In short
Denoised Podcast Episode Summary
Episode Title
Michael Keaton's Google AI Film + The Company Producing 5000 AI Podcasts a Week
Hosts
- Addy Ghani - Media Industry Analyst
- Joey Daoud - Media producer and founder of VP Land
Episode Overview
In this episode, Addy and Joey explore two significant developments in the intersection of AI and media:
- Google's collaboration with Michael Keaton on the AI-integrated short film "Sweetwater."
- A company's plan to produce 5,000 AI podcasts each week at the cost of just $1 per episode.
Key Highlights
- Google's AI Film "Sweetwater"
- Overview: The film, directed and acted by Michael Keaton, incorporates AI into its narrative, featuring a holographic AI representation of Keaton's late mother.
- Creative Use of AI:
- Rather than simply enhancing visual effects, the film uses AI to create meaningful interactions, reflecting the potential future of AI in storytelling.
- The discussion surrounding the film explores ethical implications, particularly the recreation of deceased individuals.
- Production Insights:
- The film is part of Google's "AI on the Screen" program aimed at integrating AI into Hollywood productions.
- Budget speculation suggests the production costs could be millions, raising questions about the viability of short films in the contemporary market.
- Cultural Impact: The hosts speculate on the significance of using AI as a storytelling device and its implications for the future of filmmaking.
- Inception Point AI's Podcasting Venture
- Business Model: The company aims to create and release 5,000 AI-generated podcasts weekly, leveraging automation to produce content rapidly and cost-effectively.
- Response to Market Needs:
- The model raises concerns about content saturation and the impact on traditional podcasters.
- Addy and Joey express skepticism over the quality and value of AI-generated content, highlighting fears of decreasing standards in audio media.
- Technological Foundations: Each episode is built using 184 custom AI agents and various large language models, showcasing how advanced technology can automate content creation.
- Meta's New Ray-Ban Smart Glasses
- Product Features: The glasses feature a built-in screen displaying notifications, and the ability to interact with a personal AI assistant.
- Industry Response: Initial reactions suggest Meta's product may outpace competitors like Apple, emphasizing the potential of AR in everyday applications.
- Practical Applications: The hosts discuss various use cases for the glasses, including personal assistance and communication, while considering limitations such as battery life and processing requirements.
Key Takeaways
- AI in Film: As filmmakers begin to explore AI's role in storytelling, ethical considerations become paramount, especially regarding recreating deceased individuals.
- Podcasting Landscape: The introduction of AI-generated podcasts could drastically alter the podcasting space, potentially drowning out quality content and complicating audience engagement.
- AR Technology: Meta's smart glasses reflect a growing trend in AR, illustrating the balance between technological advancement and practical application.
Conclusion
The episode effectively dissects the burgeoning relationship between AI technology and the media landscape, offering insights and critiques on how these innovations could shape the future of storytelling and content creation. The hosts encourage listeners to remain aware of these developments while considering the broader implications for the film and podcasting industries.
Listener Engagement
- The hosts concluded with a call to action, encouraging listeners to leave comments and reviews to help grow the podcast community.
Links
- For more information and links discussed in the episode, visit [denoisedpodcast.com](https://denoisedpodcast.com).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Welcome back to Denoised. We're back in the studio. We're back. Good to be here. See you again, Addy. In person, not virtually. Yeah, it's been months. Just weeks. Yeah, it's been a few weeks, but it feels like months. Yeah. All right. Got a couple stories today. So yeah, let's get into it.
0:18i got an important question for you have you been following the uh amazon prime saga of the summer i turned pretty please enlighten me wow this is this is already interesting well the grand finale was was last week and now you know you got to figure out if you were team jeremiah or team conrad who got the girl at the end okay oh okay no no i so you've not been following along for the past like three months i'm not the demographic for that show let's just say that i'm the uh the husband demographic where my wife starts watching it and then it's on in the background and then like i get sucked into it too and then now we're yeah yeah now it's over it is finished okay yeah so which team are you or your wife yeah we were team conrad and you know why not to spoil it well you gotta watch the show but you know you're just watching you're just like it's like a 12 hour version of the notebook oh shit i mean look congrats to amazon for finally having a show that is in the the pop culture sphere right like this is huge for them yeah i mean i guess you know that's actually a good point too because like usually the shows that have done really well on amazon are like big strong dude with a gun like reacher terminalist yeah i mean fallout does well but that is also an action fallout yeah this is yeah that's a good point it's probably the first one that's like uh just regular contemporary drama okay i got a show recommendation for you yeah i still haven't seen alien earth well alien earth is so good yeah i hear great things.
1:41Keeps getting better. Gotta watch Black Rabbit on Netflix. I tried to watch that last night. I fell asleep. Dude, Jason Bateman kills it on that show. All right, I'll give it another shot. Okay. I was really out of it yesterday. Did you say you fell asleep? I fell asleep. All right. Maybe don't watch it. All right, let's talk about AI stuff. First up, we got another update from Google's AI program to embed themselves with Hollywood filmmakers they have another short film i don't know i guess they produced it co-produced it but it's part of their ai on the screen program uh called sweetwater directed and acted by michael keaton and written by his son sean douglas yeah and also stars kira sedgwick yes this is a really interesting story it is yeah what is interesting about it for you what i find interesting is that it you know this is like it's how fallout used the led volume like an led volume okay there was no like fakery per se like it was uh it was an artificial screen and it's meant to be that in this example ai is written into it as ai so it's literally used uh so his late mother's holographic ai version has the connection with michael keaton's you know current form and um you know instead of like shot replacement and you know replacing vfx and all of those things that we're concerned with it just kind of plays into what ai will eventually be in the future which is some sort of avatar for either late people or existing people you're talking about like ai as a whole like in our cultural impact yeah like i mean nobody really knows what ai will be i mean yeah i mean i thought like i don't know if that's you know yeah except for sam he seems to know everything i don't know if that's the mentally healthiest thing for us to right progress to to be able to um yeah speak with um past loved ones that aside yeah that aside i think the only way to recreate someone pretty convincingly is with ai right now like if you can have enough like if you can train a model on the likeness of a person's personality character traits all that stuff then an ai can replicate it to some extent yeah because that was literally a black mirror episode right yeah so they play into that use of ai into this ai powered right because he's speaking with like an ai holograph of his late mother yes in the film and it's part of the storyline of the film how many times have i said ai in the past i'm just yeah sorry folks i'm glad it's not a drinking game it's all right that's interesting the other part is like obviously this is made with their ai film collaboration program yeah ai on the screen the details of what of the actual production of the film are light right now basically they said they made the film they premiered it's going to do a festival run that was really it they didn't really get any details of is this all generated is this something like ancestra ancestra that's right the film that was like part live action and then part you know ai baby yeah ai effects and it was like a very nice blend of yeah it's like a compositing of a ai baby onto a live plate which we both of us were really um impressed by like it was well done yeah it looked great yeah and and and the but you know the bulk of it was live action actors um you know this one i'm curious about like it does you know in this one picture of the film sweetwater like i mean they kind of look ai like they look a little synthetic-y like you can tell it's michael douglas but michael michael michael keaton but uh nah no you think it's real no that's real that's just uh heavy just heavy compression grading yeah okay so then that aside i'm curious what that what it is yeah what they used i mean i'm gonna guess these the google tools like vo3 and or some crazy custom version of vo3 that we don't have um they have vo4 yes exactly no it's it's really um i think a proven pathway for technology adoption in film and tv when a new tech comes along you generally don't want to throw a lot of money into it so a short film format with a you know a few million budget great and then um it also goes into the film festival circuit which in and of itself you know if it's successful has a pretty good runway into getting the film acquired and then eventually made into a feature.
5:44Yeah, sort of. I mean, I think a few million is a crazy number to say for a short film. Yeah. I mean, with Michael Keaton, right? I mean, I still think that's a crazy number. I feel like Google has - And also like an acquisition of a short film is a crazy number. This is like, I mean, like it's a marketing thing. Like you get a legit actor and name involved. He makes, you know, he's involved in AI, makes an AI short film. It just, you know, helps legitimize the tool set that they're trying to you know get embedded more into more hollywood productions yeah when we say you know ai short film what sort of budgets are you thinking typically would make it successful i mean i for this thing i would still picture it to be in the traditional realm of like if you were making a short film like with a decent budget so 100 000 250 000 for like uh let's say like 10 minutes 30 10 minutes yeah i mean if it's 30 yeah maybe a bit more yeah it also depends obviously this depends what is it one location is it a set is you know like is this a complicated thing you know the idea of ai is supposed to be like well it's supposed to reduce budget or make things more possible so you know were they using it for exteriors b-roll dfx i don't know i feel like hundred thousand is nothing especially if you take uh physical physical production into consideration uh yeah i mean if it was like a two-day shoot then maybe oh oh okay that's small i mean i don't i don't know i don't know anything i don't know yeah we don't but the details are light on this we don't know how long it is we don't know what just my gut instinct just having uh produced uh that's like making the film i'm not talking about his like fees for being no no no of course yeah i'm just talking pure production costs yeah I think a couple million easy.
7:24You think so? Oh, yeah. I mean, just to be comfortable. These are the two different worlds that I come from. A couple million bucks make you a feature for that. Well, just renting like a Arri Alexa for a week is like, what,$20 ,000 or something? You don't think they shot this on the new Nikon Red$2 ,200 camera? then you're you're playing in a you're not gonna win tiff or or you know can with a iphone shot i get what you're saying yeah okay agree to disagree yeah i mean i still think a couple million would be crazy just for them to produce the film not you know excluding the marketing and the promotion they're going to be doing you know for yeah pushing this film yeah but like we're saying we're speculating because uh i would love more details about what this actually entails It's very cryptic.
8:09Just a Google blog. It is just a Google blog post about the Q &A at their premiere screening in New York, which also I thought, I mean, I guess he lives in New York, but I was like, interesting that it's New York and not LA. The other Darren Aronofsky film was also New York based. That's true. That's true. Yeah. I guess maybe Google's. Yeah, Google's. Google does have a giant office in Manhattan. Yeah. I drive by. On the water, right? Yeah. Yeah. Another converted old industrial space like the one they have here. I'm sure the lunch in there is great. so you never leave you know but speaking of the budget so we didn't get into details because i think we were out of town but um there was that other open ai producing critters yes yes and that budget is like 30 million dollars so i have some notes on that movie okay maybe we can cover in another episode but it sounds like a ton of cg stuff went into it i'm sure i mean to still have the 30 million dollar budget and it seemed that people be like i thought i was supposed to make this stuff like cheap with 30 million bucks it was like well 30 million compared to 200 million yeah it is a lot cheaper but yes 30 million is still uh high most with the exception of pixar disney and dreamworks nobody's making 100 million plus yeah animated movies anymore the average animated film as of 2020 is when i last budgeted one a 15 million dollar budget will get you a really nice animated film mostly made in india what time frame what time over what uh one and a half to two years right they're trying to do it yeah by can next year oh okay sure yeah i mean because i think uh you know the flow is a great example and it's like that was four million yes but over like four or five years yeah so you blend more you squeeze the more you squeeze the timeline the more the cost expands because you need to hire more people yeah yeah 30 so it does feel high yeah it does and i'm curious where the yeah like how much is just going to be traditional like cg build it out and where the ai lift is going to come you think they they made the whole movie with ai and that was like 10 million then they had to delete the whole thing make it in cg that was another 20 million or just when they made the first version that all of the models have improved so much it's just like we just got to redo it all because yeah everything we had before it doesn't work anymore yeah something something's off about it so i i do want to investigate a little bit more and yeah i'm curious what the numbers break down but i mean it could also just be because they're trying to do this very fast yeah and also open ai is generally not a hollywood player so they're probably spinning up new infrastructure to do yeah production management yeah yeah and i'm curious because like sora has kind of not been in the conversation as much uh since all the other models have come out so like are they trying to get back in the game or is it also like they're producing it ish and maybe they'll use sora but they'll probably just use whatever tools are i saw a lot of dolly stuff uh in the articles like it's a i guess a new version of dolly being used is it i mean i'm still wondering too because also like depending how the articles are written or researched uh if you have ai research stuff it will bring up dolly i've noticed from trying to research experience and like from open ai stuff i mean they haven't called a product dolly i don't think in um like since the beginning of the year yeah like it just shifted to chat gpt image and if you like call up the apis or if you go into the other tools it's chat gpt image uh dolly as a model name maybe it's internally referred to that still but like i feel like publicly it has not been called dolly for like six months i have an open ai comment i like to make okay i was uh watching a youtuber like an ai oriented youtuber explain it way more elegantly than i will essentially large transformer models like chat gpt and you know clon and all that stuff um they've hit like the upper ceiling of how intelligent they could be chad gpt5 was i think trained on like four trillion trillion trammers and uh like the the intelligent quote unquote intelligence gain was like love diminishing returns like it was barely yeah came out and i'm like okay yeah right nice and so they've fundamentally hit a limit where they they bet big on scale and now that bet is not paying off so internally within the agi asi community there's like a bit of a scramble and it's not just that of like how what to do next or how to train because i mean i'll also imagine like four trillion parameters that that's like the earth like what else do you that's all of the internet yeah it's not more these things exactly so and um now there you know there's some chinese models that are i'm not actually i'm not sure if they're but they use a distributed system architecture and it's like a few hundred million per different node so it's like imagine like a hierarchy of models working together and that's supposedly more intelligent than chat gpt5 so it's so it's not about scale and if it's not about scale then that puts nvidia's big ai bet at risk right because they were betting that they would build city-sized infrastructure for not four trillion but for quantillion or whatever the next number is well i don't think that's slow down because didn't i just see something this morning that they announced that they're investing nvidia is investing in open ai yeah i saw a post uh that it's a 100 gigawatt commitment like they're just going off power video to invest 100 billion dollar in open ai as ai data data center competition intensifies reuters well that doesn't stop doesn't stop them yeah and that's i mean that's essentially the theory they need to keep building bigger and bigger centers and more chips.
13:36They're not going to stop because I think the shareholder price and all of the valuation depends on it, right? They're just going to have to keep making more chips. Yeah, exactly. But at the same time, like the whole scramble, remember when we were laughing when Zuckerberg poaching like backfired and all the folks were just leaving? A lot of that had to do with the fact that Lama just couldn't hit any level of proper AGI metrics, no matter how hard they tried. Yeah, no matter who they brought in or how much they trained. And it's just we're hitting this like very upper limit in the research community that, I mean, it doesn't like affect us day to day.
14:14I'm very happy with ChatGPT the way it is now. It's totally useless for certain things. But the companies are betting so big and it's such a long timeline that if they don't show progress along that slope, then it just dismantles the entire business model. Yeah. That is a big like if. Well, I mean, that was also the fear, you know, with when DeepSea came out, like, beginning of the year. Yeah. And it was like, oh, you could do, you know, you could do TrashDBT. And for a fraction of the cost, you don't need all these crazy data centers. Exactly. Didn't really seem to have an effect on how things were going.
14:45The entire Silicon Valley. And also the theory that you're saying, like, where it's like, oh, you need the big models first to distill them. Yeah, I think where it will affect us is the entire Bay Area Silicon Valley economics is entirely reliant on this AI thing working out. and not being a bubble. And if that bubble comes crashing, that's going to have a huge impact, not just on the U.S. economy, but the world economy as a whole. And like that. Yeah, I mean, look, I've heard about the bubble thing. I mean, and also the comparisons to like crypto and stuff. Sure, sure, sure. You know, I mean, this feels different.
15:16This feels like, oh, you get very, like tangibly see benefits that come out of this and like ways that things can change. Crypto is always sort of like, how does this make things better? Where is this besides pumping up a coin that you made up? I got a neighbor that's a crypto bro. got a brand new car there are some things i get about crypto that do seem overall like positive but like there's a big there was a big lift but um yeah i mean yeah there there there are immediate benefits but does it support the amount of data centers and chips that are being built i don't know i think for the near term we don't have enough data and and chips like i think the next few years um absolutely the demand is higher than supply so nvidia will continue to see a rise But then it'll plateau eventually or something.
16:00I think like underneath the actual architecture for transformers will have to be a new architecture. And I'm guessing that new one will be far more efficient to where you won't even need trillions of parameters. And at that point, instead of like using 100 megawatts of data center power, you need one. And then it'll significantly reduce, like the supply demand curve will completely flip on its head. The same way the film industry has, right? It's like in the past, we couldn't give the audiences enough film. And so there was such a giant economy around this limited number of films that were released.
16:36Fast forward to today, we have more entertainment than we know what to do with. So it's flipped. And now each piece of entertainment has less value attached to it. Yeah. Yeah. So I think the same will apply for AI models. Or you have to build a big model and it gets distilled or shrunk into a smaller, faster model. Yeah. Like looking at, I mean, because I'm thinking like even the, you know, the training the large language models, that's one thing. but also running the video generation stuff takes a lot of compute. And if there's also this, you know, going with like Luma's vision where, you know, personalized videos for everyone and that partner, that ship they have with Humane and Dubai or Saudi Arabia or wherever.
17:12Yes. Like, you know, they're building big data centers and like their kind of vision was like, yeah, everyone's just generating their own personal videos and videos everywhere. And it's like, sure, that'll take a lot of compute, a lot of power. Yeah. Until the models get distilled and shrunk and reduced. Like you can even see with VO3 fast, where like that got so much smaller that Google's like, just generate it. Like unlimited VO3 fast, you know, which came from VO3, the full model. So just stepping outside of our M &E bubble, though, like we think image and video generation is a big chunk of AI usage.
17:44It's actually really not right. Like I would say it's probably a few percentage of the overall data center utilization. if you look at like finance and law and all the stuff that chat gpt is doing really well insurance and real estate you think that's a bigger oh that's probably like 90 of what nvidia is spinning up that kind of stuff yeah also what about not even just m e specific but like advertising like image campaigns like for e-commerce and it's big but uh it shies in comparison to like just take any like real estate like there is a million transactions that are happening today just around the US probably.
18:20And each one of those million transactions is probably going to have some type of ChatGPT API call. So you're looking at like millions of calls just for that industry alone. Add finance, add legal, add whatever software, code development, all that stuff. Those I think are the big buckets of usage. And if you don't see general intelligence there, those markets will not use it. Yeah. I mean, I'm also thinking like that is a forward thinking like i'm wondering like what law firms and uh insurance agencies have like adapted ai like the edge of the workflow yet i think uh as an enterprise maybe not too many but at an individual level like you and i use it all day long and i have friends who are lawyers they use it all the time yeah i get yeah i get what you're saying yeah i just feel like one push of the video generation is going to be like equivalent to like my text.tpt use for the day oh gotcha yeah but overall i gotta say we're building a lot more data centers we'll probably use them in the future eventually we won't need them as much and then what happens it's like when china builds those empty cities yeah we're just gonna we can just convert the data centers into affordable housing this it'll be warm yeah big tangent but uh let's come back to um well this i mean this sort of ties into what we're talking about so this company inception point ai uh built by former the podcast company execs they're launching this new company and their plan is to basically just churn out ai podcasts at scale 5 000 podcasts 3 000 episodes a week one dollar cost per episode that was the hollywood reporters headline of this you know when we spun up our podcast this one i would the first thing i was thinking is does the world need another podcast no the world needs 5 000 ai generated podcasts so all right i mean so the business plan of this is they're going to up a bunch of these podcasts, push them out.
20:12And here, Inception Point AI already has more than 5 ,000 shows across its Quiet Please podcast network and produces more than 3 ,000 episodes a week. Collectively, the network has seen 10 million downloads since September 2023. It takes about an hour to create an episode from coming up with the idea to getting it out in the world. And I think the play here is bust out a bunch of quantity and then get hits with dynamic ads, insertions, and make some money that way. The fact that the entire storyline of the podcast and all of the content is AI generated, that just really gives me the ickies. Yeah, it's like this is the AI slop thing that we're trying to battle against and dissuaged fears of just like, oh, you could just produce the equivalent of podcast brain rot en masse.
21:03absolutely and this is the podcast equivalent of that meta ai post with the artificial family that's posting about their vacation oh yeah that or the chop by like talk to the yeah talk to the stepmom or whatever like that weird stuff i think it's gimmicky i think it'll it'll probably have a short-term little spike but in the long run i don't see any of this working yeah i hear the company's able to produce each episode for a dollar less blah blah blah this generally means that if about 20 people listen to that episode the company made a profit on that episode i see you know what so right it's a volume play oh i mean but it's annoying all it takes is 20 people for for us legit podcasters like launching a podcast and building a podcast putting it out in the world and like building up the audience is a pain in the ass and one of the hardest things to grow on thank you for watching yeah thank you for watching and subscribing and and the reviews but it's a pay like excluding youtube because that's they have a much better model but like apple podcasts and spotify yeah pain to grow and develop there and then if the market just gets flooded with all these other podcasts with these ai automation podcasts it just like drowns everything out i think it just makes the noise floor bigger but the noise floor is still a floor yeah it was like how do you how like okay maybe you got a couple hits on this but it's like are you building a brand are you building are you are you are you building a click through right uh yeah it's like what is the longevity here if you're just like let's just keep churning out stuff and mass what's the long-term play.
22:30Also, I think the hyperscalers like Azure or AWS is probably funding a lot of this because it's just helping them spin up their virtual machines. Yeah, I could see that. I hear the company produces different levels of podcasts. The lowest level involves weather reports for various geographic areas. I could get how that like, I mean, it's like an SEO play or simple biographies and higher levels involving subject area podcasts hosted by one of about 50 AI personalities they've created, including food expert claire delish gardener and nature expert nigel thistledown and ollie bennett who covers offbeat sports did they prompt chad tbd to have witty names chad tbd like why is there a whole company there should just be one person just like spinning up ai agents to produce this stuff i think i think their overhead i want the conspiracy theorist guy like mr tinfoil mr tinfoil yeah so this yeah like you said this kind of gives me the egg it's just like the ai model that's not the best it also reminds you ever you ever hear of um dead internet theory no it was like basically it was after you know like forums and other boards and everything started growing the point of the internet turning uh today where most of the interactions and comments and stuff on the internet is like bots and bots commenting and bots interaction and so that the actual like comment ecosystem on the internet is like not real people and it's just sort of this like dead internet most of it is not yeah that is statistically true this also contributes like feeds into the dead internet theory where just like the the bulk of action happening on the internet is not like people to people it's people to robots or just robots to robots like going back and forth which is not good because um future ai models will train on all this data i always wondered that from the start like wtf man yeah that was my always big question on when they started training the LLMs and they were pulling stuff from the internet and it's like okay you pull stuff from the internet and then you start writing blog posts and then you start putting the blog posts that were generated up there and now we're just gonna keep draining like it's like oh just our our knowledge point is gonna stop at like 2020 of like original stuff and then yeah everything after that is gonna be uh the new training is gonna be incorporating for sure I mean the lens that I will sort of I see this every day I work with image models, I work with AI.
24:48The minute you introduce synthetic AI images into a training set, like it really messes up. Yeah. Like if you're not careful about it, you're throwing off the whole training. Yeah, I see the Reddit comments and stuff where people are like, I got a data set here. It's like all synthetic stuff and they're like, get out of here. That's crap. Yeah. No, seriously. It's going to be crap. And you could tell which like AI models use a lot of synthetic data and the output is quite synthetic because of it. So I would imagine the same thing would apply for LLMs and stuff. If it's like reading through the comments of all the bots, it's going to sound like a bot.
25:20Yeah. Oh, here we go. Okay, they are using agents here. The episodes themselves are built using AI powered by 184 custom AI agents who work with several large language models, including OpenAI, Proplexity, Claw, Gemini, and more to build out the content. That's what I would have used. I mean, also like Google - Why not 185? 184 is - 184, yeah, it's very specific. Yeah, it also feels like something that Google would just like blow up in a second. Like if they just turned a notebook LM into a product or a service, which I'm sure eventually will happen. They'll just turn it into an API and then Riverside can grab that API and then turn it into a whole platform.
25:54I mean, I think Google would just do it all in their own full stack. Yes. I mean, and their notebook LM podcast is really good for learning information. Yeah. All right. Last one. Meta Ray-Ban glasses. So the good and the bad. I mean, overall, it sounds like pretty good. overall it sounds like they got apple scared uh like everybody's kind of um this is the internet reaction that i'm seeing wow those are great damn apple missed the boat on that one i mean or they're just like i mean well like we said before they're never first they're just usually yeah so like this is they've had the meta ray bands for a bit you know with the ray bands and the camera inside they're really good but these are the first ones that have a screen built in that you can see uh you can see a screen inside the glasses.
26:41I believe it's a tiny projector that's projecting on the right eye only. Okay, just one eye. Yeah. Yeah, it's small. It's like 800 by 800 pixels, I think. Yeah. It reminds me more of the snap spectacles that I tested at AWE that are way chunkier in the build. I think they're supposed to be a lot smaller next year, but similar where it's like a very kind of narrow-ish field of view, and you can kind of see alerts and information and stuff. It's chunkier, but it's also super light. i think it's like i mean these ray-bans look good i mean they've got like a little chunky in the and the thing for the battery the thing is all battery like yeah the bridges or whatever um i think it's only 130 grams or something like that whereas like a action like a real ray-ban wayfarer is like 70 grams oh okay so it's like just twice as heavy but it's got compute right on it and batteries and all that stuff yeah what did the uh i think was it the verge or someone called it They said that this is the first thing that has felt like what Google Glass promised.
27:38Everybody's crapping on Google. Well, it was like what they promised 10, 15 years ago. This is like the first thing that actually delivers on that vision. Yeah. So, yeah. I mean, what do you think about uses and stuff for this? I think a daily personal assistant thing, just notifications and managing calendars. If you're walking around the street, you know, directions, like all those obvious things. Great. What most people don't think of glasses as is a listening device and a personal one. The speakers are like right above your ear and they're really good. So I wore the first gen meta Ray-Bans and then I was just listening to some music.
28:14And then I asked, like, the guy was literally this far away. I was like, can you hear any of it? Like, no. Oh, wow. Oh, that's cool. So like they could replace your AirPods. You know, whatever you wear your AirPods for, you could just wear a pair of glasses. And now you have ear and vision. It's got the built-in meta AI chatbot and can show you pictures and text your answers to questions. So it also feels like it has a bit of that smart AI element that they, I think you could do translations too, like that they showed with the AirPods. That would be nice. But you know, this one, you can see things and sort of interact with the world.
28:45Yeah, I mean, it feels like the best first step for like actually useful AR glasses. I have an interesting use case. You might want to run this up by Lightcraft. Okay. AI Glass VCAM. oh so you kind of see like uh yeah so like you're crafting the shot instead of holding a device you're just like kind of doing this with your head and doing a chicken like a director of you find your thing where you're yeah you're like you're like doing this right yeah you look like i was thinking i thought you were saying like oh you could see uh like you could see uh the camera the camera feed or something in your glasses sure that could be because i remember uh strata they did that test when the when the apple vision pro came out and then they like rigged it up so that the ac could have the uh viewfinder in their apple vision pro and pull focus like using that the apple vision pro that's super useful especially if it's a large set and the guy's like way the out there i mean i don't think you would want to pull focus on a 800 by 800 pixel screen no you pinch to zoom man you do one of these the other thing i don't think it can it doesn't have um um like spatial mapping i don't like it can't no no right because like that was the other thing that the snap spectacles could do yeah they they could they could identify surfaces and stuff yeah it's doing slam tracking animation on uh on a physical surface i don't think these can do that yet i'm sure that's obviously planned the other thing they announced too which didn't really get as much coverage was they also have a partnership with oakley and they released like smart oakley oh i didn't know that okay yeah a display free oh wait i thought they had displays in them never I thought these were the the other thing I want to cover is a thing though so they have this like smart wristband thing that is essentially reading all your muscle contractions and then figuring out yeah control dude that thing has been in research land for like 20 years I remember in like the early 2010s we were trying to use a lot of that for motion capture because we could just eliminate finger gloves and all that and just like capture and it was not quite there yet that that's also why like when apple finally does release something like this it's probably just gonna like blow everything else out because they're already they have like the groundwork because like spoken like a true fanboy they're gonna blow everything out man are you sure joey i mean i'm not 100 sure but i mean they have a pretty good shot but because they really have the apple watch and that apple watch already does can track pinching gesture control yes they'll have the glasses or whatever they'll have the like phone with the crazy processors built in connected to it because it's also like it there's only a lot of this stuff only works with your phone nearby because the phone's doing the processing on the medical on the uh the meta glasses yeah so look apple has the groundwork and they have the what would make you want to get one of these right now like what would i joey go spend 800 on this yeah that's a good question i i think it would have to have it would have to you need to have some sort of like ar uh in like like spatial mapping or something like it would have to be something like i don't need a screen in the corner of my face to see like like a text message like i don't i don't care yeah like so i don't really care enough about that it would need to have like something where it could you know plop displays or graphics or on the wall or on the uh table or if i'm like walking around a city like actually like show arrows and like map directions and stuff would you use the cameras at all maybe i I mean, the camera thing has been kind of appealing for just like being cool to grab a quick shot of this or something of like a POV.
32:17I can't think of any like professional memories. Professional use. Yeah. I mean, I can't like aside from virtual location scouting or something like. I'll imagine like a police officer. I can't think of where headsets have even. Police officer would have great use for this. Like instead of body cam, in addition to the body cam, they have this camera and then whatever. Yeah, I could pull up information. like the stuff they would go back to their car for the computer on heavy ai integration and all that included with it yeah and you would need like fast processing and data connections and stuff like that and a battery that or if you're working at like amazon warehouse or any kind of big industrial facility then you know you have relevant information pulled up with vision and everything i don't know yeah it's been tough it's also got a little tough for me too is i don't wear glasses so So it's not like it'd be like it's a it's a it would be a new like beyond just like the tech decision, just like a personal style slash, you know, changing my day to day wear to wear glasses.
33:15Yeah. So, yeah, it's a good question. That's a good question. And these are heavy. Yeah. The pros would have to significantly outweigh the nuisance of wearing glasses every day. Yeah. I mean, the Apple Vision Pro, I've only used it a few times, but that's, you know, that's such a different like that. it's something where you could theoretically be traveling or something or bring up a bunch of screens and change the way you work a little bit yeah a smart glasses yeah the other like um i've been wearing smart watches for i don't know a long time now since the gen one apple watch and uh now i can't live without them two main reasons one is all of the watches that i used to have would drift in time over time yeah so like even like a minute off is you know it's too much yeah these things are obviously all synced.
34:00Everything's synced. Yeah. The second is I kept missing meetings because I never would get the calendar invites and stuff. And now I get the meeting invites and all the numbers. Yeah. So now I feel like I look like a professional person, but this thing's helping me do that. Yeah. So I think if those two things were put on the glasses, then I could maybe not wear the watch. Yeah. I mean, the fitness thing, I could see that be useful for glasses. um yeah so i could see stuff without having to pull my phone out or see like metrics and stuff yeah that would be useful okay it's such a big lift where it's like it feels like a very dedicated like full-time athlete kind of purchase yeah it's like a nice to have i mean the the tech companies want us to wear the watch the airpod the glasses and then the last thing is they jack us in with neural link and we're just toast just like maybe that's the thing with the matrix and what the matrix got wrong was that like the robots forced everyone yeah to plug into a battery in reality it's just gonna we're gonna voluntarily plug ourselves in 100 it's like that world is way better you know you're just gonna have more fun just just just just yeah it's gonna be more like uh ready player one oasis exactly we're voluntarily gonna go there yep all right so yeah that's a roundup for today all right we'll be back next week with the ai roundup later in the week this week i'll have some shout outs uh so spotify has been getting some cool comments uh those of you who are listening or viewing on Spotify, thank you for doing that.
35:25Paul Trapani, thank you for your comment. Olali92, thank you for your comment. And again, if you're just new to this, you know that little rating, if you give us a little five-star rating, that goes such a long way. Please consider doing that. And yeah, also shout out to Robert Flowers TV for a good commenter on YouTube. And so, yeah, thanks for the action. Thank you. Glad you commented about ComfyCloud. so oh yeah i'm excited about seeing that coming too joey and i were just talking about having more comfy ui episodes so we were yeah so yeah if you've got anything specific you want to see we will try to break it down uh links for everything we're talking about at denoisedpodcast.com thanks for watching we'll catch you at a roundup this friday
From the publisher
Addy and Joey explore Google's collaboration with Michael Keaton on 'Sweetwater,' an AI-integrated short film, and examine a company planning to produce 5,000 AI podcasts at just $1 per episode. They also assess Meta's new Ray-Ban smart glasses and discuss the plateauing intelligence of large language models.
--
The views and opinions expressed in this podcast are the personal views of the hosts and do not necessarily reflect the views or positions of their respective employers or organizations. This show is independently produced by VP Land without the use of any outside company resources, confidential information, or affiliations.




