Podcasts about carnegie mellon

This podcast is about big ideas on how technology is making life better for people with vision loss. Navigating the world can be difficult for anyone, whether or not they have vision loss. Tasks like driving safely through a city, navigating a busy airport, or finding the right bus stop all provide unique challenges. Thankfully, advances in technology are giving people more freedom of movement than ever before, allowing them to get where they want, when they want, safely. Smart Cities are putting data collection to work in a healthy way by providing information to make busy intersections more secure, sidewalks more accessible, and navigation more accurate. They're providing assistance for all aspects of travel, from the front door to the so-called “last hundred feet,” while using automated technology to make life easier every step of the way.  And although fully autonomous vehicles are still on the horizon, the technology being used to develop them is being applied to improve other aspects of life in incredible ways. These applications are making the world more accessible, safer, and better for everyone, including people who are blind or visually impaired. One example of this is Dan Parker, the “World's Fastest Blind Man,” who has developed sophisticated guidance systems for his racing vehicles, as well as a semi-autonomous bicycle that could give people with vision loss a new way to navigate the world safely and independently.   The Big Takeaways: Smart Cities. Greg McGuire and his team at MCity in Ann Arbor, Michigan are working on the concept of Smart Cities, which focus on using data to improve the everyday lives of their citizens. That means improving traffic intersection safety, greater accessibility options, providing detailed “last hundred feet” guidance, and much more. Autonomous Driving. In a perfect world, self-driving cars will provide ease of transportation for everyone, and create safer, less congested roads. That technology isn't there yet – but it's being worked on by talented researchers like John Dolan, the Principal Systems Scientist at Carnegie Mellon's Autonomous Driving Vehicle Research Center. Sophisticated sensors and advanced robot-human interfaces are being developed to make self-driving cars possible. Application of Technology. Even though the technologies behind Smart Cities and autonomous vehicles are still being developed, they can still be applied to everyday life in exciting ways. Things like miniature delivery robots that can deliver goods, AI-powered suitcases that can help you navigate busy airports, or semi-autonomous bicycles are already here – and there's more on the way. The World's Fastest Blind Man. When professional race car driver Dan Parker lost his vision in an accident, he felt lost. But a moment of inspiration led him and his business partner Patrick Johnson to develop a sophisticated guidance system that let him continue racing without human assistance. Thanks to this revolutionary technology, Dan became the “World's Fastest Blind Man” when he set a land-speed record of 211.043 miles an hour in his customized Corvette.   Tweetables: “One of the key pillars of MCity is accessibility. The four areas we think about are safety, efficiency, equity, and accessibility. … Accessibility is that we can make transportation systems available to as many of us as possible.” – Greg McGuire, Managing Director of MCity “I became the first blind man to race Bonneville, with an average speed of 55.331 mph. And I returned in 2014 and set my official FIM class record … at 62.05 mph. … I'm the only blind land speed racer … with no human assistance.”– Dan Parker, the “World's Fastest Blind Man” “There are chairs, there are tables. ... We know we don't want to run into them, but we do want to walk in the walkable space. … A car wants to drive in the drivable space.” – John Dolan, Principal Systems Scientist at Carnegie Mellon's Autonomous Driving Vehicle Research Center “Because we know autonomous technology is increasing every day and it's coming, you know, a hundred percent it's coming. You know, transportation is freedom and that's exactly what that would bring us. Freedom.” – Dan Parker   Contact Us: Contact us at podcasts@lighthouseguild.org with your innovative new technology ideas for people with vision loss.   Pertinent Links: Lighthouse Guild MCity Carnegie Mellon Autonomous Driving Vehicle Research Center Dan Parker

A conversation between Dennis Size and Sheryl Wisniewski of The Lighting Design Group about what goes into creating budgets for lighting television.   Topics: ⭐️ How projects “walk in the door” ⭐️ Thought process in estimating ⭐️ Hidden costs we don't want to miss ⭐️ How Designers and Project Managers collaborate in the budgeting process   Quicklinks - Artistic Finance: https://linktr.ee/artisticfinance   Sheryl Wisniewski: https://www.linkedin.com/in/sherylwisniewski/ Instagram - @swhiz321 https://www.instagram.com/swhiz321/   Dennis Size: https://www.linkedin.com/in/dennis-size-0108234/   LDG - The Lighting Design Group: https://ldg.com/ https://www.instagram.com/ldg_lightingdesigngroup/?ref=5rqdmdyz0usvw&hl=am-et   Sheryl Bio: Sheryl joined LDG in 2002 as an Assistant Lighting Designer/Project Coordinator and has since warmed almost every chair in the Production Department.  She has earned 8 Emmys for her work on projects including CNN Heroes: An All-Star Tribute, NBC's Coverage of 10 Olympic Games, 5 Presidential Election Cycles, and 2 Royal Weddings.  When she takes off her LDG hat, she spends her time learning to raise compassionate young humans.   Dennis Bio: Bio - In his 40+ year career Dennis has designed lighting for shows on every major television Broadcast and cable Network. His international design repertoire includes theatre, dance, live events, soap operas, talk shows, news magazines, government projects, corporate events/facilities, concerts, sporting events, political conventions, Presidential debates, award shows, and has lit every U.S. President since Ronald Reagan. He has written for trade journals and taught design at several Universities, including Carnegie Mellon, Penn State, and the University of Scranton.   He has been nominated for the EMMY Award 13 times, and has won five. For an extended list of his, and LDG's credits, log on to: www.ldg.com   Instagram Handles: @swhiz321 @ethansteimel @artisticfinance @ldg_lightingdesigngroup  

Geoffrey Hinton est l'un des pères de l'intelligence artificielle. Dès les années 1970, il s'intéresse aux réseaux de neurones humains, dont il pense pouvoir reproduire le fonctionnement dans des systèmes d'intelligence artificielle. Une décennie plus tard, il enseigne dans la prestigieuse université privée Carnegie Mellon, spécialisée dans la recherche. En 2012, Geoffrey Hinton fonde, avec deux collaborateurs, la société DNNResearch, rachetée par Google l'année suivante. C'est dans ce cadre qu'il approfondit ses recherches sur le concept de "deep learning", une variété d'intelligence artificielle capable, selon un processus semblable à celui mis en œuvre par des neurones humains, d'assimiler des connaissances. Ses recherches seront tout aussi essentielles pour la mise au point des premiers "chatbots", ces programmes informatiques capables de mener une conversation avec un être humain. Les travaux décisifs de Geoffrey Hinton en matière d'intelligence artificielle, seront couronnés, en 2018, par le prestigieux prix Turing, qu'il partage avec deux scientifiques également très réputés. Mais aujourd'hui Geoffrey Hinton est un homme désenchanté. Il vient de quitter Google et ne craint pas de faire part publiquement de ses regrets et de ses inquiétudes au sujet de l'avenir de l'intelligence artificielle. De son point de vue, en effet, elle pourrait être mal utilisée. Ainsi, l'intelligence artificielle remplace déjà de nombreux salariés et pourrait bientôt en priver beaucoup d'autres de leurs emplois. Selon certaines estimations, environ 300 millions de personnes pourraient ainsi, à terme, perdre leur travail. Sans que la création d'emplois, générés par la mise en place et la maintenance de ces nouveaux dispositifs, soit suffisante pour compenser une telle perte. Par ailleurs, ces nouveaux dispositifs pourraient être utilisés à des fins militaires, ce que redoute aussi Geoffrey Hinton. Il déplore également la concurrence que se livrent, dans ce domaine, des géants du secteur comme Google et Microsoft. Elle pourrait aboutir, selon lui, au déversement sur la toile d'un flot d'informations, entre lesquelles les internautes auront du mal à séparer le bon grain de l'ivraie. En effet, de fausses informations, d'apparence très crédible, pourraient être créées par le biais de l'intelligence artificielle. Learn more about your ad choices. Visit megaphone.fm/adchoices

David Sloan is the Men's Basketball Associate Head Coach at Carnegie Mellon University where he also serves as the Tartans' recruiting coordinator.Sloan came to Carnegie Mellon from Maine Maritime Academy, where he served as the top men's assistant coach for two seasons and head recruiter. Prior to coaching the Mariners, he served as assistant coach at Boyertown Area High School in Boyertown, Pennsylvania. In addition, Sloan has coached at numerous camps, including the Tom Izzo Basketball Camp at Michigan State University, as well as an instructor at the prestigious Hoop Group.Sloan is a 2014 graduate of Alvernia University with a Bachelor of Science degree in athletic training. While at Alvernia he was a four-year player for the Wolves basketball team.If you're looking to improve your coaching please consider joining the Hoop Heads Mentorship Program. We believe that having a mentor is the best way to maximize your potential and become a transformational coach. By matching you up with one of our experienced mentors you'll develop a one on one relationship that will help your coaching, your team, your program, and your mindset. The Hoop Heads Mentorship Program delivers mentoring services to basketball coaches at all levels through our team of experienced Head Coaches. Find out more at hoopheadspod.com or shoot me an email directly mike@hoopheadspod.comFollow us on social media @hoopheadspod on Twitter and Instagram.Website - https://athletics.cmu.edu/sports/mbkbEmail - dmsloan@andrew.cmu.eduTwitter - @Coach_DSloanVisit our Sponsors!Dr. Dish BasketballMention the Hoop Heads Podcast when you place your order and get $300 off a brand new state of the art Dr. Dish Shooting Machine! Fast Model SportsFastModel Sports has the most compelling and intuitive basketball software out there! In addition to a great product, they also provide basketball coaching content and resources through their blog and playbank, which features over 8,000 free plays and drills from their online coaching community. For access to these plays and more information, visit fastmodelsports.com or follow them on Twitter @FastModel. Use Promo code HHP15 to save 15%The Coaching PortfolioYour first impression is everything when applying for a new coaching job. A professional coaching portfolio is the tool that highlights your coaching achievements and philosophies and, most of all, helps separate you and your abilities from the other applicants. Special Price of just $25 for all Hoop Heads Listeners.Training Camp - Elite Skill Development & Performance CombineThe first Training Camp - Elite Skill Development and Performance Combine will be held on the campus of Western Reserve Academy, just outside of Cleveland, OH powered by Unleashed...

Toi B. Wright is an independent consultant who has been working as a software developer for over 25 years. She has a BS in Computer Science and Engineering from the Massachusetts Institute of Technology and an MBA from Carnegie Mellon. She is the author of two editions of  'Blazor WebAssembly by Example: A project-based guide to building web apps with .NET, Blazor WebAssembly, and C#'. https://www.amazon.com/Blazor-WebAssembly-Example-practical-projects/dp/1803241853

On Today's Episode: In this Tactical Tuesday episode, we speak with three Department of Energy officials on strategies for building lasting, equitable institutions that effectively forward the adoption of clean energy in our communities. From the newly created Office of State and Community Energy Programs (SCEP) come Chief of Staff Chris Castro and Director Dr. Henry McKoy. SCEP's mission is to work closely with state and local governments, tribal nations, and community members to deploy decarbonizing technologies. Chris was formerly Director of Sustainability for the City of Orlando and President of the environmental nonprofit IDEAS for Us. Henry was the Director of Entrepreneurship at NC Central University, held positions at Duke University and Harvard University, and served in the North Carolina Department of Commerce. We also hear from Anna Siefken, Senior Advisor for the Office of Technology Transition (OTT). After serving as Executive Director of The Wilton E. Scott Institute for Energy Innovation at Carnegie Mellon, Anna joined the OTT to focus on moving energy and climate tech innovations from the research lab to market.Our guests offer specific insights about how to introduce clean energy solutions so that communities can really absorb them. They dig into staffing in a way that reflects the communities and building systems that lower barriers to entry for funding and programming. Chris and Anna talk about questions to ask when engaging organizations that don't always know how to proceed while Henry defines how to reach those communities that need decarbonizing tech the most.The goal for these three visionaries? “Transform this country,” as Chris puts it. Catch the full episode to learn how. If you want to connect with today's guest(s), you'll find links to their contact info in the show notes on the blog at https://mysuncast.com/suncast-episodes/.SunCast is presented by Sungrow, the world's most bankable inverter brand.You can learn more about all the sponsors who help make this show free for you at www.mysuncast.com/sponsors.Remember, you can always find resources, learn more about today's guest(s) and explore recommendations, book links, and more than 595 other founder stories and startup advice at www.mysuncast.com.You can connect with me, Nico Johnson, on:Twitter - https://www.twitter.com/nicomeoLinkedIn - https://www.linkedin.com/in/nickalus

Harold Hambrose is one of many titles, Chief Design Officer at Zenda, father, husband, and former New Jersey kid. Listen to hear his stories of growing up, attending Carnegie Mellon, and venturing across the pond to start his career in the UK. Harold eventually returned to the US, where he started on a journey building and leading teams focused on design and experience. Harold Hambrose: Linkedin: https://www.linkedin.com/in/haroldhambrose/ Emily Giordano Email: emily@greatdesignlead.com LinkedIn: https://www.linkedin.com/in/emily-giordano/ Twitter: @greatdesignlead - https://twitter.com/greatdesignlead Instagram: @greatdesignlead - https://www.instagram.com/greatdesignlead Website: www.greatdesignlead.com Sponsor: Unfinished https://www.unfinished.cc/ Podwork (Network for Guests & Podcasts): www.podwork.io --- Support this podcast: https://podcasters.spotify.com/pod/show/emily-giordano/support

Currently making his Broadway debut as Francois Du Bois in "& Juliet", Philippe Arroyo takes us through his personal journey. The actor shares what he does to recharge, including having alone time and reading plays at the famed Drama Bookshop. He looks back on why he got into theatre and growing as a person as he surrounds himself with different people, becoming more honest on stage—quite a parallel with Francois. While Philippe shares that he's exactly where he wanted to be today, he's aware that life can be incredibly unpredictable and uncontrollable at the same time, and that it's one of the beauties of it. He recalls getting replaced in the past, auditioning for Francois and getting the call that he got the role and his standout pinch-me moment which is seeing Lin-Manuel Miranda in the audience. As a kid, Philippe wanted to be a writer, and now that he's starting to make a name as an actor, he plans to pursue writing as well. And with his talent and his need/want to always be better in what he does, there's definitely no stopping Philippe. Philippe Arroyo is an actor and a Carnegie Mellon graduate whose past includes the first national tour of “Aladdin”, Joe Iconis' “Punk Rock Girl”, and the first national tour of “Into the Woods” among others. He also made an appearance in the series “Evil” and “Uncoupled”. Philippe currently making his Broadway debut playing Francois DuBois in the runaway hit “& Juliet”. Connect with Philippe: Instagram: @philippearroyo TikTok: @philippearroyo Connect with The Theatre Podcast: Support us on Patreon: Patreon.com/TheTheatrePodcast Twitter & Instagram: @theatre_podcast TikTok: @thetheatrepodcast Facebook.com/OfficialTheatrePodcast TheTheatrePodcast.com Alan's personal Instagram: @alanseales Email me at feedback@thetheatrepodcast.com. I want to know what you think. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dr. Shiv Rao is a cardiologist, teacher, former corporate VC, and the CEO of an exciting company that is changing how doctors help patients. Dr. Rao started Abridge in March 2018 to solve one of the biggest problems in healthcare. He has since raised $27M most recently in a $12.5M series A extension last August from leading investors including Bessemer, Union Square, Wittington Ventures, and legendary AI pioneer Yoshua Bengio.Today we explore what happens when AI automates the error-prone task of doctors taking notes during patient visits. It's easy to imagine a world where quality of ilife improves because doctors are present, focused on patient outcomes, and able to develop more genuine, human relationships while AI automates everything else.Listen and learn… How much of a doctor's time is spent not focused on patient care How AI can replace “pajama time” for doctors… and reduce burnout Why doctors require a 27-hour work day to deliver the quality of care patients expect How to use generative AI to assist doctors to capture better notes Who is responsible when AI makes mistakes that lead to incorrect diagnoses for patients Why AI won't replace doctors… but doctors using AI may replace doctors not using it How Abridge reduces the risk of generative AI hallucinations How a design thinking lecture changed Dr. Rao's life References in this episode… Paddy Padmabhan discusses the future of healthcare on AI and the Future of Work The Abridge homepage The open letter from Musk, Wozniak, and others to “slow down” the pace of AI development

The hedge that carries positively but delivers convex returns during a market panic is about as elusive as our lawmakers coming together in bipartisan fashion. As head of option strategies at AQR, Roni Israelov not only confirmed this but saw in the empirical data distinctly unpromising results for hedging strategies that utilized put options.Trained with a PhD in Financial Economics from Carnegie Mellon, Roni has spent his career researching complex topics in markets. We explore his paper “Pathetic Protection” and the challenges that arise from paying option premium to reduce risk. Roni sites the path dependency of options as introducing sometimes significant variability in the effectiveness of a program. He also sites the equity risk premium and the vol risk premium as headwinds for success.Our conversation shifts to another interesting topic, “rebalance timing luck”, work that Roni has done in collaboration with Newfound Research. The finding - that the performance of mechanically rebalanced strategies – can rest heavily on the date of rebalance, is especially the case for option strategies like the giant put spread collar on the SPX that is rolled each quarter.Roni is now the President and CIO of NDVR, a firm providing optimized portfolio solutions to individuals, using academic research, technology and tax efficiency. I hope you enjoy this episode of the Alpha Exchange, my conversation with Roni Israelov.

One way that growers can farm sustainably for the future is through vineyard fleet management. Marc Di Pietra, Regional Service Maintenance Manager for Treasury Americas, a subsidiary of global wine company Treasury Wine Estates, is doing just that by exploring alternative fuel sources and automation. Electric and hybrid vehicles reduce carbon emissions and lower the cost of fuel. The use of remote-operated equipment improves safety for operators, upscales the workforce, improves efficiencies, and has the potential to passively gather valuable data. The challenge is the existing infrastructure needed to support these tools. Learn what equipment Marc and his team are trialing as they work towards a goal to use 100% renewable energy. References: May 12, 2023 Integrating Mechanization Tailgate Meeting - REGISTER 77: Vineyard Pruning Technology 173: Reduce Your Carbon Footprint with Lightweight Wine Bottles Agtonomy Guss Monarch Tractor Polaris Robotics Plus Marc Di Pietra email Marc Di Pietra LinkedIn Stavros Vougioukas, Ph.D, Professor and Department Vice Chair, Biological and Agricultural Engineering, UC Davis Treasury Wines Estates Treasury Wine Estates 2022 Sustainability Report Treasury Wine Estates on LinkedIn Vineyard Team Programs: Juan Nevarez Memorial Scholarship - DONATE SIP Certified – Join to protect natural and human resource with us Vineyard Team – Become a Member Get More Subscribe wherever you listen so you never miss an episode on the latest science and research with the Sustainable Winegrowing Podcast. Since 1994, Vineyard Team has been your resource for workshops and field demonstrations, research, and events dedicated to the stewardship of our natural resources. Learn more at www.vineyardteam.org.   Transcript Craig Macmillan  0:00  And our guest today is Marc Di Pietra. He's Regional Service Maintenance Manager for Treasury America's part of Treasury Wine Estates. And thanks for being on the podcast.   Marc Di Pietra  0:09  Thank you, Craig, I really appreciate the opportunity to talk with you today, especially about some of the things we're working on. We're really excited, quick background on me. I joined Treasury wWine Estates in mid 2018, then transitioned into vineyard operations around 2019. And then since then, I've been focused on our equipment, sleep management in the vineyard with an eye on what farming of the future looks like.   Craig Macmillan  0:28  Farming of the future. That's a really interesting topic and a really big question, what that is going to look like, what kinds of things are you doing? What kinds of things do you do as part of this position as part of this project?   Marc Di Pietra  0:40  It's a great question, because every day it changes, right. But two of the biggest areas of opportunities that we see, we see alternative fuel types, fully electric, hybrid hydrogen or alternative fuel sources, and then also automation or remote operated mechanization. And so for alternative fuels, two of the major points here are obviously the rising cost of fuel, and then also how to lower our carbon emissions. So Treasury as a whole and supportive lowering emissions, we've been implemented two key goals in our journey. And that starts with a target of 100% renewable energy by 2024. That's the first step. And then the second step of that is net zero for scopes, one and two by 2030. So pretty big, lofty goals there. But that's why we're starting that path now.   Craig Macmillan  1:24  So Marc, can you kind of explain what scope one and scope two are in the world of carbon accounting?   Marc Di Pietra  1:30  Yeah, sure. So scope. One, emissions are direct greenhouse gas emissions that occur from sources controlled or owned by an organization. So an example like fuel combustion, boiler, furnace vehicles, things like that. Scope, two emissions, or indirect greenhouse gas emissions through the purchase of electricity, Steam, heat, or cooling. And then lastly, scope three, which is much bigger than that as activities from assets not owned or controlled by the organization, but indirectly affected value, like shipping supply chain, gas bottles, things like that.   Craig Macmillan  2:00  Yeah. And there's a lot of folks that are getting interested in that part of my job with Niner Wine Estates is who I work for. We're trying to figure out what's the carbon footprint of the glass we use, and many other people are looking at that same thing. Because when you stop and think about it, you go, Hey, wait a second, this came from France. And it weighs X, huh. You know, and so it's that kind of scope three stuff is really interesting to a lot of people.   Marc Di Pietra  2:23  Treasury on the background has done a lot of work on that to understand that big picture.   Craig Macmillan  2:26  And we have an episode that mentions that.   Marc Di Pietra  2:28  And the second big piece, which I hadn't hinted on was automation, also a key initiative because it allows us to help improve like our operator safety, upscale our existing workforce while improving efficiencies in the field. There's also an added bonus, that with this type of technology, we'll have the ability to gather passive data, which right now, it's still relatively new. But as we continue to grow and develop, we can process that data to make smarter decisions, you would ask some of the things that we're working on. So here in the US, we're working with GUSS remote operated spray systems, we've got Agtonomy, which is electric and remotely operated alternative to the tractor that you're familiar with. We've got two atari and Polaris electric, RTVs, Robotics Plus systems, which is both hybrid and remote operating. And we're also currently waiting for order of Monarch tractors that should be here in the next couple of weeks. Our international teams, they're also using some different equipment as well, such as vide bots or farm, Kelby, the yields and a few others.   Craig Macmillan  3:25  Talk to me about these alternate fuel things. I think this is a really interesting idea. And I haven't really followed it, tell someone who's never heard of this kind of thing, how this works?   Marc Di Pietra  3:35  Well, the easiest way to think about as you're driving up and down the road, and you see a gas station, and you see those three different price points,  for 87 89, and 91. And that's all pretty basic, but then you add in the cost of diesel on top of that there are other ways to fuel equipment as well. So we have a fully electric like you're familiar with your Tesla's or your Chevy bolts, but there's also hybrid, which you're familiar with to it has been doing this for a long time. And then there's also other types of fuel, like methane and hydrogen that are out there as well. The real big challenge that we're seeing, at least on our end, is the infrastructure to support all of these different growing ideas. That's why we're currently trying both electric and the hybrid options.   Craig Macmillan  4:14  Do you think that there is a future for things like methane, hydrogen, those ideas have kind of come and gone? And I think a lot of it, like you said, is the infrastructure part?   Marc Di Pietra  4:21  You know, it's a great question, because I don't have all the answers. But I do know that different companies are trying things to capture, especially in farming, so where you have dairy farms that can collect the methane, you've got the fermentation process, which allows you to capture different chemicals across the way. So I think there is a place for it depending on where you're at. And then again, it goes back to how you can capture and store that safely.   Craig Macmillan  4:45  So let's go back to electric and hybrid. You mentioned a whole range of different vehicles that could run on electric and hybrid. Can you tell me a little bit about is it a hybrid tractors or strictly electric tractors? These are the things that need more house horsepower, and they're a little bit big You're What's that landscape looking like right now? That's very exciting for a lot of us.   Marc Di Pietra  5:04  Yeah. And it's a great question because again, that's those are all the things that we're asking ourselves. The reason we're so spread out is because we're in the early adoption phase, and Treasury has allowed us to be that. So we're trying different pieces of the puzzle to see what works best for us. The reason we've tried a fully electric tractor is because there are currently two or three options out there that we feel really comfortable with demoing in our fields, it's not going to take the place of what we're currently doing. But it allows us to step into our farming practices and see if it is truly a viable option. Hybrid is a little bit more of that in between step, it's, you know, it's one step towards that end goal of zero emissions, because it is more efficient. You know, you get the benefits of that. But also, it doesn't completely Have you dependent on the grid, the electric grid or infrastructure of what's happening around you. You talked about going into larger formats, and there is a concern about battery life there. And that we know that that technology is changing rapidly. So we are starting with a couple see how it evolves, and then we can make an informed decision based on that.   Craig Macmillan  6:06  Stay with tractors are these vehicles that are coming to you from manufacturers ready to go? Are you making modifications yourself? Are you taking with a base unit making modifications to something that's already existing? What kind of involvement does it take on your part to work with this technology at this point?   Marc Di Pietra  6:21  Depending on the program that we're using, so let's say on our for example, that comes to us more or less ready to use. So they have tools that will connect to your standard three point. So there's not much modification or or there but another company, Agtonomy that we're working with, we're on the ground level with them while they're still developing. So it gives us an opportunity to give our feedback of what we're looking for. So we're seeing a lot of rapid change quickly that will help support our needs.   Craig Macmillan  6:46  Will that tractor still be based on a three point hitch?   Marc Di Pietra  6:49  It will have a front mounted tool bar on the front? And we're talking to them about getting front and rear mounted tools?   Craig Macmillan  6:56  What kind of horsepower? Are we talking here? Are we are we comparable to a regular track layer? Are we talking to a regular four wheel drive depends on the size, but are we in the same range?   Marc Di Pietra  7:06  That's the goal, you know, obviously Electric is more efficient than your standard diesel motor. So when you get a diesel motor that says they're pushing 100 horsepower, we believe that the electric range tractor that's stating a range between 45 to 85 horsepower is comparable to that 95 to 100 horsepower tractor. Now again, there's still a lot of work going on to validate that, but we have seen improved efficiencies and we think that will be if not, they're close to it.   Craig Macmillan  7:34  And getting really technical. What is the power supply? Like for these? Are you having to bring in extra electrical service above what you already have? Because a lot of shops don't have a 480? For instance, amperage? What kind of amperage do you need? It sounds like a totally new kind of thing.   Marc Di Pietra  7:50  Yeah, so for the two that I've mentioned, for us, we are using both 60 amp circuit with a 48 amp charger capability, as well as some 100 amp circuits that will support an 80 amp charger. So we're not using anything that is above and beyond like we would see with a Tesla quick charger. And in both of those cases, though, with the 40 and 80 amp chargers, we're still looking at a charge time of overnight, four to six hours.   Craig Macmillan  8:15  So that's very practical. Really. That could work.   Marc Di Pietra  8:17  Yeah. And because Treasury has several ranches, we are looking at it holistically, excuse me, we're implementing different charging systems on different sites as well to understand the draw on the need of those to see how efficient they are affected they are on our site.   Craig Macmillan  8:32  Is there any real change for the tractor operators? Are there new things they need to learn how to do or is it kind of based on what they've been doing is,   Marc Di Pietra  8:39  There is a big change for the operator because they need to understand that it's not sit in the seat, turn on the key and hit the gas pedal. It's understanding what the screen is telling you when you turn on the tractor, where you're at power wise. So there's some nuances, but ultimately, it still runs and drives like a tractor that you're familiar with. It's just like learning a new a new cellphone, for example, Android versus iPhone.   Craig Macmillan  9:02  Yeah, I just got a new phone and I'm struggling. I have to admit. You also had mentioned passive data collection, which I'm very interested in. I've been tracking this concept for quite a few years now. What kinds of data are you interested in collecting? And how's it been going so far?   Marc Di Pietra  9:15   We have been talking to several different companies that offer passive data. But our goal is to try to implement it on the platforms we're currently working with. I referenced the Agtonomy a lot, because again, our input is going into their development quite a bit. They're looking to add sensors to their machines to gather that data that we're looking for. I would say we're still in the very, very beginning stages of that. Some of the benefits of using this passive data is the machine will have more than two sets of eyes on like our current tractor and operator with that we can gather information around density, disease cluster counts, as well as monitoring the sensors that are out in the field such as irrigation or moisture. And just about anything else you can think of that a sensor can gather for you.   Craig Macmillan  10:00  And you're in early trials with it sounds like you actually started collecting data. I was a little confused.   Marc Di Pietra  10:07  Oh, excuse me. No, we haven't there are companies out there that we spoken with. But again, we're trying to rely on our partnerships and use their platform. Again, we're trying to do a lot of things on one machine to see what's valuable to us long term. Yeah.   Craig Macmillan  10:21  And you had mentioned remotely operated vehicles. Is that correct? Yes, sir. Tell me about that. I just think that is so cool. Autonomous machines.   Marc Di Pietra  10:29  Thinking about remote operated, there's several factors involved. First and foremost, it's important to me and our team is the safety of our operators. Currently, we've got spray teams that are working, you know, in the middle of the night, they're working back and forth, up and down each row. So what this allows the operator to do is get back outside of the tractor, manage, ideally, multiple machines from one computer. So obviously, efficiency gains, but you're getting that operator out of harm's way out of the way of the equipment as well as out of any chemicals you might be spraying along the way.   Craig Macmillan  10:58  Are there elements of this that are controlled by computer or artificial intelligence, what I'm thinking of is there's been some work by John Deere, in particular, with GPS guided tractors in the Midwest, where you set a path and it will go wherever you tell it to go little trickier when you have a row on either side, especially if it's a seven foot row or something like that. How hard is it for an operator to control this thing?   Marc Di Pietra  11:23  Actually, from my experience, so far, controlling it with through a laptop computer, controlling not one machine, but multiple machines seems to be quite easy, because there are so many sensors on the platform that will allow it to tell you not only where it needs to go to go from, say, your barn or your shed to where it's starting a job for the day. But while it's going through the row, it's looking for any obstructions that might be in the way whether that's a tumbleweed. Coyote, a person, you know, all of those things for safety, but it also gathers all of that data. And it also knows where all the other machines are as well. And the operator is sitting behind a laptop, making sure that each path because they can see multiple machines on one screen, you know, through data points on a map, it can say, hey, that machine is going well. It's has 25% solution left, and it's tank. So we need to stop at at this point. And all the machines are talking to each other. So there's awareness about what's happening around it as well.   Craig Macmillan  12:17  That's amazing. That's amazing. How far down the path are you with this?   Marc Di Pietra  12:20  Well, I mean, there's two commercial products available now that we will have in our vineyards. Currently, we have the GUSS spray system. They've started in nuts in the Central Valley. But now they've they have actively sprayed over 1 million acres. And we have the first two vineyard sprayers in California that we will have started spraying with I guess in the next, like two weeks or so.   Craig Macmillan  12:41  Yeah, exactly. Yeah, here we are. It's time Yeah, exactly.   Marc Di Pietra  12:45  It came fast. Yeah.   Craig Macmillan  12:47  From a cultural standpoint or a management standpoint, I just am curious. What kind of terrain are we talking about? Are we talking about really steep slopes, we talked about flatter ground, we talked about narrow rows. Treasury has properties all over the place, I'm sure there's a variety of topography that you're having to work with.   Marc Di Pietra  13:01  Yeah, out of the gate, we're starting at a ranch that is relatively flat, it's got long half mile rows. So it'll be nice and efficient for the machine to go up and down back and forth all day long. But the goal is ultimately to take it into the foothills where we're talking up to 10 to 15 degrees of incline that we should not see any problems. And that's with, you know, the equipment that we know we have worked Agtonomy for example, I've seen their machine, go up a degree a slope of about 25 to 30 degrees, no problem.   Craig Macmillan  13:25  We're talking about the machinery. Now let's talk about what the machines are doing. So we've talked about spraying, which is absolutely amazing. Are we using this for under vine cultivation? Are we using this for mowing or using this for tilling what kinds of things you're able to do with these machines?   Marc Di Pietra  13:40  One of the biggest benefits is the underlying cultivation piece, which will allow us to reduce the chemicals that we use in spraying specifically around our herbicide use. We've seen the ability with this autonomous equipment or remotely operated equipment to use undermine tillers and we could do multiple passes with that volt we'd knives, sunflower cultivators, things like that. We can also do a mount where we have a mower on the front and cultivator on the back, that's been a huge benefit and time savings for us as well.   Craig Macmillan  14:08  What are you seeing at this point? Or what are you thinking about? And I know that a lot of things you haven't really kind of gotten into yet, but I know you're looking forward in thinking about this, what is this going to look like from a maintenance standpoint, and also from an employee training, regardless of the position because we're going from a period of having a diesel mechanic, someone who understands how hydraulics work basic things around having vendors who can come out and replace a tire and all that kind of stuff. It sounds like there's going to be some very, very different kinds of maintenance and repair issues here. And we already mentioned drivers, it sounds like there's going to be some very different set of skills that folks are going to have to have to make these systems work. What's that wood in your imagination? What that's looking like right now?   Marc Di Pietra  14:44  Yeah, I think one of the greatest things is the opportunity to upskill our existing workforce. I mean, honestly, it's been really great to see the initial hesitation from our guys when they see this stuff rolled out on the ranch, but then ultimately, once they get their hands on it, how quickly they've adapted to it. And that's been the great Interesting to see because you know, it's getting harder and harder to get employees for the vineyard, it's they're just not available to us, which I'm sure everybody's experienced. So this has really been a great opportunity to see these guys get excited about something new, and upskill them. From a maintenance standpoint, believe it or not, it's actually been much easier than we've anticipated. There's much less regular preventative maintenance needed. So we're not doing oil changes every 500 hours, because electric components require less, they're all sealed. So there's no going into there and changing fluids and things like that. Also, the software on these systems are also capable identifying similar like your car with like a check engine light comes on the system identifies those issues and points us to to those repairs much faster. Now that said, as we evolve, I do see the need to have someone on the team who has a solid understanding of the computer systems and how to address these types of issues outside of our current model, but we also know like we've seen with the car manufacturers, they're training folks up for that. And we're, I've already reached out to a couple of the local, I wouldn't say local, but the the training like UTIs and the wild Tech's of the world to see what type of implementation they haven't talked with them about their job boards. So any young folks coming out of those programs might be looking for something interesting.   Craig Macmillan  16:14  You guys are doing so much stuff. This is amazing. You got a lot going on. Marc, is there any one thing though, that you're really excited about that you're really, really optimistic about at this point?   Marc Di Pietra  16:24  I would say from a process standpoint, like I said, it's really about the operator safety, you know, getting these guys out from behind the tractor in the middle of the night, the efficiency that it brings the reduction of chemicals, like that's all the process stuff that I'm excited about. You know, there are several cool companies out there that we're working with, you know, these guys have great ideas and great minds. And we're all thinking forward. I think that's been one thing that I've really enjoyed is seeing people not worrying about just today. But looking forward.   Craig Macmillan  16:52  And when you look into that crystal ball, what kinds of things do you see coming down the line, not things that you're able to trial now, but things that have potential on the future? There's a lot of work being done, like the precision vineyard project with Cornell and Carnegie Mellon and folks like that, what do you see out there on the horizon? It's, you know, a year ago with science fiction, hint now is starting to look like it could actually happen.   Marc Di Pietra  17:10  Yeah, I think as the autonomous piece gets smarter and better, that's going to be a huge game. And again, I go back to one operator being able to control multiple machines. So that creates efficiency. Again, it goes back to operator safety. For me, it reduces those long days, it reduces middle of the night work for those long hours, and the monotony and the safety of that individual operator, I also really liked the idea of passive data stuff that we've not been able to easily get before and then be able to make smart decisions in the field. If you've got a spot that is say disease prone or not producing as strong as other areas in the vineyard, we'll be able to capture that data and make smart decisions go forward to improve that.   Craig Macmillan  17:48  Measure, to manage, right, get to get the data to make good decisions.   Marc Di Pietra  17:52  And I think that's going to be the biggest opportunity is how do we manage all of that data? That's what I'm really curious about. And that's, that's one thing that I would really like to figure out how to unlock in the future, because we can talk about it. But there's nothing there that can manage multiple systems, multiple points of input. And then whether that's a comparison of like for like mechanical versus the, you know, the future, or whatever that might be, there's so much that we just don't know how to do yet.   Craig Macmillan  18:18  This is a huge area. But is there one thing that you would advise growers are one thing that you would say to growers around automation, hybrid electric, passive data collection, the future basically the future of this kind of mechanization in this kind of electronic world that we're moving into? Is there one piece of advice or one thing you'd one message you'd like growers to know?   Marc Di Pietra  18:37  I think everybody needs to be curious. It's all something that we need to be thinking about, talking about and to help ourselves in the industry and our planet. I mean, there's a quote that I always think of when I talk about this stuff as a rising tide lifts all boats, you know, everybody wants to keep their secret to keep their grapes or their strawberries the best, I understand that. But this technology, the way it's going, you know, labor and employee safety, it's a huge concern for everybody. And I think the more we're talking, the more we're asking questions. And you know, you brought up John Deere. I mean, they're looking into it. Now New Holland is looking into it now. And this is all things started by small people having these ideas, and it's all rolled into bigger things. I encourage everybody, just be curious and talk about it.   Craig Macmillan  19:17  This is great advice. And I think that that's important for our industry. And one of the things I've found over time grape growers are curious and grape growers are willing to experiment within limits and try different things. And I hope that no matter who you are out there, that you will heed Marc's advice and be creative and be optimistic and be open minded. Where can people find out more about you and the things that you're doing?   Marc Di Pietra  19:40  I mean, feel free to reach out to me, obviously, through LinkedIn, feel free to, you know, share my email, if that's an option. Again, I'd like to talk to anybody who's doing something or ask questions.   Craig Macmillan  19:49  Absolutely. And we have a page for each podcast where we will post any kind of resources including contact information, links, papers, anything and so Be sure if you find this interesting to check out the venue team podcast website and take advantage of all the information that's there. Well, Marc, that's all the time we've got for today. Our guest today has been Marc Di Pietra. He is regional service maintenance manager for treasuries America of treasury wine estates. I want to thank so much for being here. This has been a really fascinating conversation. For those of you who are new to downloading the podcast please, again, go to the vineyard team podcast website. We've got hundreds of episodes now on all kinds of different topics.   Transcribed by https://otter.ai

The answers you need to optimize member service – and keep your credit union on sound financial footing – are already available. It's just that they are hidden in your data. That's where Mitch Rutledge, CEO and co-founder of Vertice AI, comes in because his company are data scientists who specialize in finding useful information in the vast data stores just about all credit unions have. Quiz time: what's a vertice?  Don't sweat it. Geometry wasn't a strong suit of mine.  Yes, vertice is a term in geometry and what it is a place where two or more curves, lines, etc. meet. What Rutledge wants to do with a credit union's data is sift it in search of places where presently unmet member needs align with credit union offerings – it's just that they have never connected. Vertice AI wants to help with that connecting. Sure, we know, you're hearing lots about AI and in past years you heard a lot about big data – but this show is different, it's practical, hands on, definitely no need for a Carnegie Mellon or MIT degree. Vertice AI, by the way, already has credit union customers – including one very big and very high prestige institution. Listen up to find out what credit union already is seeing real value from Vertice AI's work.Like what you are hearing? Find out how you can help sponsor this podcast here. Very affordable sponsorship packages are available. Email rjmcgarvey@gmail.com And like this podcast on whatever service you use to stream it. That matters. Find out more about CU2.0 and the digital transformation of credit unions here. It's a journey every credit union needs to take. Pronto

In this episode Lisa and Elliot discuss:The importance of trying new things before college.Changing the mindset from where to go to college to how to go to college. How to encourage your high schooler to know themselves. Instilling resiliency in your children of any age. Key Takeaways: Think about your college experience as something you design to fit your personality and dreams. Design your college experience to what you love, don't just drift through aimlessly. Do a bunch of stuff! Curate experiences, both good and bad, to figure out what you do like, what you don't like, and everything in between. Nothing you try is a waste of time - every failure tells you just as much about yourself as successes do.With a bit of research before a college tour, you can tailor your experience to what you want out of college, not just the general information given to all students.  “Before you get to college, you want to test lots of things out, whether it's an instrument, a club, a sport, an internship, or something career-related. See what's resonating. You're trying to help students find their people, find their place, find their path, and that doesn't happen by accident.” – Elliot FelixAbout Elliot Felix: Elliot Felix is an author, speaker, teacher, father, and consultant to more than a hundred colleges and universities. He uses his background in design to make college work for all students by improving the spaces they learn and live in, the support services they rely on, and the technology they use. Over the last 20 years, he has spoken at SXSW Edu, taught courses on innovation, and worked with top universities like Carnegie Mellon, MIT, NYU, NC State, and the University of Virginia. Brightspot Strategy, the education consulting company he founded in 2011 was acquired by Buro Happold in 2020 and has improved the experience of more than 1,000,000 students. You can find his work in Fast Company, Forbes, and The Chronicle of Higher Education. His book How to Get the Most Out of College was published in January 2022 by Alinea Learning. He lives in Minneapolis with his son Theo, daughter Nora, and wife Liz.Episode References:Book Giveaway! https://kingsumo.com/g/cxjdoe/college-career-clarity-how-to-get-the-most-out-of-college-book-contest College and Career Clarity Episode #034 Overcoming College Major Confusion - https://www.flourishcoachingco.com/podcast/034-overcoming-college-major-confusion/ Take Lisa's free quiz “Is your teen ready for coaching?” here! https://quiz.tryinteract.com/#/608984a7a898980017089b21/q/1Connect with Elliot:Twitter: https://twitter.com/elliotfelix Instagram: https://www.instagram.com/elliotfelix/ LinkedIn: https://www.linkedin.com/in/elliotfelix/ Website: https://www.elliotfelix.com/ How to Get the Most Out of College Book: https://www.elliotfelix.com/book How to Get the Most Out of College Podcast: https://www.elliotfelix.com/podcast Email: hello@elliotfelix.com Connect with Lisa: Website: https://www.flourishcoachingco.com/ YouTube: https://www.youtube.com/@flourishcoachingco Instagram: https://www.instagram.com/flourishcoachingco/ Facebook: https://www.facebook.com/flourishcoachingco LinkedIn: https://www.linkedin.com/in/lisa-marker-robbins/

Sankalp Arora and Joe Lynch discuss gathering inventory data, a function that is being transformed by Sankalp's company Gather AI. Sankalp is CEO and Co-founder at Gather AI, a warehouse automation company that has created the world's first drone-powered inventory monitoring solution. About Sankalp Arora Sankalp Arora is an accomplished entrepreneur and roboticist, currently serving as the CEO and Co-founder of Gather AI, a cutting-edge warehouse automation company. Gather AI has created the world's first drone-powered inventory monitoring solution, which promises to revolutionize the way warehouses manage their inventory. Sankalp has a wealth of experience in the field of robotics, having spent 14 years working on various projects related to autonomous vehicles and robotics. He played a key role in developing safety and sensor planning for the world's first safe autonomous helicopter, a project that earned several prestigious awards including the Howard Hughes award, AUVSI Xcellence award, and a nomination for the Collier Trophy. Sankalp's innovative work has also earned him recognition in the form of the Qualcomm Innovation fellowship and Swartz Innovation fellowship. He holds a PhD in Robotics from Carnegie Mellon University, where he conducted extensive research on robotic perception and control. With his vast experience and expertise in robotics and automation, Sankalp is leading Gather AI towards a brighter future, where the power of drone technology can be harnessed to optimize warehouse operations and transform the logistics industry as we know it.  About Gather AI Gather AI is a pioneering warehouse automation company that was founded in 2018 and is headquartered in Pittsburgh, Pennsylvania. The company has quickly established itself as a leader in the field of drone-powered inventory monitoring, providing warehouse operators with an innovative solution to optimize their profitability. Led by a team of experienced roboticists and entrepreneurs, including founders Sankalp Arora, Daniel Maturana, and Geetesh Dubey, Gather AI has developed a unique product that is already being used by warehouses across a range of industries, including third-party logistics, retail distribution, manufacturing, and food & beverage. With its cutting-edge technology and forward-thinking approach, Gather AI is poised to revolutionize the logistics industry and transform the way warehouses operate in the years to come. Key Takeaways: Gathering Inventory Data Sankalp Arora is CEO and Co-founder at Gather AI, a warehouse automation company that has created the world's first drone-powered inventory monitoring solution. Gather AI uses off-the-shelf autonomous drones to gather data in warehouses, such as the number of items on a shelf and the locations of particular pallets. Gather AI was co-founded in 2019 by Sankalp Arora, Daniel Maturana and Geetesh Dubey, who were graduate students at Carnegie Mellon's Robotics Institute. Gather AI's core product is an inventory monitoring system that uses off-the-shelf autonomous drones. Gather AI's approach is more fungible and less costly than that of its rivals because it relies on consumer drones instead of custom-built ones. Consumer-grade drones are more attainable and scalable than their commercial counterparts, and still able to perform tasks like detecting damaged inventory and counting pallet cases. A core innovation of Gather AI is that it can achieve sophisticated state estimation on commodity hardware and can fly autonomously without GPS on drones that can be bought at consumer stores. With Gather AI you can drive efficiency with autonomous warehouse drones. What used to take employees 2 hours can now be done in an automated 8 minutes. A common knock-on autonomous inventory solutions is that not all warehouses are robot-friendly, and that if barcodes aren't displayed perfectly, then the system suffers. Gather AI can read your existing labels over 95% of the time. Learn About Gathering Inventory Data Sankalp on LinkedIn Gather AI on LinkedIn Gather AI on Twitter Gather AI website The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

This week on BEFORE THE BREAK, the boys sit down with actor, Jesmille Darbouze. She's appeared on such shows as Jessica Jones and The Mysteries of Laura. Her Broadway credits include the revival of Kiss Me Kate and Betrayal. She can currently be seen in the new Broadway production of A Doll's House, opposite Jessica Chastain. The road that led to attending Carnegie Mellon and the relationships made, having years of survival jobs, her first Broadway show (being an offer!?), the blessings of being a mother and much more! Follow Before The Break - on Instagram at @beforethebreakpodon Twitter at @b4thebreakpodhttps://beforethebreak.buzzsprout.com/Follow Jesmille -on Instagram at @jesmilledFollow Tom -on Instagram at @imtombythewayhttps://www.tommybeardmore.com/Follow Adam -on Instagram at @thatadamdecarlohttp://adamdecarlo.com/Don't forget to subscribe, leave a review, and give us a rating!XR MOTIONExperience the Future of Digital Art with XR Motion! 3D, VR, AR, AI, NFT, Motion GraphicsListen on: Apple Podcasts SpotifySupport the show

Located in Pittsburgh, PA, Carnegie Mellon is a medium size institution home to about 7300 undergraduate students. In 2022, CMU accepted about 11 % of the applicant pool.  The best way to learn about Carnegie Mellon is to tell the TALES of its founders: Born in 1835 in Scotland, Andrew Carnegie immigrated to the US in 1848. According to Wikipedia - by the 1860s Carnegie had investments in railroads, railroad sleeping cars, bridges and oil derricks. He built Carnegie Steel Company which he later sold to JP Morgan in 1901 for 480 million dollars. With this sale, Andrew Carnegie surpassed Rockefeller as the richest man in America. He spent the remainder of his life as a philanthropist – and built  Carnegie Hall, Carnegie Institution for Science, Carnegie Museums of Pittsburgh, and of course, Carnegie Mellon University, first formed as Carnegie Institute of Technology.  Richard B. Mellon assumed the presidency of Mellon bank, after his brother, Andrew Mellon was appointed Treasury Secretary. Richard's prior experience included President of Pittsburgh Reduction Company and he was invested in the city's Coal Company. Richard and his brother Andrew made several large donations to their alma mater, University of Pittsburgh, including a large sum to create the Mellon Institute of Industrial Research, founded in 1913. In 1967 the Carnegie Institute of Technology and Mellon Institute of Industrial Research merged to form Carnegie Mellon University.   Given the backgrounds of the two men, it is no wonder that the College of Engineering is consistently ranked in the top 10 in the US and US News and World Report has the Tepper School of Business ranked as #6 this year. If you are looking for top engineering and/or business programs, CMU offers a quality education and a rich city in which to take what you learn in the classroom and apply it in a work experience.  There are TWO more cool things about CMU: First, the campus is covered in red circles that line the sidewalk at CMU. Like golden stars on Hollywood Blvd, Carnegie Mellon proudly boasts : 114 Emmy Award Winners, 43 Tony Award laureates, 9 Academy Award Winners Please NOTE: You MUST audition for the School of Drama and School of Music – your admission to the college 80% audition and 20% academic.  Second, they have an annual spring carnival. Students build incredibly colorful, innovative, and imaginative booths and super fun competitions that only the creative minds CMU students could create.  The best part of this tradition is that school shuts down for three full days so everyone can enjoy the fun.  This tells me that the college understands that college is not just about academics, but rather it is also about fun and memory making. When a college recognizes that students are rejuvenated by innovation, creation, imagination, and relaxation – they are better equipped to push through the home stretch of the school year. Click to Watch Video⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠Click to Read Blog⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠FREE: Download 10 Sample Essays⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠FREE: Watch Mini College Essay Training⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠Book a Call with Dr. C⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠Visit the website

It's a busy week for Mike Florio.The Wheeling native will not only generate hours of content for ProFoootballTalk.com on the NFL draft, he'll also release his latest novel Father Of Mine.Talking about sports for a living and authoring a non-sports novel may seem peculiar, but it makes great sense if you know Mike Florio.The former attorney with an engineering degree from Carnegie Mellon has always approached things differently. Florio created his own media company long before it became the (cool) thing to do.In this episode, the “Guys” talk about football, crime, food and much more.Join Brad, Hoppy and Tony later this week for their recap on WVU spring football.

Humanity is taking its hands off the wheel ARTIFICIAL INTELLIGENCE IS THE PRODUCT OF HUMANITIES SOUL DYING I KNOW A BIT BLEAK. Yes, but you need to understand something fundamental that is being driven right out of us thanks to not the internet but our most common shitty lizard monkey brains and that is comfort. In this episode, we'll be delving into a topic that's been the subject of much debate in recent years: how artificial intelligence is changing the course of humanity. Specifically, we'll be examining the idea that as AI becomes more advanced, humanity is losing its soul. Now I don't doubt the halls of MIT or Carnegie Mellon are abound in some type of screaming match about the ethic behind AI and all the ensuing technology. Maybe not. I know Google has had a divide happen in regards to Bard, their AI that seem to be made to be an assistant to humanity, even if they have reservations about rolling out. First, let's understand what Artificial Intelligence IS: it s a series of programs and algorithms made to make deifications or to solve tasks. That was initially it. We are already using this rudimentary form every time we google or use maps or whatever. In this segment, we'll explore the rapid rise of artificial intelligence and its impact on society. We'll discuss how AI is being used in various industries, from healthcare to finance to transportation. We'll also touch on the ethical implications of AI, such as the potential for job displacement and the risk of bias in decision-making algorithms. Hidden in the brain is the fact that we know AI will be as good or as bad as we make it, and so if it comes to bite us in the ass it's only of ourselves. That reality it's knowing we are bad parents. Do we make good people? Mediocre people maybe are we really making good people? Can we make good Artificial Intelligence then? I mean it's a fucking tool in the end. It seems everyone wants to create a God or a parent or something that'll save us or enslave or destroy us which makes me wonder what fucking gene is in us that person roles us to such things. It is like we are hard-wired versus any type of peace of mind. Now don't get it twisted, I'm all for progress. But it is a classic SHOULD WE/ COULD WE Sort of thing I'm a big believer in the societal pendulum that is seining especially in recent years and since 9/11. I've seen it firsthand happen on a radical ways and subtle ways and have no doubt it'll keep happening. I think we can get to a place where the middle will be there, that the price for progress will be understood and people can find a place. We just have to be vigilant and there always needs to be those who are open enough, wise enough, loving enough to bring humanity to that. The pathfinders the peace keeper the wonderful who won't be held down by the mediocrity that is life. So if you can be just that and if not? Get the Fuck out of he way. Join my Patreon to get exclusive access to behind-the-scenes looks, early access to new comics, exclusive downloads, and podcast episodes that you won't find anywhere else. By joining, you'll support an independent artist and help keep the world of comics and podcasts thriving. Join today and become part of an exclusive community of fans who love getting an inside look at the creative process! Listen anywhere you listen to podcast! Find all my stuff here: Www.fwacata.com Hit the

Jean Yang, CEO of Akita Software, joins Corey on Screaming in the Cloud to discuss how she went from academia to tech founder, and what her company is doing to improve monitoring and observability. Jean explains why Akita is different from other observability & monitoring solutions, and how it bridges the gap from what people know they should be doing and what they actually do in practice. Corey and Jean explore why the monitoring and observability space has been so broken, and why it's important for people to see monitoring as a chore and not a hobby. Jean also reveals how she took a leap from being an academic professor to founding a tech start-up. About JeanJean Yang is the founder and CEO of Akita Software, providing the fastest time-to-value for API monitoring. Jean was previously a tenure-track professor in Computer Science at Carnegie Mellon University.Links Referenced: Akita Software: https://www.akitasoftware.com/ Aki the dog chatbot: https://www.akitasoftware.com/blog-posts/we-built-an-exceedingly-polite-ai-dog-that-answers-questions-about-your-apis Twitter: https://twitter.com/jeanqasaur TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. My guest today is someone whose company has… well, let's just say that it has piqued my interest. Jean Yang is the CEO of Akita Software and not only is it named after a breed of dog, which frankly, Amazon service namers could take a lot of lessons from, but it also tends to approach observability slash monitoring from a perspective of solving the problem rather than preaching a new orthodoxy. Jean, thank you for joining me.Jean: Thank you for having me. Very excited.Corey: In the world that we tend to operate in, there are so many different observability tools, and as best I can determine observability is hipster monitoring. Well, if we call it monitoring, we can't charge you quite as much money for it. And whenever you go into any environment of significant scale, we pretty quickly discover that, “What monitoring tool are you using?” The answer is, “Here are the 15 that we use.” Then you talk to other monitoring and observability companies and ask them which ones of those they've replace, and the answer becomes, “We're number 16.” Which is less compelling of a pitch than you might expect. What does Akita do? Where do you folks start and stop?Jean: We want to be—at Akita—your first stop for monitoring and we want to be all of the monitoring, you need up to a certain level. And here's the motivation. So, we've talked with hundreds, if not thousands, of software teams over the last few years and what we found is there is such a gap between best practice, what people think everybody else is doing, what people are talking about at conferences, and what's actually happening in software teams. And so, what software teams have told me over and over again, is, hey, we either don't actually use very many tools at all, or we use 15 tools in name, but it's you know, one [laugh] one person on the team set this one up, it's monitoring one of our endpoints, we don't even know which one sometimes. Who knows what the thresholds are really supposed to be. We got too many alerts one day, we turned it off.But there's very much a gap between what people are saying they're supposed to do, what people in their heads say they're going to do next quarter or the quarter after that and what's really happening in practice. And what we saw was teams are falling more and more into monitoring debt. And so effectively, their customers are becoming their monitoring and it's getting harder to catch up. And so, what Akita does is we're the fastest, easiest way for teams to quickly see what endpoints you have in your system—so that's API endpoints—what's slow and what's throwing errors. And you might wonder, okay, wait, wait, wait, Jean. Monitoring is usually about, like, logs, metrics, and traces. I'm not used to hearing about API—like, what do APIs have to do with any of it?And my view is, look, we want the most simple form of what might be wrong with your system, we want a developer to be able to get started without having to change any code, make any annotations, drop in any libraries. APIs are something you can watch from the outside of a system. And when it comes to which alerts actually matter, where do you want errors to be alerts, where do you want thresholds to really matter, my view is, look, the places where your system interfaces with another system are probably where you want to start if you've really gotten nothing. And so, Akita view is, we're going to start from the outside in on this monitoring. We're turning a lot of the views on monitoring and observability on its head and we just want to be the tool that you reach for if you've got nothing, it's middle of the night, you have alerts on some endpoint, and you don't want to spend a few hours or weeks setting up some other tool. And we also want to be able to grow with you up until you need that power tool that many of the existing solutions out there are today.Corey: It feels like monitoring is very often one of those reactive things. I come from the infrastructure world, so you start off with, “What do you use for monitoring?” “Oh, we wait till the help desk calls us and users are reporting a problem.” Okay, that gets you somewhere. And then it becomes oh, well, what was wrong that time? The drive filled up. Okay, so we're going to build checks in that tell us when the drives are filling up.And you wind up trying to enumerate all of the different badness. And as a result, if you leave that to its logical conclusion, one of the stories that I heard out of MySpace once upon a time—which dates me somewhat—is that you would have a shift, so there were three shifts working around the clock, and each one would open about 5000 tickets, give or take, for the monitoring alerts that wound up firing off throughout their infrastructure. At that point, it's almost, why bother? Because no one is going to be around to triage these things; no one is going to see any of the signal buried and all of that noise. When you talk about doing this for an API perspective, are you running synthetics against those APIs? Are you shimming them in order to see what's passing through them? What's the implementation side look like?Jean: Yeah, that's a great question. So, we're using a technology called BPF, Berkeley Packet Filter. The more trendy, buzzy term is EBPF—Corey: The EBPF. Oh yes.Jean: Yeah, Extended Berkeley Packet Filter. But here's the secret, we only use the BPF part. It's actually a little easier for users to install. The E part is, you know, fancy and often finicky. But um—Corey: SEBPF then: Shortened Extended BPF. Why not?Jean: [laugh]. Yeah. And what BPF allows us to do is passively watch traffic from the outside of a system. So, think of it as you're sending API calls across the network. We're just watching that network. We're not in the path of that traffic. So, we're not intercepting the traffic in any way, we're not creating any additional overhead for the traffic, we're not slowing it down in any way. We're just sitting on the side, we're watching all of it, and then we're taking that and shipping an obfuscated version off to our cloud, and then we're giving you analytics on that.Corey: One of the things that strikes me as being… I guess, a common trope is there are a bunch of observability solutions out there that offer this sort of insight into what's going on within an environment, but it's, “Step one: instrument with some SDK or some agent across everything. Do an entire deploy across your fleet.” Which yeah, people are not generally going to be in a hurry to sign up for. And further, you also said a minute ago that the idea being that someone could start using this in the middle of the night in the middle of an outage, which tells me that it's not, “Step one: get the infrastructure sparkling. Step two: do a global deploy to everything.” How do you go about doing that? What is the level of embeddedness into the environment?Jean: Yeah, that's a great question. So, the reason we chose BPF is I wanted a completely black-box solution. So, no SDKs, no code annotations. I wanted people to be able to change a config file and have our solution apply to anything that's on the system. So, you could add routes, you could do all kinds of things. I wanted there to be no additional work on the part of the developer when that happened.And so, we're not the only solution that uses BPF or EBPF. There's many other solutions that say, “Hey, just drop us in. We'll let you do anything you want.” The big difference is what happens with the traffic once it gets processed. So, what EBPF or BPF gives you is it watches everything about your system. And so, you can imagine that's a lot of different events. That's a lot of things.If you're trying to fix an incident in the middle of the night and someone just dumps on you 1000 pages of logs, like, what are you going to do with that? And so, our view is, the more interesting and important and valuable thing to do here is not make it so that you just have the ability to watch everything about your system but to make it so that developers don't have to sift through thousands of events just to figure out what went wrong. So, we've spent years building algorithms to automatically analyze these API events to figure out, first of all, what are your endpoints? Because it's one thing to turn on something like Wireshark and just say, okay, here are the thousand API calls, I saw—ten thousand—but it's another thing to say, “Hey, 500 of those were actually the same endpoint and 300 of those had errors.” That's quite a hard problem.And before us, it turns out that there was no other solution that even did that to the level of being able to compile together, “Here are all the slow calls to an endpoint,” or, “Here are all of the erroneous calls to an endpoint.” That was blood, sweat, and tears of developers in the night before. And so, that's the first major thing we do. And then metrics on top of that. So, today we have what's slow, what's throwing errors. People have asked us for other things like show me what happened after I deployed. Show me what's going on this week versus last week. But now that we have this data set, you can imagine there's all kinds of questions we can now start answering much more quickly on top of it.Corey: One thing that strikes me about your site is that when I go to akitasoftware.com, you've got a shout-out section at the top. And because I've been doing this long enough where I find that, yeah, you work at a company; you're going to say all kinds of wonderful, amazing aspirational things about it, and basically because I have deep-seated personality disorders, I will make fun of those things as my default reflexive reaction. But something that AWS, for example, does very well is when they announce something ridiculous on stage at re:Invent, I make fun of it, as is normal, but then they have a customer come up and say, “And here's the expensive, painful problem that they solved for us.”And that's where I shut up and start listening. Because it's a very different story to get someone else, who is presumably not being paid, to get on stage and say, “Yeah, this solved a sophisticated, painful problem.” Your shout-outs page has not just a laundry list of people saying great things about it, but there are former folks who have been on the show here, people I know and trust: Scott Johnson over at Docker, Gergely Orosz over at The Pragmatic Engineer, and other folks who have been luminaries in the space for a while. These are not the sort of people that are going to say, “Oh, sure. Why not? Oh, you're going to send me a $50 gift card in a Twitter DM? Sure I'll say nice things,” like it's one of those respond to a viral tweet spamming something nonsense. These are people who have gravitas. It's clear that there's something you're building that is resonating.Jean: Yeah. And for that, they found us. Everyone that I've tried to bribe to say good things about us actually [laugh] refused.Corey: Oh, yeah. As it turns out that it's one of those things where people are more expensive than you might think. It's like, “What, you want me to sell my credibility down the road?” Doesn't work super well. But there's something like the unsolicited testimonials that come out of, this is amazing, once people start kicking the tires on it.You're currently in open beta. So, I guess my big question for you is, whenever you see a product that says, “Oh, yeah, we solve everything cloud, on-prem, on physical instances, on virtual machines, on Docker, on serverless, everything across the board. It's awesome.” I have some skepticism on that. What is your ideal application architecture that Akita works best on? And what sort of things are you a complete nonstarter for?Jean: Yeah, I'll start with a couple of things we work well on. So, container platforms. We work relatively well. So, that's your Fargate, that's your Azure Web Apps. But that, you know, things running, we call them container platforms. Kubernetes is also something that a lot of our users have picked us up and had success with us on. I will say our Kubernetes deploy is not as smooth as we would like. We say, you know, you can install us—Corey: Well, that is Kubernetes, yes.Jean: [laugh]. Yeah.Corey: Nothing in Kubernetes is as smooth as we would like.Jean: Yeah, so we're actually rolling out Kubernetes injection support in the next couple of weeks. So, those are the two that people have had the most success on. If you're running on bare metal or on a VM, we work, but I will say that you have to know your way around a little bit to get that to work. What we don't work on is any Platform as a Service. So, like, a Heroku, a Lambda, a Render at the moment. So those, we haven't found a way to passively listen to the network traffic in a good way right now.And we also work best for unencrypted HTTP REST traffic. So, if you have encrypted traffic, it's not a non-starter, but you need to fall into a couple of categories. You either need to be using Kubernetes, you can run Akita as a sidecar, or you're using Nginx. And so, that's something we're still expanding support on. And we do not support GraphQL or GRPC at the moment.Corey: That's okay. Neither do I. It does seem these days that unencrypted HTTP API calls are increasingly becoming something of a relic, where folks are treating those as anti-patterns to be stamped out ruthlessly. Are you still seeing significant deployments of unencrypted APIs?Jean: Yeah. [laugh]. So, Corey—Corey: That is the reality, yes.Jean: That's a really good question, Corey, because in the beginning, we weren't sure what we wanted to focus on. And I'm not saying the whole deployment is unencrypted HTTP, but there is a place to install Akita to watch where it's unencrypted HTTP. And so, this is what I mean by if you have encrypted traffic, but you can install Akita as a Kubernetes sidecar, we can still watch that. But there was a big question when we started: should this be GraphQL, GRPC, or should it be REST? And I read the “State of the API Report” from Postman for you know, five years, and I still keep up with it.And every year, it seemed that not only was REST, remaining dominant, it was actually growing. So, [laugh] this was shocking to me as well because people said, well, “We have this more structured stuff, now. There's GRPC, there's GraphQL.” But it seems that for the added complexity, people weren't necessarily seeing the value and so, REST continues to dominate. And I've actually even seen a decline in GraphQL since we first started doing this. So, I'm fully on board the REST wagon. And in terms of encrypted versus unencrypted, I would also like to see more encryption as well. That's why we're working on burning down the long tail of support for that.Corey: Yeah, it's one of those challenges. Whenever you're deploying something relatively new, there's this idea that it should be forward-looking and you, on some level, want to modernize your architecture and infrastructure to keep up with it. An AWS integration story I see that's like that these days is, “Oh, yeah, generate an IAM credential set and just upload those into our system.” Yeah, the modern way of doing that is role assumption: to find a role and here's how to configure it so that it can do what we need to do. So, whenever you start seeing things that are, “Oh, yeah, just turn the security clock back in time a little bit,” that's always a little bit of an eyebrow raise.I can also definitely empathize with the joys of dealing with anything that even touches networking in a Lambda context. Building the Lambda extension for Tailscale was one of the last big dives I made into that area and I still have nightmares as a result. It does a lot of interesting things right up until you step off the golden path. And then suddenly, everything becomes yaks all the way down, in desperate need of shaving.Jean: Yeah, Lambda does something we want to handle on our roadmap, but I… believe we need a bigger team before [laugh] we are ready to tackle that.Corey: Yeah, we're going to need a bigger boat is very often [laugh] the story people have when they start looking at entire new architectural paradigms. So, you end up talking about working in containerized environments. Do you find that most of your deployments are living in cloud environments, in private data centers, some people call them private cloud. Where does the bulk of your user applications tend to live these days?Jean: The bulk of our user applications are in the cloud. So, we're targeting small to medium businesses to start. The reason being, we want to give our users a magical deployment experience. So, right now, a lot of our users are deploying in under 30 minutes. That's in no small part due to automations that we've built.And so, we initially made the strategic decision to focus on places where we get the most visibility. And so—where one, we get the most visibility, and two, we are ready for that level of scale. So, we found that, you know, for a large business, we've run inside some of their production environments and there are API calls that we don't yet handle well or it's just such a large number of calls, we're not doing the inference as well and our algorithms don't work as well. And so, we've made the decision to start small, build our way up, and start in places where we can just aggressively iterate because we can see everything that's going on. And so, we've stayed away, for instance, from any on-prem deployments for that reason because then we can't see everything that's going on. And so, smaller companies that are okay with us watching pretty much everything they're doing has been where we started. And now we're moving up into the medium-sized businesses.Corey: The challenge that I guess I'm still trying to wrap my head around is, I think that it takes someone with a particularly rosy set of glasses on to look at the current state of monitoring and observability and say that it's not profoundly broken in a whole bunch of ways. Now, where it all falls apart, Tower of Babelesque, is that there doesn't seem to be consensus on where exactly it's broken. Where do you see, I guess, this coming apart at the seams?Jean: I agree, it's broken. And so, if I tap into my background, which is I was a programming languages person in my very recently, previous life, programming languages people like to say the problem and the solution is all lies in abstraction. And so, computing is all about building abstractions on top of what you have now so that you don't have to deal with so many details and you got to think at a higher level; you're free of the shackles of so many low-level details. What I see is that today, monitoring and observability is a sort of abstraction nightmare. People have just taken it as gospel that you need to live at the lowest level of abstraction possible the same way that people truly believe that assembly code was the way everybody was going to program forevermore back, you know, 50 years ago.So today, what's happening is that when people think monitoring, they think logs, not what's wrong with my system, what do I need to pay attention to? They think, “I have to log everything, I have to consume all those logs, we're just operating at the level of logs.” And that's not wrong because there haven't been any tools that have given people any help above the level of logs. Although that's not entirely correct, you know? There's also events and there's also traces, but I wouldn't say that's actually lifting the level of [laugh] abstraction very much either.And so, people today are thinking about monitoring and observability as this full control, like, I'm driving my, like, race car, completely manual transmission, I want to feel everything. And not everyone wants to or needs to do that to get to where they need to go. And so, my question is, how far are can we lift the level of abstraction for monitoring and observability? I don't believe that other people are really asking this question because most of the other players in the space, they're asking what else can we monitor? Where else can we monitor it? How much faster can we do it? Or how much more detail can we give the people who really want the power tools?But the people entering the buyer's market with needs, they're not people—you don't have, like, you know, hordes of people who need more powerful tools. You have people who don't know about the systems are dealing with and they want easier. They want to figure out if there's anything wrong with our system so they can get off work and do other things with their lives.Corey: That, I think, is probably the thing that gets overlooked the most. It's people don't tend to log into their monitoring systems very often. They don't want to. When they do, it's always out of hours, middle of the night, and they're confronted with a whole bunch of upsell dialogs of, “Hey, it's been a while. You want to go on a tour of the new interface?”Meanwhile, anything with half a brain can see there's a giant spike on the graph or telemetry stop coming in.Jean: Yeah.Corey: It's way outside of normal business hours where this person is and maybe they're not going to be in the best mood to engage with your brand.Jean: Yeah. Right now, I think a lot of the problem is, you're either working with monitoring because you're desperate, you're in the middle of an active incident, or you're a monitoring fanatic. And there isn't a lot in between. So, there's a tweet that someone in my network tweeted me that I really liked which is, “Monitoring should be a chore, not a hobby.” And right now, it's either a hobby or an urgent necessity [laugh].And when it gets to the point—so you know, if we think about doing dishes this way, it would be as if, like, only, like, the dish fanatics did dishes, or, like, you will just have piles of dishes, like, all over the place and raccoons and no dishes left, and then you're, like, “Ah, time to do a thing.” But there should be something in between where there's a defined set of things that people can do on a regular basis to keep up with what they're doing. It should be accessible to everyone on the team, not just a couple of people who are true fanatics. No offense to the people out there, I love you guys, you're the ones who are really helping us build our tool the most, but you know, there's got to be a world in which more people are able to do the things you do.Corey: That's part of the challenge is bringing a lot of the fire down from Mount Olympus to the rest of humanity, where at some level, Prometheus was a great name from that—Jean: Yep [laugh].Corey: Just from that perspective because you basically need to be at that level of insight. I think Kubernetes suffers from the same overall problem where it is not reasonably responsible to run a Kubernetes production cluster without some people who really know what's going on. That's rapidly changing, which is for the better, because most companies are not going to be able to afford a multimillion-dollar team of operators who know the ins and outs of these incredibly complex systems. It has to become more accessible and simpler. And we have an entire near century at this point of watching abstractions get more and more and more complex and then collapsing down in this particular field. And I think that we're overdue for that correction in a lot of the modern infrastructure, tooling, and approaches that we take.Jean: I agree. It hasn't happened yet in monitoring and observability. It's happened in coding, it's happened in infrastructure, it's happened in APIs, but all of that has made it so that it's easier to get into monitoring debt. And it just hasn't happened yet for anything that's more reactive and more about understanding what the system is that you have.Corey: You mentioned specifically that your background was in programming languages. That's understating it slightly. You were a tenure-track professor of computer science at Carnegie Mellon before entering industry. How tied to what your area of academic speciality was, is what you're now at Akita?Jean: That's a great question and there are two answers to that. The first is very not tied. If it were tied, I would have stayed in my very cushy, highly [laugh] competitive job that I worked for years to get, to do stuff there. And so like, what we're doing now is comes out of thousands of conversations with developers and desire to build on the ground tools that I'm—there's some technically interesting parts to it, for sure. I think that our technical innovation is our moat, but is it at the level of publishable papers? Publishable papers are a very narrow thing; I wouldn't be able to say yes to that question.On the other hand, everything that I was trained to do was about identifying a problem and coming up with an out-of-the-box solution for it. And especially in programming languages research, it's really about abstractions. It's really about, you know, taking a set of patterns that you see of problems people have, coming up with the right abstractions to solve that problem, evaluating your solution, and then, you know, prototyping that out and building on top of it. And so, in that case, you know, we identified, hey, people have a huge gap when it comes to monitoring and observability. I framed it as an abstraction problem, how can we lift it up?We saw APIs as this is a great level to build a new level of solution. And our solution, it's innovative, but it also solves the problem. And to me, that's the most important thing. Our solution didn't need to be innovative. If you're operating in an academic setting, it's really about… producing a new idea. It doesn't actually [laugh]—I like to believe that all endeavors really have one main goal, and in academia, the main goal is producing something new. And to me, building a product is about solving a problem and our main endeavor was really to solve a real problem here.Corey: I think that it is, in many cases, useful when we start seeing a lot of, I guess, overflow back and forth between academia and industry, in both directions. I think that it is doing academia a disservice when you start looking at it purely as pure theory, and oh yeah, they don't deal with any of the vocational stuff. Conversely, I think the idea that industry doesn't have anything to learn from academia is dramatically misunderstanding the way the world works. The idea of watching some of that ebb and flow and crossover between them is neat to see.Jean: Yeah, I agree. I think there's a lot of academics I super respect and admire who have done great things that are useful in industry. And it's really about, I think, what you want your main goal to be at the time. Is it, do you want to be optimizing for new ideas or contributing, like, a full solution to a problem at the time? But it's there's a lot of overlap in the skills you need.Corey: One last topic I'd like to dive into before we call it an episode is that there's an awful lot of hype around a variety of different things. And right now in this moment, AI seems to be one of those areas that is getting an awful lot of attention. It's clear too there's something of value there—unlike blockchain, which has struggled to identify anything that was not fraud as a value proposition for the last decade-and-a-half—but it's clear that AI is offering value already. You have recently, as of this recording, released an AI chatbot, which, okay, great. But what piques my interest is one, it's a dog, which… germane to my interest, by all means, and two, it is marketed as, and I quote, “Exceedingly polite.”Jean: [laugh].Corey: Manners are important. Tell me about this pupper.Jean: Yeah, this dog came really out of four or five days of one of our engineers experimenting with ChatGPT. So, for a little bit of background, I'll just say that I have been excited about the this latest wave of AI since the beginning. So, I think at the very beginning, a lot of dev tools people were skeptical of GitHub Copilot; there was a lot of controversy around GitHub Copilot. I was very early. And I think all the Copilot people retweeted me because I was just their earlies—like, one of their earliest fans. I was like, “This is the coolest thing I've seen.”I've actually spent the decade before making fun of AI-based [laugh] programming. But there were two things about GitHub Copilot that made my jaw drop. And that's related to your question. So, for a little bit of background, I did my PhD in a group focused on program synthesis. So, it was really about, how can we automatically generate programs from a variety of means? From constraints—Corey: Like copying and pasting off a Stack Overflow, or—Jean: Well, the—I mean, that actually one of the projects that my group was literally applying machine-learning to terabytes of other example programs to generate new programs. So, it was very similar to GitHub Copilot before GitHub Copilot. It was synthesizing API calls from analyzing terabytes of other API calls. And the thing that I had always been uncomfortable with these machine-learning approaches in my group was, they were in the compiler loop. So, it was, you know, you wrote some code, the compiler did some AI, and then it spit back out some code that, you know, like you just ran.And so, that never sat well with me. I always said, “Well, I don't really see how this is going to be practical,” because people can't just run random code that you basically got off the internet. And so, what really excited me about GitHub Copilot was the fact that it was in the editor loop. I was like, “Oh, my God.”Corey: It had the context. It was right there. You didn't have to go tabbing to something else.Jean: Exactly.Corey: Oh, yeah. I'm in the same boat. I think it is basically—I've seen the future unfolding before my eyes.Jean: Yeah. Was the autocomplete thing. And to me, that was the missing piece. Because in your editor, you always read your code before you go off and—you know, like, you read your code, whoever code reviews your code reads your code. There's always at least, you know, two pairs of eyes, at least theoretically, reading your code.So, that was one thing that was jaw-dropping to me. That was the revelation of Copilot. And then the other thing was that it was marketed not as, “We write your code for you,” but the whole Copilot marketing was that, you know, it kind of helps you with boilerplate. And to me, I had been obsessed with this idea of how can you help developers write less boilerplate for years. And so, this AI-supported boilerplate copiloting was very exciting to me.And I saw that is very much the beginning of a new era, where, yes, there's tons of data on how we should be programming. I mean, all of Akita is based on the fact that we should be mining all the data we have about how your system and your code is operating to help you do stuff better. And so, to me, you know, Copilot is very much in that same philosophy. But our AI chatbot is, you know, just a next step along this progression. Because for us, you know, we collect all this data about your API behavior; we have been using non-AI methods to analyze this data and show it to you.And what ChatGPT allowed us to do in less than a week was analyze this data using very powerful large-language models and I have this conversational interface that both gives you the opportunity to check over and follow up on the question so that what you're spitting out—so what we're spitting out as Aki the dog doesn't have to be a hundred percent correct. But to me, the fact that Aki is exceedingly polite and kind of goofy—he, you know, randomly woofs and says a lot of things about how he's a dog—it's the right level of seriousness so that it's not messaging, hey, this is the end all, be all, the way, you know, the compiler loop never sat well with me because I just felt deeply uncomfortable that an AI was having that level of authority in a system, but a friendly dog that shows up and tells you some things that you can ask some additional questions to, no one's going to take him that seriously. But if he says something useful, you're going to listen. And so, I was really excited about the way this was set up. Because I mean, I believe that AI should be a collaborator and it should be a collaborator that you never take with full authority. And so, the chat and the politeness covered those two parts for me both.Corey: Yeah, on some level, I can't shake the feeling that it's still very early days there for Chat-Gipity—yes, that's how I pronounce it—and it's brethren as far as redefining, on some level, what's possible. I think that it's in many cases being overhyped, but it's solving an awful lot of the… the boilerplate, the stuff that is challenging. A question I have, though, is that, as a former professor, a concern that I have is when students are using this, it's less to do with the fact that they're not—they're taking shortcuts that weren't available to me and wanting to make them suffer, but rather, it's, on some level, if you use it to write your English papers, for example. Okay, great, it gets the boring essay you don't want to write out of the way, but the reason you write those things is it teaches you to form a story, to tell a narrative, to structure an argument, and I think that letting the computer do those things, on some level, has the potential to weaken us across the board. Where do you stand on it, given that you see both sides of that particular snake?Jean: So, here's a devil's advocate sort of response to it, is that maybe the writing [laugh] was never the important part. And it's, as you say, telling the story was the important part. And so, what better way to distill that out than the prompt engineering piece of it? Because if you knew that you could always get someone to flesh out your story for you, then it really comes down to, you know, I want to tell a story with these five main points. And in some way, you could see this as a playing field leveler.You know, I think that as a—English is actually not my first language. I spent a lot of time editing my parents writing for their work when I was a kid. And something I always felt really strongly about was not discriminating against people because they can't form sentences or they don't have the right idioms. And I actually spent a lot of time proofreading my friends' emails when I was in grad school for the non-native English speakers. And so, one way you could see this as, look, people who are not insiders now are on the same playing field. They just have to be clear thinkers.Corey: That is a fascinating take. I think I'm going to have to—I'm going to have to ruminate on that one. I really want to thank you for taking the time to speak with me today about what you're up to. If people want to learn more, where's the best place for them to find you?Jean: Well, I'm always on Twitter, still [laugh]. I'm @jeanqasaur—J-E-A-N-Q-A-S-A-U-R. And there's a chat dialog on akitasoftware.com. I [laugh] personally oversee a lot of that chat, so if you ever want to find me, that is a place, you know, where all messages will get back to me somehow.Corey: And we will, of course, put a link to that into the [show notes 00:35:01]. Thank you so much for your time. I appreciate it.Jean: Thank you, Corey.Corey: Jean Yang, CEO at Akita Software. I'm Cloud Economist Corey Quinn, and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice, along with an angry insulting comment that you will then, of course, proceed to copy to the other 17 podcast tools that you use, just like you do your observability monitoring suite.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.

“As a leader we can't assume people will follow us.” - Laurie Barkman80% of business owners want to stop working in their business in the next 5-10 years, but most have not planned for that transition. Many need to improve the business first.Laurie Barkman is a "business transition sherpa." With her firm, SmallDotBig, she advises owners on having more valuable, sellable businesses. And as a Partner with Stony Hill Advisors, a mergers andacquisitions firm, she guides them through the complex process of letting it go.Laurie is the former CEO of a $100 million revenue company with an exit to a Fortune 50 company. With more than 25 years of C-Suite and award- winning marketing expertise, she provides actionable perspectives to drive sustainable value.Engaging audiences across the US, Laurie is an Adjunct Professor of Entrepreneurship at Carnegie Mellon University, leads executive workshops with Vistage, and hosts a weekly podcast called Succession Stories.Laurie earned her MBA from Carnegie Mellon and BS from Cornell University. She is a Certified Value Builder Advisor and has a Certificate from the Exit Planning Institute.Click here to subscribe to The Sell My Business Podcast to save time and effort.SELECTED LINKS FOR THIS EPISODElbarkman@smalldotbig.comSmallDotBigSchedule a Business Transition Advisory Call with Laurie BarkmanLaurie Barkman, The Business Transition Sherpa - YouTubeLaurie Barkman - Value Creation and Business Transition Advisor | CEO/Founder - SmallDotBig LLC | LinkedInLaurie Barkman (@LaurieBarkman) / TwitterSuccession Planning Stories Podcast SmallDotBigCockroach Startups: What You Need To Know To Succeed And ProsperFREE Deep Wealth eBook on Why You Suck At Selling Your Business And What You Can Do About It (Today)Book Your FREE Deep Wealth Strategy CallResources To Have You Thrive And ProsperThe Deep Wealth Podcast brings you a wealth of world-class thought leaders who share invaluable resources and insights. Click the link below to access the resources, gear, and books that either our guests or the Deep Wealth team leverage to increase success:https://www.deepwealth.com/thriveContact Deep Wealth: Tweet @JeffreyFeldberg LinkedIn Instagram Subscribe to The Deep Wealth Podcast Email podcast[at]deepwealth[dot]com Help us pay it forward by leaving a review.Here's to you and your success!As always, please stay healthy and safe.

Today I had the pleasure of interviewing Ruchi Bhatia. She is a 3x kaggle grandmaster and grad student at Carnegie Mellon studying Information Systems Management. Ruchi is also a fellow Z by HP global data science ambassador. In this episode we talk about her experience becoming a kaggle grandmaster, how she was able to kickstart her career through sharing her work, and the implication of ChatGPT on students, teachers, and kagglers. Ruchi's Links:LinkedIn - https://www.linkedin.com/in/ruchi798/Kaggle - https://www.kaggle.com/ruchi798Twitter - https://twitter.com/ruchi798?lang=en

On this week's episode, WHOOP Founder and CEO Will Ahmed is joined by ultramarathoner and data scientist John Kelly. John is fresh off his completion of one of the most grueling endurance races in the world, the Barkley Marathons. He has won numerous endurance races, competed in multiple Ironmans and triathlons, holds a Guinness World Record, and a PhD from Carnegie Mellon focused on brain-computer interfaces. Will and John discuss how John got into ultramarathons and endurance competitions (3:52), what John gets out of running ultras (9:10), running the Barkley Marathons (12:00), how to fuel before and during an ultra (16:40), how to navigate while running the Barkley Marathons (18:33), John's WHOOP data before and after the races (20:05), recovering from an ultramarathon (25:08), the mental and physical fatigue when running ultras (28:07), how John developed mental toughness (34:45), what it was like going back to the Barkley Marathons after winning (40:05), people who John has learned from over the years (47:44), what John has learned while being on WHOOP (50:00).Resources:John's WebsiteJohn's TwitterJohn's InstagramSupport the show

This spring, actor and singer-songwriter Jason Schmidt can be seen starring as Buddy in Paramount+'s highly anticipated Grease: Rise Of The Pink Ladies. Slated to premiere on April 6, the series is a prequel to the beloved movie musical, Grease. The prequel musical series follows the four founders of the legendary "pink ladies" who dare to have fun on their own terms, sparking a moral panic that will change Rydell High forever. Buddy (Jason) is the golden boy of Rydell High, the quarterback of the football team, the reigning student body president, and the social king. Due to Buddy's privilege, he sees life through a rose-colored lens and doesn't notice how the current hierarchy of the school negatively affects his friends and peers. Throughout the series, Buddy will face certain truths and will be left at a crossroads. In addition to Grease: Rise of the Pink Ladies, Jason can currently be seen starring in the world premiere musical adaptation of The Outsiders portraying the role of Sodapop Curtis. The Outsiders officially opened on March 5, 2023, and is currently being showcased at the La Jolla Playhouse in San Diego. The Outsiders is based on the coming-of-age novel by S.E. Hinton and Francis Ford Coppola's Motion Picture. Taking place in Tulsa, Oklahoma in 1967, the play portrays the hardened hearts and aching souls of Ponyboy Curtis, Johnny Cade, and their chosen family of 'outsiders' in a fight for survival and a quest for purpose in a world that may never accept them. Depicting a story of the bonds of brotherhood and the hopes we all hold on to, this gripping new musical reinvigorates the timeless tale of 'haves and havenots, of protecting what's yours and fighting for what could be. A natural-born performer, Jason got his start in acting at just nine years old when he joined the cast of The Hobbit The Musical at his community theatre in Chicago. He instantly fell in love with being on stage and continued to act within his community theatre whilst also prioritizing his studies. Upon high school graduation, Jason began to audition for college programs and was accepted into the world renowned theatre program at Carnegie Mellon in Pittsburgh. His formal training taught him how to be a resourceful actor but more importantly how to look at the world as an artist. It was there, inspired by those around him, that he began to write music and dance, which has now become equally as important to him as acting, making him a multi-hyphenate and triple-threat talent. When Jason is not on set, he can be found in the studio, honing his craft as an independent artist. He is a singer-songwriter and is consistently releasing music across all music platforms, and is currently working on an album. In addition to promoting his various music and acting projects across his social media, Jason is also passionate about using his platform to advocate for mental health.

I predict waitlisted students will have a higher chance of admission to their waitlisted schools. I share my reasoning, data from top universities like Stanford, Princeton, Cornell, Georgetown, Carnegie Mellon and more. I also cover appeals that worked. Reach out if you'd like help proofreading your LOCI. Want the template to write a Letter of Continue Interest? Complete the form and note you want the template and I'll email it directly to you https://www.collegeandcareerchampion.com/contact I just created a Facebook Group for those of you that have further questions you'd like to discuss: https://www.facebook.com/groups/189940580171782 Watch previous video University of California Waitlist 2023 | What Are Your Chances? Data Revealed! UCLA, UCB, UCSD, UCI: https://youtu.be/aKiLP1sFKaI Increase Rate of Acceptance | College Waitlisted or Deferred | Editing Letter of Continued Interest: https://youtu.be/BmHrIT-y8tg

John Kelly is an ultramarathon athlete, Chief Technology Officer of Envelop Risk, holds a PhD in electrical engineering and machine learning from Carnegie Mellon, and is a father of four. Barkley Marathons is considered by many one of the hardest endurance events to complete, with only 17 total finishers and 21 total finishes in it's history.  LMNT: drinkLMNT.com/HPO Support HPO: zachbitter.com/hpo  HPO Patreon: patreon.com/HPOpodcast Zach's Coaching: https://zachbitter.com/coaching John: randomforestrunner.com IG: @randomforestrunner Tw: @RndmForestRunnr FB: @RandomForestRunner Zach: zachbitter.com IG: @zachbitter Tw: @zbitter FB: @zbitterendurance Strava: Zach Bitter

Devin Anderson, CEO and co-founder of Convexitas, stops by The Business Brew to discuss his firm's approach to risk management via options strategies. In short, Convexitas seeks to exploit structural options mispricing resulting from market participant's biases. What does that mean in plain English? Well, there are people that sell financial yield strategies that involve selling puts and selling covered calls. If enough of the market does that there is a chance the front month option pricing is not high enough. In that case, Convexitas might consider purchasing some of those options. Why is Devin worth listening to? Before Convexitas, he was at Deutsche Bank for 15 years where he most recently was Managing Director and Head of Solutions in the Americas leading the structuring and sales teams which designed and distributed the risk premia, retail structured product, and the fund derivative businesses. His Deutsche Bank experience also includes covering institutional clients for listed options and OTC derivatives. Prior to the financial services industry, Devin had a previous career in technology where he held both engineering and sales roles at two early stage internet service & datacenter hosting providers, and former search engine Lycos. He holds a Bachelor of Finance from the University of Pittsburgh and an MBA from Carnegie Mellon, where he also guest lectures on options and option market micro-structure. In short, the guy is smart and you can learn something. Enjoy the episode. Hope you enjoyed this show note! This episode is sponsored by Stratosphere.io.  Stratosphere.io is a web based terminal that has financial data, KPIs, links to filings, hedge fund letters, etc.  A key differentiator is Stratosphere.io's segment data and KPIs, which are triple checked for accuracy.  Stratosphere saves users time, enables easy comparisons between companies, and offers company specific metrics such as subscriber counts, numbers of locations, etc. Head over to Stratosphere.io for a free trial.  Should you want to sign up for a paid offering please use the promo code BREW for 15% off. Thank you to the team at thepodcastconsultant.com for producing the show. Detailed Show Notes -  2:00 - Devin's background 6:25 - Convexitas is a very risk focused firm 12:00 - The decision to reduce risk vs. manage risk 15:15 - What Convexitas is very good at 19:40 - Why an options thesis should start with the behavioral biases of the options market 24:50 - An options position should be better than a resized cash position 27:30 - If at any time short options strategies are changing your lifestyle then you should probably do less of it 35:00 - What about options counterparty risk? 37:30 - A discussion of one day options and why they exist (hint: they are a great business for market makers) 41:50 - How was Convexitas started? 45:10 - Does AI help Convexitas and/or is it a risk? 53:00 - It's not actually the risk, but how you manage to the risk 57:40 - The difference between financial products and investment products 1:01:25 - Performance under pressure and mindfulness

TODAY'S GUEST   Dr. Hila Lifshitz-Assaf is an Associate Professor at NYU Stern. She is also a faculty associate at Harvard's Lab for Innovation Science. Her work received the prestigious INSPIRE grant from the National Science Foundation, has been recognized to have a strong impact on industry, and has been taught at a variety of institutions around the world including MIT, Harvard, Stanford, Wharton, London Business School, Columbia, and Carnegie Mellon.   Hila spent 3 years at NASA, studying their adoption of open innovation processes, which led to many insights and an award-winning dissertation and paper. She continues to investigate new innovation processes such as crowdsourcing, open source, open online innovation communities, Wikipedia, hackathons, makeathons, etc.   EPISODE SUMMARY   In this conversation we discuss: [2:47] Covid situation, teaching remotely. [4:41] Leading COVID-19 hackathons, open innovation. [10:37] Crisis as impetus for change. [14:21] Developing curiosity in early childhood. Questioning boundaries. [19:01] Pre-academic career: law, consulting, listening to people and seeing their psychology as business drivers. [25:27] Getting interested in innovation, innovation as the "Big Question" of business. [28:25] Working with NASA, NASA's culture. [40:22] Open innovation study at NASA. [48:01] How peoples' identity can hold innovation back. [53:28] Growth mindset & belief. [55:34] The pace of change. [57:30] The causes of dysfunction. [1:01:09] Embracing a little chaos. [1:12:14] Bias towards action. [1:14:10] Remote work & creativity. [1:22:05] Managing for creativity. [1:30:24] A short sermon for creative managers.   EPISODE LINKS Hila's Links

Bill Meehan⁠ and ⁠Kirk Selenberg⁠ are the Co-Founders of ⁠MiniGrip⁠, which is the World's First Portable Gripper – A high-quality accessory that people carry with them and use to open twist-top bottles, jars, and other items!   Kirk and Bill met in Business school at Carnegie Mellon in 2010 and have been friends since.  Kirk (Chief Product Officer) is a Mechanical Engineer by education with 7 Years in R&D and 15 Years in IT. Bill (CEO) has and Finance and Operations background with 20+ years of experience leading businesses in both High-tech and Retail. Bill and Kirk launched MiniGrip in 2020 and have both always wanted to start a new business.   Bill and Kirk both live in Lexington with their families. Links Mentioned in Today's Episode: • ⁠Kirk Selenberg⁠ on Linkedin • ⁠Bill Meehan⁠ on Linkedin • ⁠MiniGrip website⁠ Leave Some Feedback: • Email ⁠podcast@awesomeinc.org⁠ with what you want to hear about next. • Did you enjoy this episode? If so, please leave a short review. Connect with Us: • Subscribe to our podcast • ⁠awesomeinc.org⁠ • Instagram -- @awesomeinclex • Twitter -- @awesomeinclex • ⁠YouTube --- Send in a voice message: https://podcasters.spotify.com/pod/show/awesomeinc/message

Today -- Amy's B's Binaural Beats. Ft. Coughs...Subscribe for more. --- Segment One: Tik Tok Time Limit In effort to reduce teen screen time, Tik Tok has a set a 60 minute limit to users under 18.  Karl suggest we take it a step up and set a limit to all social media. --- Segment Two: Five Minutes with a Smart Guy - Brian Mahon Brian Mahon, is a Certified Insurance Counselor, and innovation enthusiast. Brian has served innovative companies in the technology and life science industries since 2017. After a few years of helping entrepreneurs and CFOs at small, medium, and large companies with their risk management programs, he realized his favorite clients were all MSPs! In March of 2022, he graduated from Chubb and Carnegie Mellon's Cyber COPE Insurance Certification program and launched www.insuranceformsps.com. He works day to day as an advisor at a top 100 independent insurance agency, EHD Insurance in Lancaster, PA. Find out more: https://www.InsuranceForMSPs.com --- Segment Three: A Little Bit About Everything  From Microsoft's secret features that aren't that secret, securit breaches, and a little bit more a bout Tik Tok. This sample platter is not something you want to miss. Resources and Links: Amy to speak in September...The Experts Conference OVERVIEW - The Experts Conference (TEC) 2023: https://theexpertsconference.cventevents.com/event/ff6b61dc-386d-422c-a142-8bd9b3b75453/websitePage:8c699f24-f1dc-4f41-942c-4ed5a001cb5e  Links to Amy's Facebook communities Ransomware, Security, Compliance  and Privacy: https://www.facebook.com/groups/RansomwarePrevention Intune, MeM, Defender and Lighthouse: https://www.facebook.com/groups/endpointmanager Legislation and Regulation: https://www.facebook.com/groups/MSPRegulationAndLegislation   

Here is number three by Kevin! Kevin is currently Head of UX for Pie Insurance. Throughout his career, Kevin has offered design leadership for many well-known brands such as: GEICO, IBM, and Quicken Loans. His research has been cited in over 50+ countries. He is a Council member for the George Washington University Customer Experience Advisory Council, Forbes, and Invision's Design Leadership Forum. Kevin has be guest lectured at the top 3 Human-Computer Interaction Schools in the world (University of Washington, Georgia Tech, and Carnegie Mellon). Ramblings of a Designer podcast is a monthly design news and discussion podcast hosted by Laszlo Lazuer and Terri Rodriguez-Hong (@flaxenink, insta: flaxenink.design). Facebook:https://www.facebook.com/Ramblings-of-a-Designer-Podcast-2347296798835079/ Send us feedback! ramblingsofadesignerpod@gmail.com, Support us on Patreon! patreon.com/ramblingsofadesigner

Flourish is a fintech platform for registered investment advisers (RIAs) that was recently acquired by MassMutual.After studying computer science at Carnegie Mellon, Christine spent almost 12 years at Goldman Sachs, where she was VP of fixed systematic marketing making, responsible for automating electronic trades of interest-rate products like US Treasury bonds and interest rate swaps.Christine's time at the world's second-largest investment bank gave her a healthy wariness of Frankencode, the scourge of legacy stacks everywhere.Find Christine on LinkedIn.Shoutout to Lifeboat badge winner amirali for their answer to I can't set up JDK on Visual Studio Code.

In a back-to-back special, we're continuing to explore how learning works through the book “How Learning Works: 8 Research Based Principles of Smart Teaching”. Picking up from our last episode with Dr. Marie Norman at the University of Pittsburgh, a short walk down Forbes Ave towards Carnegie Mellon, you can find the office of today's guest, Dr. Marsha Lovett. Starting as a professor in Carnegie Mellon's psychology department, Dr. Lovett now serves as Vice Provost for Teaching and Learning Innovation. She manages the Eberly Center, a team of teaching consultants, learning designers, data scientists, and technologists who help instructors create meaningful and demonstrably effective educational experiences (and still, she has time to teach her psych classes). Dr. Lovett's psychological background was front and center in our chat with her, where we talked about the importance of motivation and engagement in learning, the power of generative learning, and how organizations can really tell if the information they're teaching people is sticking, and working. If you enjoyed our last podcast, this is a great follow up to dive even deeper into how learning really works, so with that…let's bring it in!

A Medication Abortion Drug Faces Potential Nationwide Restriction A federal court case underway in Texas this week could have big implications for medication based abortion care across the U.S. The case involves the FDA's approval of the drug mifepristone, which is used as part of a two-drug combination in most medication abortions. The plaintiffs in the case are arguing that the FDA went against its own guidelines regarding drug safety when it approved the medication in 2000, though the overwhelming evidence has shown the drug to be safe and effective. A ruling against the FDA could result in mifepristone prescriptions being banned nationwide. Maggie Koerth, senior science writer at FiveThirtyEight, joins John Dankosky to talk about the case and its implications. They also tackle other stories from the week in science, including investigations of the Earth's inner core, a timeline for astronauts on board the ISS, and efforts to understand what “burnout” actually is.   A New Twist On Sowing Seeds Imagine sowing a handful of seeds on the ground—but instead of needing planting help from a rake or hoe, the seeds can determine for themselves when the ground is fresh from the rain and ready for planting, and burrow their own way into the damp soil. Some seeds, including varieties of Erodium species, can actually do that. They use their self-burying ability to adapt to arid climates. But in a recent study in the journal Nature, researchers describe a package, or wrapper that can give other kinds of seeds self-burying powers as well. The design adapts some of the shapes and techniques used by Erodium into a biodegradable corkscrew made of engineered wood, that can respond to moisture and uncoil to slowly drill a seed into receptive soil. Dr. Lining Yao, co-author of that report and director of the Morphing Matter Lab in Carnegie Mellon's School of Computer Science, joins guest host Regina Barber to describe the seed delivery system, and what remains to be solved before it can be used in the wild.   A Long History Shadows New Fight Over California's Shasta Dam A few years ago, I stumbled onto the story of the Winnemem Wintu people, an indigenous people of Northern California. Theirs is an epic tale and it grabbed hold of me. For several years, I tagged along with them whenever I could. I was around so much, they started teasing me. The large fuzzy windscreens of my recording setup earned me a nickname. The Winnemem Wintu and their close friends call me and my microphone Gray Squirrel. Nickname aside, I never took it lightly that the Winnemem Wintu let me into their space. For good reasons, many Native people are suspicious of outsiders. I understood their openness was special and rare. My greatest hope is that you will hear their story of struggle and resilience, of betrayal and a willingness to still believe in the good things to come – and that it will change you as it did me.Behind the Chief we see the top of Shasta Dam's immense concrete spillway set against a background of dry, rolling hills. Shasta Dam stands 602 feet high. It's the country's 8th tallest. It turned California into the giant, agricultural engine that it is today. It also left a legacy of harm when it flooded the Winnemem and other Wintu people off their land. Read the rest at sciencefriday.com.   Rapper And Scholar Sammus Confronts AI In Hip-Hop Over the last six months, there's been a lot of movement and discussion about the effects that generative AI will have on visual art and writing. But what about its effects on music—in particular, hip-hop? A few years ago, a deep fake of Kanye West rapping a verse from “Bohemian Rhapsody” by Queen went viral. It was created with just a few clicks using the program Uberduck, which can output AI-generated raps from text of the users' choice. And it turns out that the rhythmic qualities that make hip-hop performers' verses so spellbinding is exactly what makes them easier to mimic in deep fakes, as opposed to other genres of music. Guest host Regina Barber talks with rapper and music, science, and technology scholar Dr. Enongo Lumumba-Kasongo, also known as Sammus, about the unexpected crossovers between hip-hop and the growing field of generative AI. She is also an assistant professor of music at Brown University in Providence, Rhode Island.   Transcripts for each segment will be available the week after the show airs on sciencefriday.com.  

David E. Kaiser is a historian and author whose published works have covered a broad range of topics, from European warfare to American League baseball. He was a Professor in the Strategy and Policy Department of the United States Naval War College from 1990 until 2012 and has taught at Carnegie Mellon, Williams College, and Harvard University. David is the author of "The Road to Dallas" about the Kennedy assassination, was published by Harvard University Press in 2008. The book accepts the Warren Commission's finding that Lee Harvey Oswald was the lone gunman, but posits that he was an opponent of Castro used by mafia leaders who wanted Kennedy and Castro dead. --- Support this podcast: https://anchor.fm/out-of-the-blank-podcast/support

Retired attorney, Carnegie Mellon grad, alternative rock singer/songwriter and huge lifetime Pitt Panthers hoops fan opines on the notion that Blake Hinson is Pitt's wild card or x-factor this season. Uh-uh. No way. He's the team MVP.

On today's episode, we will be joined by Melodie Yashar to discuss the future of space architecture, the role that 3D printing will play in how we construct off-world habitats, and the latest on what ICON has in store for lunar and Martian construction.Melodie is the VP of Building Design & Performance at ICON, a construction technologies company focused on large scale additive manufacturing for Earth and in space.  Melodie oversees the architectural direction of ICON's built work as well as the performance of ICON's building systems to deliver optimally-performing structures that shift the paradigm of homebuilding on Earth and beyond.  Collaborating across technology and construction teams, her department supports design and construction of dignified and resilient terrestrial housing solutions in addition to supporting the development of ICON's off-world construction systems.Melodie teaches undergraduate and graduate design studios at Art Center College of Design.  In previous roles, Melodie was a Senior Research Associate with the Human Systems Integration Division at NASA Ames via the San Jose State University Research Foundation (SJSURF), as well as a co-founder of Space Exploration Architecture (SEArch+), a research group developing human supporting designs for space exploration.Melodie obtained a Master of Architecture from Columbia University and a Master of Human-Computer Interaction with an emphasis in Robotics from the School of Computer Science at Carnegie Mellon.  She is of Iranian heritage and geeks out on new material & fabrication technologies.  She likes tiny robots and would like to visit the Moon (though not yet Mars) in her lifetime.We also want to extend a big thank you to our sponsors this year for supporting our show!Learn more about our Gold Sponsor Multiverse Media, an integrated media company focusing on space exploration, science, and technology, and check out the Cislunar Market Opportunities report produced by NewSpace Global, a Multiverse Media property, for a snapshot and user guide to the players and opportunities ahead for the cislunar economy.  To get your own copy please go to cislunar.report and use coupon code citizen10 for 10% off a single user license.Learn more about our Silver Sponsor the Colorado School of Mines Space Resources Program, a first-of-its-kind interdisciplinary program that offers Certificate, Master of Science, and Ph.D. degrees for professionals around the world interested in the emerging field of extraterrestrial resources here.Support the showSubscribe to our newsletter and follow us on social media!Instagram: @thecelestialcitizenTwitter: @celestialcitznLinkedIn: Celestial CitizenYouTube: @thecelestialcitizen

In this episode we talk with parent Lou Mongello, about the journey to college as a family with his son in 12th grade, and his daughter a first-year student at Carnegie Mellon. Lou talks about the constant conversations they had about college, the massive adjustment of his daughter being away at college (and HIS adjustment, not just hers). He talks about some tips for creating good habits early for success in the classroom and how that first year in college can require tasting some humble pie. He definitely recommends getting help to go through the college admissions process! Lou Mongello is a highly successful entrepreneur and host of WDRRadio.com and can also be found at LouMongello.com.Thank you for joining us today!Please visit us and sign up for our newsletter today! We also welcome your emails and questions at k2c@keystocollege.org.

Episode 264: Serial entrepreneur and venture capitalist Rob Frasca talks about early-stage investing in megatrends from the Internet to Blockchain and Cryptocurrencies. Guest Biography Rob Frasca is a serial entrepreneur, investor, visionary online pioneer and frequent speaker on blockchain and cryptocurrencies. A pioneer and product visionary, Rob founded and brought 3 venture-backed startups, to successful exits, and served as CEO of 4 companies. Rob is widely recognized for creating the first Internet fintech company (GALT Technologies), the Internet's first stock quote and portfolio management service- NETworth, which was eventually acquired by Intuit in 1994 and became Quicken Financial Network. His second startup, an early artificial intelligence company, was acquired by Lycos, the second-most-popular internet portal at the time, where he became VP and General Manager. Frasca's third startup, Affinnova, was acquired by Nielsen in 2014. He is a visionary and online pioneer who has brought over 50 products to market, including one with over 100 million users. Frasca graduated from the Rochester Institute of Technology with a B.S. in Mechanical Engineering and received an MBA/M.S.I.A. from Carnegie Mellon's Tepper School of Business. He is also a decorated U.S. Naval Flight Officer with 18 combat missions. This episode is brought to you by Runnymede Capital Management. Follow me on LinkedIn at https://www.linkedin.com/andywang888. In this episode, you'll learn: An entrepreneur's views getting paid to create value Why Rob is so excited to invest in early stage companies focused on blockchain, crypto, cyber security, and artificial intelligence Make sure you tune in to the end to learn about the benefits of tokenizing a venture capital fund Show notes: http://www.inspiredmoney.fm/264 Find more from our guest: LinkedIn Twitter Mentioned in the episode: www.cosimoventures.com www.cosimox.com https://cosimoy.com/ OODA Loop Books: The Square and the Tower: Networks and Power, from the Freemasons to Facebook by Niall Ferguson Principles: Life and Work by Ray Dalio Boyd: The Fighter Pilot Who Changed the Art of War by Robert Coram Thanks for Listening & Watching! To share your thoughts: Leave a note in the comment section below. Share this show on Twitter or Facebook. Join us at the Inspired Money Makers groups at facebook and LinkedIn To help out the show: Leave an honest review on Apple Podcasts, Podchaser.com, or wherever you listen. Your ratings and reviews really help, and I read each one. Subscribe on Apple Podcasts and YouTube.

How we got here and what needs to happen next with Russia and Ukraine. In the years after the collapse of the Soviet Union, a cohort of young Westerners flocked to Moscow, including many idealists who were eager to support the evolution of a democratic Russia.  Today, Russia is on the other side of the looking-glass, nearing the one-year anniversary of the unprovoked invasion of its neighbor, Ukraine. Russian citizens now find themselves conscripted into a military accused of human rights crimes on the warfront. And at home, the Kremlin's propaganda, brutality, and corruption abound.  If there is a bright, shining light of democracy, Russia is a chilling place far from it.   Today on the show: How did this happen? And what additional policy response is needed as Russia and Ukraine enter their second year of this waking nightmare? Our guest is Sarah Mendelson, a former UN Ambassador, an expert in global development, human rights, and foreign policy, and the head of Carnegie Mellon's Heinz College in Washington, DC. She was also once one of those up-and-comers who moved to Moscow in the early 90s.  Mendelson reminds us that while the world is rightfully focused on protecting Ukrainians, Vladimir Putin's war has also made victims of Russians, and those who advocate on their behalf. This episode featured recordings from the documentary film, "Putin Forever?," courtesy Kirill Nenashev. To learn more about our guest and see the sources we referenced for this episode, visit: https://hnz.cm/consequential   

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