Podcasts about Yandex

Make it Louder! Episode 601 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm601 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM601 TRACKLIST: Ruslan Radriges - Intro 01. Huvagen - Don't Call Me [Interplay] 02. U-Jeen & Monolegato - A Mocking Lie [Interplay] 03. ALAC - Calling For You [Beyond Words] 04. MK & Poppy Baskcomb - Zone (TOROK Remix) [Free] 05. Hackatone & Jame Starck - Pleasure [Interplay] 06. Yves V & Chester Young & Tommy Veanud - One Of A Kind [TV] 07. Anton By - Let Me Fall [Interplay] 08. ARTBAT & SIX40TWO - Take You There [Upperground] [MOMENT OF THE PAST] 09. Ruslan Radriges - Signals 10. Fatboy Slim & Riva Starr ft. Beardy Man - Eat Sleep Rave Repeat (BLR Remix) [Independent] 11. Above & Beyond - Feel The Vibe [Anjunabeats] 12. Papulin - Rose (Heart of the Ocean) [Interplay Unity] [SOME LATELY FAVORITE] 13. Kawsan - Lose Control [Interplay] 14. Jay Hardway - Lights Out [Hardway Music] 15. Richard Durand - Always The Sun (High Voltage Remix) [PERFECT TUNE] 16. Alexander Popov x FAWZY x Wavetraxx - Attractive Force [Who's Afraid Of 138!] 17. Somnia & DJ Tony Magic - Happy, Joyous and Free [Interplay] 18. ROBPM - Early Days [Kurai] 19. Nifra & KEVU & Caroline Roxy - High On The Beat [Smash The House] Ruslan Radriges - Outro

Make it Louder! Episode 600 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm600 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM600 TRACKLIST: Ruslan Radriges - Intro 01. UNMD - Eyes [Interplay] [MOMENT OF THE PAST] 02. Mark Sixma & Emma Hewitt - Missing 03. Dimaseadoy & Aleksey Ekimov - They Long [Suanda Future] 04. SUBMETA - The Maze [2Rock Techno] 05. Oleg Farrier - Anyone Else [Essentializm] 06. Goontha - Lost [Nomads] [SOME LATELY FAVORITE] 07. Dmitry Chelnokov - Sonar [Suanda Future] 08. Ozee x Zack Torrez x Robbie Hutton - Hope [Interplay] 09. Marc Benjamin x Ansun x YYVON - Set Fire To The Rain (Sam Harris Remix) [Future House Music] 10. Edward Maya - STEREO LOVE (Aatma & Llovsa Remix) [Lotus Lab] 11. Cat Dealers ft. CERES - Test Drive [Future House Music] 12. Kawsan - Lose Control [Interplay] [PERFECT TUNE] 13. Tiësto ft. Olivia Sebastianelli - Don't Lose Your Head [Musical Freedom] 14. Regulus - You Like It Like That [Interplay] 15. Jaxson Watson & Michael Ace - Rave All Night [Revealed] 16. Hardwell & MAKJ - Countdown 2026 [Revealed] 17. Allen Watts x Krevix - Northern Lights [High Voltage] 18. Oddity - Lost in Shinjuku [Kurai] 19. MARNIK x KEL - On The Other Side [Smash The House] Ruslan Radriges - Outro

Make it Louder! Episode 599 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm599 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM599 TRACKLIST: Ruslan Radriges - Intro 01. Divibe - Do It Again [One Mood Music] 02. Eximinds & Alexander Komarov - Wild [Interplay] 03. Aldor & Aexor - Let Me To You [Pinkstar Black] 04. Merow & Julia Kleijn - Dopamine [Future House Music] 05. Argy x Omiki x Lell Nahar - Mantra [Crossover] [PERFECT TUNE] 06. Dmitry Chelnokov - Sonar [Suanda Future] 07. Gabi Giordan - Be Rave [Resurrection] 08. Fafaq & Skytech - Rules [Smash The House] 09. SIKS x Keanu Silva - You & I [Actuation] [SOME LATELY FAVORITE] 10. Alesso & JOA ft. Tyree Cooper - Turn Up The Bass [BodyHi] [MOMENT OF THE PAST] 11. Vigel vs. Cosmo & Skoro - Drums 12. NOME. - Stay [Encoded] 13. Kryder - Ascension [Black Hole] 14. Tycoos x AYDA - Euphoric [2Rock] 15. JUNIVERZ & BOSEP - Energy [Revealed] 16. Armin van Buuren x Hannah Laing x Wippenberg - U Got 2 Know [Armada] 17. Dyro - The Light [Revealed] 18. Olly James - Kick Bass [Extatic] 19. Marie Vaunt & Deborah de Luca - Lalala [Kurai] Ruslan Radriges - Outro

Make it Louder! Episode 598 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm598 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM598 TRACKLIST: Ruslan Radriges - Intro 01. Kit Sunders - There Are No Bad Nations [Interplay] 02. Acrobatik & Whatlewisdoes - Lamazi [Captive Soul] 03. EDX - Equinox [Pinkstar] 04. Georgio Safo - Astronomer [Interplay Soul] 05. Danna Max x NUTRICA x Saman Mehmani - Inner Voice [Interplay] 06. Cubicore - Till I Collapse [Catalystic] 07. U-Jeen & VAILERI - Let Go [Interplay] [MOMENT OF THE PAST] 08. Ruslan Radriges - Hope 09. Don Diablo x Wiz Khalifa x Christian Gates - Go Home With A Stranger (Kevin de Vries Remix) [Th3rd Brain] 10. James Carter - Open Up Your Love [Size] [PERFECT TUNE] 11. Alesso & JOA ft. Tyree Cooper - Turn Up The Bass [BodyHi] 12. Skytech & Mentum - Concrete Jungle [Horizon State] [SOME LATELY FAVORITE] 13. Charles D & Weska ft. Bexxie - Can't Get Enough [Drumcode] 14. Anton By x Motion Sound x AV - Bandit Petersburg [Interplay] 15. Jarred De Salme - Hideaway [Crash & Smile] 16. FANTAZM - Sad Joyous (NyTiGen Remix) [2Rock] 17. 2ACES & Josh Le Tissier - Like Home [Revealed] 18. Kura - Bounce Otra Vez [Smash The House] Ruslan Radriges - Outro

WHY A LIBERTARIAN CHANGED HIS MIND ON IMMIGRATION -- AND THE ELECTION PLAYBOOK THAT COULD CHANGE EVERYTHING ELSE. On today's show, we break down the Japan mosque protests, how Cato's immigration data has been misleading the movement for decades, and lay out a fully updated standard for who belongs in this country. Camellia from AFP-Missouri covers the Supreme Court's unanimous redistricting win, the AI bill that died 11-0 the same morning a billion-dollar factory broke ground in Independence, and what both tell us about Jefferson City's real priorities. Then Cliff Maloney joins us with Run Right -- nine million doors, 418 wins, and the hard truth about why conservatives keep losing winnable races. ⛩️ Thousands of Japanese citizens protest a mosque in Fujisawa -- and what it reveals about civilizational confidence

Mock-интервью с Николаем Лебедевым - DevOps/SRE-инженер, 17 лет в Linux, 4 года AWS EKS. Stack: Terraform, Flux, Cassandra, Kafka, Vault, SOPS. Два часа - много практики, много каверзных вопросов. ЧТО СПРАШИВАЛИ ☁️ AWS: EKS и IRSA, VPC с нуля (CIDR, multi-AZ, multi-region), managed K8s vs self-hosted, Elasticache, Golden Signals и метрики SRE.

Это лекция №53 из курса Гражданского права (общей части). Тема лекции: Прекращение обязательств Подкаст передачи доступен в: iTunes https://podcasts.apple.com/ru/podcast.... Yandex https://music.yandex.ru/album/1101034.... Персональный сайт: http://antonivanov.ru Блог: https://zakon.ru/ivanov.pravo VK: https://vk.com/ivanov.pravo Livejournal: https://ivanov-pravo.livejournal.com

Make it Louder! Episode 597 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm597 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM597 TRACKLIST: Ruslan Radriges - Intro 01. Heim - Orange [Forever Young] 02. CamelPhat & Josh Gigante ft. Kuuda - So Good [When Stars Align] 03. U-Jeen & Monolegato - Champagne [Interplay] 04. Huvagen - Feel the Beat [Interplay] [PERFECT TUNE] 05. Tungevaag & Alida - Love Will Never Die [Future House Music] 06. Aldor & Othrside - Forever [Bemind] 07. Kriss Reeve - Taste My Love [Kriss Reeve] 08. Charles D & Weska ft. Bexxie - Can't Get Enough [Drumcode] 09. David Guetta x Marten Hørger x Men Machine ft. Vitalic - Engage [Spinnin'] 10. Kryder - All My Love [Kryteria] 11. Quintino & Breathe Carolina & GIACOBBI - Do You Want It Right Now [Future House Music] [SOME LATELY FAVORITE] 12. Pascal Letoublon x Madism x Mougleta - Surrender [Future House Music] [MOMENT OF THE PAST] 13. Alexander Popov & Ruslan Radriges - Dreams Control 14. Ozgun & Reaktive - Kali [Kurai] 15. Alex Mueller & Retrika - Show Me A Sign [Revealed] 16. Joey Dale - Yesterday [Revealed] 17. Alexander Popov x Church of Molly x Van Snyder - Back to the Old School [Interplay] 18. Ahmed Helmy & Doppenberg pres. HELBRG - Mind Control [Revealed] 19. MIYUKI - Laser Lips [Mperium] Ruslan Radriges - Outro

Make it Louder! Episode 596 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm596 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM596 TRACKLIST: Ruslan Radriges - Intro 01. Mosii - In Control [Makemba Music] 02. Beatsole - Synthesis [Nomads] 03. Hit The Bass & U-Jeen - Empty Violence [Interplay] 04. Kasablanca & Township Rebellion - It's Chemical [Mahool] [SOME LATELY FAVORITE] 05. Vigel x M.J.E x Michael Chodo - Take My Soul [Protocol] 06. Inners - Faded [Space 4] 07. CultureKind - Supersonic [Zerothree Music] 08. Lancer - Come On Over [Lancer Music] 09. Vion Konger - In My Mind [Smash The House] 10. Millinova - Pressure [On The Way] [PERFECT TUNE] 11. Pascal Letoublon x Madism x Mougleta - Surrender [Future House Music] 12. Kyros & KROMI - Wanna Dance [Revealed] 13. Alexander Komarov - Forever [Interplay] [MOMENT OF THE PAST] 14. Somnia x Ruslan Radriges - High In Your Low 15. XiJaro & Pitch x Artento Divini pres. Bad Boys - The Blind Eye [Revealed] 16. Modeau & Bryan Kearney - Ready to Fly [Musical Freedom] 17. Matt Dybal x DVDEK - Black Room [Revealed] 18. ALY$HIA - Let Me See You [Revealed] 19. Felicia - My System (Blasterjaxx Remix) [Spinnin] Ruslan Radriges - Outro

2026-05-05 | UPDATES #194 | Moscow goes dark, Putin begs for calm and for ‘permission' to run his tin pot victory day parade. Zelenskyy dictates the terms, in one of the greatest political inflections of history. Ukraine now calls the shots about what happens and does not happen in the swamp empire. Putin does not control, the agenda in Moscow, and Red Square, Ukraine does. Putin's panic hits maximum velocity four days before the May 9 parade, as he seeks to trade Ukrainian prisoners for a promise of clear skies to act the cosplay dictator one last time on Red Square. The streets of Moscow on the morning of 5 May 2026. A cashier at a corner café tries to charge a customer through a contactless card terminal. The terminal beeps and refuses. The customer stares at it. The cashier shrugs. The taxi app on the customer's phone shows a grey screen and a spinning circle that will not finish. The Yandex maps will not load. The messenger notifications make their familiar sound — but when the customer taps to read, the messages will not open. A landline phone in the back of the café rings. Pagers, last seen in 1999, are reportedly being procured by some Moscow firms. AFP reporters in Moscow this morning watched as multiple shops were unable to process card payments at all. ATMs are intermittent. The Russian capital — the political and financial heart of the largest country on earth — has been thrown back into a mid-1990s pre-digital state on the orders of its own government. Mobile phone subscribers are being warned that their devices will turn into useless bricks both before and during the Victory Day parade period. ----------SUPPORT THE CHANNEL:https://www.buymeacoffee.com/siliconcurtainhttps://www.patreon.com/siliconcurtainhttps://www.gofundme.com/f/scaling-up-campaign-to-fight-authoritarian-disinformation----------ACTIVE CAMPAIGN:We are raising funds for 5 of 15 Vampire DronesSilicon Curtain for Kupiansk Vampires. Dzyga's Paw, together with Jonathan Fink, is joining forces to raise $40,000 to provide the Khartiia Brigade with Vampire Drones.https://dzygaspaw.com/silicon-curtain-for-kupiansk-vampiresThese heavy bombers are designed to destroy manpower and equipment, as well as for remote mining. The Vampire UAV, manufactured by Skyfall, has proven itself to be one of the most effective weapons in the Kupiansk direction. Skyfall is one of Ukraine's largest defense tech companies, producing Vampire bomber drones, various modifications of Shrike FPV drones, P1-SUN, Shahed drone interceptors, communication systems, and components.----------PLEASE HELP ME ME TO GROW SILICON CURTAINWe are planning our events for 2026, and to do more and have a greater impact. After achieving more than 12 events in 2025, we will aim to double that! 24 events and interviews on the ground in Ukraine, to push back against weaponized information, toxic propaganda and corrosive disinformation. Please help us make it happen!----------SOURCES: CNN — "Analysis: Putin will host a scaled-back parade in Red Square this year, amid mounting pressures and threats" (29 April 2026) Tempo — "Russia Offers Ukraine May 8-9 WWII Anniversary Ceasefire" (4 May 2026)Al Jazeera — "Russia and Ukraine declare competing ceasefires" (4 May 2026)Euronews — "Russia unilaterally declares Victory Day ceasefire while Zelenskyy tables own truce" (4 May 2026) Kyiv Post — "Russia Blacks Out Mobile Internet in Moscow, St. Petersburg Ahead of Victory Day Showcase" (5 May 2026) Al Arabiya / AFP — "Moscow shuts off mobile internet ahead of Victory Day parade" (5 May 2026)Human Rights Watch — "Russia: Internet Shutdowns Escalate" (31 March 2026)NBC News — "Mobile internet blackouts sweep Moscow, leaving residents feeling 'powerless'" (March 2026) Chatham House — "Moscow internet blackouts: the Kremlin tightens its grip on Russia's digital space" (27 March 2026) RBC-Ukraine — "Parade in Moscow to trigger mobile internet shutdown" (4 May 2026)----------

Make it Louder! Episode 595 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm595 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM595 TRACKLIST: Ruslan Radriges - Intro 01. DJ Tony Magic & Inners - Invasion [Interplay] 02. REVLIN - Red Light [Interplay Flow] 03. Armin van Buuren & Skytech - She A Freak [Armada] 04. Vigel x M.J.E x Michael Chodo - Take My Soul [Protocol] 05. Miirabelle x Shayan - Holding Back [White Label] [PERFECT TUNE] 06. Cubicore - Dust On The Ground [Catalystic] 07. DJ Matt - I Can Feel It [Anchor] 08. DJ Nejtrino - I Like It [Interplay] 09. Knolldoll - We Are The People [No I Doll] 10. Armin van Buuren x Argy x Marlo Rex - Like A Child [Armind] 11. Heatbeat & Bigtopo - Beats Collide [Hypersia] [MOMENT OF THE PAST] 12. Armin van Buuren & Adam Beyer vs. D-Shake - Techno Trance [SOME LATELY FAVORITE] 13. DJ Kuba x Neitan x DJ Terry - Greece 2000 [Future House Music] 14. Craig Connelly pres. CIRCA96 x Sarah De Warr - Breathing Underwater [Black Hole] 15. Matt Dybal x DVDEK - Black Room [Revealed] 16. Shogun pres. NXA - Catch A Fall [Magik Muzik] 17. Paul Oakenfold x Sneijder - Bullet In The Gun [Perfecto] 18. Tai Woffinden x The Space Brothers - Shine [Armada Captivating] Ruslan Radriges - Outro

W Moskwie deweloperzy projektują dziś mieszkania bez kuchni. Po co, skoro gotowy obiad dotrze za trzydzieści minut, a supermarket jest na dole? To zdanie z rosyjskiej konferencji branżowej padło bez zaskoczenia — i jest dobrym wstępem do tego, co zmieniło się w Rosji przy stole od 2022 roku.W 253 wydaniu „Czytamy po rosyjsku" Bartosz Gołąbek patrzy na rosyjskie społeczeństwo przez talerz. Czytamy rosyjską prasę branżową — Kommersant, Retail.ru, raporty NTech, Romir, dane Sbierbanku — i układamy z nich obraz kraju w czwartym roku pełnoskalowej inwazji na Ukrainę.Co jedzą Rosjanie w 2026 roku, ile to kosztuje (z przeliczeniem na euro), kto na tym zarabia, a kto traci. Rynek gotowej żywności wart 1,32 biliona rubli, ramen wypierający sushi, mrożona pizza z Mordowii, kawior z humanitarnych hodowli, restauracje zamykające się w tempie rekordowym od ćwierć wieku. Plus historia popularnego rosyjskiego bloggera kulinarnego, który właśnie zamknął biznes — bo Yandex podwoił ceny dostawy.Punktem wyjścia jest świeża nagroda WHERETOEAT INTERNATIONAL 2026, wręczona w Moskwie 14 kwietnia. Po drodze: nowe prawo o języku rosyjskim na szyldach, dwa różne rosyjskie przewodniki restauracyjne, wielokulturowość kuchni postsowieckiej i wybory do Dumy w cieniu indeksu zaufania konsumentów.Pod koniec odcinka — „Alfabet Ukrainy" Nikodema Cudzicha, naszego współpracownika, który litera po literze przybliża słuchaczom Ukrainę. Dziś litera Г: гідність — godność. Rewolucja godności.Prowadzi: Bartosz GołąbekFelieton „Alfabet Ukrainy": Nikodem CudzichKanał: Sprawy Wschodu — sprawywschodu.online

Early bird discounts for the San Francisco World's Fair, the biggest AIE gathering of the year, end today - prices will go up by ~$500 tonight so do please lock in ASAP!From near-universal AI tool adoption inside Shopify to internal systems for ML experimentation, auto-research, customer simulation, and ultra-low-latency search, Mikhail Parakhin joins us for a deep dive into what it actually looks like when a 20-year-old, $200B software company goes all-in on AI. We cover why Shopify has become much more vocal about its internal stack, what changed after the December model-quality inflection, and why the real bottleneck in AI coding is no longer generation, but review, CI/CD, and deployment stability.We also go inside Tangle, Tangent, SimGym, which are three major AI initiatives that Shopify is doing to make experimentation reproducible, optimization automatic, customer behavior simulatable, and search and catalog intelligence faster and cheaper at scale. Along the way, Mikhail explains UCP, Liquid AI, and why token budgets are directionally right but often measured badly, why AI-written code can still increase bugs in production, what makes Shopify's customer simulation defensible, and what he learned from the Sydney era at Bing.We discuss:* Mikhail's path from running a major Microsoft business unit spanning Windows, Edge, Bing, and ads to becoming CTO of Shopify* Why Shopify is talking more publicly about AI now, and why staying at the frontier has become necessary for the company* Shopify's internal AI adoption curve, the December inflection, and why CLI-style tools are rising faster than traditional IDE-based tools* Why Jensen Huang is directionally right on token budgets, but raw token count is still the wrong way to evaluate engineering output* Why the real unlock is not more agents in parallel, but better critique loops, stronger models, and spending more on review than generation* Why AI coding can still lead to more bugs in production even if models write cleaner code on average than humans* Why Shopify built its own PR review flow, and why Mikhail thinks most off-the-shelf review tools miss the point* How PR volume, test failures, and deployment rollback are becoming the real bottlenecks in the agent era* Why Git, pull requests, and CI/CD may need a new metaphor once code is written at machine speed* What Tangle is, and how Shopify uses it to make ML and data workflows reproducible, collaborative, and production-ready from the start* Why Tangle is different from Airflow, and why content-addressed caching creates network effects across teams* What Tangent is, and how Shopify is using auto-research loops to optimize search, themes, prompt compression, storage, and more* Why Tangent is becoming a democratizing tool for PMs and domain experts, not just ML engineers* Why AutoML finally feels real in the LLM era, and where auto-research still falls short today* Why Tangle, Tangent, and SimGym become much more powerful when combined into one system* What SimGym is, why simulated customers only work if you have real historical behavior, and why Shopify's data gives it a moat* How SimGym evolved from comparing A/B variants to telling merchants what to change on a single live storefront to raise conversions* Why customer simulation is so expensive, from multimodal models to browser farms to serving and distillation costs* How Shopify models merchant and buyer trajectories, runs counterfactuals, and thinks about interventions like discounts, campaigns, and notifications* Why category-level behavior is so different across commerce, and why ideas like Chinese Restaurant Processes are showing up again in practice* Shopify's new UCP and catalog work, including runtime product search, bulk lookups, and identity linking* Why Shopify is using Liquid AI, and why Mikhail sees it as the first genuinely competitive non-transformer architecture he has used in practice* Where Liquid already works inside Shopify today, from low-latency query understanding to large-scale catalog and Sidekick Pulse workloads* Whether Liquid could become frontier-scale with enough compute, and why Shopify remains pragmatic and merit-based about model choice* Who Shopify is hiring right now across ML, data science, and distributed databases* The Sydney story at Bing, why its personality was not an accident, and what Mikhail learned from deliberately shaping AI character early onMikhail Parakhin* LinkedIn: https://www.linkedin.com/in/mikhail-parakhin/* X: https://x.com/MParakhinTimestamps00:00:00 Introduction: Mikhail Parakhin, Microsoft, and Shopify00:01:16 Why Shopify Is Talking More About AI00:02:29 Internal AI Adoption at Shopify and the December Inflection00:06:54 Token Budgets, Jensen Huang, and Why Usage Metrics Can Mislead00:10:55 Why Shopify Built Its Own AI PR Review System00:12:38 AI Coding, More Bugs, and the Real Deployment Bottleneck00:14:11 Why Git, PRs, and CI/CD May Need to Change for Agents00:18:24 Tangle: Shopify's Reproducible ML and Data Workflow Engine00:21:19 Why Tangle Is Different from Airflow00:26:14 Tangent: Auto Research for Optimization and Experimentation00:30:07 How Tangent Democratizes Experimentation Beyond ML Engineers00:33:06 The Limits of Auto Research00:36:36 Why Tangle, Tangent, and SimGym Compound Together00:37:20 SimGym: Simulating Customers with Shopify's Historical Data00:42:47 The Infra Behind SimGym00:46:00 Why SimGym Gets Better with Real Customer History00:47:30 Counterfactuals, HSTU, and Modeling Merchant Trajectories00:51:55 CRPs, Clustering, and Category-Level Customer Behavior00:53:30 UCP, Shopify Catalog, and Identity Linking00:55:07 Liquid AI: Why Shopify Uses Non-Transformer Models00:59:13 Real Shopify Use Cases for Liquid01:03:00 Can Liquid Scale into a Frontier Model?01:09:49 Hiring at Shopify: ML, Data Science, and Databases01:10:43 Sydney at Bing: Personality Shaping and AI Character01:13:32 Closing ThoughtsTranscript[00:00:00] swyx: Okay. We're here in the studio, a remote studio, with Mikhail Parakhin, CTO of Shopify. Welcome.[00:00:08] Mikhail Parakhin: Thank you. Welcome.[00:00:10] swyx: I don't even know if I should introduce you as CTO of Shopify. I feel like you have many identities. Uh, you led sort of the, the Bing ML team, I guess, uh, uh, or ads team. I, I don't know, I don't know, uh, you know, it's, uh, people va-variously refer you as like CEO or, or, uh, I don't know what that, that, that said previous role at Microsoft was.[00:00:29] Mikhail Parakhin: Uh, that was... Yeah, my previous role w- at Microsoft was the-- I actually was the CEO of one of Microsoft's business units, which included, as I, you know, as we discussed, all the things that people like to laugh about, uh, including Windows and Edge and Bing and ads and everything.[00:00:47] swyx: Yeah, yeah. What a, what a, what a wild time.You've obviously, uh, done a lot since you landed at Shopify. Uh, one of the reasons I reached out was because you started promoting more sort of internal tooling, uh, primarily Tangle, but also a lot of people have seen and adopted Tobi's QMD, uh, and obviously, I think, uh, Shopify has always been sort of leading in terms of, uh, engineering.I think more-- it's just more recent that you guys have been more vocal about your sort of AI adoption. Is that, is that true?[00:01:16] Mikhail Parakhin: Well, I think AI tools in general are fairly recent development, uh, and we've-- Shopify, you know, at this stage of its development, we're developing AI in-in-house and other, uh, building tools that use AI and, you know, interfacing with the wider AI community, uh, you know, are on the sort of the, uh, runaway trajectory.So it just did by sort of natural byproduct. We, we talk about it more also. We just, uh, just even yesterday, Andrej Karpathy was famous in tweeting about, oh, are there some, uh, ways, uh, that, that you can organize your agents to store the data and then, uh, look up the data so that you don't have to research or, or lose context every- Yestime. And a little bit tongue in cheek, I tweeted that, “Hey, we've, we've done it much earlier, and we even have different approaches, Tobi and I.” Tobi, of course, is a big fan of QMD, and I'm more of a SQL, SQLite fan. But, uh, yeah, very similar things that we've already done here. The point is, yeah, we're very dynamic, you know, explosively growing company, and we have to be at the forefront of AI adoption, obviously.[00:02:29] swyx: Yeah. Yeah. Um, you, your team kindly prepared some slides actually that we were gonna bring up on to, uh, the screen. I think I can, I can screen share, and then we can kind of go through some of the shocking stats that maybe, maybe put some numbers to what exactly is going on. So here we have, uh- An internal AI tool adoption chart.What are we looking at here? What ?[00:02:54] Mikhail Parakhin: Yeah, this is very interesting statistics. Uh, this is number of daily active workers, you know, think of, uh, DAO, basically the active users of-[00:03:05] swyx: Yeah ...[00:03:05] Mikhail Parakhin: AI tool as a percentage of all the people in the company, right? And then- Yeah ... different AI tools. And, uh, you could see two things here is that one is the green is total.Uh, green is just total. So you could see that it approaches really % by now. It's hard not to do your job now without interacting deeply, at least with one tool. You could see another interesting thing is just as many people commented in December was the phase transition when suddenly models gotten good enough that, that everything took off and started growing.Uh, it, it was many people noticed that the thing is that small improvements accumulated into this big change in Sep- December roughly timeframe.[00:03:52] swyx: Yeah.[00:03:52] Mikhail Parakhin: The other thing I would claim you could see is that, uh, CLI-based tools and tools that don't require you to look at the code becoming more popular, and you could see, yeah, various versions of, uh, Cloud Code and Codex and Pi and internal development tools taking off.Uh, exactly, yeah, uh, and blue is our River, just internal agent for coding, where tools, uh, that require IDEs such as, uh, GitHub, Copilot or Cursor, they're not exactly shrinking, but they're not growing as fast. Like, uh, red, red line is, is the IDE kind of tools. So you could see that they're, they're not experiencing as, as fast of a growth.[00:04:37] swyx: As I understand it, basically, every employee has their choice, right? Of choose whatever tool you use, and then you're just kind of doing a, a daily sur-survey or something.[00:04:47] Mikhail Parakhin: Exactly. And, uh, we- Yeah ... the, the push is to get your job done, you can use any tool, and we effectively fund unlimited tokens for everybody.Uh, we, we do, we do try to control the models that, uh, people use, but from the bottom, not from top. Like we basically say, “Hey, please don't use anything less than Opus four point six.”[00:05:09] swyx: Oh .[00:05:10] Mikhail Parakhin: Some people, some people end up using GPT five point four extra high. Some people use Opus four point six. Um, uh, you know, uh, there are some, uh, there are plus and minuses in going for full one million context window versus not.But, uh, we try to discourage people from using anything less than that.[00:05:28] swyx: Yeah, yeah. Got it, got it. Uh, I mean, uh, that's, you know... The, the next chart here, it really kind of shows the expansion and the sort of December twenty twenty-five inflection, right? That, uh, people are using a lot of tokens. I think it's also really interesting that no one was kind of abusing it in twenty twenty-five.Like it was- Had comparatively, uh, to this year, there was almost no growth. I mean, it's still like, you know, probably, probably gave fifty percent.[00:05:56] Mikhail Parakhin: Yeah. This is just a different scale. It's still exponential- Yeah, yeah ...growth at just a different- ...rate of expansion. Uh, there was inflection point, and Sean, I would claim the, the super interesting part here is that you could see that the distribution becoming more and more skewed.Yes. The top percentiles grow faster. So that means- Yeah ...the people in the top ten percentile, they, their consumption grows faster than seventy-five and so forth. So, uh, the distribution skews more and more towards the highest users, which is... I don't know what it tells me. It's like it feels not ideal, to be honest.Or maybe it's okay. We'll see.[00:06:36] swyx: Why does it feel not ideal? Is, is it because of, um, quantity over quality, or what's the concern?[00:06:42] Mikhail Parakhin: Because take it to the limit. That means, you know, if, if this rate of separation continued- Ah, yes ...a year, there will be one person consuming all the tokens. So it's just, it's kinda strange.[00:06:54] swyx: Yeah, I mean, um, uh, I, I think internal like teaching and all that, uh, will, will help sort of distribute things more widely. But in, in the early days, of course, the people who are sort of more AI-pilled will obviously find more ways to use it than the people who are less AI-pilled. Maybe let's, let's call it that.I'll just, I'll just kinda quickly, uh, pause from the, the... You know, we will go back to the rest of the slides, but I just wanna, um, review, you know, there are a lot of CTOs of, of large companies like yourself where they're all considering some kind of token budget, right? Like I think it's something, something that Jensen Huang has been talking about, where like if your 200K engineer is not using 100K of tokens every year, like they're, they're underutilizing coding agents.Of course, Jensen Huang would say that, but like it seems a very quantity over quality approach and like some, some people are basically saying like, well, is this comparable to judging engineer quality by lines of code, right? Which we also know is like kind of flawed, but better than nothing. So I, I don't know if you have like a sort of management take here on, on how to view this kind of, uh, metrics.[00:08:02] Mikhail Parakhin: Well, I mean, you're, you're baiting me. I, I like... This is my favorite topic. Uh, if you let me, I'll probably talk for two hours on just this. I have a lot of things to say. Like I do think Jensen gotten a lot of bad press saying, “Oh, of course you're, you know, this, uh, the- ...the cake seller says you don't need enough cakes.”You know? Like, of course. Uh, but, uh, I actually, uh, think that's undeserved. I think he, he's actually right. Uh, I do think- He,[00:08:33] swyx: he's directionally correct.[00:08:35] Mikhail Parakhin: Yeah. Yeah. He's directionally correct for sure. Uh-[00:08:37] swyx: Who knows what the right number is? Yeah.[00:08:39] Mikhail Parakhin: The thing that I do Uh, want to say, and this is something that we learned through trial and error and very important is like two things.One is that it's not about just consuming tokens. Uh, you can consume tokens and, and in fact, the anti-pattern is running multiple agents, too many agents in parallel that don't communicate with each other. That's almost useless, uh, compared to just fewer agents and burns tokens very efficiently. Uh, setting up the right critique loop, especially with the high quality models, where one agent does something, the other one, ideally with a different model, critiques it, uh, suggests ways to improve it, the agent redoes it with this critique and, and so it takes much longer.So people don't like it because latency goes up. You know, they, they have to wait until this debate is happening. But, uh, the quality of the code is much higher. And another thing, just since you mentioned like, look, uh, uh, yeah, the overall budget is just like, uh, lines of codes. Lines of codes are exploding for everybody right now, or partially because AI is really mover balls, but partially just because AI can write a lot more code, you know, doesn't get tired.And so you have to have to have a very strong narrow waist during PR review. Otherwise, just the number of bugs will go through the roof. It's, uh, it's this unexpected consequence of the just volume trumping everything. I would claim by now good model writes code on average with fewer bugs than, than the average human.But since they write so much more of it, like more of it will make it into production. So you have to- You still[00:10:26] swyx: have[00:10:26] Mikhail Parakhin: more bugs. Yeah. Have to have a very rigorous PR reviews, also automated of course. But, uh, yeah, that to spend a lot budget there. Like this, this for me, for me, actually, the important metric is the ratio of budget spent during code generation versus, uh, spent, uh, expensive tokens like GPT, uh, five point four Pro or, uh, uh, Deep Think from Gemini, you know, checking on PR reviews.[00:10:55] swyx: Yeah, totally. Uh, I noticed in your chart you didn't have any review tools. Do you just use like, like let's say a Claude code to review tools? Or do you have another set of review tools like the Greptiles, the Code Rabbits, uh, Devin Reviews has a review tool. I don't know if you've had those specialist review tools.[00:11:13] Mikhail Parakhin: You are a little bit jumping on my store tool right now because the graphs I was only showing public tools. Uh, uh, the-- I haven't found a good PR review tool that, that does what I think should be done. And, uh, partially my, my thinking is because it's so... It just goes against both what people feel like emotionally they prefer and, uh, some of the, uh, you know, frankly Even business models that, that the companies run.At peer review tool, uh, time, you want to run the largest models. That means, I don't know, Codex or, or, uh, Cloud Code is not gonna cut it. You need to have pro-level models if you really want to, uh, stand the tide of bots from going into production. And you need us to spend a lot of time, the models taking turns, but you don't want, like, a big swarm of, uh, of, uh, agents.So in fact, you end up in a different dual-dualistic world where you generate not that many tokens. You, in fact, generate few tokens, but it takes f-a long time because these are expensive models taking turns rather than many, many agents trying to do many things in parallel. So that's, that's why I feel like I haven't found good tools, so we are using our own for peer review for now.[00:12:33] swyx: Yeah. Yeah. I mean, uh, I think a lot of companies are building their own, uh, especially to their needs, right?[00:12:38] Mikhail Parakhin: Mm-hmm.[00:12:38] swyx: Um, I, uh, you also have a chart here going back to the slides on, uh, PR merge growth, where we're now at thirty percent, uh, month on month rather than ten percent. Uh, and also the, the estimated complexity is going up.You know, this is productivity, right? ‘Cause y- presumably there's more stuff going into the code base and more, more features getting worked on. I'm curious about the backlog, right? Like the, the, the-- I actually don't mind a pro-level model taking an hour or two hours to review my PR, because I've dealt with humans who take a week to review my PR, right?And I keep pinging them on Slack, “Hey, hey, review my PR.” So, you know, I think there's some trade-off here where, like, it still doesn't make sense.[00:13:18] Mikhail Parakhin: Exactly. That, that's exactly m-my point. Uh, that on one hand, you can tolerate longer latencies at, uh, PR. On the other hand, like right now, the real problem is not in spending time waiting for PR.It's real problem is since there's so much more code than- Yeah ... uh, probability of at least some tests failing going up, and then you, like, keep de-failing, then you have to find the offending PR, evict it, retest it without that PR, and so deployment cycle becomes much longer. Uh, so it actually, in terms of the overall time to deploy, it's total time savings if you spend more time on a longer model, like thinking for an hour, because then, then you, you don't have to spend all that time during testing and rolling, you know, rolling back the deployment.[00:14:03] swyx: Yeah, totally. That's still worth it. You know, you don't look at the individual, look at the aggregate, and look at the, the, the change in the aggregate system.[00:14:11] Mikhail Parakhin: Exactly.[00:14:11] swyx: I'm kind of curious if, like, there's this PR mentality and, like, c-- the, the, the CICD paradigm will be changed eventually. Some people are like, obviously a lot of people want new GitHub, but I even wonder if, like, Git is the problem, right?Like, is that the bottleneck? Is the concept of a PR a bottleneck? Do you guys use stack diffs? I don't know if, uh, that's a, like, a merge queue stack diff type of thing.[00:14:34] Mikhail Parakhin: We, we use, we use Stacks, we u- we use Graphite. We worked with, uh, Graphite a lot. Uh, so we use Stack, uh, PRs. I think, uh, like that's clearly the overall CICD in general, and the interaction with the code repository right now is the, clearly the sort of the, the main issue and the bottleneck for us, uh, and highest top of mind.I would say we probably need a different metaphor or different whole design of how to process it in new agentic world. I haven't seen anything dramatically better yet. I, I think everybody right now is just trying to keep their head above the water ‘cause, ‘cause there, there's so many PRs and then everybody's CICD pipelines start creaking, the, the times are increasing, the number of bugs slipping by increasing, and you have to, have to clap on down.And so we are a little bit in this situation when we need to first stabilize that story and then start thinking, hey, what, what it could be a completely different and new world, which I haven't... I know some people working on it. I haven't seen something, like anything super compelling yet, but clearly the old thing were designed for humans will need to be morphed into something new.[00:15:53] swyx: One of the thing that I, I think about is kind of like the merge conflict is basically a global mutex on the whole system, right? And in, in hu- in human organizations, we do have something like that. It's the company standup. But like, other than that, it's like it's actually fitting for us to be somewhat decentralized, somewhat plugged into one stream of information source, but somewhat lossy.Like it's okay, you know, that, that not every delivery is like atomic consistency. Like we're not dealing with a database sometimes.[00:16:27] Mikhail Parakhin: This is a very good point, uh, because since humans don't write code too fast, you know that global mutex is not too bad. Once you-[00:16:36] swyx: Yes ...[00:16:37] Mikhail Parakhin: start writing code at the speed of machine, it becomes the, you know, the bottleneck.Then what do you do? Maybe, and I can't believe I'm saying this because I, I'm long-- lifelong opponent of, uh, microservices, and I always thought that was, like, a really bad idea. And now that you're saying it, like, maybe in new guys like microservices will make a comeback, you know, because then you, you can ship things independently in tiny things and, and the managing all that complexity automatically will be much easier.I don't know. Like, we'll s-- we'll have to see.[00:17:10] swyx: Yeah. I mean, I don't know what the Microsoft or, or Shopify thing is, but I, I read this paper from Google where they have a monorepo that deploys into microservices, right? And then, uh, the other concept that I think about a lot is the Chaos Monkey concept from, from Netflix.Being able to create, like, this robust system where, um, uh, you know, you, you have the service discovery, you have the, uh, the independent, independent microservices discovery and, and, uh, you know, probably going to be a fair amount of duplication. That's how an organic system sort of scales, uh, that, that you have that...I don't know how you call it. Slack? Robustness? Depend-- uh, d-duplication. I, I, I forget the-- I, I'm-- And this-- those-- these are not exactly the terms- Hmm ... I'm looking for, but I c-can't really think of the words. Okay. I was gonna go into Tangent and Tangle. Uh, so, uh, we, we sort of discussed the overall stats that, uh, Shopify has.Uh, but, you know, I, I think some, some pretty cool stuff that you guys are working on is your ML experimentation, uh, and your, your sort of auto tr-research training pipeline. Presumably you're much closer to this one because it's, it's a sort of personal hobby of yours. How, how would you explain them in, together?I thought we have a slide that, like, uh, has the s- the system diagram.[00:18:24] Mikhail Parakhin: Yeah. Tangle first and then Tangent as a-[00:18:27] swyx: Yeah ...[00:18:28] Mikhail Parakhin: as a thing on top of Tangle. And, uh, Tangle is the third generation, I claim, of, uh, systems of, uh, running any data processing, but a bit with a skew for ML experiments, but not necessarily. Any sort of data processing tasks where you need to iterate, share, and you have scale so that you want maximum efficiency.You know how, like, normally you would work, you would-- Imagine you're a data scientist or an ML practitioner, you would get Jupiter notebooks or, or maybe you would get, uh, you know, Pyth- your Python scripts, and you would manage the data, and you produce those TSV files, and you put them in some JFS or something.Then you would notice that, oh, it has this, uh, weird missing values. You go and write another script that, uh, goes and replaces them with, uh-[00:19:20] swyx: Ah ...[00:19:21] Mikhail Parakhin: dash S. And then, then you, then you run some, some, uh, “Oh, I need to filter bots.” And so you run some light GBM model that, uh, removes the bots. And then, then you like-- And then you, you kind of like get into shape, and then you start experimenting, and you run multiple experiments, and then you're like, “Oh my God,” like, “this experiment is worse.”You undo, and you cannot get to previous result. And like, “Ah, what did I do?” Like that. Again, then, then you finally like get everything working. Then you like start throwing it over the fence to production. You, you replicate it, those things don't work, and then sometimes you like don't notice that you forgot some feature naming and the, the features don't match.But then, like imagine you, you did everything, and then six months later you're like, have to repeat it because now there's more data, or you wanted to do another pass, and you're like, “What, what did I do?” Or like, or like, “This script crashes now,” or the, “the path has changed.” And then, then you're trying to, like you spend another month just doing ar- digital archeology on your own, you know, history, right?Now multiply that by many, many teams. Now imagine you got an intern that you wanna ramp up. Now you have to show that intern, “Oh, you know, look, here's the folder, there's the scripts, you know, ask your cloud agent to do, and then, uh, to, to figure it out.” And then cloud agent does something, and then you're, “Ah, yeah, right, right, it was the wrong folder.I forgot to tell you, I actually have this other thing I forgot myself.” And, and that's, that's the, like, the daily life we all, uh, all know it, uh, if, if you're a data scientist, machine practitioner, ma- machine learning practitioner or, uh, or even like any data managing, uh, person.[00:21:00] swyx: Yeah. So I, I used to do this, uh, f- uh, on the quant finance side, uh, in, in my hedge fund.So we did this before Airflow, and then, uh, obviously Airflow came along and, uh, then more recently Dagster, uh, I would say is like, in my mind, what I would use for that shape of problem, uh, where you had to materialize assets and create a pipeline.[00:21:19] Mikhail Parakhin: And that's, that's very good segue because... So Airflow is great, but Airflow is more about you, you have something and you wanna repeatedly run it in production on schedule.It's less about you as a team developing things and being able to share, and you grabbing the standard pipeline and saying, “Hey, I wanna change this tiny little component in the huge sea of data processing, and I don't wanna-- I wanna run ten experiments on this, and I wanna do hyperparameter optimization.”All that is very hard to do with Airflow. It's very easy to do with Tango. Tango is m- more about, it's everything about group of people Running experiments, it might be agents too nowadays. Uh, running experiments cheaply, collaborating, sharing results. Uh, you don't need to understand fully. You, you grab-- you clone somebody else's experiment or somebody else's pipeline, uh, run, uh, change small piece, run it, be, like, get it to production state, and then ship in one click.So then the... You don't have to port it into any other system to, to run in production. You can just run the same experiment. It's, it's fully production ready. And, and it's, uh, it has lots of... Again, as I said, it's third generation system. The original one was, I would claim there was Ether and then, uh, at least in my career, Ether was the first, first, uh, that pioneered this type of approach.And then there was, uh, Nirvana, which, uh, uh, at Yandex, which did kind of sec-second take on this. And now this one aggregates the, the learnings from all of those and, and Airflow as well to, to get to the state where you try it, it, it feels kind of magical. Uh, ‘cause now everything is based on content, uh, hashes.So even if the version changed, but if the output didn't change, nothing is being rerun. It's very efficient. If you... Multiple people start experiment that needs the same sort of data preprocessing, it's not repeated multiple times. It's automatically done only once. If you start ten experiments that all require, you know, some, some data preparation first as the first step, and you don't have to coordinate for that.Like, you don't have to know that other people are starting it. You now, it's very easy compos-, uh, composability, any language you can u- uh, you wanna use, and it's very visual. So you can see immediately, you can edit it easily, you can assemble small things with just even mouse clicks if you want to, and, uh, share, clone.And everybody knows also it's fully kind of static in the sense that we rerun it second time, it will exactly have the same results. Like, you will never have to do digital archeology. So full versioning and everything is also there.[00:24:06] swyx: Uh, so, so people can, uh... It's open source. Go to the GitHub repo and, and, uh, check it out.Uh, and it is also a really good, uh, blog post about it. I think all these is, like, really appealing. The, the, the, the thing that I think sells me the most about it is that, um, sort of development to production transition, right? Which I think, um, a lot of people haven't really solved that, uh, strictly, right?Like, we develop really, really well in, in Python notebooks, but then, you know, that's obviously not a sort of production ready process. I think that, like, any way in which that is solved, I think is, is very appealing. Then the other thing that you mentioned, which also raised my eyebrows, was content-based caching, which you mentioned is, is, um, you know, is ve-very much, uh, um, a sort of efficiency measure about, uh, you know, just like recalculation only on, on sort of content addressing Which I think makes sense.Uh, it surprised me that the savings could be this much, but maybe I just haven't worked at your scale where there's so much duplication, uh, that people just rerun because they change a single ID upstream.[00:25:10] Mikhail Parakhin: It does, yeah. But it's not only you rerun. The, the main savings are coming from the fact that you ran it, you got your job done, and you moved on.Then- Yeah ... somebody else in some department you don't know existed runs the same task, but on a newer version.[00:25:27] swyx: Yeah.[00:25:27] Mikhail Parakhin: Like right now, you can't, in, in most of the organizations, you can't even find out about it so that you can't even measure that you're spending that time twice, right? Here- Yeah ... if everybody's on Tango, that's detected automatically and detected that the output is the same.And then for that person, all it looks like is like experiment just suddenly moved, jumped forward, right? Uh, uh- Yeah ... so that's because, because the, there's network effect of multiple people helping each other.[00:25:51] swyx: Yeah. This is one of those things where it's designed to be a platform from the beginning rather than an individual developer's tool from the beginning, right?And, and everything's gonna streams down from there. That is the sort of Tango, uh, orchestrator, and it's, it manages jobs. We've seen a few versions of this, and this is obviously, uh, uh, the sort of, uh, unique approaches that you guys have, have, uh, figured out. And then there's Tangent.[00:26:14] Mikhail Parakhin: Yeah. And Tangent is basically an automatic auto research loop that can help and kind of do your work for you.Uh- ... you know, uh, effectively, effectively, Andrej Karpathy recently popularized it with auto research. Yes. Remember he said like he was, uh, speed running this, uh... Yeah, uh, you know the story. The, here we're basically bringing the same capability into Tango so that, uh, the, uh, Tangent can analyze it. It's just an agent that can run multiple experiments, figure out what can be changed, and keep on rerunning it, keep on modifying until, uh, maximizing some goal, some loss function, whatever you need to, to achieve.And in general, I would say if you're not using auto research-like approach in whatever you do, like literally whatever you do, then you're missing out. We saw at Shopify that taking like a wildfire, anything where you can put measurements can be done dramatically better. Our-[00:27:19] swyx: Mm-hmm ...[00:27:20] Mikhail Parakhin: uh, speed of, uh, templatization HTML, uh, completely new UX tem- uh, templatization of, uh, reducing latency for liquid themes.Uh, we-- Our, uh, search, uh, recently we moved from It's hard even, uh, quote from eight hundred QPS to forty-two hundred QPS with the same quality just by pure optimizations and not a research loop that kept running and changing code in our index serve on the same number of machines, just increasing the throughput.We, we managed to improve the quality of gisting and machine learning process. Uh, you know, gisting is the prompt compression technique that[00:27:59] swyx: allows for[00:28:00] Mikhail Parakhin: lower latency and, and lower and, uh, actually higher quality slightly. So like literally whatever different walks of life, and it doesn't have to be AI related.Uh, we, we had a reduction in, uh, storage because the agents would go and find data sets that clearly are derivative, uh, and then you don't need to store things twice. You know, we, we, we found somewhat embarrassingly that it was one of the largest tables was hashing random IDs into another random ID, and we literally- Oofput only one. So it was translating, yeah, two random IDs hashed[00:28:36] swyx: into[00:28:37] Mikhail Parakhin: each. So, so[00:28:37] swyx: it has access to the code as well, so it can, it can check the, like what, what the hell is it doing?[00:28:42] Mikhail Parakhin: So there, there cou- it could be run in two levels. You, uh, you know, at the superficial level, it could just use ex-existing components and, uh, reshuffle them.Uh, you know, like you can grab- Yeah ... uh, XGBoost, and you can grab some, some Py- PyTorch module, and then can grab some, you know, grab another tools and, and combine them. At a deeper level, since Tangle is all sort of CLI based underneath you, every, every component is a wrapped really CLI, uh, call and a YAML file, it can analyze code and create new components and, and, uh, keep on iterating as well.So, so you can, you can both have quick modifications of existing t- uh, pipelines with the, with components that are already there pre-baked, or you can create new components, uh, and-[00:29:29] swyx: Yeah ...[00:29:29] Mikhail Parakhin: keep iterating on those. So auto research is, again, this is probably the, the thing I was excited the most in the last two months happening, and we see it taking like, like totally like a wildfire.Just, uh, everybody, every day, every... well, every day, every minute, I would, uh, have somebody Slack message saying, “Oh, look how much better I made it.” And, uh, it's all throughout the research.[00:29:53] swyx: Is this democratized in some way in, in the sense that like is it your ML, uh, engineers and researchers doing this, or is it your regular PMs and software engineers also have the ability to auto-- to use Tangent?[00:30:07] Mikhail Parakhin: This is an awesome question. Like, Tango in general and Tangent in particular are extremely democratizing. Like they- Yeah ... they are the main tools for- ‘Cause I don't[00:30:15] swyx: need the details.[00:30:16] Mikhail Parakhin: Yeah. Exactly. Initially used by ML and AI engineers, but then literally, as you said, PMs are like the highest user right now is one of PMs on our org, uh, Sartak and he was, he was number one by, by usage of, of this ‘cause they're just, uh, energetic and knowledgeable, and now it, it unlocks a lot of capability where you don't have to co-change code manually.[00:30:39] swyx: I mean, I mean, because it kind of cuts out the ML, ML engineer from the process because the, the, the PMs have the domain knowledge and the ability to think about, uh, from first principles about, okay, what, what results do I want? And they can-- they even have the access to the data that, that needs to go in.So it's like in some ways, like this is the magic black box that we've always wanted for, for training and, and for, uh, I guess, uh, uh, hill climbing, whatever.[00:31:04] Mikhail Parakhin: It's basically cloud code for your AI development- ... uh, situation, right? Like now, now you don't have to know exactly how algorithms work. You can just, uh, bring your domain knowledge and expertise and product knowledge and iterate within Tangent until you've gotten the results that you need.[00:31:21] swyx: In my previous roles, every time that someone has pitched AutoML, you know, I've always been like, “Uh, this is not, this is not gonna work. It's, you know, it's, it's always gonna be a flop.” Somehow it's working now. I mean, presumably the answer is now we have LLMs and it's good enough, right? It's, it's an emergent property that we can do auto research, but like, it doesn't feel that satisfying that how come we didn't do this before, right?Like we just did like parameter search and like, I don't know. That's maybe that's it.[00:31:48] Mikhail Parakhin: Yeah. Bayesian optimization and hyperparameter optimization was, was the one that, or facet of AutoML that was used very actively, which incidentally also built into, uh, Tango. But, you know, I know Patrice Simard very well, and, uh, he was such a, uh, such a proponent of AutoML, and he put, like literally spent careers trying to democratize it.Without LLMs, it just turned out to be very hard. Like it, you, you would have flexibility within certain narrow domain, but it was hard to wider scale, and now with LLMs suddenly it's like magic wand, and so suddenly everybody- ... is an AutoML expert.[00:32:28] swyx: Yeah, I, I think it's multiple things, right? Like I'm, I'm just gonna bring up the, the, the chart again, right?Like LLMs can do the monitoring very well. That is the very potentially unbounded, super unstructured. It can do the analysis very well, it can do the... Uh, and basically it is much more intelligence poured into every single step. Uh, there's maybe nothing structurally changed about AutoML, but this is just m-more intelligent and more unstructured.[00:32:53] Mikhail Parakhin: Exactly.[00:32:54] swyx: Any flaws that you've run into? Like everyone is like drinking the Kool-Aid, oh my God, time savings, uh, you know, performance improvements. Like what, what, uh, issues have you have, uh, come up?[00:33:06] Mikhail Parakhin: This is really cool. It's not a solution to all the world's problems for sure. The limitations are usually the ones I-- And this is where we get into a bit of a subjective territory.Uh, I can only share what I've, I've seen so far, and I'm sure the situation, uh, is changing, and, you know, maybe after I say it, like many people will reach out and say, “Hey, what about this?” And you don't know that, and then, then we'll be probably right. But what I've seen is auto research is very good at doing kind of obvious things that you don't have bandwidth to do or you didn't notice or maybe you're not aware of like the-- some standard practices.It is not good at doing something completely out of distribution, something that, you know, you have to think for, for multiple days, uh, and, and do something like none of this. So, so it's, uh, I, uh, set an experiment once, uh, on, on my sort of, uh, hobby thing, and I let it run for, uh, ended up, uh, several weeks run, uh, you know, it's like full production kind of scale, so it, you know, slow runs and, and it ex-- it performed in the end, uh, over four hundred experiments, and only one was successful.I'm like, “Okay, that's, that's good.” But-[00:34:18] swyx: But it saved time.[00:34:19] Mikhail Parakhin: Yeah, I saved time. Like it, it was the, that thing. Yeah, if I, if I were doing four hundred experiments myself, my betting average, as I said, would have been much higher, I'm sure. But also, first of all, it would take me like three years to do four hundred experiments.And, uh, I didn't have to do them. Like the machines were just, uh, the price of electricity did that. So, and I got one improvement, uh, that in, uh, my, my-- Honestly, when I was starting that experiment, my thinking was to go and show that, “Hey, Andre, maybe you just don't know how to optimize.” And I was super smart because in, in my pro-problem, it was optimized for many years, and it was like fully improved.Uh, and I didn't expect it, you know, auto research to find anything at all. Yet it did. So instead of making fun of Andre, I ended up, uh, a big, big supporter. Yeah, that's exactly the tweet. Yes.[00:35:10] swyx: You and Toby really, really go back and forth on-online a lot, which is really funny. Uh, think of it as, as an eval for the optimalness of the code it's running on.Uh, it's almost like it reminds me of like a Kolmogorov complexity thing, but, uh, I guess it's-- there's some optimal thing that you're trying to sort of reduce down to, I guess. Um, and so, so you, you, you know, you should congratulate yourself that you had, uh, you know, uh, ninety-nine percent, uh, optimality.[00:35:36] Mikhail Parakhin: Exactly, yeah. I think Andre really deserves a lot of credit for popularizing this approach. This is, uh, this is incredibly, I think, powerful and cool and You know, the, uh, even him, him just mentioning it led to a lot of gains in a lot of places in the industry, so we should be thankful.[00:35:56] swyx: Yeah. I think he also has a just...I don't know what it is. Like, um, you know, it, it is a simple self-contained project that people can take and apply to other things, which is, is, is one thing, but also just the name. Just like somehow no one, no one managed to call their thing auto research. It's just naming things is very important. I think that that is mostly, uh, our coverage of Tango and, and, uh, Tangents.I think obviously, you know, there's a lot of, uh, ML infra at, at Shopify that people can, uh, dive into. We're about to go into SimGym, but before I do that, any, any other sort of broader comments around this whole effort? Like where is it, where is it leading to?[00:36:36] Mikhail Parakhin: As a segue to SimGym, like all those things start composing strongly.And, uh, you could see a huge unlock when you can look at each one of the tools and, and you see, oh, they're extremely useful. Uh, Tango is useful by itself. Auto Research is useful by itself. SimGym is useful by itself. If you combine all three, you create like synergetic effect. I think that's why we wanted to even, uh, cover them today is because this is something that if you go back even, you know, five years ago, would've been unthinkable.Uh, replicating that, uh, would, would be either incredibly costly or impossible, right? With probably thousands of people are required.[00:37:20] swyx: Well, we have serverless human, uh, serverless intelligence, right? Like, uh, so yes, you do have thousands of hu-- of, of intelligences, not just, not humans. And that's, that's close enough, right?Even if they're not AGI, they're, they're close enough to do the, the task that you need them to do. And, and, you know, that's, there's plenty for, for a lot of routine work, knowledge work. Okay, let's get into SimGym. Um, this is one of those things I, I was surprised to see actually it's apparently your, uh, one of your most popular launches, and I think something that, uh, I think Sim AI, I think Yunjun Park, who did the Smallville thing, there's a very small cottage industry of people trying to do like the simulate customer thing.I think a lot of people maybe don't super trust this yet because they're like, well, obviously they would just do what you prompt them to do, right? But maybe just think, uh, tell us about the sort of inspiration or origin story.[00:38:10] Mikhail Parakhin: That's exactly actually the thing I wanted to cover, because if you don't have the historical data, all you can do is prompt a-agents in a vacuum, and they will do exactly what you prompt them to do.In fact, when I first proposed it, and this is a bit of, um, my brainchild initially, if I, I can boast, even Toby said like, “But wouldn't they, they just repeat what, what you tell them?” And, uh, but I'm like, “Yes, except Shopify has decades of history of how people made changes and what there is, uh, there, what it resulted in terms of sales.”So now what we can do is we can-- we have this... It's not, it's a noisy data. There's a small, usually websites, uh, you know, like things, things are never in isolation. It's almost never AB experiment. It's always AA experiment when there's has two meanings, but basically, you know, in different time you run two different things.But if you aggregate in general, uh, like everything together, and you apply, uh, denoising and collaborative filtering like approach, you can extract a very clear signal. And then you can optimize your agents. And that's why it took so long. It took almost a year of that optimization of just us sitting and fiddling, and, and we had this internal goals of correlation of hitting-- internal goal was to hit zero point seven correlation with, uh, add to cart events, for example.Like that, that if we run real AB test experiment, that it should, it should go and, and rep-uh, replicate, uh, same sort of success that, that humans had or lack thereof. And it, it took forever, and I don't think that's easily replicatable because, uh, like who else would have that data? You have to have this historic, you know, decades, uh, worth of data.And now, now the, like the other thing you need is in-infrastructure and the scale, right? Because, uh, w- again, what we found, uh, stat sig results, you need to run a lot of simulations, a lot of agents, and, and it's-- Those are expensive things. Like you're, you're making actions in the browser because you want a real friction.You want to, to be able to get the image like of what humans will see because you wanna, uh, detect effects like, “Hey, if I make my images larger, will I have more sales or l- uh, fewer sales?” And like usually people's intuition here, by the way, is that I increase my images, I will have more because they look nicer.You know, designers all look sparse and big images. Like usually your sales tank, right? But, but, uh, you know, from HTML, all the characters look the same only the, the size tag looks different, right? So it's very hard. So you have to take visual information, you have to run this in simulated browser environment on the big farm and, and of course, you have to have, uh, like very, very expensive model, good model with multi-model model.So all this it's-- is what's taken so long and, uh, to share my personal fail a little bit there, Sean, is like, you know, we always had this bias to-- for like large company bias. You know, we always, uh, whenever you-- we do, we're like, “Hey, we'll run an experiment,” right? We make, make a change, and we will run an experiment and then, uh, see, uh, see which one's better or like, “No, this is worse,” and most of them are worse, so you discard it and keep iterating, hill climbing.And we're like, “Oh, like smaller merchants, they cannot get stat sig results. They cannot really run experiments simply because, you know, in a week there would be not enough data for them.” So we thought from this perspective. What we didn't realize is that most people don't have A and B, they just have one thing, and they need suggestions of What A and B should be.So, uh, we first build this, hey, we run simulation on two separate teams and, and, uh, say, “Hey, which one is better?” We then morphed it into, and very recently just released it, when you have just your site, your theme, we run over it and we say, “Hey, here's what predicted values of, of, uh, uh, conversions are, and here's how we think you should modify it to increase your conversions.”And then circling back to what you started with, the proof is in the pudding. Like, if we are not correlating with reality, like, people will not be using it. And, uh, thankfully, we see literally every day more users than the previous day. So, so right now, uh, right now- It's working. Yeah. I'm-- Right now my problem is how to pay for it all because the so our major thing is how to optimize the LLMs, do distillation, how to run the headless browsers, uh, and handful browsers, uh, uh, cheaper so that we can accommodate the increase in traffic.[00:42:47] swyx: Yeah. I, I understand that you, uh, you published a lot of technical detail at GTC, so I was just gonna bring it up a little bit. I think s- was this in, in con-conjunction with some kind of GTC presentation? Or something like that, right?[00:42:59] Mikhail Parakhin: Well, we, yeah, we, we did it in several place, but yeah, we had the engineering- Yeahblog, uh, as well. Yeah.[00:43:05] swyx: Yeah. So you're running, uh, GPT OSS. Uh,[00:43:08] Mikhail Parakhin: the, this is an older version. You know, now we run multimodal model. But yeah- Yeah ... GPT OSS, we still run GPT OSS as well for[00:43:15] swyx: And then you have the VMs, and you also have browser-based. I really like this one where it you said, “It violates almost every assumption that standard LLM serving is designed for.”And then you had like, basically orders of magnitude differences between everything.[00:43:29] Mikhail Parakhin: Exactly. Which is, which, uh, which was, you know, a bit of a challenge to implement, like when, like even simple things. Uh, be- since it violates all the assumptions, for example, multi-instance GPUs, like MIGs don't work as well.But we needed, uh, to get MIG to work because, ‘cause otherwise it's way too expensive. And so we had to deal with the, yeah, with, uh, lots of infrastructure and, and, uh, work with, uh, uh, Fireworks and CentML, uh, you know, to help with optimizations and browser-based, as you mentioned. Yeah, like, takes a village.[00:44:04] swyx: Okay. So there's a lot of like, I guess, experimentation in the infrastructure so far, and you've published more or less what you have here. I guess I'm, I'm less familiar with CentML. I, I don't do, uh, that much work in this, this part of the stack. But why was it the sort of preferred instance platform?[00:44:22] Mikhail Parakhin: There are really three probably top companies. There used to be, uh, uh- Three top companies, uh, at least I was aware of that did, uh, LM optimization. You know, together Fireworks and Santa ML, not necessarily in that order. Santa ML recently got acquired by NVIDIA. Uh, what they did is if you have a model and you want to optimize it to a specific prof-- uh, profile of usage, uh, they would go and do it.And, uh, we work with, with those companies, uh, this was work particularly in with Santa ML and NVIDIA to get them the best possible results out of it. And, and sometimes you, you have to retune depending on, like sometimes you want the maximum throughput, sometimes you want minimal latency, sometimes you want like the cheapest, right?And, yeah, or some combination. And so yeah, these are people who would come and help you.[00:45:14] swyx: I see. I see. Yeah, yeah. I'm familiar with these people for the LLM, you know, autoregressive stack. But the other interesting category of these optimizers is also the diffusion people, whereas like Fel and, you know, uh, Pruna recently has come up a lot as well, which I think is like really underappreciated, uh, at least by myself, because I, I thought, oh, all the workload would be LLMs, but actually there's a lot of diffusion as well.[00:45:38] Mikhail Parakhin: Exactly.[00:45:38] swyx: There's a lot here, so I, I, I... it's, it's, uh, it's, it's, it's hard to cover. But I, I do think like people underappreciate the importance of customer simulation, basically. I think this is something that I'm candidly still getting to terms with. Uh, you know, uh, you also-- your team also like prepared this, like, really nice diagram.Uh, I, I assume this is AI generated.[00:46:00] Mikhail Parakhin: Yeah, it looks-[00:46:01] swyx: Maybe it's not.[00:46:01] Mikhail Parakhin: Yeah, it looks, uh, Gemini-ish. Yeah, but, uh, uh, honestly, I, I don't know where, where the hell they generated. It looks, look, uh, looks like it's, uh, Google. But the interesting part, John, that, that, uh, we haven't covered, but I, I wanted to mention is if your store had previous customers, rather than it's a new store, you're like new merchant just launching things, it helps tremendously in just correlation and forecast.Yeah, we take your previous, uh, customer's behavior, and we create agents that replicate those specific distribution of, of customers that you get, and then we a- we apply those to your changes, and then that, that raised raw, you know, the re-- uh, just correlation with the add to cart events or to-- with conversion or whatever it, it, it may be, uh, quite dramatically.So, uh, replicating humans in general seems like an interesting, cool challenge.[00:46:58] swyx: As a shareholder, I think this is the-- like if people are Shopify shareholders, they should really deeply understand this because this is basically the moat. The, the more you use Shopify, the more it will just automatically improve, right?Like you're, you're doing the job for them.[00:47:13] Mikhail Parakhin: Yeah, that's what we started with. Like, uh- ... uh, otherwise, if you're just a startup, I wouldn't do it if, uh, you know, if it was my startup because Without the data, it, yeah, as, as you said, it's, it's exactly the case that, uh, whatever you say in prompt, that's, that's what the agents will be doing.[00:47:30] swyx: The statistician in me wants to like really satisfy the sort of, um, statistical intuition, I guess. Um, to me it's kind of, uh, the, the word that comes to mind is, um, ergodicity. Uh, so let's say a, a customer takes this path, customer takes this path, customer takes this path, right? Um, the... In my mind, the way I explain it is like, okay, here, here's the ninety-five percentile, here's the five percentile, and here's the median, right?Um, but to me, what SimGym is potentially doing is that it can, uh, modify... It can sort of model the sort of in-between sort of journeys as well, that, that maybe are dependent on the previous states. This may be like a very RL-type conclusion where like basically the summary statistics, if you only did naive AB testing, you only have the, the statistics at, at, at a certain point, and you only judge based on the sort of overall summary statistics.But here you can actually model trajectories. Does that make sense? Or-[00:48:31] Mikhail Parakhin: That makes total sense because like, well, that, that makes even more sense that maybe even you realize bec- because-[00:48:38] swyx: Okay. Please,[00:48:38] Mikhail Parakhin: please. Yes ... we do-- Yeah. The, so internally, uh, we have this system, we talked about it briefly once at NeurIPS.We have a huge HSTU-based system that models the whole companies, uh, and their possible paths. And like- Yeah ... what you are, what you are showing, like actually at any point of time, you can either model the user's behavior or you mo- can also think about, uh, the whole merchant as a company, as the entity that acts in the world.You can model that as well. And then you can do, can do counterfactuals. In your graph, like in your blue graph, uh, if you're... Imagine in the center there, uh, somewhere in the middle, you would have an intervention. I give that person a coupon, or I don't know, I send a personal thank you card, or give a discount in some- somewhere.And then you can, uh, then you can do forward rollouts from that counterfactual. So what would have happened with that intervention or without the intervention? And you can even ch- change where that intervention, uh, in time can happen, right? Like some- where, where in this journey. So we, we do this at the Shopify scale for our merchants, and then if we notice that something that they can be fixing, like there's a strong counterfactual, like we have Shopify policy, they basically get a notification like, “Hey, we think your...something is wrong with your-” I don't know, Canadian sales. Like, uh, it looks like it's misconfigured. Here's what you need to do. Or do you think like, uh, you have to set up this campaign with these parameters? And we do that at the buyer level to literally offer discounts or cashback or, or things to buyers.So this is-- I'm getting very excited. Like this is my sort of area of, uh, interest, I guess, and, and hobby. But being able to m-model something complex as human beings or companies and model counterfactuals on it, where you can have interventions in the future and optimize when to make intervention, what kind inter-- uh, what kind of intervention to make.It's such an unlock that previously was completely impossible. Like the-- it was, it was always dreamed of, but never... Like how would you even simulate it without LLMs or HTUs? I think very, very exciting times.[00:50:59] swyx: I just wanted to, uh, to maybe illustrate this. I, I'm not the best illustrator, but I, I am a conceptual statistics guy.And y-you know, you cannot just do this. Like this is a dimensionality AB test doesn't do, right? Like, uh, because it doesn't have the, the, the change over time, uh, stochastic nature, uh, and it doesn't have the sort of contextual like... Here's all the context to this point. Um, okay, cool. Um, that's SimGym.You're, you're gonna burn a lot of tokens on this thing. But you're, you're one of the, the only scale platforms in the world that can, uh, that can do this across a huge variety of workloads, right? I'm even curious on a sort of human, uh, research level of like, well, do, does retail behave d-differently from like clothing sales?D-does that behave differently from electronic sales? I, I don't know. I don't know what else you guys... The Kardashian shoppers, do they differ from like people who buy, uh, I don't know, cars and, uh, whatever.[00:51:55] Mikhail Parakhin: Well, very different, and different sensitivities and different modes of, uh, shopping and, and different levels of what's important.Now, to-totally, you can do aggregations at, uh, at a store level. You can do aggregations at a different, uh, category level. I don't know if, uh, you know, for our statisticians among us, I couldn't believe, but we-- recently we're looking at it, and we had to bring back, uh, CRPs, you know, Chinese restaurant process.It's a, like, way of aggregating and, like, naturally grow clustering. So across... Specifically to answer questions that, uh, like you were just posing on how, how if, if buyers behave different categories. And I'm like, “I haven't seen CRP since two thousand and one.” It's[00:52:37] swyx: so What? It's so- What is... No, I haven't, I haven't seen this.No. This is not in my training. Uh,[00:52:44] Mikhail Parakhin: but, but yeah, it, uh, uh, it actually, like the, the-- there was a very popular kind of theory, popular neurips HTML circles in early two thousands, uh, kind of nice. And now, now it has practical applications, uh- Yeah ... that we were resurrecting.[00:53:03] swyx: Yeah, amazing. Uh, I, I can see, I can see how this is like a, uh, a fun job for you where you get to apply all these things.Um, yeah, yeah, so super cool. Super cool. So, okay, so, so anyone who, who knows what CRPs are and has always wanted to use them at work, uh, they should, they should definitely join Shopify. Okay, so w-we have a lot and but I, I'm, I'm being mindful of the time. I, I do wanted to, to sort of cover some other things.Um, I-I'll give you a choice, UCP or Liquid?[00:53:30] Mikhail Parakhin: Liquid. I think, I think on UCP, you know, like UCP is very important for us and, and it just we are-- UCP, we have a structured, uh, discussions, and you can read about them, and we have, uh, blog posts, and we have a big release this week, in fact, like with our catalog.Oh,[00:53:46] swyx: okay.[00:53:46] Mikhail Parakhin: Uh, yeah,[00:53:46] swyx: but- Le-I mean, we, we can, we can discuss the, the, the release briefly because we'll release this after the-- after it's already announced so whatever. There's a catalog that you guys are doing?[00:53:55] Mikhail Parakhin: Yeah. So we are, we are- Okay ... we are bringing in capabilities of a whole, uh, Shopify catalog.Basically, you now you can search for products, you can do lookups by specific ID, you can do bulk lookups when you need to bring m-multiple products. You don't need to know in ad-in advance what you're trying to show or to sell or check out. Like, you can now, you can now have this decided at, at runtime, and this big area for investment for us for both non-personalized and personalized searches, trying to provide basically a win-window into whole universe of products that are being sold everywhere in the world.And Shopify is really not exactly, but almost like a super set of any-anything being sold. Now we are bringing it into UCP and, uh, and, uh, identity linking is another big thing for us, uh, so that you, you can use, uh, like Google or whatever, whatever identity you have, uh, they're minimizing friction.[00:54:56] swyx: Yeah. So[00:54:57] Mikhail Parakhin: yeah, big release for us.But Liquid AI of course we never talk about, and the problem might be more, more aligned with what we d-discussed previously on this chat.[00:55:07] swyx: Sure. The main thing that everyone understands about Liquid is that it is inspired by Worm, and I still don't know why. I'm curious on your explanation. I think you, you, uh, you can make things very approachable.And also I think like what is the potential of like the, the level of efficiency that you get out of Liquid?[00:55:23] Mikhail Parakhin: You- we all familiar with transformer architectures. And, uh, for the longest time, there was a competing architecture, it's called the state space models. So, so Sams, uh, you know, Chris, Chris Reyes, one of the pioneers and, and lots of startups, uh, trying to make those realities.They have, uh, significant benefits being main being, uh, being much faster and, uh, lower footprint and not quadratic in length, you know, sort of, uh, linear in, in, uh, in your context length. But with state space models- They never quite made it. Like they're used-- They have, uh, certain niches when they thrive, their hybrid architectures are useful, but they never quite made it.And liquid neural networks are, you can think of them as a next step, like, uh, sort of, uh, state-space model square. It's non-transformer architecture that's more complicated than sta-state space and really difficult to code if you-- if I'm being honest. But it's, um, very efficient. It's, uh, subline-- sub, uh, quadratic in, in length of your context.Uh, it's very compact way to represent things, and that's a liquid AI company. They... Their goal is to productize it, and very often you have this need, uh, when you need to have long context and small model, and you want to have low latency. Like in general, it's basically on par with transformers, and if you do hybrids with transformers, it's, it's even better.That's why we at Shopify, when we tried multiple and we constantly try multiple models, multiple companies, we found that for small, particularly with low latency applications, when you have low latency and/or if you need longer context lengths, liquid was the best. And so we still use the whole zoo and always like obviously test and use everything, uh, every open source model and, you know, it feels l

Make it Louder! Episode 594 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm594 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM594 TRACKLIST: Ruslan Radriges - Intro 01. ERIICE - Loose Threads [Uncommon] 02. Chris Burke & KRAIZ - Need You Now [Gemstone] 03. Estiva & Ruben De Ronde pres. EBENEZER ft. Lovle - On My Skin [ASOT] 04. GRAY & Bengoxi - Chama [Makemba Music] 05. Pithman - Can't Stop [Gemstone] [PERFECT TUNE] 06. Eximinds - Tell Me Why [Interplay] 07. Van Snyder x Serena Bleu x Alexander Popov - You Get What You Give (DJs From Mars Remix) [Interplay] 08. U-Jeen & B SAN - Crash Landing [Interplay] [MOMENT OF THE PAST] 09. Paul Oakenfold & Cassandra Fox - Touch Me (Beat Service Remix) 10. Rinkarna x Max Denoise x Aneym - Dark Side of Me [Suanda] [SOME LATELY FAVORITE] 11. Kosheen & Kasia - Catch [Armada] 12. DJ Kuba x Neitan x DJ Terry - Greece 2000 [Future House Music] 13. Simon Patterson - In The Wire [Armada] 14. Jochen Miller x Ahmed Helmy & Doppenberg pres. HELBRG - Lost Connection [High Contrast] 15. Dirty Signal - Powerhouse [Revealed] 16. R3SPAWN x Josh Le Tissier x The Sax Brothers - Careless Whisper [Armada] 17. HIFEER - Lucid Desire [Revealed] 18. AVAO - Bounce To The Beat [Revealed] Ruslan Radriges - Outro

Make it Louder! Episode 593 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm593 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM593 TRACKLIST: Ruslan Radriges - Intro 01. Guri & Eider - Move On [Sub Urban Music] 02. Chester Young - Ophelia [Interplay] 03. Nunchux & AdamDarling - Lose Control [On The Way] 04. Dennis Sheperd & Ayandra - Begin Again (Jerome Isma-Ae Remix) [A Tribute To Life] [SOME LATELY FAVORITE] 05. NOME. ft. Alessia Labate - Other Side [STMPD] 06. BLR & Amber Revival - Cause You're Mine [Musical Freedom] 07. Bruno Martini & Thomas Gold - Electric [Future House Music] 08. Twin View & Tycoos - Still Hope [Interplay] [MOMENT OF THE PAST] 09. Ruslan Radriges vs. Armin van Buuren ft. Vanessa Campagna - I'm Not Vulnerable (RR Mashup) 10. Kosheen & Kasia - Catch [Armada] 11. Skytech & AMRV - Just About to Lose [Horizon State] [PERFECT TUNE] 12. Steffi de Cicco x Morris Corti x Devrick Ц Again (Fable) [Intercord] 13. Orange Purple - Falling [Forever Young Recordings] 14. Sander van Doorn - Inside This Room [Doorn] 15. F.G. Noise - Triple Vision [Revealed] 16. 2ACES - Break My Fall [Revealed] 17. Edmondsski - Unpurpose [Arryba] 18. Mark SIxma - Bring The Fire [Revealed] Ruslan Radriges - Outro

Это лекция №52 из курса Гражданского права (общей части). Тема лекции: Особые случаи и формы ответственности. Часть II Подкаст передачи доступен в: iTunes https://podcasts.apple.com/ru/podcast.... Yandex https://music.yandex.ru/album/1101034.... Персональный сайт: http://antonivanov.ru Блог: https://zakon.ru/ivanov.pravo VK: https://vk.com/ivanov.pravo Livejournal: https://ivanov-pravo.livejournal.com

Make it Louder! Episode 592 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm592 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM592 Ruslan Radriges - Intro 01. Hugo Cantarra x Eli & Fur - Fire To The Water [Cercle] 02. Josh Charm - Free [Makemba] 03. Firapon - Format Sedona [Freegrant Music] 04. Anyma & Joji - Beautiful [Interscope] 05. GIFTBACK x Seegy x RAWzombie - The Wall [Interplay] 06. Tommy Veanud - Ready Or Not [TV] 07. AXON - Old School [On The Way] [SOME LATELY FAVORITE] 08. KAAZE - Invincible [Revealed] 09. Ozee x Zack Torrez x Cyberzk ft. Ryan Crosby - Your Love [Revealed] [PERFECT TUNE] 10. NOME. ft. Alessia Labate - Other Side [STMPD] [MOMENT OF THE PAST] 11. Ruslan Radriges - Cosmos 12. Roman Messer & Cari - Serenity (Alexander Komarov Remix) [Suanda] 13. Alex Mueller x Retrika x Nyrok - LS [Crash & Smile] 14. Repiet & FELYN - It Hits Me Now [Future House Music] 15. Joey Dale - Hollow [Revealed] 16. Blasterjaxx & Kate Ryan - De?senchante?e 3000 [Maxximize] 17. Rave Republic x Fragma - Toca's Miracle [Rave Culture] 18. D'Angello & Francis - Greece 2000 [Ravehouse] Ruslan Radriges - Outro

Make it Louder! Episode 591 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm591 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM591 TRACKLIST: Ruslan Radriges - Intro 01. Delon - The Spell [Way Of House] 02. Prinsblunder - See Through You [Forever Young] 03. Woody van Eyden & Quantor - Beautiful People [Interplay] 04. Terry Golden - Never Alone [Greenroom] 05. Green Velvet & Harvard Bass - Lazer Beams (Adam Beyer & Massano Remix) [Drumcode] 06. Dansyn & Tom Westy - Feel Your Soul [Aetherna] 07. FEEL - He's a Pirate [Suanda] 08. Don Diablo x Wiz Khalifa x Christian Gate - Go Home With A Stranger [Hexagon] [PERFECT TUNE] 09. KAAZE - Invincible [Revealed] 10. Lee Rose & Jochen Simms - Let's Talk [Acid Dolphin] [MOMENT OF THE PAST] 11. John Newman - Love Me Again (Wh0 Remix) [D.A.P. Limited] 12. AJSE - Shake The Floor [On The Way] 13. Efim Kerbut - Make Me Move [Lizard] 14. Jacob Ireng - First Lights Of The Day (Goblin Hulms Remix) [Otherworld] [SOME LATELY FAVORITE] 15. Somnia - Shadows [Suanda] 16. Sir Ivan - Love Is The Piece (Alex M.O.R.P.H. Remix) [Peaceman] 17. Gorilla Zippo x Van Snyder x Alexander Popov - Detki Tancuyut [Interplay] 18. SAMDMA & Ghoul - Geiger [Kurai] Ruslan Radriges - Outro

Это лекция №51 из курса Гражданского права (общей части). Тема лекции: Особые случаи и формы ответственности. Часть I Подкаст передачи доступен в: iTunes https://podcasts.apple.com/ru/podcast.... Yandex https://music.yandex.ru/album/1101034.... Персональный сайт: http://antonivanov.ru Блог: https://zakon.ru/ivanov.pravo VK: https://vk.com/ivanov.pravo Livejournal: https://ivanov-pravo.livejournal.com

"Companies designing for agents, not humans, are going to get a lot of lift."ClickHouse started as an internal tool at Yandex. Today it's the database Anthropic, OpenAI, Meta and Tesla all run on.In this episode, CEO Aaron Katz joins Lukas Biewald to talk about how he turned an open source project into a $15B company, why he acquired LangFuse knowing it could cost him customers, and what he's actually building for the agent era.Snowflake, Datadog and Databricks all come up. He doesn't shy away.Connect with us here:Aaron Katz: https://www.linkedin.com/in/aaron-katz-5762094ClickHouse: https://www.linkedin.com/company/clickhouseinc/Lukas Biewald: https://www.linkedin.com/in/lbiewald/Weights and Biases: https://www.linkedin.com/company/wandb/00:00 Trailer00:57 The Origin Story: From Yandex to ClickHouse Inc.04:43 Building ClickHouse Cloud & Raising $300M10:36 Growing Up Around Xerox PARC12:51 Salesforce, Mark Benioff & the Dot-Com Bust15:32 Cloud Skeptics vs. AI Skeptics | History Repeating18:05 Building a Modern Go-To-Market Playbook21:57 The SaaS Crash, Agents & the Future of Infrastructure27:09 The Datadog Love-Hate Story35:21 Hardest Moments: Russia, SVB & Sleepless Nights43:16 Outro

Make it Louder! Episode 590 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "LET ME GO" with Redspace ► interplay.ffm.to/itp481 ♪ Discover this episode ► band.link/msm590 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM590 TRACKLIST: Ruslan Radriges - Intro [MOMENT OF THE PAST] 01. MKHLSDRV - На Заре Ты Её Не Буди 02. Danny Chen - Echoes [Big Toys] 03. Mars Shadow & Lessika - Cosmic Override [Space 4] 04. Costa & Theia - You Don't Have To Be Alone [RNM] 05. HYPNOZA & Jordan Grace - Reality [Interplay Flow] 06. Eugenio Tokarev - Sun & Moon [Nomads] [SOME LATELY FAVORITE] 07. Ruslan Radriges & Redspace - Let Me Go [Interplay] [PERFECT TUNE] 08. U-Jeen & Max Markov - Sex On Fire [Interplay] 09. DJ Nejtrino & DJ Baur - Forever [Interplay] 10. Gold Lemonade - Brocoli [On The Way] 11. Van Snyder x Serena Bleu x Alexander Popov - You Get What You Give [Interplay] 12. Stoneface & Terminal & Neev Kennedy - The Light of Day [Amsterdam] 13. D-Engine - Infinite Rise [2Rock] 14. Somnia - Shadows [Suanda] 15. RYDEX x Alex BELIEVE x Spectorsonic - Lost in the Silence [2Rock] 16. Josh Le Tissier x AVY x Kohey - Techno In My Soul [Nexchapter] 17. NyTiGen x Victor Tayne x Alexander Turok - Horizon [2Rock] 18. W&W x Scooter - Rave From Outer Space [Rave Culture] Ruslan Radriges - Outro

Make it Louder! Episode 589 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "CAN'T STOP NOW" with Alexander Popov ► interplay.band.link/itp477 ♪ Discover this episode ► band.link/msm589 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM589 TRACKLIST: Ruslan Radriges - Intro 01. UNMD - Someone To Understand [Interplay] 02. El Khatib - No Rush [Makemba Music] 03. Roger Shah & AIA - In A Rush [Magic Island] 04. Cubicore - Zori [Catalystic] [SOME LATELY FAVORITE] 05. Akille - Destined By Gravity [Audio Imprint] 06. Anton By & Rob Le Duc - Falling Shadows [Interplay] 07. Dannic - Wake Me Up [Revealed] 08. ARTBAT x Giuseppe Ottaviani x Conor Ross - Break The Loop [Upperground] 09. Eli & Fur - One That You Love [Pias] [MOMENT OF THE PAST] 10. ATB & Markus Schulz - Heartbeat [PERFECT TUNE] 11. Ruslan Radriges & Redspace - Let Me Go [Interplay] 12. MOGUAI & Cassmae - Mother (Max Niklas & HelSlowed Remix) [SNSD] 13. Alexander Popov & Ruslan Radriges - Can't Stop Now [Interplay] 14. Roman Messer & Philippe El Sisi - The Castle [Suanda] 15. Tycoos x AYDA x Rebekah Rae - Falling Free [2Rock] 16. ZYNOX - Shake The Ground [Revealed] 17. Hardwell ft. Amba Shepherd - United We Are (Mark Sixma Rework) [Revealed] 18. B Jones - Stronger [Arryba] Ruslan Radriges - Outro

Это лекция №50 из курса Гражданского права (общей части). Тема лекции: Ответственность за нарушение обязательств. Часть 3. Подкаст передачи доступен в: iTunes https://podcasts.apple.com/ru/podcast/antonivanov-ru/.. Yandex https://music.yandex.ru/album/11010340?dir=desc&a.. Персональный сайт: http://antonivanov.ru Блог: https://zakon.ru/ivanov.pravo VK: https://vk.com/ivanov.pravo Livejournal: https://ivanov-pravo.livejournal.com

Na de mega-ontslagen bij Amazon en Block snijdt ook Meta in eigen vlees. Twintig procent van het personeelsbestand, afgerond 16.000 mensen worden binnenkort op straat gezet, schrijft Reuters. Meta gaat dit jaar 165 miljard dollar aan kosten maken en met maar liefst 135 daarvan wordt vooral rekenkracht voor AI aangeschaft. Dat geld moet ergens vandaan komen, dus vliegen er mensen de laan uit. Of ze die mensen wel kunnen missen, bespreken we deze aflevering. Hoor je ook waarom Unicredit een overnamebod doet op Commerzbank. Ze bieden slechts 4 procent premie op de slotkoers van vrijdag - die koers is vandaag alweer ingelopen - en het bod is volledig in aandelen. Hoe graag willen ze het dan écht? Dat zoeken we voor je uit. Hoor je ook nog: Hoe een bedrijf met een Nederlands tintje profiteert van Meta's miljardeninvesteringen Waarom niemand zal klagen over de laatste bonus van de topvrouw van Wolters Kluwer Hoe slecht het gaat met kunstmestproducent OCI en waarom dat volgens onze gast allemaal schijn is Welk bedrijf Apple overneemt Te gast: Arend-Jan Kamp van Stockwatch.nl BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Cap, Quinn, and Insania break down the Dota match fixing scandal that allegedly ends with someone getting punched in an internet café, and then dig into PGL Wallachia.A Dota player from team Winter Bear claims he was physically assaulted mid-match at a LAN center and forced to throw game two, with notorious figure Sensibility allegedly logging into his account to finish the game. Cap, Quinn, and Insania pick apart Ivan's story — what holds up, what doesn't, and whether the "betting mafia" behind lower-tier Dota is something grimmer than just Sensibility and his crew. From there, the trio turns to PGL Wallachia: Team Liquid topping their group, why Falcons look like a TI-winning team on a familiar downward trajectory, the MOUZ and Yandex reality check, PARIVISION's Satanic carrying on his back, and why Heroic's TaiLung might be the best mid player to enter the scene recently

Это лекция №49 из курса Гражданского права (общей части). Тема лекции: Ответственность за нарушение обязательств. Часть II. Подкаст передачи доступен в: iTunes https://podcasts.apple.com/ru/podcast/antonivanov-ru/.. Yandex https://music.yandex.ru/album/11010340?dir=desc&a.. Персональный сайт: http://antonivanov.ru Блог: https://zakon.ru/ivanov.pravo VK: https://vk.com/ivanov.pravo Livejournal: https://ivanov-pravo.livejournal.com

Make it Louder! Episode 588 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "CAN'T STOP NOW" with Alexander Popov ► interplay.band.link/itp477 ♪ Discover this episode ► band.link/msm588 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM588 TRACKLIST: Ruslan Radriges - Intro 01. Alexander Popov & Terry Golden - Could Be Loved [Interplay] [PERFECT TUNE] 02. Alexander Komarov & JO - Lost in Space [Interplay] 03. Beatsole - Into The Light [Nomads] 04. Colin Crooks - Forever Alive [Gemstone] 05. Akille - Destined By Gravity [Audio Imprint] 06. Ummet Ozcan - Iunu [OZ] [SOME LATELY FAVORITE] 07. Alexander Popov & Ruslan Radriges - Can't Stop Now [Interplay] 08. Skytech & ANG - Shadows In The Night [STMPD] 09. NOME. - The Sign [Encoded] 10. Azooland & Suburbia - Work It [On The Way] 11. Lee Rose - Insane in The Brain [Acid Dolphin] 12. Innellea - Slave To The Hype [Belonging] 13. Regulus - Phantom Flame [Space 4] [MOMENT OF THE PAST] 14. Ferry Corsten - Beautiful 15. Heatbeat - The Call [Hypersia] 16. MatricK x Noah Seven x Slayy x Relevus - Turn Me On [Kurai] 17. 2ACES - Red Lights [Revealed] 18. O.B.M. Notion - Zero Words But Thousands Melodies (Rubea Stella Remix) [Undervise] Ruslan Radriges - Outro

Make it Louder! Episode 587 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "CAN'T STOP NOW" with Alexander Popov ► interplay.band.link/itp477 ♪ Discover this episode ► band.link/msm587 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM587 TRACKLIST: Ruslan Radriges - Intro 01. Dash Berlin - In The End (Photographer Remix) 02. Cutting Crew - (I Just) Died in Your Arms (Sentient Life Remix) 03. Blasterjaxx - He's A Pirate 04. Mia Mendi & Blake Light - Lose Yourself 05. Armin van Buuren & Alexander Popov vs. Promise Land - Popcorn vs. X-Press (Ruslan Radriges Mashup) 06. Ruslan Radriges & WhiteLight - Move 07. Last Soldier x Farnoodex & Cris Von X - To The Other Side 08. Cuebrick & Niels Van Gogh - Hold Me Tonight 09. Kyros - The Bass 10. Somnia x Ruslan Radriges - High In Your Low 11. Josh Le Tissier - Shut It Down 12. Klaas - Adagio For Strings 13. Timmy Trumpet & POLTERGST ft. Naeleck - Like a G6 14. Steve Aoki x Dimitri Vegas & Like Mike x Timbaland x W&W - Cry Me A River 15. Roman Messer - Fable 16. Scooter & Harris & Ford - Techno Is Back (Blasterjaxx Remix) 17. Aimoon - Cosmic Rhythm Ruslan Radriges - Outro

Make it Louder! Episode 586 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "CAN'T STOP NOW" with Alexander Popov ► interplay.band.link/itp477 ♪ Discover this episode ► band.link/msm586 Also new music by Ruslan Radriges in playlist. Subscribe ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM586 TRACKLIST: Ruslan Radriges - Intro 01. Jaron - Lost Inside Your Soul [Forever Young] 02. Summer Wynn - Deeper Closer [A Tribute To Life] 03. Korolova & Be No Rain - Distorted Love [Captive Soul] 04. KASIA x Eli & Dani x Stylo - All I See Is Us [Interstellar] 05. U-Jeen & Hannes - Insomnia [Interplay] 06. LAWEN - Caving In [Forever Young] [MOMENT OF THE PAST] 07. Matisse & Sadko x Raiden - Light Me Up 08. MORTEN - Rotation [Future Rave] 09. Losless - The Loop [Meiosis] [PERFECT TUNE] 10. Alexander Popov & Ruslan Radriges - Can't Stop Now [Interplay] 11. BLR x Amber Revival - Untouchable [Armind] 12. Cutting Crew - Died in Your Arms (Sentient Life Remix) [White Label] 13. Mia Mendi & Blake Light - Lose Yourself [ASOT] 14. Eximinds & Alper Cetin - When the Waves Return [Interplay] 15. Roman Messer - #LeftRight [Suanda] [SOME LATELY FAVORITE] 16. Airborn - AirBURN (Somnia Remix) [Suanda] 17. Push & Maite Dedecker - Echoes of Elysium [Kurai] 18. Aimoon - Cosmic Rhythm [Perfect Euphoria] Ruslan Radriges - Outro

Это лекция №48 из курса Гражданского права (общей части). Тема лекции: Ответственность за нарушение обязательств. Часть I. Подкаст передачи доступен в: iTunes https://podcasts.apple.com/ru/podcast/antonivanov-ru/.. Yandex https://music.yandex.ru/album/11010340?dir=desc&a.. Персональный сайт: http://antonivanov.ru Блог: https://zakon.ru/ivanov.pravo VK: https://vk.com/ivanov.pravo Livejournal: https://ivanov-pravo.livejournal.com

Send a textMiguel Armaza sits down with Michael Calvey, one of the most successful and legendary emerging markets investors of our time. Mike moved to Moscow at age 27 in the early 90s and built Baring Vostok into a powerhouse with $10+ billion invested in Russia. They backed now-decacorns like Yandex, Revolut, Tinkoff, and Kaspi at their earliest stages. Yandex alone was a 450x return for the fund.Along the way, he survived a 98% market crash, was detained by Russia's secret service, and made billions of dollars for his investors.He's also incredibly thoughtful about the ingredients of great founders, what separates the ones who win from those just chasing money, how the best companies constantly stack new S curves, and why being a hands-on owner but never a hands-on manager is the key to a great investor-founder partnership.Timestamped Overview00:00 From Oklahoma to Russia - Intro & Michael's Background10:32 Building an Elite Emerging Markets Team14:36 Geopolitics, Economics, and Market Resilience20:25 Fewer Investments, Better Focus24:08 Successful Entrepreneurs Value Purpose28:47 Management KPIs and Key Insights33:45 3 Cs of Ownership Focus42:53 Marketplace vs. Fintech Growth Dynamics44:02 Marketplace Dominance and Financial Complexity52:25 Emerging Markets: Talent vs. Geopolitics54:51 Emerging Markets and Fintech Ventures01:00:20 Medici Family: Banking and Intrigue01:05:59 Starting Over as Entrepreneur Want more podcast episodes? Join me and follow Fintech Leaders today on Apple, Spotify, or your favorite podcast app for weekly conversations with today's global leaders that will dominate the 21st century in fintech, business, and beyond.Do you prefer a written summary? Check out the Fintech Leaders newsletter and join ~85,000+ readers and listeners worldwide!Miguel Armaza is Co-Founder and General Partner of Gilgamesh Ventures, a seed-stage investment fund focused on fintech in the Americas. He also hosts and writes the Fintech Leaders podcast and newsletter.Miguel on LinkedIn: https://bit.ly/3nKha4ZMiguel on Twitter: https://bit.ly/2Jb5oBcFintech Leaders Newsletter: https://bit.ly/3jWIpqp

Make it Louder! Episode 585 of Make Some Music radio show with your host - Ruslan Radriges ♪ New EP "FIVE" with HUVAGEN ► 2rock.ffm.to/0311 ♪ Discover this episode: ► band.link/msm585 Also new music by Ruslan Radriges in playlist. Subscribe: ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM585 TRACKLIST: Ruslan Radriges - Intro 01. Vigel х Loreno Mayer х Bmark – Shining Light [Smash Deep] 02. IKLR - Ephemeral [Essentializm Dark] 03. Eugenio Tokarev - Leave This All Behind [Nomads] 04. Anton By & DaWTone - Future Techno [Interplay] 05. Chuckie & Hardwell ft. MC Ambush - Move It 2 The Drum (Mr. Sid & March Forward Remix) [MOMENT OF THE PAST] 06. Artbat x Benny Benassi - Love Is Gonna Save Us 07. DIM3NSION & Josie Sandfeld - Every Step [Bemind] 08. Airbase - Everything Else Could Wait [Black Hole] 09. John Newman - Love Me Again (Dubvision & Third Party Remix) [Numana Music] 10. Jay Robinson & Rhiannon Roze - Body [Night Bass] 11. Victor Ruiz & HNGT - A New Day [1001 Recordings] [SOME LATELY FAVORITE] 12. Adrena Line - Echoes in the Dark [Interplay Flow] [PERFECT TUNE] 13. Alesso & Pendulum - FADE [Capitol] 14. Airborn - AirBURN (Somnia Remix) [Suanda] 15. Marcel Woods - A Decade (Adrena Line & Torok Remix) [High Contrast] 16. Skytech - Sandstorm (Hypertrance Mix) [Actuation] 17. MATTN x UUFO x Shogun - Late Night [Smash The House] Ruslan Radriges - Outro

Make it Louder! Episode 584 of Make Some Music radio show with your host - Ruslan Radriges ♪ New EP "FIVE" with HUVAGEN ► 2rock.ffm.to/0311 ♪ Discover this episode: ► band.link/msm584 Also new music by Ruslan Radriges in playlist. Subscribe: ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM584 TRACKLIST: Ruslan Radriges - Intro 01. ThereWereTwo x Elyonn x Bohm ft. Feles x Gabriel Paris - Underneath It All [Armada Music] 02. Mosii - Fall In Love [Makemba Music] 03. Beneau - Easy To Love [Forever Young] 04. Akille & Juna Rose - Lose [Audio Imprint] 05. Cosmic Gate & Christian Burns - Brave (Mozes Remix) [Black Hole] 06. AV x GRUE x Moonlight Tunes - Around the Globe [Space 4] 07. Collin Sterling ft. Evelyn - Away From You [Forever Young] [SOME LATELY FAVORITE] 08. Sam Harris - Things We Do [Future House Music] 09. Inners - Materia [2Rock] 10. Burak Yeter & Luca Testa - Otherside [Revealed] 11. Brooks x Justin Mylo x Philip Strand - Distant Love [Actuation] 12. Vion Konger x Skytech - Zoom [Smash The House] [PERFECT TUNE] 13. Adrena Line - Echoes In The Dark [Interplay Flow] [MOMENT OF THE PAST] 14. Ruslan Radriges & Tycoos - Red 15. Andrew Rayel & EXTASIA - Human Technology [InHarmony] 16. Aiwen & Mark Stinson - Meet You On The Dancefloor [2Rock Techno] 17. Alexander Popov & Alexander Komarov - Chambala [Interplay] Ruslan Radriges - Outro

Make it Louder! Episode 583 of Make Some Music radio show with your host - Ruslan Radriges & Anton By ♪ New EP "FIVE" with HUVAGEN ► 2rock.ffm.to/0311 ♪ Discover this episode: ► band.link/msm583 Also new music by Ruslan Radriges in playlist. Subscribe: ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM583 TRACKLIST: Ruslan Radriges - Intro 01. U-Jeen & Leyber - Wait for Me [Interplay] [MOMENT OF THE PAST] 02. Ruslan Radriges x Alexander Spark x Aniolku - Dreaming Of You [PERFECT TUNE] 03. Sam Harris - Things We Do [Future House Music] 04. Blackcode & Gaz Meeko - Turn Up The Volume [Revealed] [SOME LATELY FAVORITE] 05. Papulin & Tony Love - Young and Beautiful [Interplay Unity] 06. Anton By & AV - Missing 2026 [Interplay] 07. Anton By & AV - Break The Alarm [Future Rave Music] 08. Anton By & DaWTone - Future Techno [Interplay] 09. Feel & Anton By & AV - Caprice [Suanda] 10. Anton By - Kalyhanka [Interplay] 11. Anton By - ID 12. Anton By - Running [Interplay] 13. Feel & Anton By & AV - I Love You (Dance Mix) [Suanda] 14. AMINTO & Anton By & AV - Something To Say [AMINTO] 15. Ruslan Radriges & Anton By & AV & Yevtya - Revival [2Rock] 16. Anton By & AV & Noah Seven vs Armin Van Buuren - ID vs Souns Of Goodbye (Mashup) 17. Somnia & Sullivan De Morro - Let's Get Wild [Revealed] Ruslan Radriges - Outro

Make it Louder! Episode 582 of Make Some Music radio show with your host - Ruslan Radriges ♪ New EP "FIVE" with HUVAGEN ► 2rock.ffm.to/0311 ♪ Discover this episode: ► band.link/msm582 Also new music by Ruslan Radriges in playlist. Subscribe: ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM582 TRACKLIST: Ruslan Radriges - Intro 01. Asida Aya - Singularity [NEO] 02. UNMD - Drop Love [Interplay] 03. Monolegato - Heartbeat [Interplay Unity] 04. Audien - In Every Life [Enhanced] 05. Aldor & Nour - Carry On [Deeper Harmonies] 06. Sunlounger ft. Zara Taylor - Lost (Mr. Sid & March Forward Remix) [PERFECT TUNE] 07. Papulin & Tony Love - Young and Beautiful [Interplay Unity] 08. Ruben de Ronde & Amber Revival - River In Me [Statement!] 09. James Carter - Borderline [Smash The House] 10. Azooland & mimiiQ - Wanna Have Some Fun? [On The Way] 11. Jay Hardway - The Pain [Hardway Music] 12. Anton By - Running [Interplay] 13. Josh Le Tissier - Poison [MOMENT OF THE PAST] 14. 4 Strings & Sarah Lynn - You Move Me [SOME LATELY FAVORITE] 15. Ruslan Radriges & Alexander Turok - Play It Loud (NyTiGen Remix) [2Rock] 16. Milio Ruando - Give Me My Acid [Kurai] 17. Nifra - Awaken Your Soul [Extatic] 18. Roman Messer - Fable [Suanda] Ruslan Radriges - Outro

Make it Louder! Episode 581 of Make Some Music radio show with your host - Ruslan Radriges ♪ New EP "FIVE" with HUVAGEN ► 2rock.ffm.to/0311 ♪ Discover this episode: ► band.link/msm581 Also new music by Ruslan Radriges in playlist. Subscribe: ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM581 TRACKLIST: Ruslan Radriges - Intro 01. Sebastian Park - Music Comes Alive [Makemba Music] 02. FEEL - Night Moves [Suanda Future] 03. Alyohin & Tino Guus - Freak [Metrika Music] 04. Alexander Popov & Kadett - Feel Alive [Interplay] 05. Magnettor - Spellbound [Nomads] 06. Eximinds & HKL & Wavetraxx - The Light [Hypersia] 07. Roman Messer & Vadim Spark - Я Встретил Вас [Suanda] 08. Angelo Maria Calderano - Viral [Trigate] 09. Kaskade & CID ft. Anabel Englund - Vision Blurred [Experts Only] 10. Lee Rose - Don't Go [DeeVu] [SOME LATELY FAVORITE] 11. Ponymeadow x Kawsan x Aldor ft. Imallryt - Where Do I Go (Dennis Sheperd & Freak E Beatz Remix) [A Tribute To Life] [MOMENT OF THE PAST] 12. Ruslan Radriges & Julia Violin - Phoenix 13. Daijo - Broken Dreams [Revealed] 14. NOME. - Here With Me [Encoded] 15. Makj - Up [Revealed] 16. Rydex - Once Again [Interplay Global] 17. Ruslan Radriges & Alexander Turok - Play It Loud (NyTiGen Remix) [2Rock] [PERFECT TUNE] 18. B Jones - Glow Up [Black Hole] Ruslan Radriges - Outro

Make it Louder! Episode 580 of Make Some Music radio show with your host - Ruslan Radriges ♪ New EP "FIVE" with HUVAGEN ► 2rock.ffm.to/0311 ♪ Discover this episode: ► band.link/msm580 Also new music by Ruslan Radriges in playlist. Subscribe: ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM580 TRACKLIST: Ruslan Radriges - Intro 01. DMPV - Inner Mechanics [Space 4] 02. Anton By & AV - Missing 2026 [Interplay] 03. Tommy Veanud - The Power [TV] 04. Kvsh & Disorder - The Truth [On The Way] 05. Evoxel x Amiel Adany - Down To The Beat [On The Way] 06. U-Jeen & Harry Kraulis - Wheel of Life [Interplay] 07. Jarr Head & Pittarius Code - You [Ablazing Deep] 08. Eugenio Tokarev - Please Stay [Nomads] 09. Ponymeadow x Kawsan x Aldor ft. Imallryt - Where Do I Go (Dennis Sheperd & Freak E Beatz Remix) [A Tribute To Life] 10. ABDetiK - I Don't Need Your Love [Trigate] 11. Nat Dankir - Walk Away 12. Matisse & Sadko x Vion Konger ft. Scrufizzer - Pull Up [STMPD] 13. Tujamo x Chester Young - Borderline [City Stars] 14. Efim Kerbut - Player [Hexhibition] 15. IKLR - Take Me [Essentializm] 16. Tycoos x AYDA x Saphron - Run the River [2Rock] 17. Steeper x Kohey x TRID3NT - Thunderstorm [Interplay Unity] 18. Driftmoon - Influencer [Hypersia] Ruslan Radriges - Outro

Make it Louder! This is a Moment Of The Past Best tracks of 2024 the year by version of Make Some Music ♪ New EP "FIVE" with HUVAGEN ► 2rock.ffm.to/0311 ♪ Discover YEAR MIX 2025: ► band.link/msm578 Also new music by Ruslan Radriges in playlist. Subscribe: ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-…adriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > podcasts.apple.com/us/podcast/rusl…es/id1480936940 #RuslanRadriges #MSM579 #YearMix TRACKLIST: Ruslan Radriges - Intro 01. Cosmic Gate & Nathan Nicholson - Just the Beginning [Wake Your Mind] 02. Gareth Emery ft. Sarah De Warren - Vertigo [Garuda] 03. Whiteout & Norni & Malene - Cry [Black Hole] 04. Huvagen - Only Now [Deeper Harmonies] 05. LURUM - Voyager [Armind] 06. Seegy - Ocean [Interplay Flow] 07. Super8 & Tab and Crowd+Ctrl ft. Jess Ball - Incomplete [Armind] 08. MEDUZA x Eli & Fur - Pegasus [Anjunabeats] 09. Seegy & Kaimei - Dejavu [Interplay Flow] 10. Divaro - Closer [Chill Planet] 11. KREAM - Sweat [Spinnin Deep] 12. KREAM & Coco Star - I Need A Miracle [Musical Freedom] 13. ReDub - Motion [Coldharbour] 14. Susana & Costa - Shoulders of Giants [RNM] 15. Costa & Emilya Buchan - My Favourite Regret [RNM] 16. Alexander Popov & Kitone - Fantasy [Interplay] 17. Alexander Popov x Ruslan Radriges x Annie Sollange - The Light [Interplay] 18. Alexander Turok - Black & White [2Rock] 19. Alexander Turok - Recovering [2Rock B Side] 20. Alexander Turok & Sharon Valerona - Play It All Night Long [2Rock B Side] 21. Armin van Buuren ft. Anne Gudrun - Love Is A Drug [Armind] 22. Armin van Buuren ft. Vanessa Campagna - Vulnerable [Armind] 23. Avenue One & Jaren - Sweet Dreams [Coldharbour] 24. PUNX - Concentrate [Itsthepunx] 25. Ruslan Radriges - Hope [2Rock] 26. Ruslan Radriges - Keep On Dance [Interplay] 27. Delerium ft. Sarah McLachlan - Silence (Andrew Rayel & Achilles Remix) [Find Your Harmony] 28. Ruslan Radriges - I'm Not Scared [Interplay] 29. Ruslan Radriges & Alexander Turok - Play It Loud [2Rock B Side] 30. Ruslan Radriges - Sinner Game [Interplay] 31. Alexander Turok & Ruslan Radriges - Blow It Up [2Rock] 32. Heatbeat & Ruslan Radriges - Imagination [Interplay] 33. Alexander Popov & Heatbeat - VIVALDI [Interplay] 34. Ruslan Radriges & T'eira - Keep Breathing [2Rock B Side] 35. Spectorsonic & Alex BELIEVE - Starship [Interplay Global] 36. Alexander Popov - Reflected [Interplay] 37. Paul Oakenfold x Nat Monday x Christina Novelli - Say You're Mine [Perfecto] 38. WhiteLight - Acid Rain [Interplay] 39. Hardwell & Maddix ft. Luciana - ACID 40. Showtek & Bassjackers - Friends [Spinnin] 41. Alexander Popov x Paul Oakenfold x Alex M.O.R.P.H. - Angel (Alex M.O.R.P.H. Remix) [Interplay] 42. Ruslan Radriges & Tycoos - Full Of Stars [2Rock] 43. WhiteLight - Mindfulness [2Rock B Side] 44. AndyG - Rhythm of the Universe [Revealed] 45. Emma Hewitt & Roman Messer - FALLEN [Black Hole] 46. Eximinds & Lyd14 - On Our Side [Interplay] 47. Roman Messer - Need To Feel Loved [Suanda] 48. Roman Messer & Alex M.O.R.P.H. - CYBERIA [Suanda] 49. Stoneface & Terminal & Neev Kennedy - Lost (Ciaran McAuley Remix) [Amsterdam] 50. Tycoos & Josie Sandfeld - Under My Skin [Abora] 51. X.Guardians - Like To Get Burned [Interplay Global] 52. Катя Чехова - Крылья (AV & Anton By Remix) [Plastinka] 53. FEEL & Papulin & Ren Faye - The Way Of Magic (Alex M.O.R.P.H. Remix) [Suanda] 54. Maddix ft. PENELOPE - Raw Diamonds [Revealed] Ruslan Radriges - Outro

Make it Louder! This is a Year Mix of 2025 Best tracks of the year by version of Make Some Music radio show with your host - Ruslan Radriges ♪ New EP "FIVE" with HUVAGEN ► 2rock.ffm.to/0311 ♪ Discover this episode: ► band.link/msm578 Also new music by Ruslan Radriges in playlist. Subscribe: ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM578 #YearMix TRACKLIST: Ruslan Radriges - Intro 01. Bulin & Honeyjohny - Hollow (Ruslan Radriges Remix) [2Rock] 02. Sevek - Mahaba [Future House Music] 03. Benassi Bros & Dhany - Hit My Heart (TR3NACRIA Remix) [Dvision] 04. Anton Pallmer & Synaptic Space - If I Wanted To [2Rock Techno] 05. Ruslan Radriges & Annie Sollange - Desert Heart [Interplay] 06. Timmy Trumpet x Zen it x ANYLIA - Afterglow [Monstercat] 07. Ruslan Radriges & T'eira - Can I Trust You [2Rock] 08. Swedish House Mafia - Wait So Long (REMIND Remix) [Aeterna] 09. Wildcrow - Favorito [Future House Music] 10. Ruslan Radriges & Huvagen - I Want To Hold You Tonight [Interplay] 11. Ruslan Radriges x Alexander Spark x Aniolku - Dreaming Of You [Interplay] 12. Skytech - The Rhythm [STMPD] 13. Ruslan Radriges & Huvagen - Future [Interplay] 14. Ayda - Supernova [2Rock] 15. Ruslan Radriges & Huvagen - Dance With Me [2Rock] 16. Alexander Spark & Alexander Turok - No Fear [Interplay] 17. OIDI - Burn For You [2Rock Techno] 18. R3HAB & Skytech - Hypnotising [STMPD] 19. KDH x Alan Shirahama x Sungyoo - Insane [On The Way] 20. Pascal Letoublon - Sacrifice [Future House Music] 21. Don Diablo - The Way I Are [Hexagon] 22. U-Jeen & Anton By & Inna JAYA - Better Off Alone [Interplay] 23. DubVision & Afrojack - Underwater (Festival Edit) [STMPD] 24. Ruslan Radriges & Huvagen - Alone [2Rock] 25. Artbat x Benny Benassi - Love Is Gonna Save Us [Dvision] 26. Roman Messer x Alexander Popov x FEEL - Moonlight Sonata (FEEL Remix) [Suanda] 27. Low Foam - Adagio For Strings [Multiverse] 28. Above & Beyond & Richard Bedford - Start A Fire [Anjunabeats] 29. SASH & LostVolts ft. Dare County - Thunderbolt [FeelQ] 30. Alexander Popov & Whiteout feat. VAILERI - Need To Feel Loved (Ruslan Radriges Remix) [Interplay] 31. Freak E Beatz & Katty Heath - Close To You [A Tribute To Life] 32. Ruslan Radriges & Huvagen - Musica House [Interplay] 33. Jeffrey Sutorius x Cloudrider x VIBR - Set Me Free [Bodywrmr] 34. Anton By & AV - Need It [Interplay] 35. Dennis Sheperd x LK & Sarah Ikumu - Higher [A Tribute To Life] 36. Matisse & Sadko - Harmony [Monomark Music] 37. NERVO x Plastik Funk ft. Julia Temos - Talk About Us (Panuma Remix) [Future House Music] 38. PLS&TY & x.o.anne - Leave The Light On [Dim Mak] 39. Exxoulls ft. Kris Kiss -Paradigm Shift [On The Way] 40. Vipiem DJ - Every Word You Say [Revealed] 41. Yves V & Albert Harvey - Missing (Festival Mix) [Smash The House] 42. ZHU - Faded (HNTR Remix) [Broke] 43. R-CHY x JON T x Ian Sndrz - Don't Blink [Skink Music] 44. FEEL - Чудное Мгновенье [Suanda] 45. Argy x MEDUZA ft. Polly-Anna - Melodia [Aeterna] 46. Ruslan Radriges & Alexander Turok - Step Into The Night [2Rock B Side] 47. MK ft. Chrystal - Dior (CRUDE Remix) 48. HI-LO & Tai Woffinden - The Orange Theme [Armada] 49. Ruslan Radriges & WhiteLight - Move [Interplay] 50. Somnia x Ruslan Radriges - High In Your Low [2Rock] Ruslan Radriges - Outro

Make it Louder! Episode 577 of Make Some Music radio show with your host - Ruslan Radriges ♪ New EP "FIVE" with HUVAGEN ► 2rock.ffm.to/0311 ♪ Discover this episode: ► band.link/msm577 Also new music by Ruslan Radriges in playlist. Subscribe: ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM577 00:00 Ruslan Radriges - Intro 00:47 El Khatib - Menara [Makemba] 02:53 Huvagen & DAYLY - Lingua Animarum [Interplay] 06:55 Terry Golden - Story of The Skull [Soho Opus] 10:44 Akille & Juna Rose - Through The Smoke [Audio Imprint] 14:20 Alexander Popov x Simon & Phil - Rise Again (Aldor & Van Snyder Remix) [Interplay] [PERFECT TUNE] 17:38 Martin Trevy - Insomnia [Place Called Home] [SOME LATELY FAVORITE] 20:31 Dennis Sheperd x LK & Sarah Ikumu - Higher [A Tribute To Life] 24:32 Leena Punks & Genix - So Good [Anjunabeats] 28:29 KAWSAN - Into The Light [A Tribute To Life] [MOMENT OF THE PAST] 32:24 Ruslan Radriges - Mira 35:19 Mike Williams x Brooks x WHAT EVA - Illusion [Actuation] 38:53 Orjan Nilsen x Mark Sixma x Clara Yates - Through It All [Black Hole] 42:46 MaRLo x Rub!k x Lulu Voxx - Higher Dimension [Reaching Altitude] 45:12 ALEJANDRO - We Move As One [Interplay Unity] 49:23 Oliver Smith & Farley - Legacy (Elevven Remix) [Anjunabeats] 52:00 Takahiro Yoshihira x A2N ft. Todd Nielsen - Got Me Where You Want Me [Acid Dolphin] 54:17 Hardwell ft. Sarah de Warren - No Sleep (VIVID Remix) [Revealed] 56:51 Atrax - Acid Rave [Interplay Unity] 59:41 Ruslan Radriges - Outro

Make it Louder! Episode 576 of Make Some Music radio show with your host - Ruslan Radriges ♪ New track "HIGH IN YOUR LOW" with Somnia ► 2rock.ffm.to/0309 ♪ Discover this episode: ► band.link/msm576 Also new music by Ruslan Radriges in playlist. Subscribe: ► soundcloud.com/ruslanradriges/sets/rrmusic Follow Ruslan Radriges: ♦Instagram ► instagram.com/ruslanradriges ♦Spotify ► spoti.fi/2pRImzg ♦Facebook ► facebook.com/RuslanRadriges ♦YouTube ► youtube.com/c/DjProduserRuslanRadriges ♦VK ► vk.com/ruslanradriges ♦Apple ► music.apple.com/ru/artist/ruslan-radriges/541431482 ♦SoundCloud: ► @ruslanradriges ♦Yandex ► music.yandex.ru/artist/3961521 ♦iTunes: > https://podcasts.apple.com/us/podcast/ruslan-radriges/id1480936940 #RuslanRadriges #MSM576 TRACKLIST: Ruslan Radriges - Intro 01. LTN x Max Denoise x Joanna Angelina - God is With Us [Interplay Soul] 02. Mars Shadow - Astrenox [Ablazing] 03. Ruslan Radriges & Huvagen - Dance With Me [2Rock] 04. Ruslan Radriges & Huvagen - Future [Interplay] 05. Ruslan Radriges & Huvagen - I Want To Hold You Tonight [Interplay] 06. Ruslan Radriges & Huvagen - Alone [2Rock] 07. Ruslan Radriges & Huvagen - Musica House [Interplay] 08. AFROJACK & Amel - Rivers [Wall] 09. Dennis Sheperd x LK & Sarah Ikumu - Higher [A Tribute To Life] 10. Benny Bennasi - Cinema (AATMA Remix) [White Label] [PERFECT TUNE] 11. FEEL - Чудное Мгновенье [Suanda] 12. Fafaq x DJ Kuba x Neitan - Spread Love [Future House Music] 13. SICKCODE x Kiddy x Galaxyy - The Andrea Letter [Suanda Voice] 14. Ella Fitzgerald - We Three Kings (Tourist Remix) [Verve] [MOMENT OF THE PAST] 15. Roman Messer & Roxanne Emery - Lost & Found 16. NrgMind - Blazar [Suanda Dark] [SOME LATELY FAVORITE] 17. Ahmed Helmy & AMINTO - Keep Moving On (Techno Mix) [Aminto] 18. Steve Aoki & KAAZE - Head Rush [Dim Mak] Ruslan Radriges - Outro

Episode Title: Bishkek: The Green City Under Tian ShanEpisode Summary: In this episode of GoNOMAD Travel Podcast, senior writer Chin Liang teams up with Talgat from Datka Travel to uncover the overlooked charms of Bishkek, the capital of Kyrgyzstan. While most travelers rush to the countryside for horse riding and yurt stays, Bishkek rewards those who linger with leafy boulevards, Soviet‑era architecture, vibrant festivals, and mouthwatering Central Asian cuisine.What You'll Discover in This Episode:

Как сделать дедики в Облаке, а не Облако в дедиках. Ребята рассказывают о том, как проектировали сеть для новой услуги Baremetal, которая мало похожа на сеть публичного облака. А также, как автоматизировали физическую сеть так, чтобы клиенты, привыкшие к скорости запуска в облаке, не расстраивались при аренде железных серверов. Оставайтесь на связи Пишите нам: info@linkmeup.ru Канал в телеграме: t.me/linkmeup_podcast Канал на youtube: youtube.com/c/linkmeup-podcast Подкаст доступен в iTunes, Google Подкастах, Яндекс Музыке, Castbox Сообщество в вк: vk.com/linkmeup Группа в фб: www.facebook.com/linkmeup.sdsm Добавить RSS в подкаст-плеер. Пообщаться в общем чате в тг: https://t.me/linkmeup_chat Поддержите проект:

En Russie, c'est l'une des conséquences des sanctions prises au lendemain de l'invasion de l'Ukraine : les ventes de véhicules chinois ont explosé. Elles ont été multipliées par sept depuis 2022 ! Et malgré un marché de l'automobile morose, une nouvelle domination est en train de s'installer. Depuis le début de l'année, plus d'une voiture neuve sur deux vendues en Russie est de marque chinoise. Sur un parking d'un centre commercial, Mikhail recharge à une borne électrique sa berline, une Hongqi achetée il y a trois ans. « C'est sûr que conduire une voiture allemande, c'est bien plus agréable, mais ça va, en termes de confort, de stabilité et de tenue de route, cette voiture fait bien l'affaire. Après, c'est vrai qu'en hiver la batterie se décharge très vite. Ça, c'est un problème. Mais en été ou à ce moment de l'année, tout est parfait », dit-il.  Pour se rendre compte du phénomène, il suffit de se connecter sur l'application de VTC, Yandex. Aux côtés des marques coréennes ou japonaises, de plus en plus de courses sont proposées à bord de véhicules chinois. Taalay est originaire du Kirghizistan et s'il a opté pour une voiture de la marque Geely, c'est avant tout pour son prix. Pour un véhicule chinois moyenne gamme, il faut compter en Russie 2 millions de roubles en moyenne, soit à peu près 20 000 euros. « Aujourd'hui, sur le marché, les voitures chinoises sont bien plus accessibles… Donc moi, c'est le rapport qualité/prix qui m'a décidé. Et puis avec les sanctions, ça ne sert plus à rien d'avoir une voiture européenne, parce que c'est très dur de trouver des pièces détachées. Au moins, avec les voitures chinoises, vous n'avez aucun problème ! », explique-t-il. Un marché conquis après le départ des marques européennes Malgré un contexte économique difficile pour l'automobile en Russie, les constructeurs chinois continuent à gagner des parts de marché. Depuis le début de l'année, 500 000 véhicules chinois ont été vendus en Russie, ce qui représente plus de la moitié des ventes de voitures neuves. Nicolaï Nazaikinskii est journaliste, expert en automobile. « L'une des principales raisons, c'est l'introduction des sanctions occidentales. Quand les Européens ont quitté la Russie, ils ont aussi abandonné leurs concessions. Et les Chinois n'ont eu qu'à les remplacer... Ils ont juste repris leurs concessions et mis leurs logos à la place », indique-t-il. Pour écouler leurs voitures en Russie, les marques chinoises peuvent compter sur des taxes moins élevées qu'en Europe et aux États-Unis, des délais de livraisons plus courts. Mais ils assemblent aussi désormais plus de voitures sur le sol russe. « Nous avons plusieurs usines de voitures chinoises en Russie. La marque Haval avait ici deux usines avant les sanctions, mais vous avez désormais Chery qui assemble ses voitures, et d'autres marques prévoient de faire pareil. En fait, tout est devenu beaucoup plus simple pour ces marques, parce que les infrastructures sont déjà là. Il leur suffit de venir assembler leurs voitures là où les Européens le faisaient auparavant. » Mais cet afflux de voitures chinoises n'est pas sans inquiéter le Kremlin. En janvier, Moscou a décidé de relever les « frais de recyclage », c'est-à-dire des droits de douane pour limiter l'entrée des véhicules étrangers et ainsi protéger les constructeurs russes.

In the episode, we sat down with ClickHouse Co-Founder Yury Izrailevsky to unpack how one of the fastest open-source databases in the world became the analytics engine of choice for 2,000 customers including Harvey, Canva, HP, and Supabase. From its Yandex origins to powering AI observability, Yury shares how ClickHouse balances open-source roots, cloud innovation, and a remote-first culture moving at breakneck speed.ClickHouse's Series C valued the company at $6.35B earlier this year, and just yesterday they announced an extension to that round, just months after it was raised. In this episode, we dig into:Origins & Founding StoryClickHouse began as an internal project at Yandex to power a Google Analytics–style platform, focused on performance and scale.Open-sourced in 2016 - rapid global adoption laid the foundation for ClickHouse the company. Yury first discovered ClickHouse while at Google; impressed by its speed, he later co-founded the company in 2021 alongside Aaron Katz (ex-Elastic) and the original creator Alexey Milovidov.Why ClickHouse Stands OutColumn-oriented, open source OLAP database designed for massive-scale analytical processing.Excels in performance, efficiency, and cost - ideal for large data volumes and real-time analytics (and now AI workloads). Architectural choices:Columnar storage = better compression and faster execution.Separation of compute and storage enables elasticity, scalability, and resilience in the cloud.Open Source vs. CloudOpen-source version offers freedom and flexibility.Cloud product delivers much lower total cost of ownership and fully managed experience.Architectural parity between the two ensuring no vendor lock-in for customers. Customers can run the same queries on both; most stay with cloud due to simplicity and cost efficiency.Use Cases & Ecosystem4 main use cases:Real-time analyticsData WarehousingObservability AI / ML WorkloadsCompany Building & CultureFully remote from day one.Prioritized experienced, self-sufficient engineers over early-career hires.Built and launched GA version in less than a year - insane pace of innovation.Innovation & CommunityMonthly release cadence.Hundreds of integrations and connectors.Strong open-source and commercial communityAdvice for FoundersFocus on what matters most Hire mature, independent thinkers.Move fast but maintain quality; ClickHouse Cloud achieved production-grade quality in record time.

SEO Secrets: Why Do Search Engines Rank Webpages Higher Than Others? with Favour Obasi-Ike) | Get exclusive SEO newsletters in your inbox.This discussion focuses on web page ranking and SEO strategies, particularly in the context of evolving search algorithms and AI. Favour highlighted the importance of domain authority and page authority, emphasizing that content needs to be contextual, comprehensive, and in multimedia formats to rank effectively. They discuss practical tools like Google Search Console and SEOGets for analyzing website data and improving rankings. Additionally, the conversation touches on the accelerated pace of content indexing due to social media and podcasts, suggesting that unique analysis and experience, especially through quotes and diverse content clusters, are crucial differentiators in a world saturated with AI-generated content.Next Steps for Digital Marketing + SEO Services:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Need more information? Visit our Work and PLAY Entertainment website to learn about our digital marketing services.FAQs on Elevating Web Page Ranking in the AI Era1. Why do some web pages rank highly on search engines while others don't?Web pages rank differently due to various factors that influence their visibility to search engine algorithms and users. Key reasons for higher rankings include strong domain authority, relevant and contextual content, the use of multimedia formats, and addressing user queries effectively. Conversely, pages may not rank well if their content is outdated, contains error messages or broken links, lacks credibility, or fails to provide the type of information users are actively seeking. Essentially, a page's ability to rank is a reflection of its usefulness, credibility, and technical optimization in the eyes of search engines.2. What is "domain authority" and why is it important for web page ranking?Domain authority refers to the credibility and trustworthiness of your entire website in the eyes of search engines. It's often represented by a score from 0 to 100, with a higher score indicating greater authority. A strong domain authority is crucial because it signals to search algorithms that your website is a reliable source of information. This trust is built through the credibility of your content and its context. A website with high domain authority can help its individual web pages rank more easily, even if a new page is just published, because the overarching trust established with Google (and other search engines) extends to all its content. Tools like Ahrefs can be used to check your website's domain authority.3. How do content pillars and content clusters contribute to a webpage's ranking?Content pillars and content clusters are strategic approaches to organizing your website's content to improve ranking. Content pillars are broad, foundational topics central to your business or niche. Content clusters are groups of related, more specific articles or pages that link back to a central pillar page. This structure creates a "roadmap" for both users and search engines, demonstrating a comprehensive understanding of a topic. By providing detailed, interconnected content around specific themes, you establish your website as an authoritative resource, allowing people to find you based on various related search queries, thus boosting your overall search visibility.4. How can multimedia and different content formats improve web page rankings?Incorporating multimedia and diverse content formats significantly enhances a web page's ranking potential. While basic text is important, pages that include elements like embedded YouTube videos, infographics, FAQs, pricing lists, and even quotes, offer a richer user experience. Videos, for example, generate captions (text within text), and podcasts can be transcribed, effectively creating "text to the power of three" (text, audio, video all contributing to textual content). This multi-format approach provides more context and content for algorithms to parse, caters to different learning preferences, and increases user engagement, signaling to search engines that the page is valuable and comprehensive.5. What role do search engines like Google Search Console play in optimizing web pages for ranking?Google Search Console (GSC) is a free and essential tool for website owners to monitor their site's performance in Google Search. It acts as the "internet service provider" for your website within Google's database. GSC provides valuable data on how users find your site, which queries they use, and how your pages are performing. By tracking queries, impressions, and clicks, you can identify what information people are seeking and then strategically create or refine content to address those needs. Submitting your sitemap and regularly checking GSC allows you to ensure your content is indexed, track its performance, and make informed decisions to improve rankings. Other search engines like Bing and Yandex also offer similar tools.6. How can an individual's unique analysis and experience differentiate their content in an AI-driven world?In an era where AI can rapidly generate vast amounts of content, unique analysis and personal experience have become paramount differentiators. While AI can produce factual information, it often lacks the nuanced insights, personal anecdotes, and real-world expertise that a human can provide. For instance, when discussing a topic like cooking eggs, an AI might list recipes, but a human can share their experience with different pan types or specific techniques that yield better results. Injecting your personal perspective, insights, and expert opinions into your content creates a level of authenticity and depth that generic, AI-generated content cannot replicate, making your pages more valuable and trustworthy to both users and search algorithms.7. What are some actionable strategies for improving web page rankings quickly today?The landscape of SEO has evolved, allowing for quicker ranking compared to a decade ago. Here are some actionable strategies:Utilize Google Search Console (GSC): Install GSC, analyze query and page data (potentially with tools like SEO Gets), and use AI to help create prompts for analyzing this data to build better web pages.Leverage Domain Authority: If you have a powerful website, new or revised content can rank faster due to Google's existing trust. Press releases can also help promote important content as news is a strong signal to search engines.Content Context & Clusters: Focus on creating contextual content around specific topics, using content pillars and clusters to cover subjects comprehensively.Multimedia Integration: Embed videos, infographics, and other visual or audio elements. Ensure these elements have accompanying text (captions, transcriptions).Answer User Queries (The 5 W's and 1 H): Create content that directly answers common questions people are asking, using the "who, what, when, where, why, and how" framework in your articles and URLs.Create "Tools" Content: Articles or pages about "tools" (free or paid) often attract significant traffic because users are actively seeking solutions.Consistency and Recurrence: Regularly update and create content, and don't be afraid to revisit and expand on successful topics over time.8. How has AI impacted the way web pages rank, and what does it mean for content creators?AI has significantly altered the ranking landscape. While traditional search engines (Google, Bing) remain crucial, AI search (like ChatGPT or Google Gemini) now plays a role in how information is discovered. For content creators, this means adapting to a system where "ranking" on AI might be more accurately described as "earning impressions" or "citations." AI models scrape data from existing online sources, so content that already ranks well on traditional search engines is more likely to be cited by AI.This emphasizes the importance of:Traditional SEO Foundations: Continue to optimize for Google and other search engines, as they remain the primary data source for many AI models.Clarity and Intent: Create content that directly answers user questions in a clear, structured manner, as AI prioritizes direct answers.Attribution and Sourcing: Ensure your content is authoritative and properly attributed, so AI tools can confidently cite your work.Podcasts as a Ranking Tool: Podcasts, with their associated show notes and transcripts, are becoming a powerful way to rank quickly on both traditional and AI-driven searches, as they offer rich, contextual audio and text.Digital Marketing SEO Resources:>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

SEO Services Edition: Is SEO "Dead" in 2025? Who Knows? (Case Studies, Testimonials, and Ultimate Guide with Favour Obasi-Ike) | Get exclusive SEO newsletters in your inbox.Favour Obasi-Ike presents an engaging and conversational discussion that emphatically argues for the continued relevance of Search Engine Optimization (SEO) in 2025 and beyond, directly refuting the idea that SEO is "dead."Favour Obasi-Ike, joined by other marketing professionals (with a guest LIVE! audio testimonial), highlights that SEO is foundational for online visibility across various platforms, including traditional search engines and AI-driven systems like ChatGPT. The dialogue stresses the importance of consistent content creation, strategic updates, and a holistic approach to online presence, emphasizing that SEO is not merely about keywords but about understanding user intent and providing valuable, well-structured information.Favour Obasi-Ike illustrates these points with practical examples and case studies, demonstrating how effective SEO can significantly boost website traffic, lead generation, and overall business growth by ensuring content is discoverable and impactful. The discussion ultimately positions SEO as a continuous, essential investment that underpins all successful digital marketing efforts.Next Steps for Digital Marketing + SEO Services:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Need more information? Visit our Work and PLAY Entertainment website to learn about our digital marketing services.FAQs about the Is SEO "Dead" in 2025? Who Knows? Episode:1. Is SEO dead in 2025?No, SEO is not dead in 2025; in fact, it's more vital than ever. The perception that SEO might be obsolete often stems from a misunderstanding of what it truly encompasses. Search Engine Optimization (SEO) is fundamentally about being discoverable online. With 8.2 billion people in the world and 1.1 billion websites, and an astounding 8 to 16 billion daily searches on Google alone (with 15% being new searches every day), the act of searching for information is constant and growing.The conversation clarifies that "SEO" isn't limited to traditional search engines like Google. Platforms such as ChatGPT, Google, Reddit, TikTok, LinkedIn, Apple Podcasts, Spotify, and YouTube all function as "search engines" where content needs to be optimized to be found. Therefore, anything you do to increase your visibility on these platforms is a form of SEO. The speaker emphasizes that fancy new terms like GEO, AEO, AIO, or SXO are just "cosmetics" for the same underlying principle: making your content discoverable. The core idea is that if you're not focusing on SEO, you're missing out on crucial opportunities for people to find your website and business.2. How has AI impacted SEO, and does it replace traditional SEO efforts?AI does not replace traditional SEO; instead, it exposes and adds structure to it. AI tools and platforms like ChatGPT, Alexa, Siri, Grock, Deepseek, Meta AI, Cloud, Perplexity, and Gemini rely on information from existing traditional platforms and servers. This means that to be found by AI search engines, your content first needs to be optimized and present on these traditional sources (like Google, Bing, Yandex, etc.).The speaker highlights that AI search engines respond based on information given from a "source." If you are not optimizing your original content and website (the "source"), you cannot become a "resource" for AI. AI is looking for well-structured, authoritative content with clear brand citations and links. Having duplicate profiles or unverified business claims on platforms like LinkedIn, for example, can negatively impact how AI (and traditional search engines) perceive your online presence, making it harder for your business to be recognized and recommended. Essentially, AI leverages and amplifies the importance of a robust, well-optimized online foundation.3. What are the key elements for a strong online presence in 2025, beyond just keywords?In 2025, a strong online presence moves beyond solely focusing on keywords to prioritizing conversations, user experience, and a holistic, structured approach to content. Key elements include:Content with Purpose: Focus on "who are you talking to? Who are you serving? Why are you showing up?" Your content should address specific questions and needs, aiming for positive, neutral, or negative sentiment analysis from AI.Continuous Optimization: SEO is not a one-time fix. Websites and content need regular updates. Blogs, for instance, have a *24-month cycle*, meaning consistent updates are crucial to maintain visibility. The "last modified" timestamp is vital for algorithms.Structured Content: Turn unstructured content (like a simple blog post) into structured articles with headings, internal/external links, embedded scripts, iframes, tables, infographics, FAQs, quotes, images, alt text, and schema (microdata/rich snippets). This makes it more digestible for both humans and search engines.Platform Integration & Tokenization: Your website should be connected to all relevant online platforms (Instagram, LinkedIn, YouTube, podcasts, etc.). When a page is updated, it gets "tokenized" (duplicated) across various search engines and platforms (Google, Yahoo, DuckDuckGo, Brave, Bing, ChatGPT). This ensures wide distribution and recognition.Google Search Console: This is paramount. Connecting your website to Google Search Console is the "internet service provider of Google" and allows you to track impressions, clicks, and positions, providing crucial data on your marketing efforts.E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness): Google's guideline emphasizes providing the best user experience. This means creating a well-structured, intentional, and high-quality online presence that builds trust and authority.4. Why is continuous content creation and updating crucial for SEO?Continuous content creation and updating are crucial because SEO is an ongoing process, not a one-time task. Websites need "oil changes" and "tire alignments" through new articles, blogs, and updates to remain healthy and high-performing for algorithms.Key reasons include:Content Decay: Blogs have a *24-month active cycle*. If content isn't updated within three years, its chances of sustaining visibility become slim, even with good initial content. The "last modified" timestamp on your content signals freshness and relevance to search engines.Algorithm Recognition: Search engines and AI prioritize active, recent, and updated information. Consistent updates help algorithms recognize your website as a continuously relevant and valuable source, leading to better rankings.Meeting Evolving Search Needs: Search volumes and user needs change with seasons, holidays, and emerging trends. Regularly updated content allows your business to align with these evolving search patterns.Increased Impressions and Authority: Consistently producing and updating 52 pieces of content a year can significantly boost your website's impressions and domain authority. This demonstrates expertise and a sustained commitment to providing value.Audience Retention: A continuous flow of valuable, updated content helps build an "attention map"that fosters a "retention curve," keeping your audience engaged and returning.5. How can businesses leverage diverse online platforms for SEO, and what's the role of podcasting?Businesses should leverage diverse online platforms by connecting their website as a central hub to all their social media, content, and directory listings. This creates a structured pathway for discovery and builds authority. The speaker emphasizes that platforms like LinkedIn, YouTube, Apple Podcasts, Spotify, and Reddit are all search engines in their own right.Podcasting is highlighted as an exceptionally powerful tool for several reasons:Know, Like, and Trust Factor: Podcasting is described as the fastest way for someone to "know, like, and trust" you, as it allows for a deeper, more personal connection through voice.Authoritative Content: Like blogs and books, podcasts have an author, contributing to your overall "dominant authority online."Wide Distribution and Citation: Podcasts are distributed across *30-40+ stations* (Spotify, Apple, Pandora, iHeart, Podcast Addict, Alexa), each acting as a resource. When AI (like ChatGPT) or other search engines cite a podcast link, it directly mentions your content and business.Content Repurposing: Turning podcast episodes into topical blogs (show notes with hypertext links) auto-indexes your content through servers, further increasing visibility across traditional and AI search engines.Organic Lead Generation: Podcasting can organically attract clients without needing paid ads. As demonstrated by a client who gained clients from Google and ChatGPT after starting a podcast, it builds authority that leads to organic discovery and trust.Niche-Based Search: Podcasting allows for highly niche-based content, meaning if you show up consistently, algorithms will rank and refer you to people specifically looking for your expertise.By integrating podcasts with other platforms (website, social media, email lists) and consistently producing valuable content, businesses can significantly expand their reach and establish strong online authority.6. What is the significance of "tokenization" and the "last modified" date for online content?"Tokenization" refers to the process where, every time you update or "last modify" a page on your website, that page is essentially duplicated or recognized as an individual entity that can be shown on various web platforms and search engines. For example, if your website is updated, that updated content can then appear on Google, Yahoo, DuckDuckGo, Brave, Bing, and even AI platforms like ChatGPT.The "last modified" date is a crucial signal to algorithms. Just like your phone updates its software regularly, your website content needs consistent updates. If a blog post, for instance, was published in 2022 and hasn't been updated by September 2025, the algorithm recognizes this lack of recent activity. While it might still appear online if there's no competition, its chances of sustaining visibility are slim. A recent "last modified" date indicates to search engines that the content is fresh, relevant, and actively maintained, increasing its likelihood of being found and ranked. This continuous "tokenization" of updated content across the web amplifies your digital footprint and authority.7. What is the speaker's definition of "future" and how does it relate to SEO?The speaker defines "future" based on its Latin origin, "futurist," meaning "to grow or become," and its dictionary definition as "the time or a period of time following the moment of speaking or writing; time regarded as still to come."This definition directly relates to SEO by emphasizing that every piece of content you create – whether speaking on a podcast or writing a blog post – is an act of "speaking or writing into the future." It's a proactive planning project where your current efforts manifest over time. Just as one plans to build a house with a blueprint, SEO involves strategic planning and consistent execution. Answering questions in the form of web links or podcast episodes serves as a long-term investment. The way you answer one question can lead to several more, creating a continuous flow of engagement and discovery. By actively creating content now, businesses are building an online presence that will continually attract users in the "time still to come," ensuring sustained growth and visibility.8. What essential steps should a business take to start or improve its SEO strategy, especially when seeking professional help?To effectively start or improve an SEO strategy, especially when seeking professional help, a business should take several essential steps:Establish a Foundational Online Presence: The absolute first step is to have a website, or at minimum, a domain name. A website acts as the "anchor" for your business online. Without one, you lack a central hub for discoverability and tracking.Connect to Google Search Console: This is non-negotiable. Google Search Console is the "internet service provider of Google" and allows you to track critical data like impressions, clicks, and positions, which are vital for understanding and proving SEO effectiveness.Define Goals and Strategy: Before engaging with an expert, have a clear understanding of your business goals. If you don't have an SEO strategy, bring your business plan, and a professional can help build one from there. This includes understanding who you are talking to, who you are serving, and why you are showing up.Understand Investment Levels: Be prepared for an investment. While specific figures are mentioned (starting around *$1,500/quarter*), the key is to recognize that SEO is a continuous investment, not a one-time expense, and it offers long-term gains.Prioritize Content Creation for Search Engines (and then humans): As advised, "write everything for search engines, not for you." Focus on creating content that aligns with how algorithms discover and present information. This indirectly means writing for humans as well, as search engines aim to serve relevant and valuable content to users.Embrace Multi-Platform Content: Create diverse content forms (blogs, podcasts, videos, social media posts) that answer common questions people are asking. Distribute this content across relevant platforms, ensuring interconnections (e.g., website links in podcast show notes).Be Intentional and Consistent: SEO requires active, consistent effort. Dedicate time weekly (e.g., 45 minutes a day for 45 days) or invest in professional management to consistently update and optimize your online presence. This consistency builds authority and ensures you're actively engaging with algorithms.Prepare for a Consultation: When booking a call with an SEO expert, be ready to discuss your website, business plan, and specific goals. Professionals will often audit your website, provide insights via Loom videos, and offer structured plans (quarterly, biannually, or annually) with clear communication (e.g., weekly recorded calls).Digital Marketing SEO Resources:>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

SSH Tunneling in Action: direct-tcp requests Attackers are compromising ssh servers to abuse them as relays. The attacker will configure port forwarding direct-tcp connections to forward traffic to a victim. In this particular case, the Yandex mail server was the primary victim of these attacks. https://isc.sans.edu/diary/SSH%20Tunneling%20in%20Action%3A%20direct-tcp%20requests%20%5BGuest%20Diary%5D/32094 Fortiguard FortiWeb Unauthenticated SQL injection in GUI (CVE-2025-25257) An improper neutralization of special elements used in an SQL command ('SQL Injection') vulnerability [CWE-89] in FortiWeb may allow an unauthenticated attacker to execute unauthorized SQL code or commands via crafted HTTP or HTTPs requests. https://www.fortiguard.com/psirt/FG-IR-25-151 Ruckus Virtual SmartZone (vSZ) and Ruckus Network Director (RND) contain multiple vulnerabilities Ruckus products suffer from a number of critical vulnerabilities. There is no patch available, and users are advised to restrict access to the vulnerable admin interface. https://kb.cert.org/vuls/id/613753

In memoriam: Bill Atkinson Meta native apps & JavaScript collude for a localhost local mess. The EU rolls out its own DNS4EU filtered DNS service. Ukraine DDoS's Russia's Railway DNS ... and... so what? The Linux Foundation creates an alternative Wordpress package manager. Court tells OpenAI it must NOT delete ANYONE's chats. Period! :( A CVSS 10.0 in Erlang/OTP's SSH library. Can Russia intercept Telegram? Perhaps. Spain's ISPs mistakenly block Google sites. Reddit sues Anthropic. Twitter's new encrypted DM's are as lame as the old ones. The Login.gov site may not have any backups. Apple explores the question of recent Large Reasoning Models "thinking" Show Notes - https://www.grc.com/sn/SN-1029-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: hoxhunt.com/securitynow threatlocker.com for Security Now uscloud.com canary.tools/twit - use code: TWIT