Podcasts about Roomba

On today's 9.12.25 Chidi joins us for Chidi's tweets, app that restricts your access to your social media, twerking meat, interesting things from the Charlie Sheen Documentary, Benson Boone has split with his longtime gf, update on Neyo and his four girlfriends, sources have identified Charlie Kirk's shooter, we played our Chug Wheel game, There was a new space discovery, there was a viral ring camera video and more!

In this episode, Charles (@charlesrockhill), Reed (@reedblackcomics) & Christopher (@chrisopotamia) discuss Crawl (2019), magpies, potato gems, and Roomba names. Follow us: Socials & Email dirtylittlehorrorpodcast@gmail.com Please leave a rating/review if you have a moment. It's a free way to help the show grow! Dirty Little Horror is an LGBT Horror podcast where we try to find the gay subtext and make spooky dick jokes!   Opening instrumental: Karl Casey @ White Bat Audio  

NOW on SPOTIFY!It's time for a new BATMAN #1 y'all and the boys gather round the table to TALK ABOUT IT! Lots of comics this week, a truly unfortunate Roomba story, and some further reflections on the DCU after the Man of Tomorrow news…Comics talked this week: FML #6, Cheetah & Cheshire #2, Poison Ivy #36, Everything Dead & Dying #1, Adventures of Superman: Book of El #1, Closer #1, Maria Llovet's Artificial #1, The War #2, The Adventures of Lumen N #1, Ultimate Spider-Man #18-20, New Gods #7-9, and Batman #1 The Comic Book Podcast is brought to you by Talking Comics (www.talkingcomicbooks.com). The podcast is hosted by Steve Seigh, Bob Reyer, Joey Braccino, Aaron Amos, John Burkle, and Bronwyn Kelly-Seigh who weekly dissect everything comics-related, from breaking news to new releases. Our Instagram handle is @TalkingComicsPodcast and you can email us at podcast@talkingcomicbooks.com.

Meaghan Henderson started off as a litigation attorney in Los Angeles, subsequently joining Snap Inc.'s Trust and Safety operations. She is now Global Head of Privacy at iRobot (makers of the ubiquitous Roomba, a robotic vacuum cleaner).We have gone over the many tasks that Meaghan has managed (and regularly manages) to accomplish as a one-person team: rolling out a full privacy program, raising internal awareness, coordinating with security teams, complying across multiple jurisdictions, and being part of the AI governance committee.References:* Meaghan Henderson on LinkedIn* Generally Accepted Privacy Principles (GAPP)* ISO/IEC 27701 (program maturity over time)* Fair Information Practice Principles (FIPPs)* NIST Privacy Framework* OECD Privacy guidelines* Amazon and iRobot agree to terminate pending acquisition This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Chris Wetere, he's better than a Roomba!Super special episode today: we're joined by prolific Northland creative, physical media lover, and a guy who's 100% not a dick - Mark Kelly.Mark gives us his guide to making a short for the 48Hours film competition, ranks his favourite films of 2025 (so far), and helps us wrestle with our biggest question of the season… is Tom Cruise actually attractive?Watch SuckedIn, listen to Northland Artists Conversation, and check out Five Elements Media.CHAPTERS(00:00:00) Intro(00:01:19) Meet Mark Kelly(00:08:11) What we're watching(00:24:25) 48Hours(01:02:13) Yeah, nah, or yeah nah?(01:19:22) Next episodeLINKSSend us an email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠1978podcast@gmail.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Follow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Letterboxd⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Theme by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stanley Gurvich⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Marriott's Tyler Weeks joins Chad & Cheese to unpack what it's like running HR for a million humans (and possibly a few Roombas). Expect: Ritz-Carlton ghosting Joel harder than his prom date. Why Marriott's HR is basically 9,000 mom-and-pop shops in a trench coat. The shocking discovery that AI doesn't make great recruiters greater—it just stops the bad ones from lighting themselves on fire. CFO ROI math so sketchy it belongs in a late-night infomercial. And the big AI fix for fake résumés and deepfakes? Drag ‘em into the lobby for an old-fashioned, in-person interview. This is hospitality meets HR Tech chaos—and Tyler's got the room service order.

Not trying to Matt Levine you here, but the modern American economy can be perfectly explained in two stories: Taylor Swift's engagement and the new Reese's Oreo. Sign up for our newsletter for more? This week: bangin' sound on your next Alaska flight, the tragedy of Roomba, and televised sports.

アイロボットがフラグシップロボット掃除機「Roomba Max 705 Combo」を8月29日発売　約18万円。　アイロボットジャパンは8月27日、新型のロボット掃除機「Roomba Max 705 Combo ロボット ＋ AutoWash 充電ステーション」を発表した。29日の発売を予定しており、直販価格は17万9800円となる。直販サイトでは「ロボットスマートプラン＋」によるサブスクリプション（レンタル）も受け付けており、その場合は月額7980円で利用可能だ。

Juan March returns with InFab co‑founder Blake Nazario to share how a shop-floor problem became a purpose-built ERP for high-mix job shops. We cover InFab's beginnings, its rebuild for multi‑tenant use, ITAR/GovCloud and CMMC, plus AS9100 tools. Juan also updates us on Jax's growth: a larger facility, a Datron ML Cube, DMG DMC 85 with integrated pallet pool, a new CMM, and an industrial “Roomba.” We wrap with quoting realities, roadmap, and practical lessons on communication and traceability. Check out Juan's IG @jaxmfgInFab's IG @infab.appand learn more about InFab at infab.app-----------------------------------------Help support the podcast www.patreon.com/withintolerancepodcast

This week, a cop shoots himself while getting suspended, the NASS training camp idea, best bars at Area 3, no Jeff won't sell anything, belt rigs and back ups, and much more. Get your "Try Hard" T-shirt!  Subscribe on Patreon to get an extra episode every week! Listen on YouTube! Andy on Instagram - andy.e.605 Jeff on Instagram - jeff_the_monster_king MW Aktiv Wear - mw_aktiv_wear Not Another Shooting Show on Reddit

From rogue Roombas roaming the streets to wild DIY nasal experiments, this episode of The Jubal Show has it all! Join the crew as they check in with hilarious updates from their lives—like crying for free drinks, late-night near-misses, and obsessive neighborhood trash pickup. And yes, Todd might still be on the loose… Will he make it back to his base, or is chaos about to ensue? Tune in for laughs, life hacks, and jaw-dropping moments you won’t want to miss. You can find every podcast we have, including the full show every weekday right here…➡︎ https://thejubalshow.com/podcasts The Jubal Show is everywhere, and also these places: Website ➡︎ https://thejubalshow.com Instagram ➡︎ https://instagram.com/thejubalshow X/Twitter ➡︎ https://twitter.com/thejubalshow Tiktok ➡︎ https://www.tiktok.com/@the.jubal.show Facebook ➡︎ https://facebook.com/thejubalshow YouTube ➡︎ https://www.youtube.com/@JubalFresh Support the show: https://the-jubal-show.beehiiv.com/subscribeSee omnystudio.com/listener for privacy information.

From Nebraska yet currently living in Budapest, young guest Eric had an abrupt awakening with an AI-generated meme acknowledging and subliminally encouraging him to kill himself. Now, working alongside his father Glenn Meder (EP 182) as Chief Operating Officer of their company Privacy Academy, this 26-year-old spends his life helping people gain freedom from scams, unlawful surveillance and deception. In our show, he discusses his own depression and pharmaceutical stint, his feelings on the current state of youth (social decline/influence of gore), personalized AI teachers in China, brainwashing, smart devices (Roomba vacuum), emotional contagion and more.He leads the "Just Be Practice," sharing his beliefs on manifestation and the emotional field.References:https://mic-lock.com/collections/allConnect with Eric:Website: https://privacyacademy.com*Host Eden Koz is a soul realignment specialist utilizing such gifts as psychological empathy, intuition, psychic ability, mediumship, meditation, mindset shift, Reiki, dimensional and galactic healing, to name a few. She can also perform a spiritual Co#id Vac+ Healing as well as remote & face-to-face sessions with individuals and groups. Contact info for Eden Koz / Just Be®, LLC:Website: EdenJustBe.com Socials: Insta, FB, FB (Just Be), LinkedIn Just Be~Spiritual BOOM Podcast can be found on the audio directories: Apple Podcasts, Spotify, Amazon Music, Stitcher, iHeart Radio, TuneIn+Alexa, ...

This week on The Vergecast, the co-founder and former CEO of iRobot, Colin Angle, joins The Verge's smart home reviewer, Jennifer Pattison Tuohy, to discuss what the ideal home robot is. Are we close to creating a Rosie the Robot — an all-in-one humanoid robot that can take care of our homes, or should we take an entirely different approach to home robotics? They dive into the advances in technology powering this shift and ponder what purpose robotics in the home should really serve. Then, Jen takes a journey back into smart home history to help us understand its future. Grant Erickson, Principal of Nuovations, a former Apple, Nest, and Google engineer who was part of the team that developed Thread, joins the show. He shares the story of how and why, back in 2011, the Nest team, led by Tony Faddell and Matt Rogers, decided to create a smart home protocol. It involves a thermostat, fragmented ecosystems, and one of the best smart home products ever made. They discuss how Thread became the foundation of the Matter smart home standard — an unprecedented industry collaboration with a herculean task — to make the smart home simpler. To close out the show, Grant sticks around to help answer a Vergecast hotline question (call 866-VERGE11 or email vergecast@theverge.com) about how Matter manages your data. Further reading: Maybe I don't want a Rosey the Robot after all Amazon left Roomba with a huge mess to clean up Figure will start ‘alpha testing' its humanoid robot in the home in 2025 Amazon Astro review: too much Alexa, not enough arms Samsung is finally releasing Ballie This Pixar-style dancing lamp hints at Apple's future home robot iRobot's founder is working on a new kind of home robot iRobot OS is the newest ‘brain' for your Roomba Amazon bought iRobot to see inside your home I tested a robot vacuum with an arm, and my dog may never forgive me Inside the Nest: iPod creator Tony Fadell wants to reinvent the thermostat Nest CEO Tony Fadell on Google acquisition Fire drill: Can Tony Fadell and Nest build a better smoke detector? How big companies kill ideas — and how to fight back, with Tony Fadell Situation: there are too many competing smart home standards Matter's plan to save the smart home Nest's home security system costs $499 and comes with magnetic door sensors Google says Matter is still set to fix the biggest smart home frustrations Thread is Matter's secret sauce for a better smart home Nanoleaf launches a smart switch after eight years of trying Thread count: Ikea is stitching together a smarter home Why Thread is Matter's biggest problem right now The four changes in Thread 1.4 that could fix the protocol It could be 2026 before all your Thread border routers work together Matter will be better in 2025 — say the people who make it The Nest Learning Thermostat gets its biggest upgrade in over a decade killedbygoogle.com Google's ADT partnership finally has a new home security product to show for it Google discontinues Nest Protect smoke alarm and Nest x Yale door lock Google discontinues its Google Nest Secure alarm system Appliance makers are teaming up to reduce your electricity usage — and save you cash Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week Shannon is back so the boys are all together! We get the FULL breakdown on Shannon's not-so-relaxing vacation, we discuss the Playstation 6, and Justin takes over the Spoiler Zone with Weapons and Together.

This week on The Jubal Show, the crew opens up about personal surprises, party fails, and a missing household hero. From a shock family discovery about going bald, to a birthday boat ride derailed by a lime green Prius, to a Roomba named Todd who mysteriously disappeared — nothing is off the table. Find out why Jubal thinks his robot vacuum may have quit life, how Victoria may officially be the black sheep of the family, and what TikTok-worthy bachelor party moment nearly ended in an airport scandal. You can find every podcast we have, including the full show every weekday right here…➡︎ https://thejubalshow.com/podcasts The Jubal Show is everywhere, and also these places: Website ➡︎ https://thejubalshow.com Instagram ➡︎ https://instagram.com/thejubalshow X/Twitter ➡︎ https://twitter.com/thejubalshow Tiktok ➡︎ https://www.tiktok.com/@the.jubal.show Facebook ➡︎ https://facebook.com/thejubalshow YouTube ➡︎ https://www.youtube.com/@JubalFresh Support the show: https://the-jubal-show.beehiiv.com/subscribeSee omnystudio.com/listener for privacy information.

Summer rewind: Greg Lindsay is an urban tech expert and a Senior Fellow at MIT. He's also a two-time Jeopardy champion and the only human to go undefeated against IBM's Watson. Greg joins thinkenergy to talk about how artificial intelligence (AI) is reshaping how we manage, consume, and produce energy—from personal devices to provincial grids, its rapid growth to the rising energy demand from AI itself. Listen in to learn how AI impacts our energy systems and what it means individually and industry-wide. Related links: ●       Greg Lindsay website: https://greglindsay.org/ ●       Greg Lindsay on LinkedIn: https://www.linkedin.com/in/greg-lindsay-8b16952/ ●       International Energy Agency (IEA): https://www.iea.org/ ●       Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-cem-leed-ap-8b612114/ ●       Hydro Ottawa: https://hydroottawa.com/en    To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405   To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl   To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited   Follow along on Instagram: https://www.instagram.com/hydroottawa   Stay in the know on Facebook: https://www.facebook.com/HydroOttawa   Keep up with the posts on X: https://twitter.com/thinkenergypod --- Transcript: Trevor Freeman  00:00 Hi everyone. Well, summer is here, and the think energy team is stepping back a bit to recharge and plan out some content for the next season. We hope all of you get some much needed downtime as well, but we aren't planning on leaving you hanging over the next few months, we will be re releasing some of our favorite episodes from the past year that we think really highlight innovation, sustainability and community. These episodes highlight the changing nature of how we use and manage energy, and the investments needed to expand, modernize and strengthen our grid in response to that. All of this driven by people and our changing needs and relationship to energy as we move forward into a cleaner, more electrified future, the energy transition, as we talk about many times on this show. Thanks so much for listening, and we'll be back with all new content in September. Until then, happy listening.   Trevor Freeman  00:55 Welcome to think energy, a podcast that dives into the fast changing world of energy through conversations with industry leaders, innovators and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional and up and coming facets of the energy industry. If you have any thoughts feedback or ideas for topics we should cover, please reach out to us at think energy at hydro ottawa.com, Hi everyone. Welcome back. Artificial intelligence, or AI, is a term that you're likely seeing and hearing everywhere today, and with good reason, the effectiveness and efficiency of today's AI, along with the ever increasing applications and use cases mean that in just the past few years, AI went from being a little bit fringe, maybe a little bit theoretical to very real and likely touching everyone's day to day lives in ways that we don't even notice, and we're just at the beginning of what looks to be a wave of many different ways that AI will shape and influence our society and our lives in the years to come. And the world of energy is no different. AI has the potential to change how we manage energy at all levels, from our individual devices and homes and businesses all the way up to our grids at the local, provincial and even national and international levels. At the same time, AI is also a massive consumer of energy, and the proliferation of AI data centers is putting pressure on utilities for more and more power at an unprecedented pace. But before we dive into all that, I also think it will be helpful to define what AI is. After all, the term isn't new. Like me, many of our listeners may have grown up hearing about Skynet from Terminator, or how from 2001 A Space Odyssey, but those malignant, almost sentient versions of AI aren't really what we're talking about here today. And to help shed some light on both what AI is as well as what it can do and how it might influence the world of energy, my guest today is Greg Lindsay, to put it in technical jargon, Greg's bio is super neat, so I do want to take time to run through it properly. Greg is a non resident Senior Fellow of MIT's future urban collectives lab Arizona State University's threat casting lab and the Atlantic Council's Scowcroft center for strategy and security. Most recently, he was a 2022-2023 urban tech Fellow at Cornell Tech's Jacobs Institute, where he explored the implications of AI and augmented reality at an urban scale. Previously, he was an urbanist in resident, which is a pretty cool title, at BMW minis urban tech accelerator, urban X, as well as the director of Applied Research at Montreal's new cities and Founding Director of Strategy at its mobility focused offshoot, co motion. He's advised such firms as Intel, Samsung, Audi, Hyundai, IKEA and Starbucks, along with numerous government entities such as 10 Downing Street, us, Department of Energy and NATO. And finally, and maybe coolest of all, Greg is also a two time Jeopardy champion and the only human to go undefeated against IBM's Watson. So on that note, Greg Lindsey, welcome to the show.   Greg Lindsay  04:14 Great to be here. Thanks for having me. Trevor,   Trevor Freeman  04:16 So Greg, we're here to talk about AI and the impacts that AI is going to have on energy, but AI is a bit of one of those buzzwords that we hear out there in a number of different spheres today. So let's start by setting the stage of what exactly we're talking about. So what do we mean when we say AI or artificial intelligence?   Speaker 1  04:37 Well, I'd say the first thing to keep in mind is that it is neither artificial nor intelligence. It's actually composites of many human hands making it. And of course, it's not truly intelligent either. I think there's at least two definitions for the layman's purposes. One is statistical machine learning. You know that is the previous generation of AI, we could say, doing deep, deep statistical analysis, looking for patterns fitting to. Patterns doing prediction. There's a great book, actually, by some ut professors at monk called prediction machines, which that was a great way of thinking about machine learning and sense of being able to do large scale prediction at scale. And that's how I imagine hydro, Ottawa and others are using this to model out network efficiencies and predictive maintenance and all these great uses. And then the newer, trendier version, of course, is large language models, your quads, your chat gpts, your others, which are based on transformer models, which is a whole series of work that many Canadians worked on, including Geoffrey Hinton and others. And this is what has produced the seemingly magical abilities to produce text and images on demand and large scale analysis. And that is the real power hungry beast that we think of as AI today.   Trevor Freeman  05:42 Right! So different types of AI. I just want to pick those apart a little bit. When you say machine learning, it's kind of being able to repetitively look at something or a set of data over and over and over again. And because it's a computer, it can do it, you know, 1000s or millions of times a second, and learn what, learn how to make decisions based on that. Is that fair to say?   Greg Lindsay  06:06 That's fair to say. And the thing about that is, is like you can train it on an output that you already know, large language models are just vomiting up large parts of pattern recognition, which, again, can feel like magic because of our own human brains doing it. But yeah, machine learning, you can, you know, you can train it to achieve outcomes. You can overfit the models where it like it's trained too much in the past, but, yeah, it's a large scale probabilistic prediction of things, which makes it so powerful for certain uses.   Trevor Freeman  06:26 Yeah, one of the neatest explanations or examples I've seen is, you know, you've got these language models where it seems like this AI, whether it's chat, DBT or whatever, is writing really well, like, you know, it's improving our writing. It's making things sound better. And it seems like it's got a brain behind it, but really, what it's doing is it's going out there saying, What have millions or billions of other people written like this? And how can I take the best things of that? And it can just do that really quickly, and it's learned that that model, so that's super helpful to understand what we're talking about here. So obviously, in your work, you look at the impact of AI on a number of different aspects of our world, our society. What we're talking about here today is particularly the impact of AI when it comes to energy. And I'd like to kind of bucketize our conversation a little bit today, and the first area I want to look at is, what will ai do when it comes to energy for the average Canadian? Let's say so in my home, in my business, how I move around? So I'll start with that. It's kind of a high level conversation. Let's start talking about the different ways that AI will impact you know that our average listener here?   Speaker 1  07:41 Um, yeah, I mean, we can get into a discussion about what it means for the average Canadian, and then also, of course, what it means for Canada in the world as well, because I just got back from South by Southwest in Austin, and, you know, for the second, third year in row, AI was on everyone's lips. But really it's the energy. Is the is the bottleneck. It's the forcing factor. Everyone talked about it, the fact that all the data centers we can get into that are going to be built in the direction of energy. So, so, yeah, energy holds the key to the puzzle there. But, um, you know, from the average gain standpoint, I mean, it's a question of, like, how will these tools actually play out, you know, inside of the companies that are using this, right? And that was a whole other discussion too. It's like, okay, we've been playing around with these tools for two, three years now, what do they actually use to deliver value of your large language model? So I've been saying this for 10 years. If you look at the older stuff you could start with, like smart thermostats, even look at the potential savings of this, of basically using machine learning to optimize, you know, grid optimize patterns of usage, understanding, you know, the ebbs and flows of the grid, and being able to, you know, basically send instructions back and forth. So you know there's stats. You know that, basically you know that you know you could save 10 to 25% of electricity bills. You know, based on this, you could reduce your heating bills by 10 to 15% again, it's basically using this at very large scales of the scale of hydro Ottawa, bigger, to understand this sort of pattern usage. But even then, like understanding like how weather forecasts change, and pulling that data back in to basically make fine tuning adjustments to the thermostats and things like that. So that's one stands out. And then, you know, we can think about longer term. I mean, yeah, lots have been lots has been done on imagining, like electric mobility, of course, huge in Canada, and what that's done to sort of change the overall energy mix virtual power plants. This is something that I've studied, and we've been writing about at Fast Company. At Fast Company beyond for 20 years, imagining not just, you know, the ability to basically, you know, feed renewable electricity back into the grid from people's solar or from whatever sources they have there, but the ability of utilities to basically go in and fine tune, to have that sort of demand shaping as well. And then I think the most interesting stuff, at least in demos, and also blockchain, which has had many theoretical uses, and I've got to see a real one. But one of the best theoretical ones was being able to create neighborhood scale utilities. Basically my cul de sac could have one, and we could trade clean electrons off of our solar panels through our batteries and home scale batteries, using Blockchain to basically balance this out. Yeah, so there's lots of potential, but yeah, it comes back to the notion of people want cheaper utility bills. I did this piece 10 years ago for the Atlantic Council on this we looked at a multi country survey, and the only reason anybody wanted a smart home, which they just were completely skeptical about, was to get those cheaper utility bills. So people pay for that.   Trevor Freeman  10:19 I think it's an important thing to remember, obviously, especially for like the nerds like me, who part of my driver is, I like that cool new tech. I like that thing that I can play with and see my data. But for most people, no matter what we're talking about here, when it comes to that next technology, the goal is make my life a little bit easier, give me more time or whatever, and make things cheaper. And I think especially in the energy space, people aren't putting solar panels on their roof because it looks great. And, yeah, maybe people do think it looks great, but they're putting it up there because they want cheaper electricity. And it's going to be the same when it comes to batteries. You know, there's that add on of resiliency and reliability, but at the end of the day, yeah, I want my bill to be cheaper. And what I'm hearing from you is some of the things we've already seen, like smart thermostats get better as AI gets better. Is that fair to say?   Greg Lindsay  11:12 Well, yeah, on the machine learning side, that you know, you get ever larger data points. This is why data is the coin of the realm. This is why there's a race to collect data on everything. Is why every business model is data collection and everything. Because, yes, not only can they get better, but of course, you know, you compile enough and eventually start finding statistical inferences you never meant to look for. And this is why I've been involved. Just as a side note, for example, of cities that have tried to implement their own data collection of electric scooters and eventually electric vehicles so they could understand these kinds of patterns, it's really the key to anything. And so it's that efficiency throughput which raises some really interesting philosophical questions, particularly about AI like, this is the whole discussion on deep seek. Like, if you make the models more efficient, do you have a Jevons paradox, which is the paradox of, like, the more energy you save through efficiency, the more you consume because you've made it cheaper. So what does this mean that you know that Canadian energy consumption is likely to go up the cleaner and cheaper the electrons get. It's one of those bedeviling sort of functions.   Trevor Freeman  12:06 Yeah interesting. That's definitely an interesting way of looking at it. And you referenced this earlier, and I will talk about this. But at the macro level, the amount of energy needed for these, you know, AI data centers in order to do all this stuff is, you know, we're seeing that explode.   Greg Lindsay  12:22 Yeah, I don't know that. Canadian statistics my fingertips, but I brought this up at Fast Company, like, you know, the IEA, I think International Energy Agency, you know, reported a 4.3% growth in the global electricity grid last year, and it's gonna be 4% this year. That does not sound like much. That is the equivalent of Japan. We're adding in Japan every year to the grid for at least the next two to three years. Wow. And that, you know, that's global South, air conditioning and other needs here too, but that the data centers on top is like the tip of the spear. It's changed all this consumption behavior, where now we're seeing mothballed coal plants and new plants and Three Mile Island come back online, as this race for locking up electrons, for, you know, the race to build God basically, the number of people in AI who think they're literally going to build weekly godlike intelligences, they'll, they won't stop at any expense. And so they will buy as much energy as they can get.   Trevor Freeman  13:09 Yeah, well, we'll get to that kind of grid side of things in a minute. Let's stay at the home first. So when I look at my house, we talked about smart thermostats. We're seeing more and more automation when it comes to our homes. You know, we can program our lights and our door locks and all this kind of stuff. What does ai do in order to make sure that stuff is contributing to efficiency? So I want to do all those fun things, but use the least amount of energy possible.   Greg Lindsay  13:38 Well, you know, I mean, there's, again, there's various metrics there to basically, sort of, you know, program your lights. And, you know, Nest is, you know, Google. Nest is an example of this one, too, in terms of basically learning your ebb and flow and then figuring out how to optimize it over the course of the day. So you can do that, you know, we've seen, again, like the home level. We've seen not only the growth in solar panels, but also in those sort of home battery integration. I was looking up that Tesla Powerwall was doing just great in Canada, until the last couple of months. I assume so, but I it's been, it's been heartening to see that, yeah, this sort of embrace of home energy integration, and so being able to level out, like, peak flow off the grid, so Right? Like being able to basically, at moments of peak demand, to basically draw on your own local resources and reduce that overall strain. So there's been interesting stuff there. But I want to focus for a moment on, like, terms of thinking about new uses. Because, you know, again, going back to how AI will influence the home and automation. You know, Jensen Wong of Nvidia has talked about how this will be the year of robotics. Google, Gemini just applied their models to robotics. There's startups like figure there's, again, Tesla with their optimists, and, yeah, there's a whole strain of thought that we're about to see, like home robotics, perhaps a dream from like, the 50s. I think this is a very Disney World esque Epcot Center, yeah, with this idea of jetsy, yeah, of having home robots doing work. You can see concept videos a figure like doing the actual vacuuming. I mean, we invented Roombas to this, but, but it also, I, you know, I've done a lot of work. Our own thinking around electric delivery vehicles. We could talk a lot about drones. We could talk a lot about the little robots that deliver meals on the sidewalk. There's a lot of money in business models about increasing access and people needing to maybe move less, to drive and do all these trips to bring it to them. And that's a form of home automation, and that's all batteries. That is all stuff off the grid too. So AI is that enable those things, these things that can think and move and fly and do stuff and do services on your behalf, and so people might find this huge new source of demand from that as well.   Trevor Freeman  15:29 Yeah, that's I hadn't really thought about the idea that all the all these sort of conveniences and being able to summon them to our homes cause us to move around less, which also impacts transportation, which is another area I kind of want to get to. And I know you've, you've talked a little bit about E mobility, so where do you see that going? And then, how does AI accelerate that transition, or accelerate things happening in that space?   Greg Lindsay  15:56 Yeah, I mean, I again, obviously the EV revolutions here Canada like, one of the epicenters Canada, Norway there, you know, that still has the vehicle rebates and things. So, yeah. I mean, we've seen, I'm here in Montreal, I think we've got, like, you know, 30 to 13% of sales is there, and we've got our 2035, mandate. So, yeah. I mean, you see this push, obviously, to harness all of Canada's clean, mostly hydro electricity, to do this, and, you know, reduce its dependence on fossil fuels for either, you know, Climate Change Politics reasons, but also just, you know, variable energy prices. So all of that matters. But, you know, I think the key to, like the electric mobility revolution, again, is, is how it's going to merge with AI and it's, you know, it's not going to just be the autonomous, self driving car, which is sort of like the horseless carriage of autonomy. It's gonna be all this other stuff, you know. My friend Dan Hill was in China, and he was thinking about like, electric scooters, you know. And I mentioned this to hydro Ottawa, like, the electric scooter is one of the leading causes of how we've taken internal combustion engine vehicles offline across the world, mostly in China, and put people on clean electric motors. What happens when you take those and you make those autonomous, and you do it with, like, deep seek and some cameras, and you sort of weld it all together so you could have a world of a lot more stuff in motion, and not just this world where we have to drive as much. And that, to me, is really exciting, because that changes, like urban patterns, development patterns, changes how you move around life, those kinds of things as well. That's that might be a little farther out, but, but, yeah, this sort of like this big push to build out domestic battery industries, to build charging points and the sort of infrastructure there, I think it's going to go in direction, but it doesn't look anything like, you know, a sedan or an SUV that just happens to be electric.   Trevor Freeman  17:33 I think that's a the step change is change the drive train of the existing vehicles we have, you know, an internal combustion to a battery. The exponential change is exactly what you're saying. It's rethinking this.   Greg Lindsay  17:47 Yeah, Ramesam and others have pointed out, I mean, again, like this, you know, it's, it's really funny to see this pushback on EVs, you know. I mean, I love a good, good roar of an internal combustion engine myself, but, but like, you know, Ramesam was an energy analyst, has pointed out that, like, you know, EVS were more cost competitive with ice cars in 2018 that's like, nearly a decade ago. And yeah, the efficiency of electric motors, particularly regenerative braking and everything, it just blows the cost curves away of ice though they will become the equivalent of keeping a thorough brat around your house kind of thing. Yeah, so, so yeah, it's just, it's that overall efficiency of the drive train. And that's the to me, the interesting thing about both electric motors, again, of autonomy is like, those are general purpose technologies. They get cheaper and smaller as they evolve under Moore's Law and other various laws, and so they get to apply to more and more stuff.   Trevor Freeman  18:32 Yeah. And then when you think about once, we kind of figure that out, and we're kind of already there, or close to it, if not already there, then it's opening the door to those other things you're talking about. Of, well, do we, does everybody need to have that car in their driveway? Are we rethinking how we're actually just doing transportation in general? And do we need a delivery truck? Or can it be delivery scooter? Or what does that look like?   Greg Lindsay  18:54 Well, we had a lot of those discussions for a long time, particularly in the mobility space, right? Like, and like ride hailing, you know, like, oh, you know, that was always the big pitch of an Uber is, you know, your car's parked in your driveway, like 94% of the time. You know, what happens if you're able to have no mobility? Well, we've had 15 years of Uber and these kinds of services, and we still have as many cars. But people are also taking this for mobility. It's additive. And I raised this question, this notion of like, it's just sort of more and more, more options, more availability, more access. Because the same thing seems to be going on with energy now too. You know, listeners been following along, like the conversation in Houston, you know, a week or two ago at Sarah week, like it's the whole notion of energy realism. And, you know, there's the new book out, more is more is more, which is all about the fact that we've never had an energy transition. We just kept piling up. Like the world burned more biomass last year than it did in 1900 it burned more coal last year than it did at the peak of coal. Like these ages don't really end. They just become this sort of strata as we keep piling energy up on top of it. And you know, I'm trying to sound the alarm that we won't have an energy transition. What that means for climate change? But similar thing, it's. This rebound effect, the Jevons paradox, named after Robert Stanley Jevons in his book The question of coal, where he noted the fact that, like, England was going to need more and more coal. So it's a sobering thought. But, like, I mean, you know, it's a glass half full, half empty in many ways, because the half full is like increasing technological options, increasing changes in lifestyle. You can live various ways you want, but, but, yeah, it's like, I don't know if any of it ever really goes away. We just get more and more stuff,   Trevor Freeman  20:22 Exactly, well. And, you know, to hear you talk about the robotics side of things, you know, looking at the home, yeah, more, definitely more. Okay, so we talked about kind of home automation. We've talked about transportation, how we get around. What about energy management? And I think about this at the we'll talk about the utility side again in a little bit. But, you know, at my house, or for my own personal use in my life, what is the role of, like, sort of machine learning and AI, when it comes to just helping me manage my own energy better and make better decisions when it comes to energy? ,   Greg Lindsay  20:57 Yeah, I mean, this is where it like comes in again. And you know, I'm less and less of an expert here, but I've been following this sort of discourse evolve. And right? It's the idea of, you know, yeah, create, create. This the set of tools in your home, whether it's solar panels or batteries or, you know, or Two Way Direct, bi directional to the grid, however it works. And, yeah, and people, you know, given this option of savings, and perhaps, you know, other marketing messages there to curtail behavior. You know? I mean, I think the short answer the question is, like, it's an app people want, an app that tell them basically how to increase the efficiency of their house or how to do this. And I should note that like, this has like been the this is the long term insight when it comes to like energy and the clean tech revolution. Like my Emery Levin says this great line, which I've always loved, which is, people don't want energy. They want hot showers and cold beer. And, you know, how do you, how do you deliver those things through any combination of sticks and carrots, basically like that. So, So, hence, why? Like, again, like, you know, you know, power walls, you know, and, and, and, you know, other sort of AI controlled batteries here that basically just sort of smooth out to create the sort of optimal flow of electrons into your house, whether that's coming drive directly off the grid or whether it's coming out of your backup and then recharging that the time, you know, I mean, the surveys show, like, more than half of Canadians are interested in this stuff, you know, they don't really know. I've got one set here, like, yeah, 61% are interested in home energy tech, but only 27 understand, 27% understand how to optimize them. So, yeah. So people need, I think, perhaps, more help in handing that over. And obviously, what's exciting for the, you know, the utility level is, like, you know, again, aggregate all that individual behavior together and you get more models that, hope you sort of model this out, you know, at both greater scale and ever more fine grained granularity there. So, yeah, exactly. So I think it's really interesting, you know, I don't know, like, you know, people have gamified it. What was it? I think I saw, like, what is it? The affordability fund trust tried to basically gamify AI energy apps, and it created various savings there. But a lot of this is gonna be like, as a combination like UX design and incentives design and offering this to people too, about, like, why you should want this and money's one reason, but maybe there's others.   Trevor Freeman  22:56 Yeah, and we talk about in kind of the utility sphere, we talk about how customers, they don't want all the data, and then have to go make their own decisions. They want those decisions to be made for them, and they want to say, look, I want to have you tell me the best rate plan to be on. I want to have you automatically switch me to the best rate plan when my consumption patterns change and my behavior chat patterns change. That doesn't exist today, but sort of that fast decision making that AI brings will let that become a reality sometime in the future,   Greg Lindsay  23:29 And also in theory, this is where LLMs come into play. Is like, you know, to me, what excites me the most about that is the first time, like having a true natural language interface, like having being able to converse with an, you know, an AI, let's hopefully not chat bot. I think we're moving out on chat bots, but some sort of sort of instantiation of an AI to be like, what plan should I be on? Can you tell me what my behavior is here and actually having some sort of real language conversation with it? Not decision trees, not event statements, not chat bots.   Trevor Freeman  23:54 Yeah, absolutely. Okay, so we've kind of teased around this idea of looking at the utility levels, obviously, at hydro Ottawa, you referenced this just a minute ago. We look at all these individual cases, every home that has home automation or solar storage, and we want to aggregate that and understand what, what can we do to help manage the grid, help manage all these new energy needs, shift things around. So let's talk a little bit about the role that AI can play at the utility scale in helping us manage the grid.   Greg Lindsay  24:28 All right? Well, yeah, there's couple ways to approach it. So one, of course, is like, let's go back to, like, smart meters, right? Like, and this is where I don't know how many hydro Ottawa has, but I think, like, BC Hydro has like, 2 million of them, sometimes they get politicized, because, again, this gets back to this question of, like, just, just how much nanny state you want. But, you know, you know, when you reach the millions, like, yeah, you're able to get that sort of, you know, obviously real time, real time usage, real time understanding. And again, if you can do that sort of grid management piece where you can then push back, it's visual game changer. But, but yeah. I mean, you know, yeah, be. See hydro is pulling in. I think I read like, like, basically 200 million data points a day. So that's a lot to train various models on. And, you know, I don't know exactly the kind of savings they have, but you can imagine there, whether it's, you know, them, or Toronto Hydro, or hydro Ottawa and others creating all these monitoring points. And again, this is the thing that bedells me, by the way, just philosophically about modern life, the notion of like, but I don't want you to be collecting data off me at all times, but look at what you can do if you do It's that constant push pull of some sort of combination of privacy and agency, and then just the notion of like statistics, but, but there you are, but, but, yeah, but at the grid level, then I mean, like, yeah. I mean, you can sort of do the same thing where, like, you know, I mean, predictive maintenance is the obvious one, right? I have been writing about this for large enterprise software companies for 20 years, about building these data points, modeling out the lifetime of various important pieces equipment, making sure you replace them before you have downtime and terrible things happen. I mean, as we're as we're discussing this, look at poor Heathrow Airport. I am so glad I'm not flying today, electrical substation blowing out two days of the world's most important hub offline. So that's where predictive maintenance comes in from there. And, yeah, I mean, I, you know, I again, you know, modeling out, you know, energy flow to prevent grid outages, whether that's, you know, the ice storm here in Quebec a couple years ago. What was that? April 23 I think it was, yeah, coming up in two years. Or our last ice storm, we're not the big one, but that one, you know, where we had big downtime across the grid, like basically monitoring that and then I think the other big one for AI is like, Yeah, is this, this notion of having some sort of decision support as well, too, and sense of, you know, providing scenarios and modeling out at scale the potential of it? And I don't think, I don't know about this in a grid case, but the most interesting piece I wrote for Fast Company 20 years ago was an example, ago was an example of this, which was a fledgling air taxi startup, but they were combining an agent based model, so using primitive AI to create simple rules for individual agents and build a model of how they would behave, which you can create much more complex models. Now we could talk about agents and then marrying that to this kind of predictive maintenance and operations piece, and marrying the two together. And at that point, you could have a company that didn't exist, but that could basically model itself in real time every day in the life of what it is. You can create millions and millions and millions of Monte Carlo operations. And I think that's where perhaps both sides of AI come together truly like the large language models and agents, and then the predictive machine learning. And you could basically hydro or others, could build this sort of deep time machine where you can model out all of these scenarios, millions and millions of years worth, to understand how it flows and contingencies as well. And that's where it sort of comes up. So basically something happens. And like, not only do you have a set of plans, you have an AI that has done a million sets of these plans, and can imagine potential next steps of this, or where to deploy resources. And I think in general, that's like the most powerful use of this, going back to prediction machines and just being able to really model time in a way that we've never had that capability before. And so you probably imagine the use is better than I.   Trevor Freeman  27:58 Oh man, it's super fascinating, and it's timely. We've gone through the last little while at hydro Ottawa, an exercise of updating our playbook for emergencies. So when there are outages, what kind of outage? What's the sort of, what are the trigger points to go from, you know, what we call a level one to a level two to level three. But all of this is sort of like people hours that are going into that, and we're thinking through these scenarios, and we've got a handful of them, and you're just kind of making me think, well, yeah, what if we were able to model that out? And you bring up this concept of agents, let's tease into that a little bit explain what you mean when you're talking about agents.   Greg Lindsay  28:36 Yeah, so agentic systems, as the term of art is, AI instantiations that have some level of autonomy. And the archetypal example of this is the Stanford Smallville experiment, where they took basically a dozen large language models and they gave it an architecture where they could give it a little bit of backstory, ruminate on it, basically reflect, think, decide, and then act. And in this case, they used it to plan a Valentine's Day party. So they played out real time, and the LLM agents, like, even played matchmaker. They organized the party, they sent out invitations, they did these sorts of things. Was very cute. They put it out open source, and like, three weeks later, another team of researchers basically put them to work writing software programs. So you can see they organized their own workflow. They made their own decisions. There was a CTO. They fact check their own work. And this is evolving into this grand vision of, like, 1000s, millions of agents, just like, just like you spin up today an instance of Amazon Web Services to, like, host something in the cloud. You're going to spin up an agent Nvidia has talked about doing with healthcare and others. So again, coming back to like, the energy implications of that, because it changes the whole pattern. Instead of huge training runs requiring giant data centers. You know, it's these agents who are making all these calls and doing more stuff at the edge, but, um, but yeah, in this case, it's the notion of, you know, what can you put the agents to work doing? And I bring this up again, back to, like, predictive maintenance, or for hydro Ottawa, there's another amazing paper called virtual in real life. And I chatted with one of the principal authors. It created. A half dozen agents who could play tour guide, who could direct you to a coffee shop, who do these sorts of things, but they weren't doing it in a virtual world. They were doing it in the real one. And to do it in the real world, you took the agent, you gave them a machine vision capability, so added that model so they could recognize objects, and then you set them loose inside a digital twin of the world, in this case, something very simple, Google Street View. And so in the paper, they could go into like New York Central Park, and they could count every park bench and every waste bin and do it in seconds and be 99% accurate. And so agents were monitoring the landscape. Everything's up, because you can imagine this in the real world too, that we're going to have all the time. AIS roaming the world, roaming these virtual maps, these digital twins that we build for them and constantly refresh from them, from camera data, from sensor data, from other stuff, and tell us what this is. And again, to me, it's really exciting, because that's finally like an operating system for the internet of things that makes sense, that's not so hardwired that you can ask agents, can you go out and look for this for me? Can you report back on this vital system for me? And they will be able to hook into all of these kinds of representations of real time data where they're emerging from, and give you aggregated reports on this one. And so, you know, I think we have more visibility in real time into the real world than we've ever had before.   Trevor Freeman  31:13 Yeah, I want to, I want to connect a few dots here for our listeners. So bear with me for a second. Greg. So for our listeners, there was a podcast episode we did about a year ago on our grid modernization roadmap, and we talked about one of the things we're doing with grid modernization at hydro Ottawa and utilities everywhere doing this is increasing the sensor data from our grid. So we're, you know, right now, we've got visibility sort of to our station level, sometimes one level down to some switches. But in the future, we'll have sensors everywhere on our grid, every switch, every device on our grid, will have a sensor gathering data. Obviously, you know, like you said earlier, millions and hundreds of millions of data points every second coming in. No human can kind of make decisions on that, and what you're describing is, so now we've got all this data points, we've got a network of information out there, and you could create this agent to say, Okay, you are. You're my transformer agent. Go out there and have a look at the run temperature of every transformer on the network, and tell me where the anomalies are, which ones are running a half a degree or two degrees warmer than they should be, and report back. And now I know hydro Ottawa, that the controller, the person sitting in the room, knows, Hey, we should probably go roll a truck and check on that transformer, because maybe it's getting end of life. Maybe it's about to go and you can do that across the entire grid. That's really fascinating,   Greg Lindsay  32:41 And it's really powerful, because, I mean, again, these conversations 20 years ago at IoT, you know you're going to have statistical triggers, and you would aggregate these data coming off this, and there was a lot of discussion there, but it was still very, like hardwired, and still very Yeah, I mean, I mean very probabilistic, I guess, for a word that went with agents like, yeah, you've now created an actual thing that can watch those numbers and they can aggregate from other systems. I mean, lots, lots of potential there hasn't quite been realized, but it's really exciting stuff. And this is, of course, where that whole direction of the industry is flowing. It's on everyone's lips, agents.   Trevor Freeman  33:12 Yeah. Another term you mentioned just a little bit ago that I want you to explain is a digital twin. So tell us what a digital twin is.   Greg Lindsay  33:20 So a digital twin is, well, the matrix. Perhaps you could say something like this for listeners of a certain age, but the digital twin is the idea of creating a model of a piece of equipment, of a city, of the world, of a system. And it is, importantly, it's physics based. It's ideally meant to represent and capture the real time performance of the physical object it's based on, and in this digital representation, when something happens in the physical incarnation of it, it triggers a corresponding change in state in the digital twin, and then vice versa. In theory, you know, you could have feedback loops, again, a lot of IoT stuff here, if you make changes virtually, you know, perhaps it would cause a change in behavior of the system or equipment, and the scales can change from, you know, factory equipment. Siemens, for example, does a lot of digital twin work on this. You know, SAP, big, big software companies have thought about this. But the really crazy stuff is, like, what Nvidia is proposing. So first they started with a digital twin. They very modestly called earth two, where they were going to model all the weather and climate systems of the planet down to like the block level. There's a great demo of like Jensen Wong walking you through a hurricane, typhoons striking the Taipei, 101, and how, how the wind currents are affecting the various buildings there, and how they would change that more recently, what Nvidia is doing now is, but they just at their big tech investor day, they just partner with General Motors and others to basically do autonomous cars. And what's crucial about it, they're going to train all those autonomous vehicles in an NVIDIA built digital twin in a matrix that will act, that will be populated by agents that will act like people, people ish, and they will be able to run millions of years of autonomous vehicle training in this and this is how they plan to catch up to. Waymo or, you know, if Tesla's robotaxis are ever real kind of thing, you know, Waymo built hardwired like trained on real world streets, and that's why they can only operate in certain operating domain environments. Nvidia is gambling that with large language models and transformer models combined with digital twins, you can do these huge leapfrog effects where you can basically train all sorts of synthetic agents in real world behavior that you have modeled inside the machine. So again, that's the kind, that's exactly the kind of, you know, environment that you're going to train, you know, your your grid of the future on for modeling out all your contingency scenarios.   Trevor Freeman  35:31 Yeah, again, you know, for to bring this to the to our context, a couple of years ago, we had our the direcco. It's a big, massive windstorm that was one of the most damaging storms that we've had in Ottawa's history, and we've made some improvements since then, and we've actually had some great performance since then. Imagine if we could model that derecho hitting our grid from a couple different directions and figure out, well, which lines are more vulnerable to wind speeds, which lines are more vulnerable to flying debris and trees, and then go address that and do something with that, without having to wait for that storm to hit. You know, once in a decade or longer, the other use case that we've talked about on this one is just modeling what's happening underground. So, you know, in an urban environments like Ottawa, like Montreal, where you are, there's tons of infrastructure under the ground, sewer pipes, water pipes, gas lines, electrical lines, and every time the city wants to go and dig up a road and replace that road, replace that sewer, they have to know what's underground. We want to know what's underground there, because our infrastructure is under there. As the electric utility. Imagine if you had a model where you can it's not just a map. You can actually see what's happening underground and determine what makes sense to go where, and model out these different scenarios of if we underground this line or that line there. So lots of interesting things when it comes to a digital twin. The digital twin and Agent combination is really interesting as well, and setting those agents loose on a model that they can play with and understand and learn from. So talk a little bit about.   Greg Lindsay  37:11 that. Yeah. Well, there's a couple interesting implications just the underground, you know, equipment there. One is interesting because in addition to, like, you know, you know, having captured that data through mapping and other stuff there, and having agents that could talk about it. So, you know, next you can imagine, you know, I've done some work with augmented reality XR. This is sort of what we're seeing again, you know, meta Orion has shown off their concept. Google's brought back Android XR. Meta Ray Bans are kind of an example of this. But that's where this data will come from, right? It's gonna be people wearing these wearables in the world, capturing all this camera data and others that's gonna be fed into these digital twins to refresh them. Meta has a particularly scary demo where you know where you the user, the wearer leaves their keys on their coffee table and asks metas, AI, where their coffee where their keys are, and it knows where they are. It tells them and goes back and shows them some data about it. I'm like, well, to do that, meta has to have a complete have a complete real time map of your entire house. What could go wrong. And that's what all these companies aspire to of reality. So, but yeah, you can imagine, you know, you can imagine a worker. And I've worked with a startup out of urban X, a Canada startup, Canadian startup called context steer. And you know, is the idea of having real time instructions and knowledge manuals available to workers, particularly predictive maintenance workers and line workers. So you can imagine a technician dispatched to deal with this cut in the pavement and being able to see with XR and overlay of like, what's actually under there from the digital twin, having an AI basically interface with what's sort of the work order, and basically be your assistant that can help you walk you through it, in case, you know, you run into some sort of complication there, hopefully that won't be, you know, become like, turn, turn by turn, directions for life that gets into, like, some of the questions about what we wanted out of our workforce. But there's some really interesting combinations of those things, of like, you know, yeah, mapping a world for AIS, ais that can understand it, that could ask questions in it, that can go probe it, that can give you advice on what to do in it. All those things are very close for good and for bad.   Trevor Freeman  39:03 You kind of touched on my next question here is, how do we make sure this is all in the for good or mostly in the for good category, and not the for bad category you talk in one of the papers that you wrote about, you know, AI and augmented reality in particular, really expanding the attack surface for malicious actors. So we're creating more opportunities for whatever the case may be, if it's hacking or if it's malware, or if it's just, you know, people that are up to nefarious things. How do we protect against that? How do we make sure that our systems are safe that the users of our system. So in our case, our customers, their data is safe, their the grid is safe. How do we make sure that?   Greg Lindsay  39:49 Well, the very short version is, whatever we're spending on cybersecurity, we're not spending enough. And honestly, like everybody who is no longer learning to code, because we can be a quad or ChatGPT to do it, I. Is probably there should be a whole campaign to repurpose a big chunk of tech workers into cybersecurity, into locking down these systems, into training ethical systems. There's a lot of work to be done there. But yeah, that's been the theme for you know that I've seen for 10 years. So that paper I mentioned about sort of smart homes, the Internet of Things, and why people would want a smart home? Well, yeah, the reason people were skeptical is because they saw it as basically a giant attack vector. My favorite saying about this is, is, there's a famous Arthur C Clarke quote that you know, any sufficiently advanced technology is magic Tobias Ravel, who works at Arup now does their head of foresight has this great line, any sufficiently advanced hacking will feel like a haunting meaning. If you're in a smart home that's been hacked, it will feel like you're living in a haunted house. Lights will flicker on and off, and systems will turn and go haywire. It'll be like you're living with a possessed house. And that's true of cities or any other systems. So we need to do a lot of work on just sort of like locking that down and securing that data, and that is, you know, we identified, then it has to go all the way up and down the supply chain, like you have to make sure that there is, you know, a chain of custody going back to when components are made, because a lot of the attacks on nest, for example. I mean, you want to take over a Google nest, take it off the wall and screw the back out of it, which is a good thing. It's not that many people are prying open our thermostats, but yeah, if you can get your hands on it, you can do a lot of these systems, and you can do it earlier in the supply chain and sorts of infected pieces and things. So there's a lot to be done there. And then, yeah, and then, yeah, and then there's just a question of, you know, making sure that the AIs are ethically trained and reinforced. And, you know, a few people want to listeners, want to scare themselves. You can go out and read some of the stuff leaking out of anthropic and others and make clot of, you know, models that are trying to hide their own alignments and trying to, like, basically copy themselves. Again, I don't believe that anything things are alive or intelligent, but they exhibit these behaviors as part of the probabilistic that's kind of scary. So there's a lot to be done there. But yeah, we worked on this, the group that I do foresight with Arizona State University threat casting lab. We've done some work for the Secret Service and for NATO and, yeah, there'll be, you know, large scale hackings on infrastructure. Basically the equivalent can be the equivalent can be the equivalent to a weapons of mass destruction attack. We saw how Russia targeted in 2014 the Ukrainian grid and hacked their nuclear plans. This is essential infrastructure more important than ever, giving global geopolitics say the least, so that needs to be under consideration. And I don't know, did I scare you enough yet? What are the things we've talked through here that, say the least about, you know, people being, you know, tricked and incepted by their AI girlfriends, boyfriends. You know people who are trying to AI companions. I can't possibly imagine what could go wrong there.   Trevor Freeman  42:29 I mean, it's just like, you know, I don't know if this is 15 or 20, or maybe even 25 years ago now, like, it requires a whole new level of understanding when we went from a completely analog world to a digital world and living online, and people, I would hope, to some degree, learned to be skeptical of things on the internet and learned that this is that next level. We now need to learn the right way of interacting with this stuff. And as you mentioned, building the sort of ethical code and ethical guidelines into these language models into the AI. Learning is pretty critical for our listeners. We do have a podcast episode on cybersecurity. I encourage you to go listen to it and reassure yourself that, yes, we are thinking about this stuff. And thanks, Greg, you've given us lots more to think about in that area as well. When it comes to again, looking back at utilities and managing the grid, one thing we're going to see, and we've talked a lot about this on the show, is a lot more distributed generation. So we're, you know, the days of just the central, large scale generation, long transmission lines that being the only generation on the grid. Those days are ending. We're going to see more distributed generations, solar panels on roofs, batteries. How does AI help a utility manage those better, interact with those better get more value out of those things?   Greg Lindsay  43:51 I guess that's sort of like an extension of some of the trends I was talking about earlier, which is the notion of, like, being able to model complex systems. I mean, that's effectively it, right, like you've got an increasingly complex grid with complex interplays between it, you know, figuring out how to basically based on real world performance, based on what you're able to determine about where there are correlations and codependencies in the grid, where point where choke points could emerge, where overloading could happen, and then, yeah, basically, sort of building that predictive system to Basically, sort of look for what kind of complex emergent behavior comes out of as you keep adding to it and and, you know, not just, you know, based on, you know, real world behavior, but being able to dial that up to 11, so to speak, and sort of imagine sort of these scenarios, or imagine, you know, what, what sort of long term scenarios look like in terms of, like, what the mix, how the mix changes, how the geography changes, all those sorts of things. So, yeah, I don't know how that plays out in the short term there, but it's this combination, like I'm imagining, you know, all these different components playing SimCity for real, if one will.   Trevor Freeman  44:50 And being able to do it millions and millions and millions of times in a row, to learn every possible iteration and every possible thing that might happen. Very cool. Okay. So last kind of area I want to touch on you did mention this at the beginning is the the overall power implications of of AI, of these massive data centers, obviously, at the utility, that's something we are all too keenly aware of. You know, the stat that that I find really interesting is a normal Google Search compared to, let's call it a chat GPT search. That chat GPT search, or decision making, requires 10 times the amount of energy as that just normal, you know, Google Search looking out from a database. Do you see this trend? I don't know if it's a trend. Do you see this continuing like AI is just going to use more power to do its decision making, or will we start to see more efficiencies there? And the data centers will get better at doing what they do with less energy. What is the what does the future look like in that sector?   Greg Lindsay  45:55 All the above. It's more, is more, is more! Is the trend, as far as I can see, and every decision maker who's involved in it. And again, Jensen Wong brought this up at the big Nvidia Conference. That basically he sees the only constraint on this continuing is availability of energy supplies keep it going and South by Southwest. And in some other conversations I've had with bandwidth companies, telcos, like laying 20 lumen technologies, United States is laying 20,000 new miles of fiber optic cables. They've bought 10% of Corning's total fiber optic output for the next couple of years. And their customers are the hyperscalers. They're, they're and they're rewiring the grid. That's why, I think it's interesting. This has something, of course, for thinking about utilities, is, you know, the point to point Internet of packet switching and like laying down these big fiber routes, which is why all the big data centers United States, the majority of them, are in north of them are in Northern Virginia, is because it goes back to the network hub there. Well, lumen is now wiring this like basically this giant fabric, this patchwork, which can connect data center to data center, and AI to AI and cloud to cloud, and creating this entirely new environment of how they are all directly connected to each other through some of this dedicated fiber. And so you can see how this whole pattern is changing. And you know, the same people are telling me that, like, yeah, the where they're going to build this fiber, which they wouldn't tell me exactly where, because it's very tradable, proprietary information, but, um, but it's following the energy supplies. It's following the energy corridors to the American Southwest, where there's solar and wind in Texas, where you can get natural gas, where you can get all these things. It will follow there. And I of course, assume the same is true in Canada as we build out our own sovereign data center capacity for this. So even, like deep seek, for example, you know, which is, of course, the hyper efficient Chinese model that spooked the markets back in January. Like, what do you mean? We don't need a trillion dollars in capex? Well, everyone's quite confident, including again, Jensen Wong and everybody else that, yeah, the more efficient models will increase this usage. That Jevons paradox will play out once again, and we'll see ever more of it. To me, the question is, is like as how it changes? And of course, you know, you know, this is a bubble. Let's, let's, let's be clear, data centers are a bubble, just like railroads in 1840 were a bubble. And there will be a bust, like not everyone's investments will pencil out that infrastructure will remain maybe it'll get cheaper. We find new uses for it, but it will, it will eventually bust at some point and that's what, to me, is interesting about like deep seeking, more efficient models. Is who's going to make the wrong investments in the wrong places at the wrong time? But you know, we will see as it gathers force and agents, as I mentioned. You know, they don't require, as much, you know, these monstrous training runs at City sized data centers. You know, meta wanted to spend $200 billion on a single complex, the open AI, Microsoft, Stargate, $500 billion Oracle's. Larry Ellison said that $100 billion is table stakes, which is just crazy to think about. And, you know, he's permitting three nukes on site. So there you go. I mean, it'll be fascinating to see if we have a new generation of private, private generation, right, like, which is like harkening all the way back to, you know, the early electrical grid and companies creating their own power plants on site, kind of stuff. Nicholas Carr wrote a good book about that one, about how we could see from the early electrical grid how the cloud played out. They played out very similarly. The AI cloud seems to be playing out a bit differently. So, so, yeah, I imagine that as well, but, but, yeah, well, inference happen at the edge. We need to have more distributed generation, because you're gonna have AI agents that are going to be spending more time at the point of request, whether that's a laptop or your phone or a light post or your autonomous vehicle, and it's going to need more of that generation and charging at the edge. That, to me, is the really interesting question. Like, you know, when these current generation models hit their limits, and just like with Moore's law, like, you know, you have to figure out other efficiencies in designing chips or designing AIS, how will that change the relationship to the grid? And I don't think anyone knows quite for sure yet, which is why they're just racing to lock up as many long term contracts as they possibly can just get it all, core to the market.   Trevor Freeman  49:39 Yeah, it's just another example, something that comes up in a lot of different topics that we cover on this show. Everything, obviously, is always related to the energy transition. But the idea that the energy transition is really it's not just changing fuel sources, like we talked about earlier. It's not just going from internal combustion to a battery. It's rethinking the. Relationship with energy, and it's rethinking how we do things. And, yeah, you bring up, like, more private, massive generation to deal with these things. So really, that whole relationship with energy is on scale to change. Greg, this has been a really interesting conversation. I really appreciate it. Lots to pack into this short bit of time here. We always kind of wrap up our conversations with a series of questions to our guests. So I'm going to fire those at you here. And this first one, I'm sure you've got lots of different examples here, so feel free to give more than one. What is a book that you've read that you think everybody should read?   Greg Lindsay  50:35 The first one that comes to mind is actually William Gibson's Neuromancer, which is which gave the world the notion of cyberspace and so many concepts. But I think about it a lot today. William Gibson, Vancouver based author, about how much in that book is something really think about. There is a digital twin in it, an agent called the Dixie flatline. It's like a former program where they cloned a digital twin of him. I've actually met an engineering company, Thornton Thomas Eddie that built a digital twin of one of their former top experts. So like that became real. Of course, the matrix is becoming real the Turing police. Yeah, there's a whole thing in there where there's cops to make sure that AIS don't get smarter. I've been thinking a lot about, do we need Turing police? The EU will probably create them. And so that's something where you know the proof, again, of like science fiction, its ability in world building to really make you think about these implications and help for contingency planning. A lot of foresight experts I work with think about sci fi, and we use sci fi for exactly that reason. So go read some classic cyberpunk, everybody.   Trevor Freeman  51:32 Awesome. So same question. But what's a movie or a show that you think everybody should take a look at?   Greg Lindsay  51:38 I recently watched the watch the matrix with ideas, which is fun to think about, where the villains are, agents that villains are agents. That's funny how that terms come back around. But the other one was thinking about the New Yorker recently read a piece on global demographics and the fact that, you know, globally, less and less children. And it made several references to Alfonso Quons, Children of Men from 2006 which is, sadly, probably the most prescient film of the 21st Century. Again, a classic to watch, about imagining in a world where we don't where you where you lose faith in the future, what happens, and a world that is not having children as a world that's losing faith in its own future. So that's always haunted me.   Trevor Freeman  52:12 It's funny both of those movies. So I've got kids as they get, you know, a little bit older, a little bit older, we start introducing more and more movies. And I've got this list of movies that are just, you know, impactful for my own adolescent years and growing up. And both matrix and Children of Men are on that list of really good movies that I just need my kids to get a little bit older, and then I'm excited to watch with them. If someone offered you a free round trip flight anywhere in the world, where would you go?   Greg Lindsay  52:40 I would go to Venice, Italy for the Architecture Biennale, which I will be on a plane in May, going to anyway. And the theme this year is intelligence, artificial, natural and collective. So it should be interesting to see the world's brightest architects. Let's see what we got. But yeah, Venice, every time, my favorite city in the world.   Trevor Freeman  52:58 Yeah, it's pretty wonderful. Who is someone that you admire?   Greg Lindsay  53:01 Great question.

This week on Ask, Tell, Confess, they kick things off with a fun question: Is there anything you use that has to be brand new every time? That leads to Jelly's ongoing battle with vanishing socks and a dive into their everyday quirks—like Bunnie never wearing the same outfit twice and her husband's obsession with a clean shirt daily. Then the vibes shift as they share eerie encounters, from a haunted Roomba to a fire alarm that goes off with no explanation. And for a wild twist—someone shares a late-night inhaler hit that unexpectedly turned into an accidental X-rated horror show.Watch Full Episodes & More:www.dumbblondeunrated.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on the Cocktail Nation, we slip into something velvet-lined for a Les Baxter lounge special—featuring part of a fascinating chat with James Spencer, the man behind a deep dive book on the godfather of exotica himself. We've got brand-new music  from Jim Bacchi and the Tikiyaki Orchestra,  Plus, our usual cocktail of curated cool: a bizarre tale from the Stuff Segment that'll have you rethinking Cold War strategy, highlights from Lounge Life Magazine, a jazzy calendar of what's on around the globe, and a Deep Thought that might just make your Roomba blush.     www.cocktailnation.net   Messer Chups – Agent Tremolo New Morty Show – Ladies Man Les Baxter-Quiet Village Jeri Southern – Let's Fly Away Herb Ellis – Soft Winds Paul Anka – It's My Life Ultra Beaver Lounge Band – Bossa Nova Lounge Voodoo 5 – Highway 99 The Tikiyaki Orchestra – The Pineapple-Upside-Down Tiki Delights – San Francisco Samba Ixtahuele – Curitiba Train

Ellyn is joined by Bailey and Rachel for a chaotic deep-dive into some of fiction's most iconic characters from Peeta and Gale in The Hunger Games, to the Roomba in Margo's Got Money Troubles. We're dishing out red, beige, and green flags to everyone from the Dung Beetle in I Eat Poop, to Edward Cullen, Odo from O Sinners!, characters from Fourth Wing, and plenty more. Listen to hear which characters pass the vibe check, and which ones definitely don't. And don't forget to tell us which fictional characters you would give a red, beige, or green flag to! Ellyn's Currently Reading | All Fours by Miranda July Rachel's Currently Reading | The Bewitching by Silvia Moreno-Garcia Bailey's Currently Reading | Lonesome Dove by Larry McMurtry ____________________________________________________ Make sure to subscribe and rate the Bubbles & Books Podcast. And don't forget to share it with your friends. Learn more about a Dog-Eared Books book subscription HERE. Follow us on Instagram: @bubblesandbookspodcast Follow Dog-Eared Books on Instagram: @dogearedbooksames Interested in audiobooks? Listen while supporting Dog-Eared Books HERE. Visit us! www.dogearedbooksames.com

We were promised robot butlers and got Roombas that cry under the couch. In this brutally honest (and slightly hilarious) episode, Francesco dives into why the robot revolution fizzled, why your dishwasher still needs you, and how robotics became more YouTube circus than household helper. Spoiler: It's not the tech – it's us.   Sponsors DSH is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don't just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at amethix.com   DSH is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai     ✨ Connect with us!

Don't mess with Smokey, I so want a Roomba, no more Laura texts.

"How did this get here?..."CREEPYPASTA► "I Don't Own a Roomba..." by AJArcadia, narrated by ClancyPasta► https://www.reddit.com/r/creepypasta/comments/1mebs42/i_dont_own_a_roomba/Here are ways to support the channel if you wish ~MERCH ► http://teespring.com/stores/clancypastastorePATREON ► https://patreon.com/clancypastaMEMBERSHIP ► https://www.youtube.com/channel/UCnfg9w5hrnPT7oA1H3uRZEQ/joinHere's where you can find me, and also links to the audio version of the show ~X / TWITTER ► http://x.com/clancypastaINSTA ► https://instagram.com/clancypastaSPOTIFY ► https://open.spotify.com/show/51DHHPsFnEvDAGfRiZPMF7ANCHOR.FM ► https://anchor.fm/clancypastaMUSIC► Background music is original and done in house by my best friend and house audio designer SKEEVY WEEVIL#Creepypasta #scarystories #horrorstories

Live Show Tickets Here! In this special Inbox of Oddities episode, Kat and JG open the floodgates of freaky listener tales—and what flows out includes bisexual ghost grandmas, haunted Roombas, bloody Marys topped with entire chickens, and one particularly vengeful jar of pickles. Jesse shares a deeply moving dream visitation from her long-passed grandma. Meanwhile, emails pour in featuring cursed karaoke nights in Alaskan dive bars, “Cockfinder Generals,” and a proposed reality show called Extreme Embalming. Yes, it's a competition. No, there are no tools. Also: A haunted underground tour, the horrors of organic chemistry correction, a taxidermied squirrel causing electromagnetic chaos, and a jar of pickles that clearly had an axe to grind. Whether it's grief, giggles, or ghostly grandmas—we're unsealing every oddity in this jam-packed episode of listener gold. #BoxOfOddities #QueerGhosts #DreamVisitation #InboxOfOddities #HauntedRoomba #CockfinderGeneral #ExtremeEmbalming #BisexualGrandma #BloodyMaryMadness #PickleRevenge #TrueWeird #ComedyPodcast #FreakNation Learn more about your ad choices. Visit megaphone.fm/adchoices

Siblings Ashley Engle and Brandon Birdwell discuss life, the fist inaugural Happy Humble Tour, Camping with panache, Leo DiCaprio's face as a metaphor for budget botox application and Brandon's never-ending quest to get a Roomba with his son's Dave and Buster's points.

Combat de Roomba Shamelessplug Hackfest Swag Join Hackfest/La French Connection Discord Join Hackfest us on Masodon Conférence GoSEC 2025 - Montréal - 10-11 sept 2025 - Colloque cybersécurité et protection des données personnelles - Saint-Hyacinthe - 2 octobre 2025 Hackfest - Québec - 16-17-18 Octobre 2025 POLAR - Québec - 16 Octobre 2025 Montréal Connecte 2025 - Montréal - 28-31 octobre 2025 - Cyberchess les 29-30 octobre - Latvia Nouvelles RBC remet la sécurité dans les mains de ses clients Canada suspends Hikvision operations over national security concerns The Expanding Front: CCP Espionage and Strategic Ambition Since 2020 New spyware strain steals data from Russian industrial companies Nearly 300,000 people were impacted by cyberattack on Nova Scotia Power Anatsa mobile malware returns to victimize North American bank customers update 20250707 - Ingram Micro outage caused by SafePay ransomware attack Microsoft July 2025 Patch Tuesday fixes one zero-day, 137 flaws Alleged Chinese hacker tied to Silk Typhoon arrested for cyberespionage Digital threats from China unlike any ever encountered, top cyber firm warns Une vidéo prémonitoire des ratés de SAAQclic Hydro-Québec réinvestit près de 1,4 G$ dans les compteurs «intelligents» AT&T rolls out “Wireless Lock” feature to block SIM swap attacks CISA and Partners Urge Critical Infrastructure to Stay Vigilant in the Current Geopolitical Environment The People's Liberation Army Cyberspace Force FalconFeed Report - North America Under Digital Siege Invité Loic J'ai hacké mon Roomba GitHub Crew Patrick Mathieu Francis Coats Steve Waterhouse Crédits Montage audio par Hackfest Communication Music par Xenofish - Encoder - Leviathan Locaux virtuels par Streamyard

Join Brian and Steven as we put jumper cables on this roomba to see if it feels pain! The book doesn’t have chapters in the traditional sense, but it does have natural stopping points separated by quotes. Check out the awesome companion website sxp made! The starting quote for this… Continue reading

The boys order up a side of toxic masculinity with a dusting of 70s orchestral schmaltz, wonder if Neil Young just needed a Roomba, and use the scientific method to conduct an autopsy on the corpse of his domestically challenged ballad, “A Man Needs a Maid.” News items and digressions include Jane's Addiction lawsuits and multitasking Moms.

Wiener Palooza; Mail Call and Coffee Mug idea; Chuck E. Cheese to return; Attacked by a Roomba; Dammit, Dog injuries walking your dog; Netflix Shark Series controversy; Science news and NEW WORLD SCREWWORM FLY; Lawn Chair Larry

Breakfast Ketchup Is A Thing Should She Complain to HR? War of the Roses When I am Mad I _______. Ventline 3 in the QC Can't Beat LauRen Things at Happened 10 Years Ago Maney Loves this ... Support the show: https://www.mrlshow.com/

Reto "No soy la Roomba de mi hijo"

If you were eagerly anticipating the next pun-named episode of Music of the Mat Remix, then your wait is over. Shawn Michaels came out to his entrance theme "Sexy Boy" for many years, but what if instead of kicking his opponents' heads off with Sweet Chin Music, he wailed away on a saxophone instead? Why, he'd be... just a saxy boy (saxy boyyyyyy). On this episode, Andrew and first-time guest Roomba from the VOW Discord play songs that have a saxophone part in them. Artists played include Billy Idol, Fela Kuti, Ween, Romeo Void, FEAR, Sisters of Mercy, Grace Kelly, Miles Davis w/ John Coltrane & Cannonball Adderley, and many more. Get ready to make 'em hot and make 'em shiver with the help of some awesome saxophone songs!Theme song: "Hemispheres" by Silent PartnerBluesky: @MusicoftheMat / @justandrewAll VOW podcasts, articles, previews, and reviews: VoicesofWrestling.comJoin the VOW Discord to discuss Music of the Mat and other shows/topics: VoicesofWrestling.com/DiscordDonate to Music of the Mat and other VOW podcasts: VoicesofWrestling.com/DonateAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Reto "No soy la Roomba de mi hijo"

On Today's Best Of Episode: Today on the program:

Look, we spend way too much time doom-scrolling about AI taking our jobs and potentially ending humanity. But let's be real for a hot minute – there's some genuinely mind-blowing tech coming that's going to make our daily lives infinitely better. From glasses that remember where you left your keys to robots that'll do your laundry while you binge Netflix, we're about to enter an era where forgetting stuff and doing chores becomes optional. Jeremy and Jason dive into the cool side of AI advancement, exploring smart glasses with photographic memory, prosthetic limbs controlled by thoughts, business-building chatbots, and yes – robots that might replace your spouse (we went there). These aren't just prototypes anymore; this stuff is hitting the market now. Ready to get excited about technology that doesn't involve robots uprising? Listen now and discover what's possible when AI works for us instead of against us. Topics Discussed: Smart glasses with perfect recall – Never lose your keys again with AI that remembers everything you glance at Mind-controlled prosthetics – Wireless robotic limbs that work even when detached from the body AI-powered business creation – From idea to functioning website in minutes using ChatGPT Firefighting robots – Machines that walk through flames without getting tired or complaining Home automation evolution – Why your Roomba is about to get a serious upgrade Privacy implications – The trade-off between convenience and constant surveillance Relationship robots – Gary Vee's prediction that your grandkids will marry AI partners Market research automation – Getting million-dollar analysis for free through AI tools Safety applications – How smart glasses could prevent drowsy driving accidents The accountability problem – Whether technology can actually make us stick to our goals ---- MORE FROM THE FIT MESS: Connect with us on Threads, Twitter, Instagram, Facebook, and Tiktok Subscribe to The Fit Mess on Youtube Join our community in the Fit Mess Facebook group ---- LINKS TO OUR PARTNERS: Take control of how you'd like to feel with Apollo Neuro Explore the many benefits of cold therapy for your body with Nurecover Muse's Brain Sensing Headbands Improve Your Meditation Practice. Get started as a Certified Professional Life Coach! Get a Free One Year Supply of AG1 Vitamin D3+K2, 5 Travel Packs Revamp your life with Bulletproof Coffee You Need a Budget helps you quickly get out of debt, and save money faster! Start your own podcast!    

Today on the Woody and Wilcox Show: Chelsea receives a Roomba from a listener; Banned baby names; Wilcox goes to college orientation with his son; Common knowledge things kids should know; Woody Game Wednesday; People are concerned about their sleep because of their smart watches; And more!

Man, we had a blast diving into this chat about robotics, AI, and all that nostalgic stuff that just hits us right in the feels. We were cracking up, talking about how robots and AI are sneaking into our everyday lives—think self-driving cars or that Roomba zipping around our floors. We got to joking about what the future’s gonna look like with all this tech, laughing about how we might end up arguing with our toasters someday. And those old commercials? Oh man, we were losing it, swapping memories of jingles that still live rent-free in our heads. Then we went full-on memory lane, swapping stories about the quirky origins of peanut butter and our love for snacks like Oreos—yep, we’re the ones twisting ‘em apart for that creamy center. It got us thinking about how food, especially cookies, shaped our childhood vibes, like sharing one was a total power move at school. We even chuckled about the physics of food collisions, picturing cookies crumbling in epic lunchroom battles. We were cracking up about how some of our favorite snacks just vanished—like, where’d they go? We’re still out here chasing the perfect cookie. Then we got to chatting about Indiana’s food scene, sharing stories about its exports like ducks and popcorn. The whole convo was just us vibing, tossing out funny anecdotes and insights about food, culture, and all those little quirks we grew up with.

Man, we had a blast diving into this chat about robotics, AI, and all that nostalgic stuff that just hits us right in the feels. We were cracking up, talking about how robots and AI are sneaking into our everyday lives—think self-driving cars or that Roomba zipping around our floors. We got to joking about what the future’s gonna look like with all this tech, laughing about how we might end up arguing with our toasters someday. And those old commercials? Oh man, we were losing it, swapping memories of jingles that still live rent-free in our heads. Then we went full-on memory lane, swapping stories about the quirky origins of peanut butter and our love for snacks like Oreos—yep, we’re the ones twisting ‘em apart for that creamy center. It got us thinking about how food, especially cookies, shaped our childhood vibes, like sharing one was a total power move at school. We even chuckled about the physics of food collisions, picturing cookies crumbling in epic lunchroom battles. We were cracking up about how some of our favorite snacks just vanished—like, where’d they go? We’re still out here chasing the perfect cookie. Then we got to chatting about Indiana’s food scene, sharing stories about its exports like ducks and popcorn. The whole convo was just us vibing, tossing out funny anecdotes and insights about food, culture, and all those little quirks we grew up with.

In episode 821 of the QAV Podcast, Cameron and Tony kick things off with tales of gas outages and cold showers before diving into the markets. They review the portfolio performance, explain the HLS sell-off, and unpack the latest antics of Donald Trump's tariff diplomacy. Stocks under the spotlight include VVA (Viva Leisure) with their eyebrow-raising stake in Gorilla X Labs, NRW's legal wrangle over the Whyalla port, and a deep-dive pulled pork on ANZ. The ANZ segment touches everything from executive turnover, the bloated One Platform app, substance abuse allegations, and the Suncorp acquisition, to Cameron's prediction that the whole thing will be scrapped in favour of an AI-driven rebuild. Sprinkle in some talk about robot security Roombas, the legacy of Damien Broderick, Sparks' new album, and Japanese punk, and you've got another vintage QAV session.

In this episode, Joe and Mish dive into various wrestling-related topics. They start by discussing the WWE past with Samantha Irvin's WWE tryout story. The duo then talks about Dominic Mysterio's growing popularity and his upcoming appearance on Stephanie McMahon's podcast. They explore potential WWE talent exchanges with TNA and the role of Evolve as part of WWE's training program. There's also a light-hearted discussion about recent WWE and AEW talent and a humorous rant about misadventures with a Roomba. Lastly, they touch on possible film roles for Roman Reigns and the legacy of some classic movie adaptions from video games.02:03 The Challenges of Transitioning to Wrestling03:39 Samantha Urban's Background and WWE Aspirations07:33 The Role of Ring Announcers in WWE15:16 Dominic Mysterio's Evolution in WWE24:11 Stephanie McMahon's Podcast and Dominic's Story30:18 AEW and WWE Rivalries and Storylines36:17 The Call and Commitment Dilemma37:35 Loyalty and Risk in Wrestling38:52 Backyard Wrestling and Social Disorders43:19 Roman Reigns in Street Fighter?44:56 Wrestling Talent and Career Moves49:30 WWE's Talent Management Strategies01:03:09 The Roomba Chronicles01:04:52 Final Thoughts and Sign-OffBecome a supporter of this podcast: https://www.spreaker.com/podcast/wrestling-soup--1425249/support.

What position did you play?! Let's talk about that, the implications of having one arm that's an entire foot longer than your other arm, lonely people caring way too much about their Roomba vacuums, all the different "laws" that people use to navigate society, and more on today's episode of Can You Don't?!*** Wanna become part of The Gaggle and access all the extra content on the end of each episode PLUS tons more?! Our Patreon page is LIVE! This is the biggest way you can support the show. It would mean the world to us: http://patreon.com/canyoudontpodcast ***New Episodes every Wednesday at 12pm PSTWatch on Youtube: https://youtu.be/rSzlbR1GdFUSend in segment content: heyguys@canyoudontpodcast.comMerch: http://canyoudontpodcast.comMerch Inquires: store@canyoudontpodcast.comFB: http://facebook.com/canyoudontpodcastIG: http://instagram.com/canyoudontpodcastYouTube Channel: https://bit.ly/3wyt5rtOfficial Website: http://canyoudontpodcast.comCustom Music Beds by Zach CohenFan Mail:Can You Don't?PO Box 1062Coeur d'Alene, ID 83816Hugs and Tugs.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In Part 2, we pick up where we left off in Part 1, with Misstencil at a new school half a world away from her home in China. Her time in Switzerland started off in business school, a topic that she admits she's not the best at today. Aside from school, she visited other parts of Europe. She got a job in Switzerland, but called her family back home as much as she could afford to. One call she had with them around the new year one year had her feeling like family members were passing the phone and no one wanted to talk with her. She then learned that her grandfather, the one who had raised her, had passed away days before this call. The family had kept the news of his illness from Misstencil, ostensibly to protect her. Her grandfather's death took her about a decade to get over. She was left with a sense of aimlessness and lack of purpose. Going back home felt out of the question, and she liked Switzerland. But her school there had a joint program with a school in the US, and so she applied for a visa. That school was in South Carolina. When her time in South Carolina came to an end, she had a choice—New York or San Francisco. She (correctly) chose The City. Misstencil had friends in SF already, and they let her stay with her. Those friends told her about a website, then only in the Bay Area, that she could use to find her own place. That site was Craigslist, and they were right. She soon found a place of her own. The year was 2000, and little did she know that she was beginning what would be a decades-long stay here. Her first job in The City was for a big company, one that had a dress code that put her in high heels. Looking back, Misstencil is so far removed from that corporate world that she cannot imagine wearing those shoes, or painting her nails, or other things that go along with corporate culture. But we'll get to that. She found herself meeting and befriending older hippies who encouraged her to pursue her art. She was broke, and they put her up. They helped her get art supplies. She had previously set aside any artistic ambitions while going to school and beginning what she thought would be a career. But summoning inspiration from the art her dad used to do and accepting the help of her friends in her new city, she decided to go for it. Misstencil (not known by that name just yet) began to show her art. She recounts the first time she sold a piece, and how that felt. She walked by the gallery and saw that red dot and knew she had to tell everybody about it. She says that art and San Francisco and those early friends she made here saved her. Looking back on her life and the emotional struggles she had endured, Misstencil came to realize that, as an adult and survivor of depression, she wanted to help kids going through that. She lived with roommates in a rent-controlled spot, thus allowing her to do side work of that nature. The person who today is Misstencil of course wasn't always known by that name. That started in 2022. She shares the origin story of her pseudonym. It all began with her simply wanting to beautify parts of The City that had lost their luster, so to speak—boarded-up storefronts and the like. She found herself all over town, talking to people, hearing their stories, hearing how much neighborhoods meant to people. This led Misstencil to conceive of her “San Francisco Lonely Hearts” project, which is how my life intersected with hers. It's a way for her to show her deep love for and appreciation of San Francisco. She shares how she settled on stencil art for her method lately. She never had any formal training or went to art school. She says that because she didn't have a very happy childhood, she wanted her art to help her feel like a kid again. Misstencil goes on a side story about the time she connected with SF icon Frank Chu and invited him to do Bay to Breakers with her. We also talk about the day we met, when she showed her SF Lonely Hearts work-in-progress canvas outside of Vesuvio. In addition to the 2D art that day in Jack Kerouac Alley, she had Frank Chu on a Roomba holding his infamous “12 Galaxies” sign, and a Golden Gate Bridge bench placed in front of the canvas. Before we wrap, I ask Misstencil about upcoming shows she has, and she humors me by plugging our “Keep It Local” show, which she's in. We end the episode with Misstencil's thoughts about our theme this season and the theme of the show this week: Keep it local. Photography by Nate Oliveira

Pat & JT spiral into tech paranoia after finding out Roombas might be recording you on the toilet—and leaking it. They break down the viral bathroom photo that resurfaced from Amazon-owned iRobot tests and share a wild moment when a piece of podcast equipment picked up audio while powered off. Plus: the terrifying truth about smart devices, how many photos we're hoarding for no reason, and why you probably won't ever watch that concert video again. Subscribe, rate, and review our podcast wherever you get your podcasts so you don't miss an episode! Also follow up on Facebook, Twitter, and Instagram This is another Hurrdat Media Production. Hurrdat Media is a podcast network and digital media production company based in Omaha, NE. Find more podcasts on the Hurrdat Media Network by going to HurrdatMedia.com or the Hurrdat Media YouTube channel! Learn more about your ad choices. Visit megaphone.fm/adchoices

Get Tickets to The Box Of Oddities Shows Live ⁠HERE!⁠ In this Inbox of Oddities, we unbox your weirdest true stories—and maybe a haunted Viking cat or two. Kat and Jethro share listener tales about severed doll heads that mysteriously appear mid-garage cleanout, and rogue Roombas dabbling in the occult. Plus: an office assistant accidentally inherits human remains, a cat channeling Bjorn Ironside, haunted dreams of the Winchester Mystery House, spontaneous combustion vibes in the kitchen, and a demon with questionable joke standards. Also, bonus life advice: if your Amazon package stares back at you, just slowly back away. This Inbox has it all—ghosts, robots, cremains, and questionable life choices. Listen now, because you never know when your kitchen appliances might try to start a séance. #InboxOfOddities #HauntedRoomba #BoxOfOddities #TrueWeird #DollHeadHorror #CreepyCoincidences #BjornTheCat #SpontaneousHumanCombustion #HighAltitudeCakeScience #ParanormalPets #HauntedWinchesterDreams #OfficeHauntings #FreakFam Learn more about your ad choices. Visit megaphone.fm/adchoices

OpenAI pulls an update from ChatGPT that made it too sycophantic. Will Apple Intelligence ever come out? And researchers study if robo-vacuums can be repurposed for other tasks. Finland will restrict student phone use during the school day starting August 1st. Starring Sarah Lane, Robb Dunewood, Roger Chang, Amos To read the show notes in a separate page click here! Support the show on Patreon by becoming a supporter!

In this episode of your favorite smart home podcast, Dan Turk from Max Borges Agency joins to walk through this week's latest news. We saw Aqara launch three new products, iRobot introduce its 9th new bot this year, and we review the G5 Pro camera that may be the best around.Send us your HomeKit questions and recommendations with the hashtag homekitinsider. Tweet and follow our hosts at:@andrew_osu on Twitter@andrewohara941 on ThreadsEmail us hereSponsored by:Shopify: Sign up for a one-dollar-per-month trial period at: shopify.com/homekitFast Growing Trees: Listeners to our show get 15% OFF their first purchase when using the code HOMEKIT at checkout at FastGrowingTrees.comHomeKit Insider YouTube ChannelSubscribe to the HomeKit Insider YouTube Channel and watch our episodes every week! Click here to subscribe.Links from the showAqara W100Aqara Y100 Security KitAqara Hub M100ZemiSmart SwitchSix Colors HomeKit dehumidifier projectDelonghi HomeKit DehumidifierAqara Camera Hub G5 Pro reviewAqara Camera Hub G5 Pro AmazonDan Turk's latest bookThose interested in sponsoring the show can reach out to us at: andrew@appleinsider.com

Mon, 14 Apr 2025 21:30:00 GMT http://relay.fm/upgrade/559 http://relay.fm/upgrade/559 All Fingers Are Digital 559 Jason Snell and Myke Hurley After nearly 500 episodes away, Scott McNulty returns to the podcast to discuss the resilience of babies, dysfunction at Apple, the future of the Vision Pro, and (of course) ebooks and e-readers. After nearly 500 episodes away, Scott McNulty returns to the podcast to discuss the resilience of babies, dysfunction at Apple, the future of the Vision Pro, and (of course) ebooks and e-readers. clean 6779 After nearly 500 episodes away, Scott McNulty returns to the podcast to discuss the resilience of babies, dysfunction at Apple, the future of the Vision Pro, and (of course) ebooks and e-readers. This episode of Upgrade is sponsored by: Fitbod: Get stronger, faster with a fitness plan that fits you. Get 25% off your membership. ExpressVPN: High-Speed, Secure & Anonymous VPN Service. Get an extra three months free. Factor: Healthy, fully-prepared food delivered to your door. Guest Starring: Scott McNulty Links and Show Notes: Books Jason: M.R. Carey's Pandominion duology (Infinity Gate/Echo of Worlds) James S.A. Corey's Expanse series (9 books, “Leviathan Wakes”) Adrian Tchaikovsky's Final Architecture series (3 books, “Shards of Earth”) Adrian Tchaikovsky's Children of Time series (3 books, “Children of Time”) The Long Earth by Terry Pratchett and Steven Baxter (5 books, “The Long Earth”) Merchant Princes series by Charles Stross (6+ books, “The Family Trade”) Scott: Jo Walton's Small Change (Farthing, Ha'penny, Half a Crown) Yoon Ha Lee's The Machineries of Empire (Ninefox Gambit, Raven Stratagem, Revenant Gun) The Culture novels by Ian Banks (not really a good fit, but sort of!) Get Upgrade+. More content, no ads. Submit Feedback Ambient music: Free background tunes on your iPhone without ads Howard Lutnick says electronics tariff exemptions are temporary | AP News A 'US-Made iPhone' Is Pure Fantasy Why price increases aren't the only way Apple can fight tariffs – Six Colors How Apple Fumbled Siri's AI Makeover — The Information Report Reveals Internal Chaos Behind Apple's Siri Failure - MacRumors Apple Plans to Release Delayed Apple Intelligence ‌Siri‌ Features This Fall - MacRumors Trump Tariffs Add to Apple's Long-Standing Innovation Woes - The New York Times Upgrade #8: With Special Offers - Relay Upgrade #85: Talk to this Cylinder - Relay Which e-reader should you buy? – Six Colors 2024 Kindle Colorsoft and Paperwhite Review: No perfect choices – Six Colors RF Remote Control Page Turner for Kindle Kobo Libra Colour Review: Color, but at what cost? – Six Colors The future of the Roomba, and the best robot vacuums | The Verge Kindle Scribe review: Big, beautiful, and… buttonless? – Six Colors Boox Palma review: A phone-shaped e-reader – Six Colors Kindle Scribe – Good feature, but get it out of my face – Blankbaby Upgrade 559: A

Crunk's (Branson) stepdad's Roomba ran over Dave's (Andrew) girlfriend's glitterbomb and now it's a mess. Brian (Charles) has a new DoorDash and AI shirt. Full episode on Patreon: https://www.patreon.com/posts/e2-85-ipas-and-126642064 Get the new "DooDash & AI" t-shirt: https://e1podcast.dashery.com/products/74264630-doodash-and-ai-t-shirt

Some products are so successful they become snynonymous with their whole category — nobody asks for a facial tissue, they ask for a Kleenex, you know? Today's episode is, at least in part, about two of those products. First, The Verge's Jennifer Pattison Tuohy joins the show to chart the rise and fall of the Roomba, the robot vacuum that practically invented the category and yet seems to have been left behind. Can iRobot get its robot back on its feet? After that, Kobo CEO Michael Tamblyn discusses the state of e-readers, what it's like to always be "the best non-Amazon option," and what we all want from devices that aren't our smartphone. Finally, The Verge's Chris Welch helps us answer a question on the Vergecast Hotline (call 866-VERGE11, or email vergecast@theverge.com!) about which TV you should buy in 2025. It's a complicated question, but there are answers. Further reading: From CNN: The secret military technology inside the household vacuum robot iRobot announces eight new robot vacuums iRobot tells investors its future is in doubt Will iRobot's reinvention of the Roomba be at the expense of its history of innovation? Amazon wants to map your home, so it bought iRobot The death of the Amazon deal could mean goodbye iRobot iRobot's founder is working on a new kind of home robot Michael Tamblyn's website Kobo announces its first color e-readers The best ereader to buy right now Email us at vergecast@theverge.com or call us at 866-VERGE11, we love hearing from you. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Hey Smarties! Today we’re revisiting an episode from earlier this year that might help you make sense of all the tit for tat tariff fight from the past few weeks. It unpacks some tariff history and the potential economic consequences of President Trump’s ongoing trade war. If President Donald Trump goes through with his plan to levy sweeping tariffs on foreign imports, it wouldn't be the first time the U.S. has done such a thing. Ever heard of the Smoot-Hawley Tariff Act of 1930? Anyone? Those tariffs are widely credited with sinking the United States deeper into the Great Depression. And although global trade looks different nowadays, they can teach us a lot about how Trump's protectionist approach to global trade could play out. On the show today, Inu Manak, a fellow for trade policy at the Council on Foreign Relations, explains how the Smoot-Hawley tariff debacle can shed light on the current moment, why the president has the power to wield tariffs in the first place, and how punishing trading partners could leave the U.S. economy at a disadvantage. Plus, what this fight has to do with the 1980s film “Ferris Bueller's Day Off” and Roomba vacuum cleaners! Later, one listener's call to visit your local butcher. And, dating coach Damona Hoffman, host of the “Dates and Mates” podcast, answers the “Make Me Smart” question just in time for Valentine's Day. Here's everything we talked about today: “Tariffs on Trading Partners: Can the President Actually Do That?” from Council on Foreign Relations “One Response to Trump's Tariffs: Trade That Excludes the U.S.” from The New York Times “The United States has been disengaging from the global economy” from the Peterson Institute for International Economics “Protectionism 100 years ago helped ignite a world war. Could it happen again?” from The Washington Post “The US is one of the least trade-oriented countries in the world – despite laying the groundwork for today's globalized system” from The Conversation Double your impact when you donate to Marketplace today, thanks to a $30,000 match from the Investors Challenge Fund: https://support.marketplace.org/smart-sn