Podcasts about Google Maps

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Debating the merits of foldable phones, Gemini comes to Google Maps, and Apple plans more Ultra. How to Contact us:www.thecellphonejunkie.com questions@thecellphonejunkie.com Twitter How to Listen:Subscribe iTunes Download the show directly

Timestamps: 0:00 little freeloaders 0:12 Firefox keeping Win7 alive, for a bit 1:31 FBI investigates Steam malware 3:31 Stryker Corporation cyberattack 6:38 QUICK BITS INTRO 6:56 Google Maps update 7:32 GFiber merges with Astound Broadband 8:20 Telus Digital data breach 9:19 Cybertruck FSD lawsuit 10:35 Alexa+ 'Sassy' mode NEWS SOURCES: https://lmg.gg/EURPm Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 799: Neal and Toby talk about the funding gap happening in Congress that's hurting many federal employees' paychecks. Some airports are asking for donations to help their TSA agents. Then, Google Maps finally is getting an AI makeover thanks to Gemini. Plus, Nintendo shares pop thanks to its dark horse hit Pokemon Pokopia. Meanwhile, safe haven stocks used to be where investors flock during geopolitical uncertainty, but not anymore.  Learn more at taxact.com/business-returns Subscribe to Morning Brew Daily for more of the news you need to start your day. Share the show with a friend, and leave us a review on your favorite podcast app. Listen to Morning Brew Daily Here:⁠ ⁠⁠https://www.swap.fm/l/mbd-note⁠⁠⁠  Watch Morning Brew Daily Here:⁠ ⁠⁠https://www.youtube.com/@MorningBrewDailyShow⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Late standup comedian Robert Schimmel used to do a very funny bit about his wife. If you don’t have cable TV, then you’re missing out on life, according to Tim Conway Jr., who also loves junk food, so you know he makes great life choices. With that in mind, McDonald’s is stepping up and is going to save you money by rolling out a $3-item menu — ding-dong with you! You've gotta protect your home from break-ins, people! And don’t forget the coyotes when you’re out for a stroll! They’re gettin’ bolder, dontcha know. What is ghost tapping? Apparently, it’s another scam in which schemers use NFC technology to transact on your phone. If they touch your phone when you’re not paying attention, they’re able to make a transaction with your ID and funds. There's a new Google Maps feature, enhanced for your pleasure, it’s an AI enhancement called “Ask Maps.” Oh my God, girlfriend. Kids are loving the old-person game Mahjong, which is 200 years old! Plus, Timmy recalls the time back in the day when he got to drive around his favorite band Men at Work! See omnystudio.com/listener for privacy information.

Google's Gemini chatbot is now also available through the app. Learn more about your ad choices. Visit podcastchoices.com/adchoices

St. Patrick's Chicago River dyeing, Google Maps' major upgrade featuring a new AI-powered 3D redesign, the Oscars, Dan Levy's new show, Taylor Sheridan's new drama The Madison, chickens overrunning an Old North Sacramento neighborhood, Riley's weekend plans — plus more news. Plus, City of College Station Deputy City Manager Jeff Capps joined WTAW's Scott DeLucia to talk about water conservation and supply, the effort to unionize the fire department, Flock cameras, and more. 

But we also have confirmation on PC gems coming to Xbox and a more immersive Google Maps experience.Starring Tom Merritt and Huyen Tue Dao.Show notes can be found here. Hosted on Acast. See acast.com/privacy for more information.

More AI inspired job cuts. I gotta say, adding AI to Google Maps makes it sound like it might work much, much better. A new entrant into the AI health space. An Iran-war-related hacking takes down a company. And Mark Gurman tells us what to expect from a foldable iPhone. Atlassian slashes 10% of workforce to ‘self-fund' investments in AI and enterprise sales (CNBC) You can now ask Google Maps ‘complex, real-world questions' — and Gemini will answer (The Verge) Anthropic's Claude AI can respond with charts, diagrams, and other visuals now (The Verge) Microsoft's New AI Health Tool Can Read Your Medical Records and Give Advice (WSJ) Iran Expands War With Major Cyberattack Against U.S. Company (WSJ) Apple's Foldable iPhone to Feature iPad-Like Interface When Opened (Bloomberg) Learn more about your ad choices. Visit megaphone.fm/adchoices

Send me a message Your content doesn't suck. But you're making two massive mistakes that are killing your reach.I'm speaking on a panel today about the biggest social media mistakes agents make, and I've been thinking about what actually separates content that works from content that dies in the feed. After coaching hundreds of agents and reviewing thousands of posts, it comes down to two things.Mistake #1: You're only focused on education.If it's only educational but not interesting or entertaining, you're missing the mark. The bar has gotten so much higher on social over the last couple years. Educational content used to be enough. Not anymore. There's a ton of great educational content out there, but if it's boring, nobody watches.You need edutainment. Education plus entertainment. Education plus personality.I'm not saying you have to dance or do goofy skits if that's not your style. But it has to be entertaining. You've got to figure out a way within your personality to make it fun.Be yourself plus 20%. Add a little energy. Add voice inflection. Show some personality. Stop overthinking it.I'll give you real examples in this episode:The pothole with googly eyes that went viralThe construction barrel "Utah State tree" post that got massive sharesHow to make educational content actually interestingMistake #2: The beginning of your content sucks.What people see and hear in the first 1-3 seconds is everything. You could nail the delivery later, but if you don't grab their attention upfront, they're scrolling.I break down the 3-step hook formula:Powerful opinion or bold statement (never introduce yourself, never tell them the topic)Context sentence (credibility that tells them why they should listen)Raise the stakes (make them feel the cost of leaving before the payoff)Example: Instead of "Today I'm going to tell you about FHA loans," try "I can get you in this million dollar house for 35K." They're like "what? how?" Now they're hooked.Visuals matter just as much as what you say. Colorful backgrounds. Movement. Show them, don't just tell them. Screen record Google Maps. Pull images from Google. Use AI to create visuals if you need to.This takes practice. Your next piece of content ***********************RESOURCES : Free "Clients From Social" Masterclass - Learn the new formula top agents are using on social media to attract 5+ new closings, month after month. REGISTER HERE: https://members.massiveagentsociety.com/free-masterclass-registration?utm_source=podcast_notes Massive Agent Society on Skool - My coaching community giving Realtors the exact blueprint (and handholding) to attract 5+ new clients, every single month. CLICK HERE: https://www.skool.com/massiveagentsociety Manychat PRO - Automate your Instagram DM's and Get 30 days of Manychat Pro for FREE - CLICK HERE REAL Broker - Learn how we can be business partners and build a business together @ ΓEA⅃ Broker- CLICK HERE PLEASE LEAVE A REVIEW on APPLE PODCASTS or SPOTIFY

Turbopuffer came out of a reading app.In 2022, Simon was helping his friends at Readwise scale their infra for a highly requested feature: article recommendations and semantic search. Readwise was paying ~$5k/month for their relational database and vector search would cost ~$20k/month making the feature too expensive to ship. In 2023 after mulling over the problem from Readwise, Simon decided he wanted to “build a search engine” which became Turbopuffer.We discuss:• Simon's path: Denmark → Shopify infra for nearly a decade → “angel engineering” across startups like Readwise, Replicate, and Causal → turbopuffer almost accidentally becoming a company • The Readwise origin story: building an early recommendation engine right after the ChatGPT moment, seeing it work, then realizing it would cost ~$30k/month for a company spending ~$5k/month total on infra and getting obsessed with fixing that cost structure • Why turbopuffer is “a search engine for unstructured data”: Simon's belief that models can learn to reason, but can't compress the world's knowledge into a few terabytes of weights, so they need to connect to systems that hold truth in full fidelity • The three ingredients for building a great database company: a new workload, a new storage architecture, and the ability to eventually support every query plan customers will want on their data • The architecture bet behind turbopuffer: going all in on object storage and NVMe, avoiding a traditional consensus layer, and building around the cloud primitives that only became possible in the last few years • Why Simon hated operating Elasticsearch at Shopify: years of painful on-call experience shaped his obsession with simplicity, performance, and eliminating state spread across multiple systems • The Cursor story: launching turbopuffer as a scrappy side project, getting an email from Cursor the next day, flying out after a 4am call, and helping cut Cursor's costs by 95% while fixing their per-user economics • The Notion story: buying dark fiber, tuning TCP windows, and eating cross-cloud costs because Simon refused to compromise on architecture just to close a deal faster • Why AI changes the build-vs-buy equation: it's less about whether a company can build search infra internally, and more about whether they have time especially if an external team can feel like an extension of their own • Why RAG isn't dead: coding companies still rely heavily on search, and Simon sees hybrid retrieval semantic, text, regex, SQL-style patterns becoming more important, not less • How agentic workloads are changing search: the old pattern was one retrieval call up front; the new pattern is one agent firing many parallel queries at once, turning search into a highly concurrent tool call • Why turbopuffer is reducing query pricing: agentic systems are dramatically increasing query volume, and Simon expects retrieval infra to adapt to huge bursts of concurrent search rather than a small number of carefully chosen calls • The philosophy of “playing with open cards”: Simon's habit of being radically honest with investors, including telling Lachy Groom he'd return the money if turbopuffer didn't hit PMF by year-end • The “P99 engineer”: Simon's framework for building a talent-dense company, rejecting by default unless someone on the team feels strongly enough to fight for the candidate —Simon Hørup Eskildsen• LinkedIn: https://www.linkedin.com/in/sirupsen• X: https://x.com/Sirupsen• https://sirupsen.com/aboutturbopuffer• https://turbopuffer.com/Full Video PodTimestamps00:00:00 The PMF promise to Lachy Groom00:00:25 Intro and Simon's background00:02:19 What turbopuffer actually is00:06:26 Shopify, Elasticsearch, and the pain behind the company00:10:07 The Readwise experiment that sparked turbopuffer00:12:00 The insight Simon couldn't stop thinking about00:17:00 S3 consistency, NVMe, and the architecture bet00:20:12 The Notion story: latency, dark fiber, and conviction00:25:03 Build vs. buy in the age of AI00:26:00 The Cursor story: early launch to breakout customer00:29:00 Why code search still matters00:32:00 Search in the age of agents00:34:22 Pricing turbopuffer in the AI era00:38:17 Why Simon chose Lachy Groom00:41:28 Becoming a founder on purpose00:44:00 The “P99 engineer” philosophy00:49:30 Bending software to your will00:51:13 The future of turbopuffer00:57:05 Simon's tea obsession00:59:03 Tea kits, X Live, and P99 LiveTranscriptSimon Hørup Eskildsen: I don't think I've said this publicly before, but I just called Lockey and was like, local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you. But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working.So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people. We're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards. Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before.Alessio: Hey everyone, welcome to the Leading Space podcast. This is Celesio Pando, Colonel Laz, and I'm joined by Swix, editor of Leading Space.swyx: Hello. Hello, uh, we're still, uh, recording in the Ker studio for the first time. Very excited. And today we are joined by Simon Eski. Of Turbo Farer welcome.Simon Hørup Eskildsen: Thank you so much for having me.swyx: Turbo Farer has like really gone on a huge tear, and I, I do have to mention that like you're one of, you're not my newest member of the Danish AHU Mafia, where like there's a lot of legendary programmers that have come out of it, like, uh, beyond Trotro, Rasmus, lado Berg and the V eight team and, and Google Maps team.Uh, you're mostly a Canadian now, but isn't that interesting? There's so many, so much like strong Danish presence.Simon Hørup Eskildsen: Yeah, I was writing a post, um, not that long ago about sort of the influences. So I grew up in Denmark, right? I left, I left when, when I was 18 to go to Canada to, to work at Shopify. Um, and so I, like, I've, I would still say that I feel more Danish than, than Canadian.This is also the weird accent. I can't say th because it, this is like, I don't, you know, my wife is also Canadian, um, and I think. I think like one of the things in, in Denmark is just like, there's just such a ruthless pragmatism and there's also a big focus on just aesthetics. Like, they're like very, people really care about like where, what things look like.Um, and like Canada has a lot of attributes, US has, has a lot of attributes, but I think there's been lots of the great things to carry. I don't know what's in the water in Ahu though. Um, and I don't know that I could be considered part of the Mafi mafia quite yet, uh, compared to the phenomenal individuals we just mentioned.Barra OV is also, uh, Danish Canadian. Okay. Yeah. I don't know where he lives now, but, and he's the PHP.swyx: Yeah. And obviously Toby German, but moved to Canada as well. Yes. Like this is like import that, uh, that, that is an interesting, um, talent move.Alessio: I think. I would love to get from you. Definition of Turbo puffer, because I think you could be a Vector db, which is maybe a bad word now in some circles, you could be a search engine.It's like, let, let's just start there and then we'll maybe run through the history of how you got to this point.Simon Hørup Eskildsen: For sure. Yeah. So Turbo Puffer is at this point in time, a search engine, right? We do full text search and we do vector search, and that's really what we're specialized in. If you're trying to do much more than that, like then this might not be the right place yet, but Turbo Buffer is all about search.The other way that I think about it is that we can take all of the world's knowledge, all of the exabytes and exabytes of data that there is, and we can use those tokens to train a model, but we can't compress all of that into a few terabytes of weights, right? Compress into a few terabytes of weights, how to reason with the world, how to make sense of the knowledge.But we have to somehow connect it to something externally that actually holds that like in full fidelity and truth. Um, and that's the thing that we intend to become. Right? That's like a very holier than now kind of phrasing, right? But being the search engine for unstructured, unstructured data is the focus of turbo puffer at this point in time.Alessio: And let's break down. So people might say, well, didn't Elasticsearch already do this? And then some other people might say, is this search on my data, is this like closer to rag than to like a xr, like a public search thing? Like how, how do you segment like the different types of search?Simon Hørup Eskildsen: The way that I generally think about this is like, there's a lot of database companies and I think if you wanna build a really big database company, sort of, you need a couple of ingredients to be in the air.We don't, which only happens roughly every 15 years. You need a new workload. You basically need the ambition that every single company on earth is gonna have data in your database. Multiple times you look at a company like Oracle, right? You will, like, I don't think you can find a company on earth with a digital presence that it not, doesn't somehow have some data in an Oracle database.Right? And I think at this point, that's also true for Snowflake and Databricks, right? 15 years later it's, or even more than that, there's not a company on earth that doesn't, in. Or directly is consuming Snowflake or, or Databricks or any of the big analytics databases. Um, and I think we're in that kind of moment now, right?I don't think you're gonna find a company over the next few years that doesn't directly or indirectly, um, have all their data available for, for search and connect it to ai. So you need that new workload, like you need something to be happening where there's a new workload that causes that to happen, and that new workload is connecting very large amounts of data to ai.The second thing you need. The second condition to build a big database company is that you need some new underlying change in the storage architecture that is not possible from the databases that have come before you. If you look at Snowflake and Databricks, right, commoditized, like massive fleet of HDDs, like that was not possible in it.It just wasn't in the air in the nineties, right? So you just didn't, we just didn't build these systems. S3 and and and so on was not around. And I think the architecture that is now possible that wasn't possible 15 years ago is to go all in on NVME SSDs. It requires a particular type of architecture for the database that.It's difficult to retrofit onto the databases that are already there, including the ones you just mentioned. The second thing is to go all in on OIC storage, more so than we could have done 15 years ago. Like we don't have a consensus layer, we don't really have anything. In fact, you could turn off all the servers that Turbo Buffer has, and we would not lose any data because we have all completely all in on OIC storage.And this means that our architecture is just so simple. So that's the second condition, right? First being a new workload. That means that every company on earth, either indirectly or directly, is using your database. Second being, there's some new storage architecture. That means that the, the companies that have come before you can do what you're doing.I think the third thing you need to do to build a big database company is that over time you have to implement more or less every Cory plan on the data. What that means is that you. You can't just get stuck in, like, this is the one thing that a database does. It has to be ever evolving because when someone has data in the database, they over time expect to be able to ask it more or less every question.So you have to do that to get the storage architecture to the limit of what, what it's capable of. Those are the three conditions.swyx: I just wanted to get a little bit of like the motivation, right? Like, so you left Shopify, you're like principal, engineer, infra guy. Um, you also head of kernel labs, uh, inside of Shopify, right?And then you consulted for read wise and that it kind of gave you that, that idea. I just wanted you to tell that story. Um, maybe I, you've told it before, but, uh, just introduce the, the. People to like the, the new workload, the sort of aha moment for turbo PufferSimon Hørup Eskildsen: For sure. So yeah, I spent almost a decade at Shopify.I was on the infrastructure team, um, from the fairly, fairly early days around 2013. Um, at the time it felt like it was growing so quickly and everything, all the metrics were, you know, doubling year on year compared to the, what companies are contending with today. It's very cute in growth. I feel like lot some companies are seeing that month over month.Um, of course. Shopify compound has been compounding for a very long time now, but I spent a decade doing that and the majority of that was just make sure the site is up today and make sure it's up a year from now. And a lot of that was really just the, um, you know, uh, the Kardashians would drive very, very large amounts of, of data to, to uh, to Shopify as they were rotating through all the merch and building out their businesses.And we just needed to make sure we could handle that. Right. And sometimes these were events, a million requests per second. And so, you know, we, we had our own data centers back in the day and we were moving to the cloud and there was so much sharding work and all of that that we were doing. So I spent a decade just scaling databases ‘cause that's fundamentally what's the most difficult thing to scale about these sites.The database that was the most difficult for me to scale during that time, and that was the most aggravating to be on call for, was elastic search. It was very, very difficult to deal with. And I saw a lot of projects that were just being held back in their ambition by using it.swyx: And I mean, self-hosted.Self-hosted. ‘causeSimon Hørup Eskildsen: it's, yeah, and it commercial, this is like 2015, right? So it's like a very particular vintage. Right. It's probably better at a lot of these things now. Um, it was difficult to contend with and I'm just like, I just think about it. It's an inverted index. It should be good at these kinds of queries and do all of this.And it was, we, we often couldn't get it to do exactly what we needed to do or basically get lucine to do, like expose lucine raw to, to, to what we needed to do. Um, so that was like. Just something that we did on the side and just panic scaled when we needed to, but not a particular focus of mine. So I left, and when I left, I, um, wasn't sure exactly what I wanted to do.I mean, it spent like a decade inside of the same company. I'd like grown up there. I started working there when I was 18.swyx: You only do Rails?Simon Hørup Eskildsen: Yeah. I mean, yeah. Rails. And he's a Rails guy. Uh, love Rails. So good. Um,Alessio: we all wish we could still work in Rails.swyx: I know know. I know, but some, I tried learning Ruby.It's just too much, like too many options to do the same thing. It's, that's my, I I know there's a, there's a way to do it.Simon Hørup Eskildsen: I love it. I don't know that I would use it now, like given cloud code and, and, and cursor and everything, but, um, um, but still it, like if I'm just sitting down and writing a teal code, that's how I think.But anyway, I left and I wasn't, I talked to a couple companies and I was like, I don't. I need to see a little bit more of the world here to know what I'm gonna like focus on next. Um, and so what I decided is like I was gonna, I called it like angel engineering, where I just hopped around in my friend's companies in three months increments and just helped them out with something.Right. And, and just vested a bit of equity and solved some interesting infrastructure problem. So I worked with a bunch of companies at the time, um, read Wise was one of them. Replicate was one of them. Um, causal, I dunno if you've tried this, it's like a, it's a spreadsheet engine Yeah. Where you can do distribution.They sold recently. Yeah. Um, we've been, we used that in fp and a at, um, at Turbo Puffer. Um, so a bunch of companies like this and it was super fun. And so we're the Chachi bt moment happened, I was with. With read Wise for a stint, we were preparing for the reader launch, right? Which is where you, you cue articles and read them later.And I was just getting their Postgres up to snuff, like, which basically boils down to tuning, auto vacuum. So I was doing that and then this happened and we were like, oh, maybe we should build a little recommendation engine and some features to try to hook in the lms. They were not that good yet, but it was clear there was something there.And so I built a small recommendation engine just, okay, let's take the articles that you've recently read, right? Like embed all the articles and then do recommendations. It was good enough that when I ran it on one of the co-founders of Rey's, like I found out that I got articles about, about having a child.I'm like, oh my God, I didn't, I, I didn't know that, that they were having a child. I wasn't sure what to do with that information, but the recommendation engine was good enough that it was suggesting articles, um, about that. And so there was, there was recommendations and uh, it actually worked really well.But this was a company that was spending maybe five grand a month in total on all their infrastructure and. When I did the napkin math on running the embeddings of all the articles, putting them into a vector index, putting it in prod, it's gonna be like 30 grand a month. That just wasn't tenable. Right?Like Read Wise is a proudly bootstrapped company and it's paying 30 grand for infrastructure for one feature versus five. It just wasn't tenable. So sort of in the bucket of this is useful, it's pretty good, but let us, let's return to it when the costs come down.swyx: Did you say it grows by feature? So for five to 30 is by the number of, like, what's the, what's the Scaling factor scale?It scales by the number of articles that you embed.Simon Hørup Eskildsen: It does, but what I meant by that is like five grand for like all of the other, like the Heroku, dinos, Postgres, like all the other, and this then storage is 30. Yeah. And then like 30 grand for one feature. Right. Which is like, what other articles are related to this one.Um, so it was just too much right to, to power everything. Their budget would've been maybe a few thousand dollars, which still would've been a lot. And so we put it in a bucket of, okay, we're gonna do that later. We'll wait, we will wait for the cost to come down. And that haunted me. I couldn't stop thinking about it.I was like, okay, there's clearly some latent demand here. If the cost had been a 10th, we would've shipped it and. This was really the only data point that I had. Right. I didn't, I, I didn't, I didn't go out and talk to anyone else. It was just so I started reading Right. I couldn't, I couldn't help myself.Like I didn't know what like a vector index is. I, I generally barely do about how to generate the vectors. There was a lot of hype about, this is a early 2023. There was a lot of hype about vector databases. There were raising a lot of money and it's like, I really didn't know anything about it. It's like, you know, trying these little models, fine tuning them.Like I was just trying to get sort of a lay of the land. So I just sat down. I have this. A GitHub repository called Napkin Math. And on napkin math, there's just, um, rows of like, oh, this is how much bandwidth. Like this is how many, you know, you can do 25 gigabytes per second on average to dram. You can do, you know, five gigabytes per second of rights to an SSD, blah blah.All of these numbers, right? And S3, how many you could do per, how much bandwidth can you drive per connection? I was just sitting down, I was like, why hasn't anyone build a database where you just put everything on O storage and then you puff it into NVME when you use the data and you puff it into dram if you're, if you're querying it alive, it's just like, this seems fairly obvious and you, the only real downside to that is that if you go all in on o storage, every right will take a couple hundred milliseconds of latency, but from there it's really all upside, right?You do the first go, it takes half a second. And it sort of occurred to me as like, well. The architecture is really good for that. It's really good for AB storage, it's really good for nvm ESSD. It's, well, you just couldn't have done that 10 years ago. Back to what we were talking about before. You really have to build a database where you have as few round trips as possible, right?This is how CPUs work today. It's how NVM E SSDs work. It's how as, um, as three works that you want to have a very large amount of outstanding requests, right? Like basically go to S3, do like that thousand requests to ask for data in one round trip. Wait for that. Get that, like, make a new decision. Do it again, and try to do that maybe a maximum of three times.But no databases were designed that way within NVME as is ds. You can drive like within, you know, within a very low multiple of DRAM bandwidth if you use it that way. And same with S3, right? You can fully max out the network card, which generally is not maxed out. You get very, like, very, very good bandwidth.And, but no one had built a database like that. So I was like, okay, well can't you just, you know, take all the vectors right? And plot them in the proverbial coordinate system. Get the clusters, put a file on S3 called clusters, do json, and then put another file for every cluster, you know, cluster one, do js O cluster two, do js ON you know that like it's two round trips, right?So you get the clusters, you find the closest clusters, and then you download the cluster files like the, the closest end. And you could do this in two round trips.swyx: You were nearest neighbors locally.Simon Hørup Eskildsen: Yes. Yes. And then, and you would build this, this file, right? It's just like ultra simplistic, but it's not a far shot from what the first version of Turbo Buffer was.Why hasn't anyone done thatAlessio: in that moment? From a workload perspective, you're thinking this is gonna be like a read heavy thing because they're doing recommend. Like is the fact that like writes are so expensive now? Oh, with ai you're actually not writing that much.Simon Hørup Eskildsen: At that point I hadn't really thought too much about, well no actually it was always clear to me that there was gonna be a lot of rights because at Shopify, the search clusters were doing, you know, I don't know, tens or hundreds of crew QPS, right?‘cause you just have to have a human sit and type in. But we did, you know, I don't know how many updates there were per second. I'm sure it was in the millions, right into the cluster. So I always knew there was like a 10 to 100 ratio on the read write. In the read wise use case. It's, um, even, even in the read wise use case, there'd probably be a lot fewer reads than writes, right?There's just a lot of churn on the amount of stuff that was going through versus the amount of queries. Um, I wasn't thinking too much about that. I was mostly just thinking about what's the fundamentally cheapest way to build a database in the cloud today using the primitives that you have available.And this is it, right? You just, now you have one machine and you know, let's say you have a terabyte of data in S3, you paid the $200 a month for that, and then maybe five to 10% of that data and needs to be an NV ME SSDs and less than that in dram. Well. You're paying very, very little to inflate the data.swyx: By the way, when you say no one else has done that, uh, would you consider Neon, uh, to be on a similar path in terms of being sort of S3 first and, uh, separating the compute and storage?Simon Hørup Eskildsen: Yeah, I think what I meant with that is, uh, just build a completely new database. I don't know if we were the first, like it was very much, it was, I mean, I, I hadn't, I just looked at the napkin math and was like, this seems really obvious.So I'm sure like a hundred people came up with it at the same time. Like the light bulb and every invention ever. Right. It was just in the air. I think Neon Neon was, was first to it. And they're trying, they're retrofitted onto Postgres, right? And then they built this whole architecture where you have, you have it in memory and then you sort of.You know, m map back to S3. And I think that was very novel at the time to do it for, for all LTP, but I hadn't seen a database that was truly all in, right. Not retrofitting it. The database felt built purely for this no consensus layer. Even using compare and swap on optic storage to do consensus. I hadn't seen anyone go that all in.And I, I mean, there, there, I'm sure there was someone that did that before us. I don't know. I was just looking at the napkin mathswyx: and, and when you say consensus layer, uh, are you strongly relying on S3 Strong consistency? You are. Okay.SoSimon Hørup Eskildsen: that is your consensus layer. It, it is the consistency layer. And I think also, like, this is something that most people don't realize, but S3 only became consistent in December of 2020.swyx: I remember this coming out during COVID and like people were like, oh, like, it was like, uh, it was just like a free upgrade.Simon Hørup Eskildsen: Yeah.swyx: They were just, they just announced it. We saw consistency guys and like, okay, cool.Simon Hørup Eskildsen: And I'm sure that they just, they probably had it in prod for a while and they're just like, it's done right.And people were like, okay, cool. But. That's a big moment, right? Like nv, ME SSDs, were also not in the cloud until around 2017, right? So you just sort of had like 2017 nv, ME SSDs, and people were like, okay, cool. There's like one skew that does this, whatever, right? Takes a few years. And then the second thing is like S3 becomes consistent in 2020.So now it means you don't have to have this like big foundation DB or like zookeeper or whatever sitting there contending with the keys, which is how. You know, that's what Snowflake and others have do so muchswyx: for goneSimon Hørup Eskildsen: Exactly. Just gone. Right? And so just push to the, you know, whatever, how many hundreds of people they have working on S3 solved and then compare and swap was not in S3 at this point in time,swyx: by the way.Uh, I don't know what that is, so maybe you wanna explain. Yes. Yeah.Simon Hørup Eskildsen: Yes. So, um, what Compare and swap is, is basically, you can imagine that if you have a database, it might be really nice to have a file called metadata json. And metadata JSON could say things like, Hey, these keys are here and this file means that, and there's lots of metadata that you have to operate in the database, right?But that's the simplest way to do it. So now you have might, you might have a lot of servers that wanna change the metadata. They might have written a file and want the metadata to contain that file. But you have a hundred nodes that are trying to contend with this metadata that JSON well, what compare and Swap allows you to do is basically just you download the file, you make the modifications, and then you write it only if it hasn't changed.While you did the modification and if not you retry. Right? Should just have this retry loops. Now you can imagine if you have a hundred nodes doing that, it's gonna be really slow, but it will converge over time. That primitive was not available in S3. It wasn't available in S3 until late 2024, but it was available in GCP.The real story of this is certainly not that I sat down and like bake brained it. I was like, okay, we're gonna start on GCS S3 is gonna get it later. Like it was really not that we started, we got really lucky, like we started on GCP and we started on GCP because tur um, Shopify ran on GCP. And so that was the platform I was most available with.Right. Um, and I knew the Canadian team there ‘cause I'd worked with them at Shopify and so it was natural for us to start there. And so when we started building the database, we're like, oh yeah, we have to build a, we really thought we had to build a consensus layer, like have a zookeeper or something to do this.But then we discovered the compare and swap. It's like, oh, we can kick the can. Like we'll just do metadata r json and just, it's fine. It's probably fine. Um, and we just kept kicking the can until we had very, very strong conviction in the idea. Um, and then we kind of just hinged the company on the fact that S3 probably was gonna get this, it started getting really painful in like mid 2024.‘cause we were closing deals with, um, um, notion actually that was running in AWS and we're like, trust us. You, you really want us to run this in GCP? And they're like, no, I don't know about that. Like, we're running everything in AWS and the latency across the cloud were so big and we had so much conviction that we bought like, you know, dark fiber between the AWS regions in, in Oregon, like in the InterExchange and GCP is like, we've never seen a startup like do like, what's going on here?And we're just like, no, we don't wanna do this. We were tuning like TCP windows, like everything to get the latency down ‘cause we had so high conviction in not doing like a, a metadata layer on S3. So those were the three conditions, right? Compare and swap. To do metadata, which wasn't in S3 until late 2024 S3 being consistent, which didn't happen until December, 2020.Uh, 2020. And then NVMe ssd, which didn't end in the cloud until 2017.swyx: I mean, in some ways, like a very big like cloud success story that like you were able to like, uh, put this all together, but also doing things like doing, uh, bind our favor. That that actually is something I've never heard.Simon Hørup Eskildsen: I mean, it's very common when you're a big company, right?You're like connecting your own like data center or whatever. But it's like, it was uniquely just a pain with notion because the, um, the org, like most of the, like if you're buying in Ashburn, Virginia, right? Like US East, the Google, like the GCP and, and AWS data centers are like within a millisecond on, on each other, on the public exchanges.But in Oregon uniquely, the GCP data center sits like a couple hundred kilometers, like east of Portland and the AWS region sits in Portland, but the network exchange they go through is through Seattle. So it's like a full, like 14 milliseconds or something like that. And so anyway, yeah. It's, it's, so we were like, okay, we can't, we have to go through an exchange in Portland.Yeah. Andswyx: you'd rather do this than like run your zookeeper and likeSimon Hørup Eskildsen: Yes. Way rather. It doesn't have state, I don't want state and two systems. Um, and I think all that is just informed by Justine, my co-founder and I had just been on call for so long. And the worst outages are the ones where you have state in multiple places that's not syncing up.So it really came from, from a a, like just a, a very pure source of pain, of just imagining what we would be Okay. Being woken up at 3:00 AM about and having something in zookeeper was not one of them.swyx: You, you're talking to like a notion or something. Do they care or do they just, theySimon Hørup Eskildsen: just, they care about latency.swyx: They latency cost. That's it.Simon Hørup Eskildsen: They just cared about latency. Right. And we just absorbed the cost. We're just like, we have high conviction in this. At some point we can move them to AWS. Right. And so we just, we, we'll buy the fiber, it doesn't matter. Right. Um, and it's like $5,000. Usually when you buy fiber, you buy like multiple lines.And we're like, we can only afford one, but we will just test it that when it goes over the public internet, it's like super smooth. And so we did a lot of, anyway, it's, yeah, it was, that's cool.Alessio: You can imagine talking to the GCP rep and it's like, no, we're gonna buy, because we know we're gonna turn, we're gonna turn from you guys and go to AWS in like six months.But in the meantime we'll do this. It'sSimon Hørup Eskildsen: a, I mean, like they, you know, this workload still runs on GCP for what it's worth. Right? ‘cause it's so, it was just, it was so reliable. So it was never about moving off GCP, it was just about honesty. It was just about giving notion the latency that they deserved.Right. Um, and we didn't want ‘em to have to care about any of this. We also, they were like, oh, egress is gonna be bad. It was like, okay, screw it. Like we're just gonna like vvc, VPC peer with you and AWS we'll eat the cost. Yeah. Whatever needs to be done.Alessio: And what were the actual workloads? Because I think when you think about ai, it's like 14 milliseconds.It's like really doesn't really matter in the scheme of like a model generation.Simon Hørup Eskildsen: Yeah. We were told the latency, right. That we had to beat. Oh, right. So, so we're just looking at the traces. Right. And then sort of like hand draw, like, you know, kind of like looking at the trace and then thinking what are the other extensions of the trace?Right. And there's a lot more to it because it's also when you have, if you have 14 versus seven milliseconds, right. You can fit in another round trip. So we had to tune TCP to try to send as much data in every round trip, prewarm all the connections. And there was, there's a lot of things that compound from having these kinds of round trips, but in the grand scheme it was just like, well, we have to beat the latency of whatever we're up against.swyx: Which is like they, I mean, notion is a database company. They could have done this themselves. They, they do lots of database engineering themselves. How do you even get in the door? Like Yeah, just like talk through that kind of.Simon Hørup Eskildsen: Last time I was in San Francisco, I was talking to one of the engineers actually, who, who was one of our champions, um, at, AT Notion.And they were, they were just trying to make sure that the, you know, per user cost matched the economics that they needed. You know, Uhhuh like, it's like the way I think about, it's like I have to earn a return on whatever the clouds charge me and then my customers have to earn a return on that. And it's like very simple, right?And so there has to be gross margin all the way up and that's how you build the product. And so then our customers have to make the right set of trade off the turbo Puffer makes, and if they're happy with that, that's great.swyx: Do you feel like you're competing with build internally versus buy or buy versus buy?Simon Hørup Eskildsen: Yeah, so, sorry, this was all to build up to your question. So one of the notion engineers told me that they'd sat and probably on a napkin, like drawn out like, why hasn't anyone built this? And then they saw terrible. It was like, well, it literally that. So, and I think AI has also changed the buy versus build equation in terms of, it's not really about can we build it, it's about do we have time to build it?I think they like, I think they felt like, okay, if this is a team that can do that and they, they feel enough like an extension of our team, well then we can go a lot faster, which would be very, very good for them. And I mean, they put us through the, through the test, right? Like we had some very, very long nights to to, to do that POC.And they were really our biggest, our second big customer off the cursor, which also was a lot of late nights. Right.swyx: Yeah. That, I mean, should we go into that story? The, the, the sort of Chris's story, like a lot, um, they credit you a lot for. Working very closely with them. So I just wanna hear, I've heard this, uh, story from Sole's point of view, but like, I'm curious what, what it looks like from your side.Simon Hørup Eskildsen: I actually haven't heard it from Sole's point of view, so maybe you can now cross reference it. The way that I remember it was that, um, the day after we launched, which was just, you know, I'd worked the whole summer on, on the first version. Justine wasn't part of it yet. ‘cause I just, I didn't tell anyone that summer that I was working on this.I was just locked in on building it because it's very easy otherwise to confuse talking about something to actually doing it. And so I was just like, I'm not gonna do that. I'm just gonna do the thing. I launched it and at this point turbo puffer is like a rust binary running on a single eight core machine in a T Marks instance.And me deploying it was like looking at the request log and then like command seeing it or like control seeing it to just like, okay, there's no request. Let's upgrade the binary. Like it was like literally the, the, the, the scrappiest thing. You could imagine it was on purpose because just like at Shopify, we did that all the time.Like, we like move, like we ran things in tux all the time to begin with. Before something had like, at least the inkling of PMF, it was like, okay, is anyone gonna hear about this? Um, and one of the cursor co-founders Arvid reached out and he just, you know, the, the cursor team are like all I-O-I-I-M-O like, um, contenders, right?So they just speak in bullet points and, and facts. It was like this amazing email exchange just of, this is how many QPS we have, this is what we're paying, this is where we're going, blah, blah, blah. And so we're just conversing in bullet points. And I tried to get a call with them a few times, but they were, so, they were like really writing the PMF bowl here, just like late 2023.And one time Swally emails me at like five. What was it like 4:00 AM Pacific time saying like, Hey, are you open for a call now? And I'm on the East coast and I, it was like 7:00 AM I was like, yeah, great, sure, whatever. Um, and we just started talking and something. Then I didn't know anything about sales.It was something that just comp compelled me. I have to go see this team. Like, there's something here. So I, I went to San Francisco and I went to their office and the way that I remember it is that Postgres was down when I showed up at the office. Did SW tell you this? No. Okay. So Postgres was down and so it's like they were distracting with that.And I was trying my best to see if I could, if I could help in any way. Like I knew a little bit about databases back to tuning, auto vacuum. It was like, I think you have to tune out a vacuum. Um, and so we, we talked about that and then, um, that evening just talked about like what would it look like, what would it look like to work with us?And I just said. Look like we're all in, like we will just do what we'll do whatever, whatever you tell us, right? They migrated everything over the next like week or two, and we reduced their cost by 95%, which I think like kind of fixed their per user economics. Um, and it solved a lot of other things. And we were just, Justine, this is also when I asked Justine to come on as my co-founder, she was the best engineer, um, that I ever worked with at Shopify.She lived two blocks away and we were just, okay, we're just gonna get this done. Um, and we did, and so we helped them migrate and we just worked like hell over the next like month or two to make sure that we were never an issue. And that was, that was the cursor story. Yeah.swyx: And, and is code a different workload than normal text?I, I don't know. Is is it just text? Is it the same thing?Simon Hørup Eskildsen: Yeah, so cursor's workload is basically, they, um, they will embed the entire code base, right? So they, they will like chunk it up in whatever they would, they do. They have their own embedding model, um, which they've been public about. Um, and they find that on, on, on their evals.It. There's one of their evals where it's like a 25% improvement on a very particular workload. They have a bunch of blog posts about it. Um, I think it works best on larger code basis, but they've trained their own embedding model to do this. Um, and so you'll see it if you use the cursor agent, it will do searches.And they've also been public around, um, how they've, I think they post trained their model to be very good at semantic search as well. Um, and that's, that's how they use it. And so it's very good at, like, can you find me on the code that's similar to this, or code that does this? And just in, in this queries, they also use GR to supplement it.swyx: Yeah.Simon Hørup Eskildsen: Um, of courseswyx: it's been a big topic of discussion like, is rag dead because gr you know,Simon Hørup Eskildsen: and I mean like, I just, we, we see lots of demand from the coding company to ethicsswyx: search in every part. Yes.Simon Hørup Eskildsen: Uh, we, we, we see demand. And so, I mean, I'm. I like case studies. I don't like, like just doing like thought pieces on this is where it's going.And like trying to be all macroeconomic about ai, that's has turned out to be a giant waste of time because no one can really predict any of this. So I just collect case studies and I mean, cursor has done a great job talking about what they're doing and I hope some of the other coding labs that use Turbo Puffer will do the same.Um, but it does seem to make a difference for particular queries. Um, I mean we can also do text, we can also do RegX, but I should also say that cursors like security posture into Tur Puffer is exceptional, right? They have their own embedding model, which makes it very difficult to reverse engineer. They obfuscate the file paths.They like you. It's very difficult to learn anything about a code base by looking at it. And the other thing they do too is that for their customers, they encrypt it with their encryption keys in turbo puffer's bucket. Um, so it's, it's, it's really, really well designed.swyx: And so this is like extra stuff they did to work with you because you are not part of Cursor.Exactly like, and this is just best practice when working in any database, not just you guys. Okay. Yeah, that makes sense. Yeah. I think for me, like the, the, the learning is kind of like you, like all workloads are hybrid. Like, you know, uh, like you, you want the semantic, you want the text, you want the RegX, you want sql.I dunno. Um, but like, it's silly to like be all in on like one particularly query pattern.Simon Hørup Eskildsen: I think, like I really like the way that, um, um, that swally at cursor talks about it, which is, um, I'm gonna butcher it here. Um, and you know, I'm a, I'm a database scalability person. I'm not a, I, I dunno anything about training models other than, um, what the internet tells me and what.The way he describes is that this is just like cash compute, right? It's like you have a point in time where you're looking at some particular context and focused on some chunk and you say, this is the layer of the neural net at this point in time. That seems fundamentally really useful to do cash compute like that.And, um, how the value of that will change over time. I'm, I'm not sure, but there seems to be a lot of value in that.Alessio: Maybe talk a bit about the evolution of the workload, because even like search, like maybe two years ago it was like one search at the start of like an LLM query to build the context. Now you have a gentech search, however you wanna call it, where like the model is both writing and changing the code and it's searching it again later.Yeah. What are maybe some of the new types of workloads or like changes you've had to make to your architecture for it?Simon Hørup Eskildsen: I think you're right. When I think of rag, I think of, Hey, there's an 8,000 token, uh, context window and you better make it count. Um, and search was a way to do that now. Everything is moving towards the, just let the agent do its thing.Right? And so back to the thing before, right? The LLM is very good at reasoning with the data, and so we're just the tool call, right? And that's increasingly what we see our customers doing. Um, what we're seeing more demand from, from our customers now is to do a lot of concurrency, right? Like Notion does a ridiculous amount of queries in every round trip just because they can't.And I'm also now, when I use the cursor agent, I also see them doing more concurrency than I've ever seen before. So a bit similar to how we designed a database to drive as much concurrency in every round trip as possible. That's also what the agents are doing. So that's new. It means just an enormous amount of queries all at once to the dataset while it's warm in as few turns as possible.swyx: Can I clarify one thing on that?Simon Hørup Eskildsen: Yes.swyx: Is it, are they batching multiple users or one user is driving multiple,Simon Hørup Eskildsen: one user driving multiple, one agent driving.swyx: It's parallel searching a bunch of things.Simon Hørup Eskildsen: Exactly.swyx: Yeah. Yeah, exactly. So yeah, the clinician also did, did this for the fast context thing, like eight parallel at once.Simon Hørup Eskildsen: Yes.swyx: And, and like an interesting problem is, well, how do you make sure you have enough diversity so you're not making the the same request eight times?Simon Hørup Eskildsen: And I think like that's probably also where the hybrid comes in, where. That's another way to diversify. It's a completely different way to, to do the search.That's a big change, right? So before it was really just like one call and then, you know, the LLM took however many seconds to return, but now we just see an enormous amount of queries. So the, um, we just see more queries. So we've like tried to reduce query, we've reduced query pricing. Um, this is probably the first time actually I'm saying that, but the query pricing is being reduced, like five x.Um, and we'll probably try to reduce it even more to accommodate some of these workloads of just doing very large amounts of queries. Um, that's one thing that's changed. I think the right, the right ratio is still very high, right? Like there's still a, an enormous amount of rights per read, but we're starting probably to see that change if people really lean into this pattern.Alessio: Can we talk a little bit about the pricing? I'm curious, uh, because traditionally a database would charge on storage, but now you have the token generation that is so expensive, where like the actual. Value of like a good search query is like much higher because they're like saving inference time down the line.How do you structure that as like, what are people receptive to on the other side too?Simon Hørup Eskildsen: Yeah. I, the, the turbo puffer pricing in the beginning was just very simple. The pricing on these on for search engines before Turbo Puffer was very server full, right? It was like, here's the vm, here's the per hour cost, right?Great. And I just sat down with like a piece of paper and said like, if Turbo Puffer was like really good, this is probably what it would cost with a little bit of margin. And that was the first pricing of Turbo Puffer. And I just like sat down and I was like, okay, like this is like probably the storage amp, but whenever on a piece of paper I, it was vibe pricing.It was very vibe price, and I got it wrong. Oh. Um, well I didn't get it wrong, but like Turbo Puffer wasn't at the first principle pricing, right? So when Cursor came on Turbo Puffer, it was like. Like, I didn't know any VCs. I didn't know, like I was just like, I don't know, I didn't know anything about raising money or anything like that.I just saw that my GCP bill was, was high, was a lot higher than the cursor bill. So Justine and I was just like, well, we have to optimize it. Um, and I mean, to the chagrin now of, of it, of, of the VCs, it now means that we're profitable because we've had so much pricing pressure in the beginning. Because it was running on my credit card and Justine and I had spent like, like tens of thousands of dollars on like compute bills and like spinning off the company and like very like, like bad Canadian lawyers and like things like to like get all of this done because we just like, we didn't know.Right. If you're like steeped in San Francisco, you're just like, you just know. Okay. Like you go out, raise a pre-seed round. I, I never heard a word pre-seed at this point in time.swyx: When you had Cursor, you had Notion you, you had no funding.Simon Hørup Eskildsen: Um, with Cursor we had no funding. Yeah. Um, by the time we had Notion Locke was, Locke was here.Yeah. So it was really just, we vibe priced it 100% from first Principles, but it wasn't, it, it was not performing at first principles, so we just did everything we could to optimize it in the beginning for that, so that at least we could have like a 5% margin or something. So I wasn't freaking out because Cursor's bill was also going like this as they were growing.And so my liability and my credit limit was like actively like calling my bank. It was like, I need a bigger credit. Like it was, yeah. Anyway, that was the beginning. Yeah. But the pricing was, yeah, like storage rights and query. Right. And the, the pricing we have today is basically just that pricing with duct tape and spit to try to approach like, you know, like a, as a margin on the physical underlying hardware.And we're doing this year, you're gonna see more and more pricing changes from us. Yeah.swyx: And like is how much does stuff like VVC peering matter because you're working in AWS land where egress is charged and all that, you know.Simon Hørup Eskildsen: We probably don't like, we have like an enterprise plan that just has like a base fee because we haven't had time to figure out SKU pricing for all of this.Um, but I mean, yeah, you can run turbo puffer either in SaaS, right? That's what Cursor does. You can run it in a single tenant cluster. So it's just you. That's what Notion does. And then you can run it in, in, in BYOC where everything is inside the customer's VPC, that's what an for example, philanthropic does.swyx: What I'm hearing is that this is probably the best CRO job for somebody who can come in and,Simon Hørup Eskildsen: I mean,swyx: help you with this.Simon Hørup Eskildsen: Um, like Turbo Puffer hired, like, I don't know what, what number this was, but we had a full-time CFO as like the 12th hire or something at Turbo Puffer, um, I think I hear are a lot of comp.I don't know how they do it. Like they have a hundred employees and not a CFO. It's like having a CFO is like a runningswyx: business man. Like, you know,Simon Hørup Eskildsen: it's so good. Yeah, like money Mike, like he just, you know, just handles the money and a lot of the business stuff and so he came in and just hopped with a lot of the operational side of the business.So like C-O-O-C-F-O, like somewhere in between.swyx: Just as quick mention of Lucky, just ‘cause I'm curious, I've met Lock and like, he's obviously a very good investor and now on physical intelligence, um, I call it generalist super angel, right? He invests in everything. Um, and I always wonder like, you know, is there something appealing about focusing on developer tooling, focusing on databases, going like, I've invested for 10 years in databases versus being like a lock where he can maybe like connect you to all the customers that you need.Simon Hørup Eskildsen: This is an excellent question. No, no one's asked me this. Um, why lockey? Because. There was a couple of people that we were talking to at the time and when we were raising, we were almost a little, we were like a bit distressed because one of our, one of our peers had just launched something that was very similar to Turbo Puffer.And someone just gave me the advice at the time of just choose the person where you just feel like you can just pick up the phone and not prepare anything. And just be completely honest, and I don't think I've said this publicly before, but I just called Lockey and was like local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you.But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working. So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people and we're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards and.Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before. As I said, I didn't even know what a seed or pre-seed round was like before, probably even at this time. So I was just like very honest with him. And I asked him like, Lockie, have you ever have, have you ever invested in database company?He was just like, no. And at the time I was like, am I dumb? Like, but I think there was something that just like really drew me to Lockie. He is so authentic, so honest, like, and there was something just like, I just felt like I could just play like, just say everything openly. And that was, that was, I think that that was like a perfect match at the time, and, and, and honestly still is.He was just like, okay, that's great. This is like the most honest, ridiculous thing I've ever heard anyone say to me. But like that, like that, whyswyx: is this ridiculous? Say competitor launch, this may not work out. It wasSimon Hørup Eskildsen: more just like. If this doesn't work out, I'm gonna close up shop by the end of the mo the year, right?Like it was, I don't know, maybe it's common. I, I don't know. He told me it was uncommon. I don't know. Um, that's why we chose him and he'd been phenomenal. The other people were talking at the, at the time were database experts. Like they, you know, knew a lot about databases and Locke didn't, this turned out to be a phenomenal asset.Right. I like Justine and I know a lot about databases. The people that we hire know a lot about databases. What we needed was just someone who didn't know a lot about databases, didn't pretend to know a lot about databases, and just wanted to help us with candidates and customers. And he did. Yeah. And I have a list, right, of the investors that I have a relationship with, and Lockey has just performed excellent in the number of sub bullets of what we can attribute back to him.Just absolutely incredible. And when people talk about like no ego and just the best thing for the founder, I like, I don't think that anyone, like even my lawyer is like, yeah, Lockey is like the most friendly person you will find.swyx: Okay. This is my most glow recommendation I've ever heard.Alessio: He deserves it.He's very special.swyx: Yeah. Yeah. Yeah. Okay. Amazing.Alessio: Since you mentioned candidates, maybe we can talk about team building, you know, like, especially in sf, it feels like it's just easier to start a company than to join a company. Uh, I'm curious your experience, especially not being n SF full-time and doing something that is maybe, you know, a very low level of detail and technical detail.Simon Hørup Eskildsen: Yeah. So joining versus starting, I never thought that I would be a founder. I would start with it, like Turbo Puffer started as a blog post, and then it became a project and then sort of almost accidentally became a company. And now it feels like it's, it's like becoming a bigger company. That was never the intention.The intentions were very pure. It's just like, why hasn't anyone done this? And it's like, I wanna be the, like, I wanna be the first person to do it. I think some founders have this, like, I could never work for anyone else. I, I really don't feel that way. Like, it's just like, I wanna see this happen. And I wanna see it happen with some people that I really enjoy working with and I wanna have fun doing it and this, this, this has all felt very natural on that, on that sense.So it was never a like join versus versus versus found. It was just dis found me at the right moment.Alessio: Well I think there's an argument for, you should have joined Cursor, right? So I'm curious like how you evaluate it. Okay, I should actually go raise money and make this a company versus like, this is like a company that is like growing like crazy.It's like an interesting technical problem. I should just build it within Cursor and then they don't have to encrypt all this stuff. They don't have to obfuscate things. Like was that on your mind at all orSimon Hørup Eskildsen: before taking the, the small check from Lockie, I did have like a hard like look at myself in the mirror of like, okay, do I really want to do this?And because if I take the money, I really have to do it right. And so the way I almost think about it's like you kind of need to ha like you kind of need to be like fucked up enough to want to go all the way. And that was the conversation where I was like, okay, this is gonna be part of my life's journey to build this company and do it in the best way that I possibly can't.Because if I ask people to join me, ask people to get on the cap table, then I have an ultimate responsibility to give it everything. And I don't, I think some people, it doesn't occur to me that everyone takes it that seriously. And maybe I take it too seriously, I don't know. But that was like a very intentional moment.And so then it was very clear like, okay, I'm gonna do this and I'm gonna give it everything.Alessio: A lot of people don't take it this seriously. But,swyx: uh, let's talk about, you have this concept of the P 99 engineer. Uh, people are 10 x saying, everyone's saying, you know, uh, maybe engineers are out of a job. I don't know.But you definitely see a P 99 engineer, and I just want you to talk about it.Simon Hørup Eskildsen: Yeah, so the P 99 engineer was just a term that we started using internally to talk about candidates and talk about how we wanted to build the company. And you know, like everyone else is, like we want a talent dense company.And I think that's almost become trite at this point. What I credit the cursor founders a lot with is that they just arrived there from first principles of like, we just need a talent dense, um, talent dense team. And I think I've seen some teams that weren't talent dense and like seemed a counterfactual run, which if you've run in been in a large company, you will just see that like it's just logically will happen at a large company.Um, and so that was super important to me and Justine and it's very difficult to maintain. And so we just needed, we needed wording for it. And so I have a document called Traits of the P 99 Engineer, and it's a bullet point list. And I look at that list after every single interview that I do, and in every single recap that we do and every recap we end with.End with, um, some version of I'm gonna reject this candidate completely regardless of what the discourse was, because I wanna see people fight for this person because the default should not be, we're gonna hire this person. The default should be, we're definitely not hiring this person. And you know, if everyone was like, ah, maybe throw a punch, then this is not the right.swyx: Do, do you operate, like if there's one cha there must have at least one champion who's like, yes, I will put my career on, on, on the line for this. You know,Simon Hørup Eskildsen: I think career on the line,swyx: maybe a chair, butSimon Hørup Eskildsen: yeah. You know, like, um, I would say so someone needs to like, have both fists up and be like, I'd fight.Right? Yeah. Yeah. And if one person said, then, okay, let's do it. Right?swyx: Yeah.Simon Hørup Eskildsen: Um. It doesn't have to be absolutely everyone. Right? And like the interviews are always the sign that you're checking for different attributes. And if someone is like knocking it outta the park in every single attribute, that's, that's fairly rare.Um, but that's really important. And so the traits of the P 99 engineer, there's lots of them. There's also the traits of the p like triple nine engineer and the quadruple nine engineer. This is like, it's a long list.swyx: Okay.Simon Hørup Eskildsen: Um, I'll give you some samples, right. Of what we, what we look for. I think that the P 99 engineer has some history of having bent, like their trajectory or something to their will.Right? Some moment where it was just, they just, you know, made the computer do what it needed to do. There's something like that, and it will, it will occur to have them at some point in their career. And, uh. Hopefully multiple times. Right.swyx: Gimme an example of one of your engineers that like,Simon Hørup Eskildsen: I'll give an eng.Uh, so we, we, we launched this thing called A and NV three. Um, we could, we're also, we're working on V four and V five right now, but a and NV three can search a hundred billion vectors with a P 50 of around 40 milliseconds and a p 99 of 200 milliseconds. Um, maybe other people have done this, I'm sure Google and others have done this, but, uh, we haven't seen anyone, um, at least not in like a public consumable SaaS that can do this.And that was an engineer, the chief architect of Turbo Puffer, Nathan, um, who more or less just bent this, the software was not capable of this and he just made it capable for a very particular workload in like a, you know, six to eight week period with the help of a lot of the team. Right. It's been, been, there's numerous of examples of that, like at, at turbo puff, but that's like really bending the software and X 86 to your will.It was incredible to watch. Um. You wanna see some moments like that?swyx: Isn't that triple nine?Simon Hørup Eskildsen: Um, I think Nathan, what's calledAlessio: group nine, that was only nine. I feel like this is too high forSimon Hørup Eskildsen: Nathan. Nathan is, uh, Nathan is like, yeah, there's a lot of nines. Okay. After that p So I think that's one trait. I think another trait is that, uh, the P 99 spends a lot of time looking at maps.Generally it's their preferred ux. They just love looking at maps. You ever seen someone who just like, sits on their phone and just like, scrolls around on a map? Or did you not look at maps A lot? You guys don't look atswyx: maps? I guess I'm not feeling there. I don't know, butSimon Hørup Eskildsen: you just dis What about trains?Do you like trains?swyx: Uh, I mean they, not enough. Okay. This is just like weapon nice. Autism is what I call it. Like, like,Simon Hørup Eskildsen: um, I love looking at maps, like, it's like my preferred UX and just like I, you know, I likeswyx: lotsAlessio: of, of like random places, soswyx: like,youswyx: know.Alessio: Yes. Okay. There you go. So instead of like random places, like how do you explore the maps?Simon Hørup Eskildsen: No, it's, it's just a joke.swyx: It's autism laugh. It's like you are just obsessed by something and you like studying a thing.Simon Hørup Eskildsen: The origin of this was that at some point I read an interview with some IOI gold medalistswyx: Uhhuh,Simon Hørup Eskildsen: and it's like, what do you do in your spare time? I was just like, I like looking at maps.I was like, I feel so seen. Like, I just like love, like swirling out. I was like, oh, Canada is so big. Where's Baffin Island? I don't know. I love it. Yeah. Um, anyway, so the traits of P 99, P 99 is obsessive, right? Like, there's just like, you'll, you'll find traits of that we do an interview at, at, at, at turbo puffer or like multiple interviews that just try to screen for some of these things.Um, so. There's lots of others, but these are the kinds of traits that we look for.swyx: I'll tell you, uh, some people listen for like some of my dere stuff. Uh, I do think about derel as maps. Um, you draw a map for people, uh, maps show you the, uh, what is commonly agreed to be the geographical features of what a boundary is.And it shows also shows you what is not doing. And I, I think a lot of like developer tools, companies try to tell you they can do everything, but like, let's, let's be real. Like you, your, your three landmarks are here, everyone comes here, then here, then here, and you draw a map and, and then you draw a journey through the map.And like that. To me, that's what developer relations looks like. So I do think about things that way.Simon Hørup Eskildsen: I think the P 99 thinks in offs, right? The P 99 is very clear about, you know, hey, turbo puffer, you can't run a high transaction workload on turbo puffer, right? It's like the right latency is a hundred milliseconds.That's a clear trade off. I think the P 99 is very good at articulating the trade offs in every decision. Um. Which is exactly what the map is in your case, right?swyx: Uh, yeah, yeah. My, my, my world. My world.Alessio: How, how do you reconcile some of these things when you're saying you bend the will the computer versus like the trade

Local link building might sound technical, but at its core it is about relationships, reputation, and smart healthcare marketing. In this episode, Darcy breaks down how clinics can earn high quality local links that boost visibility in Google Search and Google Maps without turning link building into a full time job.You will learn what local link building actually is, why it matters so much for clinic websites, and where to find realistic link opportunities in your own backyard. From referral partners and community organizations to local media and resource guides, you will walk away with a practical plan you can start using right away.In this episode of The Clinic Marketing Podcast, you will discover how to:Turn existing professional relationships into safe, sustainable linksUse local directories, associations, and community involvement to support local SEOCreate simple content that naturally attracts local linksEvaluate which link opportunities are worth your time and which to skipIf you handle healthcare marketing for a clinic and want more “near me” visibility, stronger rankings, and more of the right patients finding you online, this episode is for you.>> Episode webpage and blog: https://propelyourcompany.com/local-link-building/Send in your questions. ❤ We'd love to hear from you!NEW Webinar: How to dominate Google Search, Google Maps, AI-driven search results, and get more new patients.>> Save your spot

À votre avis, pourquoi Rome a-t-elle eu une histoire aussi glorieuse ? Et si je vous disais… que c'était grâce à ses routes ? Qui aurait cru que la grandeur d'un empire tenait à l'enchevêtrement astucieux de gros pavés sur plusieurs couches de mortier, de cailloux, de pierres plates et de sol tassé ? C'est logique, des bonnes routes, ça permet de faire circuler facilement et rapidement les marchandises, les soldats, les gens, les ordres, les informations, les impôts, les messages… et les idées aussi.Mais la vérité, pour les archéologues, c'est qu'étudier les routes utilisées par les Romains, c'est pas si simple ! C'est pour ça qu'en novembre 2025, un nouveau projet a été publié dans "Scientific Data" : Itiner-e, une plateforme en ligne qui propose une base de données ouverte et géoréférencée des routes romaines autour de 150 de notre ère. C'est donc l'occasion de vous en toucher un mot !Bonne écoute !➤ Un grand merci à Gérard Coulon pour avoir accepté de nous répondre et pour sa disponibilité ! Il a notamment écrit :➜ "Les voies romaines en Gaule" : https://actes-sud.fr/catalogue/les-voies-romaines-en-gaule-020916➜ et "Pérégrinations dans la Gaule romaine et dans les provinces des Alpes et de Corse" avec Jean-Claude Golvin : https://actes-sud.fr/catalogue/peregrinations-dans-la-gaule-romaine-019431➤ Pour aller plus loin sur le sujet, découvrez :➜ Itiner-e : https://itiner-e.org/➜ Combien de temps pour un Paris/Marseille dans l'Empire Romain ? : https://youtu.be/bNTNv72QF04➜ Comment l'Empire romain est parvenu à rassembler des peuples si différents ? : https://youtu.be/hLQ3Bm0xfnA

“You and I, we’re part of this last analog generation. We had the opportunity to grow up in a time and age where our brains had to evolve against friction.” –Cornelia C. Walther About Cornelia C. Walther Cornelia C. Walther is Senior Fellow at Wharton School, a Visiting Research Fellow at Harvard University, and the Director of POZE, a global alliance for systemic change. She is author of many books, with her latest book, Artificial Intelligence for Inspired Action (AI4IA), due out shortly. She was previously a humanitarian leader working for over 20 years at the United Nations driving social change globally. Webiste: pozebeingchange LinkedIn Profile: Cornelia C. Walther University Profile: knowledge.wharton What you will learn How the ‘hybrid tipping zone’ between humans and AI shapes society’s future The dangers and consequences of ‘agency decay’ as individuals delegate critical thinking and action to AI The four accelerating phenomena influencing humanity: agency decay, AI mainstreaming, AI supremacy, and planetary deterioration Actionable frameworks, including ‘double literacy’ and the ‘A frame’, to balance human and algorithmic intelligence What defines ‘pro social AI’ and strategies to design, measure, and advocate for AI systems that benefit people and the planet The need to move beyond traditional ethics toward values-driven AI development and organizational ‘return on values’ Leadership principles for creating humane technology and building unique, purpose-led organizations in the age of AI Global contrasts in AI development (US, Europe, China, and the Global South) and emerging examples of pro social AI initiatives Episode Resources Transcript Ross Dawson: Cornelia, it is fantastic to have you on the show Cornelia Walther: Thank you for having me Ross. Ross: So your work is very wonderfully humans plus AI, in being able to look at humans and humanity and how we can amplify the best as possible. That’s one really interesting starting point is your idea of the hybrid tipping zone. Could you share with us what that is? Cornelia: Yes, happy to. I would argue that we’re currently navigating a very dangerous transition where we have four disconnected yet mutually accelerating phenomena happening. At the micro level, we have agency decay, and I’m sure we’ll talk more about that later, but individuals are gradually delegating ever more of their thinking, feeling, and doing to AI. We’re losing not only control, but also the appetite and ability to take on all of these aspects, which are part of being ourselves. At the meso level, we have AI mainstreaming, where institutions—public, private, academic—are rushing to jump on the AI train, even though there are no medium or long-term evidences about how the consequences will play out. Then at the macro level, we have the race towards AI supremacy, which, if we’re honest, is not just something that the tech giants are engaged in, but also governments, because this is not just about money, it’s also about power and geopolitical rivalry. And finally, at the meta level, we have the deterioration of the planet, with seven out of nine boundaries now crossed, some with partially irreversible damages. Now, you have these four phenomena happening in parallel, simultaneously, and mutually accelerating each other. So the time to do something—and I would argue that the human level is the one where we have the most leeway, at least for now, to act—is now. You and I, we’re part of this last analog generation. We had the opportunity to grow up in a time and age where our brains had to evolve against friction. I don’t know about you, but I didn’t have a cell phone when I was a child, so I still remember my grandmother’s phone number from when I was five years old. Today, I barely remember my own. Same thing with Google Maps—when was the last time you went to a city and explored with a paper map? Now, these are isolated functions in the brain, but with ChatGPT, there’s this general offloading opportunity, which is very convenient. But being human, I would argue, it’s a very dangerous luxury to have. Ross: I just want to dig down quite a lot in there, but I want to come back to this. So, just that phrase—the hybrid tipping zone. The hybrid is the humans plus AI, so humans and AI are essentially, whatever words we use, now working in tandem. The tipping zone suggests that it could tip in more than one way. So I suppose the issue then is, what are those futures? Which way could it tip, and what are the things we can do to push it in one way or another—obviously towards the more desirable outcome? Cornelia: Thank you. I think you’re pointing towards a very important aspect, which is that tipping points can be positive or negative, but the essential thing is that we can do something to influence which way it goes. Right now, we consider AI like this big phenomenon that is happening to us. It is not—it is happening with, amongst, and because of us. I think that is the big change that needs to happen in our minds, which is that AI is neutral at the end of the day. It’s a means to an end, not an end in itself. We have an opportunity to shift from the old saying—which I think still holds true—garbage in, garbage out, towards values in, values out. But for that, we need to start offline and think: what are the values that we stand for? What is the world that we want to live in and leave behind? As you know, I’m a big defender of pro social AI, which refers to AI systems that are deliberately tailored, trained, tested, and targeted to bring out the best in and for people and planet. Ross: So again, lots of angles to dig into, but I just want to come back to that agency decay. I created a framework around the cognitive impact of AI, going from, at the bottom, cognitive corruption and cognitive erosion, through to neutral aspects, to the potential for cognitive augmentation. There are some individuals, of course, who are getting their thinking corrupted or eroded, as you’ve suggested; others are using it well and in ways which are potentially enhancing their cognition. So, there is what individuals can do to be able to do that. There’s also what institutions, including education and employers, can do to provide the conditions where people are more likely to have a positive impact on cognition. But more broadly, the question is, again, how can we tip that more in the positive direction? Because absolutely, not just the potential, but the reality of cognitive erosion—or agency decay, as you describe it, which I think is a great phrase. So are there things we can do to move away from the widespread agency decay, which we are in danger of? Cornelia: Yeah, I think maybe we could marry our two frameworks, because the scale of agency decay that I have developed looks at experience, experimentation, integration, reliance, and addiction. I would say we have now passed the stage of experimentation, and most of us are very deeply into the field of integration. That means we’re just half a step away from reliance, where all of a sudden it becomes nearly unthinkable to write that email yourself, to do that calendar scheduling yourself, or to write that report from scratch. But that means we’re just one step away from full-blown addiction. At least now, we still have the possibility to compare the before and after, which comes back to us as an analog generation. Now is the time to invest in what I would call double literacy—a holistic understanding of our NI, our natural intelligence, but also our algorithmic, our AI. That requires a double literacy—not just AI literacy or digital literacy, but the complementarity of these two intelligences and their mutual influence, because none of them happens in a vacuum anymore. Ross: Absolutely, So what you described—experiment, integration, reliance, addiction—sounds like a slippery slope. So, what are the things we can do to mitigate or push back against that, to use AI without being over-reliant, and where that experiment leads to integration in a positive way? What can we do, either as individuals or as employers or institutions, to stop that negative slide and potentially push back to a more positive use and frame? Cornelia: A very useful tool that I have found resonates with many people is the A frame, which looks at awareness, appreciation, acceptance, and accountability. I have an alliteration affinity, as you can see. The awareness stage looks at the mindset itself and really disciplines us not to slip down that slope, but to be aware of the steps we’re taking. The appreciation is about what makes us, in our own NI, unique, and the appreciation of where, in combination with certain external tools, it can be better. We all have gaps, we all have weaknesses, and that’s what we have to accept. The human being, even though now it’s sometimes put in opposition to AI as the better one, is not perfect either. Like probably you and most of the listeners have read Thinking, Fast and Slow by Daniel Kahneman and many others—there are libraries about human heuristics, human fallacies, our inability for actual rational thinking. But the fact that you have read a book does not mean that you are immune to that. We need to accept that this is part of our modus operandi, and in the same way as we are imperfect, AI, in many different ways, is also imperfect. And finally, the accountability. Because at the end of the day, no matter how powerful our tools are going to be, we as the human decision makers should consider ourselves accountable for the outcomes. Ross: Absolutely, that’s one of the points I make. We can’t obviously make machines accountable—ultimately, the accountability resides in humans. So we have to design systems, which I think provides a bit of a transition to pro social AI. So what is pro social AI, how do we build it, how do we deploy that, and how do we make that the center of AI development? Cornelia: Thank you for that. Pro social AI, in a way, is very simple. It’s the intent that matters, but it starts from scratch, so you have the regenerative intent embedded into the algorithmic architecture. It has four key elements that can be measured, tracked, and can also serve to sensitize those who use it and those who design it—tailored, framed, tested, targeted. The pro social AI index that I’ve been working on over the past months combines that with the quadruple bottom line: purpose, people, profit, planet. Now all of a sudden, rather than talking in an airy-fairy way about ethical AI—which is great and necessary, but I would argue is not enough—we need to systematically think about how we can harness AI as a catalyst of positive transformation that is with environmental dignity and seeks planetary health. How can we measure that? Ross: And so, what are we measuring? Are we measuring an AI system, or what is the assessment tool? What is it that is being assessed? Cornelia: It’s the how and the what for. For example, what data has been used? Is the data really representative? We know that the majority of AI tools are biased. And the other question is, is it only used for efficiency and effectiveness, but to what end? Ross: Yes, as we are seeing in current conversations around the use of models at Anthropic and OpenAI, there are tools, and there are questions around how they are used, not just what the tools are. Cornelia: Yes, so again, it comes back to the need for awareness and for hybrid intelligence, because at the end of the day, we can’t rely on companies whose purpose is to make money to give systems that serve people and planet first and foremost. Ross: This goes on to another one of your wonderful framings, which is AI for IA—AI for inspired action—around this idea of how do we amplify humans and humanity. Of course, this goes on to everything we’ve been discussing so far. But I think one of the things which is very useful there is AI, in a way, leading to humans taking action which is inspired around envisaging what is possible. So, how can we inspire positive action by people in the framing we’ve discussed? Cornelia: AI for IA is the title of the new book that’s coming out next month. But also, as with most of the things I’m saying, it’s not about the technology—it’s about the human being. We can’t expect the technology of tomorrow to be better than the humans of today. As I said before, garbage in, garbage out, or values in, values out—it’s so simple and it’s so uncomfortable, it’s so cumbersome, right? Because we like quick fixes. But unfortunately, AI or technology in general is not going to save us from ourselves, and as it is right now, we’re straightforward on a trend to repeat the mistakes made during the first, second, and third industrial revolutions, where technology and innovation were driven primarily by commercial intent. Now, I would argue that this time around, we can’t leave it at that, because this fourth industrial revolution has such a strong impact on the way we think, feel, and interact, that we need to start in our very own little courtyard to think: what kind of me do I want to see amplified? Ross: Yes, yes. I’ve always thought that if AI amplifies us, or technology generally amplifies us, we will discover who we are, because the more we are amplified, the more we see ourselves writ large. But we have choices around, as you say, what aspects of who we are as individuals and as a society we can amplify. That’s the critical choice. So the question is, how do we bring awareness to your word around what it is about us that we want to amplify, and how do we then selectively amplify that, rather than also amplify the negative aspects of humanity? Cornelia: The first thing, and that’s a simple one, is the A frame. I would argue that’s something everyone can integrate in their daily routine in a very simple way, to remind us of the four A’s: awareness, appreciation, acceptance, accountability. The other one, at the institutional level, is the integration of double literacy. Right now, there’s a lot of hype in schools and at the governmental level about AI literacy and digital literacy. I think that’s only half of the equation. This is now an opportunity to take a step back and finally address this gap that has characterized education systems for many decades, where thinking and thinking about thinking—metacognition—is not taught in schools. Systems thinking, understanding cognitive biases, understanding interplays—now is the time to learn about that. If the future will be populated by humans that interact with artificial counterparts configured to address and exploit every single one of our human Achilles heels, then we would be better advised to know those Achilles heels. So, I think these are two relatively simple ways moving forward that could take us to a better place. Ross: So this goes to one of your other books on human leadership for humane technology. So leadership of course, everyone is a leader in who they touch. We also have more formal leaders of organizations, nations, political parties, NGOs, and so on. But just taking this into a business context, there are many leaders now of organizations trying to transform their organizations because they understand that the world is different, and they need to be a different organization. They still need to make money to pay for their staff and what they are doing to develop the organization, but they have multiple purposes and multiple stakeholders. So, just thinking from an organizational leader perspective, what does human leadership for humane technology mean? What does that look like? What are the behaviors? What are the ways we can see that would show us? Cornelia: I think first, it’s a reframing away from this very narrow scope of return on investment, which has characterized the business scene for many decades, and looking at return on values. What is the bigger picture that we are actually part of and shaping here? What’s the why at the end of the day? I think that matters for leaders who are in their place to guide others, and guidance is not just telling people what they have to do, but also inspiring them to want to do it. Inspiration, at the end of the day, is something that comes from the inside out, because you see in the other person something that you would like in yourself. Power and money are not it—it’s vision. I think this is maybe the one thing that is right now missing. We all tend to see the opportunity, but then we go with what everybody else is doing, because we don’t really take the time to step back and think, well, there is the path of everyone, and there’s another one—how should I explore that one? Especially amidst AI, where just upscaling your company with additional tools is not really going to set you apart, it matters twice as much to not just think about how do I do more of the same with less investment and faster, but what makes me unique, and how can I now use the artificial treasure chests to amplify that? Ross: Yes, yes. I think purpose is now well recognized beyond the business agenda. One of the critical aspects is that it attracts the most talented people, but also, over the years, we’ve had more and more opportunities to be different as an organization. Back in the late ’90s and so on, organizations looked more and more the same. Now there are more and more opportunities to be different. The way in which AI and other technologies are brought into organizations gives an extraordinary array of possibilities to be unique, as you’ve described, and distinctive, which gives you a competitive position as well as being able to attract people who are aligned with your purpose. Cornelia: Yes, exactly. But for that, you need to know your purpose first. Ross: From everything we’ve just been talking about, or anything else, are there any examples of organizations or initiatives that you think are exemplars or support the way in which, or show how, we could be approaching this well? Cornelia: I think—this will now sound very biased—but I’m currently working with Sunway University, and I think they are the kind of academic institution that is showing a different path, seeking to leverage technology to be more sustainable, bringing in dimensions such as planetary health, like the Sunway Centre for Planetary Health, and thinking about business in a re-envisioned way, with the Institute for Global Strategy and Competitiveness. I think there are examples at the institutional level, there are examples at the individual level, and sometimes the most inspiring individuals are not those that make the headlines. That’s maybe, sorry, just on that, for me the most important takeaway: no matter which place one is in the social food chain, the essential thing is, who are you and how can you inspire the person next to you to make it a better day, to make it a better future. Ross: Yes, in fact, that word “inspired,” as you mentioned before. So that’s Sunway University in Malaysia? Cornelia: I think they are definitely a very, very good illustration of that. Ross: Just pulling this back to the global frame, and this gets quite macro, but I think it is very important. It pulls together some of the things we’ve pointed to—the difference between the approach of the United States, China, Europe, in how they are, you know, essentially the leaders in AI and how they’re going about it, but where the global south more generally, I think there’s some interesting things. Arguably, there’s a far more positive attitude generally in the populations, a sense of the opportunity to transform themselves, but of course a very different orientation in how they want to use and apply AI and in creating value for individuals, nations, and society. So how would you frame those four—the US, China, Europe, and the global south—and how they are, or could be, approaching the development of AI? Cornelia: Thank you for that. I think right now there are three mainstream patterns: the US, which is—I’m overly simplifying and aware of that—the US path, which is business overall; the European model, which is regulation overall; and the Chinese model, which is state dominance. I would argue there’s a fourth path, and I think that’s where leaders in the global south can step in. You might know I’m working, on the one hand, in Malaysia and, on the other hand, in Morocco, on the development of a sort of national blueprint of what pro social AI can look like. I think now is the time—again, coming back to leadership—to think about how countries can walk a different path and be pioneers in a field that, yes, AI has been around for various decades, but the latest trend, the latest wave that is engulfing society since November 2022, is still relatively new. So why not have nations in the global south that are very different from the West chart their own path and make it pro social, pro people, pro planet, and pro potential—and that potential that they have themselves, which sets them apart and makes them unique. Ross: Absolutely. Again, you mentioned Malaysia, Morocco. Looking around the world, of course, India is prominent. There are some African nations which have done some very interesting things. Just trying to think, where are other examples of these kinds of domestically born pro social initiatives happening? Of course, the Middle East—it’s quite different, because they’re wealthy, though they’re not among the major leaders, but there’s a whole array of different examples. Where would you point to as things which show how we could be using pro social AI at a national or regional level? Cornelia: Unfortunately, right now, there is not one country where one could say they have taken it from A to Z, but I think there are very inspiring or positive examples. For example, Vietnam was the first country in ASEAN to endorse a law on AI ethics and regulation—I think that’s a very good one. Also, ASEAN has guidelines on ethics. All of these are points of departure. Switzerland did a very nice example of what public AI can look like. So there are a lot of very good examples. The question is not so much about what to do, I think, but how to do it, and why. At the end of the day, it’s really that simple. What’s the intent behind it? What do we want the post-2030 agenda to look like? We know that the SDG—Sustainable Development Goals—are not going to be fulfilled between now and 2030. So are we learning from these lessons, or are we following the track pattern of doing more of the same and maybe throwing in a couple of additional indicators, or can we really take a step back and look ourselves and the world in the face and think, what have we missed? Now, frame it however you want, but think about hybrid development goals and ways in which means and ends—society and business—come together into a more holistic equation that respects planetary health. Because at the end of the day, our survival still depends on the survival and flourishing of planet Earth, and some might cherish the idea of emigrating to Mars, but I still think that overall the majority of us would prefer to stay here. Ross: Yes, planet Earth is beautiful, and it’d be nice to keep it that way. How can people find more about your work? Could you just tell people about your new book and any resources where people can find out more? Cornelia: Thank you so much. They are very welcome to reach out via LinkedIn. Also, I’m writing regularly on Psychology Today, on Knowledge at Wharton, and various other platforms. The new book that you mentioned is coming out next month, and there will be another one, hopefully by the end of the year. Overall, feel free to reach out. I really feel that the more people get into this different trend of thinking, the better. But thank you so much for the opportunity. Ross: Thanks so much for all of your work, Cornelia. It’s very important. The post Cornelia C. Walther on AI for Inspired Action, return on values, prosocial AI, and the hybrid tipping zone (AC Ep35) appeared first on Humans + AI.

Watch the episode on YouTube: https://youtu.be/RIA2H4ScGGUSchedule a Meeting with Joshua TODAY!Is your website actually bringing in leads — or is it just sitting online like a digital business card?Most contractors invest thousands into a website, only to realize it never ranks on Google and rarely generates calls. Meanwhile, competitors show up in the Google Map Pack and capture 70% of local search traffic. The truth? Google has a specific structure it wants — and if your website doesn't match it, you're invisible. This episode breaks down exactly how to build a website that aligns with your Google Business Profile, earns trust with Google's algorithm, and positions you where customers are actually clicking.You will:Understand how to structure your website to mirror your Google Business Profile for better rankingsLearn the foundational SEO elements (metadata, H1s, content structure) most companies completely missDiscover how to optimize for Google Maps and AI search — without falling for “quick fix” SEO scamsPress play now to learn how to turn your website into a lead-generating asset that Google — and your ideal clients — can't ignore.Learn more about Tekton Growth by visiting the website: https://www.tektongrowth.com/Ready to get your copy of The CORE 10? Check it out HERE!Connect with Joshua at:The WebsiteThe Facebook GroupSales Master ClassesHow to work with Joshua - https://yes.express/apply/Tune into this podcast where a seasoned craftsman shares expert communication skills, strategies for overcoming stress and overwhelm, and insights on building a profitable business in landscaping and hardscaping, with tips on how to sell, close more deals, and achieve financial freedom to retire early as a successful business owner in the design/build and outdoor living industry. Music from #Uppbeat:https://uppbeat.io/t/abbynoise/puncherLicense code: AWUDIYK15E3NWYPK

Warum Antisemitismus ein Lackmustest für Demokratie ist; Lost in NRW mit Google Maps; Gibt es eine Renaissance der Kernenergie? Neue Chancen dank SMR?; Darum beginnt Heuschnupfen immer früher; Große Fragen in zehn Minuten: Beeinflusst Sprache unser Handeln?; QD Ergonomie - seriös oder Marketing?; Exzellenzuniversitäten - Wären weniger mehr?; Moderation: Johannes Döbbelt. Von WDR 5.

Season 5 is here and… we might already be losing control.We are back with a brand new season, upgraded podcast setup, same old shenanigans.In this episode we look ahead to some of the biggest events coming in 2026, including major movies, sporting events, and the huge J Cole concert coming to Johannesburg. But as usual… the conversation goes completely off the rails.Things get especially interesting when Rizaan channels his inner Bridgerton and somehow turns Google Maps into one of the funniest moments of the episode.We're also introducing two brand new segments this season:

New York City offers nearly unlimited activities, restaurants, and unique landmarks to explore. Wasting your time on overhyped or overpriced attractions can eat away at your valuable time in the city.In this article, we're gonna help you avoid wasted time and money by calling out five overrated NYC attractions you can keep OFF your itinerary.Plus, we'll provide alternatives to each of these common tourist traps.1- Serendipity 3The crowds are hectic, the ambiance is overstimulating, and none of the food or desserts we tried were very good.Instead, go to Caffè Panna or Grace Street.2- Statue of Liberty/Ellis IslandWe've covered this in full detail previously, but this experience is too long, too crowded, and too much waiting in line to be worth your time. Instead, take the free Staten Island Ferry or simply view the Statue of Liberty from Lower Manhattan.3- The Charging Bull in FiDi The crowds around this statue overstate what you'll actually get out of the experience. While passing by is great, we wouldn't go out of our way to view this statue. Instead, go to the 9/11 Memorial Pools.4- Central Park ZooThe Central Park Zoo is actually quite small, with not very many animals. If you want a zoo experience, go to the Bronx Zoo. It has 265 acres and SO many exhibitions.5- Museum of Ice Cream/Color/IllusionsIf social media didn't exist, neither would these "museums". Instead of spending the $30 or so for one of these money grabs, go to any of the iconic museums like the MoMA, The MET, or the Museum of Natural History.You'll Have to Check It Out - Swift Hibernian LoungeProbably the coziest Irish pub you'll find, with an unbelievable pour of Guinness. We also loved the communal table in the back section! Check out Swift here.Want even more NYC insights? Sign up for our 100% free newsletter to access:Dozens of Google Maps lists arranged by cuisine and location50+ page NYC Navigation Guide covering getting to & from airports, taking the subway & moreWeekly insights on top spots, upcoming events, and must-know NYC tipsGet started here: ⁠⁠⁠⁠⁠⁠https://rebrand.ly/nyc-navigation-guide

Few founders have seen Silicon Valley from every seat at the table.After co-creating Google Maps at Google, serving as CTO at Facebook, and later as co-CEO of Salesforce, Bret Taylor is now building AI agents at Sierra to redefine customer experience.On Grit, he explains why “competitive intensity” is a core value at their fast-growing company and why he believes AI won't lead to a world where people stop working.Guest: Bret Taylor, co-founder of SierraConnect with Bret XLinkedInConnect with JoubinXLinkedInEmail: grit@kleinerperkins.comFollow GritLinkedInX​Learn more about Kleiner Perkins:https://www.kleinerperkins.com/

Beth Mielbrecht is a Health Detective who works with brilliant, intuitive people who know their symptoms mean something, she helps people get exact answers, not more guessing. She uses digital muscle testing to find hidden imbalances and provides custom remedies with one-on-one coaching. Clients describe Beth as having 'Google Maps' for your health.She shares how digital muscle testing reveals hidden imbalances when traditional approaches keep missing what's wrong. Why your symptoms aren't random - they're your body's clearest communication. The real reason supplement cabinets stay full and bodies stay stuck. How to decode what your body is actually asking for and give it exactly that. How unaddressed health issues directly impact you, including the early warning signs of health-related decline before it costs you.She offers a quick 60-second quiz that helps decode what your body is really trying to tell you. Uncover your body's priority healing area and get Beth's personalized insights by private podcast and email.For more, visit: www.yourhealthwithbeth.comSend a textSupport the show Contact me at: postcardstotheuniverse@gmail.com Shout out and follow on IG - @postcardstotheuniverse https://linktr.ee/postcardstotheuniverse Thank you and keep listening for more great shows!

➡️ Help history. 2 minutes for 7 questions

Una mujer de 30 años dispara con un rifle en diez ocasiones contra la casa de Rihanna en EE. UU., con cuatro impactos en la vivienda. La policía la detiene sin heridos. En España, la manifestación del Día de la Mujer reúne a 35.000 personas, una cifra menor que en años anteriores. La jueza cita a la policía local por la pasarela de Santander que colapsó. Los vecinos de Santa Pau, Gerona, instalan un cartel pidiendo a Google Maps que corrija una ruta equivocada. En CADENA 100, se anuncia la actuación de Melendi en La Noche de CADENA 100 el 28 de marzo. Luz García de Burgos expresa su admiración por Bon Jovi, quien promueve comedores sociales en EE. UU. que ofrecen menús con dignidad. Madonna confirma que posee la camiseta del Celta de Vigo de 1990. Leire Martínez lanza su disco en solitario, resaltando la importancia de pedir ayuda. '¡Buenos días, Javi y Mar!' aborda el dilema de una oyente y anécdotas de objetos curiosos en casas ajenas. Michael Bublé también suena en el ...

En ‘¡Buenos días, Javi y Mar!' de CADENA 100 arrancamos el programa hablando de los espárragos amargos de Javi mientras Mar ya está soñando con una escapada a Cantabria. Nos metemos en esas situaciones incómodas en las que nadie hace ruido y también en despistes muy nuestros, como el famoso efecto foco o el efecto puerta que nos hace olvidar a qué íbamos. Comentamos un estudio del Hospital Gregorio Marañón que explica cómo, durante el embarazo, el cerebro de las madres pierde materia gris para adaptarse mejor al cuidado del bebé. También cotilleamos el nuevo disco vengativo de Lilly Allen, que llega con mensaje para su ex… y hasta con un vestido lleno de facturas de regalos a sus amantes. Recordamos la infancia de Celine Dion, escuchamos el disco de Nicky García —la voz que muchos reconocen de Google Maps— y contamos que Jude Law está grabando un nuevo anuncio. Además, Jimeno nos pone a prueba con sus jeroglíficos musicales dedicados a artistas femeninas, Fernando Martín vuelve con su ...

El 8 de marzo, 35.000 mujeres se manifiestan en España por la igualdad, con menor afluencia. En Irán, Mojtaba Hamenei toma el poder y dispara el precio de la gasolina. Policía de Santander declara por derrumbe de pasarela ya reportada en mal estado. En Santa Pau (Gerona), alerta: Google Maps desvía por calle estrecha, causando atascos. 'Efecto foco' (creer que nos miran) y 'efecto de la puerta' (olvidar al cambiar de espacio) son fenómenos psicológicos explicados. Estudio del Gregorio Marañón: madres pierden 5% de materia gris en embarazo para adaptarse al bebé. Se recuerda la humilde infancia de Celine Dion: de un cajón a estrella mundial. Nicky García, voz de Google Maps en español, lanza su primer disco. Galicia prohíbe venta de energéticas y vapeadores a menores; el gobierno central estudia extender la medida. Renfe estrena web para seguir trenes en tiempo real. Jude Law graba anuncio en Madrid, generando gran expectación.

Episode Summary If someone searches for a lawyer today, the first thing they often see is not a website. It is a map showing three law firms with star ratings and review counts beside them. For many potential clients, that is where the decision begins. In this episode of the Scalable Law Podcast, I explain why Google reviews have become one of the most influential factors affecting law firm visibility and client trust. Many law firms invest heavily in websites, branding and advertising, yet overlook a factor that is increasingly shaping how potential clients choose a lawyer. That factor is Google reviews. In this conversation, I walk through why reviews influence Google Maps visibility, how they shape client perception before a consultation even happens, and the practical steps law firms can take to build a strong and consistent review profile. What We Cover In this episode, I discuss: Why Google Maps has become a starting point for many legal searches How review volume, ratings and recency influence visibility in local search Why many strong law firms remain difficult to find online The role of Google reviews as modern digital word of mouth A simple system law firms can implement to consistently generate reviews I also explain why building a review strategy is less about marketing and more about creating a repeatable process inside your firm. What You'll Learn By the end of this episode, you will understand: Why Google reviews influence which law firms appear in local search results How reviews shape client trust before the first consultation The key review signals Google appears to prioritise When the best time is to request a client review How to build a simple workflow so reviews accumulate consistently over time These insights can help law firms strengthen both their online reputation and their visibility to potential clients searching for legal services. Free Resource If you want an easy way to start generating more Google reviews, we've created a FREE Law Firm Google Review Script Pack your team can use straight away. It includes simple email templates, SMS requests and conversation scripts to help you ask clients for reviews professionally and consistently. Share This Episode If you know another law firm owner who is investing heavily in marketing but still struggling to appear in Google Maps results, this episode may provide valuable perspective. Share the episode with them and help more firms understand how online reputation is shaping the future of legal client acquisition. Listen to the episode here. If you would like help building stronger marketing systems and visibility for your firm, you can also book a Law Firm Growth Call with our team. Share the episode and tag me. I'd love to know what resonated most. Apple Podcasts: Listen on Apple Spotify: Listen on Spotify YouTube: Watch on YouTube

Should doctors have their own Google Business Profile in addition to a location listing? This episode breaks down the difference between practitioner and practice profiles, when a separate doctor Google listing can help, and when it creates duplicate listings, split reviews, and patient confusion. You'll also learn what to do if a doctor leaves your practice but their Google Business Profile still shows your address, and how to protect your main location listing while you clean it up. Episode webpage, shownotes, and blog post: https://propelyourcompany.com/should-doctors-have-a-personal-google-business-profile-and-a-location-google-business-profile/Book a Google Business Profile Audit: https://propelyourcompany.com/google-business-profile-audit/Send in your questions. ❤ We'd love to hear from you!NEW Webinar: How to dominate Google Search, Google Maps, AI-driven search results, and get more new patients.>> Save your spot

Tonight we will be speaking to Seth and Seth writes "I grew up in Lynchburg, Virginia, and went to college there too. That's where this story took place. It's not a Bigfoot encounter at least I don't think it is. Honestly, I'm not sure what kind of encounter it was. All I know is that it happened to me. I've often wished someone could explain it, tell me what it was or what it meant. It happened on October 31, 2001, under a full blue moon, along one of the quietest stretches of the Blue Ridge Parkway. At the time, I was driving a 1970 Chevy Bel Air an old steel boat of a car and I had pulled into the James River overlook near Goff Mountain Road. It was close to midnight. The moon was so bright it almost felt like daytime. I shut the engine off and decided to stretch my legs. There's a small trail there that leads down toward a bench maybe a hundred yards from the parking area. I'd spent a lot of time in the woods so being out in the forest at night didn't bother me. I knew what normal nighttime woods felt like. And I also knew when something felt off. As I walked down the trail, the stillness felt unnatural. No breeze. No insects. No rustling. Nothing. I sat on the bench and looked through the bare branches while the moonlight spilled across the slope below. It was beautiful, but something about it felt wrong. Like I was being watched. Then I heard a Snap. A single limb breaking somewhere downslope, maybe fifty to a hundred yards away toward the Bellamy Creek drainage. At first I didn't think much of it deer snap branches all the time. Then it happened again. And again. What caught my attention wasn't just the sound it was the pattern. The breaks started coming from different directions. Not like one animal moving through the woods. I counted five, maybe ten distinct snaps, each spaced about four or five seconds apart. Then the timing changed. The snaps started coming faster… one every second or two… and they seemed to be moving in a circle around me. That was enough. Instinct kicked in, and I stood up and headed back to the car. When I got inside the car, I didn't start the engine right away. I just sat there with the keys in the ignition, ready to leave if I needed to. At first, nothing happened. Then something hit the hood. It sounded exactly like a Douglas fir cone hitting steel hard, solid, unmistakable. The problem was that there were no pine or fir trees there. Only deciduous trees, and by that time of year all their leaves had already fallen. There was nothing up there that could drop. Then another hit. Then they started falling faster like something was throwing them. They weren't rocks or dirt. Every impact sounded the same weight, the same size, the same hollow thunk of a heavy cone hitting metal. The hood, the roof, the trunk maybe even the sides of the car. But I couldn't see anything falling. Nothing bouncing off. Nothing rolling away. Just the sound. I looked up toward the treeline in front of me, expecting to see bare trunks and branches in the moonlight. Instead, I saw figures. At first I thought my eyes were playing tricks on me. The shapes looked like people standing among the trees. They weren't trees. They were tall figures six to seven feet high wearing what looked like long hoods or cloaks. Completely black. No faces. No hands. Just darkness beneath the hoods. Some stood still. Others seemed angled toward me. It was like they absorbed the moonlight instead of reflecting it. I turned to my left, toward the grassy median beside the car, and saw more shapes there. Maybe three to eight of them, lying flat on the ground like bodies. Each time I looked away and then looked back, they were closer. But they never moved while I was watching. No sound. No crawling. Just different positions every time my eyes shifted. Then I noticed something near the driver's side of the car. Three smaller figures, only five to ten feet away. These weren't tall like the ones near the trees. They were crouched or hunched close to the ground, almost like children playing. Under each hood there was a faint flicker like someone trying to light a cigarette lighter that never quite caught. Meanwhile the impacts on the car were coming faster and faster. At that point, instinct completely took over. I turned the key, threw the car into Drive, and sped out of the overlook as fast as I could. As I pulled away, those smaller figures were right beside my door. If the window had been open, I'm certain I could have reached out and touched them. They just watched. I drove for about five miles before finally pulling over. Nothing had followed me. When I got out and inspected the car, there wasn't a single dent. No scratches. No debris. Nothing at all that explained what I had heard hitting the car. I've looked at that location on maps many times since then. But I've never gone back in person. Not once. I haven't even driven that stretch of the Parkway again. There's one detail that still bothers me, though. When I later looked at the spot on Google Maps, the overlook where I had parked appeared to be on the wrong side of the road. I clearly remember pulling into it on the right side from the direction I was traveling. But according to the map, it should have been on the left. I've tried to make sense of that for years, and I still can't. For a long time, I never told anyone about this." Now, I'm telling you."

Favour Obasi-ike, MBA, MS delivers a deep dive into winning local SEO using Google Business Profile. He explains how local SEO works through the formula of product/service plus location, then breaks down the technical backbone — sitemaps, robots.txt, and no-index tags — revealing how one misconfigured tag can make an entire website invisible to Google. Real client case studies include a bakery in Georgia invisible on Google from two miles away, and a massage therapy business paying $16–$32 per click for keywords they could rank for organically. Dr. Fashion and Celese Williams contribute insights on keyword research, engagement, and why AI still needs the human element for conversions.Book SEO Services? Save These Quick Links for Later>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book SEO Services with Favour Obasi-ike⁠>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Purchase Flaev Beatz Beats Online>> Favour Obasi-ike Quick Links>> Start Recording your Podcast with Riverside Today | Sign Up with My Affiliate Link HereTimeline and Timestamps[00:13] Welcome and introduction[02:38] Dr. Fashion on the importance of online visibility.[04:34] Origin story of Google Maps and its free iPhone launch.[07:07] What is local SEO? Product/service + location formula.[19:58] No-index tags — how one setting blocks your entire site.[24:44] Dr. Fashion on targeting low-competition keywords.[27:28] Three essentials: Google Business Profile, website, social media.[36:10] Zip code marketing and the "set it and forget it" trap.[37:03] Google gives you 30 service slots — most businesses use only a few.[39:05] TAM, SAM, and serving within a 35-mile radius.[43:23] Google ranks webpages and links, not websites.[54:15] Organic traffic vs. paid ads for local businesses.[57:05] Case study: bakery invisible on Google from two miles away.[65:00] LinkedIn engagement at 3.8% vs. Instagram at 0.7%.[70:00] Podcasting as a nesting ground for compound growth.[77:41] E-E-A-T: Experience, Expertise, Authority, and Trust.[80:00] Celese on why AI needs human design for conversions.[86:01] Live SERP API search demo for Canadian results.Memorable Quotes"Google does not rank your website. Google ranks your webpage.""The only way to create capacity is by building it.""You can't even be on ChatGPT if you're not on Google.""I'd rather have so much organic feedback that I can run ad campaigns for branding, not survival.""If you don't have the words people type in your domain, you have no conversation."FAQs AnsweredWhat is local SEO?Product or service plus location, optimized so nearby people find you through search.What is a no-index tag?It tells search bots not to index a page. If left on by default, your entire site becomes invisible to Google.What are sitemaps and robots.txt?Sitemaps list your content for search engines. Robots.txt instructs bots on what to crawl or block. Both must work together.How many services can I list on GBP?Google allows about 30 service listings — most businesses only use a fraction.Does SEO still matter with AI search?Yes. If you are not on Google, you will not appear on ChatGPT, Perplexity, or any AI search tool.Key TakeawaysConnect your website to Google Search Console and ensure proper indexing. Use city and state in your URLs for local ranking. Fill all 30 service slots on GBP. Build organic content to reduce ad spend. LinkedIn outperforms Instagram for B2B.E-E-A-T is the code of conduct for local search visibility.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Your sister went off her meds, fled cops, got in a bar fight, and assaulted an officer. Now she faces felonies and won't let you help. It's Feedback Friday!And in case you didn't already know it, Jordan Harbinger (@JordanHarbinger) and Gabriel Mizrahi (@GabeMizrahi) banter and take your comments and questions for Feedback Friday right here every week! If you want us to answer your question, register your feedback, or tell your story on one of our upcoming weekly Feedback Friday episodes, drop us a line at friday@jordanharbinger.com. Now let's dive in!Full show notes and resources can be found here: jordanharbinger.com/1294On This Week's Feedback Friday:Your sister with schizoaffective disorder went off her meds, quit her job, led cops on a chase, started a bar fight, and injured an officer — and now she's facing felony charges while refusing your help and rejecting her own public defender. How do you save someone who won't be saved?You're pretty sure your wife's business partners are hiding financials, breaching the partnership agreement, and planning to retire while still collecting profits she earns — but she's terrified of "being mean." How do you help her find her backbone before they bleed her dry?Your selfless 69-year-old mom is being run ragged by your sister-in-law's marathon visits — nine-hour affairs with free meals, free babysitting, and zero cleanup — and she's too kind to say a word. She even quit her fitness class. How do you protect a woman who won't protect herself?Recommendation of the Week: Gabe recommends keeping a quick daily travel log in your phone's notes app and pinning your favorite spots on a custom Google Maps list so you can relive your trips more vividly — and share killer recs with friends headed to the same destinations.Your six-year-old son had a helmet-throwing meltdown at Little League, and now three families — including an assistant coach — have requested he not be on their team. You practiced an apology that never happened, and Opening Day is coming. How do you handle the awkward reunion?Have any questions, comments, or stories you'd like to share with us? Drop us a line at friday@jordanharbinger.com!Connect with Jordan on Twitter at @JordanHarbinger and Instagram at @jordanharbinger.Connect with Gabriel on Twitter at @GabeMizrahi and Instagram @gabrielmizrahi.And if you're still game to support us, please leave a review here — even one sentence helps! Sign up for Six-Minute Networking — our free networking and relationship development mini course — at jordanharbinger.com/course!Subscribe to our once-a-week Wee Bit Wiser newsletter today and start filling your Wednesdays with wisdom!Do you even Reddit, bro? Join us at r/JordanHarbinger!This Episode Is Brought To You By Our Fine Sponsors: Mint Mobile: Shop plans at mintmobile.com/jhsAudible: Visit audible.com/jhs or text JHS to 500-500Quiltmind: Email jordanaudience@quiltmind.com to get started or visit quiltmind.com for more infoThe President's Daily Brief: Listen here or wherever you find fine podcasts!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today's episode is really special: an eating, drinking, and coffee survey of the wonderful city of Copenhagen, the Danish capital that has for years been at the center of fine dining. While we're major fans of Noma and its influence on global dining is unparalleled, we are here to report that there is so much more going on in Copenhagen, and we find out why it's a northern European capital that punches well above its weight. First up, we have a really special conversation with Nick Curtin. Nick is the chef and cofounder of the Michelin-starred restaurant Alouette. Nick, an American, is not just an incredible chef but one who thinks well beyond the four walls of his restaurant. Next we go on a Copenhagen coffee tour with Klaus Thomsen, cofounder of pioneering coffee roaster Coffee Collective. We visit many of the city's most interesting cafés and find out why Copenhagen has long been an established leader in specialty coffee. After that, we speak with Søren Stig Stissing of architecture and spatial design firm BRIQ. We wanted to hear about one of the city's newly developed neighborhoods, Nordhavn, and how the iconic Danish design and urban planning sensibility plays out in real time. Finally we meet pastry chef and TV presenter Christel Hielscher for a conversation about fastelavnsboller, a traditional winter bun that Christel has dedicated her life to studying. She traveled the country to taste the country's best, and we hear about her journey. Throughout the episode, Clayton and Matt tell Aliza about all of their memorable eating and drinking experiences during the trip. Check out the Google Map to see all of the places we visit, and save for your own visit. Thank you Visit Denmark for supporting this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices

The Office of Personnel Management removed Claude and added Grok and Codex in an update to its public disclosure of AI use cases dated Wednesday. Removal of Claude comes after a disagreement between its maker, Anthropic, and the Department of Defense over the technology's guardrails culminated in President Donald Trump issuing a governmentwide ban on the company late last week. In the following days, numerous federal agencies have made moves to stop using Anthropic's services, including OPM. While the changes to the disclosure were made at the same time, Grok and Codex were not added as the result of Claude's removal, OPM spokeswoman McLaurine Pinover said in an emailed response to FedScoop. The human capital agency is “constantly working to provide the best tools to the OPM workforce. These initiatives were already underway,” Pinover said. According to the new inventory, the “first production use” for both tools is listed as the first quarter of 2026. Pinover confirmed that date references the calendar year rather than fiscal year. Grok, a product of Elon Musk's xAI, is listed as in production, and Codex, a coding specific AI tool from OpenAI, is being deployed in a sandbox phase — which generally describes a kind of controlled environment. OPM also added several other systems that deploy AI to its public disclosure, including Wiz, Zendesk, Waze, Google Maps, and the Apple iPhone. James “Aaron” Bishop has been tapped to serve as the Pentagon's chief information security officer and deputy CIO for cybersecurity, the department announced on social media Thursday. He assumed the role of CISO in an acting capacity on Feb. 27, according to a LinkedIn post from the Office of the Chief Information Officer. In his new position, he'll work under DOD CIO Kirsten Davies and be responsible for providing policy, technical, program and oversight support to the CIO on all cybersecurity matters. Bishop previously served as CISO for the Department of the Air Force, which includes the Air and Space Forces. According to his Air Force bio, his prior jobs in the private sector included CEO and founder of the Quantum Security Alliance, CEO and founder of Eigenspace, vice president and CISO for Science Applications International Corporation, and general manager of Microsoft's National Security Group, among other roles. David McKeown, who previously served as the department's CISO, deputy CIO for cybersecurity and special assistant for cybersecurity innovation, plans to leave government service for the private sector, according to the announcement. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Send a textIn this episode of the WTR Healthcare Happenings, Adam Fraser, COO of Omniscient Neurotechnology—a privately held, Australian‑based but U.S.-focused company pioneering AI‑driven brain mapping—joins Water Tower Research Co‑Founder Tim Gerdeman and Healthcare Analyst Robert Sassoon for a deep dive into the future of clinical connectomics. The discussion explores how Omniscient's flagship platform, Quicktome, uses advanced AI to transform complex brain data into intuitive, Google‑Maps‑style network visualizations that enhance neurosurgical planning, support coma and mental‑health assessments, and inform broader brain‑care decisions. Fraser also walks through the company's growth trajectory, funding milestones, and strategy to scale across the U.S. hospital market while laying the groundwork for global expansion and broader neurotech partnerships. The conversation concludes with Omniscient's long‑term vision to build a comprehensive “brain data economy” capable of powering next‑generation innovations—from BCIs and DBS to emerging solutions like TMS for major psychiatric conditions.

On this week's episode, the team unpacks how the sudden escalation in the Middle East is reverberating in Seoul. They break down the U.S. and Israel's strikes on Iran and the ensuing missile and drone attacks across the Gulf, then turn to the immediate questions for South Korea: energy security, shipping risk and market volatility tied to the Strait of Hormuz.  They also discuss President Lee Jae Myung's emergency response, including a 100 trillion won market-stabilization package, possible steps to curb fuel-price gouging and efforts to shore up oil and gas supplies, while weighing how long South Korea's reserves might last if disruption drags on. The episode then shifts to key developments at home: the government's long-delayed decision to allow Google to export high-definition map data under conditions shaped by security concerns and U.S. trade pressure, and renewed friction in the alliance after a contentious U.S. aerial drill near sensitive airspace and conflicting accounts over whether an apology was issued.  About the podcast: The Korea Pro Podcast is a weekly conversation hosted by Korea Risk Group Executive Director Jeongmin Kim, Managing Editor John Lee and correspondent Joon Ha Park, delivering deep, clear analysis of South Korean politics, diplomacy, security, society and technology for professionals who need more than headlines. Uploaded every Friday. This episode was recorded on Thursday, March 5th, 2026. Audio edited by Alannah Hill

If Google Analytics (GA4) leaves you feeling confused, but you still want to know which marketing efforts are actually working, this episode is for you. I am walking you through a simple “analytics stack” for clinics where GA4 stays in place behind the scenes, and Clicky becomes your clear, real-time dashboard for quick decisions that lead to more booked appointments.You will hear what Clicky is, how it pairs with GA4, and which six numbers to check each week so your team can spot trends, fix issues fast, and keep your website and marketing moving in the right direction. I also explain how to set Clicky up in just a few minutes and how to turn the data into practical next steps, even if you are not a numbers person.Webpage, blog post, & shownotes: https://propelyourcompany.com/simple-website-traffic-tracker/>> Get Started with Clicky - https://clicky.com/66422350 We are affiliates for Clicky because we genuinely use and recommend it for clinics. There is a free plan you can start with, and on the episode blog and show notes page, you will find screenshots, step-by-step setup visuals, and more.Send in your questions. ❤ We'd love to hear from you!NEW Webinar: How to dominate Google Search, Google Maps, AI-driven search results, and get more new patients.>> Save your spot

Dag 6 van de oorlog in Iran. Volgens het Witte Huis gaat het prima, maar het is ook de dag dat er (nog steeds) zorgen zijn om de hoge olieprijs. Beleggers wereldwijd vrezen toch dat het de inflatie gaat aanwakkeren. Met alle gevolgen van dien.Deze aflevering kijken we of deze oorlog een 'forever war' wordt en wat dat voor jouw beleggingen betekent. Ook of je je nu al moet wagen aan de 'buy the dip' van analisten van Citi.Ook gaat het deze aflevering over een van Hollands meest bekende techbedrijven. TomTom! Dat ziet oprichter én ceo Harold Goddijn vertrekken. Hij vindt het tijd voor nieuw leiderschap. Tijd om voor ons de balans op te maken: wat heeft hij in die 25 (!) jaar als ceo voor het bedrijf betekend? En kan TomTom nog een keer 25 jaar mee?Hoor je ook over de fabelachtige cijfers van Broadcom (dat de verkoop van AI-chips denkt te vervijfvoudigen), over het record van Boskalis en over de teleurstellende cijfers van China.Ook in deze aflevering: analistenpraatjes. Zogeheten pre-close calls tussen analist en bedrijf beïnvloeden de beurskoers, zegt de AFM. Maar het grijpt niet in. Tot woede van de VEB. Te gast: Erik Mauritz van Trade Republic BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

The sound of regional Australia. News and analysis from the ABC's network of regional reporters.

Love paranormal content and how we discuss it? Join The Parajunkie Fam today! www.patreon.com/hauntedcitypodcastIn today's segment of "Ghosts Caught on Camera," we are diving into seven of the most unsettling videos currently circulating the internet. From a bizarre celebrity doppelgänger caught on a red carpet to a literal UFO spotted on Google Maps in the Bermuda Triangle, these clips have left even us—professional paranormal investigators—completely stumped.In this episode, we break down:The "New" Jim Carrey: Is it a botched surgery, a stunt double, or something much more supernatural?Google Maps UFO: A parajunkie found a classic flying saucer in Bermuda. We zoom in to see the details.The Apartment Shadow: Watch as a dark entity runs full tilt through a solid wall, terrifying the household dogs.The "Bro Ghost": Why is this outdoor gym equipment moving on its own with perfect form?The Cathedral Spirits: 2:30 AM in an ancient Norwegian cathedral. The sounds of scampering aren't human.The Ghost Train: Two cars moving with no engine... and a pale "crawler" hitching a ride underneath.Do you have evidence? If you've caught something unexplainable on your phone or ring camera, send it to us!

On this week's episode of Hands-On Tech, Mikah helps out Mike with how he can have Google read his text messages aloud while using Google Maps and how to allow hands-free replies while driving. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

On this week's episode of Hands-On Tech, Mikah helps out Mike with how he can have Google read his text messages aloud while using Google Maps and how to allow hands-free replies while driving. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

On this week's episode of Hands-On Tech, Mikah helps out Mike with how he can have Google read his text messages aloud while using Google Maps and how to allow hands-free replies while driving. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

On this week's episode of Hands-On Tech, Mikah helps out Mike with how he can have Google read his text messages aloud while using Google Maps and how to allow hands-free replies while driving. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

On this week's episode of Hands-On Tech, Mikah helps out Mike with how he can have Google read his text messages aloud while using Google Maps and how to allow hands-free replies while driving. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

This week Jamal and Chris get into a no-news week in Wayfarer (no eMiLy updates, no Ambassador news) while shouting out a wave of new listeners and Chris powering through sickness and a whole lot of Canadian snow to keep the weekly streak alive. For Topic 1, the guys react to a forum post about a 30-day ban that spirals into a masterclass on what not to do—photos taken from inside the car, dashboard in frame, and using Google Maps images. From there, Jamal lays out his “If I ran Wayfarer for a day” list of instant 30-day ban offenses, from zero-effort submissions to fake trail markers, emoji-only titles, and more—plus the legendary return of the “Gazebo Bandit.” For Topic 2, they bring it back to the basics with the three pillars every review should revolve around: Explore, Exercise, or Social. They break down what each category really means (and why nominations only need to hit one), including a passionate defense of restaurants as legitimate social spaces. Then it's time for One's Gotta Go: Pizza Edition—New York vs Chicago deep dish vs Detroit vs Hawaiian—with some spicy takes ahead of Go Fest Chicago. Finally, they wrap with Wayspots of the Week (a stunning stained glass memorial window and a Three Stooges tombstone) and Coal of the Week featuring a “McPokey Place” nomination that's as bad as it sounds, plus a tease for an upcoming March Madness-style POI bracket. Stick around for: ✅ Spatial / Scopely News ✅ One's Gotta Go ✅ Wayspots / Coal of the Week ✅ Dad Jokes (of course!) Show Credits Hosts: Jamal Harvey & Chris Bell Writer: Jamal Harvey Producer: Jamal Harvey Executive Producer: Kate Konz Show Historian: Matty G Recorded: 26 Feb 2026 Published: 01 March 2026 Season 5, Episode 7 Contact Us ⁠⁠⁠⁠⁠⁠⁠⁠⁠wayspotters@pokemonprofessor.com⁠⁠⁠⁠⁠⁠⁠⁠⁠  Voicemail / SMS: 704-426-3710  Support the Show  Patreon: ⁠⁠⁠⁠⁠⁠⁠⁠⁠patreon.com/PokemonProfessor⁠⁠⁠⁠⁠⁠⁠⁠⁠  Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠wayspotters.com⁠⁠⁠⁠⁠⁠⁠⁠⁠  Follow! Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠@wayspotterspodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter/X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠@wayspotters⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠@imakewayspots⁠⁠⁠⁠⁠⁠⁠⁠⁠ YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠@WayspottersPodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitch: ⁠⁠⁠⁠⁠⁠⁠⁠⁠twitch.tv/pokemonprofessornetwork⁠⁠⁠⁠⁠⁠⁠⁠⁠ Community & Friends Wayfarer Discord: ⁠⁠⁠⁠⁠⁠⁠⁠⁠discord.gg/niawayfarer⁠⁠⁠⁠⁠⁠⁠⁠⁠ German Wayfarer Discord: ⁠⁠⁠⁠⁠⁠⁠⁠⁠discord.gg/ThTZCZH5⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook Group: ⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/groups/2241761169257836⁠⁠⁠⁠⁠⁠⁠⁠⁠ Solstice:

On this week's episode of Hands-On Tech, Mikah helps out Mike with how he can have Google read his text messages aloud while using Google Maps and how to allow hands-free replies while driving. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: NetSuite.com/hot

Episode 296 of iCantCU, I break down the Rokid Style Smart Glasses, compare them to my Ray-Ban Meta Smart Glasses, and explain why I made the difficult decision to cancel a long-planned YouTube workshop in Las Vegas. On the tech side, I dig into the Rokid Style specs—38.5 grams, 10-minute recording limits, multiple aspect ratios, 12-hour battery claims, and AI integrations including Google Maps and large language models. I also explain why the lack of 16:9 recording matters to creators, how Rokid's silence after my order raised red flags, and why the Ray-Ban Meta currently wins by default. But this episode goes beyond gadgets. I share what's happening with Ziggy's lymphoma diagnosis, the realities of chemotherapy treatment, and how that changed my travel plans. The takeaway? Tech matters. Community matters. Growth matters. But sometimes the right decision is staying home. What You'll Learn How Rokid Style compares to Ray-Ban Meta in battery life, recording limits, and aspect ratios Why 16:9 video still matters for serious YouTube creators The risks of ordering hyped tech without responsive customer support What living with a dog undergoing lymphoma treatment really looks like How to make tough travel decisions when family needs come first Listen to the episode and learn more at https://www.iCantCU.com/296/ Links Mentioned Product links are affiliate links so that I may earn a commission. Ray-Ban Meta Glasses: https://amzn.to/40w0TFc Rokid Style AI Smart Glasses: https://rokid.sjv.io/c/4693780/3736905/45256 Article on Engadget: https://www.engadget.com/wearables/rokid-introduces-display-free-ai-smartglasses-at-ces-2026-010017906.html?guccounter=2 InnoSearch shopping and travel booking site: https://www.innosearch.ai/us Federation Focus on the NFB of PA YouTube channel: https://www.youtube.com/@nfbofpa I edit the show with Descript and love it!: https://www.iCantCU.com/descript/ I process all audio using Auphonic: https://auphonic.com?source=dgdesignllc Be My Eyes app (free): https://www.bemyeyes.com/  Seeing AI app (free): https://www.seeingai.com/  That Real Blind Tech Show ep 195: https://podcasts.apple.com/us/podcast/episode-195-ces-26-hard-tech-and-soft-balls/id1526258077?i=1000744724124 Watch iCantCU episodes on YouTube: https://www.youtube.com/@iCantCU Support iCantCU When shopping at Amazon, I would appreciate it if you clicked on this link to make your purchases: https://www.iCantCU.com/amazon. I participate in the Amazon Associate Program and earn commissions on qualifying purchases. The best part is, you don't pay extra for doing this! White Canes Connect Podcast In episode 150 of White Canes Connect, host Simon Bonenfant launches his new Simon's Studio series by spotlighting the expansion of Sound of Tennis into Philadelphia. Originally introduced in 2015 by Court 16 in New York City, Sound of Tennis has empowered blind and visually impaired athletes to learn, practice, and compete in tennis using auditory cues and adaptive techniques. Now, through a new partnership at Court 16's Philadelphia location, the program brings weekly Monday sessions from 12 to 1 PM to Fishtown. Simon speaks with Maureen Holtz, Community Relations and Events Manager at Court 16, and Hildy Morales, an administrative assistant and passionate player, about the program's origins, its growth, the camaraderie among participants, and how listeners can get involved in this exciting new chapter for Philly. Listen on your favorite podcast player or at: Apple Podcasts https://podcasts.apple.com/us/podcast/%2410-000-national-convention-and-a-path-to-leadership/id1592248709?i=1000748743483 Spotify https://open.spotify.com/episode/6DQCH0AhQ2v17uuPBtyasm YouTube https://youtu.be/WoLZvZMp36s?si=QNkFfWsTXMf_NwSs White Canes Connect Website https://www.whitecanesconnect.com/149/       My Podcast Gear Here is all my gear and links to it on Amazon. I participate in the Amazon Associates Program and earn a commission on qualifying purchases. Zoom Podtrak P4: https://amzn.to/33Ymjkt Zoom ZDM Mic & Headphone Pack: https://amzn.to/33vLn2s Zoom H1n Recorder: https://amzn.to/3zBxJ9O  Gator Frameworks Desk Mounted Boom Arm: https://amzn.to/3AjJuBK Shure SM58 S Mic: https://amzn.to/3JOzofg  Sony ZV-E10 camera : https://amzn.to/4fFBSxM  GoPro Hero 11 Black: https://amzn.to/3SKI7WX Rode Video Micro (used on GoPro): https://amzn.to/4kVMJWI Sennheiser Headset (1st 162 episodes): https://amzn.to/3fM0Hu0  Follow iCantCU on your favorite podcast directory! Apple Podcasts: https://podcasts.apple.com/us/podcast/icantcu-podcast/id1445801370/  Spotify: https://open.spotify.com/show/3nck2D5HgD9ckSaUQaWwW2  Audible: https://www.audible.com/pd/iCantCU-Podcast-Podcast/B08JJM26BT  IHeart: https://www.iheart.com/podcast/256-icantcu-podcast-31157111/ YouTube: https://www.youtube.com/@iCantCU   Connect on Social Media Twitter: https://www.twitter.com/davidbenj Instagram: https://www.instagram.com/davidbenj Facebook: https://www.facebook.com/davidbenj LinkedIn: https://www.linkedin.com/in/davidbenj Are You or Do You Know A Blind Boss? If you or someone you know is crushing it in their field and is also blind, I want to hear from you! Call me at (646) 926-6350 and leave a message. Please include your name and town, and tell me who the Blind Boss is and why I need to have them on an upcoming episode. You can also email the show at iCantCUPodcast@gmail.com.

Block Announces Global Layoff Cutting 40% of Workforce, OpenAI Closes Massive $110B Funding Round at $730B Valuation, and South Korea Reverses Course Granting Google Permission to Export Geographic Data for Google Maps. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this wouldContinue reading "Netflix Abandons WBD Bid as Paramount-Skydance Ups All-Cash Offer – DTH"

In this episode of The Thriving Dentist Show, Gary Takacs and Naren Arulrajah explain how AI is changing the way patients find and choose a dentist in 2026. They break down how Google AI, ChatGPT, Gemini, and AI Overviews now shape search results, and why dentists must show up in Google Maps, organic SEO, and AI generated answers to stay competitive. You will learn what EEAT means for your dental website, why expert written content builds trust, and how AI driven search impacts dental marketing strategy and online visibility. Gary also shares why tracking new patient calls is still the most important marketing metric, and how to measure real ROI instead of chasing rankings alone. If you want more new patients, stronger Google rankings, and a clear plan for AI powered dental marketing, this episode delivers practical guidance you can act on right away. For a complimentary Marketing Strategy Meeting visit ekwa.com/td and for a Coaching Session with Gary visit thrivingdentist.com/csm.

Timon has gone viral, Jake had a stand up show in KC with Trey, Brad does a new segment called 'I'm not sexist but I have opinions,' and everyone shares their Super Bowl thoughts. Check out Cozy Earth and get 20% off site wide with this link: http://www.cozyearth.com/ghostrunners Check out Main Street Roasters and use code GRKC at check out for a 10% discount! https://mainstreetroasters.com Ghostrunners merch: https://bit.ly/399MXFu Become a Patron and get exclusive content from Jake & Brad: https://bit.ly/2XJ1h3y Follow us on Instagram: http://bit.ly/33WAq4P Leave us a voice memo and ask a question: https://anchor.fm/jake-triplett/message Learn more about your ad choices. Visit megaphone.fm/adchoices