Podcasts about hatchlings

Kendra Bergman is the founder of Coastal Connections, an amazing organization protecting the coastal habitats in Indian River County, Florida—with a special focus on sea turtle conservation. Bergman and her 150 dedicated volunteers not only educate the community, but also organize hands-on conservation trips—including journeys to Costa Rica, to safeguard sea turtles there. Chapters 00:00 – Intro & Welcome 03:25 – Sea Turtle Nest Excavation Story 06:28 – Conservation Challenges and Success Stories 11:28 – Coastal Monitoring and Florida's Conservation Network 16:20 – Sea Turtle Nesting Process and Hatchlings  25:38 – Rescue, Rehabilitation, and Plastic Pollution Initiatives 41:14 – Break 43:30 – Costa Rica Sea Turtle Advocacy 50:17 – Data-Driven Conservation and Future Plans 1:06:05 – Closing

Kevin Bachelder takes a break from his usual podcasting schedule and joins Leigh and Jon to chat about the Dragon Con Newbies group. Check out the Facebook Dragon Con Newbies Group We really want to hear from you! Call our DODC comment line – (813) 321-0884 Also, be sure to check out our Facebook and Twitter social […] The post 50 Days Of Dragon Con 2024 (Day 19) – Dragon Hatchlings first appeared on The Unique Geek.

Waterfowl like this Muscovy duckling spend up to 30 days in the egg, so they're able to walk, swim, and feed themselves as soon as they hatch. We call these chicks precocial. By contrast, the chicks of most songbirds spend less time maturing in the egg. They must continue to develop in the nest before heading out on their own. We call these hatchlings altricial since they depend on their parents to care for them.More info and transcript at BirdNote.org. Want more BirdNote? Subscribe to our weekly newsletter. Sign up for BirdNote+ to get ad-free listening and other perks. BirdNote is a nonprofit. Your tax-deductible gift makes these shows possible.

Resident CSI & Nature Conservationist, Tim Neary helps us better understanding the movements of turtle hatchings, the monitoring and tracking systems employed to better manage the population of sea turtles.See omnystudio.com/listener for privacy information.

Hundreds of baby sea turtles paraded across a sandy Nicaraguan shoreline over the weekend, their determined journey not only aimed at reaching the ocean, but also ensuring their species' continued survival.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Today I talk with Game Designer, Writer, Businesswomen and TTRPG Content Creator - Kathryn Oxenham.We discuss Hatchlings Games, Crowdfunding projects, Playbooks and much more.You can find Kathryn and all of her associated content via the links below.Twitter:https://twitter.com/Kessa_Braehttps://twitter.com/HatchlingDMWebsite:https://www.hatchlingsgames.co.uk/https://dragon-dowser.backerkit.com/hosted_preordersOther:https://www.instagram.com/hatchlings_games/?igshid=NTc4MTIwNjQ2YQ%3D%3Dhttps://www.kickstarter.com/projects/tatteredbear/cryptid-creeksCalibration Tools:https://drive.google.com/drive/folders/114jRmhzBpdqkAlhmveis0nmW73qkAZCjPlease leave reviews on ITunes to help us to learn and grow as a PodcastYours Sincerely,Adam 'Cosy' Powell~~~~~~~~~~CAST & CREWHost: Adam PowellGuest: Kathryn OxenhamSound Design: Adam PowellEdited by: Adam PowellMusic: Epidemic SoundCover Art: Tim Cunningham - www.Wix.com~~~~~~~~~~Website:https://linktr.ee/snydersreturnhttps://www.youtube.com/channel/UCIoZ8iiYCp919UHXUYGghbwhttps://www.redbubble.com/shop/?query=Roscoe%27s%20Chimkin&ref=search_boxBuy us a TTRPG Source Book: https://www.buymeacoffee.com/SnydersReturnAre you on DISCORD? Come hang out in our server! https://discord.gg/QgU5UNf Join us in the Snyder's Return Facebook Group!Visit https://www.patreon.com/snyders_return?fan_landing=true~~~~~~~~~~~Social Media:Twitter - https://twitter.com/ReturnSnyderInstagram -  Snyder's Return (@snyders_return)Email - snydersreturn@gmail.com~~~~~~~~~~~Support the showFind us on:Twitter https://twitter.com/ReturnSnyderInstagram https://www.instagram.com/snyders_return/Linktree https://linktr.ee/snydersreturn

Today I talk with Game Designer, Innovator, Business Owner and all-round supportive creative - Rich Oxenham of Hatchlings Games.We discuss their Kickstarter - Dragon Dowser, Inspirisles, Cryptid Creeks and much more.You can find Rich, Hatchlings Games and all of their associated content via the links below.Twitter:https://twitter.com/HatchlingDMWebsite:https://www.hatchlingsgames.co.uk/Other:https://www.kickstarter.com/projects/tatteredbear/dragon-dowserhttps://www.youtube.com/channel/UCqtezWx5b30DJ7TQiClfIUwhttps://www.instagram.com/rich_hatchlingdm/Calibration Tools:https://drive.google.com/drive/folders/114jRmhzBpdqkAlhmveis0nmW73qkAZCjPlease leave reviews on ITunes to help us to learn and grow as a PodcastYours Sincerely,Adam 'Cosy' Powell~~~~~~~~~~CAST & CREWHost: Adam PowellGuest: Rich Oxenham - Hatchlings GamesSound Design: Adam PowellEdited by: Adam PowellMusic: Epidemic SoundCover Art: Tim Cunningham - www.Wix.com~~~~~~~~~~Website:https://linktr.ee/snydersreturnhttps://www.youtube.com/channel/UCIoZ8iiYCp919UHXUYGghbwhttps://www.redbubble.com/shop/?query=Roscoe%27s%20Chimkin&ref=search_boxBuy us a TTRPG Source Book: https://www.buymeacoffee.com/SnydersReturnAre you on DISCORD? Come hang out in our server! https://discord.gg/QgU5UNf Join us in the Snyder's Return Facebook Group!Visit https://www.patreon.com/snyders_return?fan_landing=true~~~~~~~~~~~Social Media:Twitter - https://twitter.com/ReturnSnyderInstagram -  Snyder's Return (@snyders_return)Email - snydersreturn@gmail.com~~~~~~~~~~~Support the showFind us on:Twitter https://twitter.com/ReturnSnyderInstagram https://www.instagram.com/snyders_return/Linktree https://linktr.ee/snydersreturn

FACE YOUR FEARS! Baby Mokku Is Here!Sure, why not? This couldn't get any more bizarre. As the Radiant Winds draw near the end of their journey through the Fractal Jungle, they have some of their most curious encounters yet. Giant babies... strange mazes... mysteries of the past... the future is uncertain, but the past is full of horrors. Is it time for our brave adventurers to look back and face their greatest nightmare one last time? Or can they outrun their pasts, never growing from the fear that's been stricken into their hearts? READY?FIGHT!PLAY with the world's coolest baby! OBSERVE the strange art that boggles the mind! WITNESS the final fight between Sculptor and Phoenix!All this and more in this episode of Dice Will Roll, the Queerest Pathfinder Podcast on the Planet, where we ask the Hard Questions like... which of the cast members read Hetalia Yaoi as a kid. Go ahead, guess.CONTENT WARNINGS: Head Trauma, Jaw Trauma, Decapitation, Intense Angst, Whump, That Means Seriously The Angst Is Intense, Intense Hurt/Comfort, On-Screen Realistic Depictions of Panic Attacks and Sobbing, Body Trauma, Limb Trauma, Don't Worry It's A Lot Of Catharsis Too, Vocalization Of Self-Hatred, Plot Twist So Hardcore Not Even Ritz Can Make Jokes About It, BABY HOUR--Sound by Syrinscape: Because Your Games Deserve Epic SoundMusic by YouFulcaAdditional Music by McRo MusicEven More Additional Music by EmdascheEven More-er Additional Music by MojimbaTheme Song by Sim @TheSimulacraeArt by RanaOharaJungle Floor - by Jonny Easton Link: https://www.youtube.com/watch?v=FtJ03-g83YgLost | Dark Piano Music | Royalty free Music by Jonathan Segev https://www.youtube.com/watch?v=IxoQBKUKLV8"LIGHTS" by Alex Productions https://www.youtube.com/watch?v=XQaNaFtI11Q&list=PLfP6i5T0-DkKt8eo7u222EnUO4N7Q3raT Get extra loot on our Patreon! Hosted on Acast. See acast.com/privacy for more information.

Welcome back to the amazing Rich Oxenham, creator of Inspirisles and face behind Hatchlings Games. This week join me, Zach Walsh, as I catch up and learn more about this currently backing project, plus two more on the horizon! We talk about collaboration, creativity and running a business!Catch Rich and Hatchlings Games here!Dragon Dowser Kickstarter - https://www.kickstarter.com/projects/tatteredbear/dragon-dowser?ref=discovery&term=dragon%20dowserCryptid Creeks Launch Page - https://www.kickstarter.com/projects/tatteredbear/cryptid-creeks?ref=discoveryTwitter - https://twitter.com/HatchlingDMHatchlings Games Website - https://www.hatchlingsgames.co.uk/Find me below!Twitter - https://twitter.com/Schedule4LaunchEmail - scheduledforlaunch@gmail.com Hosted on Acast. See acast.com/privacy for more information.

Apparently John Durham's "imagination" couldn't extend to the possibility that Trump has been a Russian asset for at least 30 years and continues to be one to this day. Why? Does everything Trump touches die? CNN Loses to Newsmax in Prime-time Ratings Two Days After Trump Town Hall. Is the EPA finally waking up from the Trump disaster? Crazy Alert! Apparently Rudy Giuliani was in a Viagra/alcohol haze much of the time. If I Only Had a Brain Alert! Driver switches with dog to avoid DUI & Dog gets off with a warning....man doesn't.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Photo: No known restrictions on publication. @Batchelorshow #OzWatch: Most venomous Eastern Brown hatchlings are born angry.  Jeremy Zakis, New South Wales. #FriendsofHistoryDebatingSociety https://www.9news.com.au/national/snake-news-australia-hatchlings-are-still-being-born-experts-concerned-exclusive/b9d47a2e-59d8-4e83-896b-6ec3ee2c3e6c

2023 is the year of Multimodal AI, and Latent Space is going multimodal too! * This podcast comes with a video demo at the 1hr mark and it's a good excuse to launch our YouTube - please subscribe! * We are also holding two events in San Francisco — the first AI | UX meetup next week (already full; we'll send a recap here on the newsletter) and Latent Space Liftoff Day on May 4th (signup here; but get in touch if you have a high profile launch you'd like to make). * We also joined the Chroma/OpenAI ChatGPT Plugins Hackathon last week where we won the Turing and Replit awards and met some of you in person!This post featured on Hacker News.Out of the five senses of the human body, I'd put sight at the very top. But weirdly when it comes to AI, Computer Vision has felt left out of the recent wave compared to image generation, text reasoning, and even audio transcription. We got our first taste of it with the OCR capabilities demo in the GPT-4 Developer Livestream, but to date GPT-4's vision capability has not yet been released. Meta AI leapfrogged OpenAI and everyone else by fully open sourcing their Segment Anything Model (SAM) last week, complete with paper, model, weights, data (6x more images and 400x more masks than OpenImages), and a very slick demo website. This is a marked change to their previous LLaMA release, which was not commercially licensed. The response has been ecstatic:SAM was the talk of the town at the ChatGPT Plugins Hackathon and I was fortunate enough to book Joseph Nelson who was frantically integrating SAM into Roboflow this past weekend. As a passionate instructor, hacker, and founder, Joseph is possibly the single best person in the world to bring the rest of us up to speed on the state of Computer Vision and the implications of SAM. I was already a fan of him from his previous pod with (hopefully future guest) Beyang Liu of Sourcegraph, so this served as a personal catchup as well. Enjoy! and let us know what other news/models/guests you'd like to have us discuss! - swyxRecorded in-person at the beautiful StudioPod studios in San Francisco.Full transcript is below the fold.Show Notes* Joseph's links: Twitter, Linkedin, Personal* Sourcegraph Podcast and Game Theory Story* Represently* Roboflow at Pioneer and YCombinator* Udacity Self Driving Car dataset story* Computer Vision Annotation Formats* SAM recap - top things to know for those living in a cave* https://segment-anything.com/* https://segment-anything.com/demo* https://arxiv.org/pdf/2304.02643.pdf * https://ai.facebook.com/blog/segment-anything-foundation-model-image-segmentation/* https://blog.roboflow.com/segment-anything-breakdown/* https://ai.facebook.com/datasets/segment-anything/* Ask Roboflow https://ask.roboflow.ai/* GPT-4 Multimodal https://blog.roboflow.com/gpt-4-impact-speculation/Cut for time:* WSJ mention* Des Moines Register story* All In Pod: timestamped mention* In Forbes: underrepresented investors in Series A* Roboflow greatest hits* https://blog.roboflow.com/mountain-dew-contest-computer-vision/* https://blog.roboflow.com/self-driving-car-dataset-missing-pedestrians/* https://blog.roboflow.com/nerualhash-collision/ and Apple CSAM issue * https://www.rf100.org/Timestamps* [00:00:19] Introducing Joseph* [00:02:28] Why Iowa* [00:05:52] Origin of Roboflow* [00:16:12] Why Computer Vision* [00:17:50] Computer Vision Use Cases* [00:26:15] The Economics of Annotation/Segmentation* [00:32:17] Computer Vision Annotation Formats* [00:36:41] Intro to Computer Vision & Segmentation* [00:39:08] YOLO* [00:44:44] World Knowledge of Foundation Models* [00:46:21] Segment Anything Model* [00:51:29] SAM: Zero Shot Transfer* [00:51:53] SAM: Promptability* [00:53:24] SAM: Model Assisted Labeling* [00:56:03] SAM doesn't have labels* [00:59:23] Labeling on the Browser* [01:00:28] Roboflow + SAM Video Demo * [01:07:27] Future Predictions* [01:08:04] GPT4 Multimodality* [01:09:27] Remaining Hard Problems* [01:13:57] Ask Roboflow (2019)* [01:15:26] How to keep up in AITranscripts[00:00:00] Hello everyone. It is me swyx and I'm here with Joseph Nelson. Hey, welcome to the studio. It's nice. Thanks so much having me. We, uh, have a professional setup in here.[00:00:19] Introducing Joseph[00:00:19] Joseph, you and I have known each other online for a little bit. I first heard about you on the Source Graph podcast with bian and I highly, highly recommend that there's a really good game theory story that is the best YC application story I've ever heard and I won't tease further cuz they should go listen to that.[00:00:36] What do you think? It's a good story. It's a good story. It's a good story. So you got your Bachelor of Economics from George Washington, by the way. Fun fact. I'm also an econ major as well. You are very politically active, I guess you, you did a lot of, um, interning in political offices and you were responding to, um, the, the, the sheer amount of load that the Congress people have in terms of the, the support.[00:01:00] So you built, representing, which is Zendesk for Congress. And, uh, I liked in your source guide podcast how you talked about how being more responsive to, to constituents is always a good thing no matter what side of the aisle you're on. You also had a sideline as a data science instructor at General Assembly.[00:01:18] As a consultant in your own consultancy, and you also did a bunch of hackathon stuff with Magic Sudoku, which is your transition from N L P into computer vision. And apparently at TechCrunch Disrupt, disrupt in 2019, you tried to add chess and that was your whole villain origin story for, Hey, computer vision's too hard.[00:01:36] That's full, the platform to do that. Uh, and now you're co-founder c e o of RoboFlow. So that's your bio. Um, what's not in there that[00:01:43] people should know about you? One key thing that people realize within maybe five minutes of meeting me, uh, I'm from Iowa. Yes. And it's like a funnily novel thing. I mean, you know, growing up in Iowa, it's like everyone you know is from Iowa.[00:01:56] But then when I left to go to school, there was not that many Iowans at gw and people were like, oh, like you're, you're Iowa Joe. Like, you know, how'd you find out about this school out here? I was like, oh, well the Pony Express was running that day, so I was able to send. So I really like to lean into it.[00:02:11] And so you kind of become a default ambassador for places that. People don't meet a lot of other people from, so I've kind of taken that upon myself to just make it be a, a part of my identity. So, you know, my handle everywhere Joseph of Iowa, like I I, you can probably find my social security number just from knowing that that's my handle.[00:02:25] Cuz I put it plastered everywhere. So that's, that's probably like one thing.[00:02:28] Why Iowa[00:02:28] What's your best pitch for Iowa? Like why is[00:02:30] Iowa awesome? The people Iowa's filled with people that genuinely care. You know, if you're waiting a long line, someone's gonna strike up a conversation, kinda ask how you were Devrel and it's just like a really genuine place.[00:02:40] It was a wonderful place to grow up too at the time, you know, I thought it was like, uh, yeah, I was kind of embarrassed and then be from there. And then I actually kinda looking back it's like, wow, you know, there's good schools, smart people friendly. The, uh, high school that I went to actually Ben Silverman, the CEO and, or I guess former CEO and co-founder of Pinterest and I have the same teachers in high school at different.[00:03:01] The co-founder, or excuse me, the creator of crispr, the gene editing technique, Dr. Jennifer. Doudna. Oh, so that's the patent debate. There's Doudna. Oh, and then there's Fang Zang. Uh, okay. Yeah. Yeah. So Dr. Fang Zang, who I think ultimately won the patent war, uh, but is also from the same high school.[00:03:18] Well, she won the patent, but Jennifer won the[00:03:20] prize.[00:03:21] I think that's probably, I think that's probably, I, I mean I looked into it a little closely. I think it was something like she won the patent for CRISPR first existing and then Feng got it for, uh, first use on humans, which I guess for commercial reasons is the, perhaps more, more interesting one. But I dunno, biolife Sciences, is that my area of expertise?[00:03:38] Yep. Knowing people that came from Iowa that do cool things, certainly is. Yes. So I'll claim it. Um, but yeah, I, I, we, um, at Roble actually, we're, we're bringing the full team to Iowa for the very first time this last week of, of April. And, well, folks from like Scotland all over, that's your company[00:03:54] retreat.[00:03:54] The Iowa,[00:03:55] yeah. Nice. Well, so we do two a year. You know, we've done Miami, we've done. Some of the smaller teams have done like Nashville or Austin or these sorts of places, but we said, you know, let's bring it back to kinda the origin and the roots. Uh, and we'll, we'll bring the full team to, to Des Moines, Iowa.[00:04:13] So, yeah, like I was mentioning, folks from California to Scotland and many places in between are all gonna descend upon Des Moines for a week of, uh, learning and working. So maybe you can check in with those folks. If, what do they, what do they decide and interpret about what's cool. Our state. Well, one thing, are you actually headquartered in Des Moines on paper?[00:04:30] Yes. Yeah.[00:04:30] Isn't that amazing? That's like everyone's Delaware and you're like,[00:04:33] so doing research. Well, we're, we're incorporated in Delaware. Okay. We we're Delaware Sea like, uh, most companies, but our headquarters Yeah. Is in Des Moines. And part of that's a few things. One, it's like, you know, there's this nice Iowa pride.[00:04:43] And second is, uh, Brad and I both grew up in Brad Mc, co-founder and I grew up in, in Des Moines. And we met each other in the year 2000. We looked it up for the, the YC app. So, you know, I think, I guess more of my life I've known Brad than not, uh, which is kind of crazy. Wow. And during yc, we did it during 2020, so it was like the height of Covid.[00:05:01] And so we actually got a house in Des Moines and lived, worked outta there. I mean, more credit to. So I moved back. I was living in DC at the time, I moved back to to Des Moines. Brad was living in Des Moines, but he moved out of a house with his. To move into what we called our hacker house. And then we had one, uh, member of the team as well, Jacob Sorowitz, who moved from Minneapolis down to Des Moines for the summer.[00:05:21] And frankly, uh, code was a great time to, to build a YC company cuz there wasn't much else to do. I mean, it's kinda like wash your groceries and code. It's sort of the, that was the routine[00:05:30] and you can use, uh, computer vision to help with your groceries as well.[00:05:33] That's exactly right. Tell me what to make.[00:05:35] What's in my fridge? What should I cook? Oh, we'll, we'll, we'll cover[00:05:37] that for with the G P T four, uh, stuff. Exactly. Okay. So you have been featured with in a lot of press events. Uh, but maybe we'll just cover the origin story a little bit in a little bit more detail. So we'll, we'll cover robo flow and then we'll cover, we'll go into segment anything.[00:05:52] Origin of Roboflow[00:05:52] But, uh, I think it's important for people to understand. Robo just because it gives people context for what you're about to show us at the end of the podcast. So Magic Sudoku tc, uh, techers Disrupt, and then you go, you join Pioneer, which is Dan Gross's, um, YC before yc.[00:06:07] Yeah. That's how I think about it.[00:06:08] Yeah, that's a good way. That's a good description of it. Yeah. So I mean, robo flow kind of starts as you mentioned with this magic Sudoku thing. So you mentioned one of my prior business was a company called Represent, and you nailed it. I mean, US Congress gets 80 million messages a year. We built tools that auto sorted them.[00:06:23] They didn't use any intelligent auto sorting. And this is somewhat a solved problem in natural language processing of doing topic modeling or grouping together similar sentiment and things like this. And as you mentioned, I'd like, I worked in DC for a bit and been exposed to some of these problems and when I was like, oh, you know, with programming you can build solutions.[00:06:40] And I think the US Congress is, you know, the US kind of United States is a support center, if you will, and the United States is sports center runs on pretty old software, so mm-hmm. We, um, we built a product for that. It was actually at the time when I was working on representing. Brad, his prior business, um, is a social games company called Hatchlings.[00:07:00] Uh, he phoned me in, in 2017, apple had released augmented reality kit AR kit. And Brad and I are both kind of serial hackers, like I like to go to hackathons, don't really understand new technology until he build something with them type folks. And when AR Kit came out, Brad decided he wanted to build a game with it that would solve Sudoku puzzles.[00:07:19] And the idea of the game would be you take your phone, you hover hold it over top of a Sudoku puzzle, it recognizes the state of the board where it is, and then it fills it all in just right before your eyes. And he phoned me and I was like, Brad, this sounds awesome and sounds like you kinda got it figured out.[00:07:34] What, what's, uh, what, what do you think I can do here? It's like, well, the machine learning piece of this is the part that I'm most uncertain about. Uh, doing the digit recognition and, um, filling in some of those results. I was like, well, I mean digit recognition's like the hell of world of, of computer vision.[00:07:48] That's Yeah, yeah, MNIST, right. So I was like, that that part should be the, the easy part. I was like, ah, I'm, he's like, I'm not so super sure, but. You know, the other parts, the mobile ar game mechanics, I've got pretty well figured out. I was like, I, I think you're wrong. I think you're thinking about the hard part is the easy part.[00:08:02] And he is like, no, you're wrong. The hard part is the easy part. And so long story short, we built this thing and released Magic Sudoku and it kind of caught the Internet's attention of what you could do with augmented reality and, and with computer vision. It, you know, made it to the front ofer and some subreddits it run Product Hunt Air app of the year.[00:08:20] And it was really a, a flash in the pan type app, right? Like we were both running separate companies at the time and mostly wanted to toy around with, with new technology. And, um, kind of a fun fact about Magic Sudoku winning product Hunt Air app of the year. That was the same year that I think the model three came out.[00:08:34] And so Elon Musk won a Golden Kitty who we joked that we share an award with, with Elon Musk. Um, the thinking there was that this is gonna set off a, a revolution of if two random engineers can put together something that makes something, makes a game programmable and at interactive, then surely lots of other engineers will.[00:08:53] Do similar of adding programmable layers on top of real world objects around us. Earlier we were joking about objects in your fridge, you know, and automatically generating recipes and these sorts of things. And like I said, that was 2017. Roboflow was actually co-found, or I guess like incorporated in, in 2019.[00:09:09] So we put this out there, nothing really happened. We went back to our day jobs of, of running our respective businesses, I sold Represently and then as you mentioned, kind of did like consulting stuff to figure out the next sort of thing to, to work on, to get exposed to various problems. Brad appointed a new CEO at his prior business and we got together that summer of 2019.[00:09:27] We said, Hey, you know, maybe we should return to that idea that caught a lot of people's attention and shows what's possible. And you know what, what kind of gives, like the future is here. And we have no one's done anything since. No one's done anything. So why is, why are there not these, these apps proliferated everywhere.[00:09:42] Yeah. And so we said, you know, what we'll do is, um, to add this software layer to the real world. Will build, um, kinda like a super app where if you pointed it at anything, it will recognize it and then you can interact with it. We'll release a developer platform and allow people to make their own interfaces, interactivity for whatever object they're looking at.[00:10:04] And we decided to start with board games because one, we had a little bit of history there with, with Sudoku two, there's social by default. So if one person, you know finds it, then they'd probably share it among their friend. Group three. There's actually relatively few barriers to entry aside from like, you know, using someone else's brand name in your, your marketing materials.[00:10:19] Yeah. But other than that, there's no real, uh, inhibitors to getting things going and, and four, it's, it's just fun. It would be something that'd be bring us enjoyment to work on. So we spent that summer making, uh, boggle the four by four word game provable, where, you know, unlike Magic Sudoku, which to be clear, totally ruins the game, uh, you, you have to solve Sudoku puzzle.[00:10:40] You don't need to do anything else. But with Boggle, if you and I are playing, we might not find all of the words that adjacent letter tiles. Unveil. So if we have a, an AI tell us, Hey, here's like the best combination of letters that make high scoring words. And so we, we made boggle and released it and that, and that did okay.[00:10:56] I mean maybe the most interesting story was there's a English as a second language program in, in Canada that picked it up and used it as a part of their curriculum to like build vocabulary, which I thought was kind of inspiring. Example, and what happens just when you put things on the internet and then.[00:11:09] We wanted to build one for chess. So this is where you mentioned we went to 2019. TechCrunch Disrupt TechCrunch. Disrupt holds a Hackathon. And this is actually, you know, when Brad and I say we really became co-founders, because we fly out to San Francisco, we rent a hotel room in the Tenderloin. We, uh, we, we, uh, have one room and there's like one, there's room for one bed, and then we're like, oh, you said there was a cot, you know, on the, on the listing.[00:11:32] So they like give us a little, a little cot, the end of the cot, like bled and over into like the bathroom. So like there I am sleeping on the cot with like my head in the bathroom and the Tenderloin, you know, fortunately we're at a hackathon glamorous. Yeah. There wasn't, there wasn't a ton of sleep to be had.[00:11:46] There is, you know, we're, we're just like making and, and shipping these, these sorts of many[00:11:50] people with this hack. So I've never been to one of these things, but[00:11:52] they're huge. Right? Yeah. The Disrupt Hackathon, um, I don't, I don't know numbers, but few hundreds, you know, classically had been a place where it launched a lot of famous Yeah.[00:12:01] Sort of flare. Yeah. And I think it's, you know, kind of slowed down as a place for true company generation. But for us, Brad and I, who likes just doing hackathons, being, making things in compressed time skills, it seemed like a, a fun thing to do. And like I said, we'd been working on things, but it was only there that like, you're, you're stuck in a maybe not so great glamorous situation together and you're just there to make a, a program and you wanna make it be the best and compete against others.[00:12:26] And so we add support to the app that we were called was called Board Boss. We couldn't call it anything with Boggle cause of IP rights were called. So we called it Board Boss and it supported Boggle and then we were gonna support chess, which, you know, has no IP rights around it. Uh, it's an open game.[00:12:39] And we did so in 48 hours, we built an app that, or added fit capability to. Point your phone at a chess board. It understands the state of the chess board and converts it to um, a known notation. Then it passes that to stock fish, the open source chess engine for making move recommendations and it makes move recommendations to, to players.[00:13:00] So you could either play against like an ammunition to AI or improve your own game. We learn that one of the key ways users like to use this was just to record their games. Cuz it's almost like reviewing game film of what you should have done differently. Game. Yeah, yeah, exactly. And I guess the highlight of, uh, of chess Boss was, you know, we get to the first round of judging, we get to the second round of judging.[00:13:16] And during the second round of judging, that's when like, TechCrunch kind of brings around like some like celebs and stuff. They'll come by. Evan Spiegel drops by Ooh. Oh, and he uh, he comes up to our, our, our booth and um, he's like, oh, so what does, what does this all do? And you know, he takes an interest in it cuz the underpinnings of, of AR interacting with the.[00:13:33] And, uh, he is kinda like, you know, I could use this to like cheat on chess with my friends. And we're like, well, you know, that wasn't exactly the, the thesis of why we made it, but glad that, uh, at least you think it's kind of neat. Um, wait, but he already started Snapchat by then? Oh, yeah. Oh yeah. This, this is 2019, I think.[00:13:49] Oh, okay, okay. Yeah, he was kind of just checking out things that were new and, and judging didn't end up winning any, um, awards within Disrupt, but I think what we won was actually. Maybe more important maybe like the, the quote, like the co-founders medal along the way. Yep. The friends we made along the way there we go to, to play to the meme.[00:14:06] I would've preferred to win, to be clear. Yes. You played a win. So you did win, uh,[00:14:11] $15,000 from some Des Moines, uh, con[00:14:14] contest. Yeah. Yeah. The, uh, that was nice. Yeah. Slightly after that we did, we did win. Um, some, some grants and some other things for some of the work that we've been doing. John Papa John supporting the, uh, the local tech scene.[00:14:24] Yeah. Well, so there's not the one you're thinking of. Okay. Uh, there's a guy whose name is Papa John, like that's his, that's his, that's his last name. His first name is John. So it's not the Papa John's you're thinking of that has some problematic undertones. It's like this guy who's totally different. I feel bad for him.[00:14:38] His press must just be like, oh, uh, all over the place. But yeah, he's this figure in the Iowa entrepreneurial scene who, um, he actually was like doing SPACs before they were cool and these sorts of things, but yeah, he funds like grants that encourage entrepreneurship in the state. And since we'd done YC and in the state, we were eligible for some of the awards that they were providing.[00:14:56] But yeah, it was disrupt that we realized, you know, um, the tools that we made, you know, it took us better part of a summer to add Boggle support and it took us 48 hours to add chest support. So adding the ability for programmable interfaces for any object, we built a lot of those internal tools and our apps were kind of doing like the very famous shark fin where like it picks up really fast, then it kind of like slowly peters off.[00:15:20] Mm-hmm. And so we're like, okay, if we're getting these like shark fin graphs, we gotta try something different. Um, there's something different. I remember like the week before Thanksgiving 2019 sitting down and we wrote this Readme for, actually it's still the Readme at the base repo of Robo Flow today has spent relatively unedited of the manifesto.[00:15:36] Like, we're gonna build tools that enable people to make the world programmable. And there's like six phases and, you know, there's still, uh, many, many, many phases to go into what we wrote even at that time to, to present. But it's largely been, um, right in line with what we thought we would, we would do, which is give engineers the tools to add software to real world objects, which is largely predicated on computer vision. So finding the right images, getting the right sorts of video frames, maybe annotating them, uh, finding the right sort of models to use to do this, monitoring the performance, all these sorts of things. And that from, I mean, we released that in early 2020, and it's kind of, that's what's really started to click.[00:16:12] Why Computer Vision[00:16:12] Awesome. I think we should just kind[00:16:13] of[00:16:14] go right into where you are today and like the, the products that you offer, just just to give people an overview and then we can go into the, the SAM stuff. So what is the clear, concise elevator pitch? I think you mentioned a bunch of things like make the world programmable so you don't ha like computer vision is a means to an end.[00:16:30] Like there's, there's something beyond that. Yeah.[00:16:32] I mean, the, the big picture mission for the business and the company and what we're working on is, is making the world programmable, making it read and write and interactive, kind of more entertaining, more e. More fun and computer vision is the technology by which we can achieve that pretty quickly.[00:16:48] So like the one liner for the, the product in, in the company is providing engineers with the tools for data and models to build programmable interfaces. Um, and that can be workflows, that could be the, uh, data processing, it could be the actual model training. But yeah, Rob helps you use production ready computer vision workflows fast.[00:17:10] And I like that.[00:17:11] In part of your other pitch that I've heard, uh, is that you basically scale from the very smallest scales to the very largest scales, right? Like the sort of microbiology use case all the way to[00:17:20] astronomy. Yeah. Yeah. The, the joke that I like to make is like anything, um, underneath a microscope and, and through a telescope and everything in between needs to, needs to be seen.[00:17:27] I mean, we have people that run models in outer space, uh, underwater remote places under supervision and, and known places. The crazy thing is that like, All parts of, of not just the world, but the universe need to be observed and understood and acted upon. So vision is gonna be, I dunno, I feel like we're in the very, very, very beginnings of all the ways we're gonna see it.[00:17:50] Computer Vision Use Cases[00:17:50] Awesome. Let's go into a lo a few like top use cases, cuz I think that really helps to like highlight the big names that you've, big logos that you've already got. I've got Walmart and Cardinal Health, but I don't, I don't know if you wanna pull out any other names, like, just to illustrate, because the reason by the way, the reason I think that a lot of developers don't get into computer vision is because they think they don't need it.[00:18:11] Um, or they think like, oh, like when I do robotics, I'll do it. But I think if, if you see like the breadth of use cases, then you get a little bit more inspiration as to like, oh, I can use[00:18:19] CVS lfa. Yeah. It's kind of like, um, you know, by giving, by making it be so straightforward to use vision, it becomes almost like a given that it's a set of features that you could power on top of it.[00:18:32] And like you mentioned, there's, yeah, there's Fortune One there over half the Fortune 100. I've used the, the tools that Robel provides just as much as 250,000 developers. And so over a quarter million engineers finding and developing and creating various apps, and I mean, those apps are, are, are far and wide.[00:18:49] Just as you mentioned. I mean everything from say, like, one I like to talk about was like sushi detection of like finding the like right sorts of fish and ingredients that are in a given piece of, of sushi that you're looking at to say like roof estimation of like finding. If there's like, uh, hail damage on, on a given roof, of course, self-driving cars and understanding the scenes around us is sort of the, you know, very early computer vision everywhere.[00:19:13] Use case hardhat detection, like finding out if like a given workplace is, is, is safe, uh, disseminate, have the right p p p on or p p e on, are there the right distance from various machines? A huge place that vision has been used is environmental monitoring. Uh, what's the count of species? Can we verify that the environment's not changing in unexpected ways or like river banks are become, uh, becoming recessed in ways that we anticipate from satellite imagery, plant phenotyping.[00:19:37] I mean, people have used these apps for like understanding their plants and identifying them. And that dataset that's actually largely open, which is what's given a proliferation to the iNaturalist, is, is that whole, uh, hub of, of products. Lots of, um, people that do manufacturing. So, like Rivian for example, is a Rubal customer, and you know, they're trying to scale from 1000 cars to 25,000 cars to a hundred thousand cars in very short order.[00:20:00] And that relies on having the. Ability to visually ensure that every part that they're making is produced correctly and right in time. Medical use cases. You know, there's actually, this morning I was emailing with a user who's accelerating early cancer detection through breaking apart various parts of cells and doing counts of those cells.[00:20:23] And actually a lot of wet lab work that folks that are doing their PhDs or have done their PhDs are deeply familiar with that is often required to do very manually of, of counting, uh, micro plasms or, or things like this. There's. All sorts of, um, like traffic counting and smart cities use cases of understanding curb utilization to which sort of vehicles are, are present.[00:20:44] Uh, ooh. That can be[00:20:46] really good for city planning actually.[00:20:47] Yeah. I mean, one of our customers does exactly this. They, they measure and do they call it like smart curb utilization, where uhhuh, they wanna basically make a curb be almost like a dynamic space where like during these amounts of time, it's zoned for this during these amounts of times.[00:20:59] It's zoned for this based on the flows and e ebbs and flows of traffic throughout the day. So yeah, I mean the, the, the truth is that like, you're right, it's like a developer might be like, oh, how would I use vision? And then all of a sudden it's like, oh man, all these things are at my fingertips. Like I can just, everything you can see.[00:21:13] Yeah. Right. I can just, I can just add functionality for my app to understand and ingest the way, like, and usually the way that someone gets like almost nerd sniped into this is like, they have like a home automation project, so it's like send Yeah. Give us a few. Yeah. So send me a text when, um, a package shows up so I can like prevent package theft so I can like go down and grab it right away or.[00:21:29] We had a, uh, this one's pretty, pretty niche, but it's pretty funny. There was this guy who, during the pandemic wa, wanted to make sure his cat had like the proper, uh, workout. And so I've shared the story where he basically decided that. He'd make a cat workout machine with computer vision, you might be alone.[00:21:43] You're like, what does that look like? Well, what he decided was he would take a robotic arm strap, a laser pointer to it, and then train a machine to recognize his cat and his cat only, and point the laser pointer consistently 10 feet away from the cat. There's actually a video of you if you type an YouTube cat laser turret, you'll find Dave's video.[00:22:01] Uh, and hopefully Dave's cat has, has lost the weight that it needs to, cuz that's just the, that's an intense workout I have to say. But yeah, so like, that's like a, um, you know, these, uh, home automation projects are pretty common places for people to get into smart bird feeders. I've seen people that like are, are logging and understanding what sort of birds are, uh, in their background.[00:22:18] There's a member of our team that was working on actually this as, as a whole company and has open sourced a lot of the data for doing bird species identification. And now there's, I think there's even a company that's, uh, founded to create like a smart bird feeder, like captures photos and tells you which ones you've attracted to your yard.[00:22:32] I met that. Do, you know, get around the, uh, car sharing company that heard it? Them never used them. They did a SPAC last year and they had raised at like, They're unicorn. They raised at like 1.2 billion, I think in the, the prior round and inspected a similar price. I met the CTO of, of Getaround because he was, uh, using Rob Flow to hack into his Tesla cameras to identify other vehicles that are like often nearby him.[00:22:56] So he's basically building his own custom license plate recognition, and he just wanted like, keep, like, keep tabs of like, when he drives by his friends or when he sees like regular sorts of folks. And so he was doing like automated license plate recognition by tapping into his, uh, camera feeds. And by the way, Elliot's like one of the like OG hackers, he was, I think one of the very first people to like, um, she break iPhones and, and these sorts of things.[00:23:14] Mm-hmm. So yeah, the project that I want, uh, that I'm gonna work on right now for my new place in San Francisco is. There's two doors. There's like a gate and then the other door. And sometimes we like forget to close, close the gate. So like, basically if it sees that the gate is open, it'll like send us all a text or something like this to make sure that the gate is, is closed at the front of our house.[00:23:32] That's[00:23:32] really cool. And I'll, I'll call out one thing that readers and listeners can, uh, read out on, on your history. One of your most popular initial, um, viral blog post was about, um, autonomous vehicle data sets and how, uh, the one that Udacity was using was missing like one third of humans. And, uh, it's not, it's pretty problematic for cars to miss humans.[00:23:53] Yeah, yeah, actually, so yeah, the Udacity self-driving car data set, which look to their credit, it was just meant to be used for, for academic use. Um, and like as a part of courses on, on Udacity, right? Yeah. But the, the team that released it, kind of hastily labeled and let it go out there to just start to use and train some models.[00:24:11] I think that likely some, some, uh, maybe commercial use cases maybe may have come and, and used, uh, the dataset, who's to say? But Brad and I discovered this dataset. And when we were working on dataset improvement tools at Rob Flow, we ran through our tools and identified some like pretty, as you mentioned, key issues.[00:24:26] Like for example, a lot of strollers weren't labeled and I hope our self-driving cars do those, these sorts of things. And so we relabeled the whole dataset by hand. I have this very fond memory is February, 2020. Brad and I are in Taiwan. So like Covid is actually just, just getting going. And the reason we were there is we were like, Hey, we can work on this from anywhere for a little bit.[00:24:44] And so we spent like a, uh, let's go closer to Covid. Well, you know, I like to say we uh, we got early indicators of, uh, how bad it was gonna be. I bought a bunch of like N 90 fives before going o I remember going to the, the like buying a bunch of N 95 s and getting this craziest look like this like crazy tin hat guy.[00:25:04] Wow. What is he doing? And then here's how you knew. I, I also got got by how bad it was gonna be. I left all of them in Taiwan cuz it's like, oh, you all need these. We'll be fine over in the us. And then come to find out, of course that Taiwan was a lot better in terms of, um, I think, yeah. Safety. But anyway, we were in Taiwan because we had planned this trip and you know, at the time we weren't super sure about the, uh, covid, these sorts of things.[00:25:22] We always canceled it. We didn't, but I have this, this very specific time. Brad and I were riding on the train from Clay back to Taipei. It's like a four hour ride. And you mentioned Pioneer earlier, we were competing in Pioneer, which is almost like a gamified to-do list. Mm-hmm. Every week you say what you're gonna do and then other people evaluate.[00:25:37] Did you actually do the things you said you were going to do? One of the things we said we were gonna do was like this, I think re-release of this data set. And so it's like late, we'd had a whole week, like, you know, weekend behind us and, uh, we're on this train and it was very unpleasant situation, but we relabeled this, this data set, and one sitting got it submitted before like the Sunday, Sunday countdown clock starts voting for, for.[00:25:57] And, um, once that data got out back out there, just as you mentioned, it kind of picked up and Venture beat, um, noticed and wrote some stories about it. And we really rereleased of course, the data set that we did our best job of labeling. And now if anyone's listening, they can probably go out and like find some errors that we surely still have and maybe call us out and, you know, put us, put us on blast.[00:26:15] The Economics of Annotation (Segmentation)[00:26:15] But,[00:26:16] um, well, well the reason I like this story is because it, it draws attention to the idea that annotation is difficult and basically anyone looking to use computer vision in their business who may not have an off-the-shelf data set is going to have to get involved in annotation. And I don't know what it costs.[00:26:34] And that's probably one of the biggest hurdles for me to estimate how big a task this is. Right? So my question at a higher level is tell the customers, how do you tell customers to estimate the economics of annotation? Like how many images do, do we need? How much, how long is it gonna take? That, that kinda stuff.[00:26:50] How much money and then what are the nuances to doing it well, right? Like, cuz obviously Udacity had a poor quality job, you guys had proved it, and there's errors every everywhere. Like where do[00:26:59] these things go wrong? The really good news about annotation in general is that like annotation of course is a means to an end to have a model be able to recognize a thing.[00:27:08] Increasingly there's models that are coming out that can recognize things zero shot without any annotation, which we're gonna talk about. Yeah. Which, we'll, we'll talk more about that in a moment. But in general, the good news is that like the trend is that annotation is gonna become decreasingly a blocker to starting to use computer vision in meaningful ways.[00:27:24] Now that said, just as you mentioned, there's a lot of places where you still need to do. Annotation. I mean, even with these zero shot models, they might have of blind spots, or maybe you're a business, as you mentioned, that you know, it's proprietary data. Like only Rivian knows what a rivian is supposed to look like, right?[00:27:39] Uh, at the time of, at the time of it being produced, like underneath the hood and, and all these sorts of things. And so, yeah, that's gonna necessarily require annotation. So your question of how long is it gonna take, how do you estimate these sorts of things, it really comes down to the complexity of the problem that you're solving and the amount of variance in the scene.[00:27:57] So let's give some contextual examples. If you're trying to recognize, we'll say a scratch on one specific part and you have very strong lighting. You might need fewer images because you control the lighting, you know the exact part and maybe you're lucky in the scratch. Happens more often than not in similar parts or similar, uh, portions of the given part.[00:28:17] So in that context, you, you, the function of variance, the variance is, is, is lower. So the number of images you need is also lower to start getting up to work. Now the orders of magnitude we're talking about is that like you can have an initial like working model from like 30 to 50 images. Yeah. In this context, which is shockingly low.[00:28:32] Like I feel like there's kind of an open secret in computer vision now, the general heuristic that often. Users, is that like, you know, maybe 200 images per class is when you start to have a model that you can rely[00:28:45] on? Rely meaning like 90, 99, 90, 90%, um,[00:28:50] uh, like what's 85 plus 85? Okay. Um, that's good. Again, these are very, very finger in the wind estimates cuz the variance we're talking about.[00:28:59] But the real question is like, at what point, like the framing is not like at what point do it get to 99, right? The framing is at what point can I use this thing to be better than the alternative, which is humans, which maybe humans or maybe like this problem wasn't possible at all. And so usually the question isn't like, how do I get to 99?[00:29:15] A hundred percent? It's how do I ensure that like the value I am able to get from putting this thing in production is greater than the alternative? In fact, even if you have a model that's less accurate than humans, there might be some circumstances where you can tolerate, uh, a greater amount of inaccuracy.[00:29:32] And if you look at the accuracy relative to the cost, Using a model is extremely cheap. Using a human for the same sort of task can be very expensive. Now, in terms of the actual accuracy of of what you get, there's probably some point at which the cost, but relative accuracy exceeds of a model, exceeds the high cost and hopefully high accuracy of, of a human comparable, like for example, there's like cameras that will track soccer balls or track events happening during sporting matches.[00:30:02] And you can go through and you know, we actually have users that work in sports analytics. You can go through and have a human. Hours and hours of footage. Cuz not just watching their team, they're watching every other team, they're watching scouting teams, they're watching junior teams, they're watching competitors.[00:30:15] And you could have them like, you know, track and follow every single time the ball goes within blank region of the field or every time blank player goes into, uh, this portion of the field. And you could have, you know, exact, like a hundred percent accuracy if that person, maybe, maybe not a hundred, a human may be like 95, 90 7% accuracy of every single time the ball is in this region or this player is on the field.[00:30:36] Truthfully, maybe if you're scouting analytics, you actually don't need 97% accuracy of knowing that that player is on the field. And in fact, if you can just have a model run at a 1000th, a 10000th of the cost and goes through and finds all the times that Messi was present on the field mm-hmm. That the ball was in this region of the.[00:30:54] Then even if that model is slightly less accurate, the cost is just so orders of magnitude different. And the stakes like the stakes of this problem, of knowing like the total number of minutes that Messi played will say are such that we have a higher air tolerance, that it's a no-brainer to start to use Yeah, a computer vision model in this context.[00:31:12] So not every problem requires equivalent or greater human performance. Even when it does, you'd be surprised at how fast models get there. And in the times when you, uh, really look at a problem, the question is, how much accuracy do I need to start to get value from this? This thing, like the package example is a great one, right?[00:31:27] Like I could in theory set up a camera that's constantly watching in front of my porch and I could watch the camera whenever I have a package and then go down. But of course, I'm not gonna do that. I value my time to do other sorts of things instead. And so like there, there's this net new capability of, oh, great, I can have an always on thing that tells me when a package shows up, even if you know the, the thing that's gonna text me.[00:31:46] When a package shows up, let's say a flat pack shows up instead of a box and it doesn't know what a flat pack likes, looks like initially. Doesn't matter. It doesn't matter because I didn't have this capability at all before. And I think that's the true case where a lot of computer vision problems exist is like it.[00:32:00] It's like you didn't even have this capability, this superpower before at all, let alone assigning a given human to do the task. And that's where we see like this explosion of, of value.[00:32:10] Awesome. Awesome. That was a really good overview. I want to leave time for the others, but I, I really want to dive into a couple more things with regards to Robo Flow.[00:32:17] Computer Vision Annotation Formats[00:32:17] So one is, apparently your original pitch for Robo Flow was with regards to conversion tools for computer vision data sets. And I'm sure as, as a result of your job, you have a lot of rants. I've been digging for rants basically on like the best or the worst annotation formats. What do we know? Cause most of us, oh my gosh, we only know, like, you know, I like,[00:32:38] okay, so when we talk about computer vision annotation formats, what we're talking about is if you have an image and you, you picture a boing box around my face on that image.[00:32:46] Yeah. How do you describe where that Monty box is? X, Y, Z X Y coordinates. Okay. X, y coordinates. How, what do you mean from the top lefts.[00:32:52] Okay. You, you, you, you take X and Y and then, and then the. The length and, and the width of the, the[00:32:58] box. Okay. So you got like a top left coordinate and like the bottom right coordinate or like the, the center of the bottom.[00:33:02] Yeah. Yeah. Top, left, bottom right. Yeah. That's one type of format. Okay. But then, um, I come along and I'm like, you know what? I want to do a different format where I wanna just put the center of the box, right. And give the length and width. Right. And by the way, we didn't even talk about what X and Y we're talking about.[00:33:14] Is X a pixel count? Is a relative pixel count? Is it an absolute pixel count? So the point is, the number of ways to describe where a box lives in a freaking image is endless, uh, seemingly and. Everyone decided to kind of create their own different ways of describing the coordinates and positions of where in this context of bounding Box is present.[00:33:39] Uh, so there's some formats, for example, that like use re, so for the x and y, like Y is, uh, like the left, most part of the image is zero. And the right most part of the image is one. So the, the coordinate is like anywhere from zero to one. So 0.6 is, you know, 60% of your way right up the image to describe the coordinate.[00:33:53] I guess that was, that was X instead of Y. But the point is there, of the zero to one is the way that we determined where that was in the position, or we're gonna do an absolute pixel position anyway. We got sick, we got sick of all these different annotation formats. So why do you even have to convert between formats?[00:34:07] Is is another part of this, this story. So different training frameworks, like if you're using TensorFlow, you need like TF Records. If you're using PyTorch, it's probably gonna be, well it depends on like what model you're using, but someone might use Coco JSON with PyTorch. Someone else might use like a, just a YAML file and a text file.[00:34:21] And to describe the cor it's point is everyone that creates a model. Or creates a dataset rather, has created different ways of describing where and how a bounding box is present in the image. And we got sick of all these different formats and doing these in writing all these different converter scripts.[00:34:39] And so we made a tool that just converts from one script, one type of format to another. And the, the key thing is that like if you get that converter script wrong, your model doesn't not work. It just fails silently. Yeah. Because the bounding boxes are now all in the wrong places. And so you need a way to visualize and be sure that your converter script, blah, blah blah.[00:34:54] So that was the very first tool we released of robo. It was just a converter script, you know, like these, like these PDF to word converters that you find. It was basically that for computer vision, like dead simple, really annoying thing. And we put it out there and people found some, some value in, in that.[00:35:08] And you know, to this day that's still like a surprisingly painful[00:35:11] problem. Um, yeah, so you and I met at the Dall-E Hackathon at OpenAI, and we were, I was trying to implement this like face masking thing, and I immediately ran into that problem because, um, you know, the, the parameters that Dall-E expected were different from the one that I got from my face, uh, facial detection thing.[00:35:28] One day it'll go away, but that day is not today. Uh, the worst format that we work with is, is. The mart form, it just makes no sense. And it's like, I think, I think it's a one off annotation format that this university in China started to use to describe where annotations exist in a book mart. I, I don't know, I dunno why that So best[00:35:45] would be TF record or some something similar.[00:35:48] Yeah, I think like, here's your chance to like tell everybody to use one one standard and like, let's, let's, can[00:35:53] I just tell them to use, we have a package that does this for you. I'm just gonna tell you to use the row full package that converts them all, uh, for you. So you don't have to think about this. I mean, Coco JSON is pretty good.[00:36:04] It's like one of the larger industry norms and you know, it's in JS O compared to like V xml, which is an XML format and Coco json is pretty descriptive, but you know, it has, has its own sort of drawbacks and flaws and has random like, attribute, I dunno. Um, yeah, I think the best way to handle this problem is to not have to think about it, which is what we did.[00:36:21] We just created a, uh, library that, that converts and uses things. Uh, for us. We've double checked the heck out of it. There's been hundreds of thousands of people that have used the library and battle tested all these different formats to find those silent errors. So I feel pretty good about no longer having to have a favorite format and instead just rely on.[00:36:38] Dot load in the format that I need. Great[00:36:41] Intro to Computer Vision Segmentation[00:36:41] service to the community. Yeah. Let's go into segmentation because is at the top of everyone's minds, but before we get into segment, anything, I feel like we need a little bit of context on the state-of-the-art prior to Sam, which seems to be YOLO and uh, you are the leading expert as far as I know.[00:36:56] Yeah.[00:36:57] Computer vision, there's various task types. There's classification problems where we just like assign tags to images, like, you know, maybe safe work, not safe work, sort of tagging sort of stuff. Or we have object detection, which are the boing boxes that you see and all the formats I was mentioning in ranting about there's instant segmentation, which is the polygon shapes and produces really, really good looking demos.[00:37:19] So a lot of people like instant segmentation.[00:37:21] This would be like counting pills when you point 'em out on the, on the table. Yeah. So, or[00:37:25] soccer players on the field. So interestingly, um, counting you could do with bounding boxes. Okay. Cause you could just say, you know, a box around a person. Well, I could count, you know, 12 players on the field.[00:37:35] Masks are most useful. Polygons are most useful if you need very precise area measurements. So you have an aerial photo of a home and you want to know, and the home's not a perfect box, and you want to know the rough square footage of that home. Well, if you know the distance between like the drone and, and the ground.[00:37:53] And you have the precise polygon shape of the home, then you can calculate how big that home is from aerial photos. And then insurers can, you know, provide say accurate estimates and that's maybe why this is useful. So polygons and, and instant segmentation are, are those types of tasks? There's a key point detection task and key point is, you know, if you've seen those demos of like all the joints on like a hand kind of, kind of outlined, there's visual question answering tasks, visual q and a.[00:38:21] And that's like, you know, some of the stuff that multi-modality is absolutely crushing for, you know, here's an image, tell me what food is in this image. And then you can pass that and you can make a recipe out of it. But like, um, yeah, the visual question in answering task type is where multi-modality is gonna have and is already having an enormous impact.[00:38:40] So that's not a comprehensive survey, very problem type, but it's enough to, to go into why SAM is significant. So these various task types, you know, which model to use for which given circumstance. Most things is highly dependent on what you're ultimately aiming to do. Like if you need to run a model on the edge, you're gonna need a smaller model, cuz it is gonna run on edge, compute and process in, in, in real time.[00:39:01] If you're gonna run a model on the cloud, then of course you, uh, generally have more compute at your disposal Considerations like this now, uh,[00:39:08] YOLO[00:39:08] just to pause. Yeah. Do you have to explain YOLO first before you go to Sam, or[00:39:11] Yeah, yeah, sure. So, yeah. Yeah, we should. So object detection world. So for a while I talked about various different task types and you can kinda think about a slide scale of like classification, then obvious detection.[00:39:20] And on the right, at most point you have like segmentation tasks. Object detection. The bounding boxes is especially useful for a wide, like it's, it's surprisingly versatile. Whereas like classification is kind of brittle. Like you only have a tag for the whole image. Well, that doesn't, you can't count things with tags.[00:39:35] And on the other hand, like the mask side of things, like drawing masks is painstaking. And so like labeling is just a bit more difficult. Plus like the processing to produce masks requires more compute. And so usually a lot of folks kind of landed for a long time on obvious detection being a really happy medium of affording you with rich capabilities because you can do things like count, track, measure.[00:39:56] In some CAGR context with bounding boxes, you can see how many things are present. You can actually get a sense of how fast something's moving by tracking the object or bounding box across multiple frames and comparing the timestamp of where it was across those frames. So obviously detection is a very common task type that solves lots of things that you want do with a given model.[00:40:15] In obviously detection. There's been various model frameworks over time. So kind of really early on there's like R-CNN uh, then there's faster rc n n and these sorts of family models, which are based on like resnet kind of architectures. And then a big thing happens, and that is single shot detectors. So faster, rc n n despite its name is, is very slow cuz it takes two passes on the image.[00:40:37] Uh, the first pass is, it finds par pixels in the image that are most interesting to, uh, create a bounding box candidate out of. And then it passes that to a, a classifier that then does classification of the bounding box of interest. Right. Yeah. You can see, you can see why that would be slow. Yeah. Cause you have to do two passes.[00:40:53] You know, kind of actually led by, uh, like mobile net was I think the first large, uh, single shot detector. And as its name implies, it was meant to be run on edge devices and mobile devices and Google released mobile net. So it's a popular implementation that you find in TensorFlow. And what single shot detectors did is they said, Hey, instead of looking at the image twice, what if we just kind of have a, a backbone that finds candidate bounding boxes?[00:41:19] And then we, we set loss functions for objectness. We set loss function. That's a real thing. We set loss functions for objectness, like how much obj, how object do this part of the images. We send a loss function for classification, and then we run the image through the model on a single pass. And that saves lots of compute time and you know, it's not necessarily as accurate, but if you have lesser compute, it can be extremely useful.[00:41:42] And then the advances in both modeling techniques in compute and data quality, single shot detectors, SSDs has become, uh, really, really popular. One of the biggest SSDs that has become really popular is the YOLO family models, as you described. And so YOLO stands for you only look once. Yeah, right, of course.[00:42:02] Uh, Drake's, uh, other album, um, so Joseph Redman introduces YOLO at the University of Washington. And Joseph Redman is, uh, kind of a, a fun guy. So for listeners, for an Easter egg, I'm gonna tell you to Google Joseph Redman resume, and you'll find, you'll find My Little Pony. That's all I'll say. And so he introduces the very first YOLO architecture, which is a single shot detector, and he also does it in a framework called Darknet, which is like this, this own framework that compiles the Cs, frankly, kind of tough to work with, but allows you to benefit from the speedups that advance when you operate in a low level language like.[00:42:36] And then he releases, well, what colloquially is known as YOLO V two, but a paper's called YOLO 9,000 cuz Joseph Redmond thought it'd be funny to have something over 9,000. So get a sense for, yeah, some fun. And then he releases, uh, YOLO V three and YOLO V three is kind of like where things really start to click because it goes from being an SSD that's very limited to competitive and, and, and superior to actually mobile That and some of these other single shot detectors, which is awesome because you have this sort of solo, I mean, him and and his advisor, Ali, at University of Washington have these, uh, models that are becoming really, really powerful and capable and competitive with these large research organizations.[00:43:09] Joseph Edmond leaves Computer Vision Research, but there had been Alexia ab, one of the maintainers of Darknet released Yola VI four. And another, uh, researcher, Glenn Yer, uh, jocker had been working on YOLO V three, but in a PyTorch implementation, cuz remember YOLO is in a dark implementation. And so then, you know, YOLO V three and then Glenn continues to make additional improvements to YOLO V three and pretty soon his improvements on Yolov theory, he's like, oh, this is kind of its own things.[00:43:36] Then he releases YOLO V five[00:43:38] with some naming[00:43:39] controversy that we don't have Big naming controversy. The, the too long didn't read on the naming controversy is because Glen was not originally involved with Darknet. How is he allowed to use the YOLO moniker? Roe got in a lot of trouble cuz we wrote a bunch of content about YOLO V five and people were like, ah, why are you naming it that we're not?[00:43:55] Um, but you know,[00:43:56] cool. But anyway, so state-of-the-art goes to v8. Is what I gather.[00:44:00] Yeah, yeah. So yeah. Yeah. You're, you're just like, okay, I got V five. I'll skip to the end. Uh, unless, unless there's something, I mean, I don't want, well, so I mean, there's some interesting things. Um, in the yolo, there's like, there's like a bunch of YOLO variants.[00:44:10] So YOLOs become this, like this, this catchall for various single shot, yeah. For various single shot, basically like runs on the edge, it's quick detection framework. And so there's, um, like YOLO R, there's YOLO S, which is a transformer based, uh, yolo, yet look like you only look at one sequence is what s stands were.[00:44:27] Um, the pp yo, which, uh, is PAT Paddle implementation, which is by, which Chinese Google is, is their implementation of, of TensorFlow, if you will. So basically YOLO has like all these variants. And now, um, yo vii, which is Glen has been working on, is now I think kind of like, uh, one of the choice models to use for single shot detection.[00:44:44] World Knowledge of Foundation Models[00:44:44] Well, I think a lot of those models, you know, Asking the first principal's question, like let's say you wanna find like a bus detector. Do you need to like go find a bunch of photos of buses or maybe like a chair detector? Do you need to go find a bunch of photos of chairs? It's like, oh no. You know, actually those images are present not only in the cocoa data set, but those are objects that exist like kind of broadly on the internet.[00:45:02] And so computer visions kind of been like us included, have been like really pushing for and encouraging models that already possess a lot of context about the world. And so, you know, if GB T's idea and i's idea OpenAI was okay, models can only understand things that are in their corpus. What if we just make their corpus the size of everything on the internet?[00:45:20] The same thing that happened in imagery, what's happening now? And that's kinda what Sam represents, which is kind of a new evolution of, earlier on we were talking about the cost of annotation and I said, well, good news. Annotations then become decreasingly necessary to start to get to value. Now you gotta think about it more, kind of like, you'll probably need to do some annotation because you might want to find a custom object, or Sam might not be perfect, but what's about to happen is a big opportunity where you want the benefits of a yolo, right?[00:45:47] Where it can run really fast, it can run on the edge, it's very cheap. But you want the knowledge of a large foundation model that already knows everything about buses and knows everything about shoes, knows everything about real, if the name is true, anything segment, anything model. And so there's gonna be this novel opportunity to take what these large models know, and I guess it's kind of like a form of distilling, like distill them down into smaller architectures that you can use in versatile ways to run in real time to run on the edge.[00:46:13] And that's now happening. And what we're seeing in actually kind of like pulling that, that future forward with, with, with Robo Flow.[00:46:21] Segment Anything Model[00:46:21] So we could talk a bit about, um, about SAM and what it represents maybe into, in relation to like these, these YOLO models. So Sam is Facebook segment Everything Model. It came out last week, um, the first week of April.[00:46:34] It has 24,000 GitHub stars at the time of, of this recording within its first week. And why, what does it do? Segment? Everything is a zero shot segmentation model. And as we're describing, creating masks is a very arduous task. Creating masks of objects that are not already represented means you have to go label a bunch of masks and then train a model and then hope that it finds those masks in new images.[00:47:00] And the promise of Segment anything is that in fact you just pass at any image and it finds all of the masks of relevant things that you might be curious about finding in a given image. And it works remarkably. Segment anything in credit to Facebook and the fair Facebook research team, they not only released the model permissive license to move things forward, they released the full data set, all 11 million images and 1.1 billion segmentation masks and three model sizes.[00:47:29] The largest ones like 2.5 gigabytes, which is not enormous. Medium ones like 1.2 and the smallest one is like 400, 3 75 megabytes. And for context,[00:47:38] for, for people listening, that's six times more than the previous alternative, which, which is apparently open images, uh, in terms of number images, and then 400 times more masks than open[00:47:47] images as well.[00:47:48] Exactly, yeah. So huge, huge order magnitude gain in terms of dataset accessibility plus like the model and how it works. And so the question becomes, okay, so like segment. What, what do I do with this? Like, what does it allow me to do? And it didn't Rob float well. Yeah, you should. Yeah. Um, it's already there.[00:48:04] You um, that part's done. Uh, but the thing that you can do with segment anything is you can almost, like, I almost think about like this, kinda like this model arbitrage where you can basically like distill down a giant model. So let's say like, like let's return to the package example. Okay. The package problem of, I wanna get a text when a package appears on my front porch before segment anything.[00:48:25] The way that I would go solve this problem is I would go collect some images of packages on my porch and I would label them, uh, with bounding boxes or maybe masks in that part. As you mentioned, it can be a long process and I would train a model. And that model it actually probably worked pretty well cause it's purpose-built.[00:48:44] The camera position, my porch, the packages I'm receiving. But that's gonna take some time, like everything that I just mentioned the

See omnystudio.com/listener for privacy information.

The team, including the University of Virginia, is using biological subterfuge.

Earlier this month nearly 50 volunteers armed with rakes and large pruning tools gathered for the annual spiny softshell turtle beach clean up day. The conservation effort, organized by the Vermont Fish and Wildlife Department, helps ready the beach for hatching baby turtles.

Nate and Ben discuss Bruce Sutter (RIP), finish the climactic conclusion to the Heroes and Hatchlings draft, Waino's return, Arenado's contract situation, Albert's new girlfriend, Yadi coaching, Flores/Girsch extension, the catcher market, starting pitching, the current playoffs, and so much more! 

Nate & Ben discuss the shocking ending to their Heroes and Hatchlings game, the true flukiness of game one, Quintana's great start, Yepez' big moment, questionable Marmol decisions, game two and the incredibly boring offensive output, Harper's dinger, Goldy's struggles, March predictions, Periwinkle Van Winkle, and much much more. 

Colonel Charlie Ogden deals with the casualties incurred under his campaign against the Hatchlings. Margaret calls an old friend. More people in Gaylord succumb to the seeds while Dew and Perry have a long, drunken conversation. Written & Performed by Scott Sigler Produced by Empty Set Entertainment

Pete Smissen is now a Three-Pete (get it) guest on the Mere Mortals and is the awesome host of the Aussie English podcast and the newly created Pete vs Plants YouTube channel.In Conversation #77, Pete and I discuss: some crazy animal stories from his PhD days, shows like Prehistoric Planet and Altered Carbon which appeal to his love of science, random hypotheticals of pre-colonisation days, why both of us have non-conventional jobs (and bloody love it!!), his new passion of exotic house plant cultivation and some unsavoury shenanigans happening online and in the real world.Hope you're having a fantastic day wherever you are in the world, Kyrin out!Timeline:(0:00) - Three-peat guest(0:51) - Sitting on turtles at Heron Island(4:30) - Stepping in turtles (gross) on Raine Island(10:03) - Hatchlings storming the beach(12:50) - Marlins, sloth teeth and missing biology(16:20) - Dinosaur behaviour(22:18) - Humans misrepresenting animals(25:00) - Individually incorrect theories but true as a whole(29:14) - Evolution & aliens(36:46) - Biological enhancements(44:30) - Romanticising the past & foreign countries(54:23) - High IQ people in non-developed nations(1:02:33) - Guns, Germs and Steel(1:07:56) - Two jobless slackers(1:16:17) - Value for Value explanation(1:19:51) - Why handstand so hard?(1:31:53) - Rare house plant YouTubers are girls and camp gay men(1:42:12) - Anything can be interesting if presented in a passionate and smart way(1:51:34) - Misrepresenting how you get 'insert X'(1:57:12) - Protesting against the Julian Assange extradition(2:03:07) - Conspiracy theorists(2:13:52) - Check out Aussie English and Pete vs PlantsConnect with Pete:Website: https://aussieenglish.com.au/Instagram: https://www.instagram.com/australia_english/Pete vs Plants: https://www.youtube.com/channel/UCPhARg2VN5k1fO8xhff6m2gAussie English: https://www.youtube.com/c/AussieEnglishPodcastConnect with Mere Mortals:Website: https://www.meremortalspodcast.com/Discord: https://discord.gg/jjfq9eGReUInstagram: https://www.instagram.com/meremortalspodcast/

Tune in to hear about the ranger team doing everything they can to protect baby turtles and save the species in Papua New Guinea! This week we will be hearing from Hayley Versace (On-site manager and Project Coordinator) and Steven Amos (Head Community Conservation Ranger) from the Conflict Islands Conservation Initiative (CICI). CICI is a remarkable organisation that does a range of conservation work aiming to preserve the biodiversity in Milne Bay, a Mission Blue Hopespot situated in the coral triangle. Today we will be focusing on their turtle conservation initiative and you'll get to hear from Ranger Steven who stays up all night for months on end to ensure the hatchlings emerge from the nests safely whilst also protecting the turtles from poachers. Head to www.cici.org.au to support their work!

This episode contains profanity and violence, as well as horror and gore.In this chilling episode, we experience the profundities of parenthood, and gift giving. Follow us on Twitter @BonePodDM is Brian Sherwood @schionoxCukunkana is played by Grimhilde @GrimhildeVTNaukon "Condemned" IseFerd is played by CandorCore @CandorCoreMeris is played by Marilyn Robbins @marerobbyEditing and Music by Chelsea Love See acast.com/privacy for privacy and opt-out information.

This episode reviews what you need to know about feeding hatchling chameleons.

Date: 551/1/2732  Patient: Ikogrisk. Ceresaur   Patient ID: 00347891 Presenting complaint: Pre-flight Safety Check It's Dr Underwood's first day at the Vesta Clinic. But . . . perhaps she shouldn't have told them that.  __________________________________________________________   (Please see the end of the episode description for content warnings!)    The Vesta Clinic was created by AMC. Music by AMC and Ruby Campbell.  Credits read by Kamen Cooley-Greene.    Transcripts are available at https://www.thevestaclinic.com/episodes   Please consider supporting us on Patreon! The bonus story for this episode is called ‘Hatchlings' and is available at https://www.patreon.com/vestaclinicpod    You can also find us on social media on twitter, tumblr and instagram at @vestaclincpod!    This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.   Sound Effect Attributions:  Glitch Faulty Error Sound Design 2.wav by original_sound at Freesound.org BEEP.wav by anthonychartier2020 at Freesound.org  Spaceship compartment door.With pneumatics(8lrs,mltprcssng).wav by newlocknew at Freesound.org  Typing metal plate(reson,rev,DTBlkfx,Eq,Extr,sat,dcmtr)12.wav by newlocknew at Freesound.org  Content Warnings: loud computer glitch sound effects, deliberate self injury (not linked to mental illness), description of injury, discussion of military service/conscription

I bring on experienced chameleon breeders to share different approaches to raising chameleon hatchlings from hatching (or birth) to about three months of age. All three individually raise their babies. Included in today's episode is Jonathan Hill from iPardalis Chris Young from Kaizen Chameleons Sean Mcneeley from McZoos Exotics They answer my questions and then we all answer questions from our live studio audience.

Michelle from GG Wildlife Rescue chats about the mice infestation and the effect of baits on wildlife and pets. Snake hatchlings are making their way in the world and Michelle gives tips on keeping them out of your yard and what to do if you encounter one. See omnystudio.com/listener for privacy information.

Right now, Josh and Mike are going through the official Lost Episode Rankings countdown, as ranked by the listeners of Down the Hatch. In this podcast, they discuss the bottom three episodes of Lost, according to the Hatchlings. The post Lost: Down The Hatch | Episode Rankings Part 1: 111 – 109 appeared first on PostShowRecaps.com.

Right now, Josh and Mike are going through the official Lost Episode Rankings countdown, as ranked by the listeners of Down the Hatch. In this podcast, they discuss the bottom three episodes of Lost, according to the Hatchlings. The post Lost: Down The Hatch | Episode Rankings Part 1: 111 – 109 appeared first on PostShowRecaps.com.

The-Rink.com host Jeff Osborn is joined by prospect guru Kyle Pereira, from Last Word on Puck, to discuss the prospects in the Kraken system and their 1–3–1 start to the regular season. ⚓ Kraken start 1-3-1, but please don't panic. ⚓ Our opinions of the Kraken players thus far ⚓ Moves and injuries ⚓ What is up with the Kraken netminders? ⚓ Who are some current roster players that should be watched? ⚓ What about the draft prospects, tell us everything! ⚓ We answer some reader/listener questions. Please do us a favor. Subscribe, rate this episode, share with your friends, and even write us a review. The best reviews will be read on the air. Also, please help spread the word to more #RinkRats and visit our sponsor www.PUCKHCKY.com. Use the discount code "THERINK" for 10% off all orders. Are you a RinkRat who also owns a business? Our data shows RinkCast listeners are (like you) affluent, discerning, and want to patronize like-minded brands. As part of our growth, we're looking for an exclusive advertiser, at a VERY low cost.  Email podcast@the-rink.com for more details

CW: Mention of deadname, gender dysphoriaFaces is GMed by icy Sheets. They can be found on twitter @icynewyear or at icynewyear.comLight Hammer slash Requiem was played by T. Huth. Void Viper was played by ExpHP, he/him. You probably won't find him at @ItsExpHP on Twitter, but it's worth a try. Enki was played by Zhil, he/him or they/them. You can find them at @carlrealperson on Twitter. Portia was played by Satya Amira Omer, she/her. Satya is a transbian with too many feelings and can be found at @SatyaV20 on Twitter. Quetzal was played by Fabby Garza, she/her. Fabby is a games writer, podcaster, sensitivity consultant and the cutest bear girl in the world. She can be found at @fabby_garza on twitter and as a cast member in Eidolon Playtest. Void Viper was played using the custom playbook, The Bonded, written by Loren Peterson, he/him. Loren is the GM for Nerds on a Roll, where the Bonded was first introduced. You can find him at @dm_lsp on Twitter and at dmlsp.itch.io. You can find Nerds on a Roll at @NOAR_pocast on Twitter. Light Hammer/Requiem was played using the custom playbook, The Persona, written by Kyle Rawlings of Five Point Games. You can find Kyle, they/them or he/him, on Twitter @830toawesome or at fivepointsgames.itch.io.Music from https://filmmusic.io "Black Vortex" by Kevin MacLeod (https://incompetech.com)License: CC BY (http://creativecommons.org/licenses/by/4.0/)

Faces is GMed by icy Sheets. They can be found on twitter @icynewyear or at icynewyear.comLight Hammer slash Requiem was played by T. Huth. Void Viper was played by ExpHP, he/him. You probably won't find him at @ItsExpHP on Twitter, but it's worth a try. Enki was played by Zhil, he/him or they/them. You can find them at @carlrealperson on Twitter. Portia was played by Satya Amira Omer, she/her. Satya is a transbian with too many feelings and can be found at @SatyaV20 on Twitter. Quetzal was played by Fabby Garza, she/her. Fabby is a games writer, podcaster, sensitivity consultant and the cutest bear girl in the world. She can be found at @fabby_garza on twitter and as a cast member in Eidolon Playtest. Void Viper was played using the custom playbook, The Bonded, written by Loren Peterson, he/him. Loren is the GM for Nerds on a Roll, where the Bonded was first introduced. You can find him at @dm_lsp on Twitter and at dmlsp.itch.io. You can find Nerds on a Roll at @NOAR_pocast on Twitter. Light Hammer/Requiem was played using the custom playbook, The Persona, written by Kyle Rawlings of Five Point Games. You can find Kyle, they/them or he/him, on Twitter @830toawesome or at fivepointsgames.itch.io.Music from https://filmmusic.io "Black Vortex" by Kevin MacLeod (https://incompetech.com)License: CC BY (http://creativecommons.org/licenses/by/4.0/)

Faces is GMed by icy Sheets. They can be found on twitter @icynewyear or at icynewyear.comLight Hammer slash Requiem was played by T. Huth. Void Viper was played by ExpHP, he/him. You probably won't find him at @ItsExpHP on Twitter, but it's worth a try. Enki was played by Zhil, he/him or they/them. You can find them at @carlrealperson on Twitter. Portia was played by Satya Amira Omer, she/her. Satya is a transbian with too many feelings and can be found at @SatyaV20 on Twitter. Quetzal was played by Fabby Garza, she/her. Fabby is a games writer, podcaster, sensitivity consultant and the cutest bear girl in the world. She can be found at @fabby_garza on twitter and as a cast member in Eidolon Playtest. Void Viper was played using the custom playbook, The Bonded, written by Loren Peterson, he/him. Loren is the GM for Nerds on a Roll, where the Bonded was first introduced. You can find him at @dm_lsp on Twitter and at dmlsp.itch.io. You can find Nerds on a Roll at @NOAR_pocast on Twitter. Light Hammer/Requiem was played using the custom playbook, The Persona, written by Kyle Rawlings of Five Point Games. You can find Kyle, they/them or he/him, on Twitter @830toawesome or at fivepointsgames.itch.io.Music from https://filmmusic.io "Black Vortex" by Kevin MacLeod (https://incompetech.com)License: CC BY (http://creativecommons.org/licenses/by/4.0/)

Brad Dwyer, co-founder of Roboflow, discussed the past 18 months for the company and how the business has grown to what it is today.A serial entrepreneur, Dwyer started his first company, Hatchlings, while a student at Iowa State University. His parents knew he'd be an entrepreneur after attending a wedding where Dwyer learned about supply and demand. He sold his parents quarters to park for $2 each, his first profitable business. He was five years old.

Today, we will betalking about the saltwater crocodile, the largest reptile on the Earth. Thesegiant beasts are known for being aggressive, and sometimes attack people.First, saltwatercrocodiles are very large and bulky reptiles, which is different from other,leaner crocodile species. They are the largest of the crocodilians. They havelong, wide snouts that make up most of their head. A pair of ridges, which arelike raised, hard scales, go from the eyes up to an area near the nostrils. Thescales are oval shaped, and raised, bony plates, known as scutes, can be foundon the back. However, in saltwater crocodiles, the scutes are usually verysmall or sometimes absent. Adult crocodiles are usually muddy, dark green incolor, with some lighter tan or grey areas sometimes. The color can vary, sosome adults are paler, while others are darker and almost black. The belly iswhite or yellow. There are stripes on the sides of the crocodile, but theydon't touch the belly. The tails are grey, and have dark bands on them.Saltwatercrocodiles have broad diets, and do not need to eat often. Hatchlings, or veryyoung crocodiles, will eat things such as small fish, frogs, insects, andaquatic invertebrates like shrimp and crayfish. Juveniles will eat the sameanimals, but they will also eat larger animals, such as larger fish, small tomedium sized mammals, birds, and cephalopods like squids and octopuses. Assaltwater crocodiles grow larger, their diets become more varied. Adults areeven capable of killing and eating deer, cattle and buffalo, kangaroos,orangutans, tigers, and humans. Crocodiles will submerge themselves into waterand swim towards their prey, before suddenly jumping out of the water andambushing prey. They can eat small prey whole, but for larger prey, they willdo something called the “death roll”. This is when the crocodile drags preyinto the water, and rolls it around while tearing off meat to eat. Crocodiles havethe strongest bite of any living animal, since they have a lot of jaw muscle.This muscle can be seen bulging on the sides of the head. However, this muscleis only good for biting down, but not for opening its mouth. This means you cantape a crocodile's mouth shut and it will not be able to open its mouth.For wild suzhou,I'm Ciana, thanks for listening and see you next time.

Today, we will betalking about the saltwater crocodile, the largest reptile on the Earth. Thesegiant beasts are known for being aggressive, and sometimes attack people.First, saltwatercrocodiles are very large and bulky reptiles, which is different from other,leaner crocodile species. They are the largest of the crocodilians. They havelong, wide snouts that make up most of their head. A pair of ridges, which arelike raised, hard scales, go from the eyes up to an area near the nostrils. Thescales are oval shaped, and raised, bony plates, known as scutes, can be foundon the back. However, in saltwater crocodiles, the scutes are usually verysmall or sometimes absent. Adult crocodiles are usually muddy, dark green incolor, with some lighter tan or grey areas sometimes. The color can vary, sosome adults are paler, while others are darker and almost black. The belly iswhite or yellow. There are stripes on the sides of the crocodile, but theydon't touch the belly. The tails are grey, and have dark bands on them.Saltwatercrocodiles have broad diets, and do not need to eat often. Hatchlings, or veryyoung crocodiles, will eat things such as small fish, frogs, insects, andaquatic invertebrates like shrimp and crayfish. Juveniles will eat the sameanimals, but they will also eat larger animals, such as larger fish, small tomedium sized mammals, birds, and cephalopods like squids and octopuses. Assaltwater crocodiles grow larger, their diets become more varied. Adults areeven capable of killing and eating deer, cattle and buffalo, kangaroos,orangutans, tigers, and humans. Crocodiles will submerge themselves into waterand swim towards their prey, before suddenly jumping out of the water andambushing prey. They can eat small prey whole, but for larger prey, they willdo something called the “death roll”. This is when the crocodile drags preyinto the water, and rolls it around while tearing off meat to eat. Crocodiles havethe strongest bite of any living animal, since they have a lot of jaw muscle.This muscle can be seen bulging on the sides of the head. However, this muscleis only good for biting down, but not for opening its mouth. This means you cantape a crocodile's mouth shut and it will not be able to open its mouth.For wild suzhou,I'm Ciana, thanks for listening and see you next time.

Today, we will betalking about the saltwater crocodile, the largest reptile on the Earth. Thesegiant beasts are known for being aggressive, and sometimes attack people.First, saltwatercrocodiles are very large and bulky reptiles, which is different from other,leaner crocodile species. They are the largest of the crocodilians. They havelong, wide snouts that make up most of their head. A pair of ridges, which arelike raised, hard scales, go from the eyes up to an area near the nostrils. Thescales are oval shaped, and raised, bony plates, known as scutes, can be foundon the back. However, in saltwater crocodiles, the scutes are usually verysmall or sometimes absent. Adult crocodiles are usually muddy, dark green incolor, with some lighter tan or grey areas sometimes. The color can vary, sosome adults are paler, while others are darker and almost black. The belly iswhite or yellow. There are stripes on the sides of the crocodile, but theydon't touch the belly. The tails are grey, and have dark bands on them.Saltwatercrocodiles have broad diets, and do not need to eat often. Hatchlings, or veryyoung crocodiles, will eat things such as small fish, frogs, insects, andaquatic invertebrates like shrimp and crayfish. Juveniles will eat the sameanimals, but they will also eat larger animals, such as larger fish, small tomedium sized mammals, birds, and cephalopods like squids and octopuses. Assaltwater crocodiles grow larger, their diets become more varied. Adults areeven capable of killing and eating deer, cattle and buffalo, kangaroos,orangutans, tigers, and humans. Crocodiles will submerge themselves into waterand swim towards their prey, before suddenly jumping out of the water andambushing prey. They can eat small prey whole, but for larger prey, they willdo something called the “death roll”. This is when the crocodile drags preyinto the water, and rolls it around while tearing off meat to eat. Crocodiles havethe strongest bite of any living animal, since they have a lot of jaw muscle.This muscle can be seen bulging on the sides of the head. However, this muscleis only good for biting down, but not for opening its mouth. This means you cantape a crocodile's mouth shut and it will not be able to open its mouth.For wild suzhou,I'm Ciana, thanks for listening and see you next time.

Today, we will betalking about the saltwater crocodile, the largest reptile on the Earth. Thesegiant beasts are known for being aggressive, and sometimes attack people.First, saltwatercrocodiles are very large and bulky reptiles, which is different from other,leaner crocodile species. They are the largest of the crocodilians. They havelong, wide snouts that make up most of their head. A pair of ridges, which arelike raised, hard scales, go from the eyes up to an area near the nostrils. Thescales are oval shaped, and raised, bony plates, known as scutes, can be foundon the back. However, in saltwater crocodiles, the scutes are usually verysmall or sometimes absent. Adult crocodiles are usually muddy, dark green incolor, with some lighter tan or grey areas sometimes. The color can vary, sosome adults are paler, while others are darker and almost black. The belly iswhite or yellow. There are stripes on the sides of the crocodile, but theydon't touch the belly. The tails are grey, and have dark bands on them.Saltwatercrocodiles have broad diets, and do not need to eat often. Hatchlings, or veryyoung crocodiles, will eat things such as small fish, frogs, insects, andaquatic invertebrates like shrimp and crayfish. Juveniles will eat the sameanimals, but they will also eat larger animals, such as larger fish, small tomedium sized mammals, birds, and cephalopods like squids and octopuses. Assaltwater crocodiles grow larger, their diets become more varied. Adults areeven capable of killing and eating deer, cattle and buffalo, kangaroos,orangutans, tigers, and humans. Crocodiles will submerge themselves into waterand swim towards their prey, before suddenly jumping out of the water andambushing prey. They can eat small prey whole, but for larger prey, they willdo something called the “death roll”. This is when the crocodile drags preyinto the water, and rolls it around while tearing off meat to eat. Crocodiles havethe strongest bite of any living animal, since they have a lot of jaw muscle.This muscle can be seen bulging on the sides of the head. However, this muscleis only good for biting down, but not for opening its mouth. This means you cantape a crocodile's mouth shut and it will not be able to open its mouth.For wild suzhou,I'm Ciana, thanks for listening and see you next time.

New Jersey residents stepped up to save over 800 baby turtle hatchlings. On Wednesday, Stockton University revealed in a social media post that its vivarium is currently caring for hundreds of diamondback terrapin hatchlings after Good Samaritans pulled the baby reptiles from storm drains in Ocean City. "In the past few weeks, Stockton University's Vivarium has welcomed 826 diamondback terrapin hatchlings that hid from the winter temperatures underground in their nest chambers," the Facebook post from the school read. "These spring emergers that survived for months off of their yolk sacs were scooped out of storm drains in Ocean City, N.J." The university also noted that the rescuers found the stuck reptiles because they were already looking for animals in need. According to the school's post, some of the rescuers regularly look for young turtles crossing the street in spring since the little reptiles can have trouble getting up the curb. Rescuers first spotted the turtles caught in the storm drain because they were on the lookout for creatures that needed help crossing the road.

Podcast TimeStamps: https://jpst.it/2vpx5 ===Links for full context=== Secure Containers - No, it isn't about hatchets: https://callmecasual.blogspot.com/201... Direct Quotes (with links) from Nikita Regarding Secure Containers, "Hatchlings", and Scav mode: https://www.reddit.com/r/EscapefromTa... How to "Make Mindful Steps" to Change Secure Contains Without Hurting New/Bad Players: https://imgur.com/bfQo8Ee In this episode, we invite guest ArxMessor to discuss how containers are inherently anti-hardcore. Arx has been playing EFT since it's inception and his passion for the project has lead him to start questioning Tarkov true hardcore nature. It all started with hatching running but is now currently creating and writing articles that both document BSG's on going development of the game. And, provides critical feedback on what could be changed and/or improved for the sake of maintaining the hardcore experience Tarkov provides. Be sure to check out ArxMessor Full Blog!: https://callmecasual.blogspot.com/ Get featured in our next episode! Leave us a message here: https://anchor.fm/scavtalk/message - Twitter https://twitter.com/Church1x1 - Twitter https://twitter.com/Gigabeef --- Send in a voice message: https://anchor.fm/scavtalk/message

Today's guest is the creator behind the game of Inspirisles and Hatchings Games, Rich Oxenham. He is creating games to promote deaf awareness and help you learn sign language: both BSL and ASL. In our conversation, we went over how the game is going to work and how it will teach you sign language. We also chatted about the Kickstarter process, like how they began the campaign with a budget of only 1000 pounds but ended up raising a whole lot more and the impact that had on the development of the game. We spoke about working in a community center with teenagers, the effect of playtesting during lockdowns, and we learned about what's next for Hatchings Games. I'm pretty excited to snag a copy of this game once it's available, which sounds like it should be in June. I think y'all will really enjoy learning about Rich and his projects.Before we jump into today's episode, it's business time. First up, we just released a new map pack on DM's Guild for Candlekeep Mysteries. Brenton went through the whole book and decided on 16 locations that he felt could use a battle map. He spent several weeks preparing them for you, and it's our first publication where the maps are in full color, not just black and white. So that was pretty exciting for us. You can find it by either going to DMsguild.com and searching for Lightheart Adventures as the author, or you can go to lightheartadventures.com/shop to find all our DM's Guild and DrivethruRPG publications in one spot.Next, we do have a Patreon for Lightheart Adventures and Roll Play Grow. You have options on whether you'd like to follow the adventurer track, which will get you maps and adventures, or the merchant track, which gets you some fun bonuses around this podcast like contributing questions to upcoming guests, a project spotlight on the show, and more. You can also support the show by subscribing, sharing with your friends and leaving a review! Reviews are super important for this show to be able to grow, so if you've been hanging out and you like what you're hearing, please drop me a review on your podcast platform of choice. Honestly the only review i've seen out there on apple podcasts is from before this show even dropped its first full episode, so I would very much love to hear from y'all and see if we can get that review number up.Okay, it is time to meet Rich!Find Rich & Hatchlings Games at:WebsiteInspirisles Itch.ioInspirisles Facebook PageHatchlings Games Facebook GroupTwitterFind Roll Play Grow:Show PagePatreonLightheart Adventures WebsiteLightheart TwitterLightheart InstagramDice Envy Dice Envy creates beautiful dice in a variety of materials. Use lightheartadv for 10% off your orderDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the show (https://patreon.com/rollplaygrow)

Sea turtles lay their eggs in burrows on sandy beaches.  Many species lay their eggs on the exact same beach year after year.  On average, sea turtles lay over 100 eggs in a nest and produce between 2 and 8 nests per season. Animals that produce such large numbers of eggs have this reproductive strategy […]

Highlights from a live show in Ballyshannon as part of the Donegal Bay and Bluestacks festival last autumn, with Olive Travers, Patrick Hull, Little John Nee, Colin Regan, Denise Blake, Conor and Michael Murray, Tara Connaghan and Ellie Nic Fhiongaile, Hatchlings and Sarah E Cullen

The turtle hatchlings are emerging from their nests, and turtles are starting to dig nests and lay eggs. The Masked Biologist explains this interesting survival mechanism in this week’s Wildlife Matters.

Nico and Shaine talk about Trump testing positively toward the negative for Covid-19, Joe Biden questioning whether you’re black or not, the Libertarian Party choosing their candidate for President and Vice President and some weird news. https://whatshapaning.simplecast.com/PATREON: https://www.patreon.com/whatshapaningSUBSCRIBESTAR: https://www.subscribestar.com/whats-hapaningPAYPAL: https://www.paypal.me/hapasupremacyLiberty Tees!!: http://bit.ly/2ANazBxUse promo code HAPA for 10% off Bitcoin address: 3EG5G1ToDqVpAp79VCspftXR2NM8uUqiWyBitcoin Cash address: 1QGroLJanB1YN7MPEfrpDvAfUbf7KjKrL8Litecoin address: LQr2bVtpQfDeYCkU3o6d4hTsoQAQYUkK9fEthereum address: 0xF664C4732776B78AB1d9A96B4Ce050C646F9F9b3 ☆♪Youtube: https://www.youtube.com/c/hapasupremacy☆♪Bitchute: https://www.bitchute.com/channel/hapasupremacy☆♪Twitter:✧Shaine: https://www.twitter.com/shainescalph✧Nicolette: https://www.twitter.com/petitenicoco☆♪Facebook: https://www.facebook.com/hapasupremacy☆♪Instagram:✧Shaine: https://www.instagram.com/shainescalph✧Nicolette: https://www.instagram.com/petitenicoco Track: NIVIRO - Dancin' [NCS Release]Music provided by NoCopyrightSounds.Watch: https://youtu.be/WiaxIRi5KPwFree Download / Stream: http://ncs.io/DancinYOMusic Credit: LAKEY INSPIREDTrack Name: "Wonder"Music By: LAKEY INSPIRED @ https://soundcloud.com/lakeyinspired

Our stories often discuss how human activities change the natural environment.  With most of us confined to our homes, the lack of human activities is having profound effects on the environment.  We are talking about some of these this week. Seven different species of sea turtles are found in the world’s oceans and play important […]

Two tuatara hatchlings have been sighted at the Orokonui Ecosanctuary near Dunedin. They're the first to be seen since adult tuatara were released at the ecosanctuary eight years ago. It's thought tuatara haven't thrived in this part of the world for eight hundred years. Kathryn Ryan speaks with Professor Alison Cree, Otago University's Department of Zoology, whose team made this exciting discovery.

In this episode, I am Joined by Richard Oxenham, Scriv the Bard, and Monique Franzsen to discuss running RPGs for kids and teens, the positive effects RPGs can have on people who play them, and writing RPG content for a young audience. You can find and support them on Twitter at: Scriv the Bard: @ScrivTheBard Monique Franzsen: @moniquefranzsen Richard Oxenham: @HatchlingDM If you'd like to keep up with the show or get in contact with me, you can find me on Twitter @CritSuccess_ or contact me via email at criticalsuccesspodcast@gmail.com

As the founder of the decade-long company Hatchlings Inc., programmer Brad Dwyer was willing to make the adjustments necessary to grow his company. Upon leaving Iowa State University before graduating, his technology startup proved to be a worthy investment of his time. Although Brad's journey has not been completely without struggle, his computer vision and augmented reality ideas ultimately created a fun and new virtual experience for people across the country.In this episode we will discuss:Transitioning from the gaming industry into augmented realityThe creation of Magic Sudoku The novelty of augmented reality providing contextual informationOur mobile devices being able to understand and recognize our environmentThinking about the company's success path 5-10 years in the futureQuotes:“If rewound 20 years and we told everybody that you were going to have a listening device that was always on in your pocket and everyone was going to have one of these, I think they would have had the same sort of [upset] reaction. But now we all carry around cell phones without even thinking about it. So these dystopian views of the future... it's easy to see the downside of things but it's a lot harder to imagine in which our lives are better.” (8:50)“What we've learned is the benefits of [this technology] have been so vast, people have been willing to give up some sense of privacy in exchange for these extra features and abilities in their life... I think there's a lot of responsibility involved in making sure that those trade-offs aren't too much and that we're not purposely moving ourselves into a dystopia.” (9:25)“You should think about why you want to start a company... Is this something that I really want to do?” (10:25)Links:Brad Dwyer Twitter:https://twitter.com/braddwyerHatchlings Inc. Website:https://about.hatchlings.com/Sponsors:LadyBossLadyBoss is a premium nutrition company that provides the best weight loss supplements in the world for women. To sign up for LadyBoss or research their amazing nutrition products, head here: https://www.ladyboss.com/lean?affiliate_id=1260607LiquidWebLiquidWeb offers e-commerce solutions to help get your online shop up and running! Check out their website and use the promo code below to obtain your shop's start-up discount:https://www.liquidweb.com/LiquidWeb Promo Code: Formula33

As the founder of the decade-old company Hatchlings Inc., programmer Brad Dwyer was willing to do make the adjustments necessary to grow the company and keep it alive. Upon leaving Iowa State University before graduating, his technology startup proved to be a worthy investment of his time. Although Brad's journey has not been completely without struggle, his computer vision and augmented reality ideas ultimately created a fun virtual experience for people across the world.In this episode we discuss:Brad's programming beginnings in junior highAchieving passive income through viral success The history and process of Hatchlings on Facebook Creating a subscription model for virtual goodsSponsors and the bumps along the road to successScaling up as the company grew to over 15 million usersDiversifying from Facebook to a mobile platformMaking hard decisions when a company's profits declineQuotes:“Think longer term, think bigger.” (8:05)“What makes Hatchlings special? Why did people play this for ten years? How can we leverage our strengths to expand in a strategic way rather than just throwing a bunch of money into things and seeing randomly if something was going to work?” (17:58)Links:Brad Dwyer Twitter:https://twitter.com/braddwyerHatchlings Inc. Website:https://about.hatchlings.com/Sponsors:LadyBossLadyBoss is a premium nutrition company that provides the best weight loss supplements in the world for women. To sign up for LadyBoss or research their amazing nutrition products, head here: https://www.ladyboss.com/lean?affiliate_id=1260607LiquidWebLiquidWeb offers e-commerce solutions to help get your online shop up and running! Check out their website and use the promo code below to obtain your shop's start-up discount: https://www.liquidweb.com/LiquidWeb Promo Code: Formula33

Kristin Rockaway is a native New Yorker and recovering corporate software engineer. After working in the IT industry for far too many years, she finally traded the city for the surf and chased her dreams out to Southern California, where she spends her days happily writing stories instead of code. When she’s not working, she enjoys spending time with her husband and son, browsing the aisles of her neighborhood bookstores, and planning her next big vacation. Her second novel, How to Hack a Heartbreak, will be released from Graydon House/HarperCollins on July 30, 2019. Her debut, is The Wild Woman’s Guide to Traveling the World. How to Hack a Heartbreak: By day, Mel Strickland is an underemployed help-desk tech at a startup incubator, Hatch, where she helps entitled brogrammers--"Hatchlings"--who can't even fix their own laptops, but are apparently the next wave of startup geniuses. And by night, she goes on bad dates with misbehaving dudes she's matched with on the ubiquitous dating app, Fluttr. But after one dick pic too many, Mel has had it. Using her brilliant coding skills, she designs an app of her own, one that allows users to log harassers and abusers in online dating space. It's called JerkAlert, and it goes viral overnight. Mel is suddenly in way over her head. Worse still, her almost-boyfriend, the dreamy Alex Hernandez--the only non-douchey guy at Hatch--has no idea she's the brains behind the app. Soon, Mel is faced with a terrible choice: one that could destroy her career, love life, and friendships, or change her life forever. Listen to this podcast on your favorite app. Copyrighted @AuthorsontheairGlobalRadioNetwork

Authors on the Air host Pam Stack welcomes fiction writer Kristin Rockaway.   Kristin Rockaway is a native New Yorker and recovering corporate software engineer. After working in the IT industry for far too many years, she finally traded the city for the surf and chased her dreams out to Southern California, where she spends her days happily writing stories instead of code. When she’s not working, she enjoys spending time with her husband and son, browsing the aisles of her neighborhood bookstores, and planning her next big vacation.   Her second novel, How to Hack a Heartbreak, will be released from Graydon House/HarperCollins on July 30, 2019. Her debut, isThe Wild Woman’s Guide to Traveling the World. How to Hack a Heartbreak:   By day, Mel Strickland is an underemployed helpdesk tech at a startup incubator, Hatch, where she helps entitled brogrammers--"Hatchlings"--who can't even fix their own laptops, but are apparently the next wave of startup geniuses. And by night, she goes on bad dates with misbehaving dudes she's matched with on the ubiquitous dating app, Fluttr.    But after one dick pic too many, Mel has had it. Using her brilliant coding skills, she designs an app of her own, one that allows users to log harrassers and abusers in online dating space. It's called JerkAlert, and it goes viral overnight.     Mel is suddenly in way over her head. Worse still, her almost-boyfriend, the dreamy Alex Hernandez--the only non-douchey guy at Hatch--has no idea she's the brains behind the app. Soon, Mel is faced with a terrible choice: one that could destroy her career, love life, and friendships, or change her life forever. Listen to this podcast on your favorite app.  Copyrighted @AuthorsontheairGlobalRadioNetwork

In this episode, Don talks with Stephan Reilly, Tyler Hall, and Chris Tenuta about their recently earned degrees in Game Design and time at the BGNLab, the research lab for the Brantford Games Network.     BGN Lab  http://bgnlab.ca/ @BGNlab   Stephan Reilly Twitter: @StephanReilly Insta: stephan.reilly Site: stephanreilly.wordpress.com Tyler Hall Twitter: @TylersHallWay Portfolio: tylershallway.com Instagram: TylersHallWay Chris Tenuta Twitter: @Chris_Tenuta Main Instagram: christenuta   (21:41) After the break, they continue their discussions about what they learned and how it can be applied to a broad range of games.   (1:02:50) Lastly, Brian Counter takes a look at the Quacks of Quedlinburg   Be sure to pre-order Grand Gamers Guild's latest offering Endangered.   Inverse Genius: http://www.inversegenius.com/ On Board Games is a proud member of the Punch Board Media Group. Patreon account: http://www.patreon.com/obgTwitter: @onboardgames RSS Feed: http://onboardgames.libsyn.com/rssEmail us: onboardgamesmailbag@gmail.com On Board Games Guild at Board Game Geek

On this episode, the largely untold [and very heartwarming] story of how 96 critically endangered sea turtle hatchlings survived this past summer in New York City—with help from dedicated scientists and a cozy office closet. In July, Big Apple beachgoers spotted a Kemp’s Ridley sea turtle laying eggs on West Beach. Two of them called a 24-hour wildlife hotline to report it, which very likely saved 96 tiny, precious lives. This was by far the farthest north a Kemp's has ever been known to nest. But it soon became clear that unusually high tides would swamp the nest, which would have meant disaster for the developing embryos, so an unusual plan was hatched to save them.  We speak with scientists and conservationists who cared for the nest  and answer questions such as whether it's a good sign that a Kemp's Ridley came all the way to NYC to nest.  If you enjoy this show, please visit www.patreon.com/mongabay to pledge any amount to keep it growing. Mongabay is a nonproft media outlet, so all support helps. We also love reviews, so please find the reviews section of the program that delivers your podcasts and tell the world about the Mongabay Newscast. Thank you! And please invite your friends to subscribe via Android, Apple Podcasts, Google Podcasts, Stitcher, TuneIn, Spotify or wherever they get podcasts.

Greater Des Moines (DSM) games company, Hatchlings, recently turned 10-years-old. In that time, it has amassed 15 million users and shares a prestigious award with Tesla’s Elon Musk. The company began when DSM entrepreneur Brad Dwyer started a Facebook game called The Worldwide Easter Egg Hunt, which became a viral sensation amassing 1 million users in its first year. In the game, players from around the globe try to collect all 5,000+ different eggs and compete to get the highest score each month.

This episode we talk about symbols of the Catholic Faith, a 4D VR Ultrasound, and the alliance of the Hearts of Jesus and Mary. Plus, our picks of the week!

On the beaches of the Great Barrier Reef, the first turtle hatchlings emerge from their shells and make a run for the ocean. Almost immediately, aerial and aquatic predators appear, hoping for an... The latest in science, culture, and history from Smithsonian Channel.

VitalAction.org VitalAction GoFundMe Listen to Tim’s music (ForEveryAction) @vitalaction @timxrusmisel Check out my Vlog with Tim Buy A “Veg Head” Shirt! Use “PLANTRIOTIC” discount code...

Primary reptile keeper Chuck Becker of Utah's Hogle Zoo discusses hatchlings and the Mystery Science Theatre 3000 version of the Pod People.

Primary reptile keeper Chuck Becker of Utah's Hogle Zoo discusses hatchlings and the Mystery Science Theatre 3000 version of the Pod People.

Primary reptile keeper Chuck Becker of Utah's Hogle Zoo discusses hatchlings and the Mystery Science Theatre 3000 version of the Pod People.

s5e3 Hatchlings - Frank and Rob discuss the third episode of the fifth and final season of Falling Skies.  Learn more, subscribe, or contact us at www.southgatemediagroup.com  Be sure to rate this episode on iTunes.  It really helps other people find us.  Thanks! @SMGPods @SecondMassPod @DJFrankStella @RSouthgate https://www.facebook.com/pages/Second-Mass-Report-The-Falling-Skies-Podcast/

In this 18th episode of Berserker Cast, Darrell and I (Emilee) take a look at Falling Skies season 5 episode 3 entitled "Hatchlings". Aside from being a little disappointed by the misleading nature of the episode title, based on the word as it was used in season 4, both Darrell and I were very happy with this installment of the post-apocalyptic drama! Tension between the characters was excellent, we got some great information about the alien species communicating with Tom, and, as always, an exploration into family and making connections. Read more... The post BC 18 – S5E3 – Hatchlings Review appeared first on Golden Spiral Media- Entertainment Podcasts, Technology Podcasts & More.

Hank Davis and Alex Cruz recap the Season 5 episode of Falling Skies from TNT titled: Hatchlings. James, Jim, Wayne and Agent Matt all chime in and give their thoughts on the Amblin Entertainment show Falling Skies. It's the Falling Skies Fan Podcast brought to you by TPE Network. The Falling Skies Fan Podcast is produced by James from Melbourne. Use the SpeakPipe widget on the website, call the voicemail line 810-309-8445 or email us at feedback at tpenetwork dot com.

In this 18th episode of Berserker Cast, Darrell and I (Emilee) take a look at Falling Skies season 5 episode 3 entitled "Hatchlings". Aside from being a little disappointed by the misleading nature of the episode title, based on the word as it was used in season 4, both Darrell and I were very happy with this installment of the post-apocalyptic drama! Tension between the characters was excellent, we got some great information about the alien species communicating with Tom, and, as always, an exploration into family and making connections. Read more... The post BC 18 – S5E3 – Hatchlings Review appeared first on Golden Spiral Media- Entertainment Podcasts, Technology Podcasts & More.

AFTERBUZZ TV – Falling Skies edition, is a weekly “after show” for fans of TNT's Falling Skies. In this episode hosts Phil Svitek and Lauren Lograsso discuss episode 3. FALLING SKIES opens in the chaotic aftermath of an alien attack … Read the rest The post Falling Skies S:5 | Hatchlings E:3 | AfterBuzz TV AfterShow appeared first on AfterBuzz TV Network.

Our featured startup this week is FarmLogs and we're joined by Dylan Hamilton, their Des Moines-based Growth Team Lead. Our community guest is Brad Dwyer, founder of Hatchlings.The Welch Avenue Show is hosted by Geoff Wood of Welch Avenue and Chris New of Quadrant5.tv. We record live each Wednesday morning around 10:30 am Central following 1 Million Cups Des Moines at Green Grounds Cafe in West Des Moines.If you enjoy the show give us a rating and review in iTunes.Download podcast

Our featured startup this week is FarmLogs and we're joined by Dylan Hamilton, their Des Moines-based Growth Team Lead. Our community guest is Brad Dwyer, founder of Hatchlings.The Welch Avenue Show is hosted by Geoff Wood of Welch Avenue and Chris New of Quadrant5.tv. We record live each Wednesday morning around 10:30 am Central following 1 Million Cups Des Moines at Green Grounds Cafe in West Des Moines.If you enjoy the show give us a rating and review in iTunes.Download podcast 

  Toronto duo, Young Wolf Hatchlings, have a nice wee Podcast packed full of bangers for everyone today. Enjoy at your next party, pre-drink, or turn up.   [wpaudio dl=”true” text=”Salacious Sound – Podcast 031: Young Wolf Hatchlings” url=”http://salacioussound.com/wp-content/uploads/2013/05/Salacious-Sound-Podcast-031-Young-Wolf-Hatchlings.mp3″]      Young Wolf  Hatchlings: SoundCloud | Facebook | Twitter Tracklist: 1. Lemâitre – Iron Pyrite 2. Dillon […] Related posts: Doldrums – Egypt (Young Wolf Hatchlings Remix) Young Wolf Hatchlings & Thomas D’Arcy – You Lovely You Podcast 024 – StatiK

What's Going On I spent some time "Seeding" Servers with my alts. The Lunar Festival is a great time to put alts up and get Flight Paths. Then when or if you want an alt on that server, then they already have the flight paths. I wanted a Ravager on my Blood Elf. I figured out a way to get my Horde Character into the Alliance starting area. All it took was some trial and error and some dying. WoW News Lunar Festival Feb 16 – March 8 Darkmoon Faire Mulgore March 5 – 11 http://armory.worldofwarcraft.com/ Alt Round Up Ctrl Alt WoW Armory Page Pril & Zee – Blood Elf Twins Pril = Hunter LW/Skinner Zee = Rogue JC/Miner • Level 22/21 • Grinding for Leather in Southern Barrens. Quite successful, Thunder lizards and their yummy tails, thunderhawks and hyenas. Pril got her cooking to 125 and got the book from Aprillian • And of course Pril got her Ravager from Bloodmyst Isle Creed & Ctraltwow Blood Elf Priest Tailor/Enchanter and Orc Warrior Miner/Blacksmith • Level 11/11 Aprillian Main Troll Hunter Miner/Skinner • Level 54 o Ran out to Shadowsprey o Did the trial run to Bloodmyst Isle Rilfire Tauren Hunter LW/Skinner • Level 48 • Grinding Scalding Whelplings for leather with Treshel Treshel Orc Hunter Miner/JC • Level 44, dinged in the Badlands • Grinding Scalding Whelplings for leather with Rilfire • Did some jewelcrafting, got a bunch of jewels prospecting horded iron ore. Hard to get tin for bronze Theeo Orc Rogue Alch/Herb • Level 19 • Hanging out in Silvermoon Sherinna Troll Priest Alch Ench • Level 14 • Still sitting in Ratchet Bankers/Sellers • Trex Draenei Hunter Skinner/Herbalist o Level 12 o Dax Connection in the Vault of Lights o Blood Elf Bandits Masks • Illia o Didn't seel any moths, sold some comfortable hats and hides The Dragonhawk Hatchling Connection • Aprillian sends 4 gold pieces to Creed – costs 4 gold 30 c • Creed buys 9 Hatchlings @ 45 silver a piece and mails them back to Aprillian 45s 30c X 9 = 4 g 7s 7c • Aprillian puts them up for auction to April on the Horde/Alliance AH o Aprillian puts them up for 25s, pays a 3s 12c deposit, the AH cut is 3s75c so Aprillian receives 24s 37c . So basically that's 3s75c x 9 = 33s 75c • Trex puts them up on Alliance AH o Favorite Places in WoW Azuremyst and Bloodmyst Isle • Server Selection Blood Elf Bandit Masks 10 – 12 gold on Baelgun Alliance AH Email ctrlaltwow@gmail.com