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How will the comrades recover from the air raid they just experienced? We follow them as they take steps to regroup.
Artist: DJ Ostap (Russia, Krasnodar) ideep Community Name: DHP Podcast #196 [June 2025] Genre: Deep House, Electronica Release Date: 11.06.2025 Exclusive: Deep House Petersburg Tracklist: 01. Aamir - Repeat (Nu Zau Remix) 02. Holy Bee - Cesare vs Disorder 03. Antraum aka Anton, Traumer - Roko 04. Kuda, Knyazev (RU) - Beginning 05. Andrey Loud - Arrakeen 06. Foreign Guest, Cook Strummer - Run (Ian Pooley Remix) 07. Daniel Meister - Traum 08. Eskuche - Feelings 09. Roy Rosenfeld - What Happened To Me 10. Tiger Stripes - Far Out В совместной публикации DHP и ideep Community звучит компиляция хедлайнера южно-российского интеллигентного андеграунда, охватывающая актуальную стилистическую палитру отечественного и зарубежного минималистичного танцпола.
The group has received word from spies that the camp is going to be attacked by the army. They prepare for the inevitable. Will they survive the attack?
Pagi ini, Gubernur Jawa Barat Dedi Mulyadi bertemu dengan sejumlah keluarga korban longsor tambang Gunung Kuda, Cirebon, di Gedung Negara Cirebon, Jawa Barat.
Gubernur Jawa Barat Dedi Mulyadi bertemu dengan sejumlah keluarga korban longsor tambang Gunung Kuda, Cirebon, di Gedung Negara Cirebon, Jawa Barat.
The intake is complete and the training has begun. Kuda is itching to go into battle. Will he get his wish?
The villagers leave the burnt remnants of their home for unknown lands. They have questions from where are they going and what will happen when they get there? Let the journey begin.
Le géant britannique Revolut annonce un investissement d'un milliard d'euros en France. Une occasion de faire le point sur ces banques 100 % digitales, qui séduisent de plus en plus d'usagers à travers le monde, en bouleversant les codes traditionnels du secteur. Décryptage. Les banques en ligne, aussi appelées néobanques, se distinguent par leur fonctionnement entièrement digital. Accessibles uniquement via une application mobile ou un site internet, elles n'ont ni agences physiques, ni guichets. Cette absence d'infrastructure leur permet de proposer des services bancaires à des tarifs très compétitifs, voire gratuits. L'ouverture d'un compte se fait en quelques clics, sans frais, sans rendez-vous, et sans paperasse. Les coûts de fonctionnement étant réduits au minimum, ces établissements misent sur l'automatisation pour assurer la gestion des opérations. On distingue deux grands types de banques en ligne : les indépendantes, comme l'Allemande N26 ou la Britannique Revolut, et celles adossées à des banques traditionnelles, comme HelloBank (BNP Paribas) ou Boursobank (Société Générale).Un marché en pleine explosionMême si elles ne rivalisent pas encore en taille avec les banques traditionnelles, les néobanques occupent une place de plus en plus importante. Selon Grand View Research, le marché mondial des banques en ligne, estimé à 67 milliards de dollars en 2022, pourrait dépasser 3400 milliards d'ici à 2030. Cette croissance est portée par la hausse rapide du nombre de clients dans le monde : il a triplé depuis 2020, atteignant aujourd'hui plus de 300 millions.Une solution d'inclusion financière, notamment en AfriqueLe succès des néobanques ne se limite pas à l'Europe ou aux pays occidentaux. Sur le continent africain, elles apparaissent comme de véritables leviers d'inclusion financière. Face à un taux de bancarisation encore faible, elles offrent des solutions simples, mobiles et accessibles à des millions de personnes exclues du système bancaire classique.Des acteurs comme TymeBank en Afrique du Sud, Kuda au Nigeria ou encore Djamo et Orange Bank en Afrique francophone participent à cette transformation. En combinant l'essor du smartphone, le développement du commerce en ligne et le désintérêt des banques traditionnelles pour les populations à faibles revenus, ces néobanques trouvent un terrain fertile. Reste néanmoins un défi de taille : atteindre une rentabilité durable malgré un modèle basé sur des frais réduits, tout en consolidant la confiance des usagers sans relation physique.À lire aussiLe Nigeria à la pointe dans la monnaie digitale de banque centrale
Kuda is a university student in a place where he doesn't feel welcome. He does not feel set up for success. The question is what will he do about it?
La Porta | Renungan Harian Katolik - Daily Meditation according to Catholic Church liturgy
Dibawakan oleh Nia dari Paroki Santa Maria Tak Bercela di Keuskupan Surabaya, Indonesia. Kisah Para Rasul 9: 31-42; Mazmur tg 116: 12-13.14-15.16-17; Yohanes 6: 60-69.ROTI HIDUPMENDORONG UNTUK BERJALAN MAJU Tema renungan kita pada hari ini ialah: Roti Hidup Mendorong Untuk BerjalanMaju. Kuda seorang romo hanya dapat makan di tempat perhentian tertentu, karenadi sana ada makanan dan minuman tersedia baginya. Romo, ketika kunjunganpastoral ke pegunungan, duduk di punggung kuda bersama juga sejumlah baranglain dalam beberapa karung. Kuda sebagai teman perjalanan romo. Meski capai dan lapar, ia tak tergodauntuk berhenti dan mencari makan atau minuman. Jatah makan dan minumnya ada dikampung, tempat yang sudah dikenalinya. Makanan dan minuman itulah yangmemotivasi kuda untuk berjalan terus dalam arah yang sama dan tak mungkin iaberganti haluan. Kuda tak peduli beban yang dibawa dan keletihan yangmenderanya. Ia hanya tahu bahwa nanti pas berhenti ada makanan yang tersediabaginya. Roti hidup Yesus Kristus membuat kita di dalam Gereja berjalan terus ketujuan yang sudah pasti yang dikehendaki Tuhan sendiri. Seperti makanan yangmemotivasi kuda berjalan terus, kita juga terdorong bahkan terdesak untukberjalan terus dan berbuat seperti sang Guru kita, Yesus Kristus. Diamenjadikan diri-Nya makanan kita. Mengajarkan dan memasukkan anggota baru ke dalam Gereja, pertobatan danpembaharuan diri, penyembuhan seperti yang dilakukan oleh Petrus dalam bacaanhari ini, dan membangun komunitas, semua ini menjelaskan bagaimana kita sebagaiGereja dan anggotanya bergerak maju untuk mewujudkan pekerjaan-pekerjaan YesusKristus. Gereja mesti bergerak dan berjalan maju. Roti hidup Yesus Kristus sepantasnya mendorong, mendesak bahkan menuntutdengan tegas. Makan Tubuh dan minum Darah Yesus Kristus sama dengan memakaidiri Yesus Kristus ke dalam diri kita masing-masing sehingga Roh-Nya menguasaikita. Resikonya ialah kita harus menjalankan kehendak-Nya. Banyak orang dengan kebebasan, tanggung jawab dan optimisme menerima reskioitu dengan suka cita. Maka Gereja Perdana berkembang cepat dalam jumlah danrasa betah dirasakan oleh semua. Gereja ini berjalan terus sampai menjadiGereja saat ini. Gereja saat ini juga mengikuti jalan Yesus Kristus dan terusberjalan maju. Namun ada yang terpaksa memutuskan untuk menolak, mengambil jalan lain atauberbalik. Ada sebagian anggota Gereja saat ini menolak ajaran Kristus danGereja-Nya yang terlalu keras dan menuntut, karena semangat hidup mereka sudah mengambiljalannya sendiri-sendiri. Semoga Anda tidak termasuk dalam kelompok ini.Marilahkita berdoa. Dalam nama Bapa... Tuhan dan Allah kami, pujian dan terima kasihkarena Yesus Putramu sebagai jalan, kebenaran dan kehidupan kami. Semoga kamisenatiasa setia kepada-Nya sekarang dan sampai selama-lamanya. Bapa kami yangada di surga ... Dalam nama Bapa ...
On this episode, 'Laolu, Furo, and Nosa talk about Paystack launching Zap, PayHippo's recent $4 million raise, rebrand as Rivy and pivot to clean energy financing, alongside news of Nigerian neobanks like Kuda and Nomba launching premium tiers._We love hearing your thoughts! Find us on X (@TheOAPod) and Instagram (@openafricapod) and tag us in your conversations. Hosted on Acast. See acast.com/privacy for more information.
Today, we share our five top stocks to buy if they won thelottery, including picks like Pernod Ricard, Visa, Ferrari, Microsoft, and LVMH. With no restrictions, such as yield, we look at key factors driving our choices, such as brand power, growth potential, and pricing strength.We also preview an upcoming newsletter on big pharma, with Derek focusing on Merck & Co. and the top-selling drug, Kuda.And as always, we finish with some excellent Listener questions
Aliansi Pemuda Bersatu Gelar Aksi Damai di Patung Kuda
Redovni izvještaji sa svih frontova. Ko nas (sve) plaća? PZE, bojkot istog i ko je uopšte Bojana Vunturišević u toj priči? Kuda plovi američki brod, geopoetika i ostale prinadležnosti. Potreba za (kolektivnim) identitetom. Svi koji vole klasično Diznilend šarenilo, izvolte u salonu. Pratite nas na: https://www.youtube.com/@dopisiizdiznilenda www.facebook.com/DopisiizDiznilenda/ www.podcast.rs/autori/dopisi-iz-diznilenda/ Ako želite da nam pomognete u održavanju servera na soundcloudu, uplate rado primamo na PayPal: mtanic@gmail.com ili postanite naš patron na www.patreon.com/dopisi Miljan: fb: /mtanic, Twitter/Instagram: @mtanic YouTube: /Mtanic Nemanja: fb: /paleksic @diznilend iTunes: itunes.apple.com/us/podcast/id1223989792 Stitcher: https://www.stitcher.com/show/dopisi-iz-diznilenda-podcast Pocket Casts: pca.st/pT2h podcast.rs/show/dopisi-iz-diznilenda/ Spotify: https://open.spotify.com/show/4U3wm6QOkJ30QEbk1kvqZS?si=RM6QdrOlTuO0WUJzYBl7hA
Od 1. novembra 2024. godine, Srbija se suočava sa ozbiljnim previranjima: pad nadstrešnice u kojoj je stradalo 15 ljudi i koja je razotkrila sistemsku neodgovornost, pokrenula je lavinu građanskog nezadovoljstva. Širom zemlje, studenti su se istakli kao pokretači i predvodnici, organizujući proteste, blokade fakulteta i masovne proteste, i u građaninima probudili davno uspavanu nadu. U ovoj podkast epizodi, petoj epizodi u našem "REACHing Citizens" podkastu, sa učesnikom naših lokalnih građanskih konsultacija u Beogradu, Nemanjom Stankovićem, analiziramo kako je ta "vatra" otpora pokrenuta, šta je sve ona osvetlila i kako su studenti uspeli da nas svojim pametnim potezima i energijom iznenade i podsete na ono što kao da smo svi zaboravili - da postoje nadležne institucije i da su te institucije dužne da rade svoj posao. Taj njihov zahtev je na kraju, nakon niza događaja koji je pokrenuo, doveo i do pada Vlade. U trenucima velikih promena, svakodnevnih protesta koji neretko okupe više od 100 000 građana i društvene transformacije u Srbiji, sa našim gostom pričali smo i o budućnosti koja nas očekuje, temi zaštite životne sredine i problemom zagađenja vazduha i iskopavanju litijuma, kao i o evropskom putu Srbije i odnosu evropskih institucija prema institucijama u Srbiji, kao i prema građanima.
Amanda is an alcohol-free lifestyle expert, holistic life coach, speaker, and author. Amanda's journey shows that you don't need a drinking problem for alcohol to hold you back. Without hitting rock bottom, she discovered during Dry January that sobriety was the key to a more fulfilling life. Since going alcohol-free in 2017, she's been helping others embrace intentional living and unlock their full potential. Her debut book, Unbottled Potential, is a transformative guide to living alcohol-free, designed to help people manifest success and lead extraordinary lives. Amanda's approach isn't about a temporary challenge—it's about redefining what it means to live fully and authentically through the sober-curious movement. Here are some of the things we talked about in today's podcast: · Social pressures can make sobriety feel isolating. · Cutting back on alcohol can be a mental struggle. · Going cold turkey can be more effective than moderation. · Unexpected benefits of sobriety include increased clarity and creativity. · Friendships may evolve as drinking habits change. · Embracing discomfort can lead to personal growth and new connections. The realization of true friendship often comes after sobriety. · Facing emotions without alcohol is a challenging but necessary process. · Alcohol can cap your ability to experience joy. · It's important to sit with your emotions rather than escape them. · Life can become unimaginably better after quitting alcohol. · Finding your 'why' is crucial for maintaining sobriety. · Embracing discomfort can lead to personal growth and fulfilment. (Website) Amanda Kuda | Life Coach For Sober Curious & Alcohol-Free Women (Instagram) Amanda Kuda | Alcohol-Free Life Coach (@amandakuda) • Instagram photos and videos (Podcast) The Unbottled Potential Podcast — Amanda Kuda | Life Coach For Sober Curious & Alcohol-Free Women (Blog) Life Coach & Mentor helping women live more authentically — Amanda Kuda | Life Coach For Sober Curious & Alcohol-Free Women (Youtube) Authentically Amanda - Amanda Kuda - YouTube (Twitter) AmandaKuda (@AmandaKuda) / X (Book) Unbottled Potential Unbottled Potential: Break Up with Alcohol and Break Through to Your Best Life - Kindle edition by Kuda, Amanda. Religion & Spirituality Kindle eBooks @ Amazon.com.
Buku "Arsitek Ibadah: Pedoman Merancang Ibadah yang Alkitabiah, Autentik, dan Relevan" (Constance M. Cherry)
Kuda Vana Partnership (formerly Murwira Children_s Home) was officially founded in 2006 by retired church secretary Paula Leen. Paula had lived and worked in Zimbabwe for several years, and in 1997, when she was in her sixties, Paula felt called to help the orphaned children of Zimbabwe. Tara Petersen explains what we can do to help.
This week we saddle up with Qabil Ambak, Atlet ekuestrian Malaysia yang telah mencipta nama di persada Antarabangsa. Nak tahu kisah dan cabaran Qabil untuk mencapai pingat emas di 19th ASIAN Games? #jomsembang
Happy New Year! Maybe along with celebrating, you're also thinking about leading yourself to new levels of success and growth in 2025. After all, it's a New Year; why not a New You? For inspiration and some immediately useful ideas for moving beyond resolutions, listen to our Fan-Favorite New Year's conversation with guest Kuda Biza.Read More The post New Year, New You; Seizing 2025 With Purpose – with Kuda Biza appeared first on Business Advancement.
We have a full slate of upcoming events: AI Engineer London, AWS Re:Invent in Las Vegas, and now Latent Space LIVE! at NeurIPS in Vancouver and online. Sign up to join and speak!We are still taking questions for our next big recap episode! Submit questions and messages on Speakpipe here for a chance to appear on the show!We try to stay close to the inference providers as part of our coverage, as our podcasts with Together AI and Replicate will attest: However one of the most notable pull quotes from our very well received Braintrust episode was his opinion that open source model adoption has NOT gone very well and is actually declining in relative market share terms (it is of course increasing in absolute terms):Today's guest, Lin Qiao, would wholly disagree. Her team of Pytorch/GPU experts are wholly dedicated toward helping you serve and finetune the full stack of open source models from Meta and others, across all modalities (Text, Audio, Image, Embedding, Vision-understanding), helping customers like Cursor and Hubspot scale up open source model inference both rapidly and affordably.Fireworks has emerged after its successive funding rounds with top tier VCs as one of the leaders of the Compound AI movement, a term first coined by the Databricks/Mosaic gang at Berkeley AI and adapted as “Composite AI” by Gartner:Replicating o1We are the first podcast to discuss Fireworks' f1, their proprietary replication of OpenAI's o1. This has become a surprisingly hot area of competition in the past week as both Nous Forge and Deepseek r1 have launched competitive models.Full Video PodcastLike and subscribe!Timestamps* 00:00:00 Introductions* 00:02:08 Pre-history of Fireworks and PyTorch at Meta* 00:09:49 Product Strategy: From Framework to Model Library* 00:13:01 Compound AI Concept and Industry Dynamics* 00:20:07 Fireworks' Distributed Inference Engine* 00:22:58 OSS Model Support and Competitive Strategy* 00:29:46 Declarative System Approach in AI* 00:31:00 Can OSS replicate o1?* 00:36:51 Fireworks f1* 00:41:03 Collaboration with Cursor and Speculative Decoding* 00:46:44 Fireworks quantization (and drama around it)* 00:49:38 Pricing Strategy* 00:51:51 Underrated Features of Fireworks Platform* 00:55:17 HiringTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner at CTO at Danceable Partners, and I'm joined by my co-host, Swyx founder, Osmalayar.Swyx [00:00:11]: Hey, and today we're in a very special studio inside the Fireworks office with Lin Qiang, CEO of Fireworks. Welcome. Yeah.Lin [00:00:20]: Oh, you should welcome us.Swyx [00:00:21]: Yeah, welcome. Yeah, thanks for having us. It's unusual to be in the home of a startup, but it's also, I think our relationship is a bit unusual compared to all our normal guests. Definitely.Lin [00:00:34]: Yeah. I'm super excited to talk about very interesting topics in that space with both of you.Swyx [00:00:41]: You just celebrated your two-year anniversary yesterday.Lin [00:00:43]: Yeah, it's quite a crazy journey. We circle around and share all the crazy stories across these two years, and it has been super fun. All the way from we experienced Silicon Valley bank run to we delete some data that shouldn't be deleted operationally. We went through a massive scale where we actually are busy getting capacity to, yeah, we learned to kind of work with it as a team with a lot of brilliant people across different places to join a company. It has really been a fun journey.Alessio [00:01:24]: When you started, did you think the technical stuff will be harder or the bank run and then the people side? I think there's a lot of amazing researchers that want to do companies and it's like the hardest thing is going to be building the product and then you have all these different other things. So, were you surprised by what has been your experience the most?Lin [00:01:42]: Yeah, to be honest with you, my focus has always been on the product side and then after the product goes to market. And I didn't realize the rest has been so complicated, operating a company and so on. But because I don't think about it, I just kind of manage it. So it's done. I think I just somehow don't think about it too much and solve whatever problem coming our way and it worked.Swyx [00:02:08]: So let's, I guess, let's start at the pre-history, the initial history of Fireworks. You ran the PyTorch team at Meta for a number of years and we previously had Sumit Chintal on and I think we were just all very interested in the history of GenEI. Maybe not that many people know how deeply involved Faire and Meta were prior to the current GenEI revolution.Lin [00:02:35]: My background is deep in distributed system, database management system. And I joined Meta from the data side and I saw this tremendous amount of data growth, which cost a lot of money and we're analyzing what's going on. And it's clear that AI is driving all this data generation. So it's a very interesting time because when I joined Meta, Meta is going through ramping down mobile-first, finishing the mobile-first transition and then starting AI-first. And there's a fundamental reason about that sequence because mobile-first gave a full range of user engagement that has never existed before. And all this user engagement generated a lot of data and this data power AI. So then the whole entire industry is also going through, falling through this same transition. When I see, oh, okay, this AI is powering all this data generation and look at where's our AI stack. There's no software, there's no hardware, there's no people, there's no team. I want to dive up there and help this movement. So when I started, it's very interesting industry landscape. There are a lot of AI frameworks. It's a kind of proliferation of AI frameworks happening in the industry. But all the AI frameworks focus on production and they use a very certain way of defining the graph of neural network and then use that to drive the model iteration and productionization. And PyTorch is completely different. So they could also assume that he was the user of his product. And he basically says, researchers face so much pain using existing AI frameworks, this is really hard to use and I'm going to do something different for myself. And that's the origin story of PyTorch. PyTorch actually started as the framework for researchers. They don't care about production at all. And as they grow in terms of adoption, so the interesting part of AI is research is the top of our normal production. There are so many researchers across academic, across industry, they innovate and they put their results out there in open source and that power the downstream productionization. So it's brilliant for MATA to establish PyTorch as a strategy to drive massive adoption in open source because MATA internally is a PyTorch shop. So it creates a flying wheel effect. So that's kind of a strategy behind PyTorch. But when I took on PyTorch, it's kind of at Caspo, MATA established PyTorch as the framework for both research and production. So no one has done that before. And we have to kind of rethink how to architect PyTorch so we can really sustain production workload, the stability, reliability, low latency, all this production concern was never a concern before. Now it's a concern. And we actually have to adjust its design and make it work for both sides. And that took us five years because MATA has so many AI use cases, all the way from ranking recommendation as powering the business top line or as ranking newsfeed, video ranking to site integrity detect bad content automatically using AI to all kinds of effects, translation, image classification, object detection, all this. And also across AI running on the server side, on mobile phones, on AI VR devices, the wide spectrum. So by the time we actually basically managed to support AI across ubiquitous everywhere across MATA. But interestingly, through open source engagement, we work with a lot of companies. It is clear to us like this industry is starting to take on AI first transition. And of course, MATA's hyperscale always go ahead of industry. And it feels like when we start this AI journey at MATA, there's no software, no hardware, no team. For many companies we engage with through PyTorch, we feel the pain. That's the genesis why we feel like, hey, if we create fireworks and support industry going through this transition, it will be a huge amount of impact. Of course, the problem that the industry is facing will not be the same as MATA. MATA is so big, right? So it's kind of skewed towards extreme scale and extreme optimization in the industry will be different. But we feel like we have the technical chop and we've seen a lot. We'll look to kind of drive that. So yeah, so that's how we started.Swyx [00:06:58]: When you and I chatted about the origins of fireworks, it was originally envisioned more as a PyTorch platform, and then later became much more focused on generative AI. Is that fair to say? What was the customer discovery here?Lin [00:07:13]: Right. So I would say our initial blueprint is we should build a PyTorch cloud because a PyTorch library and there's no SaaS platform to enable AI workloads.Swyx [00:07:26]: Even in 2022, it's interesting.Lin [00:07:28]: I would not say absolutely no, but cloud providers have some of those, but it's not first class citizen, right? At 2022, there's still like TensorFlow is massively in production. And this is all pre-gen AI, and PyTorch is kind of getting more and more adoption. But there's no PyTorch-first SaaS platform existing. At the same time, we are also a very pragmatic set of people. We really want to make sure from the get-go, we get really, really close to customers. We understand their use case, we understand their pain points, we understand the value we deliver to them. So we want to take a different approach instead of building a horizontal PyTorch cloud. We want to build a verticalized platform first. And then we talk with many customers. And interestingly, we started the company in September 2022, and in October, November, the OpenAI announced ChatGPT. And then boom, when we talked with many customers, they were like, can you help us work on the JNS aspect? So of course, there are some open source models. It's not as good at that time, but people are already putting a lot of attention there. Then we decided that if we're going to pick a vertical, we're going to pick JNI. The other reason is all JNI models are PyTorch models. So that's another reason. We believe that because of the nature of JNI, it's going to generate a lot of human consumable content. It will drive a lot of consumer, customer-developer-facing application and product innovation. Guaranteed. We're just at the beginning of this. Our prediction is for those kind of applications, the inference is much more important than training because inference scale is proportional to the up-limit award population. And training scale is proportional to the number of researchers. Of course, each training round could be very expensive. Although PyTorch supports both inference and training, we decided to laser focus on inference. So yeah, so that's how we got started. And we launched our public platform August last year. When we launched, it was a single product. It's a distributed inference engine with a simple API, open AI compatible API with many models. We started with LM and then we added a lot of models. Fast forward to now, we are a full platform with multiple product lines. So we love to kind of dive deep into what we offer. But that's a very fun journey in the past two years.Alessio [00:09:49]: What was the transition from you start to focus on PyTorch and people want to understand the framework, get it live. And now say maybe most people that use you don't even really know much about PyTorch at all. You know, they're just trying to consume a model. From a product perspective, like what were some of the decisions early on? Like right in October, November, you were just like, hey, most people just care about the model, not about the framework. We're going to make it super easy or was it more a gradual transition to the model librarySwyx [00:10:16]: you have today?Lin [00:10:17]: Yeah. So our product decision is all based on who is our ICP. And one thing I want to acknowledge here is the generic technology is disruptive. It's very different from AI before GNI. So it's a clear leap forward. Because before GNI, the companies that want to invest in AI, they have to train from scratch. There's no other way. There's no foundation model. It doesn't exist. So that means then to start a team, first hire a team who is capable of crunch data. There's a lot of data to crunch, right? Because training from scratch, you have to prepare a lot of data. And then they need to have GPUs to train, and then you start to manage GPUs. So then it becomes a very complex project. It takes a long time and not many companies can afford it, actually. And the GNI is a very different game right now, because it is a foundation model. So you don't have to train anymore. That makes AI much more accessible as a technology. As an app developer or product manager, even, not a developer, they can interact with GNI models directly. So our goal is to make AI accessible to all app developers and product engineers. That's our goal. So then getting them into the building model doesn't make any sense anymore with this new technology. And then building easy, accessible APIs is the most important. Early on, when we got started, we decided we're going to be open AI compatible. It's just kind of very easy for developers to adopt this new technology, and we will manage the underlying complexity of serving all these models.Swyx [00:11:56]: Yeah, open AI has become the standard. Even as we're recording today, Gemini announced that they have open AI compatible APIs. Interesting. So we just need to drop it all in line, and then we have everyone popping in line.Lin [00:12:09]: That's interesting, because we are working very closely with Meta as one of the partners. Meta, of course, is kind of very generous to donate many very, very strong open source models, expecting more to come. But also they have announced LamaStack, which is basically standardized, the upper level stack built on top of Lama models. So they don't just want to give out models and you figure out what the upper stack is. They instead want to build a community around the stack and build a new standard. I think there's an interesting dynamics in play in the industry right now, when it's more standardized across open AI, because they are kind of creating the top of the funnel, or standardized across Lama, because this is the most used open source model. So I think it's a lot of fun working at this time.Swyx [00:13:01]: I've been a little bit more doubtful on LamaStack, I think you've been more positive. Basically it's just like the meta version of whatever Hugging Face offers, you know, or TensorRT, or BLM, or whatever the open source opportunity is. But to me, it's not clear that just because Meta open sources Lama, that the rest of LamaStack will be adopted. And it's not clear why I should adopt it. So I don't know if you agree.Lin [00:13:27]: It's very early right now. That's why I kind of work very closely with them and give them feedback. The feedback to the meta team is very important. So then they can use that to continue to improve the model and also improve the higher level I think the success of LamaStack heavily depends on the community adoption. And there's no way around it. And I know the meta team would like to kind of work with a broader set of community. But it's very early.Swyx [00:13:52]: One thing that after your Series B, so you raced for Benchmark, and then Sequoia. I remember being close to you for at least your Series B announcements, you started betting heavily on this term of Compound AI. It's not a term that we've covered very much in the podcast, but I think it's definitely getting a lot of adoption from Databricks and Berkeley people and all that. What's your take on Compound AI? Why is it resonating with people?Lin [00:14:16]: Right. So let me give a little bit of context why we even consider that space.Swyx [00:14:22]: Because like pre-Series B, there was no message, and now it's like on your landing page.Lin [00:14:27]: So it's kind of very organic evolution from when we first launched our public platform, we are a single product. We are a distributed inference engine, where we do a lot of innovation, customized KUDA kernels, raw kernel kernels, running on different kinds of hardware, and build distributed disaggregated execution, inference execution, build all kinds of caching. So that is one. So that's kind of one product line, is the fast, most cost-efficient inference platform. Because we wrote PyTorch code, we know we basically have a special PyTorch build for that, together with a custom kernel we wrote. And then we worked with many more customers, we realized, oh, the distributed inference engine, our design is one size fits all. We want to have this inference endpoint, then everyone come in, and no matter what kind of form and shape or workload they have, it will just work for them. So that's great. But the reality is, we realized all customers have different kinds of use cases. The use cases come in all different forms and shapes. And the end result is the data distribution in their inference workload doesn't align with the data distribution in the training data for the model. It's a given, actually. If you think about it, because researchers have to guesstimate what is important, what's not important in preparing data for training. So because of that misalignment, then we leave a lot of quality, latency, cost improvement on the table. So then we're saying, OK, we want to heavily invest in a customization engine. And we actually announced it called FHIR Optimizer. So FHIR Optimizer basically helps users navigate a three-dimensional optimization space across quality, latency, and cost. So it's a three-dimensional curve. And even for one company, for different use cases, they want to land in different spots. So we automate that process for our customers. It's very simple. You have your inference workload. You inject into the optimizer along with the objective function. And then we spit out inference deployment config and the model setup. So it's your customized setup. So that is a completely different product. So that product thinking is one size fits all. And now on top of that, we provide a huge variety of state-of-the-art models, hundreds of them, varying from text to large state-of-the-art English models. That's where we started. And as we talk with many customers, we realize, oh, audio and text are very, very close. Many of our customers start to build assistants, all kinds of assistants using text. And they immediately want to add audio, audio in, audio out. So we support transcription, translation, speech synthesis, text, audio alignment, all different kinds of audio features. It's a big announcement. You should have heard by the time this is out. And the other areas of vision and text are very close with each other. Because a lot of information doesn't live in plain text. A lot of information lives in multimedia format, images, PDFs, screenshots, and many other different formats. So oftentimes to solve a problem, we need to put the vision model first to extract information and then use language model to process and then send out results. So vision is important. We also support vision model, various different kinds of vision models specialized in processing different kinds of source and extraction. And we're also going to have another announcement of a new API endpoint we'll support for people to upload various different kinds of multimedia content and then get the extract very accurate information out and feed that into LM. And of course, we support embedding because embedding is very important for semantic search, for RAG, and all this. And in addition to that, we also support text-to-image, image generation models, text-to-image, image-to-image, and we're adding text-to-video as well in our portfolio. So it's a very comprehensive set of model catalog that built on top of File Optimizer and Distributed Inference Engine. But then we talk with more customers, they solve business use case, and then we realize one model is not sufficient to solve their problem. And it's very clear because one is the model hallucinates. Many customers, when they onboard this JNI journey, they thought this is magical. JNI is going to solve all my problems magically. But then they realize, oh, this model hallucinates. It hallucinates because it's not deterministic, it's probabilistic. So it's designed to always give you an answer, but based on probabilities, so it hallucinates. And that's actually sometimes a feature for creative writing, for example. Sometimes it's a bug because, hey, you don't want to give misinformation. And different models also have different specialties. To solve a problem, you want to ask different special models to kind of decompose your task into multiple small tasks, narrow tasks, and then have an expert model solve that task really well. And of course, the model doesn't have all the information. It has limited knowledge because the training data is finite, not infinite. So the model oftentimes doesn't have real-time information. It doesn't know any proprietary information within the enterprise. It's clear that in order to really build a compiling application on top of JNI, we need a compound AI system. Compound AI system basically is going to have multiple models across modalities, along with APIs, whether it's public APIs, internal proprietary APIs, storage systems, database systems, knowledge to work together to deliver the best answer.Swyx [00:20:07]: Are you going to offer a vector database?Lin [00:20:09]: We actually heavily partner with several big vector database providers. Which is your favorite? They are all great in different ways. But it's public information, like MongoDB is our investor. And we have been working closely with them for a while.Alessio [00:20:26]: When you say distributed inference engine, what do you mean exactly? Because when I hear your explanation, it's almost like you're centralizing a lot of the decisions through the Fireworks platform on the quality and whatnot. What do you mean distributed? It's like you have GPUs in a lot of different clusters, so you're sharding the inference across the same model.Lin [00:20:45]: So first of all, we run across multiple GPUs. But the way we distribute across multiple GPUs is unique. We don't distribute the whole model monolithically across multiple GPUs. We chop them into pieces and scale them completely differently based on what's the bottleneck. We also are distributed across regions. We have been running in North America, EMEA, and Asia. We have regional affinity to applications because latency is extremely important. We are also doing global load balancing because a lot of applications there, they quickly scale to global population. And then at that scale, different content wakes up at a different time. And you want to kind of load balancing across. So all the way, and we also have, we manage various different kinds of hardware skew from different hardware vendors. And different hardware design is best for different types of workload, whether it's long context, short context, long generation. So all these different types of workload is best fitted for different kinds of hardware skew. And then we can even distribute across different hardware for a workload. So the distribution actually is all around in the full stack.Swyx [00:22:02]: At some point, we'll show on the YouTube, the image that Ray, I think, has been working on with all the different modalities that you offer. To me, it's basically you offer the open source version of everything that OpenAI typically offers. I don't think there is. Actually, if you do text to video, you will be a superset of what OpenAI offers because they don't have Sora. Is that Mochi, by the way? Mochi. Mochi, right?Lin [00:22:27]: Mochi. And there are a few others. I will say, the interesting thing is, I think we're betting on the open source community is going to proliferate. This is literally what we're seeing. And there's amazing video generation companies. There is amazing audio companies. Like cross-border, the innovation is off the chart, and we are building on top of that. I think that's the advantage we have compared with a closed source company.Swyx [00:22:58]: I think I want to restate the value proposition of Fireworks for people who are comparing you versus a raw GPU provider like a RunPod or Lambda or anything like those, which is like you create the developer experience layer and you also make it easily scalable or serverless or as an endpoint. And then, I think for some models, you have custom kernels, but not all models.Lin [00:23:25]: Almost for all models. For all large language models, all your models, and the VRMs. Almost for all models we serve.Swyx [00:23:35]: And so that is called Fire Attention. I don't remember the speed numbers, but apparently much better than VLM, especially on a concurrency basis.Lin [00:23:44]: So Fire Attention is specific mostly for language models, but for other modalities, we'll also have a customized kernel.Swyx [00:23:51]: And I think the typical challenge for people is understanding that has value, and then there are other people who are also offering open-source models. Your mode is your ability to offer a good experience for all these customers. But if your existence is entirely reliant on people releasing nice open-source models, other people can also do the same thing.Lin [00:24:14]: So I would say we build on top of open-source model foundation. So that's the kind of foundation we build on top of. But we look at the value prop from the lens of application developers and product engineers. So they want to create new UX. So what's happening in the industry right now is people are thinking about a completely new way of designing products. And I'm talking to so many founders, it's just mind-blowing. They help me understand existing way of doing PowerPoint, existing way of coding, existing way of managing customer service. It's actually putting a box in our head. For example, PowerPoint. So PowerPoint generation is we always need to think about how to fit into my storytelling into this format of slide one after another. And I'm going to juggle through design together with what story to tell. But the most important thing is what's our storytelling lines, right? And why don't we create a space that is not limited to any format? And those kind of new product UX design combined with automated content generation through Gen AI is the new thing that many founders are doing. What are the challenges they're facing? Let's go from there. One is, again, because a lot of products built on top of Gen AI, they are consumer-personal developer facing, and they require interactive experience. It's just a kind of product experience we all get used to. And our desire is to actually get faster and faster interaction. Otherwise, nobody wants to spend time, right? And then that requires low latency. And the other thing is the nature of consumer-personal developer facing is your audience is very big. You want to scale up to product market fit quickly. But if you lose money at a small scale, you're going to bankrupt quickly. So it's actually a big contrast. I actually have product market fit, but when I scale, I scale out of my business. So that's kind of a very funny way to think about it. So then having low latency and low cost is essential for those new applications and products to survive and really become a generation company. So that's the design point for our distributed inference engine and the file optimizer. File optimizer, you can think about that as a feedback loop. The more you feed your inference workload to our inference engine, the more we help you improve quality, lower latency further, lower your cost. It basically becomes better. And we automate that because we don't want you as an app developer or product engineer to think about how to figure out all these low-level details. It's impossible because you're not trained to do that at all. You should kind of keep your focus on the product innovation. And then the compound AI, we actually feel a lot of pain as the app developers, engineers, there are so many models. Every week, there's at least a new model coming out.Swyx [00:27:09]: Tencent had a giant model this week. Yeah, yeah.Lin [00:27:13]: I saw that. I saw that.Swyx [00:27:15]: It's like $500 billion.Lin [00:27:18]: So they're like, should I keep chasing this or should I forget about it? And which model should I pick to solve what kind of sub-problem? How do I even decompose my problem into those smaller problems and fit the model into it? I have no idea. And then there are two ways to think about this design. I think I talked about that in the past. One is imperative, as in you figure out how to do it. You give developer tools to dictate how to do it. Or you build a declarative system where a developer tells what they want to do, not how. So these are completely two different designs. So the analogy I want to draw is, in the data world, the database management system is a declarative system because people use database, use SQL. SQL is a way you say, what do you want to extract out of a database? What kind of result do you want? But you don't figure out which node is going to, how many nodes you're going to run on top of, how you redefine your disk, which index you use, which project. You don't need to worry about any of those. And database management system will figure out, generate a new best plan, and execute on that. So database is declarative. And it makes it super easy. You just learn SQL, which is learn a semantic meaning of SQL, and you can use it. Imperative side is there are a lot of ETL pipelines. And people design this DAG system with triggers, with actions, and you dictate exactly what to do. And if it fails, then how to recover. So that's an imperative system. We have seen a range of systems in the ecosystem go different ways. I think there's value of both. There's value of both. I don't think one is going to subsume the other. But we are leaning more into the philosophy of the declarative system. Because from the lens of app developer and product engineer, that would be easiest for them to integrate.Swyx [00:29:07]: I understand that's also why PyTorch won as well, right? This is one of the reasons. Ease of use.Lin [00:29:14]: Focus on ease of use, and then let the system take on the hard challenges and complexities. So we follow, we extend that thinking into current system design. So another announcement is we will also announce our next declarative system is going to appear as a model that has extremely high quality. And this model is inspired by Owen's announcement for OpenAI. You should see that by the time we announce this or soon.Alessio [00:29:46]: Trained by you.Lin [00:29:47]: Yes.Alessio [00:29:48]: Is this the first model that you trained? It's not the first.Lin [00:29:52]: We actually have trained a model called FireFunction. It's a function calling model. It's our first step into compound AI system. Because function calling model can dispatch a request into multiple APIs. We have pre-baked set of APIs the model learned. You can also add additional APIs through the configuration to let model dispatch accordingly. So we have a very high quality function calling model that's already released. We have actually three versions. The latest version is very high quality. But now we take a further step that you don't even need to use function calling model. You use our new model we're going to release. It will solve a lot of problems approaching very high OpenAI quality. So I'm very excited about that.Swyx [00:30:41]: Do you have any benchmarks yet?Lin [00:30:43]: We have a benchmark. We're going to release it hopefully next week. We just put our model to LMSYS and people are guessing. Is this the next Gemini model or a MADIS model? People are guessing. That's very interesting. We're watching the Reddit discussion right now.Swyx [00:31:00]: I have to ask more questions about this. When OpenAI released o1, a lot of people asked about whether or not it's a single model or whether it's a chain of models. Noam and basically everyone on the Strawberry team was very insistent that what they did for reinforcement learning, chain of thought, cannot be replicated by a whole bunch of open source model calls. Do you think that that is wrong? Have you done the same amount of work on RL as they have or was it a different direction?Lin [00:31:29]: I think they take a very specific approach where the caliber of team is very high. So I do think they are the domain expert in doing the things they are doing. I don't think there's only one way to achieve the same goal. We're on the same direction in the sense that the quality scaling law is shifting from training to inference. For that, I fully agree with them. But we're taking a completely different approach to the problem. All of that is because, of course, we didn't train the model from scratch. All of that is because we built on the show of giants. The current model available we have access to is getting better and better. The future trend is the gap between the open source model and the co-source model. It's just going to shrink to the point there's not much difference. And then we're on the same level field. That's why I think our early investment in inference and all the work we do around balancing across quality, latency, and cost pay off because we have accumulated a lot of experience and that empowers us to release this new model that is approaching open-ended quality.Alessio [00:32:39]: I guess the question is, what do you think the gap to catch up will be? Because I think everybody agrees with open source models eventually will catch up. And I think with 4, then with Lama 3.2, 3.1, 4.5b, we close the gap. And then 0.1 just reopened the gap so much and it's unclear. Obviously, you're saying your model will have...Swyx [00:32:57]: We're closing that gap.Alessio [00:32:58]: But you think in the future, it's going to be months?Lin [00:33:02]: So here's the thing that's happened. There's public benchmark. It is what it is. But in reality, open source models in certain dimensions are already on par or beat closed source models. So for example, in the coding space, open source models are really, really good. And in function calling, file function is also really, really good. So it's all a matter of whether you build one model to solve all the problems and you want to be the best of solving all the problems, or in the open source domain, it's going to specialize. All these different model builders specialize in certain narrow area. And it's logical that they can be really, really good in that very narrow area. And that's our prediction is with specialization, there will be a lot of expert models really, really good and even better than one-size-fits-all closed source models.Swyx [00:33:55]: I think this is the core debate that I am still not 100% either way on in terms of compound AI versus normal AI. Because you're basically fighting the bitter lesson.Lin [00:34:09]: Look at the human society, right? We specialize. And you feel really good about someone specializing doing something really well, right? And that's how our way evolved from ancient times. We're all journalists. We do everything. Now we heavily specialize in different domains. So my prediction is in the AI model space, it will happen also. Except for the bitter lesson.Swyx [00:34:30]: You get short-term gains by having specialists, domain specialists, and then someone just needs to train like a 10x bigger model on 10x more inference, 10x more data, 10x more model perhaps, whatever the current scaling law is. And then it supersedes all the individual models because of some generalized intelligence slash world knowledge. I think that is the core insight of the GPTs, the GPT-123 networks. Right.Lin [00:34:56]: But the training scaling law is because you have an increasing amount of data to train from. And you can do a lot of compute. So I think on the data side, we're approaching the limit. And the only data to increase that is synthetic generated data. And then there's like what is the secret sauce there, right? Because if you have a very good large model, you can generate very good synthetic data and then continue to improve quality. So that's why I think in OpenAI, they are shifting from the training scaling law intoSwyx [00:35:25]: inference scaling law.Lin [00:35:25]: And it's the test time and all this. So I definitely believe that's the future direction. And that's where we are really good at, doing inference.Swyx [00:35:34]: A couple of questions on that. Are you planning to share your reasoning choices?Lin [00:35:39]: That's a very good question. We are still debating.Swyx [00:35:43]: Yeah.Lin [00:35:45]: We're still debating.Swyx [00:35:46]: I would say, for example, it's interesting that, for example, SweetBench. If you want to be considered for ranking, you have to submit your reasoning choices. And that has actually disqualified some of our past guests. Cosign was doing well on SweetBench, but they didn't want to leak those results. So that's why you don't see O1 preview on SweetBench, because they don't submit their reasoning choices. And obviously, it's IP. But also, if you're going to be more open, then that's one way to be more open. So your model is not going to be open source, right? It's going to be an endpoint that you provide. Okay, cool. And then pricing, also the same as OpenAI, just kind of based on...Lin [00:36:25]: Yeah, this is... I don't have, actually, information. Everything is going so fast, we haven't even thought about that yet. Yeah, I should be more prepared.Swyx [00:36:33]: I mean, this is live. You know, it's nice to just talk about it as it goes live. Any other things that you want feedback on or you're thinking through? It's kind of nice to just talk about something when it's not decided yet. About this new model. It's going to be exciting. It's going to generate a lot of buzz. Right.Lin [00:36:51]: I'm very excited to see how people are going to use this model. So there's already a Reddit discussion about it. And people are asking very deep, mathematical questions. And since the model got it right, surprising. And internally, we're also asking the model to generate what is AGI. And it generates a very complicated DAG thinking process. So we're having a lot of fun testing this internally. But I'm more curious, how will people use it? What kind of application they're going to try and test on it? And that's where we really like to hear feedback from the community. And also feedback to us. What works out well? What doesn't work out well? What works out well, but surprising them? And what kind of thing they think we should improve on? And those kind of feedback will be tremendously helpful.Swyx [00:37:44]: Yeah. So I've been a production user of Preview and Mini since launch. I would say they're very, very obvious jobs in quality. So much so that they made clods on it. And they made the previous state-of-the-art look bad. It's really that stark, that difference. The number one thing, just feedback or feature requests, is people want control on the budget. Because right now, in 0.1, it kind of decides its own thinking budget. But sometimes you know how hard the problem is. And you want to actually tell the model, spend two minutes on this. Or spend some dollar amount. Maybe it's time you miss dollars. I don't know what the budget is. That makes a lot of sense.Lin [00:38:27]: So we actually thought about that requirement. And it should be, at some point, we need to support that. Not initially. But that makes a lot of sense.Swyx [00:38:38]: Okay. So that was a fascinating overview of just the things that you're working on. First of all, I realized that... I don't know if I've ever given you this feedback. But I think you guys are one of the reasons I agreed to advise you. Because I think when you first met me, I was kind of dubious. I was like... Who are you? There's Replicate. There's Together. There's Laptop. There's a whole bunch of other players. You're in very, very competitive fields. Like, why will you win? And the reason I actually changed my mind was I saw you guys shipping. I think your surface area is very big. The team is not that big. No. We're only 40 people. Yeah. And now here you are trying to compete with OpenAI and everyone else. What is the secret?Lin [00:39:21]: I think the team. The team is the secret.Swyx [00:39:23]: Oh boy. So there's no thing I can just copy. You just... No.Lin [00:39:30]: I think we all come from a very aligned culture. Because most of our team came from meta.Swyx [00:39:38]: Yeah.Lin [00:39:38]: And many startups. So we really believe in results. One is result. And second is customer. We're very customer obsessed. And we don't want to drive adoption for the sake of adoption. We really want to make sure we understand we are delivering a lot of business values to the customer. And we really value their feedback. So we would wake up midnight and deploy some model for them. Shuffle some capacity for them. And yeah, over the weekend, no brainer.Swyx [00:40:15]: So yeah.Lin [00:40:15]: So that's just how we work as a team. And the caliber of the team is really, really high as well. So as plug-in, we're hiring. We're expanding very, very fast. So if we are passionate about working on the most cutting-edge technology in the general space, come talk with us. Yeah.Swyx [00:40:38]: Let's talk a little bit about that customer journey. I think one of your more famous customers is Cursor. We were the first podcast to have Cursor on. And then obviously since then, they have blown up. Cause and effect are not related. But you guys especially worked on a fast supply model where you were one of the first people to work on speculative decoding in a production setting. Maybe just talk about what was the behind the scenes of working with Cursor?Lin [00:41:03]: I will say Cursor is a very, very unique team. I think the unique part is the team has very high technical caliber. There's no question about it. But they have decided, although many companies building coding co-pilot, they will say, I'm going to build a whole entire stack because I can. And they are unique in the sense they seek partnership. Not because they cannot. They're fully capable, but they know where to focus. That to me is amazing. And of course, they want to find a bypass partner. So we spent some time working together. They are pushing us very aggressively because for them to deliver high caliber product experience, they need the latency. They need the interactive, but also high quality at the same time. So actually, we expanded our product feature quite a lot as we support Cursor. And they are growing so fast. And we massively scaled quickly across multiple regions. And we developed a pretty high intense inference stack, almost like similar to what we do for Meta. I think that's a very, very interesting engagement. And through that, there's a lot of trust being built. They realize, hey, this is a team they can really partner with. And they can go big with. That comes back to, hey, we're really customer obsessed. And all the engineers working with them, there's just enormous amount of time syncing together with them and discussing. And we're not big on meetings, but we are like stack channel always on. Yeah, so you almost feel like working as one team. So I think that's really highlighted.Swyx [00:42:38]: Yeah. For those who don't know, so basically Cursor is a VS Code fork. But most of the time, people will be using closed models. Like I actually use a lot of SONET. So you're not involved there, right? It's not like you host SONET or you have any partnership with it. You're involved where Cursor is small, or like their house brand models are concerned, right?Lin [00:42:58]: I don't know what I can say, but the things they haven't said.Swyx [00:43:04]: Very obviously, the drop down is 4.0, but in Cursor, right? So I assume that the Cursor side is the Fireworks side. And then the other side, they're calling out the other. Just kind of curious. And then, do you see any more opportunity on the... You know, I think you made a big splash with 1,000 tokens per second. That was because of speculative decoding. Is there more to push there?Lin [00:43:25]: We push a lot. Actually, when I mentioned Fire Optimizer, right? So as in, we have a unique automation stack that is one size fits one. We actually deployed to Cursor earlier on. Basically optimized for their specific workload. And that's a lot of juice to extract out of there. And we see success in that product. It actually can be widely adopted. So that's why we started a separate product line called Fire Optimizer. So speculative decoding is just one approach. And speculative decoding here is not static. We actually wrote a blog post about it. There's so many different ways to do speculative decoding. You can pair a small model with a large model in the same model family. Or you can have equal pads and so on. There are different trade-offs which approach you take. It really depends on your workload. And then with your workload, we can align the Eagle heads or Medusa heads or a small big model pair much better to extract the best latency reduction. So all of that is part of the Fire Optimizer offering.Alessio [00:44:23]: I know you mentioned some of the other inference providers. I think the other question that people always have is around benchmarks. So you get different performance on different platforms. How should people think about... People are like, hey, Lama 3.2 is X on MMLU. But maybe using speculative decoding, you go down a different path. Maybe some providers run a quantized model. How should people think about how much they should care about how you're actually running the model? What's the delta between all the magic that you do and what a raw model...Lin [00:44:57]: Okay, so there are two big development cycles. One is experimentation, where they need fast iteration. They don't want to think about quality, and they just want to experiment with product experience and so on. So that's one. And then it looks good, and they want to post-product market with scaling. And the quality is really important. And latency and all the other things are becoming important. During the experimentation phase, it's just pick a good model. Don't worry about anything else. Make sure you even generate the right solution to your product. And that's the focus. And then post-product market fit, then that's kind of the three-dimensional optimization curve start to kick in across quality, latency, cost, where you should land. And to me, it's purely a product decision. To many products, if you choose a lower quality, but better speed and lower cost, but it doesn't make a difference to the product experience, then you should do it. So that's why I think inference is part of the validation. The validation doesn't stop at offline eval. The validation will go through A-B testing, through inference. And that's where we offer various different configurations for you to test which is the best setting. So this is the traditional product evaluation. So product evaluation should also include your new model versions and different model setup into the consideration.Swyx [00:46:22]: I want to specifically talk about what happens a few months ago with some of your major competitors. I mean, all of this is public. What is your take on what happens? And maybe you want to set the record straight on how Fireworks does quantization because I think a lot of people may have outdated perceptions or they didn't read the clarification post on your approach to quantization.Lin [00:46:44]: First of all, it's always a surprise to us that without any notice, we got called out.Swyx [00:46:51]: Specifically by name, which is normally not what...Lin [00:46:54]: Yeah, in a public post. And have certain interpretation of our quality. So I was really surprised. And it's not a good way to compete, right? We want to compete fairly. And oftentimes when one vendor gives out results, the interpretation of another vendor is always extremely biased. So we actually refrain ourselves to do any of those. And we happily partner with third parties to do the most fair evaluation. So we're very surprised. And we don't think that's a good way to figure out the competition landscape. So then we react. I think when it comes to quantization, the interpretation, we wrote actually a very thorough blog post. Because again, no one says it's all. We have various different quantization schemes. We can quantize very different parts of the model from ways to activation to cross-TPU communication. They can use different quantization schemes or consistent across the board. And again, it's a trade-off. It's a trade-off across this three-dimensional quality, latency, and cost. And for our customer, we actually let them find the best optimized point. And we have a very thorough evaluation process to pick that point. But for self-serve, there's only one point to pick. There's no customization available. So of course, it depends on what we talk with many customers. We have to pick one point. And I think the end result, like AA published, later on AA published a quality measure. And we actually looked really good. So that's why what I mean is, I will leave the evaluation of quality or performance to third party and work with them to find the most fair benchmark. And I think that's a good approach, a methodology. But I'm not a part of an approach of calling out specific namesSwyx [00:48:55]: and critique other competitors in a very biased way. Databases happens as well. I think you're the more politically correct one. And then Dima is the more... Something like this. It's you on Twitter.Lin [00:49:11]: It's like the Russian... We partner. We play different roles.Swyx [00:49:20]: Another one that I wanted to... I'm just the last one on the competition side. There's a perception of price wars in hosting open source models. And we talked about the competitiveness in the market. Do you aim to make margin on open source models? Oh, absolutely, yes.Lin [00:49:38]: So, but I think it really... When we think about pricing, it's really need to coordinate with the value we're delivering. If the value is limited, or there are a lot of people delivering the same value, there's no differentiation. There's only one way to go. It's going down. So through competition. If I take a big step back, there is pricing from... We're more compared with close model providers, APIs, right? The close model provider, their cost structure is even more interesting because we don't bear any training costs. And we focus on inference optimization, and that's kind of where we continue to add a lot of product value. So that's how we think about product. But for the close source API provider, model provider, they bear a lot of training costs. And they need to amortize the training costs into the inference. So that created very interesting dynamics of, yeah, if we match pricing there, and I think how they are going to make money is very, very interesting.Swyx [00:50:37]: So for listeners, opening eyes 2024, $4 billion in revenue, $3 billion in compute training, $2 billion in compute inference, $1 billion in research compute amortization, and $700 million in salaries. So that is like...Swyx [00:50:59]: I mean, a lot of R&D.Lin [00:51:01]: Yeah, so I think matter is basically like, make it zero. So that's a very, very interesting dynamics we're operating within. But coming back to inference, so we are, again, as I mentioned, our product is, we are a platform. We're not just a single model as a service provider as many other inference providers, like they're providing a single model. We have our optimizer to highly customize towards your inference workload. We have a compound AI system where significantly simplify your interaction to high quality and low latency, low cost. So those are all very different from other providers.Alessio [00:51:38]: What do people not know about the work that you do? I guess like people are like, okay, Fireworks, you run model very quickly. You have the function model. Is there any kind of like underrated part of Fireworks that more people should try?Lin [00:51:51]: Yeah, actually, one user post on x.com, he mentioned, oh, actually, Fireworks can allow me to upload the LoRa adapter to the service model at the same cost and use it at same cost. Nobody has provided that. That's because we have a very special, like we rolled out multi-LoRa last year, actually. And we actually have this function for a long time. And many people has been using it, but it's not well known that, oh, if you find your model, you don't need to use on demand. If you find your model is LoRa, you can upload your LoRa adapter and we deploy it as if it's a new model. And then you use, you get your endpoint and you can use that directly, but at the same cost as the base model. So I'm happy that user is marketing it for us. He discovered that feature, but we have that for last year. So I think to feedback to me is, we have a lot of very, very good features, as Sean just mentioned. I'm the advisor to the company,Swyx [00:52:57]: and I didn't know that you had speculative decoding released.Lin [00:53:02]: We have prompt catching way back last year also. We have many, yeah. So I think that is one of the underrated feature. And if they're developers, you are using our self-serve platform, please try it out.Swyx [00:53:16]: The LoRa thing is interesting because I think you also, the reason people add additional costs to it, it's not because they feel like charging people. Normally in normal LoRa serving setups, there is a cost to dedicating, loading those weights and dedicating a machine to that inference. How come you can't avoid it?Lin [00:53:36]: Yeah, so this is kind of our technique called multi-LoRa. So we basically have many LoRa adapters share the same base model. And basically we significantly reduce the memory footprint of serving. And the one base model can sustain a hundred to a thousand LoRa adapters. And then basically all these different LoRa adapters can share the same, like direct the same traffic to the same base model where base model is dominating the cost. So that's how we advertise that way. And that's how we can manage the tokens per dollar, million token pricing, the same as base model.Swyx [00:54:13]: Awesome. Is there anything that you think you want to request from the community or you're looking for model-wise or tooling-wise that you think like someone should be working on in this?Lin [00:54:23]: Yeah, so we really want to get a lot of feedback from the application developers who are starting to build on JNN or on the already adopted or starting about thinking about new use cases and so on to try out Fireworks first. And let us know what works out really well for you and what is your wishlist and what sucks, right? So what is not working out for you and we would like to continue to improve. And for our new product launches, typically we want to launch to a small group of people. Usually we launch on our Discord first to have a set of people use that first. So please join our Discord channel. We have a lot of communication going on there. Again, you can also give us feedback. We'll have a starting office hour for you to directly talk with our DevRel and engineers to exchange more long notes.Alessio [00:55:17]: And you're hiring across the board?Lin [00:55:18]: We're hiring across the board. We're hiring front-end engineers, infrastructure cloud, infrastructure engineers, back-end system optimization engineers, applied researchers, like researchers who have done post-training, who have done a lot of fine-tuning and so on.Swyx [00:55:34]: That's it. Thank you. Thanks for having us. Get full access to Latent Space at www.latent.space/subscribe
"Obrazovni sistem mora se prilagoditi vremenima." Gošća Ivana Minića u 283. epizodi Pojačala je Nataša Micić. Nataša je po zvanju i obrazovanju profesorka srpskog jezika i književnosti koja ima preko 20 godina iskustva u radu sa decom. U razgovoru sa Ivanom, Nataša će nam preneti svoja iskustva iz godina rada u formalnom obrazovanju, kao i razloge zbog kojih je uvidela da je našem sistemu edukacije potrebna duboka transformacija koja će dati više slobode i deci i nastavnicima. Nataša će nam takođe više reći o zajednici koju gradi oko te ideje, kao i projektima Skool i Jedrenjak kroz koje se trudi da edukuje roditelje o značaju kreativnog i inovativnog učenja, a deci ponudi radionice i kurseve koji ih uče ne samo gradivu već i važnim veštinama učenja. Učionica budućnosti: https://www.skool.com/ucionica-buducnosti/ Teme u epizodi: - Uvod - Početak razgovora - Kad porastem biću - Kuda na faks? - Posle fakulteta - Drugačija vremena - Šta me motiviše - Neophodne promene - Šta sa nadarenom decom? - Platforma Skool Podržite nas na BuyMeACoffee: https://bit.ly/3uSBmoa Pročitajte transkript ove epizode: https://bit.ly/3z6uZVR Posetite naš sajt i prijavite se na našu mailing listu: http://bit.ly/2LUKSBG Prijavite se na naš YouTube kanal: http://bit.ly/2Rgnu7o Pratite Pojačalo na društvenim mrežama: Facebook: http://bit.ly/2FfwqCR Twitter: http://bit.ly/2CVZoGr Instagram: http://bit.ly/2RzGHjN
Born and raised in Zimbabwe, Kudakwashe Makoni, aka Chef Kuda, raised in the kitchen by his grandmother who he says spoiled him. At 19, his family moved the U.S. settling in Texas where he went to school and began to pursue a career in industries other than food. But it wasn't long before food came calling and after going to culinary school and moving back to Zimbabwe to continue honing his skills and techniques in African cuisine, The Black Chef as he is known was born. Now living in Ghana with pursuits around the world, Chef Kuda details his journey from cooking in his homeland of Zimbabwe to now making sure the world knows the essence of and enjoys Zimbabwean cuisine. Listen and Connect Website Instagram Facebook Diaspora Food Stories is produced by The Global Food and Drink Initiative, a 501c3 nonprofit. Together with your generous donation we can continue to preserve the oral history and culture of Black food and drink stories both in English and other languages spoken throughout the African diaspora. To donate, visit globalforgood.org. Website: Diaspora Food Stories Episode Sponsors Tea's Me Hayti
There are millions of Moniepoint point-of-sale terminals in use across Nigeria. These point-of-sale devices power Nigeria's offline economy, and while there are many competitors in this space, Moniepoint appears to beating them all. How did they do it? How did Moniepoint grow so quickly? And why has it become the preferred choice for agents and merchants across Nigeria?In this episode, we hit the streets of Lagos with Ezekiel Sanni, Moniepoint's Senior Vice President of Distribution Network Sales.Moniepoint has been recognized as Africa's fastest-growing fintech by the Financial Times in 2023 and 2024. Last year, they processed over $182 billion in payments. Moniepoint (formerly TeamApt) was founded by Tosin Eniolorunda in 2015. 00:00 - Moniepoint is winning Nigeria's fintech battle01:28 - What do agents want?02:19 - Nigeria's banking challenges03:34 - Moniepoint's business banking strategy04:49 - Moniepoint's distribution strategyCheck out our roundtable conversation with Monieponit's CEO, Tosin Eniolorunda, Kuda's Babs Ogundeyi, and FairMoney's Laurin Hainy - https://theflip.africa/podcast/nigerian-neobank-roundtable-moniepoint-kuda-fairmoney Our Links -
One of the African tech ecosystem's largest exits was the 2020 sale of Sendwave to WorldRemit for $500 million. Sid Sridhar was Sendwave's Head of Business at the time, and in this episode, Sid shares his M&A lessons for the African tech ecosystem.Sid is now the Head of Business at Wave, the mobile money company spun out of Sendwave that's competing head-on with the telcos in Francophone West Africa. Wave raised a $200 million Series A in 2021, valuing the company at $1.7 billion. 00:00 - Introduction01:32 - Every deal is different02:16 - Know the business model that you're building for02:40 - Companies get bought not sold03:41 - How to qualify a deal04:53 - Be smart & strategic with information05:31 - Be transparent06:24 - Stay close to potential buyers07:39 - Alignment with investorsFollow Sid on TwitterCheck out other episodes from the Fintech in Africa Summit:Nigerian Neobank Roundtable: Moniepoint, Kuda, FairMoneyWhy Are Cross-Border Payments So Hard?Tackling Africa's $330 Billion Credit GapOur Links -
There is a $330 billion credit gap, according to the IFC. But why is it so hard to lend in African markets? We explore that question with Chijioke Dozie, Co-founder and CEO of Carbon, and Mark Straub, CEO of Smile Identity.This episode was recorded live from the FT Partners Fintech in Africa Summit in New York City. Download their FinTech in Africa research report, published in March 2024.00:00 - Introduction01:36 - The credit infrastructure problems in Africa02:28 - Carbon's approach to lending03:51 - SmileID's perspective on credit infrastructure08:10 - Ability to pay vs. willingness to pay10:06 - Private sector solutions17:36 - The challenges of scaling lending without infrastructureFollow Chijioke on Twitter.Follow Mark on Twitter.This episode was the third in our series of interviews recorded live from the Fintech in Africa Summit.Nigerian Neobanks with Moniepoint's Tosin Eniolorunda, Kuda's Babs Ogundeyi & Fairmoney's Laurin Hainy: https://theflip.africa/podcast/nigerian-neobank-roundtable-moniepoint-kuda-fairmoneyCross-Border Payments with NALA's Benjamin Fernandes & GTXN's Dan Kleinbaum: https://theflip.africa/podcast/why-are-cross-border-payments-so-hardOur Links -
In this episode, we're joined in a panel conversation with the CEOs of three of Nigeria's biggest digital banks: Moniepoint's Tosin Eniolorunda, Kuda's Babs Ogundeyi, and FairMoney's Laurin Hainy.This episode was recorded live from the FT Partners Fintech in Africa Summit in New York City. Download their FinTech in Africa research report, published in March 2024.00:00 - Intro01:18 - Moniepoint's distribution-first strategy02:45 - FairMoney's credit-led approach04:46 - Kuda's neobank strategy06:48 - Banks, product, competition, expansion25:45 - Growth, VC returns33:56 - What does success look like?Our Links -
Welcome to Country Tough with Brandy Von Holten. Meet female cattle rancher, Gina Kuda. Her passion is with the Limousin breed. Gina offers bull and replacement heifers. She also goes above and beyond to increase safety by halter breaking most of the bulls she sells. You are going to love this down-to-Earth, knowledgeable, hardworking cowgirl. Her website is www.kudalimousinranch.com
Thanks for listening! Host, Nani NRIPelliGola Podcast https://www.instagram.com/nripelligola/ https://www.instagram.com/jabili.dilip/ Disclaimer: The content of this podcast episode includes discussions about personal experiences. The stories shared are based on the personal perspectives of the individuals who are bravely sharing their journeys. The views and opinions expressed in these stories are solely those of the individuals sharing them and do not reflect the views of the podcast host, production team, or any affiliated individuals or organizations. It's important to understand that the experiences shared here are deeply personal and may not apply to everyone's situation. The purpose of discussing these topics is to create a platform for open conversations, increase awareness, and promote understanding. If you or someone you know is in need of support or assistance related to abuse or divorce, it's crucial to seek help from professionals or appropriate resources in your area. The content provided in this episode is not intended as a substitute for professional advice or counseling. Names and identifying details may have been changed to protect the privacy and confidentiality of individuals mentioned in the stories. Any resemblance to actual persons, living or dead, is purely coincidental. By listening to this podcast, you agree that the host, production team, and platform are not responsible for any actions you take or decisions you make based on the content of this episode. We appreciate your understanding and empathy as we explore these important topics. Our intention is to foster awareness, empathy, and support within our diverse audience. If you or someone you know is experiencing abuse, please seek help immediately. For legal advice regarding abuse or related matters, consult with a qualified legal professional in your jurisdiction. Thank you for being a part of these conversations and for respecting the sensitivity of the topics discussed. Host, Nani NRIPelliGola Podcast https://www.instagram.com/nripelligola/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/nripelligolashow/message
About AmandaAmanda is an alcohol-free lifestyle expert. She's a holistic life coach, speaker and author living, working and playing in Austin, TX. As a coach, Amanda helps ambitious, soul-centered women stop drinking and start manifesting the life they deserve and desire.She teaches a modern approach to personal development, self-actualization and spiritual enlightenment through the lens of elective sobriety. Amanda's first book, Unbottled Potential: Break Up With Alcohol And Break Through To Your Best Life is out now (Penguin Random House / Avery) is available now wherever books are sold.Her work has been featured on CNN, Business Insider, and The Skimm.Connect with AmandaWebsite:https://amandakuda.com/Books:Unbottled PotentialSocial Media:Instagram: https://www.instagram.com/amandakuda/TikTok: https://www.tiktok.com/@amanda.kudaFacebook: https://www.facebook.com/amandakudaLinkedIn: https://www.linkedin.com/in/amandakuda/Finally, be sure to SUBSCRIBE to the podcast and SHARE! Make sure you don't miss a thing by subscribing on your favorite podcast platform and share so that all your friends can find us too! Connect with ErinIG @erincucciowww.erincuccio.comOrder Unraveled- Finding the Lovely When Life Comes Undonebook.erincuccio.comJoin my COMMUNITY https://hello.erincuccio.com/ You'll receive exclusive content right to your mobile device, and the best part is it's FREE.
In this episode, Kristen talks with Amanda Kuda, an expert in living an alcohol-free lifestyle. They discuss Amanda's journey, busting myths about sobriety, and the power of self-reflection for personal growth. www.amandakuda.com Subscribe and get a free 5-day journal at www.kristendboice.com to begin closing the chapter on what doesn't serve you and open the door to the real you. This information is being provided to you for educational and informational purposes only. It is being provided to you to educate you about ideas on stress management and as a self-help tool for your own use. It is not psychotherapy/counseling in any form. This information is to be used at your own risk based on your own judgment. For my full Disclaimer please go to www.kristendboice.com. For counseling services near Indianapolis, IN, visit www.pathwaystohealingcounseling.com. Pathways to Healing Counseling's vision is to provide warm, caring, compassionate and life-changing counseling services and educational programs to individuals, couples and families in order to create learning, healing and growth.
Yerrr! What's up y'all! This week's edition of the Off The Dome Podcast was previously recorded January 3rd, 2023, before Lani and Yesus headed to Chicago for their drop. We had no idea it would take this long to drop so our apologies for the wait! In this episode, Lani and Yesus are joined by Kuda Montana from 95 North Boutique. They talk about how he met Ms. Velez, their start in business, getting into the hat community, their preorder fiasco, journey into collabs, their big 2023 and what to look forward to in 2024! Thank you as always for rocking with us, make sure you like, comment, subscribe and share so that we can keep this movement moving! Follow the “Off The Dome Podcast” on Instagram!!! ➡️ https://www.instagram.com/theoffthedo.. Follow Yesus on Instagram!!! ➡️ https://www.instagram.com/yesusbic/ Follow Jelani on Instagram!!! ➡️https://www.instagram.com/laniveli/
Here's what we got into:Stocks are down around the world to start a week that only features a single key earnings report, TSMC this Thursday. Next week really starts the tech reporting deluge, so get ready.In crypto, bitcoin's price failed to pump after its ETF products launched, which surprised some. Also surprising was the value jump that the Ethereum blockchain offers. Buy the rumor, sell the news? (Elsewhere, a crypto exchange raised around $100 million. In 2024! Who would have expected that!)Uber is killing Drizly: You can still get booze delivered to your house, but Axios notes that the $1.1 billion acquisition by Uber has run its course. Pour one out.On the deal front, Spot Technologies raised $2 million, while TechCrunch reports that Kuda raised $20 million last year at a flat valuation. That's pretty solid a result for a fintech startup that last raised in 2021.To close out, Apple is the world's smartphone king and has found a way to sell its Watch product sans legal issues, while Microsoft is very busy with AI. Credits: Equity is hosted by Editor in Chief of TechCrunch+ Alex Wilhelm and TechCrunch Senior Reporter Mary Ann Azevedo. We are produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.
Are you looking for a starting point to refresh, renew, and take yourselves and your company to even higher levels of growth in the New Year? We've found that leading with purpose can make all the difference in bringing big dreams to life. In this week's episode, our guest Kuda Biza, shares his approach toRead More The post New Year, New You: Seizing 2024 With Purpose – with Kuda Biza appeared first on Business Advancement.
On this episode of The AIE Podcast... Seeds of Renewal is almost upon us! RED ALERT< RED ALERT… through January 18th! We have news from FFXIV FF So many games, so many updates! And, we are getting back into the swing of things after our break All that and more coming up right now... Podcast Audio Raw Video http://youtu.be/tcSyvsdoPDk Open Welcome to episode #414 of the podcast celebrating you, the Alea Iacta Est gaming community, the die has been podcast. This is Mkallah: To my left is Tetsemi: - (catch phrase here). And to my right is Mewkow: (catch phrase here). This week, we are catching up to see what we've been up to over the break, what games we have been playing, and the like. Welcome! Before we get into what we have been up to, let's go over this week's news! AIE News Community We have your Mandatory Fun Nights schedule for 2024! Where the fun is mandatory but the attendance is not. Sunday - You all get a day off! Monday - GW2 9:30 pm Eastern Monday - STO 10:00 pm Eastern Tuesday - SWTOR 9:00 pm Eastern Wednesday - HFO Mythic+ Mayhem (WoW) 8:00 pm Eastern Thursday- Board Game Night (1st and 3rd Thursdays) 7:00 pm Eastern/6:00 pm Central Friday - ESO 9:00 pm Eastern Friday - FFXIV(Magical Misc Tour) 9:00 pm Eastern Saturday - LotRO 8:30 pm Eastern Saturday - FFXIV (Maps) 9:30 pm Eastern Saturday - WoW Classic Hardcore 9:30 pm Eastern Saturday - Noob Raid (WoW) 11:00 pm Eastern Streaming and Guild Podcast News We have a ton of AIE member podcasts! Want to know where to find them? Look no further than here- New Overlords Podcast (Max and Sema) https://www.newoverlords.com Working Class Nerds (Marcus and Nick) - NSFL https://workingclassnerdscom.wordpress.com Boards and Swords (Chris and Philip) https://boardsandswords.com/blog?category=Boards%20%26%20Swords Dr. Gameology ( Dr. Daniel Kaufmann ) https://drgameology.com/ STO - Fleet Action Report (Grebog and Nikodas) https://www.youtube.com/@fleetactionreport A Podcast Reborn: A FFXIV Community Podcast (Brandon aka Old Man Franks, Meagan, and Rho) - NSFL https://www.bonusroll.gg/directory/a-podcast-reborn/ NOMADS On the small server front, there's groups running right now in ARK and Rust. Rust has a fresh map this week and Corley and Kuda have just started building. On ARK, we've just wrapped up the winter event and a few of the group have started in on end bosses. We'll be continuing there for a while and are looking forward to the next holiday and soon, the next expanded map for Ascended. WoW WoW Retail, Patch 10.2.5 Seeds of Renewal is coming January 16 with lots of changes. Night Elves are building their new capital, Bel-Ameth in the World Tree Amirdrassil and Alliance and Horde players can visit, although Horde will have a buff warning that they're being watched... especially fire mages. There are new Night Elf tabards, cloaks and weapons there as well as new Night Elf children NPC's. Worgen leader Genn Graymane is also taking his people back to their former capital, Gilneas. Dragonriding is coming to every zone in WoW where flying is possible -- but at 80% Dragonflight speed... because 100% would be ridiculous, right? There will be new Dragon Racing events with new transmog and achievements to earn. Darkspear Trolls are getting 5 new hair colors and Dranei will have a new skin tone available, and Warlocks will have new customizations for their Demonic Tyrant and Darkglare demons. New Follower dungeons will allow players to practice roles and abilities without resorting to LFD. NPC's will make up the rest of the party. Holidays Love Is In The Air, the Lunar Festival and Noblegarden have new content including battle pets, transmog, and a dragonriding appearance. Be warned there are some very, very pink items coming to the Trading Post in February. And there's a new weekly event, Azeroth Archives that will have solo and group content to earn a v...
Amanda Kuda can attest to the fact that you don't need to have a drinking problem for alcohol to be holding you back. Like a lot of successful young professionals, her life was a carousel of opportunities to drink that ultimately left her feeling unfulfilled in her spirit, relationships, and career. She didn't hit “rock bottom” or need a recovery program, but she did need a change. It was only when Kuda tried Dry January that she realized sobriety was the linchpin to a better life. In a culture that treats alcohol as a cure all to subdue anxiety, grieve, and celebrate, she found that cutting it out helped her and later, her clients feel truly well and finally reach her full potential. Today, Amanda is an alcohol-free lifestyle expert and coach helping ambitious, soul-centered women stop drinking and start manifesting the life they desire and deserve. Amanda's first book, Unbottled Potential: Break Up With Alcohol And Break Through To Your Best Life will challenge you to open your mind to the extraordinary possibilities of an alcohol-free life. This isn't just Dry January: this is an opportunity to investigate your relationship with alcohol and understand the true meaning behind “sober-curious.” In this episode, Amanda shares the story of how she realized that alcohol was holding her back from her fullest potential, and how she navigated social situations and friends during the transition. Amanda Kuda IG: @amandakuda https://www.instagram.com/amandakuda/ Amanda Kuda FB: @Authentically Amanda https://www.facebook.com/authenticamanda Amanda Kuda YouTube: @amandakuda https://www.youtube.com/@amandakuda/videos Amanda Kuda Twitter: @AmandaKuda https://twitter.com/AmandaKuda Amanda Kuda LinkedIn: https://www.linkedin.com/in/amandakuda/ Amanda Kuda TikTok: @amanda.kuda https://www.tiktok.com/@amanda.kuda Amanda Kuda Website: https://www.amandakuda.com TIMESTAMPS: 0:00 Intro 2:05 Amanda's story with alcohol 5:40 How Amanda was trying to moderate alcohol consumption 11:45 Alcohol and social situations 20:35 How alcohol was holding Amanda back 28:46 What happened when Amanda announced that she is alcohol free to her friends 41:00 Noticing how different foods make you feel is similar to noticing that about alcohol
In episode 123 of Outside The Studio with Tessa: In this conversation, Tessa interviews Amanda Kuda about her journey to sobriety and the impact it has had on her life. Amanda shares her experience of being a social drinker and how she realized that alcohol was holding her back. She discusses the fear and stigma around sobriety and emphasizes that alcohol doesn't have to be a problem for it to be a problem in your life. Amanda also talks about her book, 'Unbottled Potential,' and the process of writing and publishing it. The conversation concludes with a discussion on finding alternatives to the evening routine of drinking. In this conversation, Amanda Kuda discusses her reading habits, book recommendations, and her journey as an author. She emphasizes the importance of reading fiction before bed to wind down the mind. Amanda recommends the books Night Circus and This Tender Land as must-reads. She also shares her love for writing and the power of books in connecting with others. Amanda expresses her excitement for future writing projects and the opportunities that being an author brings. Some good reasons to listen in:1. Alcohol doesn't have to be a problem for it to be a problem in your life.2. Sobriety can have a positive impact on all aspects of life, including relationships, career, personal development, and spirituality.3. Writing and publishing a book can be a transformative and empowering process.4. Replacing the evening routine of drinking with alternative activities can help overcome the fear and discomfort of sobriety. Reading fiction before bed can help wind down the mind and promote better sleep.5. Recommended books: Night Circus and This Tender Land.6. Books have the power to connect people and evoke emotions.7. Exploring curiosities, such as sobriety, can lead to personal growth and self-discovery. Timestamps:00:00 Introduction and Background02:45 Amanda's Journey to Sobriety06:36 The Impact of Sobriety on Life14:02 Exploring Sobriety and its Effects18:02 You're Not the Problem22:32 Writing and Publishing the Book29:21 Overcoming Fear35:56 Replacing the Evening Routine40:29 Fiction After Five41:03 Reading Fiction Before Bed42:24 Book Recommendations: Night Circus and This Tender Land43:45 The Joy of Reading and Writing44:06 Future Plans as an Author45:40 Connecting on Social Media46:06 Blogging and Podcasting46:27 Final Takeaways Connect with Amanda Kuda:• Book: https://www.amandakuda.com/book/• Instagram: https://www.instagram.com/amandakuda/• Website https://www.amandakuda.com/• Dry January Challenge: https://amandakuda.podia.com/2024-unbottled-potential-challenge Connect with Tessa TovarWebsite: https://tessatovar.com/Instagram: https://www.instagram.com/tessamarietovar/LinkedIn: https://www.linkedin.com/in/tessa-tovar-baa27613Twitter: https://twitter.com/TBenedicktusThe Dark Moon: A Book of Poetry for Savasana: https://a.co/d/e8LgG1TYouTube: https://www.youtube.com/channel/UCHMYm-7kNZfulgaiCi2w8Cw
In episode 123 of Outside The Studio with Tessa: In this conversation, Tessa interviews Amanda Kuda about her journey to sobriety and the impact it has had on her life. Amanda shares her experience of being a social drinker and how she realized that alcohol was holding her back. She discusses the fear and stigma around sobriety and emphasizes that alcohol doesn't have to be a problem for it to be a problem in your life. Amanda also talks about her book, 'Unbottled Potential,' and the process of writing and publishing it. The conversation concludes with a discussion on finding alternatives to the evening routine of drinking. In this conversation, Amanda Kuda discusses her reading habits, book recommendations, and her journey as an author. She emphasizes the importance of reading fiction before bed to wind down the mind. Amanda recommends the books Night Circus and This Tender Land as must-reads. She also shares her love for writing and the power of books in connecting with others. Amanda expresses her excitement for future writing projects and the opportunities that being an author brings. Some good reasons to listen in:1. Alcohol doesn't have to be a problem for it to be a problem in your life.2. Sobriety can have a positive impact on all aspects of life, including relationships, career, personal development, and spirituality.3. Writing and publishing a book can be a transformative and empowering process.4. Replacing the evening routine of drinking with alternative activities can help overcome the fear and discomfort of sobriety. Reading fiction before bed can help wind down the mind and promote better sleep.5. Recommended books: Night Circus and This Tender Land.6. Books have the power to connect people and evoke emotions.7. Exploring curiosities, such as sobriety, can lead to personal growth and self-discovery. Timestamps:00:00 Introduction and Background02:45 Amanda's Journey to Sobriety06:36 The Impact of Sobriety on Life14:02 Exploring Sobriety and its Effects18:02 You're Not the Problem22:32 Writing and Publishing the Book29:21 Overcoming Fear35:56 Replacing the Evening Routine40:29 Fiction After Five41:03 Reading Fiction Before Bed42:24 Book Recommendations: Night Circus and This Tender Land43:45 The Joy of Reading and Writing44:06 Future Plans as an Author45:40 Connecting on Social Media46:06 Blogging and Podcasting46:27 Final Takeaways Connect with Amanda Kuda:• Book: https://www.amandakuda.com/book/• Instagram: https://www.instagram.com/amandakuda/• Website https://www.amandakuda.com/• Dry January Challenge: https://amandakuda.podia.com/2024-unbottled-potential-challenge Connect with Tessa TovarWebsite: https://tessatovar.com/Instagram: https://www.instagram.com/tessamarietovar/LinkedIn: https://www.linkedin.com/in/tessa-tovar-baa27613Twitter: https://twitter.com/TBenedicktusThe Dark Moon: A Book of Poetry for Savasana: https://a.co/d/e8LgG1TYouTube: https://www.youtube.com/channel/UCHMYm-7kNZfulgaiCi2w8Cw
Stacy talks to personal development coach Amanda Kuda who shares tools and encouragement to examine the role of alcohol in our lives. With the end of the year approaching, many of us are thinking about our goals for the next year, and, the fact is, you don't need to have a drinking problem for alcohol to be holding you back! Whether you're looking to give “Dry January” a try or are ready to fully commit to an alcohol-free life, this episode brings a compassionate and real look at how sobriety can benefit everyone. Find Amanda: AmandaKuda.com Instagram.com/amandakuda Unbottled Potential: Break Up with Alcohol and Break Through to Your Best Life Don't forget to subscribe to this channel and visit realeverything.com! If you haven't yet unlocked ad-free content, checkout patreon.com/thewholeview. Your subscription goes to support this show and gets you direct access to submit your questions! We also want to give a big thank you to this week's sponsors! ButcherBox.com/WHOLEVIEW | Use code WHOLEVIEW to get free chicken nuggets for a year! Vegamour.com/WHOLEVIEW | Use code WHOLEVIEW to get 20% off your first order Beautycounter.com/StacyToth | Shop the Winter Sale now! Learn more about your ad choices. Visit megaphone.fm/adchoices
Amanda Kuda shares why she decided to go sober and how it's massively improved her life. In This Episode: 02:30 - Pursuing your dreams 05:00 - Going sober 07:00 - Fear of being exposed 11:00 - The power of intention 14:00 - Learning entrepreneurship 17:00 - Hopeless optimism 20:00 - Getting an agent 22:00 - Writing and speaking 24:30 - What is a spiritual journey? 28:30 - Tapping into intuition 32:30 - Passive aggressiveness 36:00 - Certified gray drinking coach 38:00 - Sober curious 39:30 - Getting her first client 41:30 - Spiritual awakenings 46:00 - Marketing lessons 48:30 - Deep thoughts 50:00 - Rapid fire questions 57:00 - Go deep 3-Tip Tuesday's - Marketing Tips to Attract More Leads! The Niche Test Get all links, resources, and show notes at: www.coreyhi.com/podcast/130
Left, Right, or in the middle? Guest host and previous guest to the Tent Sheyi Martin-Allens presents a series of conversations with black and brown friends from across the political spectrum to discuss their thoughts on having Britain's first Asian prime minister along with a government containing an increasing amount of ethnic minorities. The series works through a number of conflicting questions, such as does having someone with the same skin color as us in positions of power mean we feel represented and do people with the same skin color or ethnic heritage need to hold to the same political views? Episode 3 is the first part of conversations with those who are navigating the tricky Middle: Claudine and Kuda.You can find out more about Sheyi's work as a singer, podcaster, and educator here and here.Has anything we make been interesting, useful or fruitful for you? You can support us by becoming a Fellow Traveller on our Patreon page HERE.
Are you sober-curious, thinking of doing Dry January, or dreading the upcoming holiday hangovers? Join me in this Wellness Revolution Podcast as I welcome Amanda Kuda, a life coach for the sober/sober-curious, author, and speaker who helps high-achieving women renegotiate their mindset around drinking so they can start living the life they deserve. Today, we're busting myths around alcohol, discussing the shocking benefits of going sober (even for just a few months), and giving you the simple steps you need to break up with alcohol. Amanda recently published her new book, “Unbottled Potential: Break Up with Alcohol and Break Through to Your Best Life”, which is a life-changing guide for going alcohol-free and manifesting success in your life. If alcohol isn't adding anything to your life anymore, join the club! For many of us, alcohol only gives us horrible hangovers, brain fog, and countless other unseen harms to our body, mind, and soul's potential. That's why Alc and I are on a break right now… Whether you want to take a break from alcohol or cut ties with it for good, Amanda has incredible tips, strategies, and words of encouragement for you to be successful. Remember this piece of Amanda's advice: The fastest way to scale the mountain and get to the other side is to get out of your own way! Key Highlights: Amanda's sober journey + Gems from “Unbottled Potential”. How alcohol affects the body, brain, and your health. How alcohol impacts productivity, muscle recovery, mindfulness, and more. Myths and misconceptions around quitting alcohol and “mindful drinking”. The real reason most women drink & How this harms our subconscious. Where to Start: Simple steps to changing your relationship with alcohol and stepping into your highest potential. Changing your relationship with alcohol gets easier when you connect to your inner child. Is it healthy to have alcohol in moderation? Why I'm on a break from alcohol. How to overcome perfectionism and fear of failure when breaking up with alcohol. How long do I have to quit alcohol before I start seeing benefits/results? Supplements to consider when going alcohol-free. How Amanda combines psychology and spirituality to coach sober-curious women. Episode Resources: Join Amber's FREE 3 Day Challenge: products.ambershaw.com/trimchallenge Get your 5-day reset at kromawellness.com and use code AMBER20 for 20% off! Get your HigherDOSE Sauna Blanket here and use code AMBER15 for 15% OFF! Order “Unbottled Potential: Break Up With Alcohol and Break Through to Your Best Life” by Amanda Kuda Huberman Lab Episode 86 – What Alcohol Does To Your Body, Brain & Health Listen to TWR 096: The Impact of Alcohol on the Body with Dr. Brooke Scheller Connect with Amanda Kuda: Website: amandakuda.com Facebook: @Authentically Amanda Instagram: @amandakuda TikTok: @amanda.kuda Twitter: @AmandaKuda YouTube: @amandakuda LinkedIn: @AmandaKuda Listen to The Unbottled Potential Podcast Connect with Amber: Instagram: @msambershaw TikTok: @msambershaw Website: ambershaw.com Free Weight Loss, Health & Fitness Facebook Group for Working Moms
BLOOD SUGAR MASTERY is my signature 8-week group coaching course that will give you all the tools to master your blood sugar so you can gain energy, sleep better, burn fat, crush cravings and feel amazing! It will help give you the clarity on what to change and why so you can ditch the confusion and start making changes that really help you feel better WITHOUT trying to change everything all at once! Get on the waitlist here. Enrollment opens on Black Friday!FullScript Online Supplement Dispensary: https://us.fullscript.com/welcome/daniellehamiltonhealthAre you sober-curious but you don't have a problem with alcohol? Typically, the message we get in our society is that you only stop drinking IF you have a problem with it. My guest today, Amanda Kuda, decided to stop drinking, not because she had a problem with alcohol, but because she understood that alcohol was dulling her potential and getting in the way of her living her best life! I absolutely love Amanda and her incredible story and you will too! TODAY'S GUEST:Amanda Kuda is an alcohol-free lifestyle expert. She's a holistic life coach, speaker and author living, working and playing in Austin, TX. As a coach, Amanda helps ambitious, soul-centered women stop drinking and start manifesting the life they deserve and desire.She teaches a modern approach to personal development, self-actualization and spiritual enlightenment through the lens of elective sobriety. Amanda's first book, Unbottled Potential: Break Up With Alcohol And Break Through To Your Best Life is out now (Penguin Random House / Avery) Website: https://amandakuda.com/Instagram: https://www.instagram.com/amandakuda/Book - Unbottled Potential: https://amzn.to/3MTmW2SQuiz - Are You A Comfort Zone Drinker: https://amandakuda.com/quizFree Mini-Course - Awakened without Alcohol: https://amandakuda.podia.com/awakened-without-alcohol-free-seriesSTAY IN TOUCH WITH ME:You can find me:On Instagram @daniellehamiltonhealth On Facebook at Danielle Hamilton Health.My website is daniellehamiltonhealth.com (scroll down to sign up for my Newsletter!My *new program* SugarSavvy is your Complete Guide to Glucose Testing! Use the code SUGARFREE to get it absolutely free! Enroll hereThank you for subscribing, rating, reviewing, sharing and reposting the show! I appreciate each and every one of you! ⭐️⭐️⭐️⭐️⭐️ Fullscript online supplement dispensary --> Link: https://us.fullscript.com/welcome/daniellehamiltonhealth
The Unschool FREE How to Launch Masterclass is available here. Learn more about starting your next 6-figure business, plus get AI pitch prompts, swipe copy, brand decks, social templates, and more inside the Unschool: Intuitive Biz Academy. Today's guest: Amanda Kuda can attest to the fact that you don't need to have a drinking problem for alcohol to be holding you back. Like a lot of successful young professionals, her life was a carousel of opportunities to drink that ultimately left her feeling unfulfilled in her spirit, relationships, and career. She didn't hit “rock bottom” or need a recovery program, but she did need a change. Today, Amanda is an alcohol-free lifestyle expert and coach helping ambitious, soul-centered women stop drinking and start manifesting the life they desire and deserve. Amanda's first book, Unbottled Potential: Break Up With Alcohol And Break Through To Your Best Life, is on shelves now. With an approach rooted in psychology and spiritual study, Unbottled Potential will challenge you to open your mind to the extraordinary possibilities of an alcohol-free life. In this episode we discuss: Amanda's Carrie Bradshaw lifestyle and why it needed a makeover Being mindful on the weekdays but mindless on the weekend The relationship betweenh spirit and alcohol Alcohols impact manifestation Mine and Amanda's stories of the moments we knew alcohol wasn't for us anymore Amanda's download and what she decided to do next Using sobriety to create a more fulfilling life Links & Resources: Amanda's new book Unbottled Potential: Break Up with Alcohol and Break Through to Your Best Life here Connect with Amanda: Follow her journey on Instagram @amandakuda. _______________________________________________________ RESOURCES: Join The Unschool: Intuitive Biz Academy The Income to Instagram Starter Kit is now available Want to chat about this episode? Text
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Have you ever wondered who you would be without the crutch, or the pull, of alcohol? It's a question that might make you squirm a little, but it's worth sitting with. What if that glass of wine or that bottle of beer is actually bottling up your true potential? Our guest today is Amanda Kuda. She can attest to the fact that you don't need to have a drinking problem for alcohol to be holding you back. Like a lot of successful young professionals, her life was basically a carousel of opportunities to drink that ended up leaving her feeling unfulfilled in her spirit, relationships, and career. She didn't hit “rock bottom” or need a recovery program, but she did need a change. It was only when she tried Dry January that she realized sobriety was the linchpin to a better life. In a culture that treats alcohol as a cure-all to subdue anxiety, grieve, and celebrate, she found that cutting it out helped her truly reach her full potential. Now, she's an alcohol-free lifestyle expert and coach helping ambitious, soul-centered women stop drinking and start manifesting the life they desire and deserve. Amanda's first book, “Unbottled Potential: Break Up With Alcohol And Break Through To Your Best Life,” hits the shelves today, October 3, 2023. We will learn: The connection between alcohol and identity The real myths of moderation How removing ineffective things from our lives can create space for positive growth Links from the episode: Show Notes: https://mindlove.com/316 Become a Mind Love Member for high-value Masterclasses, Growth Workbooks, Monthly Meditations, and Uninterrupted Listening FREE 5-Days to Purpose Email Course Sign up for The Morning Mind Love for short daily notes to wake up inspired Support Mind Love Sponsors Learn more about your ad choices. Visit megaphone.fm/adchoices
What is a sober curious lifestyle? Could it be a fit for you? Don't miss this week's episode as Karen is joined by Amanda Kuda, an alcohol-free lifestyle expert and coach who specializes in helping ambitious and soul-centered women make the transformative shift towards an alcohol-free life. Amanda delves into the concept of being "sober-curious," sharing her personal journey towards embracing an alcohol-free lifestyle and the incredible benefits she has experienced along the way. Providing practical guidance to empower listeners to make changes to live their best lives, Amanda also offers insights on navigating social situations and relationships when pursuing a sober-curious lifestyle. She sheds light on the impact of alcohol on physical, mental, and emotional well-being, reinforcing the importance of her mission to help others manifest the lives they truly deserve. ---- Mentions: Sober Curious by Ruby Warrington Unbottled Potential: Break Up with Alcohol and Break Through to Your Best Life by Amanda Kuda Follow Amanda Kuda on Instagram , listen to her podcast, and check out her website. Don't forget to pre-order her new book, Unbottled Potential. Want to support the In the Details podcast? Make sure to visit Apple Podcasts, Google Podcasts or Spotify, then rate it five stars and share it with your community! You can also stop by Karen Allen's website.See omnystudio.com/listener for privacy information.
What is a sober curious lifestyle? Could it be a fit for you? Don't miss this week's episode as Karen is joined by Amanda Kuda, an alcohol-free lifestyle expert and coach who specializes in helping ambitious and soul-centered women make the transformative shift towards an alcohol-free life. Amanda delves into the concept of being "sober-curious," sharing her personal journey towards embracing an alcohol-free lifestyle and the incredible benefits she has experienced along the way. Providing practical guidance to empower listeners to make changes to live their best lives, Amanda also offers insights on navigating social situations and relationships when pursuing a sober-curious lifestyle. She sheds light on the impact of alcohol on physical, mental, and emotional well-being, reinforcing the importance of her mission to help others manifest the lives they truly deserve. ---- Mentions: Sober Curious by Ruby Warrington Unbottled Potential: Break Up with Alcohol and Break Through to Your Best Life by Amanda Kuda Follow Amanda Kuda on Instagram , listen to her podcast, and check out her website. Don't forget to pre-order her new book, Unbottled Potential. Want to support the In the Details podcast? Make sure to visit Apple Podcasts, Google Podcasts or Spotify, then rate it five stars and share it with your community! You can also stop by Karen Allen's website.See omnystudio.com/listener for privacy information.
Show Notes–Ep. 247: Breaking Up with Booze and Living Your Best Life with Amanda Kuda Amanda Kuda was acutely aware of being different from her peers growing up–the movie Matilda made her feel seen, minus the telekinesis–so when she discovered that alcohol made it easier for her to fit in, it became a regular part of her social life. After an ADHD diagnosis in her early 20's, Amanda started to take note of what was and wasn't helpful for managing her symptoms and realized the habit change that benefitted her the most was removing alcohol from her lifestyle. Now, seven years later, Amanda is an author and holistic life coach who helps other ambitious women stop drinking and start manifesting the lives they want and deserve. She tells me, “What transpired after I stopped drinking alcohol was that my potential, my authenticity, my magic came online at a level that I hadn't before been able to access it.” Join my insightful conversation with Amanda to hear about how alcohol may be holding you back from your authenticity and all the ways life can open up for you when you take a step back from substances and embrace who you really are. Resources: Website: Instagram: @amandakuda
Amanda Kuda is an alcohol-free lifestyle expert and coach helping ambitious, soul-centered women stop drinking and start manifesting the life they desire and deserve. Amanda is also now an author and her first book, Unbottled Potential: Break Up With Alcohol And Break Through To Your Best Life. Amanda joins Kelly to give listeners the first steps and the why's to evaluate their relationships with alcohol. Both Kelly and Amanda share what living alcohol free brought to them personally and also discuss the sober curious movement happening around the world. Website: amandakuda.com Book: Unbottled Potential: Break Up WIth Alcohol And Break Through To Your Best Life Socials: @amandakuda Podcast: Unbottled Potential See omnystudio.com/listener for privacy information.
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