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Get ready for the first-ever Audience Audition Tales on That One Audition! Host Alyshia kicks off this brand-new series, handing the mic to the real MVPs — the listeners. This week's spotlight features Christy St. John, who lands a Netflix Christmas movie with an audition that took a wildly unexpected turn, and Adena Artale, who proves that even a Zoom disaster can turn into a win. Packed with laughs, lessons, and a reminder that the audition grind is all about mindset, this episode is your backstage pass to the real stories that keep us all going.

Today On With Mario Lopez – Mario's long time friend Melissa Joan Hart zooms in to talk new Lifetime movie and upcoming Netflix Christmas film! Plus, we make more Oscars predictions, latest buzz and the case of the stolen baby name in Courtney's Court!See omnystudio.com/listener for privacy information.

It's sad, but Christmas is officially over! We stayed Festive til' February (#FTF) and to wrap up the season we're discussing the new Netflix Christmas action movieCarry On. We did our best not to mention Die Hard BUT, we failed.Instagram: @heyitstwogirls, @classicSTINA, @daniellecobianchiTwitter: @heyitstwogirls, @classicSTINA⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Two Girls Drink Beer Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Due to overwhelming demand (>15x applications:slots), we are closing CFPs for AI Engineer Summit NYC today. Last call! Thanks, we'll be reaching out to all shortly!The world's top AI blogger and friend of every pod, Simon Willison, dropped a monster 2024 recap: Things we learned about LLMs in 2024. Brian of the excellent TechMeme Ride Home pinged us for a connection and a special crossover episode, our first in 2025. The target audience for this podcast is a tech-literate, but non-technical one. You can see Simon's notes for AI Engineers in his World's Fair Keynote.Timestamp* 00:00 Introduction and Guest Welcome* 01:06 State of AI in 2025* 01:43 Advancements in AI Models* 03:59 Cost Efficiency in AI* 06:16 Challenges and Competition in AI* 17:15 AI Agents and Their Limitations* 26:12 Multimodal AI and Future Prospects* 35:29 Exploring Video Avatar Companies* 36:24 AI Influencers and Their Future* 37:12 Simplifying Content Creation with AI* 38:30 The Importance of Credibility in AI* 41:36 The Future of LLM User Interfaces* 48:58 Local LLMs: A Growing Interest* 01:07:22 AI Wearables: The Next Big Thing* 01:10:16 Wrapping Up and Final ThoughtsTranscript[00:00:00] Introduction and Guest Welcome[00:00:00] Brian: Welcome to the first bonus episode of the Tech Meme Write Home for the year 2025. I'm your host as always, Brian McCullough. Listeners to the pod over the last year know that I have made a habit of quoting from Simon Willison when new stuff happens in AI from his blog. Simon has been, become a go to for many folks in terms of, you know, Analyzing things, criticizing things in the AI space.[00:00:33] Brian: I've wanted to talk to you for a long time, Simon. So thank you for coming on the show. No, it's a privilege to be here. And the person that made this connection happen is our friend Swyx, who has been on the show back, even going back to the, the Twitter Spaces days but also an AI guru in, in their own right Swyx, thanks for coming on the show also.[00:00:54] swyx (2): Thanks. I'm happy to be on and have been a regular listener, so just happy to [00:01:00] contribute as well.[00:01:00] Brian: And a good friend of the pod, as they say. Alright, let's go right into it.[00:01:06] State of AI in 2025[00:01:06] Brian: Simon, I'm going to do the most unfair, broad question first, so let's get it out of the way. The year 2025. Broadly, what is the state of AI as we begin this year?[00:01:20] Brian: Whatever you want to say, I don't want to lead the witness.[00:01:22] Simon: Wow. So many things, right? I mean, the big thing is everything's got really good and fast and cheap. Like, that was the trend throughout all of 2024. The good models got so much cheaper, they got so much faster, they got multimodal, right? The image stuff isn't even a surprise anymore.[00:01:39] Simon: They're growing video, all of that kind of stuff. So that's all really exciting.[00:01:43] Advancements in AI Models[00:01:43] Simon: At the same time, they didn't get massively better than GPT 4, which was a bit of a surprise. So that's sort of one of the open questions is, are we going to see huge, but I kind of feel like that's a bit of a distraction because GPT 4, but way cheaper, much larger context lengths, and it [00:02:00] can do multimodal.[00:02:01] Simon: is better, right? That's a better model, even if it's not.[00:02:05] Brian: What people were expecting or hoping, maybe not expecting is not the right word, but hoping that we would see another step change, right? Right. From like GPT 2 to 3 to 4, we were expecting or hoping that maybe we were going to see the next evolution in that sort of, yeah.[00:02:21] Brian: We[00:02:21] Simon: did see that, but not in the way we expected. We thought the model was just going to get smarter, and instead we got. Massive drops in, drops in price. We got all of these new capabilities. You can talk to the things now, right? They can do simulated audio input, all of that kind of stuff. And so it's kind of, it's interesting to me that the models improved in all of these ways we weren't necessarily expecting.[00:02:43] Simon: I didn't know it would be able to do an impersonation of Santa Claus, like a, you know, Talked to it through my phone and show it what I was seeing by the end of 2024. But yeah, we didn't get that GPT 5 step. And that's one of the big open questions is, is that actually just around the corner and we'll have a bunch of GPT 5 class models drop in the [00:03:00] next few months?[00:03:00] Simon: Or is there a limit?[00:03:03] Brian: If you were a betting man and wanted to put money on it, do you expect to see a phase change, step change in 2025?[00:03:11] Simon: I don't particularly for that, like, the models, but smarter. I think all of the trends we're seeing right now are going to keep on going, especially the inference time compute, right?[00:03:21] Simon: The trick that O1 and O3 are doing, which means that you can solve harder problems, but they cost more and it churns away for longer. I think that's going to happen because that's already proven to work. I don't know. I don't know. Maybe there will be a step change to a GPT 5 level, but honestly, I'd be completely happy if we got what we've got right now.[00:03:41] Simon: But cheaper and faster and more capabilities and longer contexts and so forth. That would be thrilling to me.[00:03:46] Brian: Digging into what you've just said one of the things that, by the way, I hope to link in the show notes to Simon's year end post about what, what things we learned about LLMs in 2024. Look for that in the show notes.[00:03:59] Cost Efficiency in AI[00:03:59] Brian: One of the things that you [00:04:00] did say that you alluded to even right there was that in the last year, you felt like the GPT 4 barrier was broken, like IE. Other models, even open source ones are now regularly matching sort of the state of the art.[00:04:13] Simon: Well, it's interesting, right? So the GPT 4 barrier was a year ago, the best available model was OpenAI's GPT 4 and nobody else had even come close to it.[00:04:22] Simon: And they'd been at the, in the lead for like nine months, right? That thing came out in what, February, March of, of 2023. And for the rest of 2023, nobody else came close. And so at the start of last year, like a year ago, the big question was, Why has nobody beaten them yet? Like, what do they know that the rest of the industry doesn't know?[00:04:40] Simon: And today, that I've counted 18 organizations other than GPT 4 who've put out a model which clearly beats that GPT 4 from a year ago thing. Like, maybe they're not better than GPT 4. 0, but that's, that, that, that barrier got completely smashed. And yeah, a few of those I've run on my laptop, which is wild to me.[00:04:59] Simon: Like, [00:05:00] it was very, very wild. It felt very clear to me a year ago that if you want GPT 4, you need a rack of 40, 000 GPUs just to run the thing. And that turned out not to be true. Like the, the, this is that big trend from last year of the models getting more efficient, cheaper to run, just as capable with smaller weights and so forth.[00:05:20] Simon: And I ran another GPT 4 model on my laptop this morning, right? Microsoft 5. 4 just came out. And that, if you look at the benchmarks, it's definitely, it's up there with GPT 4. 0. It's probably not as good when you actually get into the vibes of the thing, but it, it runs on my, it's a 14 gigabyte download and I can run it on a MacBook Pro.[00:05:38] Simon: Like who saw that coming? The most exciting, like the close of the year on Christmas day, just a few weeks ago, was when DeepSeek dropped their DeepSeek v3 model on Hugging Face without even a readme file. It was just like a giant binary blob that I can't run on my laptop. It's too big. But in all of the benchmarks, it's now by far the best available [00:06:00] open, open weights model.[00:06:01] Simon: Like it's, it's, it's beating the, the metalamas and so forth. And that was trained for five and a half million dollars, which is a tenth of the price that people thought it costs to train these things. So everything's trending smaller and faster and more efficient.[00:06:15] Brian: Well, okay.[00:06:16] Challenges and Competition in AI[00:06:16] Brian: I, I kind of was going to get to that later, but let's, let's combine this with what I was going to ask you next, which is, you know, you're talking, you know, Also in the piece about the LLM prices crashing, which I've even seen in projects that I'm working on, but explain Explain that to a general audience, because we hear all the time that LLMs are eye wateringly expensive to run, but what we're suggesting, and we'll come back to the cheap Chinese LLM, but first of all, for the end user, what you're suggesting is that we're starting to see the cost come down sort of in the traditional technology way of Of costs coming down over time,[00:06:49] Simon: yes, but very aggressively.[00:06:51] Simon: I mean, my favorite thing, the example here is if you look at GPT-3, so open AI's g, PT three, which was the best, a developed model in [00:07:00] 2022 and through most of 20 2023. That, the models that we have today, the OpenAI models are a hundred times cheaper. So there was a 100x drop in price for OpenAI from their best available model, like two and a half years ago to today.[00:07:13] Simon: And[00:07:14] Brian: just to be clear, not to train the model, but for the use of tokens and things. Exactly,[00:07:20] Simon: for running prompts through them. And then When you look at the, the really, the top tier model providers right now, I think, are OpenAI, Anthropic, Google, and Meta. And there are a bunch of others that I could list there as well.[00:07:32] Simon: Mistral are very good. The, the DeepSeq and Quen models have got great. There's a whole bunch of providers serving really good models. But even if you just look at the sort of big brand name providers, they all offer models now that are A fraction of the price of the, the, of the models we were using last year.[00:07:49] Simon: I think I've got some numbers that I threw into my blog entry here. Yeah. Like Gemini 1. 5 flash, that's Google's fast high quality model is [00:08:00] how much is that? It's 0. 075 dollars per million tokens. Like these numbers are getting, So we just do cents per million now,[00:08:09] swyx (2): cents per million,[00:08:10] Simon: cents per million makes, makes a lot more sense.[00:08:12] Simon: Yeah they have one model 1. 5 flash 8B, the absolute cheapest of the Google models, is 27 times cheaper than GPT 3. 5 turbo was a year ago. That's it. And GPT 3. 5 turbo, that was the cheap model, right? Now we've got something 27 times cheaper, and the Google, this Google one can do image recognition, it can do million token context, all of those tricks.[00:08:36] Simon: But it's, it's, it's very, it's, it really is startling how inexpensive some of this stuff has got.[00:08:41] Brian: Now, are we assuming that this, that happening is directly the result of competition? Because again, you know, OpenAI, and probably they're doing this for their own almost political reasons, strategic reasons, keeps saying, we're losing money on everything, even the 200.[00:08:56] Brian: So they probably wouldn't, the prices wouldn't be [00:09:00] coming down if there wasn't intense competition in this space.[00:09:04] Simon: The competition is absolutely part of it, but I have it on good authority from sources I trust that Google Gemini is not operating at a loss. Like, the amount of electricity to run a prompt is less than they charge you.[00:09:16] Simon: And the same thing for Amazon Nova. Like, somebody found an Amazon executive and got them to say, Yeah, we're not losing money on this. I don't know about Anthropic and OpenAI, but clearly that demonstrates it is possible to run these things at these ludicrously low prices and still not be running at a loss if you discount the Army of PhDs and the, the training costs and all of that kind of stuff.[00:09:36] Brian: One, one more for me before I let Swyx jump in here. To, to come back to DeepSeek and this idea that you could train, you know, a cutting edge model for 6 million. I, I was saying on the show, like six months ago, that if we are getting to the point where each new model It would cost a billion, ten billion, a hundred billion to train that.[00:09:54] Brian: At some point it would almost, only nation states would be able to train the new models. Do you [00:10:00] expect what DeepSeek and maybe others are proving to sort of blow that up? Or is there like some sort of a parallel track here that maybe I'm not technically, I don't have the mouse to understand the difference.[00:10:11] Brian: Is the model, are the models going to go, you know, Up to a hundred billion dollars or can we get them down? Sort of like DeepSeek has proven[00:10:18] Simon: so I'm the wrong person to answer that because I don't work in the lab training these models. So I can give you my completely uninformed opinion, which is, I felt like the DeepSeek thing.[00:10:27] Simon: That was a bomb shell. That was an absolute bombshell when they came out and said, Hey, look, we've trained. One of the best available models and it cost us six, five and a half million dollars to do it. I feel, and they, the reason, one of the reasons it's so efficient is that we put all of these export controls in to stop Chinese companies from giant buying GPUs.[00:10:44] Simon: So they've, were forced to be, go as efficient as possible. And yet the fact that they've demonstrated that that's possible to do. I think it does completely tear apart this, this, this mental model we had before that yeah, the training runs just keep on getting more and more expensive and the number of [00:11:00] organizations that can afford to run these training runs keeps on shrinking.[00:11:03] Simon: That, that's been blown out of the water. So yeah, that's, again, this was our Christmas gift. This was the thing they dropped on Christmas day. Yeah, it makes me really optimistic that we can, there are, It feels like there was so much low hanging fruit in terms of the efficiency of both inference and training and we spent a whole bunch of last year exploring that and getting results from it.[00:11:22] Simon: I think there's probably a lot left. I think there's probably, well, I would not be surprised to see even better models trained spending even less money over the next six months.[00:11:31] swyx (2): Yeah. So I, I think there's a unspoken angle here on what exactly the Chinese labs are trying to do because DeepSea made a lot of noise.[00:11:41] swyx (2): so much for joining us for around the fact that they train their model for six million dollars and nobody quite quite believes them. Like it's very, very rare for a lab to trumpet the fact that they're doing it for so cheap. They're not trying to get anyone to buy them. So why [00:12:00] are they doing this? They make it very, very obvious.[00:12:05] swyx (2): Deepseek is about 150 employees. It's an order of magnitude smaller than at least Anthropic and maybe, maybe more so for OpenAI. And so what's, what's the end game here? Are they, are they just trying to show that the Chinese are better than us?[00:12:21] Simon: So Deepseek, it's the arm of a hedge, it's a, it's a quant fund, right?[00:12:25] Simon: It's an algorithmic quant trading thing. So I, I, I would love to get more insight into how that organization works. My assumption from what I've seen is it looks like they're basically just flexing. They're like, hey, look at how utterly brilliant we are with this amazing thing that we've done. And it's, it's working, right?[00:12:43] Simon: They but, and so is that it? Are they, is this just their kind of like, this is, this is why our company is so amazing. Look at this thing that we've done, or? I don't know. I'd, I'd love to get Some insight from, from within that industry as to, as to how that's all playing out.[00:12:57] swyx (2): The, the prevailing theory among the Local Llama [00:13:00] crew and the Twitter crew that I indexed for my newsletter is that there is some amount of copying going on.[00:13:06] swyx (2): It's like Sam Altman you know, tweet, tweeting about how they're being copied. And then also there's this, there, there are other sort of opening eye employees that have said, Stuff that is similar that DeepSeek's rate of progress is how U. S. intelligence estimates the number of foreign spies embedded in top labs.[00:13:22] swyx (2): Because a lot of these ideas do spread around, but they surprisingly have a very high density of them in the DeepSeek v3 technical report. So it's, it's interesting. We don't know how much, how many, how much tokens. I think that, you know, people have run analysis on how often DeepSeek thinks it is cloud or thinks it is opening GPC 4.[00:13:40] swyx (2): Thanks for watching! And we don't, we don't know. We don't know. I think for me, like, yeah, we'll, we'll, we basically will never know as, as external commentators. I think what's interesting is how, where does this go? Is there a logical floor or bottom by my estimations for the same amount of ELO started last year to the end of last year cost went down by a thousand X for the [00:14:00] GPT, for, for GPT 4 intelligence.[00:14:02] swyx (2): Would, do they go down a thousand X this year?[00:14:04] Simon: That's a fascinating question. Yeah.[00:14:06] swyx (2): Is there a Moore's law going on, or did we just get a one off benefit last year for some weird reason?[00:14:14] Simon: My uninformed hunch is low hanging fruit. I feel like up until a year ago, people haven't been focusing on efficiency at all. You know, it was all about, what can we get these weird shaped things to do?[00:14:24] Simon: And now once we've sort of hit that, okay, we know that we can get them to do what GPT 4 can do, When thousands of researchers around the world all focus on, okay, how do we make this more efficient? What are the most important, like, how do we strip out all of the weights that have stuff in that doesn't really matter?[00:14:39] Simon: All of that kind of thing. So yeah, maybe that was it. Maybe 2024 was a freak year of all of the low hanging fruit coming out at once. And we'll actually see a reduction in the, in that rate of improvement in terms of efficiency. I wonder, I mean, I think we'll know for sure in about three months time if that trend's going to continue or not.[00:14:58] swyx (2): I agree. You know, I [00:15:00] think the other thing that you mentioned that DeepSeq v3 was the gift that was given from DeepSeq over Christmas, but I feel like the other thing that might be underrated was DeepSeq R1,[00:15:11] Speaker 4: which is[00:15:13] swyx (2): a reasoning model you can run on your laptop. And I think that's something that a lot of people are looking ahead to this year.[00:15:18] swyx (2): Oh, did they[00:15:18] Simon: release the weights for that one?[00:15:20] swyx (2): Yeah.[00:15:21] Simon: Oh my goodness, I missed that. I've been playing with the quen. So the other great, the other big Chinese AI app is Alibaba's quen. Actually, yeah, I, sorry, R1 is an API available. Yeah. Exactly. When that's really cool. So Alibaba's Quen have released two reasoning models that I've run on my laptop.[00:15:38] Simon: Now there was, the first one was Q, Q, WQ. And then the second one was QVQ because the second one's a vision model. So you can like give it vision puzzles and a prompt that these things, they are so much fun to run. Because they think out loud. It's like the OpenAR 01 sort of hides its thinking process. The Query ones don't.[00:15:59] Simon: They just, they [00:16:00] just churn away. And so you'll give it a problem and it will output literally dozens of paragraphs of text about how it's thinking. My favorite thing that happened with QWQ is I asked it to draw me a pelican on a bicycle in SVG. That's like my standard stupid prompt. And for some reason it thought in Chinese.[00:16:18] Simon: It spat out a whole bunch of like Chinese text onto my terminal on my laptop, and then at the end it gave me quite a good sort of artistic pelican on a bicycle. And I ran it all through Google Translate, and yeah, it was like, it was contemplating the nature of SVG files as a starting point. And the fact that my laptop can think in Chinese now is so delightful.[00:16:40] Simon: It's so much fun watching you do that.[00:16:43] swyx (2): Yeah, I think Andrej Karpathy was saying, you know, we, we know that we have achieved proper reasoning inside of these models when they stop thinking in English, and perhaps the best form of thought is in Chinese. But yeah, for listeners who don't know Simon's blog he always, whenever a new model comes out, you, I don't know how you do it, but [00:17:00] you're always the first to run Pelican Bench on these models.[00:17:02] swyx (2): I just did it for 5.[00:17:05] Simon: Yeah.[00:17:07] swyx (2): So I really appreciate that. You should check it out. These are not theoretical. Simon's blog actually shows them.[00:17:12] Brian: Let me put on the investor hat for a second.[00:17:15] AI Agents and Their Limitations[00:17:15] Brian: Because from the investor side of things, a lot of the, the VCs that I know are really hot on agents, and this is the year of agents, but last year was supposed to be the year of agents as well. Lots of money flowing towards, And Gentic startups.[00:17:32] Brian: But in in your piece that again, we're hopefully going to have linked in the show notes, you sort of suggest there's a fundamental flaw in AI agents as they exist right now. Let me let me quote you. And then I'd love to dive into this. You said, I remain skeptical as to their ability based once again, on the Challenge of gullibility.[00:17:49] Brian: LLMs believe anything you tell them, any systems that attempt to make meaningful decisions on your behalf, will run into the same roadblock. How good is a travel agent, or a digital assistant, or even a research tool, if it [00:18:00] can't distinguish truth from fiction? So, essentially, what you're suggesting is that the state of the art now that allows agents is still, it's still that sort of 90 percent problem, the edge problem, getting to the Or, or, or is there a deeper flaw?[00:18:14] Brian: What are you, what are you saying there?[00:18:16] Simon: So this is the fundamental challenge here and honestly my frustration with agents is mainly around definitions Like any if you ask anyone who says they're working on agents to define agents You will get a subtly different definition from each person But everyone always assumes that their definition is the one true one that everyone else understands So I feel like a lot of these agent conversations, people talking past each other because one person's talking about the, the sort of travel agent idea of something that books things on your behalf.[00:18:41] Simon: Somebody else is talking about LLMs with tools running in a loop with a cron job somewhere and all of these different things. You, you ask academics and they'll laugh at you because they've been debating what agents mean for over 30 years at this point. It's like this, this long running, almost sort of an in joke in that community.[00:18:57] Simon: But if we assume that for this purpose of this conversation, an [00:19:00] agent is something that, Which you can give a job and it goes off and it does that thing for you like, like booking travel or things like that. The fundamental challenge is, it's the reliability thing, which comes from this gullibility problem.[00:19:12] Simon: And a lot of my, my interest in this originally came from when I was thinking about prompt injections as a source of this form of attack against LLM systems where you deliberately lay traps out there for this LLM to stumble across,[00:19:24] Brian: and which I should say you have been banging this drum that no one's gotten any far, at least on solving this, that I'm aware of, right.[00:19:31] Brian: Like that's still an open problem. The two years.[00:19:33] Simon: Yeah. Right. We've been talking about this problem and like, a great illustration of this was Claude so Anthropic released Claude computer use a few months ago. Fantastic demo. You could fire up a Docker container and you could literally tell it to do something and watch it open a web browser and navigate to a webpage and click around and so forth.[00:19:51] Simon: Really, really, really interesting and fun to play with. And then, um. One of the first demos somebody tried was, what if you give it a web page that says download and run this [00:20:00] executable, and it did, and the executable was malware that added it to a botnet. So the, the very first most obvious dumb trick that you could play on this thing just worked, right?[00:20:10] Simon: So that's obviously a really big problem. If I'm going to send something out to book travel on my behalf, I mean, it's hard enough for me to figure out which airlines are trying to scam me and which ones aren't. Do I really trust a language model that believes the literal truth of anything that's presented to it to go out and do those things?[00:20:29] swyx (2): Yeah I definitely think there's, it's interesting to see Anthropic doing this because they used to be the safety arm of OpenAI that split out and said, you know, we're worried about letting this thing out in the wild and here they are enabling computer use for agents. Thanks. The, it feels like things have merged.[00:20:49] swyx (2): You know, I'm, I'm also fairly skeptical about, you know, this always being the, the year of Linux on the desktop. And this is the equivalent of this being the year of agents that people [00:21:00] are not predicting so much as wishfully thinking and hoping and praying for their companies and agents to work.[00:21:05] swyx (2): But I, I feel like things are. Coming along a little bit. It's to me, it's kind of like self driving. I remember in 2014 saying that self driving was just around the corner. And I mean, it kind of is, you know, like in, in, in the Bay area. You[00:21:17] Simon: get in a Waymo and you're like, Oh, this works. Yeah, but it's a slow[00:21:21] swyx (2): cook.[00:21:21] swyx (2): It's a slow cook over the next 10 years. We're going to hammer out these things and the cynical people can just point to all the flaws, but like, there are measurable or concrete progress steps that are being made by these builders.[00:21:33] Simon: There is one form of agent that I believe in. I believe, mostly believe in the research assistant form of agents.[00:21:39] Simon: The thing where you've got a difficult problem and, and I've got like, I'm, I'm on the beta for the, the Google Gemini 1. 5 pro with deep research. I think it's called like these names, these names. Right. But. I've been using that. It's good, right? You can give it a difficult problem and it tells you, okay, I'm going to look at 56 different websites [00:22:00] and it goes away and it dumps everything to its context and it comes up with a report for you.[00:22:04] Simon: And it's not, it won't work against adversarial websites, right? If there are websites with deliberate lies in them, it might well get caught out. Most things don't have that as a problem. And so I've had some answers from that which were genuinely really valuable to me. And that feels to me like, I can see how given existing LLM tech, especially with Google Gemini with its like million token contacts and Google with their crawl of the entire web and their, they've got like search, they've got search and cache, they've got a cache of every page and so forth.[00:22:35] Simon: That makes sense to me. And that what they've got right now, I don't think it's, it's not as good as it can be, obviously, but it's, it's, it's, it's a real useful thing, which they're going to start rolling out. So, you know, Perplexity have been building the same thing for a couple of years. That, that I believe in.[00:22:50] Simon: You know, if you tell me that you're going to have an agent that's a research assistant agent, great. The coding agents I mean, chat gpt code interpreter, Nearly two years [00:23:00] ago, that thing started writing Python code, executing the code, getting errors, rewriting it to fix the errors. That pattern obviously works.[00:23:07] Simon: That works really, really well. So, yeah, coding agents that do that sort of error message loop thing, those are proven to work. And they're going to keep on getting better, and that's going to be great. The research assistant agents are just beginning to get there. The things I'm critical of are the ones where you trust, you trust this thing to go out and act autonomously on your behalf, and make decisions on your behalf, especially involving spending money, like that.[00:23:31] Simon: I don't see that working for a very long time. That feels to me like an AGI level problem.[00:23:37] swyx (2): It's it's funny because I think Stripe actually released an agent toolkit which is one of the, the things I featured that is trying to enable these agents each to have a wallet that they can go and spend and have, basically, it's a virtual card.[00:23:49] swyx (2): It's not that, not that difficult with modern infrastructure. can[00:23:51] Simon: stick a 50 cap on it, then at least it's an honor. Can't lose more than 50.[00:23:56] Brian: You know I don't, I don't know if either of you know Rafat Ali [00:24:00] he runs Skift, which is a, a travel news vertical. And he, he, he constantly laughs at the fact that every agent thing is, we're gonna get rid of booking a, a plane flight for you, you know?[00:24:11] Brian: And, and I would point out that, like, historically, when the web started, the first thing everyone talked about is, You can go online and book a trip, right? So it's funny for each generation of like technological advance. The thing they always want to kill is the travel agent. And now they want to kill the webpage travel agent.[00:24:29] Simon: Like it's like I use Google flight search. It's great, right? If you gave me an agent to do that for me, it would save me, I mean, maybe 15 seconds of typing in my things, but I still want to see what my options are and go, yeah, I'm not flying on that airline, no matter how cheap they are.[00:24:44] swyx (2): Yeah. For listeners, go ahead.[00:24:47] swyx (2): For listeners, I think, you know, I think both of you are pretty positive on NotebookLM. And you know, we, we actually interviewed the NotebookLM creators, and there are actually two internal agents going on internally. The reason it takes so long is because they're running an agent loop [00:25:00] inside that is fairly autonomous, which is kind of interesting.[00:25:01] swyx (2): For one,[00:25:02] Simon: for a definition of agent loop, if you picked that particularly well. For one definition. And you're talking about the podcast side of this, right?[00:25:07] swyx (2): Yeah, the podcast side of things. They have a there's, there's going to be a new version coming out that, that we'll be featuring at our, at our conference.[00:25:14] Simon: That one's fascinating to me. Like NotebookLM, I think it's two products, right? On the one hand, it's actually a very good rag product, right? You dump a bunch of things in, you can run searches, that, that, it does a good job of. And then, and then they added the, the podcast thing. It's a bit of a, it's a total gimmick, right?[00:25:30] Simon: But that gimmick got them attention, because they had a great product that nobody paid any attention to at all. And then you add the unfeasibly good voice synthesis of the podcast. Like, it's just, it's, it's, it's the lesson.[00:25:43] Brian: It's the lesson of mid journey and stuff like that. If you can create something that people can post on socials, you don't have to lift a finger again to do any marketing for what you're doing.[00:25:53] Brian: Let me dig into Notebook LLM just for a second as a podcaster. As a [00:26:00] gimmick, it makes sense, and then obviously, you know, you dig into it, it sort of has problems around the edges. It's like, it does the thing that all sort of LLMs kind of do, where it's like, oh, we want to Wrap up with a conclusion.[00:26:12] Multimodal AI and Future Prospects[00:26:12] Brian: I always call that like the the eighth grade book report paper problem where it has to have an intro and then, you know But that's sort of a thing where because I think you spoke about this again in your piece at the year end About how things are going multimodal and how things are that you didn't expect like, you know vision and especially audio I think So that's another thing where, at least over the last year, there's been progress made that maybe you, you didn't think was coming as quick as it came.[00:26:43] Simon: I don't know. I mean, a year ago, we had one really good vision model. We had GPT 4 vision, was, was, was very impressive. And Google Gemini had just dropped Gemini 1. 0, which had vision, but nobody had really played with it yet. Like Google hadn't. People weren't taking Gemini [00:27:00] seriously at that point. I feel like it was 1.[00:27:02] Simon: 5 Pro when it became apparent that actually they were, they, they got over their hump and they were building really good models. And yeah, and they, to be honest, the video models are mostly still using the same trick. The thing where you divide the video up into one image per second and you dump that all into the context.[00:27:16] Simon: So maybe it shouldn't have been so surprising to us that long context models plus vision meant that the video was, was starting to be solved. Of course, it didn't. Not being, you, what you really want with videos, you want to be able to do the audio and the images at the same time. And I think the models are beginning to do that now.[00:27:33] Simon: Like, originally, Gemini 1. 5 Pro originally ignored the audio. It just did the, the, like, one frame per second video trick. As far as I can tell, the most recent ones are actually doing pure multimodal. But the things that opens up are just extraordinary. Like, the the ChatGPT iPhone app feature that they shipped as one of their 12 days of, of OpenAI, I really can be having a conversation and just turn on my video camera and go, Hey, what kind of tree is [00:28:00] this?[00:28:00] Simon: And so forth. And it works. And for all I know, that's just snapping a like picture once a second and feeding it into the model. The, the, the things that you can do with that as an end user are extraordinary. Like that, that to me, I don't think most people have cottoned onto the fact that you can now stream video directly into a model because it, it's only a few weeks old.[00:28:22] Simon: Wow. That's a, that's a, that's a, that's Big boost in terms of what kinds of things you can do with this stuff. Yeah. For[00:28:30] swyx (2): people who are not that close I think Gemini Flashes free tier allows you to do something like capture a photo, one photo every second or a minute and leave it on 24, seven, and you can prompt it to do whatever.[00:28:45] swyx (2): And so you can effectively have your own camera app or monitoring app that that you just prompt and it detects where it changes. It detects for, you know, alerts or anything like that, or describes your day. You know, and, and, and the fact that this is free I think [00:29:00] it's also leads into the previous point of it being the prices haven't come down a lot.[00:29:05] Simon: And even if you're paying for this stuff, like a thing that I put in my blog entry is I ran a calculation on what it would cost to process 68, 000 photographs in my photo collection, and for each one just generate a caption, and using Gemini 1. 5 Flash 8B, it would cost me 1. 68 to process 68, 000 images, which is, I mean, that, that doesn't make sense.[00:29:28] Simon: None of that makes sense. Like it's, it's a, for one four hundredth of a cent per image to generate captions now. So you can see why feeding in a day's worth of video just isn't even very expensive to process.[00:29:40] swyx (2): Yeah, I'll tell you what is expensive. It's the other direction. So we're here, we're talking about consuming video.[00:29:46] swyx (2): And this year, we also had a lot of progress, like probably one of the most excited, excited, anticipated launches of the year was Sora. We actually got Sora. And less exciting.[00:29:55] Simon: We did, and then VO2, Google's Sora, came out like three [00:30:00] days later and upstaged it. Like, Sora was exciting until VO2 landed, which was just better.[00:30:05] swyx (2): In general, I feel the media, or the social media, has been very unfair to Sora. Because what was released to the world, generally available, was Sora Lite. It's the distilled version of Sora, right? So you're, I did not[00:30:16] Simon: realize that you're absolutely comparing[00:30:18] swyx (2): the, the most cherry picked version of VO two, the one that they published on the marketing page to the, the most embarrassing version of the soa.[00:30:25] swyx (2): So of course it's gonna look bad, so, well, I got[00:30:27] Simon: access to the VO two I'm in the VO two beta and I've been poking around with it and. Getting it to generate pelicans on bicycles and stuff. I would absolutely[00:30:34] swyx (2): believe that[00:30:35] Simon: VL2 is actually better. Is Sora, so is full fat Sora coming soon? Do you know, when, when do we get to play with that one?[00:30:42] Simon: No one's[00:30:43] swyx (2): mentioned anything. I think basically the strategy is let people play around with Sora Lite and get info there. But the, the, keep developing Sora with the Hollywood studios. That's what they actually care about. Gotcha. Like the rest of us. Don't really know what to do with the video anyway. Right.[00:30:59] Simon: I mean, [00:31:00] that's my thing is I realized that for generative images and images and video like images We've had for a few years and I don't feel like they've broken out into the talented artist community yet Like lots of people are having fun with them and doing and producing stuff. That's kind of cool to look at but what I want you know that that movie everything everywhere all at once, right?[00:31:20] Simon: One, one ton of Oscars, utterly amazing film. The VFX team for that were five people, some of whom were watching YouTube videos to figure out what to do. My big question for, for Sora and and and Midjourney and stuff, what happens when a creative team like that starts using these tools? I want the creative geniuses behind everything, everywhere all at once.[00:31:40] Simon: What are they going to be able to do with this stuff in like a few years time? Because that's really exciting to me. That's where you take artists who are at the very peak of their game. Give them these new capabilities and see, see what they can do with them.[00:31:52] swyx (2): I should, I know a little bit here. So it should mention that, that team actually used RunwayML.[00:31:57] swyx (2): So there was, there was,[00:31:57] Simon: yeah.[00:31:59] swyx (2): I don't know how [00:32:00] much I don't. So, you know, it's possible to overstate this, but there are people integrating it. Generated video within their workflow, even pre SORA. Right, because[00:32:09] Brian: it's not, it's not the thing where it's like, okay, tomorrow we'll be able to do a full two hour movie that you prompt with three sentences.[00:32:15] Brian: It is like, for the very first part of, of, you know video effects in film, it's like, if you can get that three second clip, if you can get that 20 second thing that they did in the matrix that blew everyone's minds and took a million dollars or whatever to do, like, it's the, it's the little bits and pieces that they can fill in now that it's probably already there.[00:32:34] swyx (2): Yeah, it's like, I think actually having a layered view of what assets people need and letting AI fill in the low value assets. Right, like the background video, the background music and, you know, sometimes the sound effects. That, that maybe, maybe more palatable maybe also changes the, the way that you evaluate the stuff that's coming out.[00:32:57] swyx (2): Because people tend to, in social media, try to [00:33:00] emphasize foreground stuff, main character stuff. So you really care about consistency, and you, you really are bothered when, like, for example, Sorad. Botch's image generation of a gymnast doing flips, which is horrible. It's horrible. But for background crowds, like, who cares?[00:33:18] Brian: And by the way, again, I was, I was a film major way, way back in the day, like, that's how it started. Like things like Braveheart, where they filmed 10 people on a field, and then the computer could turn it into 1000 people on a field. Like, that's always been the way it's around the margins and in the background that first comes in.[00:33:36] Brian: The[00:33:36] Simon: Lord of the Rings movies were over 20 years ago. Although they have those giant battle sequences, which were very early, like, I mean, you could almost call it a generative AI approach, right? They were using very sophisticated, like, algorithms to model out those different battles and all of that kind of stuff.[00:33:52] Simon: Yeah, I know very little. I know basically nothing about film production, so I try not to commentate on it. But I am fascinated to [00:34:00] see what happens when, when these tools start being used by the real, the people at the top of their game.[00:34:05] swyx (2): I would say like there's a cultural war that is more that being fought here than a technology war.[00:34:11] swyx (2): Most of the Hollywood people are against any form of AI anyway, so they're busy Fighting that battle instead of thinking about how to adopt it and it's, it's very fringe. I participated here in San Francisco, one generative AI video creative hackathon where the AI positive artists actually met with technologists like myself and then we collaborated together to build short films and that was really nice and I think, you know, I'll be hosting some of those in my events going forward.[00:34:38] swyx (2): One thing that I think like I want to leave it. Give people a sense of it's like this is a recap of last year But then sometimes it's useful to walk away as well with like what can we expect in the future? I don't know if you got anything. I would also call out that the Chinese models here have made a lot of progress Hyde Law and Kling and God knows who like who else in the video arena [00:35:00] Also making a lot of progress like surprising him like I think maybe actually Chinese China is surprisingly ahead with regards to Open8 at least, but also just like specific forms of video generation.[00:35:12] Simon: Wouldn't it be interesting if a film industry sprung up in a country that we don't normally think of having a really strong film industry that was using these tools? Like, that would be a fascinating sort of angle on this. Mm hmm. Mm hmm.[00:35:25] swyx (2): Agreed. I, I, I Oh, sorry. Go ahead.[00:35:29] Exploring Video Avatar Companies[00:35:29] swyx (2): Just for people's Just to put it on people's radar as well, Hey Jen, there's like there's a category of video avatar companies that don't specifically, don't specialize in general video.[00:35:41] swyx (2): They only do talking heads, let's just say. And HeyGen sings very well.[00:35:45] Brian: Swyx, you know that that's what I've been using, right? Like, have, have I, yeah, right. So, if you see some of my recent YouTube videos and things like that, where, because the beauty part of the HeyGen thing is, I, I, I don't want to use the robot voice, so [00:36:00] I record the mp3 file for my computer, And then I put that into HeyGen with the avatar that I've trained it on, and all it does is the lip sync.[00:36:09] Brian: So it looks, it's not 100 percent uncanny valley beatable, but it's good enough that if you weren't looking for it, it's just me sitting there doing one of my clips from the show. And, yeah, so, by the way, HeyGen. Shout out to them.[00:36:24] AI Influencers and Their Future[00:36:24] swyx (2): So I would, you know, in terms of like the look ahead going, like, looking, reviewing 2024, looking at trends for 2025, I would, they basically call this out.[00:36:33] swyx (2): Meta tried to introduce AI influencers and failed horribly because they were just bad at it. But at some point that there will be more and more basically AI influencers Not in a way that Simon is but in a way that they are not human.[00:36:50] Simon: Like the few of those that have done well, I always feel like they're doing well because it's a gimmick, right?[00:36:54] Simon: It's a it's it's novel and fun to like Like that, the AI Seinfeld thing [00:37:00] from last year, the Twitch stream, you know, like those, if you're the only one or one of just a few doing that, you'll get, you'll attract an audience because it's an interesting new thing. But I just, I don't know if that's going to be sustainable longer term or not.[00:37:11] Simon: Like,[00:37:12] Simplifying Content Creation with AI[00:37:12] Brian: I'm going to tell you, Because I've had discussions, I can't name the companies or whatever, but, so think about the workflow for this, like, now we all know that on TikTok and Instagram, like, holding up a phone to your face, and doing like, in my car video, or walking, a walk and talk, you know, that's, that's very common, but also, if you want to do a professional sort of talking head video, you still have to sit in front of a camera, you still have to do the lighting, you still have to do the video editing, versus, if you can just record, what I'm saying right now, the last 30 seconds, If you clip that out as an mp3 and you have a good enough avatar, then you can put that avatar in front of Times Square, on a beach, or whatever.[00:37:50] Brian: So, like, again for creators, the reason I think Simon, we're on the verge of something, it, it just, it's not going to, I think it's not, oh, we're going to have [00:38:00] AI avatars take over, it'll be one of those things where it takes another piece of the workflow out and simplifies it. I'm all[00:38:07] Simon: for that. I, I always love this stuff.[00:38:08] Simon: I like tools. Tools that help human beings do more. Do more ambitious things. I'm always in favor of, like, that, that, that's what excites me about this entire field.[00:38:17] swyx (2): Yeah. We're, we're looking into basically creating one for my podcast. We have this guy Charlie, he's Australian. He's, he's not real, but he pre, he opens every show and we are gonna have him present all the shorts.[00:38:29] Simon: Yeah, go ahead.[00:38:30] The Importance of Credibility in AI[00:38:30] Simon: The thing that I keep coming back to is this idea of credibility like in a world that is full of like AI generated everything and so forth It becomes even more important that people find the sources of information that they trust and find people and find Sources that are credible and I feel like that's the one thing that LLMs and AI can never have is credibility, right?[00:38:49] Simon: ChatGPT can never stake its reputation on telling you something useful and interesting because That means nothing, right? It's a matrix multiplication. It depends on who prompted it and so forth. So [00:39:00] I'm always, and this is when I'm blogging as well, I'm always looking for, okay, who are the reliable people who will tell me useful, interesting information who aren't just going to tell me whatever somebody's paying them to tell, tell them, who aren't going to, like, type a one sentence prompt into an LLM and spit out an essay and stick it online.[00:39:16] Simon: And that, that to me, Like, earning that credibility is really important. That's why a lot of my ethics around the way that I publish are based on the idea that I want people to trust me. I want to do things that, that gain credibility in people's eyes so they will come to me for information as a trustworthy source.[00:39:32] Simon: And it's the same for the sources that I'm, I'm consulting as well. So that's something I've, I've been thinking a lot about that sort of credibility focus on this thing for a while now.[00:39:40] swyx (2): Yeah, you can layer or structure credibility or decompose it like so one thing I would put in front of you I'm not saying that you should Agree with this or accept this at all is that you can use AI to generate different Variations and then and you pick you as the final sort of last mile person that you pick The last output and [00:40:00] you put your stamp of credibility behind that like that everything's human reviewed instead of human origin[00:40:04] Simon: Yeah, if you publish something you need to be able to put it on the ground Publishing it.[00:40:08] Simon: You need to say, I will put my name to this. I will attach my credibility to this thing. And if you're willing to do that, then, then that's great.[00:40:16] swyx (2): For creators, this is huge because there's a fundamental asymmetry between starting with a blank slate versus choosing from five different variations.[00:40:23] Brian: Right.[00:40:24] Brian: And also the key thing that you just said is like, if everything that I do, if all of the words were generated by an LLM, if the voice is generated by an LLM. If the video is also generated by the LLM, then I haven't done anything, right? But if, if one or two of those, you take a shortcut, but it's still, I'm willing to sign off on it.[00:40:47] Brian: Like, I feel like that's where I feel like people are coming around to like, this is maybe acceptable, sort of.[00:40:53] Simon: This is where I've been pushing the definition. I love the term slop. Where I've been pushing the definition of slop as AI generated [00:41:00] content that is both unrequested and unreviewed and the unreviewed thing is really important like that's the thing that elevates something from slop to not slop is if A human being has reviewed it and said, you know what, this is actually worth other people's time.[00:41:12] Simon: And again, I'm willing to attach my credibility to it and say, hey, this is worthwhile.[00:41:16] Brian: It's, it's, it's the cura curational, curatorial and editorial part of it that no matter what the tools are to do shortcuts, to do, as, as Swyx is saying choose between different edits or different cuts, but in the end, if there's a curatorial mind, Or editorial mind behind it.[00:41:32] Brian: Let me I want to wedge this in before we start to close.[00:41:36] The Future of LLM User Interfaces[00:41:36] Brian: One of the things coming back to your year end piece that has been a something that I've been banging the drum about is when you're talking about LLMs. Getting harder to use. You said most users are thrown in at the deep end.[00:41:48] Brian: The default LLM chat UI is like taking brand new computer users, dropping them into a Linux terminal and expecting them to figure it all out. I mean, it's, it's literally going back to the command line. The command line was defeated [00:42:00] by the GUI interface. And this is what I've been banging the drum about is like, this cannot be.[00:42:05] Brian: The user interface, what we have now cannot be the end result. Do you see any hints or seeds of a GUI moment for LLM interfaces?[00:42:17] Simon: I mean, it has to happen. It absolutely has to happen. The the, the, the, the usability of these things is turning into a bit of a crisis. And we are at least seeing some really interesting innovation in little directions.[00:42:28] Simon: Just like OpenAI's chat GPT canvas thing that they just launched. That is at least. Going a little bit more interesting than just chat, chats and responses. You know, you can, they're exploring that space where you're collaborating with an LLM. You're both working in the, on the same document. That makes a lot of sense to me.[00:42:44] Simon: Like that, that feels really smart. The one of the best things is still who was it who did the, the UI where you could, they had a drawing UI where you draw an interface and click a button. TL draw would then make it real thing. That was spectacular, [00:43:00] absolutely spectacular, like, alternative vision of how you'd interact with these models.[00:43:05] Simon: Because yeah, the and that's, you know, so I feel like there is so much scope for innovation there and it is beginning to happen. Like, like, I, I feel like most people do understand that we need to do better in terms of interfaces that both help explain what's going on and give people better tools for working with models.[00:43:23] Simon: I was going to say, I want to[00:43:25] Brian: dig a little deeper into this because think of the conceptual idea behind the GUI, which is instead of typing into a command line open word. exe, it's, you, you click an icon, right? So that's abstracting away sort of the, again, the programming stuff that like, you know, it's, it's a, a, a child can tap on an iPad and, and make a program open, right?[00:43:47] Brian: The problem it seems to me right now with how we're interacting with LLMs is it's sort of like you know a dumb robot where it's like you poke it and it goes over here, but no, I want it, I want to go over here so you poke it this way and you can't get it exactly [00:44:00] right, like, what can we abstract away from the From the current, what's going on that, that makes it more fine tuned and easier to get more precise.[00:44:12] Brian: You see what I'm saying?[00:44:13] Simon: Yes. And the this is the other trend that I've been following from the last year, which I think is super interesting. It's the, the prompt driven UI development thing. Basically, this is the pattern where Claude Artifacts was the first thing to do this really well. You type in a prompt and it goes, Oh, I should answer that by writing a custom HTML and JavaScript application for you that does a certain thing.[00:44:35] Simon: And when you think about that take and since then it turns out This is easy, right? Every decent LLM can produce HTML and JavaScript that does something useful. So we've actually got this alternative way of interacting where they can respond to your prompt with an interactive custom interface that you can work with.[00:44:54] Simon: People haven't quite wired those back up again. Like, ideally, I'd want the LLM ask me a [00:45:00] question where it builds me a custom little UI, For that question, and then it gets to see how I interacted with that. I don't know why, but that's like just such a small step from where we are right now. But that feels like such an obvious next step.[00:45:12] Simon: Like an LLM, why should it, why should you just be communicating with, with text when it can build interfaces on the fly that let you select a point on a map or or move like sliders up and down. It's gonna create knobs and dials. I keep saying knobs and dials. right. We can do that. And the LLMs can build, and Claude artifacts will build you a knobs and dials interface.[00:45:34] Simon: But at the moment they haven't closed the loop. When you twiddle those knobs, Claude doesn't see what you were doing. They're going to close that loop. I'm, I'm shocked that they haven't done it yet. So yeah, I think there's so much scope for innovation and there's so much scope for doing interesting stuff with that model where the LLM, anything you can represent in SVG, which is almost everything, can now be part of that ongoing conversation.[00:45:59] swyx (2): Yeah, [00:46:00] I would say the best executed version of this I've seen so far is Bolt where you can literally type in, make a Spotify clone, make an Airbnb clone, and it actually just does that for you zero shot with a nice design.[00:46:14] Simon: There's a benchmark for that now. The LMRena people now have a benchmark that is zero shot app, app generation, because all of the models can do it.[00:46:22] Simon: Like it's, it's, I've started figuring out. I'm building my own version of this for my own project, because I think within six months. I think it'll just be an expected feature. Like if you have a web application, why don't you have a thing where, oh, look, the, you can add a custom, like, so for my dataset data exploration project, I want you to be able to do things like conjure up a dashboard, just via a prompt.[00:46:43] Simon: You say, oh, I need a pie chart and a bar chart and put them next to each other, and then have a form where submitting the form inserts a row into my database table. And this is all suddenly feasible. It's, it's, it's not even particularly difficult to do, which is great. Utterly bizarre that these things are now easy.[00:47:00][00:47:00] swyx (2): I think for a general audience, that is what I would highlight, that software creation is becoming easier and easier. Gemini is now available in Gmail and Google Sheets. I don't write my own Google Sheets formulas anymore, I just tell Gemini to do it. And so I think those are, I almost wanted to basically somewhat disagree with, with your assertion that LMS got harder to use.[00:47:22] swyx (2): Like, yes, we, we expose more capabilities, but they're, they're in minor forms, like using canvas, like web search in, in in chat GPT and like Gemini being in, in Excel sheets or in Google sheets, like, yeah, we're getting, no,[00:47:37] Simon: no, no, no. Those are the things that make it harder, because the problem is that for each of those features, they're amazing.[00:47:43] Simon: If you understand the edges of the feature, if you're like, okay, so in Google, Gemini, Excel formulas, I can get it to do a certain amount of things, but I can't get it to go and read a web. You probably can't get it to read a webpage, right? But you know, there are, there are things that it can do and things that it can't do, which are completely undocumented.[00:47:58] Simon: If you ask it what it [00:48:00] can and can't do, they're terrible at answering questions about that. So like my favorite example is Claude artifacts. You can't build a Claude artifact that can hit an API somewhere else. Because the cause headers on that iframe prevents accessing anything outside of CDNJS. So, good luck learning cause headers as an end user in order to understand why Like, I've seen people saying, oh, this is rubbish.[00:48:26] Simon: I tried building an artifact that would run a prompt and it couldn't because Claude didn't expose an API with cause headers that all of this stuff is so weird and complicated. And yeah, like that, that, the more that with the more tools we add, the more expertise you need to really, To understand the full scope of what you can do.[00:48:44] Simon: And so it's, it's, I wouldn't say it's, it's, it's, it's like, the question really comes down to what does it take to understand the full extent of what's possible? And honestly, that, that's just getting more and more involved over time.[00:48:58] Local LLMs: A Growing Interest[00:48:58] swyx (2): I have one more topic that I, I [00:49:00] think you, you're kind of a champion of and we've touched on it a little bit, which is local LLMs.[00:49:05] swyx (2): And running AI applications on your desktop, I feel like you are an early adopter of many, many things.[00:49:12] Simon: I had an interesting experience with that over the past year. Six months ago, I almost completely lost interest. And the reason is that six months ago, the best local models you could run, There was no point in using them at all, because the best hosted models were so much better.[00:49:26] Simon: Like, there was no point at which I'd choose to run a model on my laptop if I had API access to Cloud 3. 5 SONNET. They just, they weren't even comparable. And that changed, basically, in the past three months, as the local models had this step changing capability, where now I can run some of these local models, and they're not as good as Cloud 3.[00:49:45] Simon: 5 SONNET, but they're not so far away that It's not worth me even using them. The other, the, the, the, the continuing problem is I've only got 64 gigabytes of RAM, and if you run, like, LLAMA370B, it's not going to work. Most of my RAM is gone. So now I have to shut down my Firefox tabs [00:50:00] and, and my Chrome and my VS Code windows in order to run it.[00:50:03] Simon: But it's got me interested again. Like, like the, the efficiency improvements are such that now, if you were to like stick me on a desert island with my laptop, I'd be very productive using those local models. And that's, that's pretty exciting. And if those trends continue, and also, like, I think my next laptop, if when I buy one is going to have twice the amount of RAM, At which point, maybe I can run the, almost the top tier, like open weights models and still be able to use it as a computer as well.[00:50:32] Simon: NVIDIA just announced their 3, 000 128 gigabyte monstrosity. That's pretty good price. You know, that's that's, if you're going to buy it,[00:50:42] swyx (2): custom OS and all.[00:50:46] Simon: If I get a job, if I, if, if, if I have enough of an income that I can justify blowing $3,000 on it, then yes.[00:50:52] swyx (2): Okay, let's do a GoFundMe to get Simon one it.[00:50:54] swyx (2): Come on. You know, you can get a job anytime you want. Is this, this is just purely discretionary .[00:50:59] Simon: I want, [00:51:00] I want a job that pays me to do exactly what I'm doing already and doesn't tell me what else to do. That's, thats the challenge.[00:51:06] swyx (2): I think Ethan Molik does pretty well. Whatever, whatever it is he's doing.[00:51:11] swyx (2): But yeah, basically I was trying to bring in also, you know, not just local models, but Apple intelligence is on every Mac machine. You're, you're, you seem skeptical. It's rubbish.[00:51:21] Simon: Apple intelligence is so bad. It's like, it does one thing well.[00:51:25] swyx (2): Oh yeah, what's that? It summarizes notifications. And sometimes it's humorous.[00:51:29] Brian: Are you sure it does that well? And also, by the way, the other, again, from a sort of a normie point of view. There's no indication from Apple of when to use it. Like, everybody upgrades their thing and it's like, okay, now you have Apple Intelligence, and you never know when to use it ever again.[00:51:47] swyx (2): Oh, yeah, you consult the Apple docs, which is MKBHD.[00:51:49] swyx (2): The[00:51:51] Simon: one thing, the one thing I'll say about Apple Intelligence is, One of the reasons it's so disappointing is that the models are just weak, but now, like, Llama 3b [00:52:00] is Such a good model in a 2 gigabyte file I think give Apple six months and hopefully they'll catch up to the state of the art on the small models And then maybe it'll start being a lot more interesting.[00:52:10] swyx (2): Yeah. Anyway, I like This was year one And and you know just like our first year of iPhone maybe maybe not that much of a hit and then year three They had the App Store so Hey I would say give it some time, and you know, I think Chrome also shipping Gemini Nano I think this year in Chrome, which means that every app, every web app will have for free access to a local model that just ships in the browser, which is kind of interesting.[00:52:38] swyx (2): And then I, I think I also wanted to just open the floor for any, like, you know, any of us what are the apps that, you know, AI applications that we've adopted that have, that we really recommend because these are all, you know, apps that are running on our browser that like, or apps that are running locally that we should be, that, that other people should be trying.[00:52:55] swyx (2): Right? Like, I, I feel like that's, that's one always one thing that is helpful at the start of the [00:53:00] year.[00:53:00] Simon: Okay. So for running local models. My top picks, firstly, on the iPhone, there's this thing called MLC Chat, which works, and it's easy to install, and it runs Llama 3B, and it's so much fun. Like, it's not necessarily a capable enough novel that I use it for real things, but my party trick right now is I get my phone to write a Netflix Christmas movie plot outline where, like, a bunch of Jeweller falls in love with the King of Sweden or whatever.[00:53:25] Simon: And it does a good job and it comes up with pun names for the movies. And that's, that's deeply entertaining. On my laptop, most recently, I've been getting heavy into, into Olama because the Olama team are very, very good at finding the good models and patching them up and making them work well. It gives you an API.[00:53:42] Simon: My little LLM command line tool that has a plugin that talks to Olama, which works really well. So that's my, my Olama is. I think the easiest on ramp to to running models locally, if you want a nice user interface, LMStudio is, I think, the best user interface [00:54:00] thing at that. It's not open source. It's good.[00:54:02] Simon: It's worth playing with. The other one that I've been trying with recently, there's a thing called, what's it called? Open web UI or something. Yeah. The UI is fantastic. It, if you've got Olama running and you fire this thing up, it spots Olama and it gives you an interface onto your Olama models. And t

Mason and Ireland are back together for the new year! The guys dive into the current state of the NBA and if the product is good or bad? What are the numbers around the Netflix Christmas day games? Who did the Dodgers sign today out of Korea? Who will the Dodgers be bringing back from their championship roster? Wheel of Questions! Pepe Mantilla and Mychal Thompson join the guys in the studio! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Tis the season... kind of! It's time for our belated holiday episode where we do another watchalong of an unhinged Netflix Christmas movie together. This time it's the bafflingly titled Hot Frosty, which I will not elaborate upon because this is a ride best experienced blind. Queue it up on Netflix and join us for an extra injection of bizarre holiday cheer. Hey! Check this out: Arcane S2 (Netflix) Bamboo Labs A1 3D Printer Path of Exile 2 Immortality (Steam) LOGOS1, the new EP by Pineal Scream: https://pinealscream.bandcamp.com/album/logos1

Evaluating the NFL's Netflix Christmas experience, and the guys make their predictions for Week 1700:00 - NFL's Netflix Christmas experience09:23 - Chiefs are the Complete Team15:33 - George Pickens is a Pain20:50 - Lamar is the Man25:21 - Concerned for Stroud?30:31 - Week 17 PicksVisit https://Captainmorgan.com to find Captain near you. Please drink responsibly. CAPTAIN MORGAN Original Spiced Rum 35 percent alcohol by volume. Captain Morgan Rum Company, New York, NY.Watch Blitzball Battle 5 NOW: https://www.youtube.com/@WarehouseGamesFeaturing: Bobby Skinner and Justin PenikEdited by: Connor KurpatFollow all of our content on https://jomboymedia.com

In the first hour of 3 Man Front Pat Smith, Landrum Roberts, Conrad Van Order and Molly Robinson recapped their Christmases and Netflix's big day, discussed Jim Larranaga stepping down and caught up with Wimp Sanderson! See omnystudio.com/listener for privacy information.

Mike and Charles on the Netflix Christmas experiment. BANG BANG! LeBron trolls the NFL. The CFB Playoffs debut with full stadiums but four lousy games. Some internal squabbling at the "Worldwide Leader", Jason's Wormbyte and the Mike Smith Sports Moment of the Week. We are off next week so Happy New Year!

Thursday's Daily Puck Drop with Jason “Puck” Puckett featured his weekly guests: Mike Garafolo, NFL Network and Michael-Shawn Dugar, The Athletic. Puck opens up the show the day after Christmas chatting about the Seahawks must win vs. the Chicago Bears on Thursday night and the current mess at Washington State with President Kirk Schulz, the Board of Regents and former coach Jake Dickert. John Canzano, JohnCanzano.com reports that Schulz was ordered by the board of regents to give $2 and perhaps $4 million dollars to the football program after they started 7-1, but Schulz withheld that information for WSU AD Anne McCoy and nobody can figure out why?18:43 - Mike Garafolo, NFL Network joins the show to talk about the Seahawks must win game vs. the Bears on Thursday night. They also discuss the coaching future of Pete Carroll in the NFL, are the Bears in play?  Are we headed to a breakup with Ryan Grubb and Mike Macdonald? Netflix Christmas game thoughts. Kansas City peaking at the right time. Josh Allen or Lamar Jackson for MVP?50:21 - Dugar Report with Michael-Shawn Dugar, The Athletic….The Seahawks put themselves into this spot that it's a must win against Chicago.  Geno Smith and Mike Macdonald have developed a strong relationship, something to keep an eye on on, according to Michael-Shawn when they head to the offseason and discuss the future of Geno. Mike tries to answer what is going on with Riq Woolen.  What are the playoff scenarios for the Seahawks as they head into their matchup against Chicago and the help they need from the Arizona Cardinals.  Does Mike like the idea of Pete Carroll returning to the NFL and perhaps doing so in Chicago?1:17:15 - “Hey, What the Puck?!” If WSU President Kirk Schulz withheld money directed to the football program from his athletic director than Schulz needs to be removed from office immediately. 

Minnesota Vikings News Dump for Thursday, December 26th.  --- A Northern Digital Production

8:30am Hour 3: Thoughts on Netflix broadcasting two games on Christmas.

We return with Myth Movie Night to explore a wild, very silly Netflix Christmas movie: Hot Frosty. We discuss dick scarf physics, bad business practices, Mean Girls references, and the horniest ice sculptor in the world.   Content Warning: This episode contains conversations about or mentions of drug use, global warming, illness (cancer), death, sexual content, and imprisonment.    Housekeeping - Recommendation: This week, Julia recommends Animal Well. - Books: Check out our previous book recommendations, guests' books, and more at spiritspodcast.com/books - Call to Action: Check out Big Game Hunger! - Submit Your Urban Legends Audio: Call us! 617-420-2344   Sponsors - Shaker & Spoon is a subscription cocktail service that helps you learn how to make hand-crafted cocktails right at home. Get $20 off your first box at shakerandspoon.com/cool   Find Us Online - Website & Transcripts: spiritspodcast.com - Patreon: patreon.com/spiritspodcast - Merch: spiritspodcast.com/merch - Instagram: instagram.com/spiritspodcast - Bluesky: bsky.app/profile/spiritspodcast.com - Twitter: twitter.com/spiritspodcast - Tumblr: spiritspodcast.tumblr.com - Goodreads: goodreads.com/group/show/205387   Cast & Crew - Co-Hosts: Julia Schifini and Amanda McLoughlin - Editor: Bren Frederick - Music: Brandon Grugle, based on "Danger Storm" by Kevin MacLeod - Artwork: Allyson Wakeman - Multitude: multitude.productions   About Us Spirits is a boozy podcast about mythology, legends, and folklore. Every episode, co-hosts Julia and Amanda mix a drink and discuss a new story or character from a wide range of places, eras, and cultures. Learn brand-new stories and enjoy retellings of your favorite myths, served over ice every week, on Spirits.

Movie recommendations or comments for us? Text us here!We're watching another Netflix Christmas rom com this week: Hot Frosty, starring Lacey Chabert and Dustin Milligan. Kathy hasn't been doing well since her husband died. She misses him and the whole town is a little worried about her. A friend gives her a magical scarf to bring her luck in starting a new romantic relationship. It's in her hands all of five minutes before she's given it to a very human-looking snowman... who just so happens to look like the new guy running around town the next morning... And wait, where did the snow sculpture go?Check out this movie on Netflix and give us a listen today!Email us at MadeMePodcast@gmail.comFind us on:Facebook: www.facebook.com/MadeMePodcastInstagram: https://www.instagram.com/myhusbandmademedoit/ Podcast artwork by Anna Eggleton of Treehouse Lettering & Design: https://www.treehouseletteringanddesign.com/

On this special Christmas episode, the boys are reviewing the newest Netflix Christmas movie, 'Carry On'. A mysterious traveler blackmails a young TSA agent into letting a dangerous package slip through security and onto a Christmas Eve flight. (00:00 - Carry On Review)

AP correspondent Shelley Adler reports on where to watch the NFL on Christmas.

Grab your Old Crones and Crones In Training because Paul, June, Jason and Jessica St. Clair (The Deep Dive) break down the Netflix Christmas classic, The Knight Before Christmas, starring Vanessa Hudgens. They explore the Netflix Christmas Cinematic Universe, Incognito Mode, and the source of Jessica's ‘tech issues' is revealed. (Originally Released 12/23/2021) Tix for our Spring 2025 tour in Austin, Denver, Seattle, Boise, San Fran, Portland, & Los Angeles are on sale now at hdtgm.com.Order Paul's book about his childhood: Joyful Recollections of TraumaFor extra content on Matinee Monday movies, visit Paul's YouTube page: youtube.com/paulscheerTalk bad movies on the HDTGM Discord: discord.gg/hdtgmPaul's Discord: discord.gg/paulscheerFollow Paul's movie recs on Letterboxd: letterboxd.com/paulscheer/Check out new HDTGM movie merch over at teepublic.com/stores/hdtgmPaul and Rob Huebel stream live on Twitch every Thursday 8-10pm EST: www.twitch.tv/friendzoneLike good movies too? Subscribe to Unspooled with Paul and Amy Nicholson: listen.earwolf.com/unspooledSubscribe to The Deep Dive with Jessica St. Clair and June Diane Raphael: www.thedeepdiveacademy.com/podcastWhere to find Paul, June, & Jason:@PaulScheer on Instagram & Twitter@Junediane on IG and @MsJuneDiane on TwitterJason is not on social mediaGet access to all the podcasts you love, music channels and radio shows with the SiriusXM App! Get 3 months free using the link: siriusxm.com/hdtgm.

Detroit Lions beat the Chicago Bears, RIP Rickey Henderson, Eli Zaret stops by, Beast Games, and Rashone tells off Kwame Kilpatrick. Eli Zaret drops by to recap the Lions victory over the Chicago Bears, Philadelphia Eagles QB Jalen Hurts is hurt, Drew's JaMo Derangement Syndrome, Lions BLOW OUT DB Brandon Joseph after his DUI arrest, Netflix Christmas football, NBA ratings falling, Eli's flailing CFB bets, Kirk Herbstreit vs OSU fans, RIP Rickey Henderson, Doug Gottlieb's multiple gigs & multiple beefs, Charlie Woods' hole-in-one, and Trinity Rodman vs her dad Dennis Rodman. JP Morgan Chase is refusing to pay a widower's pension. It's only $53K. SNL has been pretty good the last two weeks. The drones won't stop droning. Not even the Coast Guard is safe. Politics: Joe Biden had a hell of a 2024. Nancy Pelosi received some nice COVID funds. Lots of pardons are being handed out. Hawk Tuah Hailey Welch breaks her silence. She TOTALLY wrote this too. Beast Games is a real life Squid Game… minus the murder. Rashone Bryant joins the show to boast of his History Channel appearance, discuss his brush with Kwame Kilpatrick and more. Megyn Kelly vs. Carlos Watson. His Ozy Media was built on fraud. The Talk is officially over and Jerry O'Connell cried. Bhad Bhabie has drama… with Alabama Barker. Kate Cassidy got angel wings tattooed on her for Liam Payne. Liam seemed bound to die. Nikki Glaser likes Taylor Swift too much. Music: The Top Grossing Tours of 2024. ‘Nothing Else Matters' is charting for Metallica again because of a video game. Diddy is being sued yet AGAIN! This time it's a woman that won a radio contest. Drake is suing Kendrick Lamar for defamation. Kaitlin Armstrong evidence was released, but we already knew about it. No Royal Christmas for Prince Andrew. He gets a palace, instead. 5 killed and 200 injured by a Saudi Arabian nut in Germany. Amanda Bynes looks great (for Amanda) at some rando art show. More Sports: Adrian Peterson has a warrant out for his arrest due to child support payments. Cam Newton went to strip clubs to beat guys. OBJ is finished with the Miami Dolphins. The New York Sack Exchange aired on ESPN's 30 for 30. Kim K gifted her BFF a Cybertruck. Visit our presenting sponsor Hall Financial – Michigan's highest rated mortgage company. If you'd like to help support the show… consider subscribing to our YouTube Channel, Facebook, Instagram and Twitter (The Drew Lane Show, Marc Fellhauer, Trudi Daniels, Jim Bentley and BranDon).

Heya, it's the holiday season so Nick and Ciarán have on the Wine Queens (Josie Parkinson and Kate Cheka) to talk about the Netflix Christmas movies Hot Frosty (2024) and The Royal Treatment (2022). Part 2 is available now but only on Patreon.com/cornerspaeti We'll be off for a week and back to you in the new year. To you and yours, we wish you a very merry cum. FIND OUR GUESTS: Kate Cheka: https://katecheka.co.uk/ Kate's show: https://sohotheatre.com/events/kate-cheka-a-messiah-comes/?fbclid=PAZXh0bgNhZW0CMTEAAaYQkWcss73m0qjrSI2NIWTeZtDFuIzSsWMP0OLex6SXIo4-GbIuE-nFnvIaemQakNbY51INfLA6u1EnRwRg Josie Parkinson: https://josieparkinson.com/ HOW TO SUPPORT US: https://www.patreon.com/cornerspaeti HOW TO REACH US: Bluesky https://bsky.app/profile/cornerspaeti.bsky.social Twitter https://twitter.com/cornerspaeti Instagram https://www.instagram.com/cornerspaeti/ Julia https://twitter.com/KMarxiana Rob https://twitter.com/leninkraft Nick https://bsky.app/profile/lilouzovert.bsky.social Uma https://twitter.com/umawrnkl Ciarán https://bsky.app/profile/ciarandold.bsky.social Special Guests: Josie Parkinson and Kate Cheka.

This month we delve into the Netflix Christmas special Hot Frosty, the animated series The Dragon Prince, and the Lockwood & Co. book series.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Let's be honest, we really just wanted to relax a bit before the holidays. Especially after having so many heavy Arcane discussions. So please join us in our light exploration of some Snowdown AU's. Oh and maybe some Netflix Christmas movie recs. Have you seen the one with Lindsay Lohan? No not that one! The title? WHY would I know that?! ---------- WE HAVE MERCH!bit.ly/loreheadmerch Twitter! twitter.com/loreheads Discord! https://t.co/o21E0W4C8z?amp=1 Twitch! twitch.tv/loreheads Patreon! https://www.patreon.com/leagueofloreheads Song Title | Snowdown 2018Artist | League of LegendsCourtesy of Riot Games https://na.leagueoflegends.com/en-us/news/community/riot-music-creator-safe-guidelines/Image by Yuri_B from Pixabay - book with sparkles

Enjoy a riff of this year's holiday movies from Netflix with The Rewinders Podcast. Line up the sound of the Netflix logo and enjoy the movie with commentary from Joe, Ken, Andy, and Dan. They watch it once, riff it once, and probably never watch it again.

Welcome to News You Need to Know with Shawn Bolz! Merry Christmas! Today, we dive into some shocking releases this holiday season, including two highly controversial films—one starring Jack Black as a boy's new best friend (Satan) and an animated Netflix Christmas movie for kids that mocks the nativity and even jokes about aborting baby Jesus. What is happening?!   But it's not all bad news. Amid the noise, there are incredible redemptive themes and moments in entertainment this season—some directly pointing to Jesus, others indirectly carrying hope, faith, and love.   We'll explore how to navigate the good and the bad in entertainment without losing the true spirit of Christmas. Plus, we'll highlight where Jesus is showing up in unexpected places this holiday season.   Tune in for an eye-opening discussion that will help you engage culture with faith and hope this Christmas! Watch on YouTube: https://youtu.be/bq25gnN-KAY Come join me on my Social Media:  Facebook: Shawnbolz Twitter: ShawnBolz Instagram: ShawnBolz TikTok: ShawnBolz YouTube: ShawnBolzofficial Find me on TV: TBN: https://www.tbn.org/people/shawn-bolz Watch my series on the names of God: Discovering God series: https://bit.ly/3erdrJ9 Watch my series on hearing God's voice: Translating God series: https://bit.ly/3xbcSd5 Watch my weekly series/Vodcast on CBN News Network: Exploring the Marketplace https://bit.ly/3B81e41 Join me for my podcasts on Charisma Podcast Network: News Commentary: Prophetic Perspectives:  https://bit.ly/3L9b5ej Exploring the Marketplace: https://bit.ly/3QyHoo5 Exploring the Prophetic:  https://bit.ly/3QyHoo5 Take a class or attend an event at our Spiritual Growth Academy: Our 4 week classes and monthly events are designed to do the heavy lifting in your spiritual growth journey. Learn how to hear from God, stay spiritually healthy, and impact the world around you: https://bit.ly/3B2luDR Take a read:  Translating God - Hearing God's voice for yourself and the world around you https://bit.ly/3RU2X3F Encounter - A spiritual encounter that will shape your faith https://bit.ly/3tNAW4Y Through the Eyes of Love - http://bit.ly/2pitHTb Wired to Hear - Hearing God's voice for your place of career and influence https://bit.ly/3kLsMn9 Growing Up With God - Chapter book and kids curriculum https://bit.ly/3eDRF5a Keys to Heaven's Economy - Understanding the resources for your destiny: https://bit.ly/3TZAc7u Read my articles: At CBN News : https://bit.ly/3BtwSdp At Charisma News : https://bit.ly/3RxPJtz Email My Assistant: events@bolzministries.com Our resources: resources@bolzministries.com Our office: info@bolzministries.com

Mix one scarf gift - one chiseled "snow man" - and a keyboard playing sheriff to get the first holiday film for riffing this year. Hot Frosty leaves you with questions, and possibilities. Join Joe, Ken, Andy, and Dan as they watch it once, riff it once, and never watch it again. Also, line up the sound of the Netflix logo to enjoy all the riffing while you watch!

Steph, John & Dave settle down to gulp down a massive mug of Netflix Christmas! It's the live-action, trope-challenging, rom-com with abs of steel and a warm heart wrapped up in a magical scarf! That's right, it's time for the Netflix Original HOT FROSTY!Follow us onTwitter @CraptaculusInstagram @cinemacraptaculusIntro Music: "The Builder" - Kevin MacLeod (incompetech.com) | Licensed under Creative Commons: By Attribution 3.0 | http://creativecommons.org/licenses/by/3.0/

Christine Riccio & Natasha Polis talk all things nerdy in the book, tv, movie, pop culture, fandoms, and how they integrate into their adult lives.Today they're chatting their FAVORITE BOOKS OF 2024!! Plus they talk Wicked, Taylor Swift, the Wizard of OZ, the Netflix Christmas movies, Outlander, and more. Main discussion starts at 57:00 Today in Fangirl Tea Time: Join Christine and Natasha for more stories about their recent life escapades.  Check out our new those forking fangirls merch!  http://thoseforkingfangirls.com/store Support the pod by joining the Forking Fangirls Patreon community: http://patreon.com/thoseforkingfangirls  Follow the visual show on our Youtube: http://youtube.com/@thoseforkingfangirls   Get Christine's new novel Attached at the Hip: https://a.co/d/grmPeVy  Check out the Selkie Collection and get 10% off your order with code TASHAPOLIS  Website: https://thoseforkingfangirls.com/  Email us feedback: thoseforkingfangirls@gmail.com  Instagram: https://www.instagram.com/thoseforkingfangirls/ Twitter: https://twitter.com/forkfangirlspod  TikTok: https://www.tiktok.com/@thoseforkingfangirls

The two NFL games on Christmas that will stream on Netflix have wild broadcast crews, we try to make sense of this here.

Sabrina Carpenter has been accused of ‘marketing' herself using problematic Lolita references, so we discuss in light of her new Netflix Christmas special A Nonsense Christmas. Plus, Keira Knightley is back on our screens with the highly entertaining spy thriller Black Doves, but will the media be kinder to her this time? Also, ‘brain rot' is the word of the year, to which we hard relate, and Amy Adams's new motherhood horror film, Nightbitch, has left us reeling. DM us your thoughts on Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@straightuppod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, or email us at ⁠hello@straightuppodcast.co.uk⁠ and as ever please, please, please leave us a review on Apple Podcasts and a rating on Spotify, lysm! Huge thanks to our sponsor⁠ ⁠⁠⁠⁠⁠⁠⁠⁠Yonder⁠⁠⁠⁠⁠⁠, the incredible lifestyle credit card packed with rewards you'll actually *want* to use. Find out more at ⁠⁠⁠yonder.com/straightup⁠ Yonder membership is subject to eligibility and you'll need to be over 18 and a UK resident to apply. If you sign up, only borrow what you can afford to pay back. The representative rate is 66.7% APR variable. Membership fees and other T&Cs may apply.  Get an extra month free on top of BFI Player's 14-day free trial using our code STRAIGHTUP at ⁠⁠⁠⁠⁠player.bfi.org.uk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Get 20% off our fave adaptogenic coffee using our code straightup at https://londonnootropics.com/ Recs: Is doom scrolling really rotting our brains? The evidence is getting harder to ignore, Siân Boyle, Guardian  Black Doves, Netflix Black Doves review – Keira Knightley and Ben Whishaw's gleefully pulpy Christmas gift, Guardian In ‘Black Doves,' Keira Knightley is a mother and an assassin, LA Times  Keira Knightley: 'Turning 40? It looks rather great', the Times   A Nonsense Christmas with Sabrina Carpenter, Netflix Your fave is selling a pedophilic fantasy, Jade Hurley on Substack  She was a child influencer. Her fans were grown men, New York Times Nightbitch, in cinemas now Amy Adams and Marielle Heller on toddlers, incontinence and Nightbitch, the Guardian

This week Holden is strugglin' to feel the spirit of the season and Jackie and MJ give their review of Sabrina Carpenter's new Netflix Christmas special, Holden comes up with a plan for TSwift and Olivia Rodrigo Unity, Jackie tells tale of the awful "My Santa", while MJ contemplates watching thespian of our time Mario Lopez in the classic holiday cinematograph "Feliz Navi-DAD." Holden brings up his new obsession of Diamond Jubilee, and Jackie let's everyone know that "Watch Girls Gone Wild: The Untold Story" is just as upsetting as you'd think. MJ starts It Ends With Us on Netflix, Jackie is gettin' all ready to head to the theatre with Geoff to see "Babygirl" and tries to sell MJ and Holden on "Later Daters" despite their fear it will be just as sad as "Golden Bachelorette" and Holden is lovin' the Monday watchalongs of "Bad Girls Club".  This season Ultimatum resulted in half the cast leaving, and Jackie lets everyone know she does not want to try the Real Housewives of SLC ice cream, MJ says that That Christmas is just Love Actually for kids, and Holden started The Substance! A Nonsense Christmas with Sabrina Carpenter- NetflixMy Santa - Amazon PrimeThe Church Play Cinematic Universe - link for it --->  https://www.youtube.com/watch?v=ZK4gM7RC1M0&ab_channel=JennyNicholsonDiamond Jubilee by Cindy LeeGirls Gone Wild: The Untold Story - PeacockIt Ends With Us Queer - IN THE THEATAHHHHHHLater Daters - NetflixThat Christmas - Netflix Want even more Page 7? Support us on Patreon! Patreon.com/Page7Podcast  Subscribe to SiriusXM Podcasts+ on Apple Podcasts to listen to ad-free new episodes.

Blake's off jet-setting this week, so we're holding the big headlines—like the United Healthcare scandal, Jamie Foxx's Netflix special, and Raven's wild country concert adventure—for next week's tea spill. In the meantime, Raven's got a surprising Martha Stewart obsession thanks to her new Netflix doc, and we're speculating if Blake's vacation splurge is worth it. Plus, Raven's getting into the holiday spirit, binging Netflix Christmas documentaries like a festive fiend. It's cozy, chaotic, and packed with laughs—don't miss it!

Hello everyone! Well, it's the most wonderful time of the year, and because so many of you have messaged me, I am excited to announce that Stephanie is joining me for a Christmas movie review we watched on Netflix. Don't worry! Hallmark Christmas movies are coming in our next episode, but we just had to report on our findings and give feedback in case you, too, were pulled in by the Yuletide marketing.  I think we can safely say that Chad Michael Murray is still dear to both of us. He can't dance worth a flip. But he's dear. And not too shabby in the physique department!  EPISODE NOTES: The Merry Gentlemen trailer Our Little Secret trailer Hot Frosty trailer SHOW NOTES: Subscribe to Podcast: iTunes or Android Follow Me: Instagram and Twitter

HAPPY THURSDAY! The girls are back discussing Natalie's courthouse marriage, Sara's time in Toronto, WICKED, and allll the Netflix Christmas movies. Talk next week when both girls discuss the JonBenÈt Ramsey Netflix Docuseries.

The annually anticipated Netflix Christmas movies have dropped and we watched them all so you don't have to! Find out which ones need to be added to your watch list asap and which ones maybe not...See omnystudio.com/listener for privacy information.

Amy kicks off the ep. with car drama. The AAA patriarchy can't keep her down. Fun fact: Amy's dog can climb trees. She also brings big donut energy to the pod. There is a donut debate about Funner Brothers vs. Duffner's Bakery. Maya confesses she loves trash donuts from the grocery store. Dunkin' loses the Donuts. The ladies review Hot Frosty, the Hallmark-style Netflix Christmas romance starring Lacy Chabert. It's a real Siskel and Ebert moment. Spoiler Alert: Hot Frosty isn't that hot. Amy watched the Martha Stewart doc and is loving Martha's badassery. Iconic! Amy reviews the movie Wicked. Amy is on a Christmas decorating tear. Also, she's rearranged the shit out of her house. 

Andrew and Ted kick off the Holiday season with Netflix's Christmas original ... "Hot Frosty" starring Lacey Chabert (Mean Girls) as Kathy and Dustin Milligan (Schitt's Creek) as Jack. In the little town of Hopeville there's an annual snow sculpting contest at Christmas and widower / diner owner Kathy is given a scarf by the husband / wife owners of the local boutique as a Christmas present. Little did Kathy, or anybody for that matter, know there was a little magic in that scarf and when she placed around the neck of the Adonis-esque snow sculpture it comes to life. Being the kind hearted person Kathy is she attempts to help this individual who seems to have amnesia and in the process they begin to fall in love. The question then becomes what becomes of these two as time goes on and the heat is turned up by the local sheriff who is trying to figure out who broke into the local boutique and stole some clothes. Tune into "Streaming Without A Paddle" as Andrew and Ted share with you, spoiler free of course, their thoughts about this Netflix Christmas original.

This week we talk about our trip to San Francisco, including flash flood warnings, Andrea's 10-year cancer check-up, and why it still feels like home. Plus, Jason shares his passion for Airpods and how they keep him sane. Andrea shares her best and worst Netflix Christmas romcoms. **********************************Don't miss our FIRST EVER Cyber Monday sale (which we're running til Wednesday, go figure). We're offering 20% off all of our continuing education courses including:Mind-Body ResetThe Art of Teaching BeginnersThe Art of Yoga SequencingEssential Guide to AnatomyPreventing & Managing Yoga InjuriesEnter code CYBERMONDAY20 at checkout!

In this episode we chat about taking our Christmas card photos and reflect back on Nick's impossibly BIG 2024 goals. We laugh about being in the thick of teenage tropes.  Nick also helps Libby work through some emotional baggage from her ex-husband: is she an elf or a hobbit in Lord of the Rings?  We chat about sexy Hallmark, Lifetime, Netflix Christmas movies including "Best Christmas Ever" and "Meet Me Next Christmas" starring Pentatonix!  We round out our conversation with highlights from the Martha Stewart documentary and our favorites!

Send us a textAngelo, Rhea, and Jay are back to discuss the news that Conan O'Brien will be hosting the Oscars and what makes for a good Oscar host.  Spoiler Alert: Angelo does not think Conan is it.Then, because YOU demanded it Rhea Hughes has a review of the new Netflix Christmas sensation Hot Frosty, while Jay tackles your request for a review of the musical that is dominating at the box office, Wicked.  All that, PLUS: a deep dive into the David and Toph Eggers controversy, a review of the new Michael Shure show, A Man on the Inside, plus much MUCH more!It's another can't miss episode!MAKE SURE TO VISIT OUR SPONSOR: Steven Singer Jewelers!The TV Show is a weekly podcast hosted by Jay Black, with regular guests Angelo Cataldi and Rhea Hughes. Each week, we dive into the new Golden Age of Television, with a discussion of the latest shows and news.  

The movie kicks off in the big city for the annual Jingle Belle's live show. They're knockoff Rockettes. The people love it. I do not. In the middle of it all is Ashley Davis. She's a legend who has apparently been doing the Jingle Belle show for 12 years! Her boss asks to see her one night after a show — she is NOT being aged out, but she IS being replaced. She doesn't even get to finish out the season. She leaves and screams, "AGGHHHHHHHH!" She goes home to watch some Netflix Christmas movies and drown her sorrows in popcorn. Her mom calls and says that, since they know she's too busy to come to them, they're coming to her. They even bought tickets to see The Jingle Belle. She says, "No, no, that won't be necessary. I'll come to you."So, she heads to her hometown of Sycamore Creek and is dropped off at The Rhythm Room. She immediately gets tangled up in some garland that a hunk is putting up on the lampposts.The Rhythm Room is the venue her parents own. They hug, and then the parents immediately go to meet with the women who own the building. Turns out, the landlord keeps raising the rent on them, making it hard for the venue to bring in big artists, which makes it hard to make money, which makes it hard to fix the faucets. But who needs money when you have a Luke? Luke is the garland guy from before, who also comes by and helps with repairs when they need him. He agrees to give Ashley a ride to her parents' place, and they spend the ride talking and getting to know each other a little bit.The next day, she heads down to the venue, and it doesn't take long for Luke to show up shirtless. She finds out that her parents are in quite the bind, and there's a juice bar interested in taking over the lease and back-paying the 6 months' rent they're behind. When all is said and done, her parents are in a $30,000 hole. But something the landlord says inspires Ashley to put together an all-male dance crew that will bring in the people. And who better to lead the revue than shirtless Luke? She'll call them the Merry Gentlemen... THAT'S THE NAME OF THE MOVIE!Luke is hesitant at first, but if it helps save The Rhythm Room, he'll give it a shot. She recruits the hunky bartender and her sister's husband, who also happens to be a stripper for bachelorette parties. She works on coming up with a routine, and the guys are all taking it seriously. Luke doesn't feel like he's getting it, so she slow dances with him, and the sparks begin to FLY!It's finally time for the big revue debut, and Luke is freaking out and breathing into a bag. Luckily, Ashley has some tricks that she's picked up to help with nerves.The tickets are $30 a pop, and the crowd... well, it's a start. But the boys crush it, and the crowd LOVES it.The night is a success, and the landlord tells Ashley to keep up the great work. Luke congratulates Ashley on her big success, gives her a necklace, and asks to walk her home. They get some pizza and really start to open up to one another. She didn't expect to enjoy directing a show as much as she did.She finds another dancer, and they start putting together some new dances. Everything is going great! They're even selling out!But one of the guys slips and falls, spraining his ankle just before showtime. This throws the boys off, and they have to press pause to try to figure something out. Luckily, there's a guy named Danny who is always at the bar doing a crossword puzzle, and he joins in on the fun. It works. Another successful night! After the 12/21 show, they're only about $10,000 short.Ashley goes to talk to Luke some more in his barn. Talking leads to dancing, and dancing leads to kissing.They are so close to the $30,000 goal when Ashley gets a call from her old boss — they have a 911 situation, and she needs her back ASAP. They're willing to give her a 25% raise and a 3-year contract. The problem? She needs to be back by the big Christmas Day show. She goes to talk to her parents, and they tell her that she has to take the offer. It's her dream. She texts her boss and takes the offer.Luke doesn't take the news as well. "The city girls are all the same," he says. "The only reason I was doing this show is because of how inspiring you are."She heads off to the airport, and he goes on stage to start dancing, but he can't do it. Suddenly, she walks in, and he can dance again. She tells him that she could do it, she couldn't leave. They celebrate with a big kiss — complete WITH A LIFT!They all celebrate Christmas together with Christmas dinner at The Rhythm Room, and they share one more big ol' kiss! 

It's safe to say we have been counting down the days until this moment…it's time for a brutally honest review of Gladiator II.It's time for us to share our unfiltered thoughts on Ridley Scott's epic action adventure, and from Paul Mescal's changing accent (and teeth) to the one question that infuriated the film's creatives, nothing in this episode is off limits.This is a safe place to talk about the best and worst moments from Gladiator II…and to acknowledge Russell Crowe's hurt feelings that he wasn't included in it.Plus, it's Weekend Watch time! Today we have a sexy new Netflix Christmas movie to recommend to you, along with a risqué new series you'll want to binge in a day.THE END BITSListen to A Brutally Honest Review Of Nobody Wants This on The Spill, here.Listen to A Brutally Honest Review Of The Perfect Couple on The Spill, here. Listen to A Brutally Honest Review Of Netflix's Dallas Cowboys Cheerleaders Doco on The Spill, here.Find The Spill podcast on Instagram here.Subscribe to The Spill Newsletter by clicking here. Listen to more episodes of The Spill here. Subscribe to Mamamia GET IN TOUCH:Do you have feedback or a topic you want us to discuss on The Spill? Send us a voice message, or send us an email thespill@mamamia.com.au and we'll come back to you ASAP! WANT MORE?If you're looking for something else to listen to why not check out our hilarious and seriously unhelpful podcast The Baby Bubble hosted by Clare and Jessie Stephens.Or click here to listen to the hosts of Mamamia Out Loud open up about creativity and how they stay inspired. Read all the latest entertainment news on Mamamia... here.   CREDITS Hosts: Laura Brodnik, Em Vernem & Ash LondonExecutive Producer: Kimberley Braddish  Audio Producer: Scott Stronach Mamamia acknowledges the Traditional Owners of the Land we have recorded this podcast on, the Gadigal people of the Eora Nation. We pay our respects to their Elders past and present, and extend that respect to all Aboriginal and Torres Strait Islander cultures. Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Candice Lim is joined by Vox senior correspondent Rebecca Jennings to discuss what their timelines have looked like since the U.S. presidential election was called. From TikToks accusing men of entering their feminine era, to a surge of Americans posting about the 4B movement, they discuss how the dynamic between men and women has become increasingly regressive online, and what battles are yet to come. But first, Rebecca pitches the Netflix Christmas movie that's even better than Hot Frosty. This podcast is produced by Se'era Spragley Ricks, Daisy Rosario and Candice Lim, with production assistance from Alexandra Botti and Kat Hong. Learn more about your ad choices. Visit megaphone.fm/adchoices

Candice Lim is joined by Vox senior correspondent Rebecca Jennings to discuss what their timelines have looked like since the U.S. presidential election was called. From TikToks accusing men of entering their feminine era, to a surge of Americans posting about the 4B movement, they discuss how the dynamic between men and women has become increasingly regressive online, and what battles are yet to come. But first, Rebecca pitches the Netflix Christmas movie that's even better than Hot Frosty. This podcast is produced by Se'era Spragley Ricks, Daisy Rosario and Candice Lim, with production assistance from Alexandra Botti and Kat Hong. Learn more about your ad choices. Visit megaphone.fm/adchoices

Candice Lim is joined by Vox senior correspondent Rebecca Jennings to discuss what their timelines have looked like since the U.S. presidential election was called. From TikToks accusing men of entering their feminine era, to a surge of Americans posting about the 4B movement, they discuss how the dynamic between men and women has become increasingly regressive online, and what battles are yet to come. But first, Rebecca pitches the Netflix Christmas movie that's even better than Hot Frosty. This podcast is produced by Se'era Spragley Ricks, Daisy Rosario and Candice Lim, with production assistance from Alexandra Botti and Kat Hong. Learn more about your ad choices. Visit megaphone.fm/adchoices

Candice Lim is joined by Vox senior correspondent Rebecca Jennings to discuss what their timelines have looked like since the U.S. presidential election was called. From TikToks accusing men of entering their feminine era, to a surge of Americans posting about the 4B movement, they discuss how the dynamic between men and women has become increasingly regressive online, and what battles are yet to come. But first, Rebecca pitches the Netflix Christmas movie that's even better than Hot Frosty. This podcast is produced by Se'era Spragley Ricks, Daisy Rosario and Candice Lim, with production assistance from Alexandra Botti and Kat Hong. Learn more about your ad choices. Visit megaphone.fm/adchoices

Candice Lim is joined by Vox senior correspondent Rebecca Jennings to discuss what their timelines have looked like since the U.S. presidential election was called. From TikToks accusing men of entering their feminine era, to a surge of Americans posting about the 4B movement, they discuss how the dynamic between men and women has become increasingly regressive online, and what battles are yet to come. But first, Rebecca pitches the Netflix Christmas movie that's even better than Hot Frosty. This podcast is produced by Se'era Spragley Ricks, Daisy Rosario and Candice Lim, with production assistance from Alexandra Botti and Kat Hong. Learn more about your ad choices. Visit megaphone.fm/adchoices

Candice Lim is joined by Vox senior correspondent Rebecca Jennings to discuss what their timelines have looked like since the U.S. presidential election was called. From TikToks accusing men of entering their feminine era, to a surge of Americans posting about the 4B movement, they discuss how the dynamic between men and women has become increasingly regressive online, and what battles are yet to come. But first, Rebecca pitches the Netflix Christmas movie that's even better than Hot Frosty. This podcast is produced by Se'era Spragley Ricks, Daisy Rosario and Candice Lim, with production assistance from Alexandra Botti and Kat Hong. Learn more about your ad choices. Visit megaphone.fm/adchoices

We never disagree this much, but two new Christmas movies have inspired very different opinions from us on the latest episode of Breakfast All Day. First, we review "Red One," starring Dwayne Johnson and Chris Evans as the only two people on the planet who can save Santa Claus (J.K. Simmons) when he's kidnapped. This is a $250 million blockbuster featuring major, A-list stars, but it's not exactly shaping up to be a huge hit. Do you plan on seeing it? Let us know. It's in theaters now. Then, we review the knowingly absurd Netflix Christmas comedy "Hot Frosty." Dustin Milligan stars as a snowman who comes to life in the form of a hunky handyman when a widow (holiday movie veteran Lacey Chabert) wraps a red scarf around his neck. One of us liked this much more than the other, and it may surprise you. Craig Robinson and Joe Lo Truglio co-star. Streaming now. Finally, in our weekly Movie News LIVE!, we discuss the new "Mission: Impossible" trailer, Conan O'Brien hosting the 2025 Oscars, why we left Twitter, where we were on Y2K and much more. Join us every Friday at Noon Pacific on our YouTube channel. It's always fun! Subscribe to Christy's Saturday Matinee newsletter: https://christylemire.beehiiv.com/ Thinking of starting your own newsletter, or sprucing up the only you already have? Christy loves using beehiiv. Take 20% off your first three months at any level: https://www.beehiiv.com?via=christy-lemire The Holiday Blend from Coffee Bros. is the perfect beverage to enjoy when you're cozy on the couch watching Christmas movies. Take 15% off with our code BREAKFAST15. Shipping is free on orders of $50 or more. Makes a great holiday gift! https://coffeebros.sjv.io/EKRRd9  Some links are affiliate links which means if you purchase something, we may receive a small commission.

11/6 - Meet Me Next Christmas11/13 - Hot Frosty11/20 - The Merry Gentlemen11/27 - Our Little Secret12/4 - That Christmas Watch on Philo! - Philo.tv/DTH

We're all excited for Fall but let's talk about the upcoming Netflix Christmas special!! Plus, we'll tell you about the latest band to announce a Las Vegas residency… Learn more about your ad choices. Visit megaphone.fm/adchoices