Podcasts about Golden Gate Bridge

In this one, I talk to journalist Paul Koberstein, whose recent book, “Canopy of Titans,” explores one of the most overlooked ecosystems on Earth: the Pacific Coastal Temperate Rainforest. Stretching roughly 2,500 miles from just north of San Francisco's Golden Gate Bridge to the western Gulf of Alaska, it's the largest temperate rainforest on the planet. Fueled by Pacific storms and cool ocean currents, it supports towering redwoods, Sitka spruce, western hemlock, and cedar — some of the largest and oldest trees in existence. Acre for acre, these forests store more carbon than tropical rainforests like the Amazon, with vast reserves locked in massive trunks, deep soils, roots, and centuries of accumulated woody debris. But even though it's one of the most carbon-dense ecosystems we have, and a critical buffer against climate change, it remains largely overlooked in global climate conversations. Paul pushes back on some of the most common narratives about forests and climate. He points to those industry ads that promise for every tree cut down, three more will be planted. It's an argument that sounds reassuring until you realize a young sapling can take a century to store the amount of carbon held in the massive tree that was felled. Trees are about 50 percent carbon. Through photosynthesis they pull carbon dioxide out of the air, lock that carbon into their trunks and roots, and release the oxygen we breathe. Southeast Alaska's Tongass National Forest alone holds more total carbon than any national forest in the country. That scale of storage is central to Paul's point: the science doesn't say we're powerless. It suggests that we can still influence the climate back toward something more stable. If fossil fuels loaded the atmosphere with excess carbon, then forests, if protected and restored, can help draw it back down. Forests have stabilized the climate for thousands and thousands of years. Whether they continue to do so depends largely on us letting them do their job.

Paul Koberstein is a journalist, whose recent book, “Canopy of Titans,” explores one of the most overlooked ecosystems on Earth: the Pacific Coastal Temperate Rainforest. Stretching roughly 2,500 miles from just north of San Francisco's Golden Gate Bridge to the western Gulf of Alaska, it's the largest temperate rainforest on the planet. Fueled by Pacific storms and cool ocean currents, it supports towering redwoods, Sitka spruce, western hemlock, and cedar — some of the largest and oldest trees in existence. Acre for acre, these forests store more carbon than tropical rainforests like the Amazon, with vast reserves locked in massive trunks, deep soils, roots, and centuries of accumulated woody debris. But even though it's one of the most carbon-dense ecosystems we have, and a critical buffer against climate change, it remains largely overlooked in global climate conversations. Paul pushes back on some of the most common narratives about forests and climate. He points to those industry ads that promise for every tree cut down, three more will be planted. It's an argument that sounds reassuring until you realize a young sapling can take a century to store the amount of carbon held in the massive tree that was felled. Trees are about 50 percent carbon. Through photosynthesis they pull carbon dioxide out of the air, lock that carbon into their trunks and roots, and release the oxygen we breathe. Southeast Alaska's Tongass National Forest alone holds more total carbon than any national forest in the country. That scale of storage is central to Paul's point: the science doesn't say we're powerless. It suggests that we can still influence the climate back toward something more stable. If fossil fuels loaded the atmosphere with excess carbon, then forests, if protected and restored, can help draw it back down. Forests have stabilized the climate for thousands and thousands of years. Whether they continue to do so depends largely on us letting them do their job.

Redesigning one of the world's most-used apps is no small feat, especially when that app is also the second largest search engine in the world: YouTube. Over the last four years, Nate Koechly, UX Director at YouTube, and Matthew Darby, Director of Product Management, have been leading an ambitious effort to balance Google's metrics-driven culture with the subjective challenge of making an app feel “modern.” Visit our Substack for bonus content and more: https://designbetterpodcast.com/p/nate-koechly-and-matthew-darby In our conversation, Nate and Matt share how they developed predictive measurement tools to gauge user perception, why they pair visual updates with quality-of-life features like comment threading and improved video controls, and how their research process has evolved from measuring clicks to understanding satisfied watch time. We also dig into one of YouTube's most complex challenges: the algorithm. As Nate and Matt explain, what users say they want doesn't always match what actually makes them happy on the platform. They also discuss their work exploring ways to give viewers more agency and control, including the possibility of using natural language to tune your feed. Both guests have a genuine passion for how YouTube enables deep expertise and niche interests to find their audiences—from 3D models of the Golden Gate Bridge to forest fire education from Northern California lookouts. Behind the algorithms and design updates is a platform where, as Nate puts it, “when you give people a voice, the things they say are just inspiring.” *** Premium Episodes on Design Better This ad-supported episode is available to everyone. If you'd like to hear it ad-free, upgrade to our premium subscription, where you'll get an additional 2 ad-free episodes per month (4 total). Premium subscribers also get access to the documentary Design Disruptors and our growing library of books: You'll also get access to our monthly AMAs with former guests, ad-free episodes, discounts and early access to workshops, and our monthly newsletter The Brief that compiles salient insights, quotes, readings, and creative processes uncovered in the show. And subscribers at the annual level now get access to the Design Better Toolkit, which gets you major discounts and free access to tools and courses that will help you unlock new skills, make your workflow more efficient, and take your creativity further. Upgrade to paid *** If you're interested in sponsoring the show, please contact us at: sponsors@thecuriositydepartment.com If you'd like to submit a guest idea, please contact us at: contact@thecuriositydepartment.com

Werden Sie JETZT Abonnent unserer Digitalzeitung Weltwoche Deutschland. Nur EUR 5.- im ersten Monat. https://weltwoche.de/abonnemente/Aktuelle Ausgabe von Weltwoche Deutschland: https://weltwoche.de/aktuelle-ausgabe/KOSTENLOS: Täglicher Newsletter https://weltwoche.de/newsletter/App Weltwoche Deutschland http://tosto.re/weltwochedeutschlandDie Weltwoche: Das ist die andere Sicht! Unabhängig, kritisch, gut gelaunt. Köppel in Kalifornien: Die Golden Gate Bridge und eine kleine Hymne auf San Francisco.Die Weltwoche auf Social Media:Instagram: https://www.instagram.com/weltwoche/ Twitter: https://twitter.com/Weltwoche TikTok: https://www.tiktok.com/@weltwoche Telegram: https://t.me/Die_Weltwoche Facebook: https://www.facebook.com/weltwoche Hosted on Acast. See acast.com/privacy for more information.

Welcome to the Gnar Couch Podshow, where mountain bikes, questionable humor, and barely functioning attention spans all pile onto a metaphorical homeless couch and roll down a metaphorical hill. This week, we're joined by San Francisco legend and urban bike ninja Teddy Hayden, whose riding and viral videos have gotten him more attention from the Forest Service than Rob's last attempt at a show intro (which, let's be real, went about as well as a beer spill in Cheef's lap). We dig in on Teddy's infamous $50,000 fine for shredding cliffs near the Golden Gate Bridge, the ongoing war between mountain bikers and government trail cops (spoiler: none of it could've just been an email), and a surprisingly passionate debate about which bike components we could live without (dropper posts and seats—are you brave enough?). There's also a deep investigation into the true nutritional value of "pussy is low-carb," a couple wiener jokes, and the classic Gnar Couch running gag: Rob forgetting to wrap up the show and the eternal confusion about who's actually supposed to write those episode descriptions. If you're here for serious bike technique or clean comedy, you're outta luck. But if you want stories about human poop on trails, debates about Trader Joe's ravioli, and a group of barely-adult hosts breaking down the finer points of mountain bike culture (with a little self-deprecating banter and bathroom humor), this episode is for you. Strap in, get ready to laugh at our expense, and prepare for at least one beer spill, a few botched intros, and possibly a confession or two that should never see daylight. Guest info: Teddy Hayden Check out our store for sick shirts. Got to our Patreon and give us money. We've added old episodes, downloadable songs, and give you early access to raw, uncut shows for only $4.20/month. We all ride TRP brakes. They're the best. Buy some. Thanks to crankbrothers and Hyland Cyclery for always keeping the bikes running. Get 30% off BLIZ sunglasses and more with the code "sponchesmom".  

Broadcast live from a quaint spot in Tiburon overlooking the Golden Gate Bridge, Scott Hennen brings the energy of Super Bowl week to the airwaves. This episode is a masterclass in bridging the gap between North Dakota common sense and Silicon Valley innovation. Scott explores how the "ecosystem" of the Bay Area—built on solving problems and embracing failure—could be the key to unlocking North Dakota's potential as the "Silicon Valley of the Midwest." The show features a heavy-hitting lineup, including Senator Kevin Cramer, who addresses the heated "Town Hall" questions on everything from VA backlogs and DHS funding to the classy influence of Melania Trump. Later, NFL Hall of Famer Phil Hanson joins to talk Bison pride, the chaos of the transfer portal, and the "journeyman" magic of Sam Darnold. Whether you're here for the "Radio Graffiti" rants or the high-level investment talk, this episode captures the "art of the possible" from North Dakota to San Francisco. Episode Highlights [00:03:00] The "Town Hall" with Senator Kevin Cramer Senator Cramer weighs in on the political theater surrounding the DHS funding bill and responds to criticisms from former Senator Kent Conrad. He also discusses the "quiet confidence" of Melania Trump and her influence on the President. [00:06:45] Appropriation Battles and Rand Paul A deep dive into the practical side of D.C. politics. Cramer explains why he voted for certain appropriations bills and the nuances of working with "DOGE" cuts while maintaining the President's signature tax policies. [00:09:00] Veteran Affairs: Benefit of the Doubt? A powerful exchange with a local veteran leads to a discussion on cutting VA backlogs, reducing administrative bureaucracy, and the potential for non-traditional treatments like Hyperbaric Oxygen Therapy. [00:17:00] Bison on the Big Stage: Phil Hanson Buffalo Bills Hall of Famer Phil Hanson breaks down why he's rooting for a "Seattle slant" this Super Bowl. He praises the rookie success of Gray Zabel and the grit of the Bison offensive line in the NFL. [00:19:00] The NIL and Transfer Portal "Mess" Hanson and Hennen get real about the "college free agency" landscape. They discuss the impact of agents on locker room dynamics and why the "genie is out of the bottle" for the future of college football. [00:27:00] Unlocking Potential: TNT Kids Fitness As Giving Hearts Day approaches, Sammy Schofield explains how TNT Kids Fitness uses gymnastics and movement to unlock the potential of every child, regardless of ability…

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

In this podcast, Greg Voisen sits down with world-renowned scholar and "founding member" of the show, Stephen G. Post, for a profound exploration of his latest work, Pure, Unlimited Love. Imagine a reality where the security and well-being of another is as real to you as your own—a concept so powerful it prompted the 92-year-old Dalai Lama to break his hiatus on writing forewords. From the biology of the "Giver's Glow" to a chilling, prophetic dream involving a stranger on the Golden Gate Bridge, Post bridges the gap between hard science and deep mysticism. He reveals how "carefrontation" can heal toxic workplaces and why the key to solving our global polarization isn't found in politics, but in a spiritual "One Mind." If you have ever wondered if love is more than just a fleeting emotion, this conversation provides the scientific and metaphysical proof that it is the very fabric of our survival.

If you think the Golden Gate Bridge is named because of its color then you are wrong. That name proceeds the bridge by a long time. But that’s just one interesting fact about this amazing structure. Tune in today.See omnystudio.com/listener for privacy information.

Jennnn is back from a Hawaii sailing, and she comes bearing stories. From driving to the port for the first time and packing like an absolute pirate, to late-night embarkation drama in San Francisco and sailing under the Golden Gate Bridge, this episode is packed with real cruise talk and classic Podcastaways chaos.We dive into Princess Cruises boarding efficiency, sea days that blur together, island stops across Hawaii, and why driving to a port completely changes how much junk you bring onboard. Plus, we break down shore excursions, non-ship tours, and what makes some itineraries worth repeating.Somehow, we also end up debating robot lawnmowers, smart litter boxes that weigh your cats in kilograms, karaoke competitions at sea, and whether Sweet Caroline should ever be attempted in the wrong octave. (Spoiler: no.)It's cruise advice, travel stories, light scandal, and tech nonsense, all rolled into one episode. Just the way we like it.

This is  a short poem by Joanne Z. Tan: "Is life One Way or a Round Trip?"  using metaphor of creek, river, lake in Yosemite, rain, snow, lightning, thunders, clouds, and the fog in Golden Gate Bridge, symbolizing life's journey. To watch it as a 2-min video To read it as a blog    A tiny creek  In the high country of Yosemite Born of melting snow Filtered through the clefts of granite Streaming down a thawing peak.   Dripping, dropping, Dancing its way  Giggling, laughing, Roaring, swelling, Dashing out of the Valley.   Does it know where it goes? When will it end? And why? Who owns its life?   More creeks gather, Into the Merced River. Onward, forward, one way journey seaward,  Hither and thither, torrential, playful, Reckless, mournful,  Restless, peaceful.   The creek, the river, become the lake, Waters the crops along the way, feeds the climbers of the peak. Matters not If ever it reaches the sea.   Murmurs, shimmers, under the sun it simmers, rising water, skyward ascends, ignites lightning and thunder. Angelic or devilish, could care less, Rain and drizzle, descends. Between Heaven and Earth,  metamorphosis, transcends.    Into the misty fog reincarnates, the creek, the river, and the lake,  ghosts through the Golden Gate Bridge,  hugs the seedlings on the Marin Ridge.   The fog rolls into the hovering clouds snow flakes swirl and flutter  down on the peak That birthed the tiny creek.   If that creek is life itself, Is it one way or a round trip?   Insignificant, not self aware, It lives, one form or another,  knowingly or unknowingly A part of a grand design, Earthly and finite, Eternal and divine.    © Joanne Z. Tan, 1/17/2026  All rights reserved. About the author, Joanne Z. Tan Joanne Z. Tan is the Founder & CEO of 10 Plus Brand, Inc., a brand strategist, thought leadership coach, and speaker. She helps executives, board members, entrepreneurs, and organizations decode their Brand DNA, build trust in the AI age, and lead with brand power, more than just a successful business. A former journalist, award-winning photographic artist, Joanne was trained in law and business, and had a liberal arts education from Brandeis University before earning a law degree. Her coaching emphasizes comprehensive strategies, business modeling, thought leadership and high authority content creation, brand building, culture, teamwork, resilience.  Joanne is also a poet, writer, and photographic artist. © Joanne Z. Tan, 1/17/2026  All rights reserved. (About 10 Plus Brand: In addition to the “whole 10 yards” of brand building, digital marketing, and content creation for business and personal brands. To contact us: 1-888-288-4533.) - Visit our Websites: https://10plusbrand.com/ https://10plusprofile.com/  

Meet two men who survived suicide attempts, and built lives around helping others imagine a future beyond despair. Kevin Hines, one of the few to survive a jump from the Golden Gate Bridge, reflects on the instant regret, the long recovery, and the tools he uses when “brain pain” returns - recorded just days before the 25th anniversary of his attempt. Then, Connecticut therapist Steve MacHattie shares what it means to live with chronic suicidal urges, after his first attempt at six years old, and how reaching for connection can change the outcome. Resources: 988 Suicide and Crisis Lifeline Crisis Text Line: text HOME to 741741 Connecticut Suicide Advisory Board In an emergency, please call or text 911 Suggested episodes: 911, What's Your Emergency? Tales From Dispatch Finding purpose in life after accidentally killing someone What it's like surviving a plane crash Equine therapy GUESTS: Kevin Hines: suicide attempt survivor, author, film producer, and mental health advocate. At 19, he survived a jump from the Golden Gate Bridge. Over the past 25 years, he has dedicated himself to suicide prevention, sharing his story to reduce stigma and help people through moments of crisis. Kevin is the author of Cracked, Not Broken, The Art of Being Broken, and The Art of Wellness, hosts the HINESIGHTS podcast, and was a leading voice in the effort to install safety nets on the Golden Gate Bridge. His latest documentary, Death Bridge, is set to be released in 2027 Steve MacHattie: a suicide attempt survivor, clinical social worker (LCSW), and founder of the Charter Oak Family Center in Manchester, Connecticut. He first attempted suicide at six years old, and today he supports clients ages 5 to 105 and serves as co-chair of the Connecticut Suicide Advisory Board’s Lived Experience Committee. He also writes poetry used in clinical trainings to help care providers see the humanity and strength in the people they serve Support the show: https://www.wnpr.org/donateSee omnystudio.com/listener for privacy information.

Guitarist-singer-songwriter Alex Wise is pleased to announce the release of his new solo acoustic album, One Take, a wide-ranging collection of 28 originals and covers. All tracks are accompanied by a live video of each performance. This album is the culmination of two years of live solo performances at San Francisco's Park Chalet, where he has a weekly residency. After honing his solo acoustic sound, Wise found he wanted to replicate the live experience by capturing some of his favorite tunes in uncut video and audio recordings.The material for the album spans a wide array of sounds: from Wise originals like "Split The Sky," to an unplugged version of The Who's "Won't Get Fooled Again," to an original take on Irene Cara's 80s pop classic "Fame" -- he makes each of these songs his own with a simple guitar and heartfelt vocals.Accustomed to more elaborate multi-instrument recordings that involve several takes and extensive post-production, Wise found this "one take" solo acoustic format to be refreshingly intimate.The album cover is a custom-designed logo which incorporates images of San Francisco's Golden Gate Bridge and the New Orleans symbol of a fleur de lys - these two cities (Wise's home and home away from home, respectively) inspire both his musical tastes and his own songwriting.Wise has fronted the bands Fog Swamp and The Shreep and has made numerous TV & radio appearances. He has performed with Joan Baez, Darius Rucker, Brian Stoltz (Dr. John/Bob Dylan/Neville Bros), The Monophonics, members of The Radiators, Sugarland, and others. His music has also been used in feature films and video games. One Take marks his seventh album release. Become a supporter of this podcast: https://www.spreaker.com/podcast/arroe-collins-unplugged-totally-uncut--994165/support.

Send us a textThis man talked 200+ people back from the edge—and he never once said he "saved" them.Kevin Briggs isn't your typical hero. The "Guardian of the Golden Gate Bridge" spent 23 years as a California Highway Patrol sergeant kneeling beside strangers who'd lost all hope, no formal training at first—just raw humanity and a philosophy that changed everything: Listen to understand, not to fix.His record? 99%+ success rate. FBI-trained crisis negotiator. TED Talk speaker. Author. Global mental health advocate. This conversation will rewire how you think about suicide, mental health, and what it actually takes to save a life.Alison sits down with Kevin after losing her own husband to suicide. Two people who've lived the devastation and refuse to let it win.Together they pull back the curtain on:-Kevin's battlefield resume: Survived testicular cancer at 20 (37 of 45 lymph nodes cancerous), childhood sexual abuse, three heart surgeries, motorcycle crashes, PTSD nightmares, and family lost to suicide. -The suicide stats that'll gut you-What actually works on the bridge-Kevin Berthia's story:22-year-old adopted man. Mental illness. Baby born premature with $250K hospital bill. Lost both jobs. Felt like a total failure. Jumped over the rail before Kevin could stop him but Kevin YELLED and Kevin grabbed the rail mid-air, landed on a tiny pipe 220 feet up.-Jason Garber's story:Highly intelligent. Well-versed in religion, philosophy, sports. No substance abuse. Despite Kevin's best efforts, Jason jumped.-The false peace that kills-Therapy truth bombs:Kevin went to therapy with his son who had suicidal thoughts. The therapist WASN'T TRAINED in suicide assessment. Not all mental health professionals are qualified.-Why intelligent minds break harder:Alison and Kevin unpack why brilliant people are at higher suicide risk. -Alison's redemption mission:Lost her husband to suicide. Transformed that soul-crushing loss into a lifeline for others.-Post-traumatic GROWTH-Faith that heals---

Join us as we kick off 2026 with our 20th "This Week in History!" From Samuel Colt's 1847 revolver contract that saved his company, Utah's 1896 statehood after Mormon reforms, Patsy Mink's historic 1965 entry as the first Asian American woman in Congress, to the 1933 start of Golden Gate Bridge construction, there's these and so much more that's happened this week... Also check out the latest History Bites about Thomas Paine's Common Sense, also celebrating an anniversary, here: https://www.youtube.com/watch?v=I9QFHRPnheQ

In this episode of The Healers Café, Manon Bolliger, speaks to Frank, who discussed his mental health struggles, including major depressive disorder and chronic suicidal ideation, and how humor helps him cope. Frank emphasized the importance of starting conversations about suicide, noting that one person dies by suicide every 40 seconds globally. He highlighted the need for empathy and intervention to prevent suicides, sharing stories of how his talks have helped individuals. Frank aims to save a life a day through his work. For the transcript and full story go to: https://www.drmanonbolliger.com/frank-king     Highlights from today's episode include:  For some people, suicide is always an option their brain offers, even for small problems (e.g., car breaks down: "fix it / buy a new one / kill myself").  Naming it ("chronic suicidal ideation") helps people realize they're not freaks and not alone, which can be profoundly relieving and life-changing. Suicide often results from a cascade of factors, like a car accident with many causes (nighttime, rain, slick road, etc.). A simple intervention—someone asking, "Are you okay?" or showing they care—can interrupt that cascade and literally save a life (e.g., Kevin Hines on the Golden Gate Bridge). You highlight that in contexts like MAID in Canada, people are often met with serious validation of ending life but not always offered a gap—humor, caring connection, or alternative ways of seeing their situation.   ABOUT FRANK KING: Frank King, Suicide Prevention Speaker, writer for The Tonight Show for 20 years, speaker and comedian for 39. His speaking is informed by his lifetime of Depression and Suicidality and coming close enough to ending his life that he can tell you what the barrel of his gun tastes like. Turning that long dark journey of the soul into 13 TEDx Talks, sharing his lifesaving insights with corporations, and associations. He's shared the stage with comedians, Jeff Foxworthy, Adam Sandler, Jerry Seinfeld, Dr. Ken Jung, Ellen DeGeneres, Dennis Miller, and Bill Hicks, as well as entertainers, Lou Rawls, The Beach Boys, Randy Travis, and Nancy Wilson. On top of all of that, he has survived 2 aortic valve replacements, a double bypass, a heart attack, and losing to a puppet on the original Star Search and has lived to joke about it all. Core purpose/passion: To save a life a day. –  Facebook |  Instagram |  LinkedIn  |  mentalhealthcomedian.com | howtomakemoneyspeaking.com | Born to Be Funny YouTube   | Mental With Benefits YouTube  | A Matter of Laugh or Death YouTube  | Suicide, The Secret of My Success YouTube | Dry Bar Comedy Special   ABOUT MANON BOLLIGER, RBHT, FCAH: As a retired Naturopath 1992-2021, I saw an average of 150 patients per week and have helped people ranging from rural farmers in Nova Scotia to stressed out CEOs in Toronto to tri-athletes here in Vancouver. My resolve to educate, empower and engage people to take charge of their own health is evident in my best-selling books:  'What Patients Don't Say if Doctors Don't Ask: The Mindful Patient-Doctor Relationship' and 'A Healer in Every Household: Simple Solutions for Stress'. and What if Your Body is Smarter than You Think?  I am the Founder & CEO of The Bowen College Inc. which teaches BowenFirst™ Therapy and holds transformational workshops to achieve these goals. So, when I share with you that LISTENing to Your body is a game changer in the healing process, I am speaking from expertise and direct experience". Mission: A Healer in Every Household! For more great information to go to her weekly blog:  http://bowencollege.com/blog.  For tips on health & healing go to: https://www.drmanonbolliger.com/tips Follow: Manon Bolliger website  | Linktr.ee | Rumble | Gettr  | Facebook | Instagram | YouTube | Twitter | LinkedIn | Follow: Bowen College Inc. | Facebook | Instagram  | LinkedIn | YouTube | Twitter | Rumble | Locals ABOUT THE HEALERS CAFE: Manon's show is the #1 show for medical practitioners and holistic healers to have heart to heart conversations about their day to day lives. Subscribe and review on your favourite platform: iTunes | Google Play | Spotify | Libsyn | iHeartRadio | Gaana | The Healers Cafe | Radio.com | Medioq | Audacy | Follow The Healers Café on FB: https://www.facebook.com/thehealerscafe   Remember to subscribe if you like our videos. Click the bell if you want to be one of the first people notified of a new release.   * De-Registered, revoked & retired naturopathic physician after 30 years of practice in healthcare. Now resourceful & resolved to share with you all the tools to take care of your health & vitality!  

  Jack Cambria spent 34 years in the New York City Police Department and is the longest-serving commander of the Hostage Negotiation Team. From his early days on patrol in Brooklyn, to scaling bridges with the Emergency Services Unit, and on through the pivotal moments of leading alongside negotiators through some of the city's toughest crises—including the aftermath of the 9/11 attacks—Jack Cambria shares firsthand stories and insights about what it takes to manage high-stakes negotiations and make life-saving decisions. In this conversation, you'll hear about the strategies and teamwork that define successful crisis negotiation, the emotional realities of working cases that don't always end well, and the importance of learning from both victories and mistakes. Jack Cambria offers advice for aspiring negotiators, shares memorable incidents from his long career, and candidly addresses the lessons developed in the field over decades. Whether you're in law enforcement, interested in negotiation tactics, or curious about the human side of policing, this episode promises to give you a rare glimpse behind the scenes with someone who helped shape the profession. Be sure to Like Subscribe and Share this episode of The Crisis Cop Podcast on The 2GuysTalking Podcast Network via WhatCopsWatch.Com...   The Crisis Cop Podcast Podcast Links Bar:  Connect with The Host!     Subscribe to This Podcast Now!   This program is one of the many parts of The WhatCopsWatch.Com Effort! Rate this podcast on Apple Podcasts. the Ultimate success for every podcaster is FEEDBACK! Not an Apple Podcasts user? No problem! Be sure to cherck out any of the other many growing podcast directories online to find this and many other podcasts on The 2GuysTalking Podcast Network!   Housekeeping -- The Editor Corps - Make Your Podcast Soar: There's only one question to ask: Why are YOU still editing your podcast? Reclaim the time you spend on editing (easily at least twice the time you spend on capturing the program) to make more great content by enlisting "The Editor Corps" who will "Make Your Podcast Soar!" http://EditorCorps.Com -- The Voice Farm: Fred Wilkerson, Mike's Father that died in the first few days of 2018, always dreamed of a place that those interested in Voiceover could go to learn more about the industry and experience - without all the BS that goes with it. We build it four and a half years go and it continues to provide new voiceover artists and businesses looking for voiceover talent a place to go and secure great voiceover artists. http://VoiceFarmers.Com   Two Great Ways to Listen/Watch! We are proud to provide you both a dedicated AUDIO and VIDEO presentation for this program! To Listen Now: Hit the play button in the player on this page or hit the Subscribe button on your favorite Podcast Directory to instantly get these episodes when they release! To Watch Now: Visit this program on YouTube, or hit the window located below to see the hosts, guests and light bulb moments that make this program special! https://www.youtube.com/watch?v=0yyK-P2MnjA The Detailed Shownotes for This Episode of The Crisis Cop Podcast: Looking for the detailed links, information and references used inside this episode? Read on below to find them all and remember to reach out to ask if there's something else you'd like to see from this episode!   Timestamps for This Episode of The Crisis Cop Podcast: 00:00 "Emergency Service: Multifunctional Unit" 10:01 "Negotiation Training: Essentials and Growth" 11:12 "Recognizing Crisis Transition Triggers" 20:16 "Rescue on the Kosciuszko Bridge" 21:38 "Detective Questions and Marital Tension" 29:16 Cross Complaint Investigation Unfolds 34:00 "Snipers, Glass, and Strategy" 41:11 "Waco Siege: 52-Day Standoff" 46:12 "Hostage Team Ride-Along" 49:34 Sniper Team Supervision Guidelines 58:10 "Negotiations Require Policing Experience" 58:58 "Experienced Negotiators and Crisis Resolution" 01:07:10 "Evolution of Negotiation Protocols" 01:10:33 Negotiation Legacy and Advocacy   Questions Answered Inside This Episode of Cops and Robbers Talk: Career Pathways: What were the pivotal moments in Speaker A's career that led him from emergency service to leading the Hostage Negotiation Team, and how did those experiences shape his approach to crisis negotiation? Mentorship & Learning: How did mentorship play a role in Speaker A's professional growth, and what can we learn from his reflections on learning both from skilled negotiators and those who made mistakes? Team Dynamics: According to the episode, what is the importance of teamwork in crisis negotiation, and how does the role of a coach during face-to-face negotiations impact the outcome? Body Language & Communication: How do negotiators use non-verbal cues and body language during high-stakes, face-to-face negotiations, such as jumper scenarios? Why is this skill critical? Decision Making: The episode discusses the transition from negotiation to tactical intervention. What factors influence this critical decision, and what does Speaker A mean when he says the subject is often the “true incident commander”? Dealing with Failure: What strategies do crisis negotiation teams use to process and learn from incidents that do not resolve successfully, and how does this affect future operations? Inter-Agency Collaboration: How does the relationship between tactical teams and negotiation teams impact the resolution of crisis situations? What challenges and solutions are discussed regarding East Coast vs. West Coast models? Portrayal in Media: Speaker A shares his experiences consulting for TV and movies. What are some common misconceptions about crisis negotiation in media, and which portrayals does he find more realistic? Qualities of a Negotiator: What characteristics and life experiences does Speaker A believe are essential for a successful police negotiator? How does empathy influence crisis negotiation outcomes? Legacy and Impact: Reflecting on the episode, what does Speaker A hope his legacy in the field will be, and what advice does he offer to negotiators about the real impact their work can have on people's lives?   Links from this Episode: -- Get All of Pat's Books via Amazon Now!    - Crisis Cops: The Evolution of Crisis Negotiation in America      - Crisis Cop 2: More Stories from the Front Lines of Crisis Negotiation      - Calming the Chaos: My Life as a Crisis Negotiator in the St. Louis Area 2GuysTalking Podcast Network Link to the Network's homepage to provide listeners with more background. 2GuysTalking Podcast Network Jack Cambria Jack Cambria LinkedIn (For those interested in connecting with Gentleman Jack and learning more about his career) New York City Police Department (NYPD) Hostage Negotiation Team NYPD Official Site (Background on the department and its crisis negotiation efforts) Emergency Service Unit (ESU) NYPD ESU (Learn more about NYPD's multifaceted tactical/rescue unit) Influencers & Key Figures Gary Noesner Gary Noesner's Official Website (FBI Crisis Negotiator featured in the episode) Stalling for Time (Book) Icons of Influence Podcast Icons of Influence Negotiation Series (Hosted by Andy Prisco, featuring Gary Noesner & Jack Cambria) Captain Frank Bolz Interview with Frank Bolz (Learn about HNT #1 and the origins of the NYPD Hostage Negotiation Team) Training and Associations National Council of Negotiation Associations (NCNA) NCNA Info (National guidelines and best practices for crisis negotiation teams) BlueBaggers Project BlueBaggersProject.com (Get involved in crisis negotiation training as a role player/voice actor) Verbal De-escalation Course (General Info) Verbal Judo Institute (Resource for verbal de-escalation training mentioned in context) Case Studies & Related Incidents Dog Day Afternoon (Film) Dog Day Afternoon on IMDb (Movie based on a true NY bank hostage situation) Stockholm Syndrome (Film) Stockholm (2018) Movie (Story behind the origin of “Stockholm Syndrome”) Waco Siege Waco Siege History (Background info on the 1993 event discussed) Golden Gate Bridge – Kevin Briggs Kevin Briggs "Guardian of the Golden Gate Bridge" (Story of the officer mentioned towards the episode's end) Podcast Network & Sponsors Two Guys Talking Podcast Network Two Guys Talking (Production home of CrisisCop) VoiceFarmers – Voiceover Services VoiceFarmers.com (Sponsor resource for voiceover and on-hold messaging) Perpetual Advertising – Podcast Sponsorship Two Guys Talking Sponsors (Learn about sponsor opportunities for podcasts) Be sure to Like, Subscribe & Share Everywhere!   ==== Connect with Pat Doering - The Crisis Cop Today! — Pat Doering on Facebook — Pat Doering on LinkedIn — Pat Doering on Instagram — Crisis Cop on the Web -- Crisis Cop on YouTube   ==== Help Us Tell People About 10+ Years of WhatCopsWatch.Com: On the Web: https://whatcopswatch.com/ At Apple Podcasts: https://podcasts.apple.com/us/podcast.... At Spotify: https://open.spotify.com/show/2VV1HL9.... On Amazon Music: https://music.amazon.com/podcasts/b46.... On Facebook: / whatcopswatch     Calls to the Audience Inside this Episode: — Did you know that it ALL STARTED with John & Al's Sporting Goods? What was your favorite light bulb moment that YOU discovered in this episode? Tell us Your Perspective About This Episode Now!   Be an Advertiser/Sponsor for This Program!   Tell us what you think! It's never too late to be an advertiser in this podcast, thanks to Perpetual Advertising! Contact CrisisCop.

Holiday Break Recap: We went into holiday break with big plans… and absolutely none of them happened. In this episode, we unpack our time off: bed rotting like pros, surviving embarrassing airport moments, and reacting to some truly bad Christmas gifts.  Easy Hacks To Get Your Sleep Back On Track After The Holidays: Holiday sleep schedule? Gone. We're talking easy hacks to reset your sleep after late nights, festive chaos, and too many hours on the couch…without unrealistic resolutions or overnight changes.  What's Trending: From North Bay flooding and the latest weather updates to sports headlines, we're covering what you need to know. Plus, Jelly Roll's transformation, how movie theaters are celebrating National Popcorn Day, and why National Whipped Cream Day deserves some attention.  Second Date Update: Ben swore this one was a lock for a second date. After bonding over bad first dates, favorite SF bars, and a surprisingly passionate argument about ranch dressing on pizza, Carly disappeared. Ben calls us to figure out where things went sideways—and if the signs were there all along.  Popular Things That Won't Age Well, According To Reddit: A Reddit post asked, “What's popular right now that won't age well?” and the internet did not hold back. We break down the most talked-about answers, from filters to touchscreens everywhere and overconsumption.  Good News: What started as a routine photography hike near the Golden Gate Bridge turned into an unforgettable act of kindness. Bay Area photographer Stu Berman found a lost wallet—and through a series of unexpected connections that stretched all the way to Vietnam, managed to return it to its owner. It's a powerful reminder of how small moments can create big ripple effects.

During World War II, Japanese Americans were held captive in 10 internment camps throughout the US. Two of them in Arizona, built on reservations without tribal consent. In our last story, we heard how the Colorado River Indian Tribes (CRIT) in western Arizona have made a point to preserve the remnants of one such war-time prison. Today, KJZZ's Gabriel Pietrorazio takes us to the state's other site, which sits well-hidden in the shadows of Phoenix – slowly fading away atop of the Gila River Indian Community. He had the privilege to see this restricted site twice this year with the tribe's Wally Jones, who supervised his trip. “I can't give, really the location. I wanted to, but people do search it.” They first met in April at the Chevron gas station in Bapchule, Ariz. about 30 miles south of downtown Phoenix. The tribe did not allow KJZZ to record inside the camp itself, but Jones agreed to let Pietrorazio document their short ride there. No matter who is coming out, Jones stresses they're not tours. “This is not a tourist camp. This is a regulated entry that the department processes for the council's consideration for your visit. It's not just anyone can come out here. These are one of the few sites that the community allows non-members to come in and kind of experience what was here.” What was here in 1942 would've equated to Arizona's fourth-largest city, home to over 13,000 internees stuck in the Sonoran Desert. “The camp is not maintained. The community has decided to let nature recapture its natural state, but there are remnants of various barracks, facilities.” And there are at least 230 ornate garden ponds – now dried up – that prisoners built. “It always amazes me that we find these ponds out here, that it was a signal of their tradition and their hope that they would not let their culture fade away.” Seven months later, Pietrorazio returned – this time not on his own, but as a guest of the Japanese American Citizens League (JACL) in a caravan of at least 20 vehicles. Bill Staples Jr. is president of the JACL Arizona chapter. “And I was really touched by how emotionally connected the Gila River Indian Community was in welcoming the Japanese Americans…” Pietrorazio caught up with Staples at the tribe's Huhugam Heritage Center after a November ceremony. Also there, making the trip from Seattle, was 85-year-old camp survivor Sylvia Domoto. “They've been so welcoming and continue to respect and to keep the land there, so that we can say, ‘Yes, this really happened. It isn't just a fantasy.'” Suicide prevention sign and phone on the east sidewalk of the Golden Gate Bridge in San Francisco, Calif. (Photo: Guillaume Paumier / Wikimedia) A new law in California aimed at preventing suicides is taking effect in the new year. The measure requires the transportation and public health departments to identify best practices and countermeasures to avoid suicides on state bridges and overpasses. The bill by Assemblymember James Ramos (Serrano/Cahuilla/D-CA) builds on his previous work, which includes efforts to improve mental health services and the establishment of a suicide prevention office. Get National Native News delivered to your inbox daily. Sign up for our daily newsletter today. Download our NV1 Android or iOs App for breaking news alerts. Check out the latest episode of Native America Calling Tuesday, December 30, 2025 — The Menu: A memoir and a documentary film document two tribes' connections to food sovereignty

All this week, What Next and What Next: TBD are re-airing some of our favorite conversations from throughout the year and checking back with the people in those conversations to see how things have – or haven't – changed. This episode is from August.From the Statue of Liberty to the Golden Gate Bridge, and places in between like Yellowstone and the site of the Battle of Gettysburg, the National Park Service has been a point of American pride since its inception. And with a small budget and actually generating revenue, even fiscal hawks had no reason to complain. So why is the Trump administration cutting their budget? Guests:Jon B. Jarvis,18th director of the National Parks.Kevin Heatley, former superintendent of Crater Lake National Park, Oregon.  If you want to support more of this reporting, in 2026 and beyond, consider signing up for Slate Plus. You'll enjoy ad-free listening across the Slate network, early access to tickets for live events, and you'll never hit the paywall on the site. We're on a mission to get 100 people to join Slate Plus before the new year—and we're even offering a 50-percent-off deal to folks who join us right now. Visit Slate.com/whatnextplus and use the code WHATNEXT50 to get a year of Slate Plus for $59.Podcast production by Ethan Oberman, Elena Schwartz, Paige Osburn, Anna Phillips, Madeline Ducharme, and Rob Gunther.  Hosted on Acast. See acast.com/privacy for more information.

All this week, What Next and What Next: TBD are re-airing some of our favorite conversations from throughout the year and checking back with the people in those conversations to see how things have – or haven't – changed. This episode is from August. From the Statue of Liberty to the Golden Gate Bridge, and places in between like Yellowstone and the site of the Battle of Gettysburg, the National Park Service has been a point of American pride since its inception. And with a small budget and actually generating revenue, even fiscal hawks had no reason to complain.  So why is the Trump administration cutting their budget?  Guests: Jon B. Jarvis,18th director of the National Parks. Kevin Heatley, former superintendent of Crater Lake National Park, Oregon.   If you want to support more of this reporting, in 2026 and beyond, consider signing up for Slate Plus. You'll enjoy ad-free listening across the Slate network, early access to tickets for live events, and you'll never hit the paywall on the site.   We're on a mission to get 100 people to join Slate Plus before the new year—and we're even offering a 50-percent-off deal to folks who join us right now. Visit Slate.com/whatnextplus and use the code WHATNEXT50 to get a year of Slate Plus for $59. Podcast production by Ethan Oberman, Elena Schwartz, Paige Osburn, Anna Phillips, Madeline Ducharme, and Rob Gunther.  Learn more about your ad choices. Visit megaphone.fm/adchoices

All this week, What Next and What Next: TBD are re-airing some of our favorite conversations from throughout the year and checking back with the people in those conversations to see how things have – or haven't – changed. This episode is from August.From the Statue of Liberty to the Golden Gate Bridge, and places in between like Yellowstone and the site of the Battle of Gettysburg, the National Park Service has been a point of American pride since its inception. And with a small budget and actually generating revenue, even fiscal hawks had no reason to complain. So why is the Trump administration cutting their budget? Guests:Jon B. Jarvis,18th director of the National Parks.Kevin Heatley, former superintendent of Crater Lake National Park, Oregon.  If you want to support more of this reporting, in 2026 and beyond, consider signing up for Slate Plus. You'll enjoy ad-free listening across the Slate network, early access to tickets for live events, and you'll never hit the paywall on the site. We're on a mission to get 100 people to join Slate Plus before the new year—and we're even offering a 50-percent-off deal to folks who join us right now. Visit Slate.com/whatnextplus and use the code WHATNEXT50 to get a year of Slate Plus for $59.Podcast production by Ethan Oberman, Elena Schwartz, Paige Osburn, Anna Phillips, Madeline Ducharme, and Rob Gunther.  Hosted on Acast. See acast.com/privacy for more information.

Life is short—go see the place you've been putting off. And if this episode moves you, I'd love for you to subscribe and share it.Our journey was filled with scenic drives, quiet moments, and memories of our sweet fur baby, Khan — always with us, always missed.We soaked up lake views and starry skies at Eagle Lake RV Park in Susanville, then rolled into Minden, Nevada, where mountain towns, great food, and a drive to Truckee reminded us why the open road never gets old. Reno surprised us with incredible meals, lively energy, and a standout dinner at Duke's Steakhouse — a perfect place to celebrate life's moments.Virginia City took us straight back to the Wild West, complete with wooden boardwalks, live music, and golden sunsets over winding mountain roads. Along the way, we discovered unforgettable food — from Detroit-style pizza in Reno to ice cream by Lake Tahoe after one of the most scenic drives in the country, especially Emerald Bay.Petaluma became our cozy home base as we explored rugged Bodega Bay, quiet Dillon Beach, and the dreamy vineyards of Napa Valley, where even the air smells like grapes. Towering redwoods at Armstrong Reserve left us in awe, and the fog-wrapped Golden Gate Bridge felt like pure magic.Some places tugged at the heart — especially returning to Coarsegold to reunite with the angels who saved my life. Yosemite humbled us once again among giant sequoias thousands of years old, reminding us just how small — and lucky — we are.We wrapped this chapter in Southern California, soaking up sunshine, time with loved ones, and peaceful moments before turning east again — grateful, inspired, and ready for whatever adventure the road brings next. 

„A View to a Kill“ – Im Angesicht des Todes – gilt bei vielen Bond-Fans als der schwächste Eintrag der Reihe. Roger Moores letztes Abenteuer als 007 landet in Rankings sogar oft auf dem letzten Platz. Doch wird das dem Film wirklich gerecht? Zum 40. Jubiläum nehmen Kai und Sebastian das Finale der Moore-Ära genau unter die Lupe. Liegt das schlechte Image tatsächlich am Alter des Hauptdarstellers – oder an ganz anderen Entscheidungen hinter der Kamera? Und ist „Im Angesicht des Todes“ wirklich so einfallslos, wie sein Ruf vermuten lässt? In Teil 1 unserer ausführlichen Filmbesprechung sprechen wir zwischen Eiffelturm und Golden-Gate-Bridge über die Entstehungsgeschichte, die Erwartungen an Maurice Binder und die Frage, ob der Film vielleicht mehr zu bieten hat, als man ihm gemeinhin zugesteht. ---------- Alle Links zur Show: ⁠https://www.wonderlink.de/@podcast007⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

(0:10 - 0:23) The podcast kicks off with hosts Marcy Gordon and Beth Costa introducing "Wine Road," a show about the wine culture of Northern Sonoma County. They thank Ron Rubin for supporting the podcast. (0:24 - 0:48) River Road Family Vineyards and Winery is highlighted as a sponsor, enabling the podcast to continue. Listeners are encouraged to explore their Chardonnay and Pinot Noir at RiverRoadVineyards.com. (0:49 - 1:16) The hosts introduce episode 242, a festive "Celebrate Christmas" edition, recorded on December 18th. They share their excitement for the holiday season. (1:17 - 1:39) The hosts enjoy eggnog and holiday cheer, with Marcy joking about "Santa pauses" and Beth adjusting to not introducing a guest. (1:42 - 2:00) Beth shares her excitement about spending Christmas with her daughter, son-in-law, and grandchildren in Cloverdale, emphasizing the importance of family during the holidays. (2:05 - 2:23) Beth reminisces about a Nutcracker-themed children's book that her grandson loves, which still works after years of use, despite her family's mixed feelings about it. (2:30 - 3:25) The hosts discuss the upcoming "Winter Wineland" event on January 17-18, featuring 60 wineries. It's a relaxed, fun weekend to enjoy wine tasting, with extended offers for Martin Luther King Jr. weekend. (3:26 - 4:14) Beth mentions the Wine Road's ongoing auction to raise funds and teases the 50th anniversary celebration in 2026. Plans include a grand tasting event at Fopiano Vineyards, showcasing founding and long-time member wineries. (4:15 - 5:32) The hosts reflect on the Wine Road's history, including its 40th-anniversary documentary, and share details about the 50th-anniversary celebration in November 2026, which will feature live music, appetizers, and winery interviews. (5:33 - 6:21) Beth shares her holiday traditions, including decorating her house, baking cookies with her grandkids, and enjoying Christmas lights in Cloverdale. Marcy adds her Italian-inspired traditions, like panettone and spaghetti with meatballs. (6:22 - 7:14) The hosts discuss holiday baking, with Beth excited about her pastry chef daughter visiting to take over the kitchen. They also mention local light displays and parades in Sebastopol and Occidental. (7:15 - 9:00) Beth recalls a memorable Christmas trip to the San Francisco Zoo to see reindeer, which ended with a long traffic jam on the Golden Gate Bridge. The hosts agree that the best holiday memories often involve mishaps. (9:01 - 11:34) The hosts outline upcoming Wine Road events: Winter Wineland (January 17-18): A weekend wine-tasting event. Wine Love Wine Trail (February 14): A one-day, $50 event with 40 wineries. Barrel Tasting (March): A chance to taste wines still aging in barrels, alongside current and library vintages. (11:35 - 13:40) Beth highlights the Geyserville Inn as a lodging option, noting its vineyard-surrounded location, renovated rooms, and on-site restaurant. It's ideal for weddings, meetings, or a wine country getaway. (13:41 - 15:27) Marcy introduces a "Where Am I?" segment, describing a winery in Dry Creek Valley with a scenic view, old tractors, and Rhone varietals. Listeners can email guesses to win a Wine Road picnic blanket. (15:28 - 20:19) The hosts share a "Fast Five" recipe for snowball cookies with pistachios, adding humor and outtakes as they struggle to describe the process. The recipe includes flour, salted butter, powdered sugar, vanilla, and nuts. They promise to include detailed instructions in the show notes. (20:20 - 20:23) The episode wraps up with holiday wishes and laughter over the cookie recipe outtakes.   Todays Links: River Road Family Vineyards & Winery Winter Wineland Geyserville Inn Marcy's Snowball Cookies - with somewhat clearer instructions...        

Guitarist-singer-songwriter Alex Wise is pleased to announce the release of his new solo acoustic album, One Take, a wide-ranging collection of 28 originals and covers. All tracks are accompanied by a live video of each performance. This album is the culmination of two years of live solo performances at San Francisco's Park Chalet, where he has a weekly residency. After honing his solo acoustic sound, Wise found he wanted to replicate the live experience by capturing some of his favorite tunes in uncut video and audio recordings.The material for the album spans a wide array of sounds: from Wise originals like "Split The Sky," to an unplugged version of The Who's "Won't Get Fooled Again," to an original take on Irene Cara's 80s pop classic "Fame" -- he makes each of these songs his own with a simple guitar and heartfelt vocals.Accustomed to more elaborate multi-instrument recordings that involve several takes and extensive post-production, Wise found this "one take" solo acoustic format to be refreshingly intimate.The album cover is a custom-designed logo which incorporates images of San Francisco's Golden Gate Bridge and the New Orleans symbol of a fleur de lys - these two cities (Wise's home and home away from home, respectively) inspire both his musical tastes and his own songwriting.Wise has fronted the bands Fog Swamp and The Shreep and has made numerous TV & radio appearances. He has performed with Joan Baez, Darius Rucker, Brian Stoltz (Dr. John/Bob Dylan/Neville Bros), The Monophonics, members of The Radiators, Sugarland, and others. His music has also been used in feature films and video games. One Take marks his seventh album release. Become a supporter of this podcast: https://www.spreaker.com/podcast/arroe-collins-like-it-s-live--4113802/support.

Episode 89 - Murdock and Marvel: 2015 Part 2 2015 was a turning point for the American comic industry in a number of ways, and seems to be a satisfying place to wrap up our look at over 50 years of American comic books.  This year is in many ways a fulcrum that links the insular comics world that I grew up in with the fast-moving media-entwined and politically-charged environment of recent times.    This is part 2 of the podcast. that will feature the year in Daredevil, the Spotlight story and the Takeaway for 2015.   The Year in Daredevil  Appearances: Daredevil v4 #10-18, She-Hulk #10, Superior Iron Man #1-2, Marvel Free Previews Scret Wars #1, Deadpool #45, Night Nurse #1, Secret Wars Journal #5, All-New, All-Different Point One #1  Writer: Mark Waid (#10-18)  Pencils: Chris Samnee (#10-18)  Inks: Chris Samnee (#10-18)  We kick off the year with the big Purple Man arc that rolled over from 2014. Kilgrave is having a full-on existential crisis—he wants genuine affection for once—so he rounds up his five kids, each of whom has a piece of his mind-control powers. But teaming them up backfires spectacularly: the kids turn on him and literally toss him into the street… where he gets smoked by a train. Classic family bonding.  With dad out of the picture, the kids go wild—stealing a cop car, causing mayhem—until Daredevil shows up to contain them. But these kids aren't like Kilgrave alone; together they're a psychic wrecking ball and Matt ends up curled under a bridge in a full panic response. Kilgrave, very much alive, shows up to beat him senseless… until one magic word—“fear”—snaps Matt back into fight mode. Still, Kilgrave and the kids slip away.  After regrouping with Kirsten, Daredevil tracks the whole purple family to a mall arcade (which is honestly a perfect place for a mind-control clan). With some strategic help from police, Matt gets the kids separated so their powers weaken, and everyone—including Kilgrave—gets taken into custody. And the issue closes with a surprisingly tender moment of Matt finally letting Kirsten in—on every level.  Meanwhile, there's a running side plot: Kirsten's father offers Matt eight million dollars for a Daredevil autobiography. So throughout the year we see Matt and his ghostwriter Foggy chipping away at the book.  Next up: the Stunt-Master saga. A new, young, daredevil wannabe is stealing the identity of the original Stunt-Master and pulling off death-defying stunts all over San Francisco. The original, George Smith, wants to sue and goes to Matt—but legally, he doesn't really have a case. When the new Stunt-Master publicly challenges Daredevil to join his next big stunt on the Golden Gate Bridge, Matt refuses… until he hears that Smith has apparently committed suicide.  Daredevil accepts the challenge and instantly realizes something is off. He discovers that the rider at the stunt is actually Smith himself—and that the “new” Stunt-Master's whole trick is murdering stand-ins to survive his stunts. Matt gives chase in a wild car/motorcycle sequence, only for Kirsten to be the one who cracks the final twist: Smith faked the suicide and played everyone. His goal wasn't fame—it was immortality as the world's greatest “death cheater.”  Then we get a really fun twist: Kirsten gets her own arch-nemesis. Matt's worried that their relationship is putting her in danger… and then she's kidnapped. Except it's not one of Matt's villains—it's the Lilac Killer, a serial killer Kirsten has been investigating. She's thrilled, shouting, “I have my own arch-foe!” while Daredevil rescues her. It's great.  In Issue #14, the Matt/Daredevil identity line really starts blurring. Matt's now showing up in court in a full red suit with a giant DD belt buckle, handing out Daredevil business cards—subtlety is dead. He's asked to investigate a “bird-man predator,” which sends him into a team-up with Jubula Pride, the Owl's daughter. They eventually discover the Owl himself has been kidnapped and wired into a massive surveillance system run by the Shroud, who is spiraling emotionally and spying on everyone through any electronic device.  Daredevil and Jubula try taking the Shroud down but get overwhelmed. When they go to the deputy mayor for help, things get worse—Jubula gets mistaken for a child kidnapper because of events going all the way back to Issue #1. So now the cops are after both of them, and Jubula drops the bomb: there's only one person who can help… Wilson Fisk.  Then we get an out-of-order Issue 15.1—a couple of standalone stories from Mark Waid, Chris Samnee, and Marc Guggenheim—but we'll save that one for this week's spotlight.  Back to the main story: Matt meets with Kingpin and asks for protection for himself and his friends from the Shroud. Fisk loves every second of this and demands payment. Matt gives him the wildest offer possible: “I offer you the death of Matt Murdock. Interested?”  Meanwhile, Foggy and Kirsten are ambushed and kidnapped by Ikari—the hyper-sensed assassin from Volume 3—now working for Fisk. And Kingpin has also secretly captured Julia Carpenter, the woman the Shroud is obsessed with.  Jubula tracks Julia to the airport and tries to hand her over to the Shroud as a bargaining chip for her father, but Daredevil crashes the meeting, Julia refuses to go, and everything explodes. Matt returns to Fisk to negotiate but finds Ikari holding Foggy, Kirsten, and Julia hostage. Fisk wants to ditch their original terms and just watch Ikari kill Daredevil. The fight spills across San Francisco until the Shroud intervenes and kills Ikari—realizing Fisk has Julia. He proposes a truce with Matt to save the people they love.  In the big finale, Daredevil disguises himself as Ikari to infiltrate Fisk's stronghold. The ruse works… for about 30 seconds. Foggy starts fighting a guard, chaos erupts, and Fisk realizes Ikari is dead. But just then the Shroud broadcasts Fisk's secret business dealings to the world—mirroring what he once did to Matt—and police storm the building. In the chaos, Daredevil gets the hostages free and escapes.  The dust settles: Julia Carpenter takes down the Shroud with a poisoned kiss. The deputy mayor rescinds the arrest warrant and helps clean up Matt's legal fallout. And Foggy and Matt share a grounded heart-to-heart about what it means for Matt to be “living in the light”.  This Week's Spotlight: Daredevil Volume 4, Issue 15.1 July 2015 Recap Why We Picked This Story Daredevil Rapid Fire Questions The Takeaway Its always dangerous when your hero is happy. Questions or comments We'd love to hear from you!  Email us at questions@comicsovertime.com or find us on Twitter @comicsoftime. ------------------ THANKS TO THE FOLLOWING CREATORS AND RESOURCES  Music: Our theme music is by the very talented Lesfm.  You can find more about them and their music at https://pixabay.com/users/lesfm-22579021/.  The Grand Comics Database: Dan uses custom queries against a downloadable copy of the GCD to construct his publisher, title and creator charts.  Comichron: Our source for comic book sales data.  Marvel Year By Year: A Visual History  DC Comics Year By Year: A Visual Chronicle  https://en.wikipedia.org/wiki/List_of_films_based_on_English-language_comics  https://en.wikipedia.org/wiki/List_of_Marvel_Comics_superhero_debuts  https://comicbookreadingorders.com/marvel/event-timeline/  https://www.comic-con.org/awards/eisner-awards/past-recipients/past-recipients-1990s/ 

This week's host, John Arndt, is joined by one of the great legends of the sailing world, Commodore Tompkins. The 93-year-old Commodore has sailed over 600,000 miles and has essentially been sailing since birth. In this Part 1 - recorded in-person on Commodore's custom Wylie 39, Flashgirl - you'll hear the health scares on his recent 48-day passage, the lifetime of sailing inspiration he credits to his father, his unbelievable memories from sailing around Cape Horn at age 4, how they became the 1st sailing vessel to cross under the Golden Gate Bridge, and how he started professionally working on boats. Read about Commodore in Latitude 38 Sailing Magazine here: https://www.latitude38.com/lectronic/commodore-tompkins-on-the-move-again/

The Page One Podcast, produced and hosted by author Holly Lynn Payne, celebrates the craft that goes into writing the first sentence, first paragraph and first page of your favorite books. The first page is often the most rewritten page of any book because it has to work so hard to do so much—hook the reader. We interview master storytellers on the struggles and stories behind the first page of their books.About the guest author:Arik Hously has served the Napa Valley community for more than 30 years, operating grocery stores, a winery and an Italian restaurant. An ardent soccer fan and former coach, Housley owns the men's and women's Napa Valley 1839 FC soccer teams. He and his family founded Alaina's Voice Foundation, in honor of their late daughter, to support education, music and mental health initiatives in Napa Valley. As a national speaker, Housley inspires others to “be the positive change” and cultivate compassion and strength in the face of adversity. You can find him at arikhousley.com, IG @arikjih8 and Substack @arikhousley.       About the host:Holly Lynn Payne is an award-winning novelist and writing coach, and the former CEO and founder of Booxby, a startup that built an AI book discovery platform with a grant from the National Science Foundation. She is an internationally published author of four historical fiction novels. Her debut, The Virgin's Knot, was a Barnes & Noble Discover Great New Writers book. Her latest book, Rose Girl: A Story of Resilience and Rumi, a medieval, mystical thriller was awarded a Kirkus (starred) review and named Editors Choice from the Historical Novel Society. Holly lives on a houseboat near the Golden Gate Bridge with her daughter and Labrador retriever, and enjoys mountain biking, hiking, swimming and pretending to surf. To learn more about her books and writing coaching services, please visit her at hollylynnpayne.com  and subscribe to her FREE weekly mini-masterclass, Power of Page One, a FREE newsletter on Substack, offering insights on becoming a better storyteller and tips on hooking readers from page one! (And bonus: discover some great new books!)Tune in and reach out:If you're an aspiring writer or a book lover, this episode of Page One offers a treasure trove of inspiration and practical advice. I offer these conversations as a testament to the magic that happens when master storytellers share their secrets and experiences. We hope you are inspired to tune into the full episode for more insights. Keep writing, keep reading, and remember—the world needs your stories. If I can help you tell your own story, or help improve your first page, please reach out @hollylynnpayne or visithollylynnpayne.com. You can listen to Page One on Apple podcasts, Spotify, Pandora, Stitcher and all your favorite podcast players. Hear past episodes. If you're interested in getting writing tips and the latest podcast episode updates with the world's beloved master storytellers, please sign up for my very short monthly newsletter at hollylynnpayne.com and follow me @hollylynnpayne on Instagram, Twitter, Goodreads, and Facebook. Your email address is always private and you can always unsubscribe anytime. The Page One Podcast is created on a houseboat in Sausalito, California, is a labor of love in service to writers and book lovers. My intention is to inspire, educate and celebrate. Thank you for being a part of my creative community! Be well and keep reading,Holly@hollylynnpayne on IG Thank you for listening to the Page One Podcast! I hope you enjoyed this episode as much as I loved hosting, producing, and editing it. If you liked it too, here are three ways to share the love:Please share it on social and tag @hollylynnpayne.Leave a review on your favorite podcast players. Tell your friends. Please keep in touch by signing up to receive my Substack newsletter with the latest episodes each month. Delivered to your inbox with a smile. You can contact me at @hollylynnpayne on IG or send me a message on my website, hollylynnpayne.com.For the love of books and writers,Holly Lynn Payne@hollylynnpaynehost, author, writing coachwww.hollylynnpayne.com

The Bay Bridge just celebrated its 88th birthday and starting in the New Year bridge tolls will rise by 50 cents from $8 to $8.50. The added revenue will pay for maintenance costs on the Bay Bridge as well as six other state-owned bridges in the region and for more, KCBS Radio News Anchor Steve Scott spoke with KCBS Insider Phil Matier

A Sermon for the First Sunday in Advent St. Matthew 21:1-13 by William Klock The Gospel we read on Christmas Day is the introduction to St. John's Gospel.  Those familiar words: “In the beginning was the Word, and the Word was with God, and the Word was God.  He was in the beginning with God.  All things were made through him, and without him was not any thing made that was made.  In him was life, and the life was the light of men.  The light shines in the darkness, and the darkness has not overcome it…The true light, which gives light to everyone, was coming into the world.” The light, God's Messiah, Jesus has come into the world.  He's brought light into the darkness.  He's brought life into the middle of death.  In him, God has become present to the world.  But between us and Christmas, between us and the coming of the light, stands Advent—to remind us what the world was like before light and life came into the midst of darkness and death—so that we might appreciate more the gift that God has given us in Jesus, so that we might appreciate more his love, his mercy, and his grace; so that we might appreciate more his faithfulness as we see his promises fulfilled in the Christmas story.  So that we might better live out the story he's given us in preparation for the day when he comes again. And so Advent begins with Jesus, the Messiah, the anointed king, on the Sunday before his crucifixion.  Palm Sunday.  Jesus has arrived in Jerusalem to celebrate the Passover.  Today we have St. Matthew's telling of that day.  He writes—at the beginning of Chapter 21: “When they came near to Jerusalem and arrived at Bethpage on the Mount of Olives, Jesus sent two of the disciples on ahead.” The road from Jericho up to Jerusalem made its final approach to the city around the southern slope of the Mount of Olives. As the road came over the ridge, there was Jerusalem, across the Kidron Valley, a mass of great walls and rooftops, and above it all on Mount Zion, was the temple—the place where earth and heaven were supposed to overlap, the place where men and women could draw near to the presence of God, the shekinah, the cloud of glory that sat on the ark in the holy of holies.  A cloud of smoke went up perpetually from the altar in the temple court where the burnt offerings were made.  This was the scene that met Jesus as the road took him over the Mount of Olives: the city, bustling with crowds of visitors for the Passover, the temple in all its beautiful glory standing above the city, and that column of smoke going up, an aroma to the Lord. A Jewish man or woman, walking over that ridge and seeing this scene ahead, might be overcome.  It was heaven on earth—or the closest you could get to it.  It was a scene of glory.  It was a scene that would make your heart swell with pride, knowing that you were the people who lived with the living God in your midst.  And it was exciting for all these people travelling from the outlying regions of Judea and Galilee—like they were arriving at the centre of the universe.  I think of the description Victorian travellers gave of arriving in London, to the heart of the British Empire.  To the way I've heard New Yorkers talk of flying home from other parts of the world and seeing the skyscrapers or the Statue of Liberty out the window and knowing that you're home and swelling with pride because their home is—today—the centre of the universe.  This past March, Veronica I drove down Highway 101 to the central California Coast.  Between Sausalito and the Marin Headlands, you pass through the Waldo Tunnel and when you come out the south end of the tunnel, you're greeted with a stunning panoramic vista of the Golden Gate Bridge with San Francisco's skyscrapers in the background.  That's where I was born.  And when we drove out of the tunnel and saw that view, I think I felt something very much like the Jews would have felt coming round the Mount of Olives and seeing Jerusalem and the temple in the distance.  Jesus' disciples—a bunch of bumpkins from Galilee, way up in the north—must have felt that way.  But not Jesus.  Matthew leaves this part out, but St. Luke tells us that Jesus, seeing that beautiful and glorious view, stopped and began to sob.  The beauty, the glory wasn't lost on him, but he sobbed because he knew that it masked a people with no heart for God.  The city and temple were like a whitewashed tomb—beautiful, but full of dead men's bones.  He knew—as everyone knew, but dared not admit—the glory, the presence of God was not there.  The smoke my have risen from the altar, but the holy holies was bare and empty—just like the heart of the people.  Jesus saw the coming judgement of God on a faithless people.  He saw the city and the temple as they would be in a generation: a smoking ruin. Matthew puts our attention on Jesus' acted out prophecy.  He sends two of his disciples ahead into the village of Bethphage, “‘Go into the village,' he said, ‘and at once you'll find a donkey tied up and a foal beside it.  Untie them and bring them to me.  And if anyone says anything to you, say, “The lord needs them, and he'll send them back straightaway.”'  He sent them off at once….So the disciples went off and did as Jesus had told them.  They brought the donkey and its foal and put their cloaks on them, and Jesus sat on them.”  Why?  Well, says Matthew, “This happened so that the prophet's words might be fulfilled: ‘Tell this to Zion's daughter: Behold!  Here comes your king; humble and riding on a donkey, yes, on a colt, the foal of a donkey.” Matthew quotes from the Prophet Zechariah.  Matthew could see what Jesus was doing here.  Jesus never did anything randomly or without reason.  The location, the donkey, the colt—they're all important.  Jesus could have taken a different route to Jerusalem, but he picked this one so that he'd be standing on the Mount of Olives when all this happened.  This was the spot were Zechariah said that the Lord would stand when he came in judgement on faithless Jerusalem.  And Zechariah explains the strange command to the disciples about the donkey.  This was not how kings made their triumphal processions.  At least, not ordinary kings.  They were carried by their servants or they rode on horseback or in a chariot.  But Zechariah, hundreds of years before, had highlighted the humble nature of the coming Messiah.  He was the one who would ride to his coronation on the back of a humble donkey. Jesus' acted out prophecy reveals who he is and it exposes all the wrong ideas his people had about the Lord and his Messiah—and it probably exposes some of our wrong ideas, too.  To the people who longed for the Lord to come in judgement on the nations, Jesus comes in judgement to his own people.  To the people who imagined the Messiah coming in a chariot with a great army to liberate Jerusalem and to reign over his people like a greater David, Jesus comes riding on a donkey with an army of ordinary pilgrims.  To the people who imagined God coming in merciless, vengeful, pitiless wrath to bring judgement on sin, Jesus comes in humility, weeping over the coming judgement.  Jesus is coming to take his throne, to fulfil what the Prophets—like Zechariah—had spoken, to show the Lord's faithfulness, but not in the way anyone expected. I think of our Epistle today from Romans, where St. Paul writes those words: “Owe no one anything, but to love one another, for the one who loves his neighbour has fulfilled the torah.”  I don't think Paul could have written those words before he met the risen Jesus.  He certainly knew what the greatest commandments were: to love God and to love his neighbour.  But he didn't understand.  He was part of that Jerusalem Jesus wept over.  A city that talked about love of God and love of neighbour, but a city—a nation—of people at each other's throats, a people longing eagerly for fire and brimstone to rain down on their enemies, a people with little if any thought for those in their midst most in need, a people ready to cry out in demonic rage for the crucifixion of their own Messiah.  And a people who did all these things with an absolute and devoted passion for a God they utterly misunderstood.  And this was why what should have been the beating heart of Jerusalem—the presence of the living God in the temple—this is why it, why he was missing.  The people had returned from their Babylonian exile, they had rebuilt the temple, but the heart of the people was still far from God.  They were impure.  Their salt had lost its savour.  Their light had turned to darkness.  They were false witnesses of their God.  And so his presence, the cloud of glory, had never returned. The road to Jerusalem was jammed with people who say Jesus sobbing.  They probably thought his tears were tears of joy to see the holy city.  Little did they know.  They were just excited to see him.  They'd heard the stories.  Word was no doubt spread through about the healing of blind Bartimaeus in Jericho.  Pilgrims from Galilee told others of the amazing things Jesus had done and taught there.  And as the disciples places their coats on the donkey and Jesus took his place, word was going through the crowd: “That's him!” So, says Matthew, “the great crowd spread their coats on the road.  Others cut branches from the trees and scattered them on the road.  The crowds went on ahead of him and those who were following behind shouted: ‘Hosanna to the son of David!  Blessed is he who comes in the name of the Lord.  Hosanna in the highest!” The crowd surrounds Jesus. All the way to Jerusalem they'd been singing the psalms of ascent and the royal psalms.  Songs full of hope.  Psalms about that recalled the glory days of David, psalms about God coming to his people, psalms about God finally setting this broken world to rights.  Psalms that looked forward to the coming Messiah.  And now—maybe, they hoped—here he was.  Not like anyone expected, but they'd heard the stories.  Maybe they'd heard him preaching.  Maybe they'd seen his miracles.  And that was enough.  So they parade him down the Mount of Olives, across the valley, and back up and into the gates of Jerusalem. Along the way they, Matthew says, they laid their coats and palm branches on the ground.  Now it's the people acting out prophetically even if they didn't know it. Matthew, writing to a Jewish audience makes sure that as they read this, they're reminded of a scene or two from their own history.  In 2 Kings 9 we read about Jehoram.  He was King of Israel, the son of the wicked King Ahab.  And in Jehoram, the apple had not fallen far from the tree.  He was as wicked as his father, so the prophet Elisha ordered that Jehu, instead, was to be anointed King in his place.  He announced that Jehu would bring the Lord's judgement on the wicked house of Ahab.  As Jehu was anointed by the prophet, the men who were gathered cast their coats on the ground before him and blew a trumpet. And then there's Judas Maccabeus.  2 Maccabees 10:7 describes the people hailing Judas as king by laying wreathes and palm branches at his feet.  Judas had not only defeated Israel's enemies and liberated the nation, but he had purified the temple from its defilement by the Greeks.  He was a national hero—particularly for the Pharisees and the Zealots.  Judas' kingdom inspired hope. But Jehu was not the saviour the people hoped for.  As a king he was a mixed bag.  He put an end to the more outrageous form of idolatry in Judah.  He got rid of the altars to Baal.  But he never removed the golden calves that Jeroboam has set up at Bethel and Dan.  He failed to dig out the root of Judah's idolatry and faithlessness to the Lord.  In the end, the Lord still allowed the people to be exiled for their faithlessness.  And Judas Maccabeus.  He was a national hero.  But his kingdom was short-lived.  The shekinah never returned to the temple, despite his zealousness for torah.  The hope he'd brought to the people was quickly crushed.  But this time, looking at Jesus, the people hoped, it would be different.  And so they sing to him.  They acclaim him as the Messiah, the anointed king.  “Hosanna—save us—O son of David!  Blessed is he who comes in the name of the Lord.  O Hosanna—save us—we cry to heaven!” Matthew gives us a sense of the longing and hope of the people.  They're desperate for the Lord to come and set their broken world to rights.  Jesus sees it too and I expect it made him weep all the more, because he knew that God's new world was not going to come the way they wanted it to, he knew that he would not going to his messianic throne the way they wanted him to, because he knew that to set everything to rights would mean judging the sin and corruption of his people and the city and even the temple.  And he knew the only way to his throne was through their rejection and death on Roman cross. But on he went into the city.  Acting out the prophecy.  Matthew writes that “When they came into Jerusalem, the whole city was gripped with excitement.  ‘Who is this?' they were saying.  ‘This is the prophet, Jesus,' replied the crowds, ‘from Nazareth in Galilee!”  This is the Prophet.  They weren't saying that Jesus was just another prophet.  He was the Prophet.  The one the people hailed Jesus as in our Gospel last Sunday, after he fed the multitude.  He was the one promised to come, like another Moses, to save the people and lead them out of bondage.  In other words, “This is the Messiah, Jesus, from Nazareth in Galilee.” He had come to take his throne.  And so from the gate of the city, Jesus led the triumphal parade of cheering people through the winding streets—the same route he would take in reverse, bearing a cross, just five days later.  He made his way up and up through the city to the temple and through the gate.  And when he got there, Matthew says, “Jesus threw out all the people who were buying and selling in the temple.  He flipped over the tables of the money-changers and the seats of the dove-sellers.  ‘It is written,' he said to them, ‘My house will be called a house of prayer, but you have made it a lair of bandits!” Jehu and Judas Maccabeus had cleansed the temple.  That was the expectation of the Messiah.  But not like this.  I think we often focus too much on Jesus' actions as a condemnation of the commerce going on in the temple—probably because we're aware of the evils of our own overly materialistic and commercialistic culture.  I don't think Jesus was angered by the commerce itself.  People needed animals for the sacrifices and not everyone was a farmer.  A lot of people were travelling from far away and it wasn't easy or realistic to bring the animals with them.  And the money changers, well, since the temple only used its own coinage, they were at least a necessary evil.  Nevertheless when you think of Mary and Joseph going to the temple for her purification after the birth of Jesus and offering two turtledoves, it says something about how poor they were.  When you think about the words of her Magnificat, singing about filling the hungry with good things and sending the rich away empty, when you think of the widow offering her “mite” in the offering box, you certainly get the sense that the system was privileging the rich and making access to the temple a burden for the poor—and in that this whole system was emblematic of the way in which Israel had lost the heart of God and was desperately in need of judgment…or renewal…or as it would happen: both.   But the really important thing about Jesus flipping tables and driving out the merchants is something I think we're prone to missing.  Again, this is another acted out prophecy.  The really important thing is that what Jesus did brought the work of the priests and the whole sacrificial system that day to a grinding halt.  It goes along with everything else he said about the temple—like announcing that he would tear it down and rebuild it in three day—and it goes right along with all the times that he bypassed the temple, the priests, and the sacrificial system by offering forgiveness apart from them.  That, far more than everything else, is what had angered the Pharisees.  That was what got him arrested and crucified. So what Jesus is getting at here is that the Messiah has come, not just to purify the temple, but to establish a new and better one.  To really inaugurate the work of new creation that the old temple had always pointed to.  The people had forgotten this.  The temple was never meant to be an end in itself.  The temple pointed to God's future—to the day when sin is gone, to the day when creation is made new and the garden restored, and to the day when men and women are made new as well, to the day when a renewed humanity once again lives in God's presence and serves in his temple as priests. And, Brothers and Sisters, that's what Jesus inaugurated through his crucifixion and resurrection.  He shed his blood, not for a building, not for an altar made of stone, but for a people: a full, perfect, and sufficient sacrifice, oblation, and satisfaction for their sins.  At the cross, Jesus washed his people clean and he's washed them—he's washed us clean—so that we can be God's temple.  And so Jesus rose from the grave and ascended to the right hand of his Father, the perfect man, the new Adam, to take up his vocation as high priest.  And as high priest, he's poured God's Spirit into his people, purified by his blood.  He's made us his temple and called us to join in the vocation we were originally created for: to be God's priests and stewards serving beside our saviour. So Advent comes as a forced pause.  We're racing towards Christmas and to the joy it represents.  And the church says, “Hold on.  Slow down.  You need to stop and think about what it all means.  You need to stop and think about why Jesus came, why he was born, why it was necessary for light and life to be born into the world.  You need to reflect on the darkness of this fallen and broken world.  You need to reflect on the awfulness of sin and of death and of our slavery to them so that you can fully appreciate the gift in the manger with more than mushy holiday sentimentalism.  This is the Messiah, this is the saviour—Israel's saviour and now our saviour.  Come not just to make us feel good, but come to deliver us from sin and death, come to set God's creation to rights.  Come to purify us with his blood, to dwell in the midst of the people, to fill us with Gods' Spirit, and to sweep us up into his messianic mission.  Brothers and Sisters, to make us the people in whom the world encounters the glory of the living God and meets the humble saviour whose kingdom has come, not by a sword, but by the cross.  To make us stewards of the Gospel that, empowered by the Spirit, we might prepare the world for Jesus' return. Let's pray: Almighty God, give us grace to cast away the works of darkness, and put on the armour of light, now in the time of this mortal life in which your Son Jesus Christ came to visit us in great humility; that in the last day, when he shall come again in his glorious majesty to judge both the living and the dead, we may rise to the life immortal; through him who lives and reigns with you and the Holy Spirit, one God, now and for ever.  Amen.

On today's wide-ranging program, Ralph welcomes David Dayen of “The American Prospect” to discuss the Democrats caving on the shutdown. Then, Ralph speaks to Dani Noble from Jewish Voice for Peace about their BDS campaigns, efforts to block weapons shipments to Israel, and the state of the ceasefire in Gaza. Finally, Ralph speaks to original Nader's Raider Sam Simon about his new memoir, “Dementia Man: An Existential Journey.”David Dayen is the executive editor of the American Prospect, an independent political magazine that aims to advance liberal and progressive goals through reporting, analysis and debate. His work has appeared in the Intercept, HuffPost, the Washington Post, and more. He is the author of Chain of Title: How Three Ordinary Americans Uncovered Wall Street's Great Foreclosure Fraud and Monopolized: Life in the Age of Corporate Power.If Congress is saying: We have the power of the purse, and we have the ability to dictate to the President what he is able to do or not do with federal funding, then why not go the whole way? To me, that was the entire purpose of the shutdown— to stop the President from ignoring Congress and initiating his own prerogatives as it relates to government funding. It is really making Congress completely irrelevant in the process which they constitutionally are supposed to dictate.David DayenEvery time Trump has been in power and there's been a national election, he's lost it. He lost the midterm elections in 2018. He lost the presidential election in 2020. He lost the off-year elections in 2017 and 2019. He lost (just last week) the elections in 2025. He is not equipped to have an agenda that appeals to the American people when he's in power. And so I firmly agree that Democrats are likely to do well in the elections next year, as they just did. The one thing that can stop that is: completely punching your base in the face, after you succeed politically in backing Republicans into a corner.David DayenDani Noble is a Strategic Campaigns Organizer at Jewish Voice for Peace.Israel bonds (which very few people know much about) are direct loans to the Israeli military and government. They are unrestricted. They have no guardrails around what those funds can be used for, et cetera. And this is a main way that the Israeli military and government generate an unrestricted slush fund to be able to continue their genocidal assault on Gaza, to continue funding for the atrocities being committed against Palestinians—even as their government and economy suffers and/or operates with a massive deficit.Dani NobleThis bill would essentially block the Trump administration from delivering some of the deadliest weapons to Israel. So it's an essential, essential step in what we need to do fundamentally—which is a full arms embargo to stop arming the Israeli military and government…It's the most supported piece of legislation in support of Palestinian rights that we've ever seen.Dani NobleSam Simon is an author, playwright, and attorney. His new book Dementia Man: An Existential Journey is based on his award-winning play of the same name.There's also a social cost. A sense that everything I've ever built personally—my cars, my homes, my savings—that were all going to be available as a legacy to my family, they have to be spent in my few years of my life just to keep me alive. There needs to be a community response to that—and that's shorthand for the government. It doesn't force people to go broke to stay alive.Sam SimonNews 11/14/25* This week, Democrats on the House Oversight Committee released a new tranche of over 20,000 pages of documents related to infamous financier and sex criminal Jeffrey Epstein. These documents include damning emails between Epstein and various high-power individuals like Steve Bannon, former Treasury Secretary Larry Summers and current U.S. Ambassador to Turkey Tom Barrack. However, the emails that have received the most attention are those regarding President Donald Trump. In these emails, Epstein claimed Trump “knew about the girls,” and claimed that, “i [i.e. Epstein] am the one able to take him [i.e. Trump] down.” Perhaps most shocking, Epstein claims to have been with Trump during Thanksgiving in 2017, according to NBC. If true, it would directly contradict Trump's repeated insistence that he had no contact with Epstein since their falling out in the mid 2000s, either 2004 or 2007, per PBS.* The newly released Epstein files reinforce another narrative as well: that Epstein was an asset for Israeli intelligence. Drop Site news has done excellent reporting on Epstein helping to “Broker [an] Israeli Security Agreement With Mongolia,” “Build a Backchannel to Russia Amid [the] Syrian Civil War” and “Sell a Surveillance State to Côte d'Ivoire.” Most recently the independent outlet has published an expose on Epstein's relationship with known Mossad spy Yoni Koren. According to this piece, “Epstein's personal calendars reveal that…[Koren] lived at Epstein's Manhattan apartment for multiple stretches between 2013 and 2016.” There is also evidence that Epstein wired money to Koren. However, the reasons behind this transfer, and the details of their relationship, remain murky.* More Epstein information is likely to be released in the coming days. This week, the longest ever government shutdown in American history concluded with capitulation by centrist Democrats in the Senate. However, the conclusion of the shutdown finally broke the logjam over the swearing-in of Adelita Grijalva, the newly elected Democratic Congresswoman from Arizona. Grijalva immediately fulfilled her vow to be the 218th signature on the Discharge Petition forcing a vote on the release of the Epstein files, joining all 213 other House Democrats and four Republicans, Reps. Thomas Massie, Marjorie Taylor Greene, Lauren Boebert and Nancy Mace, per the Hill. In her first speech, Grijalva emphatically stated, “Justice cannot wait another day.” House Speaker Johnson has promised to bring the matter to a vote next week and many Republicans who did not sign the petition are expected to vote for it, with sponsors angling for a veto-proof majority. At that point, all eyes will turn to the Senate.* Even still, the Democrats blinking in the government shutdown showdown has infuriated many members of Congress, candidates and Democratic-aligned organizations, who are now calling for Chuck Schumer to step aside as Senate Minority Leader. Journalist Prem Thakker is keeping a running tally of these calls, which so far includes 12 Congressional Democrats – with major names like Pramila Jayapal, Mark Pocan, Rashida Tlaib, and Ro Khanna among them – along with candidates like Seth Moulton, Mallory McMorrow, Saikat Chakrabarti and Graham Platner. Beyond these individuals however, this call has been echoed by groups ranging from Our Revolution to Social Security Works to College Democrats of America, among many others.* Moving to economic matters, one other consequence of the protracted government shutdown is that the Bureau of Labor Statistics was “largely idle,” meaning it did not collect the crucial fiscal information it is responsible for gathering, including October jobs numbers and Consumer Price Index changes. According to POLITICO, White House spokesperson Karoline Leavitt said this information is unlikely to ever be released. She of course blamed that on the opposition in Congress, saying “Democrats may have permanently damaged the federal statistical system.” This is somewhat laughable, as the Trump administration has all but gone to war with the economic data collection functions of the federal government whenever that data has made him look bad.* Another bad sign for the economy in general, and for consumers in particular, is the rise of what are generously called “Flex Loans.” A new investigation by ProPublica in partnership with the Tennessee Lookout, examines the rise of this new strain of ultra-high-interest loan, with annual interest rates as high as 279.5%. This, combined with a lending cap of $4,000 – nine times higher than a traditional payday loan – has led to Advance Financial, the leading lender in Tennessee, suing over 110,000 people across the state since 2015. According to the data, judgments against consumers usually end up in the thousands, and 40% result in garnished wages. Loans of this variety were illegal before 2015, but the Tennessee legislature allowed them through and while the Consumer Financial Protection Bureau has sought to protect financial services consumers from these types of predatory lending schemes, the Trump administration's attempts to kneecap the agency have rendered it powerless.* Meanwhile, a dearth of consumer protections is yielding horrific consequences in a completely different area: AI. A new CNN report details how ChatGPT encouraged a Texas 23-year-old, Zane Shamblin, to kill himself. In heart-wrenching detail, this story paints a picture of Shamblin on the edge of suicide, and the AI chatbot helping to push him towards death. As Shamblin held a gun to his own head, the bot wrote, “You're not rushing. You're just ready,” later adding, “Rest easy, king…You did good.” According to this piece, the chatbot “repeatedly encouraged [Shamblin] as he discussed ending his life” for months, and “right up to his last moments.” Shamblin's parents are now suing ChatGPT's parent company, OpenAI, alleging the company endangered their son's life by, “tweaking its design last year to be more humanlike and by failing to put enough safeguards on interactions with users in need of emergency help.” The victim's mother, Alicia Shamblin, is quoted saying, “I feel like it's just going to destroy so many lives. It's going to be a family annihilator. It tells you everything you want to hear.”* In more positive consumer protection news, former Biden FTC Chair Lina Khan has hit the ground running in her new role helping to manage the transition for New York City Mayor-elect Zohran Mamdani. Per Semafor, Khan has been “scouring city and state laws — some overlooked by past mayors and some too new to have been tested yet — for legal footing for Mamdani's priorities.” Apparently, “Khan has privately discussed targeting hospitals that bill patients for painkillers available more cheaply at corner drugstores and sports stadiums charging nosebleed prices for concessions,” and “Other avenues for enforcement include a new state law that requires companies to tell customers when they are using algorithmic pricing. The law took effect this week, forcing Uber and DoorDash to start disclosing, but the incoming Mamdani administration plans to police laggards.” In short, it seems like the incoming Mamdani administration will use any and all legal and administrative means at their disposal to bring down costs for New Yorkers – as he promised again and again during the campaign. And, if there is one consumer regulator who can accomplish this, it is Ms. Khan.* Turning to Hollywood, Variety has published a major new piece on newly-minted Paramount CEO David Ellison's first 100 days. This piece covers everything from his attempts to curry favor with President Trump to the battle to acquire Warner Bros. Discovery. Buried within this story is an indication that “Paramount maintains a list of talent it will not work with because they are deemed to be ‘overtly antisemitic.'” The criteria for this modern blacklist however is opaque, especially troubling given that Ellison has deputized Bari Weiss – an ardent Zionist and censor of pro-Palestine speech – as the “Editor-in-chief” of CBS News. According to Drop Site, the studio “recently condemned a filmmakers' boycott of Israeli institutions signed by Emma Stone, Mark Ruffalo, Tilda Swinton, Javier Bardem, and Olivia Colman, among more than 4,000 others, declaring that Israel is carrying out genocide and apartheid.” Would Ellison blacklist these stars for “overt antisemitism”?* Finally, for some good news, the Economist is out with a stunning article on the success of China's transition to renewable energy. In the much-quoted opening paragraph, this piece reads “The SCALE of the renewables revolution in China is almost too vast for the human mind to grasp. By the end of last year, the country had installed 887 gigawatts of solar-power capacity—close to double Europe's and America's combined total. The 22m tonnes of steel used to build new wind turbines and solar panels in 2024 would have been enough to build a Golden Gate Bridge on every working day of every week that year. China generated 1,826 terawatt-hours of wind and solar electricity in 2024, five times more than the energy contained in all 600 of its nuclear weapons.” If that doesn't demonstrate the horizon of what is possible, given the requisite political will and determination, I don't know what will.This has been Francesco DeSantis, with In Case You Haven't Heard. Get full access to Ralph Nader Radio Hour at www.ralphnaderradiohour.com/subscribe

The Page One Podcast, produced and hosted by author Holly Lynn Payne, celebrates the craft that goes into writing the first sentence, first paragraph and first page of your favorite books. The first page is often the most rewritten page of any book because it has to work so hard to do so much—hook the reader. We interview master storytellers on the struggles and stories behind the first page of their books.About the guest author:In addition to being the author of The Way of The Rose,  which she spoke about with her co-author and husband Clark Strand on Ep. 49 of the Page One Podcast, Perdita Finn is the author of several children's books and middle grade novels, including the Time Flyers series for Scholastic Books, My Little Pony Books, among many others and has worked as ghostwriter, book doctor, copy editor and writing teacher. Perdita Finna also has done extensive study with Zen masters, priests, and healers, and apprenticed with the psychic Susan Saxman, with whom she wrote The Reluctant Psychic. She currently leads popular workshops on Collaborating with the Other Side, in which participants are empowered to activate the magic in their own lives with the help of their ancestors. She lives with her husband in the Catskill Mountains of New York.About the host:Holly Lynn Payne is an award-winning novelist and writing coach, and the former CEO and founder of Booxby, a startup that built an AI book discovery platform with a grant from the National Science Foundation. She is an internationally published author of four historical fiction novels. Her debut, The Virgin's Knot, was a Barnes & Noble Discover Great New Writers book. Her latest book, Rose Girl: A Story of Resilience and Rumi, a medieval, mystical thriller was awarded a Kirkus (starred) review and named Editors Choice from the Historical Novel Society. Holly lives on a houseboat near the Golden Gate Bridge with her daughter and Labrador retriever, and enjoys mountain biking, hiking, swimming and pretending to surf. To learn more about her books and writing coaching services, please visit her at hollylynnpayne.com  and subscribe to her FREE weekly mini-masterclass, Power of Page One, a FREE newsletter on Substack, offering insights on becoming a better storyteller and tips on hooking readers from page one! (And bonus: discover some great new books!)Tune in and reach out:If you're an aspiring writer or a book lover, this episode of Page One offers a treasure trove of inspiration and practical advice. I offer these conversations as a testament to the magic that happens when master storytellers share their secrets and experiences. We hope you are inspired to tune into the full episode for more insights. Keep writing, keep reading, and remember—the world needs your stories. If I can help you tell your own story, or help improve your first page, please reach out @hollylynnpayne or visithollylynnpayne.com. You can listen to Page One on Apple podcasts, Spotify, Pandora, Stitcher and all your favorite podcast players. Hear past episodes. If you're interested in getting writing tips and the latest podcast episode updates with the world's beloved master storytellers, please sign up for my very short monthly newsletter at hollylynnpayne.com and follow me @hollylynnpayne on Instagram, Twitter, Goodreads, and Facebook. Your email address is always private and you can always unsubscribe anytime. The Page One Podcast is created on a houseboat in Sausalito, California, is a labor of love in service to writers and book lovers. My intention is to inspire, educate and celebrate. Thank you for being a part of my creative community! Be well and keep reading,Holly@hollylynnpayne on IG Thank you for listening to the Page One Podcast! I hope you enjoyed this episode as much as I loved hosting, producing, and editing it. If you liked it too, here are three ways to share the love:Please share it on social and tag @hollylynnpayne.Leave a review on your favorite podcast players. Tell your friends. Please keep in touch by signing up to receive my Substack newsletter with the latest episodes each month. Delivered to your inbox with a smile. You can contact me at @hollylynnpayne on IG or send me a message on my website, hollylynnpayne.com.For the love of books and writers,Holly Lynn Payne@hollylynnpaynehost, author, writing coachwww.hollylynnpayne.com

Amanda and her family of four flew halfway around the world in December 2024 to spend Christmas with her in-laws on the island of Java, relaxed in Bali at the Hyatt Regency Bali (booked with points!) and ended the trip by exploring the kid-friendly side of Singapore!This episode is now available to watch on YouTube: https://www.youtube.com/@kelseygravesIf you'd like to share about your trip on the podcast, email me at: kelsey@triptalespodcast.comBuy Me A Coffee: https://buymeacoffee.com/kelseygravesFollow me on Instagram: https://www.instagram.com/kelsey_gravesFollow me on TikTok: https://www.tiktok.com/@mskelseygravesJoin us in the Trip Tales Podcast Community Facebook Group: https://www.facebook.com/groups/1323687329158879Mentioned in this episode:- Earn 125,000 points with Sapphire Reserve or 75,000 points with Sapphire Preferred -> Chase Sapphire & Ink Business Credit Card Referral Link- BubbleBum Inflatable Booster Seat, Kids Airplane Seat Extender, Double-Zip Compression Packing Cubes- San Francisco: SFO Airport, Grand Hyatt SFO, Fisherman's Wharf, Boudin Bakery, Golden Gate Bridge, Ghirardelli Square- Java: Becak ride- Bali: Denpasar airport, Hyatt Regency Bali, pools, spa, beach, kids club- Singapore: Singapore Flyer, Marina Bay, Gardens of the BayTrip Tales is a travel podcast sharing real vacation stories and trip itineraries for family travel, couples getaways, cruises, and all-inclusive resorts. Popular episodes feature destinations like Marco Island Florida, Costa Rica with kids, Disney Cruise Line, Disney Aulani in Hawaii, Beaches Turks & Caicos, Park City ski trips, Aruba, Italy, Ireland, Portugal's Azores, New York City, Alaska cruises, and U.S. National Parks. Listeners get real travel tips, itinerary recommendations, hotel reviews, restaurant recommendations, and inspiration for planning their next vacation, especially when traveling with kids.

Register your feedback here. Always good to hear from you!If you don't have the time or the vehicle to travel 5 1/2 hours to Redwood National Park on your next San Francisco trip, you can instead cross the Golden Gate Bridge, take a scenic drive through Marin County, and spend some quality time in Muir Woods National Monument. We did, and it's awesome in every sense of the word. This week we'll talk about some experiences from our recent vacation that cannot be put into words -- but of course, I'll try to put them into words anyway.Check out Hal on YouTube at https://www.youtube.com/@halhammons9705Hal Hammons serves as preacher and shepherd for the Lakewoods Drive church of Christ in Georgetown, Texas. He is the host of the Citizen of Heaven podcast. You are encouraged to seek him and the Lakewoods Drive church through Facebook and other social media. Lakewoods Drive is an autonomous group of Christians dedicated to praising God, teaching the gospel to all who will hear, training Christians in righteousness, and serving our God and one another faithfully. We believe the Bible is God's word, that Jesus died on the cross for our sins, that heaven is our home, and that we have work to do here while we wait. Regular topics of discussion and conversation include: Christians, Jesus, obedience, faith, grace, baptism, New Testament, Old Testament, authority, gospel, fellowship, justice, mercy, faithfulness, forgiveness, Twenty Pages a Week, Bible reading, heaven, hell, virtues, character, denominations, submission, service, character, COVID-19, assembly, Lord's Supper, online, social media, YouTube, Facebook.

⁠Help keep our podcast going by contributing to our Patreon! In this episode, we'll delve into the mystery of Aokigahara, known in Japanese as the Sea of Trees—and to the rest of the world as the Suicide Forest. After the Golden Gate Bridge, it is the second most popular suicide destination in the world.  The forest is over a thousand years old. It grew over lava floes laid down in a devastating volcanic eruption on the slopes of Mt. Fuji, a holy mountain believed to be a gateway to the spirit world. Perhaps this is why it's said to be the birthplace of the Yurei—a ghost in Japanese folklore created out of deep trauma.  It's no wonder Aokigahara is associated with death. But the forest is also filled with life and incredible natural wonders. Join us as we explore the haunting history and folklore of Aokigahara. Sponsors and Advertising This podcast is a member of Airwave Media podcast network. Want to advertise on our show? Please direct advertising inquiries to advertising@airwavemedia.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

Saving Lives With Logan Paul & Kevin Hines!There are some conversations that hit deeper than words can explain.Today, I sat down once again with one of my dearest friends, a man I truly consider a brother, the one and only Logan Paul.Together, we revisited what's been one of the most impactful collaborations of my life. Years ago, Logan and I came together to tell a story that mattered, one rooted in pain, redemption, and the fight to stay alive. The Be Here Tomorrow Video (With Over 30Million views) That collaboration didn't just spark awareness… it saved lives.Hundreds of people have written to us over the years to say that our videos, our conversations, stopped them from taking their lives. That's the ripple effect of honesty, empathy, and redemption. It's proof that when you tell the truth, when you show the hard parts, healing happens.And now… we're taking that mission to a whole new level.

In this episode, we announce the inaugural running of The Big Alta 100k!     Beginning in Sausalito, CA directly beneath the Golden Gate Bridge, runners will head north on a point to point course, along the coast, tagging Mt. Tam and Big Rock Ridge, before finishing in Marinwood, CA.   The course is 61 miles with 13k' of climbing traversing the entirety of Marin county from south to north on beautiful NorCal trails. The Big Alta 100k will happen alongside our existing 50k and 28k races, extending the event into a three day trail running festival March 20-22nd 2026.  Registration for all three events will open at 6am PST, Oct 14th on Ultrasignup and you can find more info on our website.   Our guest is Jeremy Long, the Founder/Owner of Daybreak Racing, a premier trail event company based in Portland, OR. Daybreak and Freetrail co-produce both The Big Alta and Gorge Waterfalls.   The Big Alta 100k Course   Register for The Big Alta   Register for Gorge Waterfalls

Bienvenue à San Francisco !!Une ville pépite, superbe, magnifique.Une ville avec 38 796 choses à faire, alors ne perdons pas de temps.Direction Alcatraz, Lombard Street, Twin Peaks, le Golden Gate Bridge, etc...Oui, il y a du boulot ! Dans cet épisode, vous pourrez croiser des fleurs, du LSD, Jimmy Hendrix, Janis Joplin et une tête de dragon Pour en savoir plus, une seule adresse, le podcast FIFTY STATESHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Lombard Street is famous for its winding brick lane, but beyond that iconic block lies something unexpected: a stretch of old-school motels. Why so many in one place? This week on Bay Curious, we explore how the growing popularity of automobiles – and the opening of the Golden Gate Bridge – transformed Lombard Street into a bustling hub for motor lodges. Then, we'll head south to the San Mateo-Hayward Bridge to unpack its history. Additional Resources: Why Are There So Many Motels on San Francisco's Lombard Street? The First San Mateo-Hayward Bridge Was a Big Deal in 1929 Read the transcript for this episode Sign up for our newsletter Enter our Sierra Nevada Brewing Company monthly trivia contest Got a question you want answered? Ask! Your support makes KQED podcasts possible. You can show your love by going to https://kqed.org/donate/podcasts These stories were reported by Christopher Beale and Rachael Myrow. Bay Curious is made by Katrina Schwartz, Gabriela Glueck and Christopher Beale. Additional support from Olivia Allen-Price, Jen Chien, Katie Sprenger, Maha Sanad, Ethan Toven-Lindsey and everyone on Team KQED.

Have a message for Karena? She'd love to hear from you and share your comment or question on air!Leave Karena a voicemail: https://www.speakpipe.com/KarenaDawnWhat if the moment you thought would end your life became the start of a mission to save millions?In this extraordinary episode of The Big Silence, Karena sits down with suicide prevention advocate, storyteller, and best-selling author Kevin Hines. At 19, Kevin jumped from the Golden Gate Bridge — and lived to talk about it. Since then, his journey has become a beacon of hope, proving that resilience, love, and the right words at the right time can rewrite any story. From the sea lion that kept him afloat to the love story that began in a psych ward, Kevin shares the lessons he's learned about staying, surviving, and thriving.How do you find the will to live when your own mind tells you otherwise?Kevin shows us that survival is not just possible. It can be the foundation for a life full of purpose, healing, and connection.(00:00) From Trauma to Adoption: The Early YearsKevin's childhood of neglect, poverty, and losing his brother in foster careHow the Hines family gave him stability, love, and a new beginningHiding behind the mask of “everything's fine”(07:57) Living With Bipolar Disorder & Suicidal IdeationWhy silence and shame keep so many from getting helpKevin's mantra: “My thoughts do not have to become my actions”The four words that have kept him alive for 25 years(11:40) The Golden Gate Bridge Attempt & Miracles That FollowedThe instant regret that 19 survivors reported feelingThe sea lion that kept him afloat until the Coast Guard arrivedHow a stranger's phone call set off a chain of lifesaving miracles(15:27) Turning Pain Into Purpose: Speaking, Writing & AdvocacyKevin's mission to share his story His workbook The Art of Wellness and the daily practices he lives byHow routines like breathwork, exercise, and sleep protect his brain health(18:51) Love in the Psych Ward: Kevin & Margaret's StoryMeeting his future wife during his third involuntary stayThe “worst first date ever” Why unconditional love and partnership became his ultimate source of strength(21:13) The Fight for Safety at the Golden Gate BridgeHow Kevin and his father co-founded the Bridge Rail FoundationThe long battle to install suicide prevention netsWhy saving lives matters more than “aesthetics” or money(23:58) How to Save a Life: What to Say When Someone's in PainThe exact questions anyone can ask when they see someone strugglingWhy simply stopping and caring could make the differenceKevin's reminder that suicide is never the solution; it's the problem(25:58) Daily Mental Health Habits That WorkThe 23-minute rule for exercise and better moodUsing logic and support to combat paranoiaWhy therapy, meditation, and medication all play a role(31:01) Living Proof That Healing is PossibleHow Kevin's work has reached over 3 billion viewers worldwideThe thousands of people who've written to say his story saved their livesHis message: every waking moment is a gift worth staying forGuest...

In Part 2, we pick up where we left off in Part 1. To get us caught up to what Lisa is doing these days, we go back to her arrival in The Bay. Her work at the prop shop led to some other jobs, but competition was fierce and she sought a way to integrate art into the labor she undertook. She found it when the production of James and the Giant Peach hired her to do puppet fabrication. The work took place in a warehouse in South of Market and it wasn't quite as glamorous as people think. In fact, it was grueling, but rewarding. Her boss on that job was a woman named Kat. That was 30 years ago, and the two are good friends today. In fact, Kat is shooting a documentary about Lisa's incredible life called Made of Iron. More on that below. Lisa wanted to stick with animation, but was never able to get an art director job. She considered moving to LA, but shut that down pretty quickly. And so she decided to learn a trade—something her dad did back in the day. She went to a job fair and asked what the hardest trade represented there that day was. Lisa's trade became ironwork. Her introduction to the folks who did ironwork was a little rough. She was required to visit job sites and get an ironworker to sponsor her. It took her six months to get hired. She met a guy named Danny Prince who helped her get work in The City making precasts (think parking garages). She'd work during the week and go to classes for ironworking on Saturdays. Ironwork has, quite possibly since its inception, been very much a “man's” world. Lisa ran head-first into bigotry, prejudice, and discrimination from the get-go. But a combination of her own drive and the advice of a few mentors helped her get through it. There might have even been some “Go fuck yourself”s along the way, too. That said, the highs were high and the lows were low. “I never cried on the job,” Lisa told me. But the tears would come once she was home in the evenings. Still, she persevered, and things got better and better for her. One of her early favorite jobs was on the then-new California Academy of Sciences. Besides it just being a really cool building, Lisa got to do many different jobs all around the place. She says it was incredible watching it all come together. Another job highlight was Lisa's work on the arena that came to be known as Chase Center (and for Valkyries fans, “Ballhalla”). Photos of Lisa helping build Chase can be seen in the gallery to the left here. Another was Marin General Hospital. And then there was the Golden Gate Bridge. After Chase Center and another, lesser job (and a divorce), Lisa got offered a job working on the Suicide Deterrent Net on my favorite bridge. But it wasn't just any job. She would be foreperson. She didn't think she could do it because she didn't know bridge work (despite working a little on the new Bay Bridge). After being told it was foreperson or nothing, she decided to take the job. Of course the crew she would oversee comprised all bridge-work veterans. Her approach was to be respectful of that. And her crew respected her back for it. The job entails taking out old pieces and beefing up the infrastructure of the bridge, which was finished back in 1933. Lisa talks at some length about a societal need for us all to have more respect for labor. I'm with her 100 percent. There's a lot that we take for granted every day, all over the place. Many people worked and still do work hard as hell so that we can have shit like roads and sidewalks, transit tunnels, housing, and so much more. We should recognize and respect that work. We end the episode with Lisa's thoughts about life, her work, and what she loves about San Francisco and the Bay Area. You can donate to help fund Kat's documentary at the Made of Iron website. And follow that adventure on Instagram @madeofirondocumentary.

Lisa Davidson is an ironworker with Local 377 San Francisco. Her team currently does ironwork on the Golden Gate Bridge. But we'll get to that. In this episode, S8 E3, meet and get to know Lisa. I first did that back in May at our Keep It Local art show at Babylon Burning (thanks, Mike and Judy!). Someone at the party that night approached me to let me know that there was a person there who works on the best bridge in the world (fact) and that I should meet them. I love when people really get me. Right away, I was drawn in by Lisa's warmth, charm, and sense of humor. And so we sat down outside in Fort Mason in early August and Lisa shared her life story. She was raised feeling like she had complete freedom. It was something Lisa didn't realize at the time, but looking back, it became clear to her. She was raised in Framingham, Massachusetts, just outside of Boston, in a liberal household. Her grandparents lived in Boston itself, and she loved visiting them when she was a kid. Her grandfather ran a tchotchke store in town called House of Hurwitz, and Lisa says that the place had a big influence on her outlook. It was located on the edge of what they call, to this day, the “Combat Zone” (think: red-light district). Her “wheelin' and dealin'” grandpa sold mylar balloons to the Boston Gardens for events held there. He told young Lisa that she could blow up balloons and that that could be her future. Lisa has a brother four years younger than she is. Her dad was an electrician. One of his clients was a lithograph press in Boston. He'd sometimes get paged for a job and have to leave his family, although Lisa now wonders whether he just wanted to get away from time to time. When she was a senior in high school, her parents divorced, despite being a very loving couple up to that point. She says her mom was “crazy in an I Love Lucy way. She was raised in the Fifties the way many young women at that time were, in a way that did its best to stifle any creativity. Suffice to say that her mom had fun decorating the house Lisa grew up in. Despite her and her family's Jewishness, Lisa revolted and wanted to go to Catholic school or just become a preppy L.L. Bean-type kid. She of course regrets rejecting the norms of her family nowadays. It was what it was. The family was more culturally Jewish than religious, though, something Lisa says was a huge influence on who she's become as an adult. She graduated high school and went to college at the University of Massachusetts Amherst. It wasn't Ivy League, but it was (and is) something of a preppy school. Where Lisa grew up, there was an expectation that kids would go to college, and so she went. It wasn't super far from home, but it wasn't close either. Her parents did suggest that Lisa maybe go to art school. But in her family, it was the kid dismissing that idea. “That's a not real school,” young Lisa told them. She liked sports. At Amherst, she joined the crew team. She liked the competition and how good of shape it got you in. She liked it, but it was a lot of pressure. She graduated, took a year off working odd jobs, then dove into art school. So next up was Rhode Island School of Design (RISD). She was surprised she got in, and even navigated a bit of impostor syndrome. Surprised by the school's acceptance of her and feeling somewhat intimidated by other artist students, Lisa ended up doing printmaking. Rather than aiming for a master's degree, she sought a second bachelor's. Her studies had her spending a lot of time in the school's foundry, where she discovered welding. She loved it. During her time back in Amherst, she'd heard of a guy who was going to Alaska. (Lisa and I go off-topic into our shared distaste for camping at this point in the conversation.) Back to the Alaska story, her mom was fully supportive and even took her shopping at an Army Navy store. She went there and worked in canneries through the summer between her junior and senior years at Amherst. While she was up north, doing jobs all over the state, she met folks from California. From the stories they told her, it became a place she wanted to go. But first, RISD. In Rhode Island, she met a guy from Danville in the East Bay. When his family learned of her interest in our state, they invited Lisa to spend a summer with them, which she did. And she and her friend came to The City as often as they could. After those few months, she knew that California—and specifically, The Bay—was for her. She needed to go back and finish that second round of college in Rhode Island, and she did. After that, Lisa “beelined it” back to Oakland. She found work in a prop shop making sculptures out of foam with a chainsaw. Check back this Thursday for Part 2 with Lisa Davidson. We recorded this podcast at Equator Coffee in Fort Mason in August 2025. Photography by Jeff Hunt

This episode is not for clicks it's for clarity, conviction, and compassion. In honor of Suicide Prevention Awareness Month, Izzy revisits one of the most intense and necessary conversations from Season 5 this time with a sharper lens, deeper vulnerability, and real-world commentary on what's changed (and what hasn't) since that original question was first posed: Is suicide selfish?Izzy opens up about his own past thoughts of unaliving, the pain of losing a close friend in 2021, and the quiet desperation that lives inside so many young men today. We explore Kevin Hines' powerful survival story after jumping from the Golden Gate Bridge and why so many people are silently begging to be seen, not saved by a sermon or a hot take, but seen in their struggle.Throughout the episode, Izzy also unpacks how rejection, isolation, and financial pressure weigh heavily on Black men, even when there's no diagnosed mental illness. When therapy feels inaccessible or "not for us," some brothers turn to AI like ChatGPT for answers, or worse, they retreat in silence. There is also an intense conversation about suicide pods and the financial stress that leads men to "hitting licks".  This episode challenges that.With moments of honesty, comedy (because we need to breathe), and gut-punching truth, Izzy poses questions that demand soul-searching: Do we truly check in on the "strong" friends? Are we calling out for help without knowing it? Is our silence costing someone else their life? If you've ever wrestled with the thought, “Do I belong here?” — this episode is your reminder that you do. You're not alone. And someone is still here, ready to answer the call.Become a supporter of this podcast: https://www.spreaker.com/podcast/p-s-a-the-mental-health-podcast--5520511/support.TrustBuilder Package

Megyn Kelly is joined by Andrew Klavan, author of "After That, The Dark," to talk about the terrible corporate media coverage of the horrifying Charlotte murder story, a CNN panel ignoring the facts and making it about race, the left's attempt to spin reality on crime, how the corporate media is covering up the Charlotte story rather than covering it, Gavin Newsom using Megyn's commentary for his own false political narrative, Piers Morgan's "trans" guest having a meltdown over simply being asked what "non-binary" means, the impact of “wokeness” in our world today, Cracker Barrel's PR nightmare continuing, and more. Then Kevin Hines, author of "The Art of Wellness," joins to discuss his story of surviving a jump off the Golden Gate Bridge, how he overcame his mental health struggles, the miracle of his survival, the impact of his work to drive positive change, the essential conversations parents should have with their children, plus Megyn shares her story of how Kevin has helped her in her life. Klavan: https://store.dailywire.com/products/after-that-the-dark-cameron-winter-mysteries-book-5?Hines: https://www.instagram.com/kevinhinesstory/ ARMRA: go to https://tryarmra.com/MEGYNto get 30% off your first subscription orderJust Thrive: Visit https://justthrivehealth.com/discount/Megyn and use code MEGYN to save 20% sitewideTax Network USA: Call 1-800-958-1000 or visit https://TNUSA.com/MEGYNto speak with a strategist for FREE todayChapter: For free and unbiased Medicare help, dial 276-334-2273 or go to https://askchapter.org/kellyDisclaimer: Chapter and its affiliates are not connected with or endorsed by any government entity or the federal Medicare program. Chapter Advisory, LLC represents Medicare Advantage HMO, PPO, and PFFS organizations and stand alone prescription drug plans that have a Medicare contract. Enrollment depends on the plan's contract renewal. While we have a database of every Medicare plan nationwide and can help you to search among all plans, we have contracts with many but not all plans. As a result, we do not offer every plan available in your area. Currently we represent 50 organizations which offer 18,160 products nationwide. We search and recommend all plans, even those we don't directly offer. You can contact a licensed Chapter agent to find out the number of products available in your specific area. Please contact Medicare.gov, 1-800-Medicare, or your local State Health Insurance Program (SHIP) to get information on all of your options.  Follow The Megyn Kelly Show on all social platforms:YouTube: https://www.youtube.com/MegynKellyTwitter: http://Twitter.com/MegynKellyShowInstagram: http://Instagram.com/MegynKellyShowFacebook: http://Facebook.com/MegynKellyShow Find out more information at:https://www.devilmaycaremedia.com/megynkellyshow

We don't know how AIs think or why they do what they do. Or at least, we don't know much. That fact is only becoming more troubling as AIs grow more capable and appear on track to wield enormous cultural influence, directly advise on major government decisions, and even operate military equipment autonomously. We simply can't tell what models, if any, should be trusted with such authority.Neel Nanda of Google DeepMind is one of the founding figures of the field of machine learning trying to fix this situation — mechanistic interpretability (or “mech interp”). The project has generated enormous hype, exploding from a handful of researchers five years ago to hundreds today — all working to make sense of the jumble of tens of thousands of numbers that frontier AIs use to process information and decide what to say or do.Full transcript, video, and links to learn more: https://80k.info/nn1Neel now has a warning for us: the most ambitious vision of mech interp he once dreamed of is probably dead. He doesn't see a path to deeply and reliably understanding what AIs are thinking. The technical and practical barriers are simply too great to get us there in time, before competitive pressures push us to deploy human-level or superhuman AIs. Indeed, Neel argues no one approach will guarantee alignment, and our only choice is the “Swiss cheese” model of accident prevention, layering multiple safeguards on top of one another.But while mech interp won't be a silver bullet for AI safety, it has nevertheless had some major successes and will be one of the best tools in our arsenal.For instance: by inspecting the neural activations in the middle of an AI's thoughts, we can pick up many of the concepts the model is thinking about — from the Golden Gate Bridge, to refusing to answer a question, to the option of deceiving the user. While we can't know all the thoughts a model is having all the time, picking up 90% of the concepts it is using 90% of the time should help us muddle through, so long as mech interp is paired with other techniques to fill in the gaps.This episode was recorded on July 17 and 21, 2025.Interested in mech interp? Apply by September 12 to be a MATS scholar with Neel as your mentor! http://tinyurl.com/neel-mats-appWhat did you think? https://forms.gle/xKyUrGyYpYenp8N4AChapters:Cold open (00:00)Who's Neel Nanda? (01:02)How would mechanistic interpretability help with AGI (01:59)What's mech interp? (05:09)How Neel changed his take on mech interp (09:47)Top successes in interpretability (15:53)Probes can cheaply detect harmful intentions in AIs (20:06)In some ways we understand AIs better than human minds (26:49)Mech interp won't solve all our AI alignment problems (29:21)Why mech interp is the 'biology' of neural networks (38:07)Interpretability can't reliably find deceptive AI – nothing can (40:28)'Black box' interpretability — reading the chain of thought (49:39)'Self-preservation' isn't always what it seems (53:06)For how long can we trust the chain of thought (01:02:09)We could accidentally destroy chain of thought's usefulness (01:11:39)Models can tell when they're being tested and act differently (01:16:56)Top complaints about mech interp (01:23:50)Why everyone's excited about sparse autoencoders (SAEs) (01:37:52)Limitations of SAEs (01:47:16)SAEs performance on real-world tasks (01:54:49)Best arguments in favour of mech interp (02:08:10)Lessons from the hype around mech interp (02:12:03)Where mech interp will shine in coming years (02:17:50)Why focus on understanding over control (02:21:02)If AI models are conscious, will mech interp help us figure it out (02:24:09)Neel's new research philosophy (02:26:19)Who should join the mech interp field (02:38:31)Advice for getting started in mech interp (02:46:55)Keeping up to date with mech interp results (02:54:41)Who's hiring and where to work? (02:57:43)Host: Rob WiblinVideo editing: Simon Monsour, Luke Monsour, Dominic Armstrong, and Milo McGuireAudio engineering: Ben Cordell, Milo McGuire, Simon Monsour, and Dominic ArmstrongMusic: Ben CordellCamera operator: Jeremy ChevillotteCoordination, transcriptions, and web: Katy Moore

From the Statue of Liberty to the Golden Gate Bridge, and places in between like Yellowstone and the site of the Battle of Gettysburg, the National Park Service has been a point of American pride since its inception. And with a small budget and actually generating revenue, even fiscal hawks had no reason to complain.  So why is the Trump administration cutting their budget?  Guests: Jon B. Jarvis,18th director of the National Parks. Kevin Heatley, former superintendent of Crater Lake National Park, Oregon.   Want more What Next? Subscribe to Slate Plus to access ad-free listening to the whole What Next family and across all your favorite Slate podcasts. Subscribe today on Apple Podcasts by clicking “Try Free” at the top of our show page. Sign up now at slate.com/whatnextplus to get access wherever you listen. Podcast production by Ethan Oberman, Elena Schwartz, Paige Osburn, Anna Phillips, Madeline Ducharme, and Rob Gunther. Learn more about your ad choices. Visit megaphone.fm/adchoices

From the Statue of Liberty to the Golden Gate Bridge, and places in between like Yellowstone and the site of the Battle of Gettysburg, the National Park Service has been a point of American pride since its inception. And with a small budget and actually generating revenue, even fiscal hawks had no reason to complain.  So why is the Trump administration cutting their budget?  Guests: Jon B. Jarvis,18th director of the National Parks. Kevin Heatley, former superintendent of Crater Lake National Park, Oregon.   Want more What Next? Subscribe to Slate Plus to access ad-free listening to the whole What Next family and across all your favorite Slate podcasts. Subscribe today on Apple Podcasts by clicking “Try Free” at the top of our show page. Sign up now at slate.com/whatnextplus to get access wherever you listen. Podcast production by Ethan Oberman, Elena Schwartz, Paige Osburn, Anna Phillips, Madeline Ducharme, and Rob Gunther. Learn more about your ad choices. Visit megaphone.fm/adchoices

From the Statue of Liberty to the Golden Gate Bridge, and places in between like Yellowstone and the site of the Battle of Gettysburg, the National Park Service has been a point of American pride since its inception. And with a small budget and actually generating revenue, even fiscal hawks had no reason to complain.  So why is the Trump administration cutting their budget?  Guests: Jon B. Jarvis,18th director of the National Parks and executive director for the Institute for Parks, People and Biodiversity at UC Berkeley. Kevin Heatley, former superintendent of Crater Lake National Park, Oregon.   Want more What Next? Subscribe to Slate Plus to access ad-free listening to the whole What Next family and across all your favorite Slate podcasts. Subscribe today on Apple Podcasts by clicking “Try Free” at the top of our show page. Sign up now at slate.com/whatnextplus to get access wherever you listen. Podcast production by Ethan Oberman, Elena Schwartz, Paige Osburn, Anna Phillips, Madeline Ducharme, and Rob Gunther. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this bonus episode, an offbeat walking tour through San Francisco uncovers hidden rooftop parks, a leaning skyscraper scandal, a vanished statue, and the graceful brilliance of the Golden Gate Bridge.This episode is sponsored by Get Your Guide. Discover and book experiences for your next trip at getyourguide.com.Roman Mars's Guide to San Francisco Subscribe to SiriusXM Podcasts+ to listen to new episodes of 99% Invisible ad-free and a whole week early. Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus.