Podcasts about DUR

Hva kan skole- og utdanningshistorie fortelle oss om dagens skole? Hvordan endte vi opp med den skolen vi har idag, og hvilke ideer og politiske bestemmelser har vært med på å forme den? I de nye doktoravhandlingene til Simon Malkenes og Elise Djupedal, begge to avlagt ved NTNU i fjor høst, og som begge har fått langt mer oppmerksomhet i offentligheten enn hva en gjennomsnittlig doktoravhandling vanligvis får æren av, får vi mer innsikt i noen av de tema og debattene som har vært med på å prege den norske skolen.   Vi snakker om Elises arbeid med timetallsøkninger i grunnskolen, og om Simons utforskning av humankapitalteorier og deres innflytelse på norsk skolepolitikk.    Hva er det egentlig som skjer når skolereformer skal gjennomføres, hvor gjennomtenkt og planlagt er det hele, og hvorfor er det så vanskelig å frigjøre seg fra de reformer som allerede er gjort? Er det kraften i de bedre argumenter som får råde i skoledebatten, eller må vi litt dypere ned i de mer usynlige maktspillene for å forstå hva det er som foregår? Og hvorfor bør skoleforskningen begynne å fokusere mindre på de store reformene og utredningene, og mer på de mer anonyme men desto viktigere tekstene som det norske skolebyråkratiet produserer?   Vi snakker også om skoledebatten i etterkrigstiden, om sentralisering, fremskrittstro, forskjellene på bygdeskolene og byskolene, enhetsskolen og Forsøksrådet, Jens Bjørneboes Jonas, ulike kunnskapsformer og deres innflytelse på den norske skolen, om hvordan både Høyre og Arbeiderpartiet var med på å dra skolen i samme retning, men også uintenderte konsekvenser av politiske valg og stiavhengighet, leken og barndommens egenverdi, hvilke erfaringer de har gjort seg fra deltakelsen i den offentlige debatten om skolen, og mye annet.    Både Simon og Elise er tidligere gjester på podkasten, i henholdsvis episode 93 og 120. Da snakket vi om doktorgradsprosjektene deres i en tidlig fase av arbeidet, mens vi idag skal vi få høre om det endelige resultatet, og om hvordan det har vært å arbeide såpass intenst med disse tema i fire-fem år. Dette er dessuten første gangen de to opptrer sammen i en diskusjon av deres arbeider.      Tidligere opptredener her på podkasten:  https://larsogpaal.libsyn.com/episode-120-mer-og-mer-skole-med-elise-farstad-djupedal  https://larsogpaal.libsyn.com/episode-93-simon-malkenes-om-skole-humankapital-og-konomi    ---------------------------- Logoen vår er laget av Sveinung Sudbø, se hans arbeider på originalkopi.com   Musikken er av Arne Kjelsrud Mathisen, se facebooksiden Nygrenda Vev og Dur for mer info. ----------------------------    Takk for at du hører på. Ta kontakt med oss på larsogpaal@gmail.com   Det finnes ingen bedre måte å få spredt podkasten vår til flere enn via dere lyttere, så takk om du deler eller forteller andre om oss.    Både Lars og Pål skriver nå på hver sin blogg, med litt varierende regelmessighet. Du finner dem på disse nettsidene: https://paljabekk.com/ https://larssandaker.blogspot.com/   Alt godt, hilsen Lars og Pål

Abrimos el programa hablando con Ángeles Alonso, TCAE y miembro del equipo de trabajo en Asturias, con motivo de las concentraciones del colectivo sanitario este jueves, antes de abordar una nueva entrega del Consejo de Actualidad, que en esta ocasión contará con las voces de Ramón Durán, Jacobo Blanco y Oscar Rodríguez Buznego. A continuación, hablamos con Alicia Vallina, conservadora de museos, para más tarde hablar de mujeres escritoras con Patricia Suárez, que hoy tendrá como invitada a Rosario Villajos, y cerrar el programa hablando de música con Drest González Arias, que hoy nos trae como invitado a Edgar Lee Junior.

Dur dur de comprendre le casse-tête des trans et des non binaires… Le point sur la situation au Mexique. Bordel météo aux États-Unis. Carney en mission. Une facture salée pour curam… Élections partielles dans Chicoutimi. Défaite crève-coeur pour le Canada aux JO. Constats de fin de jeux. Tour de table entre Marianne Bessette, Alexandre Dubé et Mario Dumont. Regardez aussi cette discussion en vidéo via https://www.qub.ca/videos ou en vous abonnant à QUB télé : https://www.tvaplus.ca/qub ou sur la chaîne YouTube QUB https://www.youtube.com/@qub_radioPour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Bienvenue dans un nouvel épisode de Corps & Esprit, le podcast qui muscle ton corps et renforce ton esprit.Dans cet épisode, on reçoit Victor Laroche, naturopathe spécialisé en digestion, pour démonter tous les mythes sur les ballonnements, le gluten, le lactose, les fibres, le jeûne intermittent… et même le stress. 

Moderator: João Durães (Coimbra, Portugal) Guests: Paola Giunti (London, UK), Lidia Sarro (Milan, Italy) In this episode, João Durães, Paola Giunti and Lidia Sarro provide a rigorous examination of the diagnostic and therapeutic landscape of treatable ataxias, focusing on rare variants. The discussion first delineates autoimmune etiologies, such as anti-GAD, paraneoplastic, and gluten-related syndromes, before transitioning to a detailed review of acquired and genetic metabolic disorders, including vitamin deficiencies, NPC, Refsum disease, Glut1 deficiency, CTX, and Wilson's disease among others. By highlighting critical clinical and paraclinical "red flags," the contributors offer a framework for accelerating differential diagnosis. The session concludes with an analysis of contemporary pharmacological advancements, notably the recent EMA approval for Friedreich's Ataxia and the efficacy of repurposed drugs in treating genetic forms such as EA1/2 and SCA27B.

Tras tres días de búsqueda ininterrumpida, este sábado fue encontrado el cuerpo de Kiara, la niña de 10 años que había sido arrastrada por la crecida del arroyo durante el violento temporal que azotó a Paraná. La confirmación del hallazgo fue brindada a EME por el periodista paranaense Jeremías Duré y se produjo en la zona del Thompson.

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

A Transparência Internacional divulgou recentemente o Índice de Percepção da Corrupção 2025, que coloca a Dinamarca no topo da tabela, com 89 pontos, e o Sudão do Sul na última posição, com apenas nove. A França surge com 66 pontos, numa escala de 0 a 100, o valor mais baixo de sempre desde a criação do índice, em 1995. A descida ocorre após três casos de corrupção de grande impacto mediático que marcaram a actualidade francesa. Para Adriano do Vale, professor de Economia na universidade Poitiers e autor da obra "A Independência dos Bancos Centrais à luz da história, do pensamento e das práticas", o resultado reflecte a percepção que os próprios franceses têm do estado do país. A França surge com 66 pontos, numa escala de 0 a 100, o valor mais baixo de sempre desde a criação do índice, em 1995. Como é que se explica esta tendência? O índice produzido pela Transparência Internacional é, antes de mais, um índice de percepção, que tem como base sondagens, inquéritos de certa forma semelhantes a outros inquéritos e sondagens de opinião. Ou seja, aqui reúnem-se dados sobre a maneira como as populações percepcionam e compreendem estes fenómenos. Daí que a evolução que se regista para a França se deva à maneira como os franceses percepcionam a corrupção no seu país. E isso deve-se apenas a uma questão de percepção, o que tem muito a ver, claro, com a opinião pública, com a opinião publicada e com os acontecimentos recentes em França. A Transparência Internacional cita os escândalos políticos ligados ao ex-Presidente Nicolas Sarkozy, que foi preso 20 dias em Outubro, depois de ter sido considerado culpado de solicitar ilegalmente fundos ao ex-líder líbio Muammar Kadhafi. E um outro caso ainda em julgamento: a líder da extrema-direita, Marine Le Pen, e outros membros do Partido Nacional, que foram considerados culpados, em Março, por desvio de fundos do Parlamento Europeu. De que forma é que estes casos mancham a imagem da França no Índice de Percepção da Corrupção? Em ambos os casos, trata-se de aspectos financeiros, mas que dizem respeito, antes de mais, à vontade dos políticos de acumular poder, de se manterem no poder e de reforçarem as suas posições. Ou seja, uma dinâmica bem interna à política que, apesar de tudo, envolve aspectos que podem ser conotados como sendo de corrupção. No caso do ex-Presidente Sarkozy, neste dossiê líbio, prende-se com a campanha eleitoral, com a vontade de ser eleito e com a necessidade, pelo menos do ponto de vista do candidato, de ter o maior número de recursos, sabendo, claro, que os recursos empregues numa campanha estão relacionados com os resultados eleitorais a obter. E, na altura, ao que se pôde averiguar, houve dinheiro da parte de Kadhafi, da Líbia, que veio para a campanha de Sarkozy. E aqui o que se passa é que estamos a falar de um país e de um líder que eram considerados persona non grata e que estiveram envolvidos, segundo o que foi averiguado, em actividades terroristas. Depois há ainda o caso de Marine Le Pen… No caso de Marine Le Pen, estamos a falar de um outro tipo de benefício: não o de ser eleita, mas, claro, o de acumular poder, de ter vantagem para o partido. Estamos a falar de fundos europeus desviados. Vamos esperar pela decisão final, mas, por enquanto, é essa a leitura da Justiça francesa. Fundos europeus que vêm das contribuições do Estado -porque, sublinhamos, o orçamento europeu é essencialmente composto por contribuições dos Estados -e, neste caso, o partido terá organizado um sistema em que o dinheiro que era dado para os assistentes parlamentares estava a ser, quase na íntegra, canalizado unicamente para a actividade da Frente Nacional em França, segundo a leitura da Justiça. Ou seja, há aqui uma zona algo cinzenta. Nem sempre é fácil definir o que é a actividade francesa de um partido e o que é a actividade europeia de um partido. Mas, neste caso, segundo o ponto de vista da Justiça, não há dúvidas de que essa linha foi transposta, porque esses assistentes parlamentares não trabalhavam para causas europeias. Em Maio, o Senado francês publicou um relatório onde revelou que o Governo encobriu fraudes contra consumidores perpetradas pela gigante alimentar Nestlé, permitindo à empresa utilizar tratamentos proibidos para produzir águas minerais naturais, incluindo a Perrier. Aqui estamos perante um caso que é mais de captura de interesses? Sem dúvida. Aqui, contrariamente aos dois casos anteriores, em que, por mais que haja uma potencialidade de corrupção no caso de Sarkozy e uma dinâmica bem política no outro caso, estamos perante uma interface entre o político e os interesses privados, nomeadamente empresariais. E aqui a análise muda de perspectiva e torna-se claramente uma análise do âmbito da corrupção ou do conflito de interesses. A corrupção é definida, nomeadamente no direito francês, como um processo ou comportamento pelo qual são solicitadas, aceites ou recebidas ofertas, promessas, donativos ou presentes com vista a uma contrapartida, consistente na obtenção de um acto, favor ou vantagem. Ou seja, a corrupção pressupõe uma relação. Neste caso, sendo ainda necessário esclarecer certos aspectos, com ou sem contrapartidas directas, verifica-se a capacidade de interesses privados fazerem valer os seus objectivos, muitas vezes influenciando a não aplicação de normas ou a aprovação de determinadas regulações. O conflito de interesses é uma noção um pouco mais subtil, mas a fronteira aqui também não é fácil de estabelecer. O conflito de interesses é aquele caso em que se pode suspeitar que alguém que tenha um cargo público não esteja a servir o interesse geral, mas sim o seu próprio interesse ou o interesse de um terceiro. E aqui entramos numa zona em que, à partida, não é necessariamente uma mala de dinheiro. A contrapartida pode ser, por exemplo, uma nomeação futura para o sector privado, depois do exercício do cargo público, uma reconversão no sector que foi regulado. Uma facilitação para que determinada pessoa obtenha um cargo?  Com certeza. Ou, por exemplo, o facto de Durão Barroso, após ter sido presidente da Comissão Europeia, ter ido para a Goldman Sachs Europa gerou uma grande controvérsia nesse sentido, quanto à reconversão do detentor de cargo público após esse mesmo período de mandato. Pode-se questionar até que ponto esse detentor de cargo público foi íntegro, foi independente. Pode ter havido um pacto de corrupção implícito que tenha estado na base de uma promessa de emprego futuro. E depois o que é que se passa? Há uma troca de favores, de endereços, de contactos, do conhecimento da máquina legislativa, da máquina política, de acesso, etc. E é esse tipo de troca de favores que está em causa. Além disso, chega-se ainda à conclusão de que há falta de recursos e de liderança na luta contra a corrupção. De que forma é que a transparência da vida pública e a regulação económica podem ser importantes na luta contra a corrupção? Estamos a falar aqui da qualidade das políticas públicas. E estamos a falar não só da qualidade no sentido de elas serem eficazes, de atingirem os objectivos que se propõem, sejam eles o desenvolvimento económico, a coesão social e territorial, a luta contra as desigualdades ou a preservação do ambiente. Estamos a falar de atingir os objectivos, ou seja, trata-se da questão da eficácia. Estamos a falar também da questão da eficiência: atingir esses objectivos com o menor custo, com boa gestão dos dinheiros públicos, dos fundos públicos, com qualidade das instituições. Mas eu diria mais: a questão da legitimidade. É aí que a questão se torna mesmo difícil e complicada neste momento para a Europa. Ou seja, quando falta legitimidade à política e às instituições, a democracia está enfraquecida. E aqui combinam-se vários aspectos. Um é o sentimento de impotência, que vem muitas vezes da ideia de que há muita supranacionalidade. No caso europeu, por exemplo, há certos aspectos que não estão na mão dos políticos, nomeadamente em termos de política económica. Faltam ferramentas, mas, no entanto, esses políticos são responsabilizados pelos resultados económicos perante as suas populações. Noutros casos, temos agências independentes, como, por exemplo, o Banco Central Europeu, que é ao mesmo tempo supranacional e independente, mas também uma série de agências a nível nacional que levam à diluição das responsabilidades e dos poderes, o que também não favorece a eficácia da acção pública. Estes comportamentos podem justificar esta estagnação na Europa relativamente à queda dos índices de corrupção? Eu falava da percepção que os franceses têm da política. Vimos há dias um instituto de sondagens a mostrar que só 22% dos franceses têm confiança na política. E estabelecemos a questão do sentimento de impotência: por um lado, as forças da mundialização, a integração económica, as agências independentes, uma democracia que é esvaziada, no fundo, do seu poder e da sua capacidade de transformar a vida real. E depois este sentimento de que a política está ao serviço de certos interesses pessoais, de que os políticos não só governam para si mesmos, em certos casos, mas também governa para servir interesses particulares. E a questão dessa captura pelos interesses privados.

Égalité, burnout et quête de sens : le courage d'oser tardivementÉgalité homme-femme, burnout et quête de sens : dans cet épisode de hrmeetup.©, Gunay Kaplan partage un parcours singulier marqué par l'immigration, la famille, la résilience et le courage d'oser tardivement.Après vingt années consacrées à sa famille et à l'activité indépendante de son mari, elle traverse une dépression et entame un chemin de formation en constellations familiales et thérapie corporelle quantique. Son témoignage interroge la place des femmes, la charge mentale, la transmission générationnelle et la difficulté à concilier vie privée et professionnelle.Dans un contexte RH, cet échange questionne :– le lien réel entre burnout privé et performance au travail– la recherche de sens– l'importance de l'intelligence émotionnelle– la place encore taboue du spirituel en entrepriseConstellations familiales, QuanticScan, massage initiatique : au-delà des mots, il est ici question d'évolution, d'alignement et de responsabilité individuelle.Podcast produit par The Podcast Factory Org asbl-vzwEnregistré chez transforma bxlÉpisode disponible avec transcription complète et traductions (sous titres sur Youtube @thepodcastfactoryorg)#PodiBuzLiens:Site Internet FaceBookInstagramSéquençage du podcast:[00:00:01] Introduction et contexte[00:00:17] Le rêve d'adolescente[00:00:56] Les études[00:01:12] Parcours de la Turquie à la Belgique[00:01:37] Ce qui donne de l'énergie[00:01:46] Parcours professionnel en Belgique[00:02:22] Le déclic d'entreprendre[00:03:27] S'être oubliée dans le rôle familial[00:05:04] Message aux femmes[00:06:35] Début des formations en 2016[00:07:10] Dépression et risque de burnout privé[00:07:32] S'éveiller et oser : sortir du cadre[00:08:00] Sandra Grimaldi et les premiers pas[00:08:37] Spiritualité et évolution des mentalités en entreprise[00:09:25] Burnout, consommation et perte d'essence[00:09:47] Début de la pratique professionnelle en 2022[00:09:55] Les services de Gunay[00:11:12] Transmission générationnelle et lignée féminine[00:12:09] Thérapie corporelle quantique[00:12:32] Confidentialité et travail individuel en entreprise[00:13:31] Fidélité et rétention des talents[00:14:33] Stagnation et nécessité d'évolution[00:15:02] Durée et organisation des accompagnements[00:16:13] Travail en profondeur sur plusieurs mois[00:16:30] Être à sa place et recherche de sens[00:17:35] Sexualité et énergie de vie[00:18:24] Définition des constellations familiales[00:18:35] Massage initiatique et connexion à l'âme[00:19:38] Langues parlées et localisation à Bruxelles[00:20:20] QuanticScan et lecture intuitive[00:21:22] Utilisation d'oracles comme support d'expression[00:22:11] Comment contacter Gunay[00:22:54] Vision du rôle RH : cœur et bienveillance[00:23:17] Effet waouh et reconnaissance mutuelle[00:24:39] Message final aux RH et dirigeant·es[00:25:28] Clôture du podcastS'abonner VoicemailPour suivre ce podcast sur What'sApp :Un podcast accessible à tou·tes, partout dans le monde.Parce que l'inclusion est au cœur de notre engagement, cet épisode est bien plus qu'un simple podcast, sur notre site Internet retrouvez :Une transcription intégrale pour les sourd·es et malentendant·es.Un séquençage minutieux pour faciliter la navigation.Un format vidéo pour des visuels qui défilent et qui illustrent le podcast (selon ce qui est fourni par l'invité·e et disponible aussi sur Youtube)Une portée universelle : ce podcast peut être lu dans toutes les langues du monde supportée par l'extension "Google Translate" ajoutée à Chrome. Elle permet d'en traduire chaque passage de la transcription sélectionné en un clic.Liens pour supporter The Podcast Factory Org :Notre lien d'affiliation O2Switch pour un hébergement web au topNotre lien d'affiliation Podcastics (Offre valable uniquement durant les 7 jours suivant l'ouverture de ce lien)Notre lien d'affiliation Sonix.ai pour une transcription des épisodes et l'export en fichier de sous-titragesÉvaluation de The Podcast Factory Org asbl-vzw via notre fiche GoogleFaites un don à notre associationSoutenez-nous sur buy.stripe.com !

durée : 00:06:00 - Grand Reportage - par : Aurélie Kieffer - En quatre ans de guerre contre l'invasion russe, la poétesse et soldate ukrainienne Yarina Chornohuz a perdu bien trop de frères et soeurs d'armes qui reviennent hanter ses écrits. Elle a appris a manipuler des drones de combat, à parler français et à survivre face à l'horreur quotidienne du front. - réalisation : Annie Brault

Hva kan skole- og utdanningshistorie fortelle oss om dagens skole? Hvordan endte vi opp med den skolen vi har idag, og hvilke ideer og politiske bestemmelser har vært med på å forme den? I de nye doktoravhandlingene til Simon Malkenes og Elise Djupedal, begge to avlagt ved NTNU i fjor høst, og som begge har fått langt mer oppmerksomhet i offentligheten enn hva en gjennomsnittlig doktoravhandling vanligvis får æren av, får vi mer innsikt i noen av de tema og debattene som har vært med på å prege den norske skolen. Vi snakker om Elises arbeid med timetallsøkninger i grunnskolen, og om Simons utforskning av humankapitalteorier og deres innflytelse på norsk skolepolitikk.  Hva er det egentlig som skjer når skolereformer skal gjennomføres, hvor gjennomtenkt og planlagt er det hele, og hvorfor er det så vanskelig å frigjøre seg fra de reformer som allerede er gjort? Er det kraften i de bedre argumenter som får råde i skoledebatten, eller må vi litt dypere ned i de mer usynlige maktspillene for å forstå hva det er som foregår? Og hvorfor bør skoleforskningen begynne å fokusere mindre på de store reformene og utredningene, og mer på de mer anonyme men desto viktigere tekstene som det norske skolebyråkratiet produserer? Vi snakker også om skoledebatten i etterkrigstiden, om sentralisering, fremskrittstro, forskjellene på bygdeskolene og byskolene, enhetsskolen og Forsøksrådet, Jens Bjørneboes Jonas, ulike kunnskapsformer og deres innflytelse på den norske skolen, om hvordan både Høyre og Arbeiderpartiet var med på å dra skolen i samme retning, men også uintenderte konsekvenser av politiske valg og stiavhengighet, leken og barndommens egenverdi, hvilke erfaringer de har gjort seg fra deltakelsen i den offentlige debatten om skolen, og mye annet.  Både Simon og Elise er tidligere gjester på podkasten, i henholdsvis episode 93 og 120. Da snakket vi om doktorgradsprosjektene deres i en tidlig fase av arbeidet, mens vi idag skal vi få høre om det endelige resultatet, og om hvordan det har vært å arbeide såpass intenst med disse tema i fire-fem år. Dette er dessuten første gangen de to opptrer sammen i en diskusjon av deres arbeider.  Siden dette ble en lang prat så har jeg valgt å dele den opp i to. Her har du første del, og så kommer del to om en ukes tid.     Her er lenker til doktorgradene og disputaser:  Elises doktorgrad, prøveforelesning, disputas. Se mer infor på skoleforskeren.no  Simons doktorgrad, prøveforelesning, disputas   Tidligere opptredener her på podkasten:  https://larsogpaal.libsyn.com/episode-120-mer-og-mer-skole-med-elise-farstad-djupedal  https://larsogpaal.libsyn.com/episode-93-simon-malkenes-om-skole-humankapital-og-konomi    ---------------------------- Logoen vår er laget av Sveinung Sudbø, se hans arbeider på originalkopi.com Musikken er av Arne Kjelsrud Mathisen, se facebooksiden Nygrenda Vev og Dur for mer info. ----------------------------    Takk for at du hører på. Ta kontakt med oss på larsogpaal@gmail.com Det finnes ingen bedre måte å få spredt podkasten vår til flere enn via dere lyttere, så takk om du deler eller forteller andre om oss.  Både Lars og Pål skriver nå på hver sin blogg, med litt varierende regelmessighet. Du finner dem på disse nettsidene: https://paljabekk.com/ https://larssandaker.blogspot.com/   Alt godt, hilsen Lars og Pål

Babylone, l'empire des étoiles — La naissance d'un regard Avant Ibrahim — paix et salut sur lui — il y a eu un monde noyé. Un monde qui connaissait Allah… puis L'a oublié.Un peuple averti par Nûh — paix et salut sur lui — qui a persisté dans l'orgueil jusqu'à ce que le ciel s'ouvre et que la terre jaillisse. Dans cet épisode, on plonge dans l'après-Déluge.On traverse la reconstruction de l'humanité.On observe comment l'idolâtrie renaît, lentement, subtilement — non pas par haine de la vérité, mais par attachement mal placé. Puis une civilisation émerge. Babylone. Puissante. Organisée. Fascinée par le ciel.Une ville où les prêtres lisent les étoiles comme on lirait un livre sacré.Une société où religion et pouvoir ne font qu'un.Un monde où l'on sculpte des dieux… et où l'on s'incline devant ce que l'on a fabriqué. Et dans cette maison d'idoles, naît un enfant. Ibrahim — paix et salut sur lui. Un enfant qui observe.Un enfant qui questionne.Un enfant qui refuse d'adorer ce qui disparaît. Cet épisode est une immersion lente et profonde dans la grandeur antique de Babylone, dans le mystère du ciel, et dans la naissance d'un regard libre au cœur même d'un empire idolâtre. Ce n'est pas une histoire racontée rapidement.C'est un voyage. Parce que certaines vérités ne se consomment pas en format court.Elles se contemplent. 

Dur dur d’utiliser un zesteur convenablement! Arielle Charest est censurée par Facebook. Tour de table entre Isabelle Perron, Audrey Gagnon et Alexandre Dubé. Regardez aussi cette discussion en vidéo via https://www.qub.ca/videos ou en vous abonnant à QUB télé : https://www.tvaplus.ca/qub ou sur la chaîne YouTube QUB https://www.youtube.com/@qub_radio Pour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

La team AmigaVibes présente un mix des musiques de la compo Listening de la Summer Assembly Party 2024AmigaVibes team presents a mix presented during the Shadow Party 2025 of musics from the Listening Compo of the Summer Assemly 2024Ici la tracklist de ce podcast / Here is the tracklist of this podcast : Jingle by JGG - AmigaVibes (0'29) OUTRON - I Choose Evil (3'21) The Darkest Hour - Aikapallo / Pyrotech (3'28) Xiphosura Flumina Sanguinis Stage - Duality Vile (3'28) Multiplier - Genrettomat (2'34) PANTHER II - Ihanalammas (3'01) Vessel to a Better Place - Laurikka (2'41) Tears in Rain - muLperi (2'50) Dream Piligrim - Utupuu (2'58) Myth - Jaach Ankka (3'20) Tiny Neon Robots - lemonade / #cubernicus ^ Nectarine ^ Sitruslapset (2'46) Obersdorff Blues - Midnight Commando (3'20) Space Gulls - Edictum and Pfeffermouse and Turbo Knight (3'06) Unknown Journey - Petri Poutiainen (2'43) Durée : 39'28 AmigaVibes team (JeFfR3y & Jegougou) - From Semihole with luv - Demosceners Rockz

Le nouveau podcast football du FC Copains

Anne Ghesquière reçoit Guillaume Fond, médecin psychiatre, chercheur et enseignant à l'université. Peut-on soulager le stress, l'anxiété, la dépression, le déclin cognitif ou le brouillard mental grâce à des compléments alimentaires bien choisis ? Que nous disent les méta-analyses internationales les plus récentes sur les vitamines, plantes, minéraux ? Quel est le rôle du microbiote, du nerf vague mais aussi des carences nutritionnelles dans notre équilibre psychique ? Comment démêler le vrai du faux dans la jungle des gélules, des vitamines et des extraits de plantes ? Bien comprendre les OMEGA 3, la DHA, le rôle de la Vitamine D, de la B9 et du Zinc. Le Dr Guillaume Fond explore les liens profonds entre alimentation, compléments, cerveau et santé mentale, en s'appuyant sur les dernières données scientifiques. Son ouvrage Compléments alimentaires & santé mentale est publié chez Flammarion. Épisode #666Quelques citations du podcast avec Guillaume Fond :"Patience et régularité sont vraiment la clé.""Ce qu'on met dans notre assiette conditionne la façon dont nos gènes s'expriment.""Un stress psychique a des conséquences physiologiques."À réécouter :#609 Bien nourrir son cerveau : stress, anxiété, dépressionRecevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook & TikTokAbonnez-vous sur Apple Podcast /Spotify / Deezer / CastBox / YoutubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Guillaume Fond :00:00 Introduction01:30 L'invité03:12 Les différents compléments alimentaires03:50 Santé mentale et nutrition06:24 L'efficacité des compléments alimentaires07:45 Durée et régularité10:03 Les idées reçues11:28 Un marché controversé12:36 L'importance de la transdisciplinarité13:53 Les compléments à l'efficacité avérée15:28 Les carences prioritaires16:22 Les extraits de plantes : vigilance !17:44 Théanine et retard de phase22:35 Les garanties des méta-analyses23:36 La santé mentale au quotidien27:04 Le rôle clé du cerveau29:17 Troubles psychiques et conséquences physiologiques30:27 Le DHA pour nourrir le cerveau32:59 L'importance de la vitamine D34:03 Folates et vitamine B934:52 Attention au zinc ?35:11 Cure ou prise quotidienne ?38:11 L'impact des bouleversements hormonaux40:37 Priorité au cerveau dénutri44:05 Les limites des allégations de santé47:24 Les compléments efficaces contre la dépression48:51 Cerveau, nerf vague et microbiote50:30 Faut-il tester son microbiote ?51:41 Probiotiques et dépression59:33 Algues et oméga-301:01:52 La vit C : attention au surdosage01:02:59 En cas des stress01:05:08 Safran et TDAHAvant-propos et précautions à l'écoute du podcast Photo © Geoffroy Mathieu / Leextra / Éditions Flammarion Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

En el episodio de hoy: lo que nos prendió (y no) de los avances del Super Bowl, como The Mandalorian and Grogu, Disclosure Day, Hail Mary Project, el spin-off de Once Upon a Time in Hollywood y Supergirl del nuevo DCU.Además: el final de la temporada 2 de Fallout sí nos gustó y El Caballero de los Siete Reinos y Primal van DE POCAMADRE.Puedes ver y escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ o lo puedes escuchar en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

Le nouveau podcast football du FC Copains

Vous avez trouvé un nom de marque qui vous ressemble, un logo, un site… et puis un jour, une mise en demeure arrive sans prévenir. Dans cet épisode, Laurent Kretz échange avec Victoire Richard, conseil en propriété industrielle, pour remettre un peu d'ordre dans tout ça : comment choisir un nom vraiment disponible, où déposer sa marque (France, Europe, international), quoi protéger exactement (nom, logo, design…) et quelles erreurs évitent de devoir tout changer une fois que le business commence à marcher. L'épisode aborde ce qui se passe quand une autre entreprise utilise un nom proche du vôtre, copie votre site ou exploite votre marque sur Amazon ou Meta, et les démarches qui permettent de reprendre la main. Victoire montre enfin en quoi une marque bien protégée compte dans une levée de fonds ou une revente, et comment faire passer votre nom de marque du simple “bon choix de départ” à un actif qui protège et structure votre activité sur la durée. 00:00:00 - Introduction00:02:11 - Présentation de Victoire Richard et de son métier de CPI00:06:15 - Pourquoi déposer sa marque : actif immatériel, investisseurs, défense sur marketplaces00:12:18 - Dépôts en France, UE, US, Chine : offices, pratiques et contrôles différents00:18:34 - Bien choisir son nom 00:26:13 - Coût des dépôts INPI, EUIPO, OMPI et impact du nombre de classes00:34:01 - Erreurs fréquentes : marque au nom d'un fondateur, société en formation, transfert de titularité00:40:45 - Durée des droits : marques (illimitées par renouvellements), dessins & modèles, brevets00:47:21 - Procédure UDRP pour récupérer un nom de domaine00:50:47 - Concurrence déloyale et parasitisme00:56.02 - ConclusionEt quelques dernières infos à vous partager :Suivez Le Panier sur Instagram @lepanier.podcast !Inscrivez- vous à la newsletter sur lepanier.io pour cartonner en e-comm !Écoutez les épisodes sur Apple Podcasts, Spotify ou encore Podcast Addict Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Te propongo algo distinto: acompáñame a una experiencia inmersiva por Future Makers. ¿Qué es Future Makers? Es un espacio que hemos montado en EL MUNDO donde se habla claro sobre lo que viene y lo que ya está pasando. Gente joven, ideas nuevas y conversaciones reales, naturales, con personas que están cambiando las cosas. Innovación, cultura, tecnología, política y mucho emprendimiento. En este episodio aparecen Vicente Ruiz (director adjunto de EL MUNDO), Paula María (periodista de Economía), María Alcantara (redactora de Datos y Visualización), Bruno Casanovas (cofundador de Nude Project), María González Durán (fundadora de Pikingli, 'mariaspeaksenglish'), Paula Babiano (fundadora de Balbisiana) y Eugenio Calzada (el futur maker más joven) See omnystudio.com/listener for privacy information.

Dur dur de circuler à Montréal… Retour des incitatifs à acheter des véhicules électriques. Manif des carrés bleus. La rencontre Maréchal-Dumont avec Isabelle Maréchal et Mario Dumont. Regardez aussi cette discussion en vidéo via https://www.qub.ca/videos ou en vous abonnant à QUB télé : https://www.tvaplus.ca/qub ou sur la chaîne YouTube QUB https://www.youtube.com/@qub_radioPour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

En el episodio de hoy, nos quitamos el casco de beskar y nos ponemos la armadura de caballero errante. Analizamos el nuevo spin-off de GoT, El Caballero de los Siete Reinos, la nueva serie que nos devuelve al Westeros más auténtico, rudo y humano.¿Quiénes son realmente Dunk y Egg? ¿Por qué esta historia es el soplo de aire fresco que la franquicia necesitaba tras la danza de los dragones? Acá exploramos:El dúo dinámico: La química entre Ser Duncan el Alto y su peculiar escudero.Westeros a ras de suelo: Menos política de salón y más justicia de camino real.Conexiones con el lore: Lo que el futuro de la casa Targaryen le debe a estos dos vagabundos.Puedes ver y escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ o lo puedes escuchar en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

Agradece a este podcast tantas horas de entretenimiento y disfruta de episodios exclusivos como éste. ¡Apóyale en iVoox! Charlamos con la ex jugadora de Durán Maquinaria Ensino y Kutxabank Araski, la alicantina Laura AliagaEscucha este episodio completo y accede a todo el contenido exclusivo de Al Ritmo del Aro Baloncesto Femenino. Descubre antes que nadie los nuevos episodios, y participa en la comunidad exclusiva de oyentes en https://go.ivoox.com/sq/759505

If you keep waiting to feel confident, ready, or comfortable before you say yes to the thing you actually want. A new job. A retreat. A party where you only know one person. Dating again. Speaking up. Starting the thing. Nicole and I are unpacking why “being comfortable” is the wrong goal—and what actually works instead.We talk about why new spaces are *supposed* to feel uncomfortable, why courage has a real physical sensation in your body (and why it kind of sucks), and how waiting to feel ready is often the very thing keeping you stuck. If you've ever told yourself “I'll do it once I feel better / calmer / more confident,” this episode will lovingly interrupt that pattern.You'll hear us cover:- Why you don't get comfortable *before* new experiences—you get comfortable *by doing them*- What courage actually feels like in the body (and why it's not calm)- How to build a simple personal “toolbox” for uncomfortable moments- Why breath is the most underrated regulation tool you already have- Grounding practices that help you come back into your body fast- How reframing nerves can immediately reduce anxiety- Why everyone you think is confident is still nervous- The difference between fear as a signal vs fear as a stop sign- How to stop letting discomfort talk you out of your dreamsAnd if you're a mom listening to this thinking, “Okay, but I barely survived January”...let's be honest: January for moms is a prank.While everyone else is goal-setting and “new year, new me”-ing, we're taking down decorations, surviving winter break, hosting family, and running on fumes. So if you're just now feeling ready to think about your year… you're right on time.That's why we created The Mom's Actual New Year (Feb 9–26) — a 3-week, bite-sized, fun-forward reset designed for real mom life. No pressure. No perfection. Just live coaching, accountability, and a vision board party to help you reconnect to what you actually want and start moving—without waiting to feel ready.Because comfort doesn't come first. Action does.February is the real new year. Dur doi.

Dans la dernière partie de l'épisode, Pauline passe au guide pratique.Durée du vol, formalités, chaleur en été, activités adaptées selon l'âge des enfants, sécurité, budget, hébergements, nourriture sur place : tout est passé en revue, sans filtre.Pauline partage aussi ce qu'elle referait différemment, notamment sur certaines zones très touristiques, belles mais peu adaptées avec de jeunes enfants.Pour écouter l'épisode en entier :Road trip à Chypre en famille-----------Si l'épisode vous a plu, laissez-moi une note 5 ⭐️ou un commentaire sur Apple Podcasts ou Spotify

Le nouveau podcast football du FC Copains

Abrimos el programa hablando con Gimena Llamedo, vicepresidenta del Principado de Asturias, con motivo del decreto para regularizar las viviendas turísticas, antes de abordar una nueva entrega del Consejo de Actualidad, que en esta ocasión contará con las voces de Xosé Alba, Francisco Javier García y Ramón Durán. A continuación, hablamos con Alicia Vallina, conservadora de museos, de Gertrude Stein, la célebre coleccionista de arte, para más tarde, en nuestro espacio dedicado a las mujeres escritoras con Patricia Suárez charlar con la escritora Elisabeth Rivera, y cerrar después el programa con música, en el que nuestro colaborador Drest González Arias hablará con Cris Langa.

Dur und Moll: Man braucht keine musikalische Ausbildung, um zu erkennen: Da wirken die Töne gleich ganz anders! Aber warum eigentlich?

La team AmigaVibes présente un mix des musiques des Meteriks 2025 durant la Shadow 2025AmigaVibes team presents a mix presented during the Shadow Party 2025 of musics from 2025 Meteoriks and obtained an awards inIci la tracklist de ce podcast / Here is the tracklist of this podcast : Jingle by JGG - AmigaVibes (0'29) wayfinder - Asura by MFX - Winner of Best Direction and Best Soundtrack, Nominated for Best High-End Demo and Best Visuals (4'20) Chaser - Stranded by Madwizards - Winner of Best High-End Demo (5'17) Puryx - Starseed by LJ and Puryx - Winner of Best High-End Demo, Nominated for Best Soundtrack and Best Visuals (3'58) Traymuss - Legend of the Past by Futuris - Nominated for Best High-End Demo (3'28) MonoToni - Crystal Dynamics by NOGAPNOBACT3RIA - Nominated for Best Soundtrack (5'25) Dan - Damaga by Damage - Nominated for Best Soundtrack (11'08) Virgill - We Float Here by Architect - Nominated for Best High-End Intro (2'46) Skyrunner - Naumachia Insianis by Cerebrum Imperium - Nominated for Best High-End Intro (3'16) Gargaj - Empires by Conspiracy - Winner of Best Visuals, Nominated for Best High-End Intro (3'25) aMUSIC and Leviathan - Sisyphus Unchained by Andromeda Software Development - Nominated for Best High-End Demo (4'50) Turbo Knight - Fast Forward by Doomsday and Turbo Knight - Nominated for Best High-End Demo (4'00) Andy - XO by Nuance - Nominated for Best Direction and Best High-End Intro (2'02) wrighter - bruh I ain't naming things by Moonbase - Winner of New Talent (3'12) Durée : 56'25 AmigaVibes team (JeFfR3y & Jegougou) - From Everglades with Love - Demoscene 4ever

Sus crímenes se consideraron extremadamente crueles. Es uno de los asesinos en serie más conocidos de los Estados Unidos, y no deja a nadie indiferente. Bienvenidos al tercer y último episodio sobre Ted Bundy. Mil gracias a David Flores (@locutordavid86) por doblarnos al juez Cowart. Más episodios exclusivos en nuestro Patreon (por lo que cuesta un café al mes ): https://patreon.com/extremadamentecrueles YouTube: @ExtremadamenteCrueles Instagram: https://www.instagram.com/extremadamentecrueles/ Tiktok: @cruelespodcast Bluesky: @cruelespodcast.bsky.social Blog: https://extremadamentecrueles.blogspot.com/ Tienda: https://www.redbubble.com/es/people/cruelespodcast/shop?asc=u Música cortesía de Don Manolo (https://open.spotify.com/artist/7c7vSwqcj2utz6XR3E93C8 ) Música del episodio: Head Over Heels, de The Go-Gos. Nuestro agradecimiento especial a los Patreons: Bárbara Pérez Quejido Cristina Eva Katherine Vega Mónica Ortega Gonzalo Enid Rebeca Luigy Padial Sánchez Silvia Ramírez Selva Cris Ara García Isabel Neus Sonia Vela Maud Clara Vane A.d. Patricia López Katze Hölderlin Georgina Morcillo Mar Cristina Zaplana Alfonso José Luis Alemán Mina LM Rosalía Lourdes P Azul Marino Raquel AD Elena Sandra García Rui Pires Noah Patricia Caballero Anna A. Andrea Sara Cortés EMAG Eva Escribano Patricia Montero Marta Chicote Zorita AlbaKas Cati Sastre Yolanda Salazar Adriana Rodríguez Elena Rodríguez Raquel Fernández Estrella Huertas Castellanos Ainhoa Ramos Núñez Carolina Redondo Isabel Vic Maricarmen Martínez Asensio Almudena B Beatriz Termis Lady Aura Gloria Muñoz Ávila Mònica Laura Samper Patricia Mercè Guillén Mari Carrión Beneyto Isabel Laura C Guiomar del Río Lanchas Gema Mónica Imelda Bedoya Natu Miguel LM Carmen García Nía Area Rodrigo Gabriela Paula Unity Ana Álex De La Rosa Zeltia López Armesto Madeleine Sharpe Deborah Ariza Silvia Irene Duabili Ana GL Marisa María Castillo MA María del Pilar Andrade Pavón Mati Martí Andrea Pérez Valentina JL Leire Magui Karen Pili Rebellón Tania Padilla Ricard Andrea Matutano Patricia de la Fuente Álvarez Dolores Padilla Sanz Nicky Andrea Aguiar Sonia Torremacho Esperanza Guerrero Jenny G Silvia Barreiro Pazos Rosario Esplá 4Gatos Artesanos María Jesús Lafuente Mamá Pato María Hernández Inés Adriana Henríquez Levin Mar Sánchez María C Cris Cot Isidro Nogueiras Catalina Dellarosa Almudena Cid Marina Nicolás Laura Luque Lara Silvia R Laura Contreras Isma Martínez Violeta Hernández Rosa Gutiérrez Gómez Luis Espinosa Miguel Ballesteros Santamaría Celia Guijarro Martínez May Sánchez María Teresa Mondragón Durán Irene Gómez Torres Débora Romero Angulo Hermi Nenu Matty Benítez S Natalia Pena Soto Margarita Gigirey Àlex Jodel Javier Parra Moreno Edurne Gainzarain Arranz Daniel Rivas Soto Anaïs Egea Laura A. Monik Saiko Toni Mónica_Orcajo Ramón Rovira Pibernat Cris Sinmás Amparo Ruiz Tri Vero Carmen Montse Amor Block Cluster Lucía Maldonado Álvarez Elisabet OM Cova Jennifer Desirée Álvarez

Sus crímenes se consideraron extremadamente crueles. Es uno de los asesinos en serie más conocidos de los Estados Unidos, y no deja a nadie indiferente. Bienvenidos al tercer y último episodio sobre Ted Bundy. Mil gracias a David Flores (@locutordavid86) por doblarnos al juez Cowart. Más episodios exclusivos en nuestro Patreon (por lo que cuesta un café al mes ): https://patreon.com/extremadamentecrueles YouTube: @ExtremadamenteCrueles Instagram: https://www.instagram.com/extremadamentecrueles/ Tiktok: @cruelespodcast Bluesky: @cruelespodcast.bsky.social Blog: https://extremadamentecrueles.blogspot.com/ Tienda: https://www.redbubble.com/es/people/cruelespodcast/shop?asc=u Música cortesía de Don Manolo (https://open.spotify.com/artist/7c7vSwqcj2utz6XR3E93C8 ) Música del episodio: Head Over Heels, de The Go-Gos. Nuestro agradecimiento especial a los Patreons: Bárbara Pérez Quejido Cristina Eva Katherine Vega Mónica Ortega Gonzalo Enid Rebeca Luigy Padial Sánchez Silvia Ramírez Selva Cris Ara García Isabel Neus Sonia Vela Maud Clara Vane A.d. Patricia López Katze Hölderlin Georgina Morcillo Mar Cristina Zaplana Alfonso José Luis Alemán Mina LM Rosalía Lourdes P Azul Marino Raquel AD Elena Sandra García Rui Pires Noah Patricia Caballero Anna A. Andrea Sara Cortés EMAG Eva Escribano Patricia Montero Marta Chicote Zorita AlbaKas Cati Sastre Yolanda Salazar Adriana Rodríguez Elena Rodríguez Raquel Fernández Estrella Huertas Castellanos Ainhoa Ramos Núñez Carolina Redondo Isabel Vic Maricarmen Martínez Asensio Almudena B Beatriz Termis Lady Aura Gloria Muñoz Ávila Mònica Laura Samper Patricia Mercè Guillén Mari Carrión Beneyto Isabel Laura C Guiomar del Río Lanchas Gema Mónica Imelda Bedoya Natu Miguel LM Carmen García Nía Area Rodrigo Gabriela Paula Unity Ana Álex De La Rosa Zeltia López Armesto Madeleine Sharpe Deborah Ariza Silvia Irene Duabili Ana GL Marisa María Castillo MA María del Pilar Andrade Pavón Mati Martí Andrea Pérez Valentina JL Leire Magui Karen Pili Rebellón Tania Padilla Ricard Andrea Matutano Patricia de la Fuente Álvarez Dolores Padilla Sanz Nicky Andrea Aguiar Sonia Torremacho Esperanza Guerrero Jenny G Silvia Barreiro Pazos Rosario Esplá 4Gatos Artesanos María Jesús Lafuente Mamá Pato María Hernández Inés Adriana Henríquez Levin Mar Sánchez María C Cris Cot Isidro Nogueiras Catalina Dellarosa Almudena Cid Marina Nicolás Laura Luque Lara Silvia R Laura Contreras Isma Martínez Violeta Hernández Rosa Gutiérrez Gómez Luis Espinosa Miguel Ballesteros Santamaría Celia Guijarro Martínez May Sánchez María Teresa Mondragón Durán Irene Gómez Torres Débora Romero Angulo Hermi Nenu Matty Benítez S Natalia Pena Soto Margarita Gigirey Àlex Jodel Javier Parra Moreno Edurne Gainzarain Arranz Daniel Rivas Soto Anaïs Egea Laura A. Monik Saiko Toni Mónica_Orcajo Ramón Rovira Pibernat Cris Sinmás Amparo Ruiz Tri Vero Carmen Montse Amor Block Cluster Lucía Maldonado Álvarez Elisabet OM Cova Jennifer Desirée Álvarez

Change de carrière en 1 an avec le programme Nouvelles Voies : t.y/reconversionMerci à l'Institut Transitions de soutenir le podcast !__Voici Mc Danse pour le climat du collectif Planète Boum Boum pour mettre la musique au service des luttes écologiques et sociales.SOMMAIRE01:54 Questions mitraillettes04:14 Une enfance de manifs05:23 D'alternatiba à à la danse en manif08 :59 La vidéo viral de Mc Danse pour le climat11:54 Dur de traiter des danseurs d'écoterroristes16:38 Planète Boum Boum19:54 On veut du fret ferroviaire23:14 Manifs : encore utiles ?26:46 La joie est une arme (Mr Mondialisation)28:21 Pourquoi ça te tient à cœur ?29:16 Anecdotes__Le site officiel de Soif de SensSoutenir Soif de Sens via Tipeee Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

"Este es el camino... a través de las décadas".En el episodio de hoy, activamos el agujero de gusano para navegar por los aniversarios más importantes del cine en este 2026. Nos pusimos nostálgicos y revisamos las joyas que cumplen 50, 40, 30, 20 y 10 años de haber cambiado nuestras vidas.Desde la resistencia de Rocky y la oscuridad de Taxi Driver en los 70, hasta el impacto visual de Arrival y el caos heroico de Civil War hace apenas una década. Hacemos una escala obligatoria en 1986 para hablar de tipos duros y xenomorfos con Aliens y Top Gun, saltamos a los 90 con el meta-horror de Scream y aterrizamos en el 2006 para admirar la maestría de Cuarón y Del Toro.

"Este es el camino... a través de las décadas".En el episodio de hoy, activamos el agujero de gusano para navegar por los aniversarios más importantes del cine en este 2026. Nos pusimos nostálgicos y revisamos las joyas que cumplen 50, 40, 30, 20 y 10 años de haber cambiado nuestras vidas.Desde la resistencia de Rocky y la oscuridad de Taxi Driver en los 70, hasta el impacto visual de Arrival y el caos heroico de Civil War hace apenas una década. Hacemos una escala obligatoria en 1986 para hablar de tipos duros y xenomorfos con Aliens y Top Gun, saltamos a los 90 con el meta-horror de Scream y aterrizamos en el 2006 para admirar la maestría de Cuarón y Del Toro.

I've come to the conclusion that Sweller's Cognitive Load Theory is the single most important thing for teachers to know – Dylan Wiliam   On this episode Lars speaks with John Sweller, professor emeritus at University of New South Wales in Australia, about the field of cognitive load theory, a research field in educational psychology that John has been developing since the early eighties.  We talk about the cognitive architecture, how working memory and long term memory interact, and how this interaction and its limits make out the foundational insight that is explored in cognitive load theory; how our cognition is shaped by evolution, how David Geary's theory about biologically primary and secondary skills helped John put cognitive load theory into a bigger picture; some of the main effect that have been identified, like element interaction effect, worked examples, redundancy, split attention, and much more.    Recommended books and articles Ashman, G. (2023). A little guide for teachers: Cognitive load theory. Corwin UK. Carlson, J. S., & Levin, J. R. (2007). Educating the evolved mind : conceptual foundations for an evolutionary educational psychology. Information Age Pub. Geary, D. C. (2024). The evolved mind and modern education: Status of evolutionary educational psychology. Cambridge University Press. https://doi.org/10.1017/9781009454858          Geary, D. C. (2008). An evolutionarily informed education science. Educational Psychologist, 43(4), 179–195. https://doi.org/10.1080/00461520802392133  Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75–86.  Kirschner, P. A., Sweller, J., Kirschner, F., & Zambrano R., J. (2018). From cognitive load theory to collaborative cognitive load theory. International Journal of Computer-Supported Collaborative Learning, 13(2), 213–233. Lovell, O. (2020). Sweller's Cognitive Load Theory in Action. John Catt Educational. Paas, F., & Sweller, J. (2012). An Evolutionary Upgrade of Cognitive Load Theory: Using the Human Motor System and Collaboration to Support the Learning of Complex Cognitive Tasks. Educational Psychology Review, 24(1), 27–45. https://doi.org/10.1007/s10648-011-9179-2 Sweller, J. (2008). Instructional Implications of David C. Geary's Evolutionary Educational Psychology. Educational Psychologist, 43(4), 214–216. https://doi.org/10.1080/00461520802392208 Sweller, J. (2023). The Development of Cognitive Load Theory: Replication Crises and Incorporation of Other Theories Can Lead to Theory Expansion. Educational Psychology Review, 35(4). https://doi.org/10.1007/s10648-023-09817-2  Sweller, J. (2024). Cognitive Load Theory and Individual Differences. Learning and Individual Differences, 110(1), 102423–102423. https://doi.org/10.1016/j.lindif.2024.102423  Sweller, J. et al (2024). Response to De Jong et al.'s (2023) paper "Let's talk evidence – The case for combining inquiry-based and direct instruction". Educational Research Review, 42, 100584. https://doi.org/10.1016/j.edurev.2023.100584    ---------------------------- Our logo is by Sveinung Sudbø, see his works on originalkopi.com The music is by Arne Kjelsrud Mathisen, see the facebook page Nygrenda Vev og Dur for more info.  ---------------------------- Thank you for listening. Please send feedback and questions to larsogpaal@gmail.com There is no better way for the podcast to gain new interested listener than by you sharing it with friends, so if you find what we do interesting and useful, please consider doing just that. The podcast is still most in Norwegian, but we have a lot of episodes coming out in English.  Our blogs: https://paljabekk.com/ https://larssandaker.blogspot.com/ Alt godt, hilsen Lars og Pål

¿Listos para dejar atrás la comodidad de la bóveda? La segunda temporada de Fallout marcha con gracia, y en El Fandalorian nos ponemos el Pip-Boy para analizar su particular visión del fin del mundo: una mezcla de nostalgia atómica, sátira corporativa y supervivencia extrema. ¿Estás preparado para salir del refugio una vez más?Puedes ver y escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ o lo puedes escuchar en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

Dette er del to av vår lille innføring i kognitiv belastningsteori, bedre kjent som cognitive load theory (CLT). Selv om teorien først ble formulert på 80-tallet, så er det først i de siste par årene at den begynt å få større oppmerksomhet i utdanningsfeltet.  Vi snakker om de studiene som ledet John Sweller til å utforme teorien, om arbeidsminne og langtidsminne, ulike kilder til kunnskap, evolusjonær psykologi og hvordan Sweller inkluderte David Gearys distinksjon om biologisk primære og sekundære ferdigheter, generelle og domenespesifikke ferdigheter, kritisk tenking, indre og ytre belastning ved læring, og en rekke av de mest sentrale effekter som er kartlagt i CLT, og litt om kritikken som er blitt rettet mot teorien.  I en tredje episode i denne lille serien, som vil komme ut litt etter disse to innføringsepisodene, vil vi også publisere et intervju som Lars gjorde med opphavsmannen til cognitive load theory, John Sweller.    Anbefalinger nevnt i episoden: Willingham, D. T. (2023). Outsmart your brain: Why learning is hard and how you can make it easy. Gallery Books. Ashman, G. (2022). A little guide for teachers: Cognitive load theory. Corwin. Sweller, J. (2008). Instructional implications of David C. Geary's evolutionary educational psychology. Educational Psychologist, 43(4), 214–216. https://doi.org/10.1080/00461520802392208 Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75–86. https://doi.org/10.1207/s15326985ep4102_1   Annet nevnt i episoden: Jorge Louis Borges, Mannen med den gode hukommelsen, fra samlingen Labyrinter Magnus Karlsens hukommelse blir testet: https://www.youtube.com/watch?v=eC1BAcOzHyY  Bonawitz, E., Shafto, P., Gweon, H., Goodman, N. D., Spelke, E., & Schulz, L. (2011). The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery. Cognition, 120(3), 322–330. https://doi.org/10.1016/j.cognition.2010.10.001  Morningside Academy: https://morningsideacademy.org/  Podkasten Sold a Story: https://features.apmreports.org/sold-a-story/    Tidligere Lars og Pål-episoder om relaterte tema:  Episode 149 Den gamle skolen møter ny forskning, med Morten Brattbakk Episode 141 Hva vi har lært om læring så langt Episode 139 Stanislaw Pstrokonski from Education Bookcast Episode 135 Natalie Wexler on the role of knowledge in education Episode 127 Cro-Magnon på skolebenken     ---------------------------- Logoen vår er laget av Sveinung Sudbø, se hans arbeider på originalkopi.com Musikken er av Arne Kjelsrud Mathisen, se facebooksiden Nygrenda Vev og Dur for mer info. ----------------------------    Takk for at du hører på. Ta kontakt med oss på larsogpaal@gmail.com   Det finnes ingen bedre måte å få spredt podkasten vår til flere enn via dere lyttere, så takk om du deler eller forteller andre om oss.  Både Lars og Pål skriver nå på hver sin blogg, med litt varierende regelmessighet. Du finner dem på disse nettsidene: https://paljabekk.com/ https://larssandaker.blogspot.com/   Alt godt, hilsen Lars og Pål

La creadora de contenido María G. Durán se asoma a 'La Ventana' para explicar su historia con el inglés 

I denne og neste episode gir Lars og Pål en middels kort innføring i kognitiv belastningsteori, bedre kjent som cognitive load theory (CLT). Selv om teorien først ble formulert på 80-tallet, så er det først i de siste par årene at den begynt å få større oppmerksomhet i utdanningsfeltet.  Vi snakker om de studiene som ledet John Sweller til å utforme teorien, om arbeidsminne og langtidsminne, ulike kilder til kunnskap, evolusjonær psykologi og hvordan Sweller inkluderte David Gearys distinksjon om biologisk primære og sekundære ferdigheter, generelle og domenespesifikke ferdigheter, kritisk tenking, indre og ytre belastning ved læring, og en rekke av de mest sentrale effekter som er kartlagt i CLT, og litt om kritikken som er blitt rettet mot teorien.  I en tredje episode i denne lille serien, som vil komme ut litt etter disse to innføringsepisodene, vil vi også publisere et intervju som Lars gjorde med opphavsmannen til cognitive load theory, John Sweller.    Anbefalinger nevnt i episoden: Willingham, D. T. (2023). Outsmart your brain: Why learning is hard and how you can make it easy. Gallery Books. Ashman, G. (2022). A little guide for teachers: Cognitive load theory. Corwin. Sweller, J. (2008). Instructional implications of David C. Geary's evolutionary educational psychology. Educational Psychologist, 43(4), 214–216. https://doi.org/10.1080/00461520802392208 Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75–86. https://doi.org/10.1207/s15326985ep4102_1   Annet nevnt i episoden: Jorge Louis Borges, Mannen med den gode hukommelsen, fra samlingen Labyrinter Magnus Karlsens hukommelse blir testet: https://www.youtube.com/watch?v=eC1BAcOzHyY  Bonawitz, E., Shafto, P., Gweon, H., Goodman, N. D., Spelke, E., & Schulz, L. (2011). The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery. Cognition, 120(3), 322–330. https://doi.org/10.1016/j.cognition.2010.10.001  Morningside Academy: https://morningsideacademy.org/  Podkasten Sold a Story: https://features.apmreports.org/sold-a-story/    Tidligere Lars og Pål-episoder om relaterte tema:  Episode 149 Den gamle skolen møter ny forskning, med Morten Brattbakk Episode 141 Hva vi har lært om læring så langt Episode 139 Stanislaw Pstrokonski from Education Bookcast Episode 135 Natalie Wexler on the role of knowledge in education Episode 127 Cro-Magnon på skolebenken ---------------------------- Logoen vår er laget av Sveinung Sudbø, se hans arbeider på originalkopi.com Musikken er av Arne Kjelsrud Mathisen, se facebooksiden Nygrenda Vev og Dur for mer info. ----------------------------  Takk for at du hører på. Ta kontakt med oss på larsogpaal@gmail.com Det finnes ingen bedre måte å få spredt podkasten vår til flere enn via dere lyttere, så takk om du deler eller forteller andre om oss.  Både Lars og Pål skriver nå på hver sin blogg, med litt varierende regelmessighet. Du finner dem på disse nettsidene: https://paljabekk.com/ https://larssandaker.blogspot.com/   Alt godt, hilsen Lars og Pål

Titulares. El Real Madrid va con todo en el Caso Negreira. Durísima sanción de competición a Marcao. Mercado de Invierno. Luz verde a los motores de Red Bull y Mercedes. Polideportivo.

El sorteo y el análisis del rival de Millos en la fase preliminar de la Sudamericana 2026. Durísimo. ¿Tendremos equipo para ganarle a Nacional? Los leemos.

Este es el último podcast Fandaloriano de 2025 y queremos dar un salto en el tiempo y hablar de lo que nos prende el anafre ñoño para los próximos 12 meses: de GTA VI y Supergirl, a The Super Mario Galaxy Movie y House of the Dragon. ¡Esto es lo que queremos ver en 2026! Y también le dedicamos un espacio a lo que no nos prende taaaanto…Puedes ver y escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ o lo puedes escuchar en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

durée : 00:05:25 - Tanguy Pastureau maltraite l'info - par : Tanguy Pastureau - Xavier Bertrand, embauché chez Burger King pour 12 minute en tout. Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

El 70% de la droga que se comercializa a nivel mundial transita por Ecuador, ha afirmado el mandatario Daniel Noboa, cuya familia ha sido señalada por medios investigativos de estar involucrada en el tráfico de cocaína hacia Europa. RFI habló con Andrés Durán, periodista ecuatoriano que ha huido del país tras recibir amenazas por haber denunciado los vínculos entre la compañía bananera Noboa Trading y el narcotráfico. En 2023, el periodista Andrés Durán obtuvo documentos relativos a la incautación de centenas de kilos de cocaína en el puerto de Naportec, Guayaquil, en camino hacia Europa. "Empiezo a comprender la dinámica del crimen organizado a través del tráfico de cocaína camuflada en contenedores de banano", recuerda. Esto ocurrió antes de que Daniel Noboa fuera elegido presidente. Noboa Trading es la empresa de la familia del mandatario, le pertenecía al padre y ahora el grupo Noboa tiene control sobre el cultivo, el empaque y el transporte de banano de exportación. "Básicamente me termino chocando con el primer caso, en el año 2020, de un contenedor que fue exportado a un puerto de Croacia. Ese fue el primer hallazgo. Tuvo una parada en Polonia y empiezo yo a identificar la ruta que hacían los contenedores de banano", explica Durán. "En la práctica, son tres contenedores que fueron 'contaminados' entre comillas, con cocaína. Los casos se dan en los años 2020, 2022 y 2024". Tras las incautaciones, se detiene siempre al mismo contratista encargado del control antinarcóticos de los contenedores, un hombre llamado José Luis Rivera Baquerizo, que Andrés Durán asegura ser un hombre humilde usado por los directivos de la empresa. "Es el único procesado en los tres casos", dice. "¿Cómo una persona con una discapacidad física del 52% logró cargar solo cerca de media tonelada de cocaína? Recibió el apoyo y la ayuda de otras personas que permitieron generar la contaminación. La empresa y el gobierno de Noboa alegan que fue una especie de gancho ciego, es decir, que la compañía no tenían idea de que fueron contaminados. Y si la Fiscalía dice que el único procesado es este señor, que expliquen cuál fue el modus operandi". ¿Gancho ciego? Daniel Noboa niega las denuncias y responde que la empresa ha cooperado con la justicia. El abogado de Rivera Baquerizo es un asesor de Daniel Noboa. El sospechoso fue dejado en libertad en cada caso, en procesos que Durán califica de turbios, porque habría forma de evidenciar cuando y cómo llegó la droga a la carga. "Cada contenedor tiene un aparato que se conoce como 'Recorder', que monitorea en tiempo real la temperatura del contenedor. Entonces, el momento en el que se abre un contenedor, el Recorder, registra esa apertura. Ninguna de esas pericias se hicieron, aunque eran responsabilidad de la Fiscalía General del Estado". Durán apunta un prontuario de irregularidades que gravitaron alrededor del proceso, como fiscales removidos de los casos o perfiles dudosos. "Por ejemplo que el fiscal de la primera causa de tráfico de cocaína de la compañía Noboa Trading es el mismo fiscal que emitió un dictamen absentivo, es decir, que se abstuvo de acusar a uno de los líderes de la banda delictiva Los Águilas, involucrado de manera directa con los Choneros: Junior Roldán, alias JR", afirma. En marzo de 2025, Andrés Durán anunció que las amenazas de muerte en su contra lo obligaron a exiliarse en el exterior.

En 2005, Hong Kong Disneyland ouvre ses portes et... Wow. C'est DUR. Le parc est tout ptit, c'est la cata. Et avec l'ouverture de Shanghai quelques années plus tard, bien plus grand et qui affiche une grosse ambition, on se dit que c'est mal barré. SAUF QUE ! Depuis Hong Kong a retroussé ses manches, et même s'il a encore de gros manques, il a de très grosses qualités à mettre en avant ! Alors comment on y va ? Est-ce que c'est difficile ou cher ? Quels sont les énormes BANGER du coin ? Et surtout... Quel premier avis sur le futur land Frozen que Disneyland Paris va également avoir ? Charleen est allée enquêter sur place et elle nous raconte ! Découvrez tout ce que notre association a à offrir et soutenez-nous sur Patreon ! TOUS les podcasts Élabète en UN SEUL podcast, c'est possible en cherchant "Élabète" dans votre appli préférée ! Ou sur http://elabete.lepodcast.fr

I denne episoden snakker vi med Tore Wig, professor i statsvitenskap ved Universitetet i Oslo. Vi snakker om hans forskning på demokrati og demokratiets tidlige historie, direkte og representativt demokrati, førdemokratiske institusjoner, sammenheng mellom demokratisk og økonomisk utvikling, autokratiske regimer, og valg i ulike typer regimer. Vi diskuterer også om skolens rolle i demokratiet og hva vi vet og ikke vet i denne sammenheng, om boken Democracy for realists av statsviterne Achen og Bartels, utdanningspolarisering og utdanningsulikhet, forskjeller på demokratiet i USA og Norge, demokratiske normer og hvor vanskelige de er å gjenopprette når de forfaller. Vi avslutter med å snakke om Karl Popper, hans bok The Poverty of Historicism, vitenskapsfilosofi, positivisme og viktigheten av godt språk.  Tores tre bøker nevnt i episoden:  The Deep Roots of Modern Democracy, med John Gerring, Andreas Forø Tollefsen og Brendan Apfeld, Cambridge University Press. Årsaker til krig: Introduksjon til konfliktvitenskap, Fagbokforlaget. One Road to Riches? How state building and democratization affect economic development, med Haakon Gjerløw, Matt Wilson og Carl Henrik Knutsen,  Cambridge University Press. Lenker til andre artikler finner du her: https://www.sv.uio.no/isv/english/people/aca/torewig/ Tores anbefalinger: Michael Strevens - The Knowledge Machine James Ladyman og Don Ross - Every Thing Must Go: Metaphysics Naturalized Milan W. Svolik - The Politics of Authoritarian Rule   ---------------------------- Logoen vår er laget av Sveinung Sudbø, se hans arbeider på originalkopi.com Musikken er av Arne Kjelsrud Mathisen, se facebooksiden Nygrenda Vev og Dur for mer info. ----------------------------    Takk for at du hører på. Ta kontakt med oss på larsogpaal@gmail.com Det finnes ingen bedre måte å få spredt podkasten vår til flere enn via dere lyttere, så takk om du deler eller forteller andre om oss.  Både Lars og Pål skriver nå på hver sin blogg, med litt varierende regelmessighet. Du finner dem på disse nettsidene: https://paljabekk.com/ https://larssandaker.blogspot.com/ Alt godt, hilsen Lars og Pål