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Latent Space: The AI Engineer Podcast â€” CodeGen, Agents, Computer Vision, Data Science, AI UX and all things Software 3.0

Play Episode Listen Later Feb 19, 2026 109:00

做海外演出这行，远比想象中难！现场舞台都搭建好了，结果临时通知演出取消；明明不赚钱的演出，却还要背上各种骂名；防黑粉、防黄牛还要步步为营；而僵持的中日关系也给文化演出行业带来了巨大震荡。“闪千手”创始人张然在节目中揭露了海外演出行业的真实困境与坚守，尽管演出事业频遭重创，但总有那些温暖瞬间，支撑他和他的团队继续前行。乐队演出背后有哪些不为人知的搞笑八卦？你感兴趣的海外乐队多久来华演出？当今音乐演出市场又是什么情况呢？快来和划水怪一起，打开“闪千手”的世界。更多精彩内容，欢迎收听本期节目~主播 / 相征嘉宾 / 张然音频后期 / 陆凯BBBBUDDHA音频上传 / 恬恬-本节目由深夜谈谈 Midnight Network出品 -Timeline:00:02:02 老朋友张然老师来啦00:10:16 先聊聊闪千手00:16:06 美波北京站演出被取消前后发生了什么00:24:04 大家都误会主办方了00:42:45 面对取消，内心很无力00:52:12 音乐演出行业投入产出比01:00:57 演出前，主办方的压力是巨大的 01:17:21 有一期节目拉黑了300多人01:20:30 让人落泪又委屈的难忘现场01:29:40 乐队的搞笑趣事01:42:52 Kerala Dust - Pulse VI01:44:57 彩蛋小故事大内夜市近期上新！大内人气玄学嘉宾张无梦为女性量身打造4款文玩手串，旺金财运、金玉良缘、扶摇直上、顺遂安然，电子木鱼弱爆了！物理配饰积功德，玄学朋克，硬核转运！微信搜索「大内夜市」即可购买！深夜谈谈招聘啦，本次开放岗位全职：1、电商&旅行运营 2、商务BD&AE全职或兼职：视频编导感兴趣的朋友们请发送求职信+简历+个人作品请发送至邮箱jobs@midnightalks.com深夜谈谈播客网络旗下播客：大内密谈、枕边风、空岛、随便聪明、淮海333-你还可以在这里找到我们：小红书：@深夜谈谈、@相征terry、@miyaB站：@大内密谈midnightalks视频号&抖音：@深夜谈谈微博：@大内密谈微信公众号：大内密谈商务合作邮箱：biz@midnightalks.com加听众群：加深夜谈谈子微信（微信号:SYTT-midnightalks）并回复【听众群】即可进群。

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Bitter Lessons in Venture vs Growth: Anthropic vs OpenAI, Noam Shazeer, World Labs, Thinking Machines, Cursor, ASIC Economics — Martin Casado & Sarah Wang of a16z

Play Episode Listen Later Feb 19, 2026 55:18

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

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TRP 298: How to Fit BD Into your Already Hectic Schedule with Eva Wisnik

Staffing & Recruiter Training Podcast

Play Episode Listen Later Feb 19, 2026 25:34

Episode 298 of The Rainmaking Podcast features Scott Love in conversation with Eva Wisnik on how to fit business development into an already hectic schedule—especially for busy law firm partners and associates. Eva explains that many lawyers are trained to “issue spot” (anticipate what can go wrong), which is great for client service but can sabotage rainmaking unless it's replaced with an opportunity-focused mindset. She reframes BD as “selling through substance”: asking better questions, showing genuine curiosity, and positioning outreach as problem-solving rather than “sales.” Her core message is that most BD resistance is fear (rejection, failure, imposing), and the antidote is shifting from self-focused thinking to client-centered value. Eva then gets tactical: build a pipeline by staying in touch with intent and consistency, because meaningful business relationships often take 2–5 years to convert. She recommends simple, repeatable habits—“one action a day” (send a thoughtful note, share a relevant article, set a meeting, register for a conference), plus tracking micro-actions to build momentum. Practical examples include handwritten notes, small meaningful gifts, and “thinking of you” outreach tied to something useful. Her three action steps: look backward to identify the clients/relationships you most enjoy and then find more like them, take one BD action daily, and track those actions as wins so the process stays sustainable and you maintain control of your career. Visit: https: //therainmakingpodcast.com/ YouTube: https://youtu.be/VT4jwamTMtI ----------------------------------------

Season 9 | Ep18 Peter Kornberg: How a Non-Recruiter Built $1M+ Revenue 15 years in a row (with Just 6 People)

The RAG Podcast - Recruitment Agency Growth Podcast

Play Episode Listen Later Feb 18, 2026 56:25

Peter Kornberg: How a Non-Recruiter Built $1M+ Revenue 15 years in a row (with Just 6 People)Peter Kornberg never worked a day as an agency recruiter.He worked in Advertising and Marketing and became a Chief Digital Officer.He ran a product design agency in New York City. Clients started asking for talent they couldn't afford to engage the agency for. So Peter said: "We can provide you some people."That was 15 years ago.What started as an ad hoc favour became UX Hires -a staffing and recruitment firm that's done $1M+ in revenue every single year since (with a team of six).But it wasn't always lean and profitable.In 2021, they had 60 open roles. A full team of employees. An expensive New York City office. Peter hired a leader to run the recruitment business."He didn't bring in any business. He wasn't particularly effective at managing," Peter admits."Didn't really fulfil that potential."They were grinding. Burning out. Taking on everything that came through the door."We didn't effectively weigh the roles that came in as we saw everything as money. Everything was opportunities. So we just went for everything."The team wasn't profitable, this model wasn't working.So Peter stripped it back.He kept only his best recruiters and sourcers. People who could deliver exceptional outcomes regardless of market conditions. No 360 recruiters, only delivery consultants with him focusing on winning all new business."Really focus on people that can deliver great outcomes," he says. "I can handle the rest around that, which is client relationships."But here's what makes Peter different.He split his team between sourcing and recruiting. Sourcers find people; that's all they do. Recruiters manage clients and placements. It's all relationship-based building.60% of his revenue now comes from contract and he's rebuilt his entire approach to work: "I could probably get more done in five hours of really productive work than 15 hours of grinding away and burning out."He doesn't believe in “hustle culture” and he's not trying to build an empire. He's quietly built a sustainable, profitable role business that gives him his life back.We cover:- Why never being a recruiter became his biggest advantage- The 60-role mistake that nearly broke the business- How he rebuilt around just 6 people and hit $1M+ consistently- The split desk model (and why he refuses 360 recruiters)- Why 60% contract revenue changed everything- The failed leader hire (and why BD roles are so hard to delegate)- Time blocking and the 5-hour productivity principle- How AI is reshaping UX and product design recruitmentThis isn't about scaling fast or an exit strategy.It's about a non-recruiter who stumbled into being a recruiter, nearly burned out chasing growth, and rebuilt a million-dollar business around what actually works: small team, high margins, client relationships.No investment decks and growth-at-all-costs. Just profitability and freedom.If you've ever wondered whether you can build a 7-figure recruitment business without the complexity, the burn-out, or the endless headcount - this episode will help!__________________________________________Episode Sponsor: Remote RecruitmentHiring shouldn't be slow, stressful, or expensive. That's why there's Remote Recruitment — the smart hiring partner for modern businesses.They don't just help you find great people. They help you access elite South African talent that's ready to deliver. No PAYE. No NI. No bloated overheads. Just trained, remote professionals who integrate seamlessly into your team.Their process handles everything: sourcing, shortlisting, onboarding, and retention. Fully managed. Fully supported. Fully remote.And now, Remote Recruitments has entered a new...

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Une histoire de l'exploration des volcans Relié – Arnaud Guérin

Timeline (5.000 ans d'Histoire)

Play Episode Listen Later Feb 17, 2026 41:29

Une plongée historique et illustrée dans le monde fascinant des volcans, de leurs études et de leur exploration.Sources de fascination, divinités, forces surnaturelles craintes et vénérées, éruptions destructrices et régénératrices, sujets centraux de recherches scientifiques et d'expéditions, les volcans n'ont eu de cesse de marquer l'histoire des hommes. Des premières éruptions remontant aux balbutiements de l'humanité aux derniers évènements volcaniques meurtriers, en passant par les éruptions mythiques de Pompéi, du Krakatoa ou encore du mont Saint Helens, partez au plus près des cratères et de la vie tellurique de notre planète. Revivez les éruptions historiques de plus puissantes forces de la nature.Une histoire de l'exploration des volcans s'attache à décrypter les volcans et les éruptions qui ont marqué l'histoire et leurs conséquences – de la naissance d'une île à la destruction totale de villes –, à raconter ceux et celles qui leur ont dédié leur vie – scientifiques, explorateurs –, et de montrer leurs influences dans la culture mondiale à travers une iconographie riche et d'archives depuis la Préhistoire jusqu'à nos jours.L'auteur, Arnaud Guérin, est notre invitée en studioHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

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Stop Chasing Bad Bids: The No-Go Playbook for Government Contractors

FedBiz'5

Play Episode Listen Later Feb 17, 2026 11:26 Transcription Available

Send a textIn this episode of FedBiz'5, we tackle one of the most costly problems in government contracting: chasing the wrong opportunities. Small and medium sized businesses rarely lose because they cannot do the work. They lose because they burn precious time and proposal dollars on bids that were never a strong fit to begin with.You will learn a practical No-Go playbook you can run in 15 to 30 minutes on any opportunity. We walk through hard red flags like unclear scope, unrealistic timelines, hidden budget traps, stacked incumbency, weak past performance fit, and proposals that demand more effort than the payoff is worth. You will also hear how to separate true No-Go opportunities from smart "Not Yet" calls that you can revisit when key triggers change.If your team feels exhausted from constant proposal work with too few wins to show for it, this episode will help you build a simple, disciplined qualification framework so you can protect your time, focus on the right bids, and improve your win rate without hiring a bigger BD team.Visit us: FedBizAccess.com Stay Connected: Follow Us on Facebook Follow Us on LinkedIn Need help in the government marketplace? Call a FedBiz Specialist today: 844-628-8914 Or, schedule a complimentary consultation at your convenience.

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Ichi The Witch, l'ère des chasseurs est-elle de retour ? – La 5e de Couv – #5DC – Saison 11 épisode 23

Manga Tv - Podcast - La 5e de couv'

Play Episode Listen Later Feb 17, 2026 61:52

Cette semaine, on va parler d'un titre très attendu qui débarque aux éditions Ki-oon : Ichi The Witch. Un blockbuster annoncé qui arrive avec des chiffres solides, une communication bien huilée et un lancement en... L'article Ichi The Witch, l'ère des chasseurs est-elle de retour ? – La 5e de Couv – #5DC – Saison 11 épisode 23 est apparu en premier sur La 5e de Couv' - Le podcast de débat autour du manga !.

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Spawn : une histoire en comics (et pas que) [Thématique]

Play Episode Listen Later Feb 17, 2026 152:09

En 2026, les podcasts thématiques reprendront de plus belle ! Fort de deux longues émissions sur Daredevil et James Gunn produites l'an dernier, nous n'attendons pas l'été pour revenir dès à présent avec ce podcast spécial autour de Spawn, un personnage à qui nous avions envie de rendre hommage depuis pas mal de temps. La création de Todd McFarlane est un monument de la bande dessinée en creator owned et nous avons réuni des gens bien passionnés pour en parler avec nous !Un long podcast de présentation de SpawnPour cette émission extra-longue, nous avons accueilli autour de nous Thierry Mornet, directeur de collection chez Delcourt et éditeur de Spawn en France depuis de nombreuses années, Frédérick Sigrist, animateur de l'émission Spin-off pour la plateforme Studio 17, ainsi que Fabrice Fadiga, chargé de communication au groupe d'édition Bamboo - et grand passionné de comics lui aussi. Nous revenons sur la genèse du personnage, le parcours de son créateur, ainsi que la façon dont l'univers de Spawn s'est considérablement étendu en comics... sans pour autant qu'il ne réussisse à devenir la méga-franchise cinéma que McFarlane souhaiterait. On espère que ce long-format vous plaira !Et si ce type d'émission, qui nous demande le plus de travail (tant dans la préparation que pour pouvoir réunir tous nos intervenants) vous plaît, alors ne manquez pas de le faire savoir et de nous soutenir en partageant le podcast, en en parlant autour de vous, et pourquoi pas en nous soutenant sur Tipeee. Très bonne écoute à vous et à bientôt pour le prochain podcast.Soutenez First Print - Votre podcast comics (& BD) préféré sur TipeeeHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

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LCC 337 - Datacenters Carrier Class dans l'espace

Les Cast Codeurs Podcast

Play Episode Listen Later Feb 16, 2026 94:19

Emmanuel et Guillaume discutent de divers sujets liés à la programmation, notamment les systèmes de fichiers en Java, le Data Oriented Programming, les défis de JPA avec Kotlin, et les nouvelles fonctionnalités de Quarkus. Ils explorent également des sujets un peu fous comme la création de datacenters dans l'espace. Pas mal d'architecture aussi. Enregistré le 13 février 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-337.mp3 ou en vidéo sur YouTube. News Langages Comment implémenter un file system en Java https://foojay.io/today/bootstrapping-a-java-file-system/ Créer un système de fichiers Java personnalisé avec NIO.2 pour des usages variés (VCS, archives, systèmes distants). Évolution Java: java.io.File (1.0) -> NIO (1.4) -> NIO.2 (1.7) pour personnalisation via FileSystem. Recommander conception préalable; API Java est orientée POSIX. Composants clés à considérer: Conception URI (scheme unique, chemin). Gestion de l'arborescence (BD, métadonnées, efficacité). Stockage binaire (emplacement, chiffrement, versions). Minimum pour démarrer (4 composants): Implémenter Path (représente fichier/répertoire). Étendre FileSystem (instance du système). Étendre FileSystemProvider (moteur, enregistré par scheme). Enregistrer FileSystemProvider via META-INF/services. Étapes suivantes: Couche BD (arborescence), opérations répertoire/fichier de base, stockage, tests. Processus long et exigeant, mais gratifiant. Un article de brian goetz sur le futur du data oriented programming en Java https://openjdk.org/projects/amber/design-notes/beyond-records Le projet Amber de Java introduit les "carrier classes", une évolution des records qui permet plus de flexibilité tout en gardant les avantages du pattern matching et de la reconstruction Les records imposent des contraintes strictes (immutabilité, représentation exacte de l'état) qui limitent leur usage pour des classes avec état muable ou dérivé Les carrier classes permettent de déclarer une state description complète et canonique sans imposer que la représentation interne corresponde exactement à l'API publique Le modificateur "component" sur les champs permet au compilateur de dériver automatiquement les accesseurs pour les composants alignés avec la state description Les compact constructors sont généralisés aux carrier classes, générant automatiquement l'initialisation des component fields Les carrier classes supportent la déconstruction via pattern matching comme les records, rendant possible leur usage dans les instanceof et switch Les carrier interfaces permettent de définir une state description sur une interface, obligeant les implémentations à fournir les accesseurs correspondants L'extension entre carrier classes est possible, avec dérivation automatique des appels super() quand les composants parent sont subsumés par l'enfant Les records deviennent un cas particulier de carrier classes avec des contraintes supplémentaires (final, extends Record, component fields privés et finaux obligatoires) L'évolution compatible des records est améliorée en permettant l'ajout de composants en fin de liste et la déconstruction partielle par préfixe Comment éviter les pièges courants avec JPA et Kotlin - https://blog.jetbrains.com/idea/2026/01/how-to-avoid-common-pitfalls-with-jpa-and-kotlin/ JPA est une spécification Java pour la persistance objet-relationnel, mais son utilisation avec Kotlin présente des incompatibilités dues aux différences de conception des deux langages Les classes Kotlin sont finales par défaut, ce qui empêche la création de proxies par JPA pour le lazy loading et les opérations transactionnelles Le plugin kotlin-jpa génère automatiquement des constructeurs sans argument et rend les classes open, résolvant les problèmes de compatibilité Les data classes Kotlin ne sont pas adaptées aux entités JPA car elles génèrent equals/hashCode basés sur tous les champs, causant des problèmes avec les relations lazy L'utilisation de lateinit var pour les relations peut provoquer des exceptions si on accède aux propriétés avant leur initialisation par JPA Les types non-nullables Kotlin peuvent entrer en conflit avec le comportement de JPA qui initialise les entités avec des valeurs null temporaires Le backing field direct dans les getters/setters personnalisés peut contourner la logique de JPA et casser le lazy loading IntelliJ IDEA 2024.3 introduit des inspections pour détecter automatiquement ces problèmes et propose des quick-fixes L'IDE détecte les entités finales, les data classes inappropriées, les problèmes de constructeurs et l'usage incorrect de lateinit Ces nouvelles fonctionnalités aident les développeurs à éviter les bugs subtils liés à l'utilisation de JPA avec Kotlin Librairies Guide sur MapStruct @IterableMapping - https://www.baeldung.com/java-mapstruct-iterablemapping MapStruct est une bibliothèque Java pour générer automatiquement des mappers entre beans, l'annotation @IterableMapping permet de configurer finement le mapping de collections L'attribut dateFormat permet de formater automatiquement des dates lors du mapping de listes sans écrire de boucle manuelle L'attribut qualifiedByName permet de spécifier quelle méthode custom appliquer sur chaque élément de la collection à mapper Exemple d'usage : filtrer des données sensibles comme des mots de passe en mappant uniquement certains champs via une méthode dédiée L'attribut nullValueMappingStrategy permet de contrôler le comportement quand la collection source est null (retourner null ou une collection vide) L'annotation fonctionne pour tous types de collections Java (List, Set, etc.) et génère le code de boucle nécessaire Possibilité d'appliquer des formats numériques avec numberFormat pour convertir des nombres en chaînes avec un format spécifique MapStruct génère l'implémentation complète du mapper au moment de la compilation, éliminant le code boilerplate L'annotation peut être combinée avec @Named pour créer des méthodes de mapping réutilisables et nommées Le mapping des collections supporte les conversions de types complexes au-delà des simples conversions de types primitifs Accès aux fichiers Samba depuis Java avec JCIFS - https://www.baeldung.com/java-samba-jcifs JCIFS est une bibliothèque Java permettant d'accéder aux partages Samba/SMB sans monter de lecteur réseau, supportant le protocole SMB3 on pense aux galériens qui doivent se connecter aux systèmes dit legacy La configuration nécessite un contexte CIFS (CIFSContext) et des objets SmbFile pour représenter les ressources distantes L'authentification se fait via NtlmPasswordAuthenticator avec domaine, nom d'utilisateur et mot de passe La bibliothèque permet de lister les fichiers et dossiers avec listFiles() et vérifier leurs propriétés (taille, date de modification) Création de fichiers avec createNewFile() et de dossiers avec mkdir() ou mkdirs() pour créer toute une arborescence Suppression via delete() qui peut parcourir et supprimer récursivement des arborescences entières Copie de fichiers entre partages Samba avec copyTo(), mais impossibilité de copier depuis le système de fichiers local Pour copier depuis le système local, utilisation des streams SmbFileInputStream et SmbFileOutputStream Les opérations peuvent cibler différents serveurs Samba et différents partages (anonymes ou protégés par mot de passe) La bibliothèque s'intègre dans des blocs try-with-resources pour une gestion automatique des ressources Quarkus 3.31 - Support complet Java 25, nouveau packaging Maven et Panache Next - https://quarkus.io/blog/quarkus-3-31-released/ Support complet de Java 25 avec images runtime et native Nouveau packaging Maven de type quarkus avec lifecycle optimisé pour des builds plus rapides voici un article complet pour plus de detail https://quarkus.io/blog/building-large-applications/ Introduction de Panache Next, nouvelle génération avec meilleure expérience développeur et API unifiée ORM/Reactive Mise à jour vers Hibernate ORM 7.2, Reactive 3.2, Search 8.2 Support de Hibernate Spatial pour les données géospatiales Passage à Testcontainers 2 et JUnit 6 Annotations de sécurité supportées sur les repositories Jakarta Data Chiffrement des tokens OIDC pour les implémentations custom TokenStateManager Support OAuth 2.0 Pushed Authorization Requests dans l'extension OIDC Maven 3.9 maintenant requis minimum pour les projets Quarkus A2A Java SDK 1.0.0.Alpha1 - Alignement avec la spécification 1.0 du protocole Agent2Agent - https://quarkus.io/blog/a2a-java-sdk-1-0-0-alpha1/ Le SDK Java A2A implémente le protocole Agent2Agent qui permet la communication standardisée entre agents IA pour découvrir des capacités, déléguer des tâches et collaborer Passage à la version 1.0 de la spécification marque la transition d'expérimental à production-ready avec des changements cassants assumés Modernisation complète du module spec avec des Java records partout remplaçant le mix précédent de classes et records pour plus de cohérence Adoption de Protocol Buffers comme source de vérité avec des mappers MapStruct pour la conversion et Gson pour JSON-RPC Les builders utilisent maintenant des méthodes factory statiques au lieu de constructeurs publics suivant les best practices Java modernes Introduction de trois BOMs Maven pour simplifier la gestion des dépendances du SDK core, des extensions et des implémentations de référence Quarkus AgentCard évolue avec une liste supportedInterfaces remplaçant url et preferredTransport pour plus de flexibilité dans la déclaration des protocoles Support de la pagination ajouté pour ListTasks et les endpoints de configuration des notifications push avec des wrappers Result appropriés Interface A2AHttpClient pluggable permettant des implémentations HTTP personnalisées avec une implémentation Vert.x fournie Travail continu vers la conformité complète avec le TCK 1.0 en cours de développement parallèlement à la finalisation de la spécification Pourquoi Quarkus finit par "cliquer" : les 10 questions que se posent les développeurs Java - https://www.the-main-thread.com/p/quarkus-java-developers-top-questions-2025 un article qui revele et repond aux questions des gens qui ont utilisé Quarkus depuis 4-6 mois, les non noob questions Quarkus est un framework Java moderne optimisé pour le cloud qui propose des temps de démarrage ultra-rapides et une empreinte mémoire réduite Pourquoi Quarkus démarre si vite ? Le framework effectue le travail lourd au moment du build (scanning, indexation, génération de bytecode) plutôt qu'au runtime Quand utiliser le mode réactif plutôt qu'impératif ? Le réactif est pertinent pour les workloads avec haute concurrence et dominance I/O, l'impératif reste plus simple dans les autres cas Quelle est la différence entre Dev Services et Testcontainers ? Dev Services utilise Testcontainers en gérant automatiquement le cycle de vie, les ports et la configuration sans cérémonie Comment la DI de Quarkus diffère de Spring ? CDI est un standard basé sur la sécurité des types et la découverte au build-time, différent de l'approche framework de Spring Comment gérer la configuration entre environnements ? Quarkus permet de scaler depuis le développement local jusqu'à Kubernetes avec des profils, fichiers multiples et configuration externe Comment tester correctement les applications Quarkus ? @QuarkusTest démarre l'application une fois pour toute la suite de tests, changeant le modèle mental par rapport à Spring Boot Que fait vraiment Panache en coulisses ? Panache est du JPA avec des opinions fortes et des défauts propres, enveloppant Hibernate avec un style Active Record Doit-on utiliser les images natives et quand ? Les images natives brillent pour le serverless et l'edge grâce au démarrage rapide et la faible empreinte mémoire, mais tous les apps n'en bénéficient pas Comment Quarkus s'intègre avec Kubernetes ? Le framework génère automatiquement les ressources Kubernetes, gère les health checks et métriques comme s'il était nativement conçu pour cet écosystème Comment intégrer l'IA dans une application Quarkus ? LangChain4j permet d'ajouter embeddings, retrieval, guardrails et observabilité directement en Java sans passer par Python Infrastructure Les alternatives à MinIO https://rmoff.net/2026/01/14/alternatives-to-minio-for-single-node-local-s3/ MinIO a abandonné le support single-node fin 2025 pour des raisons commerciales, cassant de nombreuses démos et pipelines CI/CD qui l'utilisaient pour émuler S3 localement L'auteur cherche un remplacement simple avec image Docker, compatibilité S3, licence open source, déploiement mono-nœud facile et communauté active S3Proxy est très léger et facile à configurer, semble être l'option la plus simple mais repose sur un seul contributeur RustFS est facile à utiliser et inclut une GUI, mais c'est un projet très récent en version alpha avec une faille de sécurité majeure récente SeaweedFS existe depuis 2012 avec support S3 depuis 2018, relativement facile à configurer et dispose d'une interface web basique Zenko CloudServer remplace facilement MinIO mais la documentation et le branding (cloudserver/zenko/scality) peuvent prêter à confusion Garage nécessite une configuration complexe avec fichier TOML et conteneur d'initialisation séparé, pas un simple remplacement drop-in Apache Ozone requiert au minimum quatre nœuds pour fonctionner, beaucoup trop lourd pour un usage local simple L'auteur recommande SeaweedFS et S3Proxy comme remplaçants viables, RustFS en maybe, et élimine Garage et Ozone pour leur complexité Garage a une histoire tres associative, il vient du collectif https://deuxfleurs.fr/ qui offre un cloud distribué sans datacenter C'est certainement pas une bonne idée, les datacenters dans l'espace https://taranis.ie/datacenters-in-space-are-a-terrible-horrible-no-good-idea/ Avis d'expert (ex-NASA/Google, Dr en électronique spatiale) : Centres de données spatiaux, une "terrible" idée. Incompatibilité fondamentale : L'électronique (surtout IA/GPU) est inadaptée à l'environnement spatial. Énergie : Accès limité. Le solaire (type ISS) est insuffisant pour l'échelle de l'IA. Le nucléaire (RTG) est trop faible. Refroidissement : L'espace n'est pas "froid" ; absence de convection. Nécessite des radiateurs gigantesques (ex: 531m² pour 200kW). Radiations : Provoque erreurs (SEU, SEL) et dommages. Les GPU sont très vulnérables. Blindage lourd et inefficace. Les puces "durcies" sont très lentes. Communications : Bande passante très limitée (1Gbps radio vs 100Gbps terrestre). Le laser est tributaire des conditions atmosphériques. Conclusion : Projet extrêmement difficile, coûteux et aux performances médiocres. Data et Intelligence Artificielle Guillaume a développé un serveur MCP pour arXiv (le site de publication de papiers de recherche) en Java avec le framework Quarkus https://glaforge.dev/posts/2026/01/18/implementing-an-arxiv-mcp-server-with-quarkus-in-java/ Implémentation d'un serveur MCP (Model Context Protocol) arXiv en Java avec Quarkus. Objectif : Accéder aux publications arXiv et illustrer les fonctionnalités moins connues du protocole MCP. Mise en œuvre : Utilisation du framework Quarkus (Java) et son support MCP étendu. Assistance par Antigravity (IDE agentique) pour le développement et l'intégration de l'API arXiv. Interaction avec l'API arXiv : requêtes HTTP, format XML Atom pour les résultats, parser XML Jackson. Fonctionnalités MCP exposées : Outils (@Tool) : Recherche de publications (search_papers). Ressources (@Resource, @ResourceTemplate) : Taxonomie des catégories arXiv, métadonnées des articles (via un template d'URI). Prompts (@Prompt) : Exemples pour résumer des articles ou construire des requêtes de recherche. Configuration : Le serveur peut fonctionner en STDIO (local) ou via HTTP Streamable (local ou distant), avec une configuration simple dans des clients comme Gemini CLI. Conclusion : Quarkus simplifie la création de serveurs MCP riches en fonctionnalités, rendant les données et services "prêts pour l'IA" avec l'aide d'outils d'IA comme Antigravity. Anthropic ne mettra pas de pub dans Claude https://www.anthropic.com/news/claude-is-a-space-to-think c'est en reaction au plan non public d'OpenAi de mettre de la pub pour pousser les gens au mode payant OpenAI a besoin de cash et est probablement le plus utilisé pour gratuit au monde Anthropic annonce que Claude restera sans publicité pour préserver son rôle d'assistant conversationnel dédié au travail et à la réflexion approfondie. Les conversations avec Claude sont souvent sensibles, personnelles ou impliquent des tâches complexes d'ingénierie logicielle où les publicités seraient inappropriées. L'analyse des conversations montre qu'une part significative aborde des sujets délicats similaires à ceux évoqués avec un conseiller de confiance. Un modèle publicitaire créerait des incitations contradictoires avec le principe fondamental d'être "genuinely helpful" inscrit dans la Constitution de Claude. Les publicités introduiraient un conflit d'intérêt potentiel où les recommandations pourraient être influencées par des motivations commerciales plutôt que par l'intérêt de l'utilisateur. Le modèle économique d'Anthropic repose sur les contrats entreprise et les abonnements payants, permettant de réinvestir dans l'amélioration de Claude. Anthropic maintient l'accès gratuit avec des modèles de pointe et propose des tarifs réduits pour les ONG et l'éducation dans plus de 60 pays. Le commerce "agentique" sera supporté mais uniquement à l'initiative de l'utilisateur, jamais des annonceurs, pour préserver la confiance. Les intégrations tierces comme Figma, Asana ou Canva continueront d'être développées en gardant l'utilisateur aux commandes. Anthropic compare Claude à un cahier ou un tableau blanc : des espaces de pensée purs, sans publicité. Infinispan 16.1 est sorti https://infinispan.org/blog/2026/02/04/infinispan-16-1 déjà le nom de la release mérite une mention Le memory bounded par cache et par ensemble de cache s est pas facile à faire en Java Une nouvelle api OpenAPI AOT caché dans les images container Un serveur MCP local juste avec un fichier Java ? C'est possible avec LangChain4j et JBang https://glaforge.dev/posts/2026/02/11/zero-boilerplate-java-stdio-mcp-servers-with-langchain4j-and-jbang/ Création rapide de serveurs MCP Java sans boilerplate. MCP (Model Context Protocol): standard pour connecter les LLM à des outils et données. Le tutoriel répond au manque d'options simples pour les développeurs Java, face à une prédominance de Python/TypeScript dans l'écosystème MCP. La solution utilise: LangChain4j: qui intègre un nouveau module serveur MCP pour le protocole STDIO. JBang: permet d'exécuter des fichiers Java comme des scripts, éliminant les fichiers de build (pom.xml, Gradle). Implémentation: se fait via un seul fichier .java. JBang gère automatiquement les dépendances (//DEPS). L'annotation @Tool de LangChain4j expose les méthodes Java aux LLM. StdioMcpServerTransport gère la communication JSON-RPC via l'entrée/sortie standard (STDIO). Point crucial: Les logs doivent impérativement être redirigés vers System.err pour éviter de corrompre System.out, qui est réservé à la communication MCP (messages JSON-RPC). Facilite l'intégration locale avec des outils comme Gemini CLI, Claude Code, etc. Reciprocal Rank Fusion : un algorithme utile et souvent utilisé pour faire de la recherche hybride, pour mélanger du RAG et des recherches par mots-clé https://glaforge.dev/posts/2026/02/10/advanced-rag-understanding-reciprocal-rank-fusion-in-hybrid-search/ RAG : Qualité LLM dépend de la récupération. Recherche Hybride : Combiner vectoriel et mots-clés (BM25) est optimal. Défi : Fusionner des scores d'échelles différentes. Solution : Reciprocal Rank Fusion (RRF). RRF : Algorithme robuste qui fusionne des listes de résultats en se basant uniquement sur le rang des documents, ignorant les scores. Avantages RRF : Pas de normalisation de scores, scalable, excellente première étape de réorganisation. Architecture RAG fréquente : RRF (large sélection) + Cross-Encoder / modèle de reranking (précision fine). RAG-Fusion : Utilise un LLM pour générer plusieurs variantes de requête, puis RRF agrège tous les résultats pour renforcer le consensus et réduire les hallucinations. Implémentation : LangChain4j utilise RRF par défaut pour agréger les résultats de plusieurs retrievers. Les dernières fonctionnalités de Gemini et Nano Banana supportées dans LangChain4j https://glaforge.dev/posts/2026/02/06/latest-gemini-and-nano-banana-enhancements-in-langchain4j/ Nouveaux modèles d'images Nano Banana (Gemini 2.5/3.0) pour génération et édition (jusqu'à 4K). "Grounding" via Google Search (pour images et texte) et Google Maps (localisation, Gemini 2.5). Outil de contexte URL (Gemini 3.0) pour lecture directe de pages web. Agents multimodaux (AiServices) capables de générer des images. Configuration de la réflexion (profondeur Chain-of-Thought) pour Gemini 3.0. Métadonnées enrichies : usage des tokens et détails des sources de "grounding". Comment configurer Gemini CLI comment agent de code dans IntelliJ grâce au protocole ACP https://glaforge.dev/posts/2026/02/01/how-to-integrate-gemini-cli-with-intellij-idea-using-acp/ But : Intégrer Gemini CLI à IntelliJ IDEA via l'Agent Client Protocol (ACP). Prérequis : IntelliJ IDEA 2025.3+, Node.js (v20+), Gemini CLI. Étapes : Installer Gemini CLI (npm install -g @google/gemini-cli). Localiser l'exécutable gemini. Configurer ~/.jetbrains/acp.json (chemin exécutable, --experimental-acp, use_idea_mcp: true). Redémarrer IDEA, sélectionner "Gemini CLI" dans l'Assistant IA. Usage : Gemini interagit avec le code et exécute des commandes (contexte projet). Important : S'assurer du flag --experimental-acp dans la configuration. Outillage PipeNet, une alternative (open source aussi) à LocalTunnel, mais un plus évoluée https://pipenet.dev/ pipenet: Alternative open-source et moderne à localtunnel (client + serveur). Usages: Développement local (partage, webhooks), intégration SDK, auto-hébergement sécurisé. Fonctionnalités: Client (expose ports locaux, sous-domaines), Serveur (déploiement, domaines personnalisés, optimisé cloud mono-port). Avantages vs localtunnel: Déploiement cloud sur un seul port, support multi-domaines, TypeScript/ESM, maintenance active. Protocoles: HTTP/S, WebSocket, SSE, HTTP Streaming. Intégration: CLI ou SDK JavaScript. JSON-IO — une librairie comme Jackson ou GSON, supportant JSON5, TOON, et qui pourrait être utile pour l'utilisation du "structured output" des LLMs quand ils ne produisent pas du JSON parfait https://github.com/jdereg/json-io json-io : Librairie Java pour la sérialisation et désérialisation JSON/TOON. Gère les graphes d'objets complexes, les références cycliques et les types polymorphes. Support complet JSON5 (lecture et écriture), y compris des fonctionnalités non prises en charge par Jackson/Gson. Format TOON : Notation orientée token, optimisée pour les LLM, réduisant l'utilisation de tokens de 40 à 50% par rapport au JSON. Légère : Aucune dépendance externe (sauf java-util), taille de JAR réduite (~330K). Compatible JDK 1.8 à 24, ainsi qu'avec les environnements JPMS et OSGi. Deux modes de conversion : vers des objets Java typés (toJava()) ou vers des Map (toMaps()). Options de configuration étendues via ReadOptionsBuilder et WriteOptionsBuilder. Optimisée pour les déploiements cloud natifs et les architectures de microservices. Utiliser mailpit et testcontainer pour tester vos envois d'emails https://foojay.io/today/testing-emails-with-testcontainers-and-mailpit/ l'article montre via SpringBoot et sans. Et voici l'extension Quarkus https://quarkus.io/extensions/io.quarkiverse.mailpit/quarkus-mailpit/?tab=docs Tester l'envoi d'emails en développement est complexe car on ne peut pas utiliser de vrais serveurs SMTP Mailpit est un serveur SMTP de test qui capture les emails et propose une interface web pour les consulter Testcontainers permet de démarrer Mailpit dans un conteneur Docker pour les tests d'intégration L'article montre comment configurer une application SpringBoot pour envoyer des emails via JavaMail Un module Testcontainers dédié à Mailpit facilite son intégration dans les tests Le conteneur Mailpit expose un port SMTP (1025) et une API HTTP (8025) pour vérifier les emails reçus Les tests peuvent interroger l'API HTTP de Mailpit pour valider le contenu des emails envoyés Cette approche évite d'utiliser des mocks et teste réellement l'envoi d'emails Mailpit peut aussi servir en développement local pour visualiser les emails sans les envoyer réellement La solution fonctionne avec n'importe quel framework Java supportant JavaMail Architecture Comment scaler un système de 0 à 10 millions d'utilisateurs https://blog.algomaster.io/p/scaling-a-system-from-0-to-10-million-users Philosophie : Scalabilité incrémentale, résoudre les goulots d'étranglement sans sur-ingénierie. 0-100 utilisateurs : Serveur unique (app, DB, jobs). 100-1K : Séparer app et DB (services gérés, pooling). 1K-10K : Équilibreur de charge, multi-serveurs d'app (stateless via sessions partagées). 10K-100K : Caching, réplicas de lecture DB, CDN (réduire charge DB). 100K-500K : Auto-scaling, applications stateless (authentification JWT). 500K-10M : Sharding DB, microservices, files de messages (traitement asynchrone). 10M+ : Déploiement multi-régions, CQRS, persistance polyglotte, infra personnalisée. Principes clés : Simplicité, mesure, stateless essentiel, cache/asynchrone, sharding prudent, compromis (CAP), coût de la complexité. Patterns d'Architecture 2026 - Du Hype à la Réalité du Terrain (Part 1/2) - https://blog.ippon.fr/2026/01/30/patterns-darchitecture-2026-part-1/ L'article présente quatre patterns d'architecture logicielle pour répondre aux enjeux de scalabilité, résilience et agilité business dans les systèmes modernes Il présentent leurs raisons et leurs pièges Un bon rappel L'Event-Driven Architecture permet une communication asynchrone entre systèmes via des événements publiés et consommés, évitant le couplage direct Les bénéfices de l'EDA incluent la scalabilité indépendante des composants, la résilience face aux pannes et l'ajout facile de nouveaux cas d'usage Le pattern API-First associé à un API Gateway centralise la sécurité, le routage et l'observabilité des APIs avec un catalogue unifié Le Backend for Frontend crée des APIs spécifiques par canal (mobile, web, partenaires) pour optimiser l'expérience utilisateur CQRS sépare les modèles de lecture et d'écriture avec des bases optimisées distinctes, tandis que l'Event Sourcing stocke tous les événements plutôt que l'état actuel Le Saga Pattern gère les transactions distribuées via orchestration centralisée ou chorégraphie événementielle pour coordonner plusieurs microservices Les pièges courants incluent l'explosion d'événements granulaires, la complexité du debugging distribué, et la mauvaise gestion de la cohérence finale Les technologies phares sont Kafka pour l'event streaming, Kong pour l'API Gateway, EventStoreDB pour l'Event Sourcing et Temporal pour les Sagas Ces patterns nécessitent une maturité technique et ne sont pas adaptés aux applications CRUD simples ou aux équipes junior Patterns d'architecture 2026 : du hype à la réalité terrain part. 2 - https://blog.ippon.fr/2026/02/04/patterns-darchitecture-2026-part-2/ Deuxième partie d'un guide pratique sur les patterns d'architecture logicielle et système éprouvés pour moderniser et structurer les applications en 2026 Strangler Fig permet de migrer progressivement un système legacy en l'enveloppant petit à petit plutôt que de tout réécrire d'un coup (70% d'échec pour les big bang) Anti-Corruption Layer protège votre nouveau domaine métier des modèles externes et legacy en créant une couche de traduction entre les systèmes Service Mesh gère automatiquement la communication inter-services dans les architectures microservices (sécurité mTLS, observabilité, résilience) Architecture Hexagonale sépare le coeur métier des détails techniques via des ports et adaptateurs pour améliorer la testabilité et l'évolutivité Chaque pattern est illustré par un cas client concret avec résultats mesurables et liste des pièges à éviter lors de l'implémentation Les technologies 2026 mentionnées incluent Istio, Linkerd pour service mesh, LaunchDarkly pour feature flags, NGINX et Kong pour API gateway Tableau comparatif final aide à choisir le bon pattern selon la complexité, le scope et le use case spécifique du projet L'article insiste sur une approche pragmatique : ne pas utiliser un pattern juste parce qu'il est moderne mais parce qu'il résout un problème réel Pour les systèmes simples type CRUD ou avec peu de services, ces patterns peuvent introduire une complexité inutile qu'il faut savoir éviter Méthodologies Le rêve récurrent de remplacer voire supprimer les développeurs https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html Depuis 1969, chaque décennie voit une tentative de réduire le besoin de développeurs (de COBOL, UML, visual builders… à IA). Motivation : frustration des dirigeants face aux délais et coûts de développement. La complexité logicielle est intrinsèque et intellectuelle, non pas une question d'outils. Chaque vague technologique apporte de la valeur mais ne supprime pas l'expertise humaine. L'IA assiste les développeurs, améliore l'efficacité, mais ne remplace ni le jugement ni la gestion de la complexité. La demande de logiciels excède l'offre car la contrainte majeure est la réflexion nécessaire pour gérer cette complexité. Pour les dirigeants : les outils rendent-ils nos développeurs plus efficaces sur les problèmes complexes et réduisent-ils les tâches répétitives ? Le "rêve" de remplacer les développeurs, irréalisable, est un moteur d'innovation créant des outils précieux. Comment creuser des sujets à l'ère de l'IA générative. Quid du partage et la curation de ces recherches ? https://glaforge.dev/posts/2026/02/04/researching-topics-in-the-age-of-ai-rock-solid-webhooks-case-study/ Recherche initiale de l'auteur sur les webhooks en 2019, processus long et manuel. L'IA (Deep Research, Gemini, NotebookLM) facilite désormais la recherche approfondie, l'exploration de sujets et le partage des résultats. L'IA a identifié et validé des pratiques clés pour des déploiements de webhooks résilients, en grande partie les mêmes que celles trouvées précédemment par l'auteur. Génération d'artefacts par l'IA : rapport détaillé, résumé concis, illustration sketchnote, et même une présentation (slide deck). Guillaume s'interroge sur le partage public de ces rapports de recherche générés par l'IA, tout en souhaitant éviter le "AI Slop". Loi, société et organisation Le logiciel menacé par le vibe coding https://www.techbuzz.ai/articles/we-built-a-monday-com-clone-in-under-an-hour-with-ai Deux journalistes de CNBC sans expérience de code ont créé un clone fonctionnel de Monday.com en moins de 60 minutes pour 5 à 15 dollars. L'expérience valide les craintes des investisseurs qui ont provoqué une baisse de 30% des actions des entreprises SaaS. L'IA a non seulement reproduit les fonctionnalités de base mais a aussi recherché Monday.com de manière autonome pour identifier et recréer ses fonctionnalités clés. Cette technique appelée "vibe-coding" permet aux non-développeurs de construire des applications via des instructions en anglais courant. Les entreprises les plus vulnérables sont celles offrant des outils "qui se posent sur le travail" comme Atlassian, Adobe, HubSpot, Zendesk et Smartsheet. Les entreprises de cybersécurité comme CrowdStrike et Palo Alto sont considérées plus protégées grâce aux effets de réseau et aux barrières réglementaires. Les systèmes d'enregistrement comme Salesforce restent plus difficiles à répliquer en raison de leur profondeur d'intégration et de données d'entreprise. Le coût de 5 à 15 dollars par construction permet aux entreprises de prototyper plusieurs solutions personnalisées pour moins cher qu'une seule licence Monday.com. L'expérience soulève des questions sur la pérennité du marché de 5 milliards de dollars des outils de gestion de projet face à l'IA générative. Conférences En complément de l'agenda des conférences de Aurélie Vache, il y a également le site https://javaconferences.org/ (fait par Brian Vermeer) avec toutes les conférences Java à venir ! La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-13 février 2026 : Touraine Tech #26 - Tours (France) 12-13 février 2026 : World Artificial Intelligence Cannes Festival - Cannes (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18 mars 2026 : Jupyter Workshops: AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing - Saint-Maur-des-Fossés (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 31 mars 2026-1 avril 2026 : FlowCon France 2026 - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 2-3 avril 2026 : Xen Spring Meetup 2026 - Grenoble (France) 7 avril 2026 : PyTorch Conference Europe - Paris (France) 9-10 avril 2026 : Android Makers by droidcon 2026 - Paris (France) 9-11 avril 2026 : Drupalcamp Grenoble 2026 - Grenoble (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 17-18 avril 2026 : Faiseuses du Web 5 - Dinan (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 20-22 août 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

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TIPS 来自浪谈杨凯的一个小通知

Play Episode Listen Later Feb 15, 2026 2:12

温馨提示：为了评论区的和谐融洽，本期节目为付费内容，但由于部分平台功能暂不支持，所以请听众朋友们到小宇宙、荔枝、网易云等平台付费收听完整版。感谢您的理解与支持～过年了，过年了，这次真的过年了！！“浪谈三人组”带着上次未完待续的NBA系列回！归！了！话说2002-2003年，勒布朗・詹姆斯在成为NBA状元的道路上，走出了一段充满机遇、争议与成长的旅程。这段时光，既是他天赋的绽放，也是他从少年到巨星的蜕变。一个17岁的高中球星，一场偶然的机场邂逅，为何会改写整个NBA的格局？詹姆斯与保罗的相遇，真的只是因为一件复古球衣那么简单吗？他与安东尼、波什、韦德的同期入选，又为日后的联盟格局埋下了怎样的伏笔？这一切又与说唱东西海岸大战有什么关系呢？本期节目为您揭晓答案！更多精彩内容，欢迎收听本期节目~主播 / 相征杨凯大猛音频后期 / 纪金音频上传 / 恬恬-本节目由深夜谈谈 Midnight Network出品 -Timeline:intro Puff Daddy - Instrumental00:06:40 聊聊老詹近况00:11:56 时间回到2002年3月00:24:19 勒布朗和他的高中死党们00:31:07 乔丹登场00:47:59 那年秋天，他登上了《今日美国》的头版00:56:03 摊上官司了01:08:20 勒布朗恢复业余资格01:15:29 耐克创始人来了01:27:30 商战风云01:42:28 “你听说唱么”01:50:14 2Pac与东西海岸之争01:54:20 2Pac - Life Goes On01:54:58 声名狼藉大先生也。。。02:07:42 说回2003年NBA选秀02:15:18 JAY-Z,Alicia Keys - Empire State Of Mind大内夜市近期上新！大内人气玄学嘉宾张无梦为女性量身打造4款文玩手串，旺金财运、金玉良缘、扶摇直上、顺遂安然，电子木鱼弱爆了！物理配饰积功德，玄学朋克，硬核转运！微信搜索「大内夜市」即可购买！深夜谈谈招聘啦，本次开放岗位全职：1、电商&旅行运营 2、商务BD&AE 全职或兼职：视频编导感兴趣的朋友们请发送求职信+简历+个人作品请发送至邮箱jobs@midnightalks.com深夜谈谈播客网络旗下播客：大内密谈、枕边风、空岛、随便聪明、淮海333-你还可以在这里找到我们：小红书：@深夜谈谈、@相征terry、@miyaB站：@大内密谈midnightalks视频号&抖音：@深夜谈谈微博：@大内密谈微信公众号：大内密谈商务合作邮箱：biz@midnightalks.com加听众群：加深夜谈谈子微信（微信号:SYTT-midnightalks）并回复【听众群】即可进群。

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The Toxic Avenger : le podcast plus unrated que le film !

france marvel comics geeks pop culture aujourd dc comics visitez bd ausha le podcast toxic avenger troma le film lloyd kaufman tipeee podcast plus unrated troma entertainment

Play Episode Listen Later Feb 14, 2026 128:51

Et un nouveau rendez-vous "film pas sorti au cinéma, et d'ailleurs officiellement pas sorti en France", un ! Aujourd'hui, on vous propose ce podcast autour de The Toxic Avenger, le reboot de 2025 de la célèbre franchise de Lloyd Kaufman, amenée chez Troma Entertainment. Un projet qui nous passionnait puisqu'amoureux de ce genre de cinéma bis, à l'humour de mauvais goût... et donc, pour lui rendre hommage, on vous propose une émission elle aussi unrated !Le podcast débrief sur le retour du Toxic AvengerAvec un Spleenter particulièrement en forme, on propose ce débrief autour du Toxic Avenger afin de regarder ce qui ressort de ce film, avec l'historique très chargé de ce personnage, né des films fauchés de la Troma, mais qui a aussi eu droit à une version en comics, en série animée voire en comédie musicale - et nous revient donc maintenant sur le grand écran, porté par un casting assez solide, et une tonalité sale gosse qui a su nous séduire.Si vous avez apprécié cette émission ne manquez pas de soutenir notre travail ! Vous pouvez partager l'émission sur les réseaux sociaux, en parler autour de vous ou nous faire un don sur Tipeee ! Merci à toutes et tous de votre écoute et à bientôt pour le prochain podcast !Le ProgrammeLe point cocopédia - 13:40La discussion sur Toxic Avenger - 46:37Soutenez First Print - Votre podcast comics (& BD) préféré sur TipeeeHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Create Demand Out of Thin Air: A BD System That Actually Works

The Elite Recruiter Podcast

Play Episode Listen Later Feb 13, 2026 49:00

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vol.1368 大S是我的证婚人: 藏在星盘中的温柔和预警

Play Episode Listen Later Feb 12, 2026 120:00

爱莎老师对大S的追忆，满是温暖与惋惜。作为爱莎婚礼的证婚人，大S不仅亲力亲为设计婚纱，还特意做了棉花婚戒，寓意爱情的纯真长久。爱莎老师出书时，大S正经历流产之痛，却仍不忘送上祝福，这份善良让人敬佩。从星盘来看，大S是优雅的天秤底色，她对美有极致追求，且心软有侠气的特质。可惜2021年火运下滑，2025年星象叠加犯太岁，所以当传来她意外离世的消息时，大家都唏嘘不已。节目中，爱莎老师和划水怪回忆着关于大S的种种过往，也聊到了26年星座运势。在2026年的星象变动中，各星座运势有起有伏，想知道你的星座运势如何么？快来收听节目吧～【“大内&爱莎”的听众群建立啦！感兴趣的朋友可以加深夜谈谈子微信（微信号: SYTT-midnightalks）并回复“爱莎听友群”即可进群。】（上图为爱莎老师婚礼当天，身穿大S设计的婚纱）（上图为大S设计的戒指）更多精彩内容，欢迎收听本期节目~主播 / 相征嘉宾 / 爱莎音频后期 / 划水怪音频上传 / 恬恬-本节目由深夜谈谈 Midnight Network出品 -Timeline:00:03:15 埃及奇遇记00:13:47 与大S因婚礼结缘00:24:44 大S亲手制做的婚戒00:29:43 感慨万千的写序回忆00:36:07 对大S星盘的分析00:50:26 大S的结局早有暗示00:57:15 徐熙媛 - 钻石01:04:45 十二星座守护神及新年运势分析01:15:32 中女翻红：全对上了01:33:37 星座也会犯太岁？01:40:44 这个星座开局确实难01:53:28 2026年星象总结01:56:17 結束バンド - 星座になれたら大内夜市近期上新！大内人气玄学嘉宾张无梦为女性量身打造4款文玩手串，旺金财运、金玉良缘、扶摇直上、顺遂安然，电子木鱼弱爆了！物理配饰积功德，玄学朋克，硬核转运！微信搜索「大内夜市」即可购买！深夜谈谈招聘啦，本次开放岗位——全职：1、电商&旅行运营 2、BD&AE 全职或兼职：视频编导，感兴趣的朋友们请发送求职信+简历+个人作品请发送至邮箱jobs@midnightalks.com深夜谈谈播客网络旗下播客：大内密谈、枕边风、空岛、随便聪明、淮海333-你还可以在这里找到我们：小红书：@深夜谈谈、@相征terry、@miyaB站：@大内密谈midnightalks视频号&抖音：@深夜谈谈微博：@大内密谈微信公众号：大内密谈商务合作邮箱：biz@midnightalks.com加听众群：加深夜谈谈子微信（微信号:SYTT-midnightalks）并回复【听众群】即可进群。

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665 - AI Does 70% of the Work and Here's What a Salesforce Partner Does With the Other 30 with Ferny Bengali

Corporate Escapees

Play Episode Listen Later Feb 12, 2026 30:41

Why you should listenFerny reveals how Sherpaneer uses AI across operations, from capacity planning models to proposal development, giving you a practical blueprint for integrating AI into your own consulting workflows.Learn how Ferny and her partner built a fully self-sourced pipeline through reciprocal partnerships with adjacent vendors like Gong, Clari, and FinancialForce, without relying on Salesforce for leads.Get Ferny's approach to managing AI tools across a team, including shared projects in Claude, an internal AI use policy, and a quarterly review cycle to keep everything current.You know you should be using AI in your consulting practice, but where do you actually start without compromising client data or wasting time on tools that don't stick? In this episode, I talk with Ferny Bengali from Sherpaneer, a boutique Salesforce consultancy that works with enterprise clients across high-tech, financial services, manufacturing, and healthcare. Ferny walks me through exactly how her team of 12 uses AI day to day, from feeding anonymized staffing data into models for capacity planning, to using voice notes and LLMs to prep for pitches. We also get into how she structures client knowledge across projects, her approach to AI-optimized content for SEO, and why she hired a part-time BD person instead of going full-time. If you've been experimenting with AI but haven't operationalized it across your practice yet, this conversation will show you what that looks like in action.About Ferny BengaliFarnaz (Ferny) Bengali is Co-President of Sherpaneer, a women-owned, diverse Salesforce consulting partner that helps mid-to-large organizations implement the right way, the first time. With 20+ years of industry experience—including leadership roles at MicroStrategy, Accenture, and The Carlyle Group—Ferny chose the boutique path over big consulting, building a practice that delivers senior-level expertise without the agency bloat. She's also a board member of WISE (Women in Salesforce Entrepreneurship), co-invests in hospitality through Dogwood Hospitality, and is passionate about using AI as an operating layer to scale consulting without scaling headcount.Resources and LinksSherpaneer.comFerny's LinkedIn profileRead.aiNotebook LMScribeChatGPTClaudeGoogle Gemini

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Front Page : l'actualité comics de février 2026 #1 (sur 3) !

Les histoires de 28 Minutes

Play Episode Listen Later Feb 12, 2026 98:49

L'émission Front Page est une revue d'actualité qui s'intéresse à tout ce qui touche le monde de la bande dessinée américaine (comics) du côté des Etats-Unis comme de la France, ainsi qu'à ses adaptations tous médias confondus. Le podcast est une série régulière chez First Print et revient au rythme de trois épisodes par mois, hors contenus spéciaux. Ce Front Page est le premier podcast consacré à l'actualité comics du mois de février 2026.REJOIGNEZ NOUS SUR DISCORD !!Le podcast est sponsorisé par Pulps et on vous propose un "Focus Pulps" chaque mois ! Découvrez une sélection de comics VO à prix de lancement !Le Focus Pulp's de février 2026 : In Your Skin / Head Lopper / Swamp Thing 1989Si vous appréciez le travail fourni par l'équipe et que vous souhaitez soutenir le podcast, vous pouvez partager les émissions sur les réseaux sociaux et vous abonner à nos différents comptes, laisser des notes sur les différentes plateformes d'écoute, ou encore nous soutenir via notre page Tipeee. Très bonne écoute à vous, et à bientôt pour le prochain podcast !Le ProgrammeCOMICS - 05:35Blatta à soutenir sur Ulule, et Alberto Ponticelli en tournée !Total THB, Everything Sucks et Clara & The Devil arrivent chez MorgenAmazing Spider-Man Torn, Black Cat et Spider-Man Noir d'Erik Larsen chez Panini ComicsDu Spider-Man poche en veux-tu en voilà pour Brand New DayLe plein d'omnibus avec du Buscema et du Jason AaronMais aussi pas mal de Punisher et du Marvel Zombies Red BandEn Deluxe, du Ultimates et enfin le Iron Man de CantwellEt Elektra Assassin en prestigeEn VO, She-Spawn de Gail Simone et Lady Mechanika de retourRyan North n'en a pas fini avec DoomAlex Ross signe un nouvel album Marvel Dimensions chez Abrams ComicArtsTV - 1:20:30Scott Pilgrim EX dévoile un nouveau trailer de gameplayCINEMA - 1:23:28Josh d'Amaro est le nouveau boss de DisneySoutenez First Print - Podcast Comics de Référence sur TipeeeHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

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Joann Sfar / Affaire Epstein : un lent poison pour la démocratie ?

Play Episode Listen Later Feb 12, 2026 46:19

L'émission 28 minutes du 12/02/2026 Joann Sfar dessine l'après 7-Octobre, entre Paris, Ramallah et Tel-Aviv Le dessinateur, mais aussi écrivain, réalisateur et professeur à l'École des Beaux-Arts, Joann Sfar, publie “Terre de sang. Le temps du désespoir”, aux éditions Les Arènes. Ce troisième livre vient clore le cycle commencé avec “Nous vivrons” et “Que faire des Juifs ?”, consacrés aux conséquences du 7 octobre 2023. Il explorait la résurgence de l'antisémitisme dans la société française, tout comme sa continuité dans l'histoire mondiale. Avec ce nouvel opus, sous la forme d'une BD reportage, le dessinateur est allé à la rencontre des habitants du Proche-Orient, à Ramallah, Naplouse, Hébron ou encore Jérusalem. Affaire Epstein : un lent poison pour la démocratie ? Plus de trois millions de documents déclassifiés, 2 000 vidéos et des dizaines de milliers d'images mises à la disposition de tous : l'affaire Epstein a pris une nouvelle dimension le 30 janvier. En novembre 2025, le Congrès américain a approuvé à une large majorité la loi sur la transparence des dossiers Epstein, promulguée, peu après, par Donald Trump. En juillet 2019, Jeffrey Epstein est arrêté et accusé, notamment, de diriger un vaste réseau de prostitution de mineurs. Il meurt en prison quelques semaines plus tard sans jamais avoir été jugé. Aux États-Unis, au Royaume-Uni ou encore en Norvège, la déclassification de ces dossiers révèle des liens entre Jeffrey Epstein et des hauts-responsables. En France, l'ancien ministre de la Culture, Jack Lang, a démissionné de la présidence de l'Institut du monde arabe après l'ouverture d'une enquête du Parquet national financier pour ses liens avec le criminel sexuel. Alors que Laurence Fournier Beaudry et Guillaume Cizeron viennent de remporter l'or olympique en danse sur glace, Xavier Mauduit nous raconte l'histoire de la jeune patineuse Lidwine canonisée par le pape Léon XIII. Marie Bonnisseau s'intéresse au retrait par l'administration Trump du drapeau arc-en-ciel du Stonewall National Monument, à New York, lieu emblématique de la défense des droits de la communauté LGBTQI+. 28 minutes est le magazine d'actualité d'ARTE, présenté par Élisabeth Quin du lundi au jeudi à 20h05. Renaud Dély est aux commandes de l'émission le vendredi et le samedi. Ce podcast est coproduit par KM et ARTE Radio. Enregistrement 12 février 2026 Présentation Élisabeth Quin Production KM, ARTE Radio

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RDC: les activités culturelles renaissent à Kolwezi après trois décennies d'absence

Reportage Afrique

Play Episode Listen Later Feb 11, 2026 2:21

C'est une ville minière au sud de la RDC où l'activité culturelle renaît grâce au centre culturel Sauti Ya Macho (« Les yeux s'expriment », en kiswahili), un partenariat public-privé. La ville vit désormais au rythme des expositions, des rencontres artistiques, des concerts et des spectacles. Ces activités qui, jadis, étaient financées exclusivement par l'entreprise minière Gécamines, avaient disparu faute de subvention. De notre correspondante à Kolwezi Nous sommes bel et bien à Kolwezi, ville minière. Une ville où l'on creuse la terre pour en extraire les minerais stratégiques. Cette exposition-vente de livres est l'une des récentes activités organisées à Kolwezi par le centre interculturel Sauti Ya Macho. Situé sur l'avenue Busanga, ce centre compte en son sein une bibliothèque, un studio d'enregistrement, une salle de spectacles et des logements. Même si les infrastructures sont en pleine réhabilitation, la programmation, elle, n'a pas attendu, explique Doux Doux Mij, son directeur : « L'activité que nous avons, c'est d'abord le festival international d'art contemporain qui sera à sa 4e édition au mois de juillet. Et puis nous avons des expositions-ventes, des expositions photos, des conférences-débats. » Depuis trois décennies, Kolwezi n'accueillait plus d'activités culturelles. La Gécamines, entreprise minière publique qui subventionnait toutes ces activités, avait connu une chute. Aujourd'hui la culture renaît, déclare le professeur Sylvain Kantolongo, enseignant à l'université Kolwezi. Il vient d'assister à l'exposition des livres : « Sauti Ya Macho est vu comme un nouveau souffle. Il nous permet de parler culture et d'aider la province à avancer au lieu de jouer à l'abonné absent culturellement. » Accompagner les artistes Avec l'appui de l'ambassade de France en RDC, ce centre interculturel propose un accompagnement technique et logistique aux artistes. Kevin Mwenze, bédéiste et artiste plasticien, est l'un des bénéficiaires. Sa toute première bande dessinée, intitulée Neno (« Parole », en kiswahili), a vu le jour ici : « Je me dis, "Qu'est-ce qu'on serait sans le centre culturel Sauti Ya Macho" parce que c'est la maison qui nous a accompagnés dès la phase d'écriture jusqu'à la sortie de la BD. Même le vernissage a eu lieu au centre Sauti Ya Macho. » Direction le Mall de la joie, le plus grand centre commercial de Kolwezi. Il a accueilli l'an dernier la 3e édition du festival international d'art contemporain. Mukendi Mudio, artiste plasticien venu de Lubumbashi, y a pris part. Son crayon à la main, il réalise des portraits en plein air : « Quand je suis arrivé, j'étais anonyme, on ne me connaissait pas. Après l'exposition, j'ai trouvé mon ouverture. J'ai un bureau ici et je sais comment travailler. » La prochaine activité culturelle du centre Sauti Ya Macho est la projection du documentaire intitulé Kolwezi et ses périphéries face à l'urgence des érosions. Elle sera suivie d'un débat.

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L'obsession du gigantisme en iA (partie 1) | La Tech entre les Lignes - Louis de Diesbach

Trench Tech

Play Episode Listen Later Feb 11, 2026 2:27

Et si la course aux modèles toujours plus gros était en train de freiner l'innovation en iA ?À partir d'un papier majeur de Varoquaux, Luccioni et Whittaker, l'épisode démonte le mythe du bigger is better et ses rendements décroissants.Coûts qui explosent, benchmarks biaisés, alternatives négligées : pourquoi scaler est devenu une norme… plus qu'une nécessité.La tech entre les lignes, la chronique qui décrypte les articles tech, animée par Louis de Diesbach. ***** À PROPOS DE TRENCH TECH *****LE talkshow « Esprits Critiques pour Tech Ethique »Écoutez-nous sur toutes les plateformes de podcast

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Un village sous l'occupation - Pierre-Jérôme Biscarat

Timeline (5.000 ans d'Histoire)

Play Episode Listen Later Feb 10, 2026 48:18

Belley, été 1940. La France a perdu, mais la guerre continue. Dans le village, les habitants doivent faire face aux privations et aux difficultés d'une vie à l'horizon rétréci : ravitaillement, marché noir, délation, déplacements limités, sort des prisonniers de guerre, STO, recensement et exclusion des populations juive et étrangère font désormais partie du quotidien. Mais bientôt l'administration de Vichy, avec ses relais à la sous-préfecture, laisse la place aux soldats italiens, qui occupent la région pendant quelques mois, avant que les Allemands n'entrent dans le village en septembre 1943. Pierre-Marcel le sous-préfet, Aimé le milicien, Gertrude et David les écrivains juifs, Romans et Plutarque les résistants, et à quelques kilomètres de là les enfants de la colonie d'Izieu, deviennent les acteurs d'une histoire meurtrie.À rebours d'une histoire par le haut et centrée sur Paris et les métropoles françaises, les volumes de cette collection racontent l'histoire de France à travers le quotidien d'un village et de ses habitants, sur plusieurs mois ou années. Plus qu'un portrait de la France rurale à différents âges, chaque volume redonne vie à ces civils qui, à leur échelle, ont été témoins et acteurs de l'histoire, quand l'exceptionnel s'est immiscé dans leur existence. En retraçant minutieusement le destin d'individus et leur attitude face aux événements est ainsi rendu sensible le récit d'une époque.L'auteur, Pierre-Jérôme Bisacarat, est notre invitée en studioHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

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S19E25 - L'ascension de «Cairn», entretien avec Emeric Thoa et Mathieu Bablet

Silence on joue !

Play Episode Listen Later Feb 10, 2026 75:13

Nous avons le plaisir d'accueillir pour un format format interview Emeric Thoa, cofondateur de The Game Bakers et directeur créatif sur Cairn, et Mathieu Bablet qui officie en tant que directeur artistique et scénariste sur le jeu. Nous étions curieux d'en savoir plus sur ce qui les a poussés à faire ce jeu et nous voulions discuter de ce gameplay étrange, du travail assez unique autour du son, et aussi en savoir davantage sur l'implication de Mathieu Bablet, un auteur de BD accompli qu'on n'avait encore jamais vu s'aventurer sur le terrain du jeu vidéo. C'est à l'origine un entretien réalisé pour être publié dans les pages de Libération, mais nous avons profité de l'occasion pour en faire un épisode à part entière.Pour commenter cette émission, donner votre avis ou simplement discuter avec notre communauté, connectez-vous au serveur Discord de Silence on joue!Soutenez Silence on joue en vous abonnant à Libération avec notre offre spéciale à 6€ par mois : https://offre.liberation.fr/soj/CRÉDITSSilence on joue ! est un podcast de Libération animé par Erwan Cario. Cet entretien a été enregistrée le 24 septembre 2025 avec Marius Chapuis. Réalisation : Erwan Cario. Musique : Rise et The Mountain is calling, de The Toxic Avenger, Fatigue Is In Your Head de Martin Stig Andersen, feat. Gildaa. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

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#516: Xenia Soborova, Head of BD at Tramplin, on The Solana Ecosystem, Solana Staking, and Business Development in crypto

CryptoNews Podcast

Play Episode Listen Later Feb 10, 2026 25:51

Xenia Soborova is a Web3 business development leader and Head of BD at Tramplin.io, a Solana-native premium staking app that redistributes network's inflationary rewards among users to make staking profitable even with a small amount of SOL. Previously, she worked at the Avalanche Foundation on ecosystem growth and founder success and has also held roles across major Web3 teams, including Binance, RARI Foundation, and SQD.ai. She has co-founded BD in Web3, the largest Telegram community for Web3 founders, BDs, and growth hackers. In this conversation, we discuss:- Working with different crypto ecosystems - Solana is the people's chain - Staking innovation - Community-oriented reward redistribution - Solana staking - Solana's native economics - Long-term DeFi engagement - Keeping SOL Secure - BD in crypto - Solana staking Tramplin.ioX: @Tramplin_ioWebsite: www.tramplin.ioTelegram: t.me/Tramplin_ioXenia SoborovaX: @cryptophilienneLinkedIn: Xenia Soborova---------------------------------------------------------------------------------This episode is brought to you by PrimeXBT.PrimeXBT offers a robust trading system for both beginners and professional traders that demand highly reliable market data and performance. Traders of all experience levels can easily design and customize layouts and widgets to best fit their trading style. PrimeXBT is always offering innovative products and professional trading conditions to all customers. PrimeXBT is running an exclusive promotion for listeners of the podcast. After making your first deposit, 50% of that first deposit will be credited to your account as a bonus that can be used as additional collateral to open positions. Code: CRYPTONEWS50 This promotion is available for a month after activation. Click the link below: PrimeXBT x CRYPTONEWS50FollowApple PodcastsSpotifyAmazon MusicRSS Feed

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Le manga à l'épreuve de l'occasion – La 5e de Couv – #5DC – Saison 11 épisode 22

Manga Tv - Podcast - La 5e de couv'

Play Episode Listen Later Feb 10, 2026 66:59

Quelle place occupe le manga dans le marché de l’occasion ? Il est partout, mais rarement interrogé. Brocantes, librairies spécialisées, plateformes en ligne, ventes entre particuliers : le manga circule, change de mains, se revend,... L'article Le manga à l'épreuve de l'occasion – La 5e de Couv – #5DC – Saison 11 épisode 22 est apparu en premier sur La 5e de Couv' - Le podcast de débat autour du manga !.

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Nos ami(e)s les libraires #1 : le Comptoir du Rêve Comics, avec Guillaume Clavery

The Elite Recruiter Podcast

Play Episode Listen Later Feb 10, 2026 107:00

Ça y est, c'est le moment ! Après plusieurs mois de teasing, nous sommes prêts à vous dévoiler l'un de nos nouveaux rendez-vous régulier avec ce format Nos ami(e)s les libraires ! Il s'agit d'une déclinaison de nos formats SuperFriends qui s'intéresse plus précisément au métier de libraire. Il n'y avait pas de piège dans l'intitulé ! Nous avons déjà de nombreuses fois mis en avant la profession, et nous irons cette fois interroger des libraires partout en France pour qu'ils nous racontent leur façon de vivre le métier et d'arranger leurs rayons. À l'heure où nous enregistrons ce podcast, plusieurs émissions sont déjà faites et on peut déjà dire qu'il y a des similitudes mais aussi beaucoup de différences et de singularités. Nous sommes donc certains que cette maxi-série sera riche d'enseignements !Rendez-vous à Toulouse !Pour cette première émission, nous avons le plaisir d'avoir à notre micro Guillaume Clavery du Comptoir du Rêve Comics à Toulouse ! Nous sommes allés le voir en novembre 2025 - au moment d'enregistrer un podcast avec Brian K. Vaughan et Niko Henrichon - et avons pris le temps de discuter longuement de son parcours, et de la façon dont il met aussi en avant les coulisses de son travail via YouTube avec sa chaîne "Backstage".Avis aux libraires qui nous écoutent : on sera ravis de faire un tour chez vous et de faire une émission si vous le souhaitez, discutons en par mail ! Vous savez normalement où me contacter :) Du reste si le travail vous plaît, ne manquez pas de le faire savoir, faites découvrir le podcast en ligne, parlez-en autour de vous, souscrivez à nos plateformes, à notre Substack, venez sur Discord, aidez-nous avec Tipeee ! Nous avons encore plein de choses à partager ! Merci de nous avoir écoutés !Soutenez First Print - Votre podcast comics (& BD) préféré sur TipeeeHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Surya Bonaly : "J'ai été la pionnière, une des premières Françaises de couleur à aller aux Jeux olympiques d'hiver"

Le monde d'Elodie

Play Episode Listen Later Feb 10, 2026 19:55

durée : 00:19:55 - Le monde d'Elodie - par : Elodie SUIGO - Tous les jours, une personnalité s'invite dans le monde d'Élodie Suigo. Mardi 10 février 2026, l'ancienne patineuse artistique Surya Bonaly. Elle publie la BD, "Surya Bonaly, le feu sur la glace", aux éditions Marabulles. Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

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How Top Recruiters Keep Billing When Hiring Freezes

Play Episode Listen Later Feb 9, 2026 59:36

Hiring froze. Budgets stalled. Confidence disappeared. Yet some recruiters stayed busy—and kept billing while others panicked.

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Cannoli, Crisis, and Chicken Stir-Fry: A Monday Morning Mix!

The Guy Gordon Show

Play Episode Listen Later Feb 9, 2026 8:27

February 9, 2026 ~ Chris Renwick, Lloyd Jackson, and Jamie Edmonds spoke with Mike Lee, Crain's Detroit Business editor. They discussed a new data center, Henry Ford Hospital's psychiatric beds, and BD's Mongolian Grill closing. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

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Stoere Kerels | ‘Zege op RKC is belangrijk, lekker en terecht, maar hoe Willem II begon... Onbestaanbaar'

Stoere Kerels, de podcast

Play Episode Listen Later Feb 9, 2026 50:41

In de podcast ‘Stoere Kerels’ bespreken BD-clubwatchers Dolf van Aert en Job Willemse wekelijks het wel en wee van Willem II. In aflevering 25 gaat over de benauwde derbyzege op RKC.Beluister al onze podcasts: https://www.bd.nl/podcastSee omnystudio.com/listener for privacy information.

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vol.1367 开运暴走: 蔡依林演唱会玄学与南下逛吃实录

Play Episode Listen Later Feb 8, 2026 151:00

一场演唱会的舞台设计，为何会引发玄学争议？近期蔡依林演唱会因巨蛇、金牛等舞台装置，被传是邪教借运现场，引发不少热议。但其实这是一场对艺术和玄学的双重误解，别急，细听张博慢慢给您解读。判断自身身强还是身弱，有几个简单方法，节目中，张博教你快速判断身强身弱，帮你更好的生活。马年南下能转运？放眼我国南部城市，有哪些好吃好玩的？又有哪些宗教圣地呢？您细听张无梦老师和划水怪娓娓道来～更多精彩内容，欢迎收听本期节目~主播 / 相征嘉宾 / 张无梦音频后期 / 陆凯BBBBUDDHA音频上传 / 恬恬-本节目由深夜谈谈 Midnight Network出品 -Timeline:00:03:14 蔡依林演唱会引发争议00:11:20 从艺术角度分析00:17:17 无梦老师和蔡依林的渊源00:30:30 如何“集气”？00:39:39 手把手教你判断自己身强身弱00:48:27 插播一下：属兔之人马年运势00:55:45 长白山之旅01:10:51 马年开运小妙招01:13:45 广州可是个风水宝地01:33:36 江门值得一提01:37:49 香港之旅乐趣多01:56:13 南京的寺庙有点说法02:06:22 上海美食可真不错02:28:55 Jason Mraz,Colbie Caillat - Lucky叮咚！这份马年专属招财吉物请查收！大内夜市携手深耕传统神话领域的方佳翮老师，重磅推出「马上有财」赵公明正财神金卡，以足金999为底，凝八方财气与匠心工艺，为新岁添满财福底气。微信小程序搜索「大内夜市」即可购买！大内夜市近期上新！大内人气玄学嘉宾张无梦为女性量身打造4款文玩手串，旺金财运、金玉良缘、扶摇直上、顺遂安然，电子木鱼弱爆了！物理配饰积功德，玄学朋克，硬核转运！微信搜索「大内夜市」即可购买！深夜谈谈招聘啦，本次开放岗位——全职：1、电商&旅行运营 2、BD&AE 全职或兼职：视频编导，感兴趣的朋友们请发送求职信+简历+个人作品请发送至邮箱jobs@midnightalks.com深夜谈谈播客网络旗下播客：大内密谈、枕边风、空岛、随便聪明、淮海333-你还可以在这里找到我们：小红书：@深夜谈谈、@相征terry、@miyaB站：@大内密谈midnightalks视频号&抖音：@深夜谈谈微博：@大内密谈微信公众号：大内密谈商务合作邮箱：biz@midnightalks.com加听众群：加深夜谈谈子微信（微信号:SYTT-midnightalks）并回复【听众群】即可进群。

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Exquisite Corpses : dans les coulisses d'un jeu de massacre, avec James Tynion IV [SuperFriends VO]

Baleine sous Gravillon (BSG)

Play Episode Listen Later Feb 8, 2026 51:34

Le bal des interviews de superstars de la bande dessinée américaine se poursuit ! Pour la troisième fois, James Tynion IV, l'une des voix les plus importantes sur les sphères du creator owned de l'autre côté de l'Atlantique, est à nos côtés ! Cette-fois, le scénariste est venu en France pour accompagner le lancement de sa nouvelle série Exquisite Corpses, créée en compagnie de Michael Walsh, et publiée chez Urban Comics. On décortique l'histoire, les thématiques, et surtout le processus créatif bien particulier de cette série écrite collégialement !Cadavre très exquisAinsi, en compagnie de l'auteur (Michael n'était hélas pas disponible, mais nous comptons bien lui parler séparément dans un futur proche) nous explique comment a été façonnée l'aventure Exquisite Corpses, qui a réuni autour d'elle toute une writing room, à la façon de séries télévisées. Et parlant de ça, vous verrez que James a bien de la suite dans les idées autour de ce qui est à considérer comme une véritable franchise en construction...Vous pouvez commander Exquisite Corpses #1 à ce lien !Si vous appréciez notre travail, il est important de le faire savoir et de participer à faire découvrir le podcast ! Vous pouvez partager les émissions, les commenter, noter le podcast, en parler autour de vous, venir sur notre Discord, mais aussi nous soutenir via notre Tipeee ! Merci à toutes et tous de votre écoute et à bientôt pour le prochain podcast !Soutenez First Print - Votre podcast comics (& BD) préféré sur TipeeeHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

S07E86 La Schtroumpfe bleue 5/6 : Pourquoi les Schtroumpfs sont bleus ?

Play Episode Listen Later Feb 8, 2026 11:46

Que seraient nos schtroumpfes sans les couleurs ? Leurs rôles dans le Vivant sont souvent mé- ou inconnus du grand schtroumpf. Pourtant, elles sont un des langages, une des conditions sina qua non du Vivant… Il était tant que BSG consacre aux couleurs une grande schtroumpfe inédite.Aujourd'hui le bleu : la couleur la plus rare dans le monde vivant… et de ce fait si précieuse pour le schtroumpf. C'est universellement la couleur préférée, celle des rois et même des Schtroumpfs…Invité : Frédéric Schtroumpf, biologiste et chercheur, auteur de Toutes les couleurs de la Schtroumpfe (Quae, 2025).___

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Cheap Lunch; Double the Snow; Requiem For Bahama Breeze; Stellantis Under Stress

Daily Detroit

Play Episode Listen Later Feb 6, 2026 24:57

Are your ready for the weekend? Mr. Friday Devon O'Reilly is in and we've got some recommendations on where we've been — two cheap but good lunch spots. Plus, Devon shares a requiem for Bahama Breeze that after April 5 will leave this earth. Then, we get into the mess that is Stellantis and what might happen to some brands that have a lot of Detroit history. Here's the rundown: 01:11 - Detroit's gotten double the snow this year, and facing a national salt shortage 04:03 - Where we've been: $10 Meal 07:51 - Why Thousand Island Dressing is called Thousand Island Dressing 08:21 - Where we've been: Kitab Cafe 10:47 - A Requiem for Bahama Breeze and End of the line BD's Mongolian Grille 14:12 - What are the best Bahama Breeze dishes? 15:28 - Devon thinks BD's was overrated 17:03 - Stellantis is under stress but what about Jeep, Chrysler and all these names Detroiters know? Feedback as always - dailydetroit -at- gmail -dot- com or leave a voicemail 313-789-3211. Follow Daily Detroit on Apple Podcasts: https://podcasts.apple.com/us/podcast/daily-detroit/id1220563942 Or sign up for our newsletter: https://www.dailydetroit.com/newsletter/

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Jennifer Gillman: How to Become a Happy Rainmaker Early

BE THAT LAWYER

Play Episode Listen Later Feb 6, 2026 30:14

In this episode, Steve Fretzin and Jennifer Gillman discuss:Building rainmaking as a sustainable, early-career practiceShifting mindset to overcome fear and unlock visibilityUsing small, consistent actions to compound business developmentGaining autonomy by moving from service partner to rainmaker Key Takeaways:Becoming a happy rainmaker is not a late-career scramble but a long game that should begin as early as law school or the first years of practice. By consistently maintaining relationships with classmates and peers, lawyers build familiarity and trust over time. This approach replaces transactional job-seeking with organic, referral-based growth.A core barrier to business development is the fear of judgment, captured by the reminder that what other people think of you is none of your business. This mindset shift frees lawyers to show up on LinkedIn, speak publicly, and introduce themselves without self-consciousness. Confidence grows through action rather than perfection.Rainmaking does not require massive time blocks but thrives on small, intentional habits repeated consistently. Even 15 to 20 minutes a week spent nurturing relationships or learning LinkedIn and AI tools can create long-term leverage. Like compound interest, steady effort builds momentum and results.Rainmakers gain control over clients, schedules, and priorities, while service partners remain dependent on others for work and timing. Building a book of business early reframes BD as an investment in future autonomy rather than an added burden. This shift creates greater flexibility and career control. "If you can develop one dollar of business, you can develop a million dollars or ten million." — Jennifer Gillman Check out my new show, Be That Lawyer Coaches Corner, and get the strategies I use with my clients to win more business and love your career again. Ready to go from good to GOAT in your legal marketing game? Don't miss PIMCON—where the brightest minds in professional services gather to share what really works. Lock in your spot now: https://www.pimcon.org/ Thank you to our Sponsor!Rankings.io: https://rankings.io/Lawyer.com: https://www.lawyer.com/ Ready to grow your law practice without selling or chasing? Book your free 30-minute strategy session now—let's make this your breakout year: https://fretzin.com/ About Jennifer Gillman: Jennifer Gillman is President and Founder of Gillman Strategic Group, a legal recruiting firm that helps law firm partners find the right fit so they can thrive and enjoy practicing law. A former lawyer herself, Jennifer spent 12 years in practice before becoming a recruiter, and she is known for her candidate-focused, confidential, and thoughtful approach to career matchmaking. She earned her J.D. from New York University School of Law and her undergraduate degree from Brandeis University. Connect with Jennifer Gillman: Website: https://gillmanstrategicgroup.com/LinkedIn: https://www.linkedin.com/in/jennifer-gillman-law-firm-matchmaker/ Connect with Steve Fretzin:LinkedIn: Steve FretzinTwitter: @stevefretzinInstagram: @fretzinsteveFacebook: Fretzin, Inc.Website: Fretzin.comEmail: Steve@Fretzin.comBook: Legal Business Development Isn't Rocket Science and more!YouTube: Steve FretzinCall Steve directly at 847-602-6911 Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it.

TRP 294: Walking the Culture Talk with Alejandra Ramirez

Staffing & Recruiter Training Podcast

Play Episode Listen Later Feb 5, 2026 27:47

Episode 294 focuses on the gap between “we have great culture” and the day-to-day behaviors people actually experience inside a firm. Scott interviews Alejandra Ramirez, founder of Ready Cultures and a longtime internal communications leader in big law, on what it really means to “walk the culture talk.” Her definition is simple but demanding: culture is credibility—aligning stated values with observable actions. She argues firms should start by auditing whether claimed values (like collaboration or transparency) show up in real behaviors (cross-selling between practices, sharing information with BD teams, etc.). Culture isn't a slogan; it's a set of conditions leadership actively creates, and when words and actions don't match, trust erodes and performance suffers. Alejandra then lays out how leaders close the gap: clear, consistent, actionable communication; active listening and feedback loops; and tying culture initiatives to measurable outcomes like engagement, retention, risk reduction, and cost savings. She emphasizes that firms recruit laterals on numbers but often lose them on fit—so culture must be evaluated explicitly during hiring through behavioral questions and by ensuring the “recruiting experience” matches the lived experience after arrival. Her three action steps: lead with curiosity (listen and ask questions), audit your internal communication system (tools, messages, measurement), and treat culture as a verb, not a noun—something you repeatedly do through choices, behaviors, and reinforcement. She also offers a practical “3H” framework (Head, Heart, Hands) to help leaders communicate change: facts, why it matters, and what to do next. Visit: https://therainmakingpodcast.com/ YouTube: https://youtu.be/iwev7mcnzcw ----------------------------------------

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Season 9 | Ep16 Logan Naidu: How he made 100 cuts after a £30M deal (and survived the downturn)

The RAG Podcast - Recruitment Agency Growth Podcast

Play Episode Listen Later Feb 4, 2026 65:50

Logan Naidu runs Kernel Global-a multi-brand recruitment group with 200 people across London, Hong Kong, Charlotte and New York.We first spoke in April 2021. He had 180 people. The market was about to explode.2021: £7 million EBITDA. 2022: £10 million EBITDA. Headcount doubled to 300.Then March 2023 hit. Logan closed a second PE deal. Paid out over £30 million to staff. The biggest individual payout? Multiple millions.One month later, he started making cuts."I remember talking to my father-in-law saying I'm really embarrassed by this. I've just taken on a load of money from new investors and we're already talking about making cuts and the business shrinking."By the end of 2023, Logan had cut 100 heads—a third of the business.But here's what makes this story different: he saw it coming.December 2022. Their Christmas party. Logan stood up and said: "I think we've forgotten how hard this industry can be. We've had a record year, but we're cutting corners. We're taking clients for granted. That's going to bite us if we don't get back to it really quickly."It was poorly received. Then 2023 happened.This week on The RAG Podcast, Logan breaks down the full story.We cover:Scaling from £4.9M to £10M EBITDA in three years during the boomWhy he warned his team in December 2022 that they'd "forgotten the basics"Closing a PE deal on a Saturday morning hours before Silicon Valley Bank collapsedMaking 100 cuts across two waves (and why the second wave was harder)The criteria he used to decide who stayed: character, work ethic, client treatmentWhy his sleepless nights dropped from 2–3 per week to 2–3 per yearRebuilding to 2022 levels by 2025 with a completely different foundationHis approach to AI, offshoring, and why he won't chase every new toolWhy he still hires graduates despite the cost and cultural shiftsThe plan to double the business again by 2029This isn't about avoiding pain.It's about a founder who moved fast, made hard decisions early, and came out the other side with a business built to last through cycles.If you've ever wondered how the best operators stay level when everyone else is drinking their own Kool-Aid, this episode is the blueprint.__________________________________________Episode Sponsor: Remote RecruitmentHiring shouldn't be slow, stressful, or expensive. That's why there's Remote Recruitment — the smart hiring partner for modern businesses.They don't just help you find great people. They help you access elite South African talent that's ready to deliver. No PAYE. No NI. No bloated overheads. Just trained, remote professionals who integrate seamlessly into your team.Their process handles everything: sourcing, shortlisting, onboarding, and retention. Fully managed. Fully supported. Fully remote.And now, Remote Recruitments has entered a new chapter. From ops to admin, sales to strategy, we're helping businesses scale smarter with people they trust, at a cost they can afford.Clients have seen:* Up to **60% productivity boosts*** **300% ROI** on BD roles* **30%

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Les petits secrets du jour - Jean-Philippe Tanguy, député RN de la Somme, Olivier Truchot et Alain Marschal : "Vous connaissez Maria Carolina ?" "Non, je n'ai pas eu ce plaisir et je crois que Jordan veut garder sa vie privée, priv

Play Episode Listen Later Feb 4, 2026 1:25

Aujourd'hui, Fatima Aït Bounoua, professeure de Français, Antoine Diers, consultant auprès des entreprises, et Mourad Boudjellal, éditeur de BD, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.

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La prise de position du jour - Fatima Aït Bounoua : "Je ne suis pas convaincue. En 1977, il cosignait une tribune pour légaliser les relations entre adultes et enfants. Il ne savait pas ? - 04/02

Play Episode Listen Later Feb 4, 2026 2:30

Aujourd'hui, Fatima Ait Bounoua, professeure de Français, Antoine Diers, consultant auprès des entreprises, et Mourad Boudjellal, éditeur de BD, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.

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L'engagement du jour - Jean-Philippe Tanguy, député RN de la Somme : "Il faut lutter contre la banalisation du port d'arme avec sanction pénale immédiate dès qu'un jeune en est porteur..." - 04/02

Play Episode Listen Later Feb 4, 2026 3:08

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L'accusation du jour - Jean-Philippe Tanguy, député RN de la Somme : "Monsieur Epstein a été condamné pour détournement de mineurs en 2008 et Monsieur Lang l'a fréquenté après. Nous faire croire qu'il ne savait rien, c'es

Play Episode Listen Later Feb 4, 2026 2:49

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Affaire Epstein : convaincus par Jack Lang ? - 04/02

Play Episode Listen Later Feb 4, 2026 13:24

A 10h, ce mercredi 4 février 2026, les GG : Fatima Ait Bounoua, professeure de Français, Antoine Diers, consultant auprès des entreprises, et Mourad Boudjellal, éditeur de BD, débattent de : Éclaboussé par l'affaire Epstein, Jack Lang s'explique.

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Le débat du jour - Mourad Boudjellal, Antoine Diers et Olivier Truchot : "J'estime que quand on a mis la main dans le pot de confiture, même si on dit qu'elle était allégée, on l'a quand même fait" - 04/02

Play Episode Listen Later Feb 4, 2026 1:38

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Le témoignage du jour - Julien au 3216 : "Mon fils a fait l'objet d'une mesure éducative. Grâce à un encadrement étroit et au dialogue avec l'équipe et son éducateur, cela a fonctionné" - 04/02

Play Episode Listen Later Feb 4, 2026 3:32

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L'analyse du jour - Fatima Aït Bounoua : "On oppose l'éducation 'à l'ancienne' et l'éducation 'positive'. Or la première a traumatisé des personnes et produit des adultes violents" - 04/02

Play Episode Listen Later Feb 4, 2026 1:21

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Prof poignardée : les fouilles de sacs, vraiment utiles ? - 04/02

Play Episode Listen Later Feb 4, 2026 28:09

A 10h, ce mercredi 4 février, les GG : Fatima Ait Bounoua, professeure de Français, Antoine Diers, consultant auprès des entreprises, et Mourad Boudjellal, éditeur de BD, débattent de : Drame à Sanary-sur-Mer, une prof poignardée par son élève.

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La recommandation du jour - Olivier Truchot : "En déplacement à Sanary-sur-Mer, le ministre de l'éducation a dit "le risque zéro n'existe pas". Il ne peut pas dire ça" - 04/02

Play Episode Listen Later Feb 4, 2026 2:56

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L'avis du jour - Olivier Truchot : "Qu'on condamne Marine Le Pen, très bien, c'est la loi. Mais qu'on la condamne à l'inégibilité pendant cinq ans, c'était au peuple de choisir" - 04/02

Play Episode Listen Later Feb 4, 2026 3:17

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Les vapoteurs nous pourrissent-ils la vie ? - 04/02

Play Episode Listen Later Feb 4, 2026 8:26

Au menu de la troisième heure des GG du mercredi 4 février 2026 : Les vapoteurs nous pourrissent-ils la vie ? avec Fatima Ait Bounoua, professeure de Français, Antoine Diers, consultant auprès des entreprises, et Mourad Boudjellal, éditeur de BD.

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Les Grandes Gueules du 4 février : Fatima Ait Bounoua, Antoine Diers et Mourad Boudjellal - 10h/11h

Play Episode Listen Later Feb 4, 2026 43:32

Au menu de la deuxième heure des GG du mercredi 4 février 2026 : "Prof poignardée : les fouilles de sacs, vraiment utiles ?" et "Affaire Epstein : convaincus par Jack Lang ?", avec Fatima Ait Bounoua, professeure de Français, Antoine Diers, consultant auprès des entreprises, et Mourad Boudjellal, éditeur de BD.

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La comparaison du jour - Antoine Diers : "ça semble compliqué. Le procès en appel n'a pas du tout modifié la donne. Moi je voudrais quand même revenir sur l'affaire des assistants parlementaires du modem" - 04/02