizes cleanly from language models to genomics, medical imaging, and “pixel-space” world models.We discuss:* Myra + Mark's path: Palantir (health systems, forward-deployed engineering) → Goodfire early team; Two Sigma → Head of Product, translating frontier interpretability research into a platform and real-world deployments* What “interpretability” actually means in practice: not just post-hoc poking, but a broader “science of deep learning” approach across the full AI lifecycle (data curation → post-training → internal representations → model design)* Why post-training is the first big wedge: “surgical edits” for unintended behaviors likereward hacking, sycophancy, noise learned during customization plus the dream of targeted unlearning and bias removal without wrecking capabilities* SAEs vs probes in the real world: why SAE feature spaces sometimes underperform classifiers trained on raw activations for downstream detection tasks (hallucination, harmful intent, PII), and what that implies about “clean concept spaces”* Rakuten in production: deploying interpretability-based token-level PII detection at inference time to prevent routing private data to downstream providers plus the gnarly constraints: no training on real customer PII, synthetic→real transfer, English + Japanese, and tokenization quirks* Why interp can be operationally cheaper than LLM-judge guardrails: probes are lightweight, low-latency, and don't require hosting a second large model in the loop* Real-time steering at frontier scale: a demo of steering Kimi K2 (~1T params) live and finding features via SAE pipelines, auto-labeling via LLMs, and toggling a “Gen-Z slang” feature across multiple layers without breaking tool use* Hallucinations as an internal signal: the case that models have latent uncertainty / “user-pleasing” circuitry you can detect and potentially mitigate more directly than black-box methods* Steering vs prompting: the emerging view that activation steering and in-context learning are more closely connected than people think, including work mapping between the two (even for jailbreak-style behaviors)* Interpretability for science: using the same tooling across domains (genomics, medical imaging, materials) to debug spurious correlations and extract new knowledge up to and including early biomarker discovery work with major partners* World models + “pixel-space” interpretability: why vision/video models make concepts easier to see, how that accelerates the feedback loop, and why robotics/world-model partners are especially interesting design partners* The north star: moving from “data in, weights out” to intentional model design where experts can impart goals and constraints directly, not just via reward signals and brute-force post-training—Goodfire AI* Website: https://goodfire.ai* LinkedIn: https://www.linkedin.com/company/goodfire-ai/* X: https://x.com/GoodfireAIMyra Deng* Website: https://myradeng.com/* LinkedIn: https://www.linkedin.com/in/myra-deng/* X: https://x.com/myra_dengMark Bissell* LinkedIn: https://www.linkedin.com/in/mark-bissell/* X: https://x.com/MarkMBissellFull Video EpisodeTimestamps00:00:00 Introduction00:00:05 Introduction to the Latent Space Podcast and Guests from Goodfire00:00:29 What is Goodfire? Mission and Focus on Interpretability00:01:01 Goodfire's Practical Approach to Interpretability00:01:37 Goodfire's Series B Fundraise Announcement00:02:04 Backgrounds of Mark and Myra from Goodfire00:02:51 Team Structure and Roles at Goodfire00:05:13 What is Interpretability? Definitions and Techniques00:05:30 Understanding Errors00:07:29 Post-training vs. Pre-training Interpretability Applications00:08:51 Using Interpretability to Remove Unwanted Behaviors00:10:09 Grokking, Double Descent, and Generalization in Models00:10:15 404 Not Found Explained00:12:06 Subliminal Learning and Hidden Biases in Models00:14:07 How Goodfire Chooses Research Directions and Projects00:15:00 Troubleshooting Errors00:16:04 Limitations of SAEs and Probes in Interpretability00:18:14 Rakuten Case Study: Production Deployment of Interpretability00:20:45 Conclusion00:21:12 Efficiency Benefits of Interpretability Techniques00:21:26 Live Demo: Real-Time Steering in a Trillion Parameter Model00:25:15 How Steering Features are Identified and Labeled00:26:51 Detecting and Mitigating Hallucinations Using Interpretability00:31:20 Equivalence of Activation Steering and Prompting00:34:06 Comparing Steering with Fine-Tuning and LoRA Techniques00:36:04 Model Design and the Future of Intentional AI Development00:38:09 Getting Started in Mechinterp: Resources, Programs, and Open Problems00:40:51 Industry Applications and the Rise of Mechinterp in Practice00:41:39 Interpretability for Code Models and Real-World Usage00:43:07 Making Steering Useful for More Than Stylistic Edits00:46:17 Applying Interpretability to Healthcare and Scientific Discovery00:49:15 Why Interpretability is Crucial in High-Stakes Domains like Healthcare00:52:03 Call for Design Partners Across Domains00:54:18 Interest in World Models and Visual Interpretability00:57:22 Sci-Fi Inspiration: Ted Chiang and Interpretability01:00:14 Interpretability, Safety, and Alignment Perspectives01:04:27 Weak-to-Strong Generalization and Future Alignment Challenges01:05:38 Final Thoughts and Hiring/Collaboration Opportunities at GoodfireTranscriptShawn Wang [00:00:05]: So welcome to the Latent Space pod. We're back in the studio with our special MechInterp co-host, Vibhu. Welcome. Mochi, Mochi's special co-host. And Mochi, the mechanistic interpretability doggo. We have with us Mark and Myra from Goodfire. Welcome. Thanks for having us on. Maybe we can sort of introduce Goodfire and then introduce you guys. How do you introduce Goodfire today?Myra Deng [00:00:29]: Yeah, it's a great question. So Goodfire, we like to say, is an AI research lab that focuses on using interpretability to understand, learn from, and design AI models. And we really believe that interpretability will unlock the new generation, next frontier of safe and powerful AI models. That's our description right now, and I'm excited to dive more into the work we're doing to make that happen.Shawn Wang [00:00:55]: Yeah. And there's always like the official description. Is there an understatement? Is there an unofficial one that sort of resonates more with a different audience?Mark Bissell [00:01:01]: Well, being an AI research lab that's focused on interpretability, there's obviously a lot of people have a lot that they think about when they think of interpretability. And I think we have a pretty broad definition of what that means and the types of places that can be applied. And in particular, applying it in production scenarios, in high stakes industries, and really taking it sort of from the research world into the real world. Which, you know. It's a new field, so that hasn't been done all that much. And we're excited about actually seeing that sort of put into practice.Shawn Wang [00:01:37]: Yeah, I would say it wasn't too long ago that Anthopic was like still putting out like toy models or superposition and that kind of stuff. And I wouldn't have pegged it to be this far along. When you and I talked at NeurIPS, you were talking a little bit about your production use cases and your customers. And then not to bury the lead, today we're also announcing the fundraise, your Series B. $150 million. $150 million at a 1.25B valuation. Congrats, Unicorn.Mark Bissell [00:02:02]: Thank you. Yeah, no, things move fast.Shawn Wang [00:02:04]: We were talking to you in December and already some big updates since then. Let's dive, I guess, into a bit of your backgrounds as well. Mark, you were at Palantir working on health stuff, which is really interesting because the Goodfire has some interesting like health use cases. I don't know how related they are in practice.Mark Bissell [00:02:22]: Yeah, not super related, but I don't know. It was helpful context to know what it's like. Just to work. Just to work with health systems and generally in that domain. Yeah.Shawn Wang [00:02:32]: And Mara, you were at Two Sigma, which actually I was also at Two Sigma back in the day. Wow, nice.Myra Deng [00:02:37]: Did we overlap at all?Shawn Wang [00:02:38]: No, this is when I was briefly a software engineer before I became a sort of developer relations person. And now you're head of product. What are your sort of respective roles, just to introduce people to like what all gets done in Goodfire?Mark Bissell [00:02:51]: Yeah, prior to Goodfire, I was at Palantir for about three years as a forward deployed engineer, now a hot term. Wasn't always that way. And as a technical lead on the health care team and at Goodfire, I'm a member of the technical staff. And honestly, that I think is about as specific as like as as I could describe myself because I've worked on a range of things. And, you know, it's it's a fun time to be at a team that's still reasonably small. I think when I joined one of the first like ten employees, now we're above 40, but still, it looks like there's always a mix of research and engineering and product and all of the above. That needs to get done. And I think everyone across the team is, you know, pretty, pretty switch hitter in the roles they do. So I think you've seen some of the stuff that I worked on related to image models, which was sort of like a research demo. More recently, I've been working on our scientific discovery team with some of our life sciences partners, but then also building out our core platform for more of like flexing some of the kind of MLE and developer skills as well.Shawn Wang [00:03:53]: Very generalist. And you also had like a very like a founding engineer type role.Myra Deng [00:03:58]: Yeah, yeah.Shawn Wang [00:03:59]: So I also started as I still am a member of technical staff, did a wide range of things from the very beginning, including like finding our office space and all of this, which is we both we both visited when you had that open house thing. It was really nice.Myra Deng [00:04:13]: Thank you. Thank you. Yeah. Plug to come visit our office.Shawn Wang [00:04:15]: It looked like it was like 200 people. It has room for 200 people. But you guys are like 10.Myra Deng [00:04:22]: For a while, it was very empty. But yeah, like like Mark, I spend. A lot of my time as as head of product, I think product is a bit of a weird role these days, but a lot of it is thinking about how do we take our frontier research and really apply it to the most important real world problems and how does that then translate into a platform that's repeatable or a product and working across, you know, the engineering and research teams to make that happen and also communicating to the world? Like, what is interpretability? What is it used for? What is it good for? Why is it so important? All of these things are part of my day-to-day as well.Shawn Wang [00:05:01]: I love like what is things because that's a very crisp like starting point for people like coming to a field. They all do a fun thing. Vibhu, why don't you want to try tackling what is interpretability and then they can correct us.Vibhu Sapra [00:05:13]: Okay, great. So I think like one, just to kick off, it's a very interesting role to be head of product, right? Because you guys, at least as a lab, you're more of an applied interp lab, right? Which is pretty different than just normal interp, like a lot of background research. But yeah. You guys actually ship an API to try these things. You have Ember, you have products around it, which not many do. Okay. What is interp? So basically you're trying to have an understanding of what's going on in model, like in the model, in the internal. So different approaches to do that. You can do probing, SAEs, transcoders, all this stuff. But basically you have an, you have a hypothesis. You have something that you want to learn about what's happening in a model internals. And then you're trying to solve that from there. You can do stuff like you can, you know, you can do activation mapping. You can try to do steering. There's a lot of stuff that you can do, but the key question is, you know, from input to output, we want to have a better understanding of what's happening and, you know, how can we, how can we adjust what's happening on the model internals? How'd I do?Mark Bissell [00:06:12]: That was really good. I think that was great. I think it's also a, it's kind of a minefield of a, if you ask 50 people who quote unquote work in interp, like what is interpretability, you'll probably get 50 different answers. And. Yeah. To some extent also like where, where good fire sits in the space. I think that we're an AI research company above all else. And interpretability is a, is a set of methods that we think are really useful and worth kind of specializing in, in order to accomplish the goals we want to accomplish. But I think we also sort of see some of the goals as even more broader as, as almost like the science of deep learning and just taking a not black box approach to kind of any part of the like AI development life cycle, whether that. That means using interp for like data curation while you're training your model or for understanding what happened during post-training or for the, you know, understanding activations and sort of internal representations, what is in there semantically. And then a lot of sort of exciting updates that were, you know, are sort of also part of the, the fundraise around bringing interpretability to training, which I don't think has been done all that much before. A lot of this stuff is sort of post-talk poking at models as opposed to. To actually using this to intentionally design them.Shawn Wang [00:07:29]: Is this post-training or pre-training or is that not a useful.Myra Deng [00:07:33]: Currently focused on post-training, but there's no reason the techniques wouldn't also work in pre-training.Shawn Wang [00:07:38]: Yeah. It seems like it would be more active, applicable post-training because basically I'm thinking like rollouts or like, you know, having different variations of a model that you can tweak with the, with your steering. Yeah.Myra Deng [00:07:50]: And I think in a lot of the news that you've seen in, in, on like Twitter or whatever, you've seen a lot of unintended. Side effects come out of post-training processes, you know, overly sycophantic models or models that exhibit strange reward hacking behavior. I think these are like extreme examples. There's also, you know, very, uh, mundane, more mundane, like enterprise use cases where, you know, they try to customize or post-train a model to do something and it learns some noise or it doesn't appropriately learn the target task. And a big question that we've always had is like, how do you use your understanding of what the model knows and what it's doing to actually guide the learning process?Shawn Wang [00:08:26]: Yeah, I mean, uh, you know, just to anchor this for people, uh, one of the biggest controversies of last year was 4.0 GlazeGate. I've never heard of GlazeGate. I didn't know that was what it was called. The other one, they called it that on the blog post and I was like, well, how did OpenAI call it? Like officially use that term. And I'm like, that's funny, but like, yeah, I guess it's the pitch that if they had worked a good fire, they wouldn't have avoided it. Like, you know what I'm saying?Myra Deng [00:08:51]: I think so. Yeah. Yeah.Mark Bissell [00:08:53]: I think that's certainly one of the use cases. I think. Yeah. Yeah. I think the reason why post-training is a place where this makes a lot of sense is a lot of what we're talking about is surgical edits. You know, you want to be able to have expert feedback, very surgically change how your model is doing, whether that is, you know, removing a certain behavior that it has. So, you know, one of the things that we've been looking at or is, is another like common area where you would want to make a somewhat surgical edit is some of the models that have say political bias. Like you look at Quen or, um, R1 and they have sort of like this CCP bias.Shawn Wang [00:09:27]: Is there a CCP vector?Mark Bissell [00:09:29]: Well, there's, there are certainly internal, yeah. Parts of the representation space where you can sort of see where that lives. Yeah. Um, and you want to kind of, you know, extract that piece out.Shawn Wang [00:09:40]: Well, I always say, you know, whenever you find a vector, a fun exercise is just like, make it very negative to see what the opposite of CCP is.Mark Bissell [00:09:47]: The super America, bald eagles flying everywhere. But yeah. So in general, like lots of post-training tasks where you'd want to be able to, to do that. Whether it's unlearning a certain behavior or, you know, some of the other kind of cases where this comes up is, are you familiar with like the, the grokking behavior? I mean, I know the machine learning term of grokking.Shawn Wang [00:10:09]: Yeah.Mark Bissell [00:10:09]: Sort of this like double descent idea of, of having a model that is able to learn a generalizing, a generalizing solution, as opposed to even if memorization of some task would suffice, you want it to learn the more general way of doing a thing. And so, you know, another. A way that you can think about having surgical access to a model's internals would be learn from this data, but learn in the right way. If there are many possible, you know, ways to, to do that. Can make interp solve the double descent problem?Shawn Wang [00:10:41]: Depends, I guess, on how you. Okay. So I, I, I viewed that double descent as a problem because then you're like, well, if the loss curves level out, then you're done, but maybe you're not done. Right. Right. But like, if you actually can interpret what is a generalizing or what you're doing. What is, what is still changing, even though the loss is not changing, then maybe you, you can actually not view it as a double descent problem. And actually you're just sort of translating the space in which you view loss and like, and then you have a smooth curve. Yeah.Mark Bissell [00:11:11]: I think that's certainly like the domain of, of problems that we're, that we're looking to get.Shawn Wang [00:11:15]: Yeah. To me, like double descent is like the biggest thing to like ML research where like, if you believe in scaling, then you don't need, you need to know where to scale. And. But if you believe in double descent, then you don't, you don't believe in anything where like anything levels off, like.Vibhu Sapra [00:11:30]: I mean, also tendentially there's like, okay, when you talk about the China vector, right. There's the subliminal learning work. It was from the anthropic fellows program where basically you can have hidden biases in a model. And as you distill down or, you know, as you train on distilled data, those biases always show up, even if like you explicitly try to not train on them. So, you know, it's just like another use case of. Okay. If we can interpret what's happening in post-training, you know, can we clear some of this? Can we even determine what's there? Because yeah, it's just like some worrying research that's out there that shows, you know, we really don't know what's going on.Mark Bissell [00:12:06]: That is. Yeah. I think that's the biggest sentiment that we're sort of hoping to tackle. Nobody knows what's going on. Right. Like subliminal learning is just an insane concept when you think about it. Right. Train a model on not even the logits, literally the output text of a bunch of random numbers. And now your model loves owls. And you see behaviors like that, that are just, they defy, they defy intuition. And, and there are mathematical explanations that you can get into, but. I mean.Shawn Wang [00:12:34]: It feels so early days. Objectively, there are a sequence of numbers that are more owl-like than others. There, there should be.Mark Bissell [00:12:40]: According to, according to certain models. Right. It's interesting. I think it only applies to models that were initialized from the same starting Z. Usually, yes.Shawn Wang [00:12:49]: But I mean, I think that's a, that's a cheat code because there's not enough compute. But like if you believe in like platonic representation, like probably it will transfer across different models as well. Oh, you think so?Mark Bissell [00:13:00]: I think of it more as a statistical artifact of models initialized from the same seed sort of. There's something that is like path dependent from that seed that might cause certain overlaps in the latent space and then sort of doing this distillation. Yeah. Like it pushes it towards having certain other tendencies.Vibhu Sapra [00:13:24]: Got it. I think there's like a bunch of these open-ended questions, right? Like you can't train in new stuff during the RL phase, right? RL only reorganizes weights and you can only do stuff that's somewhat there in your base model. You're not learning new stuff. You're just reordering chains and stuff. But okay. My broader question is when you guys work at an interp lab, how do you decide what to work on and what's kind of the thought process? Right. Because we can ramble for hours. Okay. I want to know this. I want to know that. But like, how do you concretely like, you know, what's the workflow? Okay. There's like approaches towards solving a problem, right? I can try prompting. I can look at chain of thought. I can train probes, SAEs. But how do you determine, you know, like, okay, is this going anywhere? Like, do we have set stuff? Just, you know, if you can help me with all that. Yeah.Myra Deng [00:14:07]: It's a really good question. I feel like we've always at the very beginning of the company thought about like, let's go and try to learn what isn't working in machine learning today. Whether that's talking to customers or talking to researchers at other labs, trying to understand both where the frontier is going and where things are really not falling apart today. And then developing a perspective on how we can push the frontier using interpretability methods. And so, you know, even our chief scientist, Tom, spends a lot of time talking to customers and trying to understand what real world problems are and then taking that back and trying to apply the current state of the art to those problems and then seeing where they fall down basically. And then using those failures or those shortcomings to understand what hills to climb when it comes to interpretability research. So like on the fundamental side, for instance, when we have done some work applying SAEs and probes, we've encountered, you know, some shortcomings in SAEs that we found a little bit surprising. And so have gone back to the drawing board and done work on that. And then, you know, we've done some work on better foundational interpreter models. And a lot of our team's research is focused on what is the next evolution beyond SAEs, for instance. And then when it comes to like control and design of models, you know, we tried steering with our first API and realized that it still fell short of black box techniques like prompting or fine tuning. And so went back to the drawing board and we're like, how do we make that not the case and how do we improve it beyond that? And one of our researchers, Ekdeep, who just joined is actually Ekdeep and Atticus are like steering experts and have spent a lot of time trying to figure out like, what is the research that enables us to actually do this in a much more powerful, robust way? So yeah, the answer is like, look at real world problems, try to translate that into a research agenda and then like hill climb on both of those at the same time.Shawn Wang [00:16:04]: Yeah. Mark has the steering CLI demo queued up, which we're going to go into in a sec. But I always want to double click on when you drop hints, like we found some problems with SAEs. Okay. What are they? You know, and then we can go into the demo. Yeah.Myra Deng [00:16:19]: I mean, I'm curious if you have more thoughts here as well, because you've done it in the healthcare domain. But I think like, for instance, when we do things like trying to detect behaviors within models that are harmful or like behaviors that a user might not want to have in their model. So hallucinations, for instance, harmful intent, PII, all of these things. We first tried using SAE probes for a lot of these tasks. So taking the feature activation space from SAEs and then training classifiers on top of that, and then seeing how well we can detect the properties that we might want to detect in model behavior. And we've seen in many cases that probes just trained on raw activations seem to perform better than SAE probes, which is a bit surprising if you think that SAEs are actually also capturing the concepts that you would want to capture cleanly and more surgically. And so that is an interesting observation. I don't think that is like, I'm not down on SAEs at all. I think there are many, many things they're useful for, but we have definitely run into cases where I think the concept space described by SAEs is not as clean and accurate as we would expect it to be for actual like real world downstream performance metrics.Mark Bissell [00:17:34]: Fair enough. Yeah. It's the blessing and the curse of unsupervised methods where you get to peek into the AI's mind. But sometimes you wish that you saw other things when you walked inside there. Although in the PII instance, I think weren't an SAE based approach actually did prove to be the most generalizable?Myra Deng [00:17:53]: It did work well in the case that we published with Rakuten. And I think a lot of the reasons it worked well was because we had a noisier data set. And so actually the blessing of unsupervised learning is that we actually got to get more meaningful, generalizable signal from SAEs when the data was noisy. But in other cases where we've had like good data sets, it hasn't been the case.Shawn Wang [00:18:14]: And just because you named Rakuten and I don't know if we'll get it another chance, like what is the overall, like what is Rakuten's usage or production usage? Yeah.Myra Deng [00:18:25]: So they are using us to essentially guardrail and inference time monitor their language model usage and their agent usage to detect things like PII so that they don't route private user information.Myra Deng [00:18:41]: And so that's, you know, going through all of their user queries every day. And that's something that we deployed with them a few months ago. And now we are actually exploring very early partnerships, not just with Rakuten, but with other people around how we can help with potentially training and customization use cases as well. Yeah.Shawn Wang [00:19:03]: And for those who don't know, like it's Rakuten is like, I think number one or number two e-commerce store in Japan. Yes. Yeah.Mark Bissell [00:19:10]: And I think that use case actually highlights a lot of like what it looks like to deploy things in practice that you don't always think about when you're doing sort of research tasks. So when you think about some of the stuff that came up there that's more complex than your idealized version of a problem, they were encountering things like synthetic to real transfer of methods. So they couldn't train probes, classifiers, things like that on actual customer data of PII. So what they had to do is use synthetic data sets. And then hope that that transfer is out of domain to real data sets. And so we can evaluate performance on the real data sets, but not train on customer PII. So that right off the bat is like a big challenge. You have multilingual requirements. So this needed to work for both English and Japanese text. Japanese text has all sorts of quirks, including tokenization behaviors that caused lots of bugs that caused us to be pulling our hair out. And then also a lot of tasks you'll see. You might make simplifying assumptions if you're sort of treating it as like the easiest version of the problem to just sort of get like general results where maybe you say you're classifying a sentence to say, does this contain PII? But the need that Rakuten had was token level classification so that you could precisely scrub out the PII. So as we learned more about the problem, you're sort of speaking about what that looks like in practice. Yeah. A lot of assumptions end up breaking. And that was just one instance where you. A problem that seems simple right off the bat ends up being more complex as you keep diving into it.Vibhu Sapra [00:20:41]: Excellent. One of the things that's also interesting with Interp is a lot of these methods are very efficient, right? So where you're just looking at a model's internals itself compared to a separate like guardrail, LLM as a judge, a separate model. One, you have to host it. Two, there's like a whole latency. So if you use like a big model, you have a second call. Some of the work around like self detection of hallucination, it's also deployed for efficiency, right? So if you have someone like Rakuten doing it in production live, you know, that's just another thing people should consider.Mark Bissell [00:21:12]: Yeah. And something like a probe is super lightweight. Yeah. It's no extra latency really. Excellent.Shawn Wang [00:21:17]: You have the steering demos lined up. So we were just kind of see what you got. I don't, I don't actually know if this is like the latest, latest or like alpha thing.Mark Bissell [00:21:26]: No, this is a pretty hacky demo from from a presentation that someone else on the team recently gave. So this will give a sense for, for technology. So you can see the steering and action. Honestly, I think the biggest thing that this highlights is that as we've been growing as a company and taking on kind of more and more ambitious versions of interpretability related problems, a lot of that comes to scaling up in various different forms. And so here you're going to see steering on a 1 trillion parameter model. This is Kimi K2. And so it's sort of fun that in addition to the research challenges, there are engineering challenges that we're now tackling. Cause for any of this to be sort of useful in production, you need to be thinking about what it looks like when you're using these methods on frontier models as opposed to sort of like toy kind of model organisms. So yeah, this was thrown together hastily, pretty fragile behind the scenes, but I think it's quite a fun demo. So screen sharing is on. So I've got two terminal sessions pulled up here. On the left is a forked version that we have of the Kimi CLI that we've got running to point at our custom hosted Kimi model. And then on the right is a set up that will allow us to steer on certain concepts. So I should be able to chat with Kimi over here. Tell it hello. This is running locally. So the CLI is running locally, but the Kimi server is running back to the office. Well, hopefully should be, um, that's too much to run on that Mac. Yeah. I think it's, uh, it takes a full, like each 100 node. I think it's like, you can. You can run it on eight GPUs, eight 100. So, so yeah, Kimi's running. We can ask it a prompt. It's got a forked version of our, uh, of the SG line code base that we've been working on. So I'm going to tell it, Hey, this SG line code base is slow. I think there's a bug. Can you try to figure it out? There's a big code base, so it'll, it'll spend some time doing this. And then on the right here, I'm going to initialize in real time. Some steering. Let's see here.Mark Bissell [00:23:33]: searching for any. Bugs. Feature ID 43205.Shawn Wang [00:23:38]: Yeah.Mark Bissell [00:23:38]: 20, 30, 40. So let me, uh, this is basically a feature that we found that inside Kimi seems to cause it to speak in Gen Z slang. And so on the left, it's still sort of thinking normally it might take, I don't know, 15 seconds for this to kick in, but then we're going to start hopefully seeing him do this code base is massive for real. So we're going to start. We're going to start seeing Kimi transition as the steering kicks in from normal Kimi to Gen Z Kimi and both in its chain of thought and its actual outputs.Mark Bissell [00:24:19]: And interestingly, you can see, you know, it's still able to call tools, uh, and stuff. It's um, it's purely sort of it's it's demeanor. And there are other features that we found for interesting things like concision. So that's more of a practical one. You can make it more concise. Um, the types of programs, uh, programming languages that uses, but yeah, as we're seeing it come in. Pretty good. Outputs.Shawn Wang [00:24:43]: Scheduler code is actually wild.Vibhu Sapra [00:24:46]: Yo, this code is actually insane, bro.Vibhu Sapra [00:24:53]: What's the process of training in SAE on this, or, you know, how do you label features? I know you guys put out a pretty cool blog post about, um, finding this like autonomous interp. Um, something. Something about how agents for interp is different than like coding agents. I don't know while this is spewing up, but how, how do we find feature 43, two Oh five. Yeah.Mark Bissell [00:25:15]: So in this case, um, we, our platform that we've been building out for a long time now supports all the sort of classic out of the box interp techniques that you might want to have like SAE training, probing things of that kind, I'd say the techniques for like vanilla SAEs are pretty well established now where. You take your model that you're interpreting, run a whole bunch of data through it, gather activations, and then yeah, pretty straightforward pipeline to train an SAE. There are a lot of different varieties. There's top KSAEs, batch top KSAEs, um, normal ReLU SAEs. And then once you have your sparse features to your point, assigning labels to them to actually understand that this is a gen Z feature, that's actually where a lot of the kind of magic happens. Yeah. And the most basic standard technique is look at all of your d input data set examples that cause this feature to fire most highly. And then you can usually pick out a pattern. So for this feature, If I've run a diverse enough data set through my model feature 43, two Oh five. Probably tends to fire on all the tokens that sounds like gen Z slang. You know, that's the, that's the time of year to be like, Oh, I'm in this, I'm in this Um, and, um, so, you know, you could have a human go through all 43,000 concepts andVibhu Sapra [00:26:34]: And I've got to ask the basic question, you know, can we get examples where it hallucinates, pass it through, see what feature activates for hallucinations? Can I just, you know, turn hallucination down?Myra Deng [00:26:51]: Oh, wow. You really predicted a project we're already working on right now, which is detecting hallucinations using interpretability techniques. And this is interesting because hallucinations is something that's very hard to detect. And it's like a kind of a hairy problem and something that black box methods really struggle with. Whereas like Gen Z, you could always train a simple classifier to detect that hallucinations is harder. But we've seen that models internally have some... Awareness of like uncertainty or some sort of like user pleasing behavior that leads to hallucinatory behavior. And so, yeah, we have a project that's trying to detect that accurately. And then also working on mitigating the hallucinatory behavior in the model itself as well.Shawn Wang [00:27:39]: Yeah, I would say most people are still at the level of like, oh, I would just turn temperature to zero and that turns off hallucination. And I'm like, well, that's a fundamental misunderstanding of how this works. Yeah.Mark Bissell [00:27:51]: Although, so part of what I like about that question is you, there are SAE based approaches that might like help you get at that. But oftentimes the beauty of SAEs and like we said, the curse is that they're unsupervised. So when you have a behavior that you deliberately would like to remove, and that's more of like a supervised task, often it is better to use something like probes and specifically target the thing that you're interested in reducing as opposed to sort of like hoping that when you fragment the latent space, one of the vectors that pops out.Vibhu Sapra [00:28:20]: And as much as we're training an autoencoder to be sparse, we're not like for sure certain that, you know, we will get something that just correlates to hallucination. You'll probably split that up into 20 other things and who knows what they'll be.Mark Bissell [00:28:36]: Of course. Right. Yeah. So there's no sort of problems with like feature splitting and feature absorption. And then there's the off target effects, right? Ideally, you would want to be very precise where if you reduce the hallucination feature, suddenly maybe your model can't write. Creatively anymore. And maybe you don't like that, but you want to still stop it from hallucinating facts and figures.Shawn Wang [00:28:55]: Good. So Vibhu has a paper to recommend there that we'll put in the show notes. But yeah, I mean, I guess just because your demo is done, any any other things that you want to highlight or any other interesting features you want to show?Mark Bissell [00:29:07]: I don't think so. Yeah. Like I said, this is a pretty small snippet. I think the main sort of point here that I think is exciting is that there's not a whole lot of inter being applied to models quite at this scale. You know, Anthropic certainly has some some. Research and yeah, other other teams as well. But it's it's nice to see these techniques, you know, being put into practice. I think not that long ago, the idea of real time steering of a trillion parameter model would have sounded.Shawn Wang [00:29:33]: Yeah. The fact that it's real time, like you started the thing and then you edited the steering vector.Vibhu Sapra [00:29:38]: I think it's it's an interesting one TBD of what the actual like production use case would be on that, like the real time editing. It's like that's the fun part of the demo, right? You can kind of see how this could be served behind an API, right? Like, yes, you're you only have so many knobs and you can just tweak it a bit more. And I don't know how it plays in. Like people haven't done that much with like, how does this work with or without prompting? Right. How does this work with fine tuning? Like, there's a whole hype of continual learning, right? So there's just so much to see. Like, is this another parameter? Like, is it like parameter? We just kind of leave it as a default. We don't use it. So I don't know. Maybe someone here wants to put out a guide on like how to use this with prompting when to do what?Mark Bissell [00:30:18]: Oh, well, I have a paper recommendation. I think you would love from Act Deep on our team, who is an amazing researcher, just can't say enough amazing things about Act Deep. But he actually has a paper that as well as some others from the team and elsewhere that go into the essentially equivalence of activation steering and in context learning and how those are from a he thinks of everything in a cognitive neuroscience Bayesian framework, but basically how you can precisely show how. Prompting in context, learning and steering exhibit similar behaviors and even like get quantitative about the like magnitude of steering you would need to do to induce a certain amount of behavior similar to certain prompting, even for things like jailbreaks and stuff. It's a really cool paper. Are you saying steering is less powerful than prompting? More like you can almost write a formula that tells you how to convert between the two of them.Myra Deng [00:31:20]: And so like formally equivalent actually in the in the limit. Right.Mark Bissell [00:31:24]: So like one case study of this is for jailbreaks there. I don't know. Have you seen the stuff where you can do like many shot jailbreaking? You like flood the context with examples of the behavior. And the topic put out that paper.Shawn Wang [00:31:38]: A lot of people were like, yeah, we've been doing this, guys.Mark Bissell [00:31:40]: Like, yeah, what's in this in context learning and activation steering equivalence paper is you can like predict the number. Number of examples that you will need to put in there in order to jailbreak the model. That's cool. By doing steering experiments and using this sort of like equivalence mapping. That's cool. That's really cool. It's very neat. Yeah.Shawn Wang [00:32:02]: I was going to say, like, you know, I can like back rationalize that this makes sense because, you know, what context is, is basically just, you know, it updates the KV cache kind of and like and then every next token inference is still like, you know, the sheer sum of everything all the way. It's plus all the context. It's up to date. And you could, I guess, theoretically steer that with you probably replace that with your steering. The only problem is steering typically is on one layer, maybe three layers like like you did. So it's like not exactly equivalent.Mark Bissell [00:32:33]: Right, right. There's sort of you need to get precise about, yeah, like how you sort of define steering and like what how you're modeling the setup. But yeah, I've got the paper pulled up here. Belief dynamics reveal the dual nature. Yeah. The title is Belief Dynamics Reveal the Dual Nature of Incompetence. And it's an exhibition of the practical context learning and activation steering. So Eric Bigelow, Dan Urgraft on the who are doing fellowships at Goodfire, Ekt Deep's the final author there.Myra Deng [00:32:59]: I think actually to your question of like, what is the production use case of steering? I think maybe if you just think like one level beyond steering as it is today. Like imagine if you could adapt your model to be, you know, an expert legal reasoner. Like in almost real time, like very quickly. efficiently using human feedback or using like your semantic understanding of what the model knows and where it knows that behavior. I think that while it's not clear what the product is at the end of the day, it's clearly very valuable. Thinking about like what's the next interface for model customization and adaptation is a really interesting problem for us. Like we have heard a lot of people actually interested in fine-tuning an RL for open weight models in production. And so people are using things like Tinker or kind of like open source libraries to do that, but it's still very difficult to get models fine-tuned and RL'd for exactly what you want them to do unless you're an expert at model training. And so that's like something we'reShawn Wang [00:34:06]: looking into. Yeah. I never thought so. Tinker from Thinking Machines famously uses rank one LoRa. Is that basically the same as steering? Like, you know, what's the comparison there?Mark Bissell [00:34:19]: Well, so in that case, you are still applying updates to the parameters, right?Shawn Wang [00:34:25]: Yeah. You're not touching a base model. You're touching an adapter. It's kind of, yeah.Mark Bissell [00:34:30]: Right. But I guess it still is like more in parameter space then. I guess it's maybe like, are you modifying the pipes or are you modifying the water flowing through the pipes to get what you're after? Yeah. Just maybe one way.Mark Bissell [00:34:44]: I like that analogy. That's my mental map of it at least, but it gets at this idea of model design and intentional design, which is something that we're, that we're very focused on. And just the fact that like, I hope that we look back at how we're currently training models and post-training models and just think what a primitive way of doing that right now. Like there's no intentionalityShawn Wang [00:35:06]: really in... It's just data, right? The only thing in control is what data we feed in.Mark Bissell [00:35:11]: So, so Dan from Goodfire likes to use this analogy of, you know, he has a couple of young kids and he talks about like, what if I could only teach my kids how to be good people by giving them cookies or like, you know, giving them a slap on the wrist if they do something wrong, like not telling them why it was wrong or like what they should have done differently or something like that. Just figure it out. Right. Exactly. So that's RL. Yeah. Right. And, and, you know, it's sample inefficient. There's, you know, what do they say? It's like slurping feedback. It's like, slurping supervision. Right. And so you'd like to get to the point where you can have experts giving feedback to their models that are, uh, internalized and, and, you know, steering is an inference time way of sort of getting that idea. But ideally you're moving to a world whereVibhu Sapra [00:36:04]: it is much more intentional design in perpetuity for these models. Okay. This is one of the questions we asked Emmanuel from Anthropic on the podcast a few months ago. Basically the question, was you're at a research lab that does model training, foundation models, and you're on an interp team. How does it tie back? Right? Like, does this, do ideas come from the pre-training team? Do they go back? Um, you know, so for those interested, you can, you can watch that. There wasn't too much of a connect there, but it's still something, you know, it's something they want toMark Bissell [00:36:33]: push for down the line. It can be useful for all of the above. Like there are certainly post-hocVibhu Sapra [00:36:39]: use cases where it doesn't need to touch that. I think the other thing a lot of people forget is this stuff isn't too computationally expensive, right? Like I would say, if you're interested in getting into research, MechInterp is one of the most approachable fields, right? A lot of this train an essay, train a probe, this stuff, like the budget for this one, there's already a lot done. There's a lot of open source work. You guys have done some too. Um, you know,Shawn Wang [00:37:04]: There's like notebooks from the Gemini team for Neil Nanda or like, this is how you do it. Just step through the notebook.Vibhu Sapra [00:37:09]: Even if you're like, not even technical with any of this, you can still make like progress. There, you can look at different activations, but, uh, if you do want to get into training, you know, training this stuff, correct me if I'm wrong is like in the thousands of dollars, not even like, it's not that high scale. And then same with like, you know, applying it, doing it for post-training or all this stuff is fairly cheap in scale of, okay. I want to get into like model training. I don't have compute for like, you know, pre-training stuff. So it's, it's a very nice field to get into. And also there's a lot of like open questions, right? Um, some of them have to go with, okay, I want a product. I want to solve this. Like there's also just a lot of open-ended stuff that people could work on. That's interesting. Right. I don't know if you guys have any calls for like, what's open questions, what's open work that you either open collaboration with, or like, you'd just like to see solved or just, you know, for people listening that want to get into McInturk because people always talk about it. What are, what are the things they should check out? Start, of course, you know, join you guys as well. I'm sure you're hiring.Myra Deng [00:38:09]: There's a paper, I think from, was it Lee, uh, Sharky? It's open problems and, uh, it's, it's a bit of interpretability, which I recommend everyone who's interested in the field. Read. I'm just like a really comprehensive overview of what are the things that experts in the field think are the most important problems to be solved. I also think to your point, it's been really, really inspiring to see, I think a lot of young people getting interested in interpretability, actually not just young people also like scientists to have been, you know, experts in physics for many years and in biology or things like this, um, transitioning into interp, because the barrier of, of what's now interp. So it's really cool to see a number to entry is, you know, in some ways low and there's a lot of information out there and ways to get started. There's this anecdote of like professors at universities saying that all of a sudden every incoming PhD student wants to study interpretability, which was not the case a few years ago. So it just goes to show how, I guess, like exciting the field is, how fast it's moving, how quick it is to get started and things like that.Mark Bissell [00:39:10]: And also just a very welcoming community. You know, there's an open source McInturk Slack channel. There are people are always posting questions and just folks in the space are always responsive if you ask things on various forums and stuff. But yeah, the open paper, open problems paper is a really good one.Myra Deng [00:39:28]: For other people who want to get started, I think, you know, MATS is a great program. What's the acronym for? Machine Learning and Alignment Theory Scholars? It's like the...Vibhu Sapra [00:39:40]: Normally summer internship style.Myra Deng [00:39:42]: Yeah, but they've been doing it year round now. And actually a lot of our full-time staff have come through that program or gone through that program. And it's great for anyone who is transitioning into interpretability. There's a couple other fellows programs. We do one as well as Anthropic. And so those are great places to get started if anyone is interested.Mark Bissell [00:40:03]: Also, I think been seen as a research field for a very long time. But I think engineering... I think engineers are sorely wanted for interpretability as well, especially at Goodfire, but elsewhere, as it does scale up.Shawn Wang [00:40:18]: I should mention that Lee actually works with you guys, right? And in the London office and I'm adding our first ever McInturk track at AI Europe because I see this industry applications now emerging. And I'm pretty excited to, you know, help push that along. Yeah, I was looking forward to that. It'll effectively be the first industry McInturk conference. Yeah. I'm so glad you added that. You know, it's still a little bit of a bet. It's not that widespread, but I can definitely see this is the time to really get into it. We want to be early on things.Mark Bissell [00:40:51]: For sure. And I think the field understands this, right? So at ICML, I think the title of the McInturk workshop this year was actionable interpretability. And there was a lot of discussion around bringing it to various domains. Everyone's adding pragmatic, actionable, whatever.Shawn Wang [00:41:10]: It's like, okay, well, we weren't actionable before, I guess. I don't know.Vibhu Sapra [00:41:13]: And I mean, like, just, you know, being in Europe, you see the Interp room. One, like old school conferences, like, I think they had a very tiny room till they got lucky and they got it doubled. But there's definitely a lot of interest, a lot of niche research. So you see a lot of research coming out of universities, students. We covered the paper last week. It's like two unknown authors, not many citations. But, you know, you can make a lot of meaningful work there. Yeah. Yeah. Yeah.Shawn Wang [00:41:39]: Yeah. I think people haven't really mentioned this yet. It's just Interp for code. I think it's like an abnormally important field. We haven't mentioned this yet. The conspiracy theory last two years ago was when the first SAE work came out of Anthropic was they would do like, oh, we just used SAEs to turn the bad code vector down and then turn up the good code. And I think like, isn't that the dream? Like, you know, like, but basically, I guess maybe, why is it funny? Like, it's... If it was realistic, it would not be funny. It would be like, no, actually, we should do this. But it's funny because we know there's like, we feel there's some limitations to what steering can do. And I think a lot of the public image of steering is like the Gen Z stuff. Like, oh, you can make it really love the Golden Gate Bridge, or you can make it speak like Gen Z. To like be a legal reasoner seems like a huge stretch. Yeah. And I don't know if that will get there this way. Yeah.Myra Deng [00:42:36]: I think, um, I will say we are announcing. Something very soon that I will not speak too much about. Um, but I think, yeah, this is like what we've run into again and again is like, we, we don't want to be in the world where steering is only useful for like stylistic things. That's definitely not, not what we're aiming for. But I think the types of interventions that you need to do to get to things like legal reasoning, um, are much more sophisticated and require breakthroughs in, in learning algorithms. And that's, um...Shawn Wang [00:43:07]: And is this an emergent property of scale as well?Myra Deng [00:43:10]: I think so. Yeah. I mean, I think scale definitely helps. I think scale allows you to learn a lot of information and, and reduce noise across, you know, large amounts of data. But I also think we think that there's ways to do things much more effectively, um, even, even at scale. So like actually learning exactly what you want from the data and not learning things that you do that you don't want exhibited in the data. So we're not like anti-scale, but we are also realizing that scale is not going to get us anywhere. It's not going to get us to the type of AI development that we want to be at in, in the future as these models get more powerful and get deployed in all these sorts of like mission critical contexts. Current life cycle of training and deploying and evaluations is, is to us like deeply broken and has opportunities to, to improve. So, um, more to come on that very, very soon.Mark Bissell [00:44:02]: And I think that that's a use basically, or maybe just like a proof point that these concepts do exist. Like if you can manipulate them in the precise best way, you can get the ideal combination of them that you desire. And steering is maybe the most coarse grained sort of peek at what that looks like. But I think it's evocative of what you could do if you had total surgical control over every concept, every parameter. Yeah, exactly.Myra Deng [00:44:30]: There were like bad code features. I've got it pulled up.Vibhu Sapra [00:44:33]: Yeah. Just coincidentally, as you guys are talking.Shawn Wang [00:44:35]: This is like, this is exactly.Vibhu Sapra [00:44:38]: There's like specifically a code error feature that activates and they show, you know, it's not, it's not typo detection. It's like, it's, it's typos in code. It's not typical typos. And, you know, you can, you can see it clearly activates where there's something wrong in code. And they have like malicious code, code error. They have a whole bunch of sub, you know, sub broken down little grain features. Yeah.Shawn Wang [00:45:02]: Yeah. So, so the, the rough intuition for me, the, why I talked about post-training was that, well, you just, you know, have a few different rollouts with all these things turned off and on and whatever. And then, you know, you can, that's, that's synthetic data you can kind of post-train on. Yeah.Vibhu Sapra [00:45:13]: And I think we make it sound easier than it is just saying, you know, they do the real hard work.Myra Deng [00:45:19]: I mean, you guys, you guys have the right idea. Exactly. Yeah. We replicated a lot of these features in, in our Lama models as well. I remember there was like.Vibhu Sapra [00:45:26]: And I think a lot of this stuff is open, right? Like, yeah, you guys opened yours. DeepMind has opened a lot of essays on Gemma. Even Anthropic has opened a lot of this. There's, there's a lot of resources that, you know, we can probably share of people that want to get involved.Shawn Wang [00:45:41]: Yeah. And special shout out to like Neuronpedia as well. Yes. Like, yeah, amazing piece of work to visualize those things.Myra Deng [00:45:49]: Yeah, exactly.Shawn Wang [00:45:50]: I guess I wanted to pivot a little bit on, onto the healthcare side, because I think that's a big use case for you guys. We haven't really talked about it yet. This is a bit of a crossover for me because we are, we are, we do have a separate science pod that we're starting up for AI, for AI for science, just because like, it's such a huge investment category and also I'm like less qualified to do it, but we actually have bio PhDs to cover that, which is great, but I need to just kind of recover, recap your work, maybe on the evil two stuff, but then, and then building forward.Mark Bissell [00:46:17]: Yeah, for sure. And maybe to frame up the conversation, I think another kind of interesting just lens on interpretability in general is a lot of the techniques that were described. are ways to solve the AI human interface problem. And it's sort of like bidirectional communication is the goal there. So what we've been talking about with intentional design of models and, you know, steering, but also more advanced techniques is having humans impart our desires and control into models and over models. And the reverse is also very interesting, especially as you get to superhuman models, whether that's narrow superintelligence, like these scientific models that work on genomics, data, medical imaging, things like that. But down the line, you know, superintelligence of other forms as well. What knowledge can the AIs teach us as sort of that, that the other direction in that? And so some of our life science work to date has been getting at exactly that question, which is, well, some of it does look like debugging these various life sciences models, understanding if they're actually performing well, on tasks, or if they're picking up on spurious correlations, for instance, genomics models, you would like to know whether they are sort of focusing on the biologically relevant things that you care about, or if it's using some simpler correlate, like the ancestry of the person that it's looking at. But then also in the instances where they are superhuman, and maybe they are understanding elements of the human genome that we don't have names for or specific, you know, yeah, discoveries that they've made that that we don't know about, that's, that's a big goal. And so we're already seeing that, right, we are partnered with organizations like Mayo Clinic, leading research health system in the United States, our Institute, as well as a startup called Prima Menta, which focuses on neurodegenerative disease. And in our partnership with them, we've used foundation models, they've been training and applied our interpretability techniques to find novel biomarkers for Alzheimer's disease. So I think this is just the tip of the iceberg. But it's, that's like a flavor of some of the things that we're working on.Shawn Wang [00:48:36]: Yeah, I think that's really fantastic. Obviously, we did the Chad Zuckerberg pod last year as well. And like, there's a plethora of these models coming out, because there's so much potential and research. And it's like, very interesting how it's basically the same as language models, but just with a different underlying data set. But it's like, it's the same exact techniques. Like, there's no change, basically.Mark Bissell [00:48:59]: Yeah. Well, and even in like other domains, right? Like, you know, robotics, I know, like a lot of the companies just use Gemma as like the like backbone, and then they like make it into a VLA that like takes these actions. It's, it's, it's transformers all the way down. So yeah.Vibhu Sapra [00:49:15]: Like we have Med Gemma now, right? Like this week, even there was Med Gemma 1.5. And they're training it on this stuff, like 3d scans, medical domain knowledge, and all that stuff, too. So there's a push from both sides. But I think the thing that, you know, one of the things about McInturpp is like, you're a little bit more cautious in some domains, right? So healthcare, mainly being one, like guardrails, understanding, you know, we're more risk adverse to something going wrong there. So even just from a basic understanding, like, if we're trusting these systems to make claims, we want to know why and what's going on.Myra Deng [00:49:51]: Yeah, I think there's totally a kind of like deployment bottleneck to actually using. foundation models for real patient usage or things like that. Like, say you're using a model for rare disease prediction, you probably want some explanation as to why your model predicted a certain outcome, and an interpretable explanation at that. So that's definitely a use case. But I also think like, being able to extract scientific information that no human knows to accelerate drug discovery and disease treatment and things like that actually is a really, really big unlock for science, like scientific discovery. And you've seen a lot of startups, like say that they're going to accelerate scientific discovery. And I feel like we actually are doing that through our interp techniques. And kind of like, almost by accident, like, I think we got reached out to very, very early on from these healthcare institutions. And none of us had healthcare.Shawn Wang [00:50:49]: How did they even hear of you? A podcast.Myra Deng [00:50:51]: Oh, okay. Yeah, podcast.Vibhu Sapra [00:50:53]: Okay, well, now's that time, you know.Myra Deng [00:50:55]: Everyone can call us.Shawn Wang [00:50:56]: Podcasts are the most important thing. Everyone should listen to podcasts.Myra Deng [00:50:59]: Yeah, they reached out. They were like, you know, we have these really smart models that we've trained, and we want to know what they're doing. And we were like, really early that time, like three months old, and it was a few of us. And we were like, oh, my God, we've never used these models. Let's figure it out. But it's also like, great proof that interp techniques scale pretty well across domains. We didn't really have to learn too much about.Shawn Wang [00:51:21]: Interp is a machine learning technique, machine learning skills everywhere, right? Yeah. And it's obviously, it's just like a general insight. Yeah. Probably to finance too, I think, which would be fun for our history. I don't know if you have anything to say there.Mark Bissell [00:51:34]: Yeah, well, just across the science. Like, we've also done work on material science. Yeah, it really runs the gamut.Vibhu Sapra [00:51:40]: Yeah. Awesome. And, you know, for those that should reach out, like, you're obviously experts in this, but like, is there a call out for people that you're looking to partner with, design partners, people to use your stuff outside of just, you know, the general developer that wants to. Plug and play steering stuff, like on the research side more so, like, are there ideal design partners, customers, stuff like that?Myra Deng [00:52:03]: Yeah, I can talk about maybe non-life sciences, and then I'm curious to hear from you on the life sciences side. But we're looking for design partners across many domains, language, anyone who's customizing language models or trying to push the frontier of code or reasoning models is really interesting to us. And then also interested in the frontier of modeling. There's a lot of models that work in, like, pixel space, as we call it. So if you're doing world models, video models, even robotics, where there's not a very clean natural language interface to interact with, I think we think that Interp can really help and are looking for a few partners in that space.Shawn Wang [00:52:43]: Just because you mentioned the keyword

Deloading is widespread, but its application is often inconsistent and undervalued. That gap caught Lee Bell’s attention after discovering there was no consensus definition. Bell is a Senior Lecturer at Sheffield Hallam University who focuses on the deloading, overtraining, and overreaching spectrum. He explains how overtraining and overreaching are sometimes used synonymously. That confusion is compounded further by associations with overtraining syndrome (OTS). Instead, Bell frames overreaching as a “window of opportunity” when used intentionally. For example, a planned overreach can be functional or non-functional based on recovery. Bell also examines opportunities and tradeoffs in modern periodization models. He contrasts flexible and fluid approaches with more traditional, rigid programming; each approach has implications for athlete trust and recovery. Looking ahead, Bell envisions a collaborative approach to sport science driven by coaching needs. He reflects on recent coaching survey data and the key themes that emerged for the future. Hear his perspective on next steps in velocity-based training, individualized periodization, and variability. Reach out to Lee via Instagram: @lee3ell and LinkedIn: @lee-bell| Find Eric on Instagram: @ericmcmahoncscs and LinkedIn: @ericmcmahoncscs   → Read the SCJ article co-authored by Lee Bell referenced in this episode: A Practical Approach to Deloading: Recommendations and Considerations for Strength and Physique Sports.Show Notes“For me, coming from a coaching background, there will never be a one size fits all. I would love there to be. And I think when I started my PhD, I had quite a reductionist view on this. There will be this perfect, golden microcycle that we can implement with all of our strength athletes, and they will all get stronger, and they will all get bigger. The problem is that […] you have to treat the individual athlete as a human being, so what I mean by that is all of the things that we know as coaches about their training gauge, their likes and dislikes, their individual goals, but also what's happening in the periphery as well.” 16:40 “You've got training stress. You've got exam stress. It's the same way as if someone's got like a big workload, a lot of hours at work, they're doing overtime and things like that. It's all about understanding how the psychology can impact the physiology of training.” 17:45 “If we use our experience as a Coach, […] Your jump scores are down. Your sleep scores are not where they should be. You're reporting muscle soreness, like lots of different things that we can triangulate rather than making that decision of, oh no, you've got another two weeks left or, yes, you're going to have a deload week. Why not just have a lighter session? The deload doesn't have to be-- and we always call it a deload week. But it doesn't have to be a week.” 25:30

In this episode, I talk about the need for a practical approach to AI and technology. I encourage you to learn how to use AI as a tool to win and embrace the constant evolution of the world. I also discuss the uncomfortably important role of parenting and why you are ultimately responsible for your social media algorithm.You'll learn about:How to approach AI and the evolving world as an opportunityWhy insecurity and materialism are often rooted in poor parentingThe importance of accountability and "purple" in your parenting strategyOvercoming negative habits like "doom scrolling" to change your mindsetThe double-edged sword of candor in business and personal lifeWhy your social media algorithm is actually your fault

Episode 334 hosts Dr Kourosh Tavakoli (Plastic Surgeon from Sydney, Australia) In this episode we discuss the latest trends and innovations in plastic surgery. We cover the rising popularity of GLP-1 weight loss drugs and the significant impact they are having on surgical trends and procedures. We then do a deep dive into the current preferences in breast aesthetics and the continuing evolution in techniques including as implant technology, lipo filling and the use of mesh for 'internal bra' support. We also cover the rare complications of breast implants known colloquially as 'breast implant illness' and 'breast implant associated cancer'. Our conversation also touches on the challenges faced by Australian surgeons given the stringent marketing regulation changes and the pros and cons of patient education through social media.  00:00 Introduction and Podcast Overview 00:40 Holiday Reflections and Introducing Dr Kourosh Tavakoli 02:29 Trends in Cosmetic Surgery 02:53 Impact of GLP-1 Agonists on Cosmetic Procedures 04:03 Breast Implant Trends and Patient Preferences 28:28 Breast Implant Illness and Patient Education 33:12 Practical Approach to Diagnosing Breast Implant Illness 34:06 Debunking Myths About Injectables and Chronic Symptoms 36:05 Advancements in Breast Surgery Techniques 37:46 Liposuction and Lipo Filling for Breast Enhancement 41:24 The Role of Internal Bras in Breast Surgery 50:22 Regulations and Social Media in Plastic Surgery 59:17 Challenges for New Plastic Surgeons 01:05:28 Conclusion and Final Thoughts ALL IA LINKS & CONTACT INFORMATION

In this episode of The Professional Services Pursuit, host Brent sits down with Shawn Windle, Founder and Managing Principal of ERP Advisors Group, to unpack a challenge nearly every professional services firm is grappling with: how to choose technology that delivers relief today and provides support for the needs of tomorrow. Drawing on hundreds of ERP and PSA implementations, Shawn shares candid insights into what works, what doesn't, and how leaders can avoid costly missteps while laying the groundwork for scalable, long-term success.Key topics covered in this episode:The people, process, and growth signals that indicate when it's time to outgrow mid-level systemsWhy firms that delay investing in core systems risk falling behind as AI adoption acceleratesThe hidden dangers of overshooting your actual business needs with overly complex platformA pragmatic framework leaders can use to make smarter, more confident technology decisionsVisit ERP Advisors Group to learn more about their services and schedule a consultation. Hosted on Acast. See acast.com/privacy for more information.

The Journal of Rheumatology's Editor-in-Chief Earl Silverman discusses this month's selection of articles that are most relevant to the clinical rheumatologist. Identifying Resolution of Clinically Suspect Arthralgia: A Step Toward Understanding Spontaneous Reversal of an At-Risk Stage of Rheumatoid Arthritis - doi.org/10.3899/jrheum.2025-0052 Effects of CD19 CAR T Cell Therapy on Quality of Life and Direct Healthcare Costs in Systemic Lupus Erythematosus: A Preliminary Analysis - doi.org/10.3899/jrheum.2024-1301 Evaluation of a Practical Approach to Diagnosis of Sjögren Disease in Clinical Practice - doi.org/10.3899/jrheum.2025-0574 Navigating the Roadblocks: National Patient and Provider Survey on Barriers to Healthcare and Medication Access for Patients With Vasculitis - doi.org/10.3899/jrheum.2025-0640 Health-Related Quality of Life in Disease-Modifying Antirheumatic Drug–Treated Adults With Juvenile Idiopathic Arthritis Compared to Rheumatoid Arthritis and the General Population - doi.org/10.3899/jrheum.2025-0384

All the Episodes of the Heidelcast Subscribe to the Heidelcast! Browse the Heidelshop! On X @Heidelcast On Insta & Facebook @Heidelcast Subscribe in Apple Podcast Subscribe directly via RSS Call The Heidelphone via Voice Memo On Your Phone The Heidelcast is available wherever podcasts are found including Spotify. Call or text the Heidelphone anytime at (760) 618-1563. Leave a message or email us a voice memo from your phone and we may use it in a future podcast. Record it and email it to heidelcast@heidelblog.net. If you benefit from the Heidelcast please leave a five-star review on Apple Podcasts so that others can find it. Please do not forget to make the coffer clink (see the donate button below). SHOW NOTES How To Subscribe To Heidelmedia The Heidelblog Resource Page Heidelmedia Resources The Ecumenical Creeds The Reformed Confessions The Heidelberg Catechism The Heidelberg Catechism: A Historical, Theological, and Pastoral Commentary (Lexham Academic) Recovering the Reformed Confession (P&R Publishing, 2008) Why I Am A Christian What Must A Christian Believe? Heidelblog Contributors Support Heidelmedia: use the donate button or send a check to: Heidelberg Reformation Association 1637 E. Valley Parkway #391 Escondido CA 92027 USA The HRA is a 501(c)(3) non-profit organization

In this episode, we explore how numerology can be used as a practical lens for understanding yourself and the seasons you move through. Cassandra breaks down the core principles of numerology in a clear, grounded way - what it is, how it works, and why so many people use it for clarity, timing, and self-awareness.Together, we talk about Life Path and Personal Year numbers and how they can offer insight into decision-making, parenting, relationships, and personal growth. We also explore how numerology can support you during transitions—career shifts, identity changes, motherhood, or moments when life feels uncertain.Casey shares her 20-year experience working with Cassandra, and how her family has used numerology as a touchpoint for clarity during important moments—not as prediction or mysticism, but as a reflective framework that brings perspective and direction.This conversation is for anyone curious about self-discovery, understanding patterns in their life, or finding supportive tools to navigate change with more confidence and ease.About CassandraYou can learn more about Cassandra's work, offerings, and approach on her website.To book a numerology session, contact Blaise at (604) 836-9852.ABOUT CASEY + IN HER SEASON In Her Season is a podcast for women navigating identity, ambition, and growth in midlife — hosted by Casey, brand and marketing advisor, founder and creative director of Thryve, and mom of two. We explore the evolving chapters of womanhood: career, self-discovery, burnout, creativity, motherhood, relationships, and finding yourself again in a busy season of life. Instagram:Substack: In Her Season Website: thryve.ca Work with Casey: thryve.ca/services ABOUT THRYVE Thryve supports women through personal growth, brand clarity, and creative expression — blending storytelling, strategy, and self-discovery for women building aligned lives and businesses. Learn more: thryve.ca CONNECT WITH THE PODCAST Instagram: @thryve_living / @inherseasonpodcast_ Subscribe on Substack: @thryveinherseason Leave a review on A...

In this episode of The Medicine Grand Rounders, we're joined by Dr. Wilson Tang, research director and staff cardiologist in the section of heart failure and cardiac transplantation, who delves into the cardiorenal physiology, decongestion strategies and future therapies. Moderated by: Faysal Massad

Jenny discusses the concept of having a 'word of the year' and how it can impact your life, but is not a “have to.” She shares her journey of finding her word for 2026 and gives a “behind the scenes” look at her very practical approach to an ongoing, personal relationship with God and how to hear Him speak. Find all Scripture references from this episode at http://jennyzentz.com/podcast-word-of-the-year  *Resources mentioned in this episode:  And please don't forget to subscribe, share, rate and review.Together we can help more women discover practical ways to apply the power of God's Word to our everyday stuff!*Please note resource links may be affiliate links. I will receive a small percentage from purchases made through them to help compensate for content creation time, effort, and cost. Happy Shopping!

Welcome to the DMF. I'm Justin Younts, and today I'm speaking with filmmaker Sara Alessandrini about her powerful and controversial documentary, This Is What New Yorkers Say. Sara created the film out of frustration with how the media portrayed Andrew Cuomo and what she saw as a lack of due process in the public discourse surrounding him.00:00:00 - Introduction00:00:07 - Guest Introduction00:00:32 - Guest Background00:01:19 - Guest's Early Life and Influence of Cinema00:03:04 - Guest's Views on Movies and Society00:03:24 - Discussion on Political Correctness in Movies00:08:31 - Guest's Journey into Filmmaking00:09:51 - Guest's Experience with Acting and Theatre00:14:37 - Guest's Film School Experience00:15:32 - Guest's Experience in Film School00:18:15 - Guest's Post-School Experiences and Projects00:20:29 - Guest's Previous Education in Telecommunications and Engineering00:26:51 - Guest's View on Education Systems00:27:41 - Guest's Approach to Problem Solving in Filmmaking00:31:12 - Guest's Practical Approach to Filmmaking00:33:25 - Guest's Views on Director's Role in Filmmaking00:36:00 - Guest's Learning Experience in Film School00:37:25 - Guest's Approach to Learning Multiple Roles in Filmmaking00:39:22 - Guest's Frustration with the Movie Industry00:39:33 - Guest's Experience in Music Videos00:41:25 - Origin of 'This is What New Yorkers Say' Project00:46:39 - Guest's Experience with Netflix and Theaters00:52:15 - Guest's Interaction with Dario Gento00:56:10 - Guest's Frustration with COVID and Politics00:59:06 - Guest's Aspiration to Improve Society01:02:09 - Guest's Frustration with Theatre Management01:02:16 - Guest's Experience with Business and Theatre Reopening01:02:30 - Guest's Experience with Workplace Politics01:03:05 - Guest's Views on Safety in Theatres01:06:49 - Guest's Decision to Move to Albany01:08:55 - Guest's Views on Cancel Culture and Offense01:10:40 - Guest's Experience with Workplace Complaints01:14:20 - Guest's Views on Due Process and Weaponization of Offense01:15:25 - Guest's Experience with Filming Documentary01:16:28 - Guest's Views on Society's Fickle Affection01:17:35 - Guest's Experience with Social Media and Its Influence01:18:40 - Guest's Views on Social Media Algorithms and Content01:19:16 - Origin of the Cuomo Documentary Project01:22:01 - Guest's Views on Political Movements and Questioning01:24:50 - Guest's Experience with Content Promotion and Platform Bias01:26:21 - Guest's Experience with Documentary Production and Challenges01:27:36 - Guest's Views on the Importance of Policy in Politics01:30:37 - Guest's Experience with Workplace Politics in Filmmaking01:32:43 - Challenges and Threats During Documentary Production01:34:20 - Dealing with Legal Threats and Bullying01:36:00 - Last Minute Changes and Meeting Deadlines01:36:48 - Dealing with Financial Constraints and Legal Issues01:37:17 - Experiences with Bullies and Legal System01:39:27 - Documentary Screening and Unexpected Challenges01:40:06 - Facing Accusations and Defending Ownership01:43:36 - Aftermath of the Documentary and Dealing with Fame Seekers01:43:46 - Facing False Claims and Media Manipulation01:44:18 - Reflections on the Movie Industry and Unfinished Projects01:44:27 - Experiences with Donation Scams and Misrepresentation01:48:02 - Challenges in Editing and Legal Review01:49:56 - Experience with Distributors and Aggregators01:52:47 - Experience with Subtitles and Closed Captioning01:57:19 - Future Aspirations and Current Focus01:59:11 - Personal Routines and Interests02:03:46 - Closing Remarks and Contact Information

In this kickoff episode of the Behind the Knife Global Surgery Series, we dive into what global surgery really means—and why it matters to all of us. Five billion people lack access to safe, timely, and affordable surgical care. Our guest, Dr. Juan Carlos Puyana, shares powerful insights on redefining global surgery, building meaningful collaborations, and why surgeons in high-resource countries should care deeply about this work. If you want to broaden your vision of surgery, challenge assumptions, and hear stories that connect operating rooms from South Carolina to South Africa, this is an episode you won't want to miss. Hosts/Guest: Mike M. Mallah, MD, FACS, FICS Director of Global Surgery at Medical University of South Carolina @MikeMMallahMD @MUSCGlobalSurg mallahm@musc.edu Juan Carlos Puyana, MD, FACS O'Brian Chair of Global Surgery at the Royal College of Surgeons Ireland @jcpuyanamd @RCSI_GlobalSurg Learning objectives: Define global surgery and explain how its meaning has evolved to highlight disparities in access to safe, timely, and affordable surgical care worldwide. Recognize the value of global surgery engagement for trainees and surgeons in high-resource settings, including broadening perspectives and fostering humility. Identify principles of ethical collaboration in global surgery, using real-world examples of partnerships built on trust, mutual respect, and shared goals. Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more.   If you liked this episode, check out our recent episodes here: https://behindtheknife.org/listen Behind the Knife Premium: General Surgery Oral Board Review Course: https://behindtheknife.org/premium/general-surgery-oral-board-review Trauma Surgery Video Atlas: https://behindtheknife.org/premium/trauma-surgery-video-atlas Dominate Surgery: A High-Yield Guide to Your Surgery Clerkship: https://behindtheknife.org/premium/dominate-surgery-a-high-yield-guide-to-your-surgery-clerkship Dominate Surgery for APPs: A High-Yield Guide to Your Surgery Rotation: https://behindtheknife.org/premium/dominate-surgery-for-apps-a-high-yield-guide-to-your-surgery-rotation Vascular Surgery Oral Board Review Course: https://behindtheknife.org/premium/vascular-surgery-oral-board-audio-review Colorectal Surgery Oral Board Review Course: https://behindtheknife.org/premium/colorectal-surgery-oral-board-audio-review Surgical Oncology Oral Board Review Course: https://behindtheknife.org/premium/surgical-oncology-oral-board-audio-review Cardiothoracic Oral Board Review Course: https://behindtheknife.org/premium/cardiothoracic-surgery-oral-board-audio-review Download our App: Apple App Store: https://apps.apple.com/us/app/behind-the-knife/id1672420049 Android/Google Play: https://play.google.com/store/apps/details?id=com.btk.app&hl=en_US

Contact us. We'd love to serve youGive financially to support the work of helping pastors thriveWrite a review on Apple Podcasts or Spotify Resources(04:05) Setting the Context (07:28) Biblical Foundations (10:42) Internal Pressures on Pastors (13:22) Understanding Congregational Dynamics (18:36) External Pressures (21:14) Rooting Out Fear of Man (28:51) Pastoral Advice for Future Crises (33:24) Practical Approach to Addressing Sensitive Topics (35:12) Closing Prayer

Contact us. We'd love to serve youGive financially to support the work of helping pastors thriveWrite a review on Apple Podcasts or Spotify Resources(04:05) Setting the Context (07:28) Biblical Foundations (10:42) Internal Pressures on Pastors (13:22) Understanding Congregational Dynamics (18:36) External Pressures (21:14) Rooting Out Fear of Man (28:51) Pastoral Advice for Future Crises (33:24) Practical Approach to Addressing Sensitive Topics (35:12) Closing Prayer

In this episode of The Future of Fitness, host Eric Malzone sits down with Evelyn Webster, CEO of SoulCycle, to explore the shifting dynamics of fitness and wellness in a post-pandemic world and how evolving consumer behavior is shaping the industry's future. Evelyn shares how SoulCycle is redefining wellness beyond the bike, embracing experiential spending, and strengthening its emotional connection with riders to build lasting loyalty. She dives into the brand's innovative use of AI and technology to personalize the customer journey—such as matching riders with instructors who play their favorite music, a strategy that has doubled new customer retention. The conversation also highlights SoulCycle's brand strategy, the importance of investing in talent, expanding into retail beyond apparel, and forming strategic partnerships to reach new audiences. With a strong emphasis on a test-and-learn mindset, Evelyn offers valuable insights on driving growth, enhancing customer experience, and staying relevant in a rapidly changing wellness landscape. https://goteamup.com/  https://podcastcollective.io/   https://egym.com/int 

Send me a one-way text about this episode! I'll give you a shout out or answer your question on a future episode.Inspired by our Deep Dive into Creating a Learning Environment in the Home with Lyndsey Mimnagh, I am continuing a series of short episodes to give you ideas for pursing Homemaker Culture, that is, filling your own soul with experiences that promote awe, wonder and an appreciation for beauty in the world around you. We've already discussed Cultivating a Creative Life and a Cultivating a Nature- Saturated Life. Today we will discuss cultivating an artful life.In This EpisodeWhy Study the Arts?How to Study the Arts; A Practical Approach to Art, Music & Poetry StudyA Biblical for An Artful LifeNotes & LinksCompanion Blog Post for this Episode-includes all links, Printable Guide for Fine Art StudyMentioned in this Episode:Getting to Know the World's Greatest Artists by Mike VeneziaGetting to Know the World's Greatest Composers by Mike VeneziaPhilippians 4:8RC Sproul, "The Christian and Art," April 28, 2009, Ligonier.orgSupport the showHOMEMAKING RESOURCES Private Facebook Group, Homemaker Forum Newsletter Archive JR Miller's Homemaking Study Guide SUPPORT & CONNECT Review | Love The Podcast Contact | Voicemail |Instagram | Facebook | Website | Email Follow | Follow The Podcast Support | theartofhomepodcast.com/support

CME credits: 0.25 Valid until: 22-07-2026 Claim your CME credit at https://reachmd.com/programs/cme/optimize-outcomes-in-ckd-t2d-a-practical-approach-to-initiating-and-monitoring-combination-ns-mra-sglt2i-therapy/29904/ The CONFIDENCE trial shows that combining an SGLT2 inhibitor with finerenone cuts albuminuria by more than 50% in patients with chronic kidney disease and type 2 diabetes. In this video, 2 nephrologists discuss how they apply these insights in clinical practice. A compelling real-world case highlights the power of 4-pillar therapy to optimize cardio-renal outcomes. Tune in to see how modern treatment strategies are transforming patient care. =

CME credits: 0.25 Valid until: 22-07-2026 Claim your CME credit at https://reachmd.com/programs/cme/optimize-outcomes-in-ckd-t2d-a-practical-approach-to-initiating-and-monitoring-combination-ns-mra-sglt2i-therapy/29904/ The CONFIDENCE trial shows that combining an SGLT2 inhibitor with finerenone cuts albuminuria by more than 50% in patients with chronic kidney disease and type 2 diabetes. In this video, 2 nephrologists discuss how they apply these insights in clinical practice. A compelling real-world case highlights the power of 4-pillar therapy to optimize cardio-renal outcomes. Tune in to see how modern treatment strategies are transforming patient care. =

Early detection is key in preventing parasites invading shellfish. Andrew Davinack, assistant professor of biology at Wheaton College in Massachusetts, takes a practical approach to doing so. I am an aquatic biologist with a strong focus on invasive invertebrates and the parasites which infect them. In particular, I am interested in understanding how human activities […]

In this archive episode, Carole Joy Seid reflects on the remarkable wisdom of Dorothy Moore, wife of Dr. Raymond Moore, two pioneers often referred to as the grandparents of American homeschooling. Carole shares Dorothy's practical strategies—like building a strong daily routine and focusing young learners on Bible, nature, and hands-on work—became the foundation to her own approach as a homeschool mentor. You will hear stories of Dorothy's discipline, frugality, Christian faith, and quiet confidence. Book recommendations and fun stories are also included!For a list of books mentioned in this episode, click here!RESOURCES+Build Your Family's Library: Grab our FREE book list here+Get our FREE ebook: 5 Essential Parts of a Great Education.+Attend one of our upcoming seminars this year!+Click HERE for more information about consulting with Carole Joy Seid!CONNECTHomeschool Made Simple | Website | Seminars | Instagram | Facebook | PinterestMentioned in this episode: Franklin, TN Seminar is August 2, 2025The Year's SeminarsEarly Education BundleLay a firm foundation for raising children for the kingdom of God!Early Education BundleTry CTC Math- Click here for 50% offTry CTCMath-50% off!

Kgomotso converses with Johan Botes, Partner and Head of Employment & Compensation at Baker McKenzie in Johannesburg, about use of medical certificates in a disciplinary proceeding. The Aubrey Masango Show is presented by late night radio broadcaster Aubrey Masango. Aubrey hosts in-depth interviews on controversial political issues and chats to experts offering life advice and guidance in areas of psychology, personal finance and more. All Aubrey’s interviews are podcasted for you to catch-up and listen. Thank you for listening to this podcast from The Aubrey Masango Show. Listen live on weekdays between 20:00 and 24:00 (SA Time) to The Aubrey Masango Show broadcast on 702 https://buff.ly/gk3y0Kj and on CapeTalk between 20:00 and 21:00 (SA Time) https://buff.ly/NnFM3Nk Find out more about the show here https://buff.ly/lzyKCv0 and get all the catch-up podcasts https://buff.ly/rT6znsn Subscribe to the 702 and CapeTalk Daily and Weekly Newsletters https://buff.ly/v5mfet Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567See omnystudio.com/listener for privacy information.

Welcome to another episode of Selfless Parenting – where we believe parenting is not just about raising kids but growing with them !! Today, we're joined by a Special guest — Satish Kshirsagar [ Founder and Parenting Coach- Ulti-Mate Parenting App ] who's here to talk about a powerful tool that can truly transform the way you connect with your child. This amazing app is your one-stop solution to bond better through simple, effective activities designed to make parenting more joyful and connected. Let's dive into this conversation that promises to change the way you spend time with your children — not more, but better

Why do some people experience same-sex attraction—and how should faithful Christians respond? In this episode of the Dr. J Show, clinical sexologist Floyd Godfrey draws on decades of experience counseling clients who experience same-sex attraction and want to live lives of chastity and integrity.   Dr. Godfrey discusses how trauma, emotional wounds, and unmet developmental needs can shape sexual desires. He explains the difference between a person's feelings and their identity, and how healing involves both psychological insight and spiritual maturity. Rather than pushing an agenda, he walks us through how real change happens—with honesty, accountability, and deep human connection.   This conversation pushes back on the cultural narrative that says "once gay, always gay," and raises serious questions about efforts to ban talk therapy for those who seek it. If you're a parent, pastor, counselor, or simply someone concerned about the truth and the well-being of others, you won't want to miss this important episode.   Subscribe to our newsletter to get this amazing report: Refuting the Top 5 Gay Myths https://ruthinstitute.org/refute-the-top-five-myths/   Have a question or a comment? Leave it in the comments, and we'll get back to you!   00:00 - Introduction 00:07 - The Healing and Recovery Workbook 04:12 - Understanding Same-Sex Attraction and Therapy 06:42 - Navigating Therapy for Minors 14:10 - The Debate on Conversion Therapy 18:04 - Challenges with Professional Licensing 26:29 - Finding Hope Amidst Adversity 29:29 - Corruption of the Licensing Boards 40:05 - Where you can find Floyd Godfrey 41:15 - Words of Advice   Floyd Godfrey, Ph.D., is a Clinical Sexologist, Licensed Professional Counselor, and Certified Sex Addiction Specialist Supervisor with over 20 years of experience in the field of mental health and human sexuality. He holds advanced degrees from Arizona State University, Ottawa University, and the International Institute for Clinical Sexology. Dr. Godfrey specializes in working with men and adolescents navigating issues related to same-sex attraction, sexual addiction, and identity development.   He previously led a national faith-based ministry for men seeking sexual integrity, and has trained therapists, clergy, and parents in offering compassionate and ethical care. Known for integrating scientific understanding with a Christian worldview, Dr. Godfrey also works as a mental health consultant and educator. He brings both clinical depth and pastoral sensitivity to one of the most complex topics in our culture today.   Watch the full episode, uncensored, on Rumble: https://rumble.com/user/Theruthinstitute   Subscribe to our YouTube playlist:  @RuthInstitute  Follow us on Social Media: https://www.instagram.com/theruthinstitute https://twitter.com/RuthInstitute https://www.facebook.com/TheRuthInstitute/ https://theruthinstitute.locals.com/newsfeed   Press: NC Register: https://www.ncregister.com/author/jennifer-roback-morse Catholic Answers: https://www.catholic.com/profile/jennifer-roback-morse The Stream: https://stream.org/author/jennifer-roback-morse/ Crisis Magazine: https://crisismagazine.com/author/jennifer-roeback-morse   Father Sullins' Reports on Clergy Sexual Abuse: https://ruthinstitute.org/resource-centers/father-sullins-research/   Buy Dr. Morse's Books: The Sexual State: https://ruthinstitute.org/product/the-sexual-state-2/ Love and Economics: https://ruthinstitute.org/product/love-and-economics-it-takes-a-family-to-raise-a-village/ Smart Sex: https://ruthinstitute.org/product/smart-sex-finding-life-long-love-in-a-hook-up-world/ 101 Tips for a Happier Marriage: https://ruthinstitute.org/product/101-tips-for-a-happier-marriage/ 101 Tips for Marrying the Right Person: https://ruthinstitute.org/product/101-tips-for-marrying-the-right-person/   Listen to our podcast: Apple Podcasts - https://podcasts.apple.com/us/podcast/the-ruth-institute-podcast/id309797947 Spotify - https://open.spotify.com/show/1t7mWLRHjrCqNjsbH7zXv1   Subscribe to our newsletter to get this amazing report: Refuting the Top 5 Gay Myths https://ruthinstitute.org/refute-the-top-five-myths/   Get the full interview by joining us for exclusive, uncensored content on Locals: https://theruthinstitute.locals.com/support

In this episode with Tom Jesson, we discuss everything about sciatica. We explore:Definition of sciaticaWhat conditions might masquerade as sciaticaDiagnostic signs of sciaticaWant to learn more about sciatica from Tom?

This Memorial Day, we honor the heroes who fought for our freedoms, abroad and at home. During this holiday weekend, Arlington National Cemetery, our nation's honorable military burial ground, is traditionally widely visited by family members and fellow soldiers of the fallen. A new FOX Nation series takes a look at the men and women buried at Arlington who sacrificed so much for this country. FOX's Tonya J. Powers speaks with Mike Sarraille, retired U.S. Navy SEAL officer, host of 'The Unsung of Arlington' and author of 'The Everyday Warrior: A No-Hack, Practical Approach to Life,' about his new FOX Nation series, 'The Unsung of Arlington', about the untold stories of heroes buried in Arlington National Cemetery. Click Here⁠⁠ To Follow 'The FOX News Rundown: Evening Edition' Learn more about your ad choices. Visit podcastchoices.com/adchoices

This Memorial Day, we honor the heroes who fought for our freedoms, abroad and at home. During this holiday weekend, Arlington National Cemetery, our nation's honorable military burial ground, is traditionally widely visited by family members and fellow soldiers of the fallen. A new FOX Nation series takes a look at the men and women buried at Arlington who sacrificed so much for this country. FOX's Tonya J. Powers speaks with Mike Sarraille, retired U.S. Navy SEAL officer, host of 'The Unsung of Arlington' and author of 'The Everyday Warrior: A No-Hack, Practical Approach to Life,' about his new FOX Nation series, 'The Unsung of Arlington', about the untold stories of heroes buried in Arlington National Cemetery. Click Here⁠⁠ To Follow 'The FOX News Rundown: Evening Edition' Learn more about your ad choices. Visit podcastchoices.com/adchoices

This Memorial Day, we honor the heroes who fought for our freedoms, abroad and at home. During this holiday weekend, Arlington National Cemetery, our nation's honorable military burial ground, is traditionally widely visited by family members and fellow soldiers of the fallen. A new FOX Nation series takes a look at the men and women buried at Arlington who sacrificed so much for this country. FOX's Tonya J. Powers speaks with Mike Sarraille, retired U.S. Navy SEAL officer, host of 'The Unsung of Arlington' and author of 'The Everyday Warrior: A No-Hack, Practical Approach to Life,' about his new FOX Nation series, 'The Unsung of Arlington', about the untold stories of heroes buried in Arlington National Cemetery. Click Here⁠⁠ To Follow 'The FOX News Rundown: Evening Edition' Learn more about your ad choices. Visit podcastchoices.com/adchoices

If you're manufacturing products for the EU and wondering how to break into the UK post-Brexit, this episode is for you. Renaud Anjoran sits down with compliance expert Fredrik Grönkvist from ComplianceGate to demystify the increasingly divergent regulatory frameworks between the UK and the EU.   Show Sections 01:01 – Guest Introduction – Fredrik from ComplianceGate 02:06 – History of UK and EU Regulatory Alignment 03:06 – Brexit and the Unfolding Regulatory Chaos 05:00 – Brexit Formalization and Retained EU Law 06:39 – CE vs UKCA Marking and 2023–2024 Changes 08:01 – Northern Ireland vs Great Britain: Regulatory Differences 08:52 – Selling in Both the EU and UK: What Should Importers Do? 10:10 – Practical Approach to Compliance for Both Markets 21:02 – Should You Use CE and UKCA Together on Products? 24:55 – Final Thoughts and Wrap-Up   Related content... Contact Fredrik via his LinkedIn page Take a look at Compliancegate.com   Get in touch with us Connect with us on LinkedIn Contact us via Sofeast's contact page Subscribe to our YouTube channel Prefer Facebook? Check us out on FB Get in touch with us Connect with us on LinkedIn Contact us via Sofeast's contact page Subscribe to our YouTube channel Prefer Facebook? Check us out on FB

In this episode Eli provides some practical guidance on how to approach a conversation with a Mormon, what passages of the Bible are relevant to this engagement and how to be clear on the message.

Join host Dr. Lily Wang as she explores a practical approach to diagnosing orbital lesions based on anatomical compartments. This episode breaks down complex orbital anatomy into clear, actionable insights for radiologists at all levels.  Practical Approach to Orbital Lesions byAnatomic Compartments. Naves et al. RadioGraphics 2024;44(10):e240026. 

Dean Pleban and Liron Itzhakhi Allerhand explore what it really takes to move LLMs into production. They cover how to define clear requirements, prep data for RAG, engineer effective prompts, and evaluate model performance using concrete metrics. The conversation dives into managing sensitive data, avoiding leakage, and why crisp outputs and clear user intent matter. Plus: future trends like in-context learning and the decoupling of foundation models from vertical apps.Join our Discord community:https://discord.gg/tEYvqxwhah ---Timestamps:00:00 Introduction01:48 Phases of LLM Project Development03:32 Defining the Problem09:35 Data Preparation and Understanding23:59 Multimodal RAG26:28 Prompt Engineering & Model Selection27:58 Model Fine-tuning & Customization33:18 LLM as a Judge38:58 Evaluating Model Performance and Handling Hallucinations41:02 Using LLMs with sensitive data45:24 Other ideas for model evaluation and guardrails49:28 Recommendations for the audience➡️ Liron Itzhaki Allerhand on LinkedIn – https://www.linkedin.com/in/liron-izhaki-allerhand-16579b4/

This week on The Audit Podcast, we're joined by Rob Clark Jr., Chief Auditing and Compliance Officer at Howard University. In this episode, Rob breaks down the one skill that separates good auditors from great ones: communication. He pulls back the curtain on how he preps, practices, and performs, whether it's a team meeting, a presentation, or a high-stakes conversation. Be sure to connect with Rob on LinkedIn.   Also, be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   5:00 – Using ChatGPT to Learn About Cybersecurity 9:20 – Why Communication Skills Matter More Than Technical Know-How 15:30 – A Practical Approach to Building Confidence in Meetings 23:29 – How to Recover When a Presentation Doesn't Land 25:51 – Getting Started with Public Speaking 32:17 – How to Strengthen Your Presentation Skills 43:33 – Key Conversations Throughout the Audit Lifecycle 50:53 - Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.

✨ In this episode of Spirituality Now!, we sit down with Dr. Lisa Turner, founder of CETfreedom and bestselling author of Our Conscious Tipping Point. Lisa is a leading voice in spiritual awakening and humanity's conscious evolution. With a unique blend of academic expertise and deep spiritual training, she has helped thousands bridge the gap between the mystical and the practical—guiding them toward a more awakened, empowered life. Many seekers struggle to integrate spiritual awakening into their everyday lives. They may feel disconnected from their higher self or uncertain about how to make conscious evolution a practical, actionable journey. With this episode, you will learn:How to connect with your higher self using clear, actionable stepsThe role of consciousness in personal and collective evolutionHow to overcome obstacles that block spiritual growthThe science and spirituality behind awakeningTools for integrating higher awareness into daily decision-making & so much more. 

Subscribe to our channel: https://www.youtube.com/@optispanSign up for the Optispan Newsletter: https://www.optispan.life/Read or get your copy of Matt's Scientific American Article: https://www.scientificamerican.com/custom-media/healthspan/In this episode, Dr. Matt Kaeberlein reads and discusses his insightful article, "A Practical Approach to HealthSpan Medicine," featured in the Scientific American special issue "HealthSpan: The Science of Aging Well."Discover the future of healthcare focused on living well longer, not just living longer. This article delves into the principles of Health Span Medicine, a proactive approach prioritizing years lived in good health (healthspan) over sheer lifespan. Producers: Tara Mei, Nicholas ArapisVideo Editor: Jacob KeliikoaMore places to find us:Twitter: https://twitter.com/optispanpodcastTwitter: https://twitter.com/optispanTwitter: https://twitter.com/mkaeberleinLinkedin: https://www.linkedin.com/company/optispanInstagram: https://www.instagram.com/optispanpodcast/TikTok: https://www.tiktok.com/@optispanDISCLAIMER: The information provided on the Optispan podcast is intended solely for general educational purposes and is not meant to be, nor should it be construed as, personalized medical advice. No doctor-patient relationship is established by your use of this channel. The information and materials presented are for informational purposes only and are not a substitute for professional medical advice, diagnosis, or treatment. We strongly advise that you consult with a licensed healthcare professional for all matters concerning your health, especially before undertaking any changes based on content provided by this channel. The hosts and guests on this channel are not liable for any direct, indirect, or other damages or adverse effects that may arise from the application of the information discussed. Medical knowledge is constantly evolving; therefore, the information provided should be verified against current medical standards and practices.Hi, I'm Matt Kaeberlein. I spent the first few decades of my career doing scientific research into the biology of aging, trying to understand the finer details of how humans age in order to facilitate translational interventions that promote healthspan and improve quality of life. Now I want to take some of that knowledge out of the lab and into the hands of people who can really use it.On this podcast I talk about all things aging and healthspan, from supplements and nutrition to the latest discoveries in longevity research. My goal is to lift the veil on the geroscience and longevity world and help you apply what we know to your own personal health trajectory. I care about quality science and will always be honest about what I don't know. I hope you'll find these episodes helpful!

Cardiovascular disease is among the leading causes of death in the United States, which begs the question: How can we prevent heart disease before it's too late? Many medical professionals believe that lifestyle and diet are the best places to start . . . In this episode, we connect with Dr. Raj K. Anand, author of A Practical Approach to EKG Interpretation. In this book, Dr. Anand explores how both a healthy diet and mindfulness can prevent coronary heart disease. In addition to being an accomplished author, Dr. Arnand also served for 41 years at the University of Massachusetts Medical School and invented the “Thermo-Electric Angioplasty Catheter”. Join us as Dr. Anand talks about: What led him to write A Practical Approach to EKG Interpretation. The concepts within the book that are geared toward helping people's lifestyles. The importance of slowly shifting your diet. Which foods you should avoid eating. re you willing to do what it takes to build a healthy heart and mind? If so, Dr. Anand is certainly worth listening to! To learn more about Dr. Raj K. Anand and his approach to wellness, you can visit his website at rajkanand.com. Episode also available on Apple Podcast: http://apple.co/30PvU9C Boost Your Brainpower with 15% OFF!  Fuel your mind with BrainSupreme Supplements and unlock your full potential. Get 15% OFF your order now using this exclusive link: brainsupreme.co/discount/findinggenius Hurry—your brain deserves the best!

Step inside the mind of volleyball royalty as Karch Kiraly—widely considered the greatest volleyball player ever—reveals the hidden forces behind his extraordinary success. From beach dominance to Olympic gold, Kiraly pulls back the curtain on the mental battlefield where champions are truly made. The volleyball icon shares his most private techniques for mastering the voice inside your head—the same mental strategies that helped him perform flawlessly when millions were watching. Kiraly's journey from player to coach unfolds with surprising revelations about what truly matters in youth sports (hint: it's not what most parents think). His candid reflections on parenting, failure, and personal evolution offer a masterclass in how the lessons from elite athletics translate into exceptional living. This isn't just a conversation about volleyball—it's a roadmap for anyone seeking to perform at their highest level, whether on the court or in life's most challenging moments. SPONSORS STEMREGEN Sport: Reduced soreness, better recovery, and real support for my body's natural repair process. Go to Stemregen.co and use code GABBY20 for 20% off CHAPTERS 00:00 The Early Years: Foundations of a Champion 02:47 Mastering Mindset: The Key to Success 05:59 The Role of Team Dynamics in Performance 08:56 Overcoming Challenges: The Power of Resilience 12:03 The Influence of Coaching and Parenting 14:48 Navigating Pressure: Expectations vs. Reality 18:01 The Importance of Self-Talk and Mental Cues 21:11 Life Lessons from Sports: Parenting and Beyond 38:40 Exploring New Sports and Life Lessons 41:03 The Role of Parents in Youth Sports 42:33 The Importance of Variety in Sports 45:53 Coaching Through Challenges 49:10 Transitioning from Player to Coach 51:59 The Evolution of Volleyball and Personal Growth 01:01:03 The Journey from Player to Analyst 01:06:55 Coaching Philosophy and Life Lessons 01:11:54 The Rewarding Experience of Coaching 01:17:33 Coaching to Inspire: Balancing Performance and Burnout 01:21:45 The Longevity of an Athlete: Secrets to Sustaining Performance 01:26:21 Transitioning from Athlete to Coach: Navigating Identity and Purpose 01:30:43 Coaching Men vs. Women: Understanding Different Dynamics 01:44:06 Modern Challenges for Athletes: Navigating Pressure and Specialization For more Gabby: Instagram: https://www.instagram.com/gabbyreece/ TikTok: https://www.tiktok.com/@gabbyreeceofficial The Gabby Reece Show Podcast on Youtube: https://www.youtube.com/channel/UCeEINLNlGvIceFOP7aAZk5A KEYWORDS Karch Kiraly, volleyball, mindset, teamwork, resilience, coaching, parenting, pressure, self-talk, sports psychology, youth sports, coaching, volleyball, parenting, athlete development, sports variety, coaching philosophy, Olympic success, personal growth, sports challenges, coaching, athlete longevity, volleyball, burnout, transition, gender dynamics, modern athletes, performance, hydration, identity Learn more about your ad choices. Visit megaphone.fm/adchoices

Resurrecting America's Entrepreneurial Spirit: A Practical Approach for Creating Jobs by Joe Nicassio Amazon.com Employeeescapeplan.com Where Do Entrepreneurs Come From? Entrepreneurs are ordinary people, with a spirit of creativity. These people create commerce. When they are successful, they create JOBS. Every living person on this planet has the fibers of creativity, just like we all have muscle fibers. Every person on this planet has the capacity to be an entrepreneur. When we exercise our muscles, we get stronger, and if we don't, our muscles get weak, and atrophy. The same concept applies to our "business creation muscles." When we train our minds to create value, for the benefit of mankind, we become stronger entrepreneurs. When we fail to train our "business fibers," business stagnates, fewer jobs are created, and eventually, companies fold, and unemployment soars. At the time of this writing, most entrepreneurs emerge as a societal "aberration," because their Spirit is so strong, they are driven by clear purpose, a willingness to learn "whatever it takes", and overcome all environmental and psychological barriers. The thesis of this book is: In order to have a thriving capitalism tomorrow, we, as a nation, have an on-going vested interest in nurturing entrepreneurs today. The book is divided into 3 major sections. Section 1) Moving Our "Economic Mentality" From Employer-Reliance To Self-Reliance Section 2) Eliminating "Spirit Killers" & Replace Them With "Spirit Builders" Section 3) Prayerful Meditation To Build Your Personal Spirit, and Create The Conditions For Miracles To Manifest in Your Business This book is a unique approach to job creation. It is NOT about tax codes, economic policy, or regulations. It is about nurturing entrepreneurs at the grass roots level. This book will remind you that if you want a "dream job," you will need to create it for yourself. No one else is going to do it for you. If you own a business, if you want to start a business, or you are interested in education reform, you will find this book thought-provoking, insightful, and uniquely valuable. About the author Joe Nicassio (1961-present) was born in Los Angeles, California, he grew up in Alta Loma, California, then lived in Long Beach for 30 years. After his interest with technology, he became more interested in human nature, and obsessed with discovering "the truth" of business success. He has been a sought after marketing consultant, and named the "very best" copywriter in LA by Levine Communications Office. He currently is an offline marketing expert. He is active in his church. Joe practices Shotokan Karate to keep healthy.

Amy Hudson and Dr. James Fisher sit down with Matt Brzycki, a strength and health fitness expert with more than 41 years of experience as an administrator, instructor, and a coach. They discuss how to get stronger, train smarter, and see real results—without wasting time or risking injury. Tune in to hear the key principles of an effective workout, why full-body training accelerates progress, and why proper technique is the real secret to long-term success. Matt starts by sharing his journey to fitness and strength training--and the research that made him famous. According to Matt, any workout can work if it follows scientific principles. A solid program should be based on research, not fitness trends or influencer hype. Matt and Dr. Fisher talk about the benefits of keeping strength training simple. Overcomplicated routines discourage consistency. A well-designed program should be easy to follow, so you can focus on steady progress rather than unnecessary complexity. Matt breaks down the six essential elements of an effective resistance training program. Productivity – Your program should deliver results. Any program can work if it follows evidence-based principles. Stick to what research supports for optimal progress. Comprehensiveness – Train your entire body, not just the muscles that look good in the mirror. A balanced approach prevents imbalances and enhances overall strength. Practicality – Strength training shouldn't be complicated. Many trainers overcomplicate it, but an effective program is easy to understand and follow. Safety – Fear of injury keeps many people from lifting weights. A well-structured program minimizes risk and keeps you safe while building strength. Efficiency – Your workouts should be effective and time-conscious. Get in, train smart, and get out—no wasted time, just results. Sustainability – Can you stick with it long-term? A good program fits into your lifestyle without requiring hours in the gym. Spending more time in the gym doesn't mean better progress. A good program helps you get maximum results in the shortest time possible by focusing on what truly matters. Amy highlights a major muscle-building truth: Training multiple muscle groups at once triggers a better hormonal response. Full-body movements lead to more overall muscle growth than isolating one muscle at a time. Do muscles compete for growth? – Dr. Fisher explains why full-body training is superior to split routines. Matt highlights how leg training benefits your upper body. Your legs and hips contain the strongest muscles in your body. Strengthening them boosts overall power and even helps with upper-body muscle development. Amy's take on simplifying strength training. The easier and more accessible workouts are, the more people will do them. Overcomplication keeps people away. Why overcomplicated programs fail. For Matt, many fitness influencers and personal trainers add unnecessary steps to workouts, making them harder to follow. A straightforward, research-based approach leads to better results with less confusion. The stronger your muscles, bones, and joints are, the less likely you are to get injured. Matt highlights the key components of a safe workout: Avoid Overtraining – Many people do too many sets, train too often, or overload their exercises. A well-designed program should be moderate in frequency, efficient in duration, and comprehensive in targeting all muscle groups. Prioritize Good Technique – Lifting isn't just about moving weights up and down. According to Matt, proper technique should be tight, controlled, and precise to maximize gains and prevent injuries. Supervision – While not everyone can afford a personal trainer, having some form of guidance or oversight—whether from an experienced friend or workout partner—enhances safety and effectiveness. Train Efficiently – The goal isn't to spend more time in the gym but to get more from your time. Optimize your workouts by focusing on intensity and effectiveness, not just duration. Matt's biggest gym pet peeve--Cell phones kill focus and make workouts less effective. If you're texting or scrolling, you're not training with the intensity needed for real progress. Matt's thoughts on investing vs. spending gym time in the gym. Many people "spend" hours at the gym without real progress. The key is to "invest" time wisely by focusing on effective exercises instead of mindlessly going through the motions.     Mentioned in This Episode: The Exercise Coach - Get 2 Free Sessions! A Practical Approach to Strength Training by Matt Brzycki Maximize Your Training by Matt Brzycki     This podcast and blog are provided to you for entertainment and informational purposes only. By accessing either, you agree that neither constitute medical advice nor should they be substituted for professional medical advice or care. Use of this podcast or blog to treat any medical condition is strictly prohibited. Consult your physician for any medical condition you may be having. In no event will any podcast or blog hosts, guests, or contributors, Exercise Coach USA, LLC, Gymbot LLC, any subsidiaries or affiliates of same, or any of their respective directors, officers, employees, or agents, be responsible for any injury, loss, or damage to you or others due to any podcast or blog content.

David Reynold's, author of Constructive Living, has taken the philosophies of Morita Therapy and Naikan to create an approach to life by the same name. In this episode, Carly talks about the action side of CL, where instead of waiting to feel better before we take action, we do what needs to be done, despite how we feel. This is sound, practical advice for daily living.See omnystudio.com/listener for privacy information.

The function of mindfulness is to expose your own reactivity so that it's no longer unconscious so that you see it." - Stephen Schettini In this episode, Ana Melikian sits down with former Buddhist monk turned author, coach, and teacher, Stephen Schettini, to delve deep into the practice of mindfulness. Stephen, who spent eight years as a Buddhist monk, shares his journey and insights on how mindfulness is not about adopting Eastern traditions but recognizing it as a natural human function. Ana and Stephen explore how cultivating a mindfulness practice can introduce critical pauses between stimulus and response, allowing us to choose more intentional responses. They discuss the idea that every small step and consistent practice contribute to a greater transformative experience, much like gradually heating water until it boils. Stephen also talks about his approach to teaching mindfulness, emphasizing the need for regular practice and the invaluable micro moments of mindfulness in our daily lives. Join Ana and Stephen as they unpack the many layers of mindfulness and its profound impact on self-awareness and personal growth. Let's dive in! This week on the MINDSET ZONE: 00:00 Introduction to Mindfulness 00:31 Meet Our Host and Guest 01:49 The Concept of Wishful Thinking 03:00 Imagination and Ego 05:51 The Journey to Mindfulness 13:28 Hope and Expectations 17:30 The Practice of Mindfulness 23:59 Forgiveness and Persistence 28:38 Mindfulness Live Program 32:35 Conclusion and Resources Guest Stephen Schettini (pronounced skettini), known as “The Inner Monk,” is a former Buddhist monk and present-day mindfulness teacher. For Stephen, stress-reduction is just the beginning. His greater interest lies in the integration of traditional Buddhist insights with modern mindfulness practices. His goals are enhanced self-awareness, greater emotional intelligence and deep commitment to personal growth. Stephen's memoir is, "The Novice: How I Became a Buddhist Monk, Why I Quit and What I Learned," and his guide to mindful reflection is entitled “It Begins with Silence.” Currently residing outside Montreal with his wife, step-daughter, and two cats, Stephen continues to share his expertise and his stories with anyone who is committed to exploring and enhancing their inner self and their place in the world. Connect with Stephen Schettini: Schettini.com LInkedIn Profile Resources: Mindfulnesslive.ca Finding Your Inner Monk | Stephen Schettini | TEDx https://www.youtube.com/watch?v=rHh6BsBtVTQ Related Content: Decluttering Your Mind with Harriet Stein Expand What's Possible

Thanks to our Partners, NAPA TRACS, and Today's Class This episode covers the practical benefits of digital vehicle inspections (DVIs) for shop owners. Learn how DVIs can boost Average Repair Orders (ARO) and improve customer communication. Industry professionals share real-world insights on overcoming cultural resistance, the role of leadership, and strategies for successful implementation. Plus, explore how AI enhances inspection reports and processes. Whether you're new to DVIs or looking to optimize, this episode is packed with actionable tips to help your shop thrive. Ben Dexter, National Training Manager, NAPA TRACS Chris Cloutier, Golden Rule Auto Care and CEO of Autoflow. Charlie Pixley, Charlie's Car Car, Clearwater, FL Show Notes Watch Full Video Episode Introduction to Digital Vehicle Inspections (00:00:00) Challenges of Implementing DVI (00:03:03) Leadership and Accountability (00:04:07) Charlie's Experience with DVI (00:05:02) DVI Evolution and Adoption (00:06:25) Ben's Insights on Change (00:07:56) The Importance of KPIs (00:09:41) Battling Priorities in Shops (00:13:01) Improving DVI Processes (00:16:40) Customer Perspective on DVI (00:18:53) Challenges in DVI Implementation (00:19:45) Consumer Engagement with DVI (00:20:26) AI and Technology in DVI (00:21:18) Importance of Customer Complaints in DVI (00:22:36) Professionalism in DVI Communication (00:23:40) Learning from Industry Peers (00:25:21) Benefits of DVI for Sales Growth (00:26:38) Leadership Role in DVI Implementation (00:30:49) 300% Rule in DVI (00:33:03) Creating Habits for Change (00:35:44) Leadership and Accountability (00:36:36) Key Performance Indicators (00:41:21) Start Simple and Improve (00:42:07) Constant Correction and Praise (00:43:55) Thanks to our Partner, NAPA TRACS NAPA TRACS will move your shop into the SMS fast lane with onsite training and six days a week of support and local representation. Find NAPA TRACS on the Web at http://napatracs.com/ Thanks to our Partner, Today's Class Optimize training with Today's Class: In just 5 minutes daily, boost knowledge retention and improve team performance. Find Today's Class on the web at https://www.todaysclass.com/ Connect with the Podcast: -The Aftermarket Radio Network: https://aftermarketradionetwork.com -Follow on Facebook: https://www.facebook.com/RemarkableResultsRadioPodcast/ -Join Our Private Facebook Community: 

In this episode, we discussed the practical aspects of precision rifle shooting.  We also honor the life and service of fallen Austin SWAT Officer Jorge Pastore.https://www.jpastorefoundation.org/Daniel Jarecke:Daniel Jarecke is a professional long range shooter that has beencompeting professionally since 2017. He has 4 national championshipevent wins and 10 podium (top 3) finishes, and more than 15 state regionalwins. He is the sport's only consecutive 2-time winner of the Best in Texasnational AG Cup match. Daniel has extensive experience training lawenforcement sniper teams in and out of the state of Texas, has taught atnumerous basic and advanced sniper schools, and taught at the TTPOAconference as a sniper instructor in 2023 and 2024. He has also trainednumerous civilian long range competitive shooters and has developedstrategies based on hit percentages and probabilities that have helped himgain an advantage over his competition.Mike Castillo: Austin SWAT and former sniper Team Leader.

Struggling with sexual performance, low libido, or the effects of porn addiction? In this episode of the True Love Knots Podcast, Maria welcomes Matt Cook, who has helped over 80,000 men reclaim their sexual vitality and transform their relationships. Matt shares how early exposure to digital pornography is affecting men's confidence and intimacy and reveals how he overcame erectile dysfunction and health challenges to unlock his sexual energy. With proven techniques rooted in science, Matt offers practical insights to rebuild confidence, enhance intimacy, and reignite passion. If you're ready to reclaim your masculinity and unlock your full potential, tune in for empowering advice and strategies.   Standout Quotes: ·        “As men, especially, our sex drive—our libido—really, in a sense, determines our success and happiness in life to a great degree.” ·        “If you're conserving your sexual energy to meet a woman, and if you have a partner, it'll make your relationship better.” ·        “I think it helps a man build the power to take intelligent risks. To go out on a limb intelligently, let's say, to quit a high-paying job when he's got the skills to start a business and the courage to do that—the drive, the leadership.” ·        “I find that for men, they're better off getting away from video porn. If they're going to use porn, erotica is much less damaging to the brain and body.” ·        "Learning to focus on your root can change your perspective. You'll find that you start looking at things a lot differently. Everything becomes more colorful, better, and women can pick up on it." Key Takeaways: ·  Evaluate your relationship with pornography and consider transitioning to less damaging forms of erotica to preserve your sexual vitality. ·  Experiment with consciously relaxing your pelvic floor area during intimate moments, rather than focusing solely on the physical sensations. This can help you build your sexual energy without ejaculating as frequently. ·  Reflect on how your sex drive and libido may be impacting your overall success, happiness, and leadership qualities in life. Are there areas you could improve by optimizing your sexual health? ·  If you're experiencing sexual health issues due to medication side effects, have an open discussion with your doctor about alternative treatment options that won't compromise your intimate life. ·  Commit to a sustainable schedule for ejaculation, such as every 3-4 days, and observe how this affects your energy, focus, and connection with your partner (if applicable). Be patient and persistent as you rewire your brain's sexual pathways.   Episode Timeline: [00:02] Introducing Matt Cook [00:52] How Matt Cook Turned Personal Challenges Into Purpose [02:46] Why Sex Drive Shapes Men's Success and Happiness [04:43] Connecting Tantra Principles to Better Sexual Health [06:46] Breaking the Cycle of Porn and Health Issues in Men [07:49] Matt Cook's Practical Approach to Transforming ED [10:31] Benefits of Conserving Sexual Energy for Better Intimacy [13:10] How COVID Changed Relationships and Sexual Health [14:43] Matt's Own Story of Growth and Relationship Renewal [18:03] Tips and Resources for Elevating Men's Sexual Energy [21:33] Wrapping Up and Matt's Final Encouragement   Learn more about Matt Cook on his socials: Daily Medical Discoveries Website: https://www.dailymedicaldiscoveries.com/ Get your free book here: https://www.dailymedicaldiscoveries.com/subscribe/   Learn more about Maria Romano and True Love Knots at: Website: https://trueloveknots.com Email: maria@trueloveknots.com Phone: +1 702-501-4150

When college wasn't working out, Mike Sarraille decided to become a U.S. Marine when he became friends with a recon Marine and was impressed by his humble confidence. Saraille also become a recon Marine as well as a sniper. But a couple years later, after being encouraged to become an officer, he entered BUD/s training and became a U.S. Navy SEAL.In this edition of "Veterans Chronicles," LCDR Saraille shares his memories of serving with SEAL Team 3 in Iraq, including the brutl fight for Ramadi in 2005 and 2006. He tells the devastating, awe-inspiring story of fellow SEAL MIchael Mansour, who selflessly saved the rest of his men by falling on an enemy grenade while on a rooftop in Ramadi.He also explains the rigorous standards for advancing to DevGroup, his harrowing missions in Afghanistan, the horror of losing SEAL members on Extortion 17, and his time as a trainer back at BUD/s. Finally, Saraille discusses some of the key principles in his new book "The Everyday Warrior: A No Hack, Practical Approach to Life."

In this episode of Accessible Astrology, join Eugenia Krok as she delves into the profound world of rising signs and their impact on our personal and collective experiences. Featuring compelling insights from Laura, a Leo Rising, this discussion reveals why Leo is often misunderstood and offers a fresh perspective on self-acceptance and community support. Explore how understanding rising signs can foster unity, reduce shame, and enhance family dynamics. The episode also provides practical insights on integrating cardinal, fixed, and mutable modalities in astrology, dealing with grief, and leveraging planetary transits like Pluto and Saturn for personal growth. Embrace the empowering journey of living in harmony with natural cycles and discover the transformative power of collective consciousness within like-minded communities. This is your invitation to join our free online astrology community for exclusive live sessions and detailed courses.   00:00 Introduction to Accessible Astrology   00:52 Welcome to the Podcast   01:24 Understanding the Misunderstood Leo   02:34 The Core Curriculum and Leo's True Nature   05:53 Join Our Free Community   07:24 A Conversation with Laura   08:11 Discovering the Rising Sign Method   17:18 Impact on Personal Relationships   21:46 The Power of Cardinal, Fixed, and Mutable Signs   24:11 Embracing Individuality in Astrology   25:24 Understanding the Rising Sign Method   26:09 Pluto's Influence and Overcoming Fear   27:51 The Practical Approach to Astrology   32:01 The Power of the Natal Chart   36:36 Living in Harmony with Nature   39:36 The Concept of Sovereignty   43:34 The Importance of Community in Astrology   45:22 Conclusion and Personal Testimonials   Join our FREE Community: https://www.skool.com/accessibleastrology   -Weekly LIVE's with Eugenia Krok, MA -Daily Astrology Content -Interactions with Other Like-Minded Astrologers -A Classroom Packed with Continuing Education    Join us HERE: https://www.skool.com/accessibleastrology   Watch this Interview Here: https://www.youtube.com/watch?v=J2r2wZFtPLg    If you would like to be a guest on the Accessible Astrology Podcast and share the transformational journey you have had with Accessible Astrology and the Rising Sign Groups, please apply here: https://docs.google.com/forms/d/1HtLy0q-xZeIP-g4NF0kG1M2ypCIV6NyDEo2e2z2qG0s/edit

Pain, whether physical or emotional, can lead us to question God's goodness and presence in our lives. We might wonder, "Has God abandoned me?" or "Why is this happening to me?" These doubts can leave us feeling isolated from Him.  In this episode, I explore the false beliefs that can arise from pain, such as thinking it's a form of punishment or that we're unworthy of God's love. These distorted thoughts often keep us stuck in a cycle of guilt, shame, and self-punishment, but there is hope! Listen as I explain how to replace these lies with biblical truth, using both scripture and practical tools like cognitive behavioral therapy (CBT) to reframe our thoughts and reconnect with God. Rooting for you, Jessica Next steps: Get my free 3-day study and learn how to deal with your emotions in a biblical way: https://www.jessicahottle.com/3-day-study/ Learn more about working with me 1:1 as your mental health coach: https://www.jessicahottle.com/mental-health-coaching Or book your free 20-minute consultation here! Check out my biblical studies: https://www.jessicahottle.com/shop Work with me in my Untangle Your Thoughts program: https://www.jessicahottle.com/heal Email me at >> jessica@jessicahottle.com The information shared in this podcast is for educational and informational purposes only and is not intended as medical or clinical advice. While we discuss mental health topics, this is not a substitute for professional care. Please consult with a qualified healthcare provider for advice specific to your situation.

In this solo episode of the Always Hope Podcast, I dive into a question I often hear: "When should I seek counseling, and when is it time to consider medication?" As a licensed marriage and family therapist with over 20 years of experience, I want to provide you with practical guidance on this important topic. We'll explore the differences between depression and anxiety, how to recognize when you're feeling "stuck," and what it means to draw on your natural resources like community support, exercise, and prayer. But what happens when those aren't enough? I'll walk you through the benefits of professional counseling and how medication can play a role in your healing journey—without being the whole answer. If you've ever wondered if it's time to take that next step in caring for your mental health or just need a bit of hope and encouragement, this episode is for you. Tune in, and let's tackle these challenges together with faith, wisdom, and a balanced approach to finding peace. Buy Overcoming Stress and Anxiety: www.goodcatholic.com/product/overcoming-stress-and-anxiety/ Use coupon code Sacasa25 to get 25% off!   See the links below to offer financial assistance: Diocese of Charlotte Catholic Charities Hurricane Helen Donations Page Diocese of St. Petersburg Hurricane Relief Fund   To catch up on previous audio-only episodes click on the links below: Apple Podcasts: https://podcasts.apple.com/us/podcast/always-hope/id1437447070 Spotify: https://open.spotify.com/show/1EfQGHAQLHkQcmHeWjlCJF?si=6e6199090a0b4f0c   Not sure how to start a conversation with a someone you find attractive? Download my free Dating Toolkit at www.drmariosacasa.com   Follow me on the socials: Instagram: www.instagram.com/drmariosacasa Facebook: www.facebook.com/drmariosacasa   Full Courses: Dating Well: www.drmariosacasa/datingwell Overcoming Stress and Anxiety: www.goodcatholic.com/product/overcoming-stress-and-anxiety/   The content of Always Hope is for purely educational reasons and is not meant as a substitute for proper diagnosis and/or professional counseling. If you need psychological or counseling services, please contact a trusted therapist for assistance.  

Snag Our Simplified Budget System! In today's episode, we react to a call Dusty made on The Ramsey Show, seeking advice about building a home on his family's land. Dusty was met with some tough love from Dave Ramsey, but we have our own perspective on the situation! We unpack what Dusty's real question was—how to build the house while staying financially stable—and highlight how the advice given missed the mark. We discuss the importance of personalizing financial decisions to fit your unique situation, and how every budget needs to reflect your specific dreams and goals. We also explore the idea of multi-generational living, something that's close to many hearts, and how you can make it work financially without losing sight of family values. This episode is all about speaking life over your financial journey and encouraging you to make choices that align with your dreams, even if they look different from mainstream advice. Dusty's call was a reminder that your budget is yours—no one-size-fits-all approach works when it comes to building your financial future. It's YOUR Journey: Budgeting isn't one-size-fits-all. What worked for Dave might not be the right move for Dusty or YOU. Multi-Generational Living: A dream for many families! Shana and Vanessa share their take on making it work your way—financially stable and family-focused. Financial Flexibility: Sometimes it's okay to go against the "rules" if it helps you live the life you want. Your budget should help you build your dreams, not box you in. Key Takeaways:The Power of Encouragement: Speak life into your financial journey. Harshness won't get you to your goals; encouragement and clarity will. 4 Ways To Connect With Us: 1️⃣ FREE CALL: Book your FREE 20-Minute Financial Coaching Call now! Get personalized advice and start your financial journey ➡︎ https://www.budgetbesties.com/freecall  2️⃣ FACEBOOK: Become part of our Supportive Facebook Group. Connect, share, and learn with others mastering their budget skills ➡︎ https://www.budgetbesties.com/facebook  3️⃣ BUDGET: Grab our Signature Budget Template! It's your key to organizing and optimizing your finances effectively ➡︎ https://budgetbesties.com/budget  4️⃣ COACHING: Ready to dive deep into your finances? Sign up for 1-on-1 or Group Financial Coaching. It's the accountability and guidance you need to make real progress ➡︎ https://budgetbesties.com/coaching  "I love Shana & Vanessa and this podcast is amazing!" < If that sounds like you, please consider rating and reviewing our show! It helps us to reach more people – just like you – to help them change their financial future. Don't forget to follow the show so you don't miss any episodes! And, if you're feeling really generous, we'd be SO honored if you would share this podcast with someone.  Click here to view our privacy policy. This description may contain affiliate links, meaning we may get a commission at no cost to you if you click & purchase!  

In episode 1073 Mark Bell, Nsima Inyang, and Andrew Zaragoza talk about how to approach fasting to minimize muscle loss.   Official Power Project Website: https://powerproject.live Join The Power Project Discord: https://discord.gg/yYzthQX5qN Subscribe to the Power Project Clips Channel: https://youtube.com/channel/UC5Df31rlDXm0EJAcKsq1SUw   Special perks for our listeners below!