00:15:53 · Jordi Hays, John Coogan, Tyler
[00:15:53] S1: I am working on pulling up Muse Image. Let's Here we go. Go through Alex Wang as a host. Cool. Let's pull this up. [00:16:02] S0: Okay. Muse image, Muse video, Muse image, whole bunch of very detailed badges printed all in one image. He says releasing Muse image today, the first image generation model from MSL. It is crazy that they didn't have any, like back when it was fair, did they do anything with Image? Did they because they had that amazing model segment anything, so they were doing work on images, and, obviously, they processed a ton of images. It pairs with Muse Spark to reason through your prompts, search the web, and plan before it generates. People get what they mean on the first try live now in the Meta AI app. Very, very fun. Even puts a realistic QR code in there and can do infographics and old Polaroids as well. Big Sur, August 1983. Looks great. Three things Alex Wang is excited about under the hood. Self refinement. The model improves its own output within its chain of thought, emerged during RRL, not by design. Multi reference composition. Many images blended into one coherent generation. Multi turn editing. Iterate without losing coherence or starting over. Make an image of this person riding a bike, this bike, and wearing this suit while passing by these people on a park bench. Make it look like a drawing in this style. That's cool. So you can upload multiple images and sort of drop them in in his various prompts. What you got, Tyler? [00:17:28] S2: Yes. So Meta Fair did release a number of image models. [00:17:31] S0: Oh, really?
00:17:31 · John Coogan, Tyler, Jordi Hays
[00:17:31] S0: Oh, really? [00:17:31] S2: So there was a I think it's pronounced chameleon in 2023. There was emu, also 2023, and then there was another, like, version of chameleon. But I think they were I they were somewhat different than the, like, Diffusion, which was, like, popular at the time. I think they were all auto aggressive [00:17:48] S0: Mhmm. [00:17:48] S2: Transformer, which is, like, how you get the good tech stuff like that. [00:17:51] S0: Oh, [00:17:51] S2: okay. But I I believe this is a different [00:17:53] S0: That's cool. [00:17:54] S1: Theme. Yeah. [00:17:55] S0: And Alex is also previewing Muse video, competitive on prompt adherence, visual fidelity, temporal consistency, coming to Meta AI. This has gotta be GPU intensive if they actually roll this out to everyone. Although Meta AI does have a smaller install base than Instagram. But, I mean, imagine And you really push this in Meta AI and everyone's buy all the [00:18:18] S1: GPUs for?
00:18:18 · Jordi Hays, John Coogan
[00:18:18] S1: GPUs for? [00:18:19] S0: You gotta you gotta get people generating stuff. I I completely agree. I think put this in the hands of the the modern Instagram creator. Let them have fun with it and see you already have the algorithm to filter the slop out. The stuff that is sloppy but still entertaining and creative will surface to the top. So congrats to them on a successful launch. Let's tell you about Railway. Railway is the only one intelligent cloud provider, user favorite agent to deploy web app servers, databases, and more while Railway automatically takes care of scaling, monitoring, and security. And let's click over to Jeremy Gaffan on why he doesn't worry about AI taking jobs, a very, very interesting take on the latest episode.
00:19:04 · Jeremy Giffon, John McElhone, John Coogan
[00:19:04] S4: This idea of we're gonna run out of jobs. To me, it's like very obvious that every, certainly every white collar job is like totally fake and made up in the sense that like they are not contingent for shelter and food and medicine and other necessities. But most jobs do not touch those or if they do, they touch it in a very, very derivative way. What is your job as an allocator? It's like, well, because capital is inherently inflationary, you have to, you can't just leave it alone. And so like, my job is like when you have money and you don't want it to go away, you have to give it to someone. And so you you give it to a bunch of people, and then I take it and I put it into things that are productive, and then hopefully you don't lose your money, you get more money. And like, is this useful? Is this good? Yeah. Sure. But like, it's not real. And to me, there's like unlimited Yeah. [00:19:56] S5: Amounts of [00:19:57] S4: jobs that you can create in those sorts of scenarios. We're gonna have unlimited wants and desires and and and our economy is solely driven by our unconsiderable desire to consume things. And so [00:20:06] S0: we need things to to consume. [00:20:08] S4: And now, again, in the short term and medium term, that might be volatile and there might be a lot of job loss, etcetera, and, you know, that's not good and, you know, there could be a lot of despair. But in in in the long run, like, we're just gonna invent new things to do. Like, we've already [00:20:21] S5: solved all of
00:20:21 · John McElhone, Jeremy Giffon, Jordi Hays, John Coogan
[00:20:21] S5: solved all of [00:20:22] S4: our problems. Like, the worry about, oh, we're not gonna have more jobs. It just doesn't really resonate because I feel like they dress makeup stuff for us to do, and that's sort of the whole point of it. [00:20:35] S1: That makes me think we need an invest like the best soundtrack. [00:20:40] S0: Do need an invest like the best soundtrack. Let's play the other clip that Patrick shared. The West Coast is definitely eating the East Coast. [00:20:49] S4: The founder is incredibly important and sort of the the founding act is incredibly important in in any business. I I do think that it's notable that, like, the current paradigm in which we live, the largest and most important finance firms come out of a culture of leveraged buyout, which it's extractive in so far as the primary goal is to make a thing more profitable. The core idea behind it is, like, using debt and financial engineering to make a lot of money in a way that the quality of the business itself is maybe ancillary to the core [00:21:23] S1: a second. [00:21:23] S0: In the [00:21:25] S1: Afterglow says, my god. What an obnoxious soundboard. Unwatchable. [00:21:32] S5: Sorry. It [00:21:32] S0: is a little loud today. I feel like the soundboard's coming in a little bit hot. We're sorry about that. But we're having fun here. And, of course, we don't wanna we don't wanna pirate the entire invest like the best episode. We gotta tease it a [00:21:44] S1: little be a good use case for AI if we can make a separate show that's just the show, but an agent in real time With
00:21:44 · Jordi Hays, John Coogan
[00:21:44] S1: little be a good use case for AI if we can make a separate show that's just the show, but an agent in real time With [00:21:52] S0: the soundboard. [00:21:53] S1: The sound effect and just has a normal show, no sound. [00:21:56] S0: Sure. Sure. So you can choose whether you want the soundboard version of the show or the not or or the [00:22:03] S1: Tyler says don't be sorry. That's why I'm here. Tyler's just here for the soundboard. So after I'm not the one. Unfortunately, there's people that are here that don't like the soundboard. There's people that are here only because of the soundboard. Exactly. We are trying to find the middle ground, and we don't always get it right. [00:22:15] S0: It's sort of [00:22:15] S1: We don't always get it right, but we're trying to.