Podcasts about Dima

//The Wire//2300Z May 27, 2025////ROUTINE////BLUF: UKRAINE WAR RHETORIC INTENSIFIES. STATEMENTS CONTINUE FOLLOWING WEEKEND RIOT IN SEATTLE. DETAILS EMERGE REGARDING LAST WEEK'S VANDALISM IN TEXAS.// -----BEGIN TEARLINE------International Events-Europe: Rhetoric concerning the war in Ukraine continues to escalate, as both President Trump and the Kremlin trade insults and less-than-friendly messaging. In response to the latest Russian drone strikes in Ukraine, President Trump stated that Putin was "playing with fire" regarding these developments. In response to this, former Russian Prime Minister (and current Deputy Chair of Russia's Security Council) Dmitry Medvedev stated that the "bad thing" that President Trump alluded to is WW3.AC: This is a classic Medvedev statement; invoking threats of WW3 is a fairly standard Tuesday for Dima, as Medvedev (echoing his former role as Prime Minister) often serves as the more informal conveyor of what Putin is thinking. To the casual observer it may not seem like it, but the situation is not openly hostile yet. However, the diplomacy being conducted between the United States and Russia is heating up nonetheless.-HomeFront-Pennsylvania: Overnight, a small arms engagement was reported at Lemon Hill Park in Philadelphia. 2x were killed, and 9x others were wounded. 1x person was also struck by a vehicle during the fray caused by the shooting. Local authorities state that three separate shooters have been counted as partaking in the incident, based on the shell casings found at the scene.AC: Very few details have been released regarding the cause of the shooting, or why a large group of people was gathered in this park late at night. At first glance this appears to be a gang shooting and/or the result of a domestic dispute, though more details are needed.Texas: More details have come to light following acts of vandalism that were reported throughout Austin last week. Three separate facilities were defaced with graffiti on May 21st, and yesterday it became known that all three facilities were linked to various Islamic institutions in the area. One was a Mosque and the other two sites were cultural centers. A vigil has been scheduled for May 29th in response to the acts of vandalism, and the Austin Police Department has announced a rigorous increase in patrols, along with undercover operations to prevent further vandalism.Washington: A small riot broke out over the weekend in Seattle as a concert and prayer vigil was held in Cal Anderson Park. The event, which largely involved various performances by Christian musical groups and various prayer vigils, was hosted by Pursuit Northwest, a local Christian organization. The event (which was permitted and approved by the government), became host to violence as ANTIFA activists arrived and began assaulting the police officers guarding the perimeter of the event. 27x rioters were arrested for assaulting police at the event. None of the event participants were arrested; 100% of the violence took place between ANTIFA activists and police. However, all of the rioters who assaulted police were immediately released by a local judge on Monday.-----END TEARLINE-----Analyst Comments: Though it may be surprising to some, the events over the weekend in Seattle are not out of the ordinary, and merely reflect the regional norm when it comes to those who practice the Christian faith in the region. Any type of display of Christianity in Seattle is usually met with violence, so the outcome being violence conducted on those attending the event was to be expected. In this case, extreme violence was very much going to be the result from the very start...holding a prayer vigil in a park named after the first openly gay Congressman in Washington was very much going to result in a kinetic response by locals.However, one important detail that ha

Dima is a two-time Stevie Awards winner, recipient of multiple industry awards, and a Forbes contributor, he helps brands turn reputation into a strategic advantage, leveraging AI and crisis management to drive growth.As CEO of Reputation House, Dima has worked with businesses in 15+ countries, helping companies across the U.S., UAE, Europe, Asia, and Africa transform reputation challenges into growth opportunities. His expertise spans crisis management, brand trust, and the psychology of digital influence.A sought-after international speaker, he has taken the stage at Seamless Dubai, Africa Fintech Forum, and Digital Marketing Nights (Hong Kong), sharing cutting-edge insights on AI-driven reputation management, brand resilience, and the power of digital perception.With a unique blend of strategy, technology, and real-world experience, Dima turns reputation crises into powerful growth drivers, helping businesses not just recover but scale to new heights.Connect with Dima here: https://www.linkedin.com/in/dimaraketa/https://www.facebook.com/dimaraketa13https://www.instagram.com/dimaraketta/https://reputation.house/Don't forget to click below to get our FREE LinkedIn High-Impact Post Templates to increase your engagement organically: https://www.thetimetogrow.com/ecsposttemplates

In this powerful episode of It Happened To Me, co-hosts Cathy Gildenhorn and Beth Glassman are joined by two fierce patient advocates and changemakers in the sickle cell disease community: Wunmi Bakare and Dima Hendricks. Both women are living with sickle cell disease and have transformed their lived experiences into platforms for storytelling, education, and change.   They are also the co-hosts of #ThroughTheGenes, a podcast that launched last year on World Sickle Cell Day (June 19, 2024). The show explores gene therapy and other innovative treatments for sickle cell disease while centering patient voices. With a second season debuting again on June 19th (exactly a month from today!), Wunmi and Dima continue to bring much-needed visibility to a condition that is often misunderstood and underfunded. And they will be joined by a new dynamic host, Christelle Salomon!   Topics Discussed: What is sickle cell disease and how it impacts daily life The emotional and physical toll of living with a chronic, invisible illness Medical gaslighting and how to advocate for yourself Finding community and realizing you're not alone Blending identity, advocacy, and creativity in the public eye Insights into gene therapy, including CRISPR technology and treatment considerations Health equity and why access to care must be a priority in the sickle cell space The power of patient-centered storytelling through #ThroughTheGenes podcast   During the episode Beth referenced a previous episode with someone who has pancreatic cancer, you can listen to Leslie Waldman's full interview on Episode 25 here.    Catch up with all of season 1 of #ThroughTheGenes podcast right now, before season 2 launches on World Sickle Cell Day on June 19th, 2025.    Both podcasts, It Happened To Me and #ThroughTheGenes are part of Gene Pool Media, the science podcast network. Be sure to check out all these science shows, many of which discuss medical challenges.    Stay tuned for the next new episode of “It Happened To Me”! In the meantime, you can listen to our previous episodes on Apple Podcasts, Spotify, streaming on the website, or any other podcast player by searching, “It Happened To Me”.    “It Happened To Me” is created and hosted by Cathy Gildenhorn and Beth Glassman. DNA Today's Kira Dineen is our executive producer and marketing lead. Amanda Andreoli is our associate producer. Ashlyn Enokian is our graphic designer.   See what else we are up to on Twitter, Instagram, Facebook, YouTube and our website, ItHappenedToMePod.com. Questions/inquiries can be sent to ItHappenedToMePod@gmail.com. 

HEADLINES:• Kids In Abu Dhabi Get Their First Device At The Age Of 3 • Man Arrested After 3 Women Killed in Ras Al Khaimah Traffic Dispute • Maid Fined After Dog Bites Teen In An Elevator • Tia Zakher's Caveman Skin Care Method Sparks Online Meltdown • Dima Mousseli: Meet The Star Behind The Award-Winning Skits!

Dima Mousseli: Meet The Star Behind The Award-Winning Skits!

How to Support the Rob Skinner Podcast.  If you would like to help support my mission to multiply disciples, leaders and churches, click here:  https://www.buymeacoffee.com/robskinner Dima and Marina Dudnik lead a church in Sofia, Bulgaria.  Originally from Ukraine, they trained for ministry under Shawn and Lena Wooten and started leading the church in Sofia in 2020.  Both studied music growing up and Marina gave up her professional career as a violinist to serve Jesus on the mission field.  Listen as they share about their romance that started at the age of 12 and led to marriage at the age of 19.  

durée : 00:58:47 - La Conversation littéraire - par : Mathias Énard - La ville de Beyrouth est à l'honneur, d'une rue du Liban dans les années 1970, à un voyage plus contemporain. Beyrouth, ville-monde, à la fois blessée et flamboyante, fragile et tenace. Une ville que la littérature n'a de cesse d'interroger, de raconter, et qui est au cœur de ces ouvrages singuliers - réalisation : Laure-Hélène Planchet - invités : Selim Nassib Écrivain; Dima Abdallah Écrivaine

TECH CLUBBERS PODCAST W/ DIMA KACHAN Dima Kachan returns with a new mix, setting the tone for his upcoming LP — a selection that blends fresh material with tracks driving the energy forward. Based in Warsaw, Dima is a DJ, producer, and founder of the queer party series Somasutra. Known for his immersive approach to techno, he builds sets that go beyond trends, prioritizing deep, driving rhythms and an unpredictable selection that keeps the crowd locked in. His performances have taken him to some of Europe's most renowned underground spaces, including multiple appearances at the legendary Gegen (Berlin). He has collaborated with Veselka and performed across Denmark, Germany, Latvia, Poland, and beyond. As a producer, his releases span Vague, Deestricted, Obscuur, MASS (UK), along with a series of self-released works — always woven seamlessly into his DJ sets. Follow DIMA KACHAN here: Instagram: https://www.instagram.com/dmkchn Soundcloud: https://soundcloud.com/dima-kachan

▼ Follow Nicksher Music: » Spotify Playlist: https://open.spotify.com/playlist/4dI7kNNcEGQ8MSGLYVh39T?si=Zg1yjJAHTASjK7xa5S-Lew » SoundCloud: https://soundcloud.com/nickshermusic » YouTube: https://www.youtube.com/channel/UCcTF27v-cpxlBfLdQODpFTw » Beatport: https://beatport.com/label/nicksher-music/57468 » VK: https://vk.com/club123650463 » Instagram: https://www.instagram.com/nickshermusic/ --- ▼ Follow Dima Love: SoundCloud: https://soundcloud.com/dimalove-scmusic

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What happens when the stories we’re raised on become the shackles we need to break? Today's guest, Dima Ghawi was born in Turkey, raised in Jordan, and is now living in the US... Her journey is one of defiance, resilience, and rebirth. From escaping an abusive marriage to shattering generational expectations (and quite literally, the metaphorical vase she was taught to be), Dima shares how she found freedom, purpose, and identity on the other side of survival. We talked about the silent weight of shame, the power of questioning inherited norms, and what it really means to take the pen and rewrite your own story. Whether you’ve ever felt like a misfit, carried the invisible scars of conformity, or questioned who you truly are beneath the roles you've played… this one’s for you. SPONSORED BY TESTART FAMILY LAWYERS Website: testartfamilylawyers.com.au DIMA GHAWI Website: dimaghawi.com/ TIFFANEE COOK Linktree: linktr.ee/rollwiththepunches Website: tiffcook.com LinkedIn: linkedin.com/in/tiffaneecook/ Facebook: facebook.com/rollwiththepunchespodcast/ Instagram: instagram.com/rollwiththepunches_podcast/See omnystudio.com/listener for privacy information.

In this episode, we're joined by Dima Ghawi, a globally recognized keynote speaker and leadership coach, whose work empowers individuals to break barriers and lead with purpose. As the closing keynote speaker for the upcoming VSAE Annual Conference (May 4–6 in Roanoke), Dima offers a powerful preview of the insights she'll be bringing to the stage. She shares her personal story of resilience—overcoming cultural expectations and an abusive relationship—and how those experiences shaped her passion for bold, authentic leadership. Dima explores the importance of questioning the status quo, confronting fear and doubt, and shedding self-imposed limitations. She also emphasizes how personal growth and professional success are deeply connected, and why trust, vision, and vulnerability are essential to inspiring teams and building meaningful workplace cultures. VSAE ConneXions is produced by Association Briefings.

La guerre du Liban, entre 1975 et 1990, a profondément meurtri le pays. Dans cette synthèse actualisée, Dima de Clerck et Stéphane Malsagne l'étudient dans toutes ses dimensions: militaire et politique bien sûr, mais également sociale, familiale, territoriale. Ils montrent comment elle peut aussi être considérée comme un modèle de l'internationalisation des conflits, par l'implication des acteurs régionaux et mondiaux et par la circulation des objets, des personnes et des idées. Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Joi, Aprilie 10 - Sf. Mucenici. Terentie, Pompie, African, Maxim; Sf. Dima

CEO of Pandatron where we partner with Fortune 500s to transform the way change happens with AI. Our conversational AI platform combines systemic coaching with data-driven insights, enhancing employee engagement and accelerating strategy execution.My dream is to enhance self-awareness, emotional intelligence and psychological maturity of everyone on the planet as I believe this may be our best option for improving the world. Pandatron is my vehicle for realizing this dream.In my free time I support companies that are pushing the boundaries of aging research and longevity biotechnology.Besides, I am Ukrainian, a supporter of therapy, minimalist, writer on Medium. I am interested in metamodernism and the work of Hanzi Freinacht. I live in San Francisco and often visit Helsinki.LinkedIn: https://www.linkedin.com/in/dimasyrotkin/Website: https://pandatron.ai/ ***********Susanne Mueller / www.susannemueller.biz TEDX Talk, May 2022: Running and Life: 5KM Formula for YOUR Successhttps://www.youtube.com/watch?v=oT_5Er1cLvY 700+ weekly blogs / 450+ podcasts / 1 Ironman Triathlon / 5 half ironman races / 26 marathon races / 4 books / 1 Mt. Kilimanjaro / 1 TEDx Talk

What if the biggest thing holding you back isn't a lack of strategy or motivation—but a belief you've carried since childhood?In this deeply moving and transformational episode, I sit down with Dima Ghawi, global speaker, award-winning author, and leadership coach, whose story will leave you speechless—and inspired. From escaping death threats and cultural imprisonment to becoming a beacon for leaders and executives around the world, Dima shares how she shattered the “invisible vase” of limiting beliefs and now helps others do the same.We talk about breaking free from internal prisons, finding the courage to lead with authenticity, and how to reignite your inner fire by embracing your story. If you've ever felt stuck, small, or like something invisible is holding you back… this episode is the key you've been looking for.What You'll Learn in This EpisodeWhat the “invisible vase” is—and how it shapes your leadership and lifeThe hidden cost of unhealed childhood wounds in entrepreneurshipThe power of vision and how to dream again when life has worn you downWhy forgiveness is the most overlooked leadership strategyDima's 5 soul-shifting questions to activate your inner fireHow to rise from the shards and become a “starter dough” for othersKey Takeaways✔️You are not living the life you're meant for until you shatter the invisible vase.✔️Limiting beliefs formed in childhood silently sabotage your business and life.✔️Forgiveness isn't just healing—it's leadership.✔️You don't need to be fearless—you need to be willing.✔️Vision gives you direction, even if all you have is 5 minutes of energy.✔️Courage is not confidence—it's a choiceless choice you lean into daily.✔️You already have the wild element within—you just need to rise.Timestamps[00:00] – Welcome and intro to Dima's story of courage and transformation[03:00] – What is the invisible vase and how it holds us back[06:00] – The hidden voice in leaders that sabotages decisions[10:00] – Dima's upbringing in Jordan and the roots of cultural limitations[13:00] – Escaping abuse, isolation, and creating a new life in the U.S.[18:00] – Surviving, rebuilding, and discovering the power of choice[24:00] – Redefining courage: it's not about fearlessness[29:00] – The role of vision in creating a purpose-driven life[37:00] – The vase as a metaphor for internalized expectations[41:00] – The 5 questions to activate your inner fire[50:00] – Why forgiveness is your key to freedom[56:00] – Becoming the “starter dough” that helps others rise[59:00] – Final words of wisdom and how to start shattering your vase todayChoose Your Next StepsJournal your answers to Dima's 5 reflection questions:What ingredients help you rise?Who do you need to bring on the journey?What is your current vision?What knuckles are holding you down?Who can you be a starter dough for?Choose one limiting belief and rewrite it into a powerful truth.DM me or Dima on Instagram and share your biggest takeaway.Connect with Dima GhawiInstagram: @dima.ghawiWebsite: www.dimaghawi.comBook: Breaking Vases – Grab it hereJoin The Alliance – My exclusive Relationship Beats Algorithms communityPrivate Coaching – Ready to scale with alignment? Apply to work with me

Dima, Erik, and Komar go over the latest results against Rukh, discuss the latest transfer rumors and have a bit of fun looking at some forgotten legends.

What's the secret to a successful career pivot?Dmytro Vozniuk started his journey at Revolut as a Customer Support Specialist. He made a complete career transition into engineering thanks to Revolut's Spires programme, which offers employees a pathway to transition into tech.Now a front-end engineer, Dima talks about what it took to balance full-time work with learning to code, and how his experience in support gives him an edge in his latest role. In this episode, Alex and Dima discuss:- Making a change from the Support to Tech team through Revolut's internal Spires programme- The reality of balancing full-time work with studying for a new career- His latest role and the satisfaction of becoming a front-end engineer- Takeaways from his time in Support that help him in his new role- A typical day as a front-end engineer at Revolut- What made Dima decide to pursue this new career path- Advice to those considering exploring a career in tech- Dima's experience relocating to start a career at Revolut- Overcoming self-doubt and imposter syndrome in a new role - The skills that have been critical to Dima's successFollow Revolut Insider on Instagram: ⁠⁠⁠revolut.la/RevolutInsider⁠⁠View open career opportunities at Revolut: ⁠⁠⁠revolut.la/Careers⁠⁠

In this episode, we take you to Moldova, where countless children face the harsh realities of poverty, abandonment, and vulnerability to trafficking. We hear from Anastasia as she shares the powerful story of Dima, a 15-year-old boy once lost in the streets, struggling without a stable home or family support. Known as the most difficult child at the local day center, Dima's life took a dramatic turn when a dedicated mentor stepped in, offering not just guidance but genuine love and belonging.Through simple acts of kindness—sharing meals, providing a safe space, and showing unwavering support—Dima's life began to change. Now, he's not just surviving; he's thriving, even stepping into a leadership role at the center that once fought to keep him from slipping through the cracks.Join us as we explore the impact of consistent love, the power of community, and the transformation that happens when one child is seen, known, and given a chance at a future. This is a story of hope, redemption, and the unseen heroes working to change lives in Moldova.---Watch the interview: https://youtu.be/b-D7g001r_ERead the blog: https://www.thefreedomchallenge.com/blogposts/2025/3/31/resilience-amp-redemption---Want to learn more? The Freedom Challenge US: thefreedomchallenge.comOperation Mobilization USA: omusa.orgInstagram: @freedomchallengeusa / Facebook: @thefcusaSupport the show

Kolya Funk, Matvey Emerson - What Is Love (Dima Love Remix) Слушаем оригинал на всех площадках: www.silk.bnd.lc/whatislovekoly…

Reiki master and teacher Dima Gornovskyi joins me this week to talk about his journey of finding reiki and healing himself and others with it. Dima explains his journey of growing up fifty miles away from Chornobyl, suffering from chronic fatigue, and how it led him to heal with Reiki. He has been helping others heal through Reiki and teaching them how they can heal themselves with it ever since.Find Us:https://www.higherself.online/courses/reikihttps://www.jackiebrubaker.com/Support the show

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Don't forget to Like & Subscribe to GET SIMPLIFIED!Pronoia:https://www.pronoiabjj.com/Use promocode SIMPLEMAN for 10% off your entire order at checkoutPronoia Instagram: @pronoiabjjMake sure to visit our sponsors, MASF Supplements/ Violent Hippieuse promo code "SIMPLEMAN" at check out to receive a 15% discount "BE KIND OR ELSE!"Wepsites: masfsupplements.com violenthippie.comInstagrams: https://www.instagram.com/violent__hippie/ https://www.instagram.com/masf_supplements/Simple man instagram:https://www.instagram.com/thesimplemanpodcast/Merch Store: https://www.alvafitness.com/collections/simple-man-podcastXMartial:https://www.xmartial.com/Simpleman Rashguard: https://bteamjj.shop/products/simple-man-podcast-rash-guard Carne Jerky: https://www.instagram.com/carnejerky_/ NEW TikTok:https://www.tiktok.com/@therealsimplemanpodcast?lang=enAnaconda Fightwear:https://anacondafightwear.co/products/anacondakneebrace?gclid=CjwKCAiAlcyuBhBnEiwAOGZ2S6jy4e-hIsOD-_PV8qcvo-8N2YZ9YhZPMY80vCSfhdUT5APLzkcQRxoCnMhiQQAvD_BwEPromo code: https://Www.anacondafightwear.co/SIMPLEMAN15Marekhealth:

Dima Barch is a Russian genre filmmaker residing in Los Angeles. His films Dead End (2022) and The Power of the Strike (2024) debuted in the short blocks at Beyond Fest to rave reviews amongst the crowds. He was recently named a recipient of the George A. Romero film fellowship, with a mentorship from Carter Smith, director of The Ruins (2008). Before becoming a filmmaker, Dima was heavily involved in film journalism for over nine years, attending red carpet premieres and writing articles on movies. He's currently in-development on his first features with original screenplays that he wrote. The Power of the Strike is available for free on YouTube. If you're a fan of his work, be sure to shoot him a follow @dimabarch and stay tuned for announcements on his upcoming projects.  #KellensPettyTalkShow

Dima Srouji is a Palestinian architect, artist, and researcher born in 1990 in Nazareth. She holds a Bachelor of Architecture from Kingston University (2012) and a Master of Architecture from the Yale School of Architecture (2016). ​Srouji's interdisciplinary practice explores the ground as a repository of cultural narratives and potential collective healing. She employs various media—including glass, text, archives, maps, plaster casts, and film—to interrogate concepts of cultural heritage and public space, particularly within the Middle East and Palestine. Her collaborative approach involves working closely with archaeologists, anthropologists, sound designers, and glassblowers. ​In 2016, Srouji founded Hollow Forms, a glassblowing initiative in collaboration with the Twam family in Jaba', Palestine, aiming to revitalize traditional glassblowing techniques. Her work has been exhibited internationally, including at the Victoria & Albert Museum in London, the Corning Museum of Glass in New York, the Sharjah Art Biennial, the Islamic Art Biennial in Jeddah, and the Contemporary Arts Center in Cincinnati. Her pieces are part of permanent collections at institutions such as the Stedelijk Museum Amsterdam and the Victoria & Albert Museum. ​Srouji has contributed to academic discourse through her writings in publications like The Architectural Review and The Avery Review. She currently leads the MA City Design studio at the Royal College of Art in London, focusing on archaeological sites in Palestine as contexts for urban analysis. ​In recognition of her contributions to art and architecture, Srouji was awarded the Jameel Fellowship at the Victoria & Albert Museum for 2022-2023. ​Through her multifaceted work, Srouji challenges conventional narratives, offering new perspectives on cultural heritage and identity within contested spaces.​Support the Architecture Foundation – visit https://www.patreon.com/ArchitectureFoundation to find out how. Hosted on Acast. See acast.com/privacy for more information.

In this episode of The Digital Executive, Brian Thomas welcomes Dima Reketa, an international expert in digital marketing and reputation management. As the CEO of Reputation House, Dima has helped businesses across 15+ countries turn online perception into a strategic asset. With a career spanning multiple entrepreneurial ventures, he shares insights on navigating crisis management, leveraging AI for brand trust, and building sustainable digital influence. Dima discusses how Reputation House employs cutting-edge AI technology to monitor, predict, and enhance corporate reputations. He also highlights why online reputation is a measurable business asset impacting sales, valuation, and talent acquisition. Tune in to learn how companies can take control of their digital presence and turn reputation challenges into growth opportunities!

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In dieser Folge von Future Weekly sprechen wir mit Dima Rubanov und Matthias Neumayer. Die beiden sind beste Freunde seit Schulzeiten und haben mittlerweile mehrere KI-Startups gegründet, darunter Oscar Stories, Frag das PDF und ihre neueste Initiative rund um das Modell LORA für kindgerechte KI. Wie haben sie sich selbst Programmieren beigebracht? Was treibt sie an, gleich mehrere Produkte parallel zu entwickeln? Und warum glauben sie an Europa als Tech-Standort? Das und mehr erfahrt ihr in dieser Episode.---Diskutier mit uns & der Community auf der AustrianStartups Plattform: https://austrianstartups.com/topics/40285/feedFolge uns auf Social Media:Instagram: https://www.instagram.com/futureweekly/LinkedIn: https://www.linkedin.com/company/49159750/---Du hast Feedback, Ideen, Moonshots oder Predictions zu den heutigen Themen? Schick uns ein Soundbite an podcast@austrianstartups.com und werde ein Teil der nächsten Episode.---Musik (Intro/Outro): www.sebastianegger.com

Want to go on a motorcycle tour? Then Emma and Cat have got a trip for you. The Dolomites, Tuscany, Pyrenees or the Julian Alps are all going to be good bets for great roads and great food. And to sweeten the pot, a coach from Yamaha Champions Riding School will be on the trip to give you tips and feedback on your riding skills. Keith from YCRS joins us to talk about becoming a better rider, and the skills needed to ride like a champion on these amazing trips. With Miss Emma, Stumpy John, Mycah, Charley, Cat, Brian, Henry, Dima and Bagel. https://ridelikeachampion.com/ https://www.leodescapes.com/ breakingawayadventures.com/misfits-rally-vol-3 motorcyclesandmisfits.com/shop Join our Discord at discord.gg/hpRZcucHCT www.motorcyclesandmisfits.com motorcyclesandmisfits@gmail.com www.patreon.com/motorcyclesandmisfits www.zazzle.com/store/recyclegarage www.youtube.com/channel/UC3wKZSP0J9FBGB79169ciew

Alex, Andriy, Dima and Komar celebrate the centenary episode by going over the latest news, fixtures, and they have a bit of fun looking back at Dynamo history.

2 Timotei 4.9-22 9. Caută de vino curând la mine.10. Căci Dima, din dragoste pentru lumea de acum, m-a părăsit şi a plecat la Tesalonic. Crescens s-a dus în Galatia, Tit în Dalmatia.11. Numai Luca este cu mine. Ia pe Marcu şi adu-l cu tine; căci el îmi este de folos pentru slujbă.12. Pe Tihic […]

In this episode of "The Roofer Show," Dave Sullivan is back with Dima Sobovoy from Roofing SEO School to discuss how SEO is changing for roofing contractors. Dave, who's been in the industry for over 30 years, is all about helping contractors boost their businesses. Dima shares his journey from being a dental lab technician to becoming an SEO expert, highlighting why having a well-optimized website is crucial and how AI is shaking up search engines. They dive into some common myths about SEO, why being an authority on your topic matters, and how to use AI and local SEO to boost your online presence and credibility. Tune in to hear more!What you'll hear in this episode:Importance of Search Engine Optimization (SEO) for roofing contractorsEvolution of SEO practices and trends, including the impact of AICommon misconceptions about SEO and its effectivenessThe concept of "search everywhere optimization" and its broader implicationsSignificance of having a well-optimized website for brand recognition and trustRole of website audits and tools like SEMrush in improving online presenceStrategies for effective content creation and the need for a strategic approachImportance of local SEO and optimizing Google Business ProfilesThe value of customer reviews and managing online reputationThe necessity of tracking SEO success and understanding the balance between SEO and PPC advertisingConnect with DimaRoofing SEO School Resources Mentioned: SEO to boost your online presence Check out this episode on our Youtube channel at @DaveSullivanRooferShow" or use this link - https://youtu.be/N7F2wJVbfwkBe sure to subscribe, like, and comment!Set up a FREE strategy call with Dave and get a few tips on how you can improve your business: https://davesullivan.as.me/free-strategy-callInterested in learning more about our 1-on-1 coaching, mastermind groups, or fractional CFO services? Email me or send me a text at (510) 612-1450.No Plan? No problem. Download our FREE 1-Page Business Plan For Roofing Contractors: https://theroofershow.com/planThe Roofer Show's Vetted SponsorsHave RUBY answer your phones and tee up the sale by leaving a great first impression. Use this link to get up to $150 off your first month's service: ruby.com/roofershow.SMA Support Services fills a need by empowering contractors to simplify and optimize their operational processes with virtual assistant services. Explore what a virtual assistant can do for your contracting business. Let SMA do the hiring, training, and onboarding. Check out SMAsupport.us (Tell them Dave sent you.)Automate your follow-up process and close more sales with ProLine. Get started for FREE at https://useproline.com/. Use promo code “Dave50” for $50 off your first month's service!

Nuestro chef, Robin Food, nos enseña a preparar una sopa especiada del castañero. Además, charlamos con un cocinero que ha inventado una forma revolucionaria de cocinar a la plancha, Julen Baz, que trabaja en el restaurante Garena, en Dima, Vizcaya.

00:00 - 05:00 - Introduction, how Bobby and Dima meet05:00 - 09:30 - How Dima started coaching at B-Team 09:30 - 12:00 - Structuring training schedule *microphone breathing issue*12:00 - 14:20 - Bobby training at B-Team14:20 - 14:50 - Bobbys physique 14:50 - 20:00 - Heart Rate training 20:00 - 24:00 - Dima becoming a coach 24:00 - 30:30 - Fitness and training multiple x per day 30:30 - 32:35 - Bobby's dog trainer 32:35 - 37:45 - Bobby almost killed Dima and stories from New York 37:45 - 39:00 - Dima 2025 39:00 - 41:00 - Improving wrestling 41:00 - 43:00 - Q & A and roasting Bobby 43:00 - 45:56 - Bobby almost got assassinated Where To Find Dima: https://www.instagram.com/dima_murovanni/?hl=en Dimas Pateron: https://www.patreon.com/dimamurovanni?utm_campaign=creatorshare_creator Where To Find Bobby: https://www.instagram.com/bobbysandhubjj/?hl=en Charles Strength Training Programs FREE 7 DAY PROGRAM:https://app.fitr.training/p/7dayfreeprogram 4 Week Jiu Jitsu Strength Program: https://app.fitr.training/p/4weekstrengthprogram Join The Team: https://app.fitr.training/p/matstrongonline BJJ Workouts Instructional: https://bjjfanatics.com/collections/new-releases/products/building-workouts-for-bjj-by-charles-allan-price 1:1 Coaching Inquiries: https://7kdbbkmkmsl.typeform.com/to/nSZHpCOL Hosted on Acast. See acast.com/privacy for more information.

Dima Ghawi, Gen X, joins us for this episode. She is Middle Eastern in her genes, American in her heart, and a global citizen in her spirit. She ignites the untapped potential in individuals across the globe, empowering them to shatter limitations and become courageous, purpose driven leaders. Her own journey is one of escaping confinement, crossing continents, and transforming her life's purpose. Harnessing the power of her story, Dima is committed to inspiring individuals to attain personal and professional growth.   Topics Covered: Challenging the norm Education as a way to shatter vases Healing and rising above Following our feelings, heart   Episode Takeaways   1.   We all have broken vases and there's beauty in the imperfection with purpose to it. A vase is the expectation that we live our life perfectly and thinking something is wrong with us if we think differently. 2. If we don't challenge the norm we'll just pass along the same ways of being or “chains” and miss opportunities for growth. When we challenge we can shatter our vase and rebuild ourselves. 3. We have the power to rise above and not stay small – we need to let go of the chains. We can start with a vision and keep playing it in our head to help make it a reality. It's important to select the people we surround ourselves and watch the self-talk to be intentional and heal.   Card or Gift Item Dima Liked from Our Store https://girltaketheleadpod.com/shop     Brave Butterfly – With Brave Wings She Flies   More About Dima: Through keynote speeches, workshops, and executive coaching, Dima shares her unique leadership transformation journey to motivate and activate those around her to reimagine their potential, grow into leaders, and create inclusive corporate cultures.   Episode Resources: Breaking Vases: Shattering Limitations & Daring to Thrive - A Middle Eastern Woman's Story  https://amazon.com Ep. 139, Powering Up Your Leadership: Exploring Energy Levels with Brandy Mabra https://spotifycreators-web.app.link/e/s2GvYEsnLPb   Ep. 140, From victim to Creator: A Deep Dive into the book, Energy Leadership by Bruce D. Schneider https://spotifycreators-web.app.link/e/xwEWfEsnLPb Ep. 141, Unlocking Your Potential: Insights About Energy & Emotion from Becoming Supernatural by Dr. Joe Dispenza https://spotifycreators-web.app.link/e/4uwB2DsnLPb   Ep. 211, The Universe Within: Aligning, Goals, Intentions, and Joy https://spotifycreators-web.app.link/e/FEh86IDQOPb   Ep. 207, Building Meaningful Friendships: Overcoming Loneliness and Finding Joy with ziem Nguyen Neubert https://spotifycreators-web.app.link/e/4UyoMgWXKPb How to reach Dima: Websites: https://www.dimaghawi.com/ https://www.breakingvases.com/   eMail: dima@dimaghawi.com   FB: https://www.facebook.com/dghawi   https://www.linkedin.com/in/dimaghawi/   IG: https://www.instagram.com/dima.ghawi   How to reach Yo Canny:    Our website: www.girltaketheleadpod.com  You can send a message or voicemail there. We'd love to hear from you!   email: yo@yocanny.com FB group: Girl, Take the Lead https://www.facebook.com/groups/272025931481748/?ref=share   IG: yocanny   YouTube   LinkedIn: https://www.linkedin.com/in/yocanny/

QUARTA FIRE - PR DIMA by A Igreja

The boys are back for the first episode of 2025, as Dima, Erik, and Komar go over the latest transfers and friendlies as Dynamo start the Winter Zbory.

00:00 - 07:30 - Jeremy beat Eoghan via heel hook & getting a black belt from Lachlan Giles07:30 - 11:20 - Transitioning to Jiu Jitsu fulltime 11:20 - 15:38 - Starting an online Jiu-Jitsu business, Atomic Dojo 15:38 - 20:14 - Ecological Approach20:14 - 33:30 - Strength training 33:30 - 36:15 - Improving your fitness for Jiu-Jitsu and movement efficiency 36:15 - 37:19 - Greece & Rapid fire questions 37:19 - 42:20 - Tough rounds at B-Team & Taylor Pearman42:20 - 47:20 - Craig Jones, Dima and Nicky Rod & the role of a coach 47:20 - 50:10 - CJI2 & Las Vegas and Jeremy's shooting experience 50:10 - 53:45 - Nutrition for life53:45 - 54:25 - Best submissions to add to your game 54:25 - 57:00 - Aoki Locks & Bear Traps 57:00 - 01:01:30 - Jiu-Jitsu in Australia is popping off 01:01:30 - 01:02:45 - Closing notes How to work with us:Where To Find Jeremy: https://www.instagram.com/jeremyskinnerbjj/?hl=en How To Work With Jeremy: https://www.atomicdojo.com.au/ Charles Strength Training Programs FREE 7 DAY PROGRAM: https://app.fitr.training/p/7dayfreeprogram 4 Week Jiu Jitsu Strength Program: https://app.fitr.training/p/4weekstrengthprogram Join The Team: https://app.fitr.training/p/matstrongonline BJJ Workouts Instructional: https://bjjfanatics.com/collections/new-releases/products/building-workouts-for-bjj-by-charles-allan-price 1:1 Coaching Inquiries: https://7kdbbkmkmsl.typeform.com/to/nSZHpCOL Hosted on Acast. See acast.com/privacy for more information.

In this powerful episode of Glass Ceilings and Sticky Floors, we're joined by Dima Ghawi—author, speaker, and courageous leader—who shares her extraordinary journey of breaking free from the limitations of her culture, family, and expectations. Topics include:Cultural Constraints: Growing up in a Middle Eastern community with strict expectations of obedience and perfection.The Vase Analogy: How cultural pressures to remain “perfect” shaped her early life—and how she shattered them.Depression as a Catalyst: How hitting rock bottom became the turning point for questioning the norms that held her back.Making the Hard Choices: The courage to escape an oppressive situation and rebuild her life from scratch.Unstoppable Courage: Steps to overcome fear, invest in yourself, and create a life of purpose.Practical Advice: The importance of grieving, finding light through knowledge, and surrounding yourself with the right people.Dima's story is raw, real, and full of lessons for anyone who feels stuck or bound by expectations. Her memoir, Breaking Vases, is a must-read for anyone ready to shatter limitations and thrive.Links and Resources:Connect with Dima: dimagawi.comOrder her book: Breaking VasesBUY THE BOOK - Glass Ceilings and Sticky FloorsBe a Book Launch Insider!!!My FREE 5x5 Starter Kit for LinkedInFREE WEEKLY SUCCESS PLANNERJoin our Facebook Group! Find me on InstagramCheck out our PINS on PinterestAnd YES - I'm on TikTok!

In this powerful episode of Glass Ceilings and Sticky Floors, we're joined by Dima Ghawi—author, speaker, and courageous leader—who shares her extraordinary journey of breaking free from the limitations of her culture, family, and expectations. Topics include:Cultural Constraints: Growing up in a Middle Eastern community with strict expectations of obedience and perfection.The Vase Analogy: How cultural pressures to remain “perfect” shaped her early life—and how she shattered them.Depression as a Catalyst: How hitting rock bottom became the turning point for questioning the norms that held her back.Making the Hard Choices: The courage to escape an oppressive situation and rebuild her life from scratch.Unstoppable Courage: Steps to overcome fear, invest in yourself, and create a life of purpose.Practical Advice: The importance of grieving, finding light through knowledge, and surrounding yourself with the right people.Dima's story is raw, real, and full of lessons for anyone who feels stuck or bound by expectations. Her memoir, Breaking Vases, is a must-read for anyone ready to shatter limitations and thrive.Links and Resources:Connect with Dima: dimagawi.comOrder her book: Breaking VasesBUY THE BOOK - Glass Ceilings and Sticky FloorsBe a Book Launch Insider!!!My FREE 5x5 Starter Kit for LinkedInFREE WEEKLY SUCCESS PLANNERJoin our Facebook Group! Find me on InstagramCheck out our PINS on PinterestAnd YES - I'm on TikTok!

In this episode, Dima Ghawi discusses her inspiring journey from a suppressed Middle Eastern upbringing to becoming a global influencer, coach, and leadership consultant. Dima shares her early life lessons about perfection from her grandmother, her escape from an abusive marriage, and her ascent in the corporate world spurred by supportive leaders. They delve into themes like overcoming life's limitations, enhancing workplace cultures, DEI initiatives, and the crucial role of authentic leadership. The discussion covers practical strategies for leaders to foster environments where employees feel valued, understood, and motivated to break their own barriers. Episode Highlights: 04:46 Breaking Free: Dima's Escape and New Beginnings 06:06 The Role of Leadership in Personal Growth 13:22 Dima's Professional Journey and DEI Initiatives 20:46 Creating Healthy Work Cultures Dima Ghawi is a globally recognized leadership expert and award-winning author dedicated to empowering individuals to break barriers and become courageous, purpose-driven leaders. With Middle Eastern roots, an American heart, and a global perspective, her journey spans continents and cultures, inspiring personal and professional transformation. Drawing on two decades of corporate leadership with Fortune 100 companies like IBM, Merrill Lynch, and Intuit, Dima specializes in cultivating inclusive corporate cultures and developing leaders for the global workforce. Her memoir, Breaking Vases, has earned multiple accolades, including the Writer’s Digest Grand Prize. Dima’s impactful work has been honored with prestigious awards such as the IWEC Award, Mosaic Champion Award, and President’s Bronze Volunteer Service Award. Through keynotes, workshops, and executive coaching, she ignites potential, advocates for inclusivity, and empowers diverse voices in corporate and community spaces. Connect with Dima: Company Websites: https://www.dimaghawi.com/ Instagram: https://www.instagram.com/dima.ghawi/LinkedIn: https://www.linkedin.com/in/dimaghawi/ For more insights: Book a call: https://bit.ly/4cToGDs Follow me on my YouTube Channel: https://bit.ly/47GgMdn Sign up for my Weekly Newsletter: https://bit.ly/3T09kVcSee omnystudio.com/listener for privacy information.

Prieteni, invitatul acestei ediții de Leaders, Bogdan Dima, conferențiar la Facultatea de Drept a Universității Bucureşti, ne va ajuta să înțelegem ce nu am mai trăit până în urmă cu câteva săptămâni, anularea alegerilor.

In this episode of Web3 with Sam Kamani, I interview Dima and Vytautas, co-founders of Zekret, the first privacy-preserving EVM chain built with regulatory compliance at its core. We discuss: How Zekret is designed for the upcoming Mika regulations in Europe. The challenges of balancing decentralization, privacy, and compliance in DeFi. Why meme coin creators, market makers, and DeFi projects need to rethink their strategies. Zekret's roadmap, node structure, and plans to onboard existing DeFi communities. If you're building or investing in DeFi, this episode is packed with insights on navigating regulation, ensuring compliance, and preserving the essence of Web3. Key Timestamps [00:00:00] Introduction: Sam introduces Dima and Vytautas, co-founders of Zekret, and the focus on regulation in DeFi. [00:01:00] What is Zekret? A privacy-preserving, EVM-compatible chain built for regulatory compliance. [00:02:00] Founders' Background: Dima's journey as a software engineer and Vytautas' experience in cryptography and blockchain advocacy. [00:03:00] Current Stage: Zekret is launching its testnet in Q1 2024 and mainnet in May 2024. [00:04:00] Why Regulation Matters: Mika regulations in Europe and their global implications. How Zekret ensures compliance for projects and users. [00:06:00] Impact on Meme Coins and Market Makers: The shift from unregulated to responsible token launches. Challenges for market makers under stricter rules. [00:08:00] Zekret's Approach: EVM compatibility for seamless adoption. Focus on onboarding entire DeFi communities to Zekret's ecosystem. [00:10:00] Roadmap and Challenges: Building secure node infrastructure and launching testnets. Attracting early adopters and ensuring a smooth go-to-market strategy. [00:12:00] Foundation Structure: Plans to set up a decentralized foundation for ecosystem growth. Regional incentives to promote crypto adoption and development. [00:14:00] The Future of DeFi under Mika: How regulations will reshape market making and token launches. Why compliant infrastructure like Zekret is essential for survival. [00:18:00] The Ask: Partnerships with DeFi and gaming communities, and collaboration with regulators to shape the future of Web3. Connect https://www.zekret.xyz/ https://x.com/ZekretProtocol https://www.linkedin.com/in/ministras/ https://x.com/vytautaskaseta Disclaimer Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

In episode six of Spare a Thought, Tom interviews Dima Hamdan, a Palestinian filmmaker and former journalist.  Tom talks to Dima about why she became a filmmaker, what it's like to be a member of the Palestinian diaspora and why she made the Iris Prize winning film Blood Like Water. Blood Like Water tells the story of a Palestinian gay man who is blackmailed to become an informant in occupied Palestine.  Tom and Dima's conversation is honest and open, challenging and thought provoking. Near the end of the episode Dima provides recommended reading, listening and watching which can be found below. It's time to Spare a Thought for Dima Hamdan. Books about Palestine  The Hundred Years' War on Palestine by Rashid Khalidi Palestinian Walks by Raja Shehadeh Films   Palestine Film Institute Podcast  Makdisi Street Also, feel free to follow Tom via Instagram: https://www.instagram.com/sparetom/

Our guest today is an expert in many things but "what to do when things don't go according to plan" in her personal and professional lives is what has driven her to amazing heights including climbing to the top of Mount Fuji!! . International Keynote Speaker, Mountain Climber and Best-Selling Author Dima Ghawi has 20+ years experience as a global leader working for Fortune 100 companies like IBM, Merrill Lynch and Intuit and another decade advising organizations and leaders to create courageous and inclusive work cultures. Her book is entitled 'Breaking Vases: Shattering Limitations and Daring to Thrive.' But it's the strength and resiliency she's shown in breaking free from years of cultural norms as a young girl growing up in Jordan that really show who she is, and the inspiration she offers. Dima's story began with an arranged marriage at the age of 19 in Jordan, which led to a challenging period of her life marked by deep depression and isolation. However, she found the courage to break free and pursue an MBA in San Diego, leading her to join IBM's leadership development program. KEY TAKEAWAYS: Leadership Lessons from Mount Fuji: The podcast highlights a story about a team-building exercise on Mount Fuji, emphasizing that true leaders support their team rather than racing to the top alone. Overcoming Cultural Barriers: Dima Ghawi shares her experience as a Middle Eastern woman navigating cultural differences in the U.S. Dealing with Workplace Jerks: The podcast discusses strategies for handling difficult colleagues. Breaking Free from Limitations: Dima Ghawi's journey from an arranged marriage to becoming a successful leader illustrates the power of self-reflection and education in overcoming personal and professional limitations. The Misfit Advantage: Embracing one's differences can be a powerful tool in the workplace. "A leader is a person who helps the team get to the top step by step. Sometimes we're pushing the team forward. Sometimes we're walking to their side, but not the one who leaves the team behind just to get to the top first." - Dima Ghawi #leadership #culturaldifferences #workplaceculture #careers #HR #Jordan #professionaldevelopment CONNECT WITH DIMA GHAWI https://www.linkedin.com/in/dimaghawi/ https://www.facebook.com/people/Dima-Ghawi-%D8%AF%D9%8A%D9%85%D8%A7-%D8%BA%D8%A7%D9%88%D9%8A/100050491089661/ Connect with Manage Smarter Hosts   ·         Website: ManageSmarter.com  ·         LinkedIn: Audrey Strong                                                                    ·         LinkedIn: C. Lee Smith     Connect with SalesFuel ·         Website: http://salesfuel.com/  ·         Twitter: @SalesFuel  ·         Facebook: https://www.facebook.com/salesfuel/    Learn more about your ad choices. Visit megaphone.fm/adchoices

“Our purpose doesn't have to be changing the world. It can be as simple as being a good human being. Let's simplify purpose.”In this episode of the Business is Human podcast, host Rebecca Fleetwood Hession sits down with Dima Ghawi, an influential speaker, leadership coach, and author of Breaking Vases. With an inspiring journey that begins in the Middle East and leads to empowering lives worldwide, Dima shares her insights on turning personal pain into a driving force for purpose. Her story emphasizes the importance of shattering societal expectations, cultivating inner strength, and finding personal power through vulnerability. Dima shares how confronting and releasing past trauma can lead to self-acceptance, improved mental well-being, and authentic leadership.In this episode, you'll learn:How overcoming personal pain can transform your professional lifeThe role of vulnerability in building authentic leadershipWhy simplifying your purpose can lead to greater happiness and impactThings to listen for:(00:00) Intro(05:31) Breaking away from imposed identities(12:17) How personal trauma can lead to professional transformation(15:44) Simplifying purpose to find clarity(21:36) Leading with empathy in modern business culture(22:30) Stories of purpose-driven people at work(29:42) Leadership is kindness and opening doors for others (31:20) How vulnerability strengthens teams and relationships(37:40) Cultivating resilience through intentional self-reflectionConnect with Dima:Website: https://www.dimaghawi.com/LinkedIn: https://www.linkedin.com/in/dimaghawi/Youtube: https://www.youtube.com/c/DimaGhawiInstagram: https://www.instagram.com/dima.ghawi/X: https://x.com/dghawiConnect with Rebecca:https://www.rebeccafleetwoodhession.com/

We have a full slate of upcoming events: AI Engineer London, AWS Re:Invent in Las Vegas, and now Latent Space LIVE! at NeurIPS in Vancouver and online. Sign up to join and speak!We are still taking questions for our next big recap episode! Submit questions and messages on Speakpipe here for a chance to appear on the show!We try to stay close to the inference providers as part of our coverage, as our podcasts with Together AI and Replicate will attest: However one of the most notable pull quotes from our very well received Braintrust episode was his opinion that open source model adoption has NOT gone very well and is actually declining in relative market share terms (it is of course increasing in absolute terms):Today's guest, Lin Qiao, would wholly disagree. Her team of Pytorch/GPU experts are wholly dedicated toward helping you serve and finetune the full stack of open source models from Meta and others, across all modalities (Text, Audio, Image, Embedding, Vision-understanding), helping customers like Cursor and Hubspot scale up open source model inference both rapidly and affordably.Fireworks has emerged after its successive funding rounds with top tier VCs as one of the leaders of the Compound AI movement, a term first coined by the Databricks/Mosaic gang at Berkeley AI and adapted as “Composite AI” by Gartner:Replicating o1We are the first podcast to discuss Fireworks' f1, their proprietary replication of OpenAI's o1. This has become a surprisingly hot area of competition in the past week as both Nous Forge and Deepseek r1 have launched competitive models.Full Video PodcastLike and subscribe!Timestamps* 00:00:00 Introductions* 00:02:08 Pre-history of Fireworks and PyTorch at Meta* 00:09:49 Product Strategy: From Framework to Model Library* 00:13:01 Compound AI Concept and Industry Dynamics* 00:20:07 Fireworks' Distributed Inference Engine* 00:22:58 OSS Model Support and Competitive Strategy* 00:29:46 Declarative System Approach in AI* 00:31:00 Can OSS replicate o1?* 00:36:51 Fireworks f1* 00:41:03 Collaboration with Cursor and Speculative Decoding* 00:46:44 Fireworks quantization (and drama around it)* 00:49:38 Pricing Strategy* 00:51:51 Underrated Features of Fireworks Platform* 00:55:17 HiringTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner at CTO at Danceable Partners, and I'm joined by my co-host, Swyx founder, Osmalayar.Swyx [00:00:11]: Hey, and today we're in a very special studio inside the Fireworks office with Lin Qiang, CEO of Fireworks. Welcome. Yeah.Lin [00:00:20]: Oh, you should welcome us.Swyx [00:00:21]: Yeah, welcome. Yeah, thanks for having us. It's unusual to be in the home of a startup, but it's also, I think our relationship is a bit unusual compared to all our normal guests. Definitely.Lin [00:00:34]: Yeah. I'm super excited to talk about very interesting topics in that space with both of you.Swyx [00:00:41]: You just celebrated your two-year anniversary yesterday.Lin [00:00:43]: Yeah, it's quite a crazy journey. We circle around and share all the crazy stories across these two years, and it has been super fun. All the way from we experienced Silicon Valley bank run to we delete some data that shouldn't be deleted operationally. We went through a massive scale where we actually are busy getting capacity to, yeah, we learned to kind of work with it as a team with a lot of brilliant people across different places to join a company. It has really been a fun journey.Alessio [00:01:24]: When you started, did you think the technical stuff will be harder or the bank run and then the people side? I think there's a lot of amazing researchers that want to do companies and it's like the hardest thing is going to be building the product and then you have all these different other things. So, were you surprised by what has been your experience the most?Lin [00:01:42]: Yeah, to be honest with you, my focus has always been on the product side and then after the product goes to market. And I didn't realize the rest has been so complicated, operating a company and so on. But because I don't think about it, I just kind of manage it. So it's done. I think I just somehow don't think about it too much and solve whatever problem coming our way and it worked.Swyx [00:02:08]: So let's, I guess, let's start at the pre-history, the initial history of Fireworks. You ran the PyTorch team at Meta for a number of years and we previously had Sumit Chintal on and I think we were just all very interested in the history of GenEI. Maybe not that many people know how deeply involved Faire and Meta were prior to the current GenEI revolution.Lin [00:02:35]: My background is deep in distributed system, database management system. And I joined Meta from the data side and I saw this tremendous amount of data growth, which cost a lot of money and we're analyzing what's going on. And it's clear that AI is driving all this data generation. So it's a very interesting time because when I joined Meta, Meta is going through ramping down mobile-first, finishing the mobile-first transition and then starting AI-first. And there's a fundamental reason about that sequence because mobile-first gave a full range of user engagement that has never existed before. And all this user engagement generated a lot of data and this data power AI. So then the whole entire industry is also going through, falling through this same transition. When I see, oh, okay, this AI is powering all this data generation and look at where's our AI stack. There's no software, there's no hardware, there's no people, there's no team. I want to dive up there and help this movement. So when I started, it's very interesting industry landscape. There are a lot of AI frameworks. It's a kind of proliferation of AI frameworks happening in the industry. But all the AI frameworks focus on production and they use a very certain way of defining the graph of neural network and then use that to drive the model iteration and productionization. And PyTorch is completely different. So they could also assume that he was the user of his product. And he basically says, researchers face so much pain using existing AI frameworks, this is really hard to use and I'm going to do something different for myself. And that's the origin story of PyTorch. PyTorch actually started as the framework for researchers. They don't care about production at all. And as they grow in terms of adoption, so the interesting part of AI is research is the top of our normal production. There are so many researchers across academic, across industry, they innovate and they put their results out there in open source and that power the downstream productionization. So it's brilliant for MATA to establish PyTorch as a strategy to drive massive adoption in open source because MATA internally is a PyTorch shop. So it creates a flying wheel effect. So that's kind of a strategy behind PyTorch. But when I took on PyTorch, it's kind of at Caspo, MATA established PyTorch as the framework for both research and production. So no one has done that before. And we have to kind of rethink how to architect PyTorch so we can really sustain production workload, the stability, reliability, low latency, all this production concern was never a concern before. Now it's a concern. And we actually have to adjust its design and make it work for both sides. And that took us five years because MATA has so many AI use cases, all the way from ranking recommendation as powering the business top line or as ranking newsfeed, video ranking to site integrity detect bad content automatically using AI to all kinds of effects, translation, image classification, object detection, all this. And also across AI running on the server side, on mobile phones, on AI VR devices, the wide spectrum. So by the time we actually basically managed to support AI across ubiquitous everywhere across MATA. But interestingly, through open source engagement, we work with a lot of companies. It is clear to us like this industry is starting to take on AI first transition. And of course, MATA's hyperscale always go ahead of industry. And it feels like when we start this AI journey at MATA, there's no software, no hardware, no team. For many companies we engage with through PyTorch, we feel the pain. That's the genesis why we feel like, hey, if we create fireworks and support industry going through this transition, it will be a huge amount of impact. Of course, the problem that the industry is facing will not be the same as MATA. MATA is so big, right? So it's kind of skewed towards extreme scale and extreme optimization in the industry will be different. But we feel like we have the technical chop and we've seen a lot. We'll look to kind of drive that. So yeah, so that's how we started.Swyx [00:06:58]: When you and I chatted about the origins of fireworks, it was originally envisioned more as a PyTorch platform, and then later became much more focused on generative AI. Is that fair to say? What was the customer discovery here?Lin [00:07:13]: Right. So I would say our initial blueprint is we should build a PyTorch cloud because a PyTorch library and there's no SaaS platform to enable AI workloads.Swyx [00:07:26]: Even in 2022, it's interesting.Lin [00:07:28]: I would not say absolutely no, but cloud providers have some of those, but it's not first class citizen, right? At 2022, there's still like TensorFlow is massively in production. And this is all pre-gen AI, and PyTorch is kind of getting more and more adoption. But there's no PyTorch-first SaaS platform existing. At the same time, we are also a very pragmatic set of people. We really want to make sure from the get-go, we get really, really close to customers. We understand their use case, we understand their pain points, we understand the value we deliver to them. So we want to take a different approach instead of building a horizontal PyTorch cloud. We want to build a verticalized platform first. And then we talk with many customers. And interestingly, we started the company in September 2022, and in October, November, the OpenAI announced ChatGPT. And then boom, when we talked with many customers, they were like, can you help us work on the JNS aspect? So of course, there are some open source models. It's not as good at that time, but people are already putting a lot of attention there. Then we decided that if we're going to pick a vertical, we're going to pick JNI. The other reason is all JNI models are PyTorch models. So that's another reason. We believe that because of the nature of JNI, it's going to generate a lot of human consumable content. It will drive a lot of consumer, customer-developer-facing application and product innovation. Guaranteed. We're just at the beginning of this. Our prediction is for those kind of applications, the inference is much more important than training because inference scale is proportional to the up-limit award population. And training scale is proportional to the number of researchers. Of course, each training round could be very expensive. Although PyTorch supports both inference and training, we decided to laser focus on inference. So yeah, so that's how we got started. And we launched our public platform August last year. When we launched, it was a single product. It's a distributed inference engine with a simple API, open AI compatible API with many models. We started with LM and then we added a lot of models. Fast forward to now, we are a full platform with multiple product lines. So we love to kind of dive deep into what we offer. But that's a very fun journey in the past two years.Alessio [00:09:49]: What was the transition from you start to focus on PyTorch and people want to understand the framework, get it live. And now say maybe most people that use you don't even really know much about PyTorch at all. You know, they're just trying to consume a model. From a product perspective, like what were some of the decisions early on? Like right in October, November, you were just like, hey, most people just care about the model, not about the framework. We're going to make it super easy or was it more a gradual transition to the model librarySwyx [00:10:16]: you have today?Lin [00:10:17]: Yeah. So our product decision is all based on who is our ICP. And one thing I want to acknowledge here is the generic technology is disruptive. It's very different from AI before GNI. So it's a clear leap forward. Because before GNI, the companies that want to invest in AI, they have to train from scratch. There's no other way. There's no foundation model. It doesn't exist. So that means then to start a team, first hire a team who is capable of crunch data. There's a lot of data to crunch, right? Because training from scratch, you have to prepare a lot of data. And then they need to have GPUs to train, and then you start to manage GPUs. So then it becomes a very complex project. It takes a long time and not many companies can afford it, actually. And the GNI is a very different game right now, because it is a foundation model. So you don't have to train anymore. That makes AI much more accessible as a technology. As an app developer or product manager, even, not a developer, they can interact with GNI models directly. So our goal is to make AI accessible to all app developers and product engineers. That's our goal. So then getting them into the building model doesn't make any sense anymore with this new technology. And then building easy, accessible APIs is the most important. Early on, when we got started, we decided we're going to be open AI compatible. It's just kind of very easy for developers to adopt this new technology, and we will manage the underlying complexity of serving all these models.Swyx [00:11:56]: Yeah, open AI has become the standard. Even as we're recording today, Gemini announced that they have open AI compatible APIs. Interesting. So we just need to drop it all in line, and then we have everyone popping in line.Lin [00:12:09]: That's interesting, because we are working very closely with Meta as one of the partners. Meta, of course, is kind of very generous to donate many very, very strong open source models, expecting more to come. But also they have announced LamaStack, which is basically standardized, the upper level stack built on top of Lama models. So they don't just want to give out models and you figure out what the upper stack is. They instead want to build a community around the stack and build a new standard. I think there's an interesting dynamics in play in the industry right now, when it's more standardized across open AI, because they are kind of creating the top of the funnel, or standardized across Lama, because this is the most used open source model. So I think it's a lot of fun working at this time.Swyx [00:13:01]: I've been a little bit more doubtful on LamaStack, I think you've been more positive. Basically it's just like the meta version of whatever Hugging Face offers, you know, or TensorRT, or BLM, or whatever the open source opportunity is. But to me, it's not clear that just because Meta open sources Lama, that the rest of LamaStack will be adopted. And it's not clear why I should adopt it. So I don't know if you agree.Lin [00:13:27]: It's very early right now. That's why I kind of work very closely with them and give them feedback. The feedback to the meta team is very important. So then they can use that to continue to improve the model and also improve the higher level I think the success of LamaStack heavily depends on the community adoption. And there's no way around it. And I know the meta team would like to kind of work with a broader set of community. But it's very early.Swyx [00:13:52]: One thing that after your Series B, so you raced for Benchmark, and then Sequoia. I remember being close to you for at least your Series B announcements, you started betting heavily on this term of Compound AI. It's not a term that we've covered very much in the podcast, but I think it's definitely getting a lot of adoption from Databricks and Berkeley people and all that. What's your take on Compound AI? Why is it resonating with people?Lin [00:14:16]: Right. So let me give a little bit of context why we even consider that space.Swyx [00:14:22]: Because like pre-Series B, there was no message, and now it's like on your landing page.Lin [00:14:27]: So it's kind of very organic evolution from when we first launched our public platform, we are a single product. We are a distributed inference engine, where we do a lot of innovation, customized KUDA kernels, raw kernel kernels, running on different kinds of hardware, and build distributed disaggregated execution, inference execution, build all kinds of caching. So that is one. So that's kind of one product line, is the fast, most cost-efficient inference platform. Because we wrote PyTorch code, we know we basically have a special PyTorch build for that, together with a custom kernel we wrote. And then we worked with many more customers, we realized, oh, the distributed inference engine, our design is one size fits all. We want to have this inference endpoint, then everyone come in, and no matter what kind of form and shape or workload they have, it will just work for them. So that's great. But the reality is, we realized all customers have different kinds of use cases. The use cases come in all different forms and shapes. And the end result is the data distribution in their inference workload doesn't align with the data distribution in the training data for the model. It's a given, actually. If you think about it, because researchers have to guesstimate what is important, what's not important in preparing data for training. So because of that misalignment, then we leave a lot of quality, latency, cost improvement on the table. So then we're saying, OK, we want to heavily invest in a customization engine. And we actually announced it called FHIR Optimizer. So FHIR Optimizer basically helps users navigate a three-dimensional optimization space across quality, latency, and cost. So it's a three-dimensional curve. And even for one company, for different use cases, they want to land in different spots. So we automate that process for our customers. It's very simple. You have your inference workload. You inject into the optimizer along with the objective function. And then we spit out inference deployment config and the model setup. So it's your customized setup. So that is a completely different product. So that product thinking is one size fits all. And now on top of that, we provide a huge variety of state-of-the-art models, hundreds of them, varying from text to large state-of-the-art English models. That's where we started. And as we talk with many customers, we realize, oh, audio and text are very, very close. Many of our customers start to build assistants, all kinds of assistants using text. And they immediately want to add audio, audio in, audio out. So we support transcription, translation, speech synthesis, text, audio alignment, all different kinds of audio features. It's a big announcement. You should have heard by the time this is out. And the other areas of vision and text are very close with each other. Because a lot of information doesn't live in plain text. A lot of information lives in multimedia format, images, PDFs, screenshots, and many other different formats. So oftentimes to solve a problem, we need to put the vision model first to extract information and then use language model to process and then send out results. So vision is important. We also support vision model, various different kinds of vision models specialized in processing different kinds of source and extraction. And we're also going to have another announcement of a new API endpoint we'll support for people to upload various different kinds of multimedia content and then get the extract very accurate information out and feed that into LM. And of course, we support embedding because embedding is very important for semantic search, for RAG, and all this. And in addition to that, we also support text-to-image, image generation models, text-to-image, image-to-image, and we're adding text-to-video as well in our portfolio. So it's a very comprehensive set of model catalog that built on top of File Optimizer and Distributed Inference Engine. But then we talk with more customers, they solve business use case, and then we realize one model is not sufficient to solve their problem. And it's very clear because one is the model hallucinates. Many customers, when they onboard this JNI journey, they thought this is magical. JNI is going to solve all my problems magically. But then they realize, oh, this model hallucinates. It hallucinates because it's not deterministic, it's probabilistic. So it's designed to always give you an answer, but based on probabilities, so it hallucinates. And that's actually sometimes a feature for creative writing, for example. Sometimes it's a bug because, hey, you don't want to give misinformation. And different models also have different specialties. To solve a problem, you want to ask different special models to kind of decompose your task into multiple small tasks, narrow tasks, and then have an expert model solve that task really well. And of course, the model doesn't have all the information. It has limited knowledge because the training data is finite, not infinite. So the model oftentimes doesn't have real-time information. It doesn't know any proprietary information within the enterprise. It's clear that in order to really build a compiling application on top of JNI, we need a compound AI system. Compound AI system basically is going to have multiple models across modalities, along with APIs, whether it's public APIs, internal proprietary APIs, storage systems, database systems, knowledge to work together to deliver the best answer.Swyx [00:20:07]: Are you going to offer a vector database?Lin [00:20:09]: We actually heavily partner with several big vector database providers. Which is your favorite? They are all great in different ways. But it's public information, like MongoDB is our investor. And we have been working closely with them for a while.Alessio [00:20:26]: When you say distributed inference engine, what do you mean exactly? Because when I hear your explanation, it's almost like you're centralizing a lot of the decisions through the Fireworks platform on the quality and whatnot. What do you mean distributed? It's like you have GPUs in a lot of different clusters, so you're sharding the inference across the same model.Lin [00:20:45]: So first of all, we run across multiple GPUs. But the way we distribute across multiple GPUs is unique. We don't distribute the whole model monolithically across multiple GPUs. We chop them into pieces and scale them completely differently based on what's the bottleneck. We also are distributed across regions. We have been running in North America, EMEA, and Asia. We have regional affinity to applications because latency is extremely important. We are also doing global load balancing because a lot of applications there, they quickly scale to global population. And then at that scale, different content wakes up at a different time. And you want to kind of load balancing across. So all the way, and we also have, we manage various different kinds of hardware skew from different hardware vendors. And different hardware design is best for different types of workload, whether it's long context, short context, long generation. So all these different types of workload is best fitted for different kinds of hardware skew. And then we can even distribute across different hardware for a workload. So the distribution actually is all around in the full stack.Swyx [00:22:02]: At some point, we'll show on the YouTube, the image that Ray, I think, has been working on with all the different modalities that you offer. To me, it's basically you offer the open source version of everything that OpenAI typically offers. I don't think there is. Actually, if you do text to video, you will be a superset of what OpenAI offers because they don't have Sora. Is that Mochi, by the way? Mochi. Mochi, right?Lin [00:22:27]: Mochi. And there are a few others. I will say, the interesting thing is, I think we're betting on the open source community is going to proliferate. This is literally what we're seeing. And there's amazing video generation companies. There is amazing audio companies. Like cross-border, the innovation is off the chart, and we are building on top of that. I think that's the advantage we have compared with a closed source company.Swyx [00:22:58]: I think I want to restate the value proposition of Fireworks for people who are comparing you versus a raw GPU provider like a RunPod or Lambda or anything like those, which is like you create the developer experience layer and you also make it easily scalable or serverless or as an endpoint. And then, I think for some models, you have custom kernels, but not all models.Lin [00:23:25]: Almost for all models. For all large language models, all your models, and the VRMs. Almost for all models we serve.Swyx [00:23:35]: And so that is called Fire Attention. I don't remember the speed numbers, but apparently much better than VLM, especially on a concurrency basis.Lin [00:23:44]: So Fire Attention is specific mostly for language models, but for other modalities, we'll also have a customized kernel.Swyx [00:23:51]: And I think the typical challenge for people is understanding that has value, and then there are other people who are also offering open-source models. Your mode is your ability to offer a good experience for all these customers. But if your existence is entirely reliant on people releasing nice open-source models, other people can also do the same thing.Lin [00:24:14]: So I would say we build on top of open-source model foundation. So that's the kind of foundation we build on top of. But we look at the value prop from the lens of application developers and product engineers. So they want to create new UX. So what's happening in the industry right now is people are thinking about a completely new way of designing products. And I'm talking to so many founders, it's just mind-blowing. They help me understand existing way of doing PowerPoint, existing way of coding, existing way of managing customer service. It's actually putting a box in our head. For example, PowerPoint. So PowerPoint generation is we always need to think about how to fit into my storytelling into this format of slide one after another. And I'm going to juggle through design together with what story to tell. But the most important thing is what's our storytelling lines, right? And why don't we create a space that is not limited to any format? And those kind of new product UX design combined with automated content generation through Gen AI is the new thing that many founders are doing. What are the challenges they're facing? Let's go from there. One is, again, because a lot of products built on top of Gen AI, they are consumer-personal developer facing, and they require interactive experience. It's just a kind of product experience we all get used to. And our desire is to actually get faster and faster interaction. Otherwise, nobody wants to spend time, right? And then that requires low latency. And the other thing is the nature of consumer-personal developer facing is your audience is very big. You want to scale up to product market fit quickly. But if you lose money at a small scale, you're going to bankrupt quickly. So it's actually a big contrast. I actually have product market fit, but when I scale, I scale out of my business. So that's kind of a very funny way to think about it. So then having low latency and low cost is essential for those new applications and products to survive and really become a generation company. So that's the design point for our distributed inference engine and the file optimizer. File optimizer, you can think about that as a feedback loop. The more you feed your inference workload to our inference engine, the more we help you improve quality, lower latency further, lower your cost. It basically becomes better. And we automate that because we don't want you as an app developer or product engineer to think about how to figure out all these low-level details. It's impossible because you're not trained to do that at all. You should kind of keep your focus on the product innovation. And then the compound AI, we actually feel a lot of pain as the app developers, engineers, there are so many models. Every week, there's at least a new model coming out.Swyx [00:27:09]: Tencent had a giant model this week. Yeah, yeah.Lin [00:27:13]: I saw that. I saw that.Swyx [00:27:15]: It's like $500 billion.Lin [00:27:18]: So they're like, should I keep chasing this or should I forget about it? And which model should I pick to solve what kind of sub-problem? How do I even decompose my problem into those smaller problems and fit the model into it? I have no idea. And then there are two ways to think about this design. I think I talked about that in the past. One is imperative, as in you figure out how to do it. You give developer tools to dictate how to do it. Or you build a declarative system where a developer tells what they want to do, not how. So these are completely two different designs. So the analogy I want to draw is, in the data world, the database management system is a declarative system because people use database, use SQL. SQL is a way you say, what do you want to extract out of a database? What kind of result do you want? But you don't figure out which node is going to, how many nodes you're going to run on top of, how you redefine your disk, which index you use, which project. You don't need to worry about any of those. And database management system will figure out, generate a new best plan, and execute on that. So database is declarative. And it makes it super easy. You just learn SQL, which is learn a semantic meaning of SQL, and you can use it. Imperative side is there are a lot of ETL pipelines. And people design this DAG system with triggers, with actions, and you dictate exactly what to do. And if it fails, then how to recover. So that's an imperative system. We have seen a range of systems in the ecosystem go different ways. I think there's value of both. There's value of both. I don't think one is going to subsume the other. But we are leaning more into the philosophy of the declarative system. Because from the lens of app developer and product engineer, that would be easiest for them to integrate.Swyx [00:29:07]: I understand that's also why PyTorch won as well, right? This is one of the reasons. Ease of use.Lin [00:29:14]: Focus on ease of use, and then let the system take on the hard challenges and complexities. So we follow, we extend that thinking into current system design. So another announcement is we will also announce our next declarative system is going to appear as a model that has extremely high quality. And this model is inspired by Owen's announcement for OpenAI. You should see that by the time we announce this or soon.Alessio [00:29:46]: Trained by you.Lin [00:29:47]: Yes.Alessio [00:29:48]: Is this the first model that you trained? It's not the first.Lin [00:29:52]: We actually have trained a model called FireFunction. It's a function calling model. It's our first step into compound AI system. Because function calling model can dispatch a request into multiple APIs. We have pre-baked set of APIs the model learned. You can also add additional APIs through the configuration to let model dispatch accordingly. So we have a very high quality function calling model that's already released. We have actually three versions. The latest version is very high quality. But now we take a further step that you don't even need to use function calling model. You use our new model we're going to release. It will solve a lot of problems approaching very high OpenAI quality. So I'm very excited about that.Swyx [00:30:41]: Do you have any benchmarks yet?Lin [00:30:43]: We have a benchmark. We're going to release it hopefully next week. We just put our model to LMSYS and people are guessing. Is this the next Gemini model or a MADIS model? People are guessing. That's very interesting. We're watching the Reddit discussion right now.Swyx [00:31:00]: I have to ask more questions about this. When OpenAI released o1, a lot of people asked about whether or not it's a single model or whether it's a chain of models. Noam and basically everyone on the Strawberry team was very insistent that what they did for reinforcement learning, chain of thought, cannot be replicated by a whole bunch of open source model calls. Do you think that that is wrong? Have you done the same amount of work on RL as they have or was it a different direction?Lin [00:31:29]: I think they take a very specific approach where the caliber of team is very high. So I do think they are the domain expert in doing the things they are doing. I don't think there's only one way to achieve the same goal. We're on the same direction in the sense that the quality scaling law is shifting from training to inference. For that, I fully agree with them. But we're taking a completely different approach to the problem. All of that is because, of course, we didn't train the model from scratch. All of that is because we built on the show of giants. The current model available we have access to is getting better and better. The future trend is the gap between the open source model and the co-source model. It's just going to shrink to the point there's not much difference. And then we're on the same level field. That's why I think our early investment in inference and all the work we do around balancing across quality, latency, and cost pay off because we have accumulated a lot of experience and that empowers us to release this new model that is approaching open-ended quality.Alessio [00:32:39]: I guess the question is, what do you think the gap to catch up will be? Because I think everybody agrees with open source models eventually will catch up. And I think with 4, then with Lama 3.2, 3.1, 4.5b, we close the gap. And then 0.1 just reopened the gap so much and it's unclear. Obviously, you're saying your model will have...Swyx [00:32:57]: We're closing that gap.Alessio [00:32:58]: But you think in the future, it's going to be months?Lin [00:33:02]: So here's the thing that's happened. There's public benchmark. It is what it is. But in reality, open source models in certain dimensions are already on par or beat closed source models. So for example, in the coding space, open source models are really, really good. And in function calling, file function is also really, really good. So it's all a matter of whether you build one model to solve all the problems and you want to be the best of solving all the problems, or in the open source domain, it's going to specialize. All these different model builders specialize in certain narrow area. And it's logical that they can be really, really good in that very narrow area. And that's our prediction is with specialization, there will be a lot of expert models really, really good and even better than one-size-fits-all closed source models.Swyx [00:33:55]: I think this is the core debate that I am still not 100% either way on in terms of compound AI versus normal AI. Because you're basically fighting the bitter lesson.Lin [00:34:09]: Look at the human society, right? We specialize. And you feel really good about someone specializing doing something really well, right? And that's how our way evolved from ancient times. We're all journalists. We do everything. Now we heavily specialize in different domains. So my prediction is in the AI model space, it will happen also. Except for the bitter lesson.Swyx [00:34:30]: You get short-term gains by having specialists, domain specialists, and then someone just needs to train like a 10x bigger model on 10x more inference, 10x more data, 10x more model perhaps, whatever the current scaling law is. And then it supersedes all the individual models because of some generalized intelligence slash world knowledge. I think that is the core insight of the GPTs, the GPT-123 networks. Right.Lin [00:34:56]: But the training scaling law is because you have an increasing amount of data to train from. And you can do a lot of compute. So I think on the data side, we're approaching the limit. And the only data to increase that is synthetic generated data. And then there's like what is the secret sauce there, right? Because if you have a very good large model, you can generate very good synthetic data and then continue to improve quality. So that's why I think in OpenAI, they are shifting from the training scaling law intoSwyx [00:35:25]: inference scaling law.Lin [00:35:25]: And it's the test time and all this. So I definitely believe that's the future direction. And that's where we are really good at, doing inference.Swyx [00:35:34]: A couple of questions on that. Are you planning to share your reasoning choices?Lin [00:35:39]: That's a very good question. We are still debating.Swyx [00:35:43]: Yeah.Lin [00:35:45]: We're still debating.Swyx [00:35:46]: I would say, for example, it's interesting that, for example, SweetBench. If you want to be considered for ranking, you have to submit your reasoning choices. And that has actually disqualified some of our past guests. Cosign was doing well on SweetBench, but they didn't want to leak those results. So that's why you don't see O1 preview on SweetBench, because they don't submit their reasoning choices. And obviously, it's IP. But also, if you're going to be more open, then that's one way to be more open. So your model is not going to be open source, right? It's going to be an endpoint that you provide. Okay, cool. And then pricing, also the same as OpenAI, just kind of based on...Lin [00:36:25]: Yeah, this is... I don't have, actually, information. Everything is going so fast, we haven't even thought about that yet. Yeah, I should be more prepared.Swyx [00:36:33]: I mean, this is live. You know, it's nice to just talk about it as it goes live. Any other things that you want feedback on or you're thinking through? It's kind of nice to just talk about something when it's not decided yet. About this new model. It's going to be exciting. It's going to generate a lot of buzz. Right.Lin [00:36:51]: I'm very excited to see how people are going to use this model. So there's already a Reddit discussion about it. And people are asking very deep, mathematical questions. And since the model got it right, surprising. And internally, we're also asking the model to generate what is AGI. And it generates a very complicated DAG thinking process. So we're having a lot of fun testing this internally. But I'm more curious, how will people use it? What kind of application they're going to try and test on it? And that's where we really like to hear feedback from the community. And also feedback to us. What works out well? What doesn't work out well? What works out well, but surprising them? And what kind of thing they think we should improve on? And those kind of feedback will be tremendously helpful.Swyx [00:37:44]: Yeah. So I've been a production user of Preview and Mini since launch. I would say they're very, very obvious jobs in quality. So much so that they made clods on it. And they made the previous state-of-the-art look bad. It's really that stark, that difference. The number one thing, just feedback or feature requests, is people want control on the budget. Because right now, in 0.1, it kind of decides its own thinking budget. But sometimes you know how hard the problem is. And you want to actually tell the model, spend two minutes on this. Or spend some dollar amount. Maybe it's time you miss dollars. I don't know what the budget is. That makes a lot of sense.Lin [00:38:27]: So we actually thought about that requirement. And it should be, at some point, we need to support that. Not initially. But that makes a lot of sense.Swyx [00:38:38]: Okay. So that was a fascinating overview of just the things that you're working on. First of all, I realized that... I don't know if I've ever given you this feedback. But I think you guys are one of the reasons I agreed to advise you. Because I think when you first met me, I was kind of dubious. I was like... Who are you? There's Replicate. There's Together. There's Laptop. There's a whole bunch of other players. You're in very, very competitive fields. Like, why will you win? And the reason I actually changed my mind was I saw you guys shipping. I think your surface area is very big. The team is not that big. No. We're only 40 people. Yeah. And now here you are trying to compete with OpenAI and everyone else. What is the secret?Lin [00:39:21]: I think the team. The team is the secret.Swyx [00:39:23]: Oh boy. So there's no thing I can just copy. You just... No.Lin [00:39:30]: I think we all come from a very aligned culture. Because most of our team came from meta.Swyx [00:39:38]: Yeah.Lin [00:39:38]: And many startups. So we really believe in results. One is result. And second is customer. We're very customer obsessed. And we don't want to drive adoption for the sake of adoption. We really want to make sure we understand we are delivering a lot of business values to the customer. And we really value their feedback. So we would wake up midnight and deploy some model for them. Shuffle some capacity for them. And yeah, over the weekend, no brainer.Swyx [00:40:15]: So yeah.Lin [00:40:15]: So that's just how we work as a team. And the caliber of the team is really, really high as well. So as plug-in, we're hiring. We're expanding very, very fast. So if we are passionate about working on the most cutting-edge technology in the general space, come talk with us. Yeah.Swyx [00:40:38]: Let's talk a little bit about that customer journey. I think one of your more famous customers is Cursor. We were the first podcast to have Cursor on. And then obviously since then, they have blown up. Cause and effect are not related. But you guys especially worked on a fast supply model where you were one of the first people to work on speculative decoding in a production setting. Maybe just talk about what was the behind the scenes of working with Cursor?Lin [00:41:03]: I will say Cursor is a very, very unique team. I think the unique part is the team has very high technical caliber. There's no question about it. But they have decided, although many companies building coding co-pilot, they will say, I'm going to build a whole entire stack because I can. And they are unique in the sense they seek partnership. Not because they cannot. They're fully capable, but they know where to focus. That to me is amazing. And of course, they want to find a bypass partner. So we spent some time working together. They are pushing us very aggressively because for them to deliver high caliber product experience, they need the latency. They need the interactive, but also high quality at the same time. So actually, we expanded our product feature quite a lot as we support Cursor. And they are growing so fast. And we massively scaled quickly across multiple regions. And we developed a pretty high intense inference stack, almost like similar to what we do for Meta. I think that's a very, very interesting engagement. And through that, there's a lot of trust being built. They realize, hey, this is a team they can really partner with. And they can go big with. That comes back to, hey, we're really customer obsessed. And all the engineers working with them, there's just enormous amount of time syncing together with them and discussing. And we're not big on meetings, but we are like stack channel always on. Yeah, so you almost feel like working as one team. So I think that's really highlighted.Swyx [00:42:38]: Yeah. For those who don't know, so basically Cursor is a VS Code fork. But most of the time, people will be using closed models. Like I actually use a lot of SONET. So you're not involved there, right? It's not like you host SONET or you have any partnership with it. You're involved where Cursor is small, or like their house brand models are concerned, right?Lin [00:42:58]: I don't know what I can say, but the things they haven't said.Swyx [00:43:04]: Very obviously, the drop down is 4.0, but in Cursor, right? So I assume that the Cursor side is the Fireworks side. And then the other side, they're calling out the other. Just kind of curious. And then, do you see any more opportunity on the... You know, I think you made a big splash with 1,000 tokens per second. That was because of speculative decoding. Is there more to push there?Lin [00:43:25]: We push a lot. Actually, when I mentioned Fire Optimizer, right? So as in, we have a unique automation stack that is one size fits one. We actually deployed to Cursor earlier on. Basically optimized for their specific workload. And that's a lot of juice to extract out of there. And we see success in that product. It actually can be widely adopted. So that's why we started a separate product line called Fire Optimizer. So speculative decoding is just one approach. And speculative decoding here is not static. We actually wrote a blog post about it. There's so many different ways to do speculative decoding. You can pair a small model with a large model in the same model family. Or you can have equal pads and so on. There are different trade-offs which approach you take. It really depends on your workload. And then with your workload, we can align the Eagle heads or Medusa heads or a small big model pair much better to extract the best latency reduction. So all of that is part of the Fire Optimizer offering.Alessio [00:44:23]: I know you mentioned some of the other inference providers. I think the other question that people always have is around benchmarks. So you get different performance on different platforms. How should people think about... People are like, hey, Lama 3.2 is X on MMLU. But maybe using speculative decoding, you go down a different path. Maybe some providers run a quantized model. How should people think about how much they should care about how you're actually running the model? What's the delta between all the magic that you do and what a raw model...Lin [00:44:57]: Okay, so there are two big development cycles. One is experimentation, where they need fast iteration. They don't want to think about quality, and they just want to experiment with product experience and so on. So that's one. And then it looks good, and they want to post-product market with scaling. And the quality is really important. And latency and all the other things are becoming important. During the experimentation phase, it's just pick a good model. Don't worry about anything else. Make sure you even generate the right solution to your product. And that's the focus. And then post-product market fit, then that's kind of the three-dimensional optimization curve start to kick in across quality, latency, cost, where you should land. And to me, it's purely a product decision. To many products, if you choose a lower quality, but better speed and lower cost, but it doesn't make a difference to the product experience, then you should do it. So that's why I think inference is part of the validation. The validation doesn't stop at offline eval. The validation will go through A-B testing, through inference. And that's where we offer various different configurations for you to test which is the best setting. So this is the traditional product evaluation. So product evaluation should also include your new model versions and different model setup into the consideration.Swyx [00:46:22]: I want to specifically talk about what happens a few months ago with some of your major competitors. I mean, all of this is public. What is your take on what happens? And maybe you want to set the record straight on how Fireworks does quantization because I think a lot of people may have outdated perceptions or they didn't read the clarification post on your approach to quantization.Lin [00:46:44]: First of all, it's always a surprise to us that without any notice, we got called out.Swyx [00:46:51]: Specifically by name, which is normally not what...Lin [00:46:54]: Yeah, in a public post. And have certain interpretation of our quality. So I was really surprised. And it's not a good way to compete, right? We want to compete fairly. And oftentimes when one vendor gives out results, the interpretation of another vendor is always extremely biased. So we actually refrain ourselves to do any of those. And we happily partner with third parties to do the most fair evaluation. So we're very surprised. And we don't think that's a good way to figure out the competition landscape. So then we react. I think when it comes to quantization, the interpretation, we wrote actually a very thorough blog post. Because again, no one says it's all. We have various different quantization schemes. We can quantize very different parts of the model from ways to activation to cross-TPU communication. They can use different quantization schemes or consistent across the board. And again, it's a trade-off. It's a trade-off across this three-dimensional quality, latency, and cost. And for our customer, we actually let them find the best optimized point. And we have a very thorough evaluation process to pick that point. But for self-serve, there's only one point to pick. There's no customization available. So of course, it depends on what we talk with many customers. We have to pick one point. And I think the end result, like AA published, later on AA published a quality measure. And we actually looked really good. So that's why what I mean is, I will leave the evaluation of quality or performance to third party and work with them to find the most fair benchmark. And I think that's a good approach, a methodology. But I'm not a part of an approach of calling out specific namesSwyx [00:48:55]: and critique other competitors in a very biased way. Databases happens as well. I think you're the more politically correct one. And then Dima is the more... Something like this. It's you on Twitter.Lin [00:49:11]: It's like the Russian... We partner. We play different roles.Swyx [00:49:20]: Another one that I wanted to... I'm just the last one on the competition side. There's a perception of price wars in hosting open source models. And we talked about the competitiveness in the market. Do you aim to make margin on open source models? Oh, absolutely, yes.Lin [00:49:38]: So, but I think it really... When we think about pricing, it's really need to coordinate with the value we're delivering. If the value is limited, or there are a lot of people delivering the same value, there's no differentiation. There's only one way to go. It's going down. So through competition. If I take a big step back, there is pricing from... We're more compared with close model providers, APIs, right? The close model provider, their cost structure is even more interesting because we don't bear any training costs. And we focus on inference optimization, and that's kind of where we continue to add a lot of product value. So that's how we think about product. But for the close source API provider, model provider, they bear a lot of training costs. And they need to amortize the training costs into the inference. So that created very interesting dynamics of, yeah, if we match pricing there, and I think how they are going to make money is very, very interesting.Swyx [00:50:37]: So for listeners, opening eyes 2024, $4 billion in revenue, $3 billion in compute training, $2 billion in compute inference, $1 billion in research compute amortization, and $700 million in salaries. So that is like...Swyx [00:50:59]: I mean, a lot of R&D.Lin [00:51:01]: Yeah, so I think matter is basically like, make it zero. So that's a very, very interesting dynamics we're operating within. But coming back to inference, so we are, again, as I mentioned, our product is, we are a platform. We're not just a single model as a service provider as many other inference providers, like they're providing a single model. We have our optimizer to highly customize towards your inference workload. We have a compound AI system where significantly simplify your interaction to high quality and low latency, low cost. So those are all very different from other providers.Alessio [00:51:38]: What do people not know about the work that you do? I guess like people are like, okay, Fireworks, you run model very quickly. You have the function model. Is there any kind of like underrated part of Fireworks that more people should try?Lin [00:51:51]: Yeah, actually, one user post on x.com, he mentioned, oh, actually, Fireworks can allow me to upload the LoRa adapter to the service model at the same cost and use it at same cost. Nobody has provided that. That's because we have a very special, like we rolled out multi-LoRa last year, actually. And we actually have this function for a long time. And many people has been using it, but it's not well known that, oh, if you find your model, you don't need to use on demand. If you find your model is LoRa, you can upload your LoRa adapter and we deploy it as if it's a new model. And then you use, you get your endpoint and you can use that directly, but at the same cost as the base model. So I'm happy that user is marketing it for us. He discovered that feature, but we have that for last year. So I think to feedback to me is, we have a lot of very, very good features, as Sean just mentioned. I'm the advisor to the company,Swyx [00:52:57]: and I didn't know that you had speculative decoding released.Lin [00:53:02]: We have prompt catching way back last year also. We have many, yeah. So I think that is one of the underrated feature. And if they're developers, you are using our self-serve platform, please try it out.Swyx [00:53:16]: The LoRa thing is interesting because I think you also, the reason people add additional costs to it, it's not because they feel like charging people. Normally in normal LoRa serving setups, there is a cost to dedicating, loading those weights and dedicating a machine to that inference. How come you can't avoid it?Lin [00:53:36]: Yeah, so this is kind of our technique called multi-LoRa. So we basically have many LoRa adapters share the same base model. And basically we significantly reduce the memory footprint of serving. And the one base model can sustain a hundred to a thousand LoRa adapters. And then basically all these different LoRa adapters can share the same, like direct the same traffic to the same base model where base model is dominating the cost. So that's how we advertise that way. And that's how we can manage the tokens per dollar, million token pricing, the same as base model.Swyx [00:54:13]: Awesome. Is there anything that you think you want to request from the community or you're looking for model-wise or tooling-wise that you think like someone should be working on in this?Lin [00:54:23]: Yeah, so we really want to get a lot of feedback from the application developers who are starting to build on JNN or on the already adopted or starting about thinking about new use cases and so on to try out Fireworks first. And let us know what works out really well for you and what is your wishlist and what sucks, right? So what is not working out for you and we would like to continue to improve. And for our new product launches, typically we want to launch to a small group of people. Usually we launch on our Discord first to have a set of people use that first. So please join our Discord channel. We have a lot of communication going on there. Again, you can also give us feedback. We'll have a starting office hour for you to directly talk with our DevRel and engineers to exchange more long notes.Alessio [00:55:17]: And you're hiring across the board?Lin [00:55:18]: We're hiring across the board. We're hiring front-end engineers, infrastructure cloud, infrastructure engineers, back-end system optimization engineers, applied researchers, like researchers who have done post-training, who have done a lot of fine-tuning and so on.Swyx [00:55:34]: That's it. Thank you. Thanks for having us. Get full access to Latent Space at www.latent.space/subscribe

This week on the podcast, we're catching up with brother-and-sister team Julian and Dima Papasian, who started as rookies at NHRL last year, and climbed the hill faster than most—Julian taking second place at September NHRL, and Dima winning a Golden Dumpster in October. What sets their bots, Mako and TurboFiend apart from the competition? We learn it all (and more) on this episode!   Follow us on Facebook: facebook.com/behindthebots Rate and review us on Apple Podcasts Tell a friend about the show; we really appreciate your support!

Send us a textRussian director Dima Barch comes on the show to discussing his budding career which has involved two short films that have both been featured at festivals such as Beyond Film Festival, Panic Fest and Salem Horror Fest where he was the recipient of the George A. Romero Film Fellowship. Dima talks about his difficulty being a refuge from Russia, surviving in Los Angeles, and the mental and physical pressures of following your dreams. The Power of Strike will be featured in Screambox's short film series Bloody Bites Season 11 on Friday, October 18th.Follow us on Social Media: @pvdhorror Instagram, Twitter, TikTok, FacebookWatch us on YouTube: https://www.youtube.com/channel/UCOyloOb0puVCXDjJ_ZiPYqgVisit our website: https://pvdhorror.com/Special thanks to John Brennan for the intro and outro music. Be sure to find his music on social media at @badtechno or the following:https://johnbrennan.bandcamp.com