Podcasts about SFC

professorjrod@gmail.comWindows troubleshooting can feel like guesswork, especially when preparing for your CompTIA exam. In this episode, we delve into the inner workings of the Windows OS and introduce a practical decision flow that reduces guesswork and strengthens your tech exam prep. Learn how to transform vague issues into precise, testable hypotheses, leading to fewer reinstalls and more reliable fixes. This approach not only builds your IT skills development but also prepares you for real-world challenges in technology education. Perfect for anyone studying for IT certifications or looking to sharpen their troubleshooting techniques, join us as we uncover strategies to succeed in your CompTIA study guide journey.We dig into Device Manager as a live negotiation table between hardware and the OS, showing why disabling a suspect device is a powerful experiment that reduces variables and confirms root cause. Storage gets the same rigor: Disk Management looks simple but enforces geometry, not wishes, and we explain why GPT vs MBR matters less than understanding adjacent unallocated space and the risks of rushing. When precision matters most, DiskPart demands intent and verification at every step—list, select, confirm, proceed—because there's no undo.Permissions emerge as the hidden culprit behind many “bugs.” With Whoami, group membership, and elevation in focus, identity becomes observable and solvable. On the network side, we replace “is it down?” with “how far does connectivity go?”—a layered method that isolates DNS failures when local resources work but websites won't resolve. We make the case for DHCP to reduce human error, and for treating the firewall as evidence, not an obstacle, by aligning apps, ports, and profiles instead of flipping switches.Throughout, the command line earns trust not for nostalgia, but for honesty. SFC validates OS integrity so you can stop blaming the kernel, while CHKDSK corrects map-to-disk mismatches before you condemn hardware. We close with a repeatable walkthrough: observe first, read Task Manager patterns, validate hardware and identity, test network boundaries, then change one variable at a time. If this approach helps you think clearer and fix faster, subscribe, share with a teammate, and leave a review to help others troubleshoot with confidence.Support the showArt By Sarah/DesmondMusic by Joakim KarudLittle chacha ProductionsJuan Rodriguez can be reached atTikTok @ProfessorJrodProfessorJRod@gmail.com@Prof_JRodInstagram ProfessorJRod

This week, we're talking accounting... while not giving any financial advice. Then we talk QEMU and virtualization, the Linux Steam Survey, and the CachyOS server. Then, Torvalds isn't super happy with the SFC lawsuit, Linux is headed to space, and Phoenix attempts to resurrect the ashes of X Server. You can find the show notes at https://bit.ly/49qpcbN and happy new year! Host: Jonathan Bennett Co-Hosts: Ken McDonald and Rob Campbell Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: bitwarden.com/twit

This week, we're talking accounting... while not giving any financial advice. Then we talk QEMU and virtualization, the Linux Steam Survey, and the CachyOS server. Then, Torvalds isn't super happy with the SFC lawsuit, Linux is headed to space, and Phoenix attempts to resurrect the ashes of X Server. You can find the show notes at https://bit.ly/49qpcbN and happy new year! Host: Jonathan Bennett Co-Hosts: Ken McDonald and Rob Campbell Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: bitwarden.com/twit

Regarding a recent ruling, in SFC v. Vizio, Karen Sandler (SFC Director, former GNOME Director), responds to the Linux creator by saying "maybe you didn't read".More from The Lunduke Journal:https://lunduke.com/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit lunduke.substack.com/subscribe

Au travers d'une fatigue et d'un épuisement incommensurable, Pietro vit avec le paradoxe cruel de la maladie chronique et du handicap invisible : être privé de tant de choses, sans que rien ne paraisse à l'extérieur.Le corps de Pietro, c'est comme un vieux téléphone que l'on branche à une prise

It's growth investing, just not as we knew it. Technology is disrupting the traditional signals for growth companies, such as revenue acceleration or addressable market expansion. In this episode, Sean Kenney sits down with MFS portfolio manager Brad Mak to explore what the AI revolution means for the future of growth companies and the potential for bubbles. They also cover current opportunities underappreciated by the market and look forward to what 2026 has in store. Listen in for the signals to help you identify where growth investing is heading.         Distributed by: U.S. – MFS Institutional Advisors, Inc. ("MFSI"), MFS Investment Management and MFS Fund Distributors, Inc., Member SIPC; Latin America – MFS International Ltd.; Canada – MFS Investment Management Canada Limited.; Note to UK and Switzerland readers: Issued in the UK and Switzerland by MFS International (U.K.) Limited ("MIL UK"), a private limited company registered in England and Wales with the company number 03062718, and authorised and regulated in the conduct of investment business by the UK Financial Conduct Authority. MIL UK, an indirect subsidiary of MFS®, has its registered office at One Carter Lane, London, EC4V 5ER.;  Note to Europe (ex UK and Switzerland) readers: Issued in Europe by MFS Investment Management (Lux) S.à r.l. (MFS Lux) – authorized under Luxembourg law as a management company for Funds domiciled in Luxembourg and which both provide products and investment services to institutional investors and is registered office is at S.a r.l. 4 Rue Albert Borschette, Luxembourg L-1246. Tel: 352 2826 12800.  This material shall not be circulated or distributed to any person other than to professional investors (as permitted by local regulations) and should not be relied upon or distributed to persons where such reliance or distribution would be contrary to local regulation; Singapore – MFS International Singapore Pte. Ltd. (CRN 201228809M); Australia/New Zealand - MFS International Australia Pty Ltd ("MFS Australia") (ABN 68 607 579 537) holds an Australian financial services licence number 485343. MFS Australia is regulated by the Australian Securities and Investments Commission.; Hong Kong - MFS International (Hong Kong) Limited ("MIL HK"), a private limited company licensed and regulated by the Hong Kong Securities and Futures Commission (the "SFC"). MIL HK is approved to engage in dealing in securities and asset management regulated activities and may provide certain investment services to "professional investors" as defined in the Securities and Futures Ordinance ("SFO").; For Professional Investors in China – MFS Financial Management Consulting (Shanghai) Co., Ltd. 2801-12, 28th Floor, 100 Century Avenue, Shanghai World Financial Center, Shanghai Pilot Free Trade Zone, 200120, China, a Chinese limited liability company registered to provide financial management consulting services.; Japan - MFS Investment Management K.K., is registered as a Financial Instruments Business Operator, Kanto Local Finance Bureau (FIBO) No.312, a member of the Investment Trust Association, Japan and the Japan Investment Advisers Association. As fees to be borne by investors vary depending upon circumstances such as products, services, investment period and market conditions, the total amount nor the calculation methods cannot be disclosed in advance. All investments involve risks, including market fluctuation and investors may lose the principal amount invested. Investors should obtain and read the prospectus and/or document set forth in Article 37-3 of Financial Instruments and Exchange Act carefully before making the investments. For readers in Saudi Arabia, Kuwait, Oman, and UAE (excluding the DIFC and ADGM). In Qatar strictly for sophisticated investors and high net worth individuals only. In Bahrain, for sophisticated institutions only: The information contained in this document is intended strictly for professional investors. The information contained in this document, does not constitute and should not be construed as an offer of, invitation or proposal to make an offer for, recommendation to apply for or an opinion or guidance on a financial product, service and/or strategy. Whilst great care has been taken to ensure that the information contained in this document is accurate, no responsibility can be accepted for any errors, mistakes or omissions or for any action taken in reliance thereon. You may only reproduce, circulate and use this document (or any part of it) with the consent of MFS international U.K. Ltd ("MIL UK"). The information contained in this document is for information purposes only. It is not intended for and should not be distributed to, or relied upon by, members of the public. The information contained in this document, may contain statements that are not purely historical in nature but are “forward-looking statements”. These include, amongst other things, projections, forecasts or estimates of income. These forward-looking statements are based upon certain assumptions, some of which are described in other relevant documents or materials. If you do not understand the contents of this document, you should consult an authorised financial adviser. Please note that any materials sent by the issuer (MIL UK) have been sent electronically from offshore. South Africa - This document, and the information contained is not intended and does not constitute, a public offer of securities in South Africa and accordingly should not be construed as such. This document is not for general circulation to the public in South Africa. This document has not been approved by the Financial Sector Conduct Authority and neither MFS International (U.K.) Limited nor its funds are registered for public sale in South Africa.  

In Episode 75, our host, Captain Ricky Wheeler, talks with Spencer Johnson, Captain of the 65' Paul Mann FREEBIRD based out of Texas about the stellar billfishing the had this season in the Gulf, fishing the Gulf tournaments, and competing in the SFC throughout the season to make it to the finals in Cabo where they took 1st Place to win the SFC for the year.To fish with our host, Captain Ricky Wheeler, on his 60' Sportfish EUPHORIA out of Atlantic City, NJ for Tuna, Marlin, Swordfish, Mahi June-November and Black Sea bass and Striped Bass November-December, go to: https://www.saltwatereuphoria.com/newjerseyfishingIf you would like our host, Ricky Wheeler, to help you sell your boat/yacht or help you with searching for and buying a boat/yacht, please email: RickyWheeler@UnitedYacht.comSaltwater Euphoria Podcast Sponsors:+Saltwater Euphoria - https://www.saltwatereuphoria.com/+Euphoria Sportfishing - https://www.euphoriasportfishing.com/For online fishing courses, go to our website Courses.SaltwaterEuphoria.comFollow the following on Instagram: CaptainRickyWheeler: @CaptainRickyWheeler Saltwater Euphoria: @SaltwaterEuphoria Euphoria Sportfishing: @EuphoriaSportfishingDean Comberbach: @DeanComberbachIf you like this podcast, please be sure to click that FOLLOW button and also spread the word by sharing this episode with your friends or whatever social channels you are on and/or leaving a great review.  We appreciate your support.

Parce que la confiance dépasse la frontière des écrans, Chloé a confié à mon micro des expériences qu'elle n'avait encore jamais partagées jusque-là

Captain Landon Bell has been on fire this season. Sitting at number one in the Gulf in the SFC with over $1.2 million in winnings, he joins Mark in Cabo to break down what's fueling the run. They get into the transition from Blake Bridges to Landon at the helm of Southern Charm, how Greg and Ron built a program that stays on the fish, and what it feels like to carry that target from tournament to tournament.They talk through the dangers of the Mongo, including the cheek-splitting moment that could've gone way worse, the release of a monster fish that would've cashed big, and the legendary Waffle House skillet that somehow became both a good-luck charm and a tattoo. Landin opens up about the bets, the banter, and the culture that keeps their team sharp.He closes with what comes next: deer season, family time, and getting the boat ready to run it back next year.TC Renegades AC Professional Angling Club:   / tcrenegadesac  SUPPORT OUR SPONSORSBloody Battery: https://www.bloodybattery.comShady Rays: https://www.shadyrays.com (use code SCIENCE for 35% off)E-Sea Rider Marine Bean Bags: https://www.eseaerider.comREEL IN SOME MERCHShop official Science of Fishing gear: https://www.thescienceoffishing.com/m...JOIN THE COMMUNITYQuestions, guest requests, or ideas?Email Mark: markfarag@thescienceoffishing.comFOLLOW SCIENCE OF FISHINGInstagram:   / scienceoffishing  TikTok:   / scienceoffishing  Facebook:   / scienceoffishing  Twitter/X:   / scienceoffish  

Larry "Scott" Teakell, a native Texan, joined the U.S. Army in 1995. He served as a medic and had three tours in Iraq, one in Bosnia and Macedonia. In July 2007 in Iraq, SSgt Teakell put out a fuel fire that covered Spc. Heredia and was awarded theSoldier's Medal, the highest medal you can earn for heroism in non-combat. Teakell talks about being a medic and the Strong Star Training Initiative program at Fort Hood. He retired as an SFC in 2015 and began forging knives, and became the founder ofJunkyard Tactical.

Mark sits down with Dusty, owner-operator of the 80-foot Viking Surf Bum and leader of one of the most talked-about all-female crews in big-game fishing. Dusty and her team ran hard this season, making the long push from Palm Beach through the Bahamas and up the eastern seaboard to Ocean City. Along the way, they built real momentum, earned respect inside the SFC, and showed that an all-lady team can hang with anybody on the water.In this episode, Dusty breaks down how she got into Fishing, how the crew came together, what it's like fishing against top teams, and why she's committed to helping more women step into the sport. She walks through the learning curve, the long runs, the dock-party culture, and the friendships that built this season into her best one yet.Whether you follow the SFC, love marlin stories, or just enjoy seeing people chase something they care about, this is a good one. Check out the New York Granders and the Surf Bum crew as they roll into the offseason and start stacking fish for next year.Check out the New York Granders:   / nygranders  SUPPORT OUR SPONSORSBloody Battery: https://www.bloodybattery.comShady Rays: https://www.shadyrays.com (use code SCIENCE for 35% off)E-Sea Rider Marine Bean Bags: https://www.eseaerider.comREEL IN SOME MERCHShop official Science of Fishing gear: https://www.thescienceoffishing.com/m...JOIN THE COMMUNITYQuestions, guest requests, or ideas?Email Mark: markfarag@thescienceoffishing.comFOLLOW SCIENCE OF FISHINGInstagram:   / scienceoffishing  TikTok:   / scienceoffishing  Facebook:   / scienceoffishing  Twitter/X:   / scienceoffish  

Episode 81 with Donald Day and Philippa Allen

Nataša Bučar, direktorica Slovenskega filmskega centra SFC, edine filmske institucije v Evropi, ki organizira festival s pregledom domače produkcije. Trenutno imamo v produkciji in postprodukciji osem do enajst celovečernih filmov, gre za mlade ali pa že uveljavljene avtorje, eden od najzanimivejših sodelovanj je film Mila Marija, v režiji Andrine Mračnikar, prva velika slovensko avstrijska koprodukcija, zgodba o koroških Slovencih. Filmske projekte pripravljajo tudi: Janez Burger, Urša Menart, Luka Marčetič, Darko Simko in mnogi drugi. Vsak film zase je svoj prototip. S filmi se ne da delati po nekem industrijskem modelu, odvisno je od selektorjev, trenutka v zgodovini itd. A kontinuiteta bo, ker se nam obeta veliko, tudi novih izrazov, prihajajo avtorji z zanimivimi temami. Nataša Bučar Prav v letu, ko slovenski film ali posamezni ustvarjalci v svetu doživljajo številna najvišja priznanja, bosta letos med častnimi gosti festivala tudi Nicoletta Romeo, italijanska filmska kuratorka in programska direktorica Tržaškega filmskega festivala ter direktor Evropske filmske akademije (EFA) Matthijs Wouter Knol, ki bo v petek, 24.10.25. na Prvomajskem trgu v Piranu odkril obeležje Evropske filmske dediščine EFA.. Gre za prvo obeležje te vrste v Sloveniji, ki Piranski trg postavlja na zemljevid najpomembnejših filmskih lokacij v Evropi.

Treaty Talk | 353 | Hannon retires; Boylan and Sheehan on county glory; SFC knockout's and more. In Association with Limerick Motor Centre. #SportLK

Eddie O'Sullivan and Paul look back on the senior and intermediate football championship quarter-finals. Running order: SFC quarter-finals, SFC relegation final, IFC quarter-finals, IFC relegation semi-finals and JFCIf you have any questions or thoughts for upcoming podcasts, email the maroonwhitepod@gmail.com.This Podcast is brought to you by Hoare Chartered Accountants. Hoare Chartered Accountants based in Galway City are a leading provider of Audit, Accountancy and Taxation services.. For more information, visit their website on www.hoarecharteredaccountants.ie

FOOTBALL: Corofin manager Gary Delaney with Galway Bay FM's Ollie Turner after their SFC quarter-final victory over Dunmore MacHales

FOOTBALL: Salthill-Knocknacarra 5-15 St. James' 0-17 (SFC quarter-final match report with Galway Bay FM's Jonathan Higgins)

FOOTBALL: Salthill-Knocknacarra's Cathal Sweeney with Galway Bay FM's Jonathan Higgins after their SFC quarter-final win over St. James'

FOOTBALL: Tuam Stars manager David Donnellan with Galway Bay FM's Tommy Devane after their SFC quarter-final win over Killannin

Leitir Móir manager Alan Murphy and Mícheál Breathnach manager Paddy Moran joined Paul to preview the quarter-finals in Senior and Intermediate Football Championships, the SFC relegation semi-finals and IFC relegation semi-finals. If you have any questions or thoughts for upcoming podcasts, email the maroonwhitepod@gmail.com.This Podcast is brought to you by Hoare Chartered Accountants. Hoare Chartered Accountants based in Galway City are a leading provider of Audit, Accountancy and Taxation services.. For more information, visit their website on www.hoarecharteredaccountants.ie

Kevin Johnson sat down with Paul to speak about his new role as Galway U20 football manager and they also look back on the senior and intermediate football championship preliminary quarter-finals swell as the SFC relegation semi-finals. If you have any questions or thoughts for upcoming podcasts, email the maroonwhitepod@gmail.com.This Podcast is brought to you by Hoare Chartered Accountants. Hoare Chartered Accountants based in Galway City are a leading provider of Audit, Accountancy and Taxation services.. For more information, visit their website on www.hoarecharteredaccountants.ie

Treaty Talk | 346 | SFC moving week |SHC deciding week & plenty more #SportLK

The software sector is evolving fast—and not always in ways investors expect. From the rise of AI-native startups to the shifting economics of SaaS, the rules of the game are being rewritten. In this episode, Sean Kenney sits down with MFS software analyst Matt Doherty to unpack what really drives long-term winners in software. They explore how to think about moats in a world of falling barriers to entry, why valuation is more art than science in this sector, and how AI is both a disruptor and an accelerant. Whether you're wondering if SaaS is dead or just trying to make sense of the next wave of innovation, this conversation will help you cut through the noise and invest with clarity.   The views expressed are those of the speaker and are subject to change at any time. These views are for informational purposes only and should not be relied on as a recommendation to purchase any security or as an offer of securities or investment advice. No forecast can be guaranteed. Past performance is no guarantee of future results.   Unless otherwise indicated, logos and product and service names are trademarks of MFS® and its affiliates and may be registered in certain countries. Distributed by: U.S. – MFS Institutional Advisors, Inc. ("MFSI"), MFS Investment Management and MFS Fund Distributors, Inc., Member SIPC.; Latin America – MFS International Ltd.; Canada – MFS Investment Management Canada Limited. No securities commission or similar regulatory authority in Canada has reviewed this communication; Note to UK and Switzerland readers: Issued in the UK and Switzerland by MFS International (U.K.) Limited ("MIL UK"), a private limited company registered in England and Wales with the company number 03062718, and authorised and regulated in the conduct of investment business by the UK Financial Conduct Authority. MIL UK, an indirect subsidiary of MFS®, has its registered office at One Carter Lane, London, EC4V 5ER.  Note to Europe (ex UK and Switzerland) readers: Issued in Europe by MFS Investment Management (Lux) S.à r.l. (MFS Lux) – authorized under Luxembourg law as a management company for Funds domiciled in Luxembourg and which both provide products and investment services to institutional investors and is registered office is at S.a r.l. 4 Rue Albert Borschette, Luxembourg L-1246. Tel: 352 2826 12800. For readers in Saudi Arabia, Kuwait, Oman, and UAE (excluding the DIFC and ADGM) and Bahrain readers. In Qatar strictly for sophisticated investors and high net worth individuals only. In Bahrain, for sophisticated institutions only: The information contained in this document is intended strictly for professional investors. The information contained in this document, does not constitute and should not be construed as an offer of, invitation or proposal to make an offer for, recommendation to apply for or an opinion or guidance on a financial product, service and/or strategy. Whilst great care has been taken to ensure that the information contained in this document is accurate, no responsibility can be accepted for any errors, mistakes or omissions or for any action taken in reliance thereon. You may only reproduce, circulate and use this document (or any part of it) with the consent of MFS international U.K. Ltd ("MIL UK"). The information contained in this document is for information purposes only. It is not intended for and should not be distributed to, or relied upon by, members of the public. The information contained in this document, may contain statements that are not purely historical in nature but are “forward-looking statements”. These include, amongst other things, projections, forecasts or estimates of income. These forward-looking statements are based upon certain assumptions, some of which are described in other relevant documents or materials. If you do not understand the contents of this document, you should consult an authorised financial adviser. Please note that any materials sent by the issuer (MIL UK) have been sent electronically from offshore. South Africa: This document, and the information contained is not intended and does not constitute, a public offer of securities in South Africa and accordingly should not be construed as such. This document is not for general circulation to the public in South Africa. This document has not been approved by the Financial Sector Conduct Authority and neither MFS International (U.K.) Limited nor its funds are registered for public sale in South Africa. This material shall not be circulated or distributed to any person other than to professional investors (as permitted by local regulations) and should not be relied upon or distributed to persons where such reliance or distribution would be contrary to local regulation; Singapore – MFS International Singapore Pte. Ltd. (CRN 201228809M); Australia/New Zealand - MFS International Australia Pty Ltd ("MFS Australia") (ABN 68 607 579 537) holds an Australian financial services licence number 485343. MFS Australia is regulated by the Australian Securities and Investments Commission.; Hong Kong - MFS International (Hong Kong) Limited ("MIL HK"), a private limited company licensed and regulated by the Hong Kong Securities and Futures Commission (the "SFC"). MIL HK is approved to engage in dealing in securities and asset management regulated activities and may provide certain investment services to "professional investors" as defined in the Securities and Futures Ordinance ("SFO").; For Professional Investors in China – MFS Financial Management Consulting (Shanghai) Co., Ltd. 2801-12, 28th Floor, 100 Century Avenue, Shanghai World Financial Center, Shanghai Pilot Free Trade Zone, 200120, China, a Chinese limited liability company registered to provide financial management consulting services.; Japan - MFS Investment Management K.K., is registered as a Financial Instruments Business Operator, Kanto Local Finance Bureau (FIBO) No.312, a member of the Investment Trust Association, Japan and the Japan Investment Advisers Association. As fees to be borne by investors vary depending upon circumstances such as products, services, investment period and market conditions, the total amount nor the calculation methods cannot be disclosed in advance.   66259.1

« Alors, bien reposé·e ? »

FOOTBALL: Dunmore MacHales manager Denis Fallon and man of the match Colm Costello after their 3-19 to 0-16 SFC win over Annaghdown

27th June: Blockchain DXB podcast⚫️BlackRock bought $430M worth BTC

This episode was entirely created and voiced using AI — powered by Google's Notebook LM.Welcome to another edition of Blockchain DXB — where we dive into the biggest stories shaping Bitcoin, blockchain, digital assets, and tokenization. This is part of our AI Takeover Series, bringing you precision-driven news and insights, fully crafted by artificial intelligence.

In this episode, we delve into the intersection of AI and pharma, uncovering how artificial intelligence is set to change drug discovery and its impact on investing. Learn what this means for the future of healthcare and your investment portfolio.   Disclosure: The views expressed are those of the speaker and are subject to change at any time. These views are for informational purposes only and should not be relied on as a recommendation to purchase any security or as an offer of securities or investment advice. No forecast can be guaranteed. Past performance is no guarantee of future results.   Unless otherwise indicated, logos and product and service names are trademarks of MFS® and its affiliates and may be registered in certain countries. Distributed by: U.S. – MFS Institutional Advisors, Inc. ("MFSI"), MFS Investment Management and MFS Fund Distributors, Inc., Member SIPC.; Latin America – MFS International Ltd.; Canada – MFS Investment Management Canada Limited. No securities commission or similar regulatory authority in Canada has reviewed this communication; Note to UK and Switzerland readers: Issued in the UK and Switzerland by MFS International (U.K.) Limited ("MIL UK"), a private limited company registered in England and Wales with the company number 03062718, and authorised and regulated in the conduct of investment business by the UK Financial Conduct Authority. MIL UK, an indirect subsidiary of MFS®, has its registered office at One Carter Lane, London, EC4V 5ER.  Note to Europe (ex UK and Switzerland) readers: Issued in Europe by MFS Investment Management (Lux) S.à r.l. (MFS Lux) – authorized under Luxembourg law as a management company for Funds domiciled in Luxembourg and which both provide products and investment services to institutional investors and is registered office is at S.a r.l. 4 Rue Albert Borschette, Luxembourg L-1246. Tel: 352 2826 12800. For readers in Saudi Arabia, Kuwait, Oman, and UAE (excluding the DIFC and ADGM) and Bahrain readers. In Qatar strictly for sophisticated investors and high net worth individuals only. In Bahrain, for sophisticated institutions only: The information contained in this document is intended strictly for professional investors. The information contained in this document, does not constitute and should not be construed as an offer of, invitation or proposal to make an offer for, recommendation to apply for or an opinion or guidance on a financial product, service and/or strategy. Whilst great care has been taken to ensure that the information contained in this document is accurate, no responsibility can be accepted for any errors, mistakes or omissions or for any action taken in reliance thereon. You may only reproduce, circulate and use this document (or any part of it) with the consent of MFS international U.K. Ltd ("MIL UK"). The information contained in this document is for information purposes only. It is not intended for and should not be distributed to, or relied upon by, members of the public. The information contained in this document, may contain statements that are not purely historical in nature but are “forward-looking statements”. These include, amongst other things, projections, forecasts or estimates of income. These forward-looking statements are based upon certain assumptions, some of which are described in other relevant documents or materials. If you do not understand the contents of this document, you should consult an authorised financial adviser. Please note that any materials sent by the issuer (MIL UK) have been sent electronically from offshore. South Africa: This document, and the information contained is not intended and does not constitute, a public offer of securities in South Africa and accordingly should not be construed as such. This document is not for general circulation to the public in South Africa. This document has not been approved by the Financial Sector Conduct Authority and neither MFS International (U.K.) Limited nor its funds are registered for public sale in South Africa. This material shall not be circulated or distributed to any person other than to professional investors (as permitted by local regulations) and should not be relied upon or distributed to persons where such reliance or distribution would be contrary to local regulation; Singapore – MFS International Singapore Pte. Ltd. (CRN 201228809M); Australia/New Zealand - MFS International Australia Pty Ltd ("MFS Australia") (ABN 68 607 579 537) holds an Australian financial services licence number 485343. MFS Australia is regulated by the Australian Securities and Investments Commission.; Hong Kong - MFS International (Hong Kong) Limited ("MIL HK"), a private limited company licensed and regulated by the Hong Kong Securities and Futures Commission (the "SFC"). MIL HK is approved to engage in dealing in securities and asset management regulated activities and may provide certain investment services to "professional investors" as defined in the Securities and Futures Ordinance ("SFO").; For Professional Investors in China – MFS Financial Management Consulting (Shanghai) Co., Ltd. 2801-12, 28th Floor, 100 Century Avenue, Shanghai World Financial Center, Shanghai Pilot Free Trade Zone, 200120, China, a Chinese limited liability company registered to provide financial management consulting services.; Japan - MFS Investment Management K.K., is registered as a Financial Instruments Business Operator, Kanto Local Finance Bureau (FIBO) No.312, a member of the Investment Trust Association, Japan and the Japan Investment Advisers Association. As fees to be borne by investors vary depending upon circumstances such as products, services, investment period and market conditions, the total amount nor the calculation methods cannot be disclosed in advance. 65116

Maurice Brosnan and Paul Shaughnessy dissect Galway's narrow victory over Armagh, look ahead to this weekend's clash against Down and react to the SFC and IFC drawsThis Podcast is brought to you by Hoare Chartered Accountants. Hoare Chartered Accountants based in Galway City are a leading provider of Audit, Accountancy and Taxation services.. For more information, visit their website on www.hoarecharteredaccountants.ieSubscribe for more content!

Austin Dillon is known to most as the driver of the #3 Chevrolet on Sundays in Nascar and he is known as Richard Childress' grandson to many. But, he is in fact an avid outdoorsmen and loves every aspect of fins, fur & freathers. This week he joins us to talk about the new Sport Fishing Championship series that he is a very active and one of the founding members of. As the owner of Team Renegade and representing South Carollina in these events, they started the 2025 with a checkered flag at the first event of the season. We talk with Austin about this series and the format as well as the schedule and alot of the behind the scenes things that are going to help propel this to the forefront in spectator sports. With the NASCAR experience and understanding how to brand and market a team, Austin is sure ot take this SC team to the pinnacle of the SFC. We have a special guest drop by the studio for htis episode and he joins us as we talk something that he is very familiar with. Not just the NASCAR stuff but the brand marketing and getting your name out there. Dieter Melhorn Fishing has come a long way in a short time. Dieter is known to most for his content driven YoutTube and social media presence, but he is also a freelance videographer for NASCAR. You can go find both of our guests out there in plenty of social media and we hope when you enjoy this episode that you will like and shre it with all your friends as well. Tight LinesBecome a supporter of this podcast: https://www.spreaker.com/podcast/trilogy-outdoors--5441492/support.

Send us a textI'm here today with Laura Spells to talk about a book called The Anxious Generation by Jonathan Haidt. And we are thinking about Gen Z in particular and the generation behind that, the younger children. We're thinking about smartphone use. We're thinking about the effect that phones and social media have on developing brains. The move that has happened in the world from play-based to a phone-based childhood and what we're losing in that and what we're gaining in terms of anxiety, anxiety, alterations in social social skills, children being less able to take physical risks, less able to resolve conflict.I felt quite conflicted about reading the book because I thought that Jonathan Haidt was going to be very anti-technology and was going to be telling everybody to get rid of their phones. And actually the message is incredibly compelling, but much more nuanced than that. It is a really good read and I have absolutely loved exploring some of the themes with Laura.Resources for parents: Smartphone free childhood;  https://smartphonefreechildhood.org; the campaign hub! Provides links to all the evidence to all the harms there are linked with phone use. SFC parent pact; https://parentpact.smartphonefreechildhood.org/The anxious Generation; https://www.anxiousgeneration.com/; Lots of further information from the book - all the graphs, resources and additional material. Jonathan Haidt You tube channel https://www.youtube.com/channel/UCOf0v_ZYfU9_KlGn77h49; Tons of brilliant videos of him talking on hereFeel better, live more Dr Ranjan Chaterjee podcast episode talking to Jonathan Haidt; https://drchatterjee.com/how-smartphones-are-rewiring-our-brains-why-social-media-is-eradicating-childhood-the-truth-about-the-mental-health-epidemic-with-jonathan-haidt/Let Grow Project; https://letgrow.org/; Ideas to help parents let go of their children with confidence The healthy selfie;  https://thehealthyselfie.co.uk/?srsltid=AfmBOoq9PZA1KQPogR59HR1zbJovmLmkgy_kgD4Bp1dbkTn7gXvLGMzt; fantastic book full of practical tips for helping your child develop a healthy relationship with their phone and themselves Resources to point headteachers to: Smartphone free schools; https://smartphonefreeschools.co.uk/; All the evidence behind the need to go fully smartphone free, including success stories from headteachers who have done this. Sophie Windosr presenting a fantastic speech on the need for schools to reduce their invading Edtech https://www.youtube.com/watch?v=7V6nucKFK88PAPAYA (Parents Against Phone Addiction in Young Adolescents); https://www.papayaparents.com/; amazing charity delivering parent and child workshops about phone addiction. If you look closely in Meet the Teamhttps://www.papayaparents.com/meettheteam you may see a familiar face Resources for Health Professionals: Health Professionals for safer screens;

On this episode of The Science of Fishing, Mark Farag sits down with Tennessee Titans star Jeff Simmons — one of the NFL's most dominant defensive linemen — to talk about the unexpected place he finds peace: fishing.Jeff shares how he teamed up with pro angler Jaselyn Berthelot and the Mississippi Blues Angling Club at SFC's The Catch — a competitive fishing event that brought athletes and anglers together on the water. What started as a high-energy tournament turned into a personal reminder for Jeff about why he loves fishing in the first place.They dive into how fishing helps Jeff decompress from the pressure of NFL life, the mindset overlap between sports and the outdoors, and what it means to find stillness in a high-impact world. From battling in the trenches on Sundays to chasing redfish on the Gulf, Jeff opens up in a way fans rarely get to hear.Whether you're into football, fishing, or stories that hit deeper than stats and scales — this episode brings it all together.Football. Fishing. Focus. And the people who live it.

In this episode of the Braun Performance & Rehab Podcast, Dan is joined by Cooper Johnston to discuss his journey recovering from an ACL injury in his knee.Cooper Johnston's passion for soccer began at the age of three. From the outset, his goal was clear: to compete at the highest level. His journey started with SFC before advancing to Salisbury United Soccer Club (SUSC) in fourth grade, where his relentless work ethic began to separate him.By the time he reached high school, Cooper had earned a spot on varsity as a freshman and was selected for the prestigious Olympic Development Program which he played for his freshman and sophomore years. It was during this period that he met his trainer Chase Humphrey—an inflection point that really took his game to the next level.Following his junior year, Cooper transitioned to Maryland United. Over two years, he juggled high-level club play with high school leadership, ultimately captaining the James M. Bennett High School team to a state championship as a senior.But Cooper's story is not just one of triumph it came with many setbacks and injuries, but one injury stood out over the rest. After his senior season, he suffered a torn ACL—a devastating injury just months before stepping into the world of college soccer. For many, this would have been the end of the road. For Cooper, it was the beginning of a new chapter. He took a gap year, bet on himself, and attacked his recovery with the same intensity he brought to the pitch.He continued playing with Maryland United ECNL during his recovery and got recruited by the University of South Carolina's Division 1 program, where he has just completed his second year.While soccer remained central to his identity, lingering injury forced Cooper to take time away from sports and turn his focus toward new ambitions. Now, he is channeling his drive and discipline into the world of finance, where he has already began to make a name for himself. Cooper is applying the same relentless work ethic and leadership that once defined his athletic career to his pursuit of success in the financial world.For more on Cooper be sure to follow @cooperjohnston11*SEASON 6 of the Braun Performance & Rehab Podcast is brought to you by Isophit. For more on Isophit, please check out isophit.com and @isophit -BE SURE to use coupon code BraunPR25% to save 25% on your Isophit order!**Season 6 of the Braun Performance & Rehab Podcast is also brought to you by Firefly Recovery, the official recovery provider for Braun Performance & Rehab. For more on Firefly, please check out https://www.recoveryfirefly.com/ or email jake@recoveryfirefly.com***This episode is also powered by Dr. Ray Gorman, founder of Engage Movement. Learn how to boost your income without relying on sessions. Get a free training on the blended practice model by following @raygormandpt on Instagram. DM my name “Dan” to @raygormandpt on Instagram and receive your free breakdown on the model.Episode Affiliates:MoboBoard: BRAWNBODY10 saves 10% at checkout!AliRx: DBraunRx = 20% off at checkout! https://alirx.health/MedBridge: https://www.medbridgeeducation.com/brawn-body-training or Coupon Code "BRAWN" for 40% off your annual subscription!CTM Band: https://ctm.band/collections/ctm-band coupon code "BRAWN10" = 10% off!Ice shaker affiliate link: https://www.iceshaker.com?sca_ref=1520881.zOJLysQzKeMake sure you SHARE this episode with a friend who could benefit from the information we shared!Check out everything Dan is up to by clicking here: https://linktr.ee/braun_prLiked this episode? Leave a 5-star review on your favorite podcast platform

News about the first guest coming to the Uprock hip hop summit in Australia this November. How a certain artist is going to celebrate making music for 30 years. Flashback by SFC and a remix of a flashback by Playdough. Playlist: "The Most Identifiable Subject (ft. Randy Mason, Nfors, Kris-Bo)" by Krosswerdz "Bow Down (ft. Bizzle, Datin & Bumps INF)" by God Over Money (G.O.M.) "Very Original (ft. D Double E)" by Guvna B "Mourning Laps (ft. Izzy, Old Mate Hamb, MotionPlus)" by The Profit "War" by Young Faith "Under the Table (ft. Hemelbesem, Mistery, Shelly.H & ReFlex The Architect)" by Krosswerdz "The Vibe" by S.F.C. "Where You At (ft. James Gardin, Jahshua Smith)" by Ozay Moore "Thy Wayz (w/ Jonnie 3:16, Knick Knack)" by Ryland Junior "360" by MotionPlus / MP Ancient "Runaway (ft. River, Jon Corbin, DIE-REK)" by Krosswerdz "Lost (ft. Hopsin)" by NF "Setbacks" by 678NATH "You Will Listen (Freddie Bruno Remix)" by Krum (Playdough) "Better Than You" by KJ-52 "Stay Strong (ft. Jonnie 3:16)" by Izzy n The Profit Vote on the playlist at www.definitionradio.com/show/949 Leave your requests/shout-outs on our socials www.facebook.com/DefinitionRadio www.instagram.com/DefinitionHH www.twitter.com/DefinitionHH www.krosswerdz.com

Brad Evans and Jackson Felts return this week to recap a disappointing road loss to new expansion club San Diego FC. The road swing ends after the weekend when Sounders take on FC Dallas in Frisco, Texas in a matchup between new SFC signing Jesus Ferreira and his former team. Then, a fun game of Over / Under and a preview of the weekend's matchup before signing off. Tune in for Sounders soccer on Saturday: MLS Season Pass / 950 KJR AM / 1360 El Rey AM. 

We are calling for the world's best AI Engineer talks for AI Architects, /r/localLlama, Model Context Protocol (MCP), GraphRAG, AI in Action, Evals, Agent Reliability, Reasoning and RL, Retrieval/Search/RecSys , Security, Infrastructure, Generative Media, AI Design & Novel AI UX, AI Product Management, Autonomy, Robotics, and Embodied Agents, Computer-Using Agents (CUA), SWE Agents, Vibe Coding, Voice, Sales/Support Agents at AIEWF 2025! Fill out the 2025 State of AI Eng survey for $250 in Amazon cards and see you from Jun 3-5 in SF!Coreweave's now-successful IPO has led to a lot of questions about the GPU Neocloud market, which Dylan Patel has written extensively about on SemiAnalysis. Understanding markets requires an interesting mix of technical and financial expertise, so this will be a different kind of episode than our usual LS domain.When we first published $2 H100s: How the GPU Rental Bubble Burst, we got 2 kinds of reactions on Hacker News:* “Ah, now the AI bubble is imploding!”* “Duh, this is how it works in every GPU cycle, are you new here?”We don't think either reaction is quite right. Specifically, it is not normal for the prices of one of the world's most important resources right now to swing from $1 to $8 per hour based on drastically inelastic demand AND supply curves - from 3 year lock-in contracts to stupendously competitive over-ordering dynamics for NVIDIA allocations — especially with increasing baseline compute needed for even the simplest academic ML research and for new AI startups getting off the ground.We're fortunate today to have Evan Conrad, CEO of SFCompute, one of the most exciting GPU marketplace startups, talk us through his theory of the economics of GPU markets, and why he thinks CoreWeave and Modal are well positioned, but Digital Ocean and Together are not.However, more broadly, the entire point of SFC is creating liquidity between GPU owners and consumers and making it broadly tradable, even programmable:As we explore, these are the primitives that you can then use to create your own, high quality, custom GPU availability for your time and money budget, similar to how Amazon Spot Instances automated the selective buying of unused compute.The ultimate end state of where all this is going is GPU that trade like other perishable, staple commodities of the world - oil, soybeans, milk. Because the contracts and markets are so well established, the price swings also are not nearly as drastic, and people can also start hedging and managing the risk of one of the biggest costs of their business, just like we have risk-managed commodities risks of all other sorts for centuries. As a former derivatives trader, you can bet that swyx doubleclicked on that…Show Notes* SF Compute* Evan Conrad* Ethan Anderson* John Phamous* The Curve talk* CoreWeave* Andromeda ClusterFull Video PodLike and subscribe!Timestamps* [00:00:05] Introductions* [00:00:12] Introduction of guest Evan Conrad from SF Compute* [00:00:12] CoreWeave Business Model Discussion* [00:05:37] CoreWeave as a Real Estate Business* [00:08:59] Interest Rate Risk and GPU Market Strategy Framework* [00:16:33] Why Together and DigitalOcean will lose money on their clusters* [00:20:37] SF Compute's AI Lab Origins* [00:25:49] Utilization Rates and Benefits of SF Compute Market Model* [00:30:00] H100 GPU Glut, Supply Chain Issues, and Future Demand Forecast* [00:34:00] P2P GPU networks* [00:36:50] Customer stories* [00:38:23] VC-Provided GPU Clusters and Credit Risk Arbitrage* [00:41:58] Market Pricing Dynamics and Preemptible GPU Pricing Model* [00:48:00] Future Plans for Financialization?* [00:52:59] Cluster auditing and quality control* [00:58:00] Futures Contracts for GPUs* [01:01:20] Branding and Aesthetic Choices Behind SF Compute* [01:06:30] Lessons from Previous Startups* [01:09:07] Hiring at SF ComputeTranscriptAlessio [00:00:05]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel, and I'm joined by my co-host Swyx, founder of Smol AI.Swyx [00:00:12]: Hey, and today we're so excited to be finally in the studio with Evan Conrad from SF Compute. Welcome. I've been fortunate enough to be your friend before you were famous, and also we've hung out at various social things. So it's really cool to see that SF Compute is coming into its own thing, and it's a significant presence, at least in the San Francisco community, which of course, it's in the name, so you couldn't help but be. Evan: Indeed, indeed. I think we have a long way to go, but yeah, thanks. Swyx: Of course, yeah. One way I was thinking about kicking on this conversation is we will likely release this right after CoreWeave IPO. And I was watching, I was looking, doing some research on you. You did a talk at The Curve. I think I may have been viewer number 70. It was a great talk. More people should go see it, Evan Conrad at The Curve. But we have like three orders of magnitude more people. And I just wanted to, to highlight, like, what is your analysis of what CoreWeave did that went so right for them? Evan: Sell locked-in long-term contracts and don't really do much short-term at all. I think like a lot of people had this assumption that GPUs would work a lot like CPUs and the like standard business model of any sort of CPU cloud is you buy commodity hardware, then you lay on services that are mostly software, and that gives you high margins and pretty much all your value comes from those services. Not really the underlying. Compute in any capacity and because it's commodity hardware and it's not actually that expensive, most of that can be sort of on-demand compute. And while you do want locked-in contracts for folks, it's mostly just a sort of de-risk situation. It helps you plan revenue because you don't know if people are going to scale up or down. But fundamentally, people are like buying hourly and that's how your business is structured and you make 50 percent margins or higher. This like doesn't really work in GPUs. And the reason why it doesn't work is because you end up with like super price sensitive customers. And that isn't because necessarily it's just way more expensive, though that's totally the case. So in a CPU cloud, you might have like, you know, let's say if you had a million dollars of hardware in GPUs, you have a billion dollars of hardware. And so your customers are buying at much higher volumes than you otherwise expect. And it's also smaller customers who are buying at higher amounts of volume. So relative to what they're spending in general. But in GPUs in particular, your customer cares about the scaling law. So if you take like Gusto, for example, or Rippling or an HR service like this, when they're buying from an AWS or a GCP, they're buying CPUs and they're running web servers, those web servers, they kind of buy up to the capacity that they need, they buy enough, like CPUs, and then they don't buy any more, like, they don't buy any more at all. Yeah, you have a chart that goes like this and then flat. Correct. And it's like a complete flat. It's not even like an incremental tiny amount. It's not like you could just like turn on some more nodes. Yeah. And then suddenly, you know, they would make an incremental amount of money more, like Gusto isn't going to make like, you know, 5% more money, they're gonna make zero, like literally zero money from every incremental GPU or CPU after a certain point. This is not the case for anyone who is training models. And it's not the case for anyone who's doing test time inference or like inference that has scales at test time. Because like you, your scaling laws mean that you may have some diminishing returns, but there's always returns. Adding GPUs always means your model does actually get. And that actually does translate into revenue for you. And then for test time inference, you actually can just like run the inference longer and get a better performance. Or maybe you can run more customers faster and then charge for that. It actually does translate into revenue. Every incremental GPU translates to revenue. And what that means from the customer's perspective is you've got like a flat budget and you're trying to max the amount of GPUs you have for that budget. And it's very distinctly different than like where Augusto or Rippling might think, where they think, oh, we need this amount of CPUs. How do we, you know, reduce that? How do we reduce our amount of money that we're spending on this to get the same amount of CPUs? What that translates to is customers who are spending in really high volume, but also customers who are super price sensitive, who don't give a s**t. Can I swear on this? Can I swear? Yeah. Who don't give a s**t at all about your software. Because a 10% difference in a billion dollars of hardware is like $100 million of value for you. So if you have a 10% margin increase because you have great software, on your billion, the customers are that price sensitive. They will immediately switch off if they can. Because why wouldn't you? You would just take that $100 million. You'd spend $50 million on hiring a software engineering team to replicate anything that you possibly did. So that means that the best way to make money in GPUs was to do basically exactly what CoreWeave did, which is go out and sign only long-term contracts, pretty much ignore the bottom end of the market completely, and then maximize your long-term contracts. With customers who don't have credit risk, who won't sue you, or are unlikely to sue you for frivolous reasons. And then because they don't have credit risk and they won't sue you for frivolous reasons, you can go back to your lender and you can say, look, this is a really low risk situation for us to do. You should give me prime, prime interest rate. You should give me the lowest cost of capital you possibly can. And when you do that, you just make tons of money. The problem that I think lots of people are going to talk about with CoreWeave is it doesn't really look like a cloud platform. It doesn't really look like a cloud provider financially. It also doesn't really look like a software company financially.Swyx [00:05:37]: It's a bank.Evan [00:05:38]: It's a bank. It's a real estate company. And it's very hard to not be that. The problem of that that people have tricked themselves into is thinking that CoreWeave is a bad business. I don't think CoreWeave is explicitly a bad business. There's a bunch of people, there's kind of like two versions of the CoreWeave take at the moment. There's, oh my God, CoreWeave, amazing. CoreWeave is this great new cloud provider competitive with the hyperscalers. And to some extent, this is true from a structural perspective. Like, they are indeed a real sort of thing against the cloud providers in this particular category. And the other take is, oh my gosh, CoreWeave is this horrible business and so on and blah, blah, blah. And I think it's just like a set of perception or perspective. If you think CoreWeave's business is supposed to look like the traditional cloud providers, you're going to be really upset to learn that GPUs don't look like that at all. And in fact, for the hyperscalers, it doesn't look like this either. My intuition is that the hyperscalers are probably going to lose a lot of money, and they know they're going to lose a lot of money on reselling NVIDIA GPUs, at least. Hyperscalers, but I want to, Microsoft, AWS, Google. Correct, yeah. The Microsoft, AWS, and Google. Does Google resell? I mean, Google has TPUs. Google has TPUs, but I think you can also get H100s and so on. But there are like two ways they can make money. One is by selling to small customers who aren't actually buying in any serious volume. They're testing around, they're playing around. And if they get big, they're immediately going to do one of two things. They're going to ask you for a discount. Because they're not going to pay your crazy sort of margin that you have locked into your business. Because for CPUs, you need that. They're going to pay your massive per hour price. And so they want you to sign a long-term contract. And so that's your other way that you can make money, is you can basically do exactly what CoreWeave does, which is have them pay as much as possible upfront and lock in the contract for a long time. Or you can have small customers. But the problem is that for a hyperscaler, the GPUs to... To sell on the low margins relative to what your other business, your CPUs are, is a worse business than what you are currently doing. Because you could have spent the same money on those GPUs. And you could have trained model and you could have made a model on top of it and then turn that into a product and had high margins from your product. Or you could have taken that same money and you could have competed with NVIDIA. And you could have cut into their margin instead. But just simply reselling NVIDIA GPUs doesn't work like your CPU business. Where you're able to capture high margins from big customers and so on. And then they never leave you because your customers aren't actually price sensitive. And so they won't switch off if your prices are a little higher. You actually had a really nice chart, again, on that talk of this two by two. Sure. Of like where you want to be. And you also had some hot takes on who's making money and who isn't. Swyx: So CoreUv locked up long-term contracts. Get that. Yes. Maybe share your mental framework. Just verbally describe it because we're trying to help the audio listeners as well. Sure. People can look up the chart if they want to. Evan: Sure. Okay. So this is a graph of interest rates. And on the y-axis, it's a probability you're able to sell your GPUs from zero to one. And on the x-axis, it's how much they'll depreciate in cost from zero to one. And then you had ISO cost curves or ISO interest rate curves. Yeah. So they kind of shape in a sort of concave fashion. Yeah. The lowest interest rates enable the most aggressive. form of this cost curve. And the higher interest rates go, the more you have to push out to the top right. Yeah. And then you had some analysis of where every player sits in this, including CoreUv, but also Together and Modal and all these other guys. I thought that was super insightful. So I just wanted to elaborate. Basically, it's like a graph of risk and the genres of places where you can be and what the risk is associated with that. The optimal thing for you to do, if you can, is to lock in long-term contracts that are paid all up front or in with a situation in which you trust the other party to pay you over time. So if you're, you know, selling to Microsoft or something or OpenAI. Which are together 77% of the revenue of CoreUv. Yeah. So if you're doing that, that's a great business to be in because your interest rate that you can pitch for is really low because no one thinks Microsoft is going to default. And like maybe OpenAI will default, but the backing by Microsoft kind of doesn't. And I think there's enough, like, generally, it looks like OpenAI is winning that you can make it's just a much better case than if you're selling to the pre-seed startup that just raised $30 million or something pre-revenue. It's like way easier to make the case that the OpenAI is not going to default than the pre-seed startup. And so the optimal place to be is selling to the maximally low risk customer for as long as possible. And then you never have to worry about depreciation and you make lots of money. The less. Good. Good place to be is you could sell long-term contracts to people who might default on you. And then if you're not bringing it to the present, so you're not like saying, hey, you have to pay us all up front, then you're in this like more risky territory. So is it top left of the chart? If I have the chart right, maybe. Large contracts paid over time. Yeah. Large contracts paid over time is like top left. So it's more risky, but you could still probably get away with it. And then the other opportunity is that you could sell short-term contracts for really high prices. And so lots of people tried that too, because this is actually closer to the original business model that people thought would work in cloud providers for CPUs. It works for CPUs, but it doesn't really work for GPUs. And I don't think people were trying this because they were thinking about the risk associated with it. I think a lot of people are just come from a software background, have not really thought about like cogs or margins or inventory risk or things that you have to worry about in the physical world. And I think they were just like copy pasting the same business model onto CPUs. And also, I remember fundraising like a few years ago. And I know based on. Like what we knew other people were saying who were in a very similar business to us versus what we were saying. And we know that our pitch was way worse at the time, because in the beginning of SF Compute, we looked very similar to pretty much every other GPU cloud, not on purpose, but sort of accidentally. And I know that the correct pitch to give to an investor was we will look like a traditional CPU cloud with high margins and we'll sell to everyone. And that is a bad business model because your customers are price sensitive. And so what happens is if you. Sell at high prices, which is the price that you would need to sell it in order to de-risk your loss on the depreciation curve, and specifically what I mean by that is like, let's say you're selling it like $5 an hour and you're paying $1.50 an hour for the GPU under the hood. It's a little bit different than that, but you know, nice numbers, $5 an hour, $1.50 an hour. Great. Excellent. Well, you're charging a really high price per GPU hour because over time the price will go down and you'll get competed out. And what you need is to make sure that you never go under, or if you do go under your underlying cost. You've made so much money in the first part of it that the later end of it, like doesn't matter because from the whole structure of the deal, you've made money. The problem is that just, you think that you're going to be able to retain your customers with software. And actually what happens is your customers are super price sensitive and push you down and push you down and push you down and push you down, um, that they don't care about your software at all. And then the other problem that you have is you have, um, really big players like the hyperscalers who are looking to win the market and they have way more money than you, and they can push down on margin. Much better than you can. And so if they have to, and they don't, they don't necessarily all the time, um, I think they actually keep pride of higher margin, but if they needed to, they could totally just like wreck your margin at any point, um, and push you down, which meant that that quadrant over there where you're charging a high price, um, and just to make up for the risk completely got destroyed, like did not work at all for many places because of the price sensitivity, because people could just shove you down instead that pushed everybody up to the top right-hand corner of that, which is selling short-term. Contracts for low prices paid over time, which is the worst place to be in, um, the worst financial place to be in because it has the highest interest rate, um, which means that your, um, your costs go up at the same time, your, uh, your incoming cash goes down and squeezes your margins and squeezes your margins. The nice thing for like a core weave is that most of their business is over on the, on the other sides of those quadrants that the ones that survive. The only remaining question I have with core weave, and I promise I get to ask if I can compute, and I promise this is relevant to SOF Compute in general, because the framework is important, right? Sure. To understand the company. So why didn't NVIDIA or Microsoft, both of which have more money than core weave, do core weave, right? Why didn't they do core weave? Why have this middleman when either NVIDIA or Microsoft have more money than God, and they could have done an internal core weave, which is effectively like a self-funding vehicle, like a financial instrument. Why does there have to be a third party? Your question is like... Why didn't Microsoft, or why didn't NVIDIA just do core weave? Why didn't they just set up their own cloud provider? I think, and I don't know, and so correct me if I'm wrong, and lots of people will have different opinions here, or I mean, not opinions, they'll have actual facts that differ from my facts. Those aren't opinions. Those are actually indeed differences of reality, is that NVIDIA doesn't want to compete with their customers. They make a large amount of money by selling to existing clouds. If they launched their own core weave, then it would be a lot more money. It'd make it much harder for them to sell to the hyperscalers, and so they have a complex relationship with there. So not great for them. Second is that, at least for a while, I think they were dealing with antitrust concerns or fears that if they're going through, if they own too much layers of the stack, I could imagine that could be a problem for them. I don't know if that's actually true, but that's where my mind would go, I guess. Mostly, I think it's the first one. It's that they would be competing directly with their primary customers. Then Microsoft could have done it, right? That's the other question. Yeah, so Microsoft didn't do it. And my guess is that... NVIDIA doesn't want Microsoft to do it, and so they would limit the capacity because from NVIDIA's perspective, both they don't want to necessarily launch their own cloud provider because it's competing with their customers, but also they don't want only one customer or only a few customers. It's really bad for NVIDIA if you have customer concentration, and Microsoft and Google and Amazon, like Oracle, to buy up your entire supply, and then you have four or five customers or so who pretty much get to set prices. Monopsony. Yeah, monopsony. And so the optimal thing for you is a diverse set of customers who all are willing to pay at whatever price, because if you don't, somebody else will. And so it's really optimal for NVIDIA to have lots of other customers who are all competing against each other. Great. Just wanted to establish that. It's unintuitive for people who have never thought about it, and you think about it all day long. Yeah. Swyx: The last thing I'll call out from the talk, which is kind of cool, and then I promise we'll get to SF Compute, is why will DigitalOcean and Together lose money on their clusters? Why will DigitalOcean and Together lose money on their clusters?Evan [00:16:33]: I'm going to start by clarifying that all of these businesses are excellent and fantastic. That Together and DigitalOcean and Lambda, I think, are wonderful businesses who build excellent products. But my general intuition is that if you try to couple the software and the hardware together, you're going to lose money. That if you go out and you buy a long-term contract from someone and then you layer on services, or you buy the hardware yourself and you spin it up and you get a bunch of debt, you're going to run into the same problem that everybody else did, the same problem we did, same problem the hyperscalers did. And that's exactly what the hyperscalers are doing, which is you cannot add software and make high margins like a cloud provider can. You can pitch that into investors and it will totally make sense, and it's like the correct play in CPUs, but there isn't software you could make to make this occur. If you're spending a billion dollars on hardware, you need to make a billion dollars of software. There isn't a billion dollars of software that you can realistically make, and if you do, you're going to look like SAP. And that's not a knock on SAP. SAP makes a f**k ton of money, right? Right. Right. Right. Right. There aren't that many pieces of software that you could make, that you can realistically sell, like a billion dollars of software, and you're probably not going to do it to price-sensitive customers who are spending their entire budget already on compute. They don't have any more money to give you. It's a very hard proposition to do. And so many parties have been trying to do this, like, buy their own compute, because that's what a traditional cloud does. It doesn't really work for them. You know that meme where there's, like, the Grim Reaper? And he's, like, knocking on the door, and then he keeps knocking on the next door? We have just seen door after door after door of the Grim Reeker comes by, and the economic realities of the compute market come knocking. And so the thing we encourage folks to do is if you are thinking about buying a big GPU cluster and you are going to layer on software on top, don't. There are so many dead bodies in the wake there. We would recommend not doing that. And we, as SF Compute, our entire business is structured to help you not do that. It's helped disintegrate these. The GPU clouds are fantastic real estate businesses. If you treat them like real estate businesses, you will make a lot of money. The cloud services you can make on that, all the software you want to make on that, you can do that fantastically. If you don't own the underlying hardware, if you mix these businesses together, you get shot in the head. But if you combine, if you split them, and that's what the market does, it helps you split them, it allows you to buy, like, layer on services, but just buy from the market, you can make lots of money. So companies like Modal, who don't own the underlying compute, like they don't own it, lots of money, fantastic product. And then companies like Corbeave, who are functionally like really, really good real estate businesses, lots of money, fantastic product. But if you combine them, you die. That's the economic reality of compute. I think it also splits into trading versus inference, which are different kinds of workloads. Yeah. And then, yeah, one comment about the price sensitivity thing before we leave this. This topic, I want to credit Martin Casado for coining or naming this thing, which is like, you know, you said, you said this thing about like, you don't have room for a 10% margin on GPUs for software. Yep. And Martin actually played it out further. It's his first one I ever saw doing this at large enough runs. So let's say GPT-4 and O1 both had a total trading cost of like a $500 billion is the rough estimate. When you get the $5 billion runs, when you get the $50 billion runs, it is actually makes sense to build your own. You're going to have to get into chips, like for OpenEI to get into chip design, which is so funny. I would make an ASIC for this run. Yeah, maybe. I think a caveat of that that is not super well thought about is that only works if you're really confident. It only works if you really know which chip you're going to do. If you don't, then it's a little harder. So it makes in my head, it makes more sense for inference where you've already established it. But for training there's so much like experimentation. Any generality, yeah. Yeah. The generality is much more useful. Yeah. In some sense, you know, Google's like six generations into the CPUs. Yeah. Yeah. Okay, cool. Maybe we should go into SF Compute now. Sure. Yeah.Alessio [00:20:37]: Yeah. So you kind of talked about the different providers. Why did you decide to go with this approach and maybe talk a bit about how the market dynamics have evolved since you started a company?Evan [00:20:47]: So originally we were not doing this at all. We were definitely like forced into this to some extent. And SF Compute started because we wanted to go train models for music and audio in general. We were going to do a sort of generic audio model at some points, and then we were going to do a music model at some points. It was an early company. We didn't really spec down on a particular thing. But yeah, we were going to do a music model and audio model. First thing that you do when you start any AI lab is you go out and you buy a big cluster. The thing we had seen everybody else do was they went out and they raised a really big round and then they would get stuck. Because if you raise the amount of money that you need to train a model initially, like, you know, the $50 million pre-seed, pre-revenue, your valuation is so high or you get diluted so much that you can't raise the next round. And that's a very big ask to make. And also, I don't know, I felt like we just felt like we couldn't do it. We probably could have in retrospect, but I think one, we didn't really feel like we could do it. Two, it felt like if we did, we would have been stuck later on. We didn't want to raise the big round. And so instead, we thought, surely by now, we would be able to just go out. To any provider and buy like a traditional CPU cloud would sell offer you and just buy like on demand or buy like a month or so on. And this worked for like small incremental things. And I think this is where we were basing it off. We just like assumed we could go to like Lambda or something and like buy thousands of at the time A100s. And this just like was not at all the case. So we started doing all the sales calls with people and we said, OK, well, can we just get like month to month? Can we get like one month of compute or so on? Everyone told us at the time, no. You need to have a year long contract or longer or you're out of luck. Sorry. And at the time, we were just like pissed off. Like, why won't nobody sell us a month at a time? Nowadays, we totally understand why, because it's the same economic reason. Because if you if they had sold us the month to month or so on and we canceled or so on, they would have massive risk on that. And so the optimal thing to do was to only to just completely abandon the section of the market. We didn't like that. So our plan was we were going to buy a year long contract anyway. We would use a month. And then we would. At least the other 11 months. And we were locked in for a year, but we only had to pay on every individual month. And so we did this. But then immediately we said, oh, s**t, now we have a cloud provider, not a like training models company, not an AI lab, because every 30 days we owed about five hundred thousand dollars or so and we had about five hundred thousand dollars in the bank. So that meant that every single month, if we did not sell out our cluster, we would just go bankrupt. So that's what we did for the first year of the company. And when you're in that position. You try to think how in the world you get out of that position, what that transition to is, OK, well, we tend to be pretty good at like selling this cluster every month because we haven't died yet. And so what we should do is we should go basically be like this broker for other people and we will be more like a GPU real estate or like a GPU realtor. And so we started doing that for a while where we would go to other people who had who was trying to sell like a year long contract with somebody and we'd go to another person who like maybe this person wanted six months and somebody else on six months or something and we'd like combine all these people. Together to make the deal happen and we'd organize these like one off bespoke deals that looked like basically it ended up with us taking a bunch of customers, us signing with a vendor, taking some cut and then us operating the cluster for people typically with bare metal. And so we were doing this, but this was definitely like a oh, s**t, oh, s**t, oh, s**t. How do we get out of our current situation and less of a like a strategic plan of any sort? But while we were doing this, since like the beginning of the company, we had been thinking about how to buy GPU clusters, how to sell them effectively, because we'd seen every part of it. And what we ended up with was like a book of everybody who's trying to buy and everyone is trying to sell because we were these like GPU brokers. And so that turned into what is today SF Compute, which is a compute market, which we think we are the functionally the most liquid GPU market of any capacity. Honestly, I think we're the only thing that actually is like a real market that there's like bids and asks and there's like a like a trading engine that combines everything. And so. I think we're the only place where you can do things that a market should be able to do. Like you can go on SF Compute today and you get thousands of H100s for an hour if you want. And that's because there is a price for thousands of GPUs for an hour. That is like not a thing you can reasonably do on kind of any other cloud provider because nobody should realistically sell you thousands of GPUs for an hour. They should sell it to you for a year or so on. But one of the nice things about a market is that you can buy the year on SF Compute. But then if you need to sell. Back, you can sell back as well. And that opens up all these little pockets of liquidity where somebody who's just trying to buy for a little bit of time, some burst capacity. So people don't normally buy for an hour. That's not like actually a realistic thing, but it's like the range somebody who wants, who is like us, who needed to buy for a month can actually buy for a month. They can like place the order and there is actually a price for that. And it typically comes from somebody else who's selling back. Somebody who bought a longer term contract and is like they bought for some period of time, their code doesn't work, and now they need to like sell off a little bit.Alessio [00:25:49]: What are the utilization rates at which a market? What are the utilization rates at which a market? Like this works, what do you see the usual GPU utilization rate and like at what point does the market get saturated?Evan [00:26:00]: Assuming there are not like hardware problems or software problems, the utilization rate is like near 100 percent because the price dips until the utilization is 100 percent. So the price actually has to dip quite a lot in order for the utilization not to be. That's not always the case because you just have logistical problems like you get a cluster and parts of the InfiniBand fabric are broken. And there's like some issue with some switch somewhere and so you have to take some portion of the cluster offline or, you know, stuff like this, like there's just underlying physical realities of the clusters, but nominally we have better utilization than basically anybody because, but that's on utilization of the cluster, like that doesn't necessarily translate into, I mean, I actually do think we have much better overall money made for our underlying vendors than kind of anybody else. We work with the other GPU clouds and the basic pitch to the other GPU clouds is one. So we can sell your broker so we can we can find you the long term contracts that are at the prices that you want, but meanwhile, your cluster is idle and for that we can increase your utilization and get you more money because we can sell that idle cluster for you and then the moment we find the longer, the bigger customer and they come on, you can kick off those people and then go to the other ones. You get kind of the mix of like sell your cluster at whatever price you can get on the market and then sell your cluster at the big price that you want to do for long term contract, which is your ideal business model. And then the benefit of the whole thing being on the market. Is you can pitch your customer that they can cancel their long term contract, which is not a thing that you can reasonably do if you are just the GPU cloud, if you're just the GPU cloud, you can never cancel your contract, because that introduces so much risk that you would otherwise, like not get your cheap cost of capital or whatever. But if you're selling it through the market, or you're selling it with us, then you can say, hey, look, you can cancel for a fee. And that fee is the difference between the price of the market and then the price that they paid at, which means that they canceled and you have the ability to offer that flexibility. But you don't. You don't have to take the risk of it. The money's already there and like you got paid, but it's just being sold to somebody else. One of our top pieces from last year was talking about the H100 glut from all the long term contracts that were not being fully utilized and being put under the market. You have on here dollar a dollar per hour contracts as well as it goes up to two. Actually, I think you were involved. You were obliquely quoted in that article. I think you remember. I remember because this was hidden. Well, we hid your name, but then you were like, yeah, it's us. Yeah. Could you talk about the supply and demand of H100s? Was that just a normal cycle? Was that like a super cycle because of all the VC funding that went in in 2003? What was that like? GPU prices have come down. Yeah, GPU prices have come down. And there's some part that has normal depreciation cycle. Some part of that is just there were a lot of startups that bought GPUs and never used them. And now they're lending it out and therefore you exist. There's a lot of like various theories as to why. This happened. I dislike all of them because they're all kind of like they're often said with really high confidence. And I think just the market's much more complicated than that. Of course. And so everything I'm going to say is like very hedged. But there was a series of like places where a bunch of the orders were placed and people were pitching to their customers and their investors and just the broader market that they would arrive on time. And that is not how the world works. And because there was such a really quick build out of things, you would end up with bottlenecks in the supply chain somewhere that has nothing to do with necessarily the chip. It's like the InfiniBand cables or the NICs or like whatever. Or you need a bunch of like generators or you don't have data center space or like there's always some bottleneck somewhere else. And so a lot of the clusters didn't come online within the period of time. But then all the bottlenecks got sorted out and then they all came online all at the same time. So I think you saw a short. There was a shortage because supply chain hard. And then you saw a increase or like a glut because supply chain eventually figure itself out. And specifically people overordered in order to get the allocation that they wanted. Then they got the allocations and then they went under. Yeah, whatever. Right. There was just a lot of shenanigans. A caveat of this is every time you see somebody like overordered, there is this assumption that the problem was like the demand went down. I don't think that's the case at all. And so I want to clarify that. It definitely seems like a shortage. Like there's more demand for GPUs than there ever was. It's just that there was also more supply. So at the moment, I think there is still functionally a glut. But the difference that I think is happening is mostly the test time inference stuff that you just need way more chips for that than you did before. And so whenever you make a statement about the current market, people sort of take your words and then they assume that you're making a statement about the future market. And so if you say there's a glut now, people will continue to think there's a glut. But I think what is happening at the moment. My general prediction is that like by the winter, we will be back towards shortage. But then also, this very much depends on the rollout of future chips. And that comes with its own. I think I'm trying to give you like a good here's Evan's forecast. Okay. But I don't know if my forecast is right. You don't have to. Nobody is going to hold you to it. But like I think people want to know what's true and what's not. And there's a lot of vague speculations from people who are not that close to the market actually. And you are. I think I'm a closer. Close to the market, but also a vague speculator. Like I think there are a lot of really highly confident speculators and I am indeed a vague speculator. I think I have more information than a lot of other people. And this makes me more vague of a spectator because I feel less certain or less confident than I think a lot of other people do. The thing I do feel reasonably confident about saying is that the test time inference is probably going to quite significantly expand the amount of compute that was used for inference. So a caveat. This is like pretty much all the inference demand is in a few companies. A good example is like lots of bio and pharma was using H100s training sort of the bio models of sorts. And they would come along and they would buy, you know, thousands of H100s for training and then just like not a lot of stuff for inference. Not in any, not relative to like an opening iron anthropic or something because they like don't have a consumer product. Their inference event, if they can do it right. There's really like only one inference event that matters. And obviously I think they're going to run into it. And Batch and they're not going to literally just run one inference event. But like the one that produces the drug is the important one. Right. And I'm dumb and I don't know anything about biology, so I could be completely wrong here. But my understanding is that's kind of the gist. I can check that for you. You can check that for me. Check that for me. But my understanding is like the one that produces the sequence that is the drug that, you know, cures cancer or whatever. That's the important deal. But like a lot of models look like this where they're sort of more enterprising use cases or they're so prior to something that looks like test time inference. You got lots and lots of demand for training and then pretty much entirely fell off for inference. And I think like we looked at like Open Router, for example, the entirety of Open Router that was not anthropic or like Gemini or OpenAI or something. It was like 10 H100 nodes or something like that. It's just like not that much. It's like not that many GPUs actually to service that entire demand. But that's like a really sizable portion of the sort of open source market. But the actual amount of compute needed for it was not that much. But if you imagine like what an OpenAI needs for like GPT-4, it's like tremendously big. But that's because it's a consumer product that has almost all the inference demand. Yeah, that's a message we've had. Roughly open source AI compared to closed AI is like 5%. Yeah, it's like super small. Super small. It's super small. Super small. But test time inference changes that quite significantly. So I will... I will expect that to increase our overall demand. But my question on whether or not that actually affects your compute price is entirely based on how quickly do we roll out the next chips. The way that you burst is different for test time.Alessio [00:34:01]: Any thoughts on the third part of the market, which is the more peer-to-peer distributed, some are like crypto-enabled, like Hyperbolic, Prime Intellect, and all of that. Where do those fit? Like, do you see a lot of people will want to participate in a peer-to-peer market? Or just because of the capital requirements at the end of the day, it doesn't really matter?Evan [00:34:20]: I'm like wildly skeptical of these, to be frankly. The dream is like steady at home, right? I got this $15.90. Nobody has $15.90. $14.90 sitting at home. I can rent it out. Yeah. Like, I just don't really think this is going to ever be more efficient than a fully interconnected cluster with InfiniBand or, you know, whatever the sort of next spec might be. Like, I could be completely wrong. But speaking of... I mean, like, SpeedoLite is really hard to beat. And regardless of whatever you're using, you just like can't get around that physical limitation. And so you could like imagine a decentralized market that still has a lot of places where there's like co-location. But then you would get something that looks like SF Compute. And so that's what we do. That's why we take our general take is like on SF Compute, you're not buying from like random people. You're buying from the other GPU clouds, functionally. You're buying from data centers that are the same genre of people that you would work with already. And you can specify, oh, I want all these nodes to be co-located. And I don't think you're really going to get around that. And I think I buy crypto for the purposes of like transferring money. Like the financial system is like quite painful and so on. I can understand the uses of it to sort of incentivize an initial market or try to get around the cold start problem. We've been able to get around the cold start problem just fine. So it didn't actually need that at all. What I do think is totally possible is you could launch a token and then you could like subsidize the crypto. You could compute prices for a bit, but like maybe that will help you. I think that's what Nuus is doing. Yeah, I think there's lots of people who are trying to do things like this, but at some point that runs out. So I would, I think generally agree. I think the only thread in that model is very fine grained mixture of experts that can be like algorithms can shift to adapt to hardware realities. And the hardware reality is like, okay, it's annoying to do large co-located clusters. Then we'll just redesign attention or whatever in our architecture to distribute it more. There was a little bit buzz of block attention last year that Strong Compute made a big push on. But I think like, you know, in a world where we have 200 experts in MOE model, it starts to be a little bit better. Like, I don't disagree with this. I can imagine the world in which you have like, in which you've redesigned it to be more parallelizable, like across space.Evan [00:36:43]: But assuming without that, your hardware limitation is your speed of light limitation. And that's a very hard one to get around.Alessio [00:36:50]: Any customers or like stories that you want to shout out of like maybe things that wouldn't have been economically viable like others? I know there's some sensitivity on that.Evan [00:37:00]: My favorites are grad students, are folks who are trying to do things that would normally otherwise require the scale of a big lab. And the grad students are like the worst pilots. They're like the worst possible customer for the traditional GPU clouds because they will immediately turn if you sell them a thing because they're going to graduate and they're not going to go anywhere. They're not going to like, that project isn't continuing to spend lots of money. Like sometimes it does, but not if you're like working with the university or you're working with the lab of some sort. But a lot of times it's just like the ability for us to offer like big burst capacity, I think is lovely and wonderful. And it's like one of my favorite things to do because all those folks look like we did. And I have a special place in my heart for that. I have a special place in my heart for young hackers and young grad students and researchers who are trying to do the same genre of thing that we are doing. For the same reason, I have a special place in my heart for like the startups, the people who are just actively trying to compete on the same scale, but can't afford it time-wise, but can afford it spike-wise. Yeah, I liked your example of like, I have a grant of 100K and it's expiring. I got to spend it on that. That's really beautiful. Yeah. Interesting. Has there been interesting work coming out of that? Anything you want to mention? Yeah. So from like a startup perspective, like Standard Intelligence and Find, P-H-I-N-D. We've had them on the pod.Swyx [00:38:23]: Yeah. Yeah.Evan [00:38:23]: That was great. And then from grad students' perspective, we worked a lot with like the Schmidt Futures grantees of various sorts. My fear is if I talk about their research, I will be completely wrong to a sort of almost insulting degree because I am very dumb. But yeah. I think one thing that's maybe also relevant startups and GPUs-wise. Yeah. Is there was a brief moment where it kind of made sense that VCs provided GPU clusters. And obviously you worked at AI Grants, which set up Andromeda, which is supposedly a $100 million cluster. Yeah. I can explain why that's the case or why anybody would think that would be smart. Because I remember before any of that happened, we were asking for it to happen. Yeah. And the general reason is credit risk. Again, it's a bank. Yeah. I have lower risk than you due to credit transformation. I take your risk onto my balance sheet. Correct. Exactly. If you wanted to go for a while, if you wanted to go set up a GPU cluster, you had to be the one that actually bought the hardware and racked it and stacked it, like co-located it somewhere with someone. Functionally, it was like on your balance sheet, which means you had to get a loan. And you cannot get a loan for like $50 million as a startup. Like not really. You can get like venture debt and stuff, but like it's like very, very difficult to get a loan of any serious price for that. But it's like not that difficult to get a loan for $50 million. If you already have a fund or you already have like a million dollars under your assets somewhere or like you personally can like do a personal guarantee for it or something like this. If you have a lot of money, it is way easier for you to get a loan than if you don't have a lot of money. And so the hack of a VC or some capital partner offering equity for compute is always some arbitrage on the credit risk. That's amazing. Yeah. That's a hack. You should do that. I don't think people should do it right now. I think the market has like, I think it made sense at the time and it was helpful and useful for the people who did it at the time. But I think it was a one-time arbitrage because now there are lots of other sources that can do it. And also I think like it made sense when no one else was doing it and you were the only person who was doing it. But now it's like it's an arbitrage that gets competed down. Sure. So it's like super effective. I wouldn't totally recommend it. Like it's great that Andromeda did it. But the marginal increase of somebody else doing it is like not super helpful. I don't think that many people have followed in their footsteps. I think maybe Andreessen did it. Yeah. That's it. I think just because pretty much all the value like flows through Andromeda. What? That cannot be true. How many companies are in the air, Grant? Like 50? My understanding of Andromeda is it works with all the NFTG companies or like several of the NFTG companies. But I might be wrong about that. Again, you know, something something. Nat, don't kill me. I could be completely wrong. But the but you know, I think Andromeda was like an excellent idea to do at the right time in which it occurred. Perfect. His timing is impeccable. Timing. Yeah. Nat and Daniel are like, I mean, there's lots of people who are like... Sears? Yeah. Sears. Like S-E-E-R. Oh, Sears. Like Sears of the Valley. Yeah. They for years and years before any of the like ChatGPT moment or anything, they had fully understood what was going to happen. Like way, way before. Like. AI Grant is like, like five years old, six years old or something like that. Seven years old. When I, when it like first launched or something. Depends where you start. The nonprofit version. Yeah. The nonprofit version was like, like happening for a while, I think. It's going on for quite a bit of time. And then like Nat and Daniel are like the early investors in a lot of the sort of early AI labs of various sorts. They've been doing this for a bit.Alessio [00:41:58]: I was looking at your pricing yesterday. We're kind of talking about it before. And there's this weird thing where one week is more expensive of both one day and one month. Yeah. What are like some of the market pricing dynamics? What are things that like this to somebody that is not in the business? This looks really weird. But I'm curious, like if you have an explanation for it, if that looks normal to you. Yeah.Evan [00:42:18]: So the simple answer is preemptible pricing is cheaper than non-preemptible pricing. And the same economic principle is the reason why that's the case right now. That's not entirely true on SF Compute. SF Compute doesn't really have the concept of preemptible. Instead, what it has is very short reservations. So, you know, you go to a traditional cloud provider and you can say, hey, I want to reserve contract for a year. We will let you do a reserve contract for one hour, which is the part of SFC. But what you can do is you can just buy every single hour continuously. And you're reserving just for that hour. And then the next hour you reserve just for that next hour. And this is obviously like a built in. This is like an automation that you can do. But what you're seeing when you see the cheap price is you're seeing somebody who's buying the next hour, but maybe not necessarily buying an hour after that. So if the price goes up. Up too much. They might not get that next hour. And the underlying part of this of where that's coming from the market is you can imagine like day old milk or like milk that's about to be old. It might drop its price until it's expired because nobody wants to buy the milk that's in the past. Or maybe you can't legally sell it. Compute is the same way. No, you can't sell a block of compute that is not that is in the past. And so what you should do in the market and what people do do is they take. They take a block. A block of compute. And then they drop it and drop it and drop it and drop into a floor price right before it's about to expire. And they keep dropping it until it clears. And so anything that is idle drops until some point. So if you go and use on the website and you set that that chart to like a week from now, what you'll see is much more normal looking sort of curves. But if you say, oh, I want to start right now, that immediate instant, here's the compute that I want right now is the is functionally the preemptible price. It's where most people are getting the best compute or like the best compute prices from. The caveat of that is you can do really fun stuff on SFC if you want. So because it's not actually preemptible, it's it's reserved, but only reserved for an hour, which means that the optimal way to use as of compute is to just buy on the market price, but set a limit price that is much higher. So you can set a limit price for like four dollars and say, oh, if the market ever happens to spike up to four dollars, then don't buy. I don't want to buy that at that price for that price. I don't want to buy that at that price for that price for an hour. But otherwise, just buy at the cheapest price. And if you're comfortable with that of the volatility of it, you're actually going to get like really good prices, like close to a dollar an hour or so on, sometimes down to like 80 cents or whatever. You said four, though. Yeah. So that's the thing. You want to lower the limit. So four is your max price. Four is like where you basically want to like pull the plug and say don't do it because the actual average price is not or like the, you know, the preemptible price doesn't actually look like that. So what you're doing when you're saying four is always, always, always give me this compute. Like continue to buy every hour. Don't preempt me. Don't kick me off. And I want this compute and just buy at the preemptible price, but never kick me off. The only times in which you get kicked off is if there is a big price spike. And, you know, let's say one day out of the year, there's like a four dollar an hour price because of some weird fluke or something. If there are other periods of time, you're actually getting a much lower price than you. It makes sense. Your your average cost that you're actually paying is way better. And your trade off here is you don't literally know what price you're going to get. So it's volatile. But your actual average historically has been like everyone who's done this has gotten wildly better prices. And this is like one of the clever things you can do with the market. If you're willing to make those trade offs, you can get a lot of really good prices. You can also do other things like you can only buy at night, for example. So the price goes down at night. And so you can say, oh, I want to only buy, you know, if the price is lower than 90 cents. And so if you have some long running job, you can make it only run on 90 cents and then you recover back and so on. Yeah. So what you can kind of create as like a spot inst is what other the CPU world has. Yes. But you've created a system where you can kind of manufacture the exact profile that you want. Exactly. That is not just whatever the hyperscalers offer you, which is usually just one thing. Correct. SF Compute is like the power tool. The underlying primitives of like hourly compute is there. Correct. Yeah, it's pretty interesting. I've often asked OpenAI. So like, you know, all these guys. Cloud as well. They do batch APIs. So it's half off of whatever your thing is. Yeah. And the only contract is we'll return in 24 hours. Sure. Right. And I was like, 24 hours is good. But sometimes I want one hour. I want four hours. I want something. And so based off of SF Compute's system, you can actually kind of create that kind of guarantee. Totally. That would be like, you know, not 24, but within eight hours, within four hours, like the work half of a workday. Yes. I can return your results to you. And then I can return it to you. And if your latency requirements are like that low, actually it's fine. Yes. Correct. Yeah. You can carve out that. You can financially engineer that on SFC. Yeah. Yeah. I mean, I think to me that unlocks a lot of agent use cases that I want, which is like, yeah, I worked in a background, but I don't want you to take a day. Yeah. Correct. Take a couple hours or something. Yeah. This touches a lot of my like background because I used to be a derivatives trader. Yeah. And this is a forward market. Yeah. A futures forward market, whatever you call it. Not a future. Very explicitly not a future. Not yet a futures. Yes. But I don't know if you have any other points to talk about. So you recognize that you are a, you know, a marketplace and you've hired, I met Alex Epstein at your launch event and you're like, you're, you're building out the financialization of GPUs. Yeah. So part of that's legal. Mm-hmm. Totally. Part of that is like listing on an exchange. Yep. Maybe you're the exchange. I don't know how that works, but just like, talk to me about that. Like from the legal, the standardization, the like, where is this all headed? You know, is this like a full listed on the Chicago Mercantile Exchange or whatever? What we're trying to do is create an underlying spot market that gives you an index price that you can use. And then with that index price, you can create a cash settled future. And with a cash settled future, you can go back to the data centers and you can say, lock in your price now and de-risk your entire position, which lets you get cheaper cost of capital and so on. And that we think will improve the entire industry because the marginal cost of compute is the risk. It's risk as shown by that graph and basically every part of this conversation. It's risk that causes the price to be all sorts of funky. And we think a future is the correct solution to this. So that's the eventual goal. Right now you have to make the underlying spot market in order to make this occur. And then to make the spot market work, you actually have to solve a lot of technology problems. You really cannot make a spot market work if you don't run the clusters, if you don't have control over them, if you don't know how to audit them, because these are super computers, not soybeans. They have to work. In a way that like, it's just a lot simpler to deliver a soybean than it is to deliver it. I don't know. Talk to the soybean guys. Sure. You know? Yeah. But you have to have a delivery mechanism. Your delivery mechanism, like somebody somewhere has to actually get the compute at some point and it actually has to work. And it is really complicated. And so that is the other part of our business that we go and we build a bare metal infrastructure stack that goes. And then also we do auditing of all the clusters. You sort of de-risk the technical perspective and that allows you to eventually de-risk the financial perspective. And that is kind of the pitch of SF Compute. Yeah. I'll double click on the auditing on the clusters. This is something I've had conversations with Vitae on. He started Rika and I think he had a blog post which kind of shone the light a little bit on how unreliable some clusters are versus others. Correct. Yeah. And sometimes you kind of have to season them and age them a little bit to find the bad cards. You have to burn them in. Yeah. So what do you do to audit them? There's like a burn-in process, a suite of tests, and then active checking and passive checking. Burn-in process is where you typically run LINPACK. LINPACK is this thing that like a bunch of linear algebra equations that you're stress testing the GPUs. This is a proprietary thing that you wrote? No, no, no. LINPACK is like the most common form of burn-in. If you just type in burn-in, typically when people say burn-in, they literally just mean LINPACK. It's like an NVIDIA reference version of this. Again, NVIDIA could run this before they ship, but now the customers have to do it. It's annoying. You're not just checking for the GPU itself. You're checking like the whole component, all the hardware. And it's a lot of work. It's an integration test. It's an integration test. Yeah. So what you're doing when you're running LINPACK or burn-in in general is you're stress testing the GPUs for some period of time, 48 hours, for example, maybe seven days or so on. And you're just trying to kill all the dead GPUs or any components in the system that are broken. And we've had experiences where we ran LINPACK on a cluster and it rounds out, sort of comes offline when you run LINPACK. This is a pretty good sign that maybe there is a problem with this cluster. Yeah. So LINPACK is like the most common sort of standard test. But then beyond that, what you do is we have like a series of performance tests that replicate a much more realistic environment as well that we run just assuming if LINPACK works at all, then you run the next set of tests. And then while the GPUs are in operation, you're also going through and you're doing active tests and passive tests. Passive tests are things that are running in the background while somebody else is running, while like some other workload is running. And active tests are during like idle periods. You're running some sort of check that would otherwise sort of interrupt something. And then the active tests will take something offline, basically. Or a passive check might mark it to get taken offline later and so on. And then the thing that we are working on that we have working partially but not entirely is automated refunds, which is basically like, is the case that the hardware breaks so much. And there's only so much that we can do and it is the effect of pretty much the entire industry. So a pretty common thing that I think happens to kind of everybody in the space is a customer comes online, they experience your cluster, and your cluster has the same problem that like any cluster has, or it's I mean, a different problem every time, but they experience one of the problems of HPC. And then their experience is bad. And you have to like negotiate a refund or some other thing like this. It's always case by case. And like, yeah, a lot of people just eat the cost. Correct. So one of the nice things about a market that we can do as we get bigger and have been doing as we can bigger is we can immediately give you something else. And then also we can automatically refund you. And you're still gonna experience it like the hardware problems aren't going away until the underlying vendors fix things. But honestly, I don't think that's likely because you're always pushing the limits of HPC. This is the case of trying to build a supercomputer. that's one of the nice things that we can do is we can switch you out for somebody else somewhere, and then automatically refund you or prorate or whatever the correct move is. One of the things that you say in this conversation with me was like, you know, you know, a provider is good when they guarantee automatic refunds. Which doesn't happen. But yeah, that's, that's in our contact with all the underlying cloud providers. You built it in already. Yeah. So we have a quite strict SLA that we pass on to you. The reason why

Back in July 1984, Guitar Player magazine featured Eddie Van Halen on the cover. Since staff editor Jas Obrecht had already interviewed Eddie multiple times, the team asked him to create a crash course in Eddie's playing style. Eddie agreed, and music editor Jim Ferguson was sent to LA for the “My Tips for Beginners” section. For more advanced players, Eruption—Van Halen's legendary guitar-and-drums instrumental from 1978—was the obvious choice. But who could accurately transcribe such a groundbreaking piece? The answer: a young Steve Vai, fresh off recording his Flex-Able solo album. At just 23, Vai was a Berklee College of Music graduate and a member of Frank Zappa's band. His meticulous handwritten transcription of Eruption—complete with detailed performance notes—was nothing short of a work of art. Fast-forward 40 years: In January 2025, Jas posted a podcast interview with Vai from his Skyscraper era with David Lee Roth. The response was overwhelming, so we knew fans would love to see this historic transcription. Steve graciously gave his permission, joking that he might question its accuracy today after so many years and notes played! This original 1984 transcription is now archived in the University of North Carolina's Southern Folklife Collection, thanks to the efforts of Shaw Lentz and the SFC team. Now, we're bringing it to you in high-resolution detail!

Ohne Aktien-Zugang ist's schwer? Starte jetzt bei unserem Partner Scalable Capital. Alle weiteren Infos gibt's hier: scalable.capital/oaws. Aktien + Whatsapp = Hier anmelden. Lieber als Newsletter? Geht auch. Das Buch zum Podcast? Jetzt lesen. Deutschland setzt auf Thyssenkrupp & BAE. SFC & Steyr Motors feiern. Intel feiert neuen CEO. Affirm feiert Klarna-Deal mit Walmart gar nicht. Buffett kauft bei Mitsui, Mitsubishi, Sumitomo, Itochu und Marubeni nach. Pepsi kauft Darmgesundheit, BYD will Deutschland. Viper Energy (WKN: A3EYBR) verdient Geld mit Öl, aber hat keine Arbeit mit Öl. Das perfekte Business? Nicht ganz so perfekt wie Texas Pacific Land (WKN: A2QL4H), aber dafür deutlich günstiger. Beiersdorf (WKN: 520000) hat Zolldruck aus USA und Konsum-Druck aus China. Aber Beiersdorf hat auch zwei Milliardäre und ein Jahr nur für Indien. Diesen Podcast vom 18.03.2025, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung.

Join Travis & Eric on the show today & the guys talk about the state tournament getting under way at the SFC, St. A battles back but cant overcome the slow start, it's on to the 3rd place game for the Dawgs, college basketball with all the tournaments that matter are off and going, Illinois gets going today against good ol Iowa!! 

Join Travis & Eric on the show today & the guys talk about the local boys basketball sectional championships from Friday, super sectional games tonight who's going to SFC later this week to play for a state title, girls basketball comes to a conclusion for the year, what area athletes made the all state teams, college basketball ends the regualr season, Illinois finally beats Purdue after coming up short in the last 5 trys!!  

Garret features an exclusive interview with Holy Ghost Record Club curator Hannah Herron. Plus get the deets on the latest crowdfunding campaigns. --- SPOTLIGHT CAMPAIGN ---* Robert Deeble - The Space Between Us* https://www.kickstarter.com/projects/505565390/robert-deeble-a-new-album-the-space-between-us --- OTHER CAMPAIGNS ---* Ronnie Martin - Consume Like a Moth What Is Dear - https://velvetbluemusic.com/?product=ronnie-martin-consume-like-a-moth-what-is-dear * Zion Reynolds - debut album https://www.gofundme.com/f/zion-reynolds-debut-album * Disciple - Long Live the Rebels vinyl reissue - https://girdermusic.com/products/disciple-long-live-the-rebels-silver-bullet-limited-run-vinyl * Bride, Sacred Warrior, Deliverance - Live at Cornerstone Fest 2001 - https://boonesoverstock.com/blogs/news/bride-sacred-warrior-deliverance-live-at-cornerstone-fest-2001-cd-vinyl * Three Deliverance albums vinyl reissue - https://boonesoverstock.com/collections/pre-orders?page=2 * SFC, Gospel Gangstas reissues - https://boonesoverstock.com/blogs/news/s-f-c-gospel-gangstas-classic-holy-hip-hop-cd-vinyl-reissues* Rose Blossom Punch - Ephemere remaster-reissue - https://aaronsprinklemusic.com/ * The Choir - Circle Slide post asking for feedback - https://www.facebook.com/TheChoir/posts/pfbid0UrjmCP69zc1WoN9FAsrBE5qSVKR9dMcp4yE4WHwP4XaWyDQ5D76sCmoi3zfxwFEDl * Holy Ghost Record Club Website - https://holyghostrecord.club/ Store - https://holyghostrecord.shop/ Instagram - https://www.instagram.com/holyghostrecord.club/ Patreon - https://www.patreon.com/c/HolyGhostRecordClub/posts --- CREDITS ---* Host/Producer - Garret Godfrey* Executive Producer - Dave Trout*Playlist of over 100 great artists all with under 10K monthly listeners - https://open.spotify.com/playlist/4kVNh7DVpO5eoMssGS2Lmi?si=eb1bb0f5aa5c487c * SPONSOR: 'Roots & Rhythm' by Charlie Peacock - https://is.gd/cprootsrr* UTR's Critics Picks Playlist - https://utrmedia.org/cp0225* Good Patrons email newsletter - https://utrmedia.us14.list-manage.com/subscribe?u=85113034823cd07c83d277cad&id=ca2fe47e5d *All the socials - https://linktr.ee/goodpatronpodcast * Email: goodpatronpodcast@gmail.com * Podchaser: https://www.podchaser.com/podcasts/good-patron-utr-media-555222 * All songs used are with permission or under fair use provisions(c) 2025 UTR Media. All Rights Reserved. A 501(c)(3) non-profit org - info at https://utrmedia.org

As its half term we wanted to provide some SFC (safe for car) content to all the families driving back from half term trips. This is an excerpt from Dan's young friendly book IMPOSSIBLE THINGS.It's the perfect book for young curious minds who love to ask WEIRD and WONDERFUL questions.Want to impress your friends and family with some BANANAS but TRUE facts? Then discover the world of impossible things with Dan Schreiber. This book will give you the answers to all of your big questions, no matter how silly! From discovering if monsters are real to seeking out haunted sausage rolls, exploring the world's strangest curses to finding the truth about time travel, this book has everything!With hilarious illustrations and comic strips in every chapter, you won't want to put this book down!Available from all good book shops, and online. Check it out on Amazon: https://amzn.eu/d/04XKIkuf

We discuss the terrible loss to Michigan State and everything surrounding a terrible night at SFC as well as preview the matchup at Wisconsin.LIKE AND SUBSCRIBE! Follow our Social Media Accounts: MERCH: https://illinibasketballpodcast-shop.fourthwall.com/ - http://www.X.com/PodcastIllini - https://podcasters.spotify.com/pod/show/illini-basketball-podcast - http://www.facebook.com/illinibasketballpodcast - https://www.youtube.com/@illinibasketballpodcast - http://www.X.com/EthanCarterSW - http://www.X.com/tbramleyibp - https://www.instagram.com/illinibasketballpodcast/?igshid=Zjc2ZTc4Nzk%3D **We do NOT own the rights to the introduction.

Kraken secures an EU license for derivatives trading. Coinbase's CLO to testify on 'Chokepoint 2.0.' Crypto.com and Kalshi face scrutiny over Super Bowl bets. Hong Kong's SFC expands crypto oversight. Coinbase gains UK approval for digital assets. Bitcoin and Ethereum ETF inflows shrink amid market volatility.RESOURCEShttps://www.coindesk.com/policy/2025/02/04/kraken-secures-license-to-enter-eu-derivatives-markethttps://decrypt.co/304275/coinbase-clo-to-address-operation-chokepoint-2-0-in-congressional-hearinghttps://www.coindesk.com/policy/2025/02/04/probe-of-crypto-com-kalshi-s-super-bowl-bets-is-about-the-nature-of-gaming-crypto-lawyerhttps://www.theblock.co/post/338676/hong-kongs-sfc-proposes-expanding-crypto-regulatory-staff-in-new-fiscal-budget?utm_source=rss&utm_medium=rsshttps://decrypt.co/304229/coinbase-gains-approval-to-offer-digital-asset-services-in-the-ukhttps://decrypt.co/304148/bitcoin-and-ethereum-etf-flows-fall-amid-crypto-market-chaosSecure your Business & Digital Life with Cyber Strategy Institute https://www.thegrowmeco.com/course/https://cyberstrategyinstitute.com/warden/ https://csi-store.samcart.com/products/wardenguard-personal-1device-annual/?coupon=DCN_Wardenhttps://csi-store.samcart.com/products/wardenvault-personal-managed-1device-annual?coupon=DCN_Warden WHERE TO FIND DCNhttps://substack.com/@dcndailycryptonewshttps://twitter.com/DCNDailyCrypto Trader Cobb X: @TraderCobbEMAIL USmatt@dailycryptonews.net——————————————————————***NOT FINANCIAL, LEGAL, OR TAX ADVICE! JUST OPINION! I AM NOT AN EXPERT! I DO NOT GUARANTEE A PARTICULAR OUTCOME I HAVE NO INSIDE KNOWLEDGE! YOU NEED TO DO YOUR OWN RESEARCH AND MAKE YOUR OWN DECISIONS! THIS IS JUST EDUCATION & ENTERTAINMENT! ©Copyright 2024 Matthew Aaron Podcasts LLC Hosted on Acast. See acast.com/privacy for more information.

This week we're bringing you new heat from Miles Minnick & Iamsu!, Parris Chariz & Mission, Caleb Gordon and Canon! Our Back In The Day segment gives us classic bangers from Boogiemonsters, Andale and SFC! We drop new music from Brinson, NuTone and Lul DreDay & CJ Emulous! Plus, listener submissions from Gregg Styles! Elevate Your Music & Elevate Your Mind!

January 22, 2025 - Season 15, Episode 82 of The Terrible Podcast is now in the can. In this Wednesday morning episode, Alex Kozora and I get right to discussing the latest news concerning the Pittsburgh Steelers. We go over the latest Reserve/Future signing the Steelers made since our last show and how it's looking increasingly like OC Arthur Smith will remain in Pittsburgh for at least another season. Steelers S Miles Killebrew was named a Pro Bowl Games replacement on Wednesday, so we make sure to hit that bit of news as well. The eighth episode of the SFC version of Hard Knocks aired Tuesday night so Alex and I go over the parts that included the Steelers. We discuss what HC Mike Tomlin said to his team to wrap up the 2024 season and go over the conversion that CB Joey Porter Jr. had with DB coach Grady Brown. Alex and I discuss the Steelers player that is the face of the franchise and team leader right now and which players, if any, are poised to assume that role or roles once DT Cameron Heyward retires. Pro Football Focus recently released their top 75 free agents for the upcoming offseason along with the contract projections for each. Alex and I go over the five Steelers players on that PFF list and also discuss a few others on it the time might be interested in pursuing during free agency. We spend a lot of time discussing the projected contracts of QB Justin Fields and QB Russell Wilson for obvious reasons. With draft season now here, Alex wonders if the Steelers might have interest in Alabama QB Jalen Milroe. Alex will be posting his draft profile he did on Milroe soon. Finally, Alex and I get to several more of the emails that listeners have sent us over the course of the lasty several days. This 97-minute episode also discusses several other minor topics not noted in the recap. steelersdepot.com Learn more about your ad choices. Visit megaphone.fm/adchoices

À l'occasion des 35è Journées européennes de cardiologie qui se tiennent du 15 au 17 janvier 2025 au Palais des Congrès de Paris, nous faisons un point sur les spécificités en Afrique subsaharienne (formation, épidémiologie, plateau technique, accès aux soins), en réunissant 3 spécialistes venus partager leurs expériences respectives. Pr Kouadio Euloge Kramoh, directeur général de l'Institut de Cardiologie d'Abidjan (Côte d'Ivoire). Past-Président de la Société Ivoirienne de Cardiologie. Past-Président des Sociétés de Cardiologie de l'Afrique de l'Ouest et du Centre. Co-président du groupe de cardiologie tropicale de la SFC  Pr Khaled Boye, chef du service de Chirurgie cardiovasculaire au Centre National de Cardiologie, Nouakchott, Past président de la Société Mauritanienne de cardiologie  Dr Jean-Jacques Monsuez, rédacteur en chef d'Archives des Maladies du Cœur et des Vaisseaux (journal de formation continue de la Société française de cardiologie), co-président du groupe de cardiologie tropicale de la SFC, Cardiologie, Hôpital René-Muret à Sevran, France. ►  En fin d'émission, nous retrouvons la chronique sexualité de Noëlle Cayarcy, sexologue à Paris.Programmation musicale :► Louane – Donne-moi ton cœur► Asake, Wizkid – MMS.

À l'occasion des 35è Journées européennes de cardiologie qui se tiennent du 15 au 17 janvier 2025 au Palais des Congrès de Paris, nous faisons un point sur les spécificités en Afrique subsaharienne (formation, épidémiologie, plateau technique, accès aux soins), en réunissant 3 spécialistes venus partager leurs expériences respectives. Pr Kouadio Euloge Kramoh, directeur général de l'Institut de Cardiologie d'Abidjan (Côte d'Ivoire). Past-Président de la Société Ivoirienne de Cardiologie. Past-Président des Sociétés de Cardiologie de l'Afrique de l'Ouest et du Centre. Co-président du groupe de cardiologie tropicale de la SFC  Pr Khaled Boye, chef du service de Chirurgie cardiovasculaire au Centre National de Cardiologie, Nouakchott, Past président de la Société Mauritanienne de cardiologie  Dr Jean-Jacques Monsuez, rédacteur en chef d'Archives des Maladies du Cœur et des Vaisseaux (journal de formation continue de la Société française de cardiologie), co-président du groupe de cardiologie tropicale de la SFC, Cardiologie, Hôpital René-Muret à Sevran, France. ►  En fin d'émission, nous retrouvons la chronique sexualité de Noëlle Cayarcy, sexologue à Paris.Programmation musicale :► Louane – Donne-moi ton cœur► Asake, Wizkid – MMS.

On this edition of Behind the Shield, Zak and Brad get back to Washington's roots, sitting down with native Washingtonians doing great work for their community and following their dreams: Jackson Ragen and Paul Rothrock, and Corporate Social Responsibility Manager at Regence BlueShield, Celicia Yeoman. Jackson and Paul grew up playing youth soccer together, and are now living a shared dream of playing for their hometown squad. Celicia manages volunteer and giving opportunities for Regence employees, truly giving back to the place she's always called home. From elite athletes who proudly wear our SFC crest, to community members who have shown extraordinary grit and determination in their everyday lives, ‘Behind The Shield' pulls back the curtain and honors these individuals, reminding us that we are all capable of greatness. Learn more at SoundersFC.com/Behind-the-Shield.

On this edition of Behind the Shield, Zak and Brad talk to two true caregivers in the community: Sounders forward Jordan Morris, and Customer Service Professional at Regence BlueShield, Buffy Anderson. Jordan has exemplified being a caregiver for himself and others through his own Type 1 diabetes TD1 diagnosis, and through the work his charitable foundation has accomplished, and is now learning the fundamentals of a new caregiver role: becoming a Dad. Buffy helps thousands of Regence members navigate an often-complicated health care system and meet the health care needs of themselves and their loved ones. From elite athletes who proudly wear our SFC crest, to community members who have shown extraordinary grit and determination in their everyday lives, ‘Behind The Shield' pulls back the curtain and honors these individuals, reminding us that we are all capable of greatness. Learn more at SoundersFC.com/Behind-the-Shield.