Podcasts about Nim

Czy człowiek może naprawdę zapomnieć o Bogu? No właśnie może. Ale jest w tym coś jeszcze mocniejszego: Bóg nie zapomina o człowieku nigdy. I o tym jest ten odcinek „ZDROWEJ NAUKKKI”. Kim jest człowiek? Dlaczego szuka Boga? I czemu jego serce pozostaje niespokojne, dopóki nie spocznie w Nim?

What has the mainstream media missed in its coverage of the updated EHRC code of practice? What conditions are needed to support different modes of justice? And how many comebacks does Tony Blair get?Joining Carys is  Nim Ralph, a writer, trainer, facilitator with around 20 years organising in UK social movements, including trans and queer liberation, anti-racism, disability justice and environmental justice. They co-founded QTIPOC London and Purple Rain Collective and currently work at Stand.Nim and Carys discuss single-sex spaces, Tony Blair, the need for bigger conversations around justice and accountability, and the cancellation of a Pride event in Hertfordshire.Support us on www.patreon.com/OverTheTopUnderTheRadar ⁠⁠⁠⁠⁠⁠⁠ - get bonus episodes, a weekly newsletter and become a part of our members-only WhatsApp community.Email us at ⁠⁠⁠⁠⁠⁠⁠info@overunderpod.com⁠⁠⁠⁠⁠⁠⁠Sign up to the newsletter at ⁠⁠⁠⁠⁠⁠⁠http://www.overunderpod.com ⁠⁠⁠⁠⁠⁠⁠Follow us on all socials @‌over_under_pod_Links:Action: https://www.transsolidarityalliance.com/mass-lobby-2026https://x.com/NMRLPHhttps://www.facebook.com/100057393311811/posts/1464710142118749/https://www.bbc.co.uk/news/articles/c4g958n8vyxohttps://www.bbc.co.uk/news/articles/c0e2rj3zj02ohttps://www.theguardian.com/law/2026/may/26/court-of-appeal-to-review-sentences-of-teenage-boyshttps://institute.global/insights/politics-and-governance/the-labour-party-is-playing-with-fire-over-its-future-and-the-future-of-the-countryhttps://www.lighthousereports.com/investigation/blair-and-the-billionaire/

Kia ora. Welcome to Tuesday's Economy Watch where we follow the economic events and trends that affect Aotearoa/New Zealand. I'm David Chaston and this is the international edition from Interest.co.nz. Today we lead with news there has been no improvement in the backdrop to the global economy. To open the new week, oil prices have risen after Trump warned that Tehran is running out of time to reach a deal he likes, while Iranian media reports indicated the two sides remain far apart in negotiations. Shipping flows through the Strait of Hormuz remains effectively shut, keeping supplies tight. In the US, the NY Fed's regional Business Leaders Survey shows that the service sector there is continuing to contract, but now at a lesser pace. Activity has been contracting there since late 2024. Inflationary pressures remained persistent, with firms reporting steep increases in input costs and still-elevated selling prices. Staying tin the US, the NAHB/Wells Fargo Housing Market Index, which measures builder confidence in the market for newly built single-family homes, rose in May from April (which was its lowest level since September 2025). They too complain about sharply elevated input costs. And we should probably note that Elon Musk has lost his case against Sam Altman and OpenAI to claim the company. The jury quickly decided Must had no case. In China, new home prices across the 70 cities they reference shrank -3.5% in April from a year earlier, following a -3.4% decline in the previous month. This is the 34th consecutive month of contraction. It is also the sharpest contraction pace since May 2025. The weakness in their property sector goes on and on. The pace of decline in their existing home market is even faster. Four a fourth month, China's electricity production fell from the previous month. But it was +2.6% higher than the same month a year ago. This is a good reference point to assess their industrial production, which they said rose +4.1% in April from a year ago. But that was the slowest they have reported for an April since 2022. Fixed asset investment fell -1.8% in April on that same basis. At the same time, they said retail sales fell -0.5% in April after a -0.1% decline in March. Chinese banks now have an average net interest margin of 1.4%, according to the latest data as at March 2026. That is news because it is a record low. (For perspective, the New Zealand industry NIM is 2.3%.) Singapore said its non-oil exports rose a fast +24.5% in April from a year ago, up sharply from the +15.3% pace in March. This was the eighth consecutive month of growth and the fastest pace in fourteen years, with electronics the growth leader. In Australia, Cotality reported that 1,939 capital city homes went to auction last week, an -11% drop from the previous week, but still tracking higher than a year ago (+8.7%) when 1,784 home auctions were held. The preliminary clearance rate rose 1.1 percentage points to 57.5%, still a soft result but with highly mixed outcomes across different cities. This was the fifth time in the past seven weeks that the early clearance rate had held below the 60% mark and the third lowest result for the year-to-date. The Aussie Budget signals may have contributed to the mood.  The UST 10yr yield is now just on 4.59%, down -1 bp from this time yesterday. The price of gold will start today up +US$8 at US$4547/oz. Silver is up +US$1 at just over US$76.50/oz. American oil prices have risen +US$1.50 to just over US$107/bbl, while the international Brent price is now at just over US$110.50/bbl. The Kiwi dollar is up +30 bps from yesterday at this time at 58.7 USc. Against the Aussie we are also up +30 bps at 82 AUc. Against the euro we are up +20 bps at just on 50.4 euro cents. That all means our TWI-5 starts today at just under 62.2 which is up +30 bps from yesterday. The bitcoin price starts today at US$76,661 and down -1.8% from this time yesterday. Volatility over the past 24 hours has been modest at just under +/- 1.6%. It turns out Trump's investment partners are enabling Iran to access the global financial system and evade US sanctions. Iran's Nobitex has processed at least US$2.3 billion through Tron and BNB Chain, blockchain ledgers started by backers of the Trump family's World Liberty Financial. Of course there will be no Justice Department investigation. You can get more news affecting the economy in New Zealand from interest.co.nz. Kia ora. I'm David Chaston and we'll do this again tomorrow.

Bywa, że niektóre miejsca emanują aurą, która skutecznie odstrasza wszystkich. Grupa kultystów ewidentnie pilnowała czegoś w tej wielkiej jaskini. Tylko co to mogło być? Czy kryje ona jeszcze większe zagrożenie? Nim wyruszy się na eksplorację, należy jednak odrobinę odpocząć a jak wszyscy wiemy odpoczynek to też czas na snucie opowieści, planów czy nawet zacieśnianie więzi. Z drugiej jednak strony tkwienie w takim miejscu to praktycznie proszenie się o kłopoty, bo kto wie, czy podczas przeszukiwania meandrów skalnych konstrukcji ktoś nie przybędzie i nie zablokuje jedynego wyjścia? Ale nie ma co złorzeczyć, wystarczy po prostu oglądać się za siebie na każdym kroku.Dungeons & Dragons powraca, po przerwie. Zapraszamy do obejrzenia naszego dotąd najbardziej ambitnego projektu, który łączy wątki Duetu z Berduska, Wrót Baldura oraz serii D&D Legendy.Kampania powstała przy wsparciu:⚔️ 5 ŻYWIOŁÓW: https://5zywiolow.com/

W dzisiejszej Ewangelii Jezus ukazuje swoją relację z Ojcem, do którego idzie, aby przygotować nam miejsce. On jest w Ojcu, a Ojciec jest w Nim. Jezus chce, abyśmy przez Niego weszli w tę przestrzeń miłości, jaką jest Jego komunia z Ojcem. On jest Drogą, Prawdą i Życiem. Czy wiara w Jezusa jest jednym z mieszkań czy samym fundamentem mojego życia? Jak możemy prowadzić młodych do odkrywania piękna życia przez wiarę w Jezusa?

Swoją obietnicą umocnij moje kroki, nie pozwól owładnąć mną żadnej niegodziwości. Ps 119,133 (BE) Ten, kto mówi, że trwa w Nim, powinien postępować tak, jak On postępował. 1 J 2,6 (BE)

„Był wzgardzony…” a jednak to właśnie On podnosi to, co świat odrzucił. W Jego ranach nie ma tylko bólu, jest uzdrowienie. W Jego milczeniu nie ma tylko cierpienia, jest odpowiedź. I może właśnie tam, pod krzyżem, zaczyna się prawdziwa przemiana serca. Bo u mnie to tak właśnie było, widząc jak upadłem, zacząłem wierzyć, że z Nim mogę wstać.

Mk. 2,13-17 (13) Potem znów wyszedł nad jezioro. A gdy zebrał się przy Nim tłum ludzi, rozpoczął nauczanie. (14) Po drodze zobaczył Lewiego, syna Halfeusza, który urzędował przy stole celnym. Wtedy zwrócił się do niego: Chodź za Mną. Lewi wstał i poszedł za Nim. (15) Gdy następnie Jezus wraz z uczniami siedział przy stole w jego domu, towarzyszyło Mu wielu celników i grzeszników, bo też wielu za Nim chodziło. (16) A gdy znawcy Prawa należący do faryzeuszów zobaczyli, że jada z grzesznikami, a szczególnie celnikami, zaczęli podpytywać Jego uczniów: Dlaczego On z takimi ludźmi zasiada przy jednym stole? (17) Gdy Jezus to usłyszał, powiedział im: Chorzy, a nie zdrowi potrzebują lekarza. Nie przyszedłem wzywać sprawiedliwych, lecz grzeszników. Nauczanie z dnia 26 kwietnia 2026

Ateizm jest w odwrocie!

Czy można stanąć tak daleko od Boga, że nie da się już wrócić? A może właśnie wtedy, gdy w naszym życiu kończy się „paliwo”, zaczyna się coś najważniejszego? Poruszająca historia kapłana, który upadł i został podniesiony. Bo ten kto sam został uratowany, ten nie rzuca kamieniem — tylko wyciąga rękę. Poznasz mądrość ojców pustyni, którzy uczą, dlaczego człowiek świadomy własnych grzechów przestaje osądzać innych.Zestawiam też dwie niezwykle mocne wizje: ciemny „Upadek” Camusa i pełne nadziei spojrzenie św. Faustyny. Jedna prowadzi do zamknięcia, chłodu i osądu. Druga otwiera na ocean Bożego Miłosierdzia, w którym nawet największy grzech nie ma ostatniego słowa.To odcinek dla tych, którzy czasem czują, że zabrakło im sił.Posłuchaj, jeśli chcesz na nowo uwierzyć, że nie jesteś sumą swoich upadków, a miłosierdzie Boga jest większe niż wszystko, co próbujesz przed Nim ukryć.⏰ Kliknij w rozdział, żeby przejść do konkretnego fragmentu kazania.00:00 - Ciekawy prezent01:36 - Ułaskawiony Łotr04:18 - Mądrość Ojców Pustyni06:57 - Powieść filozoficzna Alberta Camusa09:22 - Dlaczego łatwo wytykać wady

Tekst tego rozdziału podtrzymuje ton poprzednich, ukazuje przejmującą zapowiedź sprawiedliwego sądu nad Niniwą i imperium asyryjskim. Bóg odsłania to, co ukryte, obnaża pychę, okrucieństwo i złudne poczucie bezpieczeństwa, przypominając, że żadna potęga, żadne bogactwo ani ludzki system nie są wieczne. Upadek Niniwy jawi się jak zapowiedź nieuchronnego zmierzchu systemów tego świata… bo to, co wydawało się niezłomne, rozpada się jak kruche naczynie. Miasto, które nie znało miłosierdzia, samo go nie znajduje; zbiera plon własnej przemocy i zatwardziałości serca. Jakże szybko przemija to, co ogłaszało własną nieprzemijalność… A jak cicho i wiernie trwa to, co duchowe, pozornie niewidzialne, a jednak niezniszczalne, nagradzając cierpliwość i wierność tych, których świat nazywał słabymi. Główna prawda wyłania się spośród gruzów niegdyś tak pewnej siebie rzeczywistości. Bóg jest sprawiedliwym Sędzią, który rozlicza zło, a prawdziwe schronienie nie znajduje się w sile ani bogactwie, lecz w Nim i w sercu, które pozostaje wierne.

Czy młodzi naprawdę odchodzą z Kościoła, a jeśli tak, to co sprawia, że wracają?

Biblia jest księgą, która w sposób mistrzowski opisuje bogactwo wszelkiego rodzaju wewnętrznych doświadczeń człowieka. To skarbnica mądrości dotyczącej psychiki ludzkiej. Jednak najważniejsze jest to, że dzięki tajemniczemu działaniu Boga może stać się miejscem spotkania z Nim. W dzisiejszym odcinku usłyszysz o rozwoju emocjonalnym, o powszechnych wątpliwościach oraz o świadku, który nie wie, że jest świadkiem. […]

Zmarnowałeś Wielki Post? Czujesz zawód? Poczucie winy… smutek, a może nawet coś głębszego?

Jezus zmartwychwstał i żyje. Tę prawdę Kościół głosi nieprzerwanie od dnia Pięćdziesiątnicy. Spotkanie z Jezusem Zmartwychwstałym uwalnia nas od lęku i od skupienia na sobie samych, daje nam pokój i wzywa do działania. Dzisiejsza Ewangelia ostrzega nas jednak, że można także łatwo zapomnieć o tym spotkaniu i wycofać się z powierzonej nam misji. Czym próbujemy przekonać samych siebie, że Bóg nie jest najważniejszy i co jest naszą wymówką, aby o Nim nie świadczyć? Jak możemy umacniać wzajemnie naszą wiarę w Zmartwychwstanie i pełnić powierzoną nam misję głoszenia Ewangelii?

Łk.23,32-43 (32) Prowadzili też dwóch innych ludzi. Byli oni przestępcami i mieli być straceni razem z Jezusem. (33) Gdy więc przyszli na miejsce zwane Czaszką, ukrzyżowali tam Jego i obu przestępców, jednego z prawej, a drugiego z lewej strony. (34) W tym czasie Jezus mówił: Ojcze, przebacz im, bo nie wiedzą, co czynią. Oni zaś losowaniem rozstrzygali, co komu ma przypaść z Jego szat. (35) Lud stał i patrzył. A przełożeni nie szczędzili drwin: Innych ratował, niech uratuje siebie — jeśli jest Bożym Chrystusem, tym wybranym. (36) Szydzili też z Niego żołnierze. Ci podchodzili, podawali Mu kwaśne wino (37) i wołali: Jeśli Ty jesteś królem Żydów, uratuj się! (38) Widniał bowiem nad Nim napis: To jest król Żydów. (39) Zaczął Mu również urągać jeden z ukrzyżowanych przestępców: Skoro jesteś Chrystusem, uratuj siebie i nas! (40) Drugi natomiast skarcił go: Czy ty się Boga nie boisz, choć wymierzono ci taki sam wyrok? (41) Nam wprawdzie sprawiedliwie, bo zasłużyliśmy na to, ten człowiek jednak nie zrobił nic złego. (42) I dodał: Jezu, wspomnij o mnie, gdy przyjdziesz do swego Królestwa. (43) Jezus mu odpowiedział: Zapewniam cię, dziś będziesz ze Mną w raju. Refleksja z okazji Wielkiego Piątku, 3 kwietnia 2026

Classic Edition - introduces thoughtfully selected vocals, making up 25% of the mix, enhancing the original instrumental storyline while seamlessly complementing the soulful and uniquely transcendent soundscapes. Curated and mixed by N'kay and Nim, this edition delivers a refined, soothing and mature listening experience. ENJOY THE MIX! BOOKINGS/ENQUIRES: KOTAEMBASSY@YAHOO.COM / 0616171298

Wybory mają to do siebie, że każdy z nich powoduje konsekwencje. Jedne potrafią wpływać na całe życie, inne zaś, powodują nieznaczną rysę na strukturze rzeczywistości. Sen potrafi być najlepszym znachorem dla psychiki, gdyż każda trauma, lęk, pragnienie i tęsknota znajdą w nim swoje odbicie. Bywa, że jest ono zakrzywione, ale często rozumie nas lepiej niż jakikolwiek bliski. Drużyna zdaje się być w komplecie, gdyż nowopoznana Inanis, choć wyjątkowo tajemnicza, doskonale zapełnia lukę jaką pozostawił po sobie Ammon. Nim jednak trafią do Rivington, gdzie przypomina o sobie rodzina Landy, mają jeszcze trochę do przegadania między sobą. Jednocześnie po tych wszystkich wydarzeniach przyda im się odrobina wytchnienia.Dungeons & Dragons powraca, po przerwie. Zapraszamy do obejrzenia naszego dotąd najbardziej ambitnego projektu, który łączy wątki Duetu z Berduska, Wrót Baldura oraz serii D&D Legendy.Kampania powstała przy wsparciu:⚔️ 5 ŻYWIOŁÓW: https://5zywiolow.com/

Niedzielą Palmową rozpoczynamy Wielki Tydzień, doroczny obchód misterium paschalnego Chrystusa. Błogosławimy dziś palmy, odczytujemy fragment o uroczystym wjeździe Pana Jezusa do Jerozolimy i pragniemy naśladować tłumy, które wiwatowały na Jego cześć. Jak Pan Jezus wszedł do Jerozolimy, tak dziś przychodzi do każdego z nas. Oby nie okazało się jednak, że stoimy w tłumie, który woła: „Hosanna”, a za chwilę będzie wołał: „Na krzyż z Nim!”. Niech udział w dzisiejszej liturgii pozwoli nam wejść głęboko we wszystkie wydarzenia rozpoczętego Wielkiego Tygodnia. Prośmy o łaskę, abyśmy uczestnicząc w nich przeżyli z Panem Jezusem szczery żal za naszą niewierność i nieprawości po to, aby z radością przyjąć dar nowego życia, które ofiaruje nam Zmartwychwstały.

Autorem świata jest Bóg, a my pod Nim, z Jego przyzwoleniem, by rządzić wszechświatem, wystawiani po drodze na próby biblijnych proporcji, ugrzęźnięci nie na końcu, lecz w połowie historii. A to za sprawą genialnego w swej prostocie i złożoności zarazem mechanizmu stałych przemian i dychotomii w najróżniejszych formach. Rozwiązaniem obecnej próby jest powrót do formuły wypracowanej przez ludzkość już dawno temu. Wszystko to państwu wyjaśnię i udowodnię w poniższym artykule.

Kol. 3,1-17 (1) Skoro więc razem z Chrystusem zostaliście wzbudzeni, zabiegajcie o to, co w górze, gdzie siedzi Chrystus po prawej stronie Boga. (2) Myślcie o tym, co w górze, nie o tym, co na ziemi. (3) Umarliście bowiem, a wasze życie jest ukryte wraz z Chrystusem w Bogu. (4) Gdy pojawi się Chrystus, który jest waszym życiem, wtedy i wy wraz z Nim pojawicie się w chwale. (5) Zadajcie zatem śmierć temu, co w członkach ziemskie. Mam na myśli rozwiązłość, nieczystość, zmysłowość, złe pragnienia i zachłanność równoznaczną z bałwochwalstwem. (6) One to ściągają Boży gniew na nieposłusznych synów. (7) Dawniej, gdy się do nich zaliczaliście, wasze postępowanie było podobne. (8) Teraz jednak odrzućcie to wszystko: gniew, porywczość, złość, oszczerstwo, obraźliwe wypowiedzi. (9) Przestańcie się też nawzajem okłamywać, skoro zdarliście z siebie starego człowieka wraz z jego postępkami, (10) a przywdzialiście nowego, który się nieustannie odnawia, by rozpoznać w sobie obraz swego Stwórcy. (11) Na tej drodze nie liczy się, czy ktoś jest Grekiem, czy Żydem, czy go obrzezano, czy nie, czy pochodzi z daleka, jest Scytą, niewolnikiem, czy wolnym — liczy się tylko Chrystus, który jest wszystkim i we wszystkich. (12) Dlatego jako ludzie wybrani przez Boga, święci i ukochani, przyjmijcie postawę serdecznego współczucia, dobroci, pokory, łagodności i cierpliwości. (13) Jako tacy okazujcie jedni drugim wyrozumiałość, gotowi wybaczyć sobie nawzajem, jeśli ktoś ma powód do skargi przeciw drugiemu — jak Chrystus darował wam, tak czyńcie i wy. (14) Przede wszystkim jednak kierujcie się miłością, która jest spójnią doskonałości. (15) Ponadto w waszych sercach niech panuje pokój Chrystusowy. Jako ludzie tworzący jedno Ciało zostaliście przecież do życia w nim powołani. Nie zapominajcie też o wdzięczności! (16) Niech was przepełnia Słowo Chrystusa: Z całą mądrością nauczajcie i napominajcie jedni drugich przez psalmy, hymny, pieśni płynące z natchnienia; wdzięczni Bogu śpiewajcie w waszych sercach. (17) I wszystko, cokolwiek czynicie, w słowie lub konkretnym działaniu, czyńcie w imieniu Pana Jezusa, dziękując przez Niego Bogu Ojcu. Nauczanie z dnia 22 marca 2026

Została sama w ciąży. Bez pewności jutra, bez stabilizacji, z ogromnym lękiem o przyszłość swojego dziecka. A jednak dziś mówi jasno: Bóg naprawdę się zatroszczył!

Mk. 4,35-41 (35) Tego samego dnia, wraz z nastaniem wieczoru, polecił im: Przeprawmy się na drugą stronę jeziora. (36) Pozostawili więc tłum i odpłynęli z Nim tak jak siedział w łodzi, a towarzyszyły Mu inne łodzie. (37) Wtem rozszalała się wielka burza. Zerwał się wiatr. Fale biły w łódź z taką siłą, że woda wypełniała już wnętrze. (38) On tymczasem był na rufie i spał na podgłówku. Obudzili Go więc i wołają: Nauczycielu, nie martwi Cię to, że giniemy? (39) Wtedy On wstał, stłumił wiatr i powiedział do rozszalałej toni: Zamilcz! Uspokój się! I ustał wiatr — i zapanowała wielka cisza. (40) Wówczas zwrócił się do nich: Dlaczego brak wam odwagi? Wciąż jeszcze nie macie wiary? (41) A ich ogarnął wielki strach, tak że zaczęli mówić jeden do drugiego: Kim On jest, że są Mu posłuszne nawet wiatr i wzburzone fale? Nauczanie z dnia 15 marca 2026

Join Kyle, Nader, Vibhu, and swyx live at NVIDIA GTC next week!Now that AIE Europe tix are ~sold out, our attention turns to Miami and World's Fair!The definitive AI Accelerator chip company has more than 10xed this AI Summer:And is now a $4.4 trillion megacorp… that is somehow still moving like a startup. We are blessed to have a unique relationship with our first ever NVIDIA guests: Kyle Kranen who gave a great inference keynote at the first World's Fair and is one of the leading architects of NVIDIA Dynamo (a Datacenter scale inference framework supporting SGLang, TRT-LLM, vLLM), and Nader Khalil, a friend of swyx from our days in Celo in The Arena, who has been drawing developers at GTC since before they were even a glimmer in the eye of NVIDIA:Nader discusses how NVIDIA Brev has drastically reduced the barriers to entry for developers to get a top of the line GPU up and running, and Kyle explains NVIDIA Dynamo as a data center scale inference engine that optimizes serving by scaling out, leveraging techniques like prefill/decode disaggregation, scheduling, and Kubernetes-based orchestration, framed around cost, latency, and quality tradeoffs. We also dive into Jensen's “SOL” (Speed of Light) first-principles urgency concept, long-context limits and model/hardware co-design, internal model APIs (https://build.nvidia.com), and upcoming Dynamo and agent sessions at GTC.Full Video pod on YouTubeTimestamps00:00 Agent Security Basics00:39 Podcast Welcome and Guests07:19 Acquisition and DevEx Shift13:48 SOL Culture and Dynamo Setup27:38 Why Scale Out Wins29:02 Scale Up Limits Explained30:24 From Laptop to Multi Node33:07 Cost Quality Latency Tradeoffs38:42 Disaggregation Prefill vs Decode41:05 Kubernetes Scaling with Grove43:20 Context Length and Co Design57:34 Security Meets Agents58:01 Agent Permissions Model59:10 Build Nvidia Inference Gateway01:01:52 Hackathons And Autonomy Dreams01:10:26 Local GPUs And Scaling Inference01:15:31 Long Running Agents And SF ReflectionsTranscriptAgent Security BasicsNader: Agents can do three things. They can access your files, they can access the internet, and then now they can write custom code and execute it. You literally only let an agent do two of those three things. If you can access your files and you can write custom code, you don't want internet access because that's one to see full vulnerability, right?If you have access to internet and your file system, you should know the full scope of what that agent's capable of doing. Otherwise, now we can get injected or something that can happen. And so that's a lot of what we've been thinking about is like, you know, how do we both enable this because it's clearly the future.But then also, you know, what, what are these enforcement points that we can start to like protect?swyx: All right.Podcast Welcome and Guestsswyx: Welcome to the Lean Space podcast in the Chromo studio. Welcome to all the guests here. Uh, we are back with our guest host Viu. Welcome. Good to have you back. And our friends, uh, Netter and Kyle from Nvidia. Welcome.Kyle: Yeah, thanks for having us.swyx: Yeah, thank you. Actually, I don't even know your titles.Uh, I know you're like architect something of Dynamo.Kyle: Yeah. I, I'm one of the engineering leaders [00:01:00] and a architects of Dynamo.swyx: And you're director of something and developers, developer tech.Nader: Yeah.swyx: You're the developers, developers, developers guy at nvidia,Nader: open source agent marketing, brev,swyx: and likeNader: Devrel tools and stuff.swyx: Yeah. BeenNader: the focus.swyx: And we're, we're kind of recording this ahead of Nvidia, GTC, which is coming to town, uh, again, uh, or taking over town, uh, which, uh, which we'll all be at. Um, and we'll talk a little bit about your sessions and stuff. Yeah.Nader: We're super excited for it.GTC Booth Stunt Storiesswyx: One of my favorite memories for Nader, like you always do like marketing stunts and like while you were at Rev, you like had this surfboard that you like, went down to GTC with and like, NA Nvidia apparently, like did so much that they bought you.Like what, what was that like? What was that?Nader: Yeah. Yeah, we, we, um. Our logo was a chaka. We, we, uh, we were always just kind of like trying to keep true to who we were. I think, you know, some stuff, startups, you're like trying to pretend that you're a bigger, more mature company than you are. And it was actually Evan Conrad from SF Compute who was just like, you guys are like previousswyx: guest.Yeah.Nader: Amazing. Oh, really? Amazing. Yeah. He was just like, guys, you're two dudes in the room. Why are you [00:02:00] pretending that you're not? Uh, and so then we were like, okay, let's make the logo a shaka. We brought surfboards to our booth to GTC and the energy was great. Yeah. Some palm trees too. They,Kyle: they actually poked out over like the, the walls so you could, you could see the bread booth.Oh, that's so funny. AndNader: no one else,Kyle: just from very far away.Nader: Oh, so you remember it backKyle: then? Yeah I remember it pre-acquisition. I was like, oh, those guys look cool,Nader: dude. That makes sense. ‘cause uh, we, so we signed up really last minute, and so we had the last booth. It was all the way in the corner. And so I was, I was worried that no one was gonna come.So that's why we had like the palm trees. We really came in with the surfboards. We even had one of our investors bring her dog and then she was just like walking the dog around to try to like, bring energy towards our booth. Yeah.swyx: Steph.Kyle: Yeah. Yeah, she's the best,swyx: you know, as a conference organizer, I love that.Right? Like, it's like everyone who sponsors a conference comes, does their booth. They're like, we are changing the future of ai or something, some generic b******t and like, no, like actually try to stand out, make it fun, right? And people still remember it after three years.Nader: Yeah. Yeah. You know what's so funny?I'll, I'll send, I'll give you this clip if you wanna, if you wanna add it [00:03:00] in, but, uh, my wife was at the time fiance, she was in medical school and she came to help us. ‘cause it was like a big moment for us. And so we, we bought this cricket, it's like a vinyl, like a vinyl, uh, printer. ‘cause like, how else are we gonna label the surfboard?So, we got a surfboard, luckily was able to purchase that on the company card. We got a cricket and it was just like fine tuning for enterprises or something like that, that we put on the. On the surfboard and it's 1:00 AM the day before we go to GTC. She's helping me put these like vinyl stickers on.And she goes, you son of, she's like, if you pull this off, you son of a b***h. And so, uh, right. Pretty much after the acquisition, I stitched that with the mag music acquisition. I sent it to our family group chat. Ohswyx: Yeah. No, well, she, she made a good choice there. Was that like basically the origin story for Launchable is that we, it was, and maybe we should explain what Brev is andNader: Yeah.Yeah. Uh, I mean, brev is just, it's a developer tool that makes it really easy to get a GPU. So we connect a bunch of different GPU sources. So the basics of it is like, how quickly can we SSH you into a G, into a GPU and whenever we would talk to users, they wanted A GPU. They wanted an A 100. And if you go to like any cloud [00:04:00] provisioning page, usually it's like three pages of forms or in the forms somewhere there's a dropdown.And in the dropdown there's some weird code that you know to translate to an A 100. And I remember just thinking like. Every time someone says they want an A 100, like the piece of text that they're telling me that they want is like, stuffed away in the corner. Yeah. And so we were like, what if the biggest piece of text was what the user's asking for?And so when you go to Brev, it's just big GPU chips with the type that you want withswyx: beautiful animations that you worked on pre, like pre you can, like, now you can just prompt it. But back in the day. Yeah. Yeah. Those were handcraft, handcrafted artisanal code.Nader: Yeah. I was actually really proud of that because, uh, it was an, i I made it in Figma.Yeah. And then I found, I was like really struggling to figure out how to turn it from like Figma to react. So what it actually is, is just an SVG and I, I have all the styles and so when you change the chip, whether it's like active or not it changes the SVG code and that somehow like renders like, looks like it's animating, but it, we just had the transition slow, but it's just like the, a JavaScript function to change the like underlying SVG.Yeah. And that was how I ended up like figuring out how to move it from from Figma. But yeah, that's Art Artisan. [00:05:00]Kyle: Speaking of marketing stunts though, he actually used those SVGs. Or kind of use those SVGs to make these cards.Nader: Oh yeah. LikeKyle: a GPU gift card Yes. That he handed out everywhere. That was actually my first impression of thatNader: one.Yeah,swyx: yeah, yeah.Nader: Yeah.swyx: I think I still have one of them.Nader: They look great.Kyle: Yeah.Nader: I have a ton of them still actually in our garage, which just, they don't have labels. We should honestly like bring, bring them back. But, um, I found this old printing press here, actually just around the corner on Ven ness. And it's a third generation San Francisco shop.And so I come in an excited startup founder trying to like, and they just have this crazy old machinery and I'm in awe. ‘cause the the whole building is so physical. Like you're seeing these machines, they have like pedals to like move these saws and whatever. I don't know what this machinery is, but I saw all three generations.Like there's like the grandpa, the father and the son, and the son was like, around my age. Well,swyx: it's like a holy, holy trinity.Nader: It's funny because we, so I just took the same SVG and we just like printed it and it's foil printing, so they make a a, a mold. That's like an inverse of like the A 100 and then they put the foil on it [00:06:00] and then they press it into the paper.And I remember once we got them, he was like, Hey, don't forget about us. You know, I guess like early Apple and Cisco's first business cards were all made there. And so he was like, yeah, we, we get like the startup businesses but then as they mature, they kind of go somewhere else. And so I actually, I think we were talking with marketing about like using them for some, we should go back and make some cards.swyx: Yeah, yeah, yeah. You know, I remember, you know, as a very, very small breadth investor, I was like, why are we spending time like, doing these like stunts for GPUs? Like, you know, I think like as a, you know, typical like cloud hard hardware person, you go into an AWS you pick like T five X xl, whatever, and it's just like from a list and you look at the specs like, why animate this GP?And, and I, I do think like it just shows the level of care that goes throughout birth and Yeah. And now, and also the, and,Nader: and Nvidia. I think that's what the, the thing that struck me most when we first came in was like the amount of passion that everyone has. Like, I think, um, you know, you talk to, you talk to Kyle, you talk to, like, every VP that I've met at Nvidia goes so close to the metal.Like, I remember it was almost a year ago, and like my VP asked me, he's like, Hey, [00:07:00] what's cursor? And like, are you using it? And if so, why? Surprised at this, and he downloaded Cursor and he was asking me to help him like, use it. And I thought that was, uh, or like, just show him what he, you know, why we were using it.And so, the amount of care that I think everyone has and the passion, appreciate, passion and appreciation for the moment. Right. This is a very unique time. So it's really cool to see everyone really like, uh, appreciate that.swyx: Yeah.Acquisition and DevEx Shiftswyx: One thing I wanted to do before we move over to sort of like research topics and, uh, the, the stuff that Kyle's working on is just tell the story of the acquisition, right?Like, not many people have been, been through an acquisition with Nvidia. What's it like? Uh, what, yeah, just anything you'd like to say.Nader: It's a crazy experience. I think, uh, you know, we were the thing that was the most exciting for us was. Our goal was just to make it easier for developers.We wanted to find access to GPUs, make it easier to do that. And then all, oh, actually your question about launchable. So launchable was just make one click exper, like one click deploys for any software on top of the GPU. Mm-hmm. And so what we really liked about Nvidia was that it felt like we just got a lot more resources to do all of that.I think, uh, you [00:08:00] know, NVIDIA's goal is to make things as easy for developers as possible. So there was a really nice like synergy there. I think that, you know, when it comes to like an acquisition, I think the amount that the soul of the products align, I think is gonna be. Is going speak to the success of the acquisition.Yeah. And so it in many ways feels like we're home. This is a really great outcome for us. Like we you know, I love brev.nvidia.com. Like you should, you should use it's, it's theKyle: front page for GPUs.Nader: Yeah. Yeah. If you want GP views,Kyle: you go there, getswyx: it there, and it's like internally is growing very quickly.I, I don't remember You said some stats there.Nader: Yeah, yeah, yeah. It's, uh, I, I wish I had the exact numbers, but like internally, externally, it's been growing really quickly. We've been working with a bunch of partners with a bunch of different customers and ISVs, if you have a solution that you want someone that runs on the GPU and you want people to use it quickly, we can bundle it up, uh, in a launchable and make it a one click run.If you're doing things and you want just like a sandbox or something to run on, right. Like open claw. Huge moment. Super exciting. Our, uh, and we'll talk into it more, but. You know, internally, people wanna run this, and you, we know we have to be really careful from the security implications. Do we let this run on the corporate network?Security's guidance was, Hey, [00:09:00] run this on breath, it's in, you know, it's, it's, it's a vm, it's sitting in the cloud, it's off the corporate network. It's isolated. And so that's been our stance internally and externally about how to even run something like open call while we figure out how to run these things securely.But yeah,swyx: I think there's also like, you almost like we're the right team at the right time when Nvidia is starting to invest a lot more in developer experience or whatever you call it. Yeah. Uh, UX or I don't know what you call it, like software. Like obviously NVIDIA is always invested in software, but like, there's like, this is like a different audience.Yeah. It's aNader: widerKyle: developer base.swyx: Yeah. Right.Nader: Yeah. Yeah. You know, it's funny, it's like, it's not, uh,swyx: so like, what, what is it called internally? What, what is this that people should be aware that is going on there?Nader: Uh, what, like developer experienceswyx: or, yeah, yeah. Is it's called just developer experience or is there like a broader strategy hereNader: in Nvidia?Um, Nvidia always wants to make a good developer experience. The thing is and a lot of the technology is just really complicated. Like, it's not, it's uh, you know, I think, um. The thing that's been really growing or the AI's growing is having a huge moment, not [00:10:00] because like, let's say data scientists in 2018, were quiet then and are much louder now.The pie is com, right? There's a whole bunch of new audiences. My mom's wondering what she's doing. My sister's learned, like taught herself how to code. Like the, um, you know, I, I actually think just generally AI's a big equalizer and you're seeing a more like technologically literate society, I guess.Like everyone's, everyone's learning how to code. Uh, there isn't really an excuse for that. And so building a good UX means that you really understand who your end user is. And when your end user becomes such a wide, uh, variety of people, then you have to almost like reinvent the practice, right? Yeah. You haveKyle: to, and actually build more developer ux, right?Because the, there are tiers of developer base that were added. You know, the, the hackers that are building on top of open claw, right? For example, have never used gpu. They don't know what kuda is. They, they, they just want to run something.Nader: Yeah.Kyle: You need new UX that is not just. Hey, you know, how do you program something in Cuda and run it?And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like [00:11:00] layers that are added to that developer stack has just exploded because AI has become ubiquitous. Everyone's using it in different ways. Yeah. It'sNader: moving fast in every direction.Vertical, horizontal.Vibhu: Yeah. You guys, you even take it down to hardware, like the DGX Spark, you know, it's, it's basically the same system as just throwing it up on big GPU cluster.Nader: Yeah, yeah, yeah. It's amazing. Blackwell.swyx: Yeah. Uh, we saw the preview at the last year's GTC and that was one of the better performing, uh, videos so far, and video coverage so far.Awesome. This will beat it. Um,Nader: that wasswyx: actually, we have fingersNader: crossed. Yeah.DGX Spark and Remote AccessNader: Even when Grace Blackwell or when, um, uh, DGX Spark was first coming out getting to be involved in that from the beginning of the developer experience. And it just comes back to what youswyx: were involved.Nader: Yeah. St. St.swyx: Mars.Nader: Yeah. Yeah. I mean from, it was just like, I, I got an email, we just got thrown into the loop and suddenly yeah, I, it was actually really funny ‘cause I'm still pretty fresh from the acquisition and I'm, I'm getting an email from a bunch of the engineering VPs about like, the new hardware, GPU chip, like we're, or not chip, but just GPU system that we're putting out.And I'm like, okay, cool. Matters. Now involved with this for the ux, I'm like. What am I gonna do [00:12:00] here? So, I remember the first meeting, I was just like kind of quiet as I was hearing engineering VPs talk about what this box could be, what it could do, how we should use it. And I remember, uh, one of the first ideas that people were idea was like, oh, the first thing that it was like, I think a quote was like, the first thing someone's gonna wanna do with this is get two of them and run a Kubernetes cluster on top of them.And I was like, oh, I think I know why I'm here. I was like, the first thing we're doing is easy. SSH into the machine. And then, and you know, just kind of like scoping it down of like, once you can do that every, you, like the person who wants to run a Kubernetes cluster onto Sparks has a higher propensity for pain, then, then you know someone who buys it and wants to run open Claw right now, right?If you can make sure that that's as effortless as possible, then the rest becomes easy. So there's a tool called Nvidia Sync. It just makes the SSH connection really simple. So, you know, if you think about it like. If you have a Mac, uh, or a PC or whatever, if you have a laptop and you buy this GPU and you want to use it, you should be able to use it like it's A-A-G-P-U in the cloud, right?Um, but there's all this friction of like, how do you actually get into that? That's part of [00:13:00] Revs value proposition is just, you know, there's a CLI that wraps SSH and makes it simple. And so our goal is just get you into that machine really easily. And one thing we just launched at CES, it's in, it's still in like early access.We're ironing out some kinks, but it should be ready by GTC. You can register your spark on Brev. And so now if youswyx: like remote managed yeah, local hardware. Single pane of glass. Yeah. Yeah. Because Brev can already manage other clouds anyway, right?Vibhu: Yeah, yeah. And you use the spark on Brev as well, right?Nader: Yeah. But yeah, exactly. So, so you, you, so you, you set it up at home you can run the command on it, and then it gets it's essentially it'll appear in your Brev account, and then you can take your laptop to a Starbucks or to a cafe, and you'll continue to use your, you can continue use your spark just like any other cloud node on Brev.Yeah. Yeah. And it's just like a pre-provisioned centerswyx: in yourNader: home. Yeah, exactly.swyx: Yeah. Yeah.Vibhu: Tiny little data center.Nader: Tiny little, the size ofVibhu: your phone.SOL Culture and Dynamo Setupswyx: One more thing before we move on to Kyle. Just have so many Jensen stories and I just love, love mining Jensen stories. Uh, my favorite so far is SOL. Uh, what is, yeah, what is S-O-L-S-O-LNader: is actually, i, I think [00:14:00] of all the lessons I've learned, that one's definitely my favorite.Kyle: It'll always stick with you.Nader: Yeah. Yeah. I, you know, in your startup, everything's existential, right? Like we've, we've run out of money. We were like, on the risk of, of losing payroll, we've had to contract our team because we l ran outta money. And so like, um, because of that you're really always forcing yourself to I to like understand the root cause of everything.If you get a date, if you get a timeline, you know exactly why that date or timeline is there. You're, you're pushing every boundary and like, you're not just say, you're not just accepting like a, a no. Just because. And so as you start to introduce more layers, as you start to become a much larger organization, SOL is is essentially like what is the physics, right?The speed of light moves at a certain speed. So if flight's moving some slower, then you know something's in the way. So before trying to like layer reality back in of like, why can't this be delivered at some date? Let's just understand the physics. What is the theoretical limit to like, uh, how fast this can go?And then start to tell me why. ‘cause otherwise people will start telling you why something can't be done. But actually I think any great leader's goal is just to create urgency. Yeah. [00:15:00] There's an infiniteKyle: create compelling events, right?Nader: Yeah.Kyle: Yeah. So l is a term video is used to instigate a compelling event.You say this is done. How do we get there? What is the minimum? As much as necessary, as little as possible thing that it takes for us to get exactly here and. It helps you just break through a bunch of noise.swyx: Yeah.Kyle: Instantly.swyx: One thing I'm unclear about is, can only Jensen use the SOL card? Like, oh, no, no, no.Not everyone get the b******t out because obviously it's Jensen, but like, can someone else be like, no, likeKyle: frontline engineers use it.Nader: Yeah. Every, I think it's not so much about like, get the b******t out. It's like, it's like, give me the root understanding, right? Like, if you tell me something takes three weeks, it like, well, what's the first principles?Yeah, the first principles. It's like, what's the, what? Like why is it three weeks? What is the actual yeah. What's the actual limit of why this is gonna take three weeks? If you're gonna, if you, if let's say you wanted to buy a new computer and someone told you it's gonna be here in five days, what's the SOL?Well, like the SOL is like, I could walk into a Best Buy and pick it up for you. Right? So then anything that's like beyond that is, and is that practical? Is that how we're gonna, you know, let's say give everyone in the [00:16:00] company a laptop, like obviously not. So then like that's the SOL and then it's like, okay, well if we have to get more than 10, suddenly there might be some, right?And so now we can kind of piece the reality back.swyx: So, so this is the. Paul Graham do things that don't scale. Yeah. And this is also the, what people would now call behi agency. Yeah.Kyle: It's actually really interesting because there's a, there's a second hardware angle to SOL that like doesn't come up for all the org sol is used like culturally at aswyx: media for everything.I'm also mining for like, I think that can be annoying sometimes. And like someone keeps going IOO you and you're like, guys, like we have to be stable. We have to, we to f*****g plan. Yeah.Kyle: It's an interesting balance.Nader: Yeah. I encounter that with like, actually just with, with Alec, right? ‘cause we, we have a new conference so we need to launch, we have, we have goals of what we wanna launch by, uh, by the conference and like, yeah.At the end of the day, where isswyx: this GTC?Nader: Um, well this is like, so we, I mean we did it for CES, we did for GT CDC before that we're doing it for GTC San Jose. So I mean, like every, you know, we have a new moment. Um, and we want to launch something. Yeah. And we want to do so at SOL and that does mean that some, there's some level of prioritization that needs [00:17:00] to happen.And so it, it is difficult, right? I think, um, you have to be careful with what you're pushing. You know, stability is important and that should be factored into S-O-L-S-O-L isn't just like, build everything and let it break, you know, that, that's part of the conversation. So as you're laying, layering in all the details, one of them might be, Hey, we could build this, but then it's not gonna be stable for X, y, z reasons.And so that was like, one of our conversations for CES was, you know, hey, like we, we can get this into early access registering your spark with brev. But there are a lot of things that we need to do in order to feel really comfortable from a security perspective, right? There's a lot of networking involved before we deliver that to users.So it's like, okay. Let's get this to a point where we can at least let people experiment with it. We had it in a booth, we had it in Jensen's keynote, and then let's go iron out all the networking kinks. And that's not easy. And so, uh, that can come later. And so that was the way that we layered that back in.Yeah. ButKyle: It's not really about saying like, you don't have to do the, the maintenance or operational work. It's more about saying, you know, it's kind of like [00:18:00] highlights how progress is incremental, right? Like, what is the minimum thing that we can get to. And then there's SOL for like every component after that.But there's the SOL to get you, get you to the, the starting line. And that, that's usually how it's asked. Yeah. On the other side, you know, like SOL came out of like hardware at Nvidia. Right. So SOL is like literally if we ran the accelerator or the GPU with like at basically full speed with like no other constraints, like how FAST would be able to make a program go.swyx: Yeah. Yeah. Right.Kyle: Soswyx: in, in training that like, you know, then you work back to like some percentage of like MFU for example.Kyle: Yeah, that's a, that's a great example. So like, there's an, there's an S-O-L-M-F-U, and then there's like, you know, what's practically achievable.swyx: Cool. Should we move on to sort of, uh, Kyle's side?Uh, Kyle, you're coming more from the data science world. And, uh, I, I mean I always, whenever, whenever I meet someone who's done working in tabular stuff, graph neural networks, time series, these are basically when I go to new reps, I go to ICML, I walk the back halls. There's always like a small group of graph people.Yes. Absolute small group of tabular people. [00:19:00] And like, there's no one there. And like, it's very like, you know what I mean? Like, yeah, no, like it's, it's important interesting work if you care about solving the problems that they solve.Kyle: Yeah.swyx: But everyone else is just LMS all the time.Kyle: Yeah. I mean it's like, it's like the black hole, right?Has the event horizon reached this yet in nerves? Um,swyx: but like, you know, those are, those are transformers too. Yeah. And, and those are also like interesting things. Anyway, uh, I just wanted to spend a little bit of time on, on those, that background before we go into Dynamo, uh, proper.Kyle: Yeah, sure. I took a different path to Nvidia than that, or I joined six years ago, seven, if you count, when I was an intern.So I joined Nvidia, like right outta college. And the first thing I jumped into was not what I'd done in, during internship, which was like, you know, like some stuff for autonomous vehicles, like heavyweight object detection. I jumped into like, you know, something, I'm like, recommenders, this is popular. Andswyx: yeah, he did RexiKyle: as well.Yeah, Rexi. Yeah. I mean that, that was the taboo data at the time, right? You have tables of like, audience qualities and item qualities, and you're trying to figure out like which member of [00:20:00] the audience matches which item or, or more practically which item matches which member of the audience. And at the time, really it was like we were trying to enable.Uh, recommender, which had historically been like a little bit of a CP based workflow into something that like, ran really well in GPUs. And it's since been done. Like there are a bunch of libraries for Axis that run on GPUs. Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.But it was very interesting at the time and super, super relevant because like we were starting to get like. This explosion of feeds and things that required rec recommenders to just actively be on all the time. And sort of transitioned that a little bit towards graph neural networks when I discovered them because I was like, okay, you can actually use graphical neural networks to represent like, relationships between people, items, concepts, and that, that interested me.So I jumped into that at [00:21:00] Nvidia and, and got really involved for like two-ish years.swyx: Yeah. Uh, and something I learned from Brian Zaro Yeah. Is that you can just kind of choose your own path in Nvidia.Kyle: Oh my God. Yeah.swyx: Which is not a normal big Corp thing. Yeah. Like you, you have a lane, you stay in your lane.Nader: I think probably the reason why I enjoy being in a, a big company, the mission is the boss probably from a startup guy. Yeah. The missionswyx: is the boss.Nader: Yeah. Uh, it feels like a big game of pickup basketball. Like, you know, if you play one, if you wanna play basketball, you just go up to the court and you're like, Hey look, we're gonna play this game and we need three.Yeah. And you just like find your three. That's honestly for every new initiative that's what it feels like. Yeah.Vibhu: It also like shows, right? Like Nvidia. Just releasing state-of-the-art stuff in every domain. Yeah. Like, okay, you expect foundation models with Nemo tron voice just randomly parakeet.Call parakeet just comes out another one, uh, voice. TheKyle: video voice team has always been producing.Vibhu: Yeah. There's always just every other domain of paper that comes out, dataset that comes out. It's like, I mean, it also stems back to what Nvidia has to do, right? You have to make chips years before they're actually produced.Right? So you need to know, you need to really [00:22:00] focus. TheKyle: design process starts likeVibhu: exactlyKyle: three to five years before the chip gets to the market.Vibhu: Yeah. I, I'm curious more about what that's like, right? So like, you have specialist teams. Is it just like, you know, people find an interest, you go in, you go deep on whatever, and that kind of feeds back into, you know, okay, we, we expect predictions.Like the internals at Nvidia must be crazy. Right? You know? Yeah. Yeah. You know, you, you must. Not even without selling to people, you have your own predictions of where things are going. Yeah. And they're very based, very grounded. Right?Kyle: Yeah. It, it, it's really interesting. So there's like two things that I think that Amed does, which are quite interesting.Uh, one is like, we really index into passion. There's a big. Sort of organizational top sound push to like ensure that people are working on the things that they're passionate about. So if someone proposes something that's interesting, many times they can just email someone like way up the chain that they would find this relevant and say like, Hey, can I go work on this?Nader: It's actually like I worked at a, a big company for a couple years before, uh, starting on my startup journey and like, it felt very weird if you were to like email out of chain, if that makes [00:23:00] sense. Yeah. The emails at Nvidia are like mosh pitsswyx: shoot,Nader: and it's just like 60 people, just whatever. And like they're, there's this,swyx: they got messy like, reply all you,Nader: oh, it's in, it's insane.It's insane. They justKyle: help. You know, Maxim,Nader: the context. But, but that's actually like, I've actually, so this is a weird thing where I used to be like, why would we send emails? We have Slack. I am the entire, I'm the exact opposite. I feel so bad for anyone who's like messaging me on Slack ‘cause I'm so unresponsive.swyx: Your emailNader: Maxi, email Maxim. I'm email maxing Now email is a different, email is perfect because man, we can't work together. I'm email is great, right? Because important threads get bumped back up, right? Yeah, yeah. Um, and so Slack doesn't do that. So I just have like this casino going off on the right or on the left and like, I don't know which thread was from where or what, but like the threads get And then also just like the subject, so you can have like working threads.I think what's difficult is like when you're small, if you're just not 40,000 people I think Slack will work fine, but there's, I don't know what the inflection point is. There is gonna be a point where that becomes really messy and you'll actually prefer having email. ‘cause you can have working threads.You can cc more than nine people in a thread.Kyle: You can fork stuff.Nader: You can [00:24:00] fork stuff, which is super nice and just like y Yeah. And so, but that is part of where you can propose a plan. You can also just. Start, honestly, momentum's the only authority, right? So like, if you can just start, start to make a little bit of progress and show someone something, and then they can try it.That's, I think what's been, you know, I think the most effective way to push anything for forward. And that's both at Nvidia and I think just generally.Kyle: Yeah, there's, there's the other concept that like is explored a lot at Nvidia, which is this idea of a zero billion dollar business. Like market creation is a big thing at Nvidia.Like,swyx: oh, you want to go and start a zero billion dollar business?Kyle: Jensen says, we are completely happy investing in zero billion dollar markets. We don't care if this creates revenue. It's important for us to know about this market. We think it will be important in the future. It can be zero billion dollars for a while.I'm probably minging as words here for, but like, you know, like, I'll give an example. NVIDIA's been working on autonomous driving for a a long time,swyx: like an Nvidia car.Kyle: No, they, they'veVibhu: used the Mercedes, right? They're around the HQ and I think it finally just got licensed out. Now they're starting to be used quite a [00:25:00] bit.For 10 years you've been seeing Mercedes with Nvidia logos driving.Kyle: If you're in like the South San Santa Clara, it's, it's actually from South. Yeah. So, um. Zero billion dollar markets are, are a thing like, you know, Jensen,swyx: I mean, okay, look, cars are not a zero billion dollar market. But yeah, that's a bad example.Nader: I think, I think he's, he's messaging, uh, zero today, but, or even like internally, right? Like, like it's like, uh, an org doesn't have to ruthlessly find revenue very quickly to justify their existence. Right. Like a lot of the important research, a lot of the important technology being developed that, that's kind ofKyle: where research, research is very ide ideologically free at Nvidia.Yeah. Like they can pursue things that they wereswyx: Were you research officially?Kyle: I was never in research. Officially. I was always in engineering. Yeah. We in, I'm in an org called Deep Warning Algorithms, which is basically just how do we make things that are relevant to deep warning go fast.swyx: That sounds freaking cool.Vibhu: And I think a lot of that is underappreciated, right? Like time series. This week Google put out time. FF paper. Yeah. A new time series, paper res. Uh, Symantec, ID [00:26:00] started applying Transformers LMS to Yes. Rec system. Yes. And when you think the scale of companies deploying these right. Amazon recommendations, Google web search, it's like, it's huge scale andKyle: Yeah.Vibhu: You want fast?Kyle: Yeah. Yeah. Yeah. Actually it's, it, I, there's a fun moment that brought me like full circle. Like, uh, Amazon Ads recently gave a talk where they talked about using Dynamo for generative recommendation, which was like super, like weirdly cathartic for me. I'm like, oh my God. I've, I've supplanted what I was working on.Like, I, you're using LMS now to do what I was doing five years ago.swyx: Yeah. Amazing. And let's go right into Dynamo. Uh, maybe introduce Yeah, sure. To the top down and Yeah.Kyle: I think at this point a lot of people are familiar with the term of inference. Like funnily enough, like I went from, you know, inference being like a really niche topic to being something that's like discussed on like normal people's Twitter feeds.It's,Nader: it's on billboardsKyle: here now. Yeah. Very, very strange. Driving, driving, seeing just an inference ad on 1 0 1 inference at scale is becoming a lot more important. Uh, we have these moments like, you know, open claw where you have these [00:27:00] agents that take lots and lots of tokens, but produce, incredible results.There are many different aspects of test time scaling so that, you know, you can use more inference to generate a better result than if you were to use like a short amount of inference. There's reasoning, there's quiring, there's, adding agency to the model, allowing it to call tools and use skills.Dyno sort came about at Nvidia. Because myself and a couple others were, were sort of talking about the, these concepts that like, you know, you have inference engines like VLMS, shelan, tenor, TLM and they have like one single copy. They, they, they sort of think about like things as like one single copy, like one replica, right?Why Scale Out WinsKyle: Like one version of the model. But when you're actually serving things at scale, you can't just scale up that replica because you end up with like performance problems. There's a scaling limit to scaling up replicas. So you actually have to scale out to use a, maybe some Kubernetes type terminology.We kind of realized that there was like. A lot of potential optimization that we could do in scaling out and building systems for data [00:28:00] center scale inference. So Dynamo is this data center scale inference engine that sits on top of the frameworks like VLM Shilling and 10 T lm and just makes things go faster because you can leverage the economy of scale.The fact that you have KV cash, which we can define a little bit later, uh, in all these machines that is like unique and you wanna figure out like the ways to maximize your cash hits or you want to employ new techniques in inference like disaggregation, which Dynamo had introduced to the world in, in, in March, not introduced, it was a academic talk, but beforehand.But we are, you know, one of the first frameworks to start, supporting it. And we wanna like, sort of combine all these techniques into sort of a modular framework that allows you to. Accelerate your inference at scale.Nader: By the way, Kyle and I became friends on my first date, Nvidia, and I always loved, ‘cause like he always teaches meswyx: new things.Yeah. By the way, this is why I wanted to put two of you together. I was like, yeah, this is, this is gonna beKyle: good. It's very, it's very different, you know, like we've, we, we've, we've talked to each other a bunch [00:29:00] actually, you asked like, why, why can't we scale up?Nader: Yeah.Scale Up Limits ExplainedNader: model, you said model replicas.Kyle: Yeah. So you, so scale up means assigning moreswyx: heavier?Kyle: Yeah, heavier. Like making things heavier. Yeah, adding more GPUs. Adding more CPUs. Scale out is just like having a barrier saying, I'm gonna duplicate my representation of the model or a representation of this microservice or something, and I'm gonna like, replicate it Many times.Handle, load. And the reason that you can't scale, scale up, uh, past some points is like, you know, there, there, there are sort of hardware bounds and algorithmic bounds on, on that type of scaling. So I'll give you a good example that's like very trivial. Let's say you're on an H 100. The Maxim ENV link domain for H 100, for most Ds H one hundreds is heus, right?So if you scaled up past that, you're gonna have to figure out ways to handle the fact that now for the GPUs to communicate, you have to do it over Infin band, which is still very fast, but is not as fast as ENV link.swyx: Is it like one order of magnitude, like hundreds or,Kyle: it's about an order of magnitude?Yeah. Okay. Um, soswyx: not terrible.Kyle: [00:30:00] Yeah. I, I need to, I need to remember the, the data sheet here, like, I think it's like about 500 gigabytes. Uh, a second unidirectional for ENV link, and about 50 gigabytes a second unidirectional for Infin Band. I, it, it depends on the, the generation.swyx: I just wanna set this up for people who are not familiar with these kinds of like layers and the trash speedVibhu: and all that.Of course.From Laptop to Multi NodeVibhu: Also, maybe even just going like a few steps back before that, like most people are very familiar with. You see a, you know, you can use on your laptop, whatever these steel viol, lm you can just run inference there. All, there's all, you can, youcan run it on thatVibhu: laptop. You can run on laptop.Then you get to, okay, uh, models got pretty big, right? JLM five, they doubled the size, so mm-hmm. Uh, what do you do when you have to go from, okay, I can get 128 gigs of memory. I can run it on a spark. Then you have to go multi GPU. Yeah. Okay. Multi GPU, there's some support there. Now, if I'm a company and I don't have like.I'm not hiring the best researchers for this. Right. But I need to go [00:31:00] multi-node, right? I have a lot of servers. Okay, now there's efficiency problems, right? You can have multiple eight H 100 nodes, but, you know, is that as a, like, how do you do that efficiently?Kyle: Yeah. How do you like represent them? How do you choose how to represent the model?Yeah, exactly right. That's a, that's like a hard question. Everyone asks, how do you size oh, I wanna run GLM five, which just came out new model. There have been like four of them in the past week, by the way, like a bunch of new models.swyx: You know why? Right? Deep seek.Kyle: No comment. Oh. Yeah, but Ggl, LM five, right?We, we have this, new model. It's, it's like a large size, and you have to figure out how to both scale up and scale out, right? Because you have to find the right representation that you care about. Everyone does this differently. Let's be very clear. Everyone figures this out in their own path.Nader: I feel like a lot of AI or ML even is like, is like this. I think people think, you know, I, I was, there was some tweet a few months ago that was like, why hasn't fine tuning as a service taken off? You know, that might be me. It might have been you. Yeah. But people want it to be such an easy recipe to follow.But even like if you look at an ML model and specificKyle: to you Yeah,Nader: yeah.Kyle: And the [00:32:00] model,Nader: the situation, and there's just so much tinkering, right? Like when you see a model that has however many experts in the ME model, it's like, why that many experts? I don't, they, you know, they tried a bunch of things and that one seemed to do better.I think when it comes to how you're serving inference, you know, you have a bunch of decisions to make and there you can always argue that you can take something and make it more optimal. But I think it's this internal calibration and appetite for continued calibration.Vibhu: Yeah. And that doesn't mean like, you know, people aren't taking a shot at this, like tinker from thinking machines, you know?Yeah. RL as a service. Yeah, totally. It's, it also gets even harder when you try to do big model training, right? We're not the best at training Moes, uh, when they're pre-trained. Like we saw this with LAMA three, right? They're trained in such a sparse way that meta knows there's gonna be a bunch of inference done on these, right?They'll open source it, but it's very trained for what meta infrastructure wants, right? They wanna, they wanna inference it a lot. Now the question to basically think about is, okay, say you wanna serve a chat application, a coding copilot, right? You're doing a layer of rl, you're serving a model for X amount of people.Is it a chat model, a coding model? Dynamo, you know, back to that,Kyle: it's [00:33:00] like, yeah, sorry. So you we, we sort of like jumped off of, you know, jumped, uh, on that topic. Everyone has like, their own, own journey.Cost Quality Latency TradeoffsKyle: And I, I like to think of it as defined by like, what is the model you need? What is the accuracy you need?Actually I talked to NA about this earlier. There's three axes you care about. What is the quality that you're able to produce? So like, are you accurate enough or can you complete the task with enough, performance, high enough performance. Yeah, yeah. Uh, there's cost. Can you serve the model or serve your workflow?Because it's not just the model anymore, it's the workflow. It's the multi turn with an agent cheaply enough. And then can you serve it fast enough? And we're seeing all three of these, like, play out, like we saw, we saw new models from OpenAI that you know, are faster. You have like these new fast versions of models.You can change the amount of thinking to change the amount of quality, right? Produce more tokens, but at a higher cost in a, in a higher latency. And really like when you start this journey of like trying to figure out how you wanna host a model, you, you, you think about three things. What is the model I need to serve?How many times do I need to call it? What is the input sequence link was [00:34:00] the, what does the workflow look like on top of it? What is the SLA, what is the latency SLA that I need to achieve? Because there's usually some, this is usually like a constant, you, you know, the SLA that you need to hit and then like you try and find the lowest cost version that hits all of these constraints.Usually, you know, you, you start with those things and you say you, you kind of do like a bit of experimentation across some common configurations. You change the tensor parallel size, which is a form of parallelismVibhu: I take, it goes even deeper first. Gotta think what model.Kyle: Yes, course,ofKyle: course. It's like, it's like a multi-step design process because as you said, you can, you can choose a smaller model and then do more test time scaling and it'll equate the quality of a larger model because you're doing the test time scaling or you're adding a harness or something.So yes, it, it goes way deeper than that. But from the performance perspective, like once you get to the model you need, you need to host, you look at that and you say, Hey. I have this model, I need to serve it at the speed. What is the right configuration for that?Nader: You guys see the recent, uh, there was a paper I just saw like a few days ago that, uh, if you run [00:35:00] the same prompt twice, you're getting like double Just try itagain.Nader: Yeah, exactly.Vibhu: And you get a lot. Yeah. But the, the key thing there is you give the context of the failed try, right? Yeah. So it takes a shot. And this has been like, you know, basic guidance for quite a while. Just try again. ‘cause you know, trying, just try again. Did you try again? All adviceNader: in life.Vibhu: Just, it's a paper from Google, if I'm not mistaken, right?Yeah,Vibhu: yeah. I think it, it's like a seven bas little short paper. Yeah. Yeah. The title's very cute. And it's just like, yeah, just try again. Give it ask context,Kyle: multi-shot. You just like, say like, hey, like, you know, like take, take a little bit more, take a little bit more information, try and fail. Fail.Vibhu: And that basic concept has gone pretty deep.There's like, um, self distillation, rl where you, you do self distillation, you do rl and you have past failure and you know, that gives some signal so people take, try it again. Not strong enough.swyx: Uh, for, for listeners, uh, who listen to here, uh, vivo actually, and I, and we run a second YouTube channel for our paper club where, oh, that's awesome.Vivo just covered this. Yeah. Awesome. Self desolation and all that's, that's why he, to speed [00:36:00] on it.Nader: I'll to check it out.swyx: Yeah. It, it's just a good practice, like everyone needs, like a paper club where like you just read papers together and the social pressure just kind of forces you to just,Nader: we, we,there'sNader: like a big inference.Kyle: ReadingNader: group at a video. I feel so bad every time. I I, he put it on like, on our, he shared it.swyx: One, one ofNader: your guys,swyx: uh, is, is big in that, I forget es han Yeah, yeah,Kyle: es Han's on my team. Actually. Funny. There's a, there's a, there's a employee transfer between us. Han worked for Nater at Brev, and now he, he's on my team.He wasNader: our head of ai. And then, yeah, once we got in, andswyx: because I'm always looking for like, okay, can, can I start at another podcast that only does that thing? Yeah. And, uh, Esan was like, I was trying to like nudge Esan into like, is there something here? I mean, I don't think there's, there's new infant techniques every day.So it's like, it's likeKyle: you would, you would actually be surprised, um, the amount of blog posts you see. And ifswyx: there's a period where it was like, Medusa hydra, what Eagle, like, youKyle: know, now we have new forms of decode, uh, we have new forms of specula, of decoding or new,swyx: what,Kyle: what are youVibhu: excited? And it's exciting when you guys put out something like Tron.‘cause I remember the paper on this Tron three, [00:37:00] uh, the amount of like post train, the on tokens that the GPU rich can just train on. And it, it was a hybrid state space model, right? Yeah.Kyle: It's co-designed for the hardware.Vibhu: Yeah, go design for the hardware. And one of the things was always, you know, the state space models don't scale as well when you do a conversion or whatever the performance.And you guys are like, no, just keep draining. And Nitron shows a lot of that. Yeah.Nader: Also, something cool about Nitron it was released in layers, if you will, very similar to Dynamo. It's, it's, it's essentially it was released as you can, the pre-training, post-training data sets are released. Yeah. The recipes on how to do it are released.The model itself is released. It's full model. You just benefit from us turning on the GPUs. But there are companies like, uh, ServiceNow took the dataset and they trained their own model and we were super excited and like, you know, celebrated that work.ZoomVibhu: different. Zoom is, zoom is CGI, I think, uh, you know, also just to add like a lot of models don't put out based models and if there's that, why is fine tuning not taken off?You know, you can do your own training. Yeah,Kyle: sure.Vibhu: You guys put out based model, I think you put out everything.Nader: I believe I know [00:38:00]swyx: about base. BasicallyVibhu: without baseswyx: basic can be cancelable.Vibhu: Yeah. Base can be cancelable.swyx: Yeah.Vibhu: Safety training.swyx: Did we get a full picture of dymo? I, I don't know if we, what,Nader: what I'd love is you, you mentioned the three axes like break it down of like, you know, what's prefilled decode and like what are the optimizations that we can get with Dynamo?Kyle: Yeah. That, that's, that's, that's a great point. So to summarize on that three axis problem, right, there are three things that determine whether or not something can be done with inference, cost, quality, latency, right? Dynamo is supposed to be there to provide you like the runtime that allows you to pull levers to, you know, mix it up and move around the parade of frontier or the preto surface that determines is this actually possible with inference And AI todayNader: gives you the knobs.Kyle: Yeah, exactly. It gives you the knobs.Disaggregation Prefill vs DecodeKyle: Uh, and one thing that like we, we use a lot in contemporary inference and is, you know, starting to like pick up from, you know, in, in general knowledge is this co concept of disaggregation. So historically. Models would be hosted with a single inference engine. And that inference engine [00:39:00] would ping pong between two phases.There's prefill where you're reading the sequence generating KV cache, which is basically just a set of vectors that represent the sequence. And then using that KV cache to generate new tokens, which is called Decode. And some brilliant researchers across multiple different papers essentially made the realization that if you separate these two phases, you actually gain some benefits.Those benefits are basically a you don't have to worry about step synchronous scheduling. So the way that an inference engine works is you do one step and then you finish it, and then you schedule, you start scheduling the next step there. It's not like fully asynchronous. And the problem with that is you would have, uh, essentially pre-fill and decode are, are actually very different in terms of both their resource requirements and their sometimes their runtime.So you would have like prefill that would like block decode steps because you, you'd still be pre-filing and you couldn't schedule because you know the step has to end. So you remove that scheduling issue and then you also allow you, or you yourself, to like [00:40:00] split the work into two different ki types of pools.So pre-fill typically, and, and this changes as, as model architecture changes. Pre-fill is, right now, compute bound most of the time with the sequence is sufficiently long. It's compute bound. On the decode side because you're doing a full Passover, all the weights and the entire sequence, every time you do a decode step and you're, you don't have the quadratic computation of KV cache, it's usually memory bound because you're retrieving a linear amount of memory and you're doing a linear amount of compute as opposed to prefill where you retrieve a linear amount of memory and then use a quadratic.You know,Nader: it's funny, someone exo Labs did a really cool demo where for the DGX Spark, which has a lot more compute, you can do the pre the compute hungry prefill on a DG X spark and then do the decode on a, on a Mac. Yeah. And soVibhu: that's faster.Nader: Yeah. Yeah.Kyle: So you could, you can do that. You can do machine strat stratification.Nader: Yeah.Kyle: And like with our future generation generations of hardware, we actually announced, like with Reuben, this [00:41:00] new accelerator that is prefilled specific. It's called Reuben, CPX. SoKubernetes Scaling with GroveNader: I have a question when you do the scale out. Yeah. Is scaling out easier with Dynamo? Because when you need a new node, you can dedicate it to either the Prefill or, uh, decode.Kyle: Yeah. So Dynamo actually has like a, a Kubernetes component in it called Grove that allows you to, to do this like crazy scaling specialization. It has like this hot, it's a representation that, I don't wanna go too deep into Kubernetes here, but there was a previous way that you would like launch multi-node work.Uh, it's called Leader Worker Set. It's in the Kubernetes standard, and Leader worker set is great. It served a lot of people super well for a long period of time. But one of the things that it's struggles with is representing a set of cases where you have a multi-node replica that has a pair, right?You know, prefill and decode, or it's not paired, but it has like a second stage that has a ratio that changes over time. And prefill and decode are like two different things as your workload changes, right? The amount of prefill you'll need to do may change. [00:42:00] The amount of decode that you, you'll need to do might change, right?Like, let's say you start getting like insanely long queries, right? That probably means that your prefill scales like harder because you're hitting these, this quadratic scaling growth.swyx: Yeah.And then for listeners, like prefill will be long input. Decode would be long output, for example, right?Kyle: Yeah. So like decode, decode scale. I mean, decode is funny because the amount of tokens that you produce scales with the output length, but the amount of work that you do per step scales with the amount of tokens in the context.swyx: Yes.Kyle: So both scales with the input and the output.swyx: That's true.Kyle: But on the pre-fold view code side, like if.Suddenly, like the amount of work you're doing on the decode side stays about the same or like scales a little bit, and then the prefilled side like jumps up a lot. You actually don't want that ratio to be the same. You want it to change over time. So Dynamo has a set of components that A, tell you how to scale.It tells you how many prefilled workers and decoded workers you, it thinks you should have, and also provides a scheduling API for Kubernetes that allows you to actually represent and affect this scheduling on, on, on your actual [00:43:00] hardware, on your compute infrastructure.Nader: Not gonna lie. I feel a little embarrassed for being proud of my SVG function earlier.swyx: No, itNader: wasreallyKyle: cute. I, Iswyx: likeNader: it's all,swyx: it's all engineering. It's all engineering. Um, that's where I'mKyle: technical.swyx: One thing I'm, I'm kind of just curious about with all with you see at a systems level, everything going on here. Mm-hmm. And we, you know, we're scaling it up in, in multi, in distributed systems.Context Length and Co Designswyx: Um, I think one thing that's like kind of, of the moment right now is people are asking, is there any SOL sort of upper bounds. In terms of like, let's call, just call it context length for one for of a better word, but you can break it down however you like.Nader: Yeah.swyx: I just think like, well, yeah, I mean, like clearly you can engage in hybrid architectures and throw in some state space models in there.All, all you want, but it looks, still looks very attention heavy.Kyle: Yes. Uh, yeah. Long context is attention heavy. I mean, we have these hybrid models, um,swyx: to take and most, most models like cap out at a million contexts and that's it. Yeah. Like for the last two years has been it.Kyle: Yeah. The model hardware context co-design thing that we're seeing these days is actually super [00:44:00] interesting.It's like my, my passion, like my secret side passion. We see models like Kimmy or G-P-T-O-S-S. I'm use these because I, I know specific things about these models. So Kimmy two comes out, right? And it's an interesting model. It's like, like a deep seek style architecture is MLA. It's basically deep seek, scaled like a little bit differently, um, and obviously trained differently as well.But they, they talked about, why they made the design choices for context. Kimmy has more experts, but fewer attention heads, and I believe a slightly smaller attention, uh, like dimension. But I need to remember, I need to check that. Uh, it doesn't matter. But they discussed this actually at length in a blog post on ji, which is like our pu which is like credit puswyx: Yeah.Kyle: Um, in, in China. Chinese red.swyx: Yeah.Kyle: It's, yeah. So it, it's, it's actually an incredible blog post. Uh, like all the mls people in, in, in that, I've seen that on GPU are like very brilliant, but they, they talk about like the creators of Kimi K two [00:45:00] actually like, talked about it on, on, on there in the blog post.And they say, we, we actually did an experiment, right? Attention scales with the number of heads, obviously. Like if you have 64 heads versus 32 heads, you do half the work of attention. You still scale quadratic, but you do half the work. And they made a, a very specific like. Sort of barter in their system, in their architecture, they basically said, Hey, what if we gave it more experts, so we're gonna use more memory capacity.But we keep the amount of activated experts the same. We increase the expert sparsity, so we have fewer experts act. The ratio to of experts activated to number of experts is smaller, and we decrease the number of attention heads.Vibhu: And kind of for context, what the, what we had been seeing was you make models sparser instead.So no one was really touching heads. You're just having, uh,Kyle: well, they, they did, they implicitly made it sparser.Vibhu: Yeah, yeah. For, for Kimmy. They did,Kyle: yes.Vibhu: They also made it sparser. But basically what we were seeing was people were at the level of, okay, there's a sparsity ratio. You want more total parameters, less active, and that's sparsity.[00:46:00]But what you see from papers, like, the labs like moonshot deep seek, they go to the level of, okay, outside of just number of experts, you can also change how many attention heads and less attention layers. More attention. Layers. Layers, yeah. Yes, yes. So, and that's all basically coming back to, just tied together is like hardware model, co-design, which isKyle: hardware model, co model, context, co-design.Vibhu: Yeah.Kyle: Right. Like if you were training a, a model that was like. Really, really short context, uh, or like really is good at super short context tasks. You may like design it in a way such that like you don't care about attention scaling because it hasn't hit that, like the turning point where like the quadratic curve takes over.Nader: How do you consider attention or context as a separate part of the co-design? Like I would imagine hardware or just how I would've thought of it is like hardware model. Co-design would be hardware model context co-designKyle: because the harness and the context that is produced by the harness is a part of the model.Once it's trained in,Vibhu: like even though towards the end you'll do long context, you're not changing architecture through I see. Training. Yeah.Kyle: I mean you can try.swyx: You're saying [00:47:00] everyone's training the harness into the model.Kyle: I would say to some degree, orswyx: there's co-design for harness. I know there's a small amount, but I feel like not everyone has like gone full send on this.Kyle: I think, I think I think it's important to internalize the harness that you think the model will be running. Running into the model.swyx: Yeah. Interesting. Okay. Bash is like the universal harness,Kyle: right? Like I'll, I'll give. An example here, right? I mean, or just like a, like a, it's easy proof, right? If you can train against a harness and you're using that harness for everything, wouldn't you just train with the harness to ensure that you get the best possible quality out of,swyx: Well, the, uh, I, I can provide a counter argument.Yeah, sure. Which is what you wanna provide a generally useful model for other people to plug into their harnesses, right? So if youKyle: Yeah. Harnesses can be open, open source, right?swyx: Yeah. So I mean, that's, that's effectively what's happening with Codex.Kyle: Yeah.swyx: And, but like you may want like a different search tool and then you may have to name it differently or,Nader: I don't know how much people have pushed on this, but can you.Train a model, would it be, have you have people compared training a model for the for the harness versus [00:48:00] like post training forswyx: I think it's the same thing. It's the same thing. It's okay. Just extra post training. INader: see.swyx: And so, I mean, cognition does this course, it does this where you, you just have to like, if your tool is slightly different, um, either force your tool to be like the tool that they train for.Hmm. Or undo their training for their tool and then Oh, that's re retrain. Yeah. It's, it's really annoying and like,Kyle: I would hope that eventually we hit like a certain level of generality with respect to training newswyx: tools. This is not a GI like, it's, this is a really stupid like. Learn my tool b***h.Like, I don't know if, I don't know if I can say that, but like, you know, um, I think what my point kind of is, is that there's, like, I look at slopes of the scaling laws and like, this slope is not working, man. We, we are at a million token con

Każdy z nas doświadcza pokus w sposób najbardziej dopasowany do tego, co może nas oddalić od Boga. W Ewangelii św. Łukasza poznajemy historię kuszenia Jezusa na pustyni. Pastor Andrzej Krajka, odwołując się do przykładów biblijnych, przypomniał, jak ważne jest wyznawanie nie tylko naszych grzechów, ale również pokus — stawianie ich w świetle, zamiast ukrywania.Pokusa często jest impulsem, by zrobić coś przyjemnego w danej chwili, lecz sprzecznego z naszymi zasadami, obowiązkami albo z długofalowym dobrem. Jezus jednak nie był kuszony przez wewnętrzny impuls, ponieważ — jak czytamy w Ewangelii Jana — nie było w Nim nic z ciemności (J 14,30). Nigdy nie uległ pokusie. Właśnie tym różni się od nas. Doświadczył wszystkiego podobnie jak my, lecz pozostał bez grzechu.Dlatego rozumie to, co przeżywamy. Nie patrzy na nas przez pryzmat naszych potknięć czy upadków. Gdy przychodzimy do Boga z pokutą i prosimy o przebaczenie, z łaski otrzymujemy odpuszczenie grzechów.

Send a textMeet Teena and Nim (and Naylan) who stopped by to talk about the mission of Doglando and how becoming the new owners of Canine Glamour Club was meant to be part of their adventure, how excited they are to finally be part of the neighborhood after almost three decades, and what's next for them.https://doglando.comhttps://doglandofoundation.comhttps://linktr.ee/helloapgdpod

Jezus jest Zbawicielem tam, gdzie najpierw jest Panem. Objawienie o zbawieniu z łaski prowadzi nas do życia pod panowaniem Jezusa.    W trakcie kazania (42:15) został odtworzony utwór: Stromae - Papaoutai (Afro Soul Version), podczas którego wyświetlono polskie tłumaczenie tekstu: Powiedz mi, skąd on pochodzi, Wreszcie będę wiedział, dokąd zmierzam.  Mama mówi, że jeśli dobrze poszukasz,  Zawsze go znajdziesz.  Mówi, że nigdy nie jest daleko,  Że często wyjeżdza do pracy.  Mama mówi, że „praca jest dobra”  Lepsza niż przebywanie w złym towarzystwie, Czyż nie? Gdzie jest Twój Tato?  Powiedz mi, gdzie jest Twój Tato?  Nawet jeśli z nim nie rozmawiasz,  On wie, co jest nie tak.  Och, ukochany Tato, Powiedz mi, gdzie się ukrywasz?  Już chyba tysiąc razy Liczyłem na palcach przy zabawie w chowanego.  [Refren] Gdzie jesteś, Tato? x8  Gdzie jesteś Czy wierzymy w to, czy nie,  Nadejdzie dzień, kiedy nie będziemy już tylko wierzyć.  Dzień, kiedy wszyscy zostaniemy ojcami,  I z dnia na dzień znikniemy.  Czy będą nas nienawidzić?  Czy będziemy godni podziwu?  Przekażemy tylko geny czy geniusz życia?  Powiedz nam, kto rodzi nieodpowiedzialnych?  Och, powiedz nam, kto, no cóż.  Wszyscy wiedzą, jak powstają dzieci, Ale nikt nie wie, jak powstają ojcowie.  Jeśli to wiesz, to pewnie dostałeś to w genach,  Albo tylko udajesz, że wiesz.  Powiedz nam, gdzie są ojcowie?!  Bo już chyba tysiąc razy,  Obgryzaliśmy palce z nerwów, hej!  Gdzie jesteś, Tato? x 8  Gdzie jesteś Gdzie jest Twój Tato? Powiedz mi, gdzie jest Twój Tato?  Nawet gdy z nim nie rozmawiasz, On wie, co jest nie tak.  Och, nieuchwytny Tato, Powiedz mi, gdzie się ukrywasz?  Chyba już tysiąc razy, Liczyłem na palcach przy zabawie w chowanego.  Gdzie jest Twój Tato? Powiedz mi, gdzie jest Twój Tato?  Nawet bez potrzeby rozmowy z Nim, On wie, co jest nie tak.  Och, nieuchwytny Tato, Powiedz mi, gdzie się ukrywasz?  Chyba już tysiąc razy Liczyłem na palcach przy zabawie w chowanego  Gdzie jesteś, Tato? x8  Gdzie jesteś? Alleluja Zapraszamy: www.SpolecznoscMIASTO.plObserwuj nas na:

Partagée entre soulagement et inquiétude, la militante iranienne Nimâ Machouf accueille la fin possible d’un régime « détestable », tout en dénonçant l’intervention militaire de Donald Trump et d’Israël. Entrevue avec Nimâ Machouf, militante iranienne. Regardez aussi cette discussion en vidéo via https://www.qub.ca/videos ou en vous abonnant à QUB télé : https://www.tvaplus.ca/qub ou sur la chaîne YouTube QUB https://www.youtube.com/@qub_radio Pour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Conflits au Moyen-Orient : des Québécois pris à l’étranger, des femmes iraniennes soulagées, des questionnements quant à l’intervention du président Trump | Le TGV rappelle de mauvais souvenirs aux expropriés de l’aéroport de Mirabel | Le marché du pétrole est de nouveau sous pression après les frappes d’Israël et des États-Unis contre l’Iran | Duels à La Voix : la participante Roxanne Garceau a été sauvée Dans cet épisode intégral du 2 mars, en entrevue : Nimâ Machouf, militante iranienne. Sylvie Bigeault, Québécoise en voyage à Dubaï. Ils sont actuellement confinés à leur hôtel. Roxanne Therrien, mairesse de Mirabel. Carol Montreuil, vice-président Est du Canada et Économie à l'Association canadienne du carburant. Roxanne Garceau, participante à La Voix dans l’équipe de France D’Amour. Une production QUB Mars 2026Pour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Iz 33,6„Bojaźń Pana jest Jego skarbem”Bojaźń Boża jest skarbem — nie czymś, co otrzymuje się przypadkiem. Odkrywa ją ten, kto naprawdę pragnie poznać serce Boga. Nie jest strachem ani ucieczką, lecz postawą, która prowadzi do bliskiej i żywej relacji z Nim.Czy potrafisz zachwycić się Bogiem i Jego świętością? On oczekuje od nas nie tylko znajomości Słowa, ale także wprowadzania go w życie.Jaki obraz Boga nosisz w swoim sercu?Prawdziwa bojaźń Boża oznacza gotowość oddania Mu prowadzenia — nawet wtedy, gdy Jego drogi wykraczają poza nasze rozumowanie i wyobrażenia. To, czego się boisz, determinuje sposób, w jaki żyjesz.Prz 29,25„Strach przed człowiekiem zastawia sidło, lecz kto ufa Panu, będzie bezpieczny”.Bojaźń Boża przybliża do Boga, rodzi szacunek i posłuszeństwo. Chroni nasze życie oraz relację z Nim.Zachęcamy do odsłuchania dzielenia Ewy i głębszego zgłębienia tematu bojaźni Bożej — oraz odkrycia, jaki wpływ może mieć na nasze codzienne życie.

Oto kobieta, która w tym mieście uchodziła za grzesznicę. Gdy dowiedziała się, że Jezus przebywa w domu faryzeusza, przyniosła alabastrowy flakonik z olejkiem. Stanęła za Nim u Jego stóp, płacząc. Łzami obmywała Jego stopy, ocierała je włosami swojej głowy, całowała i namaszczała drogocennym olejkiem.Łk 7,37–38Podczas dzisiejszego nabożeństwa kontynuowany był temat bliskości. Tym razem rozważaliśmy jej cenę.Bliskość nie jest chwilowym poruszeniem ani emocjonalnym uniesieniem. Jest codzienną decyzją, zakorzenioną w szczerości i konsekwencji. To postawa, którą wprowadza się w zwyczajność dnia. Biblijne przykłady ukazują, że prawdziwa bliskość z Bogiem ma wartość najwyższą – jest kosztowna i zawsze wiąże się z ofiarą.Zostaliśmy zaproszeni do osobistej refleksji nad naszą relacją z Jezusem: ile jesteśmy gotowi oddać, aby być blisko Niego? Czy zależy nam na samej relacji, czy raczej na korzyściach, które może przynieść?Posłuchaj tego nauczania!

„Nie sądźcie, że przyszedłem znieść Prawo albo Proroków. Nie przyszedłem znieść, ale wypełnić” (Mt 5,17). Pan Jezus zaprasza nas do pójścia w naszym życiu dalej poza zwykłe wypełnianie prawa i do otwarcia naszego serca na Ojca, aby wraz z Nim czynić nasze życie bardziej sprawiedliwym i braterskim, bardziej ludzkim, wykorzeniając z niego wszystko co stanowi źródło grzechu. Jak różna jest Mądrość Boża od duchowej światowości? Jak możemy ukazywać innym prawdziwe znaczenie Bożych przykazań i dawać świadectwo braterskiej miłości, które będzie promieniujące i pociągające?

*Full episode on Patreon*This week we reflect on the recent significance of the musician Ethel Cain: as the leading musical animator of rural Southern Christian life, a Dark Prophet to rally around, and an idiosyncratic emblem of so many conversations that marked the past few years. We also examine the recent bloating of the “Southern Gothic” genre, analyze the longing to portray regional American identities, and propose Ethel as a cultural bridge between pandemic-era Christian poseurs and today's girlygirl obsession with alternative spirituality.We also hear directly from STARGIRL listener Alex (@daught3rmourn1ng_) who is originally from the Florida panhandle, was brought up in the Southern Baptist tradition, and now makes experimental drone music (like what?!).

Czasem, zwłaszcza doświadczając szczególnie trudnych sytuacji życiowych albo będąc świadkami czyjegoś cierpienia, zadajemy sobie pytanie "gdzie jest Bóg?". Z dzisiejszej refleksji o. Alvaro Grammatica nad Ewangelią na III niedzielę zwykłą wynika, że jest tam, gdzie zasadniczo być Go nie powinno i robi nie to, czego byśmy się po Nim spodziewali... Posłuchajcie zresztą sami! A za tłumaczenie i odczytanie komentarza o. Alvaro dziękujemy - jak zwykle - Elżbiecie Wróbel. Napisz do nas! Wesprzyj nas! Wszystkie odcinki z podziałem na cykle tematyczne znajdziesz na www.koinoniagb.pl/podcast Obserwuj kanał Podcast Koinonii Jan Chrzciciel w WhatsAppieRead transcript

Gab and Nim are the co-founders of a startup called Dessn which allows designers to prototype in the context of their production codebase (without any of the setup).So I asked them to hook it up to the Inflight repo and give me a little demo to see what's possible.I'm pretty sold

In our continuing series, Children of Genius, we'll talk with the children of extraordinary architects. First, Llisa Demetrios, Curator of the Eames Institute and youngest granddaughter of design legends Ray and Charles Eames. Next, Sarah and Cameron Nims, children of Florida architect Rufus Nims, and later, we'll talk with Gabriela Liebert, the architect reviving Nim's iconic "Jetsons House" in Miami.  Then, it's the daughter of architect Irving Tobocman, and also our musical guest, jazz singer Susan Tobocman. 

Let the straights play gay roles, murder mysteries are inherently queer (not police procedurals) and all (most) body horror is queer.  @HeyRowanEllis  and Nim talk on the Queer Movie Podcast about their Hot Takes on LGBTQ+ cinema and media! Support us on Patreon at patreon.com/thequeermoviepodcast for as little as $5 per month to gain access to perks like access to our Discord and monthly queer movie watch-a-longs. Thank you for supporting us! This is a queer movie watch party for your ears, hosted by Rowan Ellis and Jazza John. Join us as we take a look at the queer film canon, one genre at a time. From rom-coms to slashers, contemporary arthouse cinema to comedy classics - Queer Movie Podcast is a celebration of all things queer on the silver screen! Find Us on the Internet Super Highway - Twitter: https://twitter.com/QueerMoviePod - Patreon: https://www.patreon.com/thequeermoviepodcast - Website: http://www.queermoviepodcast.co.uk/ - Editing and production assistance: Toni Kilsby & Nim Milliner - Hosts: Rowan Ellis and Jazza John

Światło przychodzi tam, gdzie wszystko wydaje się zakończone. Rozpocznij z nami przygotowania do Świąt Bożego Narodzenia! Zatrzymaj się żeby usłyszeć słowo. Nazwij ciemność, żeby zobaczyć światło. Zgódź się, jak Maria. Wyznawaj jak Jan, nie o sobie, ale o Nim. Wesprzyj nas: https://patronite.pl/lifepodcast

Money and Me dives into whether the AI boom is becoming a bubble or just shaking out the excess. We unpack why the odds of a December Fed cut have dropped below 50% and what that means for investors. Cheng Chye Hsern, Head of Investment, Providend breaks down hyperscalers’ rising debt-fuelled capex and the red flags to watch. Singapore’s big three banks report sharply different earnings - we explore how NIM compression, fee income and credit costs are reshaping the sector’s outlook. Hosted by Michelle Martin, with insights investors need as volatility returns.See omnystudio.com/listener for privacy information.

▶️ Dans cet épisode, aux côtés de Nina Aguillon et Nastassia Pouradier Duteil, j'ai le plaisir d'accueillir Nora Aïssiouene, Directrice Technique Mathématiques et Applications chez SUMMIT, Sorbonne Université Maison des Modélisations Ingénieries et Technologies.

Act 1 of 3: Stone fists on riot shields. Banish hesitation. Awe and terrify. Faiths are founded on less; who's playing god in Ornglen? Custodians Billie, Nim and Jasper gather clues.Coming next on 4 November – Custodians (It Feeds Backstage)Programme notesThis production contains violence, body horror, grotesque religious imagery, cults, religious trauma, family trauma, government corruption and oppression, police violence, and references to ritual sacrifice.Matt's other podcast, I Need A Miracle, is doing a live show at Audio Drama Hubfest on 1 November. You can get an evening ticket for just the live shows or a day ticket that includes all sorts of voice acting-related panels and activities.Subscribe to Professional Relations, the Foggy Outline newsletter, for monthly backstage updates and more of Matt and his parents interviewing each other.CreditsSTARRING:- Marta Da Silva (The Silt Verses) as Nim Harrow, of The Watcher in the Wings- B Narr (The Silt Verses) as Jasper Finch, of The Pox-Martyr- Fiona KT Howat (What Am I Rolling?) as Billie Fletcher, of The Waxen ScrivenerROLEPLAYING GAME SYSTEM: The Silt Verses RPG, by Gabriel Robinson and Jason Cordova, published by The Gauntlet.MUSIC BY: Matt BoothmanEDITED AND PRODUCED BY: Matt BoothmanFind usOn InstagramOn Tumblrwww.MerelyRoleplayers.com

Cc Madhya 15.40-127 https://vedabase.io/en/library/cc/madhya/17/advanced-view/ ------------------------------------------------------------ Tapan Miśra was a scholar. He read too many books, and he got confused. And then he met Śrī Caitanya Mahāprabhu. Śrī Caitanya Mahāprabhu was traveling in East Bengal, and he asked him, "What should I do?" He had had a dream that he would meet an effulgent personality. And so, by the Lord's arrangement, he met Caitanya Mahāprabhu as Nimāi Paṇḍit. He had traveled with his students. He amassed wealth. He went and taught everybody, and dominated all the debates, and became famous in East Bengal. And then along the way, he met Tapana Miśra, and Tapana Miśra submitted his sad story: that he was confused. He had just read everything. One should not, Rūpa Gosvāmī says, become a bookworm and read all kinds of books just to have some scriptural advantage over others—to defeat them with your extra special verses that nobody has ever heard of. So Mahāprabhu told him, "You should chant Hare Kṛṣṇa." He took him into his fold. And then, inexplicably, He sent him to Banaras. And everyone said, "What? You got a new bhakta, and you're going to send him to Banaras?" Little did they know that Mahāprabhu was going to circle back there, and He would meet him there and have a big part in his līlā. But that's the way He works. That's the Tapana Miśra story. Audience: I can just imagine Tapana Miśra just there in Banaras, and then Caitanya Mahāprabhu just appears there in this scene. It must have been life-changing. HG Vaisesika Dasa: That's the life-changing nature of surrendering to Mahāprabhu. He takes us on a magical mystery journey, I won't say tour, and it's all His mercy. (excerpt from the discussion) To connect with His Grace Vaiśeṣika Dāsa, please visit https://www.fanthespark.com/next-steps/ask-vaisesika-dasa/ ------------------------------------------------------------ Add to your wisdom literature collection: https://iskconsv.com/book-store/ https://www.bbtacademic.com/books/ https://thefourquestionsbook.com/ ------------------------------------------------------------ Join us live on Facebook: https://www.facebook.com/FanTheSpark/ Podcasts: https://podcasts.apple.com/us/podcast/sound-bhakti/id1132423868 For the latest videos, subscribe https://www.youtube.com/@FanTheSpark For the latest in SoundCloud: https://soundcloud.com/fan-the-spark ------------------------------------------------------------ #sricaitanyacaritamrita #govardhanreadings #spiritualawakening #soul #spiritualexperience #spiritualpurposeoflife #spiritualgrowthlessons #secretsofspirituality #vaisesikaprabhu #vaisesikadasa #vaisesikaprabhulectures #spirituality #bhaktiyoga #krishna #spiritualpurposeoflife #krishnaspirituality #spiritualusachannel #whybhaktiisimportant #whyspiritualityisimportant #vaisesika #spiritualconnection #thepowerofspiritualstudy #selfrealization #spirituallectures #spiritualstudy #spiritualquestions #spiritualquestionsanswered #trendingspiritualtopics #fanthespark #spiritualpowerofmeditation #spiritualteachersonyoutube #spiritualhabits #spiritualclarity #bhagavadgita #srimadbhagavatam #spiritualbeings #kttvg #keepthetranscendentalvibrationgoing #spiritualpurpose

Before colonization and the decimation of Indigenous people, Nez Perce, or Nimíipuu, lands encompassed 17 million acres that would become parts of Oregon, Washington, Idaho and Montana. The Nez Perce Indian Reservation currently consists of 750,000 acres in North-Central Idaho. The Oregon Origins Project aims to bring the traditions, art and storytelling of Oregon’s first peoples to a nonnative audience, and to provide additional space for tribal members, or culture bearers, to gather with each other for their own benefit. This Saturday, Oct. 18, the Project presents its seventh series, called “Earth + Heart, Being and Becoming Nimíipuu” at 6 p.m. at the Reed College Performing Arts Building. We learn more in conversation with Nez Perce/Nimíipuu tribal members Nakia Williamson-Cloud and Phil Cash Cash, along with Matthew Packwood, the executive director of the Oregon Origins Project.

This week on Cinemapodgrapher, new host Josh Calder sits down with one of Australia's most respected dolly grips, Dave Shaw. With over 30 years in the industry and credits on War Machine, Thor: Ragnarok, The Hobbit, Avatar, Eat Pray Love, San Andreas, Furiosa, Nim's Island, and Pete's Dragon, Dave has seen it all from behind the camera. They unpack what it truly means to be a dolly grip, the craft, the instinct, and the trust required to move the camera in harmony with story and emotion. Dave shares how he got his start, the lessons that shaped his career, and the subtle art of reading an actor's performance to match the rhythm of a scene. From collaborating with operators and DPs to working alongside filmmakers like James Cameron and Peter Jackson, this episode dives deep into the communication and collaboration that define great gripping. Dave talks about staying engaged on set, embracing new technology, and why the right attitude, waking up excited to make movies, is everything. And of course, we revisit some of the golden lessons he has passed on to Josh over the years. A masterclass in precision, intuition, and passion for storytelling, this one is a must-listen for anyone serious about the craft of filmmaking.

Temat tej Bożej lekcji to: „Nie dziel swojego serca!” Pan Jezus powiedział: „Nikt, kto przykłada rękę do pługa i ogląda się na to, co zostało w tyle, nie jest zdatny do Królestwa Bożego.” Ja pragnę być przydatny, dlatego chcę się uczyć. W tym fragmencie mamy obraz zaczerpnięty z rolnictwa w Palestynie I wieku. Rolnik, który prowadził pług, musiał patrzeć przed siebie, aby bruzdy były proste. Gdy oglądał się za siebie, pług zbaczał z toru. Nie tylko bruzda była krzywa, zdarzało się też, że wchodził na cudze pole. A to właśnie i nam często się przydarza. Dlatego nie oglądaj się wstecz. Bo gdy się odwracasz, tracisz Jezusa z oczu. Im bardziej się odwracasz, tym słabiej Go widać. To trochę tak, jakby dziś powiedzieć komuś, że nie można patrzeć za siebie, jadąc na rowerze. Sens jest ten sam. Nasza decyzja sprowadza się do wyboru: albo do przodu, albo wstecz, bo nie da się w obie strony naraz. Obraz rolnika orzącego pole pokazuje, że uczeń Jezusa musi patrzeć przed siebie. Rozdarte serce, między dawnym życiem a nowym powołaniem, nie pozwala iść prosto za Nim. Jeśli masz pragnienie wesprzeć to, co robię, a moja służba przynosi Ci zachętę, posilenie i duchowy pożytek, możesz postawić mi wirtualną kawę. Oczywiście nic na siłę — jeśli to nie ten moment, życzę Ci błogosławieństwa i owocnego czasu z Bożym Słowem < Wirtualna kawka ☕️: https://buycoffee.to/mirek-kulec

(1) kali-kukkura kadana yadi cāo (he) kali-yuga pāvana, kali-bhaya-nāśana, śrī śacī-nandana gāo (he) (2) gadādhara-mādana, nitā'yera prāṇa-dhana, advaitera prapūjita gorā nimāñi viśvambhara, śrīnivāsa-īśvara, bhakata-samūha-cita-corā (3) nadīyā-śaśadhara, māyāpura-īśvara, nāma-pravartana sura gṛhijana-śikṣaka, nyāsikula-nāyaka, mādhava rādhābhāva-pūra (4) sārvabhauma-śodhana, gajapati-tāraṇa, rāmānanda-poṣaṇa vīra rūpānanda-vardhana, sanātana-pālana, hari-dāsa-modana dhīra (5) vraja-rasa-bhāvana, duṣṭamata-śātana, kapaṭī-vighātana kāma śuddha bhakta-pālana, śuṣka-jñāna-tāḍana, chala-bhakti-dūṣaṇa rāma TRANSLATION 1) If you want to be rid of the influence of the dog-like personality of kali, then just sing the glories of the beautiful Son of Mother Saci (Saci-nandana). He is the Savior of the kali-yuga (Kali-yuga Pavana), and He is (Kali-bhay-nasana), the destroyer of all fear caused by the age of quarrel. 2) He maddens Sri Gadhadara with His name, (Gadadhara-madana) He is the treasure of the life of Sri Nityananda Prabhu (Nita'yer Prana-dhana), and He is the most worshipable object of Sri Advaita Acarya (Advaiter Prapujita). He is affectionately named Nimai by His mother, due to being born under a Nim tree, and He has been named Visvambhara by His grandfather. He is the only Lord of Sri Srivasa (Srinivas-isvar), and He steals the hearts of all the assembled devotees (Bhakta-samuha-cita-cora). 3) Lord Caitanya is the moon over Nadia (Nadiya-sasadhar), the Lord of Sri Mayapura-dhama (Mayapura-isvar), and the divine propagator of His own name (Nama-pravartana Sura). He is the instructor of family men (Grhijana-siksaka), and He is also the hero of those who are in the renounced order (Nyasi-kula-nayaka). He is the husband of the Goddess of Fortune (Madhava), and He is over-flowing with the ecstatic moods and sentiments of Srimati Radharani (Radha-bhava-pura). 4) Lord Caitanya is the corrector and purifier of Sarvabhauma Bhattacarya (Sarvabhauma-sodhana), and the deliverer of King Prataparudra (Gajapati-tarana), the source of nourishment of Srila Ramananda Raya (Ramananda-posana), and He is a great hero (Vira). He increases the ecstasy of Srila Rupa Gosvami (Rupananda-vardhana), He is the maintainer and protector of Srila Sanatana Gosvami (Sanatana-palana), He gladdens Haridasa Thakura (Haridasa-modana) and He is very grave (Dhira). 5) Lord Caitanya is the source of all the transcendental mellows of Vraja-dhama (Braja-rasa Bhavana), He is the destroyer of all mischievous and wicked mentality (Dustamata-satana), and He dissolves the mundane lust of the deceitful insincere souls by His causeless mercy (Kapati Vighatana Kama). He maintains and protects His pure Vaisnava devotees (Suddha-bhakta-palana), and He chastises dry speculative knowledge (Suskajnana Tadana). He destroys pretentious and hypocritical devotion (Chala-bhakti-dusana), and He is the reservoir of pleasure (Rama). To connect with His Grace Vaiśeṣika Dāsa, please visit https://www.fanthespark.com/next-steps/ask-vaisesika-dasa/ ------------------------------------------------------------ Add to your wisdom literature collection: https://iskconsv.com/book-store/ https://www.bbtacademic.com/books/ https://thefourquestionsbook.com/ ------------------------------------------------------------ Join us live on Facebook: https://www.facebook.com/FanTheSpark/ Podcasts: https://podcasts.apple.com/us/podcast/sound-bhakti/id1132423868 For the latest videos, subscribe https://www.youtube.com/@FanTheSpark For the latest in SoundCloud: https://soundcloud.com/fan-the-spark ------------------------------------------------------------ #spiritualawakening #soul #spiritualexperience #spiritualpurposeoflife #spiritualgrowthlessons #secretsofspirituality #vaisesikaprabhu #vaisesikadasa #vaisesikaprabhulectures #spirituality #bhaktiyoga #krishna #spiritualpurposeoflife

In This Episode Traditional banks just pocketed $268 billion in profit—even with loan growth stuck in first gear—while global fintech funding barely limped past $10 billion, thanks to a single blockbuster round. This week, Theo Lau and Greg Palmer join hosts JP Nicols, Brett King, and Jason Henrichs to untangle those contradictions and ask who's really carrying the baton in the race for the future of money. Brace yourself for a knife-fight over BaaS regulation, a land-rush toward instant payments, and an AI gold rush that could super-charge compliance… or automate you right out of a job (and maybe swipe your wallet on the way). Is a 3 % NIM so cushy that banks will never reinvent themselves? Are stablecoins the rails of autonomous finance—or just more crypto hype? Add in deep-fake demos, a no-holds-barred scorecard of today's leaders, learners, and laggards, and stark predictions of where they'll be tomorrow. Whether you're sprinting on a 150-year-old balance sheet or a Series A term sheet, the finish line is the same: deliver smarter, safer money experiences—before someone else does. And whatever you do, try not to low-key suck.

Send us a textThis week we sit down with Auston (GM & Coach) & Nim (Player) of Evansville's Midwest Hooligans. We catch up with Auston from his previous appearance on TDG as DJ McNaughty; as well, we learn a lot about Nim who has played soccer at the highest levels. We talk about how the Midwest Hooligans came to fruition and what the future holds. All this and more in this week's episode of TDG with Auston & Nim of the MIDWEST HOOLIGANS!Exsisto minas et victor esse,The Days Grimm Podcast[The Days Grimm Podcast Links]- YouTube: https://www.youtube.com/c/TheDaysGrimm- Our link tree: linktr.ee/Thedaysgrimm- GoFundMe account for The Days Grimm: https://gofund.me/02527e7c [The Days Grimm is brought to you by]Sadness & ADHD (non-medicated)

Apple Patches Everything Apple released updates for all of its operating systems. Most were released on Monday with WatchOS patches released today on Tuesday. Two already exploited vulnerabilities, which were already patched in the latest iOS and macOS versions, are now patched for older operating systems as well. A total of 145 vulnerabilities were patched. https://isc.sans.edu/diary/Apple%20Patches%20Everything%3A%20March%2031st%202025%20Edition/31816 VMWare Workstation and Fusion update check broken VMWare s automatic update check in its Workstation and Fusion products is currently broken due to a redirect added as part of the Broadcom transition https://community.broadcom.com/vmware-cloud-foundation/question/certificate-error-is-occured-during-connecting-update-server NIM Postgres Vulnerability NIM Developers using prepared statements to send SQL queries to Postgres may expose themselves to a SQL injection vulnerability. NIM s Postgres library does not appear to use actual prepared statements; instead, it assembles the code and the user data as a string and passes them on to the database. This may lead to a SQL injection vulnerability https://blog.nns.ee/2025/03/28/nim-postgres-vulnerability/

Send us a textIn this episode of From The Heart, hosts Dr. Nim Goldshtrom and Dr. Adrianne Bischoff explore the latest research in neonatal cardiac care, focusing on congenital heart disease (CHD) and its impact on premature infants. They discuss a study analyzing survival trends in preterm infants with CHD, highlighting the “double jeopardy” these babies face due to both prematurity and congenital cardiac anomalies. Another study compares neurodevelopmental outcomes between preterm infants and those with CHD, revealing that term infants with CHD exhibit similar motor and cognitive challenges as preterm infants, yet receive less developmental support. The conversation then shifts to emerging research showing a decline in postoperative brain injuries in CHD patients, possibly due to improved surgical and perioperative care. Finally, they discuss a survey on neonatal cardiac care models, emphasizing the evolving role of neonatologists in managing CHD patients and the need for better integration between NICUs and CICUs. Nim and Adrianne reflect on the importance of specialized care teams, advocating for neonatologists to play a greater role in optimizing outcomes for this vulnerable population. Tune in for a compelling discussion on bridging the gaps in neonatal cardiac care. As always, feel free to send us questions, comments, or suggestions to our email: nicupodcast@gmail.com. You can also contact the show through Instagram or Twitter, @nicupodcast. Or contact Ben and Daphna directly via their Twitter profiles: @drnicu and @doctordaphnamd. The papers discussed in today's episode are listed and timestamped on the webpage linked below. Enjoy!