Podcast appearances and mentions of dan silver

Stamford Chidge & Jonathan Kydd are joined by Dan Silver to look back at a routine win against bottom club Wolves. Hosted on Acast. See acast.com/privacy for more information.

Stamford Chidge & Jonathan Kydd are joined by Dan Silver to look ahead to Tuesday night's match against Dirty Leeds at the Bridge. Hosted on Acast. See acast.com/privacy for more information.

Dan Silver is back with the lads to look forward to Saturday's match against the 'appy 'Ammers, who are suddenly hitting a bit of form... ⁠chelseapodcast.net⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@chelseapodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Produced by Paul Myers and Mike Leigh  A Playback Media Production  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Copyright 2025 Playback Media Ltd - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Chas. and Mouch are joined by Chelsea Supporters' Trust board member Dan Silver to pick over the wins against Pafos and Palace, and to preview the trip to Napoli in the Champions League. ⁠chelseapodcast.net⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@chelseapodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Produced by Paul Myers and Mike Leigh  A Playback Media Production  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Copyright 2025 Playback Media Ltd - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Stamford Chidge & JK are joined by Dan Silver to look ahead to Pafos at home in the Champions' League on Wednesday. Hosted on Acast. See acast.com/privacy for more information.

Stamford Chidge & JK are joined by Dan Silver to look back at Saturday's 2-0 defeat of Brentford Hosted on Acast. See acast.com/privacy for more information.

Phil, Pete, Dan Silver and Trevor Drane go overboard about the Hammers' FA Cup triumph and underboard about f***ing VAR. ⁠⁠westhampodcast.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@westhampodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Produced by Paul Myers and Mike Leigh  A Playback Media Production  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   Copyright 2025 Playback Media Ltd - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

This episode of The Common Reader podcast is a little different. I spoke to both Jeffrey Lawrence and Julianne Werlin about literature, politics, and the future of the academic humanities. Questions included: what do we mean when we talk about literature and markets? Can we leave politics out of literary discussion? Should we leave it out? If we can't leave it out, can we have nice friendly conversations about it? What is academic Marxism? We also talked about whether Stephen Greenblatt is too ideological and why universities are necessary to literary culture, academics on Substack. Julianne writes Life and Letters. Jeffrey writes Avenues of the Americas. Here is Julianne's interview in The Republic of Letters. Transcript (AI generated, will contain some errors)Henry Oliver (00:00)Today I am talking to Jeffrey Lawrence and Julianne Werlin.Jeffrey is a professor of English literature and comparative literature at Rutgers University. He specializes in the 20th and 21st century and he writes the sub stack, Avenues of America. Julianne probably needs no introduction to a sub stack audience. She writes Life and Letters, one of my favorite sub stacks. She's a professor of English at Duke University, where as well as specializing in early modern poetry, she is interested in sociological and demographic studies of literature.and we are going to have a big conversation about literature and markets, politics, what do we mean when we talk about literature and markets, can we leave politics out of literary discussion, should we leave it out, if we can't leave it out, can we have nice friendly conversations about it, and also maybe what is academic Marxism and what should it be and why is it so confusing? Jeffrey and Julianne, hello.Julianne (00:59)Hi.Jeffrey Lawrence (01:01)Hi, thanks for having us.Julianne (01:02)Yeah, thank you.Henry Oliver (01:04)I am going to start by referencing an interview that you did, Julianne, for Republic of Letters, which everyone has been reading. And you said, I've printed it out wrong, so I can't read the whole quote. But you said something like, you joined Substack because you wanted people to talk with and because you felt a lack of debate in your academic field. There are lots of good things about scholarship being slow and careful, but it also needs to be animated by debate and conversation.and a sense of the stakes of what we're doing, and that is eroding in the academy. So I want you both to talk about that. Why is that happening? How much of a problem is it? How much is Substack or the internet more generally the solution? What should we be doing? Why don't we go to Julianne first, because it's your quote.Julianne (01:54)Sure, I mean, won't go on too long ⁓ since I have already spoken about this, but my sense within English departments is, you know, they're becoming smaller, fewer people are taking our classes, we have much less of a role in public conversation and public debate, except as kind of a stalking horse for certain types of arguments. And certainly, if you are an early modernist, it's very hard to locate a kind of a...Henry Oliver (02:14)YouJulianne (02:25)discrete set of debates within early modern literature because there is so little public salience to literary fields. And I think this is happening in all literature. It's especially pronounced if you're working in the earlier periods. So my sense in joining SUBSTAC was that perhaps there will be debates by people who are not already so deep within the particular professional and disciplinary structures of a field that they canfind new points of connection between literature and public life along different ⁓ axes that we have maybe not explored adequately within English departments and are maybe becoming harder to explore as English departments contract and recede from public life.Henry Oliver (03:04)Mm-hmm.So we're bringing Milton back to the people and also finding out why they care about him at all. ⁓ What do you think about it, Geoff?Julianne (03:16)Well, hopefully. I mean, that's the goal.Jeffrey Lawrence (03:21)Great, ⁓ so I actually restacked that specific quote from Julianne because it resonated so much with me. Yeah, I mean, my sense is that as someone who works on 20th and 21st century literature, there is more crossover there, I would say, between sort of academic scholarship and public debate. But I really wanna just echo what Julianne said there, that ⁓ I have gotten the feeling that withinlet's call it like the legacy media. There are particular arguments that come from academia that are pushed forward and that become representative of the field of 20th and 21st century literature as a whole. And those kind of come to stand in for academic debate more generally. And I think it becomes very difficult. One of the things that I was noticing so much isthat the people who had access to those legacy journals, are places like the Atlantic, the New York Times, that those began to dominate the debates and people just aren't recognizing that in scholarships. So one of the things I particularly like about Substack is that I feel like although it has some of the same problems as social media more generally about kind of like who gets to participate and algorithmic culture and all of that sort of stuff.I did feel like the ideological diversity both left and right compared to the sort of a kind of monoculture, mono, you know, sort of academic argument that I found over and over in these legacy magazines, that Substack was the place where a lot of these debates are happening. And I only joined maybe four or five months ago, but for me,⁓ sort of just in terms of my relationship to the Academy, it's really changed my sense of what can be said and what's being said by academics.Henry Oliver (05:17)feels to me like in some way humanities academia needs deregulating because there's all sorts of things people can't feel like they can't say and can't do. But it's such a tangled mess that the easiest thing is for you all to just go to Substack and do it there and just try and avoid the bureaucracy because it's gone too far. But when you're on Substack...I feel like you're often faced with people saying, these English literature academics, it's all woke BS. They don't know anything. They've killed this, right? You're simultaneously in a kind of semi hostile environment. How do you, how does that seem to you?Julianne (05:56)Yeah, mean, that's certainly true. I think that we are avatars on Substack for a kind of authority that we feel in our own lives we do not possess in any way. So we're in this position where, you know, at least I feel this, I'm responding to comments that are, you know, very much, by people who very much feel that they're attacking authority figures. And I'm, you know, I'm just a person on the internet, you know, talking with them when I'm on Substack. What I like about it is precisely that it levels any kind of authority structures insofar as they exist, which is debatable at this phase. But that's not always the reality on Substack. I also feel there's an additional thing, again, as an early modernist, where you feel like, you you don't have...Henry Oliver (06:27)Yeah.Julianne (06:52)there's not a lot of interest by people who are kind of on the left in contemporary politics in the Renaissance. It's seen as kind of a conservative, canonical thing to study. And there's a lot of pushback. even within English departments, there's a lot of pushback ⁓ surrounding the idea that people should study Shakespeare or study Milton. It's seen as kind of old and fussy and conservative. And then at the same time, you go on the internet and you're the kind of ⁓ exemplar.Henry Oliver (06:59)Mmm. Yeah.Mmm.Julianne (07:22)of woke cultural discourse. So you feel like as a Renaissance scholar, you can't win. You're nobody's idea of what people should be doing intellectually or culturally.Henry Oliver (07:25)HahahaDo you think, someone asked me this the other day about why academics write in this funny way and why no one reads their books and all this. That was the way they phrased it. And I said, I think what you're saying is like, why is there no AC Bradley today? Because Shakespeare in tragedy, so I don't remember the number, of like quarter of a million copies or something that to us just feels like an insane number.Is there some legitimate criticism there that A.C. Bradley wrote in a way that, you know, your grandmother could understand? And a lot of what comes out of the Academy today is much more cut off from the ordinary reading experience.Julianne (08:18)Yeah, I mean, think that's not debatable. think there have been quantitative studies, ⁓ DH studies that have shown that academic prose has become more difficult. I think it's much more a consequence of how literary culture has become this sort of narrow and marginalized field that is preserved within academic debate and academic structures of argument and disciplinarity. Stephen Greenblatt certainly tries to benew A.C. Bradley and he does reach readers outside of academia but his audience is you know especially as a share of the population is not A.C. Bradley's audience and I don't think that's a fault of his prose. Well that's true.Henry Oliver (08:59)might be the fault of some of his ideas.Well, Jeff, I want to come to you on that. A.C. Bradley was not politically ideological. Maybe he's a crazy Hegelian and he's insane on that level. But is the problem that Stephen Greenblatt's just obviously kind of a bit cranky in some ideological way, is this a general problem of the modern humanities academia?Jeffrey Lawrence (09:24)Yeah, I mean, I tend to see the problem as it's kind of being a dual problem. One, I think, is the fact that we are facing in a lot of the academy a kind of scarcity politics. there are very, if you look at just academic hiring since the financial crisis in 2008, there's just much less of it that's happening. And so I think, I mean, part of what I see is this sense that there are certainI mean, we could say certain ideological lines that over the past 10 years, but even let's say over the past 15 years ⁓ have been the ones that have become dominant in the academy. And I think my problem is not that people connect politics to literature. I think that that's something that we all do to a certain degree. think the part of the problem is that we are now entering a situation in whichif you deviate from a particular political line, which I have sort of identified with the Democratic Party, because I think you can follow a foul of it to the right, you can also follow a foul of it to the left, then you are seen as someone who is saying something that is not in line with the contemporary academy. And I think it used to be that when there were many jobs and many different departments that you could go to,Henry Oliver (10:28)Mm, mm.Jeffrey Lawrence (10:48)there were fewer consequences for making those types of statements that were out of sync with the dominant. And now I think it's it's become very, very punitive. And this is also reinforced again by the fact that what public scholarship we do have tends to be in line with this because the institutions that are kind of the elite, I would say Ivy league.institutions are also the ones that are feeding people into ⁓ sort of that public legacy discourse.Henry Oliver (11:23)Let's talk about politics and literature because I don't like making literature political as such. But whenever I read, Julianne's probably read the Lisa Liebes substack. I don't know if you've got to that yet, Jeff. She's like, there should be no politics at all and it's all aesthetics, which I kind of sympathize with. But then it just makes me think like, well, what about Edmund Spenser?Like there's a certain extent to which a lot of poetry is political and we have to be political when we talk about it, otherwise we're just ignoring a big part of it. ⁓ So how do we solve that problem? Like are we like badly trained in thinking about politics in the humanities academy or is it like what's going on?have we got to a point where you can say there should be no politics about explicitly political writers?Julianne (12:19)Do you want to begin, Jeff?Jeffrey Lawrence (12:20)Yeah, I mean, I can just say briefly because I mean, I teach courses, a number of courses that are about politics and literature. I actually think, I mean, I started doing this in 2016, right after Trump's election. I taught Steve Bannon's film about the financial crisis alongside ⁓ the Big Short and a couple of kind of like trying to show kind of like the left and right responses. I mean, that's not literature, that's film, but many of thethe literary works that we look at in those courses. There are conservatives, there are more classic liberals, there are Marxists. I mean, my personal feeling is that we need to talk about politics and literature, that it is a fair, it is a reasonable object of study. The problem, I think, is partially when you act as if certain...certain political writers or certain topics are simply out of bounds for study. And so there was actually a post by Dan Silver today about why I teach conservative thinkers and a response from the points John Baskin saying, who would think that you wouldn't teach conservative thinkers in a sociology course? But I do think that it's become par for the course thatHenry Oliver (13:20)Mmm.Ha ha ha ha ha ha ha.Jeffrey Lawrence (13:37)teaching someone, whether you're on the right and you're teaching someone who's a Marxist or you're a Marxist and you're teaching conservatives, that somehow this is kind an ethical failure. And I think that's a real problem of not assuming that what you're teaching is kind of necessarily what you believe in or talking about politics means necessarily taking an ideological stance.Julianne (14:04)Yeah, I think that's completely right. I think there's this very pervasive confusion between ⁓ talking about the politics of literature andarticulating an authoritative political perspective on that literature. Almost everybody who studies literature, especially in a historical context or in a contemporary context, honestly, is going to be talking about politics. Spencer, course, right? Milton. ⁓ How do you talk about somebody who was a literal revolutionary who wrote in favor of regicide and not talk about politics? You have to talk about politics.Henry Oliver (14:31)YouJulianne (14:37)⁓ But then there's become this confusion where people assume that if you are talking about the politics of literature, you have not just a political, but actually an ethical ⁓ teaching that you are imparting by way of that literature. And that if you're not doing that, you're somehow not talking about literature, you're not teaching the literature. That's the confusion that has been so devastating to us and I think so devastating to literary study.Henry Oliver (15:03)So what's the alternative? What should we be doing instead?Julianne (15:07)I I think that we should be talking about the politics of literature while acknowledging that literature raises political debates, not endless debates. know, there's not any given author is going to raise, you know, a certain salient set of questions that we can talk about, that we can debate and acknowledging that people historically have had different responses to these, that it has been used in different ways in different moments and that it is still used in different ways today. That doesn't mean that as intellectuals and scholars, we won't have our own positions that may inform our scholarshipin our writing and even our teaching, it just means that our positions do not shut down conversation and do not exhaust the range of possible positions.Henry Oliver (15:48)Yeah, and we should say, we're saying about, you you should teach conservative thought and stuff. I don't think either of you would identify as being on the right or conservative. So you're saying that from a, from that position. ⁓ How do we, how do we get out of this then? How do we leave politics at the door? Because when I read modern ⁓ literary scholarship, to me, it's either like very useful because it's not political.Julianne (16:01)Yeah.Henry Oliver (16:17)Or I just, as I did with that book that we all, or that Jeff and I, sort of disagreed about. I just find it almost unreadable because it's not scholarship anymore. It's just partisanship. How do we move past this? Like, what's the solution?Jeffrey Lawrence (16:33)I mean, if I can jump in just there, I mean, I would say one of the issues is having an ideological litmus test for scholars. And I think I see this in 20th and 21st century literature in a very strong way. And so what I would say is that, you know, allowing people to occupy different political positions, and I really meanJulianne (16:33)I mean, if I could jump in just there, I mean, I would say one of the issues is having an ideological litmus test for scholars. And I think I see this in 20th and 21st century literature in a very strong way. And so what I would say is that allowing people to occupy different political positions, and I really mean,Henry Oliver (16:36)Yeah.Jeffrey Lawrence (17:03)like people who I know on the left because they're not toeing a particular line are also not welcome or are also kind of meat pushback in contemporary humanities departments that I think we need to get rid of that. And my thought about the Adam Kelly book, ⁓ the New Sincerity book is that to me, I think that what he's trying to do in that bookHenry Oliver (17:10)Yeah, yeah.Jeffrey Lawrence (17:31)is to understand neoliberalism as an economic and political philosophy that has effects on culture and to try to understand how authors themselves are dealing with that in their prose.To me, that is somewhat different from the way that neoliberalism is occasionally bandied about in the academy, where it doesn't just, it isn't just another word for saying, okay, this is the Chicago school or the Austrian school, and we're gonna kind of take it seriously as a mode of thought. if just saying like, neoliberalism is like our ontological condition in the 21st century, and therefore everything is.necessarily an expression of neoliberalism and we don't need to necessarily define it. So I mean, I think that may be where the disagreement extends is that I think that ⁓ Adam Kelly is trying to sort of be precise about that politics in order to understand how contemporary writers generally on the left are using it. Whereas I think that the kind of more wishy washy version of that isHenry Oliver (18:37)Mm-hmm.Jeffrey Lawrence (18:44)You know, just to say that neoliberalism is the air that we breathe. And there, I think I agree with you that it's just not super helpful.Henry Oliver (18:49)Mmm.Yeah, my problem with the book was that he would not tell you what did Hayek think or say. He would say Hayek was a cheerleader for the free market. Or he would not tell you what is the Gary Becker view of human capital. He would say human capital is an ideology that infuses itself into every aspect of your life so that you can no longer be separate from the market. And it's all this stuff, and it's like, well, that's nothing to do with Hayek and Gary Becker. ⁓Jeffrey Lawrence (19:19)Can I just,just one thing on that, is that, I mean, I did go back and I mean, he has these moments where he's talking specifically about Hayek and the road to serfdom and saying, I think that this is a worldview in which, he'll quote Hayek talking about the problem with representative democracy and say, the real moral choices are choices that are made in the market.To me, I think that that is to engage to a certain degree with the thought. It is true, I think, as often happens in scholarship that you have the people who are defining a phenomenon from the perspective that you may be interested in. So there are a number of people from the left who are criticizing neoliberalism. I see him as engaging a little bit more than you do.Henry Oliver (20:11)Mmm.Jeffrey Lawrence (20:11)in that in that direct thought and particularly compared to other humanities scholars who do I think what you're saying which is to just do that. So that's where I think I see him as doing.Henry Oliver (20:18)sure, yeah.I guess you could summy critique up as being like, if this is the good version, things are worse than I thought. Yeah. Yeah. So from here, let's go to the question of what is academic Marxism?Jeffrey Lawrence (20:27)Okay, well.Henry Oliver (20:35)Because I think a lot of people think that there's a lot of Marxism in the academy and that if they're not woke, they're Marxists or maybe they're both, right? And ⁓ personally, I spend a lot of time trying to work out what these Marxists think and it's quite confusing. And there seem to be lots of, and Julianne, you and I have talked about this, all the different, some Marxists aren't Marxists, as it were. tell us, give us a quick overview of how Marxist things really are.Julianne (21:04)Yeah, I mean it's a very complicated question to answer.because Marxism is too, well, debatably a living tradition. ⁓ And there's a huge amount of disagreement about what constitutes Marxism, ⁓ what is a legitimate form of Marxism, what is not, where do the boundaries lie, what is reconcilable with other schools of thought, what is not. But I think the big picture is that beginning, even in the 60s, Marxism moved into academia. This is a story that is told very inflectionallyHenry Oliver (21:11)youJulianne (21:37)and Perry Anderson's considerations on Western Marxism, where he argues that in the West, Marxism becomes alienated from actual political, economic, and social movements. It moves into academia. And as a result, it becomes much more philosophical, much more abstruse, much less concerned with the traditional concerns of Marxism, labor and the politics of labor and the politics and economics of labor. And that this continues and is accelerated, in fact, in the Cold War. So what you get atthe same time, you have something called the cultural turn in history and in sociology, ⁓ the rise of what is, debatably called identity politics. so Marxism remains a current within that, but it's far less of an influential current as time goes by. ⁓ And I think that many, many people...use the word Marxism and would say that there are Marxist influences in their work, but they're not viewing it as a kind of systematic approach to economics or to economic history. And so at that point, I do think you have to ask, well, what does Marxism actually mean? There are certainly people that work with, you know, ideas that they refer to as Marxist, but that have implications that to my mind are entirely antithetical to Marxism. And so I kind of feelas somebody who does work within what I would call the historical materialist tradition.⁓ in a very sort of straightforwardly economic sense, know, are markets becoming more efficient in Renaissance England? Those kinds of questions. How much does bread cost? How much do books cost? Those kinds of questions. ⁓ If you're interested in that tradition within Marxist thought, you feel that it's actually really incredibly peripheral within academia in comparison to, say, the politics of gender ⁓ or other considerations of that kind. And there's just not always sensitivityHenry Oliver (23:16)Mm-hmm.Julianne (23:35)to whether these different schools of thought actually cohere in any meaningful or deep way. What would you say, Jeff?Jeffrey Lawrence (23:44)Yeah, that's, I mean, just to pick up on that, think that that's really helpful in that trajectory, which I also, know, the Perry Anderson, a lot of people who have talked about how Marxism.moves into the academy after the 1960s, I think it is just really important to say it becomes a different thing. And I think part of the confusion, Henry, may also be that it's like, so the Christopher Ruffo version of this is it's like, it's all Marxism, it's all everywhere. But then I think that becomes, it's so broad a definition of Marxism that what we're really talking about is aof progressive politics or sort of an amalgam of different ideas that may have some roots in Marxism of previous periods, but really don't, as Julianne is saying, really don't align with like Marxist thought or Marxian thought as such. And also as someone who does take that tradition very seriously, I think a lot about Silvia Federici, who's a feminist, know, a Marxist feminist. Like these are people who are absolutely steeped.in a Marxist political tradition. And in some ways, these are figures that may be very important to the contemporary tradition. But if you actually read what they're writing, it's like, it's an extremely watered down version that we get in the academy in part, and I'll just end with this, in part because to Julianne's point, I think it like when Marxism also becomesHenry Oliver (24:59)Mmm.Jeffrey Lawrence (25:10)a kind of one discourse among many that you are using in what are often very bourgeois institutions, then it becomes a kind of intellectual tool and sometimes even an intellectual weapon, as many of these things are, where the question of how it relates to practical politics, working class politics,politics outside of the academy becomes sort of secondary. And so then really we're not talking about someone who's a Marxist as in they're like fighting for the working class. You're talking about someone who's just using Marx as a tool, which is fine, but that certainly shouldn't give them any sort of like, you know, moral high ground when speaking from the position of the left is my view.Henry Oliver (25:53)Is there some inherent aspect of literature that means it has been more amenable to Marxist study of any description than it has been to, you know, ⁓systems of thought that come more from a kind of Adam Smith, Friedrich Hayek tradition. Because it's very striking to me how few liberals and libertarians they're currently, publicly currently, I know a lot of them keep it to themselves, some of them have said as much to me. ⁓ But is there some good literary reason for this? Or is it just an institutional ⁓ problem?Julianne (26:33)That's an interesting question. ⁓ I mean, there are sort of traditional reasons for this in thatMarxism from, you know, in Marxist writing from very early on was interested in the relationship between culture and historical change. So there's a very, even by the time you get to the beginning of the 20th century, there's already a very well developed materialist tradition for thinking about cultural change and cultural transformation over the long run in a way that I don't think is true ⁓ of rival ideologies. Not that there isn't great literary work, but that there's not the sameHenry Oliver (27:09)Sure, sure, sure.Julianne (27:11)kind of sense of a methodological tradition. So there's a lot of momentum there.⁓ But in terms of more intrinsic reasons, I don't know. I mean, it doesn't seem obvious. Certainly at other times and places, we haven't had the situation that we have now. I often find myself thinking of, know, Piketty's arguments, which this does not pertain to Marxism, but this does pertain to the ⁓ difference between the political parties in the US, which is just that ⁓ education has become the means of differentiating between two rival elites, you know, not...Henry Oliver (27:27)Mm.Julianne (27:47)a difference between a working class and an elite, but two rival elites that are actually distinguished by the university itself. So as long as the university plays that structural role, it seems unlikely that its politics are going to drift to the other side, because that is actually precisely what the university has become. ⁓ I don't know, what do you think, Jeff?Jeffrey Lawrence (28:06)Yeah, I mean, it's a really good question. I mean, I share the sense that, I mean, I think that there is an extraordinary ⁓ Marxist literary tradition that goes back to, you know, sort of Lukacs and these debates, Adorno, Horkheimer. These are critics that are important to me, cultural studies with people like Stuart Hall and Raymond Williams. I mean, they very much, I think, were, though,Henry Oliver (28:20)Mm-hmm.Jeffrey Lawrence (28:30)That was a kind of insurgent force, we could say, within the academy that has now become, I would say, almost entirely dominant. I personally, mean, one of the things when I was writing my first book was on US and Latin American literature. I was very interested in a certain liberal tradition that comes from, you know, John Dewey. We would now say that, I mean, it's not the liberalism of, you know, Milton Friedman and von Hayek, but it is,Dewey, think, was for many people the most important philosopher, aesthetic philosopher of the early part of the 20th century. And he was a sort of radical liberal who thought a lot about the liberal tradition. I people like Lionel Trilling with the liberal imagination, these were, I think, writers who were very important.Henry Oliver (29:16)Mm-hmm.Jeffrey Lawrence (29:19)in a particular moment. And I guess, you this is, you may see this as a dodge, I, Henry, but I definitely feel like these are books that are really important to my formation and whether or not I associate with a certain particular strain of contemporary ⁓ liberalism, I don't tend to think of myself necessarily in those terms. And so,Henry Oliver (29:26)HahahaJeffrey Lawrence (29:43)I think we really should be reading those because those types of people, people like John Dewey, people like Lionel Trilling, know, Philip Rav, these kind of mid-century intellectuals, they were really engaging in major debates and they were foundational for the field, even if now I think there may be some desire to take distance from them.Henry Oliver (30:07)It's the bigger problem that we should just get back to more for literature as literature.And once we allow a kind of methodological approach from one tradition or another, we're just no longer really studying literature. We're using literature to, like I had a professor once and they said an essay about Anglo-Saxon poetry with some Harold Bloom quote saying, none of this is any good. It's like the great age before the flood, that kind of thing. And I basically wrote an essay saying, yes, that's correct. And she did not like that. And I said, look, I bet you don't actually love anyof this poetry. I bet you don't care about any of this. You know, I just sort of... And she said, that's not the point. The point is that we can use it to impose the... You we can use it as a way of dealing with the ideas we want to deal with and having methodological... And I was just like, I'm never coming back. You know, goodbye. And that to me is kind of... Is that the more foundational problem, right? Some people want to take a kind of...Northrop Frye, Christopher Ricks, literature as literature approach, and some people want to have an extra literary methodology. Be it Freudian, be it feminist, be it identity politics, be it whatever. And that is the bigger sort of division here, and is the solution to just say Shakespeare is Shakespeare and you can keep the other stuff for your other classes.Julianne (31:33)Well, I don't know because, I mean, in terms of what actually goes into the classroom, I think that's a different question. I don't teach very much theory in the classroom. ⁓ But I don't think that we can just say that because the ability to say, you know, these are great works, this is part of a canon, it came with its own set of ideological commitments that are now...Henry Oliver (31:40)Show. Show, show, show.Julianne (31:57)sort of vanishing, right? So we need some kind of framework for making sense of why we read literary history at all, what its coherence is, what its shape is, what its structure is. A lot of those frameworks were implicit. didn't, you know, they were articulated, they didn't need to be articulated every single time because they were so woven into the whole system of education. As that becomes increasingly untrue, I think we do find ourselves in a position where we need to explain why we care about this object literature at all.in the first place. And I don't think just saying, you know, literature for literature's sake without situating it within some kind of wider account of culture really works. I don't know that situating it within some wider account of culture really works either in terms of persuading anyone, but I don't think you can say to people, look, Shakespeare is Shakespeare, we have to read him because he's great. I think you need to...Jeffrey Lawrence (32:45)Mm-hmm.Henry Oliver (32:45)HahahaJulianne (32:53)have an argument about the place that Shakespeare has in culture ought to have ⁓ because that is increasingly not true.Henry Oliver (33:02)So I mostly agree, but it is very striking to me. I mean, I sort of half agree. It is very striking to me that the just read it because it's great argument is winning a lot of ⁓ admirers on the internet, while some version of what you've just said is sort of dying in the academy. And I'm not saying that therefore that's a decisive factor and we should just do this. But in terms of getting people interested,that does see something on the internet among the new humanities culture on Substack and other places, does just seem to be resistant to these methodologies and ideology, right? Do you see what I'm saying? ⁓Jeffrey Lawrence (33:43)Can I, I mean, yeah, Imean, I would say, and we may just disagree on this, but I agree with Julianne that, I mean, the ideological context of a work, the historical context of work seems incredibly important. I saw Henry, yeah, yeah. And so I think that there, yeah, yeah, but I think that's not, I mean, I think we can't totally gloss over that because all three of us have had long educational sort of,Henry Oliver (33:58)sure, yeah. We're all historicists, yeah, yeah, yeah, yeah.Jeffrey Lawrence (34:11)a long educational formation that has allowed us to even have this conversation, let alone read these works. I, you you, you, I think you had a post about this on, on Austin about like, you know, sort of there, there are certain things that are helpful for you to know in order, once you're going into work. I think that that's different from the thing that you're pointing to and where I think I would agree with you, which is that when, when methodology becomes the TrumpHenry Oliver (34:15)Yes.Yeah, yeah, yeah.Jeffrey Lawrence (34:41)card over literature. think that that is that is an important cultural shift. And I think we are now at the point in which this is my formulation for it. It's like if you're just going to read literature for, you know, for a particular political thing, for Marxism, let's say, in order to understand, you know, sort of like a Marxist conception of society, why not just read Marxism?Henry Oliver (34:42)Hmm.Jeffrey Lawrence (35:11)like Marxist theory. mean, so I do think that that is a real problem and the failure, and to be fair to humanities scholars, this is, has been a big debate over the past five or 10 years. I think it's just more contested in the academic space than it is on Substack, where I think Substack is kind of demonstrating to my mind also that some of the more frank, I, I sweat, some of the more BS, yeah.Henry Oliver (35:11)Yes.Say what you want.Jeffrey Lawrence (35:39)Some of the more b******t arguments that I see about like, ⁓ well, there aren't X people, like there aren't white men who are writing and reading, and then you just see the tremendous number of people who are reading, they may just feel alienated from certain ways of doing things. And that, I think, that's a wide range of people. And I think it's a wide range of people who are turned off by certain things in the academy.Henry Oliver (35:49)yeah.Jeffrey Lawrence (36:07)I think a lot of that though has to do with a general problem that we need people in literary studies who deeply care about literature, regardless of what ideological thing, you know, where they're coming from. And if you are always just interested in the methodology that you're bringing to it, as opposed to literature, then this is going to be a long-term problem because people are going to start asking, why is it that we are reading literature?Henry Oliver (36:34)To what extent is that the basic problem that the universities have right now? To me that just seems to be it's that, right?Julianne (36:39)I think that's a huge problem. Yeah, I think it's a huge problem.Yeah, it's a huge problem. guess, you know, while sort of agreeing with you and definitely agreeing with Jeff, I guess what I would say to sort of refine what I was saying earlier is, no, I don't think you should study the methodologies instead of studying literature. Of course not.⁓ But the questions that the methodologies ask are really basic to the questions that we need to ask about the study of literature. So it's not that you should be studying Marxism or feminism or this or that instead of studying literature, but I don't think you can...totally do away with the questions of, what is this thing? What is its role in culture? What does it mean? Why do we study it over long, long periods of time? ⁓ It is, it has become very hard to make that, that case. And it's not that I think making that case explicitly is going to win converts as opposed to talking about the literature itself. In the end, it's going to be the literature itself, if it's going to be anything at all. But to have an account of the meaning of what we're doing, even for our own sakes, we do need to be thinking about questions like what is this thing?and why, right, which are supposed to be questions that methods help us ask.Jeffrey Lawrence (37:53)And can I just add to that kind of the, I mean, a word that we haven't used so far is specialization. And I think to a certain degree, like what may unite us in this conversation is a sense too, that like, that literature is not just like this particular corner that you're studying and that you're interested in because it's your field. And so,Henry Oliver (38:13)Mmm.Jeffrey Lawrence (38:16)Those type of turf battles, I think, are also really important to this. The sense that your topic is the thing that you specifically focus on and the difficulty of communicating that is an issue. And also just the sense that, like, I mean, my sense is you can be interested in history and sociology. Julianne and I are both interested in that. And also literature, so that it doesn't, I mean, part of it is, I think, restoring the notion that a kind of broadHenry Oliver (38:19)Yeah.Jeffrey Lawrence (38:46)like intellectual training is not a liability, but is actually something that you need in order to understand literature and that heightens your appreciation.Henry Oliver (38:57)Somewhere in one of Iris Murdoch's interviews, she talks about the state of literary undergraduates today, because obviously she was married to John Bailey and had a lot of, and this is like in the 80s or something, ⁓ and she said, well, they're not interested in just reading the literature and understanding the history of it anymore. They want to have all these crazy theories.It's very striking when you see stuff like that from 50 years ago. Did the cannon wars ever end? Did we ever change the arguments? In some ways, is this not just the Harold Bloom thing? It's still going, right? And one route out that I think you've identified is just ⁓ be broader. Just read more outside your own area.The people who everyone loves on Twitter, like CS Lewis and Harold Bloom, are the ones who weren't in their public facing work. They weren't narrow specialists. CS Lewis would do everything from some random Latin medieval writer to Jane Austen. And in a way, is that what we need? We just need to have more of that appreciation of the long history of literature.Jeffrey Lawrence (40:10)I mean, just one thing, then Julianna, I'd be curious to like from like a ⁓ 20th and 21st century perspective. Like I agree with that, but I also think that like that was Toni Morrison as well. I mean, talking about the classics, mean, part of the problem I think is that we have these readings of figures that become then sort of symbolic or totemic of.Henry Oliver (40:23)Yeah.Jeffrey Lawrence (40:33)like a contemporary, you know, whatever that may be, an identity category or whatever it may be. Whereas if you actually read Toni Morrison, absolutely voracious, absolutely thinking about like, you know, the classics, you know, thinking through Greek drama, ⁓ know, Faulkner, you know, ⁓ master's thesis on the outsider in Faulkner and Virginia Woolf. I mean, I think some of this also has to dowith something that has happened very specifically in the past 10 years of also subjecting figures of the past who were interested in that more Catholic notion of culture to these kind of like very selective readings. I mean, it's true of James Baldwin. I thought about this a lot. Like a lot of these figures who just didn't want to be boxed in in a particular identity way get then taken up asHenry Oliver (41:11)Hmm.Jeffrey Lawrence (41:26)kind of figures for that when actually, mean, in some ways they were, you know, I'm sure Toni Morrison and Harold Bloom wouldn't have agreed on everything, but there was actually, I mean, but really there is actually more alignment there than like the 2025 reading of them would give credit for.Henry Oliver (41:40)Yeah, yeah, yeah.Jeffrey Lawrence (41:47)Yeah, don't know, Julianne, if yeah.Julianne (41:49)Yeah, no, mean, I obviously I agree so, so entirely with.everything you're saying, but especially with your comments about longer literary histories, more capacious reading, know, longer, wider. Obviously you read cross linguistically and do work cross linguistically. So both broader and longer literary histories, much more than kind of a focus on methodology. Part of the reason I'm defending methodology here is because methodology, if used well, forces you outside of disciplinary specialization or can, has that capacity. In my field, the problem is not thatpeople are adhering to big sweeping methodologies anymore. In my field, the problem is that the big questions have almost disappeared, replaced by, in many cases, extremely excellent, detailed, narrow, pointillist empiricist work. I think that work is...valuable and it's foundational, but you can't have a field that just has that. You have to have something that makes the field cohere. You have to have questions that the field coheres around. know, and increasingly, I'm a historicist. I got into this because I love this kind of like, ⁓ you know,tell me everything about this particular edition of the Fairy Queen. ⁓ I love that kind of thing. ⁓ And yet at the same time, there is part of me that is starting to wonder.Henry Oliver (43:09)YouJeffrey Lawrence (43:10)YouJulianne (43:17)is it actually more relevant even for being a Renaissance literary scholar to have read every single person writing in England in 1592 and then maybe instead of Dante or going the other way, right? Instead of...Richardson or Voltaire. Like maybe we should be reading more Voltaire instead of every non-entity. And I'm guilty of this because my whole project is every non-entity who published a book in 1592. So this is very much self-critique. But that more capacious sense, and that more capacious sense exactly as Jeff says, is very much aligned with how writers themselves, especially great writers, approach literature. I teach Toni Morrison in my Shakespeare class sometimes because she has a short play on Desdemona.Jeffrey Lawrence (43:47)If you ⁓Henry Oliver (44:06)So we're obviously all going to await your blog about the different editions of the Fairy Queen and your favorite things about each of them. Just give us some examples of what the big questions would be and what these empirical questions that people are. Just make it sort of concrete for us what you're talking about there.Julianne (44:11)Hawell i mean there are a lot of people who have big ideas ⁓that maybe make their way into their own work, that show up in the introduction of their own work, but that are not defining the field in a meaningful way. There are a few debates that think are actually happening within my field that are interesting, like the extent to which ⁓ Renaissance literature should be understood on national versus international lines. I think that's quite an active one that's very interesting. ⁓ But I think a lot of books written in the Renaissance, and I don't wantHenry Oliver (44:39)Mm-hmm.Julianne (45:03)topoint to any one book because these are all you know good books and books that I like but a lot of books will be have a very narrow date range a set there you know the typical organization of a book in literary studies is to have a sort of thematic topic not always thematics sometimes it'sbook historical or cultural, but ⁓ often it will be a thematic topic. Say a topic like ⁓ shame in Renaissance literature, right? So you'll take shame in Renaissance literature. This is fictional. This isn't anybody's book. If it is accidentally somebody's book, I apologize. Shame in Renaissance literature, okay? And then you'll have this ⁓ contextualizing introduction where you might bring in a bit of Foucault and you might bring in various other theorists.Henry Oliver (45:23)Mm-hmm.Sure, sure,Jeffrey Lawrence (45:39)YouJulianne (45:52)But you will also go very, very deeply into, say, sermons, right, the sermon literature. And then you'll have five chapters. you know, one will be like Shakespeare play, and then maybe one will be Spencer. And then maybe one will be somebody, you know, more marginal or be Ben Johnson or there'll be Webster, you know. ⁓ And then you will put them, you know, this is the method of New Hizorizis. You'll put them beside legal documents and you'll put them beside sermons and you'll put them beside other very, very contextualized and often very well contextualized.works from the period. But you won't write a book that is like, you know, literature and shame, you know, across three centuries ⁓ that would then maybe potentially think about, you know, is there a fundamentally different way that drama versus the novel represent shame? Does this help us understand long range debates about interiority? And again, it's not that nobody ever does this. It's that the feelI feel English literature used to be more aligned over around these kind of shared long-term questions and debates and they're much less aligned around them now because of specialization and because of the sort of dynamic of know decline and and narrowing of prospects that Jeff has mentioned.Henry Oliver (47:11)A lot of people complain about the administrators, the way funding is done, the way you can only get funding for certain types of work, career structures, all these structural factors that make life either difficult as an academic or just force you into certain decisions and activities. ⁓ To what extent is writing on Substack actually going to be a beneficial solution?to get around those problems and to what extent is it just going to be a sort of useful addition and is going to be very stimulating for you all but might not, you know, might not actually change things. What's your sense of that?Jeffrey Lawrence (47:54)This was something I've thought about this a lot because I wrote for the Chronicle of Higher Education. think Julianne and I have both write or have written for the Chronicle and something that was on the public humanities and I very specifically this is 2022 or 2023 said like, sub stack is not going to be the solution. Partially and my point there was something that I still believe to a certain extent which is thatas someone who has worked in different public humanities ⁓ programs, as someone who knows to a certain degree the publishing industry in the US and Latin America and has done work on that, I think that it's hard to ⁓ exaggerate the degree to which funding for this type of research, it's just really expensive and the existing funding models that exist for something like Substack or I mean any other sort of ⁓platform economy, even public humanities projects, it's just really hard to do. So I'm much more in favor. So I think Substack is really important as a venue. I think that as a potential model for, you know, a sustainable model for doing academic scholarship, I see a lot more limitations. And that's why I've said, I mean, I think in some ways, if the types of conversations that happen on Substack,could be then imported back into our fields. Like, I don't think we should just destroy the institutions and get rid of these departments. I think that there needs to be a sort of infusion of these types of debates that are happening on Substack in the university, because the universities have funding, you know, have funding. And I think it's partially about fighting for that, this kind of holistic thing that we've been talking about up to this point.Julianne (49:49)Yeah, I completely agree. That's my view as well. I don't think that Substack's funding model would actually be good for scholarship. I'm not saying that you couldn't get a few people making it viable, but for a scholarship as a whole, I think it would be terrible for scholarship as a whole. At the same time, for the reasons we've been discussing here, we need to be talking with other people and not just with people in our subfield of a subfield of a subfield. And Substack is great for that.Henry Oliver (50:18)I sometimes think that if you can draw a distinction between scholarship and criticism, the academy can keep the scholarship and the criticism needs to come outside. You can all still write it, right? But it needs to be done in a way that is free of all the institutional incentives and constraints and just all that problem and you can all just be free to say other things online.Jeffrey Lawrence (50:43)I mean, just very quickly on that, I mean, I do think that in my personal case, because I came to Substack partially because I had a very bad experience with a kind of ⁓ a piece that I had pitched to like a venue that was, you know, sort of like progressive venue where I felt like I was saying things about contemporary author that everyone else was saying, right? It was a kind of public secret, a kind of critique of this writer.And I felt like it was not going to be published in any of those venues and in the Academy itself, that would be a problem. And not because this was something that even, you know, sort of ⁓ departed so much from things that people would say, but just because of kind of like the power structures. And since I've been on Substack, I've had multiple people, particularly with the first Substack piece that I wrote, but with other ones as well.Henry Oliver (51:11)Mmm.Jeffrey Lawrence (51:35)people in academia telling me, thank you for saying this. And also I'm reading your sub stack as an academic right now. But I also, do think that there remains, I mean, it's changing, but I do think that there's speaking of shame, like there are people who they're just not sure as graduate students.what they can say and what they can't say. And I think that's a real issue. So I agree, criticism is important, but even for scholarships too, I think that there need to be taboos that are broken in order for scholarship, as Julianne said, to kind of like return to that more sort of vibrant feel that it once had.Julianne (52:20)Yeah, I think that's right. Obviously those taboos are less present in my field than in yours because the contemporary stakes are much less clear. ⁓ And sometimes I'm jealous of people who work in the contemporary field because there are stakes. And then I hear things like what you just said and I'm no longer so jealous. But yeah, no, do think that...Henry Oliver (52:35)YouJeffrey Lawrence (52:35)YouJulianne (52:46)People, even beyond what you would think that they would plausibly need to be, people are very cautious and graduate students especially are very cautious and even having the example of people saying things publicly is incredibly important and helpful.Henry Oliver (53:02)It's interesting how many PhD students there are on Substack. There are several English literature PhD students and I find it amazing actually that they're writing a Substack ⁓ rather than writing something academic. This to me is a very clear signal of something is changing, right? Something important is changing.Jeffrey Lawrence (53:28)I would say it's pragmatic too. I mean, I don't think that there's any reason people shouldn't graduate students. I don't think that they necessarily need to have a substack, but I also, I just think that there's a kind of recognition that, you know, especially at this moment, mean, frankly, with a lot of this does have to do with the Trump administration and kind of the way that it's been directed very specifically at, you know, sort of the humanities andHenry Oliver (53:47)Mm-hmm.Jeffrey Lawrence (53:53)So I do think that there's a kind of sense that the hiring isn't happening. And so it's like, well, why am I going to invest in this very small possibility of getting an, an academic job or even better yet, I'm going to build my own audience. I'm going to talk about these things because that's going to empower me at the moment in which I'm actually looking for jobs. So I, I, I'm like, I agree with you that I think it's just like, ⁓ it's a pretty astonishing thing.in the sense of the sort of initiative, but it also kind of makes sense given the world that exists.Julianne (54:30)Yeah, mean, you know, our graduate students are not.coming in, I'm sure yours are the same way, they're not coming in thinking they're going to get jobs ⁓ anymore. So they're coming in thinking, I have six years to build the kind of intellectual life to become the kind of writer and the kind of thinker that I want to be. And that's the priority, much more than anything sort of pragmatic about what they might do in terms of future career prospects, because most of them have absolutely no idea. It's much more about how can I find an intellectual community? How can I become the kindintellectual I want to be. And if academia is not going to be their home long term for that, it cannot be in academia. It has to be elsewhere. In addition, now that there are fewer conferences, journals, you know, are delayed by years. That was another thing that got me on Substack is I wrote a review.And I wrote the review as soon as I got the book. I wrote the review that I was asked to review. Then like, you know, six weeks, sent it back. ⁓ It took four years for the review to appear in that journal. And I was like, why, how can we possibly have a conversation when this journal has just been sitting on this copy edited review until they could find a slot for it in their, you know, in this day and age? How can that be the case? You know, so I think, you know, that's also part of what's going on.Henry Oliver (55:49)Yes.So are you running introduction to sub-stack classes for your graduate students? This is not yet, yes.Julianne (55:59)No, not yet, not yet.Jeffrey Lawrence (56:00)Yeah, yeah. I mean,interestingly, we had an event with Lincoln Michelle, who's a very popular at Rutgers, who's a very popular Substack writer. I mean, that was one of our, was a hugely well attended event. I mean, I do think, and it doesn't necessarily need to be just Substack, but I think public intellectual work, think graduate students and also undergraduates, they want to understand this because they know ⁓Henry Oliver (56:08)Mm-mm.Jeffrey Lawrence (56:29)precisely what Julianne said, that it's not gonna work for them to just stay in their lane and keep the blinders on and keep going. Even if they want a career in academia, they know that they need to be involved in these other things. so, I mean, to the extent that I think we can do that in our institutions and give them a sense of what's going on, I mean, definitely we're thinking about that at Rutgers.Henry Oliver (56:55)If the humanities goes into some sort of terminal decline and there are fewer departments and the student numbers never recover and all these blah blah blah, all these bad things, ⁓ does it matter?Julianne (57:08)Well, for what? mean...Jeffrey Lawrence (57:10)Ha ha.Henry Oliver (57:10)Well, because everyone talksabout it like, the humanities are dying, this is terrible. And I'm like, what's the problem? We had like English literature was the number one subject for undergraduates, and now it's not, right? What is the actual problem if the humanities are in this terminal decline? No, I get that it's all bad for you. Yeah, no, for all of you, of course, right? But like, what's the what's the actual problem here? Yeah.Jeffrey Lawrence (57:27)You mean besides the jobs of, mean, because part of that, right, right, Yeah, for us. But for society.Henry Oliver (57:38)Obviously when someone doesn't have a job or can't get a job, like of course, of course. But can you give us a succinct explanation of why people who are not involved in it should care about the decline of the humanities or should recognize that it's something that we don't want to happen in some way?Julianne (57:56)I mean, I think the sort of simplest thing is that we still do have, it's fading, but we still do have some shared cultural literary heritage ⁓ or basis. Yeah, I don't use the word heritage since it's a kind of nationally charged word, but some kind of shared basis that allows us to talk with each other about literature. ⁓ And most of this, think, is predicated not on the university, but on the high school canon.Henry Oliver (58:11)Sure.Julianne (58:25)is an extension of that. So I think our number one thing should be the high school curriculum. ⁓ But then our number two thing should be ⁓ ensuring that people have some kind of foundation in, you know, a...as wide a range as we can give them of literary texts that they get in university because that is the basis of a shared literary culture. I don't think you get, you know, I don't think you get a wider literary culture where people can talk about things, ⁓ you know, like 18th century books or, you know, 19th or 20th century books across the world ⁓ without having some kind of institutional basis, having some kind of shared institutional structure that people have passed through. Otherwise, what you will get is people, you know, picking up thingsyou know, a bit here, a bit there. Some of them will be so unfamiliar that they will be put off by it. Some of them maybe won't. ⁓ But you won't get anything like a common culture. And for me, that's sort of intrinsically good. But there is also this kind of idealistic ⁓ democratic aspect to this that you got in the mid-20th century in the post-war expansion of higher education and also the expansion of public education. This idea that you would have a citizenship thatbe participating in intellectual, philosophical, and political culture at a very high level. I don't see how you get that without having some kind of shared institutional basis for it.Jeffrey Lawrence (59:50)Yeah, mean, would just, yeah, I think everything and then maybe the only like word that I would use that you didn't use there is just kind of like literacy. mean, cultural literacy, but actual literacy, because I do think that beyond the culture wars, like the one thing that I think I'd like across the political spectrum is that there is this sense that a certain ability to read and to engage in civic life is declining.⁓ And so, yeah, I mean, I think that reading all sorts of texts is important and having cultural literacy is important to having an informed citizenry. So that to me seems like the reason for doing it. But as Julianne says, and maybe this doesn't totally answer the question, because I do think some of these are perhaps like for us at the college level, it's a little bit downstream of these sort of.broader issues, which is one more reason I think that making the case about why we should care about literature is also on us. It shouldn't just be assumed, as you're saying, Henry, that because we want jobs that this is good for everyone. I think we need to make that case.Henry Oliver (1:01:05)Will you be making that case on Substack?Jeffrey Lawrence (1:01:09)Yeah, mean, don't know, I mean, I think, you know, sort of more and more, I do think that, you know, that we need to be doing this. I mean, for me, everything that's happened over the past couple of years, I think the way my sense of kind of like the failure of a certain liberal project after the Trump election, you know, last year was really important to me in saying there is a way that we're going about the assumptions that we have aboutHenry Oliver (1:01:10)HahahaJulianne (1:01:11)ThankJeffrey Lawrence (1:01:38)literacy and what we should be doing and the role of academic scholarship. I mean, that I feel like was a turning point, at least personally for me. And I think engaging in places like Substack, but just generally in like public culture, to me, seems like it's just like it is the one avenue that we have. So yes, I guess.Henry Oliver (1:02:00)If your colleagues are listening and you both want to say something to them to encourage them onto Substack, what would you say?Julianne (1:02:10)Jeff, your colleagues, ⁓ do they subscribe to your Substack? Because one of the things that has happened is at first nobody, you know, I told a couple friends, but nobody else knew about this. But now more and more members of my department have subscribed to my Substack, which feels like, which does make it feel sort of high stakes in a different way. Has that happened to you?Henry Oliver (1:02:28)YouJeffrey Lawrence (1:02:32)I'm still pretty under the radar. ⁓ I have some colleagues, I know that there's some graduate students who also read it, ⁓ I mean, and colleague is a small thing. I'm more like, you my colleagues, have a great relationship with my department. I talk to them and sort of, but I think it's more like colleagues in general in terms of the academy that is important.Right? mean, and it again, I don't think it necessarily has to be sub-stacked, but it just shouldn't be Twitter. mean, I think that the long form writing that one finds in the debates for me, at least this is where it's happening right now. And so that would be my pitch is that I just think that the debates that are happening are better than they are anywhere else on the internet.Henry Oliver (1:03:18)Thank you both. I thought this was very interesting and I hope it encourages more of your peers to come and join us on Substack This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.commonreader.co.uk

Stamford Chidge & JK are joined by Dan Silver to look ahead to the match against Fulham on Wednesday. Hosted on Acast. See acast.com/privacy for more information.

Stamford Chidge & JK are joined by Dan Silver to look back at a gloriously unpredictable result against Man City. Hosted on Acast. See acast.com/privacy for more information.

Join Phil, Pete and team-builders Jim, Rob Banks, Dan Silver and Simon Pentol as they lock horns to produce the best 11 from the Redknapp era. ⁠westhampodcast.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@westhampodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Produced by Paul Myers and Mike Leigh  A Playback Media Production  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Copyright 2025 Playback Media Ltd - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Phil, Jim, Pete and Dan Silver boycott the podcast. 1hr of silence. Only joking. westhampodcast.com⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠@westhampodcast⁠⁠⁠⁠⁠⁠⁠⁠  Produced by Paul Myers and Mike Leigh  A Playback Media Production  ⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk⁠⁠⁠⁠⁠⁠⁠⁠  Copyright 2025 Playback Media Ltd - ⁠⁠⁠⁠⁠⁠⁠⁠playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Stamford Chidge & JK are joined by Dan Silver to look back at a euphoric victory of Liverpool. Hosted on Acast. See acast.com/privacy for more information.

Stamford Chidge & JK are joined by Dan Silver to look back at the debacle against Utd at Old Trafford and ahead to Tuesday nights Carabao Cup tie away to Lincoln City. Hosted on Acast. See acast.com/privacy for more information.

Stamford Chidge & JK are joined by Dan Silver to look ahead to West Ham v Chelsea. James Jones from We Are West Ham joins us for the Opposition View. Hosted on Acast. See acast.com/privacy for more information.

Bored with the lack of signings, Phil, Jim, Pete and Dan Silver have a U.S-style draft and build a team each. Vote for the best one on the S!HT Facebook page. ⁠westhampodcast.com⁠⁠  ⁠⁠@westhampodcast⁠⁠  Produced by Paul Myers and Mike Leigh  A Playback Media Production  ⁠⁠playbackmedia.co.uk⁠⁠  Copyright 2025 Playback Media Ltd - ⁠⁠playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Vinyl Score. Phil, Pete, Dan Silver and Kosmo Vinyl talk Ipswich, transfers and the cultural history of Southend. Why not go to this free exhibition? https://www.southendmuseums.co.uk/exhibitions/the-thames-group-of-artists-present-'scene-by-the-sea' westhampodcast.com⁠  ⁠@westhampodcast⁠  Produced by Paul Myers and Mike Leigh  A Playback Media Production  ⁠playbackmedia.co.uk⁠  Copyright 2025 Playback Media Ltd - ⁠playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dan Silver joins Chas. and Mouch once more to look forward to our must-win match at the Bridge against Everton, and to ponder whether we're really capable of Champions League football. chelseapodcast.net  @chelseapodcast  Produced by Paul Myers and Mike Leigh  A Playback Media Production  playbackmedia.co.uk  Copyright 2025 Playback Media Ltd - playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Chas., Mouch and Chelsea Supporters' Trust member Dan Silver look back on a week that went from the dreadful low of the loss against Legia, to the delight of the derby win at Fulham. chelseapodcast.net  @chelseapodcast  Produced by Paul Myers and Mike Leigh  A Playback Media Production  playbackmedia.co.uk  Copyright 2025 Playback Media Ltd - playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Phil, Pete and Jim are joined by Simon Pentol KC and Dan Silver to talk rubbish Hammers, Paquetá's prospects and Phil and Jim's match day double-header. westhampodcast.com  @westhampodcast  Produced by Paul Myers and Mike Leigh  A Playback Media Production  playbackmedia.co.uk  Copyright 2025 Playback Media Ltd - playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Stamford Chidge is joined by JK and Dan Silver to look ahead to Chelsea's Conference League Cup match against FC Copenhagen on Thursday. Hosted on Acast. See acast.com/privacy for more information.

Stamford Chidge & Jonathan Kydd are joined by Dan Silver and special guest Dylan Polk from Carefree Louisiana Hosted on Acast. See acast.com/privacy for more information.

Phil, Jim and Pete are joined by Dan Silver and Mark Gower to talk leaks - defensive and media. westhampodcast.com  @westhampodcast  Produced by Paul Myers and Mike Leigh  A Playback Media Production  playbackmedia.co.uk  Copyright 2025 Playback Media Ltd - playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Isaiah, Chef and the returning Dan Silver are back with the Flyers at 14-13-4 and fighting for a wild card spot after 31 games. We're joined by Rachel Donner from the Locked On Flyers podcast (https://lockedonpodcasts.com/podcasts/locked-on-flyers/) to discuss: the Flyers in playoff contention; Emil Andrae sits while Yegor Zamula plays; Aleksei Kolosov is the #2 goalie, while Ivan Fedotov is in limbo; Flyers fans wait for a trade; Jacob Gaucher signs an ELC; Flyer prospects at the WJC and more!  

Stamford Chidge is joined by Dan Silver and Mark Meehan to look back at a superb 3-0 win against Villa and ahead to wednesday night's match away to Saints. Hosted on Acast. See acast.com/privacy for more information.

We are recording our next big recap episode and taking questions! Submit questions and messages on Speakpipe here for a chance to appear on the show!Also subscribe to our calendar for our Singapore, NeurIPS, and all upcoming meetups!In our first ever episode with Logan Kilpatrick we called out the two hottest LLM frameworks at the time: LangChain and Dust. We've had Harrison from LangChain on twice (as a guest and as a co-host), and we've now finally come full circle as Stanislas from Dust joined us in the studio.After stints at Oracle and Stripe, Stan had joined OpenAI to work on mathematical reasoning capabilities. He describes his time at OpenAI as "the PhD I always wanted to do" while acknowledging the challenges of research work: "You're digging into a field all day long for weeks and weeks, and you find something, you get super excited for 12 seconds. And at the 13 seconds, you're like, 'oh, yeah, that was obvious.' And you go back to digging." This experience, combined with early access to GPT-4's capabilities, shaped his decision to start Dust: "If we believe in AGI and if we believe the timelines might not be too long, it's actually the last train leaving the station to start a company. After that, it's going to be computers all the way down."The History of DustDust's journey can be broken down into three phases:* Developer Framework (2022): Initially positioned as a competitor to LangChain, Dust started as a developer tooling platform. While both were open source, their approaches differed – LangChain focused on broad community adoption and integration as a pure developer experience, while Dust emphasized UI-driven development and better observability that wasn't just `print` statements.* Browser Extension (Early 2023): The company pivoted to building XP1, a browser extension that could interact with web content. This experiment helped validate user interaction patterns with AI, even while using less capable models than GPT-4.* Enterprise Platform (Current): Today, Dust has evolved into an infrastructure platform for deploying AI agents within companies, with impressive metrics like 88% daily active users in some deployments.The Case for Being HorizontalThe big discussion for early stage companies today is whether or not to be horizontal or vertical. Since models are so good at general tasks, a lot of companies are building vertical products that take care of a workflow end-to-end in order to offer more value and becoming more of “Services as Software”. Dust on the other hand is a platform for the users to build their own experiences, which has had a few advantages:* Maximum Penetration: Dust reports 60-70% weekly active users across entire companies, demonstrating the potential reach of horizontal solutions rather than selling into a single team.* Emergent Use Cases: By allowing non-technical users to create agents, Dust enables use cases to emerge organically from actual business needs rather than prescribed solutions.* Infrastructure Value: The platform approach creates lasting value through maintained integrations and connections, similar to how Stripe's value lies in maintaining payment infrastructure. Rather than relying on third-party integration providers, Dust maintains its own connections to ensure proper handling of different data types and structures.The Vertical ChallengeHowever, this approach comes with trade-offs:* Harder Go-to-Market: As Stan talked about: "We spike at penetration... but it makes our go-to-market much harder. Vertical solutions have a go-to-market that is much easier because they're like, 'oh, I'm going to solve the lawyer stuff.'"* Complex Infrastructure: Building a horizontal platform requires maintaining numerous integrations and handling diverse data types appropriately – from structured Salesforce data to unstructured Notion pages. As you scale integrations, the cost of maintaining them also scales. * Product Surface Complexity: Creating an interface that's both powerful and accessible to non-technical users requires careful design decisions, down to avoiding technical terms like "system prompt" in favor of "instructions." The Future of AI PlatformsStan initially predicted we'd see the first billion-dollar single-person company in 2023 (a prediction later echoed by Sam Altman), but he's now more focused on a different milestone: billion-dollar companies with engineering teams of just 20 people, enabled by AI assistance.This vision aligns with Dust's horizontal platform approach – building the infrastructure that allows small teams to achieve outsized impact through AI augmentation. Rather than replacing entire job functions (the vertical approach), they're betting on augmenting existing workflows across organizations.Full YouTube EpisodeChapters* 00:00:00 Introductions* 00:04:33 Joining OpenAI from Paris* 00:09:54 Research evolution and compute allocation at OpenAI* 00:13:12 Working with Ilya Sutskever and OpenAI's vision* 00:15:51 Leaving OpenAI to start Dust* 00:18:15 Early focus on browser extension and WebGPT-like functionality* 00:20:20 Dust as the infrastructure for agents* 00:24:03 Challenges of building with early AI models* 00:28:17 LLMs and Workflow Automation* 00:35:28 Building dependency graphs of agents* 00:37:34 Simulating API endpoints* 00:40:41 State of AI models* 00:43:19 Running evals* 00:46:36 Challenges in building AI agents infra* 00:49:21 Buy vs. build decisions for infrastructure components* 00:51:02 Future of SaaS and AI's Impact on Software* 00:53:07 The single employee $1B company race* 00:56:32 Horizontal vs. vertical approaches to AI agentsTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai.Swyx [00:00:11]: Hey, and today we're in a studio with Stanislas, welcome.Stan [00:00:14]: Thank you very much for having me.Swyx [00:00:16]: Visiting from Paris.Stan [00:00:17]: Paris.Swyx [00:00:18]: And you have had a very distinguished career. It's very hard to summarize, but you went to college in both Ecopolytechnique and Stanford, and then you worked in a number of places, Oracle, Totems, Stripe, and then OpenAI pre-ChatGPT. We'll talk, we'll spend a little bit of time about that. About two years ago, you left OpenAI to start Dust. I think you were one of the first OpenAI alum founders.Stan [00:00:40]: Yeah, I think it was about at the same time as the Adept guys, so that first wave.Swyx [00:00:46]: Yeah, and people really loved our David episode. We love a few sort of OpenAI stories, you know, for back in the day, like we're talking about pre-recording. Probably the statute of limitations on some of those stories has expired, so you can talk a little bit more freely without them coming after you. But maybe we'll just talk about, like, what was your journey into AI? You know, you were at Stripe for almost five years, there are a lot of Stripe alums going into OpenAI. I think the Stripe culture has come into OpenAI quite a bit.Stan [00:01:11]: Yeah, so I think the buses of Stripe people really started flowing in, I guess, after ChatGPT. But, yeah, my journey into AI is a... I mean, Greg Brockman. Yeah, yeah. From Greg, of course. And Daniela, actually, back in the days, Daniela Amodei.Swyx [00:01:27]: Yes, she was COO, I mean, she is COO, yeah. She had a pretty high job at OpenAI at the time, yeah, for sure.Stan [00:01:34]: My journey started as anybody else, you're fascinated with computer science and you want to make them think, it's awesome, but it doesn't work. I mean, it was a long time ago, it was like maybe 16, so it was 25 years ago. Then the first big exposure to AI would be at Stanford, and I'm going to, like, disclose a whole lamb, because at the time it was a class taught by Andrew Ng, and there was no deep learning. It was half features for vision and a star algorithm. So it was fun. But it was the early days of deep learning. At the time, I think a few years after, it was the first project at Google. But you know, that cat face or the human face trained from many images. I went to, hesitated doing a PhD, more in systems, eventually decided to go into getting a job. Went at Oracle, started a company, did a gazillion mistakes, got acquired by Stripe, worked with Greg Buckman there. And at the end of Stripe, I started interesting myself in AI again, felt like it was the time, you had the Atari games, you had the self-driving craziness at the time. And I started exploring projects, it felt like the Atari games were incredible, but there were still games. And I was looking into exploring projects that would have an impact on the world. And so I decided to explore three things, self-driving cars, cybersecurity and AI, and math and AI. It's like I sing it by a decreasing order of impact on the world, I guess.Swyx [00:03:01]: Discovering new math would be very foundational.Stan [00:03:03]: It is extremely foundational, but it's not as direct as driving people around.Swyx [00:03:07]: Sorry, you're doing this at Stripe, you're like thinking about your next move.Stan [00:03:09]: No, it was at Stripe, kind of a bit of time where I started exploring. I did a bunch of work with friends on trying to get RC cars to drive autonomously. Almost started a company in France or Europe about self-driving trucks. We decided to not go for it because it was probably very operational. And I think the idea of the company, of the team wasn't there. And also I realized that if I wake up a day and because of a bug I wrote, I killed a family, it would be a bad experience. And so I just decided like, no, that's just too crazy. And then I explored cybersecurity with a friend. We're trying to apply transformers to cut fuzzing. So cut fuzzing, you have kind of an algorithm that goes really fast and tries to mutate the inputs of a library to find bugs. And we tried to apply a transformer to that and do reinforcement learning with the signal of how much you propagate within the binary. Didn't work at all because the transformers are so slow compared to evolutionary algorithms that it kind of didn't work. Then I started interested in math and AI and started working on SAT solving with AI. And at the same time, OpenAI was kind of starting the reasoning team that were tackling that project as well. I was in touch with Greg and eventually got in touch with Ilya and finally found my way to OpenAI. I don't know how much you want to dig into that. The way to find your way to OpenAI when you're in Paris was kind of an interesting adventure as well.Swyx [00:04:33]: Please. And I want to note, this was a two-month journey. You did all this in two months.Stan [00:04:38]: The search.Swyx [00:04:40]: Your search for your next thing, because you left in July 2019 and then you joined OpenAI in September.Stan [00:04:45]: I'm going to be ashamed to say that.Swyx [00:04:47]: You were searching before. I was searching before.Stan [00:04:49]: I mean, it's normal. No, the truth is that I moved back to Paris through Stripe and I just felt the hardship of being remote from your team nine hours away. And so it kind of freed a bit of time for me to start the exploration before. Sorry, Patrick. Sorry, John.Swyx [00:05:05]: Hopefully they're listening. So you joined OpenAI from Paris and from like, obviously you had worked with Greg, but notStan [00:05:13]: anyone else. No. Yeah. So I had worked with Greg, but not Ilya, but I had started chatting with Ilya and Ilya was kind of excited because he knew that I was a good engineer through Greg, I presume, but I was not a trained researcher, didn't do a PhD, never did research. And I started chatting and he was excited all the way to the point where he was like, hey, come pass interviews, it's going to be fun. I think he didn't care where I was, he just wanted to try working together. So I go to SF, go through the interview process, get an offer. And so I get Bob McGrew on the phone for the first time, he's like, hey, Stan, it's awesome. You've got an offer. When are you coming to SF? I'm like, hey, it's awesome. I'm not coming to the SF. I'm based in Paris and we just moved. He was like, hey, it's awesome. Well, you don't have an offer anymore. Oh, my God. No, it wasn't as hard as that. But that's basically the idea. And it took me like maybe a couple more time to keep chatting and they eventually decided to try a contractor set up. And that's how I kind of started working at OpenAI, officially as a contractor, but in practice really felt like being an employee.Swyx [00:06:14]: What did you work on?Stan [00:06:15]: So it was solely focused on math and AI. And in particular in the application, so the study of the larger grid models, mathematical reasoning capabilities, and in particular in the context of formal mathematics. The motivation was simple, transformers are very creative, but yet they do mistakes. Formal math systems are of the ability to verify a proof and the tactics they can use to solve problems are very mechanical, so you miss the creativity. And so the idea was to try to explore both together. You would get the creativity of the LLMs and the kind of verification capabilities of the formal system. A formal system, just to give a little bit of context, is a system in which a proof is a program and the formal system is a type system, a type system that is so evolved that you can verify the program. If the type checks, it means that the program is correct.Swyx [00:07:06]: Is the verification much faster than actually executing the program?Stan [00:07:12]: Verification is instantaneous, basically. So the truth is that what you code in involves tactics that may involve computation to search for solutions. So it's not instantaneous. You do have to do the computation to expand the tactics into the actual proof. The verification of the proof at the very low level is instantaneous.Swyx [00:07:32]: How quickly do you run into like, you know, halting problem PNP type things, like impossibilities where you're just like that?Stan [00:07:39]: I mean, you don't run into it at the time. It was really trying to solve very easy problems. So I think the... Can you give an example of easy? Yeah, so that's the mass benchmark that everybody knows today. The Dan Hendricks one. The Dan Hendricks one, yeah. And I think it was the low end part of the mass benchmark at the time, because that mass benchmark includes AMC problems, AMC 8, AMC 10, 12. So these are the easy ones. Then AIME problems, somewhat harder, and some IMO problems, like Crazy Arm.Swyx [00:08:07]: For our listeners, we covered this in our Benchmarks 101 episode. AMC is literally the grade of like high school, grade 8, grade 10, grade 12. So you can solve this. Just briefly to mention this, because I don't think we'll touch on this again. There's a bit of work with like Lean, and then with, you know, more recently with DeepMind doing like scoring like silver on the IMO. Any commentary on like how math has evolved from your early work to today?Stan [00:08:34]: I mean, that result is mind blowing. I mean, from my perspective, spent three years on that. At the same time, Guillaume Lampe in Paris, we were both in Paris, actually. He was at FAIR, was working on some problems. We were pushing the boundaries, and the goal was the IMO. And we cracked a few problems here and there. But the idea of getting a medal at an IMO was like just remote. So this is an impressive result. And we can, I think the DeepMind team just did a good job of scaling. I think there's nothing too magical in their approach, even if it hasn't been published. There's a Dan Silver talk from seven days ago where it goes a little bit into more details. It feels like there's nothing magical there. It's really applying reinforcement learning and scaling up the amount of data that can generate through autoformalization. So we can dig into what autoformalization means if you want.Alessio [00:09:26]: Let's talk about the tail end, maybe, of the OpenAI. So you joined, and you're like, I'm going to work on math and do all of these things. I saw on one of your blog posts, you mentioned you fine-tuned over 10,000 models at OpenAI using 10 million A100 hours. How did the research evolve from the GPD 2, and then getting closer to DaVinci 003? And then you left just before ChatGPD was released, but tell people a bit more about the research path that took you there.Stan [00:09:54]: I can give you my perspective of it. I think at OpenAI, there's always been a large chunk of the compute that was reserved to train the GPTs, which makes sense. So it was pre-entropic splits. Most of the compute was going to a product called Nest, which was basically GPT-3. And then you had a bunch of, let's say, remote, not core research teams that were trying to explore maybe more specific problems or maybe the algorithm part of it. The interesting part, I don't know if it was where your question was going, is that in those labs, you're managing researchers. So by definition, you shouldn't be managing them. But in that space, there's a managing tool that is great, which is compute allocation. Basically by managing the compute allocation, you can message the team of where you think the priority should go. And so it was really a question of, you were free as a researcher to work on whatever you wanted. But if it was not aligned with OpenAI mission, and that's fair, you wouldn't get the compute allocation. As it happens, solving math was very much aligned with the direction of OpenAI. And so I was lucky to generally get the compute I needed to make good progress.Swyx [00:11:06]: What do you need to show as incremental results to get funded for further results?Stan [00:11:12]: It's an imperfect process because there's a bit of a... If you're working on math and AI, obviously there's kind of a prior that it's going to be aligned with the company. So it's much easier than to go into something much more risky, much riskier, I guess. You have to show incremental progress, I guess. It's like you ask for a certain amount of compute and you deliver a few weeks after and you demonstrate that you have a progress. Progress might be a positive result. Progress might be a strong negative result. And a strong negative result is actually often much harder to get or much more interesting than a positive result. And then it generally goes into, as any organization, you would have people finding your project or any other project cool and fancy. And so you would have that kind of phase of growing up compute allocation for it all the way to a point. And then maybe you reach an apex and then maybe you go back mostly to zero and restart the process because you're going in a different direction or something else. That's how I felt. Explore, exploit. Yeah, exactly. Exactly. Exactly. It's a reinforcement learning approach.Swyx [00:12:14]: Classic PhD student search process.Alessio [00:12:17]: And you were reporting to Ilya, like the results you were kind of bringing back to him or like what's the structure? It's almost like when you're doing such cutting edge research, you need to report to somebody who is actually really smart to understand that the direction is right.Stan [00:12:29]: So we had a reasoning team, which was working on reasoning, obviously, and so math in general. And that team had a manager, but Ilya was extremely involved in the team as an advisor, I guess. Since he brought me in OpenAI, I was lucky to mostly during the first years to have kind of a direct access to him. He would really coach me as a trainee researcher, I guess, with good engineering skills. And Ilya, I think at OpenAI, he was the one showing the North Star, right? He was his job and I think he really enjoyed it and he did it super well, was going through the teams and saying, this is where we should be going and trying to, you know, flock the different teams together towards an objective.Swyx [00:13:12]: I would say like the public perception of him is that he was the strongest believer in scaling. Oh, yeah. Obviously, he has always pursued the compression thesis. You have worked with him personally, what does the public not know about how he works?Stan [00:13:26]: I think he's really focused on building the vision and communicating the vision within the company, which was extremely useful. I was personally surprised that he spent so much time, you know, working on communicating that vision and getting the teams to work together versus...Swyx [00:13:40]: To be specific, vision is AGI? Oh, yeah.Stan [00:13:42]: Vision is like, yeah, it's the belief in compression and scanning computes. I remember when I started working on the Reasoning team, the excitement was really about scaling the compute around Reasoning and that was really the belief we wanted to ingrain in the team. And that's what has been useful to the team and with the DeepMind results shows that it was the right approach with the success of GPT-4 and stuff shows that it was the right approach.Swyx [00:14:06]: Was it according to the neural scaling laws, the Kaplan paper that was published?Stan [00:14:12]: I think it was before that, because those ones came with GPT-3, basically at the time of GPT-3 being released or being ready internally. But before that, there really was a strong belief in scale. I think it was just the belief that the transformer was a generic enough architecture that you could learn anything. And that was just a question of scaling.Alessio [00:14:33]: Any other fun stories you want to tell? Sam Altman, Greg, you know, anything.Stan [00:14:37]: Weirdly, I didn't work that much with Greg when I was at OpenAI. He had always been mostly focused on training the GPTs and rightfully so. One thing about Sam Altman, he really impressed me because when I joined, he had joined not that long ago and it felt like he was kind of a very high level CEO. And I was mind blown by how deep he was able to go into the subjects within a year or something, all the way to a situation where when I was having lunch by year two, I was at OpenAI with him. He would just quite know deeply what I was doing. With no ML background. Yeah, with no ML background, but I didn't have any either, so I guess that explains why. But I think it's a question about, you don't necessarily need to understand the very technicalities of how things are done, but you need to understand what's the goal and what's being done and what are the recent results and all of that in you. And we could have kind of a very productive discussion. And that really impressed me, given the size at the time of OpenAI, which was not negligible.Swyx [00:15:44]: Yeah. I mean, you've been a, you were a founder before, you're a founder now, and you've seen Sam as a founder. How has he affected you as a founder?Stan [00:15:51]: I think having that capability of changing the scale of your attention in the company, because most of the time you operate at a very high level, but being able to go deep down and being in the known of what's happening on the ground is something that I feel is really enlightening. That's not a place in which I ever was as a founder, because first company, we went all the way to 10 people. Current company, there's 25 of us. So the high level, the sky and the ground are pretty much at the same place. No, you're being too humble.Swyx [00:16:21]: I mean, Stripe was also like a huge rocket ship.Stan [00:16:23]: Stripe, I was a founder. So I was, like at OpenAI, I was really happy being on the ground, pushing the machine, making it work. Yeah.Swyx [00:16:31]: Last OpenAI question. The Anthropic split you mentioned, you were around for that. Very dramatic. David also left around that time, you left. This year, we've also had a similar management shakeup, let's just call it. Can you compare what it was like going through that split during that time? And then like, does that have any similarities now? Like, are we going to see a new Anthropic emerge from these folks that just left?Stan [00:16:54]: That I really, really don't know. At the time, the split was pretty surprising because they had been trying GPT-3, it was a success. And to be completely transparent, I wasn't in the weeds of the splits. What I understood of it is that there was a disagreement of the commercialization of that technology. I think the focal point of that disagreement was the fact that we started working on the API and wanted to make those models available through an API. Is that really the core disagreement? I don't know.Swyx [00:17:25]: Was it safety?Stan [00:17:26]: Was it commercialization?Swyx [00:17:27]: Or did they just want to start a company?Stan [00:17:28]: Exactly. Exactly. That I don't know. But I think what I was surprised of is how quickly OpenAI recovered at the time. And I think it's just because we were mostly a research org and the mission was so clear that some divergence in some teams, some people leave, the mission is still there. We have the compute. We have a site. So it just keeps going.Swyx [00:17:50]: Very deep bench. Like just a lot of talent. Yeah.Alessio [00:17:53]: So that was the OpenAI part of the history. Exactly. So then you leave OpenAI in September 2022. And I would say in Silicon Valley, the two hottest companies at the time were you and Lanktrain. What was that start like and why did you decide to start with a more developer focused kind of like an AI engineer tool rather than going back into some more research and something else?Stan [00:18:15]: Yeah. First, I'm not a trained researcher. So going through OpenAI was really kind of the PhD I always wanted to do. But research is hard. You're digging into a field all day long for weeks and weeks and weeks, and you find something, you get super excited for 12 seconds. And at the 13 seconds, you're like, oh, yeah, that was obvious. And you go back to digging. I'm not a trained, like formally trained researcher, and it wasn't kind of a necessarily an ambition of me of creating, of having a research career. And I felt the hardness of it. I enjoyed a lot of like that a ton. But at the time, I decided that I wanted to go back to something more productive. And the other fun motivation was like, I mean, if we believe in AGI and if we believe the timelines might not be too long, it's actually the last train leaving the station to start a company. After that, it's going to be computers all the way down. And so that was kind of the true motivation for like trying to go there. So that's kind of the core motivation at the beginning of personally. And the motivation for starting a company was pretty simple. I had seen GPT-4 internally at the time, it was September 2022. So it was pre-GPT, but GPT-4 was ready since, I mean, I'd been ready for a few months internally. I was like, okay, that's obvious, the capabilities are there to create an insane amount of value to the world. And yet the deployment is not there yet. The revenue of OpenAI at the time were ridiculously small compared to what it is today. So the thesis was, there's probably a lot to be done at the product level to unlock the usage.Alessio [00:19:49]: Yeah. Let's talk a bit more about the form factor, maybe. I think one of the first successes you had was kind of like the WebGPT-like thing, like using the models to traverse the web and like summarize things. And the browser was really the interface. Why did you start with the browser? Like what was it important? And then you built XP1, which was kind of like the browser extension.Stan [00:20:09]: So the starting point at the time was, if you wanted to talk about LLMs, it was still a rather small community, a community of mostly researchers and to some extent, very early adopters, very early engineers. It was almost inconceivable to just build a product and go sell it to the enterprise, though at the time there was a few companies doing that. The one on marketing, I don't remember its name, Jasper. But so the natural first intention, the first, first, first intention was to go to the developers and try to create tooling for them to create product on top of those models. And so that's what Dust was originally. It was quite different than Lanchain, and Lanchain just beat the s**t out of us, which is great. It's a choice.Swyx [00:20:53]: You were cloud, in closed source. They were open source.Stan [00:20:56]: Yeah. So technically we were open source and we still are open source, but I think that doesn't really matter. I had the strong belief from my research time that you cannot create an LLM-based workflow on just one example. Basically, if you just have one example, you overfit. So as you develop your interaction, your orchestration around the LLM, you need a dozen examples. Obviously, if you're running a dozen examples on a multi-step workflow, you start paralyzing stuff. And if you do that in the console, you just have like a messy stream of tokens going out and it's very hard to observe what's going there. And so the idea was to go with an UI so that you could kind of introspect easily the output of each interaction with the model and dig into there through an UI, which is-Swyx [00:21:42]: Was that open source? I actually didn't come across it.Stan [00:21:44]: Oh yeah, it wasn't. I mean, Dust is entirely open source even today. We're not going for an open source-Swyx [00:21:48]: If it matters, I didn't know that.Stan [00:21:49]: No, no, no, no, no. The reason why is because we're not open source because we're not doing an open source strategy. It's not an open source go-to-market at all. We're open source because we can and it's fun.Swyx [00:21:59]: Open source is marketing. You have all the downsides of open source, which is like people can clone you.Stan [00:22:03]: But I think that downside is a big fallacy. Okay. Yes, anybody can clone Dust today, but the value of Dust is not the current state. The value of Dust is the number of eyeballs and hands of developers that are creating to it in the future. And so yes, anybody can clone it today, but that wouldn't change anything. There is some value in being open source. In a discussion with the security team, you can be extremely transparent and just show the code. When you have discussion with users and there's a bug or a feature missing, you can just point to the issue, show the pull request, show the, show the, exactly, oh, PR welcome. That doesn't happen that much, but you can show the progress if the person that you're chatting with is a little bit technical, they really enjoy seeing the pull request advancing and seeing all the way to deploy. And then the downsides are mostly around security. You never want to do security by obfuscation. But the truth is that your vector of attack is facilitated by you being open source. But at the same time, it's a good thing because if you're doing anything like a bug bountying or stuff like that, you just give much more tools to the bug bountiers so that their output is much better. So there's many, many, many trade-offs. I don't believe in the value of the code base per se. I think it's really the people that are on the code base that have the value and go to market and the product and all of those things that are around the code base. Obviously, that's not true for every code base. If you're working on a very secret kernel to accelerate the inference of LLMs, I would buy that you don't want to be open source. But for product stuff, I really think there's very little risk. Yeah.Alessio [00:23:39]: I signed up for XP1, I was looking, January 2023. I think at the time you were on DaVinci 003. Given that you had seen GPD 4, how did you feel having to push a product out that was using this model that was so inferior? And you're like, please, just use it today. I promise it's going to get better. Just overall, as a founder, how do you build something that maybe doesn't quite work with the model today, but you're just expecting the new model to be better?Stan [00:24:03]: Yeah, so actually, XP1 was even on a smaller one that was the post-GDPT release, small version, so it was... Ada, Babbage... No, no, no, not that far away. But it was the small version of GDPT, basically. I don't remember its name. Yes, you have a frustration there. But at the same time, I think XP1 was designed, was an experiment, but was designed as a way to be useful at the current capability of the model. If you just want to extract data from a LinkedIn page, that model was just fine. If you want to summarize an article on a newspaper, that model was just fine. And so it was really a question of trying to find a product that works with the current capability, knowing that you will always have tailwinds as models get better and faster and cheaper. So that was kind of a... There's a bit of a frustration because you know what's out there and you know that you don't have access to it yet. It's also interesting to try to find a product that works with the current capability.Alessio [00:24:55]: And we highlighted XP1 in our anatomy of autonomy post in April of last year, which was, you know, where are all the agents, right? So now we spent 30 minutes getting to what you're building now. So you basically had a developer framework, then you had a browser extension, then you had all these things, and then you kind of got to where Dust is today. So maybe just give people an overview of what Dust is today and the courtesies behind it. Yeah, of course.Stan [00:25:20]: So Dust, we really want to build the infrastructure so that companies can deploy agents within their teams. We are horizontal by nature because we strongly believe in the emergence of use cases from the people having access to creating an agent that don't need to be developers. They have to be thinkers. They have to be curious. But anybody can create an agent that will solve an operational thing that they're doing in their day-to-day job. And to make those agents useful, there's two focus, which is interesting. The first one is an infrastructure focus. You have to build the pipes so that the agent has access to the data. You have to build the pipes such that the agents can take action, can access the web, et cetera. So that's really an infrastructure play. Maintaining connections to Notion, Slack, GitHub, all of them is a lot of work. It is boring work, boring infrastructure work, but that's something that we know is extremely valuable in the same way that Stripe is extremely valuable because it maintains the pipes. And we have that dual focus because we're also building the product for people to use it. And there it's fascinating because everything started from the conversational interface, obviously, which is a great starting point. But we're only scratching the surface, right? I think we are at the pong level of LLM productization. And we haven't invented the C3. We haven't invented Counter-Strike. We haven't invented Cyberpunk 2077. So this is really our mission is to really create the product that lets people equip themselves to just get away all the work that can be automated or assisted by LLMs.Alessio [00:26:57]: And can you just comment on different takes that people had? So maybe the most open is like auto-GPT. It's just kind of like just trying to do anything. It's like it's all magic. There's no way for you to do anything. Then you had the ADAPT, you know, we had David on the podcast. They're very like super hands-on with each individual customer to build super tailored. How do you decide where to draw the line between this is magic? This is exposed to you, especially in a market where most people don't know how to build with AI at all. So if you expect them to do the thing, they're probably not going to do it. Yeah, exactly.Stan [00:27:29]: So the auto-GPT approach obviously is extremely exciting, but we know that the agentic capability of models are not quite there yet. It just gets lost. So we're starting, we're starting where it works. Same with the XP one. And where it works is pretty simple. It's like simple workflows that involve a couple tools where you don't even need to have the model decide which tools it's used in the sense of you just want people to put it in the instructions. It's like take that page, do that search, pick up that document, do the work that I want in the format I want, and give me the results. There's no smartness there, right? In terms of orchestrating the tools, it's mostly using English for people to program a workflow where you don't have the constraint of having compatible API between the two.Swyx [00:28:17]: That kind of personal automation, would you say it's kind of like an LLM Zapier type ofStan [00:28:22]: thing?Swyx [00:28:22]: Like if this, then that, and then, you know, do this, then this. You're programming with English?Stan [00:28:28]: So you're programming with English. So you're just saying, oh, do this and then that. You can even create some form of APIs. You say, when I give you the command X, do this. When I give you the command Y, do this. And you describe the workflow. But you don't have to create boxes and create the workflow explicitly. It just needs to describe what are the tasks supposed to be and make the tool available to the agent. The tool can be a semantic search. The tool can be querying into a structured database. The tool can be searching on the web. And obviously, the interesting tools that we're only starting to scratch are actually creating external actions like reimbursing something on Stripe, sending an email, clicking on a button in the admin or something like that.Swyx [00:29:11]: Do you maintain all these integrations?Stan [00:29:13]: Today, we maintain most of the integrations. We do always have an escape hatch for people to kind of custom integrate. But the reality is that the reality of the market today is that people just want it to work, right? And so it's mostly us maintaining the integration. As an example, a very good source of information that is tricky to productize is Salesforce. Because Salesforce is basically a database and a UI. And they do the f**k they want with it. And so every company has different models and stuff like that. So right now, we don't support it natively. And the type of support or real native support will be slightly more complex than just osing into it, like is the case with Slack as an example. Because it's probably going to be, oh, you want to connect your Salesforce to us? Give us the SQL. That's the Salesforce QL language. Give us the queries you want us to run on it and inject in the context of dust. So that's interesting how not only integrations are cool, and some of them require a bit of work on the user. And for some of them that are really valuable to our users, but we don't support yet, they can just build them internally and push the data to us.Swyx [00:30:18]: I think I understand the Salesforce thing. But let me just clarify, are you using browser automation because there's no API for something?Stan [00:30:24]: No, no, no, no. In that case, so we do have browser automation for all the use cases and apply the public web. But for most of the integration with the internal system of the company, it really runs through API.Swyx [00:30:35]: Haven't you felt the pull to RPA, browser automation, that kind of stuff?Stan [00:30:39]: I mean, what I've been saying for a long time, maybe I'm wrong, is that if the future is that you're going to stand in front of a computer and looking at an agent clicking on stuff, then I'll hit my computer. And my computer is a big Lenovo. It's black. Doesn't sound good at all compared to a Mac. And if the APIs are there, we should use them. There is going to be a long tail of stuff that don't have APIs, but as the world is moving forward, that's disappearing. So the core API value in the past has really been, oh, this old 90s product doesn't have an API. So I need to use the UI to automate. I think for most of the ICP companies, the companies that ICP for us, the scale ups that are between 500 and 5,000 people, tech companies, most of the SaaS they use have APIs. Now there's an interesting question for the open web, because there are stuff that you want to do that involve websites that don't necessarily have APIs. And the current state of web integration from, which is us and OpenAI and Anthropic, I don't even know if they have web navigation, but I don't think so. The current state of affair is really, really broken because you have what? You have basically search and headless browsing. But headless browsing, I think everybody's doing basically body.innertext and fill that into the model, right?Swyx [00:31:56]: MARK MIRCHANDANI There's parsers into Markdown and stuff.Stan [00:31:58]: FRANCESC CAMPOY I'm super excited by the companies that are exploring the capability of rendering a web page into a way that is compatible for a model, being able to maintain the selector. So that's basically the place where to click in the page through that process, expose the actions to the model, have the model select an action in a way that is compatible with model, which is not a big page of a full DOM that is very noisy, and then being able to decompress that back to the original page and take the action. And that's something that is really exciting and that will kind of change the level of things that agents can do on the web. That I feel exciting, but I also feel that the bulk of the useful stuff that you can do within the company can be done through API. The data can be retrieved by API. The actions can be taken through API.Swyx [00:32:44]: For listeners, I'll note that you're basically completely disagreeing with David Wan. FRANCESC CAMPOY Exactly, exactly. I've seen it since it's summer. ADEPT is where it is, and Dust is where it is. So Dust is still standing.Alessio [00:32:55]: Can we just quickly comment on function calling? You mentioned you don't need the models to be that smart to actually pick the tools. Have you seen the models not be good enough? Or is it just like, you just don't want to put the complexity in there? Like, is there any room for improvement left in function calling? Or do you feel you usually consistently get always the right response, the right parametersStan [00:33:13]: and all of that?Alessio [00:33:13]: FRANCESC CAMPOY So that's a tricky product question.Stan [00:33:15]: Because if the instructions are good and precise, then you don't have any issue, because it's scripted for you. And the model will just look at the scripts and just follow and say, oh, he's probably talking about that action, and I'm going to use it. And the parameters are kind of abused from the state of the conversation. I'll just go with it. If you provide a very high level, kind of an auto-GPT-esque level in the instructions and provide 16 different tools to your model, yes, we're seeing the models in that state making mistakes. And there is obviously some progress can be made on the capabilities. But the interesting part is that there is already so much work that can assist, augment, accelerate by just going with pretty simply scripted for actions agents. What I'm excited about by pushing our users to create rather simple agents is that once you have those working really well, you can create meta agents that use the agents as actions. And all of a sudden, you can kind of have a hierarchy of responsibility that will probably get you almost to the point of the auto-GPT value. It requires the construction of intermediary artifacts, but you're probably going to be able to achieve something great. I'll give you some example. We have our incidents are shared in Slack in a specific channel, or shipped are shared in Slack. We have a weekly meeting where we have a table about incidents and shipped stuff. We're not writing that weekly meeting table anymore. We have an assistant that just go find the right data on Slack and create the table for us. And that assistant works perfectly. It's trivially simple, right? Take one week of data from that channel and just create the table. And then we have in that weekly meeting, obviously some graphs and reporting about our financials and our progress and our ARR. And we've created assistants to generate those graphs directly. And those assistants works great. By creating those assistants that cover those small parts of that weekly meeting, slowly we're getting to in a world where we'll have a weekly meeting assistance. We'll just call it. You don't need to prompt it. You don't need to say anything. It's going to run those different assistants and get that notion page just ready. And by doing that, if you get there, and that's an objective for us to us using Dust, get there, you're saving an hour of company time every time you run it. Yeah.Alessio [00:35:28]: That's my pet topic of NPM for agents. How do you build dependency graphs of agents? And how do you share them? Because why do I have to rebuild some of the smaller levels of what you built already?Swyx [00:35:40]: I have a quick follow-up question on agents managing other agents. It's a topic of a lot of research, both from Microsoft and even in startups. What you've discovered best practice for, let's say like a manager agent controlling a bunch of small agents. It's two-way communication. I don't know if there should be a protocol format.Stan [00:35:59]: To be completely honest, the state we are at right now is creating the simple agents. So we haven't even explored yet the meta agents. We know it's there. We know it's going to be valuable. We know it's going to be awesome. But we're starting there because it's the simplest place to start. And it's also what the market understands. If you go to a company, random SaaS B2B company, not necessarily specialized in AI, and you take an operational team and you tell them, build some tooling for yourself, they'll understand the small agents. If you tell them, build AutoGP, they'll be like, Auto what?Swyx [00:36:31]: And I noticed that in your language, you're very much focused on non-technical users. You don't really mention API here. You mention instruction instead of system prompt, right? That's very conscious.Stan [00:36:41]: Yeah, it's very conscious. It's a mark of our designer, Ed, who kind of pushed us to create a friendly product. I was knee-deep into AI when I started, obviously. And my co-founder, Gabriel, was a Stripe as well. We started a company together that got acquired by Stripe 15 years ago. It was at Alain, a healthcare company in Paris. After that, it was a little bit less so knee-deep in AI, but really focused on product. And I didn't realize how important it is to make that technology not scary to end users. It didn't feel scary to me, but it was really seen by Ed, our designer, that it was feeling scary to the users. And so we were very proactive and very deliberate about creating a brand that feels not too scary and creating a wording and a language, as you say, that really tried to communicate the fact that it's going to be fine. It's going to be easy. You're going to make it.Alessio [00:37:34]: And another big point that David had about ADAPT is we need to build an environment for the agents to act. And then if you have the environment, you can simulate what they do. How's that different when you're interacting with APIs and you're kind of touching systems that you cannot really simulate? If you call it the Salesforce API, you're just calling it.Stan [00:37:52]: So I think that goes back to the DNA of the companies that are very different. ADAPT, I think, was a product company with a very strong research DNA, and they were still doing research. One of their goals was building a model. And that's why they raised a large amount of money, et cetera. We are 100% deliberately a product company. We don't do research. We don't train models. We don't even run GPUs. We're using the models that exist, and we try to push the product boundary as far as possible with the existing models. So that creates an issue. Indeed, so to answer your question, when you're interacting in the real world, well, you cannot simulate, so you cannot improve the models. Even improving your instructions is complicated for a builder. The hope is that you can use models to evaluate the conversations so that you can get at least feedback and you could get contradictive information about the performance of the assistance. But if you take actual trace of interaction of humans with those agents, it is even for us humans extremely hard to decide whether it was a productive interaction or a really bad interaction. You don't know why the person left. You don't know if they left happy or not. So being extremely, extremely, extremely pragmatic here, it becomes a product issue. We have to build a product that identifies the end users to provide feedback so that as a first step, the person that is building the agent can iterate on it. As a second step, maybe later when we start training model and post-training, et cetera, we can optimize around that for each of those companies. Yeah.Alessio [00:39:17]: Do you see in the future products offering kind of like a simulation environment, the same way all SaaS now kind of offers APIs to build programmatically? Like in cybersecurity, there are a lot of companies working on building simulative environments so that then you can use agents like Red Team, but I haven't really seen that.Stan [00:39:34]: Yeah, no, me neither. That's a super interesting question. I think it's really going to depend on how much, because you need to simulate to generate data, you need to train data to train models. And the question at the end is, are we going to be training models or are we just going to be using frontier models as they are? On that question, I don't have a strong opinion. It might be the case that we'll be training models because in all of those AI first products, the model is so close to the product surface that as you get big and you want to really own your product, you're going to have to own the model as well. Owning the model doesn't mean doing the pre-training, that would be crazy. But at least having an internal post-training realignment loop, it makes a lot of sense. And so if we see many companies going towards that all the time, then there might be incentives for the SaaS's of the world to provide assistance in getting there. But at the same time, there's a tension because those SaaS, they don't want to be interacted by agents, they want the human to click on the button. Yeah, they got to sell seats. Exactly.Swyx [00:40:41]: Just a quick question on models. I'm sure you've used many, probably not just OpenAI. Would you characterize some models as better than others? Do you use any open source models? What have been the trends in models over the last two years?Stan [00:40:53]: We've seen over the past two years kind of a bit of a race in between models. And at times, it's the OpenAI model that is the best. At times, it's the Anthropic models that is the best. Our take on that is that we are agnostic and we let our users pick their model. Oh, they choose? Yeah, so when you create an assistant or an agent, you can just say, oh, I'm going to run it on GP4, GP4 Turbo, or...Swyx [00:41:16]: Don't you think for the non-technical user, that is actually an abstraction that you should take away from them?Stan [00:41:20]: We have a sane default. So we move the default to the latest model that is cool. And we have a sane default, and it's actually not very visible. In our flow to create an agent, you would have to go in advance and go pick your model. So this is something that the technical person will care about. But that's something that obviously is a bit too complicated for the...Swyx [00:41:40]: And do you care most about function calling or instruction following or something else?Stan [00:41:44]: I think we care most for function calling because you want to... There's nothing worse than a function call, including incorrect parameters or being a bit off because it just drives the whole interaction off.Swyx [00:41:56]: Yeah, so got the Berkeley function calling.Stan [00:42:00]: These days, it's funny how the comparison between GP4O and GP4 Turbo is still up in the air on function calling. I personally don't have proof, but I know many people, and I'm probably part of them, to think that GP4 Turbo is still better than GP4O on function calling. Wow. We'll see what comes out of the O1 class if it ever gets function calling. And Cloud 3.5 Summit is great as well. They kind of innovated in an interesting way, which was never quite publicized. But it's that they have that kind of chain of thought step whenever you use a Cloud model or Summit model with function calling. That chain of thought step doesn't exist when you just interact with it just for answering questions. But when you use function calling, you get that step, and it really helps getting better function calling.Swyx [00:42:43]: Yeah, we actually just recorded a podcast with the Berkeley team that runs that leaderboard this week. So they just released V3.Stan [00:42:49]: Yeah.Swyx [00:42:49]: It was V1 like two months ago, and then they V2, V3. Turbo is on top.Stan [00:42:53]: Turbo is on top. Turbo is over 4.0.Swyx [00:42:54]: And then the third place is XLAM from Salesforce, which is a large action model they've been trying to popularize.Stan [00:43:01]: Yep.Swyx [00:43:01]: O1 Mini is actually on here, I think. O1 Mini is number 11.Stan [00:43:05]: But arguably, O1 Mini has been in a line for that. Yeah.Alessio [00:43:09]: Do you use leaderboards? Do you have your own evals? I mean, this is kind of intuitive, right? Like using the older model is better. I think most people just upgrade. Yeah. What's the eval process like?Stan [00:43:19]: It's funny because I've been doing research for three years, and we have bigger stuff to cook. When you're deploying in a company, one thing where we really spike is that when we manage to activate the company, we have a crazy penetration. The highest penetration we have is 88% daily active users within the entire employee of the company. The kind of average penetration and activation we have in our current enterprise customers is something like more like 60% to 70% weekly active. So we basically have the entire company interacting with us. And when you're there, there is so many stuff that matters most than getting evals, getting the best model. Because there is so many places where you can create products or do stuff that will give you the 80% with the work you do. Whereas deciding if it's GPT-4 or GPT-4 Turbo or et cetera, you know, it'll just give you the 5% improvement. But the reality is that you want to focus on the places where you can really change the direction or change the interaction more drastically. But that's something that we'll have to do eventually because we still want to be serious people.Swyx [00:44:24]: It's funny because in some ways, the model labs are competing for you, right? You don't have to do any effort. You just switch model and then it'll grow. What are you really limited by? Is it additional sources?Stan [00:44:36]: It's not models, right?Swyx [00:44:37]: You're not really limited by quality of model.Stan [00:44:40]: Right now, we are limited by the infrastructure part, which is the ability to connect easily for users to all the data they need to do the job they want to do.Swyx [00:44:51]: Because you maintain all your own stuff.Stan [00:44:53]: You know, there are companies out thereSwyx [00:44:54]: that are starting to provide integrations as a service, right? I used to work in an integrations company. Yeah, I know.Stan [00:44:59]: It's just that there is some intricacies about how you chunk stuff and how you process information from one platform to the other. If you look at the end of the spectrum, you could think of, you could say, oh, I'm going to support AirByte and AirByte has- I used to work at AirByte.Swyx [00:45:12]: Oh, really?Stan [00:45:13]: That makes sense.Swyx [00:45:14]: They're the French founders as well.Stan [00:45:15]: I know Jean very well. I'm seeing him today. And the reality is that if you look at Notion, AirByte does the job of taking Notion and putting it in a structured way. But that's the way it is not really usable to actually make it available to models in a useful way. Because you get all the blocks, details, et cetera, which is useful for many use cases.Swyx [00:45:35]: It's also for data scientists and not for AI.Stan [00:45:38]: The reality of Notion is that sometimes you have a- so when you have a page, there's a lot of structure in it and you want to capture the structure and chunk the information in a way that respects that structure. In Notion, you have databases. Sometimes those databases are real tabular data. Sometimes those databases are full of text. You want to get the distinction and understand that this database should be considered like text information, whereas this other one is actually quantitative information. And to really get a very high quality interaction with that piece of information, I haven't found a solution that will work without us owning the connection end-to-end.Swyx [00:46:15]: That's why I don't invest in, there's Composio, there's All Hands from Graham Newbig. There's all these other companies that are like, we will do the integrations for you. You just, we have the open source community. We'll do off the shelf. But then you are so specific in your needs that you want to own it.Swyx [00:46:28]: Yeah, exactly.Stan [00:46:29]: You can talk to Michel about that.Swyx [00:46:30]: You know, he wants to put the AI in there, but you know. Yeah, I will. I will.Stan [00:46:35]: Cool. What are we missing?Alessio [00:46:36]: You know, what are like the things that are like sneakily hard that you're tackling that maybe people don't even realize they're like really hard?Stan [00:46:43]: The real parts as we kind of touch base throughout the conversation is really building the infra that works for those agents because it's a tenuous walk. It's an evergreen piece of work because you always have an extra integration that will be useful to a non-negligible set of your users. I'm super excited about is that there's so many interactions that shouldn't be conversational interactions and that could be very useful. Basically, know that we have the firehose of information of those companies and there's not going to be that many companies that capture the firehose of information. When you have the firehose of information, you can do a ton of stuff with models that are just not accelerating people, but giving them superhuman capability, even with the current model capability because you can just sift through much more information. An example is documentation repair. If I have the firehose of Slack messages and new Notion pages, if somebody says, I own that page, I want to be updated when there is a piece of information that should update that page, this is not possible. You get an email saying, oh, look at that Slack message. It says the opposite of what you have in that paragraph. Maybe you want to update or just ping that person. I think there is a lot to be explored on the product layer in terms of what it means to interact productively with those models. And that's a problem that's extremely hard and extremely exciting.Swyx [00:48:00]: One thing you keep mentioning about infra work, obviously, Dust is building that infra and serving that in a very consumer-friendly way. You always talk about infra being additional sources, additional connectors. That is very important. But I'm also interested in the vertical infra. There is an orchestrator underlying all these things where you're doing asynchronous work. For example, the simplest one is a cron job. You just schedule things. But also, for if this and that, you have to wait for something to be executed and proceed to the next task. I used to work on an orchestrator as well, Temporal.Stan [00:48:31]: We used Temporal. Oh, you used Temporal? Yeah. Oh, how was the experience?Swyx [00:48:34]: I need the NPS.Stan [00:48:36]: We're doing a self-discovery call now.Swyx [00:48:39]: But you can also complain to me because I don't work there anymore.Stan [00:48:42]: No, we love Temporal. There's some edges that are a bit rough, surprisingly rough. And you would say, why is it so complicated?Swyx [00:48:49]: It's always versioning.Stan [00:48:50]: Yeah, stuff like that. But we really love it. And we use it for exactly what you said, like managing the entire set of stuff that needs to happen so that in semi-real time, we get all the updates from Slack or Notion or GitHub into the system. And whenever we see that piece of information goes through, maybe trigger workflows to run agents because they need to provide alerts to users and stuff like that. And Temporal is great. Love it.Swyx [00:49:17]: You haven't evaluated others. You don't want to build your own. You're happy with...Stan [00:49:21]: Oh, no, we're not in the business of replacing Temporal. And Temporal is so... I mean, it is or any other competitive product. They're very general. If it's there, there's an interesting theory about buy versus build. I think in that case, when you're a high-growth company, your buy-build trade-off is very much on the side of buy. Because if you have the capability, you're just going to be saving time, you can focus on your core competency, etc. And it's funny because we're seeing, we're starting to see the post-high-growth company, post-SKF company, going back on that trade-off, interestingly. So that's the cloud news about removing Zendesk and Salesforce. Do you believe that, by the way?Alessio [00:49:56]: Yeah, I did a podcast with them.Stan [00:49:58]: Oh, yeah?Alessio [00:49:58]: It's true.Swyx [00:49:59]: No, no, I know.Stan [00:50:00]: Of course they say it's true,Swyx [00:50:00]: but also how well is it going to go?Stan [00:50:02]: So I'm not talking about deflecting the customer traffic. I'm talking about building AI on top of Salesforce and Zendesk, basically, if I understand correctly. And all of a sudden, your product surface becomes much smaller because you're interacting with an AI system that will take some actions. And so all of a sudden, you don't need the product layer anymore. And you realize that, oh, those things are just databases that I pay a hundred times the price, right? Because you're a post-SKF company and you have tech capabilities, you are incentivized to reduce your costs and you have the capability to do so. And then it makes sense to just scratch the SaaS away. So it's interesting that we might see kind of a bad time for SaaS in post-hyper-growth tech companies. So it's still a big market, but it's not that big because if you're not a tech company, you don't have the capabilities to reduce that cost. If you're a high-growth company, always going to be buying because you go faster with that. But that's an interesting new space, new category of companies that might remove some SaaS. Yeah, Alessio's firmSwyx [00:51:02]: has an interesting thesis on the future of SaaS in AI.Alessio [00:51:05]: Service as a software, we call it. It's basically like, well, the most extreme is like, why is there any software at all? You know, ideally, it's all a labor interface where you're asking somebody to do something for you, whether that's a person, an AI agent or whatnot.Stan [00:51:17]: Yeah, yeah, that's interesting. I have to ask.Swyx [00:51:19]: Are you paying for Temporal Cloud or are you self-hosting?Stan [00:51:22]: Oh, no, no, we're paying, we're paying. Oh, okay, interesting.Swyx [00:51:24]: We're paying way too much.Stan [00:51:26]: It's crazy expensive, but it makes us-Swyx [00:51:28]: That's why as a shareholder, I like to hear that. It makes us go faster,Stan [00:51:31]: so we're happy to pay.Swyx [00:51:33]: Other things in the infrastack, I just want a list for other founders to think about. Ops, API gateway, evals, you know, anything interesting there that you build or buy?Stan [00:51:41]: I mean, there's always an interesting question. We've been building a lot around the interface between models and because Dust, the original version, was an orchestration platform and we basically provide a unified interface to every model providers.Swyx [00:51:56]: That's what I call gateway.Stan [00:51:57]: That we add because Dust was that and so we continued building upon and we own it. But that's an interesting question was in you, you want to build that or buy it?Swyx [00:52:06]: Yeah, I always say light LLM is the current open source consensus.Stan [00:52:09]: Exactly, yeah. There's an interesting question there.Swyx [00:52:12]: Ops, Datadog, just tracking.Stan [00:52:14]: Oh yeah, so Datadog is an obvious... What are the mistakes that I regret? I started as pure JavaScript, not TypeScript, and I think you want to, if you're wondering, oh, I want to go fast, I'll do a little bit of JavaScript. No, don't, just start with TypeScript. I see, okay.Swyx [00:52:30]: So interesting, you are a research engineer that came out of OpenAI that bet on TypeScript.Stan [00:52:36]: Well, the reality is that if you're building a product, you're going to be doing a lot of JavaScript, right? And Next, we're using Next as an example. It's

Stamford Chidge & Jonathan Kydd are joined by Dan Silver to look back at a disappointing but encouraging defeat away to Liverpool and ahead to Thursday's match against Panathinaikos. Hosted on Acast. See acast.com/privacy for more information.

Phil, Jim, Pete, Dan Silver and David Hautzig fail to mask slight sense of unease. westhampodcast.com  @westhampodcast  Produced by Paul Myers and Mike Leigh  A Playback Media Production  playbackmedia.co.uk  Copyright 2024 Playback Media Ltd - playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Stamford Chidge & Jonathan Kydd are joined by Dan Silver to look back at a satisfying win against the unhappy Hammers. Hosted on Acast. See acast.com/privacy for more information.

Isaiah and the returning Dan Silver are joined by Jason Myrtetus - from the Flyers Broadcasts and the Flyers Daily and Stick2Hockey podcasts - to preview the team's rookie camp with the arrival of heralded newcomer, Matvei Michkov. We delve into the expectations for Michkov and fellow rookies, Oliver Bonk, Denver Barkey and this year's first round selection, Jett Luchanko, leading up to the weekend rookie games. We also speculate which players could get an in-season look with the big club, vets on the hot seat, the latest on the Flyers stalemate with goaltender Alexei Kolosov and more!

Did we keep the receipt?” ask Phil, Jim, Pete, Dan Silver and Mark Gower. Also, City (5 mins, mainly about Kudus overhead), squad strengthening and Moyesie's legacy. westhampodcast.com  @westhampodcast  Produced by Paul Myers and Mike Leigh  A Playback Media Production  playbackmedia.co.uk  Copyright 2024 Playback Media Ltd - playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Phil, Jim, Pete and Dan Silver say au revoir to Europe, ola to potential new managers and look for positives in three defeats and a draw. westhampodcast.com  @westhampodcast  Produced by Paul Myers and Mike Leigh  A Playback Media Production  playbackmedia.co.uk  Copyright 2024 Playback Media Ltd - playbackmedia.co.uk/copyright Learn more about your ad choices. Visit podcastchoices.com/adchoices

Stamford Chidge, Jonathan Kydd and Dan Silver look back at a frustrating FA Cup final against Man City and ahead to Tuesday night's match against Arsenal.In part one we reflect on a disappointing and frustrating FA Cup semi-final against Man City. City were leggy and there for the taking - we were the better side for much of the game, but we couldn't finish a shit. Poch's tactics were good - we took it to them, went long and wide and were good in the transition. It was a good performance. Jackson's poor finishing and Oliver not giving the penalty for Grealish's hand ball meant it was all very frustrating. We were the better side in a final again, poor decisions going against us cost us again; poor finishing let us down again; massive, missed opportunity again. When will we next get an opportunity?In part two we preview Arsenal v Chelsea on Tuesdaynight kicking off with JK's Presser summary and Chidge's team selection - how will we cope without Palmer and Gusto? Arsenal will be bang up for it but is their form failing? How good will it be to ruin their party? Will we be up for it or on the beach? How will it go? We give you our predictions. To get the best discount off your NordVPN plan go to https://nordvpn.com/chelseafancast. There's no risk with Nord's 30 day money-back guarantee and you'll help support the Chelsea FanCast! Hosted on Acast. See acast.com/privacy for more information.

Stamford Chidge & Jonathan Kydd are joined by Dan Silver to look back at Chelsea v Burnley and ahead to Chelsea v Man Utd.In part one we look at the inept finishing and faiing to break down a team in 19th position who were playing with 10 men for 55 minutes and the indefensible - ot defending the first goal; failing to defend another set piece goal and there should have been a third winning goal. Is the conclusion that some of our players are simply not good enough and likely never will be? We also discuss Neil Barnett's point to Pochettino about the possibility that players aged between 21 and 24 might not make it at a club.We wrap up part one comparing Chelsea's current midfield to various Chelsea midfield combinations between 1991 and 2024. Is our failure to dominate midfield the root of problem?In part two we salute Cole Palmer, the exceptional exception and Malo Gusto - two Clearlake signings who are definitely good enough. Frank LeBeouf seems to be channeling his inner JK and is not happy, but where is Poch in all this - is his position now indefensible? And with no European football next season is a storm brewing? Anyway, bollocks to the football, we had a great day off the pitch on Saturday and Chelsea for us is all about the people we go with and meet throughout the day.The worse it gets on the pitch the better it seems to be off it. Roll on Thursday!To get the best discount off your NordVPN plan go to https://nordvpn.com/chelseafancast. There's no risk with Nord's 30 day money-back guarantee and you'll help support the Chelsea FanCast! Hosted on Acast. See acast.com/privacy for more information.

Dan Silver joins Nora Szentivanyi to discuss the outlook for US core inflation and implications for the Fed.  The trend for core  inflation moderated in 2023 but the CPI and PCE measures sent differing signals about how close inflation was to target late last year. We expect core CPI run rates to slow to 2.9%ar in 1H24 alongside a modest firming in core PCE inflation to a still low 2.2%ar. If our forecast is correct, year-ago core PCE inflation could dip below 2.5% as soon as the February report (released in late March) and enable the Fed to start easing in May/June. However, with tailwinds from the unwinding of supply chain shocks fading, some softening in the labor market will likely still be needed to keep inflation close to the 2% target on a sustainable basis.    Speakers Nora Szentivanyi, Global Economic and Policy Research Daniel Silver, US Economic Research   This podcast was recorded on 6 Feb 2024. This communication is provided for information purposes only. Institutional clients can view the related report at https://www.jpmm.com/research/content/GPS-4617977-0, https://www.jpmm.com/research/content/GPS-4616731-0, and https://www.jpmm.com/research/content/GPS-4609533-0 for more information; please visit www.jpmm.com/research/disclosures for important disclosures. © 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.

Stamford Chidge & Jonathan Kydd are joined by Dan Silver and Mark Meehan to look ahead to Tuesday night's Carabao Cup semi-final second leg against Middlesbrough,In part one, Mark reports back from the Chelsea Pitch Owners AGM, held on Friday and discusses what was said and where next in a very important time for the Club and CPO with a stadium redevelopment or move in the offing.In part two we welcome back Dylan Polk from Carefree Louisiana to talk about their forthcoming annual 'Bluesday' event in New Orleans, centred around the Chelsea v Wolves match, his view on this season and a view on the American ownership from the US supporter's perspective.In part three we preview the Chelsea v Middlesbrough match starting with JK's summary of today's presser and Chidge's team selection. Will Boro target Colwill again – should Chilly start? What do we do up front given we need to win by 2 goals? Will Chelsea rise to the occasion like they did v Newcastle with a Wembley final and an incredible home record v Middlesbrough to uphold? It's genuinely massive tomorrow and kicks off a big 10 days for Chelsea with Boro in the Carabao Cup; Villa in the FA Cup and Liverpool in the Premier League. Will we find our way in to another Cup final and closer to another one or dip out of both in a week like we did 30 years ago? We wrap up with how we see the match going and our predictions. And on a sad final note, mark the passing of Tommy Baldwin, one of the King's of the Kings Road team of the late 1960's and early 1970's. Tommy was well loved by Chelsea supporters, was affectionately known as 'The Sponge' and was lauded with a brilliant song. Let's hope the Pearly Gates serenade him with a fine rendition of "His name is Tommy Baldwin, he's the leader of the team...". Farewell Tommy, thanks for the memories and Rest in Peace. Hosted on Acast. See acast.com/privacy for more information.

Phil, Jim, Pete and Dan Silver dissect a raft of games, ask Divin where he sees himself in five years and bid bon voyage to a few players that haven't left yet. westhampodcast.com  @westhampodcast  Produced by Paul Myers and Mike Leigh  A Playback Media Production  playbackmedia.co.uk  Copyright 2024 Playback Media Ltd - playbackmedia.co.uk/copyright Learn more about your ad choices. Visit megaphone.fm/adchoices

Dan Silver of O&B Puckcast joins the show to set Jim straight on his Lindros/Gauthier comparison, plus we're talking Carter Hart, buying back in, Claude Giroux, Risto, and much more.

Stamford Chidge is joined by Dan Silver and Mark Meehan to look back at Chelsea's 3:2 win over Brighton.In Part one we discuss another mad game where Chelsea cruised to a 2:0 lead before easing off and getting punished and Gallagher being sent off. But instead of capitulating, Chelsea defended well in the second half, extended their lead before giving us all a nervy 10 minutes as Brighton got a second goal. Entertaining, yes, but watching Chelsea at the moment can age you!In part two we discuss an important win where the team showed character, playing for 60 minutes with 10 men. We also discuss where Chelsea are in terms of competing at the moment and is it time to move on from the years of dominance under Roman Abramovich? Hosted on Acast. See acast.com/privacy for more information.

Stamford Chidge and Jonathan Kydd are joined by Dan Silver to look back at a memorable battering of Tottenham Hotspur.In one of the maddest matches we have ever seen, Chelsea recovered from being under the kosh and 1-0 down to see Spurs lose the plot, go down to 9 men, play an inexplicable high line and get thumped 4-1. And to cap it all, Chelsea's hapless striker, Jackson, netted a hat-trick. But it was not all plain sailing, even against 9 men. VAR contrived to disallow 5 goals and none of us who were there had a scooby as to what was going on.But at the end of the day "Tottenham get battered everywhere they go" and that's all that mattered!!! Hosted on Acast. See acast.com/privacy for more information.

Nora Szentivanyi and Dan Silver discuss the main takeaways from the September CPI reports, the outlook for coming months and how we see central banks responding to the incoming data. The latest reports suggest core inflation may be stabilizing amidst significant sectoral and regional divergence. On net, we've marked higher our 4Q23 global core inflation forecast to 3.2%q/q annualized (ex China and Türkiye) from 2.8% a month ago; this implies only limited easing from the 3Q pace. In the US, the details of the September report prompted an upward revision to US core inflation which we now expect to rebound to 3.6%ar this quarter from 2.8% in 3Q. While we continue to see the Fed on hold, we think the latest CPI report reinforces the idea that the FOMC will continue to communicate a tightening bias. This podcast was recorded on October 24, 2023. This communication is provided for information purposes only. Institutional clients can view the related reports at https://www.jpmm.com/research/content/GPS-4540941-0, and  https://www.jpmm.com/research/content/GPS-4533084-0. For more information; please visit www.jpmm.com/research/disclosures for important disclosures. © 2023 JPMorgan Chase & Co. All rights reserved.

Michael Hanson, Dan Silver, and Murat Tasci discuss the health of the US consumer. Recent benchmark GDP revisions imply more excess saving while liquid asset holdings and net worth have surged since the pandemic began. These should cushion US households against recent headwinds, and support our call for a continued, if soft, expansion next year. Speakers: Michael Hanson Daniel Silver Murat Tasci This podcast was recorded on 12 October 2023. This communication is provided for information purposes only. Institutional clients can view the related report at www.jpmm.com/research/content/GPS-4528206-0 for more information; please visit www.jpmm.com/research/disclosures for important disclosures. © 2023 JPMorgan Chase & Co. All rights reserved.

Jason opens the show catching up on some of the news of the day from the racing world. Then we welcome in horseplayer Dan Silver to talk Pick 5 and Pick 6 playing, the ABC system, horseplaying, and much more! 

Phil, Pete, Dan Silver and Simon Pentol KC assess the battle of the Champions of Europe and ask, “Is J-Lingz the new Pablo Fornals?” westhampodcast.com  @westhampodcast  Produced by Paul Myers and Mike Leigh  Engineered by Leon Gorman  A Playback Media Production  playbackmedia.co.uk  Copyright 2023 Playback Media Ltd - playbackmedia.co.uk/copyright Learn more about your ad choices. Visit megaphone.fm/adchoices

Stamford Chidge & Jonathan Kydd are joined by Dan Silver to look back at an encouraging 3-0 win against Luton Town.In part one: Sterling was superb – has he turned a corner? Chelsea are making progress but there's still room for improvement. All the goals were good goals; quick transitions and attacking play; no stodge, but we went flat either side of half time. Jackson gets off the mark – massively important. Enzo shows his class; Caicedo channels his inner Kante. Conor excellent again – let's hope he doesn't get sold this week.In part two: Lukaku to Roma; thank fcuk! Squad depth: is it an issue with a bench of youngsters? Petrovic signed; will Poch get another attacker? Cucurella to Utd? Mike Dean is a **** – who knew?In part three we preview Chelsea v AFC Wimbledon in the Carabao Cup. We kick off with Chidge's Team selections and ask with 9 players out injured, is there no room for much rotation? We take a look at AFC Wimbledon: memories from past matches and reveal who played for both Chelsea and Wimbledon? We wrap up imploring Poch to take it seriously, after all it's a chance for a trophy, and finally give our predictions. Hosted on Acast. See acast.com/privacy for more information.

Phil Whelans is joined by Mark Gower, Pete Harcourt and Dan Silver for and end of season special! westhampodcast.com  @westhampodcast  Produced by Paul Myers and Mike Leigh  Engineered by Leon Gorman  A Playback Media Production  playbackmedia.co.uk  Copyright 2023 Playback Media Ltd - playbackmedia.co.uk/copyright Learn more about your ad choices. Visit megaphone.fm/adchoices

Stamford Chidge & Jonathan Kydd are joined by Dan Silver to look back at that rarest of things - a Chelsea win, against Bournemouth!In part one we discuss the benefits of getting team selection right and scoring first and early. Gallagher and Mudueke both put in good performances and Badiashile stepped up and even the subs (Sterling, Felix and Ziyech) made an impact.In part two we wonder if the injury to Chilwell might open a door for Lewis Hall and we like the away fans, we are delighted for Frank that his horrendous losing streak has come to an end.As it is now confirmed that "we are staying up" can we catch Fulham and Brentford and does it really matter in this omnishambles of a season? Hosted on Acast. See acast.com/privacy for more information.

Stamford Chidge & Jonathan Kydd are joined by Dan Silver to catch up with the Chelsea news this week and look ahead to Saturday's match against West Ham.In part one we discuss the Mason Mount crowd surfer and toxic twitter; the ESL rears its ugly head again; is Chelsea membership a con and Potter's Presser.In part two we preview the Match against West Ham on saturday. We start with Chidge's Team selection and look at West Ham who have been in relegation form but are now improving just in time for the visit of Chelsea. Will Moyes' terrible record against Chelsea be a factor? What about Chelsea's awful away form this season? Chelsea's recent clean sheets show a sign of improvement with Potter perhaps building from the back but who can score the goals? If Chelsea win will we still be in the mix for Europe? And finally we give our predictions for the match. Hosted on Acast. See acast.com/privacy for more information.

Stamford Chidge and Jonathan Kydd are joined by Dan Silver to look back at the 0-0 against Liverpool at Anfield.On the show tonight, we discuss a better performance and an ok result. Chelsea shwoing signs of life, enhanced by a lovely cameo from new signing Mudryk. And with Chelsea looking better going forward is this down to increased confidence or are Potter's ideas beginning to sink in?In part two, we praise Silva AGAIN! Especially in helping out new signing Badashiale who has impressed on his two appearances so far, But when James and Chilwell return, will Potter revert to a back three and wing backs or keep the back four?With Mount continuing to struggle we ask is it time for him to have a break and analyse the burden he has been under and reflect on the other potential reasons for his dip in form.We also show appreciation for Cesar Azlilicueta reaching the milestone of his 500th match for Chelsea, a feat never achieved by an overseas player for Chelsea and only the 6th Chelsea player of all time to achieve the landmark.And with the possibility of Chelsea's season turning around with the return of James, Chilwell, Felix, Fofana, Kante, Zakaria and the additions of Mudryk, Madueke, Fofana with more signings to come hopefully.We wrap up in part three with this week's emials from our listeners. Hosted on Acast. See acast.com/privacy for more information.