Podcasts about Shut

On Wednesday's Mark Levin Show, there is no divide among MAGA supporters. President Trump has our unanimous support. But there are a small group of malcontent podcasters who appeal mainly to leftists who are trashing the country, Trump and the military while placing acolytes in the administration to undermine both Trump and U.S. military. Joe Kent is an alleged leaker and is wrong on Iran. He hasn't even been included in briefings for months due to suspected incessant leaking to the White House's concern. How can such a person hold his position of the Director of the National Counterterrorism Center if trusted officials fear he will leak sensitive information. Also, in breaking news, according to Semafor the FBI is investigating Kent for allegedly improperly sharing classified information as part of a leak probe that began months before his resignation. It now looks like he resigned to control the narrative, not because of the Iran war. Later, the ongoing military campaign has destroyed Iran's capacity to produce more ballistic missiles and is now targeting remaining launchers while hunting hidden nuclear material sites. After 47 years of Iran killing Americans directly and indirectly, allowing them to acquire a nuclear weapon would leave few options.   Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, we explore Mistral's new 'Forage' platform for custom AI models, the Pentagon's development of AI alternatives to Anthropic, and Google's expansion of its personal intelligence features. We also cover updates on BuzzFeed's 'AI slop apps' and the controversy surrounding ByteDance's 'SeedDance' AI video app.Chapters00:00 AI News Roundup & AIBox.ai Updates02:12 Google's Personal Intelligence Expansion04:03 Pentagon Building Anthropic Alternatives06:01 Mistral Forage Launches for Enterprise AI07:40 BuzzFeed's AI Content Experiment08:40 US Senators Call for SeedDance Shutdown LinksGet the top 70+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

From dance moves to money moves, Dylan Kevitch went viral and never looked back. Hear how he made a whole career out of telling people to STFU and well, you know the rest. Dylan dishes on the Kardashians, Paris Hilton, and his dating life!See omnystudio.com/listener for privacy information.

As the US-Israeli military campaign against Iran enters its third week, the complexities of the global energy landscape are deepening by the hour. Shut-ins of Middle Eastern upstream oil production are now approaching 10 million barrels per day, 20% of the world's liquefied natural gas remains shuttered, and the Strait of Hormuz is effectively closed to normal maritime traffic. And while a historic 400-million-barrel release from the US Strategic Petroleum Reserve helped blunt oil prices from rising further over a hundred dollars per barrel, flow rate limitations mean such stockpiles may only meet one fifth of the ongoing daily disruptions. In this episode of the Iran Conflict Brief, host Daniel Sternoff sits down with Richard Nephew to give an update on the latest events in Iran. They provide an analysis of the ongoing military strikes, including the recent US targeting of Kharg Island and Iran's retaliation against the UAE's Fujairah port. Richard is a senior research scholar at the Columbia Center on Global Energy Policy and the author of The Art of Sanctions. Over the past two decades, he has held a range of senior roles in the US government, including deputy special envoy for Iran, principal deputy coordinator for sanctions policy at the Department of State, and director for Iran at the National Security Council. Credits: Hosted by Daniel Sternoff. Produced by Mary Catherine O'Connor, Caroline Pitman, and Kyu Lee. Engineering by Gregory Vilfranc.

WGN Radio’s Charlie Roumeliotis breaks down the Blackhawks’ 4-0 loss to the Vegas Golden Knights. Steve Konroyd joins the discussion from T-Mobile Arena to discuss the uninspiring first period after a rewarded off day, a feisty Connor Bedard, and more. Later, we hear from Alex Vlasic, Teuvo Teravainen, and head coach Jeff Blashill. Plus, Charlie shares his […]

Join the H-Hour Patron Community at patreon.com/hkpodcasts ***** Live-streamed to H-Hour patrons, this Icebreaker introduces returning guest Alex Brockdorff and runs through patron questions about his Army career and acting work. Alex explains that Sandhurst is designed as a training course—selection should mean candidates can pass—though passing out isn't proof of “excellence,” and new officers should “keep your mouth shut and listen.” He recalls finishing Sandhurst in 2008 and being sent rapidly to Iraq with QRH in Basra, initially stuck on watchkeeper duties until he pushed to go into the city, and later doing a full Afghanistan tour on Herrick 15. Now freelancing in film, he says insecurity drives stress but he's learned to “roll with the punches.” He describes pivoting into acting after watching Rafe Spall direct non-professional actors, and praises Warfare's immersion—real radios and live comms—saying, “Shit's going fully fucking sideways,” and arguing it should be heard loud in Dolby Atmos. Alex Brockdorff Is an actor and former soldier. He joined the Army in 2008 with deployments to both Iraq and Afghanistan - in 2014 he left the military to pursue a career in film. He as appeared in a slate of films, network and streaming television dramas, and most recently he played Mikey in the critically acclaimed WARFARE (A24). https://www.alexbrockdorff.com/

#crimechatwithnatandkat bring you this week's Episode 161: Zipped Shut! The Killing of Jorge Torres! Kat kicks off this ep with the TOP 10 List of the Transportation Security Administration's most recent “Hall of Shame”—the wildest, weirdest, and most “what-the-hell-were-they-thinking?” items intercepted at airport checkpoints. Then, Nat gets into the killing of Jorge Torres... after a late-night game of hide-and-seek, accompanied by some alcohol, Sarah Boone recorded Jorge's last moments, begging for help, while she laughed and then went to bed. It wasn't until the next morning that Sarah realized something was terribly wrong ... find out what happened when the episode airs, on Saturday, March 14, 2026! You can find the CrimeChat anywhere you get your favorite #truecrimepodcasts! #amazonpodcasts #applepodcasts #youtubepodcasts #spotifypodcasts #patreon #rss #rumble

Tiffany grew up hearing about the paranormal from her father, who investigated strange activity as a hobby. Even though she had experiences growing up, she always tried to ignore them. It felt easier not to think too much about it.A few weeks after marrying her high school sweetheart, Tiffany found herself alone in their quiet Iowa home while her husband was away. What started as a normal evening quickly turned unsettling when something inside the house made it very clear she wasn't alone.At first she assumed there had to be a logical explanation. But as the strange incidents continued—and eventually happened in front of someone else—it became harder to dismiss what was going on.#RealGhostStories #HauntedHouse #ParanormalExperience #GhostStories #HauntedBasement #TrueGhostStory #ParanormalEncounter #ThingsThatGoBumpInTheNight #HauntedHome #UnexplainedLove real ghost stories? Want even more?Become a supporter and unlock exclusive extras, ad-free episodes, and advanced access:

A federal judge has sided with Washington State Lawmakers in a dispute over press credentials, denying a restraining order sought by conservative media figures. The lawsuit claimed that the lawmakers unfairly denied them access by refusing press passes. This decision raises concerns about potential bias in media access and the ability of independent journalists to report on government activities effectively. Brandi Kruse, a prominent figure in the case, argued for equal access and transparency. Critics argue this sets a dangerous precedent, limiting diverse perspectives in news coverage and potentially shielding lawmakers from scrutiny. This ruling underscores the ongoing tension between government control and press freedom, particularly for conservative outlets. We will keep you updated on this developing story as it unfolds in Washington.

(00:00) Zolak & Bertrand start the show by reacting to some potentially troubling comments from Eliot Wolf about whether the team needs a WR #1.(9:20) The crew touches on Eliot Wolf keeping the door open on a potential Stefon Diggs reunion.(23:09) We discussed whether it's time to be concerned about a Christian Gonzalez extension after Eliot Wolf's comments yesterday.(32:53) The guys finish the segment with some thoughts about the quarterback moves in the AFC East.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In today's Cloud Wars Minute, I explain why Oracle's massive RPO growth proves demand for AI infrastructure is real, not a bubble. Highlights 00:00 — For the last several weeks, we've all been hearing gloom and doom, there's going to be AI overcapacity for data centers, and then talking about all these things that Oracle can't do. I want to talk about this in the context of Oracle's terrific Q3 numbers that came out earlier this week. I hope what they'll do as a residual effect is shut the pie holes of some of these just lame-brain skeptics . 01:15 — So I hope some of those people either be quiet, get off to the sidelines, or maybe think a little bit more about how the world is changing, and the tech vendors, especially the ones in the Cloud Wars Top 10, have to change to meet these new times. So let me describe some of what's behind that in these big numbers from Oracle. 01:38 — Like I said, there is RPO, remaining performance obligation, up 325%. It added $29 billion of new RPO in the quarter. The cloud business, 44%. It's $8.9 billion, very, very strong there. Inside some of those numbers, its multicloud database up 531%. It's a huge jump. That's where Microsoft, Amazon, and Google Cloud all sell the Oracle database to their customers. 02:22 — So a big, big business there, the AI infrastructure business overall up 243%, and the RPO is now up $553 billion, well over half a trillion dollars of contracted business that Oracle has not yet recognized as revenue. So it shows enormous growth for the future. Yet in spite of all these things, we've heard relentlessly from these Chicken Little types. 03:04 — First, that there's an AI data center buildout. This is all a bubble. It's going to explode. There's all these hundreds of millions of dollars in CapEx chasing a dream that will never happen. We've heard a lot about that Oracle, which earlier this year said it's going to use debt financing to fund its data center expansion. That that's terrible. 04:18 — Oracle's wildly profitable. It's in great shape on this. There are still other cry babies who are running around saying that the new CEOs aren't ready to handle this. They were supremely in charge on this earnings call, very, very clear, concise descriptions of the strategy and what's going forward. 05:02 — Now, looking ahead this fiscal year, which ends May 31, Oracle's projecting total revenue $67 billion. A year out from that, fiscal 27, it's projecting total revenue for the company of $90 billion. So the whole company growing 34%, turbocharged by what it's doing in the cloud and AI. This is an extraordinary time to be alive. Don't listen to the doom and doomsday folks. Visit Cloud Wars for more.

Iran is activating its doomsday weapon: an economic war and severe damage to oil exports from the Gulf, which account for about 20% of global oil, by moving to block the Strait of Hormuz and paralyzing oil exports. Dr. Yaron Friedman from Haifa University’s Department of Middle Eastern and Islamic Studies, says the measures being taken by Saudi Arabia and the UAE are expensive and temporary. He told reporter Arieh O’Sullivan that it was important that Iran’s enemies are not tempted to strike Iran’s oil facilities since it could severely damage attempts to rebuild Iranian economy after the war. (photo: Altaf Qadri/AP) See omnystudio.com/listener for privacy information.

Adrian Denny recapped the Utah Mammoth's 5-0 shutout loss to the Minnesota Wild.

Ravens wife, Alicia, received a “Boy Wrapped Gift” on her birthday this weekend. Which brings Anna and Raven to the topic... What do you silently judge someone about? Having no wrapping skills and bragging about not voting? Speaker phone in the store. An Italian exchange student was brought to Olive Garden from his host family.  Anna quizzes her restaurant owner Italian father on the “Italian food” American's eat... and if its really Italian Anna went to an 80s themed fundraiser this weekend and it threw her back to high school immediately. She could see the cliques from a mile away. Producers Justin and Producer Sophia explain their High School cliques.  Ryan Gosling broke character, per usual, this weekend while hosting Saturday Night Live. Anna and Raven wrote commercials for each other and attempted to make one another break character. Do you think they can do it?  Absolute. Breaking. News. The Kelce family is notorious for their constant updates in pop culture news. Today it may be the biggest, and the entire world is talking about it. This time- its not a brother. Its Donna.  After Anna found out an Italian baseball team takes shots of espresso in the dugout during the game, she took matters into her own hands and wanted to do the same in the studio…. kind of. Anna and Raven go head to head in baseball trivia. Loser takes an espresso shot. That's a win-win for Anna, however, she's been in a handstand for 12 minutes. Minced Oath. Ever heard of it? us either? However, you probably know what it means. Its  A way around swearing. After majority said their kid are absolutely not swearing, we found a new route. Shut the front door.  Lexi became a stay-at-home mom last year and left her job after having her second baby. Her husband, Mitch, says that she needs to stick to a budget and wants to give her an "allowance" for a fun fund to reign in her spending. She thinks it's obnoxious to treat her like a child, she's a responsible adult and can decide how much she wants to spend on items. Just because she isn't working doesn't mean what she wants doesn't count. He argues that there needs to be structure in their finances. What do you think? Sue has a chance to win $500! All he has to do is answer more pop culture questions than Raven in Can't Beat Raven! 

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

Leave Britney Alone. This week Ellyn is joined by Tony Award winner Daisy Eagan while Joey is out and they chat all things Britney Spears. They talk about her recent arrest, but also trace back her timeline and conservatorship all the way up to her recent DUI arrest. Listen to Ellyn and Daisy weekly on Shut the F*** Up, Nick Lachey wherever you get your podcasts! Subscribe on Apple below https://podcasts.apple.com/us/podcast/shut-the-f-up-nick-lachey/id1752366968 Learn more about your ad choices. Visit megaphone.fm/adchoices

LESSON 68Love Holds No Grievances.You who were created by Love like Itself can hold no grievances and know your Self. To hold a grievance is to forget who you are. To hold a grievance is to see yourself as a body. To hold a grievance is to let the ego rule your mind and to condemn the body to death. Perhaps you do not yet fully realize just what holding grievances does to your mind. It seems to split you off from your Source and make you unlike Him. It makes you believe that He is like what you think you have become, for no one can conceive of his Creator as unlike himself.Shut off from your Self, Which remains aware of Its likeness to Its Creator, your Self seems to sleep, while the part of your mind that weaves illusions in its sleep appears to be awake. Can all this arise from holding grievances? Oh yes! For he who holds grievances denies he was created by Love, and his Creator has become fearful to him in his dream of hate. Who can dream of hatred and not fear God?It is as sure that those who hold grievances will redefine God in their own image, as it is certain that God created them like Himself, and defined them as part of Him. It is as sure that those who hold grievances will suffer guilt, as it is certain that those who forgive will find peace. It is as sure that those who hold grievances will forget who they are, as it is certain that those who forgive will remember.Would you not be willing to relinquish your grievances if you believed all this were so? Perhaps you do not think you can let your grievances go. That, however, is simply a matter of motivation. Today we will try to find out how you would feel without them. If you succeed even by ever so little, there will never be a problem in motivation ever again.Begin today's extended practice period by searching your mind for those against whom you hold what you regard as major grievances. Some of these will be quite easy to find. Then think of the seemingly minor grievances you hold against those you like and even think you love. It will quickly become apparent that there is no one against whom you do not cherish grievances of some sort. This has left you alone in all the universe in your perception of yourself.Determine now to see all these people as friends. Say to them all, thinking of each one in turn as you do so:I would see you as my friend,that I may remember you are part of me and come to know myself.Spend the remainder of the practice period trying to think of yourself as completely at peace with everyone and everything, safe in a world that protects you and loves you, and that you love in return. Try to feel safety surrounding you, hovering over you and holding you up. Try to believe, however briefly, that nothing can harm you in any way.At the end of the practice period tell yourself:Love holds no grievances.When I let all my grievances go I will know I am perfectly safe.The short practice periods should include a quick application of today's idea in this form, whenever any thought of grievance arises against anyone, physically present or not:Love holds no grievances. Let me not betray my Self.In addition, repeat the idea several times an hour in this form:Love holds no grievances.I would wake to my Self by laying all my grievancesaside and wakening in Him.- Jesus Christ in ACIM

Two hockey fans from South Florida – Tori Warenik and Guillermo Torrente – team up to provide knowledge you can get anywhere about their favorite NHL team: the Florida Panthers. These two friends will post weekly updates during the NHL season on Panthers games and talk about news around the league. 

camels - https://people.com/20-camels-disqualified-from-beauty-contest-in-hump-inflation-botox-cheating-scandal-11920244

In this groundbreaking episode of the Tick Boot Camp Podcast, we interview Dr. Jayakumar Rajadas, a Stanford Medicine researcher who has discovered multiple breakthrough therapeutic candidates for Lyme disease, Babesia, and Bartonella. His work includes the discovery of Disulfiram's effectiveness against Lyme and Babesia, Azlocillin's potent activity against Lyme and Bartonella, and advanced targeted drug-delivery systems designed to preserve the gut microbiome. Dr. Jay's research has been featured in TIME Magazine (Azlocillin) and Forbes (Disulfiram), and connects deeply with the work of leading Lyme researchers, including Dr. Monica Embers (Tulane), Dr. Kim Lewis (Northeastern), Dr. Kenneth Liegner, and Dr. Brian Fallon (Columbia University). This interview delivers hope, science, and unprecedented detail on what may become the next generation of Lyme disease treatments. Key Topics Covered 1. How the Stanford Tick Initiative Sparked a New Era of Drug Discovery In 2012, Stanford launched a major initiative in response to community demand for better Lyme treatments. Dr. Rajadas was selected to lead drug development, focusing specifically on persistent/chronic Lyme disease, where few researchers were working. 2. Understanding Borrelia: Active vs. Stationary Forms & Why Chronic Lyme Persists Dr. J explains the three key survival modes of Borrelia burgdorferi: Active Phase The bacteria are replicating and metabolically active. Easier to kill with standard antibiotics. Stationary Phase Bacteria reach population limits and slow down growth. Represents early persistence mechanisms. Persister Forms Triggered by stressors like antibiotics (e.g., doxycycline). Bacteria fold into round bodies, spiral forms, or compact “cement-like” protective balls. These forms: Shut down metabolic pathways Resist penetration Survive antibiotic exposure Why Doxycycline Can Fail Doxycycline can induce persisters, causing Borrelia to form impenetrable protective shells rather than die. This is why many patients initially feel better, then relapse. 3. Disulfiram (Antabuse): Lyme + Babesia Breakthrough Featured in Forbes One of the biggest scientific shocks of the last decade: Discovery Through Stanford's high-throughput screening of FDA-approved drugs, Disulfiram emerged as a top hit. Clears Borrelia (including persistent forms) Clears Babesia — a major advantage over standard antibiotics Does NOT harm the gut microbiome Is already FDA-approved and widely used for alcohol aversion therapy Highly potent but requires careful dosing due to side effects in inflamed patients. Why Some Patients Improve, and Others Suffer Chronic Lyme patients already have heightened inflammation. Disulfiram is a powerful molecule whose polymorphic forms behave differently in different people. His lab developed: Less toxic formulations Buccal & sublingual delivery systems Rectal delivery options These may reduce neuropsychiatric side effects reported by some patients. Clinical Connections Dr. Kenneth Liegner pioneered clinical use and published cases Dr. Brian Fallon conducted NIH-listed clinical trials. Many clinicians now use Liegner's protocols. Real-world example: Matt shares the story of Brooke Stoddard (Generation Lyme), who regained his life after Disulfiram treatment under Dr. Liegner. 4. Azlocillin: The Antibiotic That TIME Magazine Called a Gamechanger If Disulfiram is the Lyme and Babesia weapon, Azlocillin may be the frontline tool for Lyme and Bartonella. Why Azlocillin Is Revolutionary Eradicates both active and persister forms of Borrelia. Destroys doxycycline-induced “cement ball” persisters by drilling into their vulnerable cell-wall synthesis pathways. Proven effective against Bartonella when paired with azithromycin, based on research by Dr. Monica Embers (Tulane) . The Cell-Wall Vulnerability Breakthrough Persisters STILL must maintain minimal cell-wall synthesis to survive. Azlocillin exploits this tiny vulnerability: It penetrates the protective sphere Breaks the “cement wall” Forces the bacteria out of hibernation Kills them rapidly This discovery is one of the biggest scientific leaps in Lyme research in a decade. The Delivery System That Protects the Gut Microbiome Azlocillin is extremely hydrophilic, making absorption difficult.Dr. Jay fixed this by creating: A magnesium-lipid nanoparticle formulation Designed to release in the upper intestine Avoiding the colon (where most microbiome lives) This allows: High bloodstream absorption Minimal microbiome damage Oral availability of a drug previously only available via IV Why Azlocillin May Be Better Than Disulfiram Hits Borrelia + Bartonella Stronger anti-inflammatory effects No polymorphism issues Fewer side effects Potent against persisters A company is preparing to bring his oral formulation to clinical trials by next year. 5. Loratadine (Claritin): The First Clue from 2012 Before Disulfiram and Azlocillin, Dr. Jay's lab identified Loratadine (Claritin) as a manganese transporter inhibitor of Borrelia. Why it mattered: Borrelia uniquely relies on manganese, not iron. Blocking manganese uptake may weaken the bacteria. The discovery went viral, with many patients reporting improvement even at OTC doses—though the binding affinity was weak. This project introduced the concept of drug repurposing for Lyme to the scientific community. 6. Melittin (Bee Venom) — The Micro-Needle Patch Alternative Bee venom therapy is widely used in the Lyme community, but risks stings and allergic reactions. Dr. J is developing: Melittin micro-needle patches Delivering the active peptide without stinging Using dissolvable, painless needles A safe, controlled, pharmaceutical-grade delivery approach This could modernize bee venom therapy and make it more accessible. 7. Mechanism of Brain Fog & Fatigue in Lyme: A Major Breakthrough Dr. Jay's lab published a neuroscience paper demonstrating: Outer Surface Protein (Osp) Nanoparticles Borrelia sheds lipid-coated outer membrane particles. These form stable nano-vesicles that: Enter the bloodstream Cross into the brain Cause mitochondrial dysfunction Reduce ATP production Result: Brain Fog, Fatigue, Cognitive Dysfunction This explains why neurological Lyme can persist even after bacterial levels drop. This work ties strongly to ongoing research at Columbia University under Dr. Brian Fallon. 8. Collaborations With World Leaders in Lyme Research Dr. J's research intersects with: Dr. Kim Lewis (Northeastern University) Reproduced and validated Disulfiram findings publicly. Helped launch interest in persister-killing therapies. Dr. Monica Embers (Tulane University) Demonstrated Azlocillin + Azithromycin effectiveness against Bartonella. One of the world's foremost experts in persistent infection models. Dr. Kenneth Liegner Early clinical pioneer of Disulfiram therapy. Published stunning recovery cases. Dr. Brian A. Fallon (Columbia University) Leading psychiatrist specializing in post-treatment Lyme. Conducted planned Disulfiram clinical trials. These collaborations form a powerful network accelerating treatment development. 9. New Anti-Inflammatory Discoveries: Galangin & More Dr. Jay recently co-authored a 2025 paper on: Galangin (Thai ginger rhizome extract) Which may reverse cardiac inflammation and fibrosis His team is also exploring other nutraceutical molecules for chronic inflammation relief in Lyme patients. 10. Dr. Jay's Personal Story of Illness and Hope He reveals for the first time: He was diagnosed with Stage 3 Multiple Myeloma Lost the ability to walk Suffered unbearable pain After cutting-edge therapies and research, he is now in full remission His message to Lyme patients: “There is ALWAYS hope.”

JAH JAH !!! give THANKS & PRAISE !!! tracks listed at deermit dot com

Panther's five-eighth Blaize Talagi lifts the lid on the impact of Panther's leadership group and reveals the squad didn't focus on last year's heartbreak loss to fuel revenge mission. See omnystudio.com/listener for privacy information.

Thus He will sprinkle many nations, Kings will shut their mouths on account of Him... – Isaiah 52:15

Shut up, shrimp. Flamingo assault!!! Selling your kidneys for Metallica tix. See omnystudio.com/listener for privacy information.

THIS IS A PREVIEW. IF YOU WANT TO LISTEN TO THE FULL EPISODE, CHECK OUT FRUITLESS ON PATREON HERE: https://www.patreon.com/user?u=11922141EPISODE ON PATREON: https://www.patreon.com/posts/152401378It's the February music exchange! Shut up, no, it's not March. This episode is a February episode. In this installment, Josh and I discuss Ultimate Success Today by Protomartyr and Sabotage by Black Sabbath. Also we talk about Nirvanna the Band the Show the Movie.Music by Protomartyr, Black Sabbath, and SHADE08 ★ Support this podcast on Patreon ★

Catch up on all the headlines in Utah Jazz, NBA, College Basketball, NFL, College Football, MLB, RSL, Utah Mammoth and NHL news with "What is Trending" for March 6, 2026.

Adrian Denny recaps the Utah Mammoth's 3-0 shutout of the Philadelphia Flyers.

Two things Dev don't play around with (01:30)Building a real relationship (05:55)Seething (06:45)Chickens have came home (12:30)Just go to work (17:25)The decision you make (24:30)You gotta deal with that devil (33:00)Weight was dropping off (41:40)Shut down (47:00)Heard the clock ticking (53:20)I need a bible (01:00:00)The biggest lie (01:09:00)Socials Twitter@THDLongviewWoo@Deshawn_903TikTok @Deshawn__903@LakeportWooWordpress@woonation.wordpress.com

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Attorney General Pam Bondi took to Capitol Hill with her burn book in hand and a message to Congress, the victims of Jeffrey Epstein and the American people: Shut up, the Dow hit 50,000. She was right about the Dow Jones Industrial performance until the next day, when stocks dumped out on news that AI might be real and that the economy added 400,000 fewer jobs last year than we originally thought. That’s the thing about building an entire narrative around the stock market. The stock market is not the economy. And the victims of Epstein’s crimes deserve better. Resources MS Now: FULL HOUSE HEARING: AG Pam Bondi testifies over handling of release of Epstein files Business Insider: Anthropic and OpenAI release dueling AI models on the same day in an escalating rivalry Fortune: Anthropic’s Claude triggered a trillion-dollar selloff. A new upgrade could make things worse Matt Shumer: Something Big Is Happening Matt Shumer on X U.S. Department of the Treasury: Monthly Treasury Statement: Receipts and Outlays of the United States Government For Fiscal Year 2026 Through January 31, 2026, and Other Periods UNFTR Resources Video: Epstein Victims Deserve Better Than Bondi's Economic Theater -- If you like #UNFTR, please leave us a rating and review on Apple Podcasts and Spotify: unftr.com/rate and follow us on Facebook, Bluesky, and Instagram at @UNFTRpod. Visit us online at unftr.com. Become a member at unftr.com/memberships. Buy yourself some Unf*cking Coffee at shop.unftr.com. Visit our bookshop.org page at bookshop.org/shop/UNFTRpod to find the full UNFTR book list, and find book recommendations from our Unf*ckers at bookshop.org/lists/unf-cker-book-recommendations. Access the UNFTR Musicless feed by following the instructions at unftr.com/accessibility.Support the show: https://www.unftr.com/membershipsSee omnystudio.com/listener for privacy information.

Hey, it's Katie and I want to welcome you to this special bonus episode. It'll be here for you completely ad-free for the next week so you can get a feel of what it's like to be a PREMIUM member. If you'd like an easy ad-free experience for all of our podcasts - that's over 200 episodes each month, then JOIN PREMIUM today at https://WomensMeditationNetwork.com/premium This meditation helps you release racing thoughts and sink into mental stillness, allowing your mind and body to fully relax. Breathe with me

Sometimes too much is just enough! This week, our criteria is simple…but that doesn't make it easy.  We're looking at albums with 20 or more songs - whether they are long or concise, and regardless of how many slabs of vinyl or hunks of digital plastic are contained within. And, ultimately, it's not about quantity, it's about quality. Just because it's sprawling doesn't mean it can't be purposeful. One such album, weighing in at 27 tracks and nearly 85 minutes, is the purposeful new album Proverbs by Atlanta/Athens band The Shut-Ups. To quote the synopsis on The Shut-Ups Bandcamp page, Proverbs is a “double album full of dubious advice for a stiff-necked people.”  It's a sprawl of an album that's rooted in power pop and new wave-influenced indie rock, but covers a dizzying range of stylistic ground, and is all tied together by sardonic songwriting and an irreverent sense of humor.  Our Third Lads are the constant creative force of the Shut-Ups, songwriter/vocalist/keyboardist Don Condescending, and multi-instrumentalist Jason NeSmith…a name that we've brought up a bunch of times on this very podcast as he not only also plays in Pylon Reenactment Society and Casper and the Cookies, but is also the renowned mastering engineer behind so many of the sonically and musically great records and reissues by many of our past guests. Get happy with O3L! Learn more about your ad choices. Visit megaphone.fm/adchoices

03 Mar 2026. Plus, The Strait of Hormuz is closed and Iran will fire on any ship trying to pass. That's according to Iranian media quoting an Iranian Revolutionary Guards senior official. Robin Mills explains the implications for global energy supply. Rustin Edwards breaks down how insurers cancelling war-risk cover is reshaping shipping costs, and gold specialist Jeff Rhodes joins us live on safe-haven price dynamics.See omnystudio.com/listener for privacy information.

Go to www.LearningLeader.com for full show notes This is brought to you by Insight Global. If you need to hire one person, hire a team of people, or transform your business through Talent or Technical Services, Insight Global's team of 30,000 people around the world has the hustle and grit to deliver. www.InsightGlobal.com/LearningLeader The Learning Leader Show Key Learnings  Go out and dent the universe. Erin's parents didn't put pressure on her to get perfect grades or go to Harvard; they wanted her to use her privilege and beautiful upbringing to make the world a better place. Youngest child syndrome makes you quick. Being the youngest of six, Erin learned to speak very quickly to get her thoughts in at the dinner table, and she was given unsolicited advice her whole childhood (which is why she loves giving advice now). Your siblings' sole job is to keep you grounded. Erin's parents are proud and supportive, but her siblings roast her and beat her down (all in good fun) to keep her as humble as possible. Success is attributed to a sense of humor. Erin gave career advice that was funny, and nobody had ever really seen that before. You don't get that unless you're the slightly bullied youngest of six kids your entire life. Rejection rage is a choice. At a Women in Film networking event, the head of the organization paused Erin's documentary trailer 30 seconds in and said, "You need to be more realistic." Erin went on to get a Pulitzer fellowship and premiered a feature documentary at 23 with international distribution. When you get a rejection, you can either let it beat you down or say, "I'm going to show them." "Tell me about yourself" is the world's worst interview question. It's lazy, not specific, and hard for the interviewee to truncate their entire life into 90 seconds. Use the past-present-future template: 1-2 sentences about your past, 1-2 about your present role, then future (where the interviewer's ears perk up), connecting to why you're applying for this specific role. Specificity is the magic word. When sending cold emails, the chances of getting a good response dramatically increase if you're specific: specific praise, specific question. Instead of "Can I pick your brain over coffee?" say, "I watched your video about X, and when you said Y, it piqued my curiosity." Higher quality questions get higher quality answers. This isn't just for podcasts or job interviews; it's a life skill. Good professional communication is like chess, not checkers. Most people just play checkers (you said this to me, I'm going to say this to you), but chess is thinking 10 steps ahead about what your end goal is and how this person falls along the path to that goal. Don't ask for a raise; ask for an adjustment to your compensation. Your job is transactional (you do work, they pay you). When you accepted your salary, you were doing X, Y, Z. Now you're doing X, Y, Z plus A, B, C. It's no longer an equal partnership, so you need an adjustment. It's not personal, it's just professional. Know your audience and your leverage.  Emotional regulation is powerful communication. If we just act impulsively and say what's on our mind all the time, it doesn't actually get you where you want to go. Always keep your desired outcome in mind. It's about checkmate. Don't just react, think about what the end goal is and how this conversation gets you there. Humanize people, don't make them wrong. That egotistical senior VP is probably actually really insecure about where they are in their career and wakes up every morning not knowing what they're doing. Put your ego to the side. Being a great communicator requires taking a break from thinking about yourself and thinking about what the other person's life is like and what their goals are. Align your goals with their goals. Think about how you can create that authentic relationship by figuring out how your goals align with what they're trying to accomplish. Shut up and listen. We do a little bit too much talking when we're trying to negotiate or strategize. It can be very beneficial to embrace the silence and practice active listening. Curiosity is an amazing way to show love. Being genuinely curious about a person makes them like you, and it becomes more natural the more you do it. Compliments have to be genuine and specific. People are way better at sniffing out fake compliments than you realize. If you can't find one thing you truly admire about someone, don't say anything. Don't make it transactional. When people ask, "How do I not make it feel like I'm using them?" Erin says, "Well, don't use them. Just be genuine." The most loving thing you can do is respect people's time. Meeting bloat has gotten really bad since the pandemic, and a lot of time is disrespected in meetings across the world. Maybe don't have the meeting. A lot of meetings are completely unnecessary, or at least the way they're set up, the people invited, or the way they're run are really inefficient. Only invite crucial people. Make sure that only the people who absolutely need to be there are invited to the meeting. Always have an agenda. At the beginning of every meeting, say "Here are the three things we're going to cover today, and here's the goal of this meeting." Put it in the calendar link with bullet points. Don't have brainstorming meetings. Have meetings with very tangible goals at the end, state them up front, and make sure that goal has been achieved by the end. Email subject lines are underutilized. Erin's dad's company would put tags like "request," "informational," or "command" on subject lines so you knew exactly what type of email it was and what was expected. The exercise of making a five-year plan changes your brain. Erin doesn't believe in sticking to a five-year plan, but the exercise of thinking about the future creates new neural pathways that change the way you think about yourself and your life. A happy life is an intentional life. The vast majority of people float through life and act very reactionary. Sitting down and thinking about what you actually want in five years is powerful self-care. Sit down with your partner and do this together. Before you get married, make five-year plans together. They might look really different (which is revealing) or really similar which doubles down on alignment. Create multiple five-year plans if you're young. If you don't know which path you're going to take, create five different scenarios for yourself and see which one energizes you most. Financial freedom is a goal worth stating. Erin wants to be financially free in the next five years, which allows her to pursue mission-driven work on her own terms. You're just another human trying to figure it out. Even though Erin wrote the book on workplace communication, she's still winging it every day just like everybody else. Combat the knowledge curse by staying connected to real people. When you're an expert in something, it's hard to imagine not being an expert. Erin moved back to Maryland suburbs to experience people working normal corporate jobs, DMs with people daily about their experiences, and gets on free calls just to listen. The data in newsletters tells a different story than people's actual experiences, so she stays grounded by hearing real anecdotes from IT workers in North Carolina or nurses in Kentucky. Set goals really high. Erin wants her startup to help 500,000 job seekers in a year, which is ambitious, but she doesn't care if she fails as long as she tries to reach it. More Learning #507 - Jesse Cole: How to Build Your Idea Muscle #344 - Jesse Cole: How to Create "You Wouldn't Believe" Moments #365 - James Altucher: How to Become An Idea Machine Reflection Questions Good communication is chess, not checkers. Think about a difficult conversation you need to have this week. Instead of just reacting to what they say, what's your desired outcome? What would "checkmate" look like, and how can you think 10 steps ahead to get there? Who in your life keeps you humble If no one does, how might you be losing perspective on yourself? What would it look like to invite that kind of honest feedback into your life? Erin recommends making a five-year plan, not to stick to it, but because the exercise creates new neural pathways. When's the last time you sat down and intentionally thought about what you want your life to look like in five years? What's stopping you from doing that this week?

In this episode, Tubby listens to the third album by Onyx, "Shut Em' Down".

Welcome to The Daily Wrap Up, an in-depth investigatory show dedicated to bringing you the most relevant independent news, as we see it, from the last 24 hours (2/28/26). As always, take the information discussed in the video below and research it for yourself, and come to your own conclusions. Anyone telling you what the truth is, or claiming they have the answer, is likely leading you astray, for one reason or another. Stay Vigilant. !function(r,u,m,b,l,e){r._Rumble=b,r[b]||(r[b]=function(){(r[b]._=r[b]._||[]).push(arguments);if(r[b]._.length==1){l=u.createElement(m),e=u.getElementsByTagName(m)[0],l.async=1,l.src="https://rumble.com/embedJS/u2q643"+(arguments[1].video?'.'+arguments[1].video:'')+"/?url="+encodeURIComponent(location.href)+"&args="+encodeURIComponent(JSON.stringify([].slice.apply(arguments))),e.parentNode.insertBefore(l,e)}})}(window, document, "script", "Rumble");   Rumble("play", {"video":"v748wcq","div":"rumble_v748wcq"}); Video Source Links (In Chronological Order): Stephanie Seneff PhD Interview - Glyphosate & The Engineered Sick Care System Biotech and Pesticide Corporations Are "Winning" Under Trump's Second Administration New Tab (20) Monitor

(00:00-18:14) How familiar are you with 60's folk rock? The Coming of Age Movie Draft on Movie Boi tomorrow. Joe Kelly on his competitive spirit lasting into coach youth baseball. The Greg Olsen Podcast. Parents justifying their investment in kids' sports. Is Sanibel hoosier? 30A is still the rat tail of Florida. Phillies signed an 11 year old to a $1.8M deal.(18:22-22:58) Does Sharon read these texts before she sends them? Married at the Brazier Dairy Queen. Dilly Bars and such. It's not our place to set listeners up with each other. Shut up and talk about the Battlehawks!!!(23:08-26:22) And the winner of the Design Aire Heating & Cooling EMOTD is...See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In the 6 AM Hour: Larry O’Connor and Patrice Onwuka discussed: Nancy Guthrie disappearance: Prosecutors visit crime scene, over 1,600 tips since increased reward Savannah Guthrie immediately wanted to offer $1M reward for mom Nancy — but she was told not to: sources JD Vance says Minnesota’s Medicaid funds halted as part of Trump’s ‘war on fraud’ WMAL GUEST 6:35 AM - INTERVIEW - President of The Family Foundation WEBSITE: https://www.familyfoundation.org/ TOPIC: Reflect on the importance of Sage Blair attending Trump’s State of the Union Address this week Eric Schmitt on X: "In the span of just one generation Democrats went from having pride in America at basically the same level as Republicans to now only 1/3 of Democrats feel that way. Republican numbers have held. See omnystudio.com/listener for privacy information.

February 26, 2026: Engineers are facing a productivity panic as coding agents accelerate output — and pressure — at the same time. Nvidia just posted a staggering quarter, underscoring how fast the infrastructure buildout is moving compared to the human transition. Reuters reports nearly one million young people in the UK are now "NEET" (not in employment, education, or training), a flashing warning light for the entry-level pipeline. Burger King is rolling out an AI assistant that listens in, coaches, and scores worker performance in real time. And Rolex's ultra-competitive trade school is producing graduates positioned for $95,000 jobs — a counter-narrative to the idea that all opportunity lives in knowledge work.

In hour 3 of the Morning Roast, Spadoni and Shasky get into what Kendrick Perkins had said recently and if they agree with his take on the Warriors shutting down Steph Curry for the rest of the season. Is the season still viable to make a push for a better seed?

EP 137Chris and Joey do shows in close proximity. Peter recalls when he was sold FAKE tickets to the 20/20 Experience. This week we break down lyrics to TAKE BACK THE NIGHT, by JUSTIN TIMBERLAKE!

We have the SOTU tonight, and that's big. We will learn what we already know, and that's GREAT news for us.The US hockey team beat Canada in OT. Game winning goal by a Jew! What?!I secretly hoped the winning goal would be scored by a transexual Guatemalan midget!But we are all Americans!The mother of the kid who scored the winning goal is Ellen Hughes. Three of her sons play in the NHL. And she coaches the women's team, I think.What a legacy for that woman! She won't be honored in the women's movement because her sons LOVE AMERICA!If they were anarchists who died ramming their cars into ICE officers, she'd be canonized.President Trump addressed the hockey team, in what may be one of the most genuine celebrations ever[X] SB – Pres Trump calls hockey teamI'd like to give a partial of my SOTU [X] SB – NY Post Lydia Moynihan tired of late night hacksThe economy is doing quite well, despite Leftist claims otherwise. Iran's been warned. So the war on terror continues and we are winningA Palestinian-American took her Black friends to the West Bank to volunteer. Palestinians called them “monkeys” and “slaves” during the trip. When they complained, she defended it, saying that they should just accept the abuse.[X] SB – Lesbian couple miserable in CanadaCan't work. Surviving off savings.Shut out of the healthcare system. Understandable.You heard me speak about President Trump and calls of racism the other day. He has pretty much burned Democrats' race cards…See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Russ is still on his trip to Italy to see if he can replace the Pope or something, so here's a pre-recorded award show. It's definitely a concept we stick with for more than 15 minutes before getting derailed talking about French comic characters that no one gives a shit about.   Notes: The Hoggies, Toker's Fave, Shinobi Executing Eggman, Felons for Melon, Top French Thing That People Won't Shut the Fuck Up About, Toonforce Potion, Bathroom Boys, Super Ball Girls, Drink Flatner's Bevmania, Protein Sodas, Pina Colada Song Movie, Spacenoid Sydney Sweeney, Don't Mess with the Zohran, Lord Frederick, Southern Font, The Goo is Good?, Alan's Snack Smuggling Fantasy, Sexyman Fawful, Sega is Releasing the Files, Taako Adventurezone Situation, Squasc, My Beautiful Doug Twisted Fantasy, Tutter-coded, Uncles on Stumps

Whenever you say anything online opposing the way the US is preparing for war with Iran or strangling Cuba to death with siege warfare, you'll always get people whose family comes from the nation in question telling you to be silent and support the US war machine. Their family emigrated at some point because they didn't like the government, so now they spend their time on social media telling everyone to support US operations to topple that government. The correct response to such people is “Shut the fuck up.” Reading by Tim Foley.

Shut up!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jeanine Pirro gets shut out by a federal grand jury trying to indict six members of Congress for their video asking military members to disregard illegal orders.Judges in the Northern District appointed Donald Kinsella US attorney to replace John Sarcone, and Todd Blanche promptly fired him.Former Special Counsel Deputy in Jack Smith's office, JP Cooney, is running for Congress in Virginia.A federal judge has blocked Trump's effort to transfer 20 former death row inmates commuted by President Biden to the notorious ADX Supermax Prison.Plus listener questions…Do you have questions for the pod?Thank you, ShopifySign up for a $1/month trial period at http://shopify.com/unjust Follow AG Substack|MuellershewroteBlueSky|@muellershewroteAndrew McCabe isn't on social media, but you can buy his book The ThreatThe Threat: How the FBI Protects America in the Age of Terror and Trump Questions for the pod?https://formfacade.com/sm/PTk_BSogJ We would like to know more about our listeners. Please participate in this brief surveyListener Survey and CommentsThis Show is Available Ad-Free And Early For Patreon and Supercast Supporters at the Justice Enforcers level and above:https://dailybeans.supercast.techOrhttps://patreon.com/thedailybeansOr when you subscribe on Apple Podcastshttps://apple.co/3YNpW3P Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

LINK TO OUR LIVE SHOW! (or visit historythisweekpodcast.com) Feb 13, 1920. For over thirty years, Black baseball players have been locked out of the major leagues. So on this day in Kansas City, Rube Foster, a former pitcher and now a team owner, is trying to make his own league just for Black players. He has gathered owners of other Black baseball teams, who currently play each other in one-off matchups or face independent teams in random games around the country. But Foster wants them to get organized, and soon, the Negro National League would be born.  But up to this point, how did Black baseball survive after segregation became the unofficial policy of the major leagues? And how did Black players, owners, and managers join together to create something that no baseball fan could ignore? Special thanks to our guests, Phil S. Dixon, author and Negro Leagues researcher; and Bob Kendrick, President of the Negro Leagues Baseball Museum in Kansas City, MO. ** This episode originally aired Feb 7, 2022. Get in touch: historythisweekpodcast@history.com  Follow on Instagram: @historythisweekpodcast Follow on Facebook: ⁠HISTORY This Week Podcast⁠ To stay updated: http://historythisweekpodcast.com To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices