Podcasts about scorsese

It's been a bit since we had an old-fashioned movie disagreement but this one was a bit polarizing. Likely because this was a real curveball from two of our faves, Scorsese and De Niro. The intensity and emotional weight is there, but it's wrapped in a truly bizarre, sinister comedy that's just as haunting as it is funny. This movie became much more important after its release, and it sticks with you over time, but you'll have to see for yourself if you think it's worth it or not. Just give us one shot on the air and then we'll gladly go off to jail as we watch Paper Moon on Have a Good Movie! You can email us with feedback at macintoshandmaud@gmail.com, or you can connect with us on BlueSky! If you like the podcast, please subscribe, rate and review the show on your favorite podcatcher, and tell your friends. Intro and outro music taken from the Second Movement of Ludwig von Beethoven's 9th Symphony. Licensed under an Attribution-NonCommercial-NoDerivs 3.0 Hong Kong (CC BY-NC-ND 3.0 HK) license. To hear the full performance or get more information, visit the song page at the Internet Archive. Excerpt taken from the song “The Finer Things,” written by Donald Fagen and performed by David Sanborn as part of the soundtrack to The King of Comedy. Copyright 1983 Warner Bros. Records Inc. Excerpt taken from the piece “Burlesque”, written and composed by Mike Figgis for his film Leaving Las Vegas. Copyright 1995 Initial Productions, S.A.

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

Thaddeus and Chauncey suss out the early shrimp cocktail rumors at the NFL combine including where AJ Brown might get traded to, who might sign Tyreek Hill, and who might trade for Maxx Crosby. They also talk about the Rams' coaching staff, what they could do at corner, and if they make any big swings. Thaddeus also figures out what the Lions do with limited cap space. After, they get into the Dodgers pitching staff as Spring Training begins. Later, they review the trailers for "Normal", "Mortal Kombat II", "Toy Story 5", "Lee Cronin's The Mummy", 'Mandalorian and Gorgu", and Chauncey says good-bye to Robert Duvall and Tom Noonan. Thaddeus then preview "WWE Elimination Chamber". Finally, they share what they watched this week including "Vanderpump Rule", "Love Island", "The Traitors", "Will Trent", "Mel Brooks: The 99 Year Old Man", "Mr. Scorsese", "Ghosts", "Animal Control'","Going Dutch", "The Pitt", "Predator Badlands", "Monarch: Legacy of Monsters", "Jeopardy", and more. LA Podfidential is part of the LAFB Podcast Network Follow us on Blue Sky: @bigchuanc64.bsky.social, Insta: @bigchaunc64, and Letterbox: ChaunceyT Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week we bring you Bill Duke's stylization of the war between NYC's organized crime factions during the 1930s but from a Black perspective. Centered around Bumpy Johnson and his work with Madame St Claire's syndicate in Harlem, this film delivers everything white folks love to praise Scorsese et al for. Plus we give our rankings for the month.US-funded war on Falesteen never endedThe Sameer Project gazafunds.orglifeline4gaza.com+++++Outro: Vanessa Williams performing Save The Best for Last

Ваш любимый канал «ВОТ ЭТО английский» — теперь в аудиоформате!Попробуйте и научитесь понимать английский на слух с удовольствием

Charlotte Henry and Chuck Joiner discuss major Apple TV news, starting with the tragic death of Tehran co-creator Dana Idan. They then discuss MLS Season Pass returning with improved access, including  the implications of reduced paywall friction and recap viewer options. Finally, Apple's sports distribution deal via EverPass and award wins tied to the F1 film highlight the evolution and excellence of the streaming services's options. Hijack stands out as a specific example, with character depth bringing a different dimension to a familiar genre.  Show Notes: Chapters: 00:22 Show setup and Apple TV's busy news cycle00:55 Tehran co-creator death and production context05:40 MLS returns and season/timing discussion07:09 Messi vs. Son, coverage notes, and commentary quirks08:08 Dropping the extra MLS paywall and accessibility debate10:16 Messi's deal and “piece of the action” question13:30 Apple TV match recaps and highlights experience16:04 Deal changes, growth expectations, and subscription fatigue21:15 Youth soccer growth and the “round ball” future23:25 EverPass distribution deal and Apple's live-sports strategy26:27 Broadcast TV surrender and the new streaming reality30:29 F1 sound-team awards and prestige momentum35:13 Hijack season talk and what makes it work39:59 Wrap-up and where to follow Links: Tragedy as Tehran Co-Creator Found Deadhttps://theaddition.net/news/tragedy-as-tehran-co-creator-found-dead/ EverPass in Apple TV distribution deal https://www.sportcal.com/newsletters/everpass-in-apple-tv-distribution-deal/F1: The Movie' sound team get a weekend of awardshttps://appleinsider.com/articles/26/02/23/f1-the-movie-sound-team-get-a-weekend-of-awardsApple's “The Studio” and “Mr. Scorsese” score at the 78th Annual Directors Guild Awardshttps://www.apple.com/uk/tv-pr/news/2026/02/apples-the-studio-and-mr-scorsese-score-at-the-78th-annual-directors-guild-awards/ Guests: Charlotte Henry is a media junkie, covering how Apple is not just a revolutionary tech firm, but a revolutionary media firm. She is based in London, writes and broadcasts for various outlets, and is the author of Not Buying It, an examination of fake news. You can find her on her The Addition blog, her podcast, in her The Addition newsletter on substack, and on Twitter, Facebook, Instagram and TikTok. Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Game of Thrones er tilbage... Eller nej, GOT-universet er tilbage! Og Kasper er begejstret. Modsat er Stranger Things slut, og det bliver der langt om længe samlet op på. Frederik har det vildt over den nye gyser Together, og dokumentaren 1975 hvor der zoomes ind på USA i 1970'erne, og hvordan filmene fra den tid afspejlede et af de vildeste årtier i amerikansk historie. Frederik og Kasper har også begge set Mr. Scorsese, og derfor falder snakken på, hvad der egentlig er mesterens bedste film. 03.10: A Knight of the Seven Kingdoms 08.15: Stranger Things S5 17.20: Together 23.40: Mr. Scorsese 34.30: Breakdown: 1975

Charlotte Henry and Chuck Joiner discuss major Apple TV news, starting with the tragic death of Tehran co-creator Dana Idan. They then discuss MLS Season Pass returning with improved access, including  the implications of reduced paywall friction and recap viewer options. Finally, Apple's sports distribution deal via EverPass and award wins tied to the F1 film highlight the evolution and excellence of the streaming services's options. Hijack stands out as a specific example, with character depth bringing a different dimension to a familiar genre.  Show Notes: Chapters: 00:22 Show setup and Apple TV's busy news cycle 00:55 Tehran co-creator death and production context 05:40 MLS returns and season/timing discussion 07:09 Messi vs. Son, coverage notes, and commentary quirks 08:08 Dropping the extra MLS paywall and accessibility debate 10:16 Messi's deal and "piece of the action" question 13:30 Apple TV match recaps and highlights experience 16:04 Deal changes, growth expectations, and subscription fatigue 21:15 Youth soccer growth and the "round ball" future 23:25 EverPass distribution deal and Apple's live-sports strategy 26:27 Broadcast TV surrender and the new streaming reality 30:29 F1 sound-team awards and prestige momentum 35:13 Hijack season talk and what makes it work 39:59 Wrap-up and where to follow Links: Tragedy as Tehran Co-Creator Found Dead https://theaddition.net/news/tragedy-as-tehran-co-creator-found-dead/ EverPass in Apple TV distribution deal https://www.sportcal.com/newsletters/everpass-in-apple-tv-distribution-deal/ F1: The Movie' sound team get a weekend of awards https://appleinsider.com/articles/26/02/23/f1-the-movie-sound-team-get-a-weekend-of-awards Apple's "The Studio" and "Mr. Scorsese" score at the 78th Annual Directors Guild Awards https://www.apple.com/uk/tv-pr/news/2026/02/apples-the-studio-and-mr-scorsese-score-at-the-78th-annual-directors-guild-awards/ Guests: Charlotte Henry is a media junkie, covering how Apple is not just a revolutionary tech firm, but a revolutionary media firm. She is based in London, writes and broadcasts for various outlets, and is the author of Not Buying It, an examination of fake news. You can find her on her The Addition blog, her podcast, in her The Addition newsletter on substack, and on Twitter, Facebook, Instagram and TikTok. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

This week on Movie Mistrial, we dive into the wild excess, dizzying ambition, and unrestrained debauchery of Martin Scorsese's The Wolf of Wall Street.The Wolf of Wall Street is a high-octane blast of filmmaking, powered by Leonardo DiCaprio's ferocious performance and Scorsese's razor-sharp direction. Its electric energy, dark humor, and satirical bite make it an unforgettable ride through the corrupt heart of American capitalism, exposing greed with both style and swagger.While undeniably entertaining, the film's relentless excess and provocative tone have sparked debate. Some argue it glamorizes the very behavior it critiques, and its lengthy runtime can feel indulgent—mirroring the characters' own over-the-top lifestyles.Join us as we break down the madness and morality of The Wolf of Wall Street. Is it a brilliant satire with something to say—or an exercise in cinematic hedonism that gets lost in the party?Connect with us and share your thoughts:Twitter: http://tiny.cc/MistrialTwitter

Hay historias que parecen sacadas de un guion de Scorsese pero que ocurrieron en unos estudios de grabación de Barcelona. Esta es una de ellas. David Cuevas, autor de la primera y única obra que recoge la historia no contada de la música dance comercial en España —Tony Peret y sus herman@s en el ritmo—, nos descubre el reverso tenebroso de aquellos megamixes que vendieron millones de discos y que todos tarareábamos en los 80 y 90. Detrás de los Max Mix, los Bolero Mix o los Máquina Total había un negocio multimillonario plagado de amenazas con cortarte las piernas, revólveres sobre la mesa, artistas explotados durante jornadas de 18 horas y, en el episodio más surrealista de todos, una banda de sicarios mexicanos conocidos como "los mocha orejas" contratados para secuestrar y asesinar a un socio díscolo. Desde los humildes orígenes de unos maleteros que vendían vinilos en el maletero del coche hasta las guerras entre Max Music y Blanco y Negro, pasando por la creación del mítico Dream Team de los megamixers y las ventas que hacían palidecer a Madonna y Michael Jackson en las listas españolas. Una historia real que supera con creces cualquier ficción. Bienvenidos al lado más extraño de la pista de baile. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Aussi loin qu'il se souvienne, John Gotti a toujours voulu être un gangster. L'introduction de ce personnage important dans l'Histoire de la mafia aux Etats-Unis est une référence volontaire à la réplique de Ray Liotta dans le film de Martin Scorsese « Les Affranchis ». Car l'histoire de John Gotti et de la famille Gambino a tous les codes d'un bon film de gangster. Quoi de plus logique, puisque souvent, les personnages hauts en couleur qui nous sont présentés au cinéma et à la télévision sont directement inspirés de véritables membres ou de dirigeants de la mafia. Au sein d'une famille, lorsqu'il s'agit de gérer les affaires, on n'hésite pas à se tirer dans les pattes pour arriver premier à cette ascension vers le pouvoir...Crimes • Histoires Vraies est une production Minuit. Notre collection s'agrandit avec Crimes en Bretagne, Montagne et Provence.

Erik Childress and Peter Sobczynski take you through another week in physical media and it's a pretty great week. You can get one of Scorsese's first, Richard Pryor's last concert film and even some early Matt LeBlanc. Peter shows some fondness for Lori Petty's bizarre comic book adaptation and even a little Troma. One of Erik's “Why is this not on blu-ray” choices gets its debut courtesy of Synapse. 20 years before Jurassic Park there was the original Michael Crichton amusement park. The pair debate the legacy of a “prescient” media satire with the late, great Robert Duvall. Finally, not only can you get perhaps the best Tarzan film ever made but John Boorman's incredible telling of the King Arthur legend gets what will be amongst the great upgrades of the year.3:35 - Criterion (Network (4K))21:26 - Warner Archive (Tarzan and His Mate)33:03 - Severin (The Ghost (4K), Retribution, Lookin Italian)49:15 - Cinematographe (Boxcar Bertha 4K)59:43 - Synapse (T.A.G. The Assassination Game)1:09:50 - Sony (Richard Pryor: Here and Now (4K))1:15:19 - Vinegar Syndrome (Tank Girl (4K), Terror Firmer (4K))1:36:11 - Arrow (Westworld (4K), Excalibur (4K))CLICK ON THE FILMS TO RENT OR PURCHASE AND HELP OUT THE MOVIE MADNESS PODCAST OR BUY FROM MOVIEZYNGBe sure to check outErik's Weekly Box Office Column – At Rotten TomatoesCritics' Classics Series – At Elk Grove Cinema in Elk Grove Village, ILChicago Screening Schedule - All the films coming to theaters and streamingPhysical Media Schedule - Click & Buy upcoming titles for your library.(Direct purchases help the Movie Madness podcast with a few pennies.)Erik's Linktree - Where you can follow Erik and his work anywhere and everywhere.The Movie Madness Podcast has been recognized by Million Podcasts as one of the Top 100 Best Movie Review Podcasts as well as in the Top 60 Film Festival Podcasts and Top 100 Cinephile Podcasts. MillionPodcasts is an intelligently curated, all-in-one podcast database for discovering and contacting podcast hosts and producers in your niche perfect for PR pitches and collaborations.USE COUPON “MOVIEMADNESS” TO GET 10% OFF ALL DUBBY PRODUCTS SIGN UP FOR AUDIBLE This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit erikthemovieman.substack.com

Estas son las noticias del cine, series y cultura pop que no te puedes perder.

This week on ITCAF the guys break down a massive week in Hollywood, from the losses of Robert Duvall and Eric Dane to the WGA strike and the high-stakes Warner Bros. Discovery sale. They also dig into House of the Dragon Season 3, Toy Story 5, Scorsese jumping into the Star Wars universe, Bad Bunny's first leading film role, TV reboots, pilot season chaos, and more. Plus our Top 5 Favorite 2026 Trailers, the latest box office numbers, and IMDb's top trenders.Chapters:0:00 Opening Monologue 0:52 Opening Music1:13 Show Open3:00 Eric Dane4:21 Robert Duvall 5:52 2026 Deaths So Far7:12 WGA Strike9:52 WBD Sale15:43 Disney News23:20 Fox News25:58 Warner Brothers News29:00 Paramount News33:03 NBC News35:38 Sony News37:05 Lionsgate News38:40 Amazon Prime News40:30 Netflix News42:34 Top 2026 Trailers56:49 Box Office1:00:30 IMDb Pro Trending1:01:01 Wrap UpFollow Us Here:Website: https://crazyantmedia.comMerchandise: https://crazyantmedia.com/crazy-ant-merchandiseOur first film, Deadlines: https://crazyantmedia.com/deadlinesPodcasts:ITCAFpodcast:Apple Podcast: https://podcasts.apple.com/us/podcast/itcafpodcast/id1644145531Spotify: https://open.spotify.com/show/1tf6L0e7vO9xnVtWaip67s?si=tYPrIVr_R36qpYns4qeZ8gEverything's Okay Podcast:Apple Podcast: https://podcasts.apple.com/us/podcast/everythings-okay/id1664547993Spotify: https://open.spotify.com/show/0uMm80MW4K50f8uURgVUYp?si=9mF7mwf_Qe-ZDqKBhEovMgSocial Media:ITCAFpodcastTwitter: https://twitter.com/itcafpodcast?s=21&t=q0HdFq3CPkXBzVYHYdJW6wInstagram: https://instagram.com/itcafpodcast?igshid=YmMyMTA2M2Y=Tiktok: https://www.tiktok.com/t/ZTRLQ7hHn/Everything's OkayTwitter: https://twitter.com/everythingsokp?s=21&t=ckQqBvyxz3lYqKHLrI6peAInstagram: https://instagram.com/everythingsokp?igshid=YmMyMTA2M2Y=Crazy Ant MediaTwitter: https://twitter.com/crazyantmedia?s=21&t=q0HdFq3CPkXBzVYHYdJW6wInstagram: https://instagram.com/crazyantmedia?igshid=YmMyMTA2M2Y=Tiktok: https://www.tiktok.com/t/ZTRLQP1c1/Logan (Left)Twitter: https://twitter.com/jloganaustin?s=21&t=ckQqBvyxz3lYqKHLrI6peAInstagram: https://instagram.com/jloganaustin?igshid=YmMyMTA2M2Y=Tiktok: https://www.tiktok.com/@j.loganaustin?_t=8ZMB9Hp1yxf&_r=1Dustin (Right)Twitter: https://twitter.com/crazyantceo?s=21&t=ckQqBvyxz3lYqKHLrI6peAInstagram: https://instagram.com/crazyantceo?igshid=YmMyMTA2M2Y=Tiktok: https://www.tiktok.com/@crazyantceo?_t=8ZMB84k7BUM&_r=1

This week John Fardy talks to the director, writer and actress Rebecca Miller about everything from 'Mr. Scorsese' to her role as a judge for the Avolon World Cinema Award category at this year's DIFF. John also talks to best friends and lead actresses Susan Stanley and Sarah Golberg about the second season of 'SisterS'. Plus, Chris Wasser reviews the week's new cinema releases including 'If I Had Legs I'd Kick You'.

On this episode of Latinos Out Loud, host, Rachel La Loca chats with Emmy-nominated writer, actor, and storyteller Rick Najera. Rick has partnered with publisher Jacqueline S. Ruiz of ⁠Fig Factor Media⁠ to launch The Latino Family Chronicles—a book series highlighting multigenerational Latino families who have shaped America. The first title, ⁠Love, Truth and Loyalty,⁠ follows the d'Escoto family's journey from Nicaragua to the U.S., blending heartfelt storytelling with cultural insight. (This family also has Chicago roots!) The two sketch comedy lovers also chat about Rick writing on iconic sketch show, In Living Color, the importance of authentic storytelling and more. Follow ⁠Rick⁠   / ricknajera   Follow ⁠Rachel⁠   / rachellaloca   Follow ⁠Latinos Out Loud⁠   / wearelatinosoutloud   And while you're at it, follow the yellow brick road :) MORE ON RICK: Rick Najera has received numerous industry awards for his work. like Broadway in his award-winning, self-penned stageplay, Latinologues, directed by comedy legend Cheech Marin. staff writer on the groundbreaking urban comedy series, In Living Color, for which he wrote more than 30 episodes. Najera went on to write for Townsend TV (10 episodes), MAD TV (47 episodes), East Los High – a Hulu original (21 episodes) and more. He penned the feature film Nothing Like the Holidays starring Debra Messing, Alfred Molina, John Leguizamo and Luis Guzman, which won him an ALMA Award. Najera learned from great writers like Spike Lee, Quentin Tarantino and Scorsese to “write what you know' and has been a pioneer in Hollywood telling his American experience, from a Latino perspective. #LatinosOutLoud #Podcast #Comedy #Writers #RickNajera

Recorded - 2/15/2026 On Episode 359 of the Almost Sideways Movie Podcast, we dive into another Pinot winner for Best Picture. Where does Killers of the Flower Moon rank in Scorsese's filmography? We also review two big releases from Valentine's Day weekend. Here are the highlights:What We've Been Watching(5:00) "Miss Julie" & "Nirvanna the Band the Show the Movie" - Todd Reviews(12:30) "Jackie" & "Emma" - Terry Oscar Anniversary Reviews(21:10) "The Love That Remains" & "The Pitt" - Zach Reviews(28:20) "The Worst Person in the World" & "Cold Storage" - Adam Reviews(37:30) "Wuthering Heights" - Featured Review(47:00) "Crime 101" - Featured Review"KILLERS OF THE FLOWER MOON" 2023 PINOT BEST PICTURE DEEP DIVE(55:20) "Killers of the Flower Moon" Trivia(1:09:20) First Impressions(1:36:50) Mt. Rushmore: Native American Movies(1:49:00) Recasting "Killers of the Flower Moon"(2:13:30) Highest WAR, Worst Performance, Minor Character Triumvirate(2:27:40) Tripod of Depravity, Gripes and Conspiracies, Best Scene(2:52:10) LVP, MVP, Quote of the DayFind AlmostSideways everywhere!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠almostsideways.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/AlmostSidewayscom-130953353614569/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AlmostSideways Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: @almostsideways⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Terry's Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: @almostsideterry⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zach's Letterboxd⁠⁠⁠⁠⁠⁠⁠⁠⁠: https://letterboxd.com/pro_zach36/Todd: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Too Cool for Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Adam's Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: @adamsideways⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/almostsideways-podcast/id1270959022⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/7oVcx7Y9U2Bj2dhTECzZ4m⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCfEoLqGyjn9M5Mr8umWiktA/featured?view_as=subscriber⁠⁠⁠⁠⁠⁠

Welcome to another fun-filled episode of Geeks Corner! In this episode, hosts Mr. Daps and Caitie Bear dive into a variety of engaging topics, from the mystery of Martin Scorsese's voice cameo in The Mandalorian & Grogu to the delicious offerings of the Lunar New Year at Disneyland. Join us as we explore the highlights and the delightful aspects of Disney fandom.Main Content:Martin Scorsese in The Mandalorian:The episode kicks off with a surprising revelation: Martin Scorsese lends his voice for a cameo appearance in The Mandalorian. Mr. Daps and Caitie ponder whether this cameo will be credited, drawing comparisons to Daniel Craig's uncredited role. With the buzz already circulating on platforms like Wikipedia and IMDb, fans are eager to spot Scorsese's unique voice in the series.Engaging with the Audience:Caitie reminds listeners to subscribe to their YouTube channel, emphasizing the importance of community engagement. They encourage fans to visit Daps Magic and participate in the chat, highlighting how much they value audience interaction. This sense of community is a hallmark of Geeks Corner, making every listener feel like a part of the conversation.Lunar New Year Celebration:As the hosts transition into discussing the Lunar New Year, they share their experiences tasting various dishes at Disneyland. With a special sip and savor pass, they sampled six different items, sharing their favorites. Caitie expresses her longing for comforting noodles during the rainy weather, while Mr. Daps reminisces about the five-spice popcorn chicken that stole his heart. Their candid discussion about food cravings is relatable and adds a personal touch to the episode.The Muppets Phenomenon:The conversation takes an exciting turn as they discuss the Muppets and their recent success, garnering over eight million unique viewers shortly after debuting on Disney+. Mr. Daps and Caitie explore the possibility of a new Muppet series and speculate about potential guest appearances. They brainstorm exciting names, from Tom Hanks to Anne Hathaway, imagining how these stars would fit into the whimsical world of the Muppets. This segment showcases the hosts' deep affection for Muppets and their desire to see the franchise thrive.Returning Attractions:The episode also touches on the return of classic Disneyland attractions, mentioning "Great Moments with Mr. Lincoln" and how they are now running concurrently with "Walt Disney: A Magical Life." The hosts discuss the operational challenges of alternating shows and the excitement of seeing beloved characters come back to life on stage. Their insights provide a glimpse into the behind-the-scenes workings of Disneyland, adding depth to the listener's understanding of the park's operations.THE WEEK IN GEEKHappy Lunar New Year Year of the Horse - Favorite Foods with Sip & Savor https://dapsmagic.com/2026/02/a-delicious-lunar-new-year-sip-savor-pass-day-at-disney-california-adventure/ The Muppets Show Has 8 Million Unique Viewers In About a Week https://dapsmagic.com/2026/02/kermit-the-frog-reveals-8-million-viewers-watch-the-muppet-show-in-new-video/ Great Moments with Mr. Lincoln Returns to Opera House https://dapsmagic.com/2026/02/walt-disney-a-magical-life-and-great-moments-with-mr-lincoln-now-being-shown-in-rotation-at-disneyland/ ART Going Away, Toy Story Parking Lot Transportation is Not https://dapsmagic.com/2026/02/art-going-away-in-anaheim-toy-story-parking-lot-transportation-is-not/ New Trailer Released for The Mandalorian & Groguhttps://dapsmagic.com/2026/02/new-trailer-and-poster-released-for-the-mandalorian-grogu/ 

Legendary actor and storyteller Barry Corbin chats with Trey Elling, prior to performing his live show, "An Evening with Barry Corbin", to kick off the Lone Star Cowboy Poetry Gathering in Bastrop on February 18th. Topics include:Shakespeare (0:00)Being Texan (9:31)No Country For Old Men (12:39)Tommy Lee Jones (20:07)Urban Cowboy (22:03)Stir Crazy (30:36)Actors as directors (36:25)Working with Scorsese (40:01)An ode to storytelling (45:25)

The first full trailer for The Mandalorian and Grogu movie was released on StarWars.com (and Disney and Lucasfilm social media websites) on February 17th, 2026. There's footage no one has seen before, not even those who attended Star Wars Celebration in Japan last year! That's great news, because the marketing team heard plenty of boos from the crowds watching the NFL's “big game” because the beer-like commercial homage didn't have much and it didn't even point to a more complete look online.Some of the revelations from the video are interesting, like a possible new mentor for Grogu, a “deck of cards” like bounty hunting quest, and a sweet new pram for “Baby Yoda” toward the end. Also, was that Marty voicing that Ardennian food trucker? Sources say it was indeed Scorsese!We have a closer look at the Hutts and even hear one speak. The resurging ex-Imperials set a meeting in a snowy place, Din Djarin does indeed seem to face off against ‘ol “Stinky”, and we once again see the Anzellans, some Dejarik holo chess pieces come to life, and a new serpent or dragon species to stoke our fears of wading in dark water. Yo! Embo! Is that you? I have the feeling he won't last long in the movie. Movie! Yes! Movie, not show! It's coming soon! A little over three months to go!The movie releases May 22nd, 2026 and though there are sure to be more trailers as it gets closer, this will probably be our last time reviewing it before we see it. Stay tuned to our social media and make sure to check back in with us for future podcasts. We released a #StarWarsPodcastDay2026 episode earlier this month and have monthly news updates. We plan on a special episode for May the Fourth, and we have coverage of all three seasons of The Mandalorian show from Disney Plus in our archives. There's much more, too, like Andor coverage, Ahsoka, The Book of Boba Fett, Obi-Wan Kenobi, and even the first season of Visions.  We plan on continuing to cover live action Star Wars shows, like Ahsoka's second season, but if you're looking for commentary about The Acolyte, well, we were taught not to say anything if you can't say something nice. For that show, we can't.Despite being a special episode of This is the Way Podcast, you can still join in the discussion by sending a comment to the email address we reveal in our podcasts. Including a good subject line will help set you apart from spam. There are other ways to interact with This is the Way Podcast, like via ⁠⁠⁠Instagram⁠⁠⁠ or 'X' (@ThisistheWayPod) or on Facebook, Spotify or here on YouTube, but we also have a Discord channel. May the Force be with us!

En este episodio repasamos uno de los títulos más importantes del cine norteamericano moderno como es “Taxi driver”, la película de Martin Scorsese protagonizada por Robert De Niro y Jodie Foster entre otros. Para celebrar el regreso al cine de Daniel Day Lewis después de ocho años retirado del mismo, le hemos echado un vistazo al capítulo de nuestra “Enciclopedia curiosa del cine” dedicado a este actor tan particular. Charlamos con la compositora nominada al Goya este año Carla F. Benedicto y en la sección “En pos de la aventura” tenemos nuestra versión favorita de las muchas que se han rodado sobre la famosa novela de Alejandro Dumas: “Los tres mosqueteros, los diamantes de la reina”, dirigida por Richard Lester en 1973 con un reparto multiestelar.

Martin Scorsese's masterpiece about loneliness, urban decay, and vigilantism is 50 years old this month. We're revisiting archival interviews about ‘Taxi Driver' with Scorsese, screenwriter Paul Schrader and actors Harvey Keitel, Cybill Shepherd, Jodie Foster, and Al Brooks.Also, film critic Justin Chang reviews 'Pillion.'Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Martin Scorsese's masterpiece about loneliness, urban decay, and vigilantism is 50 years old this month. We're revisiting archival interviews about ‘Taxi Driver' with Scorsese, screenwriter Paul Schrader and actors Harvey Keitel, Cybill Shepherd, Jodie Foster, and Al Brooks.Also, film critic Justin Chang reviews 'Pillion.'Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Daniel and Harry welcome Nabil Ayers - music industry entrepreneur, podcaster, musician, and author to discuss Martin Scorsese's 1985 dark comedy "After Hours" starring Griffin Dunne, Rosanna Arquette, and Linda Fiorentino.They discuss SoHo in the 1980s, Scorsese's exploration of temptation and punishment, how this film fits into the "Yuppie Nightmare" canon of films alongside others like "Fatal Attraction" and "American Psycho,” and how tough it was to get into a walkup apartment when the buzzer wasn't working.As always, they end the episode by ranking the film's Jewishness in terms of its cast & crew, content, and themes.IMDb - https://www.imdb.com/title/tt0088680/Trailer - https://youtu.be/LQRawYZl-lsJoe Frank's NPR Monologue that partially inspired "After Hours"- https://youtu.be/MIG636ri4r8Check out Nabil's podcast, IdentifiedCheck out Nabil's book - My Life in The SunshineConnect with Jews on Film online:Instagram - https://www.instagram.com/jewsonfilm/Twitter - https://twitter.com/jewsonfilmpodYouTube- https://www.youtube.com/@jewsonfilmTikTok - https://www.tiktok.com/@jewsonfilmpod

El periodista José Ignacio Wert expone en su sección en La Brújula su análisis de esta película en la antesala de la gala de los premios Oscar.

Listomania wraps up with Part 1 of our Top 10 favorite TV shows of 2025, featuring special guest Dane DeBrunner! Stay tuned for part 2.TIMECODES:Intro, the year in TV - 0:00Poker Face - 7:50It's Always Sunny in Philadelphia - 13:12Adolescence - 20:29Mr. Scorsese - 28:07Slow Horses - 32:28The Last of Us - 41:38The White Lotus - 51:24Severance - 59:47Invincible - 1:11:38Everybody's Live with John Mulaney - 1:19:38Haha You Clowns - 1:27:48Common Side Effects - 1:47:38The Studio - 1:57:27

This episode originally aired June 18, 2024 There are few actors left who embody the ethos of old Hollywood. Sean Penn is one of them. We got together at his place for a face-to-face exploration of Sean’s life and career. We discussed how his childhood in Malibu helped him create the iconic Jeff Spicoli, and how his first acting coach still shapes him today. We speak of his friends — Brando, DeNiro, and Scorsese — legends whose reputations, work ethic, and willingness to keep learning shaped their characters and their lives. Spending an hour in his presence is a masterclass in the pursuit of being a better creator, and a better human. Follow me on Instagram at @davidduchovny. Stay up to date with Lemonada on Twitter, Facebook and Instagram at @LemonadaMedia. Joining Lemonada Premium is a great way to support our show and get bonus content. Subscribe today at bit.ly/lemonadapremium. And if you want to continue the conversation with other listeners, join the My Lemonada community at https://lemonadamedia.com/mylemonada/ For a list of current sponsors and discount codes for this and every other Lemonada show, go to lemonadamedia.com/sponsors.See omnystudio.com/listener for privacy information.

'Tiburón', 'Todos los hombres del presidente', 'El Padrino II', 'La conversación', 'Network', 'Tarde de perros'... El año 1975 no fue un año cualquiera para la taquilla estadounidense. La concentración inusual de películas más o menos rompedoras y revolucionarias iba a ser buen reflejo del convulso momento del país de Hollywood, pero también de una coyuntura muy creativa y atrevida para la industria, con la irrupción definitiva de cineastas como Spielberg, Scorsese o Coppola. ¿Por qué se puso de moda el cine de catástrofes? ¿Cómo influyeron el caso Watergate o la guerra de Vietnam en el pesimismo y la oscuridad de la taquilla? ¿Y qué condiciones comerciales y artísticas confluyeron para la coincidencia, solapada, de algunas de las películas que aún consideramos entre las mejores de toda la historia? Lo debatimos con Carlos Alsina, Rubén Amón, Rosa Belmonte, Guillermo Altares, Sergio del Molino y Nacho Vigalondo. Además, Rosa ya ha visto 'Hamnet', la adaptación de la novela superventas de Maggie O'Farrell.

'Tiburón', 'Todos los hombres del presidente', 'El Padrino II', 'La conversación', 'Network', 'Tarde de perros'... El año 1975 no fue un año cualquiera para la taquilla estadounidense. La concentración inusual de películas más o menos rompedoras y revolucionarias iba a ser buen reflejo del convulso momento del país de Hollywood, pero también de una coyuntura muy creativa y atrevida para la industria, con la irrupción definitiva de cineastas como Spielberg, Scorsese o Coppola. ¿Por qué se puso de moda el cine de catástrofes? ¿Cómo influyeron el caso Watergate o la guerra de Vietnam en el pesimismo y la oscuridad de la taquilla? ¿Y qué condiciones comerciales y artísticas confluyeron para la coincidencia, solapada, de algunas de las películas que aún consideramos entre las mejores de toda la historia? Lo debatimos con Carlos Alsina, Rubén Amón, Rosa Belmonte, Guillermo Altares, Sergio del Molino y Nacho Vigalondo. Además, Rosa ya ha visto 'Hamnet', la adaptación de la novela superventas de Maggie O'Farrell.

This week on the Exciting & New podcast, Jason, Andy, and Dana welcome Connor back on the show to discuss the 1986 drama The Color of Money.  It's got the director (Scorsese).  It's got the cast (Newman, Cruise, Mastrantoniosmithjonesjohnson).  It's got the pedigree (sequel to the 1961 classic The Hustler).  It's even got the location (Atlantic City, New Jersey).  There is just something missing from this movie.  It's not bad.  It's just not that good either.  Maybe it is the Eric Clapton of it all.  Enjoy the podcast!Jason, Andy and Dana will discuss a 1986 movie weekly, breaking down all the nonsense there within. The 3 hosts all work together and everyone else around them was getting really annoyed at all the movie talk, so they decided to annoy the world in podcast form.Check out previous seasons to hear them discuss 1982, 1983, 1984 & 1985 movies, as well as a full season of Love Boat episodes (if that is your thing). Plus one-off specials and a weekly mini "what are we watching" podcast.#jezoo74 #aegonzo1 #danacapoferri #exciting_new

Jodie Foster has been acting since she was 3. At 12 she was nominated for an Oscar for her role in Scorsese's ‘Taxi Driver.' This year marks the 50th anniversary of that film. Foster spoke with Terry Gross about her early acting career, including getting mauled by a lion on set. Her new film is ‘A Private Life.'  Tessa Thompson stars in the new Netflix murder mystery limited series ‘His & Hers' and in Nia DaCosta's adaptation of Ibsen's ‘Hedda.' She spoke with Tonya Mosley about navigating her biracial identity and why she has both “yes” and “no” tattooed.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

The Cold War Cinema team returns with special guest Aspen Ballas to discuss John Ford's 1956 western The Searchers. Aspen is a PhD student of English at the University of North Carolina at Chapel Hill. Her research primarily focuses on aesthetics of race and class, and the relation between genre, medium, and politics. Synopsis of the film: Texas, 1868. A lone figure approaches a windswept homestead, against a dusty blue sky and flaming red buttes and cathedral-like mesas. Returning from the fight for the Confederacy, Ethan Edwards arrives home to his brother Aaron, Aaron's wife Martha, and to their children Ben, Lucy, little Debbie, and their adopted son Martin Pawley. But this is rough country, and a Comanche raid leaves the Edwards family torn asunder–Aaron, Martha, and Ben dead, and Lucy and Debbie taken captive. For seven years, Ethan and Martin search the vast wilderness, motivated not only by family bonds, but in Ethan's case, bloodlust and wild, racist hatred–a search not only to find Lucy and Debbie, but to enforce racial and sexual purity and to define Americanness itself… On this episode we discuss: The American mythmaking in The Searchers and in westerns generally.  John Ford's attempt to critique anti-Indigenous racism, and the limitations of such a critique in the context of Hollywood filmmaking of this era.  Militant Liberty, a top-secret psychological warfare program created by the Pentagon to promote anti-communist themes in Hollywood movies during the Cold War. John Ford was an eager participant in the program. The broader US imperialist context of the film's release and the historical background of the setting.  _____________________ We love to give book or film recommendations on the podcast, so here are ours for this episode:  Aspen: The Face on Film by Noa Steimatsky; Raoul Peck's docuseries Exterminate all the Brutes (2021) Paul: The Searchers: The Making of an American Legend by Glenn Frankel    Tony: Unsettled Borders: The Militarized Science of Surveillance on Sacred Indigenous Land by Felicity Amaya Schaeffer   Jason: Versions of  Hollywood Crime Cinema: Studies in Ford, Wilder, Coppola, Scorsese, and Others by Carl Freedman _____________________ Like and subscribe to Cold War Cinema, and don't forget to leave us a review! Want to continue the conversation? Drop us a line at any time at coldwarcinemapod@gmail.com. To stay up to date on Cold War Cinema, follow along at coldwarcinema.com, or find us online on Bluesky @coldwarcinema.com or on X at @Cold_War_Cinema.   For more from your hosts and guest: Follow Aspen on Letterboxed at @aspenballas. Follow Jason on Bluesky at @JasonAChristian.bsky.social, on X at @JasonAChristian, or on Letterboxed at @exilemagic. Follow Anthony on Bluesky at @tonyjballas.bsky.social, on X at @tonyjballas, or on Letterboxed at @tonyjballas. Follow Paul on Bluesky at @ptklein.com, or on Letterboxed at @ptklein. Paul also writes about movies at www.howotreadmovies.com  _____________________ Logo by Jason Christian  Theme music by DYAD (Charles Ballas and Jeremy Averitt).  Happy listening!

Recorded - 1/11/2026 On Episode 354 of the Almost Sideways Movie Podcast, we review the latest Bradley Cooper directed film. Is his third outing up to the standard set by his first two films? Then we dive into our own physical media collections and geek out over our most treasured entries in our collection. Here are the highlights:What We've Been Watching(5:20) "The Passion of Martin" - Todd Director Blindspot Review(10:20) "An Inconvenient Truth" & "I Was a Stranger" - Terry Reviews(16:50) "K-19: The Widowmaker" - Adam Ford Explorer Review(23:00) "Father Mother Sister Brother" & "Mr. Scorsese" - Zach Reviews(30:30) "Is This Thing On?" - Featured Review(55:40) Power Rankings: Most Treasured Physical Media(2:03:30) Honorable Mentions(2:20:20) "I've Heard the Mermaids Singing", "3 Women", "You Can Count on Me" - Trivia Reviews(2:35:20) Trivia: Bradley Cooper Filmography(2:46:50) Quote of the DayFind AlmostSideways everywhere!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠almostsideways.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/AlmostSidewayscom-130953353614569/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AlmostSideways Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: @almostsideways⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Terry's Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: @almostsideterry⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zach's Letterboxd⁠⁠⁠⁠: https://letterboxd.com/pro_zach36/Todd: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Too Cool for Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Adam's Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: @adamsideways⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/almostsideways-podcast/id1270959022⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/7oVcx7Y9U2Bj2dhTECzZ4m⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCfEoLqGyjn9M5Mr8umWiktA/featured?view_as=subscriber⁠⁠⁠⁠⁠⁠

Foster was just 12 years old when she starred in Scorsese's 1976 film ‘Taxi Driver.' "What luck to have been part of that, our golden age of cinema in the '70s," she says. She talks with Terry Gross about the 50th anniversary of that movie, getting mauled by a lion on a set, and why she kept her sexuality private for most of her career. Foster's latest film, ‘Vie Privée' (‘A Private Life'), is in French, which she speaks fluently. Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

January kicks off with a defining entry in cinema history: Taxi DriverIn Episode 363 of Jay Movie Talk. I begin the Loners, Drifters, & Outsiders series by revisiting Martin Scorsese's haunting character study of isolation, alienation, and violence in post-Vietnam America. Fifty years later, Taxi Driver remains as unsettling, provocative, and conversation-worthy as ever.This episode dives deep into Travis Bickle as a character, the dangers of romanticizing loneliness, and how the film places us inside a fractured mindset rather than asking us to admire it. I discuss Scorsese's raw direction, Robert De Niro's career-defining performance, and why the film's ending still sparks debate decades later.I also explore how Taxi Driver has influenced modern cinema, why this archetype keeps resurfacing, and whether the film feels even more relevant today than it did in the 1970s .This isn't an easy watch, but it's an essential one. And it sets the tone for everything coming this month.

Send us a Question!QUARTERLY CATCH-UP: Movies & Us: Podcast, Instagram TV & Us: Podcast, Instagram Quarterly Catch-Up is a co-production between Cinematic Doctrine & Movies & Us! While answering a few questions about watching habits, we also talk about what else we've been up to this quarter, as well as our enjoyment over completing this lil' series. We hope you had a wonderful 2025, and we look forward to what 2026 will bring!Things Mentioned:A Man on the Inside (2024-X) (Series)Hedda (2025) (Movie)Jane Austen's Period Drama (2024) (Short Film)Sorry, Baby (2025) (Movie)Train Dreams (2025) (Movie)Mr. Scorsese (2025) (Series)It Doesn't Get Any Better Than This (2023) (Movie)Occult (2009) (Movie)Good Boy (2025) (Movie)Support the showSupport on Patreon for Unique Perks! Early access to uncut episodes Vote on a movie/show we review One-time reward of two Cinematic Doctrine Stickers & Pins Social Links: Threads Website Instagram Letterboxd Facebook Group

Join Alex in a solo episode as he explores the Scorsese psychological thriller Shutter Island (2010)! Starring Leonard DiCaprio as a troubled US Marshal, the film follows the Marshal's investigation into the disappearance of a patient at a psychiatric facility and prison for the criminally insane on a desolate, rocky island in the mid-1950s. However, beneath the surface, sinister forces lurk, and the episode delves into the mysteries surrounding the case. It explores the potential psychological and psychiatric diagnoses for the characters (whether it's schizophrenia or something else entirely). Additionally, the film sheds light on the state of psychiatric and psychological care during that era in the United States. As Leo's final line in the film suggests, sometimes, ignorance can truly be bliss! If you like this content, you might like my new Audible audiobook/course, A Psychologist Goes to the Movies, available now! It features six films that have been on this show, condensed into 25-30 min essays, researched and analyzed. 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!

James Howard Kunstler is a writer, blogger of "ClusterFuck Nation"and host of the podcast "Kunstler Cast. We talk the future of film, Netflix/Paramount bid to buy Warner Brothers, films made by Scorsese, Clint Eastwood, Coen Brothers, and much more. PLEASE SUBSCRIBE LIKE AND SHARE THIS PODCAST!!!    Watch Show Rumble- https://rumble.com/v73oqjk-timeout-from-the-worlds-problems-to-talk-movies-james-howard-kunstler.html YouTube- https://youtu.be/ZbpbmK7UT80   Follow Me X- https://x.com/CoffeeandaMike IG- https://www.instagram.com/coffeeandamike/ Facebook- https://www.facebook.com/CoffeeandaMike/ YouTube- https://www.youtube.com/@Coffeeandamike Rumble- https://rumble.com/search/all?q=coffee%20and%20a%20mike Substack- https://coffeeandamike.substack.com/ Apple Podcasts- https://podcasts.apple.com/us/podcast/coffee-and-a-mike/id1436799008 Gab- https://gab.com/CoffeeandaMike Locals- https://coffeeandamike.locals.com/ Website- www.coffeeandamike.com Email- info@coffeeandamike.com   Support My Work Venmo- https://www.venmo.com/u/coffeeandamike Paypal- https://www.paypal.com/biz/profile/Coffeeandamike Substack- https://coffeeandamike.substack.com/ Patreon- http://patreon.com/coffeeandamike Locals- https://coffeeandamike.locals.com/ Cash App- https://cash.app/$coffeeandamike Buy Me a Coffee- https://buymeacoffee.com/coffeeandamike Bitcoin- coffeeandamike@strike.me   Mail Check or Money Order- Coffee and a Mike LLC P.O. Box 25383 Scottsdale, AZ 85255-9998   Follow Jim X- https://x.com/Jhkunstler Substack- https://jameshowardkunstler.substack.com/ Order Jim's new book- https://a.co/d/h928S60   Sponsors Vaulted/Precious Metals- https://vaulted.blbvux.net/coffeeandamike McAlvany Precious Metals- https://mcalvany.com/coffeeandamike/ Independence Ark Natural Farming- https://www.independenceark.com/  

Whether he's playing billiards or table tennis, a successful hustler requires no small amount of charisma, something Timothée Chalamet's ping-pong pro undeniably has in Marty Supreme, though it's of a decidedly different flavor than that of Paul Newman in The Hustler. Whether that charisma translates to a character we want to root for as he makes a mess of his own life, as well as those of the people (and one unfortunate dog) around him, is up for debate in our discussion of Josh Safdie's new anxiety attack in movie form. Then we pit Marty's game against Fast Eddie's as we move into Connections to discuss the magic and morality of hustling, charismatic liars and the women who are drawn to them — even when they can see right through them — and whether these men chasing victory on their own terms, and at the cost of everything else, is inspirational or pitiful. Then in Your Next Picture Show, Scott sticks up for The Color of Money, Scorsese's Hustler sequel that can't quite best its predecessor, but still has plenty of swagger all its own.  Please share your thoughts about The Hustler, Marty Supreme, or anything else in the world of film, by sending an email or voice memo to comments@nextpictureshow.net, or leaving a short voicemail at (773) 234-9730. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 411 - Scorsese Directs Films for the Hallmark Channel, Right? by Free Legal Advice

Josh Pais is an acclaimed Hollywood actor recognized for his dynamic performances alongside icons like Scorsese, Denzel, and Jennifer Aniston. Beyond his storied film career, Josh is the creator of the Committed Impulse method—a revolutionary approach empowering leaders and creatives to overcome fear, access their full presence, and perform at their peak. Drawing on insights from the worlds of acting and neuroscience, Josh helps people break free from mental roadblocks and ignite their aliveness, whether in the boardroom or on stage. He's also the author of Lose Your Mind: The Path to Creative Invincibility, distilling his life's work into practical exercises and guidance for anyone seeking greater authenticity and creative freedom. Takeaways: Transforming Fear into Fuel: Josh believes that nervousness, anxiety, and fear are natural human sensations and advocates for embracing them rather than suppressing them. By feeling these emotions fully, they can become creative or professional fuel rather than obstacles. Presence is Key: Through techniques like his “I'm back” exercise, Josh empowers people to break free from self-critical mental chatter and anchor themselves in the present moment, opening up greater creativity and impact in their work and life. Vulnerability as Power: Rather than viewing vulnerability or emotional intensity as a weakness, Josh asserts that welcoming every sensation—especially during high-stakes moments—creates genuine connection and power. Sound Bytes: “When actors step into the unknown and create in that moment, that's what engages an audience.” “Feel the charge, it's not good or bad—it's just energy. Use it as fuel for whatever you're doing.” “You have to be a little crazy to go into this and, you know, the thing with rejection is feel it like a bee sting, then clear the slate and be open for what's next.” Connect & Discover Josh: Instagram: @joshpais Facebook: @CommittedImpulse X:  @JoshPais Website: Committed Impulse

Josh Pais is an acclaimed Hollywood actor recognized for his dynamic performances alongside icons like Scorsese, Denzel, and Jennifer Aniston. Beyond his storied film career, Josh is the creator of the Committed Impulse method—a revolutionary approach empowering leaders and creatives to overcome fear, access their full presence, and perform at their peak. Drawing on insights from the worlds of acting and neuroscience, Josh helps people break free from mental roadblocks and ignite their aliveness, whether in the boardroom or on stage. He's also the author of Lose Your Mind: The Path to Creative Invincibility, distilling his life's work into practical exercises and guidance for anyone seeking greater authenticity and creative freedom. Takeaways: Transforming Fear into Fuel: Josh believes that nervousness, anxiety, and fear are natural human sensations and advocates for embracing them rather than suppressing them. By feeling these emotions fully, they can become creative or professional fuel rather than obstacles. Presence is Key: Through techniques like his “I'm back” exercise, Josh empowers people to break free from self-critical mental chatter and anchor themselves in the present moment, opening up greater creativity and impact in their work and life. Vulnerability as Power: Rather than viewing vulnerability or emotional intensity as a weakness, Josh asserts that welcoming every sensation—especially during high-stakes moments—creates genuine connection and power. Sound Bytes: “When actors step into the unknown and create in that moment, that's what engages an audience.” “Feel the charge, it's not good or bad—it's just energy. Use it as fuel for whatever you're doing.” “You have to be a little crazy to go into this and, you know, the thing with rejection is feel it like a bee sting, then clear the slate and be open for what's next.” Connect & Discover Josh: Instagram: @joshpais Facebook: @CommittedImpulse X:  @JoshPais Website: Committed Impulse

Happy Holidays! This week Tom and Julie put together the Double Threat High Pants Hall of Fame including William Friedkin, James Coco, Mickey Rooney, and more! Plus they watched a few Holiday themed clips submitted by you, such as Christmas Eve in McDonaldland, How To Make Christmas Tree Cheese, John Malkovich playing Santa Claus, and more. We'll see you all in the new year with more Double Threat!CLIPS FROM THIS WEEK'S EPISODE:-Christmas Eve in McDonaldlandhttps://www.youtube.com/watch?v=VxY2KYDrB2Y-How To Make Christmas Tree Cheesehttps://www.youtube.com/watch?v=0GQ1LgggVX4-Amazon.com Christmas Commercial (2001)https://youtu.be/2_HywFG0ErA?si=6_ixLtc660a_GpK6-John Malkovich as Santa Claushttps://www.youtube.com/watch?v=-n9YkTdIcbY&feature=youtu.be&t=02m30sOur brand new Double Threat merch is AVAILABLE NOW at https://doublethreatpod.merchtable.com - Join the Patreon to receive an exclusive discount code at https://patreon.com/doublethreatpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon is the best way to support Double Threat! Your support keeps the show going and we appreciate it more than we can say. Plus you get weekly bonus episodes, access to monthly livestreams, merch store discounts, and more!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/doublethreatpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠WATCH VIDEO CLIPS OF DOUBLE THREAT⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@doublethreatpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠JOIN THE DOUBLE THREAT FAN GROUPS*Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://discord.com/invite/PrcwsbuaJx⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠*Reddit⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.reddit.com/r/doublethreatfriends/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠*Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.facebook.com/groups/doublethreatfriends⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠SEND SUBMISSIONS TO⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠DoubleThreatPod@gmail.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠FOLLOW DOUBLE THREAT⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/doublethreatpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/doublethreatpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠DOUBLE THREAT IS A FOREVER DOG PODCAST⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foreverdogpodcasts.com/podcasts/double-threat⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Theme song by Mike KrolArtwork by Joe Frontel00:00 Intro01:10 Statham Steakums07:13 Frank Zappa11:20 William Friedkin19:39 Marty Supreme28:18 Scorsese doc31:10 Our new beef37:03 Michael Caine diarrhea39:44 The High Pants Hall of Fame49:33 Christmas Eve in McDonaldland01:04:07 How To Make Christmas Tree Cheese01:13:55 Amazon.com Christmas Commercial01:22:43 John Malkovich as Santa Claus01:29:55 OutroSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this explosive episode of Gangland Wire, host Gary Jenkins sits down with actor, entrepreneur, and mob insider Gianni “Johnny” Russo, best known for his unforgettable role as Carlo Rizzi in The Godfather. Russo pulls back the curtain on a lifetime of stories that stretch from Frank Costello and Joe Colombo to Las Vegas skimming, the Vatican Bank, Marilyn Monroe, Jimmy Hoffa, and even Pablo Escobar. Russo discusses his new book, Mafia Secrets: Untold Tales from the Hollywood Godfather, co-written with Michael Benson—an unfiltered account of power, violence, politics, and survival inside the criminal underworld and Hollywood royalty. This is not recycled mythology—this is Gianni Russo's personal version of history from the inside. Whether you believe every word or not, the stories are raw, violent, and utterly fascinating. This episode discusses: The Godfather, The Kennedy assassinations, Vegas skimming, Marilyn Monroe, Jimmy Hoffa, the Chicago Outfit, Pablo Escobar

In his new film, 'Rental Family,' Brendan Fraser plays an actor in Tokyo who takes a job with a rental family service. It's based on a real phenomenon in Japan: companies where you can hire someone to fill a gap in your life. Fraser spoke with Tonya Mosley about shooting in Japan, working with Scorsese on ‘Killers of the Flower Moon,' and his struggle with confidence. Also, Ken Tucker shares three songs dominating the charts: Neko Case's "Oh, Neglect...," Valerie June's "Runnin' and Searchin'" and Olivia Dean's "Man I Need" Follow Fresh Air on instagram @nprfreshair, and subscribe to our weekly newsletter for gems from the Fresh Air archive, staff recommendations, and a peek behind the scenes. Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Hollywood:1975. Martin Scorsese sits in his apartment, enraged. He wants to literally kill the man who is ruining his to-be-released film, Taxi Driver. Scorsese's friends, filmmakers Stephen Spielberg, Brian De Palma, John Milius, and Paul Schraeder rush to Scorsese's side to talk him out of committing murder, but when they arrive, their friend Marty acts less like himself and more like his Travis Bickle character from the film he's trying to save. This is the story of that night.  Martin Scorsese is certainly one of the greatest filmmakers of all time. Jake wants to know: who is your favorite filmmaker? Tell us at 617-906-6638, disgracelandpod@gmail.com, or on socials @disgracelandpod. This episode contains content that may me disturbing to some listeners, including graphic depictions of violence and self-harm. This episode was originally published on February 25, 2025. To listen to Disgraceland ad free and get access to exclusive content and more, become a Disgraceland All Access member at ⁠disgracelandpod.com⁠ Sign up for our newsletter and get the inside dirt on events, merch and other awesomeness - ⁠GET THE NEWSLETTER⁠ Follow Jake and DISGRACELAND: ⁠Instagram⁠ ⁠YouTube⁠ ⁠X⁠ (formerly Twitter)  ⁠Facebook Fan Group⁠ ⁠TikTok To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Sebastian Maniscalco (The Irishman, About My Father) joins us this week for an unfiltered conversation about chasing approval, the grind of stand-up, and learning to slow down. Sebastian opens up about growing up with immigrant parents, bombing in his early sets, and the nerves of auditioning for Scorsese before eventually working with Robert De Niro and Joe Pesci. He also reflects on family life, parenting, the pressure of social media, and why he dreams of one day running a boutique hotel. Thank you to our sponsors:

Get 20% off your first Mood order with promo code "VIEWS." https://mood.com On today's Views pod David, Jason and Natalie recap David's Halloween Party, what celeb walked in an made someone's night and they reveal a secret way people were getting into the party. Also, the crew talks the Cartel, Scorsese movies and why they can't tell Matt Damon and Leonardo DiCaprio apart. And Kylie Jenner does David a big solid, a date brings up one of David's red flags, and Jason does something horrible while watching the World Series. And the guys listen to Elon Musk hype up the new Roadster on Joe Rogan and wonder if David's new ride will be able to fly.. Also, you could have made millions betting on David bringing the vlog back. https://open.spotify.com/episode/4KmUglLCHYsnclY5twiSHF?si=-9LHkTBERk2YBa6wVXIpCQ Learn more about your ad choices. Visit megaphone.fm/adchoices

This is The Zone of Disruption! This is the I AM RAPAPORT: STEREO PODCAST! His name is Michael Rapaport aka The Gringo Mandingo aka aka The People's Pickle aka The Jewish Brad Pitt aka Captain Colitis aka The Disruptive Warrior aka Mr. NY aka Mr. Nantucket is with Dean Collins aka Dean Cuddles aka The Young Shooter aka The Fake Kurt Cobain aka Deuce Collins aka Deuce Cuddles & they are here in the flesh to discuss: The Los Angeles Dodgers winning it all, Dean being in the gym with a personal trainer, Goals & Gains, what they're watching, Mr. Scorsese, going to another music festival, Halloween Parties in 2025, actors who freeze dry fry their grill & a whole lotta mo'. This episode is not to be missed! Rate & Review on Apple Podcasts or Spotify Send questions & concerns to: iamrapaportpodcast@gmail.com Subscribe to Rapaport's Reality Feeds: iHeartRadio: https://www.iheart.com/podcast/867-rapaports-reality-with-keb-171162927/ Apple Podcasts: https://podcasts.apple.com/us/podcast/rapaports-reality-with-kebe-michael-rapaport/id1744160673 Spotify: https://open.spotify.com/show/3a9ArixCtWRhfpfo1Tz7MR Pandora: https://www.pandora.com/podcast/rapaports-reality-with-kebe-michael-rapaport/PC:1001087456 Amazon Music: https://music.amazon.com/podcasts/a776919e-ad8c-4b4b-90c6-f28e41fe1d40/rapaports-reality-with-kebe-michael-rapaport Stand Up Comedy Tickets on sale at: MichaelRapaportComedy.com If you are interested in NCAA, MLB, NBA, NFL & UFC Picks/Parlays Follow @CaptainPicksWins on Instagram & subscribe to packages at www.CaptainPicks.com www.dbpodcasts.com Produced by DBPodcasts.comFollow @dbpodcasts, @iamrapaport, @michaelrapaport on TikTok, Twitter & InstagramMusic by Jansport J (Follow @JansportJ) www.JansportJMusic.comSee omnystudio.com/listener for privacy information.