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Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

Triggerwarnung: In dieser Folge geht es um Gewalt an Kindern Die letzten Monate waren nicht leicht für Fenja. Als sie nun endlich mit ihrer anderthalbjährigen Tochter Miri zur Mutter-Kind-Kur im Hochsauerland ankommt, heißt es erst einmal tief durchatmen und Kraft tanken. Doch statt der erhofften Ruhe beginnt ein Albtraum. Miri leidet unter starken Schmerzen, die niemand erklären kann. Während sich Miris Zustand von Tag zu Tag verschlechtert und Fenja immer tiefer in eine Spirale aus Angst und Verzweiflung gerät, sind nicht alle im Umfeld des kleinen Mädchens daran interessiert, dass ihr geholfen wird. In dieser Folge von „Mordlust – Verbrechen und ihre Hintergründe“ geht es um einen gefährlichen Familienkonflikt, der Parallelen zu einer Erzählung aus der griechischen Mythologie aufweist. Expert:innen in dieser Folge: Fachanwältin für Familien- und Medizinrecht Marion Bayer von Abel und Kollegen, sowie Prof. Dr. Frank Häßler, Neurologe, Kinder- und Jugendpsychiater und Gutachter in Verfahren zu Kindstötungen. **Credit** Hosts: Paulina Krasa, Laura Wohlers Producer: Paulina Krasa, Laura Wohlers und Jon Handschin Redaktion: Paulina Krasa, Laura Wohlers, Marysol Mercado Schnitt: Pauline Korb Rechtliche Abnahme: Abel und Kollegen **Quellen (Auswahl)** Urteil Landgericht Hannover - Aktenzeichen 39 Ks 2793 Js 97699/23 (23/23) con-nect: https://t1p.de/z5b69 SZ: https://t1p.de/9obzi NDR: https://t1p.de/lek56 **Partner der Episode** Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte: https://linktr.ee/Mordlust Du möchtest Werbung in diesem Podcast schalten? Dann erfahre hier mehr über die Werbemöglichkeiten bei Seven.One Audio: https://www.seven.one/portfolio/sevenone-audio

Vandaag staan we samen met Monseigneur Koen Vanhoutte stil bij Aswoensdag. De Bijbelvers voor vandaag is: Wees niet bevreesd, want Ik heb u verlost, u geroepen bij uw naam: gij zijt van Mij. – Js 43, 1

Brad and T. Kyle discuss Bad Bunny's 2026 Super Bowl halftime show, symbolism and references, cameos from Lady Gaga and Ricky Martin, stars in La Casita, justice for Becky G, predictions for the next year's halftime show, Jill Zarin putting her foot in her mouth, the “Gagita” meme, High Fashion Editorial! featuring Lady Gaga's meaningful Super Bowl dress and flower, Bad Bunny's outfit, Hudson Williams running amok in New York City with his mother, Kylie Minogue getting her “Padam” Barbie, The STAPLES Baddie on TikTok, Hilary Duff's ‘Lucky Me' world tour announcement, new music from JS, Azzecca, Lykke Li, MUNA, Danny L Harle, the ‘Withering Heights' soundtrack by Charli xcx and Bebe Rexha's kick-off of her new ‘Dirty Blonde' era. Hosted on Acast. See acast.com/privacy for more information.

The State of JavaScript 2025 survey results are in this week, and there's some givens and some surprises this year. Givens: Vite's still a favorites and devs want more native TS features. Surprises: ChatGPT usage declined, no one's using Windsurf, and Bun is the third most-used JS runtime. And thanks for making us the most written-in podcast of the survey! We appreciate it!An 8 month study conducted by the Harvard Business Review reports AI tools don't shrink work for employees, they actually intensify it. Employees work faster, take on more tasks, and work longer hours, which can lead to burnout, cognitive fatigue, and lower quality work over time. And there's yet another new React2Shell flaw that's being exploited by the ILOVEPOOP toolkit to scan and target vulnerable Next.js and RSC environments. Patch your React apps, folks.Timestamps:0:59 - State of JS survey results23:53 - Harvard Business Review's report on how AI is changing work35:30 - React2Shell exploits and ILOVEPOOP40:08 - The largest domain name purchase ever43:00 - Adobe Acrobat can turn PDFs into podcasts46:48 - We hit 100k downloads!47:55 - What's making us happyNews:Paige - State of JavaScript survey results 2025Jack - React2Shell exploitsTJ - HBR reports AI didn't shrink work for employees, it intensified it and the burnout is getting realLightning News: Thanks for helping us reach 100k downloads!The largest publicly disclosed domain name purchase everAdobe Acrobat can turn PDFs into podcastsWhat Makes Us Happy this Week:Paige - San Diego Zoo Safari ParkJack - Bambu Lab H2CTJ - Ubuntu OSThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

We love our gadgets, our high-frame-rate gaming, and our crystal-clear Discord calls—but how often do we look under the hood to see who wrote the code? In Episode 139, the Black Nerd Podcast is geek-diving into the "Source Code" of modern life. We're counting down the Top 10 Nerdiest Tech Creations from Black Inventors. This isn't your average history lesson. We're talking about the high-level engineering, mathematical modeling, and "mad scientist" energy that gave us everything from the interchangeable video game cartridge to the 3D holographic tech being used in NASA labs today. If you've ever called yourself a gamer, a coder, or a tech-head, this episode is a tribute to the pioneers who built the playground we play in every single day.Open show: Join Our Patreon: http://patreon.com/vvclifeGrab Some Gear: http://vvcmerch.comGeneral TalkWeekly Recap Sign Up For PatreonBaldur's Gate 3 Session 20 at 8pm!Monday Night Co Op “Green Hell!!The Precious: JS-1: https://amzn.to/3MGQYJHFame: https://a.co/d/02DawUMpJaelyn: https://www.chessnutech.com/collections/robotic-chessboard/products/chessnut-move-advanced-robotic-chessboard-with-plastic-piecesSloan: Commercial #1Main Topic: Key Discussion PointsThe Gaming Genesis: How Jerry Lawson saved us from being stuck with just Pong forever.CGI & Dinosaurs: The "Geometry Engine" that made Jurassic Park possible and changed cinema history.The Math of the Map: Why Gladys West is the reason you never actually get lost (even when your GPS tells you to turn left into a lake).The Lonnie Johnson Paradox: How one man mastered both the Stealth Bomber and the Super Soaker.Riddle Me this: Commercial: #2Games:Project WindlessLeatherfallThe House Always WinsThe Worlds Most Chaoctic TerminalNews: DC/ Marvel Releases of this year.China's new A.I. Generator?TMNT Pizza Store's?Soda Machine DataWhere does time come from?Stolen TV?Comic Of The week:Instagram:  http://instagram.com/blacknerdpodcast  facebook:   http://facebook.com/blacknerdpodcastReddit: https://www.reddit.com/r/blacknerdgang/s/uftLsO0Ad9website: http://blacknerdpodcast.comhttp://twitter.com/vvcradio   http://instagram.com/js1thasupplier  http://instagram.com/fameplanbhttp://instagram.com/jaelynaleisehttp://instagram.com/sloan_tempest

ReferencesGuerra, DJ. 2026. Unpublished lecturesGuerra. DJ. 2022. J of Disease and Global Health Volume 15 [Issue 3]:22-47.Essays Biochem. 2018 Jul 20;62(3):341–360J Am Chem Soc. 2025 Jul 8;147(28):24258–24274.Bach, JS 1726. Partita for Clavier in D Major BMV828https://music.youtube.com/watch?v=M3k0gSDSYPM&si=m3ANN3qws1OEI67hTelemann , GP. 1720 (?) Sonata in F Minor for trombonehttps://music.youtube.com/watch?v=cfal1EV64gs&si=ET_6TxL2xQ_vpoL6

Hand aufs Herz: Wie viele Domains hast du gekauft, die heute nur noch als jährliche Renew Mail existieren? Genau mit diesem Reality Check steigen wir ein und biegen dann scharf ab: nicht Webdomains, sondern Domain Driven Design.In dieser Episode machen wir DDD greifbar, ohne dass du direkt ein 560-Seiten-Buch heiraten musst. Wir klären, welches Problem Domain Driven Design eigentlich löst, warum Teams in großen Systemen so oft in Spaghetti Code, technische Schulden und Kommunikationschaos rutschen und weshalb eine Ubiquitous Language, also eine gemeinsame, allgegenwärtige Sprache, oft der erste echte Hebel ist.Danach geht es ans strategische Design: Bounded Contexts, Context Mapping, Schnittstellen zwischen Teams und warum das verdächtig nah an Conway's Law, APIs und realen Teamstrukturen ist. Und ja, wir schauen auch auf die taktische Seite: Value Objects, Entities, Aggregates, Repositories, Domain Events, plus der Klassiker aus der Anti-Pattern-Ecke: das anämische Domänenmodell.Wir sprechen außerdem darüber, wie du pragmatisch startest, auch in bestehenden Codebasen, wer das im Team treiben kann, und warum Konsistenz im Naming gerade mit LLMs und AI Coding Tools plötzlich noch mehr zählt als früher.Wenn du wissen willst, ob DDD wirklich Enterprise Buzzword Bingo ist oder einfach der Name für verdammt gute Softwarearchitektur, dann bleib dran.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

In this episode of the Black Nerd Podcast, we're heading to the altar to celebrate the unions that defined our childhoods and shaped our imaginations. We're moving beyond the "struggle tropes" to highlight the intellectual, adventurous, and high-powered love stories that prove Black Love is a Superpower.Open show: Join Our Patreon: http://patreon.com/vvclifeGrab Some Gear: http://vvcmerch.comGeneral TalkWeekly Recap Sign Up For PatreonBaldur's Gate 3 Session 20 at 8pm!Monday Night Co Op “Green Hell!!The Precious: “What A Nerd Wants For Valentine's Day?”JS-1: https://amzn.to/4tq6kmcFame: Jaelyn: https://a.co/d/09UjyMo5Sloan: https://a.co/d/0a0XAqVyCommercial #1Main Topic: Key Discussion PointsWhether they're fighting off alien invasions together or just debating the ethics of the Multiverse over dinner, these couples represent the "Endgame" we all root for. Grab your cape, your rings, and your favorite comic—it's time to get Blerdly Beloved.Why is your couple important to you?What space do they occupy within the culture?What makes their union different from other marriages within the culture?Riddle Me this: Commercial: #2Games:War If The WorldsFear The Time LoopNews: Star Trek WritersSuperhero real life back storiesThe A list is dead?Getting paid to be petty?Comic Of The week:Instagram:  http://instagram.com/blacknerdpodcast  facebook:   http://facebook.com/blacknerdpodcastReddit: https://www.reddit.com/r/blacknerdgang/s/uftLsO0Ad9website: http://blacknerdpodcast.comhttp://twitter.com/vvcradio   http://instagram.com/js1thasupplier  http://instagram.com/fameplanbhttp://instagram.com/jaelynaleisehttp://instagram.com/sloan_tempest

JS: https://x.com/StrydomJoost https://orania.co.za/ https://www.youtube.com/@Orania123 J: https://findmyfrens.net/jburden/ Buy me a coffee: https://www.buymeacoffee.com/j.burden Substack: https://substack.com/@jburden Patreon: https://patreon.com/Jburden GUMROAD: https://radiofreechicago.gumroad.com/l/ucduc Axios: https://axios-remote-fitness-coaching.kit.com/affiliate ETH: 0xB06aF86d23B9304818729abfe02c07513e68Cb70 BTC: 33xLknSCeXFkpFsXRRMqYjGu43x14X1iEt

250 EPISODES! We've officially hit a massive milestone, and the whole crew is here to celebrate in the rowdiest "mega-episode" yet. From Tony Soprano and Doc to JS Gunslinger and Big Badda Boom, the virtual table is packed for four intense rounds of tastings. This episode has everything: a breakdown of the legendary Chicago Pizza debate (Lou Malnati's vs. Giordano's), a deep dive into the "spirit tax" of Washington State, and the mystery of the "staged" youth hockey brawl that went viral. We also pay our respects to the late Scorpions bassist, Francis Buchholz, and Howard Blues tries to survive a "fermented bread drink" that tastes exactly like liquid toast. Whether you have been here since the beginning or just joining the show now—grab a cold one and join the family. Here's to 250 more! Youth Hockey Brawl Video - https://www.youtube.com/watch?v=9ZaraevMso8 Recorded: 1.23.26 0:00 – Intro  2:32 – What's on Tap? 26:22 – Pabst X Godzilla 26:53 – What's on Tap? Round 2 52:08 – JS is Doing Nothing. We Promise 54:39 – Youth Hockey Brawl 1:06:18 – What's on Tap? Round 3 1:22:20 – Don't Do This! Slag 1:25:32 – What's on Tap Round 3 Cont. 1:29:59 – Dad Jokes of the Week 1:35:34 – What's on Tap? Last Call 1:42:41 – Chicago Pizza Debate Revisited 1:52:20 – Cheap Plugs & Hulk Hogan in Metallica 2:01:44 – Final Thoughts & More BS   https://streamlabs.com/beerbluesbs https://beerbluesbs.podbean.com/ https://www.youtube.com/@BeerBluesBS?sub_confirmation=1 https://open.spotify.com/show/1pnho1ZzuGgThbLpXbAs3t https://open.spotify.com/playlist/2Unmhz98iRYU97l18uJp99 https://www.twitch.tv/tuez13 https://www.youtube.com/@HowardsCaveofWonder?sub_confirmation=1 https://www.twitch.tv/krdneyewitnessweathernow 2:14:38   #BeerBluesAndBs #Podcast #TripleBBSPodcast #Podcast #ComedyPodcast #BeerPodcast #Brews #Laughs #BrewsAndLaughs #podcast #tripleb #Comedy #Beer #Blues #Bs #IPA #CraftBeer #BeerReview #CraftBeerReview #ChicagoDeepDish #StarTrek #PodcastLife #LouMalnati #WhatOnTap #ScotchLovers #PizzaDebate #HomeImprovementFails #Episode250 #CraftBeerReview #ChicagoDeepDish #HockeyLife #Malort #KettleHouse #ThreeFloyds #DadJokes #PodcastMilestone

You heard it here first, folks, RSC support is now available in TanStack Start! Since TanStack Start supports not only React but also Solid, it handles serialization differently, meaning the critical security vulnerabilities RSC-enabled React apps have been suffering from lately won't affect TanStack apps.Yarn 6 was recently announced, and (surprise, surprise) it's going to be ported to Rust. Get ready for blazing fast installs, the ability to easily switch between Yarn versions, and lazy installs to silently keep dependency versions in sync with the package.json. Also on the Rust bandwagon is the VoidZero team with Rolldown 1.0 RC. Rolldown is the bundler successor to Rollup, and boasts 10-30x faster speeds than Rollup while maintaining API plugin compatibility, built-in transforms, and native CJS/ESM interoperability. All hail the perf gains of JS tools written in Rust.Timestamps:1:20 - TanStack Start RSC4:15 - Yarn 6 and Rust12:03 - Rolldown 1.0 RC16:38 - More RSC CVEs23:19 - Mozilla is building an AI “rebel alliance”30:05 - What's making us happyNews:Paige - Rolldown 1.0 RCJack - TanStack Start RSCTJ - Yarn 6 and RustLightning News: Another day, another RSC CVEMozilla's building an AI “rebel alliance”What Makes Us Happy this Week:Paige - Landman season 2Jack - VaselineTJ - ChatGPT continuing to help me around the houseThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Love isn't just a subplot; in the multiverse, it's a superpower. As we kick off Black History Month 2026 & speed closer to Valentines Day, we're moving beyond the "struggle" and centering on Black Joy and Connection.In this episode, we're counting down the Top 10 Strongest Love Affairs in Nerd Culture. We aren't just talking about "ships"—we're talking about the ride-or-die partnerships that have survived cosmic reboots, zombie apocalypses, and the high-stakes world of public education. From the royal union of T'Challa and Storm to the slow-burn "nerd-meets-nerd" chemistry of Janine and Gregory, we explore why these couples resonate so deeply with the Blerd community.Join us as we analyze how these relationships challenge historical stereotypes, celebrate vulnerability, and prove that in every timeline, Black love is a radical and necessary force.Open show: Join Our Patreon: http://patreon.com/vvclifeGrab Some Gear: http://vvcmerch.comGeneral TalkWeekly Recap Sign Up For PatreonBaldur's Gate 3 Sessions!Monday Night Co Op!!Lor Travis Invitational TournamentThe Precious: JS-1: https://amzn.to/4tcesqlFame: https://a.co/d/ghVl7sbJaelyn: https://a.co/d/0njXVQbSloan: https://www.etsy.com/listing/4390724824/?ref=share_ios_native_controlCommercial #1Main Topic: Key Discussion PointsThe Blueprint: Why A Different World's Dwayne and Whitley still define "Goals" in 2026.Multiversal Bonds: The evolution of Miles Morales and the strength of his comic-book connections.Revolutionary Romance: How Black sci-fi and fantasy are finally giving us "soft" love stories without the trauma.Riddle Me this: Commercial: #2Games:Police SimulatorStars Of IcurusDue ProcessArms Of GodNews: Power Rangers UniverseCat cellphoneSocial Media Platform only for A.I.Chuck NorrisJudge Dred RebootGundam on Netflix?Disney Afternoon CollectionCalculate How much a ood chucksHumans will return to the moon next week Highlander rebootComic Of The week:Instagram:  http://instagram.com/blacknerdpodcast  facebook:   http://facebook.com/blacknerdpodcastReddit: https://www.reddit.com/r/blacknerdgang/s/uftLsO0Ad9website: http://blacknerdpodcast.comhttp://twitter.com/vvcradio   http://instagram.com/js1thasupplier  http://instagram.com/fameplanbhttp://instagram.com/jaelynaleisehttp://instagram.com/sloan_tempest

On entend souvent que la dynamique anxieux–évitant est la plus difficile à vivre en couple.Mais en clinique, ce n'est pas toujours celle qui laisse le plus de dégâts.Dans cet épisode, on déconstruit une idée reçue tenace et on explore le mixte de styles d'attachement le plus complexe en relation —

Maintaining a balance between your creative passions and the "real world" is a challenge every blerd (black nerd) faces when they decide to hit record. In this episode, we're peeling back the curtain on the business, the hustle, and the mental health required to survive as an independent nerdy content creator.Whether you're a cosplayer, a YouTuber, or a comic book writer, being "independent" means you are the CEO, the intern, and the talent all at once. We'll discuss how to build a brand that stays true to your geeky roots while navigating an industry that doesn't always have a blueprint for us.Open show: Join Our Patreon: http://patreon.com/vvclifeGrab Some Gear: http://vvcmerch.comGeneral TalkWeekly Recap Sign Up For PatreonBaldur's Gate 3 Sessions!Monday Night Co Op!!Lor Travis Invitational TournamentPokemon CompetitionThe Precious: JS-1: https://amzn.to/4qOtukDFame: https://a.co/d/3ZJSSYhJaelyn: https://a.co/d/eaAkAWrSloan: https://www.etsy.com/listing/4370365252/?ref=share_ios_native_controlCommercial #1Main Topic: Commercial: #2Games:Duel Fire Walled CityMagical AcademyLoot BoundSemiNews: Nights everyone should plan with their friendsSamsung is top dog!If buying doesn't count as ownership then…..Demolition Man 2 in productionComic Of The week: OrdealInstagram:  http://instagram.com/blacknerdpodcast  facebook:   http://facebook.com/blacknerdpodcastReddit: https://www.reddit.com/r/blacknerdgang/s/uftLsO0Ad9website: http://blacknerdpodcast.comhttp://twitter.com/vvcradio   http://instagram.com/js1thasupplier  http://instagram.com/fameplanbhttp://instagram.com/jaelynaleisehttp://instagram.com/sloan_tempest

Stand up comedian, movie critic and history buff Brandon Collins joins JS-1 Tha Supplier to talk about comedy, movies, touring and drunk history in great detail!! Press play and enjoy all the great conversation!!

ReferencesSci Signal. 2017 Jan 31; 10(464):eaaf7478.Guerra, DJ. 2026. Unpublished LecturesLennon/McCartney. 1966. She Said She Said Beatles Revolverhttps://youtu.be/rLzfo59AdEc?si=2J-sKlX4r4JstzKkLennon/McCartney. 1969. She's So Heavy Beatles Abbey Roadhttps://music.youtube.com/watch?v=tAe2Q_LhY8g&si=LHuEwWvRmUKGQ0dyBach, JS . 1717. Chaconne No.2 BMW 1004. https://music.youtube.com/watch?v=ngjEVKxQCWs&si=1kPb-z0TEfPL5Dvl

Besprochene Urteile1. Strafrecht: Gefälschtes Innenministerin-Foto – erst Verurteilung, dann FreispruchAG Bamberg, Urteil vom 08.04.2025 – 27 Cs 1108 Js 11315/24 (2) LG Bamberg, Urteil vom 14.01.2026 – 11 NBs 1108 Js 11315/24Manipuliertes Foto von Nancy Faeser mit Text "Ich hasse die Meinungsfreiheit" – AG verurteilte zu sieben Monaten Bewährung wegen Verleumdung (§ 188 StGB), LG sprach frei. 2. Waffenrecht: Einkürzen einer Handfackel ist unerlaubter Umgang mit ExplosivstoffenOLG Hamm, Beschluss vom 13.01.2026 – (Az. nicht veröffentlicht)Wer Griffstück einer Handfackel von 120 mm auf 4 mm kürzt, geht unerlaubt mit explosionsgefährlichen Stoffen um. 3. Gaststättenrecht: Shishabar darf keine Shishas mehr servierenVG Mainz, Beschluss vom 29.12.2025 – 1 L 693/25.MZUntersagung der Shisha-Zubereitung trotz bestehender Gaststättenerlaubnis zulässig bei jahrelangen Sicherheitsverstößen. 4. Polizeirecht: Schmerzgriff-Urteil rechtskräftig – aus formalen GründenOVG Berlin-Brandenburg, Beschluss vom 08.01.2026 – OVG 6 N 63/25Berufungszulassung der Berliner Polizei abgelehnt – VG-Urteil zu unverhältnismäßigem Schmerzgriff gegen "Klimakleber" rechtskräftig. 5. Zivilprozessrecht: Truhe im Hausflur als wirksame ZustelladresseLG Lübeck, Urteil vom 18.12.2025 – 15 O 191/24Jahrzehntelange Praxis der Postablage auf Truhe im Hausflur ist wirksame Ersatzzustellung nach § 180 Satz 1 ZPO – auch bei Mitnutzung durch Dritte. Postbote legte seit Jahrzehnten im Einvernehmen Post auf Truhe im nicht verschließbaren Vorraum. Support the show

Derrière jaimetoutcheztoi, Alice et JS forment un duo incontournable de l'influence mode.Depuis près de dix ans, ils collaborent avec les plus grandes maisons de luxe et construisent un projet créatif à deux.Dans cet épisode, ils racontent l'envers du décor : concilier vie personnelle et professionnelle, entreprendre en couple, cumuler les rôles créatifs et dépasser l'image de simples “porte-manteaux”.Un échange sincère sur la réalité du métier d'influenceur mode aujourd'hui.#podcast #podcastfrançais #podcastmarketing #marketingdinfluence #influenceurmode #creatorbusiness #jaimetoutcheztoi

We're back with our first episode of 2026, and prominent software developer and YouTuber, Theo Browne, made waves recently when he announced he'd migrated his T3 Chat app from the Next.js framework to TanStack Start. It isn't that Next.js is bad, but that the requirements of T3 Chat were better supported by TanStack Start's architecture, and Theo breaks down his evaluation process to reach that decision.For the 10th year in a row, the JavaScript Rising Stars report drops, and the most popular projects (by GitHub stars) for the year include n8n (a workflow automation platform), react-bits (gorgeous animated React components), shadcn/ui (more UI components), and Excalidraw (virtual whiteboard for sketching and diagramming).In less stellar news, the creator of the wildly popular CSS library Tailwind announced he's had to lay off 75% of his engineering team because AI has killed traffic to its website (and by association, Tailwind's commercial products that drive revenue). It was hard enough before the rise of AI for OSS to get funding, and this is just another cautionary tale that we need to support the people building the tools and products so many of us use every day in our jobs.Timestamps:1:54 - Theo moves off Next.js and resulting buzz11:32 - A look at the 2025 JS rising stars23:25 - Is AI hurting Tailwind?31:03 - Lego smart bricks35:45 - What's making us happy News:Paige - Is AI killing OSS now? Tailwind thinks soJack - Theo moved off Next.js to TanStack Start and the internet is buzzing TJ - 2025 rising starsLightning News: Lego smart bricksWhat Makes Us Happy this Week:Paige - Flip-It! Bottle emptying capsJack - Miami Hurricanes football team TJ - New Pokemon GO featuresThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Episode 246 is here, and the Triple B crew is trading simple cans for high-end mixology—with a side of major controversy! In this episode, we dive into the industry-shaking news of a title being stripped of its Game of the Year awards over the use of generative AI. We break down the ethics of AI in gaming, its massive environmental footprint, and whether "placeholder" content is killing human artistry. Highlights from the show: The Slushie Revolution: Doc puts a new Ninja machine to the test with a "boozy slush" Riesling. Masterclass Mixology: JS crafts a top-shelf Manhattan and a Gin Ricky, including a mid-show rescue mission to save a bitter flavor profile. The "White Mocha" Disaster: Mark and Howard suffer through a stout that smells like "rancid summer candy." The Fighting Sioux Battle: We discuss the bold move by a local man to trademark a legendary nickname and the legal firestorm following it. Pirate Degrees: Is it actually possible to get an MIT-certified pirate qualification? Plus, we talk about stolen police car chases, the final flavor in the Mushroom Jerky saga, and JS's genius hack for "test-driving" expensive hunting knives before you buy.   The Prop Wizard - https://www.etsy.com/shop/ThePropWizard   Recorded: 12.26.25 0:00 – Intro 6:37 – What's on Tap? 26:14 – Video Game Awards AI Controversy 37:15 – What's on Tap? Round 2 54:29 – Favorite Holiday Treat 57:08 – John Cena Movies and High Speed Pursuit 1:00:00 – UND Trademark Claim 1:04:33 – Cheap Plugs 1:11:34- Final Thoughts   https://streamlabs.com/beerbluesbs https://beerbluesbs.podbean.com/ https://www.youtube.com/@BeerBluesBS?sub_confirmation=1 https://open.spotify.com/show/1pnho1ZzuGgThbLpXbAs3t https://open.spotify.com/playlist/2Unmhz98iRYU97l18uJp99 https://www.twitch.tv/tuez13 https://www.youtube.com/@HowardsCaveofWonder?sub_confirmation=1 https://www.twitch.tv/krdneyewitnessweathernow 49:30 #BeerBluesAndBs #Podcast #TripleBBSPodcast #Podcast #ComedyPodcast #BeerPodcast #Brews #Laughs #BrewsAndLaughs #podcast #tripleb #Comedy #Beer #Blues #Bs #IPA #CraftBeer #BeerReview #AIGaming #GameOfTheYear #Mixology #FightingSioux #MushroomJerky #StarTrek #Jameson #NinjaSlushie #PirateDegree #KnifeCollecting

Rotator Cuff Tendinopathy explained, including a review of what is the rotator cuff and muscles involved, Rotator Cuff Tendinopathy pathophysiology, as well as symptoms and diagnosis. We look at the Rotator Cuff physical exam, as well as Rotator Cuff Tendinopathy diagnosis and treatment. PDFs available here: https://rhesusmedicine.com/pages/orthopaedicsConsider subscribing (if you found any of the info useful!): https://www.youtube.com/channel/UCRks8wB6vgz0E7buP0L_5RQ?sub_confirmation=1Patreon: https://www.patreon.com/rhesusmedicineBuy Us A Coffee!: https://www.buymeacoffee.com/rhesusmedicineTimestamps: 0:00 What is the Rotator Cuff?1:05 What is Rotator Cuff Tendinopathy?1:36 Rotator Cuff Tendinopathy Pathophysiology3:28 Rotator Cuff Tendinopathy Symptoms4:00 Rotator Cuff Tendinopathy Diagnosis6:11 Rotator Cuff Tendinopathy TreatmentLINK TO SOCIAL MEDIA: https://www.instagram.com/rhesusmedicine/Please remember this podcast and all content from Rhesus Medicine is meant for educational purposes only and should not be used as a guide to diagnose or to treat. Please consult a healthcare professional for medical advice. ReferencesBMJ Best Practice (2025) Rotator cuff injury – Symptoms, diagnosis and treatment. BMJ Best Practice. Available at: https://bestpractice.bmj.com/topics/en-gb/586 BMJ Best PracticeTeachMeAnatomy (2026) The intrinsic muscles of the shoulder. TeachMeAnatomy. Available at: https://teachmeanatomy.info/upper-limb/muscles/shoulder/intrinsic/ TeachMeAnatomyExploreAnatomy.com (n.d.) Rotator cuff muscles. ExploreAnatomy.com. Available at: https://exploreanatomy.com/musculoskeletal-system/rotator-cuff-musclesPhysio-Pedia (n.d.) Rotator Cuff Tendinopathy. Physio-Pedia. Available at: https://www.physio-pedia.com/Rotator_Cuff_Tendinopathy physio-pedia.comDesmeules, F., Roy, J-S., Lafrance, S. et al. (2025) Rotator Cuff Tendinopathy Diagnosis, Nonsurgical Medical Care, and Rehabilitation: A Clinical Practice Guideline, Journal of Orthopaedic & Sports Physical Therapy, 55(4), pp.235–274. DOI: 10.2519/jospt.2025.13182 PubMed+1

Happy New Year! The Triple B crew is back and already "blitzed" for the first show of 2026! This episode kicks off with a spirited round of What's On Tap featuring gifted drinks, including a fascinating comparison between a New Glarus Spotted Cow and a clone brewed by LCL Geek! Plus, Rudeboy Kyle is sampling a fine Widow Jane bourbon, and Mark Kidder is taking one for the team with a potentially "dangerous" lemon soju. The conversation quickly turns futuristic and contentious as we dive into Disney's $1 Billion agreement with OpenAI, discussing the ramifications for actors and artists, and predicting the next SAG strike. We break down the surprisingly awesome Street Fighter Movie Trailer (ft. Roman Reigns and 50 Cent!), check in on the marathon that is One Piece Season 1, Episode 1,155, and get the details on the new Total War: Warhammer 40k RTS game reveal. Also featured: JS Gunslinger breaks his new Code 118 Slimline Wallet immediately. LCL Geek shares a microwave malfunction story. The hunt for the perfect New Year's Resolution (spoiler: it's not the gym). Stick around for the Doc's insightful final thoughts and the always-questionable AI-Generated Outro! ➡️ Buy the Triple B Bikini (yes, it exists!) and all our merch at: streamlabs.com/beerbluesbs Recorded 12.12.25 0:00 – Intro 2:22 – What's on Tap? 19:22 – AI and Disney 23:43 – New Street Fighter Movie 28:34 – One Piece Season 1 Ending 32:44 – JS' Black Friday Find 37:23 – What's on tap? Round 2 48:25 – Total War: Warhammer 40K 58:19 – IYKYK 1:03:04 – Last Topic: Microwaves 1:07:27 – Cheap Plugs 1:21:16 – Final Thoughts   https://streamlabs.com/beerbluesbs https://beerbluesbs.podbean.com/ https://www.youtube.com/@BeerBluesBS?sub_confirmation=1 https://open.spotify.com/show/1pnho1ZzuGgThbLpXbAs3t https://open.spotify.com/playlist/2Unmhz98iRYU97l18uJp99 https://www.twitch.tv/tuez13 https://www.youtube.com/@HowardsCaveofWonder?sub_confirmation=1 https://www.twitch.tv/krdneyewitnessweathernow 35:32 #BeerBluesAndBs #Podcast #TripleBBSPodcast #Podcast #ComedyPodcast #BeerPodcast #Brews #Laughs #BrewsAndLaughs #podcast #tripleb #Comedy #Beer #Blues #Bs #IPA #CraftBeer #BeerReview #NewYears #2026 #AI #OpenAI #Disney #StreetFigherter #StreetfighterMovie #Warhammer40K #TotalWar #TotalWarWarhammer40k #OnePiece #SpottedCow #SpottedCowClone #Homebrew #WhiskeyReview

A good year in modeling doesn't happen by accident. It grows out of small bench wins, a few brave skill pushes, and the friends who show up at the right time. We wrap 2025 with a clear-eyed look at what worked, what changed, and how to carry that energy into 2026—plus a rich conversation with Australia's own Paul Gloster on moving his entire modeling life across states without losing momentum.We start with holiday check-ins, realistic bench talk, and the simple joy of a new tool that actually solves a problem. From there, we dig into the skills that moved the needle this year: sharper re-engraving, cleaner canopies, tighter scratchbuilding, and just enough 3D printing to expand what's possible. Then we head into travel and community. Four days at the IPMS National Convention changes your modeling in ways a two-day show can't—deeper seminars, patient conversations, and the kind of learning that sticks. It's where “model friends” become friends, and where you can see a kit built before it lands in your shop.Paul's segment is a masterclass in keeping mojo alive during a move. He shows how to triage a stash, protect finished builds with foam and tubs, and assemble a small, reachable “twelve-kit shortlist” that keeps you building while the new bench comes together. He catalogs tools by role, keeps a “desert-island” core set handy, and ensures references are within reach so progress doesn't stall. If you're searching for how to move built models, how to store unbuilt kits long-term, or how to set up a temporary modeling bench, you'll leave with a proven plan.We also riff on the kit news that made 2025 pop: Fine Molds' Zeros and F-104s, Tamiya's 1/72 F-14, Rye Field's JS-2, and Arma's incoming 1/72 Me 262. More than eye candy, these releases give modelers fresh canvases—better engineering, great markings, and subjects that reward both clean builds and heavy weathering.If you're plotting your own 2026, here's our take: set one or two honest goals, pick a some that stretch you, and build the bench you want to return to. The rest follows. Enjoy the episode, share it with a modeling friend, and help someone new find their groove.If you had a favorite kit reveal or a skill breakthrough in 2025, tell us about it. And if this resonated, please follow, rate, and leave a short review—it helps more modelers find the show.Model Paint SolutionsYour source for Harder & Steenbeck Airbrushes and David Union Power ToolsSQUADRON Adding to the stash since 1968Model PodcastsPlease check out the other pods in the modelsphere!Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Give us your Feedback!Rate the Show!Support the Show!PatreonBuy Me a BeerPaypalBump Riffs Graciously Provided by Ed BarothAd Reads Generously Provided by Bob "The Voice of Bob" BairMike and Kentucky Dave thank each and everyone of you for participating on this journey with us.

In the first part of this episode of the Curious Realm, host Christopher Jordan welcomes Reverend Michael JSS Carter to discuss discernment in experiences. Paranormal experiences run the gamut from ghosts and hauntings to UFOs and alien abduction, to encounters with creatures form the world of Cryptozoology. But how does the way the world sees these experiences differ from that of the experiencer, and how can those who have had these experiences begin to discern their meaning and impact on their life as not only a moment within it, but as a lasting lesson of connection, both good and bad? In the second part of the episode, we welcome medium Elizabeth Joyce to discuss the vast possibilities and predictions for the coming year 2026. Could humanity befall some great disaster? Will AI take over the stock market? Might earth be sucked into a time rift? We explore the many possibilities and predictions for the coming year! Join the Curious Realm as we delve into the topics of discerning experiences w Reverend Michael JS Carter and 2026 predictions with Elizabeth Joyce. Curious Realm is proudly distributed by: Ground Zero Media & Aftermath Media, APRTV and the official Curious Realm ROKU App! Curious Realm has teamed up with True Hemp Science, Austin, TX-based suppliers of high-quality full spectrum emulsified CBD products and more. Visit TrueHempScience.com TODAY and use code Curious7 to save 7% off your order of $50 or more and get a free 50mg CBD edible! Intro music “A Curious Realm” provided by No Disassemble find more great music and content at: NoDisassemble.com.Become a supporter of this podcast: https://www.spreaker.com/podcast/curious-realm--5254986/support.

In the first part of this episode of the Curious Realm, host Christopher Jordan welcomes Reverend Michael JSS Carter to discuss discernment in experiences. Paranormal experiences run the gamut from ghosts and hauntings to UFOs and alien abduction, to encounters with creatures form the world of Cryptozoology. But how does the way the world sees these experiences differ from that of the experiencer, and how can those who have had these experiences begin to discern their meaning and impact on their life as not only a moment within it, but as a lasting lesson of connection, both good and bad? In the second part of the episode, we welcome medium Elizabeth Joyce to discuss the vast possibilities and predictions for the coming year 2026. Could humanity befall some great disaster? Will AI take over the stock market? Might earth be sucked into a time rift? We explore the many possibilities and predictions for the coming year! Join the Curious Realm as we delve into the topics of discerning experiences w Reverend Michael JS Carter and 2026 predictions with Elizabeth Joyce. Curious Realm is proudly distributed by: Ground Zero Media & Aftermath Media, APRTV and the official Curious Realm ROKU App! Curious Realm has teamed up with True Hemp Science, Austin, TX-based suppliers of high-quality full spectrum emulsified CBD products and more. Visit TrueHempScience.com TODAY and use code Curious7 to save 7% off your order of $50 or more and get a free 50mg CBD edible! Intro music “A Curious Realm” provided by No Disassemble find more great music and content at: NoDisassemble.com.Become a supporter of this podcast: https://www.spreaker.com/podcast/curious-realm--5254986/support.

The Triple B crew is back for their final episode of the year, and it's a holiday spectacular! Tune in to hear the legendary Mark Kidder get unexpectedly summoned by the magic words, Howard Blues deliver an uncharacteristically deep intro, and a full round of What's On Tap featuring everything from sugar-free vodka mixes and "blue wine" to a homemade whiskey sour. We hit a six terabyte storage milestone, unveil the new "TripleB out of context" feature, and dive into a fiery session of Howard's Hot Takes: Christmas Edition. Find out which holiday classics the team thinks are overrated, which songs deserve more airplay, and the one holiday food item that should be banned from your dinner table forever. Plus, JS provides real-time sewing education while inventorying the hilarious contents of a child's ripped backpack! Don't miss the final word on: The infamous "parking ticket" game, the perils of North Dakota weather, and a deep-dive into Christmas traditions (and the decorations we absolutely refuse to put up). Like, subscribe, and hit the bell for more Beer, Blues, and BS! ➡️ Find all the links, merch, and show info at: beerbluesbs.com   Recorded 12.12.25 0:00 – Intro 2:45 – What's on Tap? 15:44 – Triple B Out of Context 18:33 – Dad Jokes of the Week 20:28 – Parking Tickets and Bad Weather Driving 28:21 – What is in the Backpack 31:17 – Towing and Tow Story 35:03 – Howard's Hot Takes: Christmas 59:39 – What Star Trek Has That Star Wars Never Will 1:03:36 – Cheap Plugs 1:07:42 – Final Thoughts   https://streamlabs.com/beerbluesbs https://beerbluesbs.podbean.com/ https://www.youtube.com/@BeerBluesBS?sub_confirmation=1 https://open.spotify.com/show/1pnho1ZzuGgThbLpXbAs3t https://open.spotify.com/playlist/2Unmhz98iRYU97l18uJp99 https://www.twitch.tv/tuez13 https://www.youtube.com/@HowardsCaveofWonder?sub_confirmation=1 https://www.twitch.tv/krdneyewitnessweathernow 03:11 #BeerBluesAndBs #Podcast #TripleBBSPodcast #Podcast #ComedyPodcast #BeerPodcast #Brews #Laughs #BrewsAndLaughs #podcast #tripleb #Comedy #Beer #Blues #Bs #IPA #CraftBeer #BeerReview #HolidaySpecial #Christmas #ChristmasHotTakes #OverratedChristmasMovies #WorstHolidayFood #DadJokes #Sewing #Dadcanfixit #Starwars #Startrek

António José Martins Seguro, assim aparecerá nos boletins de voto, foi candidato muito antes de o ser. Malquerido por muitos dos seus camaradas, apoiado por tantos outros, tornou-se, perante a ausência de outras alternativas no espaço socialista, na escolha inevitável do PS. O mal-estar tem mais de uma década, mas nem assim ficou enterrado num passado traumático. Apresenta-se como um candidato para lá dos partidos, apesar de ser, como Marques Mendes, Cotrim de Figueiredo e Catarina Martins, ex-líder partidário. Além disso, foi secretário-geral da JS, deputado, eurodeputado, ministro e secretário de Estado. A diferença é que está, de facto, afastado da vida partidária há muito tempo. Apresentou-se acima do estatuto que lhe deu visibilidade e, talvez por isso, hesitou dizer que é de esquerda e socialista e recebeu de braços abertos apoios de passistas. O ex-secretário-geral socialista é o convidado deste episódio do Perguntar Não Ofende.See omnystudio.com/listener for privacy information.

Hasta hace poco, MinIO era el rey indiscutible para implementar almacenamiento S3 autoalojado. Pero un cambio de licencia polémico (de Apache 2.0 a la estricta AGPL v3) y, lo que es peor para el usuario libre, la eliminación de la Consola GUI de la versión abierta, han forzado a muchos, incluido yo, a buscar una alternativa. ¡Y la hemos encontrado!En este episodio, te explico a fondo qué es S3, por qué este protocolo de almacenamiento de objetos es una pieza clave e indispensable para cualquier infraestructura de selfhosting o *homelab*, y te presento a RustFS, el nuevo servidor compatible con la API de S3 que está diseñado para la comunidad, manteniendo la promesa de ser libre, transparente, rápido, y lo más importante: con su interfaz gráfica de administración incluida.

Web scraping has entered a new era and AI is changing everything. In this videocast, Osman Celik speaks with Dmitriy Loshakov from QRator Labs to explore how automated data collection has evolved from simple crawling into highly adaptive, human-like scraping attacks that operate invisibly. You’ll learn: ✅ What web scraping actually is (and why not all scraping is malicious)✅ How AI-powered scrapers mimic real user behavior with mouse movements, delays & clicks✅ Why classic defenses like CAPTCHAs and JS challenges no longer stop modern bots✅ The industries hit hardest — from e-commerce and travel to betting, finance, and media✅ How organizations can defend themselves using behavioral analysis & intent detection✅ Why the future of cybersecurity is officially AI vs. AI

Welcome back to the Manor! It is time for our annual Ghost Stories for Christmas episode!  This year, we're focusing a fair bit on M.R. James and our favorites of his, but we do talk about other authors and even have a "tournament of authors."  Something which we also subject our guest to!  We want to welcome John M Knight to the show, an excellent author who has written stories in the Jamesian style with modern twists. So join us, as James and Jody discuss their usual things and then as James interviews John.  A plethora of Yuletide spooky Js, with the three of us along with Montague James!   Next week's episode is on the background of a Charlie Brown Christmas Get in touch with us at Podbean: https://www.podbean.com/media/share/pb-4pksr-a17e1a Or on Facebook: https://www.facebook.com/twinterrorsmacabremanormeadmetalmayhe/ Or on twitter: @Terrors_Manor On Instagram: @macabremanormeadmetalmayhem You can also find our podcast on iTunes, Spotify, Amazon, and I Heart Radio; pretty much wherever fine (and our) podcasts are aired. Image courtesy of:  RIP SLB  

Episode 242 is here, and the debates are as spirited as the drinks! The episode kicks off with accusations flying as Howard Blues accuses Mark Kidder of cheating on the Star Trek vs. Star Wars poll! Mark Kidder dismisses the idea, demanding they stop talking about political-style interference. In "What's on Tap," we taste a range of beverages: JS unveils a special "Villain" Old-Fashioned using a clearance liquor he scored. Mark Kidder risks a Tequila Paloma that gives him "chills up my spine." And Howard Blues bravely does a blind taste test of a mystery, year-old gift wrapped by JS, with hilarious results! Plus, we cover: Mark Kidder's Massive Purchase: A deep dive into the awesome details of the LEGO Star Trek Enterprise set, complete with exclusive add-ons. Credit Card Debate: JS lectures on why he's succeeded in avoiding credit cards entirely, arguing that debit cards offer the same protection. Geek Collabs: We check out the brand-new Dungeons & Dragons x Dragon's Milk collaboration beer set! Join us for the full discussion, and tune in next week for the story of the time Howard was stabbed with a sword! Recorded: 11.28.25 0:00 – Intro 5:07 – What's on Tap? 23:26 – Black Friday Shopping 31:27 – Credit Card Debate 35:15 – Black Friday Shopping Continued 42:47 – What was Howard Drinking 44:13 – What's on Tap? Round 2 54:58 – Roundabout Traffic Jam 58:08 – Cheap Plugs 1:02:38 – Final Thoughts https://streamlabs.com/beerbluesbs https://beerbluesbs.podbean.com/ https://www.youtube.com/@BeerBluesBS?sub_confirmation=1 https://open.spotify.com/show/1pnho1ZzuGgThbLpXbAs3t https://open.spotify.com/playlist/2Unmhz98iRYU97l18uJp99 https://www.twitch.tv/tuez13 https://www.youtube.com/@HowardsCaveofWonder?sub_confirmation=1 https://www.twitch.tv/krdneyewitnessweathernow 24:13 #BeerBluesAndBs #Podcast #TripleBBSPodcast #Podcast #ComedyPodcast #BeerPodcast #Brews #Laughs #BrewsAndLaughs #podcast #tripleb #Comedy #Beer #Blues #Bs #IPA #CraftBeer #BeerReview #GarageSale #Hoarders #SnowPlowSimulator #Gaming #HardCider #Blacksmithing #ForgedInFire #BeerReview #Chaos #StarTrek #StarWars #LEGO #Tequila #OldFashioned #DungeonsAndDragons #DragonsMilk #CreditCards #Cider #Yingling #GeekCollabs

JS哥哥妹妹出道26週年單曲全球上線！！！ 這集來跟大家分享這首歌的創作故事 以下為歌曲文案： 鳥兒學習飛翔的時候，會不會害怕墜落？如果知道起飛之後，可能海闊天空，也可能粉身碎骨，牠還會無所畏懼地振翅嗎？越成長，不在乎結果的勇氣好像離我們越來越遠。但希望我們的音樂，會是陪伴你再勇敢飛翔的理由。 在每一首新歌誕生之前，我們把自己歸零。用學生時代剛開始寫歌的赤子心，去寫出這個時代我們認為重要的事。希望聽見這首歌的你，也能隨時隨地再開始。 《是你給我再飛翔的理由》 Credit 作曲Composer：陳忠義Justin Chen 作詞Lyricsist：陳綺萱Sophia Chen 製作人Producer：陳忠義 Justin Chen　 編曲 Music Arrangement：周菲比Phebe Chou 木吉他 Accoustic Guitars：郭偉聰 Steven Kwok 電吉他 Electric Guitars：郭偉聰 Steven Kwok 和聲編寫 B.V. Arrangement : 陳忠義 Justin Chen 和聲 B.V.：陳忠義 Justin Chen 陳綺萱 Sophia Chen 混音師&錄音室 Mixing Engineer & Studio：小冷＠杰福文化 Frio Cheng@Jie Fu Studio 錄音師&錄音室 Recording Engineer & Studio：陳忠義＠白金錄音室 Justin Chen@Platinum Studio - 加入會員，支持節目： https://brosistalk.firstory.io/join 留言告訴我你對這一集的想法： https://open.firstory.me/user/ckhserk8xb97w0882xz35bmpb/comments Powered by Firstory Hosting

In this week's show Patrick Gray and Adam Boileau discuss the week's cybersecurity news, including: There's a CVSS 10/10 remote code exec in the React javascript server. JS server? U wot mate? China is out popping shells with it Linux adds support for PCIe bus encryption Amnesty International says Intellexa can just TeamViewer into its customers' surveillance systems …and a Belgian murder suspect complains that GrapheneOS's duress wipe feature failed him? This week's episode is sponsored by Kroll Cyber. Simon Onyons is Managing Director at Kroll's Cyber and Data Resilience arm, and he discusses a problem near to many of our hearts. Just how do you explain cyber risk to the board? This episode is also available on Youtube. Show notes Risky Bulletin: APTs go after the React2Shell vulnerability within hours - Risky Business Media Guillermo Rauch on X: "React2Shell" / X React2Shell-CVE-2025-55182-original-poc/README.md at main · lachlan2k/React2Shell-CVE-2025-55182-original-poc · GitHub Hydrogen: Shopify's headless commerce framework Researchers track dozens of organizations affected by React2Shell compromises tied to China's MSS | The Record from Recorded Future News Unveiling WARP PANDA: A New Sophisticated China-Nexus Adversary Three hacking groups, two vulnerabilities and all eyes on China | The Record from Recorded Future News Risky Bulletin: Linux adds PCIe encryption to help secure cloud servers Sean Plankey nomination to lead CISA appears to be over after Thursday vote | CyberScoop

[✐2.Andante, 3.Moderato] Onomatopoeia“It's humid (sticky) and hot, isn't it?”[00:07]Hello everyone. How are you doing? We will practice onomatopoeia today. Please try also JS 90.Note: オノマトペ =  A word that expresses various states and movements with sound, including a sensory expression, although the sound is not actually heard.Even the same onomatopoeia has different meanings depending on the context; e.g. “peko peko” could mean 1) “very hungry”, or 2) “be very humble” or “touch one's forelock” = “He apologized humbly. / He apologized over and over again.”[00:18]First, let's do on weather. How is the weather? Listen to the onomatopoeia ♫, then repeat the sentence.Repeat after me[00:27]1. za-za-→ It's pouring.2. para para→ It's sprinkling.3. byu-byu-→ The wind is blowing/wuthering.4. poka poka→ It's warm and feel nice.5. mushi mushi→ it's muggy / very humid.[01:34]It's really muggy in summer in Japan. I will get sweaty![01:43]Now, make a sentence using the hints.For example,It rained really heavily yesterday, didn't it?[hint] indeed, za-za-→ Indeed, it was pouring.Ready?[02:01]1. It's hot today again, isn't it?[hint] indeed, mushimushi→  Indeed, it's muggy.2. Spring has come. What a pleasant weather.[hint]   indeed, pokapoka→  Indeed. It's warm and feel nice.3. It was so windy yesterday.[hint]   byu-byu-→ It was wuthering, wasn't it?4. Is it raining there?[hint]   yes, za-za-→ Yes, it's pouring.5. Is it raining there?[hint]   yes, but, para para→ Yes, but it's just drizzling.[03:51]It's just drizzling at the moment, so let's go home before it turns into heavy rain.=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=「ムシムシあついですね」[00:07]みなさん、こんにちは。おげんきですか。きょうは、オノマトペ*を れんしゅうします。JS 90 もやってみてください。[00:18]まずてんきです。どんなてんきですか。♫オノマトペをきいて、それから、ぶんをリピートしてください。Repeat after me[00:27]1. ザーザーあめが ザーザー ふっています。2. パラパラあめが パラパラふっています。3. ビュービューかぜが ビュービュー ふいています。4. ぽかぽかぽかぽかしてきもちいいです。5. ムシムシきょうも あついですね。ムシムシしますね。[01:34]にほんのなつは ムシムシするんです。あせでびっしょりです！[01:43]では、ヒントを つかって ぶんを つくってください。たとえば、きのうの あめは すごかったですね。[hint] そうですね、ザーザー→ そうですね。ザーザーでしたね。いいですか。[02:01]1. きょうも あついですね。[hint]そうですね、ムシムシ→ そうですね。ムシムシしますね。2. はるですね。いいてんきですね。[hint] そうですね、ポカポカ→ そうですね。ポカポカですね。3. きのうの かぜは すごかったですね。[hint] ビュービュー→ ビュービューでしたね。4. そちらは、あめが ふっていますか？[hint]はい、ザーザー→ はい、ザーザーふっています。5. そちらは、あめが ふっていますか？[hint] はい、でも、パラパラ→ はい、でも パラパラです。[03:51]いま、あめは パラパラなので、ザーザーになるまえに うちにかえりましょう。Support the show=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=Need more translation & transcript? Become a patron: More episodes with full translation and Japanese transcripts. Members-only podcast feed for your smartphone app. Japanese Swotter on PatreonNote: English translations might sound occasionally unnatural as English, as I try to preserve the structure and essence of the original Japanese.

ReferencesPharmacological Reviews.2011.NOV.64(1):166-87Hepatology.2023 Feb 9;78(3):878–895.Sci Rep. 2015 Sep 30;5:14692Bach, JS. 1734. Christmas Oratories BV 248.https://music.youtube.com/watch?v=98UjjwzJBFE&si=kd45twdzgpXtJuWL

No 3 em 1 desta sexta-feira (05), o destaque foi a confirmação da candidatura do senador Flávio Bolsonaro (PL) à Presidência da República. O anúncio foi feito nas redes sociais após indicação do ex-presidente Jair Bolsonaro (PL) em conversa com aliados. Além disso, o ministro Alexandre de Moraes autorizou que Flávio visite o pai na próxima terça-feira (09) na Superintendência da Polícia Federal. Reportagem: Misael Mainetti e Beatriz Manfredini. O Centrão rejeitou o nome de Flávio Bolsonaro como candidato à Presidência. Nos bastidores, líderes do bloco afirmam que não irão apoiar nenhum familiar do ex-presidente Jair Bolsonaro, vetando a sucessão pelo clã. Reportagem: Victoria Abel e Beatriz Manfredini. O presidente do PL, Valdemar Costa Neto, endossou oficialmente a candidatura de Flávio Bolsonaro e reforçou que segue a palavra de Jair Bolsonaro: “Se Bolsonaro falou, está falado!”. Reportagem: Beatriz Manfredini. O deputado Eduardo Bolsonaro (PL), ainda nos Estados Unidos, se pronunciou em inglês sobre a candidatura do irmão. O governador de Goiás, Ronaldo Caiado (União Brasil), disse respeitar a decisão, mas reiterou sua própria pré-candidatura “para tirar o PT do poder”. Já Sóstenes Cavalcante (PL) declarou apoio a Flávio em 2026. A ex-primeira-dama Michelle Bolsonaro manifestou apoio público ao senador, repostando uma publicação do PL e desejando que Deus o abençoe em sua “nova missão pelo país”. Reportagem: Misael Mainetti. Tudo isso e muito mais você acompanha no 3 em 1. Learn more about your ad choices. Visit megaphone.fm/adchoices

Die vierfache Mutter Sylvie wagt einen mutigen Neuanfang: Gemeinsam mit ihrer neuen Liebe Eckhard zieht sie in ein Haus in Nürnberg. Ein Schritt voller Vertrauen, Zuversicht und der Hoffnung auf ein schöneres Leben. Doch als sie einer Freundin in einer akuten Notsituation hilft und sie als Mitbewohnerin aufnimmt, beginnt sich der zunächst harmonische Alltag zu verdunkeln. Aus einer Geste der Solidarität entsteht schleichend ein Klima aus Misstrauen, unterschwelliger Anspannung und wachsender Bedrohung, das schließlich in einer Tragödie endet. In dieser Folge von „Mordlust – Verbrechen und ihre Hintergründe“ geht es um eine Geschichte, die eindringlich daran erinnert, wie wichtig es ist, der eigenen Intuition zu vertrauen und wie psychische Erkrankungen sowohl die Betroffenen selbst als auch ihr unmittelbares Umfeld aus dem Gleichgewicht bringen können. Expertin dieser Folge ist Dr. Nahlah Saimeh, forensische Psychiaterin, Gutachterin und Professorin an der Friedrich-Schiller-Universität Jena. **Credit** Produzentinnen/ Hosts: Paulina Krasa, Laura Wohlers Redaktion: Paulina Krasa, Laura Wohlers, Simon Garschhammer Schnitt: Pauline Korb Rechtliche Abnahme: Abel und Kollegen **Quellen (Auswahl)** Landgericht Nürnberg-Fürth: Urteil vom 07. Oktober 2022, 5 Ks 104 Js 2462-21 SWR: https://t1p.de/o22dv **Hinweise für Betroffene und Angehörige von Betroffenen** Sozialpsychiatrische Dienste (bundesweit, gibt es in jeder größeren Stadt beim Gesundheitsamt): https://www.bapk.de/sozialpsychiatrischer-dienst.html Bundesverband der Angehörigen psychisch erkrankter Menschen e.V. (BApK) mit "SeeleFon"-Beratung für Angehörige: https://www.bapk.de Caritas Beratungsstellen für psychische Gesundheit und Krisenintervention: https://www.caritas.de/hilfeundberatung Selbsthilfegruppen Schizophrenie: https://www.gesundheitsinformation.de/selbsthilfe-bei-schizophrenie.html **Partner der Episode** Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte: https://linktr.ee/Mordlust Du möchtest Werbung in diesem Podcast schalten? Dann erfahre hier mehr über die Werbemöglichkeiten bei Seven.One Audio: https://www.seven.one/portfolio/sevenone-audio

ReferencesJ Neurophysiol. 1993 Aug;70(2):742–757.J Clin Immunol. 2025 Oct 1;45(1):141. Front Immunol. 2025 Sep 4;16:1660161.Guerra, DJ.2025.Unpublished LecturesJ Physiol. 2016 May 29;594(20):5791–5815Bach, JS 1717- 1723. Violin Concerti E, D A and Ghttps://music.youtube.com/playlist?list=OLAK5uy_lmUKX_Xp0OkaA5DCja6iviqbI7z28pW68&si=6rqmiT-6Ng64Tb7M

Hoje o papo é sobre Node.JS! Neste episódio, mergulhamos em um papo sobre aquele nome que está por trás de algumas das principais ferramentas utilizadas no mercado atualmente, inclusive quando o assunto é IA. Vem ver quem participou desse papo: André David, o host que fala de tecnologias que estão por todas as partes Vinny Neves, Líder de Front-End na Alura Juliana Amoasei, Desenvolvedora JavaScript e Instrutora da Alura Monica Craveiro, Desenvolvedora Back-End

ReferencesGuerra, DJ.2025 Unpublished LecturesPLoS Genet. 2011. 7(12): e1002427. JLR . 2020. V. 61, Issue 12, December:1675-1686Bach, JS.1739. Duets 802-805https://music.youtube.com/watch?v=9tQn5bTE5K4&si=gntLhJ2tkafnd3Q_Couperin, F 1722. Sonata in C-Minorhttps://music.youtube.com/watch?v=eSzJTaev-zA&si=lAM5IcmRTvRXgpneHopkins, N. 1969. Edward the Mad Shirt Grinder. QMShttps://music.youtube.com/watch?v=iJBPlmqQ2DY&si=JhuiTun58fP5J61f

Triggerwarnung: In dieser Folge geht es um Suizid und sexualisierte Gewalt, auch gegen Jugendliche. Christiane ist in ihrer kleinen norddeutschen Gemeinde bekannt wie ein bunter Hund. Ihre Töpferkunst fertigt sie mit viel Herzblut an und lässt sich bei ihren geliebten Spaziergängen immer wieder von der Natur inspirieren. Gemeinsam mit ihrem Sohn und ihrem Bruder wandert sie eines Winters über frostüberzogene Wiesen und Feldwege – bis sie plötzlich zusammenbricht und keinen Schritt mehr gehen kann. Eine folgenschwere Diagnose bestimmt fortan ihren Alltag. Unverhofft tritt wenig später Holger in ihr Leben. Zunächst lindert er durch Akupunktur ihre Schmerzen, doch schon bald wird er zum Mittelpunkt ihres Lebens. Holger eröffnet schon bald seine eigene Naturheilkundepraxis in Christianes Haus – ein Ort, der einige Jahre später wegen eines grausamen Verdachts komplett auf den Kopf gestellt wird. Was dabei ans Licht kommt, ist ein menschlicher Abgrund, der gleich mehrere Opfer in die Tiefe gerissen hat. In dieser Folge von „Mordlust – Verbrechen und ihre Hintergründe“ geht es um ein über Jahre hinweg sorgfältig aufgebautes Lügenkonstrukt, das wohl niemals aufgeflogen wäre – hätte nicht eine Person ihr Schweigen gebrochen und damit alles zum Einsturz gebracht. **Credit** Produzentinnen/ Hosts: Paulina Krasa, Laura Wohlers Redaktion: Paulina Krasa, Laura Wohlers, Marisa Morell Schnitt: Pauline Korb Rechtliche Abnahme: Abel und Kollegen **Quellen (Auswahl)** Urteil Landgericht Flensburg vom 12.06.2024 - Aktenzeichen I Ks 106 Js 19856/22 Spiegel: https://t1p.de/2xp2h sh:z: https://t1p.de/f9rlw NDR: https://t1p.de/yb2jh **Partner der Episode** Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte: https://linktr.ee/Mordlust Du möchtest Werbung in diesem Podcast schalten? Dann erfahre hier mehr über die Werbemöglichkeiten bei Seven.One Audio: https://www.seven.one/portfolio/sevenone-audio

Topics covered in this episode: httptap 10 Smart Performance Hacks For Faster Python Code FastRTC Explore Python dependencies with pipdeptree and uv pip tree Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: httptap Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output. Features Phase-by-phase timing – precise measurements built from httpcore trace hooks (with sane fallbacks when metal-level data is unavailable). All HTTP methods – GET, POST, PUT, PATCH, DELETE, HEAD, OPTIONS with request body support. Request body support – send JSON, XML, or any data inline or from file with automatic Content-Type detection. IPv4/IPv6 aware – the resolver and TLS inspector report both the address and its family. TLS insights – certificate CN, expiry countdown, cipher suite, and protocol version are captured automatically. Multiple output modes – rich waterfall view, compact single-line summaries, or -metrics-only for scripting. JSON export – persist full step data (including redirect chains) for later processing. Extensible – clean Protocol interfaces for DNS, TLS, timing, visualization, and export so you can plug in custom behavior. Example: Brian #2: 10 Smart Performance Hacks For Faster Python Code Dido Grigorov A few from the list Use math functions instead of operators Avoid exception handling in hot loops Use itertools for combinatorial operations - huge speedup Use bisect for sorted list operations - huge speedup Michael #3: FastRTC The Real-Time Communication Library for Python: Turn any python function into a real-time audio and video stream over WebRTC or WebSockets. Features

J.M. Smucker is suing Trader Joe's over trademark infringement, accusing the company of copying its pre-made Uncrustables peanut-butter and jelly sandwiches. WSJ's Jesse Newman explores the battle over PB&Js is part of a broader anxiety for Big Food over the rise of private-label products. Ryan Knutson hosts. Further Listening:- Food Fight: PepsiCo vs. Carrefour- Kraft Heinz's Big BreakupSign up for WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Everybody loves to see a classic Phil Hellmuth blow up at the poker table. During PokerGO's No Gamble, No Future, Alan Keating tries his best to wind up Hellmuth by showing him one of his cards on the river. Hellmuth has a set of kings on a very unfavorable runout and has to decide whether Keating's other card is the nuts or nothing. Phil Hellmuth is in a world of pain, but will he come to the right decision or will we see another epic Hellmuth tirade? When deciding whether or not to bet your hand, it is important to consider the type of opponent you are up against. Against weak passive players, you can bet more often with marginal made hands, since you can comfortably fold when they show aggression. However, if you are facing a loose aggressive opponent who is likely to put you in difficult spots when you bet, it is often better to exercise pot control and check back instead. Phil Hellmuth ‘The Poker Brat' has won over $30,700,000 in live poker tournaments putting him in the top 100 on the all time money list. Hellmuth has 17 World Series of Poker (WSOP) bracelets which is currently the most that any poker player has won! Hellmuth is very well known for his antics and outbursts at the poker table which is why he is known as ‘The Poker Brat'. Since 2006, Hellmuth has played on 195 live streamed cash games and has lost over $800,000. Alan Keating is a well known high stakes cash game poker player often playing in the biggest live cash games and private poker games around the world. Keating has become more of a regular on the Hustler Casino Live stream. He is extremely popular amongst poker fans partly due to the fact that he wins and loses millions of dollars whilst always carrying a smile on his face! Keating has been seen associating with poker celebrities such as Dan Bilzerian. Since 2019, Alan has played over 51 live streamed cash games and has won over $350,000. No Gamble, No Future is an American poker television program that airs on PokerGO, and premiered on August 1, 2022. The poker show provides cash game-focused entertainment with a variety of stakes and poker players. It has featured players such as Phil Hellmuth ‘The Poker Brat', Andrew Robl ‘good2cu', Eric Persson, Patrick Antonius ‘The Finn', Matt Berkey, Nik Airball, Rampage Poker, Wolfgang Poker, and Daniel Negreanu ‘DNegs' ‘KidPoker'. Preflop:Ryan Feldman raises with 76 of spades under the gun to $2,000 with Phil Hellmuth opting to just flat call with pocket kings in the cutoff. Nik Airball calls from the button with 65o before Alan Keating calls out of the small blind holding A7o, with the very key ace of diamonds. Brett Hanks defends the big blind with K8o, and they head to the flop five ways. Flop – Js 8d 4d:Keating checks first with a backdoor flush draw and backdoor straight draw before Hanks fires out $6,000 with second pair. Feldman calls with a gutshot and a backdoor flush draw. Hellmuth calls with his cowboys, which are the second best overpair to the board. Airball folds his gutshot, but Keating calls with what is currently ace high. Turn – 3d:The three of diamonds on the turn brings in the flush. Keating, who holds the nut flush blocker checks, and Hanks chooses to check with his pair of eights. Feldman also checks before Hellmuth slides out a bet of $10,000 with his two kings. Keating calls with his draw to the nuts, but Hanks and Feldman fold. River – Kd:Heads up to the king of diamonds river, as Keating has now improved to the nut flush! Keating puts Hellmuth all in for $57,400, which is just over the size of the pot. While Hellmuth is tanking, Keating shows the seven of clubs. Will this play help Keating to get paid by The Poker Brat, or will the 17 time World Series of Bracelet (WSOP) winner be able to use his white magic and lay down top set? Stay tuned to the end of this poker video to find out. Jonathan Little analyzes live poker hands from TV poker shows such as Poker After Dark, Hustler Casino Live, The Lodge Poker Club & PokerGO. He also analyzes popular poker vloggers such as Rampage Poker, Brad Owen, Jaman Burton, Ashley Sleeth, Wolfgang Poker and others! You will also find many poker hands on this channel that contain some of the biggest names in the poker world such as; Daniel Negreanu, Phil Hellmuth, Phil Ivey, Doug Polk, Garrett Adelstein, Tom ‘Durrrr' Dwan, Dan ‘Jungleman' Cates, Fedor Holz & many more! pokerstrategy #pokergo #highstakespoker The post WPH #586: Phil Hellmuth In A WORLD of PAIN!!!!! first appeared on Jonathan Little.

Im Herbst ihres Lebens finden Alois und Sybille ihren zweiten Frühling. Über ein Online-Dating-Portal lernen sich die beiden Rentner:innen 2011 kennen - und innerhalb kürzester Zeit lieben. Die 67-jährige Sybille lässt ihr Leben in Berlin hinter sich und zieht zu dem 75-jährigen Alois nach München, doch nach wenigen Jahren weichen die Schmetterlinge im Bauch der alltäglichen Routine. Streitigkeiten treten immer häufiger auf - es geht um Kleinigkeiten wie der Wohnungseinrichtung, aber auch existenzielle Dinge wie Geld. Alois fühlt sich immer mehr ausgenutzt und Sybille immer mehr eingeschränkt, bis sich die anfangs so Verliebten immer öfter denken: Wie komme ich nur aus dieser Ehe wieder raus? In dieser Folge von “Mordlust – Verbrechen und ihre Hintergründe” nehmen wir einen Fall unter die Lupe, der zeigt, wie aus jahrelanger Liebe der größte Verrat entspringen kann. Ein Fall voller Heimtücke, Intrigen und einer überraschenden Zeugin, die am Ende den entscheidenden Beweis bringt. Experte in dieser Folge ist Prof. Dr. Fritz Pragst, Chemiker und langjähriger Leiter der Abteilung Forensische Toxikologie an der Charité Berlin. **Credit** Produzentinnen/ Hosts: Paulina Krasa, Laura Wohlers Redaktion: Paulina Krasa, Laura Wohlers, Simon Garschhammer Schnitt: Pauline Korb Rechtliche Abnahme: Abel und Kollegen **Quellen (Auswahl)** Landgericht München, Urteil vom 23. Mai 2019, 2 Ks 127 Js 153106/18 Süddeutsche Zeitung: https://t1p.de/j7an7 Süddeutsche Zeitung:https://t1p.de/mulw1 Bild: https://t1p.de/kqcml **Partner der Episode** Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte: https://linktr.ee/Mordlust Du möchtest Werbung in diesem Podcast schalten? Dann erfahre hier mehr über die Werbemöglichkeiten bei Seven.One Audio: https://www.seven.one/portfolio/sevenone-audio

Natalia und Pascal wünschen sich sehnsüchtig eine gemeinsame Tochter. Es dauert Jahre, aber dann kann das Ehepaar endlich ein kleines Mädchen in seinen Armen wiegen. Doch der Beginn eines neuen Lebens ist auch mit einem Ende verknüpft, denn kurz darauf wird in der Nähe eine verbrannte Frauenleiche gefunden. Als die Polizei zu ermitteln beginnt, ahnt niemand, in welchen menschlichen Abgründen sie bald graben wird. In dieser Folge von “Mordlust – Verbrechen und ihre Hintergründe” geht es um einen aktuellen Fall, der deutschlandweit große Wellen geschlagen hat, da er offenbart, was Menschen bereit sind zu tun, um sich ihren Kinderwunsch zu erfüllen. Expert:innen in dieser Folge sind Nebenklageanwalt Thomas Franz, Sprecher vom Polizeipräsidium Mannheim Stefan Wilhelm und Dr. Catrin Mautner, Fachärztin für Psychiatrie und Psychotherapie sowie Mitglied im Beratungsnetzwerk Kinderwunsch Deutschland **Credit** Produzentinnen/Hosts: Paulina Krasa, Laura Wohlers Redaktion: Paulina Krasa, Laura Wohlers, Magdalena Höcherl Schnitt: Pauline Korb Rechtliche Abnahme: Abel und Kollegen **Quellen (Auswahl)** Urteil 1 Ks 200 Js 8070/24 Süddeutsche: https://t1p.de/0of3t FAZ: https://t1p.de/dbyy3 SWR: https://t1p.de/swrt2 beck-aktuell: https://t1p.de/jmnum **Partner der Episode** Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte: https://linktr.ee/Mordlust Du möchtest Werbung in diesem Podcast schalten? Dann erfahre hier mehr über die Werbemöglichkeiten bei Seven.One Audio: https://www.seven.one/portfolio/sevenone-audio

Mario Forster hat kriminelle Energie in sich, daran gibt es keinen Zweifel. Immer wieder hat er in der Vergangenheit gestohlen, betrogen, unterschlagen und Hehlerware verkauft. Als er 2009 nach einer dreijährigen Haftstrafe die JVA Memmingen verlässt, interessiert ihn vor allem eins: Wie kann er möglichst schnell an viel Geld kommen? Ausgerechnet das LKA Bayern liefert ihm eine Antwort. Mario soll künftig für sie arbeiten und das nicht trotz, sondern gerade wegen seiner kriminellen Vergangenheit. Mario willigt ein, ohne zu ahnen, dass er sich damit auf ein doppeltes Spiel einlässt, aus dem er als Verlierer hervorgehen wird. Achtung, top secret: In dieser Folge von Mordlust – Verbrechen und ihre Hintergründe sprechen wir über Vertrauenspersonen, auch V-Leute genannt, die als Informant:innen der Polizei in kriminellen Gruppen und Milieus unterwegs sind um dort Informationen über vergangene oder geplante Straftaten zu sammeln. Warum entscheiden sich Menschen für diesen gefährlichen Job, der immer mit Verrat einhergeht? Wie hilfreich sind ihre Einblicke? Und wie weit darf der Staat für den Erfolg eines Einsatzes gehen? All das erfahrt ihr in dieser Episode. Experten in dieser Folge: Klaus Nachtigall, ehemaliger Berliner LKA-Ermittler und Polizeioberkommissar sowie Strafverteidiger Alexander Schmidtgall **Credit** Produzentinnen/ Hosts: Paulina Krasa, Laura Wohlers Redaktion: Paulina Krasa, Laura Wohlers, Jennifer Fahrenholz Schnitt: Pauline Korb Rechtliche Abnahme: Abel und Kollegen **Quellen (Auswahl)** Landgericht Nürnberg-Fürth, Urteil vom 27.07.2018, 300 Js 12538/14 13 KLs 2 Ss 29/19 Zeit Magazin: “Forster fühlt sich verraten”: https://t1p.de/7953n Die Zeit: “Die Rache des V-Mannes”: https://t1p.de/f90m6 Spiegel: “Wie eine Ratte”: https://t1p.de/ti10t SWR: “V-Leute - Die zwielichtigen Helfer des Rechtsstaats”: https://t1p.de/5fdhu **Partner der Episode** Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte: https://linktr.ee/Mordlust Du möchtest Werbung in diesem Podcast schalten? Dann erfahre hier mehr über die Werbemöglichkeiten bei Seven.One Audio: https://www.seven.one/portfolio/sevenone-audio