Podcasts about Axis

In Episode 469 of Hidden Forces, Demetri Kofinas speaks with Hamidreza Azizi — Iranian scholar, visiting fellow at the German Institute for International Security Affairs, nonresident fellow at the Middle East Council on Global Affairs, and author of the forthcoming The Axis of Resistance: Iran, Israel, and the Struggle for the Middle East — about how the US and Israeli military campaign against Iran has evolved over its first three weeks, and what the conflict's trajectory reveals about the competing strategic objectives driving it. The conversation opens with an assessment of how the war has unfolded since its start, examining where US and Israeli objectives align, where they diverge, and what those divergences mean for the conflict's direction. Azizi and Kofinas discuss the significance of the targeted killing of Ali Larijani — secretary of Iran's Supreme National Security Council — as part of a broader campaign to decapitate the Islamic Republic's leadership structure, and what the systematic elimination of senior Iranian officials means for Tehran's ability to manage both the military and political dimensions of the war simultaneously. The conversation then turns to the nuclear question — specifically whether the war has made a nuclear-armed Iran more likely rather than less — before examining the divergent responses of the Gulf states and the key variables Azizi believes are most important for understanding where this conflict goes from here. Subscribe to our premium content—including our premium feed, episode transcripts, and Intelligence Reports—by visiting HiddenForces.io/subscribe. If you'd like to join the conversation and become a member of the Hidden Forces Genius community—with benefits like Q&A calls with guests, exclusive research and analysis, in-person events, and dinners—you can also sign up on our subscriber page at HiddenForces.io/subscribe. If you enjoyed today's episode of Hidden Forces, please support the show by: Subscribing on Apple Podcasts, YouTube, Spotify, Stitcher, SoundCloud, CastBox, or via our RSS Feed Writing us a review on Apple Podcasts & Spotify Join our mailing list at https://hiddenforces.io/newsletter/ Producer & Host: Demetri Kofinas Editor & Engineer: Stylianos Nicolaou Subscribe and support the podcast at https://hiddenforces.io. Join the conversation on Facebook, Instagram, and Twitter at @hiddenforcespod Follow Demetri on Twitter at @Kofinas Episode Recorded on 03/17/2026

"My dear Duce, it's no longer any good… At this moment you are the most hated man in Italy.”  This is the story of Operations Underworld, Mincemeat, and Husky.  On the heels of the decisive Allied victory in Africa, leaders decide to take the fight north. But Hitler and Mussolini surely know they'll be aiming for Sicily next, right? Actually, pre-Husky Allied intelligence victories have the Germans and Italians barking up the wrong tree (shoring up the wrong island defenses), all thanks to one Major William Martin.  Meanwhile, back in mainland Europe, Germany is wondering if Italy is still 100% committed to the Fascist alliance. After all, Mussolini's popularity is tanking, and it looks like he might get the boot any day. Things are… uncertain, to say the least. How will the combined Allied forces fare in Sicily? Which army will win the race to catch the Axis retreaters at Messina? Will George Patton get promoted again, as he so desperately wants? And perhaps most importantly—where to next?  ____ Connect with us on HTDSpodcast.com and go deep into episode bibliographies and book recommendations join discussions in our Facebook community get news and discounts from The HTDS Gazette  come see a live show get HTDS merch or become an HTDS premium member for bonus episodes and other perks. HTDS is part of Audacy media network. Interested in advertising on the History That Doesn't Suck? Contact Audacyinc.com. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

The Prism of America's Education with Host Karen Schoen – The shift from WWII-era indirect alignment (Allies vs. Axis) to postwar alliance, then post-1979 hostility, culminated in a direct US-Iran war in 2025–2026 over nuclear threats, regional power, and regime goals. Events remain fluid. It is important you do your own research. I found it very interesting that each source has a different interpretation...

This week, we're sharing our interview with Elia Ayoub, an anti-authoritarian historian and essayist originally from Lebanon, co-founder of From The Periphery media collective, co-host of The Fire These Times podcast and many more things. We spoke about the US and Israeli war on Iran, it's escalations into the wider region of west Asia, the Axis of Resistance, nuclear weapons, motivations of the various actors involved and thoughts on where that leaves anti-authoritarians in the imperial core countries like the US. Elia links You can contact Elia by email at ayoub@thefirethesetimes.com or on Signal at @ ayoub.02 Elia's blog ( https://www.hauntologies.net/about ) and Ko-Fi account ( https://ko-fi.com/eliaayoub ) Elia's Lebanon class: https://thefirethesetimes.com/lebanonclass/ Where you'll soon find Elias latest +972 article: https://www.972mag.com/writer/elia-ayoub/ From The Periphery Patreon: https://www.patreon.com/fromtheperiphery FTP website: https://fromtheperiphery.com/ The Fire These Times Podcast: https://firenexttime.net/why-neutral-anti-imperialism-keeps-losing/ Related Episodes: Our recent interview about Iran before the war: https://thefinalstrawradio.noblogs.org/post/2026/02/15/death-to-the-dictator-uprising-and-repression-in-iran-with-anarchism-perspective/ Past interviews we've done with Elia: https://thefinalstrawradio.noblogs.org/post/category/elia-j-ayoub/ Mutual Aid in Lebanon Instagrams featuring info on some mutual aid efforts in Lebanon: https://www.instagram.com/p/DVovwUojIYq/ https://www.instagram.com/beirutbydyke/p/DVbTtyciK7m/ Lebanon Emergency Relief: https://www.chuffed.org/project/171933-lebanon-emergency-relief A Queer Lebanese mutual aid project involving Elia's co-creator, Ayman Makruem: https://www.patreon.com/qmalebanon . ... . .. Featured Track: TFSR by The Willows Whisper

9. Paul Thomas Chamberlain: Discusses the racialized nature of World War II propaganda and civilizational struggle,. He explores how Allied and Axis powers utilized racial hierarchies and examines Japan's colonial ambitions and cruelty in Asia,,. (35 words) (9)1943 QUEBEC

In this episode, Seerat is joined by Dr. Kara Margolis, the professor of molecular pathobiology, pediatrics, and cell biology at New York University and the director of the NYU Pain Research Center. They begin to discuss the connection between our gut and brain, and how what we consume impacts this axis.

The Italo-Greek War, which began as a purely regional conflict in October 1940, would transform into a broader European confrontation as both Germany and Britain made the fateful decision to intervene in Greece. For the Germans, concerns about protecting vital Romanian oil fields from potential British air attacks, combined with fears of Italian collapse, drove the planning of Operation Marita, an invasion designed to secure the Balkans before the launch of Barbarossa. Meanwhile, Churchill and the British leadership saw Greece as an opportunity to distract Axis forces, demonstrate support for smaller nations, and potentially build a Balkan alliance with Yugoslavia and Turkey. Greek leader Metaxas initially resisted British ground forces, fearing they would provoke German intervention, but his death in January 1941 led to a shift in policy under his successor. As German forces moved into Romania and Bulgaria throughout early 1941, and British RAF squadrons began arriving in Greece, both sides prepared for a confrontation that would expand the war far beyond the mountains of Albania where Italian and Greek forces had been locked in bitter combat. History of the Second World War is part of the Airwave Media podcast network. Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠megaphone.f⁠⁠⁠m Learn more about your ad choices. Visit megaphone.fm/adchoices

Three Big Conversations: Timothée Chalamet angers opera singers and ballerinas - 06:46 Harry Styles' new album debuts to middling reviews - 19:00 Donna Kelce's home renovation becomes the internet's favorite distraction - 30:26 Slang of the Week: "Big Chungus Life" - 01:34 In Other News: - 45:45 Miami Heat player Bam Adebayo scored 83 points in a game this week, passing Kobe Bryant's 81 points for the second-most points in a single game in NBA history. (Wilt Chamberlain's 100-point game from 1962 still stands as the #1 record.) According to the Wall Street Journal (paywall), Gen Z is driving a resurgence in mall shopping, with many malls redesigning public spaces to be more "photogenic" and social-media friendly, as well as popular online stores like Edikted opening brick-and-mortar locations. For some middle schoolers, the word "burger" is now funny, thanks to a clip from Disney+'s show Just Beyond going viral, alongside absurd TikTok edits like this one. The controversial AI-generated "actress" Tilly Norwood was featured in a new music video, in which she was made to sing verses like "AI's not the enemy, it's the key." According to an article from Fortune (paywall), Gen Z is becoming more skeptical of TikTok, with 53 percent saying TikTok feels more commercial than it did a year ago, and 72 percent agreeing that content now feels more staged and performative.

It seems our heroic trio will have to think on their feet if they stand any chance of making it out of this one alive.---If you want to know what happens to our trio after the events of this thrilling finale you can time travel right now to catch up with Arcs 2 & 3 by joining The Rotating Heroes Patreon!If you want even more actual play goodness in your life you should check out 12 Sided Studios' new show Oaths and Empires. A brand new TTRPG actual play featuring Luke Dale and Tom McKay and set in a Witcher-esk inspired world, as our two rookie players navigate their very first game.

Uncover the hidden WWII history of 600 ships sunk off the U.S. coast. In this episode, Sara Vladic discusses The Dangerous Shore and civilians who fought back.Episode Resources:"The Dangerous Shore" by Sara VladicThe USS Indianapolis Legacy OrganizationCBS News: Discovery and History of the USS Eagle 56Smithsonian Magazine: The Citizen Sailors of the Picket PatrolThe Mob Museum: Operation Underworld and Lucky LucianoMost Americans believe the two massive oceans flanking the United States kept the home front completely safe during World War II, but the terrifying reality is far from the truth. In this episode of Books and Looks, host Blaine DeSantis sits down with author Sara Vladic to uncover the shocking, hidden history of coastal attacks and civilian heroes detailed in her spectacular new book, The Dangerous Shore. By tuning in, you'll discover the astonishing true stories of the everyday citizens who stepped up to defend a vulnerable nation when the military simply didn't have the resources to do it themselves. We dive deep into the classified secrets of the American home front, exploring how over 600 ships were quietly sunk by German U-boats in U.S. coastal waters while the government maintained a strict media blackout. Sara reveals the fascinating, unlikely coalition of defenders who actively fought Axis powers on our shores, ranging from female pilots in the newly formed Civil Air Patrol to a teenager who inadvertently tracked down Nazi saboteurs in a Maine blizzard. The most compelling revelation centers on how Meyer Lansky and the mafia secretly collaborated with Naval Intelligence to protect New York's ports - but you'll have to listen to find out why unchecked pride and bureaucratic rivalries within the intelligence community ultimately cost thousands of civilian lives. If you love uncovering the untold secrets of World War II history, be sure to subscribe to Books and Looks and leave us a review! Check out the show notes for a link to grab your own copy of Sara Vladic's eye-opening book, The Dangerous Shore.

Live Recorded Set from VirtualDJ Radio PowerBase

Live Recorded Set from VirtualDJ Radio ClubZone

Timothée Chalamet angers opera singers and ballerinas, Harry Styles' new album debuts to middling reviews, and Donna Kelce's home renovation becomes the internet's favorite distraction. Slang of the Week: "Big Chungus Life" In Other News: Miami Heat player Bam Adebayo scored 83 points in a game this week, passing Kobe Bryant's 81 points for the second-most points in a single game in NBA history. (Wilt Chamberlain's 100-point game from 1962 still stands as the #1 record.) According to the Wall Street Journal (paywall), Gen Z is driving a resurgence in mall shopping, with many malls redesigning public spaces to be more "photogenic" and social-media friendly, as well as popular online stores like Edikted opening brick-and-mortar locations. For some middle schoolers, the word "burger" is now funny, thanks to a clip from Disney+'s show Just Beyond going viral, alongside absurd TikTok edits like this one. The controversial AI-generated "actress" Tilly Norwood was featured in a new music video, in which she was made to sing verses like "AI's not the enemy, it's the key." According to an article from Fortune (paywall), Gen Z is becoming more skeptical of TikTok, with 53 percent saying TikTok feels more commercial than it did a year ago, and 72 percent agreeing that content now feels more staged and performative.  

Live Recorded Set from VirtualDJ Radio ClubZone

Live Recorded Set from VirtualDJ Radio ClubZone

We've now entered the second week of the US-Israeli war on Iran. Donald Trump's War Secretary Pete Hegseth has boasted about the US military machine bringing “death and destruction” to the country. Afshin Matin-Asgari joined Long Reads on Monday, March 9, to discuss the war. Afshin is a professor of Middle East history at California State University in Los Angeles. His most recent book is Axis of Empire: A History of Iran–US Relations. Read Afshin's coverage of the protests from January: https://jacobin.com/2026/01/iran-protests-khamenei-trump-israel And an edited transcript of this podcast interview here: https://jacobin.com/2026/03/trump-iran-regime-war-israel Long Reads is a Jacobin podcast looking in-depth at political topics and thinkers, both contemporary and historical, with the magazine's writers. Hosted by features editor Daniel Finn. Produced by Conor Gillies with music by Knxwledge.

The U.S. and Israel have attacked Iran and killing some of the Islamic Republic's top leaders, including Ayatollah Ali Khamenei. Iran has responded with attacks on Israel, U.S. bases in the Gulf Region, oil infrastructure and by closing the Strait of Hormuz. There is a long history of Iranian and U.S. relations and this war is another part of it. In our latest, we talk with Prof. Afshin Matin-Asgari, author the new book "Axis of Empire: A History of Iran–US Relations," about the current conflict and the relationship over the past 76 years including the overthrow of Mossadegh, the Shah's brutal regime, the Islamic Revolution, the Iran-Iraq war, Iranian adventures in the Gulf, the Obama nuclear deal and the conflict between Trump and Iran's leaders. Bio//Born in Iran, Afshin Matin-Asgari studied in the United States, where he was active in the 1970s anti-shah student opposition. He returned to Iran to participate in the revolution. He lives in the United States and is Professor of Middle East History at California State University, Los Angeles. Matin-Asgari has published two scholarly monographs and more than two dozen articles and book chapters on mod­ern Iranian political and intellectual history, focusing in particular on leftist thought and movements. -------------------------

On today's program we look closely at the claims by the Trump/Rubio/Hegseth axis that they are bringing democracy to Iran even as they push to continue a carpet bombing campaign now entering its third week. Then we address the recent Summit of the Americas that saw 12 nations in the region in what is being called a “selective partnership” with Trump taking center stage. Not invited and noticeably absent to Trump's summit and photo op were the leaders of three of Latin America's largest economies, Brazil, Mexico and Colombia. Finally, we discuss war crimes, what defines them and why are the US and Israel accused of committing them in first Palestine and now Iran? An award winning front-line investigative news magazine, that focuses on human, civil and workers right, issues of war and peace, Global Warming, racism and poverty, and other issues. Hosted by Dennis J. Bernstein. The post We Look Closely at the Claims by the Trump/Rubio/Hegseth Axis that They are Bringing Democracy to Iran appeared first on KPFA.

Live Recorded Set from VirtualDJ Radio PowerBase

Live Recorded Set from VirtualDJ Radio ClubZone

This week we talk about Khamenei, Trump, and Netanyahu.We also discuss Venezuela, Cuba, and cartels.Recommended Book: Plagues upon the Earth by Kyle HarperTranscriptAli Hosseini Khamenei was an opposition politician in the lead-up to the Iranian Revolution that, in 1979, resulted in the overthrow of the Shah—the country's generally Western government-approved royal leader—and installed the Islamic Republic, an extremely conservative Shia government that took the reins of Iran following the Shah's toppling.Khamenei was Iran's third president, post-Shah, and he was president during the Iran-Iraq War from 1981-1989, during which the Supreme Leader of Iran, the head of the country, Ruhollah Khomeini sought the overthrow of then Iraqi leader Saddam Hussein. Khomeini died the same year the war ended, 1989, and Khamenei was elected to the role of Supreme Leader by the country's Assembly of Experts, which is responsible for determining such roles.The new Supreme Leader Khamenei was reportedly initially concerned that he wasn't suitable for the role, as his predecessor was a Grand Ayatollah of the faith, while he was just a mid-rank cleric, but the constitution of Iran was amended so that higher religious office was no longer required in a Supreme Leader, and in short order Khamenei moved to expound upon Iran's non-military nuclear program, to expand the use and reach of the Islamic Revolutionary Guard Corps, in-country and throughout the region, and he doubled-down on supporting regional proxies like Hezbollah in Lebanon, the Houthis in Yemen, and Hamas in Gaza, incorporating them into the so-called Axis of Resistance that stands against Western interests in the region—the specifics of which have varied over the decades, but which currently includes the aforementioned Hezbollah and Houthis, alongside smaller groups in neighboring countries, like Shiite militias in Bahrain, and forces that operate in other regional spheres of influence, like North Korea, Venezuela, and at times, portions of the Syrian government.Khamenei also reinforced the Iranian government's power over pretty much every aspect of state function, disempowering political opponents, cracking down on anyone who doesn't toe a very conservative extremist line—women showing their hair in public, for instance, have been black-bagged and sometimes killed while in custody—and thoroughly entangled the functions of state with the Iranian military, consolidating essentially all power under his office, Supreme Leader, while violently cracking down on anyone who opposed his doing whatever he pleased, as was the case with a wave of late-2025, early 2026 protests across the country, during which Iranian government forces massacred civilians, killing somewhere between 3,000 and 35,000 people, depending on whose numbers you believe.What I'd like to talk about today is a new war with Iran, kicked off by attacks on the country from Israel and the United States that led with the killing of Khamenei and a bunch of his higher-up officers, how this conflict is spreading across the region and concerns about that spreading, and what might happen next.—On February 28, 2026, the US and Israel launched a wave of joint air attacks against Iran, hitting mostly military and government sites across the country. One of the targets was Khamenei's compound, and his presence there, above-ground, which was unusual for him, as he spent most of his time deep underground in difficult-to-hit bunkers, alongside a bunch of government and military higher-ups, may have been the rationale for launching all of these attacks on that day, as the attackers were able to kill him and five other top-level Iranian leaders, who he was meeting with, at the same time.This wave of attacks followed the largest military buildup of US forces in the Middle East since the invasion of Iraq back in 2003, and while military and government targets were prioritized, that initial wave also demolished a lot of civilian structures, including schools, hospitals, and the Grand Bazaar in Tehran, leading to a whole lot of civilian casualties and fatalities, as well.In response, Iran launched hundreds of ballistic missiles and drones at Israel, and at US bases throughout the region—these bases located in otherwise uninvolved countries, including Qatar, Bahrain, the UAE, Kuwait, Iraq, Jordan, and Saudi Arabia. Iranian missiles and drones also hit non-military targets, and in some cases maybe accidentally hit civilian infrastructure, in Azerbaijan, and Oman, alongside a British military base on the island of Cyprus.The Iranian president apologized in early March for his country's lashing out at pretty much everyone, saying that there were miscommunications within the Iranian military, and that Iran wouldn't hit anyone else, including countries with US bases, so long as US attacks didn't originate from those bases.Despite that apology, though, Iranian missiles and drones continued to land in many of those neighboring countries following his remarks, raising questions about communications and control within the now-decapitated Iranian military.This new conflict follows long-simmering tensions between Iran and Israel—the former of which has said it will someday wipe the latter from the face of the Earth, considering its existence an abomination—and long-simmering tensions related to Iran's nuclear program, which the government has continuously said is just for civilian, energy purposes, but which pretty much everyone suspects, with a fair bit of evidence, is, in parallel, also a weapons program.Iran's influence throughout the region has been truncated in recent years, due to a sequence of successes by the Israeli military and intelligence services, which allowed them to hobble or nearly wipe out traditional Iranian proxy forces like Hamas, Hezbollah, and the Houthis, which have collectively surrounded and menaced Israel for decades.Those menacing forces more or less handled, Israel has become more aggressive in its confrontations with Iran, exchanging large air attacks several times over the past handful of years, and the US under Trump's second term continues to see Iran as the main opposition to their efforts to build a US-aligned counterbalance against Russian and Chinese influence in the Middle East, with Israel, Saudi Arabia, and increasingly entities like Qatar and the UAE playing ball with the West, while Iran and its allies stand firm against the West.Trump has regularly threatened to act in Iran, usually waiting for the Iranian government to do something really bad, like that recent massacre of civilians following those large anti-government protests in late-2025, early 2026, and that to some degree has served as justification for the massing of US military assets in the region, leading up to this attack.Now that the attack has launched, a new war triggered, the question is how big it will get and how long it will last.For the moment, it looks like Iran's government and military is very much on the back foot, a lot of their assets taken out in that initial wave, and they're still scrambling to put someone in charge to replace Khamenei and those other higher-ups who were assassinated at the outset of this war—that'll likely change soon, maybe even before this episode goes live. But whomever takes the reins will have quite the task ahead of them, probably—according to many analysts, at least—aiming to just hold out until the US runs out of ammunition, which is expected to happen within a week or so, at which point Iran can launch surgical attacks, aiming to make this war too expensive, in terms of money and US lives, for the Trump administration to continue investing in, as money and lives are especially expensive in an election year, which 2026 is. So the idea is to grind the US down until it makes more political sense for Trump to just declare victory and leave, rather than allowing this to become a Vietnam or Afghanistan situation for his administration.It's also generally expected that when the US pulls out, Israel probably will too, as they've already made their point, tallied a bunch of victories, and set Iran back in a lot of ways; they could walk away whenever they like and say they won. And Iran would probably be incentivized to, at that point, avoid doing anything that would lead to more punishment, though they would almost certainly immediately begin rebuilding the same exact centralized, militarized infrastructure that was damaged, the only difference being they would have someone else on top, as the Supreme Leader. Relations could be even worse moving forward, but it would probably be at least a few years before Iran could do anything too significant to their regional enemies, which I guess if you're Israel does, in fact, represent a win.But considering the unlikelihood of permanent change in Iran, the big question here, in the minds of many, is what this war, this attack, is even for.For Israel, the main purpose of any attack against Iran is to weaken or destroy an enemy that has made no secret about wanting to weaken and destroy them. For the US, though, and the Trump administration more specifically, the point of all this isn't as clear.Some contend that this is another effort to steal attention and headlines from the increasingly horrifying revelations coming out of the investigation into the Epstein files, which seem to indicate Trump himself was involved in all sorts of horrible, pedophilic sexual assault activities with the late human-trafficker.Some suspect that the apparent victory in grabbing former Venezuelan president Maduro from his own country and whisking him away to the US without suffering any US casualties has emboldened Trump, and that he's going to use the time he's got to take out anyone he doesn't like, and may even specifically target authoritarian leaders who will not be missed—who oppress and kill their own people—because then it's difficult for his political opponents to call him out on these efforts.Most Venezuelans are happy to see Maduro gone, and many Iranians celebrated when Khamenei was assassinated. Trump has publicly stated that he intends to go after Cuba, next, and continues to suggest he wants a war of sorts with Mexican and south and central American cartels, which follows this same pattern of demonstrating a muscular, aggressive, militarized United States doing whatever it wants, even to the point of kidnapping or assassinating foreign leaders, but doing so in a way that is difficult to argue against, because the leaders and other forces being taken out are so horrible, at times to the point of being monstrous, that these acts, as illegal as they are according to internal laws, can still seem very justified, through some lenses.Still others have said they believe this is purely an Israeli op, and the US under Trump is just helping out one of Trump's buddies, Israel's Netanyahu, who wants to keep his country embroiled in war in order to avoid being charged for corruption.The real rationale could be a combination of these and other considerations, but the threat here, regionally, is real, especially if Iran continues to lash out at its neighbors.This part of the world is renowned for its fuel reserves and exports, and every time there's a Middle Eastern conflict, energy prices rise, globally, and other nations that produce such exports, like Russia, benefit financially because they can charge more for their oil and gas for a while—gas prices in the US have already increased by 14% over the past week as a result of the conflict—and those increases also then the raises the price of all sorts of other goods, spiking inflation.Another huge concern here, though, is that this part of the world is highly reliant on the desalination of water just to survive; massive desalination plants, most located along the coast, where they are very exposed to military threats, are at risk if Iran and Saudi Arabia, or Kuwait, or Oman start firing at each other in earnest.About 90% of Kuwait's drinking water comes from these sorts of plants, and about 86% of Oman's and 70% of Saudi Arabia's do, as well.Earlier in this war, a US strike damaged an Iranian desalination plant, and the Iranian foreign minister made a not-so-veiled threat against such plants in neighboring countries, saying the US set the precedent of attacking such infrastructure, not them.Worth noting here, too, is that many desalination plants are attached to power stations, located within the same facility, so attacks on power infrastructure, which are already common in any conflict, could also lead to more damaged desalination plants, all of which could in turn create massive humanitarian crises, as people living in some of the hottest, driest parts of the world find themselves, in the millions, without drinkable water.The potential for a spiraling humanitarian disaster increases with each passing day, then, which would seem to increase the likelihood that someone will stop, declare victory, and move on to the next conflict. But there's always the chance the one or more of the involved forces will clamp down and decide that it's in their best interest to keep things going as long as possible, instead—and in this case, it would likely be Iran playing that role, locking the US and Israel and their allies into a grinding, long-term conflict that no one would actually win.Show Noteshttps://en.wikipedia.org/wiki/Axis_of_Resistancehttps://en.wikipedia.org/wiki/Death_and_state_funeral_of_Ruhollah_Khomeinihttps://en.wikipedia.org/wiki/2026_Iran_massacreshttps://en.wikipedia.org/wiki/Ali_Khameneihttps://en.wikipedia.org/wiki/Assassination_of_Ali_Khameneihttps://www.eurasiareview.com/08032026-strikes-continue-despite-iranian-presidents-apology/https://www.reuters.com/world/europe/trump-rejects-settling-iran-war-raises-prospect-killing-all-its-potential-2026-03-08/https://www.reuters.com/world/us/irans-retaliation-began-us-officials-scrambled-arrange-evacuations-2026-03-07/https://www.reuters.com/world/middle-east/mapping-crisis-iran-visual-explainer-2026-03-06/https://apnews.com/live/iran-war-israel-trump-03-08-2026https://apnews.com/article/iran-israel-us-march-8-2026-f0b20dbffaea9351ae1e54183ffe53ffhttps://apnews.com/article/iran-war-desalination-water-oil-middle-east-12b23f2fa26ed5c4a10f80c4077e61cehttps://apnews.com/video/trump-says-us-will-turn-attention-to-cuba-after-war-with-iran-91c3f239c18349fdb409f901c50b7e71https://www.nytimes.com/live/2026/03/08/world/iran-war-trump-israel-lebanonhttps://www.nytimes.com/2026/03/08/us/politics/trump-russia-ukraine-iran-war.htmlhttps://www.nytimes.com/2026/03/07/us/politics/iran-war-first-week.htmlhttps://www.nytimes.com/interactive/2026/03/08/opinion/iran-war-ayatollah.htmlhttps://en.wikipedia.org/wiki/2026_Iran_war This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

"How do we talk to a skeptical generation about discipleship, and the reality of the spiritual world?"  This month, we're spotlighting the work of discipleship that parents, youth pastors, and other adults do in the lives of the next generation. We've got an upcoming podcast conversation with Dr. Kara Powell about faith formation in Gen Alpha, a new episode of our YouTube show about how Gen Alpha processes life and faith, and another on the philosophical and theological question of why does God allow pain and suffering; we're promoting a new video Conversation Kit on the topic of miracles and what God's involvement in the world looks like today.  Resources → A Parent's Guide to Discipling Teens A Conversation Kit on Miracles

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

Dr. Salazar returns to share how HD Lipo has evolved over the last five years and why realistic expectations are just as important as technology.Learn about HD Lipo recovery timelines, the importance of compression, how long it takes to see results, and why choosing an experienced plastic surgeon is critical for outcomes that look natural.From candidate selection to long-term maintenance, hear Dr. Salazar's honest look at what HD lipo can and can't do.LinksRead more about San Diego plastic surgeon Dr. Hector Salazar-ReyesLearn more about HD lipoListen to our previous episode, Plastic Surgery Doesn't End When the Procedure is OverLearn from the talented plastic surgeons inside La Jolla Cosmetic Surgery Centre, the 12x winner of the San Diego's Best Union-Tribune Readers Poll, global winner of the 2020 MyFaceMyBody Best Cosmetic/Plastic Surgery Practice, and the 2025 winner of Best Cosmetic Surgery Group in San Diego Magazine's Best of San Diego Awards.Join hostess Monique Ramsey as she takes you inside LJCSC, where dreams become real. Featuring the unique expertise of San Diego's most loved plastic surgeons, this podcast covers the latest trends in aesthetic surgery, including breast augmentation, breast implant removal, tummy tuck, mommy makeover, labiaplasty, facelifts and rhinoplasty.La Jolla Cosmetic Surgery Centre is located just off the I-5 San Diego Freeway at 9850 Genesee Ave, Suite 130 in the Ximed building on the Scripps Memorial Hospital campus.To learn more, go to LJCSC.com or follow the team on Instagram @LJCSCWatch the LJCSC Dream Team on YouTube @LaJollaCosmeticSurgeryCentreThe La Jolla Cosmetic Surgery Podcast is a production of The Axis: theaxis.io Theme music: Busy People, SOOP

There's a concept within statecraft known as grand strategy. The "grand" strategy means paying attention to every avenue of conflict, not just the military sphere, but also the diplomatic, the logistical, and the domestic, and everywhere else advantage might be gained or lost. It encompasses soft power, irregular actions, public opinion, etc. But at the same time, it also encompasses prioritization and focus, because, while it's important to consider every avenue, resources are always limited and need to be spent wisely.  A great example of grand strategy done right is the US in WWII. We supported the Soviets, we developed nukes, we invaded Europe, we came together as a nation, and most of all, we buried the Axis with our industrial capacity.  For an example of grand strategy done poorly consider Vietnam. Our battlefield tactics were great. But at the strategic level we comprehensively failed in almost every domain. There was vast domestic opposition, political goals were unclear, we failed to contain the conflict geographically, and never really understood the resolve of the Vietnamese people. You might think that the point of grand strategy, if well executed, would be winning. I disagree, I think the point of grand strategy is not losing. (There's probably an essay to be written about how this applies to Iran, but I think we have enough hot takes on that subject at the moment.) Grand strategy asks you to pay attention to all potential avenues by which disaster may arrive. Disaster in Vietnam did not arrive through the front door, it came from many unexpected directions, but an unexpected disaster is still a disaster, and generally worse than disasters which have been foreseen. As one considers the various aspects of grand strategy, what would it mean to have a personal grand strategy? And how would that be different from just living a "good life"? As a bridge between these two ideas, consider the life of Napoleon. Something Robert Greene does at great length in his book: The 33 Strategies of War By: Robert Greene Published: 2006 496 Pages

Reproduced from ‪@garlandn‬ with thanks. • IMPERIALISM: DECADENT & DOOMED W/JOTI BRAR... This week I talked with Garland Nixon about the illegal and aggressive war that has been launched by US imperialism and its Israeli zionist proxies against Iran. What are the wider ramifications for the politics and economics of the middle east? What could it mean for workers in Europe and the west? Apparently, strategists in the White House have been ‘surprised' by the Iranian people's robust response to this latest attempt to destroy their independence, integrity and sovereignty. Yet anyone paying attention for the last year knew well what was coming if the imperialists restarted their aggression of last June. The longer the war continues, the more the economic and military structures of Anglo-American control over the middle east – air and naval bases, embassies, intelligence structures, corporate and oil infrastructure, money-laundering facilities and tech machinery and the entire zionist settler-colony – will come under fire. And the more that continues, the more the oppressed populations of the region will be motivated to rise up against the illegitimate stooges who rule over them to join with the already-existing Axis of Resistance in their existential fight for the liberation and sovereignty not only of Iran but of all the peoples of west Asia. Workers in the west are in for a rude awakening if they think this war will leave them unscathed. We must draw the correct conclusions – that imperialism, not the Iranian people, is our real enemy, and that our trade unions and antiwar movement must be remodelled to stand up for our interests against the bloodsucking, warmongering British imperialist financier class. Subscribe! Donate! Join us in building a bright future for humanity! www.thecommunists.org www.lalkar.org www.redyouth.org Telegram: t.me/thecommunists Twitter: twitter.com/cpgbml Soundcloud: @proletarianradio Rumble: rumble.com/c/theCommunists Odysee: odysee.com/@proletariantv:2 Facebook: www.facebook.com/cpgbml Online Shop: https://shop.thecommunists.org/ Education Program: https://thecommunists.org/education-programme/ Each one teach one! www.londonworker.org/education-programme/ Join the struggle www.thecommunists.org/join/ Donate: www.thecommunists.org/donate/

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Trump started a war with no plan, no exit, and to distract Americans from his failing presidency. Steve Schmidt warns that the draft is coming and our children will pay for Trump's decisions. Today's Merch: NO KINGShttps://thewarningwithsteveschmidt.com/collections/down-with-the-king SUBSCRIBE for more and follow me here:Substack: https://steveschmidt.substack.com/subscribeStore: https://thewarningwithsteveschmidt.com/Bluesky: https://bsky.app/profile/thewarningses.bsky.socialFacebook: https://www.facebook.com/SteveSchmidtSES/TikTok: https://www.tiktok.com/@thewarningsesInstagram: https://www.instagram.com/thewarningses/X: https://x.com/SteveSchmidtSESSee omnystudio.com/listener for privacy information.

Last time we spoke about the end of the battle of khalkin gol. In the summer of 1939, the Nomonhan Incident escalated into a major border conflict between Soviet-Mongolian forces and Japan's Kwantung Army along the Halha River. Despite Japanese successes in July, Zhukov launched a decisive offensive on August 20. Under cover of darkness, Soviet troops crossed the river, unleashing over 200 bombers and intense artillery barrages that devastated Japanese positions. Zhukov's northern, central, and southern forces encircled General Komatsubara's 23rd Division, supported by Manchukuoan units. Fierce fighting ensued: the southern flank collapsed under Colonel Potapov's armor, while the northern Fui Heights held briefly before falling to relentless assaults, including flame-throwing tanks. Failed Japanese counterattacks on August 24 resulted in heavy losses, with regiments shattered by superior Soviet firepower and tactics. By August 25, encircled pockets were systematically eliminated, leading to the annihilation of the Japanese 6th Army. The defeat, coinciding with the Hitler-Stalin Pact, forced Japan to negotiate a ceasefire on September 15-16, redrawing borders. Zhukov's victory exposed Japanese weaknesses in mechanized warfare, influencing future strategies and deterring further northern expansion.   #192 The Soviet–Japanese Neutrality Pact Welcome to the Fall and Rise of China Podcast, I am your dutiful host Craig Watson. But, before we start I want to also remind you this podcast is only made possible through the efforts of Kings and Generals over at Youtube. Perhaps you want to learn more about the history of Asia? Kings and Generals have an assortment of episodes on history of asia and much more  so go give them a look over on Youtube. So please subscribe to Kings and Generals over at Youtube and to continue helping us produce this content please check out www.patreon.com/kingsandgenerals. If you are still hungry for some more history related content, over on my channel, the Pacific War Channel where I cover the history of China and Japan from the 19th century until the end of the Pacific War. Despite the fact this technically will go into future events, I thought it was important we talk about a key moment in Sino history. Even though the battle of changkufeng and khalkin gol were not part of the second sino-Japanese war, their outcomes certainly would affect it.  Policymaking by the Soviet Union alone was not the primary factor in ending Moscow's diplomatic isolation in the late 1930s. After the Munich Conference signaled the failure of the popular front/united front approach, Neville Chamberlain, Adolf Hitler, and Poland's Józef Beck unintentionally strengthened Joseph Stalin's position in early 1939. Once the strategic cards were in his hands, Stalin capitalized on them. His handling of negotiations with Britain and France, as well as with Germany, from April to August was deft and effective. The spring and summer negotiations among the European powers are well documented and have been examined from many angles. In May 1939, while Stalin seemed to have the upper hand in Europe, yet before Hitler had signaled that a German–Soviet agreement might be possible, the Nomonhan incident erupted, a conflict initiated and escalated by the Kwantung Army. For a few months, the prospect of a Soviet–Japanese war revived concerns in Moscow about a two-front conflict. Reviewing Soviet talks with Britain, France, and Germany in the spring and summer of 1939 from an East Asian perspective sheds fresh light on the events that led to the German–Soviet Nonaggression Pact and, more broadly, to the outbreak of World War II. The second week of May marked the start of fighting at Nomonhan, during which negotiations between Germany and the USSR barely advanced beyond mutual scrutiny. Moscow signaled that an understanding with Nazi Germany might be possible. Notably, on May 4, the removal of Maksim Litvinov as foreign commissar and his replacement by Vyacheslav Molotov suggested a shift in approach. Litvinov, an urbane diplomat of Jewish origin and married to an Englishwoman, had been the leading Soviet proponent of the united-front policy and a steadfast critic of Nazi Germany. If a settlement with Hitler was sought, Litvinov was an unsuitable figure to lead the effort. Molotov, though with limited international experience, carried weight as chairman of the Council of Ministers and, more importantly, as one of Stalin's closest lieutenants. This personnel change seemed to accomplish its aim in Berlin, where the press was instructed on May 5 to halt polemical attacks on the Soviet Union and Bolshevism. On the same day, Karl Schnurre, head of the German Foreign Ministry's East European trade section, told Soviet chargé d'affaires Georgi Astakhov that Skoda, the German-controlled Czech arms manufacturer, would honor existing arms contracts with Russia. Astakhov asked whether, with Litvinov's departure, Germany might resume negotiations for a trade treaty Berlin had halted months earlier. By May 17, during discussions with Schnurre, Astakhov asserted that "there were no conflicts in foreign policy between Germany and the Soviet Union and that there was no reason for enmity between the two countries," and that Britain and France's negotiations appeared unpromising. The next day, Ribbentrop personally instructed Schulenburg to green-light trade talks. Molotov, however, insisted that a "political basis" for economic negotiations had to be established first. Suspicion remained high on both sides. Stalin feared Berlin might use reports of German–Soviet talks to destabilize a potential triple alliance with Britain and France; Hitler feared Stalin might use such reports to entice Tokyo away from an anti-German pact. The attempt to form a tripartite military alliance among Germany, Italy, and Japan foundered over divergent aims: Berlin targeted Britain and France; Tokyo aimed at the Soviet Union. Yet talks persisted through August 1939, with Japanese efforts to draw Germany into an anti-Soviet alignment continually reported to Moscow by Richard Sorge. Hitler and Mussolini, frustrated by Japanese objections, first concluded the bilateral Pact of Steel on May 22. The next day, Hitler, addressing his generals, stressed the inevitability of war with Poland and warned that opposition from Britain would be crushed militarily. He then hinted that Russia might "prove disinterested in the destruction of Poland," suggesting closer ties with Japan if Moscow opposed Germany. The exchange was quickly leaked to the press. Five days later, the first pitched battle of the Nomonhan campaign began. Although Hitler's timing with the Yamagata detachment's foray was coincidental, Moscow may have found the coincidence ominous. Despite the inducement of Molotov's call for a political basis before economic talks, Hitler and Ribbentrop did not immediately respond. On June 14, Astakhov signaled to Parvan Draganov, Bulgaria's ambassador in Berlin, that the USSR faced three options: ally with Britain and France, continue inconclusive talks with them, or align with Germany, the latter being closest to Soviet desires. Draganov relayed to the German Foreign Ministry that Moscow preferred a non-aggression agreement if Germany would pledge not to attack the Soviet Union. Two days later, Schulenburg told Astakhov that Germany recognized the link between economic and political relations and was prepared for far-reaching talks, a view echoed by Ribbentrop. The situation remained tangled: the Soviets pursued overt talks with Britain and France, while Stalin sought to maximize Soviet leverage. Chamberlain's stance toward Moscow remained wary but recognized a "psychological value" to an Anglo–Soviet rapprochement, tempered by his insistence on a hard bargain. American ambassador William C. Bullitt urged London to avoid the appearance of pursuing the Soviets, a view that resonated with Chamberlain's own distrust. Public confidence in a real Anglo–Soviet alliance remained low. By July 19, cabinet minutes show Chamberlain could not quite believe a genuine Russia–Germany alliance was possible, though he recognized the necessity of negotiations with Moscow to deter Hitler and to mollify an increasingly skeptical British public. Despite reservations, both sides kept the talks alive. Stalin's own bargaining style, with swift Soviet replies but frequent questions and demands, often produced delays. Molotov pressed on questions such as whether Britain and France would pledge to defend the Baltic states, intervene if Japan attacked the USSR, or join in opposing Germany if Hitler pressured Poland or Romania. These considerations were not trivial; they produced extended deliberations. On July 23, Molotov demanded that plans for coordinated military action among the three powers be fleshed out before a political pact. Britain and France accepted most political terms, and an Anglo-French military mission arrived in Moscow on August 11. The British commander, Admiral Sir Reginald Plunket-Ernle-Erle-Drax, conducted staff talks but could not conclude a military agreement. The French counterpart, General Joseph Doumenc, could sign but not bind his government. By then, Hitler had set August 26 as the date for war with Poland. With that looming, Hitler pressed for Soviet neutrality, or closer cooperation. In July and August, secret German–Soviet negotiations favored the Germans, who pressed for a rapid settlement and made most concessions. Yet Stalin benefited from keeping the British and French engaged, creating leverage against Hitler and safeguarding a potential Anglo–Soviet option as a fallback. To lengthen the talks and avoid immediate resolution, Moscow emphasized the Polish issue. Voroshilov demanded the Red Army be allowed to operate through Polish territory to defend Poland, a demand Warsaw would never accept. Moscow even floated a provocative plan: if Britain and France could compel Poland to permit Baltic State naval operations, the Western fleets would occupy Baltic ports, an idea that would have been militarily perilous and diplomatically explosive. Despite this, Stalin sought an agreement with Germany. Through Richard Sorge's intelligence, Moscow knew Tokyo aimed to avoid large-scale war with the USSR, and Moscow pressed for a German–Soviet settlement, including a nonaggression pact and measures to influence Japan to ease Sino–Japanese tensions. On August 16, Ribbentrop instructed Schulenburg to urge Molotov and Stalin toward a nonaggression pact and to coordinate with Japan. Stalin signaled willingness, and August 23–24 saw the drafting of the pact and the collapse of the Soviet and Japanese resistance elsewhere. That night, in a memorandum of Ribbentrop's staff, seven topics were summarized, with Soviet–Japanese relations and Molotov's insistence that Berlin demonstrate good faith standing out. Ribbentrop reiterated his willingness to influence Japan for a more favorable Soviet–Japanese relationship, and Stalin's reply indicated a path toward a détente in the East alongside the European agreement: "M. Stalin replied that the Soviet Union indeed desired an improvement in its relations with Japan, but that there were limits to its patience with regard to Japanese provocations. If Japan desired war she could have it. The Soviet Union was not afraid of it and was prepared for it. If Japan desired peace—so much the better! M. Stalin considered the assistance of Germany in bringing about an improvement in Soviet-Japanese relations as useful, but he did not want the Japanese to get the impression that the initiative in this direction had been taken by the Soviet Union."  Second, the assertion that the Soviet Union was prepared for and unafraid of war with Japan is an overstatement, though Stalin certainly had grounds for optimism regarding the battlefield situation and the broader East Asian strategic balance. It is notable that, despite the USSR's immediate diplomatic and military gains against Japan, Stalin remained anxious to conceal from Tokyo any peace initiative that originated in Moscow. That stance suggests that Tokyo or Hsinking might read such openness as a sign of Soviet weakness or confidence overextended. The Japanese danger, it would seem, did not disappear from Stalin's mind. Even at the height of his diplomatic coup, Stalin was determined not to burn bridges prematurely. On August 21, while he urged Hitler to send Ribbentrop to Moscow, he did not sever talks with Britain and France. Voroshilov requested a temporary postponement on the grounds that Soviet delegation officers were needed for autumn maneuvers. It was not until August 25, after Britain reiterated its resolve to stand by Poland despite the German–Soviet pact, that Stalin sent the Anglo–French military mission home. Fortified by the nonaggression pact, which he hoped would deter Britain and France from action, Hitler unleashed his army on Poland on September 1. Two days later, as Zhukov's First Army Group was completing its operations at Nomonhan, Hitler faced a setback when Britain and France declared war. Hitler had hoped to finish Poland quickly in 1939 and avoid fighting Britain and France until 1940. World War II in Europe had begun. The Soviet–Japanese conflict at Nomonhan was not the sole, nor even the principal, factor prompting Stalin to conclude an alliance with Hitler. Standing aside from a European war that could fracture the major capitalist powers might have been reason enough. Yet the conflict with Japan in the East was also a factor in Stalin's calculations, a dimension that has received relatively little attention in standard accounts of the outbreak of the war. This East Asian focus seeks to clarify the record without proposing a revolutionary reinterpretation of Soviet foreign policy; rather, it adds an important piece often overlooked in the "origins of the Second World War" puzzle, helping to reduce the overall confusion. The German–Soviet agreement provided for the Soviet occupation of the eastern half of Poland soon after Germany's invasion. On September 3, just forty-eight hours after the invasion and on the day Britain and France declared war, Ribbentrop urged Moscow to invade Poland from the east. Yet, for two more weeks, Poland's eastern frontier remained inviolate; Soviet divisions waited at the border, as most Polish forces were engaged against Germany. The German inquiries about the timing of the Soviet invasion continued, but the Red Army did not move. This inactivity is often attributed to Stalin's caution and suspicion, but that caution extended beyond Europe. Throughout early September, sporadic ground and air combat continued at Nomonhan, including significant activity by Kwantung Army forces on September 8–9, and large-scale air engagements on September 1–2, 4–5, and 14–15. Not until September 15 was the Molotov–Togo cease-fire arrangement finalized, to take effect on September 16. The very next morning, September 17, the Red Army crossed the Polish frontier into a country collapsed at its feet. It appears that Stalin wanted to ensure that fighting on his eastern flank had concluded before engaging in Western battles, avoiding a two-front war. Through such policies, Stalin avoided the disaster of a two-front war. Each principal in the 1939 diplomatic maneuvering pursued distinct objectives. The British sought an arrangement with the USSR that would deter Hitler from attacking Poland and, if deterred, bind Moscow to the Anglo–French alliance. Hitler sought an alliance with the USSR to deter Britain and France from aiding Poland and, if they did aid Poland, to secure Soviet neutrality. Japan sought a military alliance with Germany against the USSR, or failing that, stronger Anti-Comintern ties. Stalin aimed for an outcome in which Germany would fight the Western democracies, leaving him freedom to operate in both the West and East; failing that, he sought military reassurance from Britain and France in case he had to confront Germany. Of the four, only Stalin achieved his primary objective. Hitler secured his secondary objective; the British and Japanese failed to realize theirs. Stalin won the diplomatic contest in 1939. Yet, as diplomats gave way to generals, the display of German military power in Poland and in Western Europe soon eclipsed Stalin's diplomatic triumph. By playing Germany against Britain and France, Stalin gained leverage and a potential fallback, but at the cost of unleashing a devastating European war. As with the aftermath of the Portsmouth Treaty in 1905, Russo-Japanese relations improved rapidly after hostilities ceased at Nomonhan. The Molotov–Togo agreement of September 15 and the local truces arranged around Nomonhan on September 19 were observed scrupulously by both sides. On October 27, the two nations settled another long-standing dispute by agreeing to mutual release of fishing boats detained on charges of illegal fishing in each other's territorial waters. On November 6, the USSR appointed Konstantin Smetanin as ambassador to Tokyo, replacing the previous fourteen-month tenure of a chargé d'affaires. Smetanin's first meeting with the new Japanese foreign minister, Nomura Kichisaburö, in November 1939 attracted broad, favorable coverage in the Japanese press. In a break with routine diplomatic practice, Nomura delivered a draft proposal for a new fisheries agreement and a memo outlining the functioning of the joint border commission to be established in the Nomonhan area before Smetanin presented his credentials. On December 31, an agreement finalizing Manchukuo's payment to the USSR for the sale of the Chinese Eastern Railway was reached, and the Soviet–Japanese Fisheries Convention was renewed for 1940. In due course, the boundary near Nomonhan was formally redefined. A November 1939 agreement between Molotov and Togo established a mixed border commission representing the four parties to the dispute. After protracted negotiations, the border commission completed its redemarcation on June 14, 1941, with new border markers erected in August 1941. The resulting boundary largely followed the Soviet–MPR position, lying ten to twelve miles east of the Halha River. With that, the Nomonhan incident was officially closed.  Kwantung Army and Red Army leaders alike sought to "teach a lesson" to their foe at Nomonhan. The refrain recurs in documents and memoirs from both sides, "we must teach them a lesson." The incident provided lessons for both sides, but not all were well learned. For the Red Army, the lessons of Nomonhan intertwined with the laurels of victory, gratifying but sometimes distracting. Georgy Zhukov grasped the experience of modern warfare that summer, gaining more than a raised profile: command experience, confidence, and a set of hallmarks he would employ later. He demonstrated the ability to grasp complex strategic problems quickly, decisive crisis leadership, meticulous attention to logistics and deception, patience in building superior strength before striking at the enemy's weakest point, and the coordination of massed artillery, tanks, mechanized infantry, and tactical air power in large-scale double envelopment. These capabilities informed his actions at Moscow, Stalingrad, Kursk, and ultimately Berlin. It is tempting to wonder how Zhukov might have fared in the crucial autumn and winter of 1941 without Nomonhan, or whether he would have been entrusted with the Moscow front in 1941 had he not distinguished himself at Nomonhan. Yet the Soviet High Command overlooked an important lesson. Despite Zhukov's successes with independent tank formations and mechanized infantry, the command misapplied Spanish Civil War-era experience by disbanding armored divisions and redistributing tanks to infantry units to serve as support. It was not until after Germany demonstrated tank warfare in 1940 that the Soviets began reconstituting armored divisions and corps, a process still incomplete when the 1941 invasion began. The Red Army's performance at Nomonhan went largely unseen in the West. Western intelligence and military establishments largely believed the Red Army was fundamentally rotten, a view reinforced by the battlefield's remoteness and by both sides' reluctance to publicize the defeat. The Polish crisis and the outbreak of war in Europe drew attention away from Nomonhan, and the later Finnish Winter War reinforced negative Western judgments of Soviet military capability. U.S. military attaché Raymond Faymonville observed that the Soviets, anticipating a quick victory over Finland, relied on hastily summoned reserves ill-suited for winter fighting—an assessment that led some to judge the Red Army by its performance at Nomonhan. Even in Washington, this view persisted; Hitler reportedly called the Red Army "a paralytic on crutches" after Finland and then ordered invasion planning in 1941. Defeat can be a stronger teacher than victory. Because Nomonhan was a limited war, Japan's defeat was likewise limited, and its impact on Tokyo did not immediately recalibrate Japanese assessments. Yet Nomonhan did force Japan to revise its estimation of Soviet strength: the Imperial Army abandoned its strategic Plan Eight-B and adopted a more defensive posture toward the Soviet Union. An official inquiry into the debacle, submitted November 29, 1939, recognized Soviet superiority in materiel and firepower and urged Japan to bolster its own capabilities. The Kwantung Army's leadership, chastened, returned to the frontier with a more realistic sense of capability, even as the Army Ministry and AGS failed to translate lessons into policy. The enduring tendency toward gekokujo, the dominance of local and mid-level officers over central authority, remained persistent, and Tokyo did not fully purge it after Nomonhan. The Kwantung Army's operatives who helped drive the Nomonhan episode resurfaced in key posts at Imperial General Headquarters, contributing to Japan's 1941 decision to go to war. The defeat of the Kwantung Army at Nomonhan, together with the Stalin–Hitler pact and the outbreak of war in Europe, triggered a reorientation of Japanese strategy and foreign policy. The new government, led by the politically inexperienced and cautious General Abe Nobuyuki, pursued a conservative foreign policy. Chiang Kai-shek's retreat to Chongqing left the Chinese war at a stalemate: the Japanese Expeditionary Army could still inflict defeats on Chinese nationalist forces, but it had no viable path to a decisive victory. China remained Japan's principal focus. Still, the option of cutting Soviet aid to China and of moving north into Outer Mongolia and Siberia was discredited in Tokyo by the August 1939 double defeat. Northward expansion never again regained its ascendancy, though it briefly resurfaced in mid-1941 after Germany's invasion of the Soviet Union. Germany's alliance with the USSR during Nomonhan was viewed by Tokyo as a betrayal, cooling German–Japanese relations. Japan also stepped back from its confrontation with Britain over Tientsin. Tokyo recognized that the European war represented a momentous development that could reshape East Asia, as World War I had reshaped it before. The short-lived Abe government (September–December 1939) and its successor under Admiral Yonai Mitsumasa (December 1939–July 1940) adopted a cautious wait-and-see attitude toward the European war. That stance shifted in the summer of 1940, however, after Germany's successes in the West. With Germany's conquest of France and the Low Countries and Britain's fight for survival, Tokyo reassessed the global balance of power. Less than a year after Zhukov had effectively blocked further Japanese expansion northward, Hitler's victories seemed to open a southern expansion path. The prospect of seizing the resource-rich colonies in Southeast Asia, Dutch, French, and British and, more importantly, resolving the China problem in Japan's favor, tempted many in Tokyo. If Western aid to Chiang Kai-shek, channeled through Hong Kong, French Indochina, and Burma could be cut off, some in Tokyo believed Chiang might abandon resistance. If not, Japan could launch new operations against Chiang from Indochina and Burma, effectively turning China's southern flank. To facilitate a southward advance, Japan sought closer alignment with Germany and the USSR. Foreign Minister Yosuke Matsuoka brought Japan into the Tripartite Pact with Germany and Italy, in the hope of neutralizing the United States, and concluded a neutrality pact with the Soviet Union to secure calm in the north. Because of the European military situation, only the United States could check Japan's southward expansion. President Franklin D. Roosevelt appeared determined to do so and confident that he could. If the Manchurian incident and the Stimson Doctrine strained U.S.–Japanese relations, and the China War and U.S. aid to Chiang Kai-shek deepened mutual resentment, it was Japan's decision to press south against French, British, and Dutch colonies, and Roosevelt's resolve to prevent such a move, that put the two nations on a collision course. The dust had barely settled on the Mongolian plains following the Nomonhan ceasefire when the ripples of that distant conflict began to reshape the broader theater of the Second Sino-Japanese War. The defeat at Nomonhan in August 1939, coupled with the shocking revelation of the German-Soviet Nonaggression Pact, delivered a profound strategic blow to Japan's imperial ambitions. No longer could Tokyo entertain serious notions of a "northern advance" into Soviet territory, a strategy that had long tantalized military planners as a means to secure resources and buffer against communism. Instead, the Kwantung Army's humiliation exposed glaring deficiencies in Japanese mechanized warfare, logistics, and intelligence, forcing a pivot southward. This reorientation not only cooled tensions with the Soviet Union but also allowed Japan to redirect its military focus toward the protracted stalemate in China. As we transition from the border clashes of the north to the heartland tensions in central China, it's essential to trace how these events propelled Japan toward the brink of a major offensive in Hunan Province, setting the stage for what would become a critical confrontation. In the immediate aftermath of Nomonhan, Japan's military high command grappled with the implications of their setback. The Kwantung Army, once a symbol of unchecked aggression, was compelled to adopt a defensive posture along the Manchurian-Soviet border. The ceasefire agreement, formalized on September 15-16, 1939, effectively neutralized the northern front, freeing up significant resources and manpower that had been tied down in the escalating border skirmishes. This was no small relief; the Nomonhan campaign had drained Japanese forces, with estimates of over 18,000 casualties and the near-total annihilation of the 23rd Division. The psychological impact was equally severe, shattering the myth of Japanese invincibility against a modern, mechanized opponent. Georgy Zhukov's masterful use of combined arms—tanks, artillery, and air power—highlighted Japan's vulnerabilities, prompting internal reviews that urged reforms in tank production, artillery doctrine, and supply chains. Yet, these lessons were slow to implement, and in the short term, the primary benefit was the opportunity to consolidate efforts elsewhere. For Japan, "elsewhere" meant China, where the war had devolved into a grinding attrition since the fall of Wuhan in October 1938. The capture of Wuhan, a major transportation hub and temporary capital of the Nationalist government under Chiang Kai-shek, had been hailed as a turning point. Japanese forces, under the command of General Shunroku Hata, had pushed deep into central China, aiming to decapitate Chinese resistance. However, Chiang's strategic retreat to Chongqing transformed the conflict into a war of endurance. Nationalist forces, bolstered by guerrilla tactics and international aid, harassed Japanese supply lines and prevented a decisive knockout blow. By mid-1939, Japan controlled vast swaths of eastern and northern China, including key cities like Beijing, Shanghai, and Nanjing, but the cost was immense: stretched logistics, mounting casualties, and an inability to fully pacify occupied territories. The Nomonhan defeat exacerbated these issues by underscoring the limits of Japan's military overextension. With the northern threat abated, Tokyo's Army General Staff saw an opening to intensify operations in China, hoping to force Chiang to the negotiating table before global events further complicated the picture. The diplomatic fallout from Nomonhan and the Hitler-Stalin Pact further influenced this shift. Japan's betrayal by Germany, its nominal ally under the Anti-Comintern Pact—fostered distrust and isolation. Tokyo's flirtations with a full Axis alliance stalled, as the pact with Moscow revealed Hitler's willingness to prioritize European gains over Asian solidarity. This isolation prompted Japan to reassess its priorities, emphasizing self-reliance in China while eyeing opportunistic expansions elsewhere. Domestically, the Hiranuma cabinet collapsed in August 1939 amid the diplomatic shock, paving the way for the more cautious Abe Nobuyuki government. Abe's administration, though short-lived, signaled a temporary de-escalation in aggressive posturing, but the underlying imperative to resolve the "China Incident" persisted. Japanese strategists believed that capturing additional strategic points in central China could sever Chiang's lifelines, particularly the routes funneling aid from the Soviet Union and the West via Burma and Indochina. The seismic shifts triggered by Nomonhan compelled Japan to fundamentally readjust its China policy and war plans, marking a pivotal transition from overambitious northern dreams to a more focused, albeit desperate, campaign in the south. With the Kwantung Army's defeat fresh in mind, Tokyo's Imperial General Headquarters initiated a comprehensive strategic review in late August 1939. The once-dominant "Northern Advance" doctrine, which envisioned rapid conquests into Siberia for resources like oil and minerals, was officially shelved. In its place emerged a "Southern Advance" framework, prioritizing the consolidation of gains in China and potential expansions into Southeast Asia. This pivot was not merely tactical; it reflected a profound policy recalibration aimed at ending the quagmire in China, where two years of war had yielded territorial control but no decisive victory over Chiang Kai-shek's Nationalists. Central to this readjustment was a renewed emphasis on economic and military self-sufficiency. The Nomonhan debacle had exposed Japan's vulnerabilities in mechanized warfare, leading to urgent reforms in industrial production. Tank manufacturing was ramped up, with designs influenced by observed Soviet models, and artillery stockpiles were bolstered to match the firepower discrepancies seen on the Mongolian steppes. Logistically, the Army General Staff prioritized streamlining supply lines in China, recognizing that prolonged engagements demanded better resource allocation. Politically, the Abe Nobuyuki cabinet, installed in September 1939, adopted a "wait-and-see" approach toward Europe but aggressively pursued diplomatic maneuvers to isolate China. Efforts to negotiate with Wang Jingwei's puppet regime in Nanjing intensified, aiming to undermine Chiang's legitimacy and splinter Chinese resistance. Japan also pressured Vichy France for concessions in Indochina, seeking to choke off aid routes to Chongqing. War plans evolved accordingly, shifting from broad-front offensives to targeted strikes designed to disrupt Chinese command and supply networks. The China Expeditionary Army, under General Yasuji Okamura, was restructured to emphasize mobility and combined arms operations, drawing partial lessons from Zhukov's tactics. Intelligence operations were enhanced, with greater focus on infiltrating Nationalist strongholds in central provinces. By early September, plans coalesced around a major push into Hunan Province, a vital crossroads linking northern and southern China. Hunan's river systems and rail lines made it a linchpin for Chinese logistics, funneling men and materiel to the front lines. Japanese strategists identified key urban centers in the region as critical objectives, believing their capture could sever Chiang's western supply corridors and force a strategic retreat. This readjustment was not without internal friction. Hardliners in the military lamented the abandonment of northern ambitions, but the reality of Soviet strength—and the neutrality pacts that followed—left little room for debate. Economically, Japan ramped up exploitation of occupied Chinese territories, extracting coal, iron, and rice to fuel the war machine. Diplomatically, Tokyo sought to mend fences with the Soviets through the 1941 Neutrality Pact, ensuring northern security while eyes turned south. Yet, these changes brewed tension with the United States, whose embargoes on scrap metal and oil threatened to cripple Japan's ambitions. As autumn approached, the stage was set for a bold gambit in central China. Japanese divisions massed along the Yangtze River, poised to strike at the heart of Hunan's defenses. Intelligence reports hinted at Chinese preparations, with Xue Yue's forces fortifying positions around a major provincial hub. The air thickened with anticipation of a clash that could tip the balance in the interminable war—a test of Japan's revamped strategies against a resilient foe determined to hold the line. What unfolded would reveal whether Tokyo's post-Nomonhan pivot could deliver the breakthrough so desperately needed, or if it would merely prolong the bloody stalemate. I would like to take this time to remind you all that this podcast is only made possible through the efforts of Kings and Generals over at Youtube. Please go subscribe to Kings and Generals over at Youtube and to continue helping us produce this content please check out www.patreon.com/kingsandgenerals. If you are still hungry after that, give my personal channel a look over at The Pacific War Channel at Youtube, it would mean a lot to me. In 1939, the Nomonhan Incident saw Soviet forces under Georgy Zhukov decisively defeat Japan's Kwantung Army at Khalkin Gol, exposing Japanese weaknesses in mechanized warfare. This setback, coupled with the Hitler-Stalin Nonaggression Pact, shattered Japan's northern expansion plans and prompted a strategic pivot southward. Diplomatic maneuvers involving Stalin, Hitler, Britain, France, and Japan reshaped alliances, leading to the Soviet-Japanese Neutrality Pact in 1941. Japan refocused on China, intensifying operations in Hunan Province to isolate Chiang Kai-shek.   

Phil, Pete, Dan Silver and Gordon Thrower talk Fulham, Liverpool and the cup. Content warning: Some issuing of challenges. ⁠⁠westhampodcast.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@westhampodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Produced by Paul Myers and Mike Leigh  A Playback Media Production  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   Copyright 2025 Playback Media Ltd - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

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Within just a few days, the United States working with Israel has destroyed Iran's military force. Defense systems provided to the regime by the Chinese Communist Party (CCP) were destroyed, Iran's fleet of warships was sunk, and its leadership was killed in targeted strikes. The show of force has reasserted the fighting prowess of the United States, and also put a serious dent in the global plans of the CCP.We'll discuss this topic and others in this episode of Crossroads.Views expressed in this video are opinions of the host and the guest, and do not necessarily reflect the views of The Epoch Times.

Three Big Conversations: Jim Carrey reacts to being called a clone - 12:30 What parents should know about the new Resident Evil video game - 26:42 Why people are still talking about Alysa Liu's Olympic performance - 45:48 Slang of the Week: Moving in silence - 01:14 In Other News: - 1:02:00 Early reviews for the new game Pokémon Pokopia have been enthusiastic, with critics comparing it to a blend of Minecraft creative mode and Animal Crossing's relaxed village life. The game focuses more on building and exploration than traditional Pokémon battles. Apple is stepping into the budget laptop market with the new $599 MacBook Neo. The price places it much closer to the Chromebooks and Windows laptops that many schools recommend for students. Rumors that Zendaya and Tom Holland secretly got married started after Zendaya's stylist casually told reporters the wedding had "already happened." The couple hasn't confirmed anything, but fans online are already in full detective mode. About 40% of Gen Z and millennials say spiritual advice from AI can be just as trustworthy as advice from a pastor, according to a recent survey by Barna and tech platform Gloo. Many young adults say they already use AI tools for prayer, Bible study, and spiritual questions. Energy drinks were once marketed almost entirely to young men, with branding tied to extreme sports and masculinity. Now companies are launching pastel-colored cans and fruitier flavors aimed at women, including cotton candy, which is delicious at a carnival and deeply questionable as a beverage.

It seems our heroic trio will have to think on their feet if they stand any chance of making it out of this one alive.---If you want to know what happens to our trio after the events of this thrilling finale you can time travel right now to catch up with Arcs 2 & 3 by joining The Rotating Heroes Patreon!If you want even more actual play goodness in your life you should check out 12 Sided Studios' new show Oaths and Empires. A brand new TTRPG actual play featuring Luke Dale and Tom McKay and set in a Witcher-esk inspired world, as our two rookie players navigate their very first game.

Our heroes return with a special intro segment from a celebrity guest to talk about the new forever war with iran, the pentagon and AI (open AI vs Claude) and what to do about all of it.  Turtle up. Support the show and get a bonus episode each week! https://patreon.com/bonsaipop watch the bread and butter: https://youtube.com/bonsaipop  come to the streams! https://twitch.tv/bonsaipop  buy a displate through us! https://displate.com/bonsaipop/bonsai-pop-1  10% off gamersupps code: BPOP

Live Recorded Set from VirtualDJ Radio PowerBase

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Jim Carrey reacts to being called a clone, what parents should know about the new Resident Evil video game, and why people are still talking about Alysa Liu's Olympic performance. Slang of the Week: Moving in silence In Other News: Early reviews for the new game Pokémon Pokopia have been enthusiastic, with critics comparing it to a blend of Minecraft creative mode and Animal Crossing's relaxed village life. The game focuses more on building and exploration than traditional Pokémon battles. Apple is stepping into the budget laptop market with the new $599 MacBook Neo. The price places it much closer to the Chromebooks and Windows laptops that many schools recommend for students. Rumors that Zendaya and Tom Holland secretly got married started after Zendaya's stylist casually told reporters the wedding had "already happened." The couple hasn't confirmed anything, but fans online are already in full detective mode. About 40% of Gen Z and millennials say spiritual advice from AI can be just as trustworthy as advice from a pastor, according to a recent survey by Barna and tech platform Gloo. Many young adults say they already use AI tools for prayer, Bible study, and spiritual questions. Energy drinks were once marketed almost entirely to young men, with branding tied to extreme sports and masculinity. Now companies are launching pastel-colored cans and fruitier flavors aimed at women, including cotton candy, which is delicious at a carnival and deeply questionable as a beverage.

Superpowers for Good should not be considered investment advice. Seek counsel before making investment decisions. When you purchase an item, launch a campaign or create an investment account after clicking a link here, we may earn a fee. Engage to support our work.Watch the show on television by downloading the e360tv channel app to your Roku, LG or AmazonFireTV. You can also see it on YouTube.Devin: What is your superpower?Kevin: Persistence and flexibility.What if we could double the energy output of existing wind farms without using more land? Kevin Wolf, CEO and Co-founder of Wind Harvest, has been working to make this vision a reality. His team has developed vertical axis wind turbines that harvest turbulent winds near the ground, a resource previously considered unusable.The idea isn't new; vertical axis turbines have been attempted for decades but failed to overcome engineering challenges. “The turbulent wind has stopped all other technologies from being able to make use of it,” Kevin explained. “It took a long time, a lot of money, and a lot of prototyping of full-scale prototypes…to finally have this product ready for the market.”The key innovation is a patented hinge system that solves a critical weakness of vertical axis turbines—mechanical stress on the blades. “Vertical axis turbines have failed for decades,” Kevin said. “The problem is they rotate 15 million times a year…every rotation, there's a pull with a blade like an airplane wing and a push as it comes around the other side. That connection point breaks…[but] if you put a hinge, all that micro movement is taken up in the hinge.”The potential impact of Wind Harvest's turbines is enormous. By placing them on existing wind farms, they can double the energy output per acre in ideal locations without requiring new infrastructure or land. “We can double the wind farm energy output with our turbines,” Kevin emphasized. He noted that this approach also avoids the costs and environmental impacts of developing new wind farms. “It's a much faster way of developing new wind farms…as opposed to taking raw land, new habitat, and converting that into a wind farm.”Wind Harvest is raising capital through a regulated crowdfunding campaign on StartEngine. This effort allows small investors to support clean energy innovation. Kevin explained the unique challenge of funding such groundbreaking work: “There is a lot of doubt at the level of the venture capitalists…they want us to finish the third-party certification.” In the meantime, crowdfunding has allowed Wind Harvest to bridge the gap and move closer to commercialization.You can find more about their campaign on StartEngine (Top 15 in amount raised on StartEngine.) and be part of an investment opportunity to drive clean energy forward.tl;dr:Kevin Wolf's vertical axis wind turbines harvest turbulent winds near the ground, doubling wind farm efficiency.Wind Harvest's patented hinge system solves a key flaw in traditional vertical axis turbines.Deploying these turbines on existing wind farms reduces costs, accelerates permitting, and avoids new land use.Kevin attributes his success to persistence, flexibility, and consensus-building skills honed over decades.Wind Harvest is raising capital via crowdfunding to finalize certification and commercialize their turbines.How to Develop Persistence and Flexibility As a SuperpowerKevin attributes his success to persistence and flexibility. “I do not like to not have something succeed,” he shared, adding, “I've learned over time that big things take a long time to do.” His training as a river guide and evolutionary ecologist shaped his ability to adapt. “You learn to take new data, change your mind, adjust your hypothesis,” he explained. By pairing this adaptability with relentless persistence, Kevin has overcome significant obstacles in his career.Kevin shared a story from his days at Wolfen Associates, where he helped the city of Sausalito reach consensus on a fire department expansion. After the city's initial proposal failed, Kevin facilitated community meetings, allowing dissenting voices to be heard and their concerns addressed. By incorporating feedback and revising the proposal, the city council gained overwhelming public support in a re-vote. This experience highlights Kevin's ability to persist through challenges while remaining flexible to new perspectives.Tips for Developing the Superpower:Embrace persistence by committing to long-term goals, even when progress feels slow.Stay flexible by adapting to new data and revising plans when necessary.Practice active listening to fully understand others' perspectives.Help others clarify their thoughts by rephrasing and restating their concerns.By following Kevin's example and advice, you can make persistence and flexibility a skill. With practice and effort, you could make it a superpower that enables you to do more good in the world.Remember, however, that research into success suggests that building on your own superpowers is more important than creating new ones or overcoming weaknesses. You do you!Invest in Wicked-Fast Coffee!Guest ProfileKevin Wolf (he/him):CEO and Co-founder, Wind Harvest InternationalAbout Wind Harvest International: Wind Harvest is a U.S.-based renewable energy technology company developing and selling industrial-scale vertical-axis wind turbine (VAWT) systems designed for deployment in turbulent wind resources close to the ground. ts patented Wind Harvester technology is engineered to operate efficiently in a wide range of wind conditions, with a compact footprint, low profile, and highly durable design. Website: windharvest.comCompany Facebook Page: facebook.com/windharvest Other URL: startengine.com/offering/wind-harvestBiographical Information: Kevin Wolf is the co-founder and CEO of Wind Harvest International, where he's spent nearly two decades advancing utility-scale vertical-axis wind turbines for turbulent, mid-level winds. He facilitated the engineering team through Technology Readiness Level milestones, oversaw R&D on the coupled-vortex effect, hired key engineers and team members and helped take the company from early grants and Series A through testing of multiple prototypes. Starting in 2019 when he became CEO again, he has steered capital strategy—closing investor rounds, running multiple crowdfunding raises, converting company debt to equity in 2022, and completing audits.Beyond Wind Harvest, Wolf brings a long record of environmental leadership and civic work. A UC Davis graduate in Evolution & Ecology, he launched his career with Friends of the River and later founded Wolf & Associates, facilitating multi-stakeholder, consensus-based watershed and environmental solutions across California. He chairs the California Clean Money Action Fund to reduce the power of money in affecting elections and legislation, co-founded the pioneering N Street Cohousing community in Davis, and has served on numerous local boards and commissions.LinkedIn Profile: linkedin.com/in/kevin-wolfPersonal Facebook Profile: facebook.com/kevin.wolf.9256Support Our SponsorsOur generous sponsors make our work possible, serving impact investors, social entrepreneurs, community builders and diverse founders. Today's advertisers include rHealth, and p!ng. Learn more about advertising with us here.Max-Impact Members(We're grateful for every one of these community champions who make this work possible.)Brian Christie, Brainsy | Cameron Neil, Lend For Good | Carol Fineagan, Independent Consultant | Hiten Sonpal, RISE Robotics | John Berlet, CORE Tax Deeds, LLC. | Justin Starbird, The Aebli Group | Lory Moore, Lory Moore Law | Mark Grimes, Networked Enterprise Development | Matthew Mead, Hempitecture | Michael Pratt, Qnetic | Mike Green, Envirosult | Nick Degnan, Unlimit Ventures | Dr. Nicole Paulk, Siren Biotechnology | Paul Lovejoy, Stakeholder Enterprise | Pearl Wright, Global Changemaker | Scott Thorpe, Philanthropist | Sharon Samjitsingh, Health Care Originals | Add Your Name HereUpcoming SuperCrowd Event CalendarIf a location is not noted, the events below are virtual.Superpowers for Good Live Pitch – Private Investor Session: Immediately following the March 17, 2026, live broadcast at 8 PM ET / 5 PM PT, investors are invited to join an exclusive private Zoom session to engage directly with the presenting founders—BRG Therapeutics (Dale Walker), GigaWatt (Deep Patel), My Diabetes Health (Dr. Prem Sahasranam), and rHEALTH (Eugene Chan). In this dedicated off-air environment, participants can ask deeper questions about strategy, traction, deal terms, and impact while exploring their active Regulation Crowdfunding campaigns in real time. Watch the live pitches on Roku, Amazon Fire TV, LG Smart TVs via e360tv, LinkedIn, YouTube, or Facebook—then continue the conversation in the private investor session where capital and clarity come together. Register free to get access to both events.SuperCrowd Impact Member Networking Session: Impact (and, of course, Max-Impact) Members of the SuperCrowd are invited to a private networking session on March 17th at 1:30 PM ET/10:30 AM PT. Mark your calendar. We'll send private emails to Impact Members with registration details. Upgrade to Impact Membership today!SuperCrowdHour March: This month, Devin Thorpe will explore how investors can align profit with purpose in a powerful session titled “Why You Should Make Money with Impact Crowdfunding.” As CEO and Founder of The Super Crowd, Inc., Devin will share practical insights on generating financial returns while driving measurable social and environmental impact through regulated investment crowdfunding. Register free to get all the details. March 18th at Noon ET/9:00 PT.SuperCrowd26 featuring PurposeBuilt100™: This August 25–27, founders, investors, and ecosystem leaders will gather for a three-day, broadcast-quality global experience focused on disciplined capital formation, regulated investment crowdfunding, and purpose-driven growth. We're bringing together leading voices in impact investing, compliance, digital marketing, and circular economy innovation to deliver practical frameworks, real-world case studies, and actionable strategies. The event culminates in the PurposeBuilt100™ Showcase, recognizing 100 of the fastest-growing purpose-driven companies in the U.S. Register now to secure your seat and get all the details. August 25–27, streaming worldwide.Community Event CalendarSuccessful Funding with Karl Dakin, Tuesdays at 10:00 AM ET - Click on Events.If you would like to submit an event for us to share with the 10,000+ changemakers, investors and entrepreneurs who are members of the SuperCrowd, click here.Manage the volume of emails you receive from us by clicking here.We use AI to help us write compelling recaps of each episode. Get full access to Superpowers for Good at www.superpowers4good.com/subscribe

While the physical fires are kept burning with a metric ton of heating pellets here in the freezing Latvian buffer zone, the geopolitical cesspool has officially overflowed. In this massive, fast-paced dispatch, we tear apart the outbreak of the largest Middle Eastern war since 2003—Operation Epic Fury.As American stealth bombers dance through the Iranian skies, the myth of the "Multipolar World" burns to the ground. Russia and China have completely abandoned Tehran, triggering an absolute panic among the Z-Patriots. We break down the delusion of the exiled Russian opposition, deliver the brutal pragmatic truth from the Baltics, and explain how Iran's asymmetric terror strategy is dragging the global economy into the abyss.Meanwhile, the Russian economy is actively cannibalizing itself. We look at the 30 trillion ruble crater in the budget, the Orwellian trap being laid to freeze civilian bank deposits, and the hardline military faction explicitly citing the UN to justify a "holy mutiny" against Vladimir Putin. Finally, we end on a darkly comedic note: watching Solovyov's top propagandist accidentally admit to the Holodomor on live state television, only to get accused of being a Banderite.The cardboard armor of the authoritarian world is violently catching fire.Support the show and keep the Gonzo journalism alive:Patreon: https://www.patreon.com/TheEasternBorderMerch Store: https://theeasternborder-shop.fourthwall.com/Help the frontline units in Ukraine who are fighting in the mud:Donate a truck: https://car4ukraine.com/en-US/campaigns/christmas-tree-trucks-2025-the-eastern-borderHappiness is mandatory.Support this show http://supporter.acast.com/theeasternborder. Hosted on Acast. See acast.com/privacy for more information.

David Rothkopf joins Joanna Coles to argue that Donald Trump's Iran war reveals a president who believes he governs like a king, not a constitutional commander in chief. Rothkopf, The Daily Beast's unmissable columnist and Founder of the DSR Network, lays out the case that this is an illegal war launched without congressional approval, with just 21 percent public support, no coherent National Security Council process, and early casualties already compounding the chaos. He connects Trump's impulsive strike to Benjamin Netanyahu's political incentives, the risk of regional escalation, oil shocks ahead of the midterms, and the dangerous fantasy that regime change will somehow yield democracy in Tehran. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Gen. Patton will order a third amphibious end run, but by now Gen. Truscott's 3rd division is traveling faster than ever. Meanwhile, being bold the Germans and Italians manage to evacuate most of their men from Sicily. Learn more about your ad choices. Visit megaphone.fm/adchoices

"I have a newly 8 year old male. Honesty has been a major struggle in our home because he hides the truth in order to avoid punishment. I feel that I have created an environment at home that doesn't feel safe enough to express mistakes. How should dad and I proceed to raise 2 sons that have the fruit of The Spirit?" - Marie → Read about the "authoritative" parenting style → Click here for the Barna research for indicating resiliant familes

“This is not the end. It is not even the beginning of the end. But it is perhaps the end of the beginning.”  This is the story of the Allied campaign in North Africa.  Long under the colonial thumb of the belligerent European nations—namely, France, Italy, and Britain—North Africa becomes the sandy stage for months of ugly tank battles featuring characters like the Desert Rats (Britain's 7th Armoured Division), and the Desert Fox (Field Marshall Erwin Rommel). By the time American reinforcements arrive in Vichy French–held African ports for Operation Torch, the Brits and the Axis powers have been chasing each other across the Saharan desert for quite a while, the latest development being a heartening Allied victory at El Alamein, Egypt.  The newly arrived G.I.s must quickly learn brutal lessons about tank warfare, but they soon come into their own after battles like Kasserine Pass and El Guettar, while simultaneously being whipped into shape by none other than "Old Blood and Guts" General George S. Patton. As U.S. forces move east into Tunisia and Bernard “Monty” Montgomery's men continue moving west from Libya, we'll see if this continent-wide pincer maneuver will break Rommel's two-war winning streak, or if the Allies will finally score a hit against the thus-far (almost) unstoppable Germany.  ____ Connect with us on ⁠⁠⁠HTDSpodcast.com⁠⁠⁠ and go deep into ⁠⁠⁠episode bibliographies⁠⁠⁠ and ⁠⁠⁠book recommendations⁠⁠⁠ join discussions in our ⁠⁠⁠Facebook community⁠⁠⁠ get news and discounts from ⁠⁠⁠The HTDS Gazette⁠⁠⁠  come ⁠⁠⁠see a live show⁠⁠⁠ get ⁠⁠⁠HTDS merch⁠⁠⁠ or become an ⁠⁠⁠HTDS premium⁠⁠⁠ member for bonus episodes and other perks. HTDS is part of Audacy media network. Interested in advertising on the History That Doesn't Suck? Contact Audacyinc.com To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Today's Adventure: David Harding suspects the Axis is behind a ring making counterfeit gas coupons.Original Radio Broadcast: November 2, 1945Originating from New YorkStarring: Don McLaughlin as David HardingPopular Science article on the government censoring weather reports.To subscribe to this podcast and, go to https://greatadventures.info/Become one of our ongoing Patreon supporters at https://patreon.greatdetectives.netSupport the show on a one-time basis at http://support.greatdetectives.net.Mail a donation to: Adam Graham, PO Box 15913, Boise, Idaho 83715Take the listener survey at http://survey.greatdetectives.netGive us a call at 208-991-4783Follow us on Instagram at http://instagram.com/greatdetectivesFollow us on Twitter @radiodetectives