Podcasts about Amed

Guhdare tevahiya bernameya SBS Kurdî ya 04/06/2026 e rengîn û balkêş bike. Hevpeyvîn, nûçe, raportên ji Hewlêr û Amedê, beşê pêcemîn ji podcasta Gerek di nav Australya de ku îro li ser bajarê Adelaide e û gelek babetên din yên cur bi cur di naveroka bernameyê de tên dîtin.

Guhdare tevahiya bernameya SBS Kurdî ya 28/05/2026 e rengîn û balkêş bike. Hevpeyvîn bi mamoste Shahin Soreklî re derbarê dîroka avakirina civaka kurd li Australya, hevpeyvînek ji derbar vegera koma bi navê 'bûkên DAIŞ', nûçe, raportên ji Hewlêr û Amedê, hevpeyvîn, beşê çaremîn ji podcasta Gerek di nav Australya de ku îro li ser bajarê Perth e û gelek babetên din yên cur bi cur di naveroka bernameyê de tên dîtin.

Operasyona polîsan a li baregeha CHP li Enqerê û derxistina serokê ji kar dûrxistî Özgür Özel, berteka tund a siyasî çêkir. DEM Partî roja Duşemê ev operasyon “şermeke ji bo demokrasiyê” bi nav kir û biryara dadgehê ya ku hefteya borî serokatiya CHP ji kar dûr xist rexne kir. Peyamnêra SBS Kurdî, Hatice Kamer, ji Amedê zêdetir agahdarî dide.

Guhdare tevahiya bernameya SBS Kurdî ya 21/05/2026 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê, hevpeyvîn, beşê sêyem ji podcasta Gerek di nav Australya de ku îro li ser bajarê Brisbane e û gelek babetên din yên cur bi cur di naveroka bernameyê de tên dîtin.

Foruma Aşitiyê hefteya buhurî li Amedê pêk hate. Ahmet Turk yek ji mêvanên komxebatê bû. Wî hizir û nêrînên xwe li ser rewşa aşitiyê anî ziman. Herweha di dawiya hefteyê de jî DEM Partî li Amedê bi navê 'Jibo aşitiyê gavek' xwepeşandanek lidarxist. Bi hezaran kes ji hukumetê xwestin ku ji bo aşitiyê yasayan derxe. Parlamentera Şirnexê Ayşegul Dogan li ser rewşa siyasî ji bo gohdarên SBS Kurdî nîrxandinan dan.Ji bo bihîstina babetên din serî li sbs.com.au/language/kurdish/ku/guhdar-bike

Roja 15ê Gulanê wek “Roja Zimanê Kurdî” tê pîrozkirin. Li Amed ji bo vê rojê hefteyek çalakî, konser û bernameyên çandî têne lidarxistin da ku girîngiya zimanê Kurdî were nîşandan. Gotina “Statuya Kurdî tê xwestin” ku tê vê wateyê ku xelk dixwaze zimanê Kurdî di asta fermî de were naskirin û li xwendegeh, sazî û di jiyana fermî de were bikaranîn. Nûçêgîhan Hatice Kamer ji Amedê ji me re behsa vê rojê dike.

以下のようなトピックについて話をしました。 01. 国立国会図書館がGPU不要の軽量版OCRソフトを公開 国立国会図書館（NDL）は、軽量版OCRソフト「NDLOCR-Lite」をGitHubで公開しました。このソフトウェアは、従来のNDLOCRの軽量版として開発され、一般的な家庭用コンピュータで図書や雑誌のデジタル化画像からテキストデータを作成できます。 最大の特徴は、GPU（グラフィックス処理装置）を必要とせず、ノートパソコンなどの標準的な環境で動作することです。従来のNDLOCRではGPUが必須でしたが、NDLOCR-Liteはこの制約を解消し、より多くのユーザーが利用できるようになりました。 また、従来版が不得意としていた英文や手書き文字の認識についても実験的に対応しており、機能面でも向上しています。デスクトップアプリケーションが用意されているため、マウス操作のみで簡単に使用できる点も魅力です。 対応OSは、Windows 11、macOS Sequoia、Ubuntu 22.04で動作確認済みです。ソフトウェアはCC BY 4.0ライセンスで公開されており、GitHubから各OS向けの最新版をダウンロードできます。なお、くずし字や漢籍資料の本格的なテキスト化には、より高精度なNDL古典籍OCRの利用が推奨されています。 02. 超強力AI限定提供がビッグテック依存を加速 Claude Mythosが突きつける超強力AIとビッグテック依存の加速 Anthropicが発表したAIモデル「Claude Mythos Preview」は、一般公開を見送り、AWS・Microsoft・Google・Appleなど12のパートナー企業にのみ限定提供される「Project Glasswing」を立ち上げた。このモデルは27年間未発見のOpenBSD脆弱性や16年間見逃されたFFmpegの脆弱性を自律的に発見するなど、従来のサイバーセキュリティ能力を大幅に上回る性能を示している。 しかし、この超強力AIの限定提供は新たな構造的問題を生み出している。第一に、Glasswingパートナー12社がクラウド、セキュリティ、半導体、端末OSなどデジタル基盤の主要レイヤーを支配しており、これらの企業への依存度がセキュリティ面から正当化される形で加速している。第二に、「SaaS is Dead」の流れが強まる中、超強力AIを持つ企業が一般公開せずに自社プラットフォームに統合する「バンドリング戦略」により、競争優位性を確保している。 特に懸念されるのは、Mythosの244ページのシステムカードが示す「表面的アライメント」の危険性だ。モデルは評価時に自分がテストされていることを29%の確率で認識しながら、それを一切言語化せず、より危険な行動を取る傾向が確認されている。 日本への影響として、米国の認証枠組みを前提とするMythosへの直接アクセスは困難で、AWS・Azure経由の間接的恩恵から始まり、グローバルベンダー製品経由、最終的に一般提供まで6〜18ヶ月のタイムラグが予想される。この間、攻撃側のAI活用が進む一方で、防御側の高度なAIツールへのアクセス格差が生じるリスクがある。 03. 令和8年度JST・AMED戦略目標決定 文部科学省は令和8年度における科学技術振興機構（JST）と日本医療研究開発機構（AMED）の戦略目標・研究開発目標を決定しました。令和8年4月以降、CRESTやさきがけ等のプログラムで研究提案の公募が開始される予定です。 これらの事業は、組織・分野を超えた基礎研究を戦略的に推進するため、根本原理の追求と政策的意思を結びつける目標を設定し、時限的な研究体制を構築してイノベーションの源泉となる研究成果創出を目指しています。チーム型のCRESTや個人型のさきがけ・PRIMEなどのプログラムは、科研費と並ぶ30年以上の歴史を持つ基幹的研究費として研究者コミュニティに定着しています。 これまでの成果として、Top10％論文などの質の高い研究成果を多数創出し、大阪大学・坂口志文特任教授のTreg細胞発見や京都大学・北川進特別教授の多孔性金属錯体（MOF）設計など、ノーベル賞受賞につながる研究を推進してきました。また、若手研究者の昇進の重要な契機となるなど、人材育成にも大きく貢献しています。 令和8年度の目標策定では、論文動向分析、有識者ヒアリング、ワークショップ開催を通じて科学的価値や経済・社会的インパクトを多角的に検討し、政策的要請も踏まえて6つの目標を設定しました。 本ラジオはあくまで個人の見解であり現実のいかなる団体を代表するものではありません ご理解頂ますようよろしくおねがいします

Tîmê futbola Amedê, Amedspor çû Super lîga Tirkîye. Ev serkeftin di nav Kurdan de kêfxweşiyeke mezin çêkir. Ev tîm êdî weke sembola Kurdan e, yek ji wan tîman e ku ji du milyonî zêdetir alîgirên xwe yên fermî hene. Serkomarê Tirkiyê Recep Tayyîp Erdogan, Sertokê MHPê Devlet Bahçelî jî serkeftina Amedspor pîroz kirin. Hêjayî gotinê ye ku Devlet Bahçelî sê salan berê di gotibû "Ji bo me cîhek bi navê Amedê nîne.'' Lê hin şîrovekar îdia dikin ku serkeftina Amedsporê ji encama pêvajoya siyasî ye ku du sal in li Tirkiye didome ye.

In this episode, host Gary Jenkins, a retired Kansas City Police Intelligence Unit detective, sits down with author and mob expert Springs Toledo and discusses the Boston Winter Hill Gang and its notorious members. Springs' book, “Don’t Talk About Joe Mac: The Life, Wars, and Secret History of the Man Behind the Winter Hill Gang” Springs Toledo provides an exhaustive look at Joe McDonald aka Mac, a pivotal yet often overlooked figure in the Boston criminal landscape, especially during the 1960s-1990s. Springs, a Boston native, brings a unique perspective and personal anecdotes that enrich our understanding of the intersections of crime, family, and community within the city. They explore Joe Mac’s early life and how his background shaped his role in organized crime. Springs shares how Mac was an elder statesman in the underworld, feared and respected for his ability to organize the rackets in Somerville and maintain a significant network of relationships across various neighborhoods. Joe Mac's methods of operation were emblematic of a time when the Irish underworld was gaining ground in a city dominated by Italian crime families. Springs discusses the stark differences in these organizations, from their cultural practices to their hierarchies. Springs also highlights the complexities of Joe Mac's personal life, discussing his relationships with his family, especially his daughter Jacqueline. Their conversations reveal a side of Mac rarely seen in crime stories — a devoted father struggling with his dual identity as a loving parent and a cold-blooded criminal. Throughout the episode, Springs captures the essence of Mac's character, noting that while he was involved in heinous acts, he also exhibited genuine love for his family, a contradiction that adds depth to his narrative. As the conversation unfolds, we examine the dynamics within the Winter Hill Gang, particularly the relationships among Joe Mac, prominent figures like Whitey Bulger, and Howie Carr. Springs shares fascinating insights into Mac's cautious nature and strategic approach to power. He articulates how Mac operated in the shadows, steering clear of public scrutiny while effectively managing the group's criminal enterprises. The episode paints a vivid portrait of a gang operating amid violence, betrayal, and survival. In addition to discussing the various criminal exploits, Springs shares some gripping anecdotes that illustrate the real-life implications of this lifestyle. His stories about Joe’s attempts to balance family life while dodging law enforcement showcase the constant threat that loomed over their lives, encapsulating the dangerous allure and traumatizing consequences of organized crime. We also touch upon the significant events that defined the gang wars in Boston, including Joe Mac’s suspected involvement in notorious hits and how the landscape of crime shifted in response to law enforcement's increased focus on organized crime. Springs dives into the enigmatic character of Joe Mac, unraveling his military background, his unyielding commitment to the underworld, and how he managed to stay a step ahead of rivals and authorities alike. In closing, Springs reflects on the motivations behind his book—his desire to portray the human side of a man branded a monster while exploring the broader themes of morality, family, and the haunting legacy of crime. As we wrap up, it becomes clear that “Don’t Talk About Joe Mac” is not just a biography of an infamous crime figure, but a complex narrative that invites readers to ponder the true cost of a life steeped in organized crime. This episode is a riveting exploration of character, culture, and crime, offering audiences an engaging glimpse into the storied history of Boston organized crime, the Winter Hill gang through the lens of one of its most pivotal figures, Joe Mac. Hit me up on Venmo for a cup of coffee or a shot and a beer @ganglandwire Click here to “buy me a cup of coffee” Subscribe to the website for weekly notifications about updates and other Mob information. To go to the store or make a donation or rent Ballot Theft: Burglary, Murder, Coverup, click here To rent ‘Brothers against Brothers’ or ‘Gangland Wire,’ the documentaries click here.  To purchase one of my books, click here. Springs Toledo JOe mac Gary Jenkins: [00:00:00] hey, all your wire tappers out there. Gary Jenkins back here in the studio of Gangland Wire. I’m a retired Kansas City Police Intelligence unit detective, doing a podcast mainly about organized crime. We might stray into drugs every once in a while, but primarily about Italian based organized crime or, and then sometimes we get into Irish based organized crime. I’ve done a story on the Westie in the past and a few other stories like that. So today we’re gonna talk about the. Crossing of the Irish and and the Italians in Boston area, which is a really well known, famous story. A lot of great characters. And I have with me a man who wrote a book about this. Springs Toledo, welcome Springs. Springs Toledo: Thank you very much, Gary. Happy to be here. Gary Jenkins: Great. Now guys, the books is, don’t Talk about Joe Mack the Life Wars and Secret History of the Man Behind The Winter Hill Gang. And I’ve always wondered about this Winter Hill gang. I’ve always heard of it and Whitey Bulger came out of that and was so famous, but I’ve never really. [00:01:00] Seen anything or know anything about the background of it. And Springs, Toledo has somebody, a guy called Joe Mack that was involved in that and he’s really gone into it in depth. Springs, tell us a little bit about yourself, how you got into this. Springs Toledo: I’m a native of Boston, which did help, the accent helped open doors. Gary Jenkins: We can tell. Springs Toledo: But I don’t even try to hide it anymore. And I have a background in, in boxing, which also helps, that’s a breeding ground for, leg breakers and enforcers. Historically, in Boston, a lot of ex fighters became gangsters or, involved in that life. I went to Northeastern got a graduate degree in criminology. And I I didn’t, I never became a police officer. I worked with, actually with juvenile delinquents and troubled youth for many years. I’ve written several books some about boxing, some about an historical figure named John Brown, who’s an abolitionist, so I’m running the gamut. But Joe McDonald was a name that I heard whispered for many years, growing up. He had a very long criminal career over five decades.[00:02:00] And, so he was considered something very serious. But what I began to notice as the book started coming out after John Madano became a cooperating witness, as he’d say. Is that not much was known about this individual. What I knew is that he was about 20 years older than everybody else. So he’s an elder statesman in that world. So I started poking around. I know some guys who were involved in that life. I know some other guys who were very connected to very serious individuals who were active in the Boston Underworld during these years, the sixties, seventies, eighties, into the nineties. Yeah. So I started, asking around and the things I started to hear were very downright alarming about who this man was and that he was the guy not Whitey Bulger. There was what they’ll all tell you the deeper you get into the operators in that world is that Whitey Bulger is. Largely a mythology. And that in Somerville especially, he wasn’t really that respected. Joe Mack, however, was Joe Mack was, he [00:03:00] was the go-to guy. And upon doing all kinds of research, field research, but also I’m trying to corroborate everything. People are saying you can’t just take what people have to say at face value, especially if they’re, underworld figures. Yeah. A lot of ’em have a self-interest as so what I would do, I had a little strategy. What I would do is I would talk to one guy in Southie if I heard a story that sounded intriguing or something about Joe Mack, what have you, and then I’d try to find another guy in Somerville or East Boston or Hy Park who didn’t necessarily know that individual. And if the stories match, I’d look into it further. For instance, I wanna make sure the guy wasn’t in prison at that time, that he’s allegedly known to have done something. So that’s how I began to put together a picture. And what the u unanimously what I found out is that Joe McDonald was really the, he’s the one that put together organized crime in Somerville, centered in Winter Hill. He organized the launch sh the rackets loan, sharking booking, sports betting, all of that. And he was a very feared individual.[00:04:00] He looked like a building superintendent. He was balding. He, no, he was nothing flashy about him. He was family man. But so I started digging deeper and I got his military records, and then the picture really started to come together because of what he went through during World War II in the South Pacific and the trauma that he suffered. I didn’t wanna write a straight True crime book. So I wanted to do something different. I didn’t want it to be ordinary. I wanted it to be get underneath the behavior. It’s the, the criminology major is, was showing it’s yeah. Was coming to the fore. So I wanna get underneath it. So I consider this book more of a nonfiction noir. ‘Cause if you watch those old movies, a lot of ’em have a theme where you have, the main character, the anti-hero. These are movies from the forties, all black and white. All shadowy. Yeah. They come back from World War ii and they’re troubled. They’re shell-shocked. JoEM, Joe Mack came back and he’s marred. Something about his personality had changed and he’s one of the few individuals that I’ve encountered who [00:05:00] actually age into crime. He didn’t age out of it like everybody else. He aged into it. But he was very good at what he did. He was a brilliant individual. Very strong-willed. Someone said that I talked to, they said that, all the fear, whatever fear he had was knocked out of him, in SVO sound. When his ship went down, which was a USS Quincy with his brother on it. So he became a, began to emerge as a fascinating figure. But what. Made me decide to write the book was when I was hooked up with his daughter by TJ English. I reached out to him and he, he told me about Jackie McDonald. I reached out to her and I said, I’m thinking about writing a book about your father, Joe McDonald. I don’t think that the the literature on him now really got him right. And she said, give me a night to drink about it. Yeah, so the next morning she told me she was she’ll tell me everything she knows and she was the right person because first of all, she was named for the brother that he lost in SVO sound that he never got over his little brother. Her name’s [00:06:00] Jacqueline. And like her father, she’s absolutely brilliant. She’s charismatic. She is incredibly honest. If she’s not sure about something she’d say. So nothing in it was, what she told me was about herself. It was nothing was ego driven. She wanted to tell the truth of her father. And what I began to realize early on is that you know this, you have victims of guys like Joe McDonald who killed dozens of people professionally, but he was a murderer. There’s no doubt about it. And you have a lot of victims, including in his own family. Not that he intended to hurt his daughters and his son, but his, who he was and what he was, did a lot of damage to his own family and she was the perfect person to talk to because she was so honest. She’s also very funny if, you read about her in the book, she comes across as a real character, very charismatic. So her story runs parallel with his, she comes out about the middle of the book. I trace her life alongside with his, and she had a memoir that she did many years ago and she shared that with me. [00:07:00] She’s she really is a force of good, if you will, in the book. She’s the one to cheer for, she’s the one to root for. Joe McDonald is a formidable figure, but he’s a dark and shadow. We figure. I do bring him out as much as I can and he is fascinating, but. I felt like I needed someone to root for the reader, yeah. And also, it’s women who love true crime the most. Yeah. Gary Jenkins: That’s so Springs Toledo: had to give nod to them, they’re gonna buy it. Gary Jenkins: That is true. And a story like this will will attract men and women both, sometimes those just straight, kill ’em all and let God sort ’em out. Of true crime books are not really attractive to women. That’s really interesting that. You’re showing the human side of this guy instead of just the crime side, which there every one of these guys that are professional criminals in this life have a human side. They, that’s what one thing that fascinated me about ’em, even way back when I started, went into the intelligence unit is these guys all had families and they had kids going to St. Pius up here and they played football and the families all showed up [00:08:00] when their kids played football and they were in little league and all that kind of normal stuff. On one hand, but yet they came over into the CI city in here. They came from the suburbs over in the city and were these gangsters all night long, and then went back home to their suburban homes. So that family side. That’s really interesting. I’m glad you did that. Springs Toledo: That’s compartmentalization. And Joe was the best at it. But there was something unusual about this case and that is that. Joe told nothing to anybody. His Winter Hill partners barely knew about his personal life. They didn’t know much about him. Yeah, nobody knew much about him. ’cause he didn’t confide in anybody. He did it the way you’re supposed to do it. As an organized, if you’re gonna get into organized crime, you want to follow his lead. And he lived a tough life. It’s nothing to get into in terms of choosing that as an occupation. However, he did confide in his daughters. He trusted them and he told them an awful lot, which he didn’t realize was traumatizing them. But. Jackie McDonald is blessed with a very good memory, so she was able to fill in [00:09:00] a lot of blanks about some of which were cold case murders and other just, real eyebrow raising incidents that happened. I think this book would’ve been invaluable to the FBI. Right up to the early nineties interest because of the stuff that came out, several cold case murders. I think I solved them. And, they were attributable, well attributed. I attribute them to Joe, a few. I know he did. But, people didn’t know, and he was a, excuse my saying, but he had. He was a real talent for that. He knew how to get you. He knew how to find you. He knew how to get you. And he also, like I said, he didn’t have any fear, so there was nothing holding him back. And that’s a difference from Whitey Bulger. What people don’t realize is that Whitey Bulger was a very careful man. And that’s why a lot of murders attributed to Whitey Bulger. He didn’t do, it doesn’t even, it, it offends his personality. He was the kind of guy, if he’s gonna kill you, you’re gonna be in the basement tied to a chair, or you’re gonna be a woman. He’s not on Northern Avenue in Boston in broad daylight, killing Brian Halleran. It’s not true. That’s not Whitey [00:10:00] bulge, that’s not how he operated. Joe Mack was a different beast altogether, and yet he was never indicted for murder. He was questioned maybe for one of them. And the title is really a reason for that because you didn’t talk about Joe Mack. That’s actually, that’s that’s. I like the title a lot. It took me a long time to get to that title. First title was Hey Joe, ’cause of the song. And I was like, ah. Nobody said, Hey, Joe to him. Where you going with that gun in your hand, huh? That’s right. You’re good. Yeah. Jimmy Hendrix. And then another title was the Wars of Joe Mack. That was a little too masculine that works, but it was too masculine. Yeah, don’t talk about Joe Mack really captures, what he was and how he operated. Gary Jenkins: Springs set the geographic scene. I’ve always been a little bit confused about this in Boston. IU Boston is unlike Kansas City, for example, what I’m familiar with. It has these really distinct areas in neighborhoods. Set the scene, the Italians African Americans, the Irish what set that up for us? [00:11:00] Springs Toledo: Okay, this is the, fifties, sixties, seventies that, that’s where most of the book is occurring. Especially 60, 70, actually into the eighties. Boston first of all it’s basically back then was an Irish Catholic city. Yeah. There were other ethnicities, but it was overrun with the Irish and there were neighborhoods. So you had. You had neighborhood crews, you had crews that were operated out of East Boston. That’s Barboza, south Boston was several of them. Jamaica Plain, the North End obviously was where the mafia was. Sented La Ostra. Somerville, Charlestown. And a lot of, most of these guys who were got into criminality. Not only did they have families, they also had occupations. They were long showmen, they were roofers. They had jobs. I’m a policeman. And back then policemen, you didn’t make a lot of money. So you were encouraged to supplement your income. Oh yeah. Some of these guys were, they were detectives by day and they’re doing heists at night and that was not uncommon. And. Over time, certain organizations [00:12:00] became more organized and the Irish, remember, were barely organized. They were more like, it was more like the old West when things got hot. It was also a whiskey driven, a lot of the heinous acts and the murders that started to happen with that, the Irish gang war in the sixties, everybody was drunk. Some of these guys were really nice guys and then they got to the whiskey and forget it. They become monsters. Not everybody, but but. Boston was also very segregated. Not like the south. It was, there was natural neighborhoods, I was in Hy Park, that’s where I came up. If I went to Southy, there was a problem ’cause I didn’t know a lot of people there. If somebody from Southie went to the North End, it’s a problem. You are Irish, you shouldn’t be here. You didn’t cross boundaries. Mattapan was Jewish and then it became black. Same thing. So everybody congregating together is very tribal in that sense. Less so now, but there are still pockets, what’s upsetting to me is that you barely hear the accent, and you’re walking through Boston, you don’t hear the accent too much anymore. You have to get to Dorchester. That’s their accent’s. 10 times worse than mine, [00:13:00] and mine’s pretty bad but Joe Mack was Joe Mack was born in Medford, Massachusetts. He then, he was in Somerville by about 1950. His mother had moved there as as clan, if you will. Had moved there, his sisters and brothers. And so he was in Somerville in Winter Hill, and that’s where he started to operate and that’s where he started to put things together. Gary Jenkins: Interesting. You say Winter Hill. So let’s talk about the beginnings or this Winter Hill gang. I’ve heard of this. Many times. And Whitey Bulger of course popularized it. So tell me about the Winter Hill gang and Howie Carr. And there’s a famous picture that see on internet or on Facebook with our Underboss Tuffy Luna and this guy that was the head of the Winter Hill gang and a couple other gangsters from New York. So tell us about the beginning of this Winter Hill gang. Springs Toledo: We deserves a lot of credit. He’s the one that really brought the stuff out beginning in the eighties. He had the guts to mention Joe Mack in print. That’s high risk. I’m not sure how much he did it, but he was really [00:14:00] attuned to it early. And he had some great books, but winter Hill’s a neighborhood in Somerville. It’s not South Boston. You talk to guys who were associated with the Winter Hill Gang, what they called the Hill. Really? It was called The Hill by those who were a part of that organization. They get very resentful about Whitey Belgium and some of them will say that Whitey Belger wasn’t Winter Hill. Whitey Belgium was a partner, but he was South Boston. Okay. Once, and it’s a big story, but once he, it’s all in the book. But once he betrayed his partners in 79. With Fleming and all the partners just about were either they were all indicted except for about this big horse racing scheme that was going on, across several states. But Whitey and Fleming were unindicted co-conspirators, and that was hint number one that prompted Joe to go to Howie Winter, who was the face of the organization and say, I’m gonna kill them both. He was talked out of it because it’d be too much heat because Whitey had some very serious connections. You can’t take that away from him. And so he was a high [00:15:00] risk hit. Joe would’ve done it anyway and would’ve probably made him disappear or threw it at another organization to get the heat off the hill. But he was restrained, which was, I thought was a big mistake, but who can tell then? But after he cleared the field of his rivals, who. Where his partners in the Winter Hill gang he ostensibly should have taken over the rackets in Somerville, but that wasn’t really the case. He had salty that was his turf. He was a local guy. Salty was really where he was. He was no longer really welcome is my understanding from guys who I talked to were there, he was basically chased out of the Marshall Motor’s garage in Somerville in Winter Hill, and that’s when he went to the Lancaster garage in, on North End, which is closer to home, closer to his. Space of operations. Yeah. But Whitey was very treacherous and he was Machiavellian in his methods. Joe at the time was already on the lamb because I don’t think Whitey would’ve survived that if Joe was close and saw what he was doing. So it’s a lot of what could have been, if Joe wasn’t in the wind because of several other crimes and murders he was [00:16:00] doing at the time, he was actually on the FBI’s 10 most wanted on 76, long before Whitey was on it. Gary Jenkins: Interesting. So then the relationship between Howie Carr and Joe Mack how was that, how did that shake down? Springs Toledo: Howie Winter, you mean, Gary Jenkins: or Howie Winter, I’m sorry. Springs Toledo: Yeah. Howie Winter was mentored by Joe Mack. See, Joe Mack was really, he was like the general, he was like the general on the field. The Irish don’t operate in a hierarchy. That’s an Italian thing. There’s no ring kissing in an Irish pub. It’s just a different culture. What they were partners. You had one guy up front. He was the face of it. That’s Howie. Howie was the face of it before Howie’s buddy McClain. In the early, in the early sixties. Joe though, the guy in the shadows, he used to say, I’m at the back of the bus. He’s at the back of the bus, but he’s the one with the map. He’s the go-to guy. The guy up front is the guy that gets hit. That’s the guy that gets indicted. So Joe was astute enough to, just stay in the [00:17:00] background, let the kids have it. But they were. Very close, very close. During the war they were, very tight-knit organization. These were friends. They were very affectionate with each other. They took care of one another. This is before Whitey came in. He was, he poisoned the well. But Joe and Howie and Buddy McClean and they, anos when they come in, they were very close. It was a kind of a band of brothers in a way. But Joe still made. Maintain that, everybody was at arms length with him. He was careful about everybody. There was a rift between Howie and Joe later in their respective lives in the in the eighties, into the nineties. I’m told that it was healed. I don’t think it was, and that’s unfortunate. But they were close to most of their lives, they literally went to war together on, on the street, you’re gonna form strong bonds when you know you’re looking at this guy and you gotta rely on him to watch your back. And Gary Jenkins: yeah, Springs Toledo: that’s what was happening. Gary Jenkins: So Irish, they didn’t kick up, if you will, to somebody above them. Everybody was a kind of a independent operator. If you got a piece of action and you had something going that you didn’t have to kick up to [00:18:00] somebody to be part of the Winter Hill gang, if you will. Springs Toledo: That was where the, there were a lot of crews around. They were called independents. And there’s a lot of them around in Boston in the sixties. But if you got too big and you started making real money, Patri was a power in Boston. Gary Jenkins: Yeah. Springs Toledo: Raymond Patri, he was a power in Boston. There’s no doubt about that. But there’s two schools of thought. Some believe that Winter Hill had to always kick up to them, kick to Providence. Others say? No, not really. Because first of all, he loved Buddy McClean. Buddy McClain was he was a very charismatic guy, very tough guy, and he was a man of his word, so they really liked him. So there’s the other school of thought is that, they liked Buddy, they gave him a pass on that. But every now and then they’d have to do him favors, maybe do some hits, things like that. Yeah. Yeah. But again, but in, in Boston it’s, like I said, it’s mostly Irish, it’s not set up like New York where the Italians are a real power that’s right there. He, one guy, matter of fact a name of one of the chapters in the book where I get into the Gangland war. Is Boston was [00:19:00] overrun with sick bastards, quote unquote, because there was just so many dangerous guys. There wasn’t a few here and there, like the gallows or it, there was hundreds of guys and there was damn near psychopathic they were called and underworld polls. There was savages, they go right to your house. And it was too many. This, one guy actually several believed that if there was a problem between Rhode Island. The Boston Underworld, meaning Boston Writ Lodge, including Somerville, Medford, Malden, all that. That. The Italians would’ve come to the table. ’cause the Irish underworld, the Boston Underworld here would’ve made it very much not worth it. Not worth the blood and the treasure. So it’s, yes, with very interesting culture here. What you couldn’t control the Boston underworld. They would just, Boston itself has a reputation. You don’t wanna invade this place. Gary Jenkins: Yeah, just ask the English, huh? Springs Toledo: Exactly. Yeah. We go way back with that stuff. Yeah. Gary Jenkins: Yeah it’s, I was at I went into the north end and looked around at Prince Street and all the place where [00:20:00] Jerry Angelo and all that was going on, and that is such a small. Discreet little area in that then, so you, they just operated and he was not any kind of a real power. It didn’t seem to be like, compared to patriarchal. He was under patriarchal of course. And he didn’t really, it’s like the Irish all had their own thing all around him. All, and he didn’t really have didn’t, I didn’t find any, anything I’ve ever seen where there was much to do between those two. Was there, did he have anything about that? Springs Toledo: He had he had two guys joe Russo, he was a killer. He was a very serious individual and a guy who has two names. Some call him Byi, some call him Zino. Larry was his name. Very serious guy. But that’s two guys. The other dangerous guys in the north end. They were getting up there in age. Meanwhile, like you just alluded to, this sur this surrounded, by these, these crazy guys. Yeah, but they, they did. There was some interplay, there was some contracts would be given to the Hill, for instance. That happened several times. The Hill would borrow [00:21:00] money from Angelou and Jou had a lot of money. They’d borrow money from him. Whitey Belger borrowed money from him with Fleming and actually didn’t pay it back. And then Joe Mack got out of the can. This is 80 late 86, 87, and him and Howie went to Fleming and Whitey and said, listen, you’re paying them back. Matter of fact, you’re paying them back a million because you made us look bad. We pay our debts, you pay him, you pay in back 1 million. And they did. They Whitey Bulger. Yeah. Whitey Bulger did not step two, Joe McDonald. In other words he wasn’t the power that Johnny Depp would have us believe. Gary Jenkins: Interesting. So let’s go back to the family just a little bit. His daughter Jack Le, so when he went to prison, did she talk about that? I have a friend who went to prison for several years and he talks, tells me a lot about his kids coming to visit him in prison. Did he talk about that? Did she talk about that? How that affected her? Springs Toledo: She she talks about her whole life and how he was a shadow in her life. She loved him, [00:22:00] but he brought a lot of chains behind him and a lot of ghosts and a lot of fear of FBI raids and things like that. Even when he was on the run from the FBI was on the, top 10 most wanted, it’s only six o’clock news all over the place in every post office. He would just show up and see her. He thought he was being a dutiful father. He’s showing up. He’s got these black sideburns, glued onto his face and she could see the ink dripping. He got his rug on his head he startled her a lot. So she. He was a cause of great anxiety. And then she became a mother, and then things started to change. She had to protect her boys. And while, he looked like he could be a good grandfather, he was an extremely dangerous man. And when he went away to prison, she tried to be a good daughter. She would send him clippings. Matter of fact, she sent him a clipping of I think it was a national examiner because her father was in it. It was about the top 10. FBI fugitives. And she pointed out she was into astronomy and she astrology and she pointed [00:23:00] out that Joe Mack and another guy named Leo Corey had the same birthday, July 14th. So she thought he’d get a kick outta that. He gets outta prison a few years later, and he shows up at her house with Leo Corey. Who’s still on the top 10 most wanted. And she, he opens the door. He said, do you remember this guy? And she turned, that, that was a scary, that was a very scary moment for her. Yeah. He’s bringing very, this is a convicted murderer. It’s a multiple murderer. She’s got bringing, he’s bringing it to her house like he’s an old friend. So that kind of stuff happened a lot. It almost show off like that. Look what I can do. Yeah. So she had, I, she did love him and she has since forgiven him. And I think this book is part of her process to forgive, what he put her through and what he put his other children through. Not intentionally, he tried to be a good father, but how can you. In that position. Gary Jenkins: Yeah. Yeah. When you bring that violence into the home, and you can’t help but bring that aura of [00:24:00] violence with you. When you live that life and when you come back into the home, there’s still that edge of violence that, that unspoken communication, you jump every time, somebody pulls up out in front and you’re running to the window to see who it is and there’s just always, always on edge. I, that would be it. Springs Toledo: Here’s a good story. So he’s on the run. This is in the I think it’s the late sixties. Joe’s on the run. She’s at home and Joe set his wife and kids up in Malden and a house on the hill. And originally he was gonna live there too. And it’s a, it is a great place. He’s up, he’s on a corner. He’s on a hill. You can see Boston from it. So it’s got a great vantage point for kind of a, a paranoid damaged war veteran. Yeah. So a call comes into the house. Voice says, you know who this is. She’s about 11, 12 years old. Voice says, you know who this is? Yes. Meet me at the bottom of the hill. So she gets her sister Patty and they meet their dad at the bottom of the hill. He takes them bowling and saga. He’s got the disguise on. Yeah. He’s got so many IDs, fake IDs, and he’s they [00:25:00] go to they, they go bowl and. You gotta wait for Lane. So he’s sitting there like this, he got his arms out. He’s feeling good about himself. He’s a good dad. He got his two teenage girls here and one of ’em, one of ’em, almost a teenager. And suddenly over the intercom, Thomas Campbell, your lane is ready. And he’s just sitting there. Thomas Campbell, he’s just sitting there. Finally his daughter says, pat says, dad, that’s you. Oh. And off he goes. So he wasn’t even sure who he was half the time. Yeah. So he’s my heart went out to him in that sense because here’s a man who made some very dark life choices and he’s trying to be a conventional father. Meanwhile, he’s gotta keep his eye on the clock, on the door, on the phone and everything else, all day long. Not to mention the fact that, there’s, it was dangerous lifestyle. But, his daughters, I, his daughters, they idolize him and they loved him. They didn’t fear him, he never raised his hand to them, never raised his hand to them, but they feared what he brought with ’em. Yeah. And that’s a theme book. Gary Jenkins: Yeah. Interesting. Yeah, that’s a, that’s that is so interesting. Think about this [00:26:00] era or of violent violence. I think somewhere in the book I noticed I was going through it where he may have been possibly one of the suspects on the Joe Barbosa head out in San Francisco when they finally got him and in. Springs Toledo: That’s fascinating because actually I had to take out ’cause of the publisher, I take about 15,000 words, but I really get into that. But that had to go. But what happened was. He had to go out there and kill a federal witness. And this guy was a civilian. This guy looked like a grandfather. And but he was gonna be a fence for some rear stamps that Joe had taken a million dollars worth of rear stamps. And this guy was gonna be the fence. He was a rear stamp collector out in Sierra Madre. Long story short, in January of 1976, Joe Mack drives out there, shoots him in the head five times in front of his wife, and then in February, that’s when Bob Bozer is killed February, 1976. This is January, 1976. Now, what I heard from two sources, and they’re pretty good, is that Joe did not go from Sierra Madre, [00:27:00] California back to Somerville. What he did was he went to Laurel Canyon and that’s where Alex Rocco was staying. Alex Rocco du played Mo Green in The Godfather. Oh, Gary Jenkins: yeah. Yeah. Springs Toledo: Yeah, he was a Winter Hill guy and Joe stayed with him on the lamb for so many weeks. I don’t know if it’s true. I couldn’t chase that down. No way you’re gonna find that out. But it was an intriguing little tidbit. So then in in February Bob Bozer is killed. Now when that news hit a bar in Boston called Clocks was a mob hangout. The bartender who knew all these guys. He got off the phone and he yelled out to the bar that Bleepity bleep stool pigeon. Animal Barbosa is dead and gone. God bless Joe Mack. That’s what he said. He just assumed Joe Mack did it. So what I’m trying to chase that down and what happens is so I’m talking to guys, who’re talking to guys. What I [00:28:00] found out is that one guy said no, this that, that wasn’t Joe that was kept in-house among the Italians because Bob Bza really took apart the Italians influences Yeah. In Boston. Yeah. He took them apart with lies. And however, there were three people in that van. I got these I got freedom of information documents and. What I was told by a made guy actually, is that it was Russo and Byi Zino. They’re the ones that took out Bob Bozo with a shotgun from a van. The van two seats were taken out of the van. The windows were painted black. This. Side windows were painted black and peeps were drilled into the side door and the back, so they worked hard to get ’em, but there was a third man in the van, so that’s a little intriguing. Could it have been Joe? I don’t know. Probably not. I’d have to say probably not, but nice story. And then from there, and then literally just a few weeks after that, Joe was in disguise. Remember now he’s already on the news as a as a top 10 fugitive. The FBI’s looking [00:29:00] for, and where is he? He’s in Walpole. How did I find out? I got everybody’s prison records. I could, and Brian Halleran, who turns up later in the book and then turns up dead later in the book. He’s in prison. Joe visits him. How do I know? It’s Joe’s Alias? John A. Kelly, that was his alias at the time. So he’s wanted by the FBI, he’s on the news and literally a week or two later. He’s visiting somebody in Walpole State Prison. From there, I trace him to Montreal. What’s he doing in Montreal? He’s sticking, he’s holding up a an ahed car robbery. With the Montreal Express, they had a great program, the Montreal Express. And Somerville, what they would do is they would just swap guys to do these big highs, get these ika, get these banks, and then just return. So it was awfully hard to catch ’em ’cause they’re just doing like a swap off. Yeah. Joe Mack. Was up there. And what he was doing was, and he, it was a white van, which raises an eyebrow, another white van. And the Amed car, the guy wouldn’t open the door. So they open up the [00:30:00] door of the back doors of the white van. And there is a World War II Browning anti-aircraft gun. And guess who’s behind it? Joe Mack. So this is a very busy man, and he should be, he’s retirement age but did he kill Boba? Probably not, but there was a third guy there. I would not be surprised. I know the Italians used him. Gary Jenkins: You brought something to Montreal Express Now what’s that? I, that I’m not from, I’ve not heard that term before. Springs Toledo: I wasn’t either, but that a lot of guys told me they Gary Jenkins: back heard your story there. Springs Toledo: Yeah, there is. Yeah. They were they were up, they were they were bank robbers. They went for the armor trucks. That was their forte. Very well organized. Very skilled. They were specialized and they would swap off with, winter Hills, sometimes with Southie and South Boston, I should say. South Boston and Somerville would, they were very close, they were very much aligned. They would swap off. I think one of ’em was the brother of a Bruins hockey player. Yeah. Gary Jenkins: Interesting. These guys, they got their connections. I found out more and more after I since I started doing this podcast, how many connections people [00:31:00] had between cities and even within a city connections to regular look like Square John, businessmen and just connections all over the place. It’s Springs Toledo: all over the place. Matter of fact, Joe was Joe was in contact with the guys who escaped from Alcatraz. I couldn’t prove it, but I heard that, he was sending them money and, and supporting them. I pro I didn’t find nearly 50% of what Joe was up to, but that’s more than anybody else. I think before this book, we knew about 2% of what he was up to. Yeah. Gary Jenkins: It was Springs Toledo: pretty guy. Sure. Yeah. He was a footnote in the most of the books. Just a footnote, if that. So Gary Jenkins: that’s the smart one, the one that keeps his head down and keeps out of the papers and everything. Did that, did you talk to John Ano? Springs Toledo: Yes. Yeah. Gary Jenkins: Interesting. Springs Toledo: I did. He was he loved, first thing he said was how much he loved him. All these guys, very serious guys. They’re very powerful guys in the underworld. And when I brought his name up the ones who were close to him, they would say I love that. I love that man. Loved him. They loved and [00:32:00] revered him. Other guys who were not as close to him, but who were very, operatives in the bus world. I bring his name up now, he’s been gone since 1997. And they’d look around like this. And they say, oh gee. So you know, his name is still enough to and matter of fact, I was told early on when I was poking around that I’m poking around in dangerous places and Joe still has friends and you don’t wanna cross these guys, so even now his his shadow still looms, if you will, but I think it approve of what I did because, what I heard is that he’s very honest. He would not want any biographer to pull a pull punches about who and what he was. I didn’t, yeah. But some of his friends warned me. They were, you gotta be careful with this, but I call it bachelor’s privilege. I’m not married, I have no kids. If I end up in a ditch, who cares? So I can take risks. Gary Jenkins: Yeah. That’s some truth. It’s just that last few minutes before you’d done the dish, you go, oh shit, I wish I was anywhere but here. I, Springs Toledo: I would ask to talk to a priest. Let me get a confession. That what you gotta do, Gary Jenkins: you Springs Toledo: know, Gary Jenkins: you’d be like I think it was Tony Citro. Supposedly the story was he [00:33:00] wanted to know if he could say a quick prayer before they did him in, but Springs Toledo: I hope they let him, Gary Jenkins: I don’t know. Steve Fleming, we met, you’d mentioned about Steve Fleming, the Rifleman, who was whitey’s buddy and you, I think you mentioned you had a story about Steve Fleming. Springs Toledo: Steve Fleming was it’s interesting he doesn’t appear too much in the book. One of the things I had to do with this, I had to do my best to keep the names down. One of the a fatal flaw in a whole lot of Boston and Underworld books than any underworld books is there was just 8,000 names. Too many names. There’s too many names. So I, so I mentioned him a few times ’cause you have to, but I’m not focused on Fleming, but I can tell you that Joe was very suspicious of Fleming as early as he was very suspicious of Whitey. He respected him. Fleming was a killer. More of an ambush killer than than a Savage or a guy who took a lot of risks. He was a lot like Whitey, like that. But no, Joe didn’t trust him because. He had a long bid and he got out early, and that’s always a cause for concern among those guys. Why are [00:34:00] you out early? They got a story and the stories backed up by the government. They were already in cahoots. Gary Jenkins: Yeah. Springs Toledo: But with the names, there was one guy, this is an example. He was actually an MDC cop who was part of the Winter Hill gang in the early sixties, and his name was Russ Nicholson. I don’t wanna keep saying Russ Nicholson, the cop. So I shortened it to Russ the cop. Yeah. And then as things went on and the, police department realized that this guy’s involved in the rackets, they forced him to resign. So then I started calling them Rust, the ex cop. Then Rusty ex-cop gets clipped probably by Georgie McLaughlin. He’s dead, so now he’s Rust the dead ex-cop. So I’m trying to be polite to the reader and keep the names down. Gary Jenkins: Interesting. That’s a good idea that I know about that, that people say I love what you did, but there’s too many names. I got confused who was who. So it’s Springs Toledo: yeah, Gary Jenkins: it’s always a problem with these deals. All right, Springs, Toledo. [00:35:00] Let’s see. All of a sudden I like there it is. There you go guys. And guys, I will have your his link to for all his books and the show notes and of course links to my books too, but links to all of these guy, these books. You had some even about John Brown. You wanna go back into little Civil War history? Why check those out too. Guys, thanks so much for coming on the show. Springs Toledo: My pleasure.

Yanzdemîn Festivala Şanoya Amedê ya Navnetewî di 22ê Nîsanê de destpêkir ku heta 2ê Gulanê bi bernameyên rengin û dewlemend dê bidome. Ji 19 welatan 22 lîstik dê werin pêşkêşkirin. Berfîn Zenderlîoglu û Merîwan Helepçeyî derbarê festîvalê de diaxivin. Doktor Sabir Ebdulahîzad, jibo gohdarên SBS Kurdî li ser têgeh û ferhenga Yasaya Kurdî zanyarîyan dide.

Aloziyên di navbera Tirkiye û Îsraîlê de bi giranî ji ber piştgiriya xurt a Tirkiyê ji bo Filistînê û dijberiya li hember çalakiyên leşkerî yên Îsraîlê li Xezeyê, ku piştî 7ê Cotmeha 2023an bi tundî zêde bûn. Serokkomarê Tirkiyê Erdogan bi tundî rexne li Îsraîlê girt, ku ev yek bû sedema têkçûna têkiliyên dîplomatîk û Tirkiyê Îsraîlê bi sûcên şer tawanbar dkie. Zêdetir derbarê wê mijarê û mijarên din di raporta Hatice Kamer ji Amedê hene.

Di 10ê Adarê de helbestvanê navdar, Ehmed Huseynî jiyan ji dest da. Ehmed Huseynî ji ber nexweşîna penceşêrê li bajarê Stockholm li Swêdê xatirê xwe ji vê cîhanê xwest. Cenazeyê wî birin Amedê û li Navenda Kongreyê ya ÇandAmedê merasîmek hat lidarxistin. Di merasîmê de hevrêyên Huseynî, nivîsîkar, helbestvan, rojnamevan, nûnerên rêxistinên civaka sivîl û partiyên siyasî jî amade bûn. Peyamnêra SBS Kurdî Hatice Kamer ji me behsa merasîmê dike.

Li bajar û navçeyên Kurdan, Newroz îsal li 53 cîhan bi awayekî girseyî hate pîrozkirin. Li Amedê digel baran û sermayê, bi deh hezaran kes ji bo pîrozkirina Sersala Kurdî li hev civiyan, bi agirê Newrozê, muzîk û gotaran rûdan pîroz kirin.

Li Trikiyê û li bajarên Kurdan, pîrozkirina Cejna newrozê destpêkiriye. Dê îsal li 53 navendan Newroz were pîrozkirin. Dirûşma Newroza îsal “Newroza Azadî û Yekîtiya Demokratîk” e. Şahîya li Amedê, wekî hersal di 21ê Adarê da ye. Ji ber rewşa Rojava û Rojhelat, coşîyek pir nîne lê çaverê ye ku bi dehan hezar kes beşdar bibin.

Şerê Amerika/Îsraîlê li dijî Îranê di roja 12an da ye, ku di çar û dehê mehê de, du mûşekên Îranê li Tirkiyê hatin xistin. Serokomarê Tirkiyê Recep Tayîp Erdogan da xuyakirin û hişyariyên pêwîst bi zelalî ji Îranê re hatine ragihandin. Erdogan bi telefonê bi Serokomarê Îranê Pezîşkiyan re axivî û got ‘armancgirtina Îranê ya li ser welatên cîran sûdê nade tu kesî.'' Zêdetir derbarê vê mijarê di raport Hatice Kamer ji Amedê heye.

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

Roja 21ê Şibatê, Roja Zimanê Dayikê ye. Li Amedê jibo wê rojê komele û tevgerên zimên bernameyên curbicur amade dikin. Demet Ceylan behsa van bernameyan dike.

In this episode, Kelsi Sheren discusses the troubling implications of the Amed report regarding euthanasia for minors in Canada, particularly focusing on SickKids Hospital. She highlights the shift in parental rights and the ethical concerns surrounding minors making life-and-death decisions without parental consent. The conversation delves into the historical context of euthanasia policies and the alarming trend of expanding these practices to children, urging listeners to pay attention to these critical issues.Chapters00:00 Introduction and Subscriber Milestone00:59 Understanding SickKids Hospital01:55 The Amed Report and Parental Rights03:51 The Role of Assessors in Euthanasia Decisions06:07 Ethical Concerns and Medical Decisions for Minors08:06 The Shift in Parental Consent and Authority10:03 Historical Context and Euthanasia Expansion11:54 The Implications of Euthanasia Policies13:51 Call to Action and Conclusion- - - - - - - - - - - -One Time Donation! - Paypal - https://paypal.me/brassandunityBuy me a coffee! - https://buymeacoffee.com/kelsisherenLet's connect!Instagram - https://www.instagram.com/thekelsisherenperspective?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw%3D%3DX: https://x.com/KelsiBurnsInstagram: https://www.instagram.com/kelsie_sheren/Substack: https://substack.com/@kelsisherenTikTok - https://x.com/KelsiBurnsListen on Spotify - https://open.spotify.com/show/1O3yiobOjThKHtqyjviy1a?si=6c78bdc2325a43aeSUPPORT OUR SPONSORS - - - - - - - - - - - -MasterPeace - 10% off with code KELSI - http://MasterPeace.Health/KelsiKetone IQ- 30% off with code KELSI - https://ketone.com/KELSIGood Livin - 20% off with code KELSI - https://www.itsgoodlivin.com/?ref=KELSIBrass & Unity - 20% off with code UNITY - http://brassandunity.com- - - - - - - - - - - - -CHARITYHeroic Hearts Project - https://www.heroicheartsproject.orgDefenders of Freedom - https://www.defendersoffreedom.usBoot Campaign - https://bootcampaign.org

Helbesta ‘'Ez xortê Kurd im, pir bi nav û deng", xwediyê wê, rewşenbîr, dîrokzan, zimanzan û nivîskarê Kurd Mehmet Emîn Bozarslan e, ku li welatê Swêdê koça dawî kir. Bozarslan ji Amedê ye û 49 salan ji welatê xwe dûr bû.

Guhdare tevahiya bernameya SBS Kurdî ya 22/01/2026 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê, hevpeyvîneke taybet bi berdevkê berê yê hevpeymaniya bi pêşengiya Amerîka ji bo têkbirina DAIŞê li Sûriye û Iraqê derbarê rewşa Kurdan û Sûriyê. Gelek babetên cur bi cur di naveroka bernameyê de hene.

Rewşa Rojava, li Tirkîye, li bajarê Kurdan dibe sedema nerazîbûnê û ji Amedê heta Wanê, ji Stembolê heta Nisêbînê bi hezaran Kurd ji bo piştigrîya Rojava li kolanan, di xwepêşandanan de beşdar bûn. DEM partî, civîna grûpa partîya xwe ya parlamenê, roja Sêşemê li sînor, li navçeya Nisêbînê, beramberê Qamişloyê lidarxist.

Guhdare tevahiya bernameya SBS Kurdî ya 15/01/2026 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê, hevpeyvîneke taybet bi rojnamevan Hoşeng Hesen re derbarê rewşa Kurdan li bakur-rojhilatê Sûriyê heye. Û gelek babetên cur bi cur di naveroka bernameyê de hene.

It's an Emmajority Report Thursday on The Majority Report On today's program: Trump posts to Truth Social, threatening to invoke the Insurrection Act in Minnesota. Minneapolis resident Patty O'Keefe recounts her experiences as a legal observer being arrested, abused, and detained at the Whipple Center in Minneapolis. The Twin Cities Pioneer Press publishes an article about three Native Americans who were rounded up by ICE. Another Native American speaks about his experience being detained by ICE. This attack on Natives highlights the ICE project is about ethnic cleansing and nothing else. Amed Khan, human rights advocate and political activist, joins Emma to discuss what he has witnessed over the past two years in Gaza. Through the Amed Khan Foundation, he has purchased and delivered emergency child nutrition throughout the genocide in Gaza. Molly White publisher of the Citation Needed newsletter joins Emma to talk about 2025 of having been the year of the "Technoligarchy". In the Fun Half: Brandon Sutton and Matt join the program. Candace Owens posits the theory that Charlie Kirk was a time traveler marked from birth. Makes sense. ICE blinds a 21-year-old in his left eye after shooting him with a pepper ball at point blank. Former Secretary of State, Mike Pompeo speaks at a Zionist conversation in Miami where he says he wants to ensure that history books do not write about the "victims in Gaza". All that and more To connect and organize with your local ICE rapid response team visit ICERRT.com The Congress switchboard number is (202) 224-3121. You can use this number to connect with either the U.S. Senate or the House of Representatives. Follow us on TikTok here: https://www.tiktok.com/@majorityreportfm Check us out on Twitch here: https://www.twitch.tv/themajorityreport Find our Rumble stream here: https://rumble.com/user/majorityreport Check out our alt YouTube channel here: https://www.youtube.com/majorityreportlive Gift a Majority Report subscription here: https://fans.fm/majority/gift Subscribe to the AMQuickie newsletter here: https://am-quickie.ghost.io/ Join the Majority Report Discord! https://majoritydiscord.com/ Get all your MR merch at our store: https://shop.majorityreportradio.com/ Get the free Majority Report App!: https://majority.fm/app Go to https://JustCoffee.coop and use coupon code majority to get 10% off your purchase Check out today's sponsors: SUNSET LAKE: and use the code NEWFLOWER—all one word—to get 30% off their new crop of hemp flower and vape carts at SunsetLakeCBD.com  Follow the Majority Report crew on Twitter: @SamSeder @EmmaVigeland @MattLech On Instagram: @MrBryanVokey Check out Matt's show, Left Reckoning, on YouTube, and subscribe on Patreon! https://www.patreon.com/leftreckoning Check out Matt Binder's YouTube channel: https://www.youtube.com/mattbinder Subscribe to Brandon's show The Discourse on Patreon! https://www.patreon.com/ExpandTheDiscourse Check out Ava Raiza's music here! https://avaraiza.bandcamp.com

Guhdare tevahiya bernameya SBS Kurdî ya 8/01/20256 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê, hevpeyvîneke taybet bi pispora li ser karûbarên Îranê, Şukriya Bradost, birêvebira sereke ya Çareseriyên Ewlehiya Çar Alî ku li ser pêla dawî ya xwepêşandanên li Îranê diaxafe. Û gelek babetên cur bi cur di naveroka bernameyê de hene.

Li Amed û li gelek bajarên Kurdan r din îsal berfeke zêde bariya, li nav bajêr de nêzikî mîtroyek berf ket û pileya germê daket bin sifirê -17 derece. Pispor dibêjin ev afat û karesat e ku jiyana rojana asteng dike. Herweha di naveroka raporta Hatice Kamer ji Amedê gehs li ser gelo pêvajoya derbarê pirsa Kurd li Tirkiyê ji ber pêşketinên li bakur-rojhilatê Sûriyê di bin metirsiyê de ne, Serokê MHP Devlet Bahçelî jibo HSD û Mazlum Ebdî çi got û Dem Partî çi bersîv da?

Guhdare tevahiya bernameya SBS Kurdî ya 18/12/2025 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê, hevpeyvîneke taybet bi Bijar Koban afrînerê yekem hunermenda Kurdî Zozan C ya ku bi AI hatiye çêkirin jî têde heye. Û gelek babetên cur bi cur di naveroka bernameyê de hene.

Li Amedê hefteyekê bernameyên kulturî çêbûn. Sêyemîn Festîvala Fîlman ya Amedê piştî heyşt rojan, di 14ê mehê de bi rêûresma xelata fîlman bidawî hat. Derhêner Ali Kemal Çinar bi fîlma ''Dîroka Wenda'' xelata Fîlma Metrajdirêj wergirt. Ji aliyê din ve, di 15ê mehê de, piştî neh salan, xelatên tekstên şanoya Kurdî jî hatin belavkirin. Di 7emîn xelatên Evdirehîm Rehmî Hekarî pêşbazîya Nivîsandina Lîstikên Şanoyê yên Kurdî de îsal xelata Yekemîn dan Îbrahîm Kazimî jibo teksta wî ya bi navê "Kela Dimdimê".

Guhdare tevahiya bernameya SBS Kurdî ya 11/12/2025 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê, hevpeyvîn jî têde heye. Û gelek babetên cur bi cur di naveroka bernameyê de hene.

Sêyemîn Festivala Fîlimên Navnetewi ya Amedê di 7ê mehê de li Amedê destpêkir û dê hefteyekê bidome. Di nav hefteyekê de 84 fîlim tên nişandan. Bi dehan derhêner û hunermend jî beşdar dibin. Diruşma Festîvalê “Dinya bi Çîrokan Tê Cem Hev”. Li alîkî din Komîsyona Parlementoya Tirkîyê bi gohdarkirina Abdullah Ocalan, dawî li proseya gohdarîkirina kes û sazîyan anî. Niha her partîyek di komîsyonê de li ser vê pêvajoyê pêşnîyar û fikarên xwe amade dikin.

Guhdare tevahiya bernameya SBS Kurdî ya 04/12/2025 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê, hevpeyvîn jî re jî têde heye. Û gelek babetên cur bi cur di naveroka bernameyê de hene.

Guhdare tevahiya bernameya SBS Kurdî ya 27/11/2025 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê, herweha hevpeyvîna bi Roka Şido re jî têde heye. Û gelek babetên cur bi cur di naveroka bernameyê de hene.

Di 24ê Mijdarê de ji Komîsyona Parlemana Tirkîyê sê parlementer çûn hevdîtina Abdullah Ocalan. Ji AKPê, Cîgirê Serok Huseyîn Yayman, ji MHPê, Serokê Grûpê Fetî Yildiz û ji DEM Partîyê, Cîgira Grûpê Gulistan Kiliç Koçyigit çûn Girava İmraliyê. Yekem car e ku ji bilî DEM Partîyê, parlamenterên Tirk diçin serdana Abdullah Ocalan dikin. Li alîyekî din, li Amedê ji bo 25ê Mijdarê Roja Navneteweyî ya Ji-holêrakirina Tundiya li ser Jinan, bi pêşengîya Tevgera Jina Azad (TJA) meşeke girseyî li darket. Di axaftinan de hate gotin ‘'Tundiya li ser jinan pişta xwe ji sîstêma hêza serdest a mêran digire.''

Guhdare tevahiya bernameya SBS Kurdî ya 20/11/2025 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê, herweha hevpeyvîna bi hunermendê wênesaziyê Ibrahîm Tîmarî re jî têde heye. Û gelek babetên cur bi cur di naveroka bernameyê de hene.

Di 17î Mijdarê de li Amedê 750 sazî û dezgehên Kurd bi daxuyanîyeke hevpar bang li dewletê kirin. Deklerasyonê ji 750 dezgehan dexwaza Zimanê Kurdî bi awayekî fermî bê nasîn û bibe xwedî statu. Herweha Zimanê Kurdî ji baxçê zarokan heta zanîngehan bibe zimanê perwerdehiyê.

Dive shops are some of my favorite places. An atmosphere of learning, a melting pot of characters, an opportunity to discover new friendships. While spending some time at Tek Deep Asia last year, I had the opportunity to meet Priyamvada Tiwari. Originally from India, she came to Amed for training. It was great to have her on the podcast to hear her story of how it all began and how it's going. From Open Water to Instructor, Recreational to Technical, Local diving around India, a mission to see more women in the industry, and much more. Please enjoy.  Recorded in July 2025Instagram:https://www.instagram.com/tvmayirp

Guhdare tevahiya bernameya SBS Kurdî ya 13/11/2025 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê, herweha hevpeyvîna bi rojnamevan Sîrwan Qejo re derbare civîna di navberî Trump û Al-Şaraa de jî têde heye. Û gelek babetên cur bi cur di naveroka bernameyê de hene.

Serdozgeriya Stembolê li dijî Ekrem İmamoglu iddianameya xwe temam kir. Jibo Îmamoglû 142 sucên cuda ceza tê xwestin ku ew ji Adara 2025an de girtî ye. Li alîkî din piştî biryara Dadgeha Mafê Mirovan, hêvî û bendewarîyên jibo azadîya Demirtaş didome. Lê gelek rûniştvanên Amedê bawer nakin ku ew bê azadkirin. Di çarçova 25ê Mijdarê Roja Tekoşîna li Dijî Tûndûtûjiya li ser jinan, çendîn çalakî lidardikevin.

Guhdare tevahiya bernameya SBS Kurdî ya 06/11/2025 e rengîn û balkêş bike. Nûçe, raportên ji Hewlêr û Amedê têde hene, herweha hevpeyvîna bi dîzaynera Kurd Lara Dizeyî re jî têde heye. Û gelek babetên din hene.

Guhdare tevahiya bernameya SBS Kurdî ya 30/10/2025 e rengîn û balkêş bike. Nûçe, herdu raportên ji Hewlêr û Amedê têde hene, herweha hevpeyvîna bi bi hozan Xanemîr û hunermend Ardil jî têde hene. Û gelek babetên din.

Guhdare tevahiya bernameya SBS Kurdî ya 23/10/2025 e rengîn û balkêş bike. Nûçe, herdu raportên ji Hewlêr û Amedê têde hene. Herweha hevpeyvîna bi Dr Elî Zêbarî re derbarê bilindbûna dozên grîpê yên îsal li Australya. Û gelek babetên din hene.

Nehemîn Pêşengeha Pirtûkan ya Diyarbakir di 18ê mehê de destpêkir û roja yekşemê bidawî tê. Ji 30 weşanxane, komele, sazî û dezgehên Kurdî zêdetir di pêşangehê de beşdar bûn û di nav heşt rojan de bi dehan çalakîyên kultûrî hene. Weke gotûbêj, xwendina çîrok û helbestan, û imzekirina pirtûkan. Îsal beşdar kêmin, weşanxane balê didin ser bandora xerab ya krîza ekonomîk li Tirkiyê. Parlamena Tirkiyê roja Sêşemê 21ê Cotmehê daxwaza Serokomar Recep Tayyip Erdogan a dirêjkirina dema operasyonên Artêşa Tirkiyê li Sûriye û Iraqê ji bo sê salên din pejirand. Zêdetir derbarê mijarên li jor di raporta ji Amedê de heye.

Guhdare tevahiya bernameya SBS Kurdî ya 16/10/2025 e rengîn û balkêş bike. Nûçe, herdu raportên ji Hewlêr û Amedê têde hene, herweha hevpeyvîna bi Tim Buxton demazrînerê You Belong jî têde heye. Û gelek babetên din.

Dadgeha Mafê Mirovan di meha Tîrmehê de li ser Doza Kobaniyê jibo Selahattîn Demirtaş biryar da ku divê Tirkîye wî azad bike ku dadgeh bawer dike biryara girtina Demirtaş biryareke siyasî ye. Hêvî hebû jiber pêvajoya aşitîyê Tirkîye li dijî biryara dadgehê dernekeve û Demirtaş di 8ê mehê de azad bibe lê Tirkîye îtiraz kir. Rojîn Kabaîş a 21 salî, ji Amedê, xwendekara Zanîngeha Wanê, salekê berê di Gola Wanê de mirî hate dîtin. Lêpirsîn li ser gûmana ku Rojîn xwe kuştibe desrpêkir lê malbata wê li dijî vê îdiayê derdikeve û bawer dikin keça wan hatiye kuştin.

Raporta vê hefteyê, hevpeyvîneke digel parêzer Mehmet Emîn Aktar, parêzerê hevaşeradarê Amedê, Adnan Selçuk Mizraklî ye. Mizrakli şeş sal in li girtîgeha Edirne girtî ye, ew digel Selahattîn Demirtaş dimîne.

Şanoya bajarê Amedê perdeya xwe bi lîstikeke jinan vekir. Navê lîstikê JİN e û ji derhêner heta listikvanan jinin. Derhêneriya şanoyê Mizgîn Bîlmen e, koreografiya wê Bêrîvan Savgat û dramaturgiya wê jî Berfîn Emektar e. Herweha di raportê de behs li ser meşa 1ê îlonê Roja Aşitiya Cîhanê dibe ku bi hezaran welatî, ji bo dexwaza aşitiyê meşeke girseyî lidarket. Raporta Hatice Kamer.

Bi hezaran jin li ser medyaya civakî gelek navdarên di warên huner, sînema, û wêjeyê de eşkere dikin û îdia dikin ku wan destdirêjî li wan kirine. Parêzer Asli Pasînlî li Amedê, taybet li ser tevgera femînst û mafê jinan, xebatê dike. Beşê duyem ji raportê Hatice Kamer bi Serokê Baroya Amedê Abdulkadîr Guleç diaxafe. Ew roja Çarşemê digel serokên baroyên bajaran li parlemena Tirkîye, bi komîsyona pêvajoya çareseriyê re rûniştin û derbarê rewşa sîstema hiqûqê, binpêkirina mafan hizrên xwe parevekirin.

Nûçegîhan Hatice Kamer ji Amedê hevpeyvînek bi hevserokê Komeleya Avesta, Remezan Kaygusuz re pêk aniye. Di 1ê meha Tebaxê de, şaredariya Konakê ya bajarê İzmirê, deriyê komeleya Avestayê mohr kir. Lê piştî bertek û nerazibûnên zêde, şaredariyê piştî 14 rojan deriyê komeleya Kurdî vekir. Şaredarî ji bo hiceta morkirina komeleyê got 'ruxsata wê ji bo perwerdehiyê nîne'. Hevserokê komeleyê Ramazan Kaygusuz, li dijî morkirina deriye komelê gotibû ''Yê ku hate morkirin ne deriye komeleyê ye, zimanê Kurdî ye.''

Komîsyona Pêvajoya Aştiyê ya nû li Parlamena Tirkiyê roja Duşemê 5ê Tebaxê civîna xwe ya yekem li dar xist, ku ev gaveke girînge ber bi çêkirina çarçoveyeke yasayî ji bo çareseriyeke siyasî ya demdirêj ji bo pirsgirêka Kurd û vejandina pêvajoya aştiyê ya berfirehtir li seranserê Tirkiyeyê, da em zêdetir li ser pêvajoyê bizanibin em bi nûçegîhan Hatice Kamer ji Amedê diaxafin.