Podcasts about Requiem for a Dream

The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

En este regreso tras el parón de inicio de año, nos sumergimos en las profundidades del cine que te deja "el cuerpo cortado". Alexliam recibe de nuevo a Paco de Best, auténtico artesano de las recomendaciones extremas y habitual del Festival de Sitges, para repasar una lista de joyas ocultas y cine "malrollero". No esperes los clásicos de siempre; aquí venimos a hablar de metraje encontrado perturbador, el impacto del nuevo extremismo francés y esas películas que te hacen querer apagar la pantalla pero no puedes dejar de mirar. Dividimos el episodio en cuatro bloques temáticos: Found Footage, Abducciones, Extremismo Francés y un "Cajón de Desastre" con lo más granado del cine coreano, thrillers de venganza y horrores modernos. Listado de pelis tratadas: Bloque 1: Found Footage (Metraje Encontrado) - The Black Door (2001): https://www.imdb.com/title/tt0273448/ - The Poughkeepsie Tapes (2007): https://www.imdb.com/title/tt1010271/ - Lake Mungo (2008): https://www.imdb.com/title/tt0816356/ - Megan Is Missing (2011): https://www.imdb.com/title/tt1087466/ - Grave Encounters (2011): https://www.imdb.com/title/tt1703199/ - Afflicted (2013): https://www.imdb.com/title/tt2309691/ - Creep (2014): https://www.imdb.com/title/tt2428170/ - Strange Harvest: Occult Murder in the Heartland (2024): https://www.imdb.com/title/tt33324687/ Bloque 2: Abducciones - Fire in the Sky (Fuego en el cielo) (1993): https://www.imdb.com/title/tt0106912/ - The Fourth Kind (La cuarta fase) (2009): https://www.imdb.com/title/tt1220198/ Bloque 3: Nuevo Extremismo Francés y Cercanos - Irreversible (2002): https://www.imdb.com/title/tt0290673/ - High Tension (Alta tensión) (2003): https://www.imdb.com/title/tt0338095/ - Calvaire (Calvario) (2004): https://www.imdb.com/title/tt0407621/ - Alleluia (2014): https://www.imdb.com/title/tt3218580/ - À l'intérieur (Inside) (2007): https://www.imdb.com/title/tt0856288/ - Frontière(s) (2007): https://www.imdb.com/title/tt0814685/ - Martyrs (2008): https://www.imdb.com/title/tt1029234/ - Speak No Evil (2022): https://www.imdb.com/title/tt14253060/ (Mencionan la original danesa) Bloque 4: Cajón de Desastre (Cine de Culto y Estrenos Recientes) - The Texas Chain Saw Massacre (1974): https://www.imdb.com/title/tt0072285/ - Threads (1984): https://www.imdb.com/title/tt0090156/ - The Fly (La mosca) (1986): https://www.imdb.com/title/tt0091059/ - Requiem for a Dream (2000): https://www.imdb.com/title/tt0208092/ - The Children (2008): https://www.imdb.com/title/tt1172571/ - The Ruins (Las ruinas) (2008): https://www.imdb.com/title/tt0963794/ - Red White & Blue (2010): https://www.imdb.com/title/tt1465505/ - I Saw the Devil (Encontré al diablo) (2010): https://www.imdb.com/title/tt1588170/ - The Wailing (El extraño) (2016): https://www.imdb.com/title/tt5215952/ - A Serbian Film (2010): https://www.imdb.com/title/tt1273235/ - Lovely Molly (2011): https://www.imdb.com/title/tt1705824/ - The Killing of a Sacred Deer (2017): https://www.imdb.com/title/tt5742374/ - The Golden Glove (El guante de dorado) (2019): https://www.imdb.com/title/tt7060344/ - Talk to Me (Háblame) (2022): https://www.imdb.com/title/tt10638522/ - Red Rooms (Les chambres rouges) (2023): https://www.imdb.com/title/tt23733024/ - Evil Dead Rise (2023): https://www.imdb.com/title/tt13345602/ - Together (2024): https://www.imdb.com/title/tt33446059/ (Estreno de festival mencionado) - The Sadness (2021): https://www.imdb.com/title/tt13872248/ (Mencionada como "The Sadness") - Aterrados (Terrified) (2017): https://www.imdb.com/title/tt7549892/

Follow us on X: https://x.com/menonfilmpod Will, Adam, and Mike watched LAST EXIT TO BROOKLYN. It's based on a book by the same author as REQUIEM FOR A DREAM, Hubert Selby Jr. The movie was directed by Uli Edel, he made the movie, CHRISTIANE F. The cast includes Stephen Lang, Burt Young, Jennifer Jason Leigh, Ricki Lake, Stephen Baldwin, Sam Rockwell, Alexis Arquette, Jerry Orbach, and many more. Most people haven't seen this movie but it's worth watching. IMDb: https://www.imdb.com/title/tt0097714/ Trailer: https://www.youtube.com/watch?v=SrkoFQWvRuc

Dana and Tom with returning guests, Christine Duncan (Wife of Dana and Mother of Tom) and Heather Stewart (The Revisionist Almanac's Senior European Correspondent), to discuss the indie comedy Little Miss Sunshine (2006) for its 20th anniversary: directed by Jonathan Dayton and Valerie Feris, written by Michael Arndt, cinematography by Tim Suhrstedt, music by Mychael Danna, edited by Pamela Martin, starring Greg Kinnear, Toni Collette, Alan Arkin, Paul Dano, Abigail Breslin, and Steve Carell.Plot Summary: Little Miss Sunshine is a comedy-drama about the Hoover family, a group of very different people trying to support one another. When young Olive Hoover (Abigail Breslin) qualifies for the Little Miss Sunshine beauty pageant, her parents—motivational speaker Richard (Greg Kinnear) and stressed but caring Sheryl (Toni Collette)—decide the whole family will travel with her from New Mexico to California. They pile into a rundown yellow van that becomes the setting for both humor and tension.Along the way, Olive's foul-mouthed grandfather Edwin (Alan Arkin), her depressed uncle Frank (Steve Carell), and her silent, angry teenage brother Dwayne (Paul Dano) each face their own struggles. As the trip goes wrong in unexpected ways, the family learns that winning is not as important as sticking together. The film balances comedy and emotion to show how love and acceptance can come from even the most imperfect family.Guests:Christine DuncanWife of Dana and Mother of Tom19x guestHeather StewartThe Revisionist Almanac's Senior European Correspondent@heatherjstewart on IG, X, LetterboxdPreviously on Monty Python's Life of Brian (1979), Requiem for a Dream (2000)Chapters:00:00 Introduction, Cast, and Background for Little Miss Sunshine02:57 Welcome Back, Heather and Christine!10:58 Why Are Comedies So Overlooked by Awards?17:50 Personal Relationship(s) with Little Miss Sunshine26:19 What is Little Miss Sunshine About?29:43 Plot Summary for Little Miss Sunshine31:00 Did You Know?39:26 First Break40:15 What's Happening with Heather and Christine43:54 Best Performance(s)01:03:46 Best Scene(s)01:21:50 Second Break01:22:40 Best/Funniest Lines01:27:27 The Stanley Rubric - Legacy01:39:27 The Stanley Rubric - Impact/Significance01:45:40 The Stanley Rubric - Novelty01:52:08 The Stanley Rubric - Classicness02:00:59 The Stanley Rubric - Rewatchability02:06:22 The Stanley Rubric - Audience Score and Final Total02:08:12 Remaining Questions for Little Miss Sunshine02:14:48 Thank You to Heather and Christine / Remaining...

Boze Geesten afl. 201In deze aflevering bespreken we de zojuist verschenen Zembla-documentaire 'Het woonexperiment' en doen we een poging om grip te krijgen op de controverse die is ontstaan...Gast: Merijn Nijhuishttps://www.instagram.com/merijnnij/?utm_medium=copy_link***Steun Open Geesten / Zomergeesten / Boze Geesten Podcast

Send us a textArmageddon TimeThis week in Season 16's Going Gray (working title), Episode 2 will cover the writer-director's 2022 autobiographical film about his Jewish American assimilative upbringing and formative childhood events slightly beyond his ken that will have the potential to lead him to become the legendary director we know today, that same director whose film we are—   Wait, no, you've not heard TGTPTU cover this one. Seriously, no, sorry to contradict, but you're wrong. TGTPTU is not redux-ing the previously covered The Fabelmans (that was Season 14's gimmick). This is Season 16, if you'll let your no-so-humble scribe finish, which covers the directorial work of Gen X filmmaker James Gray, including his deeply personal film that was a stupendous box office failure ARMAGEDDON TIME (2022).   Gray's most recent film is somehow even more personal than his first (just covered in the season's inaugural episode as part of TGTPU's temporal pincer movement), with Armageddon Time set historically in 1980 in time for the election of Ronald Reagan to the U.S. presidency, which may or may not factor more largely into the narrative. With a few noted exceptions by the pod's purist contingent, Gray's focus remains with his POV character Paul. Played by child actor Banks Repeta who, along with Jaylin Webb as his friend Johnny, brings an amazing performance alongside heavyweights Anne Hathaway, Jeremy Strong, and Anthony Hopkins as Paul's mother, father, and grandfather respectively and who each will, in their own ways, help the sixth-grade Paul's insights into social inequity and struggles.   Note: Despite its MPAA R rating and the many similarities in plot as raised during the podcast, Gray's most recent film is not a Requiem for a Dream retelling and there is zero ass-to-ass.  This week, Ken has all the feels and appears, despite his graphic novel's striking similarity to Gray's film, to not be pursuing the Harlan Ellison legal route for residuals; Tom's lukewarm; and Ryan's meh. Discussion of these disparate reactions leads to comparison with and exploration of The Fabelmans (2022), Mid90s (2018), and other nostalgic, coming-of-age films by writer-directors in recent years. THEME SONG BY: WEIRD A.I.Email: thegoodthepodandtheugly@gmail.comFacebook: https://m.facebook.com/TGTPTUInstagram: https://instagram.com/thegoodthepodandtheugly?igshid=um92md09kjg0Bluesky: @goodpodugly.bsky.socialYouTube: https://www.youtube.com/channel/UC6mI2plrgJu-TB95bbJCW-gLetterboxd (follow us!):Podcast: goodpoduglyKen: Ken KoralRyan: Ryan Tobias

In 1991, Nelson founded Sound Dogs, a studio that has since grown into Canada's premier sound editing, recording, and design company with hundreds of film and television titles to their credit. Nelson has worked with renowned directors such as Darren Aronofsky on Requiem for a Dream and Guillermo del Toro on The Shape of Water, which earned Nelson both Oscar and BAFTA nominations. Nelson's other film work includes: The Breadwinner, Dual, Priscilla, Nutcrackers, Francis Ford Coppola's Megalopolis, and Guillermo del Toro's Frankenstein. 

On this episode, Jared goes over his 7 most recent watched movies including: Pacific Rim, Pacific Rim Uprising, Gladiator, Buried, Requiem for a Dream, Pitch Perfect, and Dead Man Walking.

DAVID BOWIE AS THE GOBLIN KING!!! Labyrinth Full Movie Reaction Watch Along: ⁠  / thereelrejects  ⁠ Gift Someone (Or Yourself) An RR Tee! ⁠https://shorturl.at/hekk2⁠ Coy & Roxy embark on a CLASSIC '80s Fantasy as they give their Labyrinth Full Movie Reaction, Breakdown, Analysis, Commentary & Spoiler Review! Roxy Striar & Coy Jandreau react to Labyrinth (1986), the beloved fantasy cult classic directed by Jim Henson and produced by George Lucas, a film that blends fairy-tale adventure, surreal imagination, and iconic musical moments into one of the most enduring fantasy experiences of the 1980s. The story follows Sarah Williams (Jennifer Connelly – The Rocketeer, Requiem for a Dream), a headstrong teenager who accidentally wishes her baby brother away and must journey through a magical, ever-shifting labyrinth to rescue him before time runs out. Ruling over this strange world is Jareth the Goblin King, played by David Bowie (The Man Who Fell to Earth, The Prestige), whose charismatic menace, elaborate costumes, and musical numbers have made him one of fantasy cinema's most unforgettable villains. As Sarah navigates riddles, traps, and bizarre creatures, she encounters loyal allies like Hoggle (Brian Henson – Return to Oz), Ludo (Ron Mueck – creature performance legend), and the chivalrous fox knight Sir Didymus (David Shaughnessy – Star Trek: Voyager). Iconic moments include Bowie's electrifying opening number “Magic Dance,” the Escher-inspired staircase illusion, the Fireys' anarchic dance sequence, the haunting “As the World Falls Down” ballroom fantasy, and Sarah's final declaration of independence that redefines the film's fairy-tale moral. With Jim Henson's groundbreaking puppetry, Brian Froud's creature designs, and a timeless coming-of-age message, Labyrinth remains a cherished fantasy touchstone that continues to captivate new generations. Follow Coy Jandreau:  Tik Tok:⁠ https://www.tiktok.com/@coyjandreau?l...⁠ Instagram:⁠ https://www.instagram.com/coyjandreau/?hl=en⁠ Twitter:  ⁠https://twitter.com/CoyJandreau⁠ YouTube: ⁠https://www.youtube.com/channel/UCwYH2szDTuU9ImFZ9gBRH8w⁠ Follow Roxy Striar YouTube:⁠https://www.youtube.com/@TheWhirlGirls⁠ Instagram:⁠ ⁠⁠https://www.instagram.com/roxystriar/?hl=en⁠ Twitter:  ⁠https://twitter.com/roxystriar⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

DAVID BOWIE AS THE GOBLIN KING!!! Labyrinth Full Movie Reaction Watch Along:   / thereelrejects   Gift Someone (Or Yourself) An RR Tee! https://shorturl.at/hekk2 Coy & Roxy embark on a CLASSIC '80s Fantasy as they give their Labyrinth Full Movie Reaction, Breakdown, Analysis, Commentary & Spoiler Review! Roxy Striar & Coy Jandreau react to Labyrinth (1986), the beloved fantasy cult classic directed by Jim Henson and produced by George Lucas, a film that blends fairy-tale adventure, surreal imagination, and iconic musical moments into one of the most enduring fantasy experiences of the 1980s. The story follows Sarah Williams (Jennifer Connelly – The Rocketeer, Requiem for a Dream), a headstrong teenager who accidentally wishes her baby brother away and must journey through a magical, ever-shifting labyrinth to rescue him before time runs out. Ruling over this strange world is Jareth the Goblin King, played by David Bowie (The Man Who Fell to Earth, The Prestige), whose charismatic menace, elaborate costumes, and musical numbers have made him one of fantasy cinema's most unforgettable villains. As Sarah navigates riddles, traps, and bizarre creatures, she encounters loyal allies like Hoggle (Brian Henson – Return to Oz), Ludo (Ron Mueck – creature performance legend), and the chivalrous fox knight Sir Didymus (David Shaughnessy – Star Trek: Voyager). Iconic moments include Bowie's electrifying opening number “Magic Dance,” the Escher-inspired staircase illusion, the Fireys' anarchic dance sequence, the haunting “As the World Falls Down” ballroom fantasy, and Sarah's final declaration of independence that redefines the film's fairy-tale moral. With Jim Henson's groundbreaking puppetry, Brian Froud's creature designs, and a timeless coming-of-age message, Labyrinth remains a cherished fantasy touchstone that continues to captivate new generations. Follow Coy Jandreau:  Tik Tok: https://www.tiktok.com/@coyjandreau?l... Instagram: https://www.instagram.com/coyjandreau/?hl=en Twitter:  https://twitter.com/CoyJandreau YouTube: https://www.youtube.com/channel/UCwYH2szDTuU9ImFZ9gBRH8w Follow Roxy Striar YouTube:https://www.youtube.com/@TheWhirlGirls Instagram: https://www.instagram.com/roxystriar/?hl=en Twitter:  https://twitter.com/roxystriar Learn more about your ad choices. Visit megaphone.fm/adchoices

Just in time for Christmas, another Patreon episode is out of the vault! The boys discuss the 90's Christmas classic from Disney: The Santa Clause starring Tim Allen! But first, Cody reveals his antisemitism. This movie deserves A Requiem for a Dream treatment by Darren Aronofsky. This movie is vey Fat-phobic. Tim Allen crawled, walked, ran into a successful film career. Santa Claus & his elves are ACAB! If you assassinate a CEO, do you then become that CEO? Only select few on the pod care about the show Lost. Introduce more Santa lore into the darker retelling of this story. This episode's dark secret gives more insight to the Anthony lannaccio lore than ever before. Mushrooms over therapy. We rank some of the best Christmas movies. Jake has Christmas magic resistance. This a quick watch and definitely holds up!Check out the Kickstarter pre-launch page for Superguy issue #2 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kickstarter.com/projects/mrtonynacho/superguy-2-my-date-with-the-presidents-daughter?ref=creator_tab⁠⁠⁠⁠⁠⁠⁠New episodes every THURSDAYFollow us on social media! Bluesky // Instagram // Twitter // TikTok :⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@comicsnchronic⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.youtube.com/channel/UC45vP6pBHZk9rZi_2X3VkzQ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠E-mail: comicsnchronicpodcast@gmail.comCodyInstagram // Bluesky:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@codycannoncomedy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter: @Cody_CannonTikTok: @codywalakacannonJakeInstagram // Bluesky:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@jakefhaha⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AnthonyBluesky // Instagram // Threads // Twitter // TikTok:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@mrtonynacho⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Send us a textTwo conspiracy-obsessed middle-aged men kidnap the high-powered producer of a minor podcast, convinced that he is an alien intent on destroying planet Earth. On Episode 698 of Trick or Treat Radio we continue our annual December Double Feature Cram Jam tradition! We kick it off with the films from two of our favorite directors; Bugonia from Yorgos Lanthimos, and Caught Stealing from Darren Aronofsky! We also battle our old nemesis Tek Issues, react to trailers for the films Man Finds Tape and Supergirl, and find out what the most horrifying sight in a gym is. So grab your tin foil hat, don't forget to bring along your cat, and strap on for the world's most dangerous podcast!Stuff we talk about: Big Media Mergers, Netflix, WB, Gremlins, Mortal Kombat, The Conjuring, It, Final Destination, corporate takeovers, Michigan J Frog, Nightmare City, OBS vs. XSplit, Malignant, Nikki Sixx, Idle Hands, Pieces, Man Finds Tape, Found Footage, Supergirl, James Gunn, Blondie, Craig Gillespie, Fright Night, I Tonya, Green Room, Anton Yelchin, Lars and the Real Girl, Roman Chairs, Cum Town, working out, swinging and dinging in the gym, Stavros Halkias, Emma Stone, Full Throttle Cooking with Craig, Save the Green Planet, Jesse Plemons, Yorgos Lanthimos, VistaVision, One-Eyed Jacks, Aidan Delbis, Stanley Kubrick, Carol Kane, conspiracy theories, The Fountain, The Wrestler, Requiem for a Dream, Black Swan, Mother!, Regina King, Things to do in Denver When You're Dead, Quentin Tarantino, Matt Smith, Zoe Kravitz, Clerks, Austin Butler, Charlie Huston, Good Boy, Shelby Oaks, Emma Stone to the Bone, Massachusetts, Bee Gees, laying pipe and swinging dongs, Schneider-Man, and The Cum Town Rub.Support us on Patreon: https://www.patreon.com/trickortreatradioJoin our Discord Community: discord.trickortreatradio.comSend Email/Voicemail: mailto:podcast@trickortreatradio.comVisit our website: http://trickortreatradio.comStart your own podcast: https://www.buzzsprout.com/?referrer_id=386Use our Amazon link: http://amzn.to/2CTdZzKFB Group: http://www.facebook.com/groups/trickortreatradioTwitter: http://twitter.com/TrickTreatRadioFacebook: http://facebook.com/TrickOrTreatRadioYouTube: http://youtube.com/TrickOrTreatRadioInstagram: http://instagram.com/TrickorTreatRadioSupport the show

Legendary filmmaker Darren Aronofsky and cinematographer Matthew Libatique, ASC, LPS, join us to reflect on their three decades of creative partnership: from “Pi,” “Requiem for a Dream,” “Black Swan,” and “The Whale,” to their newest collaboration, “Caught Stealing.” In this wide-ranging conversation, they discuss the evolution of their visual language, how technology continues to reshape the craft, and the inspirations behind the kinetic, East-Village-in-the-'90s aesthetic of “Caught Stealing.” And as the industry stands on the brink of profound transformation, Aronofsky shares why he believes the future is full of opportunities for new kinds of innovative storytelling. “I think how we make films is about to change more than any other time in history. And there's many ways that can go, many possibilities. So I think for storytellers, it's really exciting because there's a lot of discovery ahead of us. There's the potential for lots of very specific, individual types of films. But I think there's an absolute need for storytellers to be inventive and to be looking forward.” —Darren Aronofsky, Director and Producer, “Caught Stealing” Be sure to check out “Caught Stealing,” now streaming on Netflix, in Dolby Vision® and Dolby Atmos®. Please subscribe to Dolby Creator Talks wherever you get your podcasts. You can also check out the video for this episode on YouTube. Learn more about Sundance Collab here. Learn more about the Dolby Creator Lab and check out Dolby.com. Connect with Dolby on Instagram, Twitter, Facebook, or LinkedIn.

Flautist and composer Claire Wickes and composer Vince Pope join Jeffrey Boakye and Anna Phoebe to add five more tracks, taking us from some traditional Irish violins to San Francisco's Kronos Quartet, stopping along the way for some musical Greek mythology.Producer: Jerome Weatherald Presented with musical direction by Jeffrey Boakye and Anna PhoebeThe five tracks in this week's playlist:Runaway by The Corrs La flûte de Pan by Claude Debussy Cassandra by Florence and the Machine Stay With Me by Clint Mansell & Kronos Quartet Ya Taali'een el-Jabal by Kronos Quartet ft Rim BannaOther music in this episodeA Girl Like You by Edwyn Collins True Detective: Night Country - Caribou (ft. Tanya Tagaq) by Vince Pope Posee un Corazón by Leonor Dely Oyé Oyé (Lumbalú) by Leonor Dely & Millero Congo Venus by Bananarama Midas Touch by Midnight Star Cassandra by ABBA Cassandra by Taylor Swift Cole's First Dream from the 12 Monkeys soundtrack by Paul Buckmaster Theme from Minority Report by John Williams Lux Aeterna from the Requiem for a Dream soundtrack by Paul Buckmaster

Welcome to The Movie Planet Homework Show!! After recording the show, Joe and Josh gave themselves some homework assignments to help fill out our pantheons a bit. For Steve: "Spirited Away" for the Animated Pantheon (2001) For Joe: "Requiem for a Dream" for the Drama Pantheon (2000) Future Homework Assignments! The Pantheons: https://docs.google.com/spreadsheets/d/1uQF833nuzmDogc5GhkOMgmrBwd8_MNtSrdO-sfddFOk/edit?usp=sharing   "Winning Edge" provided by: Wavtracks Music PO Box 56 Sylvania, 2224 NSW Australia

Austin Butler in a crime comedy from the director of Black Swan, Mother! and Requiem for a Dream? That couldn't possibly work... could it? (Warning: contains spoilers for major plot developments.) Presented by J.R. Southall, with Jon Arnold and Ryan Blake

It's Week 9 in the OBFFL, and this is the point where contenders separate, pretenders panic, and someone inevitably blames "bye weeks" for their collapse. Week 8 brought chaos, heartbreak, and a few miracle wins no one deserved. Standings are tight, the takes are hotter, and the group chat never sleeps. Here to break it down this week is Alec Swiecinski of Andy Reid's Fupa & Dom Schlabach of You Sanu'z You Lose

In this episode, we do a rewatchable review of the 2000 psychological drama Requiem for a Dream, directed by Darren Aronofsky and starring Jared Leto and Marlon Wayans. We discuss whether the film still holds up in its brutal honesty about drug addiction, and we debate whether this is Marlon Wayans's best film performance. Learn more about your ad choices. Visit megaphone.fm/adchoicesSee omnystudio.com/listener for privacy information.

In this episode, we do a rewatchable review of the 2000 psychological drama Requiem for a Dream, directed by Darren Aronofsky and starring Jared Leto and Marlon Wayans. We discuss whether the film still holds up in its brutal honesty about drug addiction, and we debate whether this is Marlon Wayans's best film performance. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dana and Tom with returning guest, Heather Stewart (The Revisionist Almanac's Senior European Correspondent) discuss Requiem for a Dream (2000) celebrating its 25th Anniversary: written and directed by Darren Aronofsky with Hubert Selby, Jr., cinematography by Matthew Libatique, music by Clint Mansell, editing by Jay Rabinowitz, starring Ellen Burstyn, Jared Leto, Jennifer Connelly, and Marlon Wayans.Plot Summary: In Requiem for a Dream, four residents of Coney Island chase transformative dreams at any cost. Sara Goldfarb (Ellen Burstyn), a lonely widow, becomes obsessed with appearing on her favorite TV game show and resorts to prescription diet pills. Her son Harry (Jared Leto), his girlfriend Marion (Jennifer Connelly), and best friend Tyrone (Marlon Wayans) envision striking it rich as drug dealers, fueling their ambitions with heroin and amphetamines. As each character's dependency deepens, their utopian visions shatter, plunging them into a harrowing spiral of addiction and despair.Guest:Heather StewartThe Revisionist Almanac's Senior European Correspondent@heatherjstewart on IG, X, LetterboxdPreviously on Monty Python's Life of Brian (1979)Chapters:00:00 Introduction, Cast, and Background for Requiem for a Dream03:13 Welcome Back, Heather Stewart04:29 Heather's New Role06:37 A CLP Thank You to Heather and General Discussion16:25 The Quintessential Bottoming Out Movie20:11 First Impressions of Requiem29:27 Plot Summary for Requiem for a Dream30:22 What is Requiem for a Dream About?42:35 Did You Know?46:34 First Break48:34 What's Up with Heather Stewart?54:32 CLP Rankings - #50-4101:09:29 Best Performance(s)01:22:40 Best Scene(s)01:32:55 Second Break01:33:33 In Memoriam01:34:33 Best Lines01:37:26 The Stanley Rubric - Legacy01:45:49 The Stanley Rubric - Impact/Significance01:50:18 The Stanley Rubric - Novelty01:56:43 The Stanley Rubric - Classicness02:01:20 The Stanley Rubric - Rewatchability02:07:44 The Stanley Rubric - Audience Score and Final Total02:11:50 Remaining Questions for Requiem02:19:59 Thank You to Heather and Remaining Thoughts02:21:49 CreditsYou can also find this episode in full video on YouTube.You can now follow us on Instagram, Twitter, YouTube, or TikTok (@gmoatpodcast).For more on the episode, go to: https://www.ronnyduncanstudios.com/post/requiem-for-a-dream-2000-ft-heather-stewartFor the entire rankings list so far, go to:

Darren Aronofsky's films are about the body as battlefield — craving, decaying, reaching for redemption and collapsing under its weight. Requiem for a Dream (2000) is addiction as apocalypse, a symphony of repetition and ruin powered by Ellen Burstyn's tragic hunger for fame. The Wrestler (2008) trades chaos for quiet despair, with Mickey Rourke's washed-up hero chasing applause like a drug — a portrait of broken masculinity and fading glory. The Whale (2022) completes the cycle: Brendan Fraser's Charlie seeks forgiveness through reconnection with his daughter, eating himself alive to prove he still feels. Across all three, Aronofsky obsesses over self-destruction and the impossible longing to be seen again — by God, by the crowd, or by one's own child. His cinema is a study in human ruin: brutal, sacred, and endlessly reaching for grace.Disclaimer: The following may contain offensive language, adult humor, and/or content that some viewers may find offensive – The views and opinions expressed by any one speaker does not explicitly or necessarily reflect or represent those of Mark Radulich or W2M Network.Mark Radulich and his wacky podcast on all the things:https://linktr.ee/markkind76alsohttps://www.teepublic.com/user/radulich-in-broadcasting-networkFB Messenger: Mark Radulich LCSWTiktok: @markradulichtwitter: @MarkRadulichInstagram: markkind76RIBN Album Playlist: https://suno.com/playlist/91d704c9-d1ea-45a0-9ffe-5069497bad59 

Drug addiction sends four lives into a tragic downward spiral. Special guest Samantha Noah joins us to talk about strings of sorrow, what Jareth the Goblin King would have wanted from Marion, and the one way Jared Leto *didn't* go full Method for this role. Then we find out if Requiem for a Dream stands the Test of Time.

Stephen's feature film work includes: Requiem For A Dream, The Fountain, Resident Evil, Dual, Priscilla, My Old Ass, Arthur The King, Nutcrackers, and more recently A Big Bold Beautiful Journey. Stephen's documentary work includes: Rush: Beyond The Lighted Stage, The Go-Go's, and Cyndi Lauper: Let The Canary Sing.

On the fifty- first episode of All the Film Things, my friend and ATFT regular, writer/ director Samy El- Kamel is back for an analytical discussion about Darren Aronofsky's 2000 psychological drama classic, Requiem for a Dream! This episode is spoiler- filled and contains explicit language.Darren Aronofsky's sophomore feature, Requiem for a Dream, continues to be talked about today yet it's a curious case as it's respected but beloved may not be exactly the perfect word. This film is often regarded as "the best film you'll never rewatch" due to its bleak but impactful ending. Requiem for a Dream follows four people, all connected to Harry Goldfarb (Jared Leto), who are striving to achieve their dreams in the most dangerous, self- destructing ways through their addictions. While Harry's mother Sara (Ellen Burstyn) tries her hardest to lose weight to look her best on television, he along with his girlfriend Marion (Jennifer Connelly) and friend Ty (Marlon Wayans) are addicted to heroin. The three of them hope to turn their ideas of being successful businessmen into a reality but the need for heroin persists. Though widely considered a psychological drama, Aronofsky considers this film an “urban horror film” in the sense that the film captures a dream that turns into a nightmare. This film is based on Hubert Selby jr's novel published in 1978 and Aronofsky was happy to involve Selby in the making of this film (he even makes a cameo towards the end!). Even though Requiem for a Dream is still celebrated today, the film only earned one Oscar nomination in the "Best Supporting Actress" category for Ellen Burstyn. Of all the films I have seen, there is nothing quite like Requiem for a Dream from the cinematography to the editing to its lasting impact which has made me eager to devote an episode to the film.This is Samy's fourteenth time on the podcast, sustaining his place as the second most frequent guest on the show! I had been wanting to do an episode on Requiem for a Dream for over three years now and it was a hard topic to pitch to others. Those who have yet to see the film were hesitant to watch it while those who have seen the film, did not want to revisit it. Thankfully Samy, although slightly reluctant, was up for the challenge. While it is hard for both of us to say this is one of our favorite films, we have a deep respect for it and would probably regard it as one of the best films we've ever seen. This episode was recorded on September 18, 2025. Samy recently premiered his latest short film, “Anatomy of a Panic Attack” at the “Take it or leave it” short film showcase at MOCA Jacksonville. While the short has not yet been released online, Samy's short film "Waveform" was recently screened at the Jax Fuse Film Festival. Watch short films "Waveform", "Neurafridge", and more of Samy's past work by subscribing to his YouTube channel, Barefoot Python Media, by clicking this link.In this episode, Samy and I talk about our first experiences watching Requiem for a Dream, each character's motivations for taking drugs, and why people should challenge themselves to watch the film at least once. While Samy discusses the impact of Sara Goldfarb's storyline, I explain why the role of Harry Goldfarb is perfectly aligned with Jared Leto's trademark character type. All this and much more on the latest episode of All the Film Things!Background music created and used with permission by the Copyright Free Music - Background Music for Videos channel on YouTube.

The Wrestler Despite his failing health and rapidly diminishing fame, Randy "The Ram" Robinson (Mickey Rourke) continues to eke out a career as a professional wrestler... partially due to financial hardship and partially in an attempt to hold on to the success of his heyday. Is his world improved by the quest to find love and redemption in the arms of Marisa Tomei's "aging" exotic dancer? Or will he find an emotional sanctuary with his estranged daughter (Evan Rachel Wood)? It's from the same director of Requiem for a Dream... what do you think? It's laughs all round for this one folks, as we body slam into our first film of Wrestle-tober! Darren Aronofsky's much lauded 2008 film is our cheery little topic for this week, and the whole team are in the ring for this one! Jill and Peta are the wrestling beauties flying high off the top rope, Dion is hiding behind the Spanish announcers table and Quinny was the ref they knocked out about 10 seconds into the match. Synopsis A faded professional wrestler must retire, but finds his quest for a new life outside the ring a dispiriting struggle. https://youtu.be/wBOqvDs3yko A huge thank you to all the aging wrestlers and exotic dancers who listen to each episode of the show while they should be doing other things... But also thank you, to those  wrestling promoters and Deli managers who join in on the live-chat during the Twitch stream this week, and every week! If you haven't done so before join us next week for our live show! Special love and thanks goes to those who have financially bolstered this podcast via dropping some their hard earnt winnings into our Ko-Fi cup and now also by subscribing on Twitch! Your generosity is always appreciated! if you do know any big shot WWE style promoters willing to pay us to wrassle... let us know! If you feel so inclined give us a sub! The more subs we get the more emotes, you get! Every bit of your support helps us to keep the show on the air! Don't fret if you can't be there for the recording though as you can catch them on Youtube usually later that very night. Make sure to subscribe so you don't miss them! https://youtu.be/FazwcJWcULA?si=XOLzt24ZZgGHkGCJ https://youtu.be/xR-uab9_nsA?si=vLMQiyFBmJQo9Lyd WE WANT YOUR FEEDBACK! Send in voicemails or emails with your opinions on this show (or any others) to info@theperiodictableofawesome.com Please make sure to join our social networks too!  We're on: Youtube: https://www.youtube.com/user/TPToA/ Twitter: www.twitter.com/TPToA Facebook: www.facebook.com/PeriodicTableOfAwesome Instagram: www.instagram.com/theperiodictableofawesome/

  Darren Aronofsky is best known as a writer/director of provocative films like Black Swan, Mother!, and Requiem for a Dream. Movies that are hard to watch and harder to forget. Caught Stealing is...

THE VIN DIESEL, BRAD BIRD CLASSIC! The Iron Giant Full Movie Reaction Watch Along:   / thereelrejects   Superman Movie Reaction:    • SUPERMAN (2025) DELIVERS ON THE HYPE!! MOV...   Get your New Customer offer + 3-month Unlimited wireless plan for just 15 bucks a month at https://www.mintmobile.com/REJECTS The Iron Giant Reaction, Recap, Commentary, Analysis, Breakdown & Spoiler Review! Greg Alba & Andrew Gordon (Cinepals) revisit the 1999 animated cult classic The Iron Giant, directed by Brad Bird (The Incredibles, Ratatouille, Mission: Impossible – Ghost Protocol) and produced by Warner Bros. Animation, the same studio behind countless DC classics like Superman: The Animated Series. The film stars Vin Diesel (Fast & Furious, Guardians of the Galaxy) as the voice of the Giant, Eli Marienthal (American Pie) as young Hogarth Hughes, Jennifer Aniston (Friends, The Morning Show) as his mom Annie, Harry Connick Jr. (Hope Floats, Independence Day) as beatnik artist Dean, Christopher McDonald (Happy Gilmore, Requiem for a Dream) as the paranoid government agent Kent Mansley, and John Mahoney (Frasier, Say Anything) as General Rogard. We dive into iconic scenes like Hogarth teaching the Giant “You are who you choose to be,” the unforgettable “Superman” sacrifice, the deer scene that teaches the Giant about death, Kent Mansley's escalating paranoia, and the emotional Cold War-era standoff that culminates in one of the most powerful endings in animated history. Famous quotes include “I am not a gun” and the Giant's heartbreaking “Superman.” We explore why this film flopped at release yet became a beloved classic, its influence on modern superhero storytelling, and how its themes of identity, war, and compassion still resonate today. Follow Andrew Gordon on Socials:  YouTube: https://www.youtube.com/@MovieSource Instagram:  https://www.instagram.com/agor711/?hl=en Twitter:  https://twitter.com/Agor711 Intense Suspense by Audionautix is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... Support The Channel By Getting Some REEL REJECTS Apparel! https://www.rejectnationshop.com/ Follow Us On Socials:  Instagram: https://www.instagram.com/reelrejects/  Tik-Tok: https://www.tiktok.com/@reelrejects?lang=en Twitter: https://x.com/reelrejects Facebook: https://www.facebook.com/TheReelRejects/ Music Used In Ad:  Hat the Jazz by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Happy Alley by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... POWERED BY @GFUEL Visit https://gfuel.ly/3wD5Ygo and use code REJECTNATION for 20% off select tubs!! Head Editor: https://www.instagram.com/praperhq/?hl=en Co-Editor: Greg Alba Co-Editor: John Humphrey Music In Video: Airport Lounge - Disco Ultralounge by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Ask Us A QUESTION On CAMEO: https://www.cameo.com/thereelrejects Follow TheReelRejects On FACEBOOK, TWITTER, & INSTAGRAM:  FB:  https://www.facebook.com/TheReelRejects/ INSTAGRAM:  https://www.instagram.com/reelrejects/ TWITTER:  https://twitter.com/thereelrejects Follow GREG ON INSTAGRAM & TWITTER: INSTAGRAM:  https://www.instagram.com/thegregalba/ TWITTER:  https://twitter.com/thegregalba Learn more about your ad choices. Visit megaphone.fm/adchoices

Darren Aronofsky follows up his divisive Oscar-winner, The Whale, with a throwback to 90s capers. Caught Stealing is an After Hours pastiche without any ego and a studio potboiler aimed right down the middle of the road, it just happens to star one of the most charismatic casts assembled in 2025. Jeff and Derek discuss the star power of Austin Butler, the few surprises the film has in store, and this strange departure from Aronofsky's typical auteurism. Tune in!

Our website: https://www.itstwobrothers.com/ Discuss this episode at reddit.com/r/ItsTwoBrothersPodcast Spoilers: Metal Gear Solid 4: 38:17 - 39:02 Final Fantasy 10: 39:07 - 39:20 Resistance 2: 39:28 - 39:34 Mass Effect 3: 40:05 - 40:43 Suzume (obviously): 43:30 and onwards! Requiem for a Dream: 50:34 - 51:08 Bring Her Back: 1:17:55 - 1:18:32 The Blacklist: 1:19:25 - 1:20:30 Watching Makoto Shinkai's worst movie (and its still amazing), Suzume! Also in this episode: Jason takes a (deserved?) break. Doxxing ourselves with our IMDB page! Saudi Arabian desert water light. Deep in an Assetto Corsa hole. Do you wanna play a game you think you'll like...or do you wanna play God Hand? The perfect fighting game stance. Steven Total War's his Fallout using Hearts of Iron. Primitive Technology viewers win reality shows. Insane cooking antics (pics on itstwobrothers.com). Cabbage gas. HYPERTENSION! We're the worst podcasters. Jason doesn't know how mics work apparently. The best (scripted) moments in video games. Opaque editing and Hello Internet. Next time, back to albums! Bully - SUGAREGG Bully - Lucky For You The Technicolors - Cinema Sublimina Moderat - Moderat Support It's Two Brothers by contributing to their tip jar: https://tips.pinecast.com/jar/itstwobrothers This podcast is powered by Pinecast.

Have you seen Moonlight? What about Beautiful Boy? Requiem for a Dream? CJ Johnston, Nightlife's resident film guru, joins Andrea Ho to break down the portrayals of drugs in film.

DARREN ARONOFSKY'S MASTERPIECE!! Requiem for a Dream Full Movie Reaction Watch Along:   / thereelrejects   LIQUID IV: Visit http://www.liquidiv.com & use Promo Code: REJECTS Support The Channel By Getting Some REEL REJECTS Apparel! https://www.rejectnationshop.com/ With Marlon Wayans & returning to screen in the Jordan Peele / Monkey's Paw-produced "HIM" + Darren Aronofsky's "Caught Stealing" in theatres now, Roxy & Tara RETURN to give their Requiem for a Dream Reaction, Recap, Commentary, Analysis, & Spoiler Review! Tara Erickson & Roxy Striar take on Darren Aronofsky's haunting 2000 psychological drama Requiem for a Dream, a visceral exploration of addiction, obsession, and the human need for connection. The film stars Jared Leto (Dallas Buyers Club, Morbius) as Harry Goldfarb, a young man chasing quick fixes; Jennifer Connelly (A Beautiful Mind, Labyrinth) as his girlfriend Marion Silver, whose dreams are consumed by desperation; Marlon Wayans (White Chicks, Respect) as Harry's best friend Tyrone C. Love, and Ellen Burstyn (The Exorcist, Interstellar) in her Oscar-nominated role as Sara Goldfarb, a lonely woman spiraling into diet pill addiction and delusion. Aronofsky's unflinching style, paired with Clint Mansell's iconic score (Lux Aeterna), creates one of the most unforgettable cinematic experiences of the 2000s. From the shocking descent of Sara's television-obsessed hallucinations to Harry's brutal hospital scenes, Marion's infamous degradation, and Tyrone's devastating imprisonment, Requiem for a Dream remains a deeply disturbing and powerfully emotional film that still resonates in discussions of cinema, addiction, and psychological horror. Join us as we break down the themes, shocking performances, unforgettable imagery, and the lasting cultural impact of this modern classic. Follow Roxy Striar YouTube:https://www.youtube.com/@TheWhirlGirls Instagram: https://www.instagram.com/roxystriar/?hl=en Twitter:  https://twitter.com/roxystriar Follow Tara Erickson: Youtube: https://www.youtube.com/@TaraErickson Instagram:  https://www.instagram.com/taraerickson/ Twitter:  https://twitter.com/thetaraerickson Intense Suspense by Audionautix is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... Support The Channel By Getting Some REEL REJECTS Apparel! https://www.rejectnationshop.com/ Follow Us On Socials:  Instagram: https://www.instagram.com/reelrejects/  Tik-Tok: https://www.tiktok.com/@reelrejects?lang=en Twitter: https://x.com/reelrejects Facebook: https://www.facebook.com/TheReelRejects/ Music Used In Ad:  Hat the Jazz by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Happy Alley by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... POWERED BY @GFUEL Visit https://gfuel.ly/3wD5Ygo and use code REJECTNATION for 20% off select tubs!! Head Editor: https://www.instagram.com/praperhq/?hl=en Co-Editor: Greg Alba Co-Editor: John Humphrey Music In Video: Airport Lounge - Disco Ultralounge by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Ask Us A QUESTION On CAMEO: https://www.cameo.com/thereelrejects Follow TheReelRejects On FACEBOOK, TWITTER, & INSTAGRAM:  FB:  https://www.facebook.com/TheReelRejects/ INSTAGRAM:  https://www.instagram.com/reelrejects/ TWITTER:  https://twitter.com/thereelrejects Follow GREG ON INSTAGRAM & TWITTER: INSTAGRAM:  https://www.instagram.com/thegregalba/ TWITTER:  https://twitter.com/thegregalba Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us a text about your favourite films relating to the episode.This month on the podcast as the new film Caught Stealing is out in cinemas across the world, filled with stars and directed by the legendary director Darren Aronofsky. We will be having a lengthy chat about Mr Aronofsky films. Joining me is the fantastic Tommy from the Haven't Scene It: A Movie Podcast. Warning we will be talking SPOILERSThe Host to go first this and is going for a film that put Darren Aronofsky on the map of the film world, Requiem for a Dream. On this one we talk about all the crazy directional moments Darren Aronofsky goes for. We talk about seriouly dark this film gets at times. We talk about the incredible acting talents from Ellen Burstyn especially. Plus we talk about monster fridges. IMDB page  Haven't Scene It: A Movie Pod Link link treeFVF Social linkstwitterinstagramTikTokAs ever please enjoy.       Support the show

We're back from the Labor Day holiday and ready to take on the fall movie season here at Breakfast All Day. But first, we're playing a little catch-up with some end-of-summer movies you should know about. First, it's "Caught Stealing," the latest from Darren Aronofsky ("Black Swan," "Requiem for a Dream," "mother!") and perhaps his most accessible film yet. Austin Butler stars as a bartender who gets caught up in in a criminal scheme in late-'90s New York. It's a lark with a dark heart. Zoë Kravitz, Matt Smith, Vincent D'Onofrio and Liev Schreiber co-star. In theaters. Next up is another star-studded movie, "The Roses." You may remember this when it came out in 1989 and was called "The War of the Roses" starring Kathleen Turner and Michael Douglas. This time, Olivia Colman and Benedict Cumberbatch play a wealthy and successful couple whose marriage is about to collapse under the weight of their ambition and resentment. Andy Samberg, Kate McKinnon and Allison Janney co-star. In theaters. Finally, you should definitely check out "Lurker," an indie thriller that expertly explores modern celebrity. Alex Russell ("The Bear," "Beef") makes his writing-directing debut with this story of an up-and-coming pop star (Archie Madekwe) and the canny fan (Théodore Pellerin) who insinuates himself into his inner circle. Lots of twists and deeply uncomfortable moments. In theaters. Save up to 30% on select skillets and dual-handle items all September long with Lodge Cast Iron! Stock up on pieces you'll use to cook delicious, hearty meals throughout the fall and winter: https://lodgecastiron.pxf.io/c/3656599/3247092/23521   (Some links are affiliate links which means if you purchase something, we may receive a small commission at no additional cost to you.)

CAUGHT STEALING MOVIE REVIEW Director/writer Darren Aronofsky is known for making really intense and usually very surreal films, like Requiem for a Dream, Black Swan, and Mother!. Sometimes he chills a bit to focus on telling a great character based story like in The Wrestler. Caught Stealing is a bit of an oddball choice for […]

CAUGHT STEALING MOVIE REVIEW Director/writer Darren Aronofsky is known for making really intense and usually very surreal films, like Requiem for a Dream, Black Swan, and Mother!. Sometimes he chills a bit to focus on telling a great character based story like in The Wrestler. Caught Stealing is a bit of an oddball choice for […]

Cinéfilos, hoy tengo el honor de recibir a uno de los directores más importantes de Hollywood. Un cineasta que, desde la década de los 90, ha sabido combinar una estética visual inconfundible con st capacidad única para llevarnos a los rincones más profundosa y oscuros de la mente humana.Darren Aronofsky nació para te cd ft contar historias que cambian tu química cerebral por completo. Con

Darren Aronofsky may have scarred you for life with REQUIEM FOR A DREAM, but in 2025, he's jumping genres. CAUGHT STEALING stars Austin Butler as a former baseball player whose life seems to continue to snowball into a series of unfortunate events. In our Spoiler Free review, we'll carefully describe the movie's best and worst moments, helping you determine if it's a grand slam or a strikeout (get it? because of the baseball occupation? we promise this isn't a baseball movie). We'll spell it out for you in (5) easy categories!   Segments: Show Open [00:00] And the Oscar Goes to… [06:01] Scene Stealer [09:55] Show Stopper [11:47] Director's Shoes [15:25] Last Looks [22:25] Show Close [24:56]   Thanks for listening!   Please rate, review, and subscribe if you liked this episode!   For all things Popcorn for Breakfast: https://linktr.ee/popcornforbreakfast   Chat with us on Discord: https://discord.gg/7wGQ4AARWn Follow us on Twitch: https://www.twitch.tv/popcornforbreakfast Subscribe to our YouTube channel: https://www.youtube.com/channel/UCeVJZwPMrr3_2p171MCP1RQ Follow us on Spotify: https://open.spotify.com/show/4HhMxftbuf1oPn10DxPLib?si=2l8dmt0nTcyE7eOwtHrjlw&nd=1 Like us on Facebook: https://www.facebook.com/popcorn4breakfast Follow us on Twitter: @pfb_podcast Follow us on Instagram: @pfb_podcast Follow us on TikTok: https://www.tiktok.com/@popcornforbreakfast? popcorn4breakfast.com Email us: contact@popcorn4breakfast.com   Our original music is by Rhetoric, check them out on Spotify: https://open.spotify.com/artist/44JvjuUomvPdSqZRxxz2Tk?si=hcYoSMLUQ0iPctllftAg2g&nd=1

After an indie one-two punch of Pi and Requiem for a Dream, Darren Aronofsky was riding high as one of the major emerging directors at the turn of the century. For his next film, he would graduate to big budget studio fare with The Fountain, an ambitious and era-spanning science fiction tale of love and death. The scaled-down version … Continue reading "356 – The Fountain"

Darren Aronofsky's films (REQUIEM FOR A DREAM, BLACK SWAN) have been a lot of things but fun probably isn't the first word that comes to mind. Now with CAUGHT STEALING he's using his powers for a different cause. He joins Josh to chat about his journey from provocateur to his latest film. Check out the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Happy Sad Confused patreon here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! We've got discount codes to live events, merch, early access, exclusive episodes, video versions of the podcast, and more! Learn more about your ad choices. Visit megaphone.fm/adchoices

Heath and Andy are back for an all timer! 785.   FREE JACK 784.   KRUSH GROOVE 783.   MEN OF HONOR 782.   THE AMERICAN 781.   THE MAN FROM UNCLE 780.   THE VANISHING (1993) 779.   GRAVITY 778.   DICK TRACY 777.   REQUIEM FOR A DREAM 776.   ROOM Subscribe to … Continue reading "The Film List HK1K 785-776"

He is one of the most disturbing and unapologetic filmmakers in Hollywood, from creating "Requiem for a Dream" to choosing conquistador sci-fi over Batman. But director Darren Aronofsky's new movie — "Caught Stealing," starring Austin Butler as a former MLB prospect — is a departure. Toward optimism; nostalgia; and Cheez. (Because, as any real New Yorker knows, you get everything you want when you no longer want it that much.) Learn more about your ad choices. Visit podcastchoices.com/adchoices

He is one of the most disturbing and unapologetic filmmakers in Hollywood, from creating "Requiem for a Dream" to choosing conquistador sci-fi over Batman. But director Darren Aronofsky's new movie — "Caught Stealing," starring Austin Butler as a former MLB prospect — is a departure. Toward optimism; nostalgia; and Cheez. (Because, as any real New Yorker knows, you get everything you want when you no longer want it that much.) Hosted on Acast. See acast.com/privacy for more information.

He is one of the most disturbing and unapologetic filmmakers in Hollywood, from creating "Requiem for a Dream" to choosing conquistador sci-fi over Batman. But director Darren Aronofsky's new movie — "Caught Stealing," starring Austin Butler as a former MLB prospect — is a departure. Toward optimism; nostalgia; and Cheez. (Because, as any real New Yorker knows, you get everything you want when you no longer want it that much.) Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week Craig and Alex watch Requiem for a Dream! Next week we're watching Awakenings!

Ah les vacances ! Enfin, le moment de se reposer ! Pour tout le monde ? Pas vraiment. Dans une une étude Ifop datant de 2022, on apprenait qu'à la fin de leurs congés, les femmes sont 70% à se trouver se trouver finalement plus fatiguées qu'avant les vacances. Les hommes eux sont 57 % à partager ce ressenti. Et la réalité, c'est que les parents ne partent pas vraiment en vacances. Ils s'occupent juste de leurs enfants dans une ville différente. Ce qu'on devrait appeler la délocalisation parentale est donc globalement une arnaque. Vous croyez que vous partez en vacances, parce que factuellement vous allez dans un endroit super où il fait bon vivre. Un endroit où il y a parfois une piscine, la mer, la montagne, de belles balades à faire, des musées exceptionnels à visiter. Et vraiment, c'est merveilleux tout ça MAIS vous n'allez juste pas en profiter. Tout simplement parce que vous partez “en vacances” avec les personnes certes les plus mignonnes du mondes mais aussi : les pires pour en profiter. Crises, nuits agitées, machines à laver, charge mentale intacte, les vacances épuisent. Mais alors que faire face à ce constat : rêver d'autres ailleurs comme Renée Greusard ou épouser sagement la réalité comme son compagnon Clément ? C'est ce dilemme que la journaliste raconte dans "Les vacances sa mère", mais aussi tout ce qu'il implique comme réflexions sociétales.Description générale "Les vacances sa mère" est une série qui explore les difficultés de la parentalité particulièrement saillantes pendant les vacances, puisqu'elles n'offrent souvent aucune échappatoire.Bibliographie- "Les grandes oubliées : Pourquoi l'Histoire a effacé les femmes" de Titiou Lecoq- Éditions de l'Iconoclaste, 2021 "Avoir des enfants rend-il heureux ?" de Béatrice Kammerer- Sciences humaines 2021 "Le ménage : La fée, la sorcière et l'homme nouveau" de Christine Castelain-Meunier, Stock, 2013 Enregistrements Printemps 2025 Prise de son et montage Renée Greusard Réalisation Annabelle Brouard Mixage Arnaud Forest Illustration Malijo Production ARTE Radio

This week Craig and Alex review Pleasantville and take you through everything else they've been watching this week! Next week we're watching Requiem for a Dream

This week we are back in the 90's with a movie about deadbeat dads and small business women, The Baby-Sitters Club!Tune in next week when our movie will be... Anaconda!-----On August 28, Matt will be in Houston, TX at the Punch Line.Watch "Emily Have You Seen This?" on Mythical Society!Jordan will be in the SF Bay area on Aug 22 for a live Jordan, Jesse, GO! Get your tickets here!Jordan will be at Cape and Cowl Con at Faction Brewing in Alameda on Aug 24. Find out more here!Listen to our latest bonus episode where we talk about the pilot to Frasier! www.Maximumfun.org/join

Jason Fraley celebrates the 25th anniversary of the Wayans Brothers' hilarious spoof “Scary Movie,” which opened in July 2000, while this October will mark the 25th anniversary of the chilling drama "Requiem for a Dream." He discussed both movies with Marlon Wayans back in 2017 when he called in to promote his Netflix original comedy “Naked” and his NBC sitcom “Marlon.”  (Theme Music: Scott Buckley's "Clarion")

Join Alex in a celebration of the past six years of CinemaPsych Podcast content and 100 episodes! It's been a journey, with so many films and guests, and so what better way to highlight that time with a clip show! In this double-sized episode, explore some of my favorite moments and discussions, from great films, actors, and directors to awesome psychology content and critical thinking in art. In addition to the past episode clips, Alex describes the new additions to the website, a reimagined resource for this show and the larger aim of film pedagogy in psychology. The film and clips discussed are grouped by broad psychology category. Of course, if you love what you hear in this super-sized episode, you should check out the rest the show! This episode features clips from the following episodes, in order of appearance: Clip from the first show, affectionately numbered Episode 000: An Introduction & a Memento (2000) for the Future A quick defintion of amnesia and how it is used in the film Memento (2000): Episode 039: Do You Remember the Last Time We Talked About This Film? Memento (2000) An introduction to the emotions in Inside Out (2015), with Dr. Molly Metz: Episode 010: I Need to Remember That Jingle Like I Need An HQ Crisis in My Head! Inside Out (2015) with Molly Metz A brief primer on Gestalt problem solving in Cast Away (2000) by Dr. Marc Klippenstine: Episode 002: Is Being Stranded a Problem? Cast Away (2000) with Marc Klippenstine Social influence and jury deliberations, featuring Dr. Jordan Wagge and Jason Spiegelman, in both versions of 12 Angry Men (1957/1997): Episode 038: Men Can Get Really Angry! 12 Angry Men (1957 & 1997) with Jordan Wagge & Jason Spiegelman Along a similar vein, Dr. Olivia Aspiras explains social conformity and relational aggression in Mean Girls (2004): Episode 005: On Podcasts, We Wear Pink—Mean Girls (2004) with Olivia Aspiras Dr. Christina Ragan "rages" on the 10% brain myth depicted in Lucy (2014): Episode 009: One Neuron, You're Alive; Two Make a Pair! Lucy (2014) Rage Watch with Christina Ragan Exploring Oliver Sacks and when real life meets drama with Dr. KatieAnn Skogsberg in At First Sight (1999): Episode 074: Virgil Picked Up His Hammer and Saw, and Hated it — At First Sight (1999) with KatieAnn Skogsberg How classical and operant conditioning are differentiated in A Clockwork Orange (1971) with Dr. Wind Goodfriend: Episode 001: Come Viddy, Me Little Droogies—A Clockwork Orange (1971) with Wind Goodfriend Learning is either baby steps or flooding in What About Bob? (1991) with Dr. Jordan Wagge: Episode 041: If Freud is the Butt of the Jokes, What Does it Mean? What About Bob (1991) with Jordan Wagge Learn a little about the history of chimp language projects with Dr. Karen Brakke and how they were depicted in Project X (1987): Episode 040: Wait, A Chimp Can Fly A Plane?! Project X (1987) with Karen Brakke Get a quick rundown of the developmental stages of each of the Von Trapp children from The Sound of Music (1965) with Dr. Jill Swirsky: Episode 092: Developmental Psychology… In Song Form! The Sound of Music (1965) with Jill Swirsky Learn a little something about Organizational Citizenship Behaviors (OCBs) in Office Space (1999) with Dr. Ed Hansen: Episode 047: I Wouldn't Say I've Been Missing Work—Office Space (1999) with Ed Hansen Learn the opposite of OCBs with Counterproductive Worplace Behaviors (CWBs) in Clerks (1994) with Nic Baldwin: Episode 059: He Wasn't Even Supposed to Be There Today! Clerks (1994) with Nic Baldwin Explore the history of L-dopa and how experimenting with it changed the lives of so many patients in Awakenings (1990) with Dr. Sara Bagley: Episode 033: With L-Dopa, You Too Can Do the Hokey Pokey (But Only if You're Rigid)—Awakenings (1990) with Sara Bagley Get a great psychological definition of addiction from Dr. Melissa Maffeo as portrayed in Requiem for a Dream (2000): Episode 078: Drugs are Bad, MMKay? Requiem for a Dream (2000) with Melissa Maffeo Sports and stats are a dream made in heaven, at least in Moneyball (2011) and to Dr. Jess Hartnett: Episode 060: Baseball is a Game of Statistics! Moneyball (2011) with Jessica Hartnett Hypothesis testing is the core feature of Groundhog Day (1993), as devised by Dr. Jordan Wagge: Episode 083: Behaviorism and Research Methods on Repeat? Sign Me Up! Groundhog Day (1993) with Jordan Wagge Explore the reasons why satire might be a good avenue for discussing hard topics, like the conversion therapy in But I'm a Cheerleader (1999) with Drs. Molly Metz and Will Ryan: Episode 045: A Juicy 90s Satire of Conversion Therapy—But I'm a Cheerleader (1999) with Molly Metz & Will Ryan Learning about the true definition of "gaslighting," its resurgence into the lexicon, what students think of it now and its origin in Gaslight (1940) with Dr. Wind Goodfriend: Episode 089: You Haven't Listened to this Episode, You're Forgetful — Gaslight (1944) with Wind Goodfriend Explore the rivalry of Sigmund Freud and Carl Jung, two heavyweight sin early Western psychology, and this rivalry's portrayal in A Dangerous Method (2011) with Dr. Sheila Thomas: Episode 064: Sex, Drugs, and Psychoanalysis? A Dangerous Method (2011) with Sheila Thomas Discover how accurate the depiction of the 1970s was in The Stanford Prison Experiment (2015) with Dr. Keli Braitman and the late, great Dr. Jen Simonds: Episode 044: Wait, Zimbardo Didn't Do An Experiment? The Stanford Prison Experiment (2015) with Keli Braitman and Jen Simonds In a final bonus segment, Alex shares one of his most favorite moments from the past six years, with a quick introduction to how the music of Star Wars (1977) was intended to make you feel with Dr. Jim Davies and Hollywood composer Joe Kraemer: Episode 068: This Music Makes Me Feel… The Psychology of Star Wars (1977) Music with Jim Davies & Joe Kraemer Please leave your feedback on this post, the main site (cinemapsychpod.swanpsych.com), on Facebook (@CinPsyPod), or Threads/Instagram (@cinemapsych_podcast). We'd love to hear from you! Don't forget to check out our Paypal link to contribute to this podcast and keep the lights on! Don't forget to check out our MERCH STORE for some great merch with our logo and other designs! Legal stuff: 1. All film clips are used under Section 107 of Title 17 U.S.C. (fair use; no copyright infringement is intended). 2. Intro and outro music by half.cool ("Gemini"). Used under license. 3. Film reel sound effect by bone666138. Used under license CC-BY 3.0. Episode Transcription Go to this link to read a transcript generated by Whisper AI Large V3 Model. Disclaimer: It is not edited and may contain errors!

"Don't do drugs, kids!" The constant reminder bashed into our heads as children by adults who were most likely doing drugs themselves, the D.A.R.E. program, parents, and PSA commercials. I think most of us can agree that these many attempts made a majority of us roll our eyes. Incoming Darren Aronofsky basically said, "Oh, you want to see how scary being addicted to drugs actually is? Bet." Drugs...it can ruin your dreams, which can force you to have a Requiem For a Dream. Next movie: Se7en ————————————————————— We officially have ⁠⁠⁠merch⁠⁠⁠! Shop your little demonic heart! Want to keep the horror chats alive? Do you want to join a super awesome community that loves the genre and Knight Light? Want to have access to exclusive content? You should join our ⁠⁠⁠Discord⁠⁠⁠!  For as little as $2 a month, you can watch the video podcast version and participate in polls to choose the film that we cover to conclude the month! —————————————————————  Sign up on our Patreon to access our Patreon-exclusive shows. Sign up for a 7-day trial, and if you like what we offer, stick around! Want to be a part of the growth of Knight Light? Please support us at these links! ⁠⁠⁠PATREON⁠⁠⁠ | ⁠⁠⁠MERCH⁠⁠⁠ | ⁠⁠⁠X⁠⁠⁠ | ⁠⁠⁠DISCORD⁠⁠⁠ | ⁠⁠⁠INSTAGRAM⁠⁠⁠ | ⁠⁠⁠PRINCE⁠⁠⁠ | ⁠⁠⁠FREDDY⁠⁠⁠ | ⁠⁠⁠SIDNEY Learn more about your ad choices. Visit megaphone.fm/adchoices