Podcasts about totems

Segment 1 with Michael E. Gerber starts at 0.00Inc. Magazine calls him “the World's #1 Small Business Guru” — the entrepreneurial and small business thought leader who has impacted the lives of millions of small business owners and hundreds of thousands of companies worldwide for over 40 years.Michael E. Gerber is a celebrated entrepreneur, author, and business coach renowned for his groundbreaking book, "The E Myth: Why Most Businesses Don't Work and What to Do About It." With a career spanning several decades, he has transformed the way small businesses operate by emphasizing the importance of effective systems and strategic planning. Gerber's philosophy encourages entrepreneurs to work on their business rather than merely in it, fostering sustainable growth and innovation.  Segment 2 with Allen Batteau starts at 18:49.Why are we tie our self worth and identity to tech devices? Why do advances in tech many times disappoint us? Allen Batteau is a cultural anthropologist, professor at Wayne State University's Department of Anthropology, and former director of the University's Institute for Information Technology and Culture. He is the author of "Tools, Totems, and Totalities"Become a supporter of this podcast: https://www.spreaker.com/podcast/the-small-business-radio-show--3306444/support.

President Trump's signing of an executive order calling for the downsizing of the US Department of Education (DOE) raises concerns related to the federal versus state balance in K-12 policy. Michael Hartney, the Hoover Institution's Bruni Family fellow, discusses the book he is currently writing on the 2020 pandemic's lasting impact on schools, and then he examines Trump's executive order on downsizing the DOE. Hartney talks about the lessons learned five years after COVID-19 temporary halted in-classroom instruction, and then Hartney discusses the potency of cultural issues in the greater education debate, plus whether teachers' unions have the same political clout they enjoyed pre-COVID. Recorded on March 20, 2025.

Brian and Lee talk with Allen Batteau, co-author of the book “Tools, Totems, and Totalities: The Modern Construction of Hegemonic Technology.” Learn why modern societies on technofixes to address complex […] The post The Brian and Lee Show: Interview with Allen Batteau appeared first on WWDB-AM.

【欢迎订阅】每天早上5:30，准时更新。【阅读原文】标题:Donald Trump 2024 TIME Person of the Year正文：Mar-a-Lago was quiet three days before Thanksgiving. Donald Trump's Moorish palace seemed all but deserted late that morning, the seaside estate's cavernous living room traversed intermittently by a junior staffer or silent aide. Totems to Trump were displayed everywhere. Framed magazines with him on the cover hung by the front door. On a table near the fireplace sat a cast-bronze eagle awarded him by the singer Lee Greenwood. In the men's lavatory, a picture of him with Arnold Palmer hung near the urinals. Adorning a wall in the library bar, a painting titled The Visionary depicted Trump in a tennis sweater, trim and youthful. The empty rooms felt less like a millionaire members' club than a museum.知识点：thanksgiving n. /ˌθæŋksˈɡɪvɪŋ/a public holiday in the US (on the fourth Thursday in November) and in Canada (on the second Monday in October), originally to give thanks to God for the harvest and for health 感恩节• Are you going home for Thanksgiving?你回家过感恩节吗？获取外刊的完整原文以及精讲笔记，请关注微信公众号「早安英文」，回复“外刊”即可。更多有意思的英语干货等着你！【节目介绍】《早安英文-每日外刊精读》，带你精读最新外刊，了解国际最热事件：分析语法结构，拆解长难句，最接地气的翻译，还有重点词汇讲解。所有选题均来自于《经济学人》《纽约时报》《华尔街日报》《华盛顿邮报》《大西洋月刊》《科学杂志》《国家地理》等国际一线外刊。【适合谁听】1、关注时事热点新闻，想要学习最新最潮流英文表达的英文学习者2、任何想通过地道英文提高听、说、读、写能力的英文学习者3、想快速掌握表达，有出国学习和旅游计划的英语爱好者4、参加各类英语考试的应试者（如大学英语四六级、托福雅思、考研等）【你将获得】1、超过1000篇外刊精读课程，拓展丰富语言表达和文化背景2、逐词、逐句精确讲解，系统掌握英语词汇、听力、阅读和语法3、每期内附学习笔记，包含全文注释、长难句解析、疑难语法点等，帮助扫除阅读障碍。

Phil's website https://podcast.unexplainedinc.com/Make a Donation to Forbidden Knowledge News https://www.paypal.me/forbiddenknowledgenehttps://buymeacoffee.com/forbiddenReconnect to Everything with BrainsupremeGet 25% off your order here!!https://brainsupreme.co/discount/FKN15Subscribe to Cory Hughe's "Bloody History" substackhttps://bloodyhistory.substack.comSign up for the IMT crypto community Imt.networkBook a free consultation with Jennifer Halcame Emailjenniferhalcame@gmail.comFacebook pagehttps://www.facebook.com/profile.php?id=61561665957079&mibextid=ZbWKwLSick of having mediocre health? Transform your health and vitality with Christian Yordanov's program. Learn more and book a free intro call here (mention FKN at time of booking and he will have a special gift for youhttps://christianyordanov.com/fkn/Watch The Forbidden Documentary: Occult Louisiana on Tubi: https://link.tubi.tv/pGXW6chxCJbC60 PurplePowerhttps://go.shopc60.com/FORBIDDEN10/or use coupon code knowledge10FKN Link Treehttps://linktr.ee/FKNlinksForbidden Knowledge Network https://forbiddenknowledge.news/ Sign up on Rokfin!https://rokfin.com/fknplusPodcastshttps://www.spreaker.com/show/forbiddenAvailable on all platforms Support FKN on Spreaker https://spreaker.page.link/KoPgfbEq8kcsR5oj9FKN ON Rumblehttps://rumble.com/c/FKNpGet Cory Hughes Book!https://www.buymeacoffee.com/jfkbookhttps://www.amazon.com/Warning-History-Cory-Hughes/dp/B0CL14VQY6/ref=mp_s_a_1_1?crid=72HEFZQA7TAP&keywords=a+warning+from+history+cory+hughes&qid=1698861279&sprefix=a+warning+fro%2Caps%2C121&sr=8-1https://coryhughes.org/Johnny Larson's artworkhttps://www.patreon.com/JohnnyLarsonYouTube https://youtube.com/@fknclipspBecome Self-Sufficient With A Food Forest!!https://foodforestabundance.com/get-started/?ref=CHRISTOPHERMATHUse coupon code: FORBIDDEN for discountsThe FKN Store!https://www.fknstore.net/Our Facebook pageshttps://www.facebook.com/forbiddenknowledgenewsconspiracy/https://www.facebook.com/FKNNetwork/Instagram @forbiddenknowledgenews1@forbiddenknowledgenetworkXhttps://x.com/ForbiddenKnow10?t=uO5AqEtDuHdF9fXYtCUtfw&s=09Email meforbiddenknowledgenews@gmail.comsome music thanks to:https://www.bensound.com/Become a supporter of this podcast: https://www.spreaker.com/podcast/forbidden-knowledge-news--3589233/support.

Shoot us a Text.Welcome Michael Wood to the show to talk about the Jaguar vision reveal and it seems GM is backing off its battery building game. We are on the ground in St Augustine filming More Than Cars season 2 so follow us along on social media to see what we get into today. Show Notes with links:Jaguar's latest concept car, the Type 00, was unveiled at Miami Art Week, showcasing a radical design departure for the iconic brand. The design cues will inform Jaguar's electric grand tourer slated for 2026.Features sharp, angular styling with a "strikethrough" design motif.The cabin is influenced by architecture, featuring brass bars and a stone seat plinth."Totems" offer personalized experiences with lighting, scents, and soundscapes.Two striking color schemes: Satin Rhodon Rose and Inception Silver Blue.Marks the rebirth of Jaguar with a focus on sustainable luxury and bold aesthetics.GM will sell its stake in the $2.6 billion Ultium Cells battery plant in Lansing, Mich., to LG Energy Solution. The facility, nearly complete, will become wholly owned by LG and supply batteries to another automaker. GM expects to recover its full $1 billion investment in the plant.The site currently has around 100 employees and plans to scale to 1,700 when fully operational.GM CFO Paul Jacobson stated the move aligns with improving EV profitability and efficiency, emphasizing, “We believe we have the right cell and manufacturing capabilities in place to grow with the EV market in a capital efficient manner.”This sale does not affect GM's stakes in other Ultium battery plants in Ohio, Tennessee, or its planned partnership with Samsung SDI in Indiana.GM and LG will continue to co-develop prismatic battery cells to reduce costs and improve energy density, alongside introducing more affordable lithium iron phosphate cells for North American EVs.LG Executive Wonjoon Suh noted the deepening collaboration, saying, “Together with GM, we've already made tremendous progress.”Hosts: Paul J Daly and Kyle MountsierGet the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/ Read our most recent email at: https://www.asotu.com/media/push-back-email

This week, we dive into a good movie, no… a GREAT movie with Christopher Nolan's Memento! A film that's 1,000 times better than Floppenheimer. In our most humble opinion, Memento is one of the best examples of non-linear storytelling. But is it a perfect movie? Listen along and find out. Missing memory man is manipulated to murder! Tarantino's fetal-alcohol forehead? Joe Pantoliano and his sinister mustache! Rounding off the Arnold aesthetic. Narrator knows nothing, but needs knowledge for the film watchers! Banter for breathings! Totems for tracking the timeline! All encompassing ambiguity intentionally obscuring the objective! Crucial skidmark Safeway inspection and consumption? Chris' pavlovian paradiddles! Bob saw Quiz Show! Denis Leary's vortex of douchedom! Chris' secret swamp sauce recipe, and much, much more on this week's episode of The Worst Movie Ever Made! www.theworstmovieevermade.com 

We are recording our next big recap episode and taking questions! Submit questions and messages on Speakpipe here for a chance to appear on the show!Also subscribe to our calendar for our Singapore, NeurIPS, and all upcoming meetups!In our first ever episode with Logan Kilpatrick we called out the two hottest LLM frameworks at the time: LangChain and Dust. We've had Harrison from LangChain on twice (as a guest and as a co-host), and we've now finally come full circle as Stanislas from Dust joined us in the studio.After stints at Oracle and Stripe, Stan had joined OpenAI to work on mathematical reasoning capabilities. He describes his time at OpenAI as "the PhD I always wanted to do" while acknowledging the challenges of research work: "You're digging into a field all day long for weeks and weeks, and you find something, you get super excited for 12 seconds. And at the 13 seconds, you're like, 'oh, yeah, that was obvious.' And you go back to digging." This experience, combined with early access to GPT-4's capabilities, shaped his decision to start Dust: "If we believe in AGI and if we believe the timelines might not be too long, it's actually the last train leaving the station to start a company. After that, it's going to be computers all the way down."The History of DustDust's journey can be broken down into three phases:* Developer Framework (2022): Initially positioned as a competitor to LangChain, Dust started as a developer tooling platform. While both were open source, their approaches differed – LangChain focused on broad community adoption and integration as a pure developer experience, while Dust emphasized UI-driven development and better observability that wasn't just `print` statements.* Browser Extension (Early 2023): The company pivoted to building XP1, a browser extension that could interact with web content. This experiment helped validate user interaction patterns with AI, even while using less capable models than GPT-4.* Enterprise Platform (Current): Today, Dust has evolved into an infrastructure platform for deploying AI agents within companies, with impressive metrics like 88% daily active users in some deployments.The Case for Being HorizontalThe big discussion for early stage companies today is whether or not to be horizontal or vertical. Since models are so good at general tasks, a lot of companies are building vertical products that take care of a workflow end-to-end in order to offer more value and becoming more of “Services as Software”. Dust on the other hand is a platform for the users to build their own experiences, which has had a few advantages:* Maximum Penetration: Dust reports 60-70% weekly active users across entire companies, demonstrating the potential reach of horizontal solutions rather than selling into a single team.* Emergent Use Cases: By allowing non-technical users to create agents, Dust enables use cases to emerge organically from actual business needs rather than prescribed solutions.* Infrastructure Value: The platform approach creates lasting value through maintained integrations and connections, similar to how Stripe's value lies in maintaining payment infrastructure. Rather than relying on third-party integration providers, Dust maintains its own connections to ensure proper handling of different data types and structures.The Vertical ChallengeHowever, this approach comes with trade-offs:* Harder Go-to-Market: As Stan talked about: "We spike at penetration... but it makes our go-to-market much harder. Vertical solutions have a go-to-market that is much easier because they're like, 'oh, I'm going to solve the lawyer stuff.'"* Complex Infrastructure: Building a horizontal platform requires maintaining numerous integrations and handling diverse data types appropriately – from structured Salesforce data to unstructured Notion pages. As you scale integrations, the cost of maintaining them also scales. * Product Surface Complexity: Creating an interface that's both powerful and accessible to non-technical users requires careful design decisions, down to avoiding technical terms like "system prompt" in favor of "instructions." The Future of AI PlatformsStan initially predicted we'd see the first billion-dollar single-person company in 2023 (a prediction later echoed by Sam Altman), but he's now more focused on a different milestone: billion-dollar companies with engineering teams of just 20 people, enabled by AI assistance.This vision aligns with Dust's horizontal platform approach – building the infrastructure that allows small teams to achieve outsized impact through AI augmentation. Rather than replacing entire job functions (the vertical approach), they're betting on augmenting existing workflows across organizations.Full YouTube EpisodeChapters* 00:00:00 Introductions* 00:04:33 Joining OpenAI from Paris* 00:09:54 Research evolution and compute allocation at OpenAI* 00:13:12 Working with Ilya Sutskever and OpenAI's vision* 00:15:51 Leaving OpenAI to start Dust* 00:18:15 Early focus on browser extension and WebGPT-like functionality* 00:20:20 Dust as the infrastructure for agents* 00:24:03 Challenges of building with early AI models* 00:28:17 LLMs and Workflow Automation* 00:35:28 Building dependency graphs of agents* 00:37:34 Simulating API endpoints* 00:40:41 State of AI models* 00:43:19 Running evals* 00:46:36 Challenges in building AI agents infra* 00:49:21 Buy vs. build decisions for infrastructure components* 00:51:02 Future of SaaS and AI's Impact on Software* 00:53:07 The single employee $1B company race* 00:56:32 Horizontal vs. vertical approaches to AI agentsTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai.Swyx [00:00:11]: Hey, and today we're in a studio with Stanislas, welcome.Stan [00:00:14]: Thank you very much for having me.Swyx [00:00:16]: Visiting from Paris.Stan [00:00:17]: Paris.Swyx [00:00:18]: And you have had a very distinguished career. It's very hard to summarize, but you went to college in both Ecopolytechnique and Stanford, and then you worked in a number of places, Oracle, Totems, Stripe, and then OpenAI pre-ChatGPT. We'll talk, we'll spend a little bit of time about that. About two years ago, you left OpenAI to start Dust. I think you were one of the first OpenAI alum founders.Stan [00:00:40]: Yeah, I think it was about at the same time as the Adept guys, so that first wave.Swyx [00:00:46]: Yeah, and people really loved our David episode. We love a few sort of OpenAI stories, you know, for back in the day, like we're talking about pre-recording. Probably the statute of limitations on some of those stories has expired, so you can talk a little bit more freely without them coming after you. But maybe we'll just talk about, like, what was your journey into AI? You know, you were at Stripe for almost five years, there are a lot of Stripe alums going into OpenAI. I think the Stripe culture has come into OpenAI quite a bit.Stan [00:01:11]: Yeah, so I think the buses of Stripe people really started flowing in, I guess, after ChatGPT. But, yeah, my journey into AI is a... I mean, Greg Brockman. Yeah, yeah. From Greg, of course. And Daniela, actually, back in the days, Daniela Amodei.Swyx [00:01:27]: Yes, she was COO, I mean, she is COO, yeah. She had a pretty high job at OpenAI at the time, yeah, for sure.Stan [00:01:34]: My journey started as anybody else, you're fascinated with computer science and you want to make them think, it's awesome, but it doesn't work. I mean, it was a long time ago, it was like maybe 16, so it was 25 years ago. Then the first big exposure to AI would be at Stanford, and I'm going to, like, disclose a whole lamb, because at the time it was a class taught by Andrew Ng, and there was no deep learning. It was half features for vision and a star algorithm. So it was fun. But it was the early days of deep learning. At the time, I think a few years after, it was the first project at Google. But you know, that cat face or the human face trained from many images. I went to, hesitated doing a PhD, more in systems, eventually decided to go into getting a job. Went at Oracle, started a company, did a gazillion mistakes, got acquired by Stripe, worked with Greg Buckman there. And at the end of Stripe, I started interesting myself in AI again, felt like it was the time, you had the Atari games, you had the self-driving craziness at the time. And I started exploring projects, it felt like the Atari games were incredible, but there were still games. And I was looking into exploring projects that would have an impact on the world. And so I decided to explore three things, self-driving cars, cybersecurity and AI, and math and AI. It's like I sing it by a decreasing order of impact on the world, I guess.Swyx [00:03:01]: Discovering new math would be very foundational.Stan [00:03:03]: It is extremely foundational, but it's not as direct as driving people around.Swyx [00:03:07]: Sorry, you're doing this at Stripe, you're like thinking about your next move.Stan [00:03:09]: No, it was at Stripe, kind of a bit of time where I started exploring. I did a bunch of work with friends on trying to get RC cars to drive autonomously. Almost started a company in France or Europe about self-driving trucks. We decided to not go for it because it was probably very operational. And I think the idea of the company, of the team wasn't there. And also I realized that if I wake up a day and because of a bug I wrote, I killed a family, it would be a bad experience. And so I just decided like, no, that's just too crazy. And then I explored cybersecurity with a friend. We're trying to apply transformers to cut fuzzing. So cut fuzzing, you have kind of an algorithm that goes really fast and tries to mutate the inputs of a library to find bugs. And we tried to apply a transformer to that and do reinforcement learning with the signal of how much you propagate within the binary. Didn't work at all because the transformers are so slow compared to evolutionary algorithms that it kind of didn't work. Then I started interested in math and AI and started working on SAT solving with AI. And at the same time, OpenAI was kind of starting the reasoning team that were tackling that project as well. I was in touch with Greg and eventually got in touch with Ilya and finally found my way to OpenAI. I don't know how much you want to dig into that. The way to find your way to OpenAI when you're in Paris was kind of an interesting adventure as well.Swyx [00:04:33]: Please. And I want to note, this was a two-month journey. You did all this in two months.Stan [00:04:38]: The search.Swyx [00:04:40]: Your search for your next thing, because you left in July 2019 and then you joined OpenAI in September.Stan [00:04:45]: I'm going to be ashamed to say that.Swyx [00:04:47]: You were searching before. I was searching before.Stan [00:04:49]: I mean, it's normal. No, the truth is that I moved back to Paris through Stripe and I just felt the hardship of being remote from your team nine hours away. And so it kind of freed a bit of time for me to start the exploration before. Sorry, Patrick. Sorry, John.Swyx [00:05:05]: Hopefully they're listening. So you joined OpenAI from Paris and from like, obviously you had worked with Greg, but notStan [00:05:13]: anyone else. No. Yeah. So I had worked with Greg, but not Ilya, but I had started chatting with Ilya and Ilya was kind of excited because he knew that I was a good engineer through Greg, I presume, but I was not a trained researcher, didn't do a PhD, never did research. And I started chatting and he was excited all the way to the point where he was like, hey, come pass interviews, it's going to be fun. I think he didn't care where I was, he just wanted to try working together. So I go to SF, go through the interview process, get an offer. And so I get Bob McGrew on the phone for the first time, he's like, hey, Stan, it's awesome. You've got an offer. When are you coming to SF? I'm like, hey, it's awesome. I'm not coming to the SF. I'm based in Paris and we just moved. He was like, hey, it's awesome. Well, you don't have an offer anymore. Oh, my God. No, it wasn't as hard as that. But that's basically the idea. And it took me like maybe a couple more time to keep chatting and they eventually decided to try a contractor set up. And that's how I kind of started working at OpenAI, officially as a contractor, but in practice really felt like being an employee.Swyx [00:06:14]: What did you work on?Stan [00:06:15]: So it was solely focused on math and AI. And in particular in the application, so the study of the larger grid models, mathematical reasoning capabilities, and in particular in the context of formal mathematics. The motivation was simple, transformers are very creative, but yet they do mistakes. Formal math systems are of the ability to verify a proof and the tactics they can use to solve problems are very mechanical, so you miss the creativity. And so the idea was to try to explore both together. You would get the creativity of the LLMs and the kind of verification capabilities of the formal system. A formal system, just to give a little bit of context, is a system in which a proof is a program and the formal system is a type system, a type system that is so evolved that you can verify the program. If the type checks, it means that the program is correct.Swyx [00:07:06]: Is the verification much faster than actually executing the program?Stan [00:07:12]: Verification is instantaneous, basically. So the truth is that what you code in involves tactics that may involve computation to search for solutions. So it's not instantaneous. You do have to do the computation to expand the tactics into the actual proof. The verification of the proof at the very low level is instantaneous.Swyx [00:07:32]: How quickly do you run into like, you know, halting problem PNP type things, like impossibilities where you're just like that?Stan [00:07:39]: I mean, you don't run into it at the time. It was really trying to solve very easy problems. So I think the... Can you give an example of easy? Yeah, so that's the mass benchmark that everybody knows today. The Dan Hendricks one. The Dan Hendricks one, yeah. And I think it was the low end part of the mass benchmark at the time, because that mass benchmark includes AMC problems, AMC 8, AMC 10, 12. So these are the easy ones. Then AIME problems, somewhat harder, and some IMO problems, like Crazy Arm.Swyx [00:08:07]: For our listeners, we covered this in our Benchmarks 101 episode. AMC is literally the grade of like high school, grade 8, grade 10, grade 12. So you can solve this. Just briefly to mention this, because I don't think we'll touch on this again. There's a bit of work with like Lean, and then with, you know, more recently with DeepMind doing like scoring like silver on the IMO. Any commentary on like how math has evolved from your early work to today?Stan [00:08:34]: I mean, that result is mind blowing. I mean, from my perspective, spent three years on that. At the same time, Guillaume Lampe in Paris, we were both in Paris, actually. He was at FAIR, was working on some problems. We were pushing the boundaries, and the goal was the IMO. And we cracked a few problems here and there. But the idea of getting a medal at an IMO was like just remote. So this is an impressive result. And we can, I think the DeepMind team just did a good job of scaling. I think there's nothing too magical in their approach, even if it hasn't been published. There's a Dan Silver talk from seven days ago where it goes a little bit into more details. It feels like there's nothing magical there. It's really applying reinforcement learning and scaling up the amount of data that can generate through autoformalization. So we can dig into what autoformalization means if you want.Alessio [00:09:26]: Let's talk about the tail end, maybe, of the OpenAI. So you joined, and you're like, I'm going to work on math and do all of these things. I saw on one of your blog posts, you mentioned you fine-tuned over 10,000 models at OpenAI using 10 million A100 hours. How did the research evolve from the GPD 2, and then getting closer to DaVinci 003? And then you left just before ChatGPD was released, but tell people a bit more about the research path that took you there.Stan [00:09:54]: I can give you my perspective of it. I think at OpenAI, there's always been a large chunk of the compute that was reserved to train the GPTs, which makes sense. So it was pre-entropic splits. Most of the compute was going to a product called Nest, which was basically GPT-3. And then you had a bunch of, let's say, remote, not core research teams that were trying to explore maybe more specific problems or maybe the algorithm part of it. The interesting part, I don't know if it was where your question was going, is that in those labs, you're managing researchers. So by definition, you shouldn't be managing them. But in that space, there's a managing tool that is great, which is compute allocation. Basically by managing the compute allocation, you can message the team of where you think the priority should go. And so it was really a question of, you were free as a researcher to work on whatever you wanted. But if it was not aligned with OpenAI mission, and that's fair, you wouldn't get the compute allocation. As it happens, solving math was very much aligned with the direction of OpenAI. And so I was lucky to generally get the compute I needed to make good progress.Swyx [00:11:06]: What do you need to show as incremental results to get funded for further results?Stan [00:11:12]: It's an imperfect process because there's a bit of a... If you're working on math and AI, obviously there's kind of a prior that it's going to be aligned with the company. So it's much easier than to go into something much more risky, much riskier, I guess. You have to show incremental progress, I guess. It's like you ask for a certain amount of compute and you deliver a few weeks after and you demonstrate that you have a progress. Progress might be a positive result. Progress might be a strong negative result. And a strong negative result is actually often much harder to get or much more interesting than a positive result. And then it generally goes into, as any organization, you would have people finding your project or any other project cool and fancy. And so you would have that kind of phase of growing up compute allocation for it all the way to a point. And then maybe you reach an apex and then maybe you go back mostly to zero and restart the process because you're going in a different direction or something else. That's how I felt. Explore, exploit. Yeah, exactly. Exactly. Exactly. It's a reinforcement learning approach.Swyx [00:12:14]: Classic PhD student search process.Alessio [00:12:17]: And you were reporting to Ilya, like the results you were kind of bringing back to him or like what's the structure? It's almost like when you're doing such cutting edge research, you need to report to somebody who is actually really smart to understand that the direction is right.Stan [00:12:29]: So we had a reasoning team, which was working on reasoning, obviously, and so math in general. And that team had a manager, but Ilya was extremely involved in the team as an advisor, I guess. Since he brought me in OpenAI, I was lucky to mostly during the first years to have kind of a direct access to him. He would really coach me as a trainee researcher, I guess, with good engineering skills. And Ilya, I think at OpenAI, he was the one showing the North Star, right? He was his job and I think he really enjoyed it and he did it super well, was going through the teams and saying, this is where we should be going and trying to, you know, flock the different teams together towards an objective.Swyx [00:13:12]: I would say like the public perception of him is that he was the strongest believer in scaling. Oh, yeah. Obviously, he has always pursued the compression thesis. You have worked with him personally, what does the public not know about how he works?Stan [00:13:26]: I think he's really focused on building the vision and communicating the vision within the company, which was extremely useful. I was personally surprised that he spent so much time, you know, working on communicating that vision and getting the teams to work together versus...Swyx [00:13:40]: To be specific, vision is AGI? Oh, yeah.Stan [00:13:42]: Vision is like, yeah, it's the belief in compression and scanning computes. I remember when I started working on the Reasoning team, the excitement was really about scaling the compute around Reasoning and that was really the belief we wanted to ingrain in the team. And that's what has been useful to the team and with the DeepMind results shows that it was the right approach with the success of GPT-4 and stuff shows that it was the right approach.Swyx [00:14:06]: Was it according to the neural scaling laws, the Kaplan paper that was published?Stan [00:14:12]: I think it was before that, because those ones came with GPT-3, basically at the time of GPT-3 being released or being ready internally. But before that, there really was a strong belief in scale. I think it was just the belief that the transformer was a generic enough architecture that you could learn anything. And that was just a question of scaling.Alessio [00:14:33]: Any other fun stories you want to tell? Sam Altman, Greg, you know, anything.Stan [00:14:37]: Weirdly, I didn't work that much with Greg when I was at OpenAI. He had always been mostly focused on training the GPTs and rightfully so. One thing about Sam Altman, he really impressed me because when I joined, he had joined not that long ago and it felt like he was kind of a very high level CEO. And I was mind blown by how deep he was able to go into the subjects within a year or something, all the way to a situation where when I was having lunch by year two, I was at OpenAI with him. He would just quite know deeply what I was doing. With no ML background. Yeah, with no ML background, but I didn't have any either, so I guess that explains why. But I think it's a question about, you don't necessarily need to understand the very technicalities of how things are done, but you need to understand what's the goal and what's being done and what are the recent results and all of that in you. And we could have kind of a very productive discussion. And that really impressed me, given the size at the time of OpenAI, which was not negligible.Swyx [00:15:44]: Yeah. I mean, you've been a, you were a founder before, you're a founder now, and you've seen Sam as a founder. How has he affected you as a founder?Stan [00:15:51]: I think having that capability of changing the scale of your attention in the company, because most of the time you operate at a very high level, but being able to go deep down and being in the known of what's happening on the ground is something that I feel is really enlightening. That's not a place in which I ever was as a founder, because first company, we went all the way to 10 people. Current company, there's 25 of us. So the high level, the sky and the ground are pretty much at the same place. No, you're being too humble.Swyx [00:16:21]: I mean, Stripe was also like a huge rocket ship.Stan [00:16:23]: Stripe, I was a founder. So I was, like at OpenAI, I was really happy being on the ground, pushing the machine, making it work. Yeah.Swyx [00:16:31]: Last OpenAI question. The Anthropic split you mentioned, you were around for that. Very dramatic. David also left around that time, you left. This year, we've also had a similar management shakeup, let's just call it. Can you compare what it was like going through that split during that time? And then like, does that have any similarities now? Like, are we going to see a new Anthropic emerge from these folks that just left?Stan [00:16:54]: That I really, really don't know. At the time, the split was pretty surprising because they had been trying GPT-3, it was a success. And to be completely transparent, I wasn't in the weeds of the splits. What I understood of it is that there was a disagreement of the commercialization of that technology. I think the focal point of that disagreement was the fact that we started working on the API and wanted to make those models available through an API. Is that really the core disagreement? I don't know.Swyx [00:17:25]: Was it safety?Stan [00:17:26]: Was it commercialization?Swyx [00:17:27]: Or did they just want to start a company?Stan [00:17:28]: Exactly. Exactly. That I don't know. But I think what I was surprised of is how quickly OpenAI recovered at the time. And I think it's just because we were mostly a research org and the mission was so clear that some divergence in some teams, some people leave, the mission is still there. We have the compute. We have a site. So it just keeps going.Swyx [00:17:50]: Very deep bench. Like just a lot of talent. Yeah.Alessio [00:17:53]: So that was the OpenAI part of the history. Exactly. So then you leave OpenAI in September 2022. And I would say in Silicon Valley, the two hottest companies at the time were you and Lanktrain. What was that start like and why did you decide to start with a more developer focused kind of like an AI engineer tool rather than going back into some more research and something else?Stan [00:18:15]: Yeah. First, I'm not a trained researcher. So going through OpenAI was really kind of the PhD I always wanted to do. But research is hard. You're digging into a field all day long for weeks and weeks and weeks, and you find something, you get super excited for 12 seconds. And at the 13 seconds, you're like, oh, yeah, that was obvious. And you go back to digging. I'm not a trained, like formally trained researcher, and it wasn't kind of a necessarily an ambition of me of creating, of having a research career. And I felt the hardness of it. I enjoyed a lot of like that a ton. But at the time, I decided that I wanted to go back to something more productive. And the other fun motivation was like, I mean, if we believe in AGI and if we believe the timelines might not be too long, it's actually the last train leaving the station to start a company. After that, it's going to be computers all the way down. And so that was kind of the true motivation for like trying to go there. So that's kind of the core motivation at the beginning of personally. And the motivation for starting a company was pretty simple. I had seen GPT-4 internally at the time, it was September 2022. So it was pre-GPT, but GPT-4 was ready since, I mean, I'd been ready for a few months internally. I was like, okay, that's obvious, the capabilities are there to create an insane amount of value to the world. And yet the deployment is not there yet. The revenue of OpenAI at the time were ridiculously small compared to what it is today. So the thesis was, there's probably a lot to be done at the product level to unlock the usage.Alessio [00:19:49]: Yeah. Let's talk a bit more about the form factor, maybe. I think one of the first successes you had was kind of like the WebGPT-like thing, like using the models to traverse the web and like summarize things. And the browser was really the interface. Why did you start with the browser? Like what was it important? And then you built XP1, which was kind of like the browser extension.Stan [00:20:09]: So the starting point at the time was, if you wanted to talk about LLMs, it was still a rather small community, a community of mostly researchers and to some extent, very early adopters, very early engineers. It was almost inconceivable to just build a product and go sell it to the enterprise, though at the time there was a few companies doing that. The one on marketing, I don't remember its name, Jasper. But so the natural first intention, the first, first, first intention was to go to the developers and try to create tooling for them to create product on top of those models. And so that's what Dust was originally. It was quite different than Lanchain, and Lanchain just beat the s**t out of us, which is great. It's a choice.Swyx [00:20:53]: You were cloud, in closed source. They were open source.Stan [00:20:56]: Yeah. So technically we were open source and we still are open source, but I think that doesn't really matter. I had the strong belief from my research time that you cannot create an LLM-based workflow on just one example. Basically, if you just have one example, you overfit. So as you develop your interaction, your orchestration around the LLM, you need a dozen examples. Obviously, if you're running a dozen examples on a multi-step workflow, you start paralyzing stuff. And if you do that in the console, you just have like a messy stream of tokens going out and it's very hard to observe what's going there. And so the idea was to go with an UI so that you could kind of introspect easily the output of each interaction with the model and dig into there through an UI, which is-Swyx [00:21:42]: Was that open source? I actually didn't come across it.Stan [00:21:44]: Oh yeah, it wasn't. I mean, Dust is entirely open source even today. We're not going for an open source-Swyx [00:21:48]: If it matters, I didn't know that.Stan [00:21:49]: No, no, no, no, no. The reason why is because we're not open source because we're not doing an open source strategy. It's not an open source go-to-market at all. We're open source because we can and it's fun.Swyx [00:21:59]: Open source is marketing. You have all the downsides of open source, which is like people can clone you.Stan [00:22:03]: But I think that downside is a big fallacy. Okay. Yes, anybody can clone Dust today, but the value of Dust is not the current state. The value of Dust is the number of eyeballs and hands of developers that are creating to it in the future. And so yes, anybody can clone it today, but that wouldn't change anything. There is some value in being open source. In a discussion with the security team, you can be extremely transparent and just show the code. When you have discussion with users and there's a bug or a feature missing, you can just point to the issue, show the pull request, show the, show the, exactly, oh, PR welcome. That doesn't happen that much, but you can show the progress if the person that you're chatting with is a little bit technical, they really enjoy seeing the pull request advancing and seeing all the way to deploy. And then the downsides are mostly around security. You never want to do security by obfuscation. But the truth is that your vector of attack is facilitated by you being open source. But at the same time, it's a good thing because if you're doing anything like a bug bountying or stuff like that, you just give much more tools to the bug bountiers so that their output is much better. So there's many, many, many trade-offs. I don't believe in the value of the code base per se. I think it's really the people that are on the code base that have the value and go to market and the product and all of those things that are around the code base. Obviously, that's not true for every code base. If you're working on a very secret kernel to accelerate the inference of LLMs, I would buy that you don't want to be open source. But for product stuff, I really think there's very little risk. Yeah.Alessio [00:23:39]: I signed up for XP1, I was looking, January 2023. I think at the time you were on DaVinci 003. Given that you had seen GPD 4, how did you feel having to push a product out that was using this model that was so inferior? And you're like, please, just use it today. I promise it's going to get better. Just overall, as a founder, how do you build something that maybe doesn't quite work with the model today, but you're just expecting the new model to be better?Stan [00:24:03]: Yeah, so actually, XP1 was even on a smaller one that was the post-GDPT release, small version, so it was... Ada, Babbage... No, no, no, not that far away. But it was the small version of GDPT, basically. I don't remember its name. Yes, you have a frustration there. But at the same time, I think XP1 was designed, was an experiment, but was designed as a way to be useful at the current capability of the model. If you just want to extract data from a LinkedIn page, that model was just fine. If you want to summarize an article on a newspaper, that model was just fine. And so it was really a question of trying to find a product that works with the current capability, knowing that you will always have tailwinds as models get better and faster and cheaper. So that was kind of a... There's a bit of a frustration because you know what's out there and you know that you don't have access to it yet. It's also interesting to try to find a product that works with the current capability.Alessio [00:24:55]: And we highlighted XP1 in our anatomy of autonomy post in April of last year, which was, you know, where are all the agents, right? So now we spent 30 minutes getting to what you're building now. So you basically had a developer framework, then you had a browser extension, then you had all these things, and then you kind of got to where Dust is today. So maybe just give people an overview of what Dust is today and the courtesies behind it. Yeah, of course.Stan [00:25:20]: So Dust, we really want to build the infrastructure so that companies can deploy agents within their teams. We are horizontal by nature because we strongly believe in the emergence of use cases from the people having access to creating an agent that don't need to be developers. They have to be thinkers. They have to be curious. But anybody can create an agent that will solve an operational thing that they're doing in their day-to-day job. And to make those agents useful, there's two focus, which is interesting. The first one is an infrastructure focus. You have to build the pipes so that the agent has access to the data. You have to build the pipes such that the agents can take action, can access the web, et cetera. So that's really an infrastructure play. Maintaining connections to Notion, Slack, GitHub, all of them is a lot of work. It is boring work, boring infrastructure work, but that's something that we know is extremely valuable in the same way that Stripe is extremely valuable because it maintains the pipes. And we have that dual focus because we're also building the product for people to use it. And there it's fascinating because everything started from the conversational interface, obviously, which is a great starting point. But we're only scratching the surface, right? I think we are at the pong level of LLM productization. And we haven't invented the C3. We haven't invented Counter-Strike. We haven't invented Cyberpunk 2077. So this is really our mission is to really create the product that lets people equip themselves to just get away all the work that can be automated or assisted by LLMs.Alessio [00:26:57]: And can you just comment on different takes that people had? So maybe the most open is like auto-GPT. It's just kind of like just trying to do anything. It's like it's all magic. There's no way for you to do anything. Then you had the ADAPT, you know, we had David on the podcast. They're very like super hands-on with each individual customer to build super tailored. How do you decide where to draw the line between this is magic? This is exposed to you, especially in a market where most people don't know how to build with AI at all. So if you expect them to do the thing, they're probably not going to do it. Yeah, exactly.Stan [00:27:29]: So the auto-GPT approach obviously is extremely exciting, but we know that the agentic capability of models are not quite there yet. It just gets lost. So we're starting, we're starting where it works. Same with the XP one. And where it works is pretty simple. It's like simple workflows that involve a couple tools where you don't even need to have the model decide which tools it's used in the sense of you just want people to put it in the instructions. It's like take that page, do that search, pick up that document, do the work that I want in the format I want, and give me the results. There's no smartness there, right? In terms of orchestrating the tools, it's mostly using English for people to program a workflow where you don't have the constraint of having compatible API between the two.Swyx [00:28:17]: That kind of personal automation, would you say it's kind of like an LLM Zapier type ofStan [00:28:22]: thing?Swyx [00:28:22]: Like if this, then that, and then, you know, do this, then this. You're programming with English?Stan [00:28:28]: So you're programming with English. So you're just saying, oh, do this and then that. You can even create some form of APIs. You say, when I give you the command X, do this. When I give you the command Y, do this. And you describe the workflow. But you don't have to create boxes and create the workflow explicitly. It just needs to describe what are the tasks supposed to be and make the tool available to the agent. The tool can be a semantic search. The tool can be querying into a structured database. The tool can be searching on the web. And obviously, the interesting tools that we're only starting to scratch are actually creating external actions like reimbursing something on Stripe, sending an email, clicking on a button in the admin or something like that.Swyx [00:29:11]: Do you maintain all these integrations?Stan [00:29:13]: Today, we maintain most of the integrations. We do always have an escape hatch for people to kind of custom integrate. But the reality is that the reality of the market today is that people just want it to work, right? And so it's mostly us maintaining the integration. As an example, a very good source of information that is tricky to productize is Salesforce. Because Salesforce is basically a database and a UI. And they do the f**k they want with it. And so every company has different models and stuff like that. So right now, we don't support it natively. And the type of support or real native support will be slightly more complex than just osing into it, like is the case with Slack as an example. Because it's probably going to be, oh, you want to connect your Salesforce to us? Give us the SQL. That's the Salesforce QL language. Give us the queries you want us to run on it and inject in the context of dust. So that's interesting how not only integrations are cool, and some of them require a bit of work on the user. And for some of them that are really valuable to our users, but we don't support yet, they can just build them internally and push the data to us.Swyx [00:30:18]: I think I understand the Salesforce thing. But let me just clarify, are you using browser automation because there's no API for something?Stan [00:30:24]: No, no, no, no. In that case, so we do have browser automation for all the use cases and apply the public web. But for most of the integration with the internal system of the company, it really runs through API.Swyx [00:30:35]: Haven't you felt the pull to RPA, browser automation, that kind of stuff?Stan [00:30:39]: I mean, what I've been saying for a long time, maybe I'm wrong, is that if the future is that you're going to stand in front of a computer and looking at an agent clicking on stuff, then I'll hit my computer. And my computer is a big Lenovo. It's black. Doesn't sound good at all compared to a Mac. And if the APIs are there, we should use them. There is going to be a long tail of stuff that don't have APIs, but as the world is moving forward, that's disappearing. So the core API value in the past has really been, oh, this old 90s product doesn't have an API. So I need to use the UI to automate. I think for most of the ICP companies, the companies that ICP for us, the scale ups that are between 500 and 5,000 people, tech companies, most of the SaaS they use have APIs. Now there's an interesting question for the open web, because there are stuff that you want to do that involve websites that don't necessarily have APIs. And the current state of web integration from, which is us and OpenAI and Anthropic, I don't even know if they have web navigation, but I don't think so. The current state of affair is really, really broken because you have what? You have basically search and headless browsing. But headless browsing, I think everybody's doing basically body.innertext and fill that into the model, right?Swyx [00:31:56]: MARK MIRCHANDANI There's parsers into Markdown and stuff.Stan [00:31:58]: FRANCESC CAMPOY I'm super excited by the companies that are exploring the capability of rendering a web page into a way that is compatible for a model, being able to maintain the selector. So that's basically the place where to click in the page through that process, expose the actions to the model, have the model select an action in a way that is compatible with model, which is not a big page of a full DOM that is very noisy, and then being able to decompress that back to the original page and take the action. And that's something that is really exciting and that will kind of change the level of things that agents can do on the web. That I feel exciting, but I also feel that the bulk of the useful stuff that you can do within the company can be done through API. The data can be retrieved by API. The actions can be taken through API.Swyx [00:32:44]: For listeners, I'll note that you're basically completely disagreeing with David Wan. FRANCESC CAMPOY Exactly, exactly. I've seen it since it's summer. ADEPT is where it is, and Dust is where it is. So Dust is still standing.Alessio [00:32:55]: Can we just quickly comment on function calling? You mentioned you don't need the models to be that smart to actually pick the tools. Have you seen the models not be good enough? Or is it just like, you just don't want to put the complexity in there? Like, is there any room for improvement left in function calling? Or do you feel you usually consistently get always the right response, the right parametersStan [00:33:13]: and all of that?Alessio [00:33:13]: FRANCESC CAMPOY So that's a tricky product question.Stan [00:33:15]: Because if the instructions are good and precise, then you don't have any issue, because it's scripted for you. And the model will just look at the scripts and just follow and say, oh, he's probably talking about that action, and I'm going to use it. And the parameters are kind of abused from the state of the conversation. I'll just go with it. If you provide a very high level, kind of an auto-GPT-esque level in the instructions and provide 16 different tools to your model, yes, we're seeing the models in that state making mistakes. And there is obviously some progress can be made on the capabilities. But the interesting part is that there is already so much work that can assist, augment, accelerate by just going with pretty simply scripted for actions agents. What I'm excited about by pushing our users to create rather simple agents is that once you have those working really well, you can create meta agents that use the agents as actions. And all of a sudden, you can kind of have a hierarchy of responsibility that will probably get you almost to the point of the auto-GPT value. It requires the construction of intermediary artifacts, but you're probably going to be able to achieve something great. I'll give you some example. We have our incidents are shared in Slack in a specific channel, or shipped are shared in Slack. We have a weekly meeting where we have a table about incidents and shipped stuff. We're not writing that weekly meeting table anymore. We have an assistant that just go find the right data on Slack and create the table for us. And that assistant works perfectly. It's trivially simple, right? Take one week of data from that channel and just create the table. And then we have in that weekly meeting, obviously some graphs and reporting about our financials and our progress and our ARR. And we've created assistants to generate those graphs directly. And those assistants works great. By creating those assistants that cover those small parts of that weekly meeting, slowly we're getting to in a world where we'll have a weekly meeting assistance. We'll just call it. You don't need to prompt it. You don't need to say anything. It's going to run those different assistants and get that notion page just ready. And by doing that, if you get there, and that's an objective for us to us using Dust, get there, you're saving an hour of company time every time you run it. Yeah.Alessio [00:35:28]: That's my pet topic of NPM for agents. How do you build dependency graphs of agents? And how do you share them? Because why do I have to rebuild some of the smaller levels of what you built already?Swyx [00:35:40]: I have a quick follow-up question on agents managing other agents. It's a topic of a lot of research, both from Microsoft and even in startups. What you've discovered best practice for, let's say like a manager agent controlling a bunch of small agents. It's two-way communication. I don't know if there should be a protocol format.Stan [00:35:59]: To be completely honest, the state we are at right now is creating the simple agents. So we haven't even explored yet the meta agents. We know it's there. We know it's going to be valuable. We know it's going to be awesome. But we're starting there because it's the simplest place to start. And it's also what the market understands. If you go to a company, random SaaS B2B company, not necessarily specialized in AI, and you take an operational team and you tell them, build some tooling for yourself, they'll understand the small agents. If you tell them, build AutoGP, they'll be like, Auto what?Swyx [00:36:31]: And I noticed that in your language, you're very much focused on non-technical users. You don't really mention API here. You mention instruction instead of system prompt, right? That's very conscious.Stan [00:36:41]: Yeah, it's very conscious. It's a mark of our designer, Ed, who kind of pushed us to create a friendly product. I was knee-deep into AI when I started, obviously. And my co-founder, Gabriel, was a Stripe as well. We started a company together that got acquired by Stripe 15 years ago. It was at Alain, a healthcare company in Paris. After that, it was a little bit less so knee-deep in AI, but really focused on product. And I didn't realize how important it is to make that technology not scary to end users. It didn't feel scary to me, but it was really seen by Ed, our designer, that it was feeling scary to the users. And so we were very proactive and very deliberate about creating a brand that feels not too scary and creating a wording and a language, as you say, that really tried to communicate the fact that it's going to be fine. It's going to be easy. You're going to make it.Alessio [00:37:34]: And another big point that David had about ADAPT is we need to build an environment for the agents to act. And then if you have the environment, you can simulate what they do. How's that different when you're interacting with APIs and you're kind of touching systems that you cannot really simulate? If you call it the Salesforce API, you're just calling it.Stan [00:37:52]: So I think that goes back to the DNA of the companies that are very different. ADAPT, I think, was a product company with a very strong research DNA, and they were still doing research. One of their goals was building a model. And that's why they raised a large amount of money, et cetera. We are 100% deliberately a product company. We don't do research. We don't train models. We don't even run GPUs. We're using the models that exist, and we try to push the product boundary as far as possible with the existing models. So that creates an issue. Indeed, so to answer your question, when you're interacting in the real world, well, you cannot simulate, so you cannot improve the models. Even improving your instructions is complicated for a builder. The hope is that you can use models to evaluate the conversations so that you can get at least feedback and you could get contradictive information about the performance of the assistance. But if you take actual trace of interaction of humans with those agents, it is even for us humans extremely hard to decide whether it was a productive interaction or a really bad interaction. You don't know why the person left. You don't know if they left happy or not. So being extremely, extremely, extremely pragmatic here, it becomes a product issue. We have to build a product that identifies the end users to provide feedback so that as a first step, the person that is building the agent can iterate on it. As a second step, maybe later when we start training model and post-training, et cetera, we can optimize around that for each of those companies. Yeah.Alessio [00:39:17]: Do you see in the future products offering kind of like a simulation environment, the same way all SaaS now kind of offers APIs to build programmatically? Like in cybersecurity, there are a lot of companies working on building simulative environments so that then you can use agents like Red Team, but I haven't really seen that.Stan [00:39:34]: Yeah, no, me neither. That's a super interesting question. I think it's really going to depend on how much, because you need to simulate to generate data, you need to train data to train models. And the question at the end is, are we going to be training models or are we just going to be using frontier models as they are? On that question, I don't have a strong opinion. It might be the case that we'll be training models because in all of those AI first products, the model is so close to the product surface that as you get big and you want to really own your product, you're going to have to own the model as well. Owning the model doesn't mean doing the pre-training, that would be crazy. But at least having an internal post-training realignment loop, it makes a lot of sense. And so if we see many companies going towards that all the time, then there might be incentives for the SaaS's of the world to provide assistance in getting there. But at the same time, there's a tension because those SaaS, they don't want to be interacted by agents, they want the human to click on the button. Yeah, they got to sell seats. Exactly.Swyx [00:40:41]: Just a quick question on models. I'm sure you've used many, probably not just OpenAI. Would you characterize some models as better than others? Do you use any open source models? What have been the trends in models over the last two years?Stan [00:40:53]: We've seen over the past two years kind of a bit of a race in between models. And at times, it's the OpenAI model that is the best. At times, it's the Anthropic models that is the best. Our take on that is that we are agnostic and we let our users pick their model. Oh, they choose? Yeah, so when you create an assistant or an agent, you can just say, oh, I'm going to run it on GP4, GP4 Turbo, or...Swyx [00:41:16]: Don't you think for the non-technical user, that is actually an abstraction that you should take away from them?Stan [00:41:20]: We have a sane default. So we move the default to the latest model that is cool. And we have a sane default, and it's actually not very visible. In our flow to create an agent, you would have to go in advance and go pick your model. So this is something that the technical person will care about. But that's something that obviously is a bit too complicated for the...Swyx [00:41:40]: And do you care most about function calling or instruction following or something else?Stan [00:41:44]: I think we care most for function calling because you want to... There's nothing worse than a function call, including incorrect parameters or being a bit off because it just drives the whole interaction off.Swyx [00:41:56]: Yeah, so got the Berkeley function calling.Stan [00:42:00]: These days, it's funny how the comparison between GP4O and GP4 Turbo is still up in the air on function calling. I personally don't have proof, but I know many people, and I'm probably part of them, to think that GP4 Turbo is still better than GP4O on function calling. Wow. We'll see what comes out of the O1 class if it ever gets function calling. And Cloud 3.5 Summit is great as well. They kind of innovated in an interesting way, which was never quite publicized. But it's that they have that kind of chain of thought step whenever you use a Cloud model or Summit model with function calling. That chain of thought step doesn't exist when you just interact with it just for answering questions. But when you use function calling, you get that step, and it really helps getting better function calling.Swyx [00:42:43]: Yeah, we actually just recorded a podcast with the Berkeley team that runs that leaderboard this week. So they just released V3.Stan [00:42:49]: Yeah.Swyx [00:42:49]: It was V1 like two months ago, and then they V2, V3. Turbo is on top.Stan [00:42:53]: Turbo is on top. Turbo is over 4.0.Swyx [00:42:54]: And then the third place is XLAM from Salesforce, which is a large action model they've been trying to popularize.Stan [00:43:01]: Yep.Swyx [00:43:01]: O1 Mini is actually on here, I think. O1 Mini is number 11.Stan [00:43:05]: But arguably, O1 Mini has been in a line for that. Yeah.Alessio [00:43:09]: Do you use leaderboards? Do you have your own evals? I mean, this is kind of intuitive, right? Like using the older model is better. I think most people just upgrade. Yeah. What's the eval process like?Stan [00:43:19]: It's funny because I've been doing research for three years, and we have bigger stuff to cook. When you're deploying in a company, one thing where we really spike is that when we manage to activate the company, we have a crazy penetration. The highest penetration we have is 88% daily active users within the entire employee of the company. The kind of average penetration and activation we have in our current enterprise customers is something like more like 60% to 70% weekly active. So we basically have the entire company interacting with us. And when you're there, there is so many stuff that matters most than getting evals, getting the best model. Because there is so many places where you can create products or do stuff that will give you the 80% with the work you do. Whereas deciding if it's GPT-4 or GPT-4 Turbo or et cetera, you know, it'll just give you the 5% improvement. But the reality is that you want to focus on the places where you can really change the direction or change the interaction more drastically. But that's something that we'll have to do eventually because we still want to be serious people.Swyx [00:44:24]: It's funny because in some ways, the model labs are competing for you, right? You don't have to do any effort. You just switch model and then it'll grow. What are you really limited by? Is it additional sources?Stan [00:44:36]: It's not models, right?Swyx [00:44:37]: You're not really limited by quality of model.Stan [00:44:40]: Right now, we are limited by the infrastructure part, which is the ability to connect easily for users to all the data they need to do the job they want to do.Swyx [00:44:51]: Because you maintain all your own stuff.Stan [00:44:53]: You know, there are companies out thereSwyx [00:44:54]: that are starting to provide integrations as a service, right? I used to work in an integrations company. Yeah, I know.Stan [00:44:59]: It's just that there is some intricacies about how you chunk stuff and how you process information from one platform to the other. If you look at the end of the spectrum, you could think of, you could say, oh, I'm going to support AirByte and AirByte has- I used to work at AirByte.Swyx [00:45:12]: Oh, really?Stan [00:45:13]: That makes sense.Swyx [00:45:14]: They're the French founders as well.Stan [00:45:15]: I know Jean very well. I'm seeing him today. And the reality is that if you look at Notion, AirByte does the job of taking Notion and putting it in a structured way. But that's the way it is not really usable to actually make it available to models in a useful way. Because you get all the blocks, details, et cetera, which is useful for many use cases.Swyx [00:45:35]: It's also for data scientists and not for AI.Stan [00:45:38]: The reality of Notion is that sometimes you have a- so when you have a page, there's a lot of structure in it and you want to capture the structure and chunk the information in a way that respects that structure. In Notion, you have databases. Sometimes those databases are real tabular data. Sometimes those databases are full of text. You want to get the distinction and understand that this database should be considered like text information, whereas this other one is actually quantitative information. And to really get a very high quality interaction with that piece of information, I haven't found a solution that will work without us owning the connection end-to-end.Swyx [00:46:15]: That's why I don't invest in, there's Composio, there's All Hands from Graham Newbig. There's all these other companies that are like, we will do the integrations for you. You just, we have the open source community. We'll do off the shelf. But then you are so specific in your needs that you want to own it.Swyx [00:46:28]: Yeah, exactly.Stan [00:46:29]: You can talk to Michel about that.Swyx [00:46:30]: You know, he wants to put the AI in there, but you know. Yeah, I will. I will.Stan [00:46:35]: Cool. What are we missing?Alessio [00:46:36]: You know, what are like the things that are like sneakily hard that you're tackling that maybe people don't even realize they're like really hard?Stan [00:46:43]: The real parts as we kind of touch base throughout the conversation is really building the infra that works for those agents because it's a tenuous walk. It's an evergreen piece of work because you always have an extra integration that will be useful to a non-negligible set of your users. I'm super excited about is that there's so many interactions that shouldn't be conversational interactions and that could be very useful. Basically, know that we have the firehose of information of those companies and there's not going to be that many companies that capture the firehose of information. When you have the firehose of information, you can do a ton of stuff with models that are just not accelerating people, but giving them superhuman capability, even with the current model capability because you can just sift through much more information. An example is documentation repair. If I have the firehose of Slack messages and new Notion pages, if somebody says, I own that page, I want to be updated when there is a piece of information that should update that page, this is not possible. You get an email saying, oh, look at that Slack message. It says the opposite of what you have in that paragraph. Maybe you want to update or just ping that person. I think there is a lot to be explored on the product layer in terms of what it means to interact productively with those models. And that's a problem that's extremely hard and extremely exciting.Swyx [00:48:00]: One thing you keep mentioning about infra work, obviously, Dust is building that infra and serving that in a very consumer-friendly way. You always talk about infra being additional sources, additional connectors. That is very important. But I'm also interested in the vertical infra. There is an orchestrator underlying all these things where you're doing asynchronous work. For example, the simplest one is a cron job. You just schedule things. But also, for if this and that, you have to wait for something to be executed and proceed to the next task. I used to work on an orchestrator as well, Temporal.Stan [00:48:31]: We used Temporal. Oh, you used Temporal? Yeah. Oh, how was the experience?Swyx [00:48:34]: I need the NPS.Stan [00:48:36]: We're doing a self-discovery call now.Swyx [00:48:39]: But you can also complain to me because I don't work there anymore.Stan [00:48:42]: No, we love Temporal. There's some edges that are a bit rough, surprisingly rough. And you would say, why is it so complicated?Swyx [00:48:49]: It's always versioning.Stan [00:48:50]: Yeah, stuff like that. But we really love it. And we use it for exactly what you said, like managing the entire set of stuff that needs to happen so that in semi-real time, we get all the updates from Slack or Notion or GitHub into the system. And whenever we see that piece of information goes through, maybe trigger workflows to run agents because they need to provide alerts to users and stuff like that. And Temporal is great. Love it.Swyx [00:49:17]: You haven't evaluated others. You don't want to build your own. You're happy with...Stan [00:49:21]: Oh, no, we're not in the business of replacing Temporal. And Temporal is so... I mean, it is or any other competitive product. They're very general. If it's there, there's an interesting theory about buy versus build. I think in that case, when you're a high-growth company, your buy-build trade-off is very much on the side of buy. Because if you have the capability, you're just going to be saving time, you can focus on your core competency, etc. And it's funny because we're seeing, we're starting to see the post-high-growth company, post-SKF company, going back on that trade-off, interestingly. So that's the cloud news about removing Zendesk and Salesforce. Do you believe that, by the way?Alessio [00:49:56]: Yeah, I did a podcast with them.Stan [00:49:58]: Oh, yeah?Alessio [00:49:58]: It's true.Swyx [00:49:59]: No, no, I know.Stan [00:50:00]: Of course they say it's true,Swyx [00:50:00]: but also how well is it going to go?Stan [00:50:02]: So I'm not talking about deflecting the customer traffic. I'm talking about building AI on top of Salesforce and Zendesk, basically, if I understand correctly. And all of a sudden, your product surface becomes much smaller because you're interacting with an AI system that will take some actions. And so all of a sudden, you don't need the product layer anymore. And you realize that, oh, those things are just databases that I pay a hundred times the price, right? Because you're a post-SKF company and you have tech capabilities, you are incentivized to reduce your costs and you have the capability to do so. And then it makes sense to just scratch the SaaS away. So it's interesting that we might see kind of a bad time for SaaS in post-hyper-growth tech companies. So it's still a big market, but it's not that big because if you're not a tech company, you don't have the capabilities to reduce that cost. If you're a high-growth company, always going to be buying because you go faster with that. But that's an interesting new space, new category of companies that might remove some SaaS. Yeah, Alessio's firmSwyx [00:51:02]: has an interesting thesis on the future of SaaS in AI.Alessio [00:51:05]: Service as a software, we call it. It's basically like, well, the most extreme is like, why is there any software at all? You know, ideally, it's all a labor interface where you're asking somebody to do something for you, whether that's a person, an AI agent or whatnot.Stan [00:51:17]: Yeah, yeah, that's interesting. I have to ask.Swyx [00:51:19]: Are you paying for Temporal Cloud or are you self-hosting?Stan [00:51:22]: Oh, no, no, we're paying, we're paying. Oh, okay, interesting.Swyx [00:51:24]: We're paying way too much.Stan [00:51:26]: It's crazy expensive, but it makes us-Swyx [00:51:28]: That's why as a shareholder, I like to hear that. It makes us go faster,Stan [00:51:31]: so we're happy to pay.Swyx [00:51:33]: Other things in the infrastack, I just want a list for other founders to think about. Ops, API gateway, evals, you know, anything interesting there that you build or buy?Stan [00:51:41]: I mean, there's always an interesting question. We've been building a lot around the interface between models and because Dust, the original version, was an orchestration platform and we basically provide a unified interface to every model providers.Swyx [00:51:56]: That's what I call gateway.Stan [00:51:57]: That we add because Dust was that and so we continued building upon and we own it. But that's an interesting question was in you, you want to build that or buy it?Swyx [00:52:06]: Yeah, I always say light LLM is the current open source consensus.Stan [00:52:09]: Exactly, yeah. There's an interesting question there.Swyx [00:52:12]: Ops, Datadog, just tracking.Stan [00:52:14]: Oh yeah, so Datadog is an obvious... What are the mistakes that I regret? I started as pure JavaScript, not TypeScript, and I think you want to, if you're wondering, oh, I want to go fast, I'll do a little bit of JavaScript. No, don't, just start with TypeScript. I see, okay.Swyx [00:52:30]: So interesting, you are a research engineer that came out of OpenAI that bet on TypeScript.Stan [00:52:36]: Well, the reality is that if you're building a product, you're going to be doing a lot of JavaScript, right? And Next, we're using Next as an example. It's

I cannot wait for you to meet Derek Mitchell. His origin story will have you remembering your own childhood, and the teachers and parents in your life that changed your world. Derek is the CEO of Partners in School Innovation. Partners in School Innovation has been on a mission to transform teaching and learning in the most challenged U.S. public schools so that every student thrives. Their vision: A thriving system of public schools that have an unwavering focus on results and are vibrant places to teach, learn, and grow. To achieve our mission and vision, Partners works alongside schools and districts collaboratively, with an assets-based mindset, with a systems perspective, and in ways that allow us to constantly learn and improve. Derek is a true Change Agent leading an army of other Change Agents focused on changing the world...for the better. Enjoy the listen.

Oscar Iglesias, Gerente del Hospital Recoletas Zamora y José Luis Santos, Jefe de Cardiología nos cuentan en este podcast los objetivos del proyecto Pulso Vital. La iniciativa, puesta en marcha hace más de un año, pretende servir para detectar los riesgos cardiovasculares de la población y concienciar a la sociedad de la importancia de prevenir el ictus, a través de la detección precoz de la fibrilación auricular. El propósito del programa es llegar al 80% de la población de Zamora para convertir la provincia en área cardioprotegida. El plan se ha llevado a cabo instalando una serie de Totems en municipios de toda la provincia, para llevar a cabo una serie de pruebas a través de una aplicación activa que permite el reconocimiento de los usuarios.

In this episode, Pete and Dixon talk about the best totems in each faction of the game. They talk about totems that help the crew do their thing and the totems that are super powerful on the table. This one will be good for new players and experienced players to learn what some of the best totems in the game do and why you should remove them from the table as soon as possible! Check us out on our discord https://discord.gg/tZrjadfDb3 Check us out on youtube @ragequitwire Support us directly at patreon.com/ragequitwire Use our affiliation link giveusyourmoneypleasethankyou-wyrd.com/ragequitwire

Greetings Glocal Citizens! This week we're going full circle with Zimbabwean-American, Vimbo Watson. Born in Zimbabwe, Vimbo's family relocated to the US before she spoke her first words. Nonethless, her mother tongue has remained in her heart and has been a foundational part of fullfilling a life-long passion to uplift people and especially those ini need back home. After a career in education as a teacher and principal, she's now applying her administrative talents as the Director of Development for Kuda Vana Partnership (https://www.kudavana.org) an American-Zimbabwean non-profit operating a children's home and school in Zimbabwe. A passionate speaker and professional development provider she often translates her enthusiasm for learning and education into teaching others how to make time for wellness and self-care in their daily lives. Where to find Vimbo? On LinkedIn (https://www.linkedin.com/in/vimbo/) On Instragram (https://www.instagram.com/vimbowatson/) On Facebook (https://www.facebook.com/vimbowatson) On Youtube (https://www.youtube.com/@VimboVivien/featured) What's Vimbo reading? Platonic: How the Science of Attachment Can Help You Make--and Keep--Friends (https://a.co/d/3M4FuOe) by Marisa G. Franco PhD Atomic Habits (lin https://jamesclear.com/atomic-habits) by James Clear Drowning (https://a.co/d/a9sRbeu) and other books by T.J. Newman (https://tjnewmanauthor.com) Books by Brené Brown](https://brenebrown.com) The Art of Gathering (https://www.priyaparker.com/book-art-of-gathering) by Priya Parker The Lazy Genius Way (https://www.thelazygeniuscollective.com) by Kendra Adachi Other topics of interest: Mutare, Zimbabwe (https://en.wikipedia.org/wiki/Mutare) Clans and Totems in Zimbabwean Culture (https://beingafrican.com/clans-totems-in-shona-culture/#:~:text=Referred to as Mutupo in,believed to be your totem.) On Trauma-focused Therapy (https://www.verywellmind.com/trauma-therapy-definition-types-techniques-and-efficacy-5191413) Special Guest: Vimbo Watson.

In today's show, we start the first part of the miniseries of the Totem and Power Animal series I wanted first to give the main idea before we go into the guy's point of view in their worlds. As always, I will provide links so you can do and start your reading and research thank you for your support. totem Animals and their Meanings - NativeAmericanVault.com⁠ ⁠https://www.britannica.com/art/totem- https://en.wikipedia.org/wiki/Totemen.wikipedia.orghttps://www.legendsofamerica.com/na-totems/www.legendsofamerica.comhttps://www.msn.com/en-us/lifestyle/lifestyle-buzz/symbolism-of-toads-spiritual-meaning-of-totem-animal/ar-AA1jukS7https://www.gaia.com/article/find-your-spirit-animal-meaningshttps://www.msn.com/en-us/lifestyle/lifestyle-buzz/symbolism-of-toads-spiritual-meaning-of-totem-animal/ar-AA1jukS7 https://cash.app/$W1123D Bob Newhart, legendary comedian, dead at 94 | CNN --- Support this podcast: https://podcasters.spotify.com/pod/show/wicthdragon/support

Sex Work can feel isolating because of society's shortcomings and even simply within the logistics of the job. A question on how to manage feelings of isolation when on tour or travelling for work as a sex worker leads Eva Oh to reveal an insight into her touring history, and the habits, community and secrets that have kept her grounded - including a travelling totem and room service spaghetti bolognaise…More on Eva Oh: https://eva-oh.com(00:00) - Welcome. What is #teakink(00:18) - A Question on Touring as a Sex Worker(01:10) - My Touring History(02:35) - But I Love Solitude(03:25) - The Benefits of Sex Worker Communitiy(03:55) - Familiarity on the Road(07:15) - Dating App Entertainment(07:50) - Keeping Motivations Front of Mind(09:20) - Totems and Spaghetti Bolognaise(11:10) - Touring in Doubles(12:30) - Much Love!

We chat with netminder, Cam Widgington, most recently with the USPHL's Seattle Totems! Recorded Sunday, June 30, 2024, A.M. Pacific Time.Follow us on social media! --Instagram: https://www.instagram.com/phhpodcast/--Threads: https://www.threads.net/@phhpodcast --YouTube: https://www.youtube.com/@PHHPodcast --X: https://x.com/PHH_Podcast--TikTok: https://www.tiktok.com/@phhpodcastSound effects obtained from https://www.zapsplat.comSPONSORED / PAID ADVERTISEMENT: Manscaped

We chat with netminder, Cam Widgington, most recently with the USPHL's Seattle Totems! Recorded Sunday, June 30, 2024, A.M. Pacific Time. Follow us on social media!  --Instagram: https://www.instagram.com/phhpodcast/ --Threads: https://www.threads.net/@phhpodcast  --YouTube: https://www.youtube.com/@PHHPodcast  --X: https://x.com/PHH_Podcast --TikTok: https://www.tiktok.com/@phhpodcast Sound effects obtained from https://www.zapsplat.com SPONSORED / PAID ADVERTISEMENT: Manscaped Learn more about your ad choices. Visit megaphone.fm/adchoices

▶️ Check This Out On You Tube: https://youtu.be/pNJLJu2EnOUAlec Zaballero is an esteemed architect and partner at TPG Architecture, with a profound interest in watches. Alec's passion extends to his role in the Harvard Club Watch Collectors and Enthusiasts, where he leads a vibrant community of like-minded individuals. With his comprehensive knowledge of menswear and horology, Alec is uniquely positioned to discuss the intersection of fashion and watch culture, making him the ideal guest to explore the relevancy of wearing a watch in the 21st century. In this episode, you'll learn, - The significance of watches beyond telling time and their role as personal totems and cultural symbols. - Insights into the burgeoning world of micro watch brands and how they are shaping the current landscape of horology. - How to use fashion and accessories to convey the right signals about oneself and combat common age-related assumptions. So do you own a watch? Do you integrate watches into your own fashion? What type of watches do you like? Leave a comment below.

Director Christopher Nolan once said:“You have to do something that really excites you. It's the things that you can bring to what you're doing that maybe not everyone else is doing. That's what's going to distinguish the thing.”That's the energy we're taking into this episode of Remarkable. Guided by our guest this week, Jellyfish CMO Kyle Lacy, we're taking marketing lessons from the Oscar-winning director, Christopher Nolan. Together, we talk about mastering each channel, building the day-to-day life of your buyer into your content, and much more.About our guest, Kyle LacyKyle Lacy is CMO at engineering management platform Jellyfish, the pioneer Engineering Management Platform that enables engineering leaders to align engineering work with strategic business objectives. There, he helps engineering leaders translate and maximize the business impact of their teams. Kyle has 17 years of experience in high-growth software. Prior to joining Jellyfish in November 2022, Kyle served as CMO of Lessonly. He has also led marketing at Seismic, OpenView, Salesforce and ExactTarget. He is a published author of three books: Twitter Marketing for Dummies, Branding Yourself, and Social CRM for Dummies. He is a marketing and digital trends speaker, having spoken at marketing and technology industry events around the world on content marketing, collaborative consumption, email marketing, technology trends, and more. He has been recognized as one of Indiana's Forty-under-40 by the Indianapolis Business Journal, Anderson University's Young Alumni of the Year and TechPoint's Young Professional of the Year. But most importantly, he says, he's the father of two boys, an energetic dog, and one too many books on World War II.What B2B Companies Can Learn From Christopher Nolan:Master each channel. Reach a deep understanding of what your audience wants and needs from each channel and create content for it. Kyle says once you've mastered the channels, “you can start creating brand content that is more creative and entertainment oriented and more about the human that's buying the product, not necessarily the product itself.” It's like how Christopher Nolan has mastered fiction with Memento and Inception and non-fiction with Dunkirk and Oppenheimer. He understands what viewers of each genre are looking for and creates content specifically for them.Build the day-to-day life of the buyer into your marketing. Include different storylines and details in your content so that it shows an understanding of your audience and their lived experience. The more your content clicks with them, the more they'll remember your brand when they're ready to buy. Kyle says, “We sell to an engineering leader. There are 500 other things that that engineering leader is dealing with on a day to day basis that might not necessarily pertain to our product, but does lead to exuberance, stress, productivity…the Amazon package being late for his daughter's birthday present. So how do we build more of the day in the life of the buyer into our content? It's the human element that's the most interesting part of marketing.”Quotes*”When you've mastered your craft and you understand the minute technical details that make it enjoyable, whether that's marketing or producing a movie, you can make decisions and take risks because you understand what the impact will be because you've spent so much time obsessing over it. ” - Kyle Lacy*”Christopher Nolan got very lucky that he has a brother that's a very good screenwriter. But he also understands how to surround himself with people that are very good at what they do. And I think part of being a manager - and it doesn't even have to be marketing - is that you have to find the people that truly love their craft and are good at what they do so that the end product, no matter what it is, is the best that you could possibly do.” - Kyle Lacy*”Anybody can tune into a podcast about leadership values. And what does it take to be a great manager? Like there's 500 of them because it's easier to do. It's harder to do what we're doing right now. Y'all prepped for a Christopher Nolan-slash-CMO interview. But it's interesting, right? And that's why people like to be on it. That's why people listen to it. And that's, I think, this idea of illogical marketing, right? Like the more illogical you can be, the more creative it is and the more people enjoy it. It's just hard to grasp for a lot of marketers.” - Kyle Lacy*”I think the nuance Is how you balance the extremely illogical podcast, weird direct mails, lego building sets, all the stuff that I think surprises and delights people with the other things that might not be as fun and creative but drive business value. And that's where I would love to tell you that there's a framework you should follow. But it's, what is enjoyable to the customer? How do you understand that they like it, whether that's an increase in listeners or shares, or you got more people wanting to be interviewed? And then it's that you're hitting the numbers that you put in front of the board, and that's ultimately the value.” - Kyle Lacy*”You kill creativity when you try to apply too much ROI to a project. Doesn't mean you shouldn't track it, doesn't mean there shouldn't be ROI. But you sit down with a creative team and say, ‘Hey, let's think about how many downloads we can get or how much pipeline this thing is going to drive. And they just glaze over. Good creatives glaze over because you're not starting with the most important thing, which is the experience that thing is driving. You can work back, you can figure out the business impact of the thing. And it really depends on the piece of content, right? Like a playbook is going to be different than a podcast.  But I'd like to start with the experience and then back into the business impact because I think it just has more value and people are more creative when you start with the experience.” - Kyle LacyTime Stamps[0:55] Meet Kyle Lacy, CMO at Jellyfish[2:51] Exploring Christopher Nolan's Storytelling Techniques[4:45] The Art of Making Complex Narratives Work[7:31] Christopher Nolan's Unique Approach to Filmmaking[10:14] Applying Nolan's Strategies to B2B Marketing[17:47] Drawing Parallels Between Nolan's Work and Marketing[18:52] Mastering Different Storytelling Formats[21:32] The Human Element in Marketing and Filmmaking[23:51] Exploring the Camera as a Character in Marketing[24:59] The Human Element: The Core of Marketing and Storytelling[26:26] Christopher Nolan's Mastery of Objects in Storytelling[28:04] Marketing Lessons from Nolan's Use of Totems[29:32] The Power of Mascots and Brand Identity[31:33] Creative Choices in Filmmaking: The Case of Bane's Voice[39:17] The Challenge of Balancing Creativity and Business Goals[43:58] Advice for other CMOsLinksConnect with Kyle on LinkedInLearn more about JellyfishAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both non-fiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Senior Producer). Remarkable was produced this week by Jess Avellino, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise.

Dare to Dream with Debbi Dachinger Guest, John P. Milton, pioneering ecologist, spiritual teacher, meditation master, vision quest leader and shaman. Deep insights into the spiritual powers of nature. JOHN P. MILTON Totems, Transmissions, Sacred Passage, and Shamanic Nature Work

Become a supporter of this podcast: https://www.spreaker.com/podcast/dare-to-dream-with-debbi-dachinger--1980925/support.Highlights:1) Explore a unique spiritual journey via nature, fostering a deep connection with all living beings and the Earth.2) Discover John P. Milton's transformative experiences, including his first Vision Quest at just 7 years old.3) Hear about the remarkable shamanic practices, such as controlling weather, that have shaped his understanding of nature and spirituality.4) Gain insights into developing a profound ecological consciousness and strengthening your bond with the Earth.5) Learn about the profound encounters and experiences people experience during Nature Quests and Sacred Passage programs.WELCOME to the award-winning DARE TO DREAM Podcast! Your #1 transformation conversation. • Subscribe, Like and Comment; we read them all!

Inception ist wahrscheinlich einer der kompliziertesten Filme, die das Mainstream-Kino jemals hervorgebracht hat. Wir versuchen das Geflecht aus Traum- und Handlungsebenen zu entwirren und erklären euch, worum es wirklich geht in Christopher Nolans Meisterwerk. Waren die Totems und sogar das legendäre Filmende letztlich scheißegal? Was ist die im Film behandelte ontologische Unsicherheit und wie kann im echten Leben eine Inception einpflanzen? – – – – – – – – – – – LINKS Bilder aus dem Gehirn-Scanner der Uni Kyoto: https://youtu.be/jsp1KaM-avU Eine Inception Infografik, die uns geholfen hat den Überblick zu behalten: http://www.infographicsblog.com/wp-content/uploads/2011/04/inception-infographic-11.jpg – – – – – – – – – – – WERBUNG Die Links zu unseren Werbepartnern findet ihr hier: https://bit.ly/kussponsored – – – – – – – – – – – PODCAST KAPITEL (00:04:47) Kommt ein Alien … (00:23:20) Handlungsanalyse (01:13:58) Ontologische Unsicherheit (01:18:03) ein bisschen Wissenschaft zu Inception (01:23:47) Ironische Prozesse, die reale Inception? (01:27:58) reale Traum-Scanner (01:36:43) Interpretationen (02:12:14) Bilder die sich selbst enthalten (02:16:35) das Ende des Films (02:39:56) unsere Live-Tour (02:40:48) Hörerfeedback &. Co – – – – – – – – – – – Unsere IMDb Playlist: https://imdb.to/46UdNhm – – – – – – – – – – – Kack & Sachgeschichten - Der Podcast mit Klugschiss http://www.kackundsach.de/ Alle Links und Infos auch hier: https://linktr.ee/kackundsach

Inception ist wahrscheinlich einer der kompliziertesten Filme, die das Mainstream-Kino jemals hervorgebracht hat. Wir versuchen das Geflecht aus Traum- und Handlungsebenen zu entwirren und erklären euch, worum es wirklich geht in Christopher Nolans Meisterwerk. Waren die Totems und sogar das legendäre Filmende letztlich scheißegal? Was ist die im Film behandelte ontologische Unsicherheit und wie kann im echten Leben eine Inception einpflanzen? – – – – – – – – – – – LINKS Bilder aus dem Gehirn-Scanner der Uni Kyoto: https://youtu.be/jsp1KaM-avU Eine Inception Infografik, die uns geholfen hat den Überblick zu behalten: http://www.infographicsblog.com/wp-content/uploads/2011/04/inception-infographic-11.jpg – – – – – – – – – – – WERBUNG Die Links zu unseren Werbepartnern findet ihr hier: https://bit.ly/kussponsored – – – – – – – – – – – PODCAST KAPITEL (00:04:47) Kommt ein Alien … (00:23:20) Handlungsanalyse (01:13:58) Ontologische Unsicherheit (01:18:03) ein bisschen Wissenschaft zu Inception (01:23:47) Ironische Prozesse, die reale Inception? (01:27:58) reale Traum-Scanner (01:36:43) Interpretationen (02:12:14) Bilder die sich selbst enthalten (02:16:35) das Ende des Films (02:39:56) unsere Live-Tour (02:40:48) Hörerfeedback &. Co – – – – – – – – – – – Unsere IMDb Playlist: https://imdb.to/46UdNhm – – – – – – – – – – – Kack & Sachgeschichten - Der Podcast mit Klugschiss http://www.kackundsach.de/ Alle Links und Infos auch hier: https://linktr.ee/kackundsach

It takes more than just the right tools to carve a totem. Unless they are made by members of one of the traditional totem-carving coastal Pacific tribes, they may appropriating the often sacred symbols and methods those tribes reserve. Totems on public display by cities, schools, museums, and sports teams are coming under new scrutiny. GUESTS Sgwaayaans T.J.  Young (Haida), carver Carey Newman (Kwakwaka'wakw and Stó:lō), master carver, artist, and Impact Chair for Indigenous Art Practices at the University of Victoria Greg Colfax KlaWayHee (Makah), carver and artist Chairman Mike Evans (Snohomish Tribe of Indians) Jewell James (Lummi Nation), master carver

The UPX Podcast is the ORIGINAL and #1 spot for news, strategy, non-financial advice, and more in Upland. Join 2Stupid2Win & ThankMeLater as they discuss the current events, strategies, and community of the metaverse known as Upland.Sign up for Upland using this referral code discover.upland.me/UPX-Podcast. Earn of 50% bonus on your first deposit up to $100.Follow us on Twitter www.twitter.com/upxpodcastSHOW DISCLAIMER: The views, information, and opinions expressed on The Upland Property Xperts (UPX) Podcast are solely those of 2Stupid2Win, TML, and any guests of the podcast and do not necessarily represent/reflect those of UplandMe Inc. We are not employed by, or provided insider information from the UplandMe Inc. Nor are we financial/investment advisors. All discussion about properties, types of properties, or any other NFTs in Upland to buy or sell is not financial advice. Please do your own research first. We do not guarantee any particular outcome from participating in Upland. There is potential for loss from participating in the purchase, sale, or investing in Upland and their metaverse.

The 16:9 PODCAST IS SPONSORED BY SCREENFEED – DIGITAL SIGNAGE CONTENT The UK startup PassageWay operates with the interesting mission of using technology that nudges people to make well-informed and more sustainable decisions about how they get from A to B. That's done by thinking through and developing the presentation layer for Real-Time Passenger Information content that's then run on digital signs, most notably for the bus systems around the city of London. PassageWay's business model is - in simple terms - taking the rich, real-time data available for routes and stops and making it presentable and digestible for transport authorities, like Transport For London, which pays the start-up to do so. The logical notion is that the more that good, real-time information is made available to people, the more the transport services will be used. While London Underground stations are well-equipped with information and the services are pretty predictable, there's not as much available to the millions who use less-predictable surface transport services like the iconic double-decker red buses. I had a good chat about all this recently with PassageWay co-founder Chris Johns. Subscribe from wherever you pick up new podcasts. TRANSCRIPT Chris, thank you for joining me. Can you tell me what PassageWay is all about?  Chris Johns: Thanks so much for inviting us to your podcast today. PassageWay is all about generating demand for public transport by leveraging real-time information. We do this by putting it onto digital signs that are displayed on host-supplied screens and typically these screens only require a modern browser to display the digital sign.  You made a point of saying the host supplied. There's been a history through the years of companies who've done things like put in the infrastructure, the screens, and so on and then run content on them with the idea that content would be Interrupted so to speak by advertising. You're not going down that path.  Chris Johns: No, we're not. Typically those sorts of plays are similar to JC Decaux or Clear Channel who have long had this relationship with transport authorities whereby they will fund the deployment of bus shelters in return for an ad revenue share. We supply transport for London with digital signs that are displayed at bus shelters but also within their other infrastructure like bus stations. But really we're more citywide about putting digital signs into places such as schools, hospitals, workplaces, offices, and such in order to generate demand from the sort of non-traditional locations and encouraging the people within those locations to consider public transport. So this doesn't sound like a traditional business, you said, this is about generating demand to use public transport services and so on versus, more traditionally, this is about making money somehow or other.  Chris Johns: Yeah. I think that's the difference, a lot of those traditional plays actually put the real-time information secondary to their primary objective which is to earn revenue from the display of ads. And to my mind, that means a poor customer experience and the poor customer experience means reduced demand. If you think about traditional bus shelters, they are actually incredibly complex for many people trying to navigate the public transport information. If you're coming to London, for example, trying to find out which is the right bus? Is it going to go to your preferred stop? How long is it going to take? Is there any disruption information? If you don't have it, it will make you want to go and choose a different mode of transport. So, you probably take a taxi or you may end up using your own car, for example. Actually what we're trying to do is to show people that public transport is really easy to use. It's really accessible. It can get you from A to B pretty fast. And if you're aware of the onward travel information from the stop you're trying to get to, then actually, you can make the whole journey much easier and less stressful, for many people. So this almost seems like a community initiative but there is a business model behind this, right?  Chris Johns: Yeah, there is. The business model is pretty straightforward, to be honest. We are paid by the transport authority or their contract partners and our job is to provide these digital signs and the digital signs generate demand. So in a different way of thinking, you might consider the real time information as being the best form of advertising for public transport. Certainly better than a static advert, in my opinion, anyway.  Your company's efforts are to aggregate the data, make sure it's handled accurately and always up to date, and so on. Why would transport for London not do that themselves?  Chris Johns: Yeah, they do. Transport for London is the world's largest integrated transport network and they have the global leading data strategy. And they're famed the world over for their open API strategy. That means we can access their data and we pretty much have unfettered use of that data. And so do many other developers as well and we can Be sure that the data we've got is true and accurate. What we do is that we take that information and we plot it around a particular location and we bring it together with a legible London-style wayfinding map, where we plot the access points onto it and then we bring it all together into a sort of nice looking digital sign that's easy to understand and act upon.  So we're not generating data or we're not modifying data, all we're doing is bringing data together into an easy-to-understand format.  So you're doing the presentation layer that in theory, transport for London could do themselves but you're good at it. it's not what they want to focus on. So they're happy to work with you to do that part of it.  Chris Johns: That's right. Yeah. We are a supplier to TFL and they use lots of other different tech suppliers whether it's to build their award winning TFL go app or to build bus shelters whatever it may be. They have lots of different suppliers bringing their individual skill sets into play and that's basically what we do. But I think that one of the things that we do bring to the party because we're a tech startup is innovation and the ability to pivot quickly and come up with sort of entrepreneurial new ideas that we can bring into play and throw them out to TFL and say, listen, what do you think about this? And so we can move quite quickly.  Did you have to go to them to sell into this or is your company kind of a result of being in discussions with them and starting the company because this opportunity existed? Chris Johns: It's a mix between the two actually. So TFL actually issued a tender some time ago that we want to produce the platform and we've taken it on from there and given it a life of its own and extended the service beyond London as well. So working with other transport authorities and other partners outside of London.  So this is audio, so it makes it a little difficult to visualize things. But can you give me some sense of how this manifests itself within the transport system? And then in public and private buildings.  Chris Johns: Okay. I'll give you a couple of examples. For example, in every bus station across London, there are digital totems. And those digital totems are a bit like an airport or a train station where you've got a central totem and it shows all the services where they're going and whereabouts within the bus station they're leaving from and if there's any disruptions. So we look after all of those for London. Another example would be smart bus shelters, whereby you could have a large format digital screen with detailed route maps for each of the services that are running via that bus shelter with real time information on all those routes plotted not on a fixed JPEG of a route but actually plotted live onto a legible London style map. With onward time estimation to reach all the onward stops, onward travel information such as the tube status, any disruption notifications and more so that people can quite easily contextualize their journey and see if it's going to be running smoothly all the way through. Another example, could be at a bus stop itself. So across London, there are about 18,000 bus stops and only about 2000 bus shelters. So only about 2000 of these locations have any real time information. So what we can do for those ones is put in QR codes and customers can scan the QR codes and open up a real time digital sign on their personal device with no registration, no login, no heavy download. It's just a purely web based solution that shows all the upcoming departures for that particular stop with detailed route information, onward stop information et cetera and then links to download the official apps. So it's like an interstitial page where it's easy for everyone to access. Hopefully you're going to convert more people into downloading the official apps. Now the official app is the TFL official app or yours?  Chris Johns: No, we don't do apps. I'm afraid. One of the points about what we're doing is about trying to make everything as open and as accessible as possible. So there is no registration, there's no login, there's no download. All you need Is a modern web browser and you can access the information. We don't ask anything from the customers. We don't track them. We don't do anything really about that.  Yeah. That's one of the problems when you go to an unfamiliar city and you decide I'm going to use their transport system. You go to the app store to find the app for the mass transport system in that city. And there's five or six of them and you don't know which one is official or which one's riddled with ads or not updated or God knows what. Chris Johns: Yeah. In London, I can't really speak for other cities because our primary focus is London, that's our area of expertise. But there are hundreds of thousands of people who are digitally excluded. People who don't have smartphones at all and then there is a whole another segment that are extremely low digital users and I think in London, there's about 2 million of those, according to a Lloyd's report. You've got about 2.5 million people that are not going to be using smartphones or not downloading apps and you've got to provide real time information to those people because those are also a core audience for the transport authority because they tend to be looking at the demographic. They match perfectly the sort of TFL bus user type. But at the moment they're somewhat excluded from the service or the latest developments of promoting those services.  Is the focus more as a result on road transport, buses and so on, as opposed to the London underground? Because the underground has maps. It's got covered areas and everything else. It's easier to convey information.  Chris Johns: That's right. Like train stations and tubes, they're fairly straightforward. You go onto the platform, you take a train going one way or the other way or if you go to a train station, it's all linear. But if you're taking buses or you want to go get a bicycle, they're within the built environment itself. And they could be going pretty much any direction. And you really need to know where the best location is for you to find your particular service and then how long you're going to wait and if there's any problems with that particular service. Also the other thing is that the tube services are linear again. They're always getting the district line, for example and are always going to go to those particular routes, one way or the other. They might stop slightly earlier but generally, they're always going to follow that same path. And if you wait one minute, then the next one's coming along for two or three minutes. So what we do is that we just show on the tube status. We show if there's any problems on any particular line. And then we say all of the lines are running fine, which is the sort of TFL standard approach to displaying the statements  Yeah. This year I've spent a couple of weeks in London, doing interviews and then I was there semi holidaying as well and I was struck by the amount of real time information that you could get on. I was taking the Elizabeth line more than anything else and it was terrific in terms of telling me, I definitely don't want to go on the Circle line right now. Chris Johns: Yes. the Northern line.  The really old ones. Chris Johns: Yeah, some of them are better than others, to be honest. Also you've got to pick the right one. It's freezing in London at the moment and some of them have heating and some of them don't. Like in the summer, some of them have air con and some of them don't as well. We don't flag that as much. I couldn't tell you offhand which ones are which. Toko on here is stifling.  Chris Johns: Yeah. It could be useful information to many people.   What you're doing is a little reminiscent of a US company called TransitScreen.  Chris Johns: Yeah, I know. I've heard of TransitScreen. Yeah. They would sell a service into a building and they would also layer in things like the availability of Rideshare, Dockless bikes. I'm not sure what their status is right now but probably scooters as well. Do you do any of that? Chris Johns: Not at the moment. It is something that we are quite interested in. But we are dependent on the data sources that are available to us. And obviously we are primarily funded by TFL as well. Our modus operandi is to really promote TFL services. When we've looked at it before there are Lime and Forest e-bikes for example, across London. But they don't actually have an open API that we can access. The other thing I think separates us from the transit screen service, I think they've rebranded actually now. But I think they don't tend to have maps or contextual maps on their screens. They tend to be very linear in terms of saying information is available on this particular site type of service at this particular place. And that it's 500 meters where you have to go and work out which direction it is, whereas in London, we've got what's called the legible London wayfinding scheme. So across London, you find all these Totems which are just flat totems, they're not real time information. But they've got localized maps with all the local highlights on it. So, there's a sort of native way of expecting maps and how they should appear to people as they're moving through the built environment that we've tried to replicate. Ultimately, what we'd like to do is to take over those totems and convert them from being static information locations to being real time digital totems with wayfinding public transport information and other information as well.  I suspect the barriers, there are steady advances in e-paper. As that gets better versus using LCD or things like that require a lot of energy to be visible in daylight.  Chris Johns: Yeah. I think you hit the nail on the head there or bleakly by saying, really the issue is cost and technology. There are hundreds of legible London totems around London. Not all of them have power nearby and the cost to convert each and every one of them would be very substantial but if we can bring in as technology advances and things become cheaper, solar power and other sort of lower energy burn options come into play then that's where we're hoping that there's an opportunity. So, I think I saw you guys have your offices or technical location and the Battersea area. If the Battersea power station which is now a kind of a multi use mall and other things, wanted to put your content on a large screen in their main access areas, would they need to do what's involved? Chris Johns: It's really quite straightforward. They just need to install a screen of any particular size, it can be small or super large. We put a 75 inch screen into an office complex, Paternoster Square, just a week or so ago. But you can go for pretty much any size screen. The larger ones tend to be ethernet connected rather than Wi Fi connected. As long as that screen has browser capability then we can deploy a digital sign onto it. And it will be suitable for displaying both small scale and large scale. So you could have it within a stadium. If you've been to the power station, they've got the huge sort of warehouse-y style engine rooms there which are now full of shops but you could put one at the end of one of those engine rooms and it would look fantastic.  Yeah. I was there three-four months ago. It's a great reworking of that building. Outside they could really use wayfinding but that's somebody else's problem.  Chris Johns: Yeah. Also there's boats there as well. So Uber has taken over the boats in London. So, unfortunately they no longer provide data onto the TFL data feed. And so we're trying to work with them to get data from them. But at the moment, they're not included within the TFL API feed. I'm understanding this correctly, there's a URL per geo-specific site.  Chris Johns: That's right.  And if it was a digital sign in a building that was also showing, if we're using the Battersea Power Station as an example, also showing sales promotions for some of the retail tenants, could your information be scheduled in or does it need to be on there full time? Chris Johns: No, it doesn't need to be full-time. Obviously, we're very aware that digital screens need to pay for themselves and often that's through advertising. Our content can be part of a playlist and run for 15-20 seconds every 40 seconds or whatever the host decides is best. So, we're working on another project at the moment which is actually something very similar to that, whereby the content will rotate with other content about walking routes, heritage and other information that takes to a particular place. Because obviously, public transport information is not the only thing that's of interest to people as they're moving through the built environment. But it's one of the time sensitive things that is important to them.  Because it's web based information, is it responsive? Chris Johns: Yeah, We do smartphone friendly signs as well but usually they're going to be QR code based. So, someone will scan a QR code and then it will open up a smartphone or other personal device friendly version. Some of the other signs that we've designed particularly for larger format digital signage screens. So what I've seen examples of was a portrait mode screen but you could do a landscape screen, no problem.  Chris Johns: Oh yeah. We've got loads of them. It's roughly 50-50 at the moment in terms of deployment between landscape and portrait. I don't really have a preference. I think they look good. I think the one we put in last week into Paternoster Square was a portrait and I think it looks really quite nice in portrait style.  And have you done the design and everything to mirror or parrot the transport for London colors and so on? Chris Johns: We've built it to meet the TFL brand guidelines. So that was very important. Obviously, because we're paid by TFL and the map is styled to look as close as possible to the legible London guidelines but without copying it. We use a service called Mapbox to do that which allows us to play with the layers and the design of the layers on the maps very efficiently. And we actually did a project for Melbourne as well, Transport for Victoria in Australia where we came up with a similar whole range of concepts for Melbourne and again using their sort of legible Melbourne guidelines or Transport for Victoria guidelines with their branding and their mapping as well. So is there a consulting wing to what you do as well?  Chris Johns: Basically we can provide just consulting but really what we're hoping to do is to build long term relationships with transport authorities where we can deploy the platform, make the signs available across their estate and out to their community. And if that option is available to us then we'll do the consulting bundled into a longer term agreement with them.  But it's not fundamental to your offer?  Chris Johns: No. No, not at all.  My next question is, are you working outside of London? So you're in Australia. Are you elsewhere as well? Chris Johns: So, we're one of the winners of a global innovation tender for Transport for Victoria and we developed a whole range of concepts for them. Unfortunately, their data wasn't quite a state as yet to enable the concepts to be deployed. So that one very much watches this space. We've also had discussions with others, both, in Europe and also in North America as well. We're quite keen on working internationally. I think on the international side, we're much better when we work with a bigger technology partner. So, usually with transport authority tenders, they put them out there and there's big organizations which pitch for them. We're typically too small to pitch for them but we can go in with those larger organizations and bring that element of innovation and entrepreneurialism and some design to give them an extra edge in their tender over and above everyone else. So you might be going with an IBM or somebody like that?  Chris Johns: Yeah. The big one in America is VIX Technology and they're a nice bunch of guys. But we've also partnered previously with Trapeze which is in the UK. And also, there's a one in the UK who we work with very well called True Form Engineering as well. We've done stuff with them both in London and outside of London as well.  You mentioned at the start that you're working with the London authority which has a world reputation for its data API and everything else. And you also mentioned that Melbourne isn't quite at the same level. Is that a big challenge when you look at other jurisdictions? Chris Johns: Yeah, totally. Basically, the world is changing and it's changing very rapidly. The data is becoming less of a problem. But one of the problems that remains is the cost of data which means that actually using our service may be prohibitive to smaller towns or organizations outside of London. With the CFL API, we have free Access to that but if it was outside of London, for example, in Bristol, then we would have to partner with a third party data provider. And there are a small number of those that can provide that service. But it's not free and their costs are extensive. And then we have to layer our costs on top of that and it may be that for that transport authority which they look at that and say, we can't do that sort of cost at the moment. Indeed somewhere Bristol actually used to have their own API and then took it offline. Because they said, we can't justify the cost of maintaining this open API strategy which to my mind is insane because surely the biggest way of generating demand for public transport authority is telling people what services there are there. And you can only do that if you've got real time information. So if you suddenly say to all the developers and even your own services, we're not going to have an API anymore. It just means that you're going to have a natural impact on demand.  I don't know if this is a simple answer or way too involved to even get into but I'm curious if I'm a transport authority, let's say in Kansas city, Missouri, Winnipeg, Manitoba, or Munich, Germany. Do you need the shape and structure of data to make this workable?  Chris Johns: It's what we call a JSON API and then documentation around it and we'll take it from there. So, most of the APIs follow a common standard these days and we can work with any of them, really. We've not done any multi-language so digital sign designs as yet. So we do need to consider the elements of user experience for trying to work in something like Japanese, for example, would be challenging for us at the moment because we'd have to consider how they interpret information which is different to how we might interpret information in the UK. But somewhere like Missouri and Munich would be fairly straightforward for us.  Okay. So if people want to know more about your organization, where do they find you?  Chris Johns: So the best thing to do is to look at our website, which is at passage-way.com, or connect with me on LinkedIn. I'm quite chatty on LinkedIn, and I post a fair amount, and also the company is on LinkedIn as well. That's how I found you.  Chris Johns: Yeah, and the more the merrier, really.  All right. Chris, thank you very much for spending some time with me.  Chris Johns: Thank you. Have a great day.  

We will share a wondering about the real meaning, and provenance of symbols and words, unraveling how their definitions transform through the lens of culture and time. In this exploration, we will discover how symbols that once held sacred or benign connotations can dramatically shift, taking on entirely new, sometimes even opposing meanings.

Heute verlieren wir in einem ganzen Level so viele Leben, das wir keine Totems mehr hatten und ein neues Level gestartet haben in dem ich dann komplett ge raget bin. Viel Spaß! Whatsapp Kanal: https://whatsapp.com/channel/0029VaAcVp9EquiG3MhENk2B --- Send in a voice message: https://podcasters.spotify.com/pod/show/jojumik/message

Hello, Light Wizards! This transmission is about an exercise I received while on the elliptical this morning which you can use in your personal intuiting for the energy of 2024. Animal Totems. Enter the Day-Dream/Trance State and set your intention to receive an Animal Totem for your year in 2024. Record your impressions first then go check out another person's meaning of that Totem. You can work with this exercise throughout the year of 2024. *Strengths *Weaknesses *Guidance / Strategies *Potentials that may manifest www.jakejamesvanek.com

The Waverider is flying Zambesi, New Zealand and Salvation, North Dakota trying to stop Mallus or Mailas from taking over the world.   “Guest Staring John Noble” – The Legends must stop Grodd from killing Obama in his college years, but that is just one of the crazy things going on this ep. Nate & Wally join Amaya in Zambesi. They convince her older self to pass on the totem and her daughter Esi to take it up. Damien joins the Legends to stop Mallus from forming and killing Nora in the process. They have to get John Noble to read Mallus' lines in the process. But things go south. Damien double crosses them, releases Grodd on the village and let's Nora escape.    “The Good, The Bad, and The Cuddly” – Rip sacrifices himself to buy the Legends some time against a fully formed Mallus. They head to Salvation, North Dakota where Jonah Hex is sheriff. Zari sends for help and Ava, Jax, Helen the Amazonian, and Kuasa Vixen come to help. The Legends must use the Totems to form a defender, but the first attempt fails. Ray and Damien go back in time and save Nora by sacrificing Damien to be Mallus' host. The Legends and friends must fight an army of Romans, Vikings, and Pirates. While they are being held at bay, the Legends form Bebo who defeats Mallus with wrestling moves and the day is saved. People love this ep, people hate this ep, and people are in the middle. We as podcasters were right there with them. Overall, we really loved season 3 and had forgotten how good it was, because we were hung up on the finale. But we appreciate the season more now. We loved going through it with all of you.   Contact Information If you want to join in the discussion, you can submit feedback via email to TomorrowsLegendsPodcast@gmail.com. Please submit all feedback by 7:00 pm eastern on Thursday. You can also join the Facebook group at facebook.com/groups/tomorrowslegends. Answer all the questions and agree to the group rules to be accepted. You can follow us on Twitter @tomorowslegends.  You can support the show on our Patreon page! https://www.patreon.com/TomorrowsLegends You will get access to bonus content like advanced releases, extra questions answered, hang-out sessions, bonus episodes, and merchandise of course!

Movie: Inception Welcome to The Feature Film Podcast! This week we delve into lnception. Our conversation ranges from the visual effects of the movie, the meaning of character's names, to the philosophy of "chosen truth". We even hear Kyler's ranking of the Mission Impossible movies. Enjoy the show! Follow us on Instagram: @featurefilmpod Subscribe on YouTube: @TheFeatureFilmPodcast Support us on Spotify! --- Send in a voice message: https://podcasters.spotify.com/pod/show/featurefilmpod/message Support this podcast: https://podcasters.spotify.com/pod/show/featurefilmpod/support

Welcome to the EOS Fireside Chat! Join us every week as we dive into the latest news and updates from the EOS Network. Get involved, learn, and share your insights with a community of EOS enthusiasts. TOPICS 00:00:00 Introduction 00:01:42 EOS Approved by Japan Regulators 00:17:44 EOS Labs Chinese Fireside Recap 00:36:51 ENF Office Hours 00:42:26 Facings NFT Creator Updates 00:42:13 Pomelo Season 6 Results 00:54:18 Wharf Kit Webinar 01:04:18 Upland Totems // EOS Network Foundation // https://www.eosnetwork.comhttps://twitter.com/EosNFoundationhttps://www.linkedin.com/company/eos-...https://t.me/EOSNetworkFoundationhttps://discord.gg/eos-network info@eosnetwork.com #EOS #ENF

Three unique voices in today's horror bring you new takes on an old power that threatens to reshape our world. Celtic legends are reborn within these pages, with fresh stories guaranteed to spark nightmares in the vein of Grimm's pre-Disneyfied fairy tales.A Knot Within A Knot by Jason Parent: A man survives a plane crash only to find himself in darker circumstances, with a winter storm on the horizon and an orphaned child in tow. An elderly woman faces off against a god of night and his steed from the confines of her airplane seat, while another hides from night and storm in the hope of a new dawn. Unbeknownst to them, their fates are linked and dependent upon the next two tales.Bound in the Valley of Balor by Curtis M. Lawson: After surviving a plane crash, a corrupt federal agent and a mob informant find themselves stranded in a remote valley. Blood spilled during a conflict between the two awakens an ancient evil bound beneath the valley. Can either of them escape from The Valley of Balor?Summons by William Meikle (part of hisMythos of Sigils & Totems): Would you fall slave to the rhythm?He came to Scotland after the death of his wife in search of peace. But the old house is restless. Something is waking, something noisy, something that will not be denied.His search for meaning in the face of ever increasing activity in the house leads him down strange occult pathways, into deep history and a story that is racing to a finish.The rhythm calls to him. Will he fall slave to it? Or is there a path to be the drum master before it subsumes him utterly?This Celtic horror anthology is perfect for fans of folk horror, myths and legends, supernatural horror fiction, Grimm fairy tales, and Scottish survival horror, or fans of Ritual by Adam Nevill, Bag of Bones by Stephen King, or the legendary Ramsey Cambell.Crystal Lake's Dark Tide series will continue soon with more tales of Mystery Thrillers and Horror Books, including themes of Weird Western, Sherlock Holmes, Grief Horror, Body Horror, Mystery fiction, Travel Horror, Deadly Duos, and Psychological Thriller books.Proudly represented by Crystal Lake Publishing—Tales from the Darkest Depths.Support this show http://supporter.acast.com/houseofmysteryradio. Become a member at https://plus.acast.com/s/houseofmysteryradio. Hosted on Acast. See acast.com/privacy for more information.

So ancient was Totemism in Egypt that the Totems of the human Mothers had become the signs of Goddesses, in whom the head of the beast was blended with the figure of the human female. The Totems of the human Mothers had attained the highest status as Totems of a Motherhood that was held to...

Cuban-born photo-based artist, María Martínez-Cañas, first came to the US at the tender age of three months with her parents, and four years later, in 1964, they relocated to Puerto Rico. Maria recalls her earliest fascination for photography as an eight year old when she started working with a Polaroid Swinger camera that her parents gave her. Her mother also gave her an old Twin-Lens Rolleiflex that she brought out of Cuba, which Maria still has today. It wasn't long before she asked her parents for a darkroom in the house, and thus began her passion for the process of creating images and processing film. Maria has been called a precocious photographer with an insatiable appetite to explore the art of photography and it wasn't long before her talent became apparent when she had her first exhibition in 1977 at the age of seventeen. Between 1978 and 1982 she attended the Philadelphia College of Art, where she studied with the likes of Joan Redmond, Ron Walker, Eileen Berger, and Arno Rafael Minkkinen. In 1985, Maria received a Fulbright Hays Grant, which enabled her to travel to Spain to study and where she culled archival sources, such as historical maps and documents, which inspired her to create negatives based on Cuban maps. She returned to the United States in 1986 where she settled in Miami. Two important series from the 1990s—Totems and Quince Sellos Cubanos (Fifteen Cuban Stamps)—epitomize her interest in a photomontage aesthetic and use of imagery drawn from her Caribbean childhood. Maria is the recipient of numerous awards and grants, including a Pollock-Krasner Foundation Photography Fellowship (2016), a National Endowment for the Arts grant (1988) and a Civitella Ranieri Foundation fellowship (2014) in Umbertide, Italy. Her photographs are in many private and public collections, including the Los Angeles County Museum of Art; American Art Museum, Smithsonian Institution; the Philadelphia Museum of Art, Philadelphia; and the Museum of Modern Art and International Center of Photography in New York. She is currently working on a project that involves the work of early 20th century German photographer August Sander. When she is not in her studio, Maria enjoys deep sea diving for which she is a certified diver, and watching her favorite basketball team, the Miami Heat. She says: “I think that visually, when you look at a work of art, be it sculpture, be it painting, be it photograph, whatever it is, you as a person, you're bringing yourself, who you are, what we call the baggage, you bring your iconography, you bring your identity, you bring your experiences as a person … with your eyes you're looking at an art work but with your head and with your heart; two very different things, the brain and the heart, but when they are communicating with each other, it's a very interesting dialogue. You don't have to know about art, you just have to relate to it.”Maria's Favorite Female Artists:Eva HesseKiki SmithBarbara BlondeauBarbara CraneLouise BourgeoisDoris Salcedo GegoAmelia PelaézZilia SánchezJess T DuganMaria's Playlist:Si*SéFederico AubeleMazzy StarNatasha St-PierSilvio RodriguezColdplaySimply RedSarah McLachlanLisseEeGal CostaMaria BethaniaNorah JonesOmara PortuondoShawn ColvinFrancis Cabrel MandalayLuz CasalCesaria Evora BebeEdnita Nazariohttps://mariamartinez-canas.com/Instagram: @mphotogramHost: Chris Stafford@theaartpodcastEmail: hollowellstudios@gmail.comThis show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/4769409/advertisement

Three unique voices in today's horror bring you new takes on an old power that threatens to reshape our world. Celtic legends are reborn within these pages, with fresh stories guaranteed to spark nightmares in the vein of Grimm's pre-Disneyfied fairy tales.A Knot Within A Knot by Jason Parent: A man survives a plane crash only to find himself in darker circumstances, with a winter storm on the horizon and an orphaned child in tow. An elderly woman faces off against a god of night and his steed from the confines of her airplane seat, while another hides from night and storm in the hope of a new dawn. Unbeknownst to them, their fates are linked and dependent upon the next two tales.Bound in the Valley of Balor by Curtis M. Lawson: After surviving a plane crash, a corrupt federal agent and a mob informant find themselves stranded in a remote valley. Blood spilled during a conflict between the two awakens an ancient evil bound beneath the valley. Can either of them escape from The Valley of Balor?Summons by William Meikle (part of hisMythos of Sigils & Totems): Would you fall slave to the rhythm?He came to Scotland after the death of his wife in search of peace. But the old house is restless. Something is waking, something noisy, something that will not be denied.His search for meaning in the face of ever increasing activity in the house leads him down strange occult pathways, into deep history and a story that is racing to a finish.The rhythm calls to him. Will he fall slave to it? Or is there a path to be the drum master before it subsumes him utterly?This Celtic horror anthology is perfect for fans of folk horror, myths and legends, supernatural horror fiction, Grimm fairy tales, and Scottish survival horror, or fans of Ritual by Adam Nevill, Bag of Bones by Stephen King, or the legendary Ramsey Cambell.Crystal Lake's Dark Tide series will continue soon with more tales of Mystery Thrillers and Horror Books, including themes of Weird Western, Sherlock Holmes, Grief Horror, Body Horror, Mystery fiction, Travel Horror, Deadly Duos, and Psychological Thriller books.Proudly represented by Crystal Lake Publishing—Tales from the Darkest Depths.Support this show http://supporter.acast.com/houseofmysteryradio. Become a member at https://plus.acast.com/s/houseofmysteryradio. Hosted on Acast. See acast.com/privacy for more information.

This week, we're talking toys with Kyle Wlodyga, Associate Art Director at Super7. Kyle is the Papa Emeritus III of toy design, blending his love of all things metal and plastic into some of the most iconic pop culture-guided action figures and collectibles ever created. We talk about the explosive growth of pop culture collectibles, their origins, what a blind box is, and we go deep behind the scenes on how the sausage is made from licensing, distribution, partnerships, and toy mold Tetris?It's an all-access pass through the fandom-fed and nerd-led collectible industry, so buckle up, cuz this episode is a headbanger.

Totems and moose and brother bears, oh my! Between mystical spirits and Phil Collins, this movie has our hearts. Plus, don't foreget to join us at the end of the episode as we chat about some of our current obsessions.

Cuban-born photo-based artist, María Martínez-Cañas, first came to the US at the tender age of three months with her parents, and four years later, in 1964, they relocated to Puerto Rico. Maria recalls her earliest fascination for photography as an eight year old when she started working with a Polaroid Swinger camera that her parents gave her. Her mother also gave her an old Twin-Lens Rolleiflex that she brought out of Cuba, which Maria still has today. It wasn't long before she asked her parents for a darkroom in the house, and thus began her passion for the process of creating images and processing film. Maria has been called a precocious photographer with an insatiable appetite to explore the art of photography and it wasn't long before her talent became apparent when she had her first exhibition in 1977 at the age of seventeen. Between 1978 and 1982 she attended the Philadelphia College of Art, where she studied with the likes of Joan Redmond, Ron Walker, Eileen Berger, and Arno Rafael Minkkinen. In 1985, Maria received a Fulbright Hays Grant, which enabled her to travel to Spain to study and where she culled archival sources, such as historical maps and documents, which inspired her to create negatives based on Cuban maps. She returned to the United States in 1986 where she settled in Miami. Two important series from the 1990s—Totems and Quince Sellos Cubanos (Fifteen Cuban Stamps)—epitomize her interest in a photomontage aesthetic and use of imagery drawn from her Caribbean childhood. Maria is the recipient of numerous awards and grants, including a Pollock-Krasner Foundation Photography Fellowship (2016), a National Endowment for the Arts grant (1988) and a Civitella Ranieri Foundation fellowship (2014) in Umbertide, Italy. Her photographs are in many private and public collections, including the Los Angeles County Museum of Art; American Art Museum, Smithsonian Institution; the Philadelphia Museum of Art, Philadelphia; and the Museum of Modern Art and International Center of Photography in New York. She is currently working on a project that involves the work of early 20th century German photographer August Sander. When she is not in her studio, Maria enjoys deep sea diving for which she is a certified diver, and watching her favorite basketball team, the Miami Heat. She says: “I think that visually, when you look at a work of art, be it sculpture, be it painting, be it photograph, whatever it is, you as a person, you're bringing yourself, who you are, what we call the baggage, you bring your iconography, you bring your identity, you bring your experiences as a person … with your eyes you're looking at an art work but with your head and with your heart; two very different things, the brain and the heart, but when they are communicating with each other, it's a very interesting dialogue. You don't have to know about art, you just have to relate to it.” Maria's Favorite Female Artists: Eva HesseKiki Smith Barbara Blondeau Barbara Crane Louise Bourgeois Doris Salcedo GegoAmelia Pelaéz Zilia Sánchez Jess T Dugan Maria's Playlist: Si*SéFederico AubeleMazzy StarNatasha St-PierSilvio RodriguezColdplaySimply RedSarah McLachlanLisseEeGal CostaMaria BethaniaNorah JonesOmara PortuondoShawn ColvinFrancis Cabrel MandalayLuz CasalCesaria Evora BebeEdnita Nazario https://mariamartinez-canas.com/ Instagram: @mphotogram Host: Chris StaffordProduced by Hollowell Studios@theaartpodcastEmail: hollowellstudios@gmail.com

In this episode Chris, Steve and Sam talk with special guest, goaltender for the 23-24 Seattle Totems, Casey Johnson!  Recorded Monday, May 29, 2023, P.M. CEST. Let us know what you think on Twitter: https://twitter.com/PHHOfficialOr on Instagram: https://www.instagram.com/phhpodcast/Sound effects obtained from https://www.zapsplat.com

Big time ASMR episode this week. David drives in the rain to pick up breakfast for his family, while Kelby tells him about Sand Land. Then, the boys talk about the process behind Kelby's serialized cyberpunk book, Samurai Jesus. On this episode, we talk: Getting in the car to get some breakfast, adjusting the levels, two tracks, black hole episodes, talking about writing, petrichor, Kelby's love for mountains, David's self-loathing, ordering food, lowkey panicking over not working, survival mentality, the fear of being poor, learning Amazon Ads, drive-thru etiquette, tailoring books to be sold, the Gantz model, erotic cyberpunk art, Kensington, Maryland, covers sell the book, Mad Max anime with demons, the history of Akira Torayama, pages crammed with detail, tank battles, readers who like variety vs. readers who like comfort/relatability, Kelby's propensity for putting naked dudes in his books, the once-a-month model, getting AI to draw a manga, the missing pencil holder, getting tired of being in trouble, the writing utility of ChatGPT, using platforms before they become bad, needing time to develop ideas, the Seinfeld model, what we do over on the Patreon, Samurai Jesus recap, constraints develop style, short books vs. long books, the popularity of self-publishing in the UK, the love of prestige, sloppiness as a style, style follows circumstance, and assuming the reader understands what you mean.

What if you could grow functional mushrooms next to your tomato plants? In this episode 2 of the Mushroom Miniseries, Billy and I continue our exploration of the world of mushrooms in partnership with North Spore and their expert mycologist, Louis Giller. Today's episode focuses on growing mushrooms in your garden and covers topics such as integrating mushrooms into a traditional garden and the benefits of cultivating mushrooms alongside your plant babies!Enjoy an exclusive 10% off your mushrooms,use code 'GROWINGJOY' at northspore.com!In this episode, we learn:[05:35] Benefits of Lion's Mane mushroom supplements for improved focus and energy[09:15] Why should you grow mushrooms in your garden?[10:45] Specific vocabulary in mushroom cultivation[12:43] Is mushroom DNA diverse or uniform across different areas?[15:30] Why you can't simply grow any mushrooms in soil alone[17:15] Are mushrooms annuals or perennials?[20:14] Where can you find full spectrum plant lights to bring the beauty of outdoors inside this April?[22:16] Where can you find a healthy meal delivery program?[24:52] What protections exist for preventing other mushroom species from colonizing a bed of ripe food and confusing the farmer?[26:29] Can you harvest mushrooms immediately after inoculating your garden beds?[27:35] What mushrooms are best for beginners to grow in the garden?[29:30] Do you need a lot of space to grow a good harvest?[30:29] Do worms compete or work with mycorrhizal? [32:25] What materials do you need for growing mushrooms in your garden?[34:44] Where can you find a wind chime that would make the perfect gift these holidays?[36:21] How can you grow mushrooms in your mulch? [41:04] Does a denser, ground-level plant provide better shade for the mushrooms??[44:00] Is there a general rule for spacing the insertion points when inoculating a bale of hay?[44:49] How do mycorrhizal networks and mold coexist in nature, particularly in damp and dark environments?[48:09] How to create a mushroom container for small gardening spaces[52:49] What are the required maintenance tasks for growing mushrooms during the season?[57:03] What is the difference between cutting and pulling mushrooms during harvesting?[58:23] Best beginner mushroom varieties that are resilient to temperature and humidity changes[59:40] Different mushrooms that you can grow in different garden zones or different climates[01:00:56] What is the process of inoculating logs for growing mushrooms?[01:03:48] What's the purpose of wax capping your mushrooms?[01:05:29] Can mushroom inoculation be done before or after the frost date?[01:10:12] Where can you find mushroom spawns and learn more about mushroom growing?Mentioned in our conversation:North Spore 'Spray & Grow' Mushroom Growing KitsPink Oyster ‘Spray & Grow' Mushroom Growing KitYouTube video North Spore Test garden in Portland, MaineLion's Mane tinctureHow to Grow Mushrooms in Buckets & ContainersWhich Species of Log is Best?How to Make Outdoor Mushroom BedsHow to Grow Mushrooms on Logs, Totems & StumpsMushroom Spores vs. Spawn: What is the Difference?YouTube video How to Grow Mushrooms on Logs | Complete Inoculation Walkthrough!For a complete checklist of mushroom gardening necessities,check out the full show notes and blog here!Thank you to our episode sponsors:Soltech SolutionsSoltech Solutions makes the grow lights you've heard me talk about for years: whether you are looking for a pendant light, track lighting, or a simple bulb to screw into any standard light fixture, Soltech has got you covered. They offer quality products with great customer service, free shipping, and a 5-year warranty. Keep the sun shining and the plants green inside your home with Soltech Solutions.Check them out at soltechsolutions.com and get 15% off with code "bloom15".SakaraMake eating healthier easier with science-backed, plant-rich nutrition programs and wellness essentials right to your door! Sakara provides ready-to-eat meals that are nutritionally designed to deliver results — from weight management and eased bloat, to boosted energy and clearer skin. Enjoy delicious meals that have a perfect balance of plants,protein and fats, while also taking control of your physical health.Get 20% off your first order when you use code "GROWINGJOY" at sakara.com.Wind River ChimesBring more peace, serenity, and magic into your home with chimes. Wind River is a Virginia-based company creating premium handcrafted and hand-tuned wind chimes for over 35 years. If you are looking for a new way to grow joy in your life and find a moment of peace, a Wind River chime is the perfect addition for your home or garden. Plus, it's a perfect personalized gift for your loved ones!Visit windriverchimes.com and use code GROWINGJOY to receive free engraving on all Corinthian Bells wind chimes.Follow North Spore:Louis' LinkedInWebsiteInstagramYouTubeFacebookTikTokPinterestFollow Maria and Growing Joy:Order my book: Growing Joy: The Plant Lover's Guide to Cultivating Happiness (and Plants) by Maria Failla, Illustrated by Samantha LeungJoin the Bloom and Grow Garden Party Community Platform & App AKA the plantiest and kindest corner of the internet! Get your FREE 2-week trial here!Take the Plant Parent Personality Quiz (Get the perfect plants, projects and educational resources for YOUR Lifestyle)Support Bloom and Grow Radio by becoming a Plant Friend on Patreon!Instagram: @growingjoywithmariaTiktok: @growingjoywithmariaSubscribe to the Growing Joy Youtube channel! /growingjoywithmariaWebsite: www.growingjoywithmaria.comPinterest: @growingjoywithmariaOur Sponsors:* Check out Quince: https://www.quince.com/Advertising Inquiries: https://redcircle.com/brands

Fetishes, talismans, and totems are all items that are used for protection. They can be found in many different cultures across the world. The use of these items can vary from culture to culture and from person to person. The beliefs in these items range from being a form of protection to being a way to get something you want or need. The use of these items is also seen as a form of ritualism, which is the act of engaging in certain actions or activities with the belief that they will bring about some desired result. In this episode, I explore how these items are used in traditional African religions. Check Out Our Products and Services!!! CONNECTING WITH YOUR ANCESTORS: https://amzn.to/3K8NuvU IFA (ORISHA) DIVINATION: https://asanee44.com/product-category/ifa-divination/ IFA PRODUCTS & SERVICES: https://asanee44.com/product-category/ifa-products-services/ SPIRITUAL COACHING SERVICES: https://asanee44.com/product-category/spiritual-coaching/ SUPPORT: https://anchor.fm/african-spirit/support --- Send in a voice message: https://podcasters.spotify.com/pod/show/african-spirit/message

Today on What's Right: The Democrats' 2024 campaign has a Kamala problem Our Veep's cringy appearance on Colbert DeSantis is living rent free in the head of every leftist Biden wants to codify "gender-affirming care" for kids into law 3D printing is a problem for gun grabbers, and they're not even close to catching up Thanks for tuning into today's episode of What's Right! If you enjoyed this episode, subscribe to the show on Spotify or Apple Podcasts and make sure you leave us a 5-star review. Have personal injury questions? Visit Sam & Ash Injury Law to get free answers 24/7. Connect with us on our socials: TWITTER Sam @WhatsRightSam What's Right Show @WhatsRightShow FACEBOOK What's Right Show https://www.facebook.com/WhatsRightShow/ INSTAGRAM What's Right Show @WhatsRightShow To request a transcript of this episode, email marketing@samandashlaw.com.

This is a slightly different type of episode. Shannon and Nick are talking about their own magical totems - items that have special significance and are used in daily ritual. This is a fun one, so please enjoy! To keep up with the witches, follow them on Instagram @wandsandfrondspod. They're always happy to hear from you (and take topic requests). You can also email them at wandsandfrondspod@gmail.com. If you've wanted to see the video podcast recordings, you're in luck! Since the Patreon is on hiatus, check out the youtube channel for never before released episodes, and live video recordings of the last 30+ episodes!

Welcome to our Minecraft podcast where we will be discussing one of the game's most challenging modes, Hardcore. In this episode, we will be diving into the unique features of this game mode and sharing our thoughts on whether or not players should use totems of undying. Hardcore mode is a game mode that offers a new level of challenge to players. In this mode, players only have one life and must survive against all odds. The game mode offers a unique experience, where every decision matters, and players must carefully plan their actions to avoid death. One of the items that can help players survive in Hardcore mode is the Totem of Undying. This powerful item can save a player's life once, but it comes at a high cost. We will be discussing the pros and cons of using the Totem of Undying and whether or not it is worth it to use it in Hardcore mode. Throughout the podcast, we will provide in-depth analysis and share our personal experiences with Hardcore mode. We will also discuss the challenges of playing in this game mode and the strategies players can use to increase their chances of survival. Whether you are a seasoned Minecraft player or new to the game, this podcast is for you. So tune in and join us as we explore the exciting world of Minecraft Hardcore mode and debate the use of Totems of Undying. Hosted on Acast. See acast.com/privacy for more information.

This week, we're discussing Animal Totems. In the general neoPagan community people - not everyone - who work with animal spirit guides talk about Animal Totems. Purists will tell you that that's kind of a misnomer. Totems are not really spirit guides and spirit guides are not really totems. Where do YOU stand on this immense question?? Well, I'm here to untangle the whole mess and by the time we're finished we'll all know what really is what. So we start of with a pretty clear definition of what a Totem is - where the word came from and how it was used. And we'll look at WHERE the word was used as well. Plus, we'll find out what Carl Gustave Jung had to say about Totems. Then we'll get into Power Animals, and animal guides, with some - interesting - contemporary theories on the subject. Be well. Do good. Enjoy the show!

Welcome to The Becoming Better Together in Mindset and Business with Brie Willits. Are you ready to become a superhero? In today's episode, we are going to talk about superheroes and how you can become the superhero in your life and in your business, with just a little mindset switch and your imagination. So make sure you stay until the end, because I'll give you some journal questions to think about for you so that you can apply this in your life, become the superhero, defeat the villains that are in your mind or in your business and protect the community that you love and you want to defend. Let's get started. In this episode, I will cover: The Alter Ego Effect (1:00) How a superhero alter ego can help your business (3:52) How to create your own alter ego (4:50) Costumes, Totems, and Power Words (13:45) Connect with Brie On Facebook: https://m.facebook.com/coachingwithbrie/ On Pinterest: https://www.pinterest.ph/briewillits/ On Instagram: https://www.instagram.com/briewillits/ Ready for accountability? Sign up here: https://www.coachingwithbrie.com/accountability-membership Join the (free) Becoming Better Together community on Facebook: https://www.facebook.com/groups/becomingbettertogether For questions, email coachingwithbrie@gmail.com --- Send in a voice message: https://anchor.fm/brie-willits/message

Bonus Episode #26 of BGMania: A Video Game Music Podcast. This week on the show, Bryan and Kyle from RPGera present another Spotlight episode, this time focusing on the music found within World of Warcraft: Wrath of the Lich King! Email the show at bgmaniapodcast@gmail.com with requests for upcoming episodes, questions, feedback, comments, concerns, whatever you want really! Special thanks to our Executive Producers: Jexak & Xancu. EPISODE PLAYLIST AND CREDITS Rise of the Vrykul from World of Warcraft: Wrath of the Lich King [Russell Brower, 2008] Howling Fjord from World of Warcraft: Wrath of the Lich King [Derek Duke, 2008] Totems of the Grizzlemaw -Grizzly Hills- from World of Warcraft: Wrath of the Lich King [Russell Brower, 2008] Crystalsong from World of Warcraft: Wrath of the Lich King [Russell Brower, 2008] The Wrath Gate from World of Warcraft: Wrath of the Lich King [Russell Brower & Jason Hayes, 2008] God Hunters -Zul'Drak- from World of Warcraft: Wrath of the Lich King [Derek Duke, 2008] The Kalu'ak from World of Warcraft: Wrath of the Lich King [Derek Duke, 2008] The Culling from World of Warcraft: Wrath of the Lich King [Glenn Stafford, 2008] Angrathar's Shadow from World of Warcraft: Wrath of the Lich King [Derek Duke, 2008] Thor Modan from World of Warcraft: Wrath of the Lich King [Russell Brower, Derek Duke & Glenn Stafford, 2008] The Storm Giants from World of Warcraft: Wrath of the Lich King [Russell Brower, Derek Duke & Glenn Stafford, 2008] The Titans -Ulduar- from World of Warcraft: Wrath of the Lich King [Russell Brower, Derek Duke & Glenn Stafford, 2008] Sindragosa from World of Warcraft: Wrath of the Lich King [Russell Brower & Derek Duke, 2008] Citadel -Icecrown Citadel- from World of Warcraft: Wrath of the Lich King [Derek Duke, 2008] SUPPORT US Patreon: https://patreon.com/rpgera CONTACT US Website: https://rpgera.com Discord: https://discord.gg/cC73Heu Twitch: https://twitch.tv/therpgera Twitter: https://twitter.com/OriginalLDG Instagram: https://instagram.com/bryan.ldg/ Facebook: https://facebook.com/leveldowngaming RPGERA PODCAST NETWORK Very Good Music: A VGM Podcast --- Send in a voice message: https://anchor.fm/bgmania/message