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Applications for the 2025 AI Engineer Summit are up, and you can save the date for AIE Singapore in April and AIE World's Fair 2025 in June.Happy new year, and thanks for 100 great episodes! Please let us know what you want to see/hear for the next 100!Full YouTube Episode with Slides/ChartsLike and subscribe and hit that bell to get notifs!Timestamps* 00:00 Welcome to the 100th Episode!* 00:19 Reflecting on the Journey* 00:47 AI Engineering: The Rise and Impact* 03:15 Latent Space Live and AI Conferences* 09:44 The Competitive AI Landscape* 21:45 Synthetic Data and Future Trends* 35:53 Creative Writing with AI* 36:12 Legal and Ethical Issues in AI* 38:18 The Data War: GPU Poor vs. GPU Rich* 39:12 The Rise of GPU Ultra Rich* 40:47 Emerging Trends in AI Models* 45:31 The Multi-Modality War* 01:05:31 The Future of AI Benchmarks* 01:13:17 Pionote and Frontier Models* 01:13:47 Niche Models and Base Models* 01:14:30 State Space Models and RWKB* 01:15:48 Inference Race and Price Wars* 01:22:16 Major AI Themes of the Year* 01:22:48 AI Rewind: January to March* 01:26:42 AI Rewind: April to June* 01:33:12 AI Rewind: July to September* 01:34:59 AI Rewind: October to December* 01:39:53 Year-End Reflections and PredictionsTranscript[00:00:00] Welcome to the 100th Episode![00:00:00] Alessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co host Swyx for the 100th time today.[00:00:12] swyx: Yay, um, and we're so glad that, yeah, you know, everyone has, uh, followed us in this journey. How do you feel about it? 100 episodes.[00:00:19] Alessio: Yeah, I know.[00:00:19] Reflecting on the Journey[00:00:19] Alessio: Almost two years that we've been doing this. We've had four different studios. Uh, we've had a lot of changes. You know, we used to do this lightning round. When we first started that we didn't like, and we tried to change the question. The answer[00:00:32] swyx: was cursor and perplexity.[00:00:34] Alessio: Yeah, I love mid journey. It's like, do you really not like anything else?[00:00:38] Alessio: Like what's, what's the unique thing? And I think, yeah, we, we've also had a lot more research driven content. You know, we had like 3DAO, we had, you know. Jeremy Howard, we had more folks like that.[00:00:47] AI Engineering: The Rise and Impact[00:00:47] Alessio: I think we want to do more of that too in the new year, like having, uh, some of the Gemini folks, both on the research and the applied side.[00:00:54] Alessio: Yeah, but it's been a ton of fun. I think we both started, I wouldn't say as a joke, we were kind of like, Oh, we [00:01:00] should do a podcast. And I think we kind of caught the right wave, obviously. And I think your rise of the AI engineer posts just kind of get people. Sombra to congregate, and then the AI engineer summit.[00:01:11] Alessio: And that's why when I look at our growth chart, it's kind of like a proxy for like the AI engineering industry as a whole, which is almost like, like, even if we don't do that much, we keep growing just because there's so many more AI engineers. So did you expect that growth or did you expect that would take longer for like the AI engineer thing to kind of like become, you know, everybody talks about it today.[00:01:32] swyx: So, the sign of that, that we have won is that Gartner puts it at the top of the hype curve right now. So Gartner has called the peak in AI engineering. I did not expect, um, to what level. I knew that I was correct when I called it because I did like two months of work going into that. But I didn't know, You know, how quickly it could happen, and obviously there's a chance that I could be wrong.[00:01:52] swyx: But I think, like, most people have come around to that concept. Hacker News hates it, which is a good sign. But there's enough people that have defined it, you know, GitHub, when [00:02:00] they launched GitHub Models, which is the Hugging Face clone, they put AI engineers in the banner, like, above the fold, like, in big So I think it's like kind of arrived as a meaningful and useful definition.[00:02:12] swyx: I think people are trying to figure out where the boundaries are. I think that was a lot of the quote unquote drama that happens behind the scenes at the World's Fair in June. Because I think there's a lot of doubt or questions about where ML engineering stops and AI engineering starts. That's a useful debate to be had.[00:02:29] swyx: In some sense, I actually anticipated that as well. So I intentionally did not. Put a firm definition there because most of the successful definitions are necessarily underspecified and it's actually useful to have different perspectives and you don't have to specify everything from the outset.[00:02:45] Alessio: Yeah, I was at um, AWS reInvent and the line to get into like the AI engineering talk, so to speak, which is, you know, applied AI and whatnot was like, there are like hundreds of people just in line to go in.[00:02:56] Alessio: I think that's kind of what enabled me. People, right? Which is what [00:03:00] you kind of talked about. It's like, Hey, look, you don't actually need a PhD, just, yeah, just use the model. And then maybe we'll talk about some of the blind spots that you get as an engineer with the earlier posts that we also had on on the sub stack.[00:03:11] Alessio: But yeah, it's been a heck of a heck of a two years.[00:03:14] swyx: Yeah.[00:03:15] Latent Space Live and AI Conferences[00:03:15] swyx: You know, I was, I was trying to view the conference as like, so NeurIPS is I think like 16, 17, 000 people. And the Latent Space Live event that we held there was 950 signups. I think. The AI world, the ML world is still very much research heavy. And that's as it should be because ML is very much in a research phase.[00:03:34] swyx: But as we move this entire field into production, I think that ratio inverts into becoming more engineering heavy. So at least I think engineering should be on the same level, even if it's never as prestigious, like it'll always be low status because at the end of the day, you're manipulating APIs or whatever.[00:03:51] swyx: But Yeah, wrapping GPTs, but there's going to be an increasing stack and an art to doing these, these things well. And I, you know, I [00:04:00] think that's what we're focusing on for the podcast, the conference and basically everything I do seems to make sense. And I think we'll, we'll talk about the trends here that apply.[00:04:09] swyx: It's, it's just very strange. So, like, there's a mix of, like, keeping on top of research while not being a researcher and then putting that research into production. So, like, people always ask me, like, why are you covering Neuralibs? Like, this is a ML research conference and I'm like, well, yeah, I mean, we're not going to, to like, understand everything Or reproduce every single paper, but the stuff that is being found here is going to make it through into production at some point, you hope.[00:04:32] swyx: And then actually like when I talk to the researchers, they actually get very excited because they're like, oh, you guys are actually caring about how this goes into production and that's what they really really want. The measure of success is previously just peer review, right? Getting 7s and 8s on their um, Academic review conferences and stuff like citations is one metric, but money is a better metric.[00:04:51] Alessio: Money is a better metric. Yeah, and there were about 2200 people on the live stream or something like that. Yeah, yeah. Hundred on the live stream. So [00:05:00] I try my best to moderate, but it was a lot spicier in person with Jonathan and, and Dylan. Yeah, that it was in the chat on YouTube.[00:05:06] swyx: I would say that I actually also created.[00:05:09] swyx: Layen Space Live in order to address flaws that are perceived in academic conferences. This is not NeurIPS specific, it's ICML, NeurIPS. Basically, it's very sort of oriented towards the PhD student, uh, market, job market, right? Like literally all, basically everyone's there to advertise their research and skills and get jobs.[00:05:28] swyx: And then obviously all the, the companies go there to hire them. And I think that's great for the individual researchers, but for people going there to get info is not great because you have to read between the lines, bring a ton of context in order to understand every single paper. So what is missing is effectively what I ended up doing, which is domain by domain, go through and recap the best of the year.[00:05:48] swyx: Survey the field. And there are, like NeurIPS had a, uh, I think ICML had a like a position paper track, NeurIPS added a benchmarks, uh, datasets track. These are ways in which to address that [00:06:00] issue. Uh, there's always workshops as well. Every, every conference has, you know, a last day of workshops and stuff that provide more of an overview.[00:06:06] swyx: But they're not specifically prompted to do so. And I think really, uh, Organizing a conference is just about getting good speakers and giving them the correct prompts. And then they will just go and do that thing and they do a very good job of it. So I think Sarah did a fantastic job with the startups prompt.[00:06:21] swyx: I can't list everybody, but we did best of 2024 in startups, vision, open models. Post transformers, synthetic data, small models, and agents. And then the last one was the, uh, and then we also did a quick one on reasoning with Nathan Lambert. And then the last one, obviously, was the debate that people were very hyped about.[00:06:39] swyx: It was very awkward. And I'm really, really thankful for John Franco, basically, who stepped up to challenge Dylan. Because Dylan was like, yeah, I'll do it. But He was pro scaling. And I think everyone who is like in AI is pro scaling, right? So you need somebody who's ready to publicly say, no, we've hit a wall.[00:06:57] swyx: So that means you're saying Sam Altman's wrong. [00:07:00] You're saying, um, you know, everyone else is wrong. It helps that this was the day before Ilya went on, went up on stage and then said pre training has hit a wall. And data has hit a wall. So actually Jonathan ended up winning, and then Ilya supported that statement, and then Noam Brown on the last day further supported that statement as well.[00:07:17] swyx: So it's kind of interesting that I think the consensus kind of going in was that we're not done scaling, like you should believe in a better lesson. And then, four straight days in a row, you had Sepp Hochreiter, who is the creator of the LSTM, along with everyone's favorite OG in AI, which is Juergen Schmidhuber.[00:07:34] swyx: He said that, um, we're pre trading inside a wall, or like, we've run into a different kind of wall. And then we have, you know John Frankel, Ilya, and then Noam Brown are all saying variations of the same thing, that we have hit some kind of wall in the status quo of what pre trained, scaling large pre trained models has looked like, and we need a new thing.[00:07:54] swyx: And obviously the new thing for people is some make, either people are calling it inference time compute or test time [00:08:00] compute. I think the collective terminology has been inference time, and I think that makes sense because test time, calling it test, meaning, has a very pre trained bias, meaning that the only reason for running inference at all is to test your model.[00:08:11] swyx: That is not true. Right. Yeah. So, so, I quite agree that. OpenAI seems to have adopted, or the community seems to have adopted this terminology of ITC instead of TTC. And that, that makes a lot of sense because like now we care about inference, even right down to compute optimality. Like I actually interviewed this author who recovered or reviewed the Chinchilla paper.[00:08:31] swyx: Chinchilla paper is compute optimal training, but what is not stated in there is it's pre trained compute optimal training. And once you start caring about inference, compute optimal training, you have a different scaling law. And in a way that we did not know last year.[00:08:45] Alessio: I wonder, because John is, he's also on the side of attention is all you need.[00:08:49] Alessio: Like he had the bet with Sasha. So I'm curious, like he doesn't believe in scaling, but he thinks the transformer, I wonder if he's still. So, so,[00:08:56] swyx: so he, obviously everything is nuanced and you know, I told him to play a character [00:09:00] for this debate, right? So he actually does. Yeah. He still, he still believes that we can scale more.[00:09:04] swyx: Uh, he just assumed the character to be very game for, for playing this debate. So even more kudos to him that he assumed a position that he didn't believe in and still won the debate.[00:09:16] Alessio: Get rekt, Dylan. Um, do you just want to quickly run through some of these things? Like, uh, Sarah's presentation, just the highlights.[00:09:24] swyx: Yeah, we can't go through everyone's slides, but I pulled out some things as a factor of, like, stuff that we were going to talk about. And we'll[00:09:30] Alessio: publish[00:09:31] swyx: the rest. Yeah, we'll publish on this feed the best of 2024 in those domains. And hopefully people can benefit from the work that our speakers have done.[00:09:39] swyx: But I think it's, uh, these are just good slides. And I've been, I've been looking for a sort of end of year recaps from, from people.[00:09:44] The Competitive AI Landscape[00:09:44] swyx: The field has progressed a lot. You know, I think the max ELO in 2023 on LMSys used to be 1200 for LMSys ELOs. And now everyone is at least at, uh, 1275 in their ELOs, and this is across Gemini, Chadjibuti, [00:10:00] Grok, O1.[00:10:01] swyx: ai, which with their E Large model, and Enthopic, of course. It's a very, very competitive race. There are multiple Frontier labs all racing, but there is a clear tier zero Frontier. And then there's like a tier one. It's like, I wish I had everything else. Tier zero is extremely competitive. It's effectively now three horse race between Gemini, uh, Anthropic and OpenAI.[00:10:21] swyx: I would say that people are still holding out a candle for XAI. XAI, I think, for some reason, because their API was very slow to roll out, is not included in these metrics. So it's actually quite hard to put on there. As someone who also does charts, XAI is continually snubbed because they don't work well with the benchmarking people.[00:10:42] swyx: Yeah, yeah, yeah. It's a little trivia for why XAI always gets ignored. The other thing is market share. So these are slides from Sarah. We have it up on the screen. It has gone from very heavily open AI. So we have some numbers and estimates. These are from RAMP. Estimates of open AI market share in [00:11:00] December 2023.[00:11:01] swyx: And this is basically, what is it, GPT being 95 percent of production traffic. And I think if you correlate that with stuff that we asked. Harrison Chase on the LangChain episode, it was true. And then CLAUD 3 launched mid middle of this year. I think CLAUD 3 launched in March, CLAUD 3. 5 Sonnet was in June ish.[00:11:23] swyx: And you can start seeing the market share shift towards opening, uh, towards that topic, uh, very, very aggressively. The more recent one is Gemini. So if I scroll down a little bit, this is an even more recent dataset. So RAM's dataset ends in September 2 2. 2024. Gemini has basically launched a price war at the low end, uh, with Gemini Flash, uh, being basically free for personal use.[00:11:44] swyx: Like, I think people don't understand the free tier. It's something like a billion tokens per day. Unless you're trying to abuse it, you cannot really exhaust your free tier on Gemini. They're really trying to get you to use it. They know they're in like third place, um, fourth place, depending how you, how you count.[00:11:58] swyx: And so they're going after [00:12:00] the Lower tier first, and then, you know, maybe the upper tier later, but yeah, Gemini Flash, according to OpenRouter, is now 50 percent of their OpenRouter requests. Obviously, these are the small requests. These are small, cheap requests that are mathematically going to be more.[00:12:15] swyx: The smart ones obviously are still going to OpenAI. But, you know, it's a very, very big shift in the market. Like basically 2023, 2022, To going into 2024 opening has gone from nine five market share to Yeah. Reasonably somewhere between 50 to 75 market share.[00:12:29] Alessio: Yeah. I'm really curious how ramped does the attribution to the model?[00:12:32] Alessio: If it's API, because I think it's all credit card spin. . Well, but it's all, the credit card doesn't say maybe. Maybe the, maybe when they do expenses, they upload the PDF, but yeah, the, the German I think makes sense. I think that was one of my main 2024 takeaways that like. The best small model companies are the large labs, which is not something I would have thought that the open source kind of like long tail would be like the small model.[00:12:53] swyx: Yeah, different sizes of small models we're talking about here, right? Like so small model here for Gemini is AB, [00:13:00] right? Uh, mini. We don't know what the small model size is, but yeah, it's probably in the double digits or maybe single digits, but probably double digits. The open source community has kind of focused on the one to three B size.[00:13:11] swyx: Mm-hmm . Yeah. Maybe[00:13:12] swyx: zero, maybe 0.5 B uh, that's moon dream and that is small for you then, then that's great. It makes sense that we, we have a range for small now, which is like, may, maybe one to five B. Yeah. I'll even put that at, at, at the high end. And so this includes Gemma from Gemini as well. But also includes the Apple Foundation models, which I think Apple Foundation is 3B.[00:13:32] Alessio: Yeah. No, that's great. I mean, I think in the start small just meant cheap. I think today small is actually a more nuanced discussion, you know, that people weren't really having before.[00:13:43] swyx: Yeah, we can keep going. This is a slide that I smiley disagree with Sarah. She's pointing to the scale SEAL leaderboard. I think the Researchers that I talked with at NeurIPS were kind of positive on this because basically you need private test [00:14:00] sets to prevent contamination.[00:14:02] swyx: And Scale is one of maybe three or four people this year that has really made an effort in doing a credible private test set leaderboard. Llama405B does well compared to Gemini and GPT 40. And I think that's good. I would say that. You know, it's good to have an open model that is that big, that does well on those metrics.[00:14:23] swyx: But anyone putting 405B in production will tell you, if you scroll down a little bit to the artificial analysis numbers, that it is very slow and very expensive to infer. Um, it doesn't even fit on like one node. of, uh, of H100s. Cerebras will be happy to tell you they can serve 4 or 5B on their super large chips.[00:14:42] swyx: But, um, you know, if you need to do anything custom to it, you're still kind of constrained. So, is 4 or 5B really that relevant? Like, I think most people are basically saying that they only use 4 or 5B as a teacher model to distill down to something. Even Meta is doing it. So with Lama 3. [00:15:00] 3 launched, they only launched the 70B because they use 4 or 5B to distill the 70B.[00:15:03] swyx: So I don't know if like open source is keeping up. I think they're the, the open source industrial complex is very invested in telling you that the, if the gap is narrowing, I kind of disagree. I think that the gap is widening with O1. I think there are very, very smart people trying to narrow that gap and they should.[00:15:22] swyx: I really wish them success, but you cannot use a chart that is nearing 100 in your saturation chart. And look, the distance between open source and closed source is narrowing. Of course it's going to narrow because you're near 100. This is stupid. But in metrics that matter, is open source narrowing?[00:15:38] swyx: Probably not for O1 for a while. And it's really up to the open source guys to figure out if they can match O1 or not.[00:15:46] Alessio: I think inference time compute is bad for open source just because, you know, Doc can donate the flops at training time, but he cannot donate the flops at inference time. So it's really hard to like actually keep up on that axis.[00:15:59] Alessio: Big, big business [00:16:00] model shift. So I don't know what that means for the GPU clouds. I don't know what that means for the hyperscalers, but obviously the big labs have a lot of advantage. Because, like, it's not a static artifact that you're putting the compute in. You're kind of doing that still, but then you're putting a lot of computed inference too.[00:16:17] swyx: Yeah, yeah, yeah. Um, I mean, Llama4 will be reasoning oriented. We talked with Thomas Shalom. Um, kudos for getting that episode together. That was really nice. Good, well timed. Actually, I connected with the AI meta guy, uh, at NeurIPS, and, um, yeah, we're going to coordinate something for Llama4. Yeah, yeah,[00:16:32] Alessio: and our friend, yeah.[00:16:33] Alessio: Clara Shi just joined to lead the business agent side. So I'm sure we'll have her on in the new year.[00:16:39] swyx: Yeah. So, um, my comment on, on the business model shift, this is super interesting. Apparently it is wide knowledge that OpenAI wanted more than 6. 6 billion dollars for their fundraise. They wanted to raise, you know, higher, and they did not.[00:16:51] swyx: And what that means is basically like, it's very convenient that we're not getting GPT 5, which would have been a larger pre train. We should have a lot of upfront money. And [00:17:00] instead we're, we're converting fixed costs into variable costs, right. And passing it on effectively to the customer. And it's so much easier to take margin there because you can directly attribute it to like, Oh, you're using this more.[00:17:12] swyx: Therefore you, you pay more of the cost and I'll just slap a margin in there. So like that lets you control your growth margin and like tie your. Your spend, or your sort of inference spend, accordingly. And it's just really interesting to, that this change in the sort of inference paradigm has arrived exactly at the same time that the funding environment for pre training is effectively drying up, kind of.[00:17:36] swyx: I feel like maybe the VCs are very in tune with research anyway, so like, they would have noticed this, but, um, it's just interesting.[00:17:43] Alessio: Yeah, and I was looking back at our yearly recap of last year. Yeah. And the big thing was like the mixed trial price fights, you know, and I think now it's almost like there's nowhere to go, like, you know, Gemini Flash is like basically giving it away for free.[00:17:55] Alessio: So I think this is a good way for the labs to generate more revenue and pass down [00:18:00] some of the compute to the customer. I think they're going to[00:18:02] swyx: keep going. I think that 2, will come.[00:18:05] Alessio: Yeah, I know. Totally. I mean, next year, the first thing I'm doing is signing up for Devin. Signing up for the pro chat GBT.[00:18:12] Alessio: Just to try. I just want to see what does it look like to spend a thousand dollars a month on AI?[00:18:17] swyx: Yes. Yes. I think if your, if your, your job is a, at least AI content creator or VC or, you know, someone who, whose job it is to stay on, stay on top of things, you should already be spending like a thousand dollars a month on, on stuff.[00:18:28] swyx: And then obviously easy to spend, hard to use. You have to actually use. The good thing is that actually Google lets you do a lot of stuff for free now. So like deep research. That they just launched. Uses a ton of inference and it's, it's free while it's in preview.[00:18:45] Alessio: Yeah. They need to put that in Lindy.[00:18:47] Alessio: I've been using Lindy lately. I've been a built a bunch of things once we had flow because I liked the new thing. It's pretty good. I even did a phone call assistant. Um, yeah, they just launched Lindy voice. Yeah, I think once [00:19:00] they get advanced voice mode like capability today, still like speech to text, you can kind of tell.[00:19:06] Alessio: Um, but it's good for like reservations and things like that. So I have a meeting prepper thing. And so[00:19:13] swyx: it's good. Okay. I feel like we've, we've covered a lot of stuff. Uh, I, yeah, I, you know, I think We will go over the individual, uh, talks in a separate episode. Uh, I don't want to take too much time with, uh, this stuff, but that suffice to say that there is a lot of progress in each field.[00:19:28] swyx: Uh, we covered vision. Basically this is all like the audience voting for what they wanted. And then I just invited the best people I could find in each audience, especially agents. Um, Graham, who I talked to at ICML in Vienna, he is currently still number one. It's very hard to stay on top of SweetBench.[00:19:45] swyx: OpenHand is currently still number one. switchbench full, which is the hardest one. He had very good thoughts on agents, which I, which I'll highlight for people. Everyone is saying 2025 is the year of agents, just like they said last year. And, uh, but he had [00:20:00] thoughts on like eight parts of what are the frontier problems to solve in agents.[00:20:03] swyx: And so I'll highlight that talk as well.[00:20:05] Alessio: Yeah. The number six, which is the Hacken agents learn more about the environment, has been a Super interesting to us as well, just to think through, because, yeah, how do you put an agent in an enterprise where most things in an enterprise have never been public, you know, a lot of the tooling, like the code bases and things like that.[00:20:23] Alessio: So, yeah, there's not indexing and reg. Well, yeah, but it's more like. You can't really rag things that are not documented. But people know them based on how they've been doing it. You know, so I think there's almost this like, you know, Oh, institutional knowledge. Yeah, the boring word is kind of like a business process extraction.[00:20:38] Alessio: Yeah yeah, I see. It's like, how do you actually understand how these things are done? I see. Um, and I think today the, the problem is that, Yeah, the agents are, that most people are building are good at following instruction, but are not as good as like extracting them from you. Um, so I think that will be a big unlock just to touch quickly on the Jeff Dean thing.[00:20:55] Alessio: I thought it was pretty, I mean, we'll link it in the, in the things, but. I think the main [00:21:00] focus was like, how do you use ML to optimize the systems instead of just focusing on ML to do something else? Yeah, I think speculative decoding, we had, you know, Eugene from RWKB on the podcast before, like he's doing a lot of that with Fetterless AI.[00:21:12] swyx: Everyone is. I would say it's the norm. I'm a little bit uncomfortable with how much it costs, because it does use more of the GPU per call. But because everyone is so keen on fast inference, then yeah, makes sense.[00:21:24] Alessio: Exactly. Um, yeah, but we'll link that. Obviously Jeff is great.[00:21:30] swyx: Jeff is, Jeff's talk was more, it wasn't focused on Gemini.[00:21:33] swyx: I think people got the wrong impression from my tweet. It's more about how Google approaches ML and uses ML to design systems and then systems feedback into ML. And I think this ties in with Lubna's talk.[00:21:45] Synthetic Data and Future Trends[00:21:45] swyx: on synthetic data where it's basically the story of bootstrapping of humans and AI in AI research or AI in production.[00:21:53] swyx: So her talk was on synthetic data, where like how much synthetic data has grown in 2024 in the pre training side, the post training side, [00:22:00] and the eval side. And I think Jeff then also extended it basically to chips, uh, to chip design. So he'd spend a lot of time talking about alpha chip. And most of us in the audience are like, we're not working on hardware, man.[00:22:11] swyx: Like you guys are great. TPU is great. Okay. We'll buy TPUs.[00:22:14] Alessio: And then there was the earlier talk. Yeah. But, and then we have, uh, I don't know if we're calling them essays. What are we calling these? But[00:22:23] swyx: for me, it's just like bonus for late in space supporters, because I feel like they haven't been getting anything.[00:22:29] swyx: And then I wanted a more high frequency way to write stuff. Like that one I wrote in an afternoon. I think basically we now have an answer to what Ilya saw. It's one year since. The blip. And we know what he saw in 2014. We know what he saw in 2024. We think we know what he sees in 2024. He gave some hints and then we have vague indications of what he saw in 2023.[00:22:54] swyx: So that was the Oh, and then 2016 as well, because of this lawsuit with Elon, OpenAI [00:23:00] is publishing emails from Sam's, like, his personal text messages to Siobhan, Zelis, or whatever. So, like, we have emails from Ilya saying, this is what we're seeing in OpenAI, and this is why we need to scale up GPUs. And I think it's very prescient in 2016 to write that.[00:23:16] swyx: And so, like, it is exactly, like, basically his insights. It's him and Greg, basically just kind of driving the scaling up of OpenAI, while they're still playing Dota. They're like, no, like, we see the path here.[00:23:30] Alessio: Yeah, and it's funny, yeah, they even mention, you know, we can only train on 1v1 Dota. We need to train on 5v5, and that takes too many GPUs.[00:23:37] Alessio: Yeah,[00:23:37] swyx: and at least for me, I can speak for myself, like, I didn't see the path from Dota to where we are today. I think even, maybe if you ask them, like, they wouldn't necessarily draw a straight line. Yeah,[00:23:47] Alessio: no, definitely. But I think like that was like the whole idea of almost like the RL and we talked about this with Nathan on his podcast.[00:23:55] Alessio: It's like with RL, you can get very good at specific things, but then you can't really like generalize as much. And I [00:24:00] think the language models are like the opposite, which is like, you're going to throw all this data at them and scale them up, but then you really need to drive them home on a specific task later on.[00:24:08] Alessio: And we'll talk about the open AI reinforcement, fine tuning, um, announcement too, and all of that. But yeah, I think like scale is all you need. That's kind of what Elia will be remembered for. And I think just maybe to clarify on like the pre training is over thing that people love to tweet. I think the point of the talk was like everybody, we're scaling these chips, we're scaling the compute, but like the second ingredient which is data is not scaling at the same rate.[00:24:35] Alessio: So it's not necessarily pre training is over. It's kind of like What got us here won't get us there. In his email, he predicted like 10x growth every two years or something like that. And I think maybe now it's like, you know, you can 10x the chips again, but[00:24:49] swyx: I think it's 10x per year. Was it? I don't know.[00:24:52] Alessio: Exactly. And Moore's law is like 2x. So it's like, you know, much faster than that. And yeah, I like the fossil fuel of AI [00:25:00] analogy. It's kind of like, you know, the little background tokens thing. So the OpenAI reinforcement fine tuning is basically like, instead of fine tuning on data, you fine tune on a reward model.[00:25:09] Alessio: So it's basically like, instead of being data driven, it's like task driven. And I think people have tasks to do, they don't really have a lot of data. So I'm curious to see how that changes, how many people fine tune, because I think this is what people run into. It's like, Oh, you can fine tune llama. And it's like, okay, where do I get the data?[00:25:27] Alessio: To fine tune it on, you know, so it's great that we're moving the thing. And then I really like he had this chart where like, you know, the brain mass and the body mass thing is basically like mammals that scaled linearly by brain and body size, and then humans kind of like broke off the slope. So it's almost like maybe the mammal slope is like the pre training slope.[00:25:46] Alessio: And then the post training slope is like the, the human one.[00:25:49] swyx: Yeah. I wonder what the. I mean, we'll know in 10 years, but I wonder what the y axis is for, for Ilya's SSI. We'll try to get them on.[00:25:57] Alessio: Ilya, if you're listening, you're [00:26:00] welcome here. Yeah, and then he had, you know, what comes next, like agent, synthetic data, inference, compute, I thought all of that was like that.[00:26:05] Alessio: I don't[00:26:05] swyx: think he was dropping any alpha there. Yeah, yeah, yeah.[00:26:07] Alessio: Yeah. Any other new reps? Highlights?[00:26:10] swyx: I think that there was comparatively a lot more work. Oh, by the way, I need to plug that, uh, my friend Yi made this, like, little nice paper. Yeah, that was really[00:26:20] swyx: nice.[00:26:20] swyx: Uh, of, uh, of, like, all the, he's, she called it must read papers of 2024.[00:26:26] swyx: So I laid out some of these at NeurIPS, and it was just gone. Like, everyone just picked it up. Because people are dying for, like, little guidance and visualizations And so, uh, I thought it was really super nice that we got there.[00:26:38] Alessio: Should we do a late in space book for each year? Uh, I thought about it. For each year we should.[00:26:42] Alessio: Coffee table book. Yeah. Yeah. Okay. Put it in the will. Hi, Will. By the way, we haven't introduced you. He's our new, you know, general organist, Jamie. You need to[00:26:52] swyx: pull up more things. One thing I saw that, uh, Okay, one fun one, and then one [00:27:00] more general one. So the fun one is this paper on agent collusion. This is a paper on steganography.[00:27:06] swyx: This is secret collusion among AI agents, multi agent deception via steganography. I tried to go to NeurIPS in order to find these kinds of papers because the real reason Like NeurIPS this year has a lottery system. A lot of people actually even go and don't buy tickets because they just go and attend the side events.[00:27:22] swyx: And then also the people who go and end up crowding around the most popular papers, which you already know and already read them before you showed up to NeurIPS. So the only reason you go there is to talk to the paper authors, but there's like something like 10, 000 other. All these papers out there that, you know, are just people's work that they, that they did on the air and they failed to get attention for one reason or another.[00:27:42] swyx: And this was one of them. Uh, it was like all the way at the back. And this is a deep mind paper that actually focuses on collusion between AI agents, uh, by hiding messages in the text that they generate. Uh, so that's what steganography is. So a very simple example would be the first letter of every word.[00:27:57] swyx: If you Pick that out, you know, and the code sends a [00:28:00] different message than that. But something I've always emphasized is to LLMs, we read left to right. LLMs can read up, down, sideways, you know, in random character order. And it's the same to them as it is to us. So if we were ever to get You know, self motivated, underlined LLMs that we're trying to collaborate to take over the planet.[00:28:19] swyx: This would be how they do it. They spread messages among us in the messages that we generate. And he developed a scaling law for that. So he marked, I'm showing it on screen right now, the emergence of this phenomenon. Basically, for example, for Cypher encoding, GPT 2, Lama 2, mixed trial, GPT 3. 5, zero capabilities, and sudden 4.[00:28:40] swyx: And this is the kind of Jason Wei type emergence properties that people kind of look for. I think what made this paper stand out as well, so he developed the benchmark for steganography collusion, and he also focused on shelling point collusion, which is very low coordination. For agreeing on a decoding encoding format, you kind of need to have some [00:29:00] agreement on that.[00:29:00] swyx: But, but shelling point means like very, very low or almost no coordination. So for example, if I, if I ask someone, if the only message I give you is meet me in New York and you're not aware. Or when you would probably meet me at Grand Central Station. That is the Grand Central Station is a shelling point.[00:29:16] swyx: And it's probably somewhere, somewhere during the day. That is the shelling point of New York is Grand Central. To that extent, shelling points for steganography are things like the, the, the common decoding methods that we talked about. It will be interesting at some point in the future when we are worried about alignment.[00:29:30] swyx: It is not interesting today, but it's interesting that DeepMind is already thinking about this.[00:29:36] Alessio: I think that's like one of the hardest things about NeurIPS. It's like the long tail. I[00:29:41] swyx: found a pricing guy. I'm going to feature him on the podcast. Basically, this guy from NVIDIA worked out the optimal pricing for language models.[00:29:51] swyx: It's basically an econometrics paper at NeurIPS, where everyone else is talking about GPUs. And the guy with the GPUs is[00:29:57] Alessio: talking[00:29:57] swyx: about economics instead. [00:30:00] That was the sort of fun one. So the focus I saw is that model papers at NeurIPS are kind of dead. No one really presents models anymore. It's just data sets.[00:30:12] swyx: This is all the grad students are working on. So like there was a data sets track and then I was looking around like, I was like, you don't need a data sets track because every paper is a data sets paper. And so data sets and benchmarks, they're kind of flip sides of the same thing. So Yeah. Cool. Yeah, if you're a grad student, you're a GPU boy, you kind of work on that.[00:30:30] swyx: And then the, the sort of big model that people walk around and pick the ones that they like, and then they use it in their models. And that's, that's kind of how it develops. I, I feel like, um, like, like you didn't last year, you had people like Hao Tian who worked on Lava, which is take Lama and add Vision.[00:30:47] swyx: And then obviously actually I hired him and he added Vision to Grok. Now he's the Vision Grok guy. This year, I don't think there was any of those.[00:30:55] Alessio: What were the most popular, like, orals? Last year it was like the [00:31:00] Mixed Monarch, I think, was like the most attended. Yeah, uh, I need to look it up. Yeah, I mean, if nothing comes to mind, that's also kind of like an answer in a way.[00:31:10] Alessio: But I think last year there was a lot of interest in, like, furthering models and, like, different architectures and all of that.[00:31:16] swyx: I will say that I felt the orals, oral picks this year were not very good. Either that or maybe it's just a So that's the highlight of how I have changed in terms of how I view papers.[00:31:29] swyx: So like, in my estimation, two of the best papers in this year for datasets or data comp and refined web or fine web. These are two actually industrially used papers, not highlighted for a while. I think DCLM got the spotlight, FineWeb didn't even get the spotlight. So like, it's just that the picks were different.[00:31:48] swyx: But one thing that does get a lot of play that a lot of people are debating is the role that's scheduled. This is the schedule free optimizer paper from Meta from Aaron DeFazio. And this [00:32:00] year in the ML community, there's been a lot of chat about shampoo, soap, all the bathroom amenities for optimizing your learning rates.[00:32:08] swyx: And, uh, most people at the big labs are. Who I asked about this, um, say that it's cute, but it's not something that matters. I don't know, but it's something that was discussed and very, very popular. 4Wars[00:32:19] Alessio: of AI recap maybe, just quickly. Um, where do you want to start? Data?[00:32:26] swyx: So to remind people, this is the 4Wars piece that we did as one of our earlier recaps of this year.[00:32:31] swyx: And the belligerents are on the left, journalists, writers, artists, anyone who owns IP basically, New York Times, Stack Overflow, Reddit, Getty, Sarah Silverman, George RR Martin. Yeah, and I think this year we can add Scarlett Johansson to that side of the fence. So anyone suing, open the eye, basically. I actually wanted to get a snapshot of all the lawsuits.[00:32:52] swyx: I'm sure some lawyer can do it. That's the data quality war. On the right hand side, we have the synthetic data people, and I think we talked about Lumna's talk, you know, [00:33:00] really showing how much synthetic data has come along this year. I think there was a bit of a fight between scale. ai and the synthetic data community, because scale.[00:33:09] swyx: ai published a paper saying that synthetic data doesn't work. Surprise, surprise, scale. ai is the leading vendor of non synthetic data. Only[00:33:17] Alessio: cage free annotated data is useful.[00:33:21] swyx: So I think there's some debate going on there, but I don't think it's much debate anymore that at least synthetic data, for the reasons that are blessed in Luna's talk, Makes sense.[00:33:32] swyx: I don't know if you have any perspectives there.[00:33:34] Alessio: I think, again, going back to the reinforcement fine tuning, I think that will change a little bit how people think about it. I think today people mostly use synthetic data, yeah, for distillation and kind of like fine tuning a smaller model from like a larger model.[00:33:46] Alessio: I'm not super aware of how the frontier labs use it outside of like the rephrase, the web thing that Apple also did. But yeah, I think it'll be. Useful. I think like whether or not that gets us the big [00:34:00] next step, I think that's maybe like TBD, you know, I think people love talking about data because it's like a GPU poor, you know, I think, uh, synthetic data is like something that people can do, you know, so they feel more opinionated about it compared to, yeah, the optimizers stuff, which is like,[00:34:17] swyx: they don't[00:34:17] Alessio: really work[00:34:18] swyx: on.[00:34:18] swyx: I think that there is an angle to the reasoning synthetic data. So this year, we covered in the paper club, the star series of papers. So that's star, Q star, V star. It basically helps you to synthesize reasoning steps, or at least distill reasoning steps from a verifier. And if you look at the OpenAI RFT, API that they released, or that they announced, basically they're asking you to submit graders, or they choose from a preset list of graders.[00:34:49] swyx: Basically It feels like a way to create valid synthetic data for them to fine tune their reasoning paths on. Um, so I think that is another angle where it starts to make sense. And [00:35:00] so like, it's very funny that basically all the data quality wars between Let's say the music industry or like the newspaper publishing industry or the textbooks industry on the big labs.[00:35:11] swyx: It's all of the pre training era. And then like the new era, like the reasoning era, like nobody has any problem with all the reasoning, especially because it's all like sort of math and science oriented with, with very reasonable graders. I think the more interesting next step is how does it generalize beyond STEM?[00:35:27] swyx: We've been using O1 for And I would say like for summarization and creative writing and instruction following, I think it's underrated. I started using O1 in our intro songs before we killed the intro songs, but it's very good at writing lyrics. You know, I can actually say like, I think one of the O1 pro demos.[00:35:46] swyx: All of these things that Noam was showing was that, you know, you can write an entire paragraph or three paragraphs without using the letter A, right?[00:35:53] Creative Writing with AI[00:35:53] swyx: So like, like literally just anything instead of token, like not even token level, character level manipulation and [00:36:00] counting and instruction following. It's, uh, it's very, very strong.[00:36:02] swyx: And so no surprises when I ask it to rhyme, uh, and to, to create song lyrics, it's going to do that very much better than in previous models. So I think it's underrated for creative writing.[00:36:11] Alessio: Yeah.[00:36:12] Legal and Ethical Issues in AI[00:36:12] Alessio: What do you think is the rationale that they're going to have in court when they don't show you the thinking traces of O1, but then they want us to, like, they're getting sued for using other publishers data, you know, but then on their end, they're like, well, you shouldn't be using my data to then train your model.[00:36:29] Alessio: So I'm curious to see how that kind of comes. Yeah, I mean, OPA has[00:36:32] swyx: many ways to publish, to punish people without bringing, taking them to court. Already banned ByteDance for distilling their, their info. And so anyone caught distilling the chain of thought will be just disallowed to continue on, on, on the API.[00:36:44] swyx: And it's fine. It's no big deal. Like, I don't even think that's an issue at all, just because the chain of thoughts are pretty well hidden. Like you have to work very, very hard to, to get it to leak. And then even when it leaks the chain of thought, you don't know if it's, if it's [00:37:00] The bigger concern is actually that there's not that much IP hiding behind it, that Cosign, which we talked about, we talked to him on Dev Day, can just fine tune 4.[00:37:13] swyx: 0 to beat 0. 1 Cloud SONET so far is beating O1 on coding tasks without, at least O1 preview, without being a reasoning model, same for Gemini Pro or Gemini 2. 0. So like, how much is reasoning important? How much of a moat is there in this, like, All of these are proprietary sort of training data that they've presumably accomplished.[00:37:34] swyx: Because even DeepSeek was able to do it. And they had, you know, two months notice to do this, to do R1. So, it's actually unclear how much moat there is. Obviously, you know, if you talk to the Strawberry team, they'll be like, yeah, I mean, we spent the last two years doing this. So, we don't know. And it's going to be Interesting because there'll be a lot of noise from people who say they have inference time compute and actually don't because they just have fancy chain of thought.[00:38:00][00:38:00] swyx: And then there's other people who actually do have very good chain of thought. And you will not see them on the same level as OpenAI because OpenAI has invested a lot in building up the mythology of their team. Um, which makes sense. Like the real answer is somewhere in between.[00:38:13] Alessio: Yeah, I think that's kind of like the main data war story developing.[00:38:18] The Data War: GPU Poor vs. GPU Rich[00:38:18] Alessio: GPU poor versus GPU rich. Yeah. Where do you think we are? I think there was, again, going back to like the small model thing, there was like a time in which the GPU poor were kind of like the rebel faction working on like these models that were like open and small and cheap. And I think today people don't really care as much about GPUs anymore.[00:38:37] Alessio: You also see it in the price of the GPUs. Like, you know, that market is kind of like plummeted because there's people don't want to be, they want to be GPU free. They don't even want to be poor. They just want to be, you know, completely without them. Yeah. How do you think about this war? You[00:38:52] swyx: can tell me about this, but like, I feel like the, the appetite for GPU rich startups, like the, you know, the, the funding plan is we will raise 60 million and [00:39:00] we'll give 50 of that to NVIDIA.[00:39:01] swyx: That is gone, right? Like, no one's, no one's pitching that. This was literally the plan, the exact plan of like, I can name like four or five startups, you know, this time last year. So yeah, GPU rich startups gone.[00:39:12] The Rise of GPU Ultra Rich[00:39:12] swyx: But I think like, The GPU ultra rich, the GPU ultra high net worth is still going. So, um, now we're, you know, we had Leopold's essay on the trillion dollar cluster.[00:39:23] swyx: We're not quite there yet. We have multiple labs, um, you know, XAI very famously, you know, Jensen Huang praising them for being. Best boy number one in spinning up 100, 000 GPU cluster in like 12 days or something. So likewise at Meta, likewise at OpenAI, likewise at the other labs as well. So like the GPU ultra rich are going to keep doing that because I think partially it's an article of faith now that you just need it.[00:39:46] swyx: Like you don't even know what it's going to, what you're going to use it for. You just, you just need it. And it makes sense that if, especially if we're going into. More researchy territory than we are. So let's say 2020 to 2023 was [00:40:00] let's scale big models territory because we had GPT 3 in 2020 and we were like, okay, we'll go from 1.[00:40:05] swyx: 75b to 1. 8b, 1. 8t. And that was GPT 3 to GPT 4. Okay, that's done. As far as everyone is concerned, Opus 3. 5 is not coming out, GPT 4. 5 is not coming out, and Gemini 2, we don't have Pro, whatever. We've hit that wall. Maybe I'll call it the 2 trillion perimeter wall. We're not going to 10 trillion. No one thinks it's a good idea, at least from training costs, from the amount of data, or at least the inference.[00:40:36] swyx: Would you pay 10x the price of GPT Probably not. Like, like you want something else that, that is at least more useful. So it makes sense that people are pivoting in terms of their inference paradigm.[00:40:47] Emerging Trends in AI Models[00:40:47] swyx: And so when it's more researchy, then you actually need more just general purpose compute to mess around with, uh, at the exact same time that production deployments of the old, the previous paradigm is still ramping up,[00:40:58] swyx: um,[00:40:58] swyx: uh, pretty aggressively.[00:40:59] swyx: So [00:41:00] it makes sense that the GPU rich are growing. We have now interviewed both together and fireworks and replicates. Uh, we haven't done any scale yet. But I think Amazon, maybe kind of a sleeper one, Amazon, in a sense of like they, at reInvent, I wasn't expecting them to do so well, but they are now a foundation model lab.[00:41:18] swyx: It's kind of interesting. Um, I think, uh, you know, David went over there and started just creating models.[00:41:25] Alessio: Yeah, I mean, that's the power of prepaid contracts. I think like a lot of AWS customers, you know, they do this big reserve instance contracts and now they got to use their money. That's why so many startups.[00:41:37] Alessio: Get bought through the AWS marketplace so they can kind of bundle them together and prefer pricing.[00:41:42] swyx: Okay, so maybe GPU super rich doing very well, GPU middle class dead, and then GPU[00:41:48] Alessio: poor. I mean, my thing is like, everybody should just be GPU rich. There shouldn't really be, even the GPU poorest, it's like, does it really make sense to be GPU poor?[00:41:57] Alessio: Like, if you're GPU poor, you should just use the [00:42:00] cloud. Yes, you know, and I think there might be a future once we kind of like figure out what the size and shape of these models is where like the tiny box and these things come to fruition where like you can be GPU poor at home. But I think today is like, why are you working so hard to like get these models to run on like very small clusters where it's like, It's so cheap to run them.[00:42:21] Alessio: Yeah, yeah,[00:42:22] swyx: yeah. I think mostly people think it's cool. People think it's a stepping stone to scaling up. So they aspire to be GPU rich one day and they're working on new methods. Like news research, like probably the most deep tech thing they've done this year is Distro or whatever the new name is.[00:42:38] swyx: There's a lot of interest in heterogeneous computing, distributed computing. I tend generally to de emphasize that historically, but it may be coming to a time where it is starting to be relevant. I don't know. You know, SF compute launched their compute marketplace this year, and like, who's really using that?[00:42:53] swyx: Like, it's a bunch of small clusters, disparate types of compute, and if you can make that [00:43:00] useful, then that will be very beneficial to the broader community, but maybe still not the source of frontier models. It's just going to be a second tier of compute that is unlocked for people, and that's fine. But yeah, I mean, I think this year, I would say a lot more on device, We are, I now have Apple intelligence on my phone.[00:43:19] swyx: Doesn't do anything apart from summarize my notifications. But still, not bad. Like, it's multi modal.[00:43:25] Alessio: Yeah, the notification summaries are so and so in my experience.[00:43:29] swyx: Yeah, but they add, they add juice to life. And then, um, Chrome Nano, uh, Gemini Nano is coming out in Chrome. Uh, they're still feature flagged, but you can, you can try it now if you, if you use the, uh, the alpha.[00:43:40] swyx: And so, like, I, I think, like, you know, We're getting the sort of GPU poor version of a lot of these things coming out, and I think it's like quite useful. Like Windows as well, rolling out RWKB in sort of every Windows department is super cool. And I think the last thing that I never put in this GPU poor war, that I think I should now, [00:44:00] is the number of startups that are GPU poor but still scaling very well, as sort of wrappers on top of either a foundation model lab, or GPU Cloud.[00:44:10] swyx: GPU Cloud, it would be Suno. Suno, Ramp has rated as one of the top ranked, fastest growing startups of the year. Um, I think the last public number is like zero to 20 million this year in ARR and Suno runs on Moto. So Suno itself is not GPU rich, but they're just doing the training on, on Moto, uh, who we've also talked to on, on the podcast.[00:44:31] swyx: The other one would be Bolt, straight cloud wrapper. And, and, um, Again, another, now they've announced 20 million ARR, which is another step up from our 8 million that we put on the title. So yeah, I mean, it's crazy that all these GPU pores are finding a way while the GPU riches are also finding a way. And then the only failures, I kind of call this the GPU smiling curve, where the edges do well, because you're either close to the machines, and you're like [00:45:00] number one on the machines, or you're like close to the customers, and you're number one on the customer side.[00:45:03] swyx: And the people who are in the middle. Inflection, um, character, didn't do that great. I think character did the best of all of them. Like, you have a note in here that we apparently said that character's price tag was[00:45:15] Alessio: 1B.[00:45:15] swyx: Did I say that?[00:45:16] Alessio: Yeah. You said Google should just buy them for 1B. I thought it was a crazy number.[00:45:20] Alessio: Then they paid 2. 7 billion. I mean, for like,[00:45:22] swyx: yeah.[00:45:22] Alessio: What do you pay for node? Like, I don't know what the game world was like. Maybe the starting price was 1B. I mean, whatever it was, it worked out for everybody involved.[00:45:31] The Multi-Modality War[00:45:31] Alessio: Multimodality war. And this one, we never had text to video in the first version, which now is the hottest.[00:45:37] swyx: Yeah, I would say it's a subset of image, but yes.[00:45:40] Alessio: Yeah, well, but I think at the time it wasn't really something people were doing, and now we had VO2 just came out yesterday. Uh, Sora was released last month, last week. I've not tried Sora, because the day that I tried, it wasn't, yeah. I[00:45:54] swyx: think it's generally available now, you can go to Sora.[00:45:56] swyx: com and try it. Yeah, they had[00:45:58] Alessio: the outage. Which I [00:46:00] think also played a part into it. Small things. Yeah. What's the other model that you posted today that was on Replicate? Video or OneLive?[00:46:08] swyx: Yeah. Very, very nondescript name, but it is from Minimax, which I think is a Chinese lab. The Chinese labs do surprisingly well at the video models.[00:46:20] swyx: I'm not sure it's actually Chinese. I don't know. Hold me up to that. Yep. China. It's good. Yeah, the Chinese love video. What can I say? They have a lot of training data for video. Or a more relaxed regulatory environment.[00:46:37] Alessio: Uh, well, sure, in some way. Yeah, I don't think there's much else there. I think like, you know, on the image side, I think it's still open.[00:46:45] Alessio: Yeah, I mean,[00:46:46] swyx: 11labs is now a unicorn. So basically, what is multi modality war? Multi modality war is, do you specialize in a single modality, right? Or do you have GodModel that does all the modalities? So this is [00:47:00] definitely still going, in a sense of 11 labs, you know, now Unicorn, PicoLabs doing well, they launched Pico 2.[00:47:06] swyx: 0 recently, HeyGen, I think has reached 100 million ARR, Assembly, I don't know, but they have billboards all over the place, so I assume they're doing very, very well. So these are all specialist models, specialist models and specialist startups. And then there's the big labs who are doing the sort of all in one play.[00:47:24] swyx: And then here I would highlight Gemini 2 for having native image output. Have you seen the demos? Um, yeah, it's, it's hard to keep up. Literally they launched this last week and a shout out to Paige Bailey, who came to the Latent Space event to demo on the day of launch. And she wasn't prepared. She was just like, I'm just going to show you.[00:47:43] swyx: So they have voice. They have, you know, obviously image input, and then they obviously can code gen and all that. But the new one that OpenAI and Meta both have but they haven't launched yet is image output. So you can literally, um, I think their demo video was that you put in an image of a [00:48:00] car, and you ask for minor modifications to that car.[00:48:02] swyx: They can generate you that modification exactly as you asked. So there's no need for the stable diffusion or comfy UI workflow of like mask here and then like infill there in paint there and all that, all that stuff. This is small model nonsense. Big model people are like, huh, we got you in as everything in the transformer.[00:48:21] swyx: This is the multimodality war, which is, do you, do you bet on the God model or do you string together a whole bunch of, uh, Small models like a, like a chump. Yeah,[00:48:29] Alessio: I don't know, man. Yeah, that would be interesting. I mean, obviously I use Midjourney for all of our thumbnails. Um, they've been doing a ton on the product, I would say.[00:48:38] Alessio: They launched a new Midjourney editor thing. They've been doing a ton. Because I think, yeah, the motto is kind of like, Maybe, you know, people say black forest, the black forest models are better than mid journey on a pixel by pixel basis. But I think when you put it, put it together, have you tried[00:48:53] swyx: the same problems on black forest?[00:48:55] Alessio: Yes. But the problem is just like, you know, on black forest, it generates one image. And then it's like, you got to [00:49:00] regenerate. You don't have all these like UI things. Like what I do, no, but it's like time issue, you know, it's like a mid[00:49:06] swyx: journey. Call the API four times.[00:49:08] Alessio: No, but then there's no like variate.[00:49:10] Alessio: Like the good thing about mid journey is like, you just go in there and you're cooking. There's a lot of stuff that just makes it really easy. And I think people underestimate that. Like, it's not really a skill issue, because I'm paying mid journey, so it's a Black Forest skill issue, because I'm not paying them, you know?[00:49:24] Alessio: Yeah,[00:49:25] swyx: so, okay, so, uh, this is a UX thing, right? Like, you, you, you understand that, at least, we think that Black Forest should be able to do all that stuff. I will also shout out, ReCraft has come out, uh, on top of the image arena that, uh, artificial analysis has done, has apparently, uh, Flux's place. Is this still true?[00:49:41] swyx: So, Artificial Analysis is now a company. I highlighted them I think in one of the early AI Newses of the year. And they have launched a whole bunch of arenas. So, they're trying to take on LM Arena, Anastasios and crew. And they have an image arena. Oh yeah, Recraft v3 is now beating Flux 1. 1. Which is very surprising [00:50:00] because Flux And Black Forest Labs are the old stable diffusion crew who left stability after, um, the management issues.[00:50:06] swyx: So Recurve has come from nowhere to be the top image model. Uh, very, very strange. I would also highlight that Grok has now launched Aurora, which is, it's very interesting dynamics between Grok and Black Forest Labs because Grok's images were originally launched, uh, in partnership with Black Forest Labs as a, as a thin wrapper.[00:50:24] swyx: And then Grok was like, no, we'll make our own. And so they've made their own. I don't know, there are no APIs or benchmarks about it. They just announced it. So yeah, that's the multi modality war. I would say that so far, the small model, the dedicated model people are winning, because they are just focused on their tasks.[00:50:42] swyx: But the big model, People are always catching up. And the moment I saw the Gemini 2 demo of image editing, where I can put in an image and just request it and it does, that's how AI should work. Not like a whole bunch of complicated steps. So it really is something. And I think one frontier that we haven't [00:51:00] seen this year, like obviously video has done very well, and it will continue to grow.[00:51:03] swyx: You know, we only have Sora Turbo today, but at some point we'll get full Sora. Oh, at least the Hollywood Labs will get Fulsora. We haven't seen video to audio, or video synced to audio. And so the researchers that I talked to are already starting to talk about that as the next frontier. But there's still maybe like five more years of video left to actually be Soda.[00:51:23] swyx: I would say that Gemini's approach Compared to OpenAI, Gemini seems, or DeepMind's approach to video seems a lot more fully fledged than OpenAI. Because if you look at the ICML recap that I published that so far nobody has listened to, um, that people have listened to it. It's just a different, definitely different audience.[00:51:43] swyx: It's only seven hours long. Why are people not listening? It's like everything in Uh, so, so DeepMind has, is working on Genie. They also launched Genie 2 and VideoPoet. So, like, they have maybe four years advantage on world modeling that OpenAI does not have. Because OpenAI basically only started [00:52:00] Diffusion Transformers last year, you know, when they hired, uh, Bill Peebles.[00:52:03] swyx: So, DeepMind has, has a bit of advantage here, I would say, in, in, in showing, like, the reason that VO2, while one, They cherry pick their videos. So obviously it looks better than Sora, but the reason I would believe that VO2, uh, when it's fully launched will do very well is because they have all this background work in video that they've done for years.[00:52:22] swyx: Like, like last year's NeurIPS, I already was interviewing some of their video people. I forget their model name, but for, for people who are dedicated fans, they can go to NeurIPS 2023 and see, see that paper.[00:52:32] Alessio: And then last but not least, the LLMOS. We renamed it to Ragops, formerly known as[00:52:39] swyx: Ragops War. I put the latest chart on the Braintrust episode.[00:52:43] swyx: I think I'm going to separate these essays from the episode notes. So the reason I used to do that, by the way, is because I wanted to show up on Hacker News. I wanted the podcast to show up on Hacker News. So I always put an essay inside of there because Hacker News people like to read and not listen.[00:52:58] Alessio: So episode essays,[00:52:59] swyx: I remember [00:53:00] purchasing them separately. You say Lanchain Llama Index is still growing.[00:53:03] Alessio: Yeah, so I looked at the PyPy stats, you know. I don't care about stars. On PyPy you see Do you want to share your screen? Yes. I prefer to look at actual downloads, not at stars on GitHub. So if you look at, you know, Lanchain still growing.[00:53:20] Alessio: These are the last six months. Llama Index still growing. What I've basically seen is like things that, One, obviously these things have A commercial product. So there's like people buying this and sticking with it versus kind of hopping in between things versus, you know, for example, crew AI, not really growing as much.[00:53:38] Alessio: The stars are growing. If you look on GitHub, like the stars are growing, but kind of like the usage is kind of like flat. In the last six months, have they done some[00:53:4

The BanterThe Guys are alarmed to find out how some folks are flavoring their beverage..and so is the Board of Health. The ConversationThe Restaurant Guys get deep with chef Curtis Duffy, who received Michelin stars for his restaurants Grace and Ever in Chicago. Curtis shares his story, how he leads his team and what keeps him striving for excellence.The Inside TrackThe Guys  highly recommend you watch the movie For Grace about the opening of Curtis's restaurant Grace. The three find plenty to talk about being lifers in a challenging industry. This is how Curtis handles every day.“My daily drive and my daily vision was to be better than what I was yesterday.  And I pushed the team and led the team that way. That was always my commitment to the restaurant. We have to be better. We have to be better,” Curtis Duffy on The Restaurant Guys Podcast 2024 BioCurtis Duffy began his career in Chicago working under chef Charlie Trotter then later chef Grant Achatz. Curtis became head chef at Avenues, which earned two Michelin stars after his arrival. He and Michael Muser opened Grace in Chicago in 2012. In 2013, the Robb Report named Grace the best restaurant in the world.  Grace earned three stars in the Michelin Guide four years in a row. The James Beard Foundation named Duffy Best Chef, Great Lakes in 2016. In 2020, Duffy and Muser opened Ever restaurant which was awarded two Michelin stars in 2021, 2022, and 2023. In 2022, he opened After lounge, and the following year Esquire named After one of the Best Bars in America.Curtis has appeared in numerous television shows such as Top Chef, Top Chef: Colorado, Iron Chef: Quest for an Iron Legend. A couple of episodes of The Bear were filmed inside his restaurant Ever and Curtis made and plated the dishes that appear in season 2 episode 7.  Chef Duffy's  journey is chronicled in the acclaimed documentary For Grace highlighting his rise from adversity to culinary greatness.InfoEver Restauranthttps://www.ever-restaurant.com/For Grace (movie)Watch on AmazonReach out to The Restaurant GuysIf you're in New Jersey...November 15 Walk Around Wine TastingNovember 22 Dale & Jill DeGroff Happy Hourstageleft.com/eventsOur Sponsors The Heldrich Hotel & Conference Centerhttps://www.theheldrich.com/ Magyar Bankhttps://www.magbank.com/ Withum Accountinghttps://www.withum.com/ Our Places Stage Left Steakhttps://www.stageleft.com/ Catherine Lombardi Restauranthttps://www.catherinelombardi.com/ Stage Left Wineshophttps://www.stageleftwineshop.com/ To hear more about food, wine and the finer things in life:https://www.instagram.com/restaurantguyspodcast/https://www.facebook.com/restaurantguys**Become a Restaurant Guys Regular and get two bonus episodes per month, bonus content and Regulars Only events.**Click Below! https://www.buzzsprout.com/2401692/subscribe

An agnostic evolutionary psych talks to a Christian economist and philosopher about God, Darwin, economics, and atheist chauvinism.    Follow James on X  @JamesKnightPM and read his work here  The Philosophical Muser  —————————————————— Email the show with your thoughts, suggestions, guest ideas, or interview requests: thevanetempest@gmail.com or, DM our Exec-Producer Greg on Twitter (@GregZesq) IMPORTANT LINKS: VTPod on YouTube VTPod on Apple & Spotify Paula's Substack Paula's Twitter/X Paula's Instagram Paula's Academic Writings  

Welcome back to the Rock ‘n Roll Ghost Podcast. On this week's episode, the Ghost speaks with Michael Muser, director of operations and co-owner of Chicago's two Michelin-starred restaurant Ever. Muser discusses his and Ever's executive chef/co-owner Curtis Duffy's relationship, which stretches back to their time at Avenues at The Peninsula, moving to Grace (both restaurants are no more, but were highly rated, Grace ended its run with three Michelin stars) and then opening Ever during the pandemic. He also talks about how important service is to him and Duffy, the restaurant's feature placement on the hit FX series The Bear, and the things that are most important to him. Links: Michael Muser Ever Ever reservations on Tock --- Support this podcast: https://podcasters.spotify.com/pod/show/brett-hickman/support

The first AI Engineer World's Fair talks from OpenAI and Cognition are up!In our Benchmarks 101 episode back in April 2023 we covered the history of AI benchmarks, their shortcomings, and our hopes for better ones. Fast forward 1.5 years, the pace of model development has far exceeded the speed at which benchmarks are updated. Frontier labs are still using MMLU and HumanEval for model marketing, even though most models are reaching their natural plateau at a ~90% success rate (any higher and they're probably just memorizing/overfitting).From Benchmarks to LeaderboardsOutside of being stale, lab-reported benchmarks also suffer from non-reproducibility. The models served through the API also change over time, so at different points in time it might return different scores.Today's guest, Clémentine Fourrier, is the lead maintainer of HuggingFace's OpenLLM Leaderboard. Their goal is standardizing how models are evaluated by curating a set of high quality benchmarks, and then publishing the results in a reproducible way with tools like EleutherAI's Harness.The leaderboard was first launched summer 2023 and quickly became the de facto standard for open source LLM performance. To give you a sense for the scale:* Over 2 million unique visitors* 300,000 active community members* Over 7,500 models evaluatedLast week they announced the second version of the leaderboard. Why? Because models were getting too good!The new version of the leaderboard is based on 6 benchmarks:*

This week, we delve into the world of Michael Muser, a charismatic veteran sommelier who has played a pivotal role in shaping Chicago's dining scene. With his characteristic showmanship and deep passion for hospitality, Michael guides us through a captivating array of topics, his raconteur's charm on full display. From his beginnings as a self-described "baseball brat" to his influential positions at prestigious venues like the Peninsula Hotel and Grace, Michael's journey is a fascinating one. Now a partner at award-winning establishments Ever, After, and The Canvas, his story offers rich insights into the world of fine dining. In this episode, we explore what draws people to the hospitality industry and examine the challenges and changes in a post-COVID landscape, particularly the exodus of mid-career professionals. Michael regales us with tales that range from Olivia Colman's near-miss as a scullery worker at Ever, to the intricate "Russian dolls" of wine knowledge, to rubbing shoulders with Chris Nolan's complicated brother, and so much more.

I årevis har Charli XCX skrevet hits for andre, men med sit nye album ‘BRAT' træder hun selv i karakter som superstjerne. På albummet bliver der både taget baner i toiletbåsen med tidens IT-girls, men også åbnet op for berømmelsens skyggesidder, kropskomplekser og savnet til de døde. For alle følelser er tilladt på ‘BRAT'. I dette afsnit af Poptillægget lytter vi til en af årets mest interessante udgivelser og kigger på de muser, som Charli XCX kaster sin kærlighed på, og som kaster drama og glans tilbage i ansigtet på os andre.  PANEL:  Anna Gunvor Hyttel, creative director og trend forecaster. Anbefaling: Læs skønlitteratur. Mads Axelsen, kommunikationsansvarlig på Blågaard Teater og radiovært. Anbefaling: Se tredje sæson af tv-serien 'Hacks'.  Felix Thorsen Katzenelson, kulturjournalist og kritiker på Politiken. Anbefaling: Læs 'Kirstens Hævn' af Bjørn Rasmussen.  Vært: Lucia Odoom. Anbefaling: Lyt til Tems' album 'Born in the Wild'.  REDAKTION:  Lucia Odoom og Jonas Bach-Madsen. See omnystudio.com/listener for privacy information.

Ob Maia beim Kinderkrimifest gerne verduftet wäre? Wahrscheinlich nicht. Schließlich durfte sie Martin Muser zu seinem Kinderkrimi "Kannawoniwasein - manchmal muss man einfach verduften" befragen. Beim Kinderkrimifest gibt es spannendes Programm. Lesungen zum Bespiel, oder Theaterstücke. Und das alles zum Thema Kinderkrimis. Welche Krimis Martin selbst als Kind gelesen hat, und was "Kannaowoniwasein" inspiriert hat, hört ihr hier.

March 8th, 2024 THE MUSERS call in to the 4th MUSER, Mike DOOCY! Why? To Celebrate his 30 years at FOX 4 and in DFW! Follow us on Facebook, Instagram and X Listen to past episodes on The Ticket's Website And follow The Ticket Top 10 on Apple, Spotify or Amazon MusicSee omnystudio.com/listener for privacy information.

Stefan Muser war schon immer von mechanischen Armbanduhren fasziniert. Inzwischen ist er Inhaber eines auf Uhren spezialisierten Auktionshauses in Mannheim. Manchmal zahlen Bieter auch siebenstellige Beträge.

February 13th, 2024 The World's most dangerous midday show check in with their Muser pal. Follow us on Facebook, Instagram and X Listen to past episodes on The Ticket's Website And follow The Ticket Top 10 on Apple, Spotify or Amazon MusicSee omnystudio.com/listener for privacy information.

Have you ever considered the immense potential locked within a mere quarter of an hour? Our latest episode unfolds the wisdom of a rabbi who promises to transform your 15-minute Torah study into an expansive spiritual journey. The rabbi introduces us to the practice of Muser, an introspective tradition that not only enriches our spiritual lives but also miraculously stretches our perception of time—opening up our schedules and minds to a world seen in its truest form.Listen as we navigate the intrinsic connection between daily prayer and Muser, where the rabbi shares insights from the Ramban's teachings on the communal essence of tefila. This conversation is not merely about the mechanics of prayer but about uncovering its core—as a collective affirmation of our existence and purpose. It's an invitation to a profound self-reflection within the folds of our Shmone Esrei, reminding us of our place in the cosmos and recommitting to the divine will with humility and joy. Join us on this inspiring exploration as we grasp the true nature of our daily devotions and the hidden opportunities within the moments we set aside for spiritual growth.Support the showJoin the WhatsApp community for daily motivational Torah content! JOIN HERE ---------------- SUBSCRIBE to The Weekly Parsha for an insightful weekly shiur on the Parsha of the week. Listen on Spotify or the new Jewish music and Podcast streaming platform 24six! Access all Torah talks and listen to featured episodes on our new website, themotivationcongregation.org ---------------- Questions or Comments? Please email me @ michaelbrooke97@gmail.com

Comedian, Musician & Classical Music Aficianado, Parker Clay listens to Absolution for the first time and learns about the making of the album! ⭐️MERCH STORE: https://www.teepublic.com/user/musecast?ref_id=1072 LISTEN TO MUSECAST ON:

November 17th, 2023 The Sweet Spot listen to all the candidates who didn't make the Muser's E-Brake this morning and see who won second best.  Follow us on Facebook, Instagram and X Listen to past episodes on The Ticket's Website And follow The Ticket Top 10 on Apple, Spotify or Amazon Music See omnystudio.com/listener for privacy information.

Welcome to Season 4 and the 97th episode of the podcast series.

Welcome to Season 4 and the 96th episode of the podcast series.

Short & Sweet- Arachin 8a- Rabbi Chona Muser

Wohlfühlbücher boomen. „WEIL.“ ist kein Wohlfühlbuch. Das Lehrstück über Gewalt passt in unsere Zeit, aktuell wird es von der Wirklichkeit sogar überholt: Wenn Kinder Mörder werden ist der Aufschrei groß. Wie Gewalt entsteht, was Gewalt anrichtet, hat der Drehbuch- und Kinderbuchautor Martin Muser schon zuvor schreibend ausgelotet. Wie das geht? Geht das überhaupt? Hat die Jugendliteratur eigene Grenzen, eigene Gesetze? Solche Fragen sind nach wie vor heiße Eisen. Die 61. Folge von „freigeistern!“ packt sie an. In einem Gespräch über das Böse, das Gute, Täter, Opfer und die Widersprüchlichkeit des Menschen, über Zwangsläufigkeit, Zumutungen, eigene Ängste und Abgründe, über die Freiheit der Kunst und die Freiheit der Gedanken als Voraussetzung des Schreibens. Denn „Gewaltgeistern“ macht Denkräume auf und Ambivalenzen aushaltbar. Genau so lässt sich von Gewalt schreiben, sprechen, lesen. Und hören!

Madison Whittle, a senior at Western Kentucky University, shares her work in User Experience and design this week as part of continuing miniseries on creatives in Appalachia as part of the Civic Imagination Incubator. Head to www.foxfire.org for more info!

Michael Muser, Director of Operations and Owner at Chicago's Ever Restaurant and After Cocktail Lounge, welcomes Dynasty Podcasts to After for an in-depth interview about the new high end Fulton Market destination.Muser reflects on the challenges Ever faced in the wake of the pandemic, shares the origins of the After concept, and speaks on his longtime professional partnership with Chef Curtis Duffy.He also shares his thoughts on the ever-changing and ever-expanding Fulton Market district and details the design choices that went into After's sleek and unique aesthetic.

+ Siyum on Mishnayos Seder Zeraim

Michael Muser is the Co-Owner of Ever, After, and The Canvas in Chicago, Illinois. Michael studied theater in college in Southern California. After graduating and waiting tables in SoCal, he decided to train as a sommelier. He worked as Wine Director under Chef Curtis Duffy at Avenues in The Peninsula Hotel, a 5-star hotel in downtown Chicago. There the team earned two Michelin stars. In 2011, Michael and Chef Curtis left Avenues to open their own restaurant, called Grace. They left Grace in 2017 after a failed attempt to buy the restaurant from majority stakeholders. In 2020, Chef Curtis and Michael opened Ever in Chicago. In October of 2022, they opened a cocktail lounge called After. Show notes… Calls to ACTION!!! Join Restaurant Unstoppable Network and get your first 30 days on me!  Connect with my past guest and a community of superfans. Subscribe to the Restaurant Unstoppable YouTube Channel Join the private Unstoppable Facebook Group Join the email list! (Scroll Down to get the Vendor List!) Favor success quote/mantra: "Give them (your employees) them the tools they need to be successful. hold them to the highest standard possible and get out of the way." In this episode with Michael Muser we will discuss: The relationship with staff Working in a hotel Advice on choosing a location BOH layout Partnerships Today's sponsor: At Popmenu, we know that in today's world, a great hospitality experience usually begins online. Keeping the conversation with guests going beyond the meal also requires simple, powerful, fun technology capable of expression through all kinds of channels. Our team takes pride in helping restaurants put their best foot forward digitally so they can focus on what they do best. We think PDF menus are super boring, we believe 3rd party platforms have had too much say in how consumers find their next dining experience and we deeply feel that sharing your beautiful menu doesn't have to be so difficult, time-consuming and expensive. As a listener of the Restaurant Unstoppable, you'll receive $100 off your first month of Popmenu! Join the 60-day Restaurant Systems Pro FREE TRAINING. This is something that has never been done before. This 60-day event is at no cost to you, but it is not for everyone. Fred Langley, CEO of Restaurant Systems Pro, will lead a group of restaurateurs through the Restaurant Systems Pro software and set up the systems for your restaurant. During the 60 days, Fred will walk you through the Restaurant Systems Pro Process and help you crush the following goals: Recipe Costing Cards; Guidance in your books for accounting; Cash controls; Sales Forecasting(With Accuracy); Checklists; Budgeting for the entire year; Scheduling for profit; More butts in seats and more… Click Here to learn more. 7shifts is the team management platform for restaurants. From hiring to scheduling, training, and retaining, they've got the tools you need to help you run your business with ease. Better understand your restaurant, hit your labor targets, and keep your entire team connected. Plus, 7shifts integrates with POS and payroll systems you already use and trust! Join over 30,000 restaurants using 7shifts today. Restaurant Unstoppable listeners get 3 months for free. Sign up here: https://www.7shifts.com/unstoppable Knowledge bombs Which "it factor" habit, trait, or characteristic you believe most contributes to your success? I show up What is your biggest weakness? Too emotional What's one thing you ask or look for when interviewing/growing your team? a real sense of commitment What's a current challenge? How are you dealing with it? Finding committed employees Share one code of conduct or behavior you teach your team. Always remember that the person you are talking to is dealing with a million things that you don't know anything about. What is one uncommon standard of service you teach your staff? Name check What's one book we must read to become a better person or restaurant owner? The Alchemist by Paulo Coelho GET THIS BOOK FOR FREE AT AUDIBLE.COM  What's one piece of technology you've adopted within your restaurant walls and how has it influence operations? Tock reservation system What is one thing you feel restaurateurs don't do well enough or often enough? Restaurants at a particular price point who don't have ceiling (exposed, painted air ducts are ugly) If you got the news that you'd be leaving this world tomorrow and all memories of you, your work, and your restaurants would be lost with your departure with the exception of 3 pieces of wisdom you could leave behind for the good of humanity, what would they be? Show up Be early Stay late Contact: Email: employment@ever-restaurant.com Instagram... Ever: @everrestaurant After: @afterloungechicago Michael: @photo_muse Thanks for listening! Thanks so much for joining today! Have some feedback you'd like to share? Leave a note in the comment section below! If you enjoyed this episode, please share it using the social media buttons you see at the top of the post. Also, please leave an honest review for the Restaurant Unstoppable Podcast on iTunes! Ratings and reviews are extremely helpful and greatly appreciated! They do matter in the rankings of the show, and I read each and every one of them. And finally, don't forget to subscribe to the show on iTunes to get automatic updates. Huge thanks to Michael Muser for joining me for another awesome episode. Until next time! Restaurant Unstoppable is a free podcast. One of the ways I'm able to make it free is by earning a commission when sharing certain products with you. I've made it a core value to only share tools, resources, and services my guest mentors have recommend, first. If you're finding value in my podcast, please use my links!

See omnystudio.com/listener for privacy information.

Talking about Muse's new album, Will Of The People, with fellow Muser, Crystal!

Buat sampe di titik kita ada sekarang, pasti banyak banget peristiwa yang harus dilewatin

#66 - Michael Muser on Lessons From Working With The Top 0.1%, Starting a Three-Michelin Star Restaurant and PhotographyMichael Muser talks about his experiences working with the top 0.1% best in the world, how he studied winemaking, where he got a taste of the culinary industry, what it means for a restaurateur to earn a Michelin star, bounce back from a closed business, and open another one in the time of the pandemic, and lastly, how he deals with raising a daughter. ▷ Full show notes on https://ptl.fm/podcastI hope you learned something out of that episode! Now go crush it out there and remember to be nice with our planet - we only got one!Please, SHARE this episode AND leave a 5* rating on Apple / Spotify - It means a lot, THANK YOU!▷ Get Free Access to Pierre's bi-monthly TOP 5 email with inspiration, books, tips, gear and more - Join the tribe: https://pierretlambert.com/top5▷ Twitter: https://twitter.com/pierretlambert▷ YouTube: https://youtube.com/pierretlambert101▷ Instagram: https://instagram.com/pierretlambert

Short & Sweet- Tanis 12b- Rabbi Muser

Om indesnening på Sukkertoppen, Fashionnyt og blind dating...

Short & Sweet- Rabbi Chona Muser- Tanis 6b

＼祝30回記念／妄想さえできれば夢は叶う！やりたいことが実現しない人へドリームボードの作成を提案！視覚からの情報を上手く利用して、夢を叶えましょう。頭の中にイメージはたくさんあるけど、言語化が苦手な方にオススメのエピソード。   2021年6月30日(水)20:30スタート 【MUSER OFFICE JAM】雨があがったら 2000YELL シンガーソングライター MAMINO率いるTHE TRIOのライブにUcca-Laguhがゲスト出演！ チケットご購入は、LIVEを見ながらアーティストを応援する配信プラットフォーム MUSERから https://muser.link/__b/events/473   Ucca-Laugh LINE公式 https://lin.ee/zrWiEJg @208hshlk 抽選にチャレンジ★今なら、Ucca-Laughに無料で30分相談できる＼Meet Ucca-Laugh／が当たる！   Twitter #うちゅ恋 Instagram @uchukoi   【スポンサー募集中】お問い合わせ：info@ucca-laugh.com

In »Kannawonniwasein – Manchmal fliegt einem alles um die Ohren« geht der dreibeinige Hund Nuschki erst verloren und taucht am Ende doch wieder auf – jetzt erfahren wir endlich, was er in der Zwischenzeit erlebt hat! Nach einem Bootsunfall schwimmt Nuschki allein in der Oder. Mit letzter Kraft kann er sich ans Ufer retten. Doch leider landet er auf der anderen Seite des Flusses. Wie soll er jemals zu Antek zurückfinden? Der macht sich bestimmt schon Sorgen! Zum Glück lernt Nuschki Derrick kennen, einen deutschen Schäferhund mit Erfahrung, und die blinde Ratte Helga. Mit Hilfe der beiden meistert Nuschki mutig den Weg zurück nach Hause. Über den Autor: Martin Muser ist freier Autor, Dramaturg und Dozent und lebt in Berlin. Neben zwei Kriminalromanen hat er über 50 Drehbücher für das deutsche Fernsehen geschrieben, hauptsächlich für Krimiserien wie »Der Alte« und »Küstenwache«. Über den Sprecher: Stefan Kaminski, 1974 geboren, schloss sein Studium an der Hochschule für Schauspielkunst »Ernst Busch« ab. 1996 begann er seine Laufbahn als Sprecher und Schauspieler. Dank seiner enorm wandelbaren Stimme gilt er als Meister des »Stimm-Morphings«. Seine Lesungen und Live-Shows avancieren oft zu Ein-Mann-Hörspielen der Extraklasse. Für seine Hörbuch- und Hörspielproduktionen wurde er vielfach ausgezeichnet, unter anderem mit dem Preis der Deutschen Schallplattenkritik, dem Deutschen Hörbuchpreis 2017 und 2019 sowie dem Jahrespreis der hr2-Hörbuchbestenliste 2018.

6-2-2021 See omnystudio.com/listener for privacy information.

Do you feel stuck in life? Like your relationship with God is not what it used to be? Do you think you've messed up yourself too much and God can't use you for His glory again? Do you feel ashamed of being identified with Christ? Then this episode is for you. I had a candid conversation with young minister Prince James; a young man serving God unapologetically and doing exploits for Christ. He shares with us his challenges as a young man on campus and how he overcame those challenges. You can find him on Facebook, IG and Twitter as the Muser of life.

3-18-21 See omnystudio.com/listener for privacy information.

Bist Du zu analog? Suchst Du nach einfachen Wegen, dein Geschäft oder deinen Side Hustle online zu bringen? In diesem Interview mit der Digitalstrategin Katrin Muser liefern wir Beispiele für digitale Geschäftsmodelle, die auch "Anfänger" ansprechen. Support the show (https://www.buymeacoffee.com/Nein2Five)

Yes. Husbands helping at home is Rabbinically endorsed.

Lust auf einen spannenden Roadtrip? Dann ist "Kannawoniwasein" von Martin Muser genau das Richtige für dich.

Join us for a catch up after a difficult week in the hughes household. We talk start our new segment leading on from a previous Musing, and meet a new member of the Muser community who is starting something very exciting.

Fooditor Radio Is All Dressed Up And Has No Place To Go tours upcoming restaurant Ever, with owner/GM Michael Muser

Are you allowed to make a halachic "baseless threat" without really "holding" that that is the correct halacha?

*Peter Efremidis's IG: https://www.instagram.com/peter.efremidis/ *Peter's YouTube: https://www.youtube.com/channel/UC0McLHmMZzRIXzcluGljHDQ *Indigo's IG: https://www.instagram.com/indigothebandgr/ *Indigo's YouTube: https://www.youtube.com/channel/UCZcC3uKQ0m7qskGU_PS6aSQ *My other podcast: https://www.instagram.com/quarantinedhappyhour/ *Main IG account: https://www.instagram.com/smalltowngirltravel/ *Musecast YouTube Channel: https://www.youtube.com/channel/UC8ATGg0ar-XS0p2sMWPrHGQ *Instagram: https://www.instagram.com/musecastpod/ *Twitter: https://twitter.com/MusecastPod *Teignmouth 1960 Film: https://www.youtube.com/watch?v=-YBpGe6Iav0 *Teignmouth (2018): https://www.youtube.com/watch?v=dq7Nk1yPZG4 *Teignmouth (2019): https://www.youtube.com/watch?v=AcpyVM3m8t4 *Inkspot: http://www.inkspot.plus.com/ *WeFerry: https://www.weferry.co.uk/ *Get $50 cash & $25 to donate by opening up a checking account with Aspiration, the bank I use, here: https://my.aspiration.com/app/token/referral/81USGU416L1B245T --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/musecastpodcast/message

Understanding the mitzvos of Pesach night

Lust auf einen spannenden Roadtrip? Dann ist "Kannawoniwasein" von Martin Muser genau das Richtige für dich. ;)

Lust auf einen spannenden Roadtrip? Dann ist "Kannawoniwasein" von Martin Muser genau das Richtige für dich:).

Forfatter og spaltist Marta Breen har skrevet en rekke bøker om kjønnsroller, feminisme og kvinner i norsk samfunnsliv. Hennes forrige bok "Kvinner i kamp" er solgt til 27 land. I sin nye bok, "Om muser og menn" tar Breen for seg historien om kvinner i nordisk kulturliv og offentlighet. Dette er fortellingen om den evige kampen for å skaffe seg et eget rom. Om kulturmenn av begge kjønn. Om Ingmar Bergman, Amalie Skram og Bjørn Afzelius. Om groupies, muser og stalkere. Om det mannlige blikket, brystvorter og viktigheten av å ha nok vin. Foredraget var en del av JAVEL! Mangfoldsuka på Universitetet i Agder, i samarbeid med Senter for likestilling og Kristiansand folkebibliotek.

Shad Kunkle has hustled through over a decade in comedy, and has an inside look at what "making it" in entertainment really means. The actor and Second City performer brings in some real talk about money in comedy, as well as stories of Muser's own acting past. This podcast was brought to you by the best PR team in the business, Melissa Harris and Jane Hirt. Show notes: Michael Muser on Instagram Shad Kunkle's Website Shad Kunkle on Twitter

Joey Cranford has lived many lives: as the founder of the Chicago Magic Lounge, a film actor, a comedian… and a parole officer? Muser and Pat talk to Joey about the twist and turns of his life, and learn how Muser partially inspired the Chicago Magic Lounge. This podcast was brought to you by the best PR team in the business, Melissa Harris and Jane Hirt. Show notes: Michael Muser on Instagram The Chicago Magic Lounge The Chicago Magic Lounge on Instagram

Lucian Bogdan lives every day with kindness, thoughtfulness, and empathy. He's a vegan and can carry more plates at once than you think is humanly possible. From growing up in communist Romania, to leaving for the United States at 23, to overcoming intense negative habits, Lucian has worked tirelessly every day to build the best life for himself and the people around him. Muser and Pat talk to him about his life's journey so far and the lessons they've learned from adventuring around the world together on motorcycles. This podcast was brought to you by the best PR team in the business, Melissa Harris and Jane Hirt. Show notes: Michael Muser on Instagram

Phillip Foss is the chef and owner of EL Ideas in Chicago’s Douglas Park neighborhood. EL Ideas received its first Michelin-star in 2013 and received three stars from the Chicago Tribune. Foss may be living the chef's dream with his own restaurant, but he experienced his fair share of screw-ups along the way. From crashing & burning as a teenager to getting fired as an adult from a social media post, Foss has been through it all and then literally wrote the book on it. Muser and Pat dive into his wild path to success and what drove Foss to not only become the owner of a Michelin-starred restaurant, but the author of a graphic novel memoir. This podcast was brought to you by the best PR team in the business, Melissa Harris and Jane Hirt. Show notes: EL Ideas Life in EL Phillip Foss on Twitter Michael Muser on Instagram

Over the last three decades, Michael Muser’s goal has been to create an unforgettable experience for those who step into any restaurant he’s a part of.

After fall from Grace, Chef and Business Partner plan the best Ever An interview with Chef Curtis Duffy and Business Partner Michael Muser, conducted by Monica Eng, WBEZ radio When Grace restaurant abruptly closed in 2017, the shutdown made national news. How could an eatery that had earned three Michelin stars, (one of only 14 restaurants in America to earn such status) so quickly cease to exist? Conflict with the restaurant’s chief funder apparently was the cause, and one of our country’s top chefs, Curtis Duffy, along with the restaurant’s gifted business partner, Michael Muser, were devastated. A small-town kid from Ohio, Duffy overcame unspeakable family tragedy when he was 19 years old. He found solace through cooking, showing exceptional talent and drive while working his way to the top of Chicago’s food chain at Charlie Trotter’s, Alinea, and Avenues. The Michelin acclaim and James Beard Award he garnered while heading the kitchen at Grace created a long wait to get reservations. Working side-by-side with Chef Duffy during his Grace period was Michael Muser, a 30-year veteran of the restaurant industry, and an accomplished sommelier. The two were said to painstakingly engineer every detail to showcase their skills and provide exceptionally delicious food along with the epitome of hospitality. The duo say they intend to stay at the top of their field when they open their new restaurant, Ever, next year. Do join us to find out how the minds of creative souls like Messrs. Duffy and Muser work. What goes into conceiving a groundbreaking restaurant and its menu? What is their creative process like? What does hospitality mean to them? And who better to ask these questions than Monica Eng, a reporter and producer for WBEZ Public Radio. Before joining WBEZ, Monica was a food, culture and watchdog- investigative reporter at the Chicago Tribune. She will happily pick our speakers’ brains to the bone. And our members will have their own chance to grill the partners during the Q&A at the end of the program. Recorded at Bethany Retirement Community on November 2, 2019 www.CulinaryHistorians.com

Join Alex and Martin as they discuss the week's happenings in the soccer world.

Join Alex and Martin as they discuss the week's happenings in the soccer world.

Join Alex and Martin as they discuss the week's happenings in the soccer world.

Ari and Maggie flip the normal format this week for a long interview with Curtis Duffy and Michael Muser, the team behind the Michelin Star-winning Grace and Avenues (and the subjects of the “For Grace” documentary on Netflix) to talk about their start, what happened with Grace, and what to expect from their forthcoming concept, Ever.

AirAsia’s Foundation supports social enterprises across Asia. Mun Ching shares her stories of working at the frontline with areas devastated by natural disaster. In this episode of On Air Asia, she takes us on a journey to Aceh Sumatra, wiped out by tsunami 10 years ago and then to the northernmost reaches of Thailand, to learn of the Muser hill tribes who were weaned off Opium crops to later growing their own sustainable coffee.

There are fourteen 3 star Michelin rated restaurants in the United States, yes, only 14! And this week Jay sits down with the Ex-General Manager Michael Muser of Grace in Chicago to talk food, fine dinning and what lengths you go to to get a 3star michelin rating. It’s not often you get to speak candidly with someone so on top of their game! Did we mention this ep is recorded in Biggs Mansion? A cigar club in Chicago? Kinda cool. Be sure to share on social media and with friends. #Thruline Learn more about your ad choices. Visit megaphone.fm/adchoices

Join Alex and Martin as they discuss the week's happenings in the soccer world.

Kvinnekampen har i stor grad handla om å bryte seg inn i menns lukka rom – vere seg arbeidslivet, politikken, utelivet eller idretten, og dei som har gått føre, har ofte gjort det med store personlege kostnadar. I boka Om muser og menn skriv Marta Breen historia om den evige kampen for å skaffe seg eit eige rom. Og om eksentriske kulturmenn av alle kjønn, om groupies, muser og stalkers.

Kvinnekampen har i stor grad dreid seg om at kvinner bryter seg inn i menns lukkede rom, enten det gjelder arbeidslivet, det politiske livet, utelivet eller kulturlivet, skriver Marta Breen i sin nye bok. Hva slags rom har kvinnene hatt opp gjennom historien, spør vi.

Are all schach's created equal? Short & Sweet rundown from Rabbi Chona Muser

Are all schach's created equal? Short & Sweet rundown from Rabbi Chona Muser

Join Martin as he discusses the week's happenings in the soccer world.

Join Martin as he discusses the week's happenings in the soccer world.

Vi söker efter källan till inspiration för några av operavärldens mest inflytelserika kompositörer. Vilken sångerska hade till exempel Verdi i åtanke när han skapade karaktären Violetta i La Traviata? I alla tider har muserna inspirerat operakonstens upphovsmän. I veckans avsnitt av Operahuset i P2 fokuserar vi på några av de sångerskor och sångare som fått klassiska roller skrivna direkt till sig. Går det idag att avgöra vilka kvaliteter som utmärkte dessa utövare? Veckans gäst är koloratursopranen Kerstin Avemo, som själv har erfarenhet av att gestalta helt nya karaktärer på operascenen.

Dr. Wang:            Welcome to the monthly podcast On The Beat for Circulation, Arrhythmia and Electrophysiology. I'm Dr. Paul Wang, editor-in-chief, with some of the key highlights from this month's issue. We'll also hear from Dr. Suraj Kapa, reporting on new research from the latest journal articles in the field.                                 This month's issue of Circulation: Arrhythmia and Electrophysiology has a number of fascinating and important articles. Let's start with the first article by Philip Halbfass and Associates, which describes the use of esophageal endoscopy in patients undergoing atrial fibrillation ablation. Of 1,802 patients undergoing afib ablation, 832 underwent post-procedural esophageal endoscopy. All patients were ablated using a single tip re-circular ablation catheter. Category one lesions described as erythema erosion were seen in 98 out of these 295 patients, while in 52 out of the 295 patients, ulceration was seen. In three of the 832 patients, esophageal perforation occurred, and in two of the 832 patients, atrial-esophageal fistula occurred.                                 Esophageal perforation only occurred in patients with category two lesions with an absolute risk of 9.6%. The authors concluded that post-ablation esophageal endoscopy is able to identify patients with high-risk lesions. One out of 10 patients with post-ablation esophageal ulcers progressed to perforation, while no patients without esophageal ulcers showed evidence of perforating complications.                                 In the next article by Christian Sohns and Associates describes the relationship between atrial fibrosis identified with magnetic resonance imaging and atrial rotor activity identified by noninvasive electrophysiological mapping. Ten patients underwent pulmonary vein isolation for persistent atrial fibrillation. Late gadolinium enhancement using magnetic resonance imaging, which projected onto the anatomy used for noninvasive electrophysiologic mapping.                                 The noninvasive electrophysiologic mapping identified 410 rotors evenly distributed between the left atrium and the right atrium. This study found that there was no statistically significant association between the presence of late gadolinium enhancement and the presence of rotors.                                 In the next article written by Jereon Venlet examines the endocardial unipolar voltage that best identifies abnormal epicardial electrograms. Thirty-three patients underwent endocardial epicardial right ventricular electro-anatomical mapping in ablation of right ventricular scar-related ventricular tachycardia. Eighty-six percent of abnormal epicardial electrograms had corresponding endocardial sites with bipolar electrogram less than 1.5 millivolts.                                 The remaining abnormal epicardial electrograms could be identified by endocardial unipolar voltages of less than 3.7 millivolts. The authors concluded that this use of endocardial unipolar voltage cut off at normal bipolar voltage sites improves the identification of all abnormal epicardial electrograms where there is less than 1 millimeter of fat.                                 The next article by Alan Bulava and Associates examines the outcomes of hybrid epicardial and endocardial radial frequency ablation, a persistent atrial fibrillation. Seventy patients underwent the epicardial thoracoscopic procedure followed by endocardial mapping ablation two to three months later. At the time of catheter ablation, 76% of patients were in sinus rhythm. All four pulmonary veins were found to be isolated in 69% of the patients and the left atrial posterior wall was isolated in 23% of the patients.                                 In the 12 months after the catheter ablation, 77% were arrhythmia-free, off antirrhythmic drugs. The majority of arrhythmia occurrences occur during the first 12 months following catheter ablation. Using previously ineffective antiarrythmics drugs and re-ablation procedures, arrhythmia-free survival increased to 97% during a mean followup of 936 days. Left atrial volume greater than 165 milliliters, the absence of sinus rhythm before catheter ablation and induce-ability of any sustained tachyarrhythmia at the end of catheter ablation predicted atrial fibrillation recurrence.                                 The authors concluded that the majority of patients after epicardial ablation required endocardial catheter ablation to complete the linear ablation or pulmonary vein isolation lesion sets. In the next article, Jason Roberts and Associates studied the clinical phenotype of Type 6 Long QT Syndrome, stemming from mutations in the KCNE2 encoded voltage gated channel beta subunit.                                 The authors examined individuals reported pathogenic KCNE2 mutations collected from inherited arrhythmia clinics in the Rochester LQTS registry as well as previously reported LQT6 cases identified through a med-line database search. Of 44 probands studied, 16 probands had resting QTC intervals and only developed QT prolongation and malignant arrhythmias following exposure to QT prolonging stressors. Ten had other Long QT pathogenic mutations and 10 did not have a Long QT phenotype, with the remaining eight subjects having a Long QT phenotype, but with evidence suggesting that the KCNE2 variant was not the underlying culprit.                                 The authors noted that the collective frequency of KCNE2 variance implicated in Long QT6 syndrome in the exome aggregation consortium database was 1.4%, in comparison with the 0.0005% estimated clinical prevalence of LQT6 syndrome. Thus, the authors concluded that based on clinical phenotype, the high allelic frequencies of LQT6 mutations in the exome consortium database, in absence of prior documentation of genotype phenotype segregation, many KCNE2 variants, and perhaps all have been erroneously designated as long QT syndrome causative mutations.                                 Instead, KCNE2 variants may confer pro-arrhythmic susceptibility when provoked by additional environmental acquired or genetic factors. In the next article, Alexander Quinn and Associates examine how mechanically-induced ectopy may cause ventricular fibrillation, the mechanism of commotio cordis. It is known that the block of stretched sensitive ATP inactivated potassium channels limits ventricular fibrillation occurrence in a porcine model of commotio cordis.                                 In isolated rabbit heart preparations using optical voltage mapping combined with pharmacological block of potassium ATP or stretch activated cation nonselective channels, the authors showed that the mechanical stimulation reliably triggers premature ventricular excitation at the contact site with induce-ability predicted by local tissue indentation. Mechanically-induced premature ventricular excitation induction is decreased by stretch activated cation nonselective channel block.                                 The authors also found that mechanically-induced premature ventricular excitation resulted in ventricular fibrillation only if the mechanical stimulation site overlaps the re-polarization wave edge in hearts where T-waves involve a well-defined re-polarization edge traversing the epicardium. This defines a narrow subject-specific vulnerable window for commotio cordis-induced ventricular fibrillation in both time and space.                                 In the next article Matthias Seidl and Associates examine the gene expression required for development of atrial fibrillation in a transgenic mouse model. Recent studies showed that atrial fibrillation susceptibility is associated with down regularization of target genes of the CREB/CREM family of transcription factors. CREB/CREM refers to cyclic and P-response element binding protein modulator.                                 Short CREM repressor isoforms like CREM-IbΔC-X bind to cyclical A&P responsive elements preventing transcriptional activation. Messenger RNA for CREM-IbΔC-X is up-regulated in atrial biopsies from patients with paroxysmal or chronic atrial fibrillation. The authors examined transgenic mice expressing CREM-IbΔC-X, which spontaneously developed atrial fibrillation proceeding to permanent fibrillation with age.                                 The authors found that the most prominent alterations of the gene program linked to CREM-induced atria modeling were identified in expression of genes related to structure, metabolism, contractility and electrical activity regulation. In the next article by Takumi Yamada and Associates electrophysiologic characteristics of the idiopathic ventricular arrhythmias originating from the parietal band, one of the muscle bands of the right ventricle, were examined.                                  Of 294 consecutive patients with right ventricular origins, 14 patients had ventricular arrhythmia origins in the parietal band. All patients have left bundle block pattern with 12 inferior and two superior axis. All patients had the notch in the middle of the curess in all cases. Seven patients had precordial transition before lead V3 and four patients had a slow curess onset.                                 Far field ventricular electrogram with an early activation was always recorded in His bundle region regardless of the location of the ventricular arrhythmia origin. During the catheter ablation, a mean number of 10.4 radio frequency of applications with a mean duration of 1,099 seconds were delivered. Catheter ablation was successful in 10 patients and ventricular arrhythmias recurred in four with a mean followup of 41 months.                                 In the Advances in Arrhythmia and Electrophysiology section, the Buza and Associates have reviewed cancer treatment-induced arrhythmias. The authors describe ECD advances in arrhythmias associated with individual cancer chemotherapeutic agents. Now here with a review of the highlights from the articles from journals throughout the world in the past month, is Dr. Suraj Kapa. Dr. Kapa:              Hello. Today we're going to be going over several hard hitting articles we have identified that seem to stand out in the electrophysiological literature from the month of July 2017. The first area we will be delving into is that of atrial fibrillation. Specifically related to cardiac mapping and ablation. The first article in this area that we've chosen was published by Samuel et al. in the Journal of Cardiovascular Electrophysiology entitled Catheter Ablation for the Treatment of Atrial Fibrillation Is Associated with a Reduction in Healthcare Resource Utilization.                                 Samuel et al. reviewed data from a large population base cohort in Quebec, Canada including over 1,500 patients undergoing cardiac ablation for atrial fibrillation. They demonstrated that healthcare resource utilization including hospitalizations, emergency room visits and cardioversions were significantly reduced both 12 months as well as 24 months after the next ablation. These findings seem to suggest that catheter ablation has a sustained overall impact on resource utilization amongst patients with atrial fibrillation.                                 While the study was not randomized and was a retrospective evaluation of outcomes, these findings are provocative. Certainly as we wait for the results of the Cabana trial in about one year we hope to see whether or not cardiac ablation carries the weight of potential beneficial impacts both in terms of long-term care as well as long-term outcomes. Of course being a retrospective evaluation, one question that lies with regards to these findings is whether or not the reduction in resource utilization might be a byproduct of improved ambulatory care of these patients or whether it's a byproduct of patients understanding their disease process better, and thus perhaps not seeking emergency room care or hospitalization as frequently.                                 The next publication we'll focus on was published by Anselmino et al. in The International Journal of Cardiology entitled Conduction Recovery Following Catheter Ablation in Patients with Recurrent Atrial Fibrillation and Heart Failure. This publication synergizes with several other publications that have come out in the month of July. Focusing on the publication by Anselmino et al., they reviewed retrospectively patients undergoing redo atrial fibrillation ablation in the setting of underlying heart failure.                                 What they demonstrated was that nearly a third of patients had no pulmonary vein reconnection, but tended to have more persistent forms of atrial fibrillation suggesting more extensive atrial substraights. This study is complimentary to a publication by [inaudible 00:15:23] et al., published in JACC EP. this past month where they evaluated the longterm outcomes of patients who, when presenting for redo atrial fibrillation ablation had persistent pulmonary vein isolation.                                 In that article, they found that nearly 17% of patients presenting for redo ablation had persistent pulmonary vein isolation. Moreover, these patients tended to perform significantly worse in terms of longterm outcomes than those who presented with PV reconnection, with about a 56% freedom from affiliate swipe after we do ablation in the setting of persistent pulmonary vein isolation as opposed to 76% when there was PV reconnection seen.                                 So the question becomes if we see this greater atrial substraight, should we automatically be doing more ablation? Of course as we all know, there have been many studies performed trying to tease out whether additional ablation in patients who might have more significant atrial substraight carries benefits. In this regard, Fink et al. in last month's edition of Circulation, Arrhythmia and Electrophysiology demonstrated that in fact as an index procedure of performing a stepwise concomitant café plus linear ablation on top of pulmonary vein isolation in persistent and long standing persistent atrial fibrillation patients did not necessarily confer an increased likelihood of longterm success over pulmonary vein isolation alone.                                 Thus, the jury continues to still be out as far as what the right strategy is in many of these patients. However, these studies highlight the importance of continued evaluation and understanding of how we can use information about atrial substraight to guide our ablation procedures more successfully. Changing gears, we'll move on the pathophysiology mechanisms of disease within atrial fibrillation.                                 The article we will choose to focus on here was published by Die et al. in The Journal of Cardiovascular Electrophysiology entitled The Effects of Extrinsic Cardiac Nerve Stimulation on Atrial Fibrillation Induce-ability: The Regulatory Role of the Spinal Cord. Over the course of the last several years many investigators have sought to show that modulation of the autonomic nervous system can successfully alter cardiac electrophysiology and provide antiarrythmic benefits.                                 However, when subject to prospective trials such as the recently published Defeat HF Trial, they have not necessarily found clear benefit. Thus, a critical question becomes how we translate our animal models into human treatment. The interesting results from Die et al. lie in the fact that they looked at the effects of spinal cord stimulation and spinal cord block in addition to concomitant stimulation of other centers such as the venous nerve, the stellate ganglion and ganglionated plexi.                                 They demonstrated that spinal cord stimulation enhanced the effects of venial nerve stimulation while attenuating the effects of stimulating the left stellate ganglion or ganglionated plexus. In turn, the combinations of these different levels of stimulation had different effects on affiliate swipe induce-ability, whether significantly increasing or decreasing the potential.                                 The reason this article is important is it highlights the extensive cross linking and synergy that exists within the autonomic nervous system and that attention paid to only a single center of autonomic innovation may not be sufficient for certain paradigms of care. This past month there were also two reviews summarizing the role of the autonomic nervous system and modulation of that nervous system and the treatment of arrhythmias.                                 The first was by Witt et al. and Europace. The other by Schwartz et al. in the International Journal of Cardiology. These articles help the reader understand the extensive crosslinking and cross communication that might occur, that might sometimes defeat our efforts to use a single element of the autonomic nervous system to modulate cardiac arrhythmias. Changing gears yet again, we'll move on to risk stratification and management for atrial fibrillation.                                 Perino et al. in last month's edition of The Journal of the American College of Cardiology published an article entitled Treating Specialty in Outcomes in Newly Diagnosed Atrial Fibrillation from the Treat AF Study. They present data based on a very large cohort of over 180,000 veterans regarding the effect of treating specialty on atrial fibrillation outcome. Interestingly they demonstrated that when a cardiologist was involved in the care of the patient, there was an overall decrease in stroke and mortality.                                 Albeit with a concomitant increase in hospitalization for AF. The stroke reduction seen was also seen to be secondary to better anticoagulation prescription within 90 days of diagnosis when those patients were seen by a cardiologist as compared with a general internist. This earlier prescription anticoagulation however did not mediate the mortality reduction. These data presented by a Perino et al. are provocative in this era of rising healthcare costs.                                 The question is, as atrial fibrillation rates rise, as the general population ages, how quickly and how aggressively we should engage specialty care early on in patient evaluation. The data by Perino et al. suggests that maybe this engagement should occur earlier. Part of the reasons for this might be improved understanding of current evidence regarding treatment of such patients or better systems of care that allow for providers to identify patients who might need alterations and care faster.                                 However, if anything this is hypothesis-generating. Why anticoagulation prescriptions are delayed when patients are not seen by a specialist or why there would be a difference in mortality are important factors to review further. In this past month Hernandez et al. in Stroke published an article discussing the large degree of geographic variation that exists with regards to appropriate anticoagulation prescription in patients with atrial fibrillation.                                 They demonstrated that there's extensive inhomogeneity across the United States in terms of how and in whom anticoagulation gets prescribed. Thus, how much of these outcomes are specialist-driven, geographically-driven or based on elements of access to care or other issues are going to be important features that have to be evaluated.                                 The next article in risk stratification was published by Mostofsky et al. in Heart, entitle Chocolate Intake and Risk of Clinically Apparent Atrial Fibrillation: The Danish Diet, Cancer and Heart Study. In this study they demonstrated in a population of over 55,000 patients that when accounting for as many variables as they could, higher chocolate intake, more than once per month, was associated with a decreased atrial fibrillation risk when compared with those consuming less chocolate than once per month.                                 Of course, they note that despite these attempts to account for multiple confounding variables, residuary confounders cannot be accounted for. The relevance of this article lies in the question of lifestyle choices patients are asked to make when thinking about how to either prevent themselves from having atrial fibrillation or trying to even treat their atrial fibrillation risk.                                 Chocolate has been shown to have multiple potential beneficial effects in multiple areas of cardiology, however, how to counsel patients with data like these becomes very difficult. The questions lies in how chocolate might mediate arrhythmia risk and how it might also modulate other potential risks such as weight gain or other factors.                                 Thus while important to consider this in light of patients often asking what they can and cannot have, it is important to further consider that we don't understand the full story. The other key element to understand is that really when they say that chocolate intake reduces risk of clinically apparent atrial fibrillation they are speaking about moderate chocolate intake and not necessarily having it for three meals a day.                                 Changing gears away from atrial fibrillation, we will next focus on the area of ICDs pacemakers and CRT. Aberi et al. in Nature's Scientific Reports published regarding inductively power wireless pacing via miniature pacemaker and remote stimulation control system. Their approach provides potential novel opportunities beyond currently available both lead-based and leadless pacemakers and improving battery and allowing for further miniaturization of such devices.                                 They noted by creating a very novel inductive power supply they're able to miniaturize the pacing components and also significantly reduce the power requirements. In fact, they suggested that they could create a leadless device that could be as small as being delivered out of the anterior ventricular vein. This is the first report of such an inductively powered miniaturized pacing system with low enough power consumption that may prove viable for ambulatory human use.                                 The desire to create improved pacing and fibrillation systems is further highlighted by an article published by [Kalu 00:25:41] et al. in JACC Clinical Electrophysiology this past month where they demonstrated initial results of percutaneous epicardially delivered partially insulated defibrillator lead. Work like these holds the potential to improve options for patients and in traditional vascular access is not desired, or an identifying new ways of delivering pacing therapy that exists outside the traditional lead base or even somewhat miniaturized leadless approaches.                                 We'll next focus on the area of sudden death and cardiac arrest. The first article we'll focus on was published by Stecker et al. in The Journal of The American Heart Association entitled Health Insurance Expansion and Incidence of Out of Hospital Cardiac Arrest: A Pilot Study in the US Metropolitan Community. This article looked at the results of The Affordable Care Act, mainly health insurance expansion, on the rate of out of hospital cardiac arrest in a large US metropolitan community of over 600,000 people.                                 They separately studied a middle aged population that might have been affected by healthcare expansion versus an older population, above 65, who would have had relatively stable insurance plans having been covered by Medicare both prior to and after this change in healthcare plans. They demonstrated that there was a significant decrease in overall out of hospital cardiac arrests amongst middle age people without any significant change amongst the more elderly Medicare population in the same time period.                                 The time period studied was relatively short, nearly less than a decade. Of course, whether there were other events that might have occurred to alter this risk such as improvements in care beyond the combination of availability and mandates plus carrying health insurance, it remains to be seen. However, the data is very suggestive. Further evaluation at the national level in varying communities however would be useful, as well as consideration of population level cost benefit analysis.                                 The next article published by Shen et al. in the New England Journal of Medicine entitled Declining Risk of Sudden Death in Heart Failure. They presented data across 40,000 patients from multiple clinical trials over two decades regarding the changing rates of sudden death amongst heart failure patients. Interestingly they noted there was an overall 44% reduction in sudden death rates across these trials over time dating from the 1990s to 2014.                                 In the earliest trials considered, the mortality rate within 90 days after randomization was as high as 2.4% while the most recent trials suggest that that rate is more like 1.0%. This profound decline was attributed to improved usage and prescription of medications early on in the heart failure course, which may modulate outcomes.                                 The relevance of these findings lies in trials that have been published recently and met analysis that we've discussed regarding utility of defibrillators in nonischemic cardiomyopathy or even ischemic cardiomyopathy. The recently published Danish study suggested that ICDs might not confer an equivalent mortality risk as what would have been expected years ago. However, this publication by Shen et al. is particularly provocative because it calls into question whether the same mortality benefit we anticipated from earlier heart failure trials should still be the rubric by which current defibrillator trials are powered.                                 Namely, if we consider that Danish saw the 25% difference in mortality, with a 44% overall reduction in sudden death seen in trials over time for heart failure, seeking a 25% reduction might be excessive. Thus, this highlights the need to potentially power trials for ICDs and the benefit of such ICDs better. This importance of better stratifying better heart failure patients for sudden death risk has been raised in multiple articles this month, including in a review by Holiday et al. in Circulation and in the series of reviews published in Volume 237 of The International Journal of Cardiology.                                 The last article we choose to focus on in the role of sudden death and cardiac arrest was published by Vehmeijer in Circulation: Arrhythmia and Electrophysiology entitled Prevention of Sudden Cardiac Death in Adults with Congenital Heart Disease: Do the Guidelines Fall Short? They reviewed outcomes amongst 26,000 adults with congenital heart disease in light of existing guidelines for risk prediction and prevention of sudden death.                                 They demonstrated that less than half of the patients with sudden cardiac death actually had a guideline basis recommendation for an ICD on the basis of either the 2014 consensus statement on arrhythmias or the 2015 European Society of Cardiology Guidelines. These findings are very provocative in suggesting that we don't really understand who requires treatment amongst adults with congenital heart disease.                                 With improved care paradigms, both with improvements in surgical outcomes as well as ambulatory care of these patients and recognition of need for interventions, arrhythmias are becoming a greater and greater problem amongst patients with adult congenital heart disease. However, large scale studies are limited in stratifying overall risk of arrhythmias. The risk is certainly present as many of these patients have ventricular scar often attributable to cardiac surgeries or have hemodynamic insults that may result in progressive fibrosis of the ventricles.                                 In addition, the basal abnormalities of cardiac formation itself may lend itself to a sudden increased risk of arrhythmias. Thus, the question remains as how to best risk stratify these patients in order to reduce these overall sudden death rates. Changing gears yet again, we'll focus on two articles within the realm of cellular electrophysiology. The first article was published by Cerrone et al. in Nature Communications entitled Plakophilin-2 is Required for Transcription of Genes that Control Calcium Cycling and Cardiac Rhythm.                                 They demonstrated that plakophilin-2, or PKP2, which is known to mediate arrhythmogenic right ventricular cardiomyopathy due to abnormalities in the desmosomes actually has other direct electrical effects independent of substraight effects that are seen. Specifically PKP2 plays a significant role in maintaining gene transcription for several genes that mediate normal electrophysiologic activity, such as the ryanodine receptor, calsequestrin and others.                                 They demonstrated that this reduced expression of other genes secondary to PKP2 absence or abnormality leads to increased isoproterenol or adrenaline-induced arrhythmias that in turn can be suppressed with Flecainide. These findings are provocative in the fact that they suggest that it is possible for patients to have abnormalities of genes such as PKP2 that result in electrical abnormalities independent of the structural abnormalities.                                 Furthermore, it suggests that manifestation of the disease such as catecholaminergic polymorphic ventricular tachycardia may be immediate upstream of typical channels associated with the disease. For example, if PKP2 reduces expression of the ryanodine receptor, this might result in manifestations similar to CPTB in some patients. Along the same lines, Hewitt et al. published in Science Advances regarding deregulated calcium cycling underlies the development of arrhythmia and heart disease due to mutant obscurin.                                 Obscurins are a relatively growing area of interest as these are cytoskeletal proteins that have be associated with both hypertrophic and dilated cardiomyopathy. Similar to the story we just told about PKP2 however, they demonstrated that obscurins, likely through circa 2 and pentameric phospholamban can cause abnormal calcium handling. In fact, they demonstrated that the principle phenotype associated with obscurin abnormalities is one of an electrical abnormality, namely frequent PVCs.                                 In turn, mechanical phenotypes such as cardiomyopathy result in the setting of chronic pathologic stress such as increased afterload, thus these findings demonstrate that genes such as obscurin or PKP2, which are commonly associated with structural or mechanical myopathic processes might have direct independent electrical effects. The story with obscurin raises further question into how this may apply to conditions of PVC-related cardiomyopathy or other such conditions.                                 The other key point about these two areas of interest lie in the fact that it is possible as these genetic abnormalities mediate not just direct substraight elements, but arrhythmogenesis via abnormal channel expression, whether in all patients presenting with such specific genetic abnormalities substraight-based ablation alone will result in reduction of arrhythmia tendency. Of course this remains to be seen and is primarily hypothesis-generating.                                 Next we'll focus on three articles within the area of genetic channelopathies. The first paper was published by Rohatgi et al. in The Journal of the American College of Cardiology entitled Contemporary Outcomes in Patients With Long QT Syndrome. In a large single center practice, they reviewed the results of over 600 patients predominantly affected by LQT1 or LQT2 and demonstrated that after initial evaluation along with treatment based on the individual, done at a highly skilled center, 92% of patients did not experience any breakthrough cardiac events over longterm followup.                                 It was noted however, that the incidence of breakthrough cardiovascular events over longterm followup were far more common in patients who were symptomatic prior to their first evaluation than asymptomatic. In other words, if you were symptomatic prior to your first evaluation, the likelihood of a breakthrough cardiovascular event over longterm followup was as high as 25%, but if you were asymptomatic it was as low as 2%.                                 These data suggest that our overall care of the Long QT patient is improving. However, it also supports that further improvements in care are needed as breakthrough cardiovascular events can continue to occur. It also highlights the importance of close followup of that symptomatic patient in the modern era.                                 The second article was published by Kannenkeril et al. in JAMA Cardiology entitled the Efficacy of Flecainide in the Treatment of Catecholaminergic Polymorphic Ventricular Tachycardia. Flecainide currently carries a class 2A indication according to both the 2015 ENC guidelines and 2013 HRS AHRA APHRS consensus statement for treatment of patients with CPVT who fail max dose beta blockers. A lot of this evaluation however, has been based on retrospective evaluations.                                 Kannenkeril reviewed in a prospective single blind placebo controlled crossover trial the effect of Flecainide on exercise associated arrhythmias in CPTV patients who were already on max tolerated beta blockers and had an ICD. Amongst the 14 patients included of whom 13 completed the study, they showed there was a significant reduction in median ventricular arrhythmia score during exercise and in fact there was complete suppression with Flecainide compared to the placebo of 85%.                                 These findings thus add to the existing literature in terms the potential incremental value of Flecainide in achieving adequate arrhythmia suppression when used in conjunction with maximal tolerated beta blockers. The last article within the realm of genetic channelopathies we'll focus on was published by Yang et al. in The Journal of Physiology entitled A Multi-Scale Computational Modeling Approach Predicts Mechanisms of Female Sex Risk in the Setting of Arousal-Induced Arrhythmias.                                 It is recognized that female gender can increase the risk of Torsades in the setting of both inherited and acquired prolonged QT syndromes. In a combination of experimental and computational approaches, Yang et al. demonstrated that hormone concentrations can partly mediate this risk, specifically as it relates to her-related mutations. They demonstrated testosterone and high progesterone levels provide a protective effect against Torsades. However, estrogen can enhance Torsadogenic potential, particularly in the setting sympathetic stress.                                 They also demonstrated the mechanism by which this likely occurs is due to interaction of estrogen with pore loop or intracavity binding site of the her channel. In fact, on top of this they demonstrated that combined treatment with both estrogen and Dofetilide can simultaneously blockade the pore channel of her. These findings are provocative and hypothesis-generating. In terms of potential future research to further clarify risk for patients, particularly as it may apply to menstruating females who might have varying levels of estrogen, especially when being treated with concomitant QT prolonging agents such as Defetilide.                                 Next we will focus on three articles within the realm of ventricular arrhythmias. The first article was published by Sapp et al. in JACC Clinical Electrophysiology entitled Real Time Localization of Ventricular Tachycardia Origin from the Twelve Lead Electrocardiogram. They presented a methodology for rapidly determining in real time the approximate origin of a ventricular tachycardia using the 12 lead during cardiac ablation.                                 In 38 patients they used a variety of methods that involved multiple linear regression learning methods and demonstrated that a patient-specific regression method using at least 10 training set pacing sites in the individual patient can provide a localization accuracy of the exit site for VT of as much as five millimeters. Furthermore, with additional pacing sites that accuracy could improve further.                                 These findings support the continued utility of the standard 12 lead ECG in localizing the exit site of ventricular tachycardia. Furthermore, it points out the importance of considering that the electrocardiogram can be patient-specific. By using multiple pacing sites, this helps an algorithm learn how a patient-specific heart exists in terms of its electrical propagation potential. Further informing based on a 12 lead of a specific VT approximately where it should be exiting from.                                 The next article we will focus on was published by Muser et al. in again, JACC Clinical Electrophysiology entitled Longterm Outcomes of Catheter Ablation of Electrical Storm in Nonischemic Dilated Cardiomyopathy COMpared with Ischemic Cardiomyopathy. The summary point to this article is in a single center, large volume group of patients including about 267 total, the longterm outcomes of VT recurrence or mortality was no different between nonischemic and ischemic patients.                                 This is important to note as most prospective studies and in fact retrospective studies of the role of ventricular tachycardia ablation have focused on ischemic patients where the substraight is relatively predicable. These findings highlight that ablation may provide a reasonably effective therapy irrespective of the cause of the myopathy. Finally, changing gears within the realm of ventricular arrhythmias, we'll focus on a translational article by Motloch et al. in JACC Basic to Translational Science entitled Increased Afterload Following Myocardial Infarction Promotes Conduction-Dependent Arrhythmias That Are Unmasked by Hypokalemia.                                 They studied the role of increased afterload after myocardial infarction in a listing arrhythmias in a porcine infarct model. They demonstrated that in the setting of increased afterload there was increased widespread interstitial fibrosis. Interestingly, pacing -induced arrhythmias induced by a rapid burst pacing were mediated by hypokalemia associated conduction abnormalities rather than repolarization abnormalities.                                 The reason these findings are potentially important lie in the fact that arrhythmias in the early stages after myocardial infarction, especially in a setting of increased afterload, might be considered to be secondary to either repolarization abnormalities or depolarization abnormalities. These findings suggest that in the setting of concomitant hypertension the primary problem really lies in hypokalemia associated conduction abnormalities.                                 Thus, treatments that impair cardiac excitability, for example, even sodium channel blockade, may similarly confer an increased risk of ventricular arrhythmias when in the presence of increased afterload and myocardial infarction. It also calls into question whether interventions such as antitachycardia pacing in patients with hypertension, in other words increased afterload, might be more prone to acceleration of the ventricular arrhythmias than patients who are relatively better managed as far as afterload.                                 Changing gears yet again, we will focus on EP relevant myopathies. [inaudible 00:44:19] et al. published in JACC Clinical Electrophysiology regarding use of the 12 lead electrocardiogram to localize regions of abnormal electron atomic substraight in arrhythmogenic ventricular cardiomyopathy. There were really two major articles in this regard that have been published both in the same month.                                 The other article was published by Andrews et al. in Circulation, Arrhythmia and Electrophysiology entitled Electrical and Structural Substraight of Arrhythmogenic Right Ventricular Cardiomyopathy Determined Using Noninvasive Electrocardiographic Imaging and Late Gadolinium Magnetic Resonance Imaging.                                 The relevance of both of these articles lies in their statements about the potential utility of noninvasive approaches essentially using electrocardiograms to determine the distribution of substraight in arrhythmogenic right ventricular cardiomyopathy. The article by [inaudible 00:45:16] et al. specifically focused on fractionation of the QRS. They showed that patients with evidence of fractionation in the QRS on a 12 lead ECG had more extensive substraight.                                 Furthermore, distribution of fractionation to specific leads such as inferior, anterior or basal superior leads, was 100% specific, but veritably sensitive for identifying substraight as it localizes to specific cardiac regions. In turn, the publication by Andrews et al. in Circulation, Arrhythmia and Electrophysiology reviewed how the addition of multiple leads by a noninvasive electrocardiographic imaging could be used to even more specifically hone in on the relevant substraights.                                 Their further benefit was in the suggestion that repolarization abnormalities in fact co-localized with origination sites for ventricular ectopy in these patients. In combination, these sites highlight the utility of simple, noninvasive methods of electrocardiographic imaging in identifying and defining the arrhythmogenic substraight in the NRVC.                                 The next article we will review was by Sommariva et al. in Nature's Scientific Reports published just this past month entitled MIR 320A as a Potential Novel Circulating Biomarker of Arrhythmogenic Cardiomyopathy. They did micro RNA analysis on 53 healthy controls, 21 idiopathic VT patients and 36 arrhythmogenic cardiomyopathy patients and demonstrated that the circulating micro RNA 320A was significantly higher in arrhythmogenic cardiomyopathy than in either other cohorts.                                 It is recognized that some patients with idiopathic VT, especially right ventricular [inaudible 00:47:09] VT might reflect a cohort that might have what we call "concealed ARVC." The question thus becomes how to define why a patient has a specific manifestation of disease because longterm outcomes, if there is some underlying ARVC might be worse if the ARVC is not recognized and if cure is assumed based on treatment of the initial presenting rhythm.                                 Thus identifying novel ways of defining the presence of a disease even in the absence of obvious structural abnormalities carries benefit in terms of suggestions on longterm followup. Complimentary to the previously discussed article on the role of PKP2 mutations on mediating electrical instability in the heart, the study by [inaudible 00:48:01] et al. does in fact suggest that there might be methods of distinguishing arrhythmogenic cardiomyopathy from whether it be controls or truly idiopathic ventricular tachycardia using a very specific circulating biomarker.                                 On a completely different route, we'll finish our podcast today with a discussion of Bruner et al. published in European Heart Journal entitled Alcohol Consumption, Sinus Tachycardia and Cardiac Arrhythmias at the Munich Oktoberfest: Results from the Munich Beer-Related Electrocardiogram Workup Study or Munich Brew.                                 Bruner et al. studied over 3,000 voluntary participants with a combination of breath alcohol concentration measurements and electrocardiographic recordings via smartphone throughout the Munich Oktoberfest. In addition, they sought to evaluate chronic alcohol consumption effects on arrhythmias in a separate cord of over 4,000 patients from the Cora S4 study. In the study regarding acute alcohol effects, they demonstrated that in line with increasing BAC, there was a greater occurrence of arrhythmias in particular sinus tachycardia in almost a third of patients.                                 What was even further interesting was that respiratory sinus arrhythmia over the course of higher BAC is from baseline was reduced in the setting of alcohol use. Similarly, with chronic alcohol consumption there was an apparent significant association with the occurrence of sinus tachycardia. The reason these findings are important is in their suggestive element that the effects of alcohol intake in terms of whether it be acute or chronic arrhythmogenesis might somewhat lie in their effects on the basal autonomic states. As demonstrated by the reduction in overall sinus arrhythmia.                                 These findings serve to further elucidate mechanisms by which alcohol may mediate arrhythmias in a large real world patient sample. Thank you for joining us on this edition of On The Beat. Tune in next month again for more articles that might be of interest to the general electrophysiologic community all summarized in a single location.

Lauren Muser Cates is an educator and massage therapist based in the Washington, DC area. She is a graduate of the Potomac Massage Training Institute and Metta Institute’s End of Life Care Practitioner Program. Lauren is currently serving as the president of the Society for Oncology Massage and is co-founder of Healwell, a non-profit organization whose mission is to […]

Fri, 1 Jan 1993 12:00:00 +0100 https://epub.ub.uni-muenchen.de/9850/1/9850.pdf Huhn, D.; Roissaint, R.; Neuhaus, P.; Muser, M.; Bechstein, W. O.; Himmelreich, G.; Machleidt, W.; Jochum, Marianne; Riess, H. ddc:610, Med