Podcasts about Planetary

Join us for an awe-inspiring conversation with astrobiologist and astronomer Caleb Scharf as he eloquently makes the case for "dispersal," the nearly inevitable advance of life and humanity across our solar neighborhood. From the book: "The idea of Dispersal is one where the sheer scale and scope of life’s future extension into the solar system profoundly changes things: not because of some new (and unlikely) cultural enlightenment from within but because of what the enormous expanse of space will do to dilute and change our species and all others.” Adam Frank says of the book, “If we can make it through the many crises of the next century, then the Solar System and the stars beyond await us. In The Giant Leap, Caleb Scharf demonstrates how becoming a true space-faring species is more than just humanity’s future.” Discover more at: https://www.planetary.org/planetary-radio/book-club-caleb-scharfSee omnystudio.com/listener for privacy information.

Humanity is going back to the Moon, and Europe is already playing a critical role in making it happen. This week, Planetary Radio brings you voices straight from the 18th European Space Conference in Brussels, Belgium, where more than 2,000 of the world’s top space leaders gathered to shape the future of European space exploration. We begin with conference co-organizer Tomas Dimitrov of Logos and Business Bridge Europe, who sets the stage for the conversations ahead. From there, we hear from European Commissioner for Defence and Space Andrius Kubilius, ESA Director General Josef Aschbacher, French Minister Delegate for European Affairs Benjamin Haddad, and Germany’s Federal Space Minister Dorothee Bär. We also take you inside the Moonlight Initiative panel, bringing you the full conversation as scientists and engineers from ESA, NASA, and industry lay out their vision for building GPS and communications infrastructure around the Moon, and wrestle with what it will really take to support a permanent human presence there. Then, Planetary Society Chief Scientist Bruce Betts joins us for What’s Up to tackle one of the most fascinating and unexpected challenges of lunar exploration: what time is it on the Moon? Discover more at: https://www.planetary.org/planetary-radio/2026-european-space-conference See omnystudio.com/listener for privacy information.

Dare To Dream with Debbi Dachinger LILY NOVA: UFO Contact Triggered My Starseed DNA Activation She Filmed Them. Then They Spoke Back. | LILY NOVA on UFO Contact & Starseed Activation An ET contactee reveals real footage, cosmic messages, and how to activate your dormant Starseed DNA now. Lily Nova joins Debbi Dachinger to share the moment a UFO appeared directly in front of her camera and changed everything. What began as photographing the night sky quickly turned into repeated encounters, telepathic communication, and a deep connection with what she believes are her Andromedan star family. In this conversation, Lily reveals how these encounters awakened dormant abilities, activated what she calls multidimensional DNA, and opened a pathway into cosmic communication. She explains the surprising process of starseed activation, what these energetic upgrades actually feel like, and why many people may now be experiencing similar shifts. The discussion also explores star families, ancient cosmic histories, and why humanity may be entering a period of major disclosure and consciousness expansion. Topics: – Introduction: Lily Nova & the UFO encounter that started it all – Photographing the stars when contact began – First close UFO encounter: a diamond-shaped craft appears – Multiple UFOs surrounding her during night photography – Consciousness shifts and psychic abilities begin – Realizing the beings may be her star family – Andromedan beings and galactic origins – Encounters with Lyra beings and inner Earth beings – Starseed DNA activation explained – Techniques to activate multidimensional DNA – What spiritual activations feel like – Star families and cosmic origins – Reptilians, hybrids, and humanity's cosmic ancestry – Trauma patterns seen in starseeds and lightworkers – Ancient AI wars and humanity's reaction to modern AI – Guided activation: clearing chakras and activating DNA – Messages about Earth's shifting timeline – Planetary grid changes and hidden technologies – Hidden civilizations, oceans, and ancient discoveries – Humanity's awakening and collective responsibility – How ET contact transformed Lily's life – Lily's work, workshops, and cosmic updates – Future visions and sacred site journeys – Closing message: remembering our cosmic connection Guest: Lily Nova Lily Nova is a UFO and space photographer, extraterrestrial contactee, cosmic channel, and bestselling author. Her documented UFO footage and experiences have been featured on Ancient Aliens, as well as international media and documentaries exploring extraterrestrial phenomena.

PRVIEW FOR LATER: Colleague Bob Zimmerman explains the discovery of two exoplanets colliding near a sun-like star. Astronomers observed star variability for 200 days, concluding that debris came from a massive planetary impact. (6)1956

Sponsor Links:The episode of Space Nuts is brought to you with the support of NordVPN. Haveing a good secure VPN connection is more important than ever...so get the one we use - NordVPN. For our special offer visit www.nordvpn.com/spacenutsAsteroid Updates, DART Mission Insights, and the Chris Case of 3I ATLASIn this exciting episode of Space Nuts, hosts Andrew Dunkley and Professor Fred Watson delve into the fascinating world of comets and asteroids. From the latest updates on asteroid 2024 YR4's potential impact with the Moon to groundbreaking findings from the DART mission, this episode is packed with cosmic discoveries and intriguing discussions.Episode Highlights:- Asteroid 2024 YR4 Update: The hosts discuss the recent observations made using the James Webb Space Telescope, which have ruled out the possibility of asteroid 2024 YR4 hitting the Moon in 2032. They explore the significance of these findings and the implications for future lunar missions.- DART Mission Success: Andrew and Fred revisit the DART mission, highlighting how the impact on the asteroid moon Dimorphos not only changed its orbit but also altered the orbit of the entire Didymos system around the Sun. This marks a historic achievement in planetary defense and asteroid science.- The Mystery of 3I ATLAS: The episode concludes with a discussion on comet 3I ATLAS, which has been found to have an unusual chemical composition, particularly a high ratio of methanol to hydrogen cyanide. The hosts ponder what this could mean for our understanding of other solar systems and the chemistry of celestial bodies.For more Space Nuts, including our continuously updating newsfeed and to listen to all our episodes, visit our website. Follow us on social media at SpaceNutsPod on Facebook, Instagram, and more. We love engaging with our community, so be sure to drop us a message or comment on your favorite platform.If you'd like to help support Space Nuts and join our growing family of insiders for commercial-free episodes and more, visit spacenutspodcast.com/about.Stay curious, keep looking up, and join us next time for more stellar insights and cosmic wonders. Until then, clear skies and happy stargazing.Become a supporter of this podcast: https://www.spreaker.com/podcast/space-nuts-astronomy-insights-cosmic-discoveries--2631155/support.

Gentry Lee spent nearly five decades at NASA's Jet Propulsion Laboratory, and in that time he helped shape some of the most ambitious missions in the history of space exploration. A new documentary, “Starman,” chronicles his career and the big question that runs through it: is there life beyond Earth? Lee worked on every NASA mission to land on Mars, helped Carl Sagan bring the Universe to living rooms around the world with “Cosmos,” and oversaw dozens of active missions as Chief Engineer for the Solar System Exploration Directorate at JPL. Few people have had a front-row seat to the Space Age quite like him. In this episode, host Sarah Al-Ahmed sits down with Gentry at Planetary Society headquarters just one day after his retirement from JPL. He reflects on the colleagues who shaped him, the missions that changed our understanding of the Solar System, and why the search for life beyond Earth remains the most profound endeavor humanity has ever undertaken. Discover more at: https://www.planetary.org/planetary-radio/2026-starmanSee omnystudio.com/listener for privacy information.

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

In this episode of Talking Trek Live, DJz and the crew welcome UltraVetika for a special content creator showcase, diving into his background in streaming, his APAC-based channel, and the Star Trek fandom that helped shape both his content and his connection to Star Trek Fleet Command. From community-driven gameplay and mid-ops progression talk to the wild charm of duck races, the first part of the show is a fun and personal look at one of the game's standout creators. In the second half, the panel breaks down the latest GM Conor roadmap update, including galactic anomalies, planetary bases, Starfleet Academy content, open armadas, dreadnoughts, alliance gameplay changes, quality-of-life improvements, and more. It's a lively mix of analysis, skepticism, optimism, and classic Talking Trek chaos as the crew explores what 2026 could mean for the future of STFC.   01:06 Opening intro, roadmap tease, and UltraVetika welcome 09:15 UltraVetika introduces himself, APAC life, and stream schedule 17:05 How content creators turn community knowledge into usable gameplay tips 24:05 Fresh Ops 70 life, staying put, and avoiding extra squishiness 32:10 Mid-ops nostalgia, MaCo experience, and why old content still hits 41:34 Speeding through ops, AI building buffs, and account catch-up talk 50:01 Field training, player learning curves, and creator influence in STFC 58:22 Raids, relationships, and why the Star Trek community keeps creators connected 01:03:17 Why UltraVetika's channel works so well as both learning and hangout content 01:06:35 Duck races, channel personality, and community engagement magic 01:12:24 Mid-show reset and pivot into Ultra's Star Trek fandom 01:13:01 Growing up on TNG in Australia and recording episodes on VHS 01:14:02 Finding Fleet Command through ads and never looking back 01:32:35 Roadmap segment begins with galactic anomalies 01:33:37 Planetary bases, customization, and social-space ambitions 01:35:15 Open armadas, alliance tournaments, and social gameplay focus 01:35:56 Dreadnoughts, creator programs, and bigger Trek holiday events 01:47:30 Roadmap reactions: cautious optimism on planetary bases 01:49:05 Maverick tasks, alliance teamwork, and Connor's team-oriented vision 01:58:28 Challenge track choices and playing the game on your own terms 02:03:03 Effort vs spending, legacy officers, and why game knowledge still matters 02:05:15 Galactic anomalies compared to hazards and deeper roadmap analysis 02:48:30 Final reflections, future arc hype, Ultra shoutout, and sign-off

When school's out and the cadets get dropped off at Betazed, Starfleet goes into lockdown and Caleb finally opens two years of messages from his mom. But after stealing a shuttle with the help of SAM, his tearful reunion on Ukek gets cut short by The Venari Ral. What are all Ben Affleck films about? Which Star Trek character is sadder in retrospect? Who does all the train stuff? It's the episode that's riding the BARF to the furfly arc. Support the production of Greatest Trek Get a thing at podshop.biz! Sign up for our mailing list! Greatest Trek is produced by Wynde Priddy Social media is managed by Rob Adler and Bill Tilley Music by Adam Ragusea Friends of DeSoto for: Labor | Democracy | Justice Discuss the show using the hashtag #GreatestTrek and find us on social media: YouTube | Instagram | Bluesky And check out these online communities run by FODs:  Reddit | USS Hood Discord | Facebook group | Wikia | FriendsOfDeSoto.social Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Is humanity moving through a major cosmic transition cycle? Tonight I'm joined by Mario Mijares for a deep dive into astrology, planetary alignments, and the powerful energies shaping our current timeline. We'll explore:

SpaceTime with Stuart Gary - Series 29 Episode 28In this episode of SpaceTime, we dive into the groundbreaking mapping of Uranus's upper atmosphere, the European Space Agency's innovative Planetary Defense Fly Eye Telescope, and NASA's critical findings on Boeing's Starliner spacecraft.Mapping Uranus's Upper AtmosphereA new study has successfully created a three-dimensional map of Uranus's upper atmosphere, revealing how the ice giant's unusual magnetic field influences its auroral activity. This detailed mapping, reported in Geophysical Research Letters, shows emissions from molecules located up to 5,000 kilometers above the cloud tops, confirming a cooling trend over the past 30 years. The research highlights the complex dynamics of Uranus's magnetosphere, which is tilted and offset, leading to unique auroral patterns unlike any other planet in our solar system.ESA's Fly Eye Telescope for Planetary DefenseThe European Space Agency is developing the Fly Eye Telescope, designed to detect Near Earth Objects (NEOs) that could pose a threat to Earth. Inspired by the compound eye of insects, this innovative telescope uses a unique design to scan vast areas of the sky efficiently, identifying potential impact risks. With plans for a network of these telescopes, ESA aims to enhance our capability to monitor and mitigate the dangers posed by asteroids and comets.Nasa's Scathing Robert on Boeing's StarlinerNASA has released a critical report detailing the failures of Boeing's CST-100 Starliner spacecraft, highlighting engineering vulnerabilities and internal mistakes that jeopardized crew safety. The investigation found Starliner less reliable for crew survival compared to other manned spacecraft, leading to a recommendation that no further crewed flights occur until all technical issues are resolved. The report underscores the need for stringent oversight in space missions to ensure astronaut safety.www.spacetimewithstuartgary.com✍️ Episode ReferencesGeophysical Research LettersSupport our podcast: Become a supporter.

NASA has announced a major restructuring of the Artemis program, reshaping the roadmap for returning humans to the Moon. At a February 27 press conference, agency leadership addressed the rollback of Artemis II following post–wet–dress–rehearsal testing and unveiled significant changes to upcoming missions, including shifting Artemis III from a planned lunar landing to a low-Earth-orbit rendezvous and integrated systems test. In this episode, you’ll hear remarks from NASA Administrator Jared Isaacman and Lori Glaze, Moon to Mars program manager and acting associate administrator for NASA’s Exploration Systems Development Mission Directorate. They explain what happened with Artemis II and why NASA is changing course. Then, host Sarah Al-Ahmed is joined by Jack Kiraly, director of government relations at The Planetary Society, and Ari Koeppel, AAAS science and technology policy fellow, to unpack the political and strategic forces behind this shift and what it means for the future of lunar exploration. In What’s Up, Bruce Betts, our chief scientist, looks back at Apollo 9, the Earth-orbiting mission that proved the Lunar Module could operate independently before NASA attempted a lunar landing. Discover more at: https://www.planetary.org/planetary-radio/2026-artemis-updateSee omnystudio.com/listener for privacy information.

Dear Friends, You wont want to miss this episode, especially if you're tracking what's happening in the Middle East. In this episode of Gateways to Awakening, Yasmeen Turayhi sits down with Laura Eisenhower, global alchemist and founder of CosmicGaia.org, and great-granddaughter of former President Dwight D. Eisenhower, for a deeply expansive conversation on astrology, collective timelines, and the energetic dynamics shaping our world.Laura shares why she sees linear time as increasingly fluid and why astrology is best understood as a map of cycles and probabilities rather than fixed prediction. Together, we explore the South Node in Virgo / North Node in Pisces axis and what it is teaching humanity about mind–body–spirit integration and learning to trust the body's intelligence. We also dive into the powerful outer-planet alignments, including Saturn and Neptune, and what they may be dissolving within old authority structures. A key part of our conversation explores Laura's research into the Iran region as a significant energetic gateway within the planetary stargate framework, and how she believes trauma loops and reversal patterns in key global locations can ripple through the collective field. “We don't want to lose ourselves to the fear and the outcome — we want to hold what we want to see.” - Laura Eisenhower In this episode, we explore:- The dissolving illusion of linear time and “divine timing”- South Node Virgo → North Node Pisces integration- Saturn–Neptune dynamics and collapsing old structures- Nervous system regulation as a spiritual technology- Discernment in the age of information overload- Iran and the 10th Gate in Laura's planetary stargate framework- Reversal timelines and collective trauma loops- Planetary grids and global energetic hotspots- Working with water, prayer, and emotional coherence- Choosing love, family, and community in volatile timesIf you have been feeling the intensity of the current moment, this conversation offers both cosmic context and grounded tools to help you stay centered, sovereign, and connected to your inner knowing.Guest: Laura EisenhowerWebsite: CosmicGaia.orgIf you enjoyed this episode we would love to hear from you! Tune in to Gateways to Awakening for more conversations with leading thinkers, creators, and spiritual pioneers shaping the future of consciousness. For more from me: follow my writing on Substack (substack.com/@therealyasmeent), find me on Instagram @TheRealYasmeenT, or visit InnerKnowingSchool.com.This show is brought to youby VastuFengShuiHarmony.com

In this podcast, our guest is Rachel Donald, who investigates why the world is in crisis—and what to do about it. Her independent journalism work reaches 30,000 subscribers in 184 countries. She leads Planet: Critical and Planet:Coordinate, two media projects offering podcasts, newsletters and films documenting stories from the frontline of the crisis. Rachel speaks internationally and her work has been featured in The Guardian, Al Jazeera, Mongabay, The Intercept, Byline Times and the New Republic.Links to Rachel's work: https://www.planetcritical.comhttps://www.planetcoordinate.com

Iran War Triggers Planetary Crisis! WATCH LIVE: Strait of Hormuz Closure Rocks Global Markets, China Panics As Conflict Brings Major Powers Into War! Plus, US Special Ops Are On-The-Ground In Iran As Trump Floats Ground Invasion

This interview was recorded for GOTO Unscripted.https://gotopia.techCheck out more here:https://gotopia.tech/articles/421Félix GV - Current Interests: Multi-Planetary Databases, Data Sovereignty & LifeloggingOlimpiu Pop - Technologist & Tech JournalistRESOURCESFélixhttps://bsky.app/profile/felixgv.ninjahttps://github.com/FelixGVhttps://www.linkedin.com/in/felixgvOlimpiuhttps://x.com/olimpiupophttps://github.com/zrollhttps://www.linkedin.com/in/olimpiupopLinkshttps://venicedb.orghttps://github.com/linkedin/venicehttps://rocksdb.orghttps://duckdb.orgDESCRIPTIONFélix GV, a former engineer at LinkedIn and architect of the Venice database system, discusses the complexity of building planetary-scale data systems. He explains Venice's unbundled architecture where each component—from Kafka-based pub/sub to RocksDB-powered servers—operates as an independent distributed system. Félix details their rigorous chaos engineering practices, including regular load tests that push data centers beyond normal capacity to ensure reliability.The discussion covers fundamental distributed systems concepts like the CAP theorem and the trade-offs between consistency and availability in multi-region deployments. He also explains why Venice, as a derived data system, deliberately sacrifices strong consistency for high throughput and availability, and concludes by discussing their experimental integration of DuckDB for SQL-based analytics and data exploration capabilities.RECOMMENDED BOOKSKasun Indrasiri & Danesh Kuruppu • gRPC: Up and Running • https://amzn.to/3sBGBJJTomer Shiran, Jason Hughes & Alex Merced • Apache Iceberg: The Definitive Guide • https://amzn.to/488Z30kWilliam Smith • Arrow Flight Protocols and Practices • https://amzn.to/4o2Q2fdAdi Polak • Scaling Machine Learning with Spark • https://amzn.to/3N9vx1HMark Needham, Michael Hunger & Michael Simons • DuckDB in Action • https://amzn.to/45QwSliSimon Aubury & Ned Letcher • Getting Started with DuckDB • https://amzn.to/3VPk4qBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

we finna yank back

Ep 229 One World in a New World with Remzi BajramiOur latest Apocalyptic Chats episode brings together visionary thinkers for conversations that matter, sparking intellectual exploration. We dive into philosophical inquiries, offering profound insights and diverse perspectives. Join us to ignite your curiosity and wonder about the world.

Morse code transcription: vvv vvv Chloe Haymans mum hugs her drug driver killer in jail Netflix drops Warner Bros bid, clearing way for Paramount takeover Dyson settles forced labour suit in landmark UK case Planetary parade 2026 Six planets visible in night sky Chris Mason Green Party win will prompt soul searching within Labour and questions for Starmer Jeffrey Epstein tried to buy palace in Morocco days before arrest Soham murderer Ian Huntley remains in hospital following prison attack Parliament Square Winston Churchill statue defaced with graffiti Gregg Wallace and BBC settle damages claim Hannah Spencer Plumber becomes Green Partys new MP

Morse code transcription: vvv vvv Netflix drops Warner Bros bid, clearing way for Paramount takeover Parliament Square Winston Churchill statue defaced with graffiti Dyson settles forced labour suit in landmark UK case Jeffrey Epstein tried to buy palace in Morocco days before arrest Chloe Haymans mum hugs her drug driver killer in jail Planetary parade 2026 Six planets visible in night sky Chris Mason Green Party win will prompt soul searching within Labour and questions for Starmer Gregg Wallace and BBC settle damages claim Soham murderer Ian Huntley remains in hospital following prison attack Hannah Spencer Plumber becomes Green Partys new MP

Morse code transcription: vvv vvv Netflix drops Warner Bros bid, clearing way for Paramount takeover Hannah Spencer Plumber becomes Green Partys new MP Gregg Wallace and BBC settle damages claim Dyson settles forced labour suit in landmark UK case Planetary parade 2026 Six planets visible in night sky Jeffrey Epstein tried to buy palace in Morocco days before arrest Soham murderer Ian Huntley remains in hospital following prison attack Parliament Square Winston Churchill statue defaced with graffiti Chloe Haymans mum hugs her drug driver killer in jail Chris Mason Green Party win will prompt soul searching within Labour and questions for Starmer

Morse code transcription: vvv vvv Soham murderer Ian Huntley remains in hospital following prison attack Planetary parade 2026 Six planets visible in night sky Dyson settles forced labour suit in landmark UK case Hannah Spencer Plumber becomes Green Partys new MP Netflix drops Warner Bros bid, clearing way for Paramount takeover Parliament Square Winston Churchill statue defaced with graffiti Gregg Wallace and BBC settle damages claim Chloe Haymans mum hugs her drug driver killer in jail Chris Mason Green Party win will prompt soul searching within Labour and questions for Starmer Jeffrey Epstein tried to buy palace in Morocco days before arrest

Tiny Jupiter, Unusual Comet Behavior, and Gravitational LensingIn this exciting episode of Space Nuts, hosts Andrew Dunkley and Professor Fred Watson delve into some intriguing astronomical discoveries. They discuss the surprising news about Jupiter's size, the strange rotation of Comet 41P, and the fascinating concept of utilizing solar gravitational lensing for deep space exploration.Episode Highlights:- Jupiter's Revised Size: The duo explores new measurements from NASA's Juno mission that indicate Jupiter is slightly smaller than previously thought. They discuss the implications of these findings on our understanding of the gas giant's internal structure and atmospheric dynamics.- The Mystery of Comet 41P: Andrew and Fred reveal the unusual behavior of Comet 41P, which has experienced a significant slowdown in its rotation, potentially reversing its spin direction. They analyze the possible causes of this phenomenon and what it could mean for the comet's future.- Solar Gravitational Lensing: The hosts dive into the concept of using the Sun's gravitational field as a lens to observe distant exoplanets. They discuss the challenges of reaching the solar gravitational lens focal point and the technologies that might one day make such missions feasible.For more Space Nuts, including our continuously updating newsfeed and to listen to all our episodes, visit our website. Follow us on social media at SpaceNutsPod on Facebook, Instagram, and more. We love engaging with our community, so be sure to drop us a message or comment on your favorite platform.If you'd like to help support Space Nuts and join our growing family of insiders for commercial-free episodes and more, visit spacenutspodcast.com/about.Stay curious, keep looking up, and join us next time for more stellar insights and cosmic wonders. Until then, clear skies and happy stargazing.Become a supporter of this podcast: https://www.spreaker.com/podcast/space-nuts-astronomy-insights-cosmic-discoveries--2631155/support.

Sponsor Link:This episode of SpaceTime is brought to you by Squarespace. Create your own exceptional website with ease at squarespace.com/spacetime.SpaceTime with Stuart Gary Gary - Series 29 Episode 25In this episode of SpaceTime, we explore the intriguing mysteries of Mars' gullies, uncover a unique inside-out planetary system, and witness the inaugural launch of Europe's most powerful rocket.Mysterious Martian Gullies ExplainedScientists have made significant strides in understanding the enigmatic gullies on Mars, previously thought to be shaped by unknown forces. A new study published in Geophysical Research Letters reveals that blocks of frozen carbon dioxide are the culprits behind these formations. When the Martian winter sets in, CO2 ice accumulates and, upon warming, sublimates, creating gas pressure that carves deep gullies in the Martian surface. This groundbreaking phenomenon, likened to the sandworms of Dune, showcases a unique geological process not observed on Earth.Inside-Out Planetary System DiscoveryAstronomers have identified a remarkable new planetary system, catalogued as LHS 1903, that defies conventional models of planetary formation. Unlike our solar system, which features rocky planets close to the star and gas giants further out, LHS 1903 has a small rocky planet orbiting outside of two gas giants. This discovery, detailed in Science, suggests that this rocky world may have formed in a gas-depleted environment, challenging existing theories about how planets evolve and raising questions about the nature of planetary systems.Europe's Powerful Rocket LaunchThe European Space Agency has successfully launched the Ariane 64, its most powerful rocket to date, from the Kourou Spaceport in French Guiana. This inaugural mission, VA267, carried 32 satellites into orbit for Amazon's LEO network, marking a significant milestone as the largest number of satellites ever launched by an Ariane rocket. With plans for an average of 10 launches per year, the Ariane 64 is set to play a crucial role in the future of satellite deployment.www.spacetimewithstuartgary.com✍️ Episode ReferencesGeophysical Research Letters, ScienceSupport our podcast: Become a supporter.

a new life-sciences flex lands in King's Cross as Genomics opens up shop in the Knowledge Quarter and shows off agentic AI for drug discovery. The government claims it's finally speeding up cyber fixes across public services — about time — and O2 starts selling a satellite bolt-on powered by Starlink for those “why do I pay for this contract?” dead zones. After that, NASA turns the Solar System into an audio experience you can actually listen to, and in gaming, it's launch day for Resident Evil Requiem — so dodge spoilers like it's Oxford Street at rush hour. More at standard.co.uk, and follow Tech and Science Daily from The Standard for your weekday briefing. Hosted on Acast. See acast.com/privacy for more information.

Could a single ancient impact have briefly transformed one of the Solar System’s darkest moons into a cryovolcanic world? When Voyager 2 flew past Uranus in 1986, it captured the only close-up images we have of Umbriel, a heavily cratered, charcoal-dark satellite long considered geologically inactive. But one feature stands out: a bright ring inside the 131-kilometer-wide Wunda crater. In this episode, Sarah Al-Ahmed speaks with Adeene Denton, NASA postdoctoral program fellow at the Southwest Research Institute, about her team’s new study published in the Journal of Geophysical Research: Planets. Using shock physics simulations, Denton and her colleagues reconstruct the impact that formed Wunda crater to determine what Umbriel’s interior must have been like at the time. Their modeling explores whether impact-induced cryovolcanism can explain the bright deposits observed on the crater floor. Then, in What’s Up, Bruce Betts, chief scientist of The Planetary Society, joins Sarah to break down one of the key mechanisms that keeps icy moons from freezing solid, tidal heating driven by orbital resonance. Discover more at: https://www.planetary.org/planetary-radio/2026-cryovolcanism-on-umbrielSee omnystudio.com/listener for privacy information.

2.22.26 – Day 10/13 of the White Worldbridger Wavespell – Galactic Moon 16

They informed and entertained together throughout the first 20 years of Planetary Radio. Listen in as the Society’s chief scientist and book club edition host Mat Kaplan share the mic once again for a delightful conversation about Dr. Betts’ two new space books for young people. “Are We Alone?” introduces the search for life across the Universe, while “The Size of Space” collects many of Bruce’s brilliant and hilarious ways to cut our Solar System down to human size. Discover more at: https://www.planetary.org/planetary-radio/book-club-bruce-bettsSee omnystudio.com/listener for privacy information.

Sponsor Link:This episode of Space Nuts is brought to you by Incogni. Reduce the volume of spam calls and emails. They can't spam you if they can't find you. To find out more and to take up our 60% off offer, visit incogni.com/spacenuts and use the coupon code SPACENUTS at checkout.Lava Tubes on Venus, Elon Musk's New Target, and China's Lunar AmbitionsIn this intriguing episode of Space Nuts, hosts Andrew Dunkley and Professor Fred Watson explore a variety of captivating topics that span our solar system. From the surprising discovery of lava tubes on Venus to Elon Musk's shifting focus from Mars to the Moon, this episode is packed with astronomical insights and updates on space exploration.Episode Highlights:- Lava Tubes on Venus: A new study suggests the existence of massive lava tubes on Venus, with evidence pointing to structures that could reach up to a kilometer wide. Andrew and Fred discuss the implications of this discovery and how it was derived from radar data collected by the Magellan spacecraft.- Elon Musk's Change of Plans: The hosts delve into Elon Musk's evolving vision for space travel, as he shifts his focus from colonizing Mars to prioritizing lunar missions. They discuss the logistical challenges of Mars travel and the advantages of a Moon base.- China's Reusable Booster Test: The China Manned Space Agency has successfully tested a reusable booster and a new spacecraft designed for lunar missions. Andrew and Fred analyze the significance of this achievement in the context of the current space race.- Titan's Mysterious Past: The episode concludes with a look at Saturn's moon Titan, which may have formed from a collision between two moons. The hosts explore the implications of this theory and what it means for future exploration of Titan.For more Space Nuts, including our continuously updating newsfeed and to listen to all our episodes, visit our website. Follow us on social media at SpaceNutsPod on Facebook, Instagram, and more. We love engaging with our community, so be sure to drop us a message or comment on your favorite platform.If you'd like to help support Space Nuts and join our growing family of insiders for commercial-free episodes and more, visit spacenutspodcast.com/about.Stay curious, keep looking up, and join us next time for more stellar insights and cosmic wonders. Until then, clear skies and happy stargazing.Become a supporter of this podcast: https://www.spreaker.com/podcast/space-nuts-astronomy-insights-cosmic-discoveries--2631155/support.

This week on Planetary Radio, we mark a major leadership transition at The Planetary Society. Host Sarah Al-Ahmed sits down with Bill Nye, outgoing chief executive officer and newly appointed chief ambassador of The Planetary Society, and Jennifer Vaughn, incoming chief executive officer and former chief operating officer, for a candid conversation about this long-planned transition. Together, Bill and Jenn reflect on how the organization, under their shared leadership, grew into the world’s largest and most effective nonprofit dedicated to advancing the scientific exploration of space. Then, Bruce Betts, chief scientist of The Planetary Society, joins Sarah for What’s Up. They discuss an upcoming planetary alignment on and around February 28, 2026. Discover more at: https://www.planetary.org/planetary-radio/2026-jennifer-vaughn-ceoSee omnystudio.com/listener for privacy information.

Boris begins a short series on how a relatively obscure New Age religion from the 1960s lay the foundations for the modern right wing "Orthobro" phenomenon in Orthodox Christianity. To do this, we take a journey back to 1960s San Francisco's world of mystics, American Sufis and Christian Yogis. Music Credits: Christian Yoga Church - Untitled 6 Christian Yoga Church - Turn On (Music for the Hip at Heart) The Sufi Choir - Turning Allen Ginsberg / Reverend Adjari & Buddhist Chorus - Pacific High Studio Mantra's (Om Ah Hum Vajra Guru Padma Siddhi Hum) Dead Kennedys - California Über Alles --- Subscribe to https://patreon.org/tenepod https://bsky.app/profile/tenepod.bsky.social https://x.com/tenepod

Scott Walter Sits Down with Benjamin Schwegler from LTK Lineartechnik Korb to Talk About: Can Roller Screws Be Made in 20 Seconds and How This Could Make Them Viable for Humanoids? https://ltk-linearmotion.com/about-us/

Professor Dante Lauretta discusses his book The Asteroid Hunter and his early career at the University of Arizona's Lunar and Planetary Laboratory, recalling how mentor Mike Drake and Lockheed Martin recruited him in 2004 for a daring asteroid sample return mission despite early rejections.

NATO allies pledge $35 billion in new Ukraine aid, Major political announcements result in a new government in Thailand, The U.S. withdraws from Syria's al-Tanf base, An Israeli reservist is charged for betting on military operations, A U.K. high court rules a Palestine Action terror ban as unlawful, A judge orders the return of 137 deported Venezuelans to the U.S., A judge blocks the Trump administration's $600M health grant cuts to 4 states, A ruling blocks the Pentagon from demoting Senator Mark Kelly, A study suggests that U.S. consumers are bearing the brunt of tariff costs, and astronomers detect an "inside out" planetary system. Sources: Verity.News

Sponsor Link:This episode of SpaceTime is brought to with the help of Squarespace. When it's time to get online, you need Suarespace to make you look professional. To get the Spacetime special offer simply visit www.squarespace.com/spacetime or use the code SPACETIME at checkout.SpaceTime with Stuart Gary Gary - Series 29 Episode 19In this episode of SpaceTime, we explore astonishing discoveries in astrophysics, planetary science, and aerospace engineering.Astronomers Observe Possible Black Hole ExplosionAstronomers are investigating what could be the first ever observation of a black hole explosion. A recent study published in Physical Review Letters suggests that the mysterious high-energy neutrino detected in 2023 may have originated from a quasi-extremal primordial black hole. This type of black hole, theorized to exist since the Big Bang, could explain the otherwise unexplainable energy levels of the neutrino and potentially unlock the secrets of dark matter and the fundamental nature of the universe.Mars' Dust Storms and Water LossNew research published in Communications Earth and Environment reveals that localized dust storms on Mars may play a significant role in the planet's water loss. While Mars is currently a dry desert, evidence from its surface indicates a wetter past. The study shows that intense dust storms can transport water vapor to higher altitudes, facilitating its escape into space, thus contributing to the long-standing mystery of Martian water depletion.Plasma Daniel for Hypersonic TestingA groundbreaking facility known as the plasma tunnel is now being used by scientists and engineers to simulate the extreme conditions spacecraft face during atmospheric reentry. The plasma tunnel generates high-speed plasma flows that mimic the intense heat and pressure experienced during reentry, providing critical data for developing safer and more efficient spacecraft. This innovative technology could revolutionize our understanding of hypersonic flight and enhance mission safety for future space exploration.www.spacetimewithstuartgary.com✍️ Episode ReferencesPhysical Review Letters, Communications Earth and EnvironmentBecome a supporter of this podcast: https://www.spreaker.com/podcast/spacetime-with-stuart-gary--2458531/support.(00:00:00) Astronomers investigate a potential black hole explosion(00:07:15) New study reveals how dust storms on Mars contribute to water loss(00:15:30) The plasma tunnel: recreating atmospheric reentry conditions(00:22:45) Science report: Genetic factors influencing life expectancy(00:30:00) Bigfoot sightings and cultural phenomena in America

Where did Earth’s water come from? In this episode of Planetary Radio, we explore how scientists are answering that question by studying a remarkably well-preserved record of the early Solar System: lunar samples brought back by the Apollo missions. Host Sarah Al-Ahmed is joined by Tony Gargano, postdoctoral fellow at the Lunar and Planetary Institute with the University Space Research Association and a research affiliate at NASA’s Johnson Space Center. Gargano studies lunar rocks and regolith to understand how planets form, evolve, and acquire key ingredients like water over time. By analyzing subtle chemical fingerprints preserved in Apollo-era lunar regolith, his work helps constrain how much water meteorites could have brought to Earth and what that means for our planet’s path to habitability. The episode also features a short bonus segment with actor George Takei, recorded at the Academy Museum of Motion Pictures during a screening of “Star Trek IV: The Voyage Home.” Takei reflects on the enduring legacy of “Star Trek,” its influence on generations of scientists and explorers, and why he is excited about humanity’s return to the Moon in the Artemis era. He connects science fiction’s hopeful vision of the future with the real science helping us understand our origins today. Discover more at: https://www.planetary.org/planetary-radio/2026-earth-water-apollo-moon-dustSee omnystudio.com/listener for privacy information.

2.9.26 – Day 10/13 of the Red Skywalker Wavespell – Galactic Moon 3

Lucy Baldwin, a teacher of planetary magic and shadow alchemy discusses her unique approach to magic as a way of communicating with the unconscious mind using symbols and rituals. She explains the seven primary planetary archetypes—Sun, Moon, Mercury, Venus, Mars, Jupiter, and Saturn—and how individuals can work with these energies to improve various aspects of their lives. Lucy delves into her own journey from studying cognitive science and engaging with psychedelic therapies to discovering magic and its practical applications. She emphasizes the importance of facing fears, leaning into discomfort, and using rituals not just for manifestation but as a pathway to self-mastery and conscious evolution. Where to find Lucy: emolinacoaching.comhttps://www.youtube.com/@lucy_baldwinSend a textSupport the showLove the show? Your support helps keep these conversations going. You can treat me to a coffee here:https://buymeacoffee.com/shiftingdimensions Subscribe to our YouTube channel: https://www.youtube.com/channel/UCr0p1zDPaPLmnmI3AIWhDFQFollow us: TikTok - @shiftingdimensions444 Instagram - @shiftingdimensions_podDisclaimer: The views, thoughts, and opinions expressed are the guest's own and do not represent the views, thoughts, and opinions of Shifting Dimensions. The material and information presented here is for general information and entertainment purposes only.

Sponsor Link:This episode of Space Nuts brought to you by Incogni.Reduce the volume of spam calls and emails. They can't spam you if the can't find you. To find out more and to take up our 60% off offer, visit incogni.com/spacenuts and use the cou[on code SPACENUTS at checkout.  Theia's Fate, Galactic Mergers, and the Mysteries of HydrogenIn this captivating Q&A edition of Space Nuts, hosts Andrew Dunkley and Professor Fred Watson tackle a range of intriguing questions from listeners, diving deep into cosmic mysteries and scientific theories. From the fate of the former planet Theia to the dynamics of galaxy mergers and the origins of hydrogen, this episode is packed with insights that will expand your understanding of the universe.Episode Highlights:- The Fate of Theia: Rusty from Donnybrook poses a thought-provoking question about Theia, the planet that collided with Earth. Andrew and Fred discuss the most accepted theories regarding Theia's remnants and how they may have been absorbed into Earth's mantle, leaving behind intriguing geological evidence.- Galaxy Mergers Explained: New listener Melina asks about the merging of spiral galaxies in an expanding universe. The hosts explain how gravity can overcome the universe's expansion on galactic scales, leading to fascinating interactions and eventual mergers between galaxies.- Olympus Mons and Mars' Atmosphere: Kevin wonders if the colossal eruptions of Olympus Mons could have contributed to Mars' atmospheric loss. Andrew and Fred explore the volcanic activity on Mars and clarify that while Olympus Mons is impressive, the planet's lack of a magnetic field is a more significant factor in its atmospheric decline.- Hydrogen's Cosmic Origins: Five-year-old Yuki asks why hydrogen is the only element not formed in stars. The hosts explain that hydrogen was created shortly after the Big Bang, making it the most abundant element in the universe, while other elements formed later through stellar processes.For more Space Nuts, including our continuously updating newsfeed and to listen to all our episodes, visit our website. Follow us on social media at SpaceNutsPod on Facebook, Instagram, and more. We love engaging with our community, so be sure to drop us a message or comment on your favorite platform.If you'd like to help support Space Nuts and join our growing family of insiders for commercial-free episodes and more, visit spacenutspodcast.com/about.Stay curious, keep looking up, and join us next time for more stellar insights and cosmic wonders. Until then, clear skies and happy stargazing.Become a supporter of this podcast: https://www.spreaker.com/podcast/space-nuts-astronomy-insights-cosmic-discoveries--2631155/support.

SpaceTime with Stuart Gary Gary - Series 29 Episode 16In this episode of SpaceTime, we dive into groundbreaking revelations about Europa's ice shell, explore new evidence for the existence of a potential Planet Nine, and discuss a significant advancement in quantum physics that challenges the Heisenberg Uncertainty Principle.Europa's Ice Shell Thickness RevealedData from NASA's Juno mission has provided the first insights into the thickness of Europa's icy crust, estimating it to be around 29 kilometers. This measurement comes from Juno's 2022 flyby, where the spacecraft utilized its microwave radiometer to analyze the moon's surface temperature and characteristics. The findings suggest that beneath this thick ice lies a global ocean of liquid water, potentially harboring the ingredients necessary for life. Understanding the ice shell's structure is crucial for future missions, including NASA's Europa Clipper, set to arrive in 2030.The Case for Planet NineA new study published in Nature Astronomy presents fresh simulations suggesting that wide-orbit planets, like the hypothesized Planet Nine, could be a natural outcome of chaotic early planetary systems. Researchers found that during turbulent phases of stellar formation, planets can be flung into distant orbits rather than being ejected entirely. This work offers a 40% chance that a Planet Nine-like object exists, providing a promising avenue for future exploration as telescopes become more capable of surveying the distant solar system.Advancements in Quantum PhysicsIn a remarkable breakthrough, physicists have demonstrated a method to sidestep the Heisenberg Uncertainty Principle, allowing for simultaneous precise measurements of a particle's position and momentum. This innovative approach, detailed in Science Advances, could pave the way for ultra-precise sensor technologies across various fields, including navigation and astronomy. The study redefines the boundaries of quantum measurement, offering new possibilities for scientific exploration.www.spacetimewithstuartgary.com✍️ Episode ReferencesNature AstronomyScience AdvancesBecome a supporter of this podcast: https://www.spreaker.com/podcast/spacetime-your-guide-to-space-astronomy--2458531/support.

What does a NASA authorization bill actually do, and why does it matter? In this episode of Space Policy Edition, we dig into one of the most misunderstood but powerful tools Congress uses to shape the future of U.S. space exploration. Host Casey Dreier, chief of space policy at The Planetary Society, is joined by Jack Kiraly, the Society’s director of government relations, for a deep dive into how NASA authorization bills work, how they differ from appropriations, and why they can have decades-long consequences for science missions, human spaceflight, and planetary defense. The discussion also reflects on a major recent win for space advocates: Congress’s bipartisan decision to protect NASA science funding. Discover more at: https://www.planetary.org/planetary-radio/spe-what-is-a-nasa-authorization-billSee omnystudio.com/listener for privacy information.

There's always been a fuzzy line between asteroids and comets, and new observations of asteroids in the vicinity of Jupiter provide a hint to the origin of the mysterious active asteroids that look like asteroids but act like comets. Elsewhere in the galaxy, the famous ring nebula gets a new spectral image that shows the presence of band of iron. Could it be the remnants of a planet like Earth or Mercury that was vaporized when the nebular formed? Tune in for our take on this, space news, trivia and much more.

What if Europa’s seafloor isn’t alive with activity after all? This week on Planetary Radio, host and producer Sarah Al-Ahmed explores new research that reframes how scientists think about one of the Solar System’s most intriguing ocean worlds. Sarah is joined by Paul Byrne, associate professor of earth, environmental, and planetary sciences at Washington University in St. Louis. Paul is the lead author of a new study suggesting that the seafloor beneath Europa’s global ocean may be geologically quiet today, potentially lacking the hydrothermal activity often associated with habitable environments on Earth. Together, they discuss how scientists investigate places we can’t yet observe directly and why Europa remains a compelling world to explore regardless of what we find. Then, Bruce Betts, chief scientist of The Planetary Society, joins us for What’s Up to explain why Saturn’s moon Enceladus shows strong evidence for active hydrothermal vents beneath its icy crust, offering a fascinating contrast between two ocean worlds. Discover more at: https://www.planetary.org/planetary-radio/2026-europas-quiet-seafloorSee omnystudio.com/listener for privacy information.

High Timeline Living Website:https://www.hightimelineliving.com/Fun Astrology YouTube Channel:https://www.youtube.com/@funastrologypodcastBuy Thomas a Coffee!https://www.buymeacoffee.com/funastrologyThank you!Join the Fun Astrology Lucky Stars Club Here!Old Soul / New Soul Podcast - Back Episodes:https://www.buzzsprout.com/2190199https://www.youtube.com/@OldSoulNewSoulAstrologyPodcast

Astronomer Paul Kalas explains planetary formation in the Fomalhaut system twenty-five light years distant, revealing how observations of this nearby star illuminate the processes that create worlds around young suns.SATURN AND SYSTEM

Humans are preparing to return to the Moon. On this episode of Planetary Radio, host Sarah Al-Ahmed is joined by Kelsey Young and Noah Petro, two of the scientists helping turn humanity’s return to the Moon into reality. Kelsey Young is a research space scientist at NASA Goddard Space Flight Center and serves as the Artemis Science Flight Operations Lead. She also leads the Lunar Observations and Imaging Campaign for Artemis II, defining what astronauts will observe, document, and study as they fly around the Moon for the first time in more than 50 years. Noah Petro is the lab chief of the Planetary Geology, Geophysics, and Geochemistry Laboratory at NASA Goddard and the Project Scientist for the Lunar Reconnaissance Orbiter. He also serves as the Project Scientist for Artemis III, helping shape the science behind humanity’s first lunar footsteps of the 21st century. Together, they discuss how Artemis II and Artemis III build on decades of lunar science, how astronauts are being trained to observe the Moon like geologists, and why the Moon’s south pole is such a compelling destination for future exploration. Then, we wrap up with What’s Up, where Bruce Betts, chief scientist of The Planetary Society, shares the story of the first and so far only professional geologist to walk on the Moon. Discover more at: https://www.planetary.org/planetary-radio/2026-artemis-ii-and-iiiSee omnystudio.com/listener for privacy information.

Send us a textThis is your cosmic energy report for January 26 through February 2026.

After months of uncertainty, NASA science has been spared from the largest proposed budget cuts in the agency’s history. In this episode of Planetary Radio, host Sarah Al-Ahmed unpacks how Congress moved to restore near-full funding for NASA science and what that victory really means for missions, researchers, and the future of space exploration. Sarah is joined by Jack Kiraly, director of government relations at The Planetary Society, and Ari Koeppel, an AAAS science & technology policy fellow at The Planetary Society, to break down what passed in the FY 2026 budget, why the details matter, and how bipartisan support helped protect science programs across planetary science, astrophysics, Earth science, and heliophysics. The conversation also takes an honest look at the costs of the past year, from lost jobs and disrupted missions to shaken morale, and why rebuilding NASA’s scientific workforce will take time, even after this hard-won win. We also look ahead to what comes next as the FY 2027 budget process begins, and why sustained public engagement remains essential to protecting space science. Plus, Bruce Betts, chief scientist of The Planetary Society, joins us for What’s Up, where we discuss the recent early return of astronauts from the International Space Station, what’s known about the situation, and what it means for station operations. Discover more at: https://www.planetary.org/planetary-radio/2026-nasa-science-savedSee omnystudio.com/listener for privacy information.