Podcasts about Anki

Co nám o současné politice říká to, že lidé jako Donald Trump dnes vyhrávají volby? Jaké milníky nás v posledních dekádách k tomuto vývoji nasměřovaly a jaký vývoj je možné očekávat? Po nějaké době se redakce Alarmu opět objevila v Brně. V Kabinetu MÚZ jsme 14. května pořádali večírek společně s festivalem Beseda u Bigbítu, na němž zahrál rapper Anki, písničkářka Barbora Hora se svou kapelou nebo Bernard z brněnského kolektivu Fungus. Večer ovšem zahájila důležitá debata o aktuální geopolitické situaci, kterou připravil a moderoval šéfredaktor Alarmu Jan Bělíček. O Trumpovi a novém světovém řádu společně s ním diskutovali politoložka Anna Pospěch Durnová z Vídeňské univerzity a politolog Pavel Barša působící na Filozofické fakultě Univerzity Karlovy. Právě záznam z této debaty vám nyní přinášíme. Anna Pospěch Durnová se domnívá, že zvolení Donalda Trumpa je součástí širšího příběhu o selhání emancipačních hnutí druhé poloviny 20. století. „Příběh emancipace – ať už jsou to menšiny, náboženské menšiny, genderová identita –, který píšeme od šedesátých let 20. století a v němž se tvrdí, že se máme snažit o nějakou všeobecnou spravedlnost a vytvářet spletitý příběh emancipace a toho, že na tomto světě můžeme nějak pospolitě žít, se pro Trumpovi voliče stává hrozbou, na kterou je potřeba reagovat – klidně i radikálně,“ říká v debatě Anna Pospěch Durnová. Připomíná také, že Trumpovy kroky jeho voliči nepovažují za skandální, ale za něco, čemu tleskají. Pro Pavla Baršu je to jen jedna část příběhu a za důležitější považuje selhání liberální globalizace. Globalizace a digitalizace podle něj zpřítomnila i těm nejchudším lidem realitu ekonomických a společenských nerovností, které v posledních dekádách výrazně akcelerují. Právě to přináší společenskou deziluzi a frustraci. „To přináší obrovský resentiment. Lidé, kteří jsou na opačném konci společenské hierarchie i díky novým technologiím a smartphonům v reálném čase vidí obrovské majetky a blyštivý život bohatých. Je to globální panoptikum nerovnosti,“ říká Pavel Barša. Podle něj sledujeme také zánik meritokracie a představy, že lidé jsou v životě za svou snahu po zásluze odměněni. Podpořte vznik dalších dílů: https://www.darujme.cz/projekt/1205779

Das klingt nach einer echten Herausforderung – aber mit maximalem Fokus, Speedlearning und richtigem Mindset kann man in 3 Tagen zumindest eine solide Basis in einer neuen Sprache schaffen. Nicht fließend, aber funktional: verstehen, einfache Sätze bilden, erste Gespräche führen. So können wir das gemeinsam schaffen: Bevor's losgeht: Was genau willst du können nach 3 Tagen? - Alltagssprache? (z. B. reisen, Smalltalk) - Berufssprache? (z. B. Meetings) - Nur passives Verstehen oder auch aktiv sprechen?

Whitney Lee is a well-known figure in cloud computing. She is an international keynote speaker, the host of several successful streaming shows, and a Cloud Native Computing Foundation (CNCF) Ambassador. But here's the wild part: Whitney wrote her first line of code EVER when she was almost 40 years old, only 6 years ago

Czym jest wydziedziczenie i jaki ma związek z zachowkiem? Jakie są przesłanki konieczne do przeprowadzenia wydziedziczenia? Czy można wydziedziczyć spadkobiercę nawet wówczas, gdy spadkodawca wybaczył mu winy? Czym jest dział spadku i kiedy należy go dokonać? O tym w kolejnym odcinku Poradnika Prawnego Bartłomiej Pograniczny rozmawia z Emilią Boruc i Tomaszem Wojciechowskim – notariuszami z Izby Notarialnej w Warszawie. Z podcastu słuchacze dowiedzą się między innymi tego, czy jest możliwość zakwestionowania wydziedziczenia, czym różni się zrzeczenie się dziedziczenia od odrzucenia spadku, kiedy można przeprowadzić dział spadku i w jakich okolicznościach należy odprowadzić od tej czynności podatek. Eksperci wyjaśniają także, dlaczego dział spadku przeprowadzony u notariusza przebiegnie znacznie sprawniej i szybciej oraz ile kosztuje ta czynność. Na podcast zaprasza Izba Notarialna w Warszawie. "Głosem eksperta" to podcast, w którym rozmawiamy na ważne tematy, opowiadamy o istotnych zjawiskach, wyjaśniamy trendy i zastanawiamy się nad tym, co warto wiedzieć tu i teraz, a także już za chwilę, w przyszłości. To rozmowy przygotowywane przez uznanych i doświadczonych dziennikarzy, które zawierają lokowanie marki.

In this episode of the Jack Westin MCAT Podcast, Mike and Molly dive into one of the most important topics for MCAT success: how to actually learn the content like a top scorer.

Gdzie leży cienka granica między przyjaźnią a nienawiścią? Do czego są w stanie posunąć się młode dziewczyny wiedzione pozornie błahym konfliktem? Jak wiele mogą przegrać jego wszystkie strony? Sprawa Johanny Jansson i Mai Hellman odkrywa najmroczniejsze oblicza młodych dusz.

The First Principles of Acute Otitis Media: Join us as we uncover the principles that underly what is such a common GP presentation that affects children worldwide! We cover everything from the anatomical basis to the specific management guidelines. Hear us out?1PM Notion: Acute Otitis Media=== Other Links ===Check out our new website⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠1pm.wiki⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Notion document⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, free Anki flashcards, and podcast episodes.Check out our Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/firstprinciplesofmedicine/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Recorded Mid 2023. Host: Jason D'Silva. Guests: ⁠JT Yeung⁠, Adian Izwan and Rebecca Richardson (Becky's Notes). Produced by ⁠⁠⁠⁠Jasper Jackson.If you have any ideas or feedback, comment on this Notion document, or shoot us an email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hello@1pm.wiki⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠***We're really excited to be collaborating with Becky from Becky's notes, a UK based resource, to produce infographics for our visual learners out there. Becky's notes brings together all the key topics medical students need to know in a readily available place, reviewed by specialists in the field. These visually striking notes are a refreshing change from all the boring textbooks.You can check her out on Instagram at ⁠⁠⁠⁠@beckysnotes01⁠⁠⁠ ⁠and get her books at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/Beckysnotes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠© First Principles of Medicine 2024

The First Principles of Acute Otitis Media Summary: Join us as we summarise the key principles and takeaways about diagnosis and management of AOM.1PM Notion: Acute Otitis Media=== Other Links ===Check out our new website⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠1pm.wiki⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Notion document⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, free Anki flashcards, and podcast episodes.Check out our Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/firstprinciplesofmedicine/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Recorded Mid 2023. Host: Jason D'Silva. Guests: ⁠JT Yeung⁠, Adian Izwan and Rebecca Richardson (Becky's Notes). Produced by ⁠⁠⁠⁠Jasper Jackson.If you have any ideas or feedback, comment on this Notion document, or shoot us an email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hello@1pm.wiki⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠***We're really excited to be collaborating with Becky from Becky's notes, a UK based resource, to produce infographics for our visual learners out there. Becky's notes brings together all the key topics medical students need to know in a readily available place, reviewed by specialists in the field. These visually striking notes are a refreshing change from all the boring textbooks.You can check her out on Instagram at ⁠⁠⁠⁠@beckysnotes01⁠⁠⁠ ⁠and get her books at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/Beckysnotes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠© First Principles of Medicine 2024

Rollen som rekryterare genomgår en stor förändring. För många av oss är det idag en annan roll än den vi en gång klev in i. Lyssna till när Josefin och Anki beskriver den specialisering sker av vår profession, redan här nu och ännu mer framöver. Vill du höra mer om hur vi på HOME of Recruitment ser på utvecklingen av rollen? Anmäl dig till vårt webinar "Från reaktiv metodspecialist till strategisk affärspartner" via nedan länk. https://www.homeofrecruitment.se/webinar-fran-reaktiv-metodspecialist-till-strategisk-affarspartner

El proceso de oposición no solo es un reto físico y mental, sino también emocional. En esta entrevista, hablamos con Alberto sobre la gestión del miedo a no aprobar y en qué se ha apoyado para superar la montaña rusa de las oposiciones.¿Quieres prepararte con nosotros?https://formacion.ninja/?utm_source=spotifyNuestro Canal de WhatsApp:https://whatsapp.com/channel/0029VaDKoSOCcW4tN3Cuh10QSi te ha gustado el vídeo, dale 5 estrellas

Should you cram or use spaced repetition to learn Chinese? Discover when each method works best and why spaced repetition is key to long-term success.#learnchinese #review #vocabulary #cramming #srs #flashcardsLink to article on Hacking Chinese: Cramming vs. spaced repetition: When to use which method to learn Chinese: https://www.hackingchinese.com/cramming-vs-spaced-repetition-when-to-use-which-method-to-learn-chinese/Why spaced repetition software is uniquely well-suited to learning Chinese characters: https://www.hackingchinese.com/why-spaced-repetition-software-is-uniquely-well-suited-to-learning-chinese-characters/An introduction to extensive reading for Chinese learners: https://www.hackingchinese.com/introduction-extensive-reading-chinese-learners/The 10 best free Chinese reading resources for beginner, intermediate and advanced learners: https://www.hackingchinese.com/10-best-free-chinese-reading-resources-beginner-intermediate-advanced/The 10 best free Chinese listening resources for beginner, intermediate and advanced learners: https://www.hackingchinese.com/the-10-best-free-chinese-listening-resources-for-beginner-intermediate-and-advanced-learners/Reading is a lot like spaced repetition, only better: https://www.hackingchinese.com/reading-is-a-lot-like-spaced-repetition-only-better/Anki, the best of spaced repetition software: https://www.hackingchinese.com/anki-a-friendly-intelligent-spaced-learning-system/Pleco Software – The #1 Chinese dictionary app for iOS and Android: https://www.pleco.com/Skritter review: Boosting your Chinese character learning: https://www.hackingchinese.com/skritter-chinese-review-boosting-your-character-learning/How to best use flashcards to learn Chinese: https://www.hackingchinese.com/how-to-best-use-flashcards-to-learn-chinese/Spaced repetition software and why you should use it: https://www.hackingchinese.com/an-introduction-to-spaced-repetition-software/How to get good grades when studying Chinese: https://www.hackingchinese.com/studying-chinese-when-your-grades-matter/Beyond tīng bu dǒng, part 4: Learning to process spoken Mandarin quickly and effortlessly: https://www.hackingchinese.com/beyond-ting-bu-dong-part-4-learning-to-process-spoken-mandarin-quickly-and-effortlessly/Learn Chinese efficiently, not quickly: https://www.hackingchinese.com/learning-efficiently-vs-learning-quickly/More information and inspiration about learning and teaching Chinese can be found at: https://www.hackingchinese.com/Music: "Traxis 1 ~ F. Benjamin" by Traxis, 2020 - Licensed under Creative Commons Attribution (3.0)

We are working with Amplify on the 2025 State of AI Engineering Survey to be presented at the AIE World's Fair in SF! Join the survey to shape the future of AI Eng!We first met Snipd over a year ago, and were immediately impressed by the design, but were doubtful about the behavior of snipping as the title behavior:Podcast apps are enormously sticky - Spotify spent almost $1b in podcast acquisitions and exclusive content just to get an 8% bump in market share among normies.However, after a disappointing Overcast 2.0 rewrite with no AI features in the last 3 years, I finally bit the bullet and switched to Snipd. It's 2025, your podcast app should be able to let you search transcripts of your podcasts. Snipd is the best implementation of this so far.And yet they keep shipping:What impressed us wasn't just how this tiny team of 4 was able to bootstrap a consumer AI app against massive titans and do so well; but also how seriously they think about learning through podcasts and improving retention of knowledge over time, aka “Duolingo for podcasts”. As an educational AI podcast, that's a mission we can get behind.Full Video PodFind us on YouTube! This was the first pod we've ever shot outdoors!Show Notes* How does Shazam work?* Flutter/FlutterFlow* wav2vec paper* Perplexity Online LLM* Google Search Grounding* Comparing Snipd transcription with our Bee episode* NIPS 2017 Flo Rida* Gustav Söderström - Background AudioTimestamps* [00:00:03] Takeaways from AI Engineer NYC* [00:00:17] Weather in New York.* [00:00:26] Swyx and Snipd.* [00:01:01] Kevin's AI summit experience.* [00:01:31] Zurich and AI.* [00:03:25] SigLIP authors join OpenAI.* [00:03:39] Zurich is very costly.* [00:04:06] The Snipd origin story.* [00:05:24] Introduction to machine learning.* [00:09:28] Snipd and user knowledge extraction.* [00:13:48] App's tech stack, Flutter, Python.* [00:15:11] How speakers are identified.* [00:18:29] The concept of "backgroundable" video.* [00:29:05] Voice cloning technology.* [00:31:03] Using AI agents.* [00:34:32] Snipd's future is multi-modal AI.* [00:36:37] Snipd and existing user behaviour.* [00:42:10] The app, summary, and timestamps.* [00:55:25] The future of AI and podcasting.* [1:14:55] Voice AITranscriptswyx [00:00:03]: Hey, I'm here in New York with Kevin Ben-Smith of Snipd. Welcome.Kevin [00:00:07]: Hi. Hi. Amazing to be here.swyx [00:00:09]: Yeah. This is our first ever, I think, outdoors podcast recording.Kevin [00:00:14]: It's quite a location for the first time, I have to say.swyx [00:00:18]: I was actually unsure because, you know, it's cold. It's like, I checked the temperature. It's like kind of one degree Celsius, but it's not that bad with the sun. No, it's quite nice. Yeah. Especially with our beautiful tea. With the tea. Yeah. Perfect. We're going to talk about Snips. I'm a Snips user. I'm a Snips user. I had to basically, you know, apart from Twitter, it's like the number one use app on my phone. Nice. When I wake up in the morning, I open Snips and I, you know, see what's new. And I think in terms of time spent or usage on my phone, I think it's number one or number two. Nice. Nice. So I really had to talk about it also because I think people interested in AI want to think about like, how can we, we're an AI podcast, we have to talk about the AI podcast app. But before we get there, we just finished. We just finished the AI Engineer Summit and you came for the two days. How was it?Kevin [00:01:07]: It was quite incredible. I mean, for me, the most valuable was just being in the same room with like-minded people who are building the future and who are seeing the future. You know, especially when it comes to AI agents, it's so often I have conversations with friends who are not in the AI world. And it's like so quickly it happens that you, it sounds like you're talking in science fiction. And it's just crazy talk. It was, you know, it's so refreshing to talk with so many other people who already see these things and yeah, be inspired then by them and not always feel like, like, okay, I think I'm just crazy. And like, this will never happen. It really is happening. And for me, it was very valuable. So day two, more relevant, more relevant for you than day one. Yeah. Day two. So day two was the engineering track. Yeah. That was definitely the most valuable for me. Like also as a producer. Practitioner myself, especially there were one or two talks that had to do with voice AI and AI agents with voice. Okay. So that was quite fascinating. Also spoke with the speakers afterwards. Yeah. And yeah, they were also very open and, and, you know, this, this sharing attitudes that's, I think in general, quite prevalent in the AI community. I also learned a lot, like really practical things that I can now take away with me. Yeah.swyx [00:02:25]: I mean, on my side, I, I think I watched only like half of the talks. Cause I was running around and I think people saw me like towards the end, I was kind of collapsing. I was on the floor, like, uh, towards the end because I, I needed to get, to get a rest, but yeah, I'm excited to watch the voice AI talks myself.Kevin [00:02:43]: Yeah. Yeah. Do that. And I mean, from my side, thanks a lot for organizing this conference for bringing everyone together. Do you have anything like this in Switzerland? The short answer is no. Um, I mean, I have to say the AI community in, especially Zurich, where. Yeah. Where we're, where we're based. Yeah. It is quite good. And it's growing, uh, especially driven by ETH, the, the technical university there and all of the big companies, they have AI teams there. Google, like Google has the biggest tech hub outside of the U S in Zurich. Yeah. Facebook is doing a lot in reality labs. Uh, Apple has a secret AI team, open AI and then SwapBit just announced that they're coming to Zurich. Yeah. Um, so there's a lot happening. Yeah.swyx [00:03:23]: So, yeah, uh, I think the most recent notable move, I think the entire vision team from Google. Uh, Lucas buyer, um, and, and all the other authors of Siglip left Google to join open AI, which I thought was like, it's like a big move for a whole team to move all at once at the same time. So I've been to Zurich and it just feels expensive. Like it's a great city. Yeah. It's great university, but I don't see it as like a business hub. Is it a business hub? I guess it is. Right.Kevin [00:03:51]: Like it's kind of, well, historically it's, uh, it's a finance hub, finance hub. Yeah. I mean, there are some, some large banks there, right? Especially UBS, uh, the, the largest wealth manager in the world, but it's really becoming more of a tech hub now with all of the big, uh, tech companies there.swyx [00:04:08]: I guess. Yeah. Yeah. And, but we, and research wise, it's all ETH. Yeah. There's some other things. Yeah. Yeah. Yeah.Kevin [00:04:13]: It's all driven by ETH. And then, uh, it's sister university EPFL, which is in Lausanne. Okay. Um, which they're also doing a lot, but, uh, it's, it's, it's really ETH. Uh, and otherwise, no, I mean, it's a beautiful, really beautiful city. I can recommend. To anyone. To come, uh, visit Zurich, uh, uh, let me know, happy to show you around and of course, you know, you, you have the nature so close, you have the mountains so close, you have so, so beautiful lakes. Yeah. Um, I think that's what makes it such a livable city. Yeah.swyx [00:04:42]: Um, and the cost is not, it's not cheap, but I mean, we're in New York city right now and, uh, I don't know, I paid $8 for a coffee this morning, so, uh, the coffee is cheaper in Zurich than the New York city. Okay. Okay. Let's talk about Snipt. What is Snipt and, you know, then we'll talk about your origin story, but I just, let's, let's get a crisp, what is Snipt? Yeah.Kevin [00:05:03]: I always see two definitions of Snipt, so I'll give you one really simple, straightforward one, and then a second more nuanced, um, which I think will be valuable for the rest of our conversation. So the most simple one is just to say, look, we're an AI powered podcast app. So if you listen to podcasts, we're now providing this AI enhanced experience. But if you look at the more nuanced, uh, podcast. Uh, perspective, it's actually, we, we've have a very big focus on people who like your audience who listened to podcasts to learn something new. Like your audience, you want, they want to learn about AI, what's happening, what's, what's, what's the latest research, what's going on. And we want to provide a, a spoken audio platform where you can do that most effectively. And AI is basically the way that we can achieve that. Yeah.swyx [00:05:53]: Means to an end. Yeah, exactly. When you started. Was it always meant to be AI or is it, was it more about the social sharing?Kevin [00:05:59]: So the first version that we ever released was like three and a half years ago. Okay. Yeah. So this was before ChatGPT. Before Whisper. Yeah. Before Whisper. Yeah. So I think a lot of the features that we now have in the app, they weren't really possible yet back then. But we already from the beginning, we always had the focus on knowledge. That's the reason why, you know, we in our team, why we listen to podcasts, but we did have a bit of a different approach. Like the idea in the very beginning was, so the name is Snips and you can create these, what we call Snips, which is basically a small snippet, like a clip from a, from a podcast. And we did envision sort of like a, like a social TikTok platform where some people would listen to full episodes and they would snip certain, like the best parts of it. And they would post that in a feed and other users would consume this feed of Snips. And use that as a discovery tool or just as a means to an end. And yeah, so you would have both people who create Snips and people who listen to Snips. So our big hypothesis in the beginning was, you know, it will be easy to get people to listen to these Snips, but super difficult to actually get them to create them. So we focused a lot of, a lot of our effort on making it as seamless and easy as possible to create a Snip. Yeah.swyx [00:07:17]: It's similar to TikTok. You need CapCut for there to be videos on TikTok. Exactly.Kevin [00:07:23]: And so for, for Snips, basically whenever you hear an amazing insight, a great moment, you can just triple tap your headphones. And our AI actually then saves the moment that you just listened to and summarizes it to create a note. And this is then basically a Snip. So yeah, we built, we built all of this, launched it. And what we found out was basically the exact opposite. So we saw that people use the Snips to discover podcasts, but they really, you know, they don't. You know, really love listening to long form podcasts, but they were creating Snips like crazy. And this was, this was definitely one of these aha moments when we realized like, hey, we should be really doubling down on the knowledge of learning of, yeah, helping you learn most effectively and helping you capture the knowledge that you listen to and actually do something with it. Because this is in general, you know, we, we live in this world where there's so much content and we consume and consume and consume. And it's so easy to just at the end of the podcast. You just start listening to the next podcast. And five minutes later, you've forgotten everything. 90%, 99% of what you've actually just learned. Yeah.swyx [00:08:31]: You don't know this, but, and most people don't know this, but this is my fourth podcast. My third podcast was a personal mixtape podcast where I Snipped manually sections of podcasts that I liked and added my own commentary on top of them and published them as small episodes. Nice. So those would be maybe five to 10 minute Snips. Yeah. And then I added something that I thought was a good story or like a good insight. And then I added my own commentary and published it as a separate podcast. It's cool. Is that still live? It's still live, but it's not active, but you can go back and find it. If you're, if, if you're curious enough, you'll see it. Nice. Yeah. You have to show me later. It was so manual because basically what my process would be, I hear something interesting. I note down the timestamp and I note down the URL of the podcast. I used to use Overcast. So it would just link to the Overcast page. And then. Put in my note taking app, go home. Whenever I feel like publishing, I will take one of those things and then download the MP3, clip out the MP3 and record my intro, outro and then publish it as a, as a podcast. But now Snips, I mean, I can just kind of double click or triple tap.Kevin [00:09:39]: I mean, those are very similar stories to what we hear from our users. You know, it's, it's normal that you're doing, you're doing something else while you're listening to a podcast. Yeah. A lot of our users, they're driving, they're working out, walking their dog. So in those moments when you hear something amazing, it's difficult to just write them down or, you know, you have to take out your phone. Some people take a screenshot, write down a timestamp, and then later on you have to go back and try to find it again. Of course you can't find it anymore because there's no search. There's no command F. And, um, these, these were all of the issues that, that, that we encountered also ourselves as users. And given that our background was in AI, we realized like, wait, hey, this is. This should not be the case. Like podcast apps today, they're still, they're basically repurposed music players, but we actually look at podcasts as one of the largest sources of knowledge in the world. And once you have that different angle of looking at it together with everything that AI is now enabling, you realize like, hey, this is not the way that we, that podcast apps should be. Yeah.swyx [00:10:41]: Yeah. I agree. You mentioned something that you said your background is in AI. Well, first of all, who's the team and what do you mean your background is in AI?Kevin [00:10:48]: Those are two very different things. I'm going to ask some questions. Yeah. Um, maybe starting with, with my backstory. Yeah. My backstory actually goes back, like, let's say 12 years ago or something like that. I moved to Zurich to study at ETH and actually I studied something completely different. I studied mathematics and economics basically with this specialization for quant finance. Same. Okay. Wow. All right. So yeah. And then as you know, all of these mathematical models for, um, asset pricing, derivative pricing, quantitative trading. And for me, the thing that, that fascinates me the most was the mathematical modeling behind it. Uh, mathematics, uh, statistics, but I was never really that passionate about the finance side of things.swyx [00:11:32]: Oh really? Oh, okay. Yeah. I mean, we're different there.Kevin [00:11:36]: I mean, one just, let's say symptom that I noticed now, like, like looking back during that time. Yeah. I think I never read an academic paper about the subject in my free time. And then it was towards the end of my studies. I was already working for a big bank. One of my best friends, he comes to me and says, Hey, I just took this course. You have to, you have to do this. You have to take this lecture. Okay. And I'm like, what, what, what is it about? It's called machine learning and I'm like, what, what, what kind of stupid name is that? Uh, so you sent me the slides and like over a weekend I went through all of the slides and I just, I just knew like freaking hell. Like this is it. I'm, I'm in love. Wow. Yeah. Okay. And that was then over the course of the next, I think like 12 months, I just really got into it. Started reading all about it, like reading blog posts, starting building my own models.swyx [00:12:26]: Was this course by a famous person, famous university? Was it like the Andrew Wayne Coursera thing? No.Kevin [00:12:31]: So this was a ETH course. So a professor at ETH. Did he teach in English by the way? Yeah. Okay.swyx [00:12:37]: So these slides are somewhere available. Yeah. Definitely. I mean, now they're quite outdated. Yeah. Sure. Well, I think, you know, reflecting on the finance thing for a bit. So I, I was, used to be a trader, uh, sell side and buy side. I was options trader first and then I was more like a quantitative hedge fund analyst. We never really use machine learning. It was more like a little bit of statistical modeling, but really like you, you fit, you know, your regression.Kevin [00:13:03]: No, I mean, that's, that's what it is. And, uh, or you, you solve partial differential equations and have then numerical methods to, to, to solve these. That's, that's for you. That's your degree. And that's, that's not really what you do at work. Right. Unless, well, I don't know what you do at work. In my job. No, no, we weren't solving the partial differential. Yeah.swyx [00:13:18]: You learn all this in school and then you don't use it.Kevin [00:13:20]: I mean, we, we, well, let's put it like that. Um, in some things, yeah, I mean, I did code algorithms that would do it, but it was basically like, it was the most basic algorithms and then you just like slightly improve them a little bit. Like you just tweak them here and there. Yeah. It wasn't like starting from scratch, like, Oh, here's this new partial differential equation. How do we know?swyx [00:13:43]: Yeah. Yeah. I mean, that's, that's real life, right? Most, most of it's kind of boring or you're, you're using established things because they're established because, uh, they tackle the most important topics. Um, yeah. Portfolio management was more interesting for me. Um, and, uh, we, we were sort of the first to combine like social data with, with quantitative trading. And I think, uh, I think now it's very common, but, um, yeah. Anyway, then you, you went, you went deep on machine learning and then what? You quit your job? Yeah. Yeah. Wow.Kevin [00:14:12]: I quit my job because, uh, um, I mean, I started using it at the bank as well. Like try, like, you know, I like desperately tried to find any kind of excuse to like use it here or there, but it just was clear to me, like, no, if I want to do this, um, like I just have to like make a real cut. So I quit my job and joined an early stage, uh, tech startup in Zurich where then built up the AI team over five years. Wow. Yeah. So yeah, we built various machine learning, uh, things for, for banks from like models for, for sales teams to identify which clients like which product to sell to them and with what reasons all the way to, we did a lot, a lot with bank transactions. One of the actually most fun projects for me was we had an, an NLP model that would take the booking text of a transaction, like a credit card transaction and pretty fired. Yeah. Because it had all of these, you know, like numbers in there and abbreviations and whatnot. And sometimes you look at it like, what, what is this? And it was just, you know, it would just change it to, I don't know, CVS. Yeah.swyx [00:15:15]: Yeah. But I mean, would you have hallucinations?Kevin [00:15:17]: No, no, no. The way that everything was set up, it wasn't like, it wasn't yet fully end to end generative, uh, neural network as what you would use today. Okay.swyx [00:15:30]: Awesome. And then when did you go like full time on Snips? Yeah.Kevin [00:15:33]: So basically that was, that was afterwards. I mean, how that started was the friend of mine who got me into machine learning, uh, him and I, uh, like he also got me interested into startups. He's had a big impact on my life. And the two of us were just a jam on, on like ideas for startups every now and then. And his background was also in AI data science. And we had a couple of ideas, but given that we were working full times, we were thinking about, uh, so we participated in Hack Zurich. That's, uh, Europe's biggest hackathon, um, or at least was at the time. And we said, Hey, this is just a weekend. Let's just try out an idea, like hack something together and see how it works. And the idea was that we'd be able to search through podcast episodes, like within a podcast. Yeah. So we did that. Long story short, uh, we managed to do it like to build something that we realized, Hey, this actually works. You can, you can find things again in podcasts. We had like a natural language search and we pitched it on stage. And we actually won the hackathon, which was cool. I mean, we, we also, I think we had a good, um, like a good, good pitch or a good example. So we, we used the famous Joe Rogan episode with Elon Musk where Elon Musk smokes a joint. Okay. Um, it's like a two and a half hour episode. So we were on stage and then we just searched for like smoking weed and it would find that exact moment. It will play it. And it just like, come on with Elon Musk, just like smoking. Oh, so it was video as well? No, it was actually completely based on audio. But we did have the video for the presentation. Yeah. Which had a, had of course an amazing effect. Yeah. Like this gave us a lot of activation energy, but it wasn't actually about winning the hackathon. Yeah. But the interesting thing that happened was after we pitched on stage, several of the other participants, like a lot of them came up to us and started saying like, Hey, can I use this? Like I have this issue. And like some also came up and told us about other problems that they have, like very adjacent to this with a podcast. Where's like, like this. Like, could, could I use this for that as well? And that was basically the, the moment where I realized, Hey, it's actually not just us who are having these issues with, with podcasts and getting to the, making the most out of this knowledge. Yeah. The other people. Yeah. That was now, I guess like four years ago or something like that. And then, yeah, we decided to quit our jobs and start, start this whole snip thing. Yeah. How big is the team now? We're just four people. Yeah. Just four people. Yeah. Like four. We're all technical. Yeah. Basically two on the, the backend side. So one of my co-founders is this person who got me into machine learning and startups. And we won the hackathon together. So we have two people for the backend side with the AI and all of the other backend things. And two for the front end side, building the app.swyx [00:18:18]: Which is mostly Android and iOS. Yeah.Kevin [00:18:21]: It's iOS and Android. We also have a watch app for, for Apple, but yeah, it's mostly iOS. Yeah.swyx [00:18:27]: The watch thing, it was very funny because in the, in the Latent Space discord, you know, most of us have been slowly adopting snips. You came to me like a year ago and you introduced snip to me. I was like, I don't know. I'm, you know, I'm very sticky to overcast and then slowly we switch. Why watch?Kevin [00:18:43]: So it goes back to a lot of our users, they do something else while, while listening to a podcast, right? Yeah. And one of the, us giving them the ability to then capture this knowledge, even though they're doing something else at the same time is one of the killer features. Yeah. Maybe I can actually, maybe at some point I should maybe give a bit more of an overview of what the, all of the features that we have. Sure. So this is one of the killer features and for one big use case that people use this for is for running. Yeah. So if you're a big runner, a big jogger or cycling, like really, really cycling competitively and a lot of the people, they don't want to take their phone with them when they go running. So you load everything onto the watch. So you can download episodes. I mean, if you, if you have an Apple watch that has internet access, like with a SIM card, you can also directly stream. That's also possible. Yeah. So of course it's a, it's basically very limited to just listening and snipping. And then you can see all of your snips later on your phone. Let me tell you this error I just got.swyx [00:19:47]: Error playing episode. Substack, the host of this podcast, does not allow this podcast to be played on an Apple watch. Yeah.Kevin [00:19:52]: That's a very beautiful thing. So we found out that all of the podcasts hosted on Substack, you cannot play them on an Apple watch. Why is this restriction? What? Like, don't ask me. We try to reach out to Substack. We try to reach out to some of the bigger podcasters who are hosting the podcast on Substack to also let them know. Substack doesn't seem to care. This is not specific to our app. You can also check out the Apple podcast app. Yeah. It's the same problem. It's just that we actually have identified it. And we tell the user what's going on.swyx [00:20:25]: I would say we host our podcast on Substack, but they're not very serious about their podcasting tools. I've told them before, I've been very upfront with them. So I don't feel like I'm shitting on them in any way. And it's kind of sad because otherwise it's a perfect creative platform. But the way that they treat podcasting as an afterthought, I think it's really disappointing.Kevin [00:20:45]: Maybe given that you mentioned all these features, maybe I can give a bit of a better overview of the features that we have. Let's do that. Let's do that. So I think we're mostly in our minds. Maybe for some of the listeners.swyx [00:20:55]: I mean, I'll tell you my version. Yeah. They can correct me, right? So first of all, I think the main job is for it to be a podcast listening app. It should be basically a complete superset of what you normally get on Overcast or Apple Podcasts or anything like that. You pull your show list from ListenNotes. How do you find shows? You've got to type in anything and you find them, right?Kevin [00:21:18]: Yeah. We have a search engine that is powered by ListenNotes. Yeah. But I mean, in the meantime, we have a huge database of like 99% of all podcasts out there ourselves. Yeah.swyx [00:21:27]: What I noticed, the default experience is you do not auto-download shows. And that's one very big difference for you guys versus other apps, where like, you know, if I'm subscribed to a thing, it auto-downloads and I already have the MP3 downloaded overnight. For me, I have to actively put it onto my queue, then it auto-downloads. And actually, I initially didn't like that. I think I maybe told you that I was like, oh, it's like a feature that I don't like. Like, because it means that I have to choose to listen to it in order to download and not to... It's like opt-in. There's a difference between opt-in and opt-out. So I opt-in to every episode that I listen to. And then, like, you know, you open it and depends on whether or not you have the AI stuff enabled. But the default experience is no AI stuff enabled. You can listen to it. You can see the snips, the number of snips and where people snip during the episode, which roughly correlates to interest level. And obviously, you can snip there. I think that's the default experience. I think snipping is really cool. Like, I use it to share a lot on Discord. I think we have tons and tons of just people sharing snips and stuff. Tweeting stuff is also like a nice, pleasant experience. But like the real features come when you actually turn on the AI stuff. And so the reason I got snipped, because I got fed up with Overcast not implementing any AI features at all. Instead, they spent two years rewriting their app to be a little bit faster. And I'm like, like, it's 2025. I should have a podcast that has transcripts that I can search. Very, very basic thing. Overcast will basically never have it.Kevin [00:22:49]: Yeah, I think that was a good, like, basic overview. Maybe I can add a bit to it with the AI features that we have. So one thing that we do every time a new podcast comes out, we transcribe the episode. We do speaker diarization. We identify the speaker names. Each guest, we extract a mini bio of the guest, try to find a picture of the guest online, add it. We break the podcast down into chapters, as in AI generated chapters. That one. That one's very handy. With a quick description per title and quick description per each chapter. We identify all books that get mentioned on a podcast. You can tell I don't use that one. It depends on the podcast. There are some podcasts where the guests often recommend like an amazing book. So later on, you can you can find that again.swyx [00:23:42]: So you literally search for the word book or I just read blah, blah, blah.Kevin [00:23:46]: No, I mean, it's all LLM based. Yeah. So basically, we have we have an LLM that goes through the entire transcript and identifies if a user mentions a book, then we use perplexity API together with various other LLM orchestration to go out there on the Internet, find everything that there is to know about the book, find the cover, find who or what the author is, get a quick description of it for the author. We then check on which other episodes the author appeared on.swyx [00:24:15]: Yeah, that is killer.Kevin [00:24:17]: Because that for me, if. If there's an interesting book, the first thing I do is I actually listen to a podcast episode with a with a writer because he usually gives a really great overview already on a podcast.swyx [00:24:28]: Sometimes the podcast is with the person as a guest. Sometimes his podcast is about the person without him there. Do you pick up both?Kevin [00:24:37]: So, yes, we pick up both in like our latest models. But actually what we show you in the app, the goal is to currently only show you the guest to separate that. In the future, we want to show the other things more.swyx [00:24:47]: For what it's worth, I don't mind. Yeah, I don't think like if I like if I like somebody, I'll just learn about them regardless of whether they're there or not.Kevin [00:24:55]: Yeah, I mean, yes and no. We we we have seen there are some personalities where this can break down. So, for example, the first version that we released with this feature, it picked up much more often a person, even if it was not a guest. Yeah. For example, the best examples for me is Sam Altman and Elon Musk. Like they're just mentioned on every second podcast and it has like they're not on there. And if you're interested in it, you can go to Elon Musk. And actually like learning from them. Yeah, I see. And yeah, we updated our our algorithms, improved that a lot. And now it's gotten much better to only pick it up if they're a guest. And yeah, so this this is maybe to come back to the features, two more important features like we have the ability to chat with an episode. Yes. Of course, you can do the old style of searching through a transcript with a keyword search. But I think for me, this is this is how you used to do search and extracting knowledge in the in the past. Old school. And the A.I. Web. Way is is basically an LLM. So you can ask the LLM, hey, when do they talk about topic X? If you're interested in only a certain part of the episode, you can ask them for four to give a quick overview of the episode. Key takeaways afterwards also to create a note for you. So this is really like very open, open ended. And yeah. And then finally, the snipping feature that we mentioned just to reiterate. Yeah. I mean, here the the feature is that whenever you hear an amazing idea, you can trip. It's up your headphones or click a button in the app and the A.I. summarizes the insight you just heard and saves that together with the original transcript and audio in your knowledge library. I also noticed that you you skip dynamic content. So dynamic content, we do not skip it automatically. Oh, sorry. You detect. But we detect it. Yeah. I mean, that's one of the thing that most people don't don't actually know that like the way that ads get inserted into podcasts or into most podcasts is actually that every time you listen. To a podcast, you actually get access to a different audio file and on the server, a different ad is inserted into the MP3 file automatically. Yeah. Based on IP. Exactly. And that's what that means is if we transcribe an episode and have a transcript with timestamps like words, word specific timestamps, if you suddenly get a different audio file, like the whole time says I messed up and that's like a huge issue. And for that, we actually had to build another algorithm that would dynamically on the floor. I re sync the audio that you're listening to the transcript that we have. Yeah. Which is a fascinating problem in and of itself.swyx [00:27:24]: You sync by matching up the sound waves? Or like, or do you sync by matching up words like you basically do partial transcription?Kevin [00:27:33]: We are not matching up words. It's happening on the basically a bytes level matching. Yeah. Okay.swyx [00:27:40]: It relies on this. It relies on the exact match at some point.Kevin [00:27:46]: So it's actually. We're actually not doing exact matches, but we're doing fuzzy matches to identify the moment. It's basically, we basically built Shazam for podcasts. Just as a little side project to solve this issue.swyx [00:28:02]: Actually, fun fact, apparently the Shazam algorithm is open. They published the paper, it's talked about it. I haven't really dived into the paper. I thought it was kind of interesting that basically no one else has built Shazam.Kevin [00:28:16]: Yeah, I mean, well, the one thing is the algorithm. If you now talk about Shazam, the other thing is also having the database behind it and having the user mindset that if they have this problem, they come to you, right?swyx [00:28:29]: Yeah, I'm very interested in the tech stack. There's a big data pipeline. Could you share what is the tech stack?Kevin [00:28:35]: What are the most interesting or challenging pieces of it? So the general tech stack is our entire backend is, or 90% of our backend is written in Python. Okay. Hosting everything on Google Cloud Platform. And our front end is written with, well, we're using the Flutter framework. So it's written in Dart and then compiled natively. So we have one code base that handles both Android and iOS. You think that was a good decision? It's something that a lot of people are exploring. So up until now, yes. Okay. Look, it has its pros and cons. Some of the, you know, for example, earlier, I mentioned we have a Apple Watch app. Yeah. I mean, there's no Flutter for that, right? So that you build native. And then of course you have to sort of like sync these things together. I mean, I'm not the front end engineer, so I'm not just relaying this information, but our front end engineers are very happy with it. It's enabled us to be quite fast and be on both platforms from the very beginning. And when I talk with people and they hear that we are using Flutter, usually they think like, ah, it's not performant. It's super junk, janky and everything. And then they use it. They use our app and they're always super surprised. Or if they've already used our app, I couldn't tell them. They're like, what? Yeah. Um, so there is actually a lot that you can do with it.swyx [00:29:51]: The danger, the concern, there's a few concerns, right? One, it's Google. So when were they, when are they going to abandon it? Two, you know, they're optimized for Android first. So iOS is like a second, second thought, or like you can feel that it is not a native iOS app. Uh, but you guys put a lot of care into it. And then maybe three, from my point of view, JavaScript, as a JavaScript guy, React Native was supposed to be there. And I think that it hasn't really fulfilled that dream. Um, maybe Expo is trying to do that, but, um, again, it is not, does not feel as productive as Flutter. And I've, I spent a week on Flutter and dot, and I'm an investor in Flutter flow, which is the local, uh, Flutter, Flutter startup. That's doing very, very well. I think a lot of people are still Flutter skeptics. Yeah. Wait. So are you moving away from Flutter?Kevin [00:30:41]: I don't know. We don't have plans to do that. Yeah.swyx [00:30:43]: You're just saying about that. What? Yeah. Watch out. Okay. Let's go back to the stack.Kevin [00:30:47]: You know, that was just to give you a bit of an overview. I think the more interesting things are, of course, on the AI side. So we, like, as I mentioned earlier, when we started out, it was before chat GPT for the chat GPT moment before there was the GPT 3.5 turbo, uh, API. So in the beginning, we actually were running everything ourselves, open source models, try to fine tune them. They worked. There was us, but let's, let's be honest. They weren't. What was the sort of? Before Whisper, the transcription. Yeah, we were using wave to work like, um, there was a Google one, right? No, it was a Facebook, Facebook one. That was actually one of the papers. Like when that came out for me, that was one of the reasons why I said we, we should try something to start a startup in the audio space. For me, it was a bit like before that I had been following the NLP space, uh, quite closely. And as, as I mentioned earlier, we, we did some stuff at the startup as well, that I was working up. But before, and wave to work was the first paper that I had at least seen where the whole transformer architecture moved over to audio and bit more general way of saying it is like, it was the first time that I saw the transformer architecture being applied to continuous data instead of discrete tokens. Okay. And it worked amazingly. Ah, and like the transformer architecture plus self-supervised learning, like these two things moved over. And then for me, it was like, Hey, this is now going to take off similarly. It's the text space has taken off. And with these two things in place, even if some features that we want to build are not possible yet, they will be possible in the near term, uh, with this, uh, trajectory. So that was a little side, side note. No, it's in the meantime. Yeah. We're using whisper. We're still hosting some of the models ourselves. So for example, the whole transcription speaker diarization pipeline, uh,swyx [00:32:38]: You need it to be as cheap as possible.Kevin [00:32:40]: Yeah, exactly. I mean, we're doing this at scale where we have a lot of audio.swyx [00:32:44]: We're what numbers can you disclose? Like what, what are just to give people an idea because it's a lot. So we have more than a million podcasts that we've already processed when you say a million. So processing is basically, you have some kind of list of podcasts that you will auto process and others where a paying pay member can choose to press the button and transcribe it. Right. Is that the rough idea? Yeah, exactly.Kevin [00:33:08]: Yeah. And if, when you press that button or we also transcribe it. Yeah. So first we do the, we do the transcription. We do the. The, the speaker diarization. So basically you identify speech blocks that belong to the same speaker. This is then all orchestrated within, within LLM to identify which speech speech block belongs to which speaker together with, you know, we identify, as I mentioned earlier, we identify the guest name and the bio. So all of that comes together with an LLM to actually then assign assigned speaker names to, to each block. Yeah. And then most of the rest of the, the pipeline we've now used, we've now migrated to LLM. So we use mainly open AI, Google models, so the Gemini models and the open AI models, and we use some perplexity basically for those things where we need, where we need web search. Yeah. That's something I'm still hoping, especially open AI will also provide us an API. Oh, why? Well, basically for us as a consumer, the more providers there are.swyx [00:34:07]: The more downtime.Kevin [00:34:08]: The more competition and it will lead to better, better results. And, um, lower costs over time. I don't, I don't see perplexity as expensive. If you use the web search, the price is like $5 per a thousand queries. Okay. Which is affordable. But, uh, if you compare that to just a normal LLM call, um, it's, it's, uh, much more expensive. Have you tried Exa? We've, uh, looked into it, but we haven't really tried it. Um, I mean, we, we started with perplexity and, uh, it works, it works well. And if I remember. Correctly, Exa is also a bit more expensive.swyx [00:34:45]: I don't know. I don't know. They seem to focus on the search thing as a search API, whereas perplexity, maybe more consumer-y business that is higher, higher margin. Like I'll put it like perplexity is trying to be a product, Exa is trying to be infrastructure. Yeah. So that, that'll be my distinction there. And then the other thing I will mention is Google has a search grounding feature. Yeah. Which you, which you might want. Yeah.Kevin [00:35:07]: Yeah. We've, uh, we've also tried that out. Um, not as good. So we, we didn't, we didn't go into. Too much detail in like really comparing it, like quality wise, because we actually already had the perplexity one and it, and it's, and it's working. Yeah. Um, I think also there, the price is actually higher than perplexity. Yeah. Really? Yeah.swyx [00:35:26]: Google should cut their prices.Kevin [00:35:29]: Maybe it was the same price. I don't want to say something incorrect, but it wasn't cheaper. It wasn't like compelling. And then, then there was no reason to switch. So, I mean, maybe like in general, like for us, given that we do work with a lot of content, price is actually something that we do look at. Like for us, it's not just about taking the best model for every task, but it's really getting the best, like identifying what kind of intelligence level you need and then getting the best price for that to be able to really scale this and, and provide us, um, yeah, let our users use these features with as many podcasts as possible. Yeah.swyx [00:36:03]: I wanted to double, double click on diarization. Yeah. Uh, it's something that I don't think people do very well. So you know, I'm, I'm a, I'm a B user. I don't have it right now. And, and they were supposed to speak, but they dropped out last minute. Um, but, uh, we've had them on the podcast before and it's not great yet. Do you use just PI Anode, the default stuff, or do you find any tricks for diarization?Kevin [00:36:27]: So we do use the, the open source packages, but we have tweaked it a bit here and there. For example, if you mentioned the BAI guys, I actually listened to the podcast episode was super nice. Thank you. And when you started talking about speaker diarization, and I just have to think about, uh, I don't know.Kevin [00:36:49]: Is it possible? I don't know. I don't know. F**k this. Yeah, no, I don't know.Kevin [00:36:55]: Yeah. We are the best. This is a.swyx [00:37:07]: I don't know. This is the best. I don't know. This is the best. Yeah. Yeah. Yeah. You're doing good.Kevin [00:37:12]: So, so yeah. This is great. This is good. Yeah. No, so that of course helps us. Another thing that helps us is that we know certain structural aspects of the podcast. For example, how often does someone speak? Like if someone, like let's say there's a one hour episode and someone speaks for 30 seconds, that person is most probably not the guest and not the host. It's probably some ad, like some speaker from an ad. So we have like certain of these heuristics that we can use and we leverage to improve things. And in the past, we've also changed the clustering algorithm. So basically how a lot of the speaker diarization works is you basically create an embedding for the speech that's happening. And then you try to somehow cluster these embeddings and then find out this is all one speaker. This is all another speaker. And there we've also tweaked a couple of things where we again used heuristics that we could apply from knowing how podcasts function. And that's also actually why I was feeling so much with the BAI guys, because like all of these heuristics, like for them, it's probably almost impossible to use any heuristics because it can just be any situation, anything.Kevin [00:38:34]: So that's one thing that we do. Yeah, another thing is that we actually combine it with LLM. So the transcript, LLMs and the speaker diarization, like bringing all of these together to recalibrate some of the switching points. Like when does the speaker stop? When does the next one start?swyx [00:38:51]: The LLMs can add errors as well. You know, I wouldn't feel safe using them to be so precise.Kevin [00:38:58]: I mean, at the end of the day, like also just to not give a wrong impression, like the speaker diarization is also not perfect that we're doing, right? I basically don't really notice it.swyx [00:39:08]: Like I use it for search.Kevin [00:39:09]: Yeah, it's not perfect yet, but it's gotten quite good. Like, especially if you compare, if you look at some of the, like if you take a latest episode and you compare it to an episode that came out a year ago, we've improved it quite a bit.swyx [00:39:23]: Well, it's beautifully presented. Oh, I love that I can click on the transcript and it goes to the timestamp. So simple, but you know, it should exist. Yeah, I agree. I agree. So this, I'm loading a two hour episode of Detect Me Right Home, where there's a lot of different guests calling in and you've identified the guest name. And yeah, so these are all LLM based. Yeah, it's really nice.Kevin [00:39:49]: Yeah, like the speaker names.swyx [00:39:50]: I would say that, you know, obviously I'm a power user of all these tools. You have done a better job than Descript. Okay, wow. Descript is so much funding. They had their open AI invested in them and they still suck. So I don't know, like, you know, keep going. You're doing great. Yeah, thanks. Thanks.Kevin [00:40:12]: I mean, I would, I would say that, especially for anyone listening who's interested in building a consumer app with AI, I think the, like, especially if your background is in AI and you love working with AI and doing all of that, I think the most important thing is just to keep reminding yourself of what's actually the job to be done here. Like, what does actually the consumer want? Like, for example, you now were just delighted by the ability to click on this word and it jumps there. Yeah. Like, this is not, this is not rocket science. This is, like, you don't have to be, like, I don't know, Android Kapathi to come up with that and build that, right? And I think that's, that's something that's super important to keep in mind.swyx [00:40:52]: Yeah, yeah. Amazing. I mean, there's so many features, right? It's, it's so packed. There's quotes that you pick up. There's summarization. Oh, by the way, I'm going to use this as my official feature request. I want to customize what, how it's summarized. I want to, I want to have a custom prompt. Yeah. Because your summarization is good, but, you know, I have different preferences, right? Like, you know.Kevin [00:41:14]: So one thing that you can already do today, I completely get your feature request. And I think it just.swyx [00:41:18]: I'm sure people have asked it.Kevin [00:41:19]: I mean, maybe just in general as a, as a, how I see the future, you know, like in the future, I think all, everything will be personalized. Yeah, yeah. Like, not, this is not specific to us. Yeah. And today we're still in a, in a phase where the cost of LLMs, at least if you're working with, like, such long context windows. As us, I mean, there's a lot of tokens in, if you take an entire podcast, so you still have to take that cost into consideration. So if for every single user, we regenerate it entirely, it gets expensive. But in the future, this, you know, cost will continue to go down and then it will just be personalized. So that being said, you can already today, if you go to the player screen. Okay. And open up the chat. Yeah. You can go to the, to the chat. Yes. And just ask for a summary in your style.swyx [00:42:13]: Yeah. Okay. I mean, I, I listen to consume, you know? Yeah. Yeah. I, I've never really used this feature. I don't know. I think that's, that's me being a slow adopter. No, no. I mean, that's. It has, when does the conversation start? Okay.Kevin [00:42:26]: I mean, you can just type anything. I think what you're, what you're describing, I mean, maybe that is also an interesting topic to talk about. Yes. Where, like, basically I told you, like, look, we have this chat. You can just ask for it. Yeah. And this is, this is how ChatGPT works today. But if you're building a consumer app, you have to move beyond the chat box. People do not want to always type out what they want. So your feature request was, even though theoretically it's already possible, what you are actually asking for is, hey, I just want to open up the app and it should just be there in a nicely formatted way. Beautiful way such that I can read it or consume it without any issues. Interesting. And I think that's in general where a lot of the, the. Opportunities lie currently in the market. If you want to build a consumer app, taking the capability and the intelligence, but finding out what the actual user interface is the best way how a user can engage with this intelligence in a natural way.swyx [00:43:24]: Is this something I've been thinking about as kind of like AI that's not in your face? Because right now, you know, we like to say like, oh, use Notion has Notion AI. And we have the little thing there. And there's, or like some other. Any other platform has like the sparkle magic wand emoji, like that's our AI feature. Use this. And it's like really in your face. A lot of people don't like it. You know, it should just kind of become invisible, kind of like an invisible AI.Kevin [00:43:49]: 100%. I mean, the, the way I see it as AI is, is the electricity of, of the future. And like no one, like, like we don't talk about, I don't know, this, this microphone uses electricity, this phone, you don't think about it that way. It's just in there, right? It's not an electricity enabled product. No, it's just a product. Yeah. It will be the same with AI. I mean, now. It's still a, something that you use to market your product. I mean, we do, we do the same, right? Because it's still something that people realize, ah, they're doing something new, but at some point, no, it'll just be a podcast app and it will be normal that it has all of this AI in there.swyx [00:44:24]: I noticed you do something interesting in your chat where you source the timestamps. Yeah. Is that part of this prompt? Is there a separate pipeline that adds source sources?Kevin [00:44:33]: This is, uh, actually part of the prompt. Um, so this is all prompt engine. Engineering, um, uh, you should be able to click on it. Yeah, I clicked on it. Um, this is all prompt engineering with how to provide the, the context, you know, we, because we provide all of the transcript, how to provide the context and then, yeah, I get them all to respond in a correct way with a certain format and then rendering that on the front end. This is one of the examples where I would say it's so easy to create like a quick demo of this. I mean, you can just go to chat to be deep, paste this thing in and say like, yeah, do this. Okay. Like 15 minutes and you're done. Yeah. But getting this to like then production level that it actually works 99% of the time. Okay. This is then where, where the difference lies. Yeah. So, um, for this specific feature, like we actually also have like countless regexes that they're just there to correct certain things that the LLM is doing because it doesn't always adhere to the format correctly. And then it looks super ugly on the front end. So yeah, we have certain regexes that correct that. And maybe you'd ask like, why don't you use an LLM for that? Because that's sort of the, again, the AI native way, like who uses regexes anymore. But with the chat for user experience, it's very important that you have the streaming because otherwise you need to wait so long until your message has arrived. So we're streaming live the, like, just like ChatGPT, right? You get the answer and it's streaming the text. So if you're streaming the text and something is like incorrect. It's currently not easy to just like pipe, like stream this into another stream, stream this into another stream and get the stream back, which corrects it, that would be amazing. I don't know, maybe you can answer that. Do you know of any?swyx [00:46:19]: There's no API that does this. Yeah. Like you cannot stream in. If you own the models, you can, uh, you know, whatever token sequence has, has been emitted, start loading that into the next one. If you fully own the models, uh, I don't, it's probably not worth it. That's what you do. It's better. Yeah. I think. Yeah. Most engineers who are new to AI research and benchmarking actually don't know how much regexing there is that goes on in normal benchmarks. It's just like this ugly list of like a hundred different, you know, matches for some criteria that you're looking for. No, it's very cool. I think it's, it's, it's an example of like real world engineering. Yeah. Do you have a tooling that you're proud of that you've developed for yourself?Kevin [00:47:02]: Is it just a test script or is it, you know? I think it's a bit more, I guess the term that has come up is, uh, vibe coding, uh, vibe coding, some, no, sorry, that's actually something else in this case, but, uh, no, no, yes, um, vibe evals was a term that in one of the talks actually on, on, um, I think it might've been the first, the first or the first day at the conference, someone brought that up. Yeah. Uh, because yeah, a lot of the talks were about evals, right. Which is so important. And yeah, I think for us, it's a bit more vibe. Evals, you know, that's also part of, you know, being a startup, we can take risks, like we can take the cost of maybe sometimes it failing a little bit or being a little bit off and our users know that and they appreciate that in return, like we're moving fast and iterating and building, building amazing things, but you know, a Spotify or something like that, half of our features will probably be in a six month review through legal or I don't know what, uh, before they could sell them out.swyx [00:48:04]: Let's just say Spotify is not very good at podcasting. Um, I have a documented, uh, dislike for, for their podcast features, just overall, really, really well integrated any other like sort of LLM focused engineering challenges or problems that you, that you want to highlight.Kevin [00:48:20]: I think it's not unique to us, but it goes again in the direction of handling the uncertainty of LLMs. So for example, with last year, at the end of the year, we did sort of a snipped wrapped. And one of the things we thought it would be fun to, just to do something with, uh, with an LLM and something with the snips that, that a user has. And, uh, three, let's say unique LLM features were that we assigned a personality to you based on the, the snips that, that you have. It was, I mean, it was just all, I guess, a bit of a fun, playful way. I'm going to look up mine. I forgot mine already.swyx [00:48:57]: Um, yeah, I don't know whether it's actually still in the, in the, we all took screenshots of it.Kevin [00:49:01]: Ah, we posted it in the, in the discord. And the, the second one, it was, uh, we had a learning scorecard where we identified the topics that you snipped on the most, and you got like a little score for that. And the third one was a, a quote that stood out. And the quote is actually a very good example of where we would run that for user. And most of the time it was an interesting quote, but every now and then it was like a super boring quotes that you think like, like how, like, why did you select that? Like, come on for there. The solution was actually just to say, Hey, give me five. So it extracted five quotes as a candidate, and then we piped it into a different model as a judge, LLM as a judge, and there we use a, um, a much better model because with the, the initial model, again, as, as I mentioned also earlier, we do have to look at the, like the, the costs because it's like, we have so much text that goes into it. So we, there we use a bit more cheaper model, but then the judge can be like a really good model to then just choose one out of five. This is a practical example.swyx [00:50:03]: I can't find it. Bad search in discord. Yeah. Um, so, so you do recommend having a much smarter model as a judge, uh, and that works for you. Yeah. Yeah. Interesting. I think this year I'm very interested in LM as a judge being more developed as a concept, I think for things like, you know, snips, raps, like it's, it's fine. Like, you know, it's, it's, it's, it's entertaining. There's no right answer.Kevin [00:50:29]: I mean, we also have it. Um, we also use the same concept for our books feature where we identify the, the mention. Books. Yeah. Because there it's the same thing, like 90% of the time it, it works perfectly out of the box one shot and every now and then it just, uh, starts identifying books that were not really mentioned or that are not books or made, yeah, starting to make up books. And, uh, they are basically, we have the same thing of like another LLM challenging it. Um, yeah. And actually with the speakers, we do the same now that I think about it. Yeah. Um, so I'm, I think it's a, it's a great technique. Interesting.swyx [00:51:05]: You run a lot of calls.Kevin [00:51:07]: Yeah.swyx [00:51:08]: Okay. You know, you mentioned costs. You move from self hosting a lot of models to the, to the, you know, big lab models, open AI, uh, and Google, uh, non-topic.Kevin [00:51:18]: Um, no, we love Claude. Like in my opinion, Claude is the, the best one when it comes to the way it formulates things. The personality. Yeah. The personality. Okay. I actually really love it. But yeah, the cost is. It's still high.swyx [00:51:36]: So you cannot, you tried Haiku, but you're, you're like, you have to have Sonnet.Kevin [00:51:40]: Uh, like basically we like with Haiku, we haven't experimented too much. We obviously work a lot with 3.5 Sonnet. Uh, also, you know, coding. Yeah. For coding, like in cursor, just in general, also brainstorming. We use it a lot. Um, I think it's a great brainstorm partner, but yeah, with, uh, with, with a lot of things that we've done done, we opted for different models.swyx [00:52:00]: What I'm trying to drive at is how much cheaper can you get if you go from cloud to cloud? Closed models to open models. And maybe it's like 0% cheaper, maybe it's 5% cheaper, or maybe it's like 50% cheaper. Do you have a sense?Kevin [00:52:13]: It's very difficult to, to judge that. I don't really have a sense, but I can, I can give you a couple of thoughts that have gone through our minds over the time, because obviously we do realize like, given that we, we have a couple of tasks where there are just so many tokens going in, um, at some point it will make sense to, to offload some of that. Uh, to an open source model, but going back to like, we're, we're a startup, right? Like we're not an AI lab or whatever, like for us, actually the most important thing is to iterate fast because we need to learn from our users, improve that. And yeah, just this velocity of this, these iterations. And for that, the closed models hosted by open AI, Google is, uh, and swapping, they're just unbeatable because you just, it's just an API call. Yeah. Um, so you don't need to worry about. Yeah. So much complexity behind that. So this is, I would say the biggest reason why we're not doing more in this space, but there are other thoughts, uh, also for the future. Like I see two different, like we basically have two different usage patterns of LLMs where one is this, this pre-processing of a podcast episode, like this initial processing, like the transcription, speaker diarization, chapterization. We do that once. And this, this usage pattern it's, it's quite predictable. Because we know how many podcasts get released when, um, so we can sort of have a certain capacity and we can, we, we're running that 24 seven, it's one big queue running 24 seven.swyx [00:53:44]: What's the queue job runner? Uh, is it a Django, just like the Python one?Kevin [00:53:49]: No, that, that's just our own, like our database and the backend talking to the database, picking up jobs, finding it back. I'm just curious in orchestration and queues. I mean, we, we of course have like, uh, a lot of other orchestration where we're, we're, where we use, uh, the Google pub sub, uh, thing, but okay. So we have this, this, this usage pattern of like very predictable, uh, usage, and we can max out the, the usage. And then there's this other pattern where it's, for example, the snippet where it's like a user, it's a user action that triggers an LLM call and it has to be real time. And there can be moments where it's by usage and there can be moments when there's very little usage for that. There. So that's, that's basically where these LLM API calls are just perfect because you don't need to worry about scaling this up, scaling this down, um, handling, handling these issues. Serverless versus serverful.swyx [00:54:44]: Yeah, exactly. Okay.Kevin [00:54:45]: Like I see them a bit, like I see open AI and all of these other providers, I see them a bit as the, like as the Amazon, sorry, AWS of, of AI. So it's a bit similar how like back before AWS, you would have to have your, your servers and buy new servers or get rid of servers. And then with AWS, it just became so much easier to just ramp stuff up and down. Yeah. And this is like the taking it even, even, uh, to the next level for AI. Yeah.swyx [00:55:18]: I am a big believer in this. Basically it's, you know, intelligence on demand. Yeah. We're probably not using it enough in our daily lives to do things. I should, we should be able to spin up a hundred things at once and go through things and then, you know, stop. And I feel like we're still trying to figure out how to use LLMs in our lives effectively. Yeah. Yeah.Kevin [00:55:38]: 100%. I think that goes back to the whole, like that, that's for me where the big opportunity is for, if you want to do a startup, um, it's not about, but you can let the big labs handleswyx [00:55:48]: the challenge of more intelligence, but, um, it's the... Existing intelligence. How do you integrate? How do you actually incorporate it into your life? AI engineering. Okay, cool. Cool. Cool. Cool. Um, the one, one other thing I wanted to touch on was multimodality in frontier models. Dwarcash had a interesting application of Gemini recently where he just fed raw audio in and got diarized transcription out or timestamps out. And I think that will come. So basically what we're saying here is another wave of transformers eating things because right now models are pretty much single modality things. You know, you have whisper, you have a pipeline and everything. Yeah. You can't just say, Oh, no, no, no, we only fit like the raw, the raw files. Do you think that will be realistic for you? I 100% agree. Okay.Kevin [00:56:38]: Basically everything that we talked about earlier with like the speaker diarization and heuristics and everything, I completely agree. Like in the, in the future that would just be put everything into a big multimodal LLM. Okay. And it will output, uh, everything that you want. Yeah. So I've also experimented with that. Like just... With, with Gemini 2? With Gemini 2.0 Flash. Yeah. Just for fun. Yeah. Yeah. Because the big difference right now is still like the cost difference of doing speaker diarization this way or doing transcription this way is a huge difference to the pipeline that we've built up. Huh. Okay.swyx [00:57:15]: I need to figure out what, what that cost is because in my mind 2.0 Flash is so cheap. Yeah. But maybe not cheap enough for you.Kevin [00:57:23]: Uh, no, I mean, if you compare it to, yeah, whisper and speaker diarization and especially self-hosting it and... Yeah. Yeah. Yeah.swyx [00:57:30]: Yeah.Kevin [00:57:30]: Okay. But we will get there, right? Like this is just a question of time.swyx [00:57:33]: And, um, at some point, as soon as that happens, we'll be the first ones to switch. Yeah. Awesome. Anything else that you're like sort of eyeing on the horizon as like, we are thinking about this feature, we're thinking about incorporating this new functionality of AI into our, into our app? Yeah.Kevin [00:57:50]: I mean, we, there's so many areas that we're thinking about, like our challenge is a bit more... Choosing. Yeah. Choosing. Yeah. So, I mean, I think for me, like looking into like the next couple of years, like the big areas that interest us a lot, basically four areas, like one is content. Um, right now it's, it's podcasts. I mean, you did mention, I think you mentioned like you can also upload audio books and YouTube videos. YouTube. I actually use the YouTube one a fair amount. But in the future, we, we want to also have audio books natively in the app. And, uh, we want to enable AI generated content. Like just think of, take deep research and notebook analysis. Like put these together. That should be, that should be in our app. The second area is discovery. I think in general. Yeah.swyx [00:58:38]: I noticed that you don't have, so you

Doháníme česko-slovenskou scénu.  Probereme nové desky - Čáry života, Ventolin a post-hudba. K tomu novinky od lidí jako SIMILIVINLIFE, Anki a Black Tar Jesus. Reflektor svítí od osmi hodin z Radio 1. 

Česko-vietnamský rapper Anki je jedním z výrazných talentů současné domácí alternativní rapové scény. Jasným důkazem o tom je, že jeho loňské album s anglickým názvem I WANT TO FEEL SAFE získalo nominaci na ceny Apollo i Anděl a začátkem března získalo cenu Vinyla za album roku 2024. O nesnadné cestě ke svému úspěchu Anki hovořil v dalším On Air, kde zmínil i své první náharávky, do nichž ještě rapoval ve vietnamštině, ačkoliv za svůj primární jazyk považuje češtinu. Zmínil také hořké osobní zkušenosti, které se do jeho textů promítly, ovšem ty jsou podle jeho názoru univerzální bez ohledu na to, odkud kdo pochází a jaké má kořeny. ON AIR je talk show hudebního publicisty Pavla Kučery s hudebníky a lidmi z hudební branže. Nový díl je uveřejněn každý týden na YouTube kanálu kytary.cz.

- Oczywiście decyduje o tym niezawisły sąd, ale są trzy najważniejsze przesłanki, w przypadku których prokuratura wnioskuje o areszt. To mataczenie, zagrożenie popełnionego czynu wysoką karą i ryzyko ucieczki. Te wszystkie przesłanki występują - podkreślił w "Rozmowie Polskiego Radia 24" senator KO Krzysztof Kwiatkowski. 

Det finns många åsikter och känslor kopplat till tester i rekrytering. Okunskapen är stor och självutnämnda experter driver på missuppfattningarna. Anki blev så upprörd en dag på kontoret att hon och Josefin var tvungna att göra ett avsnitt som handlar om "vad är alternativet?!". :)

Zapraszamy do zapisywania się na newsletter "Stanu Wyjątkowego". Co tydzień zwracamy Państwa uwagę na kluczowe wydarzenia oraz polecamy interesujące teksty. Zapisać można się tu: https://wiadomosci.onet.pl/tylko-w-onecie/newsletter-stan-wyjatkowy-zapisz-sie-na-nasz-nowy-newsletter/q7dq8jv   Prezydent Polski Andrzej Duda został przez Donalda Trumpa upokorzony. A prezydent Ukrainy został publicznie zbesztany, a następnie wyrzucony z Białego Domu. Te dwie sytuacje z mijającego tygodnia pokazują, że polscy politycy nie mają żadnego wpływu na działania nowej administracji amerykańskiej. Bo gdyby mieli, to Duda byłby przyjmowany w Białym Domu co najmniej niczym prezydent Francji czy premier Wielkiej Brytanii — czyli godnie. A Zełenski zostałby zapewne obsobaczony, ale za zamkniętymi drzwiami Gabinetu Owalnego — co miałoby zupełnie inne reperkusje polityczne. Ameryka i Ukraina to dwa strategiczne z punktu widzenia Polski państwa. Dlatego każde otwarte starcie Trumpa z Zełenskim jest z naszego punktu widzenia niekorzystne, za to wywołuje radość na Kremlu. To że obecna władza nie jest zbyt mile widziana w Waszyngtonie — to logiczne, bo politycy koalicji nie kryją niechęci wobec Trumpa i są przekonani o jego powiązaniach z Putinem. Nas bardziej zadziwiają politycy PiS, którzy przed amerykańskimi wyborami jesienią zeszłego roku zainwestowali całą swą energię w popieranie Trumpa, a dziś są traktowani niczym popychla. To przesłanie szczególnie dedykujemy panu prezydentowi, choć pisowców szukających argumentów na obronę negocjacji Trumpa z Putinem ponad głowami Ukraińców nie brakuje. Popieracie negocjacje swego idola z — jak twierdzicie — mordercą Lecha Kaczyńskiego?  

Välkomna tillbaka till en ny säsong av Ståpäls! I det första avsnittet för säsongen är det Lucas som är först ut. Han berättar om Arbogakvinnan, Johanna Möller och Mohammad Rajabi som utreddes och senare dömdes för mord och mordförsök på Johannas föräldrar, Anki och Göran Möller i deras sommarstuga i Granliden, Arboga den 3 augusti år 2016. Ett år tidigare den 7 augusti drunknade Johannas ex-make Aki Paasila vid samma sommarstuga. Ett fall som i och med mordet och mordförsöket på föräldrarna fick polisen att återuppta förundersökningen om vad som egentligen hände den kvällen. Har ni tips på ämnen eller olika fall ni vill att vi tar upp får ni mer än gärna kontakta oss på stapalspodcast@gmail.com eller på Instagram via Stapalspodcast eller via lucasternestal och utt3rclou. Glöm inte att prenumerera på podden så ni får notiser om när nya avsnitt läggs ut och ge oss gärna betyg! Hosted on Acast. See acast.com/privacy for more information.

Video: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠https://mehlmanmedical.com/brand-new-hy-pdf-subject-anki-cards-are-here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠IG: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/mehlman_medical/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Telegram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://mehlmanmedical.com/subscribe/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠FB: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/mehlmanmedical⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/mehlmanmedical⁠⁠

The First Principles of Shock: Join us as we break down the essentials, covering everything from the causes and symptoms, to the latest management strategies. We go through all of the shocking details as well as a case example of a patient in shock, and how to manage it.1PM Notion: Shock=== Other Links ===Check out our new website⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠1pm.wiki⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Notion document⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, free Anki flashcards, and podcast episodes.Check out our Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/firstprinciplesofmedicine/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Recorded 30 June, 2023. Host: Jason D'Silva. Guests: ⁠JT Yeung⁠, Nic Ellison, & Jay Cheyurr. Produced by ⁠⁠⁠⁠Pete Magill.If you have any ideas or feedback, comment on this Notion document, or shoot us an email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hello@1pm.wiki⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠***We're really excited to be collaborating with Becky from Becky's notes, a UK based resource, to produce infographics for our visual learners out there. Becky's notes brings together all the key topics medical students need to know in a readily available place, reviewed by specialists in the field. These visually striking notes are a refreshing change from all the boring textbooks.You can check her out on Instagram at ⁠⁠⁠⁠@beckysnotes01⁠⁠⁠ ⁠and get her books at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/Beckysnotes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠© First Principles of Medicine 2024

The First Principles of Shock (Summary): a 5 minute summary covering the causes, symptoms, types, and management of shock.⁠1PM Notion: Shock⁠=== Other Links ===Check out our new website⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠1pm.wiki⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Notion document⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, free Anki flashcards, and podcast episodes.Check out our Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/firstprinciplesofmedicine/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Recorded 30 June, 2023. Host: Jason D'Silva. Guests: ⁠⁠JT Yeung⁠⁠, Nic Ellison, & Jay Cheyurr. Produced by ⁠⁠⁠⁠Pete Magill.If you have any ideas or feedback, comment on this Notion document, or shoot us an email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hello@1pm.wiki⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠***We're really excited to be collaborating with Becky from Becky's notes, a UK based resource, to produce infographics for our visual learners out there. Becky's notes brings together all the key topics medical students need to know in a readily available place, reviewed by specialists in the field. These visually striking notes are a refreshing change from all the boring textbooks.You can check her out on Instagram at ⁠⁠⁠⁠⁠@beckysnotes01⁠⁠⁠⁠ ⁠and get her books at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/Beckysnotes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠© First Principles of Medicine 2024

Anki? Lecture notes? Study groups? Med students spill the truth about what actually works. First semester of med school is like eating a never-ending stack of pancakes—it's fast, overwhelming, and it doesn't care if you're full. Listener G asked us for some tips, and in this episode, M1s Zach Grissom, Megan Perry, Jay Miller, and Srishti Mathur take us through the rough transition from undergrad to medical school and what they wish they knew before starting. From study methods that failed (Anki obsession, passive learning) to strategies that actually worked (active recall, selective focus, study groups), they share what helped them survive. Burnout hits hard, and everyone here felt it–the mental exhaustion, learning to take breaks, and the power of peer support. Plus, the surprising truth about exams—sometimes failing is the best teacher. they also tackle balancing med school with real life: keeping hobbies, staying social, and even reading trashy novels. Finally, an improv game throws the med students into hilarious situations. Listen for our unfiltered med school survival tips, study hacks, and some much-needed laughs!

Wiceszef BBN: Nie powinno to się odbywać bez Ukrainy, są przesłanki, że będzie przy stole

In this episode, Mike and Molly dive deep into the world of Anki and explore how you can use this powerful tool to boost your MCAT prep without wasting time. Whether you're new to Anki or looking to optimize your current study routine, our hosts break down everything you need to know—from understanding the basics to fine-tuning your daily review habits. Want to learn more? Shoot us a text at 415-855-4435 or email us at podcast@jackwestin.com!

Tema del dia Després d'aprendre les preposicions, la Sílvia sovint fa un exercici amb els seus alumnes en què ells han de fer un dibuix seguint les seves indicacions. Avui li toca a l'Andreu dibuixar. Quin serà el resultat? Ho podeu veure aquí sota: Dibuix original (https://drive.google.com/file/d/1QWD8CFcBVnLbVqIgzg7QS3iNhYAHO83z/view?usp=drive_link) Dibuix de l'Andreu (https://drive.google.com/file/d/1vG8P5A9u2oqiE6Z2j1LFTt4OyAABPSDK/view?usp=drive_link) Bonus I ara és el torn de la Sílvia! Què haurà de dibuixar? Esbrina-ho fent-te membre de la subscripció de pòdcast! (https://easycatalan.org/membership) Transcripció Andreu: [0:15] Bon dia, Sílvia! Sílvia: [0:17] Bon dia, Andreu! Andreu: [0:18] Com va, això? Sílvia: [0:19] Molt bé! Ahir vaig fer un tàndem, no sé si ho saps, faig tàndem, amb un noi que es diu Christian, i em va explicar que ja ha fet la transició cap a la nova plataforma… Andreu: [0:32] Ah, és membre de la comunitat. Sílvia: [0:34] Sí, és membre de la comunitat i ha fet la transició cap a la nova web i m'ha dit que li encanta, que és molt xulo, perquè està tot allà ben posadet, tot molt bonic, i que ara ha vist que fem aquestes llistes de vocabulari dels vídeos. Andreu: [0:52] Sí, i del pòdcast també. Sílvia: [0:54] I del pòdcast, exacte, sí. I s'ha proposat agafar aquestes llistes de vocabulari que fem i aprendre el vocabulari. I llavors li vaig dir a veure com ho fa per estudiar, o sigui, per aprendre aquest nou vocabulari, i em va dir que agafa aquestes paraules, les posa en el xat d'aquesta intel·ligència artificial, o sigui, per exemple… Andreu: [1:18] El XatGepet. Sílvia: [1:18] El XatGepet, sí. I li diu que li faci, amb aquestes paraules, frases de nivell avançat. I aquestes frases les agafa i les posa en un Anki i llavors s'aprèn les targetes Anki, s'aprèn aquestes frases, per introduir aquest vocabulari en els seus recursos. [Carai.] Sí, em va semblar molt fort. Andreu: [1:46] Carai, hosti, quina currada. Doncs, molt bé. Bé, m'alegro, primer, que la comunitat serveixi també per crear tàndems, no? Que sorgeixin tàndems lingüístics. Sílvia: [1:57] Ai, sí! És que va ser, literalment, no sé si no te'n recordes, però… perquè jo sempre he fet tàndems, i llavors, per una sèrie de circumstàncies, doncs, la gent va i ve, no? Llavors, hi ha una temporada que fas tàndem amb algú, passa alguna cosa, sigui el que sigui, i llavors deixes de fer tàndem. I em vaig quedar sense tàndem i vaig pensar: "Per què he d'anar a un altre lloc a buscar tàndem si potser hi ha algú de la comunitat que vol fer tàndem alemany-català?" I vaig escriure: "Algú vol fer tàndem amb mi alemany-català?", i llavors hi va haver una persona que va contestar i des de llavors que estem fent tàndem. Andreu: [2:29] Bé, doncs això, si els membres de la comunitat estan escoltant aquest episodi, sapigueu que també podeu fer això, no? Si algú de vosaltres aprèn una llengua i hi ha una altra persona que és nativa d'aquella llengua, doncs podeu buscar això, fer tàndem, no?, fer intercanvi lingüístic a part del català. Vull dir, aquesta comunitat pot servir per altres coses, no només per practicar el català. Exacte, és molt poliglota. D'acord, i bé, i llavors m'alegro també que el Christian, en aquest cas, faci ús de les llistes de vocabulari, que és una cosa que preparem, diguéssim, manualment, no? És una feina… Sílvia: [3:05] Sí, és molta feina, sí. Andreu: [3:08] Que fem nosaltres després, durant la postproducció dels vídeos i del pòdcast, preparem aquestes llistes, que llavors les pots incorporar a l'aplicació Anki o a l'aplicació Flashcards. Hi ha una aplicació que es diu Flashcards, directament, que me l'han recomanat. No l'he provat encara, però la Marianne, del curs de C1, fa servir aquesta i diu que li va molt bé. Sílvia: [3:30] Jo sempre en vaig faig servir una que es diu Quizlet, però… perquè fa molts anys que la vaig fer servir i ja estic acostumada, però tothom diu que Anki va molt bé. Andreu: [3:38] Jo vaig fer servir Anki durant una temporada, però després ho vaig deixar. Sílvia: [3:43] Doncs si voleu entrar a la comunitat i veure aquestes llistes de vocabulari només heu d'entrar a easycatalan.org/membership. Fes-te membre de la subscripció de pòdcast per accedir a les transcripcions completes, a la reproducció interactiva amb Transcript Player i a l'ajuda de vocabulari. (http://easycatalan.org/membership)

Anki intervjuar här Fredrik Östgren, grundare av Hubert, om AI i rekryteringsprocessen. Vilka trender ser han utanför Sverige? Hur använder man bäst AI i rekryteringsprocessen? Vad kommer hända framåt?

Download our Anki flashcards here:

Today I chat with Noah, a missionary who began self-studying Japanese two years before landing in Japan in early '24. He promptly passed the JLPT N2, and is awaiting his results from taking N1 in December. Noah shares what worked for him, a surprisingly cheap and time efficient system that most missionaries (or any Japanese learners) could benefit from! Noah's suggested resources: Tofugu's resource page: https://www.tofugu.com/japanese-learn... Genki Textbook:   / 791506.genki_i   Minna No Nihongo textbook: https://www.goodreads.com/book/show/1... Jyoukyuu he no Tobira: https://tobiraweb.9640.jp/ A Dictionary of Intermediate Japanese Grammar: https://www.goodreads.com/book/show/9... Shin Kanzen Master Series: https://www.amazon.com/s?k=kanzen+mas... Anki flashcards (better on phone): https://ankiweb.net/shared/decks?sear... WaniKani: https://www.wanikani.com/ Podcasts for learning Japanese: Haru no Nihongo Learn Japanese With Noriko Yuyu no Nihongo

Summary In this episode of VetaHumanz Live, host Victoria Menendez engages with Nailah Smith, a veterinary student, discussing her journey through veterinary education, study strategies, and personal interests. Nailah shares her experiences with group studying, balancing academics with hobbies like taekwondo, and her insights into veterinary specialties, particularly dentistry. The conversation also touches on the importance of self-care and managing burnout as a student.Keywords  VetaHumanz, veterinary medicine, study strategies, personal care, academic challenges, veterinary education, taekwondo, group study, emergency medicine, burnout preventionTakeawaysGroup studying helps maintain motivation and focus.Practicing skills regularly builds confidence.Balancing hobbies with studies can alleviate stress.Understanding veterinary specialties is crucial for career choices.Using effective study techniques like Anki enhances learning.Venting and physical activity are key to managing stress.Engaging in personal interests can provide a necessary break.Learning about animal dentistry is fascinating and rewarding.Experiencing hands-on labs enhances practical skills.Setting clear goals helps navigate academic challenges.Chapters00:00    Introduction to the Journey02:44    Study Strategies and Challenges05:05    Personal Growth and Hobbies07:57    Learning Experiences in Veterinary Medicine10:28    Future Goals and Encouragement

Привет! Let's talk about our favourite months and review vocabulary on the topic "Weather". Get the transcript with extra practice, Anki flashcards and much more: ⁠⁠HERE⁠⁠ Learn about the New Year in Russia with free Advent event. Join as a free member and get the first task on December 1: ⁠https://www.patreon.com/c/prostorussian⁠ My Telegram channel: ⁠⁠⁠⁠https://t.me/+QIrA_iW0DQU1MzRi

Summary In this episode of VetaHumanz Live, host Victory Knight and guest Nailah Smith (AKA Celestial Seraph) discuss the challenges and triumphs of veterinary school, including updates on Nailah's journey, her experiences with difficult subjects like physiology, and her favorite class, anatomy. They also touch on personal interests, self-care practices, and the importance of networking for future specialization. Nailah shares her goals for the upcoming month and offers valuable advice for fellow veterinary students.Keywords Veterinary Medicine, VetaHumanz, Physiology, Anatomy, Veterinary School, Student Life, Specialization, Self-Care, Study Techniques, NetworkingTakeawaysNailah is currently in week 13 of veterinary school.She is preparing for her red belt testing in Taekwondo.Physiology has been a challenging subject for her this month.Nailah uses Anki for studying and has improved her study habits.Anatomy remains her favorite class, and she actively engages in lab work.She enjoys leisure reading and watching shows to unwind.Nailah emphasizes the importance of self-care and maintaining fitness.Networking is crucial for her specialization goals in veterinary medicine.She acknowledges her weaknesses and seeks help when needed.Nailah believes effort and understanding the basics are key to success.Chapters00:00  Introduction and Updates on Vet School Journey03:05  Challenges in Physiology and Study Strategies05:56  Anatomy Class Insights and Study Techniques08:56  Personal Interests and Self-Care Practices11:52    Goals for the Future and Networking Wins14:31    Advice for Veterinary Students

In this episode of Crazy Wisdom, Stewart Alsop hosts ~littel-wolfur to explore spaced repetition, the dynamics of learning algorithms, and the philosophy behind Urbit. They break down Urbit's promise as a peer-to-peer platform with roots in a deep, almost otherworldly commitment to resilience and a long time horizon. Alongside ~littel-wolfur's take on memory as the strange balance of laziness and persistence, they dig into shrubbery, Urbit's latest namespace innovation, and the challenge of creating tools that last. From generational shifts to the philosophy of technology, Stewart and ~littel-wolfur contemplate whether Urbit's rebellious craftsmanship might be the foundation for a more enduring internet. You can connect with ~littel-wolfur on Twitter.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:22 Understanding Spaced Repetition01:39 Personal Experiences with Spaced Repetition04:08 Challenges in Spaced Repetition Software06:45 Building a Flashcard App on Urbit09:03 Introduction to Shrubbery on Urbit13:26 The State of Urbit and Its Future22:01 The Long-Term Vision of Urbit and Bitcoin28:37 Balancing Internet Time with Parenthood29:37 Challenges of Urbit's Ease of Use30:22 New Blood in the Urbit Community31:15 Building Communities on Urbit32:38 Twitter's Complexities and Elon Musk's Influence41:02 AI's Role in Software Development49:52 Transhumanism and AI Art54:50 The Future of Craftsmanship in Programming55:45 Conclusion and Contact InformationKey InsightsThe Power and Paradox of Spaced Repetition: Stewart and ~littel-wolfur discuss spaced repetition as an ingenious blend of laziness and persistence. By setting reminders to review information just before it's forgotten, spaced repetition acts as an effortless yet powerful memory tool. Although the practice demands daily discipline, it becomes an invaluable mechanism for retaining knowledge across vast timescales.SuperMemo and Incremental Reading: ~littel-wolfur shares his experience with SuperMemo, the original spaced repetition software that takes the method even further. SuperMemo's “incremental reading” allows users to gradually extract information from lengthy texts, breaking down complex learning into manageable, spaced chunks. For ~littel-wolfur, this approach goes beyond mere memorization; it turns learning into an immersive, long-term commitment.The Urbit Experiment: Urbit, a decentralized peer-to-peer network and OS, represents a radical rethinking of the internet. Stewart and ~littel-wolfur examine Urbit's potential as a platform where users truly own and control their data, echoing ideals of early Web 1.0. As the “long-haul project” of the tech world, Urbit cultivates an almost timeless ethos, making it as much a social experiment as a computing system.Shrubbery and Namespace Innovation: A core element of Urbit, “shrubbery” introduces a namespace that enables users to organize, connect, and retrieve information from across their digital universe. ~littel-wolfur explains how shrubbery allows users to link pieces of data like conversation notes, wikis, and documents, making it a versatile learning platform on Urbit. The elegance of this integration hints at a future internet where information can be personalized and seamlessly connected.Craftsmanship and Digital Resilience: ~littel-wolfur and Stewart touch on the fading art of craftsmanship in tech, which often gets lost in the layers of abstractions that modern software relies on. For ~littel-wolfur, coding on Urbit feels like working in a digital woodshop, where the focus is on intentionality and precision rather than flashy or disposable tech. This philosophy of craftsmanship offers a refreshing take on the art of creation in software, hinting at the durability and authenticity Urbit hopes to embody.AI's Limitations and Overconfidence Trap: The episode also highlights the limitations of AI, especially when it encourages laziness or over-reliance. While AI can help automate routine tasks, ~littel-wolfur warns of its tendency to produce fragile, overly complex solutions that unravel under scrutiny. They caution that true understanding comes not from shortcuts, but from engaging deeply with the work—a point that resonates with their belief in disciplined learning practices like spaced repetition.The Value of Optimism and Long Time Horizons: Amid a society obsessed with quick wins and rapid monetization, Stewart and ~littel-wolfur see Urbit's culture as a refreshing outlier, filled with builders who value curiosity and long-term thinking. This “thousand-year mindset” stands in contrast to much of the tech industry, where projects are often driven by immediate financial returns. By embracing a philosophy that resists the pressure for instant success, Urbit aligns itself with a vision of digital infrastructure that, rather than fueling transient trends, aims to be a lasting foundation for generations to come.

Let me know what you think of the episode! -Annie Welcome back to the Luminary Podcast with your host Annie Perry. Today I am introducing you to my Family of Light aboard the Lightbringer ship, the 9D Arcturian Council. We're discussing: This council's density, dimension, and the Mission of the Lightbringer The alternate JFK reality where we experienced disclosure and the reality that we created instead. How collective subconscious energy creates realities and timelines. Karmic spin points and how we are being released from them in our current reality. Yoheshua (Jesus) effect on our past and present as a High Frequency Conductor. The truth about George Washington being visited by Being's of Light, who they were and the channeled vision of the stories author. What the Arcturian's were doing on earth 300,000 years ago. The Arrival of the Annunaki (Anki) and their DNA tampering with early carbon templates. What the Elohim told the Anki and their influence on humanity. Differences between early carbon templates (Adam Kadmon) and our ability to change our current templates and DNA. 3rd density inhabitants before the Gaian became the sole species on Gaia. I'm glad you're here, don't forget to subscribe and share with a friend. You can find out more about my current offering by clicking the link below, visiting www.wellspringofficial.com or joining me on Instagram @iamthewellspringCONNECT WITH ME: Wellspring Official https://www.wellspringofficial.com/wellspring-linksInstagram https://www.instagram.com/iamthewellspring/Donate/Buy Me A Coffeehttps://www.buymeacoffee.com/annieperry27 For those interested in: Ascension, Human Design, Gene Keys, Spirituality, psychic, ascension, manifestation, quantum healing, psychology, inner child, consciousness, galactic, galactic family, Pleiadian, Arcturian, Sirian, Psychic channel, galactic federation of light, esoteric, Lightworker, started, astrology, tarot, reiki, star family, chakra, energy healer, energy, energy worker, spiritual podcast, masculine energetics, feminine energetics, new earth, energy updates, channeled messages, channeling, wellness. Music: Electronic Downtempo Emotional Music | Earth by Alex-Productions | https://www.youtube.com/channel/UCx0_M61F81Nfb-BRXE-SeVA Music promoted by https://www.free-stock-music.com Creative Commons Attribution 3.0 Unported Licensehttps://creativecommons.org/licenses/by/3.0/deed.en_US DISCLAIMER: Information in this podcast is meant to be informative and is not professional mental health advice. Please seek professional help if you are experiencing anxiety, depression or any other physical or mental health medical conditions. Please use discernment and care when implementing any spiritual or physical practices described in this podcast. Some names may have been changed to protect privacy. All original ideas, voice and cover artwork is protected under copyright laws.

Привет! In today's episode, I am talking about what I usually eat for breakfast. You will hear less common vocabulary on the topic 'Food', but don't worry, it's covered in my transcript along with extra practice using the prepositions 'без' and 'с'. ⁠⁠⁠⁠⁠⁠⁠ Get the transcript with extra vocabulary and practice, Anki flashcards and much more: ⁠HERE⁠ My Telegram channel: ⁠⁠⁠https://t.me/+QIrA_iW0DQU1MzRi

Połóg to temat, o którym mówi się zdecydowanie za mało, a większość mam nie jest na niego w pełni przygotowana. To, co usłyszysz od koleżanek, często pomija trudne aspekty tego czasu, które mogą zaskoczyć każdą świeżo upieczoną mamę. W nowym odcinku naszego podcastu położna Maria Kuć opowiada o wszystkim, czego nie usłyszysz w towarzyskich rozmowach – od problemów z laktacją po emocjonalne wyzwania. Zapraszamy do obejrzenia nowego odcinka podcastu z cyklu "Narodziny mamy", realizowanego we współpracy z marką Bella Baby Happy. W dzisiejszym odcinku położna Maria Kuć porusza niezwykle ważny temat połogu – czasu pełnego fizycznych i emocjonalnych zmian, przez który przechodzi każda mama po porodzie. Materiał powstał we współpracy z marką Bella Baby Happy

Summary In this episode of VetaHumanz Live!, host Victoria Menendez interviews veterinary student Nailah Smith about her experiences in veterinary school. They discuss her academic progress, study strategies, personal interests, and the importance of self-care. Nailah shares her successes, challenges, and the balance between rigorous studies and personal well-being, emphasizing the need for students to prioritize their mental health and take time for themselves.Keywords  VetaHumanz, veterinary medicine, time management, study strategies, self-care, academic success, veterinary student life, personal interests, health and well-being, veterinary educationTakeawaysNailah is currently in week eight of veterinary college.She achieved a hundred on one exam and an A on another.Time management is crucial for balancing studies and personal life.Nailah uses Anki for studying and writes concepts repeatedly to memorize them.Taekwondo remains a significant part of her life, and she is testing for her red belt soon.Anatomy continues to be her favorite class, especially learning about the digestive system.Hands-on experiences, like giving oral meds to a horse, are invaluable.Prioritizing sleep is essential, especially during exam weeks.Healthy eating habits are maintained, focusing on fruits and vegetables.Taking time for oneself is important for mental health. Chapters00:00 Introduction to Veterinary Journey02:40 Time Management and Study Strategies05:48 Personal Growth and Extracurricular Activities08:34 Health and Well-being11:31 Reflections and Encouragement

Alhomam Dabaliz, a driven medical student whose journey is fueled by a passion for teaching and a deep love for learning, shares how mastering Anki has helped him thrive. However, it's his desire to inspire others that truly sets him apart. With the Quran memorized from a young age and a commitment to being a positive influence, his story highlights the power of faith, education, and self-improvement. He's not just studying medicine for the grades but striving to leave a legacy. Tune in for a powerful story about knowledge, faith, and being the best version of yourself to help others! This episode was prepared by the scout: Hiba Raheel And our Producer: Maeen AlDamouni Please enjoy and let us know what you think of the episode on: #MSAPodcast To suggest guests for the upcoming episodes, reach us through our email: MSA-Podcast@alfaisal.edu      

This throwback episode features how we introduced the Very Dental Student Podcast! Mohamed talks with Al for a couple minutes and then brings in Dr. Brandon Evert to talk to him about the transition from student to dentist! Original show notes: Welcome to the inaugural episode of the Very Dental Student Podcast! Alan introduces your host, Mohamed Abo-Basha, who is a D2 at University of Oklahoma! Al's tips for dental students: If you can swing it, many dental companies will sell stuff to dental students at a pretty great discount (think loupes, headlamps, etc.) Take advantage of your dental student email address! Then, Mohamed brings the one and only Dr. Brandon Evert on for an amazing interview! Brandon's take on dental school Learn what kind of student you are (morning person, night person) and learn how to organize a routine Comparing and contrasting dental school styles (case studies vs. route memorization) When did you first get patient contact? Brandon was heavy on reps in the sim lab (note from Al: that makes Brandon smart!) Get used to indirect vision in preclinic! Brandon's first year out and his 4 year military commitment Military = seeing LOTS of dentistry Rotations at Paris Island (CAD/CAM, endo with a scope, surgery) Is the military experience worth it? Brand explains the financial aspects of a military scholarship ("it's not just a way to get free dental school.") and the non-financial aspects HPSP vs. HSCP Brandon's long term plan for private practice Some links from the show: The Extracting Wisdom podcast Anki flash card app The Shared Practices Podcast Join the Very Dental Facebook group using the password "Timmerman," Hornbrook" or "McWethy," "Papa Randy" or "Lipscomb!" The Very Dental Podcast network is and will remain free to download. If you'd like to support the shows you love at Very Dental then show a little love to the people that support us! -- Crazy Dental has everything you need from cotton rolls to equipment and everything in between and the best prices you'll find anywhere! If you head over to verydentalpodcast.com/crazy and use coupon code “VERYDENTAL10” you'll get another 10% off your order! Go save yourself some money and support the show all at the same time! -- The Wonderist Agency is basically a one stop shop for marketing your practice and your brand. From logo redesign to a full service marketing plan, the folks at Wonderist have you covered! Go check them out at verydentalpodcast.com/wonderist! -- Enova Illumination makes the very best in loupes and headlights, including their new ergonomic angled prism loupes! They also distribute loupe mounted cameras and even the amazing line of Zumax microscopes! If you want to help out the podcast while upping your magnification and headlight game, you need to head over to verydentalpodcast.com/enova to see their whole line of products! -- CAD-Ray offers the best service on a wide variety of digital scanners, printers, mills and even  their very own browser based design software, Clinux! CAD-Ray has been a huge supporter of the Very Dental Podcast Network and I can tell you that you'll get no better service on everything digital dentistry than the folks from CAD-Ray. Go check them out at verydentalpodcast.com/CADRay!

Don't try to learn pronunciation by reading. Instead, the best way to improve is to listen to and mimic native speakers. Focusing too much on how sounds are written down can actually make it harder to hear them! #learnchinese #pronunciation #pinyin #labels  Link to article: Don't learn Mandarin pronunciation by reading, listen and mimic instead: https://www.hackingchinese.com/dont-learn-mandarin-pronunciation-by-reading/ Hacking Chinese Pronunciation: Speaking with Confidence: https://www.hackingchinese.com/courses/mandarin-chinese-pronunciation-course/ Why learning Chinese pronunciation by using English words is a really bad idea: https://www.hackingchinese.com/why-learning-chinese-pronunciation-by-using-english-words-is-a-really-bad-idea/ Learning the third tone in Mandarin: https://www.hackingchinese.com/learning-the-third-tone-mandarin-chinese/ A guide to Pinyin traps and pitfalls: https://www.hackingchinese.com/a-guide-to-pinyin-traps-and-pitfalls/ How to learn to hear the sounds and tones in Mandarin: https://www.hackingchinese.com/how-to-learn-to-hear-the-sounds-tones-in-mandarin/ Pinyin chart - Chinese Pronunciation Wiki: https://resources.allsetlearning.com/chinese/pronunciation/pinyin_chart The Hacking Chinese tone training course: https://www.hackingchinese.com/the-tone-training-course-is-now-open/ Free and easy audio flashcards for Chinese dictation practice with Anki: https://www.hackingchinese.com/free-and-easy-audio-flashcards-for-chinese-dictation-practice-with-anki/ YouGlish: A free service to hear and see Chinese words in context: https://www.hackingchinese.com/youglish-a-free-service-to-hear-and-see-chinese-words-in-context/ Listen before you read: Improve your Chinese listening ability: https://www.hackingchinese.com/listen-before-you-read-improve-your-listening-ability/ The best free Chinese listening practice for all levels: https://www.hackingchinese.com/the-10-best-free-chinese-listening-resources-for-beginner-intermediate-and-advanced-learners Beginner Chinese listening practice: What to listen to and how: https://www.hackingchinese.com/beginner-chinese-listening-practice-what-to-listen-to-and-how/ Learning to pronounce Mandarin with Pinyin, Zhuyin and IPA: Part 1: https://www.hackingchinese.com/learning-to-pronounce-mandarin-with-pinyin-zhuyin-and-ipa-part-1/ Improving your Chinese pronunciation by mimicking native speakers: https://www.hackingchinese.com/mimicking-native-speakers-way-learning-chinese More information and inspiration about learning and teaching Chinese can be found at: https://www.hackingchinese.com Music: "Traxis 1 ~ F. Benjamin" by Traxis, 2020 - Licensed under Creative Commons Attribution (3.0)

They dive deep into the world of mentorship, personal growth, and problem-solving with our special guests, Joao and Manny, alongside our insightful panelists, AJ and Charles.In this episode, they explore the transformative power of weekly accountability meetings (WAM), where tasks are committed and followed up with a yes or no, no excuses allowed. Joao and Manny share their journey of mentorship that crossed borders, forging a strong bond through adversity and mutual respect. We'll also delve into how their dynamic friendship amplifies professional standards, and the importance of balancing personal and professional relationships.We discuss the profound impacts of structured problem-solving methods, specifically George Polya's renowned four-step process. Joao and Manny highlight how this systematic approach has refined their coding skills and overall problem-solving abilities. Alongside, we touch upon the fascinating intersection of human learning and AI, emphasizing the unique capacity humans have for generalizing new problems from limited data.In addition, our speakers will share their roadmap for continuous learning, curriculum development, and practical exercises—highlighting tools like Trello for task management and Anki for reinforcing learning. AJ O'Neil offers his unique perspective on the talent it takes to thrive in programming and how personal enjoyment is crucial for sustained success.Later, we'll transition to our Picks section, where AJ, Charles, and the guests share their latest recommendations, from essential productivity tools and engaging books to top-notch apps and board games.Finally, we'll wrap up with some valuable insights on time management, consistent study habits, and the importance of finding a mentor who truly cares about your growth. Whether you're a seasoned developer or just starting out, this episode is packed with practical advice and inspiring stories that you won't want to miss. So, tune in for all this and more on Top End Devs!PicksAJ - Apple EarpodsAJ - SwiftUICharles - Biblios | Board GameCharles - FreeStyle Libre 3 SystemManny - Jaco: The Extraordinary and Tragic Life of Jaco PastoriusManny - Baldur's Gate 3 on SteamBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

I want to feel safe - tak jsem jmenuje nové album česko-vietnamského rappera Ankiho. K mnohdy syrovým výpovědím o životě z předešlých No More Drama či EU Passport Karaoke EP, přibyly nové střípky příběhů, které by svou tvrdostí nezapadly ani v textech leckteré přísné punkové kapely. Právě jeho přístup nás ve Špíně přinutil pozvat si ho do studia a probrat místní rapovou scénu, proměny jeho zvuku i osvobozující moc storytellingu.

This episode is sponsored by Reflect. It's the ultra-fast note-taking app that's about to change the way you take notes. To boost your productivity with advanced features like custom prompts and voice transcripts, give Reflect a try by clicking on this link: https://reflect.app/?utm_source=every&utm_medium=sponsorship&utm_campaign=september2024 Simon Eskildsen is a learning machine.  I first interviewed him in 2020 about how he leveled up from an intern at Shopify to the company's director of production engineering by reading and applying insights from hundreds of books. A lot has changed over the last four years. LLMs have made it possible to contextualize information like never before—and in this episode, I sat down with Simon to talk about how this changes the way he learns. Simon is now the cofounder and CEO of AI startup turbopuffer, which is building a search engine that makes vector search easy and affordable to run at scale. We get into: How Simon's learning rituals have evolved over time, as the cofounder of a growing startup and a new parent  The ways Simon has integrated ChatGPT, Claude, and Notion AI to do everything from writing legal documents to maintaining his rural cabin in Quebec  The custom AI commands in productivity tool Raycast that Simon uses to learn new words and cook creative dishes Simon's take on how language models will reshape the future of learning, especially skills like language acquisition, for the next generation  As we talk, we screenshare through his Anki setup, including the flashcard template he finds most useful, and try out his custom AI commands in Raycast to understand the meaning of two of my favorite obscure words, “lambent” and “eigengrau.” This is a must-watch for note-taking aficionados and anyone who wants to supercharge their learning with AI. If you found this episode interesting, please like, subscribe, comment, and share!  Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe  Follow him on X: https://twitter.com/danshipper  Timestamps: Introduction: 00:01:06 How entrepreneurship and parenthood changed Simon's learning rituals: 00:02:51 How Simon accelerates his learning by using LLMs to find associations: 00:12:59 Simon's Anki setup and the flashcard template he swears by: 00:18:24 The custom AI commands that Simon uses most often: 00:26:02 How Simon uses LLMs for DIY home projects: 00:37:45 Leveraging LLMs as intuitive translators: 00:40:48 Simon's take on how AI is reshaping the future of learning: 00:51:38 How to use Notion AI to write: 00:59:10 The AI tools that Simon uses to write, read, and code: 01:08:53 Links to resources mentioned in the episode:  Simon Eskildsen: @Sirupsen Simon's startup, turbopuffer: turberpuffer.com, @turbopuffer My first interview with Simon in 2020: https://every.to/superorganizers/how-to-build-a-learning-machine-299655  The productivity tool through which Simon uses LLMs, Raycast: https://www.raycast.com/  The other AI tools that Simon is experimenting with: voice-to-text tool superwhisper, copilot for developers Supermaven, code editor Cursor

Send us a textDr. Idha Sood joins us today to talk about NeurAnki.What is Anki? For the uninitiated, it is "a free and open-source flashcard program. It uses techniques from cognitive science such as active recall testing and spaced repetition to aid the user in memorization."Idha talks with us about the process of undertaking a project of this magnitude and the management challenges that came along with it.  Learn more about NeurAnki hereYou can find Dr. Idha Sood on X/Twitter here. Check out our website at www.theneurotransmitters.com to sign up for emails, classes, and quizzes! Would you like to be a guest or suggest a topic? Email us at contact@theneurotransmitters.com Follow our podcast channel on

Notes del programa Aquest estiu han tingut lloc les Olimpíades, cosa que ens ha animat a practicar un dels esports que més ens agraden: queixar-nos. Parlarem del que ens fa emprenyar i el que ens fa bullir la sang. Som-hi! Fes-te membre de la subscripció de pòdcast i obtén la llista de vocabulari amb totes les expressions (https://easycatalan.org/membership) Bonus Continuem la llista amb encara més coses que ens rebenten. Transcripció Sílvia: [0:15] Bon dia, Andreu! Andreu: [0:16] Bon dia! Com estem? Sílvia: [0:18] Molt bé, molt bé! Aquests dies ja saps que han sigut les Olimpiades… "Olimpíades", no?, crec que es diuen. Andreu: [0:24] "Olimpíades", sí. Sílvia: [0:26] "Olimpíades". A París, i a la tele tots els dies estaven fent diferents esports, que hi ha vegades que em sorprèn i tot, perquè hi han esports olímpics que jo no sabia que ho eren, vull dir… Andreu: [0:38] Bé, és que cada vegada n'hi ha més. La llista d'esports i disciplines va creixent. Sílvia: [0:42] Ah, d'acord, d'acord. I per a l'episodi d'avui, del pòdcast, he pensat que podríem parlar d'un esport nacional, jo diria, una cosa que ens encanta fer a tots els catalans, i és queixar-nos! Andreu: [0:56] D'acord, sí, això ho sabem fer molt bé, sí. Sílvia: [1:00] A més a més, ens encanta. Vull dir, és una cosa que és gratis. Andreu: [1:05] I com tots els esports, és important la regularitat, no?, perquè si no, es perd la… o sigui, perds la… la forma, el to. I cal estar… Cal practicar sovint. Sílvia: [1:16] Sí, sí. Sí. No t'has de perdre cap entrenament, exacte. Sí, sí, és així, és així. Doncs si et sembla bé, Andreu, avui el que podríem fer és queixar-nos una estona de diferents temes. I… [Fantàstic.] A part de queixar-nos, que ens anirà molt bé també per la salut, podem veure diferents expressions, verbs i formes per queixar-nos. Andreu: [1:36] Molt bé! Genial! Doncs bé, com que en aquest episodi sortiran diferents expressions relacionades amb això, amb el fet de queixar-se, recordeu que si us feu membres de la comunitat amb la subscripció de pòdcast podreu descarregar la llista de vocabulari amb totes aquestes expressions traduïdes a l'anglès i també consultar-les a l'ajuda de vocabulari a mesura que es reprodueix l'episodi, d'acord? Així podreu practicar i aprendre millor totes aquestes expressions que sortiran. Sílvia: [2:06] I com ho han de fer per apuntar-s'hi, per poder veure aquesta llista? Andreu: [2:10] Doncs, senzillament, entrar a easycatalan.org/membership, allà triar el nivell de subscripció de pòdcast, en aquest cas, i un cop dins de la plataforma trobareu les instruccions per connectar-vos a la versió del pòdcast per a membres, que és aquesta versió amb l'ajuda de vocabulari, amb la transcripció completa i amb el bonus, els minuts extra al final, i també tindreu els enllaços per descarregar-vos, doncs, això, el txt, l'arxiu txt amb el vocabulari que podreu importar a una aplicació de flashcards, si en feu servir, per exemple Anki o una que es diu Flashcards, simplement. Per tant, és molt senzill i pot ser una eina molt útil per a vosaltres per continuar aprenent vocabulari nou. Sílvia: [2:59] Sí, a mi m'encanta fer servir un… una altra pàgina web que es diu Quizlet, "Quíslet", o no sé com s'hauria de dir en català, i va molt bé, la veritat. Una vegada has posat la llista de vocabulari que tu et vols aprendre allà, es genera automàticament una sèrie d'exercicis en línia i pots fer fins i tot un ex… un examen i coses així. A mi m'agrada molt. Andreu: [3:20] Per tant, això, si voleu integrar-vos bé en la societat catalana, heu de saber queixar-vos i, per tant, el vocabulari d'avui serà molt important. Vinga, doncs, comencem? Sílvia: [3:32] Comencem! [...] Fes-te membre de la subscripció de pòdcast per accedir a les transcripcions completes, a la reproducció interactiva amb Transcript Player i a l'ajuda de vocabulari. (http://easycatalan.org/membership)

September är här och vardagsrutinerna likaså! Hur har du det med din lilla lunchlåda så här i början av hösten? Vi pratar allt som har med vår älskade och ibland hatade matlåda att göra. Lyssna på alla avsnitt i Sveriges Radio Play. Ett nyfiket och underhållande aktualitetsprogram med lyssnare i fokus.Vi pratar bland andra med Anders som drömmer om en matlådebuffé och Anki som berättar ordentlig matlåde-olycka. Vi ringer också matexperten Lennart Wallander som pratar om höstens mattrender!I extramaterialet pratar vi om våra egna matlådeminnen! Sarit känner matlåde-skam och Hugo berättar om hur han som barn byteshandlade på klassresor. Vi ser också till att hurra för vår kära lyssnare Therese!

Victoria Groce is the best trivia contestant on earth. The winner of the 2024 World Quizzing Championship explains the structure of a good question, why she knits during competitions, and how to memorize 160,000 flashcards. SOURCE:Victoria Groce, “The Queen” on the television game show The Chase. RESOURCES:The Chase, TV series (2013-2015, 2021-present).LearnedLeague.Anki. EXTRAS:"Ken Jennings on How a Midlife Crisis Led Him to Jeopardy! (Replay)," by People I (Mostly) Admire (2021)."Mayim Bialik on the Surprising Risks of Academia and Stability of Show Biz (Replay)," by People I (Mostly) Admire (2021).

How can residents maximize their surgical skills development and personal growth during the grueling years of urology residency? In the second edition of the BackTable Urology podcast's PGY Playlist series, host Dr. Gina Badalato interviews Dr. George Moran, a chief resident from Columbia University, about his recommended strategies. --- SYNPOSIS Dr. Moran shares his approach to studying medical guidelines, using the spaced repetition app, Anki, and preparing for the annual in-service exam. The doctors also discuss GAMERS, a surgical simulation competition started by Dr. Moran intended to improve robotic skills. Finally, Dr. Moran speaks to the importance of adaptability, personalization, and mentorship in effective learning during residency. --- TIMESTAMPS 00:00 - Introduction 02:38 - Strategies for Learning Medical Knowledge 09:08 - Preparing for Exams 16:14 - Robotic Simulation 21:46 - Final Wisdom

Morgana is back but sick. Still, it doesn't stop us from returning to Paru Itagaki's unhinged animal kingdom with Beast Complex 2 + 3! We also talk about hot lettuce, Tougen Anki: Legend of the Cursed Blood, Ramen Akaneko, Maru Sankaku Shikaku, and more!!! Send us emails! mangamachinations@gmail.com  Follow us on Twitter! @mangamacpodcast Check out our website! https://mangamachinations.com Check out our YouTube channel! https://www.youtube.com/mangamactv Check out our new commentary channel! https://www.youtube.com/@MangaMacWatches Timestamps: Intro - 00:00:00 American Library Association Conference - 00:08:58 Tougen Anki: Legend of the Cursed Blood - 00:11:24 The Guy She Was Interested In Wasn't a Guy at All - 00:15:37 Unico: Awakening - 00:16:40 The Wicked City - 00:20:05 Ramen Akaneko - 00:28:53 Maru Sankaku Shikaku - 00:31:00 Next Episode Preview - 00:47:54 Beast Complex 2 + 3 - 00:48:43 Outro - 01:16:15 Songs Credits: “Galaxy Groove” by Yarin Primak “Slappy” by Ido Maimon “Whipped Cream” by Steven Beddall “Psychedelic Funkadelic” by Evert Z

Our book review series, Chess Books Recaptured, is back to discuss a “non-chess” book for the first time. However, the information in this book is vital for any student of the game. Make it Stick: The Science of Successful Learning is an extremely insightful encapsulation of best practices for learning and retaining information. The book is written by Peter C. Brown, Henry Roediger and Mark McDaniel, and was the culmination of 10+ years of research. Joining me to discuss the book is emergency room physician and dedicated chess amateur Dr. Nick Vasquez. Nick has been blogging about how Make it Stick changed his thinking about learning and chess study, and we thought it was worth expanding the blog posts into a conversation. Key precepts of the book include the importance of mixing study themes, spacing out your study, testing your knowledge frequently, and emphasizing understanding and contextualization of the study material. Timestamps of the topics discussed are below.  Thanks to our presenting chess education sponsors, Chessable.com!  Be sure to check out their new courses including IM Christof Sielecki's new course, and if you use this link to sign up for Chessable Pro, and/or make a Chessable purchase, it will help support Perpetual Chess.  https://www.chessable.com/pro/?utm_source=affiliate&utm_medium=benjohnson&utm_campaign=pro Interviews Mentioned:  Episode 286 Adult Improver Series Interview with Dr. Nick Vasquez  Episode 349 with Dr. Anique de Bruin  Nick's blog posts about Make it Stick: Book Review- https://nickvasquezmd.substack.com/p/make-it-stick Chess Implications: https://nickvasquezmd.substack.com/p/making-it-stick 0:02- How did Make it Stick change Nick's thinking about learning and studying chess?  0:09- What are the implications for opening learning of Make it Stick Mentioned: Make it Stick website  21:00- What is the difference between varied practice and interleaving?  24:30- How did the book alter Nick's training plan?  Mentioned: The Chess Steps, Practical Chess Exercises, GM Wojciech Moranda's Books, GM Winning Chess Exercises for Kids, Anki  29:00- When trying to ingrain something into one's memory are you better off studying things over decreasing time intervals or increasing time intervals?  33:00- More chess study conclusions Mentioned: FM Nate Solon's How to Learn an Opening in 2023 40:00- Is is true that “there is no such as a learning style?”  45:00- Final thoughts and favorite quotes and studies cited.  50:00- What is a “memory palace? Mentioned; Moonwalking with Einstein 57:00- Thanks to Dr. Vasquez for rejoining me! Be sure to sub to his blog here: https://nickvasquezmd.substack.com/ If you would like to help support Perpetual Chess via Patreon, you can do so here: https://www.patreon.com/perpetualchess Learn more about your ad choices. Visit megaphone.fm/adchoices