Odyssey Shoots Entirely on IMAX, AI First Companies Walkback, and Microsoft's AI Fact-Checker

0:00In this episode of The Noise, Christopher Nolan's new Odyssey film is going to shoot entirely on IMAX. Companies that went all in on AI and now rolling back. Microsoft Research's new AI model tells you when it might be BSing. Let's get into it.

0:16All right, what's up, Addy? Hey, hey, hey. You see that HBO... Two-eighths, baby. That was on HBO, though. That's Apple TV. Oh, my bad. You're trying to make a studio joke, which I get. i'm gonna make a studio joke after every episode till the show ends i know old school hollywood style buffet no the hbo uh max that max is now back to being hbo max oh that they've gone full circle and they're naming yeah that that was a good move because i mean hbo the brand holds such prestige over it's such a good brand and yeah it was i mean i kind of get it because they're also trying to roll in the like no i don't get it at all cooking channel and the other stuff the thing never made sense was when they had an HBO show and then they had a Max original.

1:00Yeah. I still don't understand what the difference is. I mean, they're different companies, right? Like, there's two different organizations. Like, HBO is in New York and I think Max might be elsewhere. LA. Probably. I'm guessing. Yeah. But I do want to say that their social media team, A +, in name, rollback, they've been posting memes galore. How did they do it? Making fun of themselves for rolling back to the original name. That's a Duolingo move. All right. Of actual news stories. Thank you. Just got a alert. Christopher Nolan's upcoming film, The Odyssey, which you've known about very excited about that one.

1:32Yeah, just came out. So we knew he's gonna film on IMAX. He had IMAX develop new cameras for him. But now it came out that Odyssey is going to be the first blockbuster film entirely shot on IMAX. That's crazy. And remind me that Oppenheimer was not entirely normally because I mean, Nolan shot IMAX for like pretty much all of his movies, but it's usually like key scenes. So it's a mixture of IMAX, like shooting scenes on IMAX and then shooting scenes on more traditional cameras. And then if you see the film in IMAX, it switches from the four by three square IMAX for like the big IMAX scenes. And then it goes to the widescreen for the other scenes.

2:08So this should be entirely IMAX. That's incredible because it's like such a big uptick in shifting back into film. but this is film 2.0 or rather film 3.0, right? This is go big or go home film. This is now using modern technology to really make film easier to live with and shoot with. I think on the IMAX article, I read that it's not only just making the camera lighter and less noisy. Yeah, so that was two of the big issues with IMAX. They're huge, massive, bulky cameras and loud where you couldn't really use any of the dialogue being recorded. Right. It's also improvements into the scanning pipeline.

2:45Yeah. And that's interesting. Yeah. I guess it was, I don't know what the time the turnaround is, but I guess it was an issue where he couldn't watch dailies the next day of what he shot. Yeah. I'd imagine like one 70 millimeter film frame is probably like, you know, 16 K in resolution, something super heavy. How long would that take? Just scan a frame. Right. Exactly. Even if it's like one second of frame, like I'm sure it's longer than that. Right. Right. But yeah. And then encoding that and then uploading it to a server and then putting it up on a projector or whatever the workflow is, that must take a long time.

3:17So I wonder what the improved, and yeah, now I'm curious about what's the scanning improvement? Is it like scan at a lower res and maybe up-res it a bit? It's AI, dude. I'm joking. No, but I mean, I'm wondering, is it like an up-res of like, if you can scan it at a lower resolution and up-res it or denoise it with a computer? Yeah, I would imagine maybe there is like, almost like a structure where you have the 16K scan, 8K scan, 4K scan, 2K scan, and then the 2k goes to dailies immediately the 4k will go somewhere and then the 16k will go to vfx something like that right and i mean the vfx one like they don't need that right away that's something you can wait to have that you know he wants his dailies obviously to see what they're filming the same day or the next day yeah but it's interesting because that's a purely digital pipeline i'm guessing in a world that is you know cellular film right yeah i mean it's not screening his dailies on a projector and correct projector room oh maybe he is and it's got that uh it's he's got that you know he's got the the old school little uhf tv thing that he uses as his director's monitor oh i didn't know that you ever see i mean ever see those behind the scenes photos of him and he has the necklace hanging with the and it looks like it's like an old like uhf like like with the antenna that you would pick up you know like uh whatever baseball stations or whatever whatever is being broadcasted it's like a tiny crt monitor yeah it's a tiny little screen and that's what he uses for his directors you find her i know there's some interviews about with him about it i think it's because he just really cares about the framing and performance and he's like not you know he has a cinematographer he's not like trying to check lighting or anything else it's just like check out the performance and keep things like pretty basic but he's used that thing forever for somebody at that level of filmmaking it seems like he's not that into latest tech like could care less about like sony's new oled monitor i don't think he cares about that but he does care about IMAX making a lighter portable.

5:06I mean, that's also just shows his power was able to get IMAX to develop a new camera for this type of filming. Right. And then did you catch the comment from the CEO of IMAX on? Yeah. What did he say? That is going to be a record year for them? Yeah. So yeah, exactly. 2025, I think is one of their biggest years. And there's a significant uptick in the number of IMAX record number of films releasing in 2025 that shot at least some scenes with IMAX camera or quote film for IMAX, which is their other designation, which is, I think if you shoot on like a digital 65 or on specific cameras that are big enough to project on an IMAX screen.

5:44So it's not technically shot with IMAX, but IMAX consumed for IMAX, for IMAX screens that kind of follow their pipeline and their quality standards. Yeah. It's such a significant shift in a movie making over the last decade, right? Because there's a clear differentiator here and you saw you know sinners on imax right like you know for a fact that that is worth going to a movie theater for yeah that yeah that would specifically i sought out a like dedicated imax screen with 70 millimeter projection right which is hard to find there's only 10 in the worlds that were playing it right so maybe so it's it's pretty cool i think it's good for hollywood in general and big movie making in general to just have like that coveted you know window of theatrical release actually have a premium look and feel.

6:31Yeah, it's good for the theatrical experience because it gives you a reason to go see this in the theater to have like an experience that, you know, you just couldn't match at home. Yeah. I mean, Sinner is a big example. Then, you know, got Mission Impossible coming out, shot film for IMAX, you know, kind of same experience. And then also the Formula One movie coming out had shot for IMAX scenes. Yeah. I've been wondering if, you know, Christopher Nolan has been shooting IMAX for years, but then everyone, Ryan Coogler makes a 10-minute video explaining IMAX and everyone's going about IMAX and he's just like wait is that all I had to do for everyone to get excited about IMAX he doesn't make a 10-minute video explaining like what IMAX is like yeah dude I went the Christopher Nolan video but um yeah you know rising tide rising IMAX tide lifts all boats lifts all filmmaker boats yes there is other news on the film front yeah what do we got so M.

7:20Night Shyamalan one of my favorite directors for better or worse. Look, you got to give the guy credit that his movies are unique and doesn't follow formulaic approaches. Some of them may have been misses, but some of them certainly have been hits. I think Unbreakable is one of his most unrated films. For sure. Even like the last film, the one with Josh Harden. Yeah, the stadium one. Yeah. Shoot, I'm blanking on the name, but. It's like a one word name, isn't it? Yeah. Yeah. Here, there, now. Yeah, something like that. Is it here? it was a pretty well thought out plot i think it kind of fell apart on act three and the twist that he's famously known for became a prisoner to his own success because then there became this expectation of like what's the twist going to be at the end yeah so Shyamalan shooting his next movie called remain on vista vision yeah yeah this division making a comeback too so my personal preference if you're going to shoot on film shoot it on vista vision it's way cheaper than imax and it gives you a more exaggerated film look than IMAX does.

8:22Cheaper because you can just shoot on 35 stock. Yeah. And you don't have to have the special 70 millimeter stock. Yeah. But because I guess of the chemistry and some of the internal mechanics of shutter angles and all those things, it really gives you like an OG Hollywood vibe on your end result. I feel like I should know this. Is VistaVision still an existing company or is it just a matter of you have to source these old camera bodies? That's a great question. I don't know that. I don't know if they're still active company or it's just like you got to find an old like finding like a bolex camera or something that still functions yeah did you know that alfred hitchcock shot a bunch of stuff on vista vision i'm not surprised i mean it was a big format in the day in the 60s right 50s 60s yeah i'm super happy that all of this is making comeback with the added benefit of modern vfx which makes this so magical yeah and it just i mean it kind of shows that like there could be multiple lanes it's like yes you could have these big temple blockbuster films and throw everything at it and bring in these cool celluloid cinematic extravaganzas.

9:20And then also, you know, we have digital, so we could like make other more, like a lot more stuff and stories and films. And you can have both. It doesn't have to be like one or the other. Yeah, and you can have somebody like Zack Snyder who only uses reds. And his movies have, you know, or high frame rate action sequences, which are perfect for digital cameras. Yeah, yeah. Or slow motion. Or Cameron, who like pretty much has to shoot digital for the crazy stuff that they're doing. Yeah, so I mean, you have more tools, more options, but it doesn't mean, I mean, obviously we're shooting a lot less film, but it doesn't mean it has to go obsolete.

9:52Yeah, no, absolutely. And if anything, I think this is giving film a second life. And this is something we covered in the show in the past and a space we're gonna watch closely because I think it directly ties into the health of the film industry going forward. Like how well celluloid film does and how well those movies perform. will naturally dictate how well the whole industry performs. Yeah, for sure. I've seen other stories. I don't know what film specifically did it, but of a film shooting digital, and then they print it to film and then rescan it to basically like the ultimate film emulation.

10:36Yeah, yeah, yeah, sure. I don't entirely know why. I mean, I understand. I kind of get why you would do it. I mean, because you could have your final edit and then just print that to film and you're not spending a bunch on film stock. Yeah. At some point, like the grain and the film artifacts start to be too much. You're like, okay, this is distracting from the imagery that I would need to follow the story. Oh, like what takes you out of it? Yeah, yeah, exactly. Have you had a movie like that? I've been on a binge of like older 70s, 80s movies and have noticed, you know, you can see the film grain and a lot of those films were shot with like faster stock.

11:13So they're a bit, the grain is bigger. And so it's cool. You see it. Yeah. It didn't really, I mean, it's more just, it kind of ties in, you know, it feels like the moment of like the period of when this is shot. Yeah. If I saw it now. Yeah. I would feel like it feels a little like, yeah, unless it was, you know, intentional, like, oh, this is like supposed to be a seventies film or something, or like a film that takes place in the seventies and have that feel. I feel like it would take me out of it. Okay. Yeah. I agree with you. Have you seen it? I can't think of anything specific that I've seen lately that was like shot in modern times, but has like a noticeable amount of like film grain.

11:47Yeah, nothing that immediately pops to mind. But, you know, like it just goes to show that visual language that we associate with film because it's been over 100 years of it. If you don't conform to it, you're not making a film, which is so important for AI filmmakers to understand. As much as stuff you can do in AI, ultimately it has to be a visual language that we're familiar with that's not just the film grain and all the artifacts, but also the composition, the lighting tricks. If you look at what Roger Deakins does when he lights a set, what Greg Frazier does when he frames up with a particular lens, they're doing that because that's how it's been done for 100 years.

12:31These guys are classical cinema filmmakers. And if somebody just comes and makes an AI film, it has the potential to look too much like a video and not like a film that's the danger yeah or right it's just it's the average of all the stuff it's trained on is just giving you the average output yeah and one of the things that i notice a lot with ai quote-unquote films is like they just can't get shutter angle right so like the motion blur is typically missing or it's exaggerated or it's not physically accurate even just the speed of how characters perform it sometimes sometimes it's normal sometimes it just gives you slow motion it gives you that 300 look like everything in slow motion and but the dialogue is real time so then your brain doesn't know how to comprehend it was like this person is moving in slow motion but talking in real time so i think those are some of the big things to watch out for if you're making a film with the ai yeah last thing about film because it's just reminded me of something else uh technicolor yes the original film stuck not the company not the company because like the original technicolor was like it was three separate film strips right like with oz style like three color processes.

13:40I saw someone recreate a DaVinci node pipeline where they would basically take the image and split it and process it with three separate colors to kind of recreate the Technicolor look using Resolve. So I was like, that's pretty neat. And then also - And it gives you that very like vibrant, saturated color. Saturated color, right, right, exactly. That's what it was known for because I think at the time, the film projection technology just didn't give you that saturation and the punch. So they almost have to exaggerate it with film stock. That's my guess. Yeah, yeah. Yeah. Okay, enough about film.

14:13Next story. We can talk about it forever. That reminds me. All right, next one, AI. So there's kind of a couple headlines going around about Alclarna, the buy now pay later company, they had a few years ago kind of made an announcement that they're going to be like an AI first company, which is what we just talked about with Duolingo. But they did this a number of years ago. and now they're kind of rolling that back and saying that the AI didn't deliver on what they thought it would and they're like going back to hiring people. I think a lot of the AI they were trying to implement was for like their customer support chat agent type workflows.

14:46It was also very early on. Yeah, and so that's what I feel like when I see these headlines and then it's like, oh, the AI doesn't work. I'm thinking like, yeah, if you were like trying to jump into this two years ago, it was pretty crappy. Yeah, like the difference between ChatGPT, like three and four is enormous. yeah i mean three was kind of cool ish but it was like ah it still needed a lot of handholding and to be like we're gonna go all in on this seems like yeah and i think open ai just launched 4.1 beta yeah which is supposed to be even better yeah which also i don't i could not tell you how that is also different from like 4.0 and 4.0 is the image generation no but it's also just a it's also a model yeah okay they have like six different models yeah one is a reasoning model Yeah, they've got to clean up their naming.

15:29They know this. They're aware of this. I could not tell you what the differences are. I mean, 4.0 is kind of the general one, but yeah, 4.1. Yeah. Yeah. And then there was another study that came out. So IBM did a sort of AI study on CEOs that have been using AI. And so their study said that only 25 % of CEOs report that the AI initiatives have delivered unexpected ROI over the last few years, and only 16 % have scaled enterprise-wide. That's really interesting. One in four CEOs who implemented AI on their company thought it delivered, which 75 % of these CEOs thought AI did not deliver. Yeah, this is the AI bubble contracting, right?

16:09Yeah. I mean, also, again, this is over a few years. So it's like if you were trying to jump into this all in a few years ago, I don't think it was there. I think it's getting there now. I think now it's like pretty good for like some stuff. if you're like maybe it's like you got a problem you're trying to solve you see if you could solve with ai first before you bring on a contractor or hire it out yeah and also i'll just say this with a caveat like ibm as an ai company these are probably my guess is a lot of these are ibm customers b2b customers ibm hasn't really delivered on like really outstanding ai products not that i'm aware of i mean i'm thinking of like watson way before open ai yeah right they were like pushing that and like when it was on during the supercomputer era like it was beating magnus carlson and chess and all these things but as far as like a llm that everybody's using ibm hasn't delivered on that and i i don't know if that's even their market yeah i don't i don't know what they're doing yeah they never come up in the conversation so like looking at this through an ibm lens of course is a little skewed i would say that yes in general yeah early early investors early on borders of ai companies probably haven't seen the result that they were expecting Yeah.

17:20Having said that, if you repeat that same experiment today with today's capabilities, I bet you the results would be very different. And people who know how to implement it and looking at the rise of agentic AI and connecting all the dots and like more tools. Yeah. I think you start this today. It's there. So like the headlines being like, oh, you know, AI is not delivering. And it's like, I think, you know, yes, if you started this a few years ago, you're going to have problems. Also, if you look at like the big trends of companies like Meta and Google, if you look at the AI use cases across the board, the number one use case seems to be coding and software development.

17:53So like, uh, if this study was done with that lens, that number would probably shoot up higher. Like you have so many AI powered IDEs and software development tools now. I mean, that stuff is so good, Joey. Yeah. It's scary. Good. Yeah. I'm not a coder. It's hard for me to like judge those tools, but I keep hearing about them, seeing about them as we talked about, I think a while ago, I like tried to dabble to like make some apps, but it was like, I kind of sort of did it, but I also didn't know enough to debug it. And so, or even how to like deploy it. So, well, I mean, I think I was sharing with you, like, I'm trying to build an iOS app for using ARKit, which is the Apple's native SDK for tracking humans and things like that.

18:33You still have to give it an Xcode environment, a test iPhone, connect the two things together. Yeah, you have to know how to do that. So yeah, like once you're past like the basic level of requirements, then you let the AI kind of take over. And I can for sure see that if you're already a programmer or know this, like how if you harness it correctly, you could like supercharge your abilities. Exactly. Just do stuff quicker. But you like need to have that foundational knowledge. The scary thing is like if this is all you know or all you learn on. Right. What's the future going to be like when you don't know how to like troubleshoot or like how this is actually working under the hood?

19:07Well, it's going to be like an aging population of senior developers who have like traditional knowledge. And as they start to die out, we lose like chunks of human knowledge. Maybe at that point, we'll have a way to like download brains. I think we will. And then we could just, you know, download their knowledge. Yeah. I mean, I hate to go off the far end here, but I think I'll do it. supposedly we're if you're in your 30s 40s and 50s now chances of you living 100 plus are extremely high because of uh age advancements like all of the biomedical stuff that's happening to reverse aging right thanks to uh thanks to ai and thanks to brian johnson and well he's just like a guinea pig really like it thanks to all the research scientists that are working on i have bad respect for brian johnson he gets a lot of hate but he's like this guy wants to spend all his money on figuring out how to like live longer and share it with the rest of us like thank you cool my counter to that is he's only been doing this for a few years let's let him live to 100 and then he did pose he did tweet out where he's like i'm probably gonna die in the most like ironic way possible and i hope you all enjoy yeah no he knows it too it's like he can die in a car accident all this will be yeah right anyways yeah yeah but so ai is powering a lot of uh protein synthesis and molecular structure fitting jensen talks about this right yeah yeah like not just cancer curing but also a reversing aging so right okay so we could live to be 100 over 100 and in a healthy way healthy like not in a wheelchair yeah right no that i went off on the deep end we're going to be safe because we'll just live longer so we'll still be around us so those senior software developers they'll be around for a while so we don't need to train up new developers our safety is we're just going to live longer.

20:55We're going to correct the negative with the negative. We thought about retiring. Yeah. Tough luck. You're going to stick around for another 70 years. Guys, this podcast is going to be on for a long time. So brace in. And speaking of AI and accuracy, we've got Claimify. So what is this? Yeah. So let me reframe this for you. We use ChatTBT every day of our lives. You and me do. And sometimes you ask it really difficult questions. and does it ever come back to you with i'm sorry i don't know that one joey no i said that it is uh confidently incorrect like cocky almost all right it will tell you something that's down very certain but never quite sure i mean it's things have gotten better since it could access the web but usually especially 3.5 days it would tell you stuff and people would use this as a search and i'd be like really i mean right and we have the stories of those attorneys like including references to cases that don't exist.

21:48Yeah. So no, it does not verify itself, but it doesn't tell you when it's unsure either. Microsoft Research released a new model called Claimify. It's an LLM, you know, just like ChatGPT, but I think it has a couple of added features that make it a little bit more accurate. So one of the things it's really good at doing is called disambiguation. So when the answer is vague, it'll actually force the LLM into a more precision-based answer. The other thing it does is decompositions. So if it's blurting out a bunch of quote-unquote facts, it'll actually break it down and verify each one independently.

22:27And then creating context around the answer as well. So it'll probably ask for more context from the user to just kind of shape its answers. So in results, it shows that Claimify strikes the best balance between including verifiable content and excluding unverifiable content. And Claimify is least likely to omit context critical to the facts checking verdict. Yeah, I'm looking at the paper. And the thing that stands out to me is it looks like so they had it created like an article about provide an overview of challenges in emerging markets that ChatGPT, the 4-0 model created. And then they ran it through Claimify.

23:06and it seems sort of like a high-end fact checker right because then it listed a whole bunch of like flagging like it analyzed each statement and then flagged like what the issues are with each statement and then verified yeah you know is it too vague is it just factually incorrect that's exactly it so it has a sequential the block within the the algorithm it'll go through it'll split up each of the claims and then from each of the claims it'll disambiguation process one decomposition process one and then give you what it thinks is the right answer yeah it's really pertinent in the world where we live in a lot of fake news and i'm just a lot of or just inaccurate or especially if you're using these outputs there's a lot of ai output out there who knows if it's true or not yeah yeah and then the problem is it gets published and then it gets cited as something yeah right so filling circle of like inaccuracy especially if you're looking at Microsoft as far as like Bing or, you know, like a search engine result, I think there you would have to have correct data.

24:10Like if you're having like a personal conversation between JAT and GPT, it's maybe not as important. Yeah. But if you're like, you know, write me something about this or I'm trying to research something. But I think Bing, that is probably what this is for and why that's a good point. Cause there's like also so many examples of like Google's context, summary search, like summarizing and providing like the craziest, like inaccurate summaries from the results. So I could definitely see this being used for probably why they developed it to be run it on Bing checks and summaries to make sure they're not like putting out crazy stuff.

24:42Yeah. And it's really nice that, you know, we've gone through the last few years of like the basic building blocks, right? Like we got introduced to ChatGPT and ChatGPT improved. And now we're seeing like a real level of refinement. We covered, you know, Sakana AI, the other episode, which is like adding a layer of synchronization and time to generative models. And now Microsoft Research is adding a layer of verification, a blue checkmark to an LLM. So like, it's right. I think this is the most interesting time because now we are seeing this stuff really come into fruition in a useful way. I'm wondering if you can kind of give it the sources you want to check or verify on like to like be the issue of like, I don't want it to like go find another web page to check it against.

25:30But maybe that web page is like from an unreputable source. It's like, can you just verify this against either our internal documents or like this PDF report or like, you know, verify new sites like, you know, CNN or New York Times or these sites that already have their own internal fact checkers and run fact checkers. Yeah, but this could be a huge a time saver and also just help verify stuff like i mean i would i would use this on yeah i mean you use chat gpt deep research a lot right so i use that a bit i mean how accurate is it a lot most of the time i mostly use perplexity because perplexity does really well at like the answers it provides it has citation links to where it found it so then if i need to double check like is this accurate or where'd you find this like the links right there i can click it and it'll take me to the website of where it's getting that information right and so it's pretty accurate and on the dot yeah but i'm also not doing the most like intensive yeah like market research type stuff if you're writing a paper for the united nations yeah and also stuff where it's yeah like yeah legally you you cannot be you know you cannot make stuff up or be or if you if you're an actual journalist on associated press like and you're using ai like you got to use something like this Yeah, yeah.

26:40But that's also just, yeah, definitely speed up the fact checking process as well. Yeah, I don't think people are aware of like how, because I've been on the end of like working with like large media outlets. And like, there are people that they are fact checkers, their dedicated job is to run through all the articles, and they will flag hundreds of lines. They're really good. They're very thorough, and they will flag everything and ask you like, where, you know, prove this source, like prove this, prove this fact. Yeah, I think a news outlet depends on the accuracy of its reports. Yeah, both for like just them being a legitimate news organization and legally.

27:12It's good business practice. Inaccurate information. Yeah. Yeah. So yeah, this is a great find. I'm glad to see this. And yeah, I'm guessing, I mean, maybe you could just other models can just roll it in or. We're seeing a lot more of what I call cross membrane stuff. It's like, for example, you saw Adobe just started to use the chat GPT-MIS generator within the ecosystem. system, we're going to see more like models being used around. Because I think right now the race is like, how can we actually use this at an application level? So like, if for example, I'm just giving an example on Photoshop, you're trying to do this thing with AI, but Firefly is just not high quality enough.

27:50Can you just check a box and use flux? Yeah. And I think people are getting better at knowing like what models or what tools are better at specific tasks. So it's like, are you going to need to use claimify for like everything you run? No, probably not. But if you're writing a paper or something then yeah we'd want to run it through that yeah what i worry about though as the future of the ai industry progresses is like if the money is not in the models then why spend billions of dollars on the models yeah i know you talked about this before but i mean i still i mean the money's going to be in maybe not the the 20 a month products that these companies offer but in the api calls right for all of the back end for everything that's running through these models maybe it's that yeah yeah i mean i think that's where i hope is that I just hope we don't get to a world where the models stagnate and we're not incrementally making them better because the economics aren't there.

28:40Or maybe they just, I mean, maybe, you know, it's a deep seek and you could just do more with less or, or maybe it's train a model towards more of a specific task. Yeah. You know, it's like, yeah, I know if I'm trying to do general stuff, chat GPT is pretty good at it. If I'm trying to like throw a bunch of data at something, Gemini has a big window. So it's pretty good at that. Yeah. If I'm trying to do more writing type stuff, Claude is good at writing. So it's like, there's already a specialization. Yeah. Yeah. It's probably going to be further that, right? It's going to be more highly specialized going forward and less general purpose.

29:07Yeah. I think, I think we're getting, well, I mean, everything changes so fast, but I think we're getting where it's like, yeah, all the, all the large models are like pretty good baseline right now. And it's like, you know, figuring out the specialized tools and applications for them. Yep. All right. Good place to wrap it up. Yes, sir. All right. Links for everything that we talked about as usual at denoisepodcast.com. We have one comment on Apple podcast. We'd love it if you could just throw us a comment on Apple Podcasts. A positive one would be highly appreciated. Yeah, leave a five-star review.

29:35That's the easiest way. And then if you feel like leaving a review, please leave one. You could ask ChatGPT to write your review and just copy and paste it. Something nice. It helps us a lot with algorithms. Yeah. All right. Thanks, everyone. We'll catch you in the next episode.