Speaker 0: Welcome to the Geek News Central podcast, episode
Speaker 0: eighteen fifty two. This is your host, Ray
Speaker 0: Cochran, speaking tonight. It has been a little
Speaker 0: minute. So sorry for the delay on the
Speaker 0: shows, but welcome. If it's your first time
Speaker 0: here, welcome to the show. And for all
Speaker 0: you returnees, welcome back. Got a great show
Speaker 0: lined up for you folks this evening. This
Speaker 0: afternoon for me. I don't know why I
Speaker 0: said evening. Just, But let's, kick it off
Speaker 0: with a really awesome sweet first article. NASA's
Speaker 0: ultra quiet supersonic flying swordfish makes history with
Speaker 0: the first test flight. NASA and Lockheed Martin
Speaker 0: have spent years developing the x fifty nine,
Speaker 0: a long nose experimental aircraft designed to quiet
Speaker 0: the traditional sonic boom into a softer thumb.
Speaker 0: This breakthrough is key to potentially lifting the
Speaker 0: decades old ban on supersonic flight over land.
Speaker 0: The aircraft just completed its first real test
Speaker 0: flight out of Palmdale, California on October twenty
Speaker 0: eighth. So this is a pretty cool story
Speaker 0: on some, aviation innovation that that we haven't
Speaker 0: really covered too much on the show, I
Speaker 0: feel like, in recent times. So really, really
Speaker 0: awesome step forward in the aviation field. NASA
Speaker 0: has officially flown its x fifty nine flying
Speaker 0: swordfish for the first time, marking a major
Speaker 0: step towards the return of commercial supersonic air
Speaker 0: travel. The aircraft didn't go supersonic yet, but
Speaker 0: upcoming tests will push towards Mach speeds as
Speaker 0: NASA prepares to gather noise impact data from
Speaker 0: communities across the country. This is kinda cool.
Speaker 0: I mean, I would be interested to just
Speaker 0: kinda see what might change for commercial aircraft,
Speaker 0: or commercial aircraft travel times, with with technology
Speaker 0: like this. The aircraft flew for about an
Speaker 0: hour at twelve thousand feet, and they didn't
Speaker 0: test any, sound barrier breaking, on this test
Speaker 0: flight. It seems it was just, mostly for
Speaker 0: making sure all the devices were working, configurations
Speaker 0: were correct, fine tuning. I do believe they're
Speaker 0: planning to do some testing. It says here
Speaker 0: in Oklahoma, but really awesome specs. According to
Speaker 0: Lockheed Martin specifications, the x fifty nine has
Speaker 0: a top speed of Mach one point four
Speaker 0: or nine hundred twenty five miles per hour
Speaker 0: or fourteen eighty nine kilometers per hour, which
Speaker 0: is almost twice as fast as a Boeing
Speaker 0: seven forty seven. It's, designed to fly at
Speaker 0: an altitude of fifty five thousand, feet, and
Speaker 0: the aircraft has a wingspan of thirty feet.
Speaker 0: It's fourteen feet high and a whopping a
Speaker 0: hundred feet long, giving it a strong resemblance
Speaker 0: to a swordfish. Let me show a front
Speaker 0: view picture of it here on the article
Speaker 0: that I have. It's just cool. I do
Speaker 0: believe that there's probably some other models like
Speaker 0: this out there. Someone in the comments of
Speaker 0: this article says, boom. It's done something similar.
Speaker 0: Something to look into if you're interested in
Speaker 0: supersonic flight. Let's do some let's step away
Speaker 0: from the article for a second. Welcome back,
Speaker 0: everyone. Sorry for the late delivery on this
Speaker 0: week's episodes, plural. Chris and I have been
Speaker 0: pretty backed up. Chris just picked up a
Speaker 0: new job, and I've been just plunging through
Speaker 0: mid or plowing through midterm season. We're actually
Speaker 0: coming up on the end of my term
Speaker 0: here, in a few weeks, and, man, I
Speaker 0: don't feel like I'm ready at all. I
Speaker 0: think, I got one of my midterms back.
Speaker 0: It's probably one of the lowest scores I
Speaker 0: ever received on a midterm in the last
Speaker 0: few years, so it's definitely really disappointed in
Speaker 0: myself in terms of, performance there. But hoping
Speaker 0: to turn that around and potentially, do better
Speaker 0: on the final. So I've been studying a
Speaker 0: little bit extra, working a little bit more
Speaker 0: on that, to try to keep that. I'm
Speaker 0: trying to compensate for how poorly I did
Speaker 0: the first time around. It's very clear I
Speaker 0: didn't understand the content. But, I wanna take
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Speaker 0: like us here at Geek News Central. Let's
Speaker 0: get back into the show. I got another
Speaker 0: cool article for you guys tonight. The Phantom
Speaker 0: transparent four k monitor. Virtual Instruments has built
Speaker 0: a prototype twenty four inch transparent four k
Speaker 0: monitor called the Phantom. Using a teleprompter style
Speaker 0: mirror system rather than a transparent OLED, it
Speaker 0: achieves a stunning five thousand nits of brightness
Speaker 0: and allows users to see their environment through
Speaker 0: the screen. Only ten units will be produced
Speaker 0: initially. Ten units. Give me a break. So
Speaker 0: this new prototype display called the Phantom is
Speaker 0: aiming to re reinvent the look of a
Speaker 0: desktop monitor by making it transparent. Despite being
Speaker 0: a concept level device with a limited production,
Speaker 0: it demonstrates where high end display technology may
Speaker 0: be headed with mixed reality style visuals. So
Speaker 0: parent apparently, only ten are being made, which
Speaker 0: is, pretty disappointing, honestly. What the heck? I
Speaker 0: I wish I guess it's just a start
Speaker 0: up, but some of the images on this
Speaker 0: article make it look really cool. Obviously, the
Speaker 0: backgrounds look fake, but definitely looks a little
Speaker 0: bit niche. But I think it's cool to
Speaker 0: just kinda see this starting to, come into
Speaker 0: play, especially with themes like Google Glass coming,
Speaker 0: coming out that came out this year. Seems
Speaker 0: like transparency and opacity is very in. Even
Speaker 0: my own, window manager, I've I've set, opacity
Speaker 0: on, my inactive windows to be a little
Speaker 0: bit more clear so that, you know, you
Speaker 0: kinda see the background through it, and it
Speaker 0: looks like a glass screen. It's it's cool.
Speaker 0: I don't know. I I get it. It's
Speaker 0: cool. But I think this is awesome. If
Speaker 0: you guys wanna check this out, this is
Speaker 0: a cool article from Tom's Hardware. Thank you,
Speaker 0: Hassam Nasir. And I didn't, give some credit
Speaker 0: to the last article. So the the previous
Speaker 0: article is from Live Science, by Damien Pine.
Speaker 0: Thank you very much, Damien Pine. But, yeah,
Speaker 0: I mean, I guess since even though we
Speaker 0: won't see transparent monitors in stores yet, this
Speaker 0: kind of tech is signaling the future of
Speaker 0: workspace screens that blend into your environment. Yeah.
Speaker 0: Right? And then AR displays, I I've recently
Speaker 0: have kind of been more and more of
Speaker 0: a believer of AR, and I think my
Speaker 0: next article will actually kinda convince you of
Speaker 0: that. Now this this next one is is
Speaker 0: still in the realm of, this one's in
Speaker 0: the realm of AI. This is, World Labs
Speaker 0: marble three d world model platform got released.
Speaker 0: If you guys, don't know. So Fei Fei
Speaker 0: Li's startup, World Labs, has released marble, a
Speaker 0: next generation AI model that can generate full
Speaker 0: three d worlds from text, images, video, or
Speaker 0: rough layout sketches. It's part of a major
Speaker 0: industry shift from flat image generation to spatial
Speaker 0: intelligence in three d environments. And I was
Speaker 0: talking about this last night with my partner,
Speaker 0: and it it's really interesting to kinda see
Speaker 0: how this technology is shifting. There was a
Speaker 0: generative, like, AI generated Minecraft game where it
Speaker 0: would generate the scene based on, like, your
Speaker 0: relative scene and and other scenes it's seen
Speaker 0: in the game. So you could walk into
Speaker 0: a dark corner and and back out of
Speaker 0: the corner and actually be in a cave
Speaker 0: now because the context had changed to a
Speaker 0: degree where it was closer to being in
Speaker 0: the cave rather than where you originally were.
Speaker 0: So instead of having it like that where
Speaker 0: they're generating it live, now it's being generated
Speaker 0: with, more of a, how do you put
Speaker 0: it? Like, spatial context. You get more spatial
Speaker 0: context, spatial awareness. If there's a building across
Speaker 0: the way that has, mushrooms all around it,
Speaker 0: then the new building you're gonna make is
Speaker 0: gonna be, mushroom themed as well. If you
Speaker 0: guys don't know who Fei Fei Li is,
Speaker 0: Fei Fei Li is, definitely one of the
Speaker 0: most influential figures in artificial intelligence today and
Speaker 0: and has done a lot of work in,
Speaker 0: visual computing. They were born in Beijing in
Speaker 0: nineteen seventy six and educated here in the
Speaker 0: US. She had her her BA at Princeton,
Speaker 0: her PhD in electrical engineering at Caltech. And
Speaker 0: at Stanford, she's been a professor of computer
Speaker 0: science, founding co director of the Human Centered
Speaker 0: AI Institute, and former director of Stanford's AI
Speaker 0: Lab. Now I think her biggest notable achievement
Speaker 0: is ImageNet. Anyone that does visual computing work
Speaker 0: will know what ImageNet is. It's a large
Speaker 0: scale image database that unlocked, basically, like, modern
Speaker 0: era of deep learning and computer vision. So
Speaker 0: more recently, she's been working on this world
Speaker 0: labs, to pioneer spatial intelligence AI that can
Speaker 0: perceive reason and act within three-dimensional physical environments.
Speaker 0: Because she's a huge ad advocate for human
Speaker 0: centered and ethical AI and a greater diversity
Speaker 0: in the field of AI in general. But,
Speaker 0: yeah, Fei Fei Li is huge right now.
Speaker 0: I would definitely look into her and follow
Speaker 0: her on all the relevant social media if
Speaker 0: you're really into, AI news and and visual
Speaker 0: computing. But let's get back to the article.
Speaker 0: World Labs is launching Marvel, a platform that
Speaker 0: lets creators generate three d scenes in environments
Speaker 0: with simple prompts. It can output meshes, videos,
Speaker 0: or Gaussian splats, and it's designed to plug
Speaker 0: into gaming engines, robotics simulations, and VFX pipelines.
Speaker 0: It's a sign that generative AI is moving
Speaker 0: firmly into three d. With this so this
Speaker 0: is really, really cool. It's they've changed the
Speaker 0: approach, and you can see in some of
Speaker 0: the, graphics they provide, just exactly how it
Speaker 0: works. There was a where was it? There
Speaker 0: was a quote that I wish I had
Speaker 0: saved because it really, like, filled in the
Speaker 0: gaps for me, in terms of how this
Speaker 0: works. Let me see if I can find
Speaker 0: it real quick. Now there is a graphic
Speaker 0: on this, page that I do recommend checking
Speaker 0: out, that kinda shows how it works. And
Speaker 0: I think it kinda makes a little more
Speaker 0: sense in terms of, like, why it's more
Speaker 0: persistent rather than, being live generated and changing
Speaker 0: the context, you know, like I was saying
Speaker 0: with the Minecraft thing. But I definitely recommend
Speaker 0: checking this out. This one's from TechCrunch written
Speaker 0: by Rebecca Belen, and truly, really exciting, news
Speaker 0: in the, I guess, in the world of
Speaker 0: computer vision. Now, hopefully, you know, in terms
Speaker 0: of our concerns of ethical image usage and
Speaker 0: whatnot, a lot of that has been taken
Speaker 0: into account here given Faith Elise's reputation and
Speaker 0: her dedication to ethical AI. But I'm sure
Speaker 0: to some degree there's, you know, some stuff
Speaker 0: that slipped through that should not have. I
Speaker 0: hope not, but, I'm curious to see how
Speaker 0: that is I'll have to look into that
Speaker 0: to see how that's guaranteed. You know? If
Speaker 0: if to make make it so that people
Speaker 0: wanna use the model, especially because a big
Speaker 0: concern with generative stuff right now is stealing
Speaker 0: the content contents of other people's work to
Speaker 0: create this new amalgamation. But on the other
Speaker 0: hand, this, this tech this kind of tech
Speaker 0: would dramatically show the time it takes to
Speaker 0: build, like, virtual worlds. So if you guys
Speaker 0: are into gaming, simulations, even possible, like, AR
Speaker 0: training routines and digital content creation, it it
Speaker 0: could probably help with, a lot of filling
Speaker 0: in the gaps in terms of, you know,
Speaker 0: even just creating scenes for your podcast or
Speaker 0: something. You know, like, you could generate a
Speaker 0: background scene for your, Elgato camera, which could
Speaker 0: use that as your, you know, green screen
Speaker 0: image, which is kinda cool. That was something
Speaker 0: I was thinking about trying out, but I
Speaker 0: haven't been too much doing too much of
Speaker 0: the recording, so it didn't really seem too
Speaker 0: important at the time, currently at this point
Speaker 0: in time. But if I do start doing
Speaker 0: more recording, hopefully, I can set up, a
Speaker 0: nice, background instead of just, like, my my
Speaker 0: bedroom. But, yeah, I I definitely recommend checking
Speaker 0: this article out. I think this is gonna
Speaker 0: be some really groundbreaking stuff. And now if
Speaker 0: any of you are into programming or keep
Speaker 0: up with software development news, this next article
Speaker 0: is from the GitHub blog, TypeScript's rise in
Speaker 0: the AI era, insights from lead architect Anders
Speaker 0: Heilsberg. Hopefully I said that right. Now a
Speaker 0: bit of context. Gabe's latest, developer data shows
Speaker 0: that TypeScript has kinda overtaken both JavaScript and
Speaker 0: Python as the most used programming language on
Speaker 0: the platform. Much of this growth is tied
Speaker 0: to AI assisted coding, which benefits heavily from
Speaker 0: typed languages that reduce errors at scale. Now
Speaker 0: I wonder if this is, you know, if
Speaker 0: we're talking how AI assisted coding are we
Speaker 0: talking about that we're gonna that that it
Speaker 0: requires us to strongly type to reduce errors,
Speaker 0: you know, and I I don't know. I
Speaker 0: I I guess I would have to look
Speaker 0: into this more to kinda understand how this
Speaker 0: works. But I assume it helps on a,
Speaker 0: in terms of, generative code and enforcing, you
Speaker 0: know, type rules for specific objects in your
Speaker 0: system. But I wonder if it's just that
Speaker 0: having those types built into the language makes
Speaker 0: the the generative model more, like, it makes
Speaker 0: it more implicit rather than using a very
Speaker 0: broad language like Python, which can you you
Speaker 0: have to be specific or be good about,
Speaker 0: you know, your your type context. I don't
Speaker 0: know. I wonder. So in twenty twenty five,
Speaker 0: TypeScript became the most used language on GitHub.
Speaker 0: More than a million developers began contributing in
Speaker 0: TypeScript this year alone, which is a sixty
Speaker 0: six percent jump. So it this is due
Speaker 0: to its mix of strong typing, the JavaScript
Speaker 0: compatibility, and synergy with AI code generation tools.
Speaker 0: It's a notable shift in the programming landscape.
Speaker 0: And I think, if I remember correctly, TypeScript
Speaker 0: compiles to JavaScript. So it's almost like safe
Speaker 0: setup and clean knockdown. Right? Because, you know,
Speaker 0: most of the Internet's already using JavaScript. I
Speaker 0: think this is, TypeScript's the superset of JavaScript.
Speaker 0: Right? But so, I wonder. I've never, how
Speaker 0: do I put it? I don't know if
Speaker 0: I've ever consciously used TypeScript, but if it's
Speaker 0: a superset of JavaScript, I I wonder if
Speaker 0: it's just, more specific JavaScript. I'll have to
Speaker 0: look into this a little bit more. But
Speaker 0: if you're in tech or aspiring to be
Speaker 0: in tech, I mean, I'm sure you know,
Speaker 0: this is the first time in years Python's
Speaker 0: been overtaken, especially with the AI boom going
Speaker 0: on right now, and how much support there
Speaker 0: is in Python. It's crazy to see that
Speaker 0: we see this shift because generative AI is
Speaker 0: able to write cleaner code with, with strongly
Speaker 0: typed languages. So, yeah, we'll see how this
Speaker 0: goes in the next few years. Even as
Speaker 0: we're seeing more of these code generative tools
Speaker 0: come up and more people shifting away from
Speaker 0: the classic IDE and into things like cursor
Speaker 0: based IDs, which have more of an agentic
Speaker 0: feel to them. At least it's for from
Speaker 0: what I've read. I actually really need to
Speaker 0: try the cursor ID because I've heard a
Speaker 0: lot of good stuff about it, and some
Speaker 0: of the other, you know, auto context protocol
Speaker 0: based generative AI coding tools now. I really
Speaker 0: haven't tried too much of it at all.
Speaker 0: And even just seeing the tip of the
Speaker 0: iceberg with the use of chatbots, like, that's
Speaker 0: only the beginning. The agents is is where
Speaker 0: it's at, you know, really dialing down the
Speaker 0: context in which you're using it. This next
Speaker 0: article, also really cool. Kinda crazy. Let's go
Speaker 0: with it. World's first mass humanoid robot delivery
Speaker 0: begins as UbiTech sends walker s two units.
Speaker 0: So Chinese company UbiTech or Chinese robotics company
Speaker 0: UbiTech has delivered hundreds of its Walker s
Speaker 0: two humanoid robots to factories and manufacturers, including
Speaker 0: major names like BYD and Foxconn. This marks
Speaker 0: the first time humanoid robots have been developed
Speaker 0: at scale in real world industry environments. I
Speaker 0: I wonder if this is what the robots
Speaker 0: actually look like because the front page image
Speaker 0: here on interesting engineering of this article written
Speaker 0: by Sujita Sinha. Hope I said that right.
Speaker 0: The the image here is is kinda crazy.
Speaker 0: I I don't know. I was just talking
Speaker 0: about this with one of my coworkers actually
Speaker 0: the other day. And, you know, in terms
Speaker 0: of AI assisted tools, like, do you need
Speaker 0: a whole human robot body to help you
Speaker 0: wash your dishes or whatever we're gonna have
Speaker 0: this thing do? I'd rather have a device
Speaker 0: that works in sink that washes the dishes,
Speaker 0: you know, rather than have a robot walk
Speaker 0: over to my sink and and and do
Speaker 0: it there. I I don't know. I I
Speaker 0: feel like to a degree we also personify
Speaker 0: or put these put our human emotions on
Speaker 0: them, and develop some sort of hopeful belief
Speaker 0: that they also have feelings too regardless of
Speaker 0: what we're told or what we're led or
Speaker 0: or what science says. Right? And I think
Speaker 0: just seeing them as humanoid robots is gonna
Speaker 0: make us feel bad for them to a
Speaker 0: degree, trying to making someone do all that
Speaker 0: work. But I wonder. Who knows? We'll see
Speaker 0: we'll see how common this becomes. Ubitec says
Speaker 0: it's completed the first world world's first large
Speaker 0: scale shipment of human humanoid robots to active
Speaker 0: factories, marking a milestone in the industry. These
Speaker 0: units are designed to take on human like
Speaker 0: tasks on manufacturing floors, reflecting a shift from
Speaker 0: robotics demos to real factory integration. Oh my
Speaker 0: goodness. Some major companies are driving eight hundred
Speaker 0: million yuan orders in orders for UbiTech's humanoid
Speaker 0: robots. So a lot of companies are already
Speaker 0: saying I want this, which honestly could be
Speaker 0: pretty concerning for the Chinese labor force, you
Speaker 0: know, if they all get rep replaced by
Speaker 0: robots and what are what are they gonna
Speaker 0: do for work? Are we just gonna keep
Speaker 0: giving them that money? You know? I I
Speaker 0: wouldn't think so. So that's also a major
Speaker 0: concern in terms of their economy too would
Speaker 0: be the what happens with all the workers
Speaker 0: that are gonna be replaced by these robots.
Speaker 0: But we'll see. This is a new major
Speaker 0: new phase of automation. Even if you don't
Speaker 0: work in manufacturing, the presence of humanoid robots
Speaker 0: in factories will influence job markets. Supply chains
Speaker 0: and public conversation about robotics and labor is
Speaker 0: gonna be a huge thing in the next
Speaker 0: few years because we have to think ethically
Speaker 0: about the people that we're replacing here and
Speaker 0: the jobs that are gonna be taken up
Speaker 0: by these robots. And, yes, it's one less
Speaker 0: job that has to be done, but it's
Speaker 0: also one less person that gets paid. We
Speaker 0: we don't really operate in a system that
Speaker 0: provides for people that get their jobs replaced
Speaker 0: by robots. So I wonder I wonder how
Speaker 0: that might, affect their their public and their
Speaker 0: population. Well, let's move on. I got one
Speaker 0: last one for you folks today. This one's
Speaker 0: from Emerge, decrypt dot co. So it looks
Speaker 0: like it's a decrypt article. I didn't realize,
Speaker 0: but, hey yo. This is by Jose Antonio
Speaker 0: Lance. Running your own local open source AI
Speaker 0: model is easy. Here's how. Now recently, I've
Speaker 0: definitely been doing a lot of searches into
Speaker 0: getting a new computer, getting some new parts.
Speaker 0: Man, prices have skyrocketed. Kill me. Kill me.
Speaker 0: Those prices have skyrocketed. I think the fifty
Speaker 0: seventy went from eight hundred. The GPU went
Speaker 0: from eight hundred on average to about thirteen
Speaker 0: or fourteen I'm seeing right now. So give
Speaker 0: me a break. Right? But here's a little
Speaker 0: bit of context into this article. Powerful open
Speaker 0: source AI models like Llama, Mistral, and Fi
Speaker 0: are now efficient enough to run on personal
Speaker 0: computers. New tools such as Ollama and LM
Speaker 0: Studios make setup simple, allowing people to use
Speaker 0: AI locally without cloud services or subscription fees.
Speaker 0: Now one of the biggest concerns about using
Speaker 0: these models, from these big providers like Anthropic
Speaker 0: and OpenAI is that you are basically agreeing
Speaker 0: to allowing to have your data taken and
Speaker 0: trained. Not everyone wants that. And a lot
Speaker 0: of people would love to run these tools
Speaker 0: privately. And it's kinda cool to kinda see
Speaker 0: this. I I wanna do that. So that's
Speaker 0: why I'm looking into new PCs and stuff
Speaker 0: and getting something ready, hopefully so I can
Speaker 0: get that all nice and launched and have
Speaker 0: a little private LLM running from this bad
Speaker 0: boy that I can prompt from anywhere. Like,
Speaker 0: that would be cool. So that's in the
Speaker 0: works, but something to think about if you,
Speaker 0: have a nice setup at home and you
Speaker 0: can run a little something. But a growing
Speaker 0: wave of tools is making it easy for
Speaker 0: anyone to run their own AI model entirely
Speaker 0: offline. With just a standard PC, users can
Speaker 0: load open source models and work privately without
Speaker 0: paying per request cost or sharing data with
Speaker 0: cloud providers. Local AI monitors offer local AI
Speaker 0: models offer privacy and zero subscription costs, letting
Speaker 0: you run powerful models completely offline. So, some
Speaker 0: of the models are called Lama, Mishra, or
Speaker 0: Phy. It can be run privately, and you
Speaker 0: can run those through, tools like Ollama. So
Speaker 0: that was the one I was looking into
Speaker 0: and planning to use, but there's another one
Speaker 0: here that's mentioned called LM Studio. And if
Speaker 0: you're a heavy user that that works with
Speaker 0: private data, I definitely recommend that you shift
Speaker 0: in this direction and and put put that
Speaker 0: data into, your own computer instead of providing
Speaker 0: that to a cloud provider. I think that
Speaker 0: just makes sense. You know? It's a little
Speaker 0: bit ridiculous to allow someone to take all
Speaker 0: your stuff and train their own, machine on
Speaker 0: it, further their own profits. You know? Keep
Speaker 0: that stuff private. But I'm sure we're gonna
Speaker 0: see more and more of these tools come
Speaker 0: out that make it easier and easier. The
Speaker 0: shift is gonna give a lot of users
Speaker 0: more control on their, LLM usage, lower costs,
Speaker 0: better privacy, no reliance on big tech infrastructure
Speaker 0: or a massive cloud server. And I think
Speaker 0: that this is kind of hinting that it
Speaker 0: it is possible to have your AI tools
Speaker 0: locally and running at, on your own, you
Speaker 0: know, dime, basically, without having the, requirement for
Speaker 0: a data center to be available to run
Speaker 0: your models and boiling some water. You know?
Speaker 0: So let's see. We'll see. I'm excited about
Speaker 0: this one. This is something I've been definitely
Speaker 0: been looking into a lot recently and have
Speaker 0: been excited to get running on myself. But,
Speaker 0: yeah, you know, cost constraints and whatnot, tend
Speaker 0: to be the number one reason to start
Speaker 0: or to to prevent you from even starting.
Speaker 0: So that's in the works, but we'll see,
Speaker 0: especially with the current prices being as they
Speaker 0: are. I wanna thank you guys again for
Speaker 0: tuning in for the show, folks. That's really
Speaker 0: all I got for you tonight. Sorry again
Speaker 0: for the long delay on the new episodes.
Speaker 0: I'm recording this on Sunday, November twenty third.
Speaker 0: I just celebrated a birthday, so if you
Speaker 0: guys wanna send me a happy birthday, drop
Speaker 0: it in the comments or something. I don't
Speaker 0: know. But we'll try to be a little
Speaker 0: more consistent about the shows. I really do
Speaker 0: have to talk to Chris about nailing down
Speaker 0: which days of the week. We have initially
Speaker 0: thought it thought that we wanted to do
Speaker 0: Monday and Thursday. But I'm I just am
Speaker 0: completely unavailable right now during the week. And
Speaker 0: Saturday or Sunday mornings just seem like the
Speaker 0: best time for me to be able to
Speaker 0: record a show. So I'm gonna be leaning
Speaker 0: a little bit closer to that. If you
Speaker 0: guys would still want me to post it
Speaker 0: on Monday and just record on Saturday or
Speaker 0: Sunday, that could that could totally be do
Speaker 0: doable too. But my idea is if I
Speaker 0: already have it recorded, why are we holding
Speaker 0: back? You guys might as well be able
Speaker 0: to listen to it. So let me know
Speaker 0: what you think. Send us an email at
Speaker 0: geek at geek news central dot com or
Speaker 0: geek news at g mail dot com. Definitely
Speaker 0: wanna hear your feedback, and drop us some,
Speaker 0: comments. Let us know what you guys think
Speaker 0: of the episode. If you guys wanna hear
Speaker 0: more, AI stuff, more space stuff, we're happy
Speaker 0: to to kinda lean into the feedback and
Speaker 0: look for more articles leaning into the direction
Speaker 0: that you guys want to see. So let
Speaker 0: us know. Thanks again for tuning in. You
Speaker 0: guys have a phenomenal night, and we'll catch