Podcasts about upic

Hospice providers remain under heavy scrutiny, with prepayment audit and other audit activity on the rise. Unified Program Integrity Contractors (UPICs) historically conducted post-payment reviews. However, over the last six months, they have joined Medicare Administrative Contractors in reviewing claims on a prepayment basis. In this episode, Husch Blackwell's Bryan Nowicki and Zaina Niles discuss this new type of UPIC audit and what your hospice can expect if a UPIC picks you.

Today, we check in a year after the first Unsupervised Learning x Latent Space Crossover special to discuss everything that has changed (there is a lot) in the world of AI. This episode was recorded just after AIE Europe, but before the Cursor-xAI deal.Unsupervised Learning is a podcast that interviews the sharpest minds in AI about what's real today, what will be real in the future and what it means for businesses and the world - helping builders, researchers and founders deconstruct and understand the biggest breakthroughs.Thanks to Jacob and the UL production team for hosting and editing this!Jacob Effron* LinkedIn: https://www.linkedin.com/in/jacobeffron/* X: https://x.com/jacobeffronFull Episode on Their YouTubeWe discuss:* swyx's view from the center of the AI engineering zeitgeist: OpenClaw, harness engineering, context engineering, evals, observability, GPUs, multimodality, and why conference tracks now reveal what matters most in AI* Whether AI infrastructure has finally stabilized: why “skills” may be the minimal viable packaging format for agents, why infra companies have had to reinvent themselves every year, and why application companies have had an easier time surviving model volatility* The vertical vs. horizontal AI startup debate: why application companies can act as the outsourced AI team for enterprises, why some horizontal companies still matter, and why sandboxes may be the clearest reinvention of classic cloud infrastructure for the AI era* The “agent lab” playbook: starting with frontier models, specializing for your domain, then training your own models once you have enough data, workload, and user behavior to justify the cost and latency savings* Why domain-specific model training is real, not just marketing: how companies like Cursor and Cognition can get users to choose their in-house models, and why search, domain specialization, and distillation are becoming more important* Open models, custom chips, and alternative inference infrastructure: why swyx has turned more bullish on open source, why non-NVIDIA hardware is suddenly getting real attention, and why every 10x speedup can unlock new product experiences* What it means to sell to agents instead of humans: why agent experience may mostly just be good developer experience by another name, why APIs and docs matter more than ever, and how pretraining-data incumbents are compounding advantages in an agent-first world* Why memory and personalization may become the next big wedge: today's models mostly reward frequency of mentions, but in the future, swyx expects product choice to be shaped much more by personalized memory systems* The state of the AI coding wars: why coding has become one of the largest and fastest-growing categories in AI, how Anthropic, OpenAI, Cursor, and Cognition have all ridden the wave, and why the category may still have more room to run* Capability exploration vs. efficiency: why the industry is still in a token-maxing, experiment-heavy phase where people are rewarded for spending more rather than less* Claude Code vs. Codex and the strange stickiness of coding products: why first magical product experiences may matter more than expected, and why the bigger mystery may be why only a few names have emerged as real winners so far* What the end state of the coding market might look like: two major players, a longer tail of niche products, and possible disruption if Microsoft, Mistral, xAI, or the Chinese labs push harder into coding* Where application companies still have room against the labs: why frontier labs are trying to expand into verticals like finance and healthcare, but still leave space for focused companies that own the workflow and the last mile* Why coding may be a preview of every other AI market: the first category to truly go parabolic, the clearest example of foundation model companies colliding with application companies, and a template for how future vertical AI markets may develop* Why AI valuations now feel unbounded: from billion-dollar ARR products built in a year to trillion-dollar market caps, swyx and Jacob unpack how the AI market has broken traditional startup intuitions about scale and durability* Consumer AI vs. coding AI: why ChatGPT's consumer category may have plateaued on frequency and product design, while coding continues to feel like a daily-use category with real momentum* The next product frontier beyond coding: consumer agents, computer use, and “coding agents breaking containment,” with swyx's thesis that 2025 was the year of coding agents and 2026 may be the year they begin to do everything else* Whether foundation models are really killing startup categories: why swyx is less worried for early founders, more worried for mid-size startups and traditional SaaS, and why building something ambitious may now be the best job interview for a frontier lab* AI vs. SaaS and the internal culture war around adoption: the tension between AI-native employees who want to rip out expensive software and skeptics who think quick AI-built replacements create fragile systems* Why traditional SaaS may be under real pressure: swyx's own experience spending six figures on event and sponsor management software, the temptation to rebuild it cheaply with AI, and the broader question of whether teams will trust custom AI-native replacements* Biosafety, security, and frontier model access: why swyx raised biosafety at a dinner with Anthropic's Mike Krieger, why Krieger argued security is the bigger issue, and what restricted model releases reveal about Anthropic vs. OpenAI* The era of giant models: why 10T+ parameter systems may only be a temporary rationing phase before bigger clusters arrive, why labs may increasingly keep their most powerful models private for distillation, and why scale alone no longer feels like a complete answer* Memory as the slowest scaling factor in AI: why context windows have improved far more slowly than people hoped, why million-token context still has not changed most real workflows, and why memory may be the key bottleneck for the next generation of systems* What swyx changed his mind on in the past year: becoming more bullish on open models, more convinced that the top tier of agent startups behaves very differently from the median AI company, and more optimistic about fine-tuning and specialized model adaptation* “Dark factories” and zero-human-review coding: the next frontier after zero human-written code, where models not only write the code but ship it without human review, forcing companies to rethink testing and verification from first principles* Why RL and post-training may matter more than people assumed: even if the resulting models get thrown out every few months, the data, workflows, and domain-specific improvements persist* Synthetic rubrics, Doctor GRPO, and multi-turn RL: why reinforcement learning is becoming much more domain-specific and multi-step than many people realize, opening the door to much deeper customization* The next frontier after coding: memory, personalization, and world models, including why swyx thinks world models matter not just for robotics or gaming, but for giving AI something closer to lived understanding* Fei-Fei Li, spatial intelligence, and the Good Will Hunting analogy: the idea that today's LLMs may know everything by reading it all, but still lack the lived experience that turns knowledge into a deeper kind of intelligenceTimestamps* 00:00:00 Intro preview: AI coding wars, startup pressure, and market structure* 00:00:28 Welcome to the Latent Space × Unsupervised Learning crossover* 00:01:17 What AI builders are focused on now: OpenClaw, harnesses, and infra* 00:04:33 Why AI infra is harder than apps, and where startups can still win* 00:06:39 Should companies train their own models?* 00:09:28 Open models, custom chips, and the new inference race* 00:11:25 Designing products for agents, not just humans* 00:16:49 The state of the AI coding wars in 2026* 00:19:27 Capability exploration, token-maxing, and why coding is going parabolic* 00:21:41 What the end state of the coding market could look like* 00:23:50 Where app companies still have room against the labs* 00:27:02 Why AI valuations and market swings feel unprecedented* 00:28:56 Consumer AI vs. coding AI, and why sticky products still matter* 00:32:28 What the next breakthrough product experience might be* 00:32:53 2026 thesis: coding agents break containment and eat the world* 00:35:27 Are foundation models wiping out startup categories?* 00:37:33 AI vs. SaaS, vibe coding, and internal team tensions* 00:40:01 Biosafety, security, and the politics of restricted model releases* 00:42:19 Giant models, compute constraints, and the limits of scale* 00:44:30 Memory as the real bottleneck in AI* 00:44:57 Why swyx changed his mind on open models* 00:47:44 Dark factories and the future of zero-human-review coding* 00:49:36 Why post-training and RL may matter more than people think* 00:51:50 Memory, world models, and the next frontier of intelligence* 00:53:54 The Good Will Hunting analogy for LLMs* 00:54:21 OutroTranscript[00:00:00] swyx: Isn't that crazy? That number is just mind boggling.[00:00:03] Jacob Effron: What is the state of the AI coding wars today?[00:00:05] swyx: We're in a phase of sort of like capability exploration. The general thesis that I have been pursuing now is that the same way that 2025 was a year coding agents 2026 is coding agents breaking containments to do everything else.[00:00:16] Jacob Effron: Do you worry about the foundation models just getting into a bunch of these startup categories?[00:00:21] swyx: Mid-size startups. Yes.[00:00:23] Jacob Effron: What do you think the end state of this market is[00:00:25] swyx: for the market structure to, to significantly change? There would be[00:00:28] Jacob Effron: today on unsupervised learning. We had a, a fun episode and what's really become an annual tradition, a crossover episode with our friends at Latent space.Swix and I sat down and we talked about everything happening in the AI ecosystem today. What we thought of the various changes at the model layer, what's happening in the infra world, the coding wars, and a bunch of other things. It's a ton of fun to do this with someone I really respect and another great podcaster in the game.Without further ado, here's our episode. Well switch. This is, uh, super fun to be back with another unsupervised learning, uh, latent space crossover episode.[00:01:02] swyx: Yeah,[00:01:02] Jacob Effron: I feel like a lot of places we could start, but you know, one thing I always find fascinating, uh, about the way you spend your time is you obviously are like at the epicenter of this engineering movement and community, and you run these events and conferences and put on these.Awesome talks and, and I think just have a great pulse on the zeitgeist of what's going on.[00:01:16] swyx: Yeah.[00:01:17] Jacob Effron: Maybe to, to start just what are the biggest topics people are thinking about right now?[00:01:21] swyx: Yeah, so I just came back from London, uh, where we did a IE Europe and we're doing roughly one per quarter now, which Yeah, you've[00:01:27] Jacob Effron: really up[00:01:27] swyx: the, hopefully[00:01:28] Jacob Effron: up the, up the pace.[00:01:29] swyx: It's trying. We're trying to match AI speed, youknow?[00:01:30] Jacob Effron: Yeah, exactly. The tops would be completely different, I imagine. Uh,[00:01:33] swyx: yeah. You know, I definitely curate the tracks, like you can see what I think. When you see the track list and the, the speakers that I invite, obviously Open Claw is like the story of the last four or five months, and then be, be just below that.I would consider harness engineering, context engineering to be two related topics in agents and rag. And then there's a long tail of Evergreen stuff like evals, observability, GPUs, uh, and uh, LM infra and just general, just in general. We also have other updates on like multimodality and, uh, generative media, let's call it.Um, but I definitely, the, the first three that I mentioned are top of mind people. Yeah.[00:02:13] Jacob Effron: I think harness is particular like, so interesting. Um, you know, there was this tweet from Harrison Chase, the, the lane chain, CEO, that, that caught my eye recently where he said, you know, it finally feels like we have stability, uh, around the infrastructure for, uh, you know, around ai.And I think what. He basically was implying his like, look over the past two, three years as a company at the epicenter of AI infrastructure, it was a bit like playing whack-a-mole, right? You were constantly moving around with, however, the building patterns were evolving[00:02:36] swyx: for Harrison for sure. Right? Like he's basically had to reinvent the company every year since he started Lang Chain.Right? It was Lang chain, Ang graph and LP agents and like, uh, I think he's like one of the most nimble, adept sharp people about this. Yeah. Yeah.[00:02:49] Jacob Effron: Saying now, now is finally the time stability[00:02:51] swyx: this. Yeah.[00:02:52] Jacob Effron: Yeah. Um, do you buy that or what have you kind of make of that take?[00:02:56] swyx: I think that. It, it's very expensive to say this Time is different sometimes, but when you're just writing code, like it's actually okay to just like try to make a call and I think it may not even matter if this call is right or not.Like I just don't even care that much because you can be right on a thesis, but if you don't, you don't figure out how to monetize the thesis, then who cares if you said something first that said, um, it does feel like, for example. Uh, we went through a lot of different ways of passion packaging integrations up with, uh, with agents.And it feels like we've landed at skills, which is like the minimal viable format. Yeah. Which is just a markdown file, uh, with some scripts attached to it, and I don't see how it can be more simple than that. And so there is some justification for. The stability around harnesses. I feel like there may be more adaptation with regards to maybe like the real time elements or subagents or memory or any of those like agent disciplines, let's call it in, in agent engineering.Uh, but if, if the thesis is that, okay, you just want agents are LMS with tools in the loop with a file system, what they can do. Retrieval with, with skills and all these like standard tooling that now seems to be relatively consensus then probably. That makes sense. Um, I just think like there's no point trying to stake your reputation on this thesis that we're there because if it changes again, just change with it.It's fine.[00:04:33] Jacob Effron: Yeah. It's always, you know, I've always been struck by how that is. Much more challenging for infrastructure companies and application companies. Like obviously I think, yeah. You know, on the application side you've seen, you know, Brett Taylor from Sierra Max, from Lara. Like, they're like, look, we build, you know, what's ahead of the models and we're willing to throw everything out every three months, you know, as the models get better and better.Exactly. Yeah. But the thing you at least have there is you have. Uh, you have an end customer, right? That's like decently sticky. Um, you know, they will mostly stick, you know, they'll, they'll give you a shot at least of, of building these things. What I've always found more challenging, uh, at, at the kind of like, you know, reinvent yourself every three months of the infrastructure layer, it's like, you know, developers are definitely a, a pickier audience maybe than an accounting firm or, uh, you know, a bank.Yeah. And so it's definitely a, a, a more challenging position to be in to, to have to constantly reinvent yourself.[00:05:17] swyx: Yeah. Yeah. Yeah. And, and like when they turn, it's like. Very complete. Like, they'll leave to like the, the hot new thing, uh, because there's like no defensibility, I guess. Like e even, even if you are a database, like, uh, people can migrate workloads off databases.Like it's, it's a, it's a known thing. Uh, so I think like basically what we're talking about is the vertical versus horizontal, uh, debate in, in AI startups. And uh, the way I think about it also is just that like when you are. Um, Lara, when you are a bridge, like you are the outsource AI team, right? You, you are, your job is to apply whatever state ofthe art AI methods.[00:05:55] Jacob Effron: Yeah. Like this translation layer between model capabilities and your[00:05:57] swyx: own customers. Yeah. To, to the end customers and like, well, if they didn't have you, they would've to hire in house and they're not gonna hire in house so they have you. And like, I think that's like a reasonable, like very robust to any whatever trends and, and discoveries that people make in, in the engineering layer.I do think like there is, um. It like sort of useful horizontal companies being built, but they're all. Very much like, sort of like the reinventions of classic cloud in the AI era and the, the primary one being sandboxes. Yeah. Um, which like, it's another form of compute guys, like, let's not get too excited about it.But I mean, like the, the workloads are enormous.[00:06:38] Jacob Effron: Right.[00:06:38] swyx: Yeah.[00:06:39] Jacob Effron: It's interesting, and I feel like as, as part of this, you know, the questions that folks are asking around infrastructure, there's a lot around, you know, the extent to which companies should have their own AI teams and what they should be doing in-house.And, you know, uh, I think there's questions around should people be training their own models? Should people be doing, you know, rl, uh, in-house based on the data they have? I feel like, you know, one has to evolve their takes on this every, every three months with paces. But where, where are you at on this today?[00:07:00] swyx: I think, well, I mean actually all models have gone up. Um, and obviously I'm involved in cognition and also cursors doing, doing, uh, a lot of own model training. And I think that that is some part of the, what I've been calling the agent lab playbook, where you start off with the state of the art models from, uh, from the big labs and you, uh, specialize for your domain.But once you have enough workload and enough high quality data from your users, then you can obviously train your own models and like save a lot on cost and latency and all that, all that good stuff. Um, you also get like a marketing bonus of like calling it some fancy name and putting out some research[00:07:38] Jacob Effron: from my seat.I can't tell how much of it is like actual, you know, value that's provided to the end user. And how much of it is that marketing bonus? Right. It seems some combination of the[00:07:45] swyx: I think it's both.[00:07:46] Jacob Effron: Yeah.[00:07:46] swyx: Um, no, no. There, there actually is real value. Um, and you, you know that for a number of reasons. Like one, even when it's not subsidized, people do choose it as like one of the top four or five.This is both composer two and, uh, suite 1.6 I one of the top five models. Like in a, in a fair market? In a free market, yeah. In a, in a, in a model switch. Or people do choose it and like, it's not subsidized. Like, so that's as good as it gets. Uh, but beyond that, like domain specific models, for example. For search with, with both, which both companies have absolutely makes, makes a ton of sense.Everyone says like, yeah, we should always, always do this. And honestly like, I think the infrastructure for that is becoming easier with, um, like thinking machines tinker thing as well as primary like, uh, lab stuff. Yeah, I mean like, this is one of those like reversal of the, the bitter lesson where you first bootstrap on the large models and the general purpose models to get big.And as you get very well-defined workloads that are just high quantity but not high variance, um, then you just distill down to a smaller model and run that on your own. Right. Which like totally makes sense.[00:08:50] Jacob Effron: What I'm less clear on is the kind of DIY RL use case, which I think is really mostly around, you know, improved, uh, quality for, for different things.Obviously there's probably like more efficient ways to, you know, get a smaller model that's that's faster and cheaper. And it'll be interesting to see whether. You know, obviously you had, you know, uh, two, three years ago this whole case of companies that were, you know, pre-training and claiming better outcomes in, in their domains than getting kind of cooked as each model iteration improved.You know, I wonder whether that's a, a similar story plays out in the, uh, in, in the, our all space. Yeah, for the focus on, on on pure outcomes and quality, not the cost side, which clearly your own models for cost at scale makes a ton of sense.[00:09:28] swyx: I think there are this, there are two sides of the same coin.Like you basically always want to hold, uh, quality constant or trade off a little bit of quality for a drastic decreasing cost. And that's true for everyone. Uh, one element I wanted to bring out, which is very much in favor of open models, is custom chips. So this would be cereus, but also talu. And then there's a huge range of stuff in between.This has been a huge story this past year on just like everything non Nvidia is getting bid up, including like freaking MatX is working for, which is very, which is very rewarding for me, but I think one of those things where like, oh, like the suddenly, because the number of alternative. Hard, uh, hardware is increasing and the inference that you can get is insanely high.Like, um, we're talking thousands of tokens per second instead of less than a hundred. So the trade off for qua quality doesn't hold as much anymore because the speed is so high.[00:10:24] Jacob Effron: Have you seen a lot of companies go all in on the alternative chip?[00:10:26] swyx: So cognition has Yeah. On Cerebras, uh, and, and so has OpenAIUm, uh, and so no, I don't think so beyond that, uh, and that, do you think that's like a, that's mostly, that's foreshadowing of, that's, yeah. I used to be kind of a skeptic in terms of like, okay, so what if I get my inference at a hundred to a hundred tokens per second sped up to 200 tokens per second. It's only two X faster.It's not that big a deal. Um, but when you, uh, I think every 10 x does unlock a different usage pattern. Um, and you, we have proof in Talas and, and some of the others. That you can actually, um, drastically imp improve inference speed and what happens from there? I don't even really know, like it's, it's so hard to predict when entire applications just appear at once.Yeah. Uh, and it also isn't that expensive, right? So like, um, this is one of those things where like, I, I think the, the investment cycle is gonna be multi-year. Um, and I. Would caution people to not dismiss it too, too quickly.[00:11:25] Jacob Effron: Yeah. I mean, one other like infra question I was curious to get your thoughts on is obviously it seems increasingly a lot of the cutting edge infra companies are building for agents as the buyers of their product or users of their product, right?[00:11:35] swyx: Ooh,[00:11:36] Jacob Effron: and[00:11:37] swyx: another huge theme. Yeah. Yeah.[00:11:38] Jacob Effron: And I'm trying to figure out like what. What, what do you have to do differently about selling into agents? Um, are they just the ultimate rational developers? Uh, or is there, you know,[00:11:46] swyx: no, absolutely not. Um, I think they are easily prompt, injected and, uh, very tuned towards like, basically com compounding existing winners.[00:11:57] Jacob Effron: Yeah,[00:11:57] swyx: so like if, like, congrats if you won the lottery for getting into the training data right before 2023, because now you're like installed in there for the foreseeable future. But yeah. Uh, you know, one stat that Versal, uh, CTO Malta dropped at my conference was that there are now, uh, 60% of traffic to Elle's, um, like app arch, like admin app architecture for like configuring versal applications, uh, is bought.It's not, it's not human. Uh, so like your primary customer is agents now. Um, and it's mostly co like mostly coding agents, mostly people using CLI on CP or whatever. But yeah, I mean, I think. More. I, I think step one, if it doesn't exist as an API that agents can use, it doesn't exist. Right, right. Which I think is like, uh, it's a good hygiene thing anyway, to, to make everything API available, but not as like an extra, um.Push on like products, people to not only work on the ui, um, you should probably work on the on SCLI stuff. Beyond that, I think honestly there is like, so I, I come from the sensibility of, I think everything that you are trying to do for agents experience now, which is the term that Matt Bowman and Nullify is trying to coin, is the same thing that you should have been doing for developer experience.That you should have had good docs, you should have had a consistent API, uh, that is. Mostly stateless. Um, you should have, I guess, discoverable or progressive disclosure or like search or like whatever. And so now that people have energy in like finding these customers to do that, that's great. Um, do I believe in.Extending beyond that into something like a EO, um, for gaming The chatbots? Not necessarily, but obviously there's gonna be huge advantages when people who figure out the short term wins. Yeah. And short term wins can compound.[00:13:43] Jacob Effron: Do you think these compounding advantages to like the, the pre-training data cutoff companies, like, you know, obviously over some period of time, I imagine that doesn't persist.And so as you think about like. I dunno, three, four years from now what the, you know, selection criteria end up being. Do you think it still mirrors exactly what you were saying before? Like it's exactly what you should have been doing all along to sell a good product to developers?[00:14:01] swyx: It could be, except that I think in three, four years we'll probably have much better memory and personalization.So then general a EO or GEO doesn't really matter as much. So I think whatever memory or personalization system we end up with will probably d determine what you end up choosing much more. Than, than what is currently the case, which is just frequency of mentions, let's call it. Yeah,[00:14:26] Jacob Effron: yeah.[00:14:26] swyx: Uh, so you just spa quantity and I think that's, I mean, that's something I'm looking forward to.I do think, like, like, you know, I, I think that the fundamental exercise to work through for yourself is if you start a new, um, sort of. Uh, disruptor company. Now there's a, there's a big incumbent that everyone knows, like, like superb base. Super base is like, kind of like the Postgres, like database, uh, incumbent.If you wanna start like new superb base, how would you compete with them? And I don't necessarily have the answer, but I, I, I do think like people, like resend like relatively new. I think they would start like 20, 23 and still there was, there was a recent survey where like, people. Checked what Claude recommends by default.If you just don't prompt it with anything, just say, gimme an email provider and says, resent as in like 70, 70% of each cases. Like the fact that you can get in there with like such a relatively short existence, I think is, is encouraging.[00:15:14] Jacob Effron: Yeah.[00:15:14] swyx: I do think like. Um, you do want to do whatever it is to, to like to, to get in that Very short mentions this because, um, it's not gonna be 20 of them, it's gonna be like three.[00:15:26] Jacob Effron: No, definitely. It feels like, uh, you know, probably more, more consolidation than ever. Uh, or, or kind of like, you know, uh, a winner take most market than maybe the, the, the physics of go-to market in the past. Yeah. Might have, uh, enabled.[00:15:38] swyx: The other thing also is like, semantic association is gonna be very important, uh, in the sense that like, you want to do like the combo articles where you're like, use my thing with for sale, with blah, blah.And like that all gets picked up in a, in a corpus. And so that's. Probably one thing that you, you wanna do? Well, I don't know what else. Uh, it's, it's, it's, it's one of those things where like, I think I feel, I feel I'm behind, uh, I don't know how you feel about this, but like,[00:16:04] Jacob Effron: I think AI is just everyone constantly feeling like they're behind some, uh,[00:16:08] swyx: yeah.With,[00:16:09] Jacob Effron: I wanna meet the person that doesn't feel behind,[00:16:11] swyx: but like with, with ax, right? Like, so, so like, my, my stance was that exactly what I said before, like everything that you, that you should do for agents is something that you should have done for humans anyway. Yeah. And so. To the extent that you're just getting it more energy to, to do things for agents, great.But like, uh, it's hard to articulate what new thing apart from just like more spam, um, that you should be doing. Anyway, that would be my take right now. Um, I I, I do think like there, there will be more turns at this. I think the personalization turn that is coming, um, will be big. And I don't know what that looks like because like basically we're kind of, we feel kind of tapped out on the memory side of things.[00:16:49] Jacob Effron: Yeah. I, I guess since we last chatted, you know, you, you took this role over at cognition, um, and you've obviously have a, have a front row seat to the AI coding space today. You know, I feel like coding in many ways. You know, people view it as this, like, I mean, besides being like the, the mother of all markets and this massive opportunity, I think it's kinda a preview of like, what's to come for many other spaces.Both. Yeah. You know, I feel like agents are most advanced in coding. I also feel like the, you know, competition between foundation models and application companies, you know, and, uh, mirrors what we may see in other spaces. And so maybe for our listeners, can you just lay out like what is the state of the AI coding wars today?[00:17:25] swyx: Um, it is massive, right? Like, uh, and I don't think necessarily, last time we talked about this, we appreciated the size of what[00:17:32] Jacob Effron: No, I wish we did.[00:17:33] swyx: I state of AI coding wars today, um, both opening eye philanthropic have made it their p serials to competing coding. Um, and. Tropic is like 2.5 billion in a RR just from Cloud Code.The way they recognize a RR is. Opt for debate, uh, open ai. I don't think the, a public number is known, but let's call it 2 billion as well. And then cursor is like, rumored to be 2 billion, you know? And, and those, those are like the public numbers that are known? Yeah. Um, so like huge markets that have just been created in the past one year.Like, like anthropic, just like Claude Code just recently celebrated their one year anniversary, which is, yeah, pretty nice. Um, so, and then I think, like the other thing that I see is there's, there's some other people who are like, oh, here's like the, the sort of relative penetration of, uh, Claude use cases, right?Like, and it's like coding 50% and then legal, whatever. Health, uh, it's like the, the remaining ones. And there was a very popular tweet that was like, okay, I'll look at the, the empty space and all these other use cases. If you are a new founder today, you should be betting on the other stuff because on, on a sort of catch up Yeah.Theory and my. Consider my, my pushback is the same pushback that, uh, I had on app over Google, which is like, well, well why is this time different? Like, why, if it went from let's say 10 to 50% in the past year, why can't I keep going? Uh, and like getting that wrong is actually a very painful one because you could have just did, did the momentum bet.Instead of the mean reversion bed. So I, I, I think that that is the, the state of things now that people are very, very much into psychosis. Um, they're are getting rewarded for spending more rather than spending less. And I think we're not in that phase of efficiency. We're in a phase of sort of like capability exploration.So I think people who are more crazy, who are more. Uh, creative, um, get rewarded comparatively. Yeah.[00:19:27] Jacob Effron: Well, it's interesting. I mean, it feels like behind these like token maxing, leaderboards and whatnot is this, it's like the first phase of this transition from a workforce perspective is you just gotta show your employer like, Hey, I, I use these tools.[00:19:37] swyx: Here's my nu number of tokens I cost, and that's it. They don't care about the quality. Right. It is, uh, maybe distasteful to someone who cares about the craft and, and all that. Um, but directionally everyone just wants you to go up regardless. And so, um, there it is not very discerning. It's, and it's probably very sloppy, but I think it's net fine because we're still probably underusing ai just in generally.Yeah. Um, and so I think that's like very interesting. Like we had on the podcast, uh, Ryan La Poplar from OBI, who spends a billion tokens a day. Yeah. Um, and that's for those county home, it's like something like 10,000 worth, $10,000 worth a day of API tokens. If they, they did market rates, um, and like most of us can't afford that.Yeah. But like. And, and, and probably a lot of what he does is slop.[00:20:25] Jacob Effron: Right.[00:20:25] swyx: But like, he's going to dis, he's like, if there were a new capability, he would discover it first before you because he was, he was trying and you were not trying. Right. And like, you only do things that work like, well, good for you.But like the, the people who are going to discover the next hot thing are living at the edge.[00:20:42] Jacob Effron: Right and increase in living at the edge of just having the compute budget to like run these experiments. I mean, kind of similar to what living at the edge on the research side has always been. You know, it was constrained in many ways by the amount of compute you had to run these experiments.It feels similarly on the, almost on the builder or like actualizing these tools now.[00:20:56] swyx: Yeah. The other thing that's, I mean, very obvious is philanthropic is kind of like the high price premium player. Um, that where, you know. Restricting limits or restricting model releases even is like the name of the game.Whereas Codex is like, come on in guys, use our SDK, use our login and we don't care. We're gonna reset limits. Whatever you do want to try to exploit the subsidies where you can get it. And definitely Codex is super subsidized right now. Gemini also very subsidized. Um, and. Comparatively, like, I think you should make, Hey, I guess while, while that's going on, it's not that bad to be a capabilities explorer on just the $200 a month plan from Cloud Code or from OpenAI.Um, and, uh, I I, I, my sense is that people aren't even there yet.[00:21:41] Jacob Effron: How do you think this, like, market ultimately plays? I mean, it's obviously such a big market that, you know, any slice of that market is interesting for, for anyone going after it. But I think what, what makes people so interesting in the coding market particularly is it feels like it's kind of this.Foreshadowing of what will happen in other, you know, any other kind of application market that the foundation models eventually turn to and are all their models against and gather data around. And so how do you think, you know, like does there end up being room for lots of different kinds of players or like, what do you think the end state of this market is and is that, do you think that's applicable to other markets?[00:22:10] swyx: I feel like there will be, I mean. Status quo is probably the most likely outcome, which is there are two big players and there's a small range of longer tail people that, um, fit other use cases that the, the two big players don't. That feels right to me. I think that, um, for it to, for the market structure to, to significantly change there would be, there needs to be significant change in like the economics or like the, the brand building or like the, the, the, the value propositions of the, of the companies involved and I.Haven't seen any in the last six months that, that have really changed the stories materially. So I feel like they would just keep going until something, something else happens. Something else happens, meaning like Microsoft wakes up and like goes like. Guys, we have GitHub, we have, uh, you know, we, we, we'll, we'll do something much bigger here than other, other than just copilot.Um, and, uh, that would be a big change. Um, MSL has put out a model now, and I was in a breakfast with, uh, Alex Wang, where they were like, yeah, like, we, we really, really want to go after the coding use case. We haven't done anything yet, but like, don't underestimate them. Right. Um, and, and similarly for the Chinese labs.Um, I think they're trying to go after it. Like ZAI is doing stuff. GLM uh, ZI and GLM is same thing. Um, uh, and, and so it's, so like everyone's trying to get a piece of that pie. I, I feel like the, the status quo has been pretty stable for the past, like almost a year I'll say.[00:23:39] Jacob Effron: Yeah. And is the room for the, not like, you know, for, for the application companies more on like the enterprise side or like where do the, where do the, like what surface area do the model companies leave for application companies?[00:23:50] swyx: Yeah, that's a good one. Um. It's very much evolving. Um, it, I, I, I will say because opening I did not have this, the, this level of attention on coding. Yeah. Uh, a year ago. We just don't have that much history. Right. Um, and it seems like, for example, so the big push at Open I now is the Super app. Um, is that a consumer thing?Is that like a products like. Portfolio rationalization thing, how much is that gonna take away attention from coding at the time when they actually do want to put more coding? I think it's, it's very unclear. So I do think like there's, there's all these, like in both big labs, there's. Uh, sorry. Both of the, and, and drop and, and deep minus and XAI are are separate cases.Um, they are trying to see the other time expansion areas. So cloud code for finance. Yeah. Um, uh, cloud cowork, all those, all those things. Whereas I think cursor and cognition are like comparatively just focused on coding and so I, I do think they leave space and I do think for the other verticals that also means the same thing.Right. That, uh, that they're not gonna be that. Um, intensely focused on, on, on that domain. Except for, I, I think I would mark out finance and healthcare as like the next ones, um, that they're clearly going after. Uh, I, I would say comparatively, healthcare seems more thorny. There, there, there've been some announcements about it, but like, I would respect the, the finance work a lot more just because like the, the path to money is a lot clearer.[00:25:12] Jacob Effron: Yeah, no, I mean, obviously like, I, I think, you know, maybe similar to, to the space that's being left in these other domains, you know, there's obviously. Uh, a lot that's required to actually implement these tools in enterprises, uh, versus, you know, maybe just giving them, uh, giving model access to, to folks outta the box.[00:25:27] swyx: Yeah, yeah. Yeah. So the, the agent lab thing is like, we'll do the last mile for you. Whereas I think the model labs tend to just trust the model and, and be minimalist about it. Both of them work.[00:25:38] Jacob Effron: Yeah.[00:25:38] swyx: I, I don't, I don't necessarily think one, uh, beats the other, uh, for every, for every use case. Um, all I, all I do know is that it does seem like.Uh, the large enterprises do want a dedicated partner that isn't just the model labs, which is kind of interesting.[00:25:55] Jacob Effron: We, we've been in this phase of, of pure capability exploration. And so I think nothing has been, you know, better for the large labs, right? I mean, they're always gonna be, uh, uh, the frontier of, of capability exploration.And so I think have a very good relationship with a lot of these enterprises. But ultimately over time, like. The, uh, the incentive structure of these labs is always gonna be maximal, you know, token consumption for, uh, for the end customers they work with. And there's just, I think, so few companies that have actually gotten to massive scale.Maybe coding again is the most interesting. So it's the first space that really is just completely gone, you know? Yeah. You must love it every day. Like absolutely insane. And. I think it[00:26:32] swyx: gets even. Okay. I mean, like, I think we, we say good things about crystal cognition, but the sheer liftoff of like both end UPIC and open ai.‘cause they, they, they have independent valuations. I mean, let's throw an XEI in there because it's now I ping at 1.2 trillion. That number is just mind boggling. Like I, I feel like in normal investing or normal startups, there's kind of like a ceiling market cap or valuation. Totally. That, that like you, you reach and you go like, all right, let's, it's gonna be chiller from now on.And these guys are not slow down. No.[00:27:02] Jacob Effron: Well, I also think the dynamic is fascinating about some of these later stage companies is, is, you know, in the past, I feel like in, in venture world, if you got to a certain level of scale, the question around you was really more a valuation question. And this is like why there was different phase, like, you know, types of venture people did and like the late stage growth people were just incredible at like, you know, a little bit of what's the ultimate market opportunity of this company, but also what's the right way to, to value it.Like we know it's, it's in some bands of an outcome that is like. Sure there's some variance to it, but it's like relatively understood what that bands is and then maybe you get over time surprised to the upside. Whereas any kind of like later, even the labs themselves, any later stage company, the bands of which that company might be worth right now, even in a year or two years are so massive because of how fast the ecosystem changes that it's like.Even for later stage companies, every three months could be an existential level event to the upside to the downside. Yeah. Um, and I think that, like, you are obviously seeing it in the, in the positive with code, which, you know, if you think about a company like philanthropic, you know, that. For a while, it was like unclear if they were going to have access to enough capital, um, to really stay in the, in the race, right?And then coding hit at the exact right time. They had the perfect model for it. They executed brilliantly. Um, and you know, now are, are, you know, uh, you know, one of the most valuable companies in the world.[00:28:13] swyx: Uh, at the same time, I, I don't find, I, I have zero sympathy for opening eye because they're crushing it and they're all rich.You know, this is like a high class champagne problem to have to, uh, to be number two at coding or whatever. Like, who cares? Like, you're, you're doing great.[00:28:27] Jacob Effron: Yeah. It's funny though. I can't even, I mean, you would be closer to this, uh, you know, even that you're in the AI coding space, but it's like a lot of people I talk to think Codex is just as good, if not better than Claude Code.Right. I think one thing that I've been really surprised by, and maybe, maybe Cloud Code is a better product in some ways, I'm curious your thoughts is just in consumer AI with chat GBT. You saw this big first mover advantage, right? Where admittedly today, like, I don't know, Claude Gemini. Great products.Not sure, not abundantly clear chat GBTs any better, but like. People stick with chat, GBT, it's the first thing to introduce them.[00:28:56] swyx: They stay, but they're not growing anymore. I don't know if you've seen[00:28:59] Jacob Effron: Right. But that to me is more of like a, a, a product problem than it is. They're not like, it's not like they've like lost share to someone else.My understanding is the overall problem with consumer AI today is much more of a how do you take this tool and, you know, for, for folks like us, like knowledge workers, it's like this incredible magic tool, but it's not necessarily a daily active use tool for a lot of people around the world today. And what are the like products?It's, it's kind of a category wide problem. Like in coding, for example, like. The entire space has gone parabolic. There may be some relative growth in, uh, in other consumer AI players, but it's not like consumer AI as a category is like going parabolic and they're not capturing most of that thing. I think it's actually the larger problem is much more, hey, the category has kind of hit a bit of a plateau of people haven't figured out how to bring, you know, tons more users on board.Yeah, yeah. Or increase the frequency of those users. And so it seems more of a category wide problem than it is, you know, a massive market share of change. I was gonna draw the comparison to, to the coding space where Claude Co is the first product, obviously, to introduce people to this magical experience.You know, by all accounts, codex is, is pretty damn close to as good, if not better. Um, but like still that first product, you, you would've thought that would not be a super sticky, uh, you know, product surface area. And it actually has, it turns out, I, it feels like the first lab to introduce you and experience really does, uh, keep a lot of, uh, a lot of the focus.[00:30:12] swyx: I, I think. M maybe it's like still, still early days. You know, Chad, BT is like three plus years old and Yeah. Cloud code is only one. Just turned a year. Yeah. So give it time, you know? Yeah. Like, yeah. I mean, definitely sometimes a lot of people have switched from to Codex. Maybe that will keep going. I, it's like really hard to tell.Uh, yeah. I, I, I do, I do think that. Because we are in this like, high volatility, high temperature phase. Um, the loyalty and stickiness to first movers and category creators, I don't think is as high as it might be in some other, uh, areas in our careers that we've looked at.[00:30:47] Jacob Effron: Yeah. Though, I mean, I've been surprised by the cloud code thing.I, I would've thought that, like, in many ways I always worried about the[00:30:52] swyx: enterprise. You think you would've been gone by now?[00:30:53] Jacob Effron: Not gone. But I would've, I I always worried that the, that the consumer business of these companies would be quite sticky. And then the enterprise API business. Uh, was actually like, you know, in some ways like your least loyal buyers, like they would, they would move to,[00:31:05] swyx: right, right.But, but they worked out that it wasn't the enterprise API it was enterprise product.[00:31:09] Jacob Effron: Totally. And maybe that was the, that was the secret that like, but the amount of lock-in or just default behavior that has happened in that space, uh, is, is more than I might've imagined with two products that by all accounts are pretty damn similar.Yeah.[00:31:22] swyx: No fight there. Uh, I will say I do think that Codex is still in like a catch up. Like in terms of personal experience. Um, the only thing I like out of, out of Codex is the, is like Spark and like yeah. Uh, the, I, I feel like the skills integration is a little bit better. I feel like, uh, the, the speed is a bit better.Maybe ‘cause it's in, is written in rust or whatever. Um, very minor things that you like. Almost like telling yourself rather than like objectively assessing between two, two of them. I, I, I do think, like vibes wise, I think that's going on. Um, the, the, you know, I, I feel like the, the missing questions, uh, in, in this whole debate is like, why is this so concentrated in only two names, right?Yeah. Like, um, how, where, like, where is the Gemini? You know, presence, where's the Xai presence? Um, and like they are trying, it's just they haven't made that much progress yet.[00:32:12] Jacob Effron: But what the, what the Claude Co moment does show, and it actually in some ways makes you a little more bullish on the potential for someone else to catch up because it does feel like if you're the first person to introduce some magical net new product experience, that that actually might be stickier than one might have imagined.[00:32:27] swyx: Right, right, right. Okay. Yeah.[00:32:28] Jacob Effron: And so it's, everyone can believe they have shot[00:32:29] swyx: that. What do you think that new product experience might be like? I, I, it's, it's like, and this is a failure of imagination on my part. Like, I always wonder, like, people always say this like, well, the, the thing that will save us is like being first to the next new thing.Like what is it?[00:32:41] Jacob Effron: Yeah.[00:32:42] swyx: It's like,[00:32:45] Jacob Effron: I dunno, something around like, uh, consumer agent, computer use, like hybrid. I think, obviously, I think we're like scratching the surface on the consumer side.[00:32:53] swyx: So my, my current theory is like the. Open claw is like a vision of things to come.[00:32:58] Jacob Effron: Totally.[00:32:58] swyx: Um, and uh, it's good that O open I has like the association with open claw, but by no means do they have the rights to win it.The general thesis that I have been pursuing now is that the year the same way that 2025 was the year of coding agents, 2026 is coding agents breaking containment to do everything else. Um, and so coding agents continue to still win, but because they generate software and software eats the world, so like, it's kind of like the trans.Associated property of like software, eat the world, coding agents, eat software, therefore coding agents eat the world. Um, which is like an interesting,[00:33:30] Jacob Effron: yeah, and breaking containment always an easier phase phrase in the consumer context than the enterprise one. You've seen people run these really cool, uh, experiments in their own personal lives.I think like,[00:33:37] swyx: yes.[00:33:38] Jacob Effron: Figuring out, you know, how you, obviously everyone's focused, you know, on the enterprise side now around how you create these experiences. I feel like the vibes, you know, people love to have these narratives of like, everything is completely shifted. It's like I actually, you know, open AI.Organizationally, uh, you know, volatility aside is, you know, great products, great team, great models like everyone else in the world is incentivized for there to be. Two, three more. Everyone would love more like great model companies. And so I feel like the, the natural forces of the world revolt when any one company, you know, is too much the star of the show, right?There's so many people in the ecosystem that are incentivized for that not to happen. And so I think I'd be shocked if we don't have. Uh, uh, reversion of vibes, not maybe completely the other way, but at least a little bit more equal at some point over the next six, 12 months.[00:34:24] swyx: I, I think there's just a kind of different stages when, when you talk about the world, one wanting more model companies, I talked think about like the neo labs.[00:34:30] Jacob Effron: Yeah.[00:34:31] swyx: And I mean, I don't know, is it fair to say none of them have really broken through in the past year?[00:34:35] Jacob Effron: I think that's totally fair,[00:34:37] swyx: which is rough. Um, and well, how are we gonna, how are we gonna grow that diversity in, in, in choice, like. Um, that's, this is it.[00:34:46] Jacob Effron: Yeah. It'll be really interesting to see what, what, what ends up happening with that.And you've seen, you know, folks like Nvidia, you know, very incentivized to make sure there's, there's a broader platform of, of other model providers.[00:34:57] swyx: I think, uh, I don't know people say this, but I, I, I don't think they try it hard. Nvidia tries harder to build neo clouds[00:35:05] Jacob Effron: Yeah.[00:35:06] swyx: Than neo labs.[00:35:07] Jacob Effron: Well, they try pretty damn hard to build neo Cloud, so[00:35:09] swyx: that's,[00:35:09] Jacob Effron: yeah.[00:35:10] swyx: But like, you know, let's call it like the, the core weaves of the world, much happier place in the, you know, than any neo lab built on top of them.[00:35:18] Jacob Effron: Yeah. That one might argue it's, it's easier to, to enable a neo cloud to be successful than it is. Uh, you can't will a neo lab into existence the same way you, soNvidia[00:35:25] swyx: has more direct control over it.Uh, for sure.[00:35:27] Jacob Effron: What else is kind of catching your eye today on the startup side? I mean, you worry, there's obviously this whole narrative of like, you know, the foundation models, you know, they announced a product and every stock goes down 15%. Like[00:35:36] swyx: Yeah.[00:35:37] Jacob Effron: Do you, do you worry about the foundation models just kind of eating into to a bunch of these startup categories?[00:35:43] swyx: Not really. I, I think actually like. As, uh, there's, there's, okay, there's, there's, there's the, there's the point of view of like being an investor in startups, and there's a point of view of like, do you wanna start something? And I think honestly, like the, the downside for all these is so. Minimal in, in a sense of like, the worst you do is you just get hired into one of these labs anyway.So I, I think the, the market for people who just do things and try things and try to execute in like a competent way, even if like it doesn't work out commercially, even if it just wasn't that great anyway. Like, but like that's your job interview to go into, into one of these things anyway, so, um, I don't feel that.From a, from a very, very small startup perspective, mid-size startups. Yes. Uh, I will say there's been a lot of dead, um, LM Infra, a lot of LM infra consolidation like the, the, uh, lang fuses of the world getting absorbed into, into click house. And I, I think. Like people have maybe worked out the domain specific playbook, uh, and like, I think that's okay.Um, and, and yeah, I'm not that, not that worried about, uh, okay. So, um, I, I would say I'd be more worried about traditional SaaS, like low NPSS. This is the whole AI versus SaaS debate that has, that's been going on. Uh, and, and like literally I'm going through that exact thing in my company where, so I like kind of.Thinking through this on a very visceral, visceral level, right? On one hand you have the people who say you vibe coders don't appreciate the amount of work that goes into A-A-C-R-M and like, yeah, you think you can rip out Salesforce? So did the 30 entrepreneurs before you, right? Like, like, you know, you classically underestimate the things that you don't.Deeply, no. And, and, and target audience is not you. Uh, at the same time, like we have never been able to build software so easily and customize software so easily and like Yeah, you're not gonna use 90% of the things in Salesforce. So like, yeah. What's the typical, so what have you, what[00:37:33] Jacob Effron: have you done internally?[00:37:34] swyx: So we have there the main SaaS that we do for event management and sponsor management. That's, and we paid 200 KA year for that. Not, not huge, but like chunky for, for, for my, my scale. Um, and like, yeah, I could probably spend 2000 and, and build like a custom version of that. Um, the, the, the trick has been dealing with my, the rest of my team and getting them on board.Yeah. ‘cause I'm the most ethical person on my team, but like, I can't make that decision myself. And I think in the same way I've been telling with other CEOs team leaders as well, it's like, well you can be super cloud pilled. You can be super LM psychosis and that you think that's okay, but you like you have to bring your team with you.And I think like there, the sort of widening disparity in LM psychosis in companies is causing real s real riffs because. And on one hand, on one hand, the people who are less AI native are not getting with the picture. They're not, they're actually like behind, they're actually not waking up to the fact that like you, everything you think is necessary is not actually that necessary.And in fact, exactly would be better of you if you just like held your nose and went in and when came out the other side. Yeah, only talking to agents in natural language and like your life would actually be better and you just, you're just like close-minded. There's that perspective. The other perspective is, oh, you vibe coder.You, you did this in a weekend and you got the 80% solution and now the rest of your employees. Have to pick up the rest of your s**t, right, that you, that you thought you were, you were such hot, amazing, uh, uh, at, but like, actually you didn't figure it out. And like, actually LMS are still useless at this and blah, blah, blah.So like, I think there's this huge debate going on in every company right now. Um, and like, um, you know, I have a small microcosm of it, but like, yeah, it, it's making me hesitate to, to pull the trigger. But like I will at some point, it's like maybe I've put it off for one year, but not like five. Yeah, but like, so, so like SaaS is definitely getting squeezed.Um, it does make me wonder, like, I, I do think that there's an opportunity for a more AI native, um, system of record thing that is not just Postgres. Um, or not just MongoDB, although both are very good. Maybe it's like a convex or like people Yeah. Bring up convex a lot. I don't know, like, like, I, I just feel like the sort of quote unquote firebase of, of AI apps isn't really a thing yet.Um, beyond what we have. Uh, which, which is fine. It's, it's, it's just. We could probably start in a more sort of rapid iteration cycle first before scaling up to like a Postgres or MongoDB, which are more sort of old tech. I was at a dinner with, uh, Mike Krieger, the CPO of en philanthropic, and, and he, we were just kind of going around the room going like, what are people most worried about?Yeah. And, uh, for me, uh, I, instead of security, I brought up biosafety. Yeah,[00:40:21] Jacob Effron: classic.[00:40:22] swyx: Um, actually, like I said, it was. Cliche and classic, and the rest of the table were, were like, what do you mean? Someone sitting at home can manufacture a virus that wipes out half of humanity,[00:40:32] Jacob Effron: almost like the OG Jeffrey Hinton.Like, this is why you should be scared.[00:40:35] swyx: I'm like, yeah, like the read the, you know, risk reports. Like this is like the thing. Um, I think, and Mike was just sitting there knowing he was sitting on Mythos and going like, actually it's security. Um, and I think like, um, I think the, there's, there's, part of it is.A very good marketing. Like too good. Yeah, like I would actually advise and topic to tune down the marketing because also it's, it is just a very good model and you don't have to make so many marketing claims around it. At the same time, it is not really a private model. If you give it to 40 companies.Each of whom have like 10,000 employees or whatever. Right. It's not, it's not private, it's, it's like there's bad actors in there.[00:41:18] Jacob Effron: Yeah. Hopefully, hopefully not as, uh, as bad as releasing it widely, but, uh, no, I mean, it's an interesting. You know, it's an interesting case study for how all, I mean, many model releases might, I mean, you know, this might be the first model release that looks like the rest of ‘em from from now on, right?[00:41:31] swyx: It, it, so it's, it's the, there's an overall product strategy, uh, for anthropic of like bundle, uh, you know, restrict access bundle, uh, product with model maybe.Whereas, uh, OpenAI has definitely been a lot more sort of. Philosophically aligned on like, we will just enable access everywhere and we don't know what you, what will come out of it. Right.[00:41:51] Jacob Effron: Right. Though, I mean, this current moment, uh, obviously the cynical take is also just ties to the amount of compute that both companies[00:41:56] swyx: Yeah.Right, right, right. Yeah, I think, I think that's true. I I do think like the, the, this is the, the, the scale, the dawn of like larger than 10 trillion parameter models is very interesting. I don't think it, I think it's a temporary phenomenon because we have much larger compute clusters coming online for everyone over the next like three, five years.It's, and this is like already written in, in the cards.[00:42:18] Jacob Effron: Yeah.[00:42:19] swyx: So to the extent that like, you know, will we have rationing of models, uh, above 10 trillion, uh, in like two years? I don't think so. I think everyone will have no, we'll just[00:42:29] Jacob Effron: have rationing of the next phase.[00:42:30] swyx: Right. Right. But like, that's as it should be almost like, um.My, my classic example, which I, this is just me theorizing, not anything confirmed by Google. When Google announced Gemini, they actually announced three sizes, which was Flash Pro Ultra. They never released Ultra. They only have Pro and Flash. Um, so my theory is they have ultra sitting in a basement and they just could distilling from it for, for flashing pro.Um, which like, yeah, I mean, I, I actually think that's. As it should be for any lab that they, that they do that.[00:43:02] Jacob Effron: Yeah. Just because those are the models that people actually wanna end up using. And it's just like cost prohibit.[00:43:06] swyx: It is more, yeah, it's cost. Yeah. It's, it's not the want, it's just, just, just the cost.Um, I do think, like, uh, it is interesting that, uh, for a while I was, I was considering the theory that models capped out at two, 2 trillion, and I think that's proving to be wrong. And well then if I'm wrong, how wrong? How wrong am I? Do we do 200 trillion? Do we do two quarter trillion, whatever? Um, and I don't think we have the straight answer to that, but like, uh, it's interesting that we are continuing to scale number of pers when everyone kind of assu like can see that we're not going to get like the next thousand or 1 million x from this paradigm.So like the others, like the alias of the world are working on other. Um, model architecture improvements. We need a different scaling law, I guess, because like, we're, I, I feel like people already already feel like we're tapped out on this. Like the, the end, the end state of this is we turn most of the world into data centers and like, I don't know.I don't know if we want that.[00:44:08] Jacob Effron: Yeah, I mean, uh, if the, if, if, if the return of intelligence are there, maybe, uh, maybe not so bad.[00:44:13] swyx: I, I, I think there, there's just a sheer amount of like, like un scalability that like is wrangling people's sensibilities right now. Um, especially in terms of like context lengths.Um, my classic quote is that context length is like the slowest scaling factor in, in lms.[00:44:30] Jacob Effron: Yeah.[00:44:30] swyx: Um, we, like, we took maybe. Three years to go from like 4,000 context length to a million and that's about it. Yeah. Like Gemini has had a million token context length for two years now. Um, and no one's using it.Like, so like yeah, it's memory. Memory is probably gonna be the, the biggest limiting constraint on all these things.[00:44:50] Jacob Effron: Yeah. Certainly seems that way. I guess I'm curious over the last year since you recorded last, like what's one thing you've changed your mind on?[00:44:57] swyx: I feel like I was kind of bearish on open models like last year.Um, in a sense of, like, I, I had just done the podcast with an Al[00:45:07] Jacob Effron: Yeah.[00:45:08] swyx: Of Braintrust where he, and he, I mean, you know, he has a good cross section of all the top AI companies and he says market share of open source is 5% and going down. Um, I think that's changed. I think it's going up. Um, and even if,[00:45:22] Jacob Effron: even though the capability gap does seem to be increasing.Spending on the[00:45:26] swyx: time. It's hard to tell. Yeah, it's, it's really hard to tell. ‘cause like, okay, for, for listeners, capability gap increasing is like on public benchmarks. And let's say you're comparing mythos versus like, I don't know, G-T-O-S-S or like GLM 5.1. And, um, it's, it is really hard to tell. ‘cause even if they were closing, you will also not believe that they were closing that much because it's very easy to gain the benchmarks.Yeah. So you just don't really, really know. Um, all you know is like. Uh, there's somewhat objective open router stats on like what people choose in a free market. And people do choose some of these open models in significant volume, except that a lot of them are heavily discounted. So you need to kind of like price adjust, uh, these things.So even if, even if that were true, which I, I'm not sure, like I, I, I feel like the numbers just up now instead of down. Uh, I think the. Separation between what the top tier agent labs

Innocent doctors are losing their livelihoods when Medicare fraud algorithms wrongly suspend payments. Discover how UPIC audits work, why practices get flagged without committing fraud, and the proactive strategies to fight back and survive. Veracor Group LLC City: Miami Address: 1395 Brickell Avenue Website: https://veracorgroup.com/

The Unified Program Integrity Contractors (UPICs) are household names in healthcare compliance.But their track record tells a troubling story, according to senior healthcare analyst Frank Cohen. These Medicare fraud enforcement contractors are using controversial extrapolation techniques that providers successfully challenge over 60 percent of the time on appeal.Cohen, who will be the special guest during the next live edition of Monitor Mondays, said he will examine how the 2016 consolidation created five regional enforcement powerhouses, along with why their statistical methodologies are devastating practices based on flawed assumptions. Cohen intends to show how misaligned incentives are creating systematic accuracy problems, while revealing why the current UPIC system might be fundamentally broken, despite everyone agreeing that fraud prevention matters.The weekly broadcast will also include these instantly recognizable features:• Monday Rounds: Ronald Hirsch, MD, vice president of R1 RCM, will be making his Monday Rounds.• The RAC Report: Healthcare attorney Knicole Emanuel, partner at the law firm of Nelson Mullins, will report the latest news about auditors.• Risky Business: Healthcare attorney David Glaser, shareholder in the law offices of Fredrikson & Byron, will join the broadcast with his trademark segment.• Legislative Update: Matthew Albright, chief legislative affairs analyst for Zelis, will report on the news happening at the intersection of healthcare and congressional action.

Send us a textThe best defense is a good offense. In this episode, Captain Integrity Bob Wade discusses the dreaded UPICs (Unified Program Integrity Contractors) with Harriett Wall, President & CEO of LW Consulting. Hear why a UPIC audit is a very serious matter, why you need to organize your team as soon as possible, how to put together a robust compliance plan, who could be the subject of a UPIC audit, and how the appeal process works. Learn more at CaptainIntegrity.com

Hospice audits can have profound financial implications, particularly when the auditors use statistical extrapolation to identify an overpayment amount. The use of extrapolation runs across auditor types, including UPICs and the OIG, and can apply to Medicare and Medicaid. In this episode, Husch Blackwell's Meg Pekarske, Bryan Nowicki, and Emily Solum discuss recent experiences and successes in dealing with statistical extrapolations, as well as what the future of extrapolation looks like.

SummaryIn this episode, Sean and Terry discuss the recent passing of Pope Francis and its impact on the world. They then transition into the complexities of healthcare audits, including SIU, CERT, TPE, UPIC, and ZPIC audits. The conversation emphasizes the importance of understanding audit types, the necessity of compliance, and the proactive measures healthcare providers should take to mitigate risks. They also highlight the significance of creating a culture of compliance within organizations and the evolving landscape of administrative law regarding audits.TakeawaysHealthcare providers are facing increased scrutiny from various audit types.Understanding the nature of audits is crucial for compliance.Not all audits require attorney-client privilege, but some do.Proactive measures can mitigate financial and legal risks.Creating a culture of compliance is essential for healthcare organizations.Auditors should provide detailed support for their findings.Engaging with experienced professionals can help navigate audits.Administrative law judges are becoming more insightful and supportive.Providers should be prepared to appeal audit findings effectively.

By Adam Turteltaub An audit by a Unified Program Integrity Contractor auditor, better known as a UPIC audit, can be a very scary thing. Providers are often shocked and even indignant to receive a letter notifying them of the audit and alleging fraud. Jon Rawlson (LinkedIn), President & Founder of Armory Hill Advocates, reminds us that the audit was likely not triggered by an allegation but by an algorithm catching outlier events such as a provider processing claims outside of their normal daily work, utilizing a DME, a skin substitute or some other expensive item that is outside the norm. Once you have calmed down after reviewing the letter, he advises acting immediately but calmly. Begin reviewing the documents you have been providing the Medicare program and bring in whatever help you need. And, don't forget you have a five step appeal process that enables you to prove  your innocence. But, be mindful of the timeline the government gives. The consequences can be grave if you miss a deadline. Listen in to learn more, and if you're a member of SCCE or HCCA, be sure to read his article on the subject in Compliance Today magazine. Listen now Sponsored by Ethena - automated compliance training, an employee hotline, and case management, all in one tool.

Poseedor de un lenguaje propio de Xenakis que conecta arquitectura y música a nivel estructural propone, con la música estocástica, la utilización de estructuras matemáticas en la praxis compositiva. Desarrolla el sistema UPIC y es pionero en el uso del algoritmo en la composición musical.____Has escuchadoLa Légende d'Eer. Nuevo remix en estéreo, a partir de la cinta original de siete canales, realizada del 3 al 4 de junio de 2004 por Gerard Pape. Mode (2005)Metastaseis (1953-1954). SWF Symphony Orchestra; Hans Rosbaud, director. Col Legno (2000)Oresteïa. Les Euménides (1965-1966, rev. 1989). L'Ensemble de Basse-Normandie; Dominique Debart, director; Ensemble Vocal d'Anjou; Robert Weddle, director de coros. Salabert Actuels (1990)Pléïades. Métaux (1978). Les Pléiades; Sylvio Gualda, director. Erato (1992)____Selección bibliográficaBARTHEL-CALVET, Anne-Sylvie, “MÉTASTASSIS-Analyse: un texte inédit de Iannis Xenakis sur Metastasis”. Revue de Musicologie, vol. 89, n.º 1 (2003), pp. 129-187*CASTANET, Pierre Albert, “We Must Open Our Ears and Eyes”: A Philosophical Lesson from the Polymath Iannis Xenakis”. Itamar. Revista de investigación musical: territorios para el arte, n.º 9 (2023), pp. 95-106DI SCIPIO, Agostino, “Compositional Models in Xenakis's Electroacoustic Music”. Perspectives of New Music, vol. 36, n.º 2 (1998), pp. 201-243*GIBSON, Benoît, The Instrumental Music of Iannis Xenakis: Theory, Practice, Self-Borrowing. Pendragon Press, 2011HARLEY, James, “The String Quartets of Iannis Xenakis”. Tempo, n.º 203 (1998), pp. 2-10*—, Xenakis. His Life in Music. Routledge, 2004HARLEY, Maria Anna, “Music of Sound and Light: Xenakis's Polytopes”. Leonardo, vol. 31, n.º 1 (1998), pp. 55-65*HILL, Peter, “Xenakis and the Performer”. Tempo, n.º 112 (1975), pp. 17-22*JONES, Evan, “Residue-Class Sets in the Music of Iannis Xenakis: An Analytical Algorithm and a General Intervallic Expression”. Perspectives of New Music, vol. 39, n.º 2 (2001), pp. 229-261*KANACH, Sharon, “Xenakis's Hand, or The Visualization of the Creative Process”. Perspectives of New Music, vol. 40, n.º 1 (2002), pp. 190-197*KANACH, Sharon (ed.), Performing Xenakis. Pendragon Press, 2010KIOURTSOGLOU, Elisavet, “An Architect Draws Sound and Light: New Perspectives on Iannis Xenakis's Diatope and La Légende d'Eer (1978)”. Computer Music Journal, vol. 41, n.º 4 (2017), pp. 8-31*LIZ, Ángel, “La alianza artes/ciencias a través de la obra de Iannis Xenakis”. Quodlibet: Revista de Especialización Musical, n.º 39 (2007), pp. 98-114*LUQUE, Sergio, “The Stochastic Synthesis of Iannis Xenakis”. Leonardo Music Journal, vol. 19 (2009), pp. 77-84*MÂCHE, François-Bernard, Portrait(s) de Iannis Xenakis. Bibliothèque Nationale de France, 2002MARCO ARAGÓN, Tomás, “Xenakis o la implacabilidad de la idea”. En: Jesús Villa Rojo (coord.), Músicas actuales: ideas básicas para una teoría. Ikeder, 2008*NAKIPBEKOVA, Alfia (ed.), Exploring Xenakis: Performance, Practice, Philosophy. Vernon Press, 2019PAPE, Gérard, Iannis Xenakis and the Ethics of Absolute Originality. UTEURP, 2023PARDO, Salgado, “El sonido cinemático. Iannis Xenakis”. En: Begoña López Herranz (coord.), Campos interdisciplinares de la musicología: V Congreso de la Sociedad Española de Musicología (Barcelona, 25-28 de octubre de 2000). Sociedad Española de Musicología, 2002*PECK, Robert W., “Toward an Interpretation of Xenakis's Nomos Alpha”. Perspectives of New Music, vol. 41, n.º 1 (2003), pp. 66-118*REYNOLDS, Roger, “Xenakis:… Tireless Renewal at Every Instant, at Every Death…”. Perspectives of New Music, vol. 41, n.º 1 (2003), pp. 4-64*REYNOLDS, Roger y Karen Reynolds, Xenakis Creates in Architecture and Music: The Reynolds Desert House. Routledge, 2022SERRA, Marie-Hélène, “Stochastic Composition and Stochastic Timbre: GENDY3 by Iannis Xenakis”. Perspectives of New Music, vol. 31, n.º 1 (1993), pp. 236-257*SOLOMOS, Makis, Iannis Xenakis. P. O. Éditions, 1996—, “El universo de la sonoridad en Xenakis”. Quodlibet: Revista de Especialización Musical, n.º 10 (1998), pp. 3-18*—, “The Unity of Xenakis's Instrumental and Electroacoustic Music: The Case for ‘Brownian Movements'”. Perspectives of New Music, vol. 39, n.º 1 (2001), pp. 244-254*—, “De l'apollinien et du dionysiaque dans les écrits de Xenakis”. En: Formel, informel: musique-philosophie. Editado por Makis Solomos, Antonia Soulez y Horacio Vaggione. L'Harmattan, 2003SOLOMOS, Makis (ed.), Iannis Xenakis: la musique électroacoustique. L'Harmattan, 2015SOUSTER, Tim, “Xenakis's Nuits”. Tempo, n.º 85 (1968), pp. 5-18*STERKEN, Sven, “Towards a Space-Time Art: Iannis Xenakis's Polytopes”. Perspectives of New Music, vol. 39, n.º 2 (2001), pp. 262-273*VARGA, Bálint A., Conversations with Iannis Xenakis. Faber and Faber, 1996XENAKIS, Iannis, Formalized Music: Thought and Mathematics in Composition. Pendragon Press, 1992—, Música de la arquitectura. Akal, 2009*XENAKIS, Iannis et al., “Xenakis on Xenakis”. Perspectives of New Music, vol. 25, n.º 1-2 (1987), pp. 16-63*XENAKIS, Iannis y Bálint András Varga, Conversations with Iannis Xenakis. Faber and Faber, 1996 *Documento disponible para su consulta en la Sala de Nuevas Músicas de la Biblioteca y Centro de Apoyo a la Investigación de la Fundación Juan March

UPIC activity is picking up, and the UPICs are reviving some old tactics. In this episode, Husch Blackwell's Meg Pekarske and Bryan Nowicki continue the discussion on these trends which include extrapolation, Medicaid nursing home room and board payments, patient interviews, and more. Meg and Bryan also describe some handouts they've developed to help hospices stay prepared for the inevitable audit.

UPIC activity is picking up, and the UPICs are reviving some old tactics. In this episode, Husch Blackwell's Meg Pekarske and Bryan Nowicki discuss these trends which include extrapolation, Medicaid nursing home room and board payments, patient interviews, and more. Meg and Bryan also describe some handouts they've developed to help hospices stay prepared for the inevitable audit.

La renovación musical de la segunda mitad del siglo XX se hace visible en la originalidad radical de las partituras donde se escriben sus obras. La notación se asemeja ahora a trabajos científicos o de ingenieros, a dibujos o poemas experimentales, a esquemas o fórmulas matemáticas._____Has escuchadoBerlino (1980-1981) / Terry Fox. Apollo Records (1988)Gamelan Coming & Going (1985) / Philip Corner. Philip Corner y Evan Schwartzmann, piano y voz. Grabado en la Rutgers University, MGSA, New Brunswick (EE. UU.), noviembre de 1985. Ants (2017)Gradients of Detail (2005-2006) / Chiyoko Szlavnics. Ensemble musikFabrik; Peter Rundel, director. Maria de Alvear World Edition (2022)The Seasons: Vermont “Spring” (1980-1982) / Malcom Goldstein. Malcom Goldstein, violín; Robert Black, contrabajo; Mark Steven Brooks, varios instrumentos; Tom Guralnick, oboe y vientos; Joseph Celli, corno inglés; Brian Johnson, percusión; Kenneth Karpowicz, acordeón. XI Records (1998)_____Selección bibliográficaBARRETT, Richard, “Notation as Liberation”. Tempo, vol. 68, n.º 268 (2014), pp. 61-72*BISERNA, Elena, Walking from Scores: An Anthology of Text and Graphic Scores to Be Used while Walking. Les Presses du Réel, 2022*BLACK, Robert, “Contemporary Notation and Performance Practice: Three Difficulties”. Perspectives of New Music, vol. 22, n.º 1-2 (1983), pp. 117-146*BROWN, Earle, “The Notation and Performance of New Music”. The Musical Quarterly, vol. 72, n.º 2 (1986), pp. 180-201*BUJ CORRAL, Marina, “Sinestesias en la notación gráfica: lenguajes visuales para la representación del sonido”. Cuadernos de Música, Artes Visuales y Artes Escénicas, vol. 14, n.º 1 (2019), pp. 45-64*—, “Confluencias artísticas y experimentación: la notación gráfica en España”. En: Poéticas encontradas: convergencias artísticas en la música de los siglos XX y XXI. Editado por Belén Pérez Castillo y Ruth Piquer Sanclemente. Comares, 2023*DAVIES, Stephen, “Notation”. En: The Routledge Companion to Philosophy and Music. Editado por Theodore Gracyk y Andrew Kania. Routledge, 2011*EVARTS, John, “The New Musical Notation: A Graphic Art?”. Leonardo, vol. 1, n.º 4 (1968), pp. 405-412*GARCÍA FERNÁNDEZ, Isaac Diego, “El grafismo musical en la frontera de los lenguajes artísticos”. Sinfonía Virtual: Revista de Música Clásica y Reflexión Musical, n.º 5 (2007), consultada el 21 de junio de 2023: [Web]IGES, José y Manuel Olveira, El giro notacional. Cendeac, 2019*KOJS, Juraj, “Notating Action-Based Music”. Leonardo Music Journal, vol. 21 (2011), pp. 65-72*MESTRES QUADRENY, Josep María, Tot muda de color al so de la flauta. Fundació Joan Brossa i Ajuntament de Barcelona, 2010*PISARO, Michael, “Writing Music”. En: The Ashgate Research Companion to Experimental Music. Editado por James Saunders. Ashgate, 2009*POPE, Stephen Travis, “Music Notations and the Representation of Musical Structure and Knowledge”. Perspectives of New Music, vol. 24, n.º 2 (1986), pp. 156-189*RIVIÈRE, Henar, “José Luis Castillejo y la escritura moderna”. En: José Luis Castillejo y la escritura moderna. Editado por José María Lafuente. Ediciones La Bahía, 2018*SMITH, Sylvia y Stuart Smith, “Visual Music”. Perspectives of New Music, vol. 20, n.º 1-2 (1981), pp. 75-93*STONE, Kurt, “Problems and Methods of Notation”. Perspectives of New Music, vol. 1, n.º 2, (1963), pp. 9-31*VALLE, Andrea, Contemporary Music Notation: Semiotic and Aesthetic Aspects. Logos Verlag Berlin, 2018VILLA ROJO, Jesús, Juegos gráfico-musicales. Editorial Alpuerto, 1982*—, Notación y grafía musical en el siglo XX. Iberautor, 2003*WEIBEL, Peter et al. (eds), From Xenakis's UPIC to Graphic Notation Today. Hatje Cantz, 2020 *Documento disponible para su consulta en la Sala de Nuevas Músicas de la Biblioteca y Centro de Apoyo a la Investigación de la Fundación Juan March

Unified Program Integrity Contractors (UPICs) are unlike other Medicare contractors. Lori Foley, Office Managing Principal, PYA, and Brenna Jenny, Partner, Sidley Austin LLP, discuss some of the basic responsibilities of UPICs, what differentiates UPIC audits from other CMS audits, how UPIC audits progress from probe to referral, recommendations for providers who receive a UPIC audit, whether UPICs are effective, and how providers can design robust compliance programs.To learn more about AHLA and the educational resources available to the health law community, visit americanhealthlaw.org.

CMS has criticized hospices for underutilizing general inpatient care (GIP) but has also specifically targeted GIP claims for audit and medical review. In addition to CMS's standard tools for reviewing GIP claims, such as UPIC audits and TPEs, the OIG is now getting involved with a GIP audit of its own. In this episode, Husch Blackwell's Meg Pekarske and Bryan Nowicki discuss the divergent approaches to GIP care and what this may mean for the hospice benefit.

Robert Liles and Ashley Morgan join Sean to discuss the power of UPICs and their reach and affirmative actions! This was a brilliant discussion. Don't miss this one!

One hundred years after his birth, Berlin Atonal's special festival edition X100 was dedicated to the Romanian-born Greek, French avant-garde composer, architect, and mathematician Iannis Xenakis, who pioneered applying mathematical models to music, known as the designer of the UPIC, a computerised system with a graphical approach to musical composition. Studio LABOUR, who co-curated the happening with the OUTER team, share insights into their collaborative sonic practice, the origins of their collaboration sourced in the Xenakis's practice itself and also inspiration and motivation between their new work 'sungazing'

The Department of Health and Human Services Office of the Inspector General (OIG) recently released a report detailing its evaluation of CMS's primary fraud, abuse and waste investigators—the Unified Program Integrity Contractors (UPIC). In this episode, Husch Blackwell's Meg Pekarske talks with Bryan Nowicki about the OIG's report, what it reveals about UPIC activities, and what it means for the future of UPIC audits.

欢迎关注晚风说。希望我们对你，常常陪伴，偶尔启发。 ———————————— # 摘要 寂灭过后，晚风醒来。 # 引言 跟随恩师 Yachak ( 晚风说 E108：Yachak | 认出永恒实相 (https://podcasts.cosmosrepair.com/108) )整整一年了，也恰是“禅与宇宙维修艺术”及“晚⻛说”寂静停摆的一年。一年前，我还是一个满面尘土，身心漂泊无依的流浪儿。如今，已是一个走在觉醒之路上的求道者，一个光亮纯白的灵性战士。我唤醒了内在的神圣名字，Ninde，誓愿自此成为真理与圣爱的管道。过去那个不断变幻生命体验的，奔跑着逃离着追问着，捧着一颗心找爱的 Jade，脱落了。 这期播客的录制，缘起于一场 2 个月前的突发事件。在那之前，我已于内在认出了与我有深刻灵魂连接的师母 Avilla。与师父作为一个男性证悟者至高至阳的方式不同，师母是一个尚未觉醒的柔弱女性，便已开始用她至阴的能量体不断接纳和转化我们所有人的负面意识和内心无明。与她的相认迅猛加速了我的觉醒进程，把一个个深入⻣髓，看似无比真实强大的业力议题接连拔除，以渐渐敢于相信自己纯洁无染的自性本质。 然而，她与师父作为注定相遇并承担神圣工作的双生火焰，在相遇和结合过程中遇到不同维度的极大挑战。而我恰是整个过程的⻅证者。直到 8 月因能量和精神受到巨大冲击而导致肉体生命垂危，我们才不得不从清净安稳的修行人，突然参与到了护持、战斗、加速成⻓，及为师父师母分担工作的进程中。 既然二元分别只是幻象，既然终极实相中只有圆满无碍之大光明，那这个世界上真的有黑暗吗？ 双生火焰是什么？一个被捏造出的浪漫代名词，还是确有其实的灵性⻆色？ 什么是爱？什么是法智慧与圣爱，阳与阴结合的教导方式，与过去有何不同？ 为什么是现在？修行难道不是一个人的苦行？为何可以被恩典和加速？ ...... 作为晚⻛说重启的第一期播客，这一期的内容有些过于有冲击性，甚至超乎许多人的头脑舒适区了。但以后的每一期，都不会再是漫无目的的探访与搜寻，而只会是直指真理的终极问答。只有敢于放下属于摩耶幻象的，才有可能迈入永恒实相之中。只有屏住呼吸下潜到最深处，才有资格拾起隐藏在海底泥沙中的珍珠。 跟着我，下潜吧。 —— Ninde # 朋友介绍 截屏2022-11-0209.29.43 https://cosmosrepair-1257028016.cos.ap-beijing.myqcloud.com/uPic/截屏2022-11-02 09.29.43.png # Highlights 何为双生火焰？为何双生会出现在这个时代 光明与黑暗的对决 - 世界上真的有黑暗吗 面纱的揭开 - 神圣女性到来 高维灵魂下降所接受的限制与挑战 八月事件 - 双生合一与黑暗攻击的顶峰 天堂泡泡：2012 - 2019 - 至今 双生火焰工作方式:智慧与圣爱的结合 还有人记得，什么是真爱吗 如何定义个人觉醒及集体觉醒 为什么偏偏是现在 - 宇宙周期转折点 # 音乐 There Were Bells - Brian Eno ———————————— 你可以在这里找到我们： 播客官网：https://podcasts.cosmosrepair.com/ 微博：https://weibo.com/cosmosrepair/ 微信公众号：cosmosrepair Telegram 群：https://t.me/cosmosrepair 各大声音平台或泛用型播客客户端搜索“禅与宇宙维修艺术”或“晚风说”。

While the pandemic may have shielded healthcare providers from intrusive recoupment audits, the auditing break was but temporary. Starting in August of 2021, UPIC, TPE, RAC and other audits started back up and the contractors had a lot of catching up to do. At the same time, the administrative law judges were under enormous pressure to get the backlog of cases completed by the end of 2022. The result? A paradigm shift in how hearings were conducted and the impact that has on outcomes. Senior healthcare analyst and RACmonitor correspondent Frank Cohen will talk about how these changes have benefited providers in getting judges to vacate the extrapolation estimates.  Other segments will include these instantly recognizable broadcast segments:The RAC Report: Healthcare attorney Knicole Emanuel, partner at the law firm of Practus, will report the latest news about auditors.Risky Business: Healthcare attorney David Glaser, shareholder in the law offices of Fredrikson & Bryon, will join the broadcast with his trademark segment.SDoH Report: Tiffany Ferguson, a subject matter expert on the social determinants of health (SDoH), will report on the news that's happening at the intersection of healthcare regulations and the SDoH.Monday Rounds: Ronald Hirsch, MD, vice president of R1 RCM, will be making his Monday Rounds with another installment of his popular segment.Legislative Update: Cate Brantley, legislative affairs analyst for Zelis, will substitute for Matthew Albright to report on current healthcare legislation.

Matt Lawhon and Eric Rubenstein sit down with Sean to discuss their former agencies inner workings and clear up the misperceptions on how an investigation at each of these entities is initiated and the actual steps taken during one! Thank you for making us number 6 on the Top 25 Regualtory Compliance Podcasts: 25 Best Regulatory Compliance Podcasts You Must Follow in 2022 (feedspot.com)

Today I tackled the Medicare Integrity Program and more specifically the UPICs and their actual role and clearing up routine misperceptions of what a UPIC actually does, how they do it and who they collaborate with. This episode went a bit longer 18 minutes as there was just so much to unpack to ensure we didn't leave any stone unturned.

Unified Program Integrity Contractor (UPIC) audits are on the rise, and the UPICs are embracing the full array of enforcement tools at their disposal. In this episode, Husch Blackwell's Meg Pekarske and Bryan Nowicki discuss the ways that UPICs can put pressure on hospices and how hospices can respond.

Hospice Audit SeriesAudits are a fact of life for hospices—it's not a matter of “if” a hospice will be audited, but “when.” The alphabet soup of audits has expanded, from UPICs to SMRCs, CPIs, TPEs and more. With the hospice carve-in to Medicare Advantage, MAO audits will join the list. The recent pause in audits as a result of the COVID pandemic hints at increased activity as the pandemic wanes. In this series, Meg Pekarske and Bryan Nowicki of Husch Blackwell's Hospice Audit team deconstruct the most recent developments in hospice audits, providing insight and guidance on the why, when and how of audits and—most importantly—what hospices can do about it.Today's Episode | Audit Overlap: Connections and Contradictions Among Audits, Auditors and What to Do About ThemAs audit activity escalates, hospices are getting increasingly familiar with the alphabet soup of audits and auditors, including OIG, UPIC, CMS, CPI, SMRC, MAC, TPE and more. Unfortunately, there are times when hospices are dealing with multiple audits at the same time. In this episode, Husch Blackwell's Meg Pekarske and Bryan Nowicki discuss the increasing prevalence of simultaneous audits, what it might mean and what to do about it.

Waller healthcare industry team leader Jennifer Weaver and founder and president of Armory Hill Advocates Jon Rawlson discuss their work in assisting clients navigate Unified Program Integrity Contractor (UPIC) audits.

En 2022 se cumplen cien años del nacimiento del compositor greco-francés Iannis Xenakis, que vivió entre 1922 y 2001. Si su obra, en general, puede considerarse entre las más innovadoras e influyentes de entre las surgidas en la segunda mitad del siglo XX, esto es especialmente cierto en lo que respecta a su producción compositiva electroacústica. Xenakis fue un precursor en diversos ámbitos de la creación con medios electrónicos que, en los últimos tiempos, están cobrando más y más vigencia: síntesis granular, instalaciones sonoras, música algorítmica... Ars Sonora dedica un ciclo de ocho programas —el más extenso de los hasta ahora emprendidos en la etapa actual de nuestro espacio— a poner en valor y en perspectiva la obra electroacústica de Iannis Xenakis, repasando todas las creaciones que desarrolló en este ámbito a lo largo de su vida. En ocasiones complementaremos ese repaso del catálogo electrónico xenakiano con la escucha de algunas de sus composiciones instrumentales, y también escucharemos obras de otros autores que pueden ayudar a ubicar adecuadamente las aportaciones del músico griego dentro de su contexto histórico. En la sexta entrega de esta serie presentamos dos obras. Concluiremos el programa con la audición de "Mycenae Alpha", un trabajo de 1978 relacionado con los politopos, en tanto que fue presentado en las ruinas de esa acrópolis de la Edad de Bronce cuyo nombre resuena en el título a la pieza, Micenas. Se trata de la primera de las piezas de Xenakis completamente realizada mediante un ordenador, ya que fue producida a través un sistema informático ideado por el propio compositor, al que denominó Unité Polyagogique Informatique CEMAMu (más conocido por las siglas UPIC). Pero antes de adentrarnos en esa escucha saltaremos hasta el año 1981 para presentar una obra, "Pour la Paix", ajena al carácter instalativo de los politopos, pues Xenakis la compuso teniendo en mente la situación de escucha propia de un concierto tradicional. De hecho, esta pieza no solamente incorpora sonidos electrónicos, sino que su plantilla incluye un coro mixto y cuatro recitadores (dos hombres y dos mujeres). "Pour la Paix" es una de las escasas obras de Iannis Xenakis que combinan sonidos instrumentales y electrónicos. Más infrecuente aún en el catálogo xenakiano es el uso de textos (o, al menos, de textos en lenguas vivas, que puedan resultar inteligibles para el oyente). Esta composición los presenta en francés, a través del coro mixto y de las dos parejas de recitadores. Además incorporan una cierta dimensión narrativa: se trata de un relato de la escritora Françoise Xenakis, mujer de Iannis Xenakis, que hace referencia a las atrocidades de las incesantes guerras, así como a la angustia y el sufrimiento innecesarios que esas guerras provocan a través de la historia. Un tema desgraciadamente pertinente en nuestros días. Escuchar audio

It is #TerryTuesday and that can only mean my good friend Terry Fletcher is joining me for our special segement! This week we are tackling the UPICs and clearing up misperceptions and misunderstandings for who they are and what they actually do! You do not want to miss this one...

In this segment attorney and former special investigator Matt Lawhon sits down with Sean to discuss the ins and outs of various 3-letter agencies and their contractors processes for conducting provider / health organization investigations and what providers need to understand once "The Letter" arrives or the investigator shows up to your practice/hospital. Matt clears up misperceptions surrounding what it is that a UPIC does (Investigate vs Audit) to ensure you understand precisely what is going on. This is a must listen to podcast...

欢迎关注晚风说。希望我们对你，常常陪伴，偶尔启发。除了播客内容，我们还出品了《冥想与大脑维修艺术》线上课程 (https://mp.weixin.qq.com/s?__biz=MzA5Nzk4MDMxMg==&mid=2247484680&idx=1&sn=2a5b8f1e1f1c1e6820adf5cc95d997fe&chksm=9099dfffa7ee56e9408aa248731e3e3e502c984ca1e577decc28d66d458f2e93a600dc6d6b40&scene=21#wechat_redirect)。 ———————————— # 摘要 《我还记得》作者、老年认知症患者的女儿 # 引言 亦邻是晚风说嘉宾小菀（晚风说 E68：Jade & 小莞 (http://mp.weixin.qq.com/s?__biz=MzkyNzE5OTIwNA==&mid=2247486425&idx=1&sn=c2541157d7128a0a2336c1d36b7510f8&chksm=c22af152f55d7844f3b67eff8f290512ee11472990376bfced7cc821da37d77e85c9a1df130d&scene=21#wechat_redirect)）的亲姐姐。知道这个人，关注她的视频和绘画内容有一段时间了。但真正让我下决心采访她的，是前阵子看了一部电影《困在时间里的父亲》。电影从第一人称的视角描述阿兹海默症老人的内心世界，说是惊悚片也不为过。 电影的结尾，老人望着养老院窗外的一棵树，哭着对护士说，你知道吗，我觉得我的树叶快要掉光了。 树叶就是我们的记忆。想象一下在生命的末尾处，记忆在一点一点剥落，直到有一天，你不再知道自己是谁。可这也让我们明白，“我”这种东西，终究是不存在的。我是谁，本来就是被这些脆弱，片面，又会被自己不断篡改的记忆拼凑定义的。那么，如果有一天叶子会掉光，那树的根又究竟是什么呢？ 亦邻说，现在我们已经不把这种病叫做“老年痴呆症”了，而是改为更为尊重，更为含蓄的“认知症”。她的妈妈并不是症状最终的那种患者，更为幸运的是，她们三姐妹在共同照顾母亲。除了大量的陪护和陪伴，亦邻和母亲一起每天画一张画，画能回忆起的过去。现在，这些画变成了一本书。这本书记录了妈妈的衰老，甚至衰败。除了感人，它的真实才是最令人敬佩的。 就在采访进行到一半的时候，我才知道亦邻自己患有系统性红斑狼疮，已经超过 10 年。而这也是一种不治之症，当时医生说，可能最多只有 10 年。 所以我们所惧怕的，难以面对的，到底是什么呢？ 死亡吗？ 衰老吗？ 遗忘吗？ 被遗忘吗？ 亦邻说，妈妈有时候失去了时间感，会开始重复同样的动作，一遍都不会出错。她会不停地起床，走路，开灯，关灯，上床，再起来。有时候，她会出门走很远很远的路，仿佛忘了自己已经走了多远，累到精疲力竭也意识不到。就像《红菱艳》里，那只穿上舞鞋就停不下来，跳到死亡的舞者。 其实我们每个人，在活着的时候都穿着红舞鞋。生老病死这样的大事降临，恐怕才能让我们终于有机会停下来，看一看，想一想。（by Jade） # 朋友介绍 亦邻（自述）： 我做插画其实是半路出家的，在此之前我做过很长时间的箱包设计。在出版第一本书《陪孩子玩吧》后，我才开始全职画画，我的画作大部分都画在本子上，题材基本上是围绕自己的生活、孩子的成长展开。 最近两年我完全投入在记录妈妈的生活这件事情上，思考的也从孩子的教育、夫妻关系转向衰老、死亡。前不久，我很荣幸地参加了 2021 年第二期认知症友好使者在线特训营，并成功通过考核获得了友好使者资格证书，所以我的身份标签需要做个调整，因为我有了一个新的身份——认知症友好使者。 认知症有很多种类，除了阿尔茨海默病，还有血管性认知症、额颞叶认知症、帕金森认知症、混合性认知症等等，而妈妈同时得了阿尔茨海默病和血管性认知症，所以说妈妈得了认知症比阿尔茨海默病更准确。 认知症友好使者就是帮助周围的人认识并理解认知症，鼓励大家学习一点认知症知识，愿意为认知症人士及其家庭做些力所能及的事。当我拿到这个证书时，心里有种异样的感觉，想了很久才明白那是一种神圣感，那时我从来没有过的感觉。那一刻我清晰地意识到在接下来的日子，“帮助更多的人提高对认知症的认识”这件事是我特别愿意做的事情。 《我还记得》-豆瓣 (https://book.douban.com/subject/35456992/) 1213 https://cosmosrepair-1257028016.cos.ap-beijing.myqcloud.com/uPic/1213.png # Highlights 妈妈现在还记得我们，这是最让人开心的 爸爸走后，我们确诊了妈妈的老年认知症 因为陪伴不够，妈妈曾经深陷保健品 什么症状是让妈妈和我们最惊诧心痛的 为什么我要陪妈妈，每天画一张画 大脑是如此神奇，可以左右我们的情绪和行为 妈妈吃了生云吞后，我们决定把她送去养老院 “人只要开心过好每一天”是一种骗局 被确诊系统性红斑狼疮，我开始每天记日记 什么样的陪伴才是真正的陪伴 为别人活过一生之后，老人就只有等死吗 妈妈回忆最多的，是在部队 20 年的青春 最终，每一个人都是一棵树 最害怕的，还是妈妈走的时候不认识我们 # 音乐 Orgel - 小濑村晶 ———————————— 你可以在这里找到我们： 播客官网：https://podcasts.cosmosrepair.com/ 微博：https://weibo.com/cosmosrepair/ 微信公众号：cosmosrepair Telegram 群：https://t.me/cosmosrepair 各大声音平台或泛用型播客客户端搜索“禅与宇宙维修艺术”或“晚风说”。

欢迎关注晚风说。希望我们对你，常常陪伴，偶尔启发。 ———————————— # 摘要 一个好好画画的人 # 引言 张季是晚风说第 7 期的嘉宾。彼时我们在一起做一个 NFT 的实验项目，讨论的都是一些很虚拟，很飞的东西。他作为一个初出茅庐又野心勃勃的青年艺术家，刚刚要踏上这条又迷人又危险的路，眼前的一切都充满可能。 将近两年过去。张季变了。在我看来，他成长了。就在虚妄的人类被 NFT，虚拟艺术品搞的热血沸腾，第一幅正儿八经的链上电子艺术品被拍出了 7000 万美金的今天，张季回归成为了一个最简单，最勤勉的画家，每天早上 6 点起床，一天数个小时在画布上作画，研究颜料、媒介、结构、逻辑，直觉…… 他说，绘画的世界对他来说才是真实的，而绘画外的生活反而像是梦境。 这恰好与我们如今在被屏幕包裹的时代里感受到的荒诞感如出一辙。在这个新世界里，拥有是什么？价值是什么？人与物质，人与人的关系为何？张季说，纯艺也许还担当着探究人类进程中敏感和先进东西的责任。 我并不是想在这期播客里去探讨那些高深莫测的东西，比如什么是艺术，什么是美。我想描述的是一个艺术家的状态。纯粹、孤独、坚定、有对真理的渴望，和触碰真理时自毁的恐惧。 艺术本身是既是美学进程，又是社会游戏。它无法被理解，只能被感受。感受总是因人而异的。所以你可以不喜欢一个艺术家的作品，但我希望除了作品本身，你能感受到一个创作者的真诚。就像你可以不赞同一个人说的话，但你能感受到他诚实与否。 诚实，是诚实打动了我。在我眼中，张季只是一个既疯狂又天真的，好好画画的人。（by Jade） # 朋友介绍 张季： 1993 年生于北京，先后于芝加哥艺术学院和⻢里兰艺术学院完成本科及研究生课程。张季的绘画是由不稳定的构图、 形状奇特的光区和线条，所形成的对人类“身体”的分 离和挤压。艺术家偏爱使用曲线、斜线与垂直线的画面走向而不用横向，笔触、痕迹与线条割裂的画面使得其笔下的身体乃至整个绘画世界显得极其不稳定。此外，由于对于“身体”有着超验的理解，他极具个人性的描述很难被包括笔者在内的其他任何人传达，但是可以简单而笼统地概括为身体是一种具有社会性的公共媒介，其构造本身的社交属性被现代文明包裹后变得不显著，而绘画具有神奇的力量可以打开这一切，让一些与身体有关的却不可言说的隐秘可以公之于众。 screencapture-mp-weixin-qq-s-2021-06-08-09_29_23 https://cosmosrepair-1257028016.cos.ap-beijing.myqcloud.com/uPic/screencapture-mp-weixin-qq-s-2021-06-08-09_29_23.png # Highlights 绘画是从什么时候开始脱离古典的 我不认为有真理，但不代表我不能触碰 我不是要把一幅画画完，而是要把一幅画看完 画里的世界是真的，画外的世界才是做梦 被屏幕包裹的时代会改变艺术的定义吗 NFT 对我的震撼，远没有梦幻西游的一把刀大 当代艺术是一种社会游戏 人的欲望都是自毁的方式 为什么我要成为一个离商业近的画家 画不是被画的对象，也不是画家，是关系 我尽量不掉入对终极问题的思考 美是不可以被追求的东西 物质生活都是假的，但骗局就是要诱人才行 人为什么要努力？努是弯着的 如果有人站在我的画面前，希望多给它一点时间 # 音乐 Tie In - Recondite ———————————— 你可以在这里找到我们： 播客官网：https://podcasts.cosmosrepair.com/ 微博：https://weibo.com/cosmosrepair/ 微信公众号：cosmosrepair Telegram 群：https://t.me/cosmosrepair 各大声音平台或泛用型播客客户端搜索“禅与宇宙维修艺术”或“晚风说”。

Six years ago, Winston Faircloth stepped down from the technology organization he helped to build over a 15 year period.  As a founder, one of the hardest things you can do is to “let your baby go”.  Yet, the prior 12 months had been filled with turmoil and internal discord -- it was no longer fun, senior leaders were at odds with one another, and the organization was experiencing higher than normal turnover.  After an extensive search process, UPIC Solutions found their new leader from within. J.R. Howard had a front-row seat to the chaos and decided in advance there was a better way to lead.  A people-first way.  In this revealing interview, Winston sits down with his successor J.R. Howard to talk about the amazing transformation UPIC has experienced over the past six years. Taking a founder's vision, enhanced by a culture that loves the team Leading with positivity and how the team reflects the leader Importance of the leader as a storyteller Building a culture of accountability and consistency How building raving fans is an inside job first Keeping a remote team together with Virtual Coffees with the CEO Connect with J.R. Howard at:Email: JR.Howard@upicsolutions.orgLinkedIn: J.R. Howard Website: https://UpicSolutions.org****When you're ready to Multiply your Impact, your Income, and your Freedom in business...The Team Map™ Method is your roadmap to a perfect-fit, big enough business.  We believe that every business is as unique as fingerprints.  It's not the product or the clients that make you unique.  It's your people: the collection of unique talent, experience, perspectives all working together towards a compelling why.  The WHY you started your business in the first place.  Yet, for most founders, our teams are an afterthought or worse, an expense.  What if your team was your key differentiator in the marketplace?  Find out how.  Text Winston at 1-754-800-9461 to begin your Team Map™ journey.  ***Connect with WinstonLinkedIn     https://www.linkedin.com/in/winstonfaircloth/Facebook   https://www.facebook.com/forloveofteamInstagram   https://www.instagram.com/winstonfaircloth/Twitter        https://twitter.com/winsightz

欢迎关注晚风说。希望我们对你，常常陪伴，偶尔启发。除了播客内容，我们还出品了《冥想与大脑维修艺术》线上课程 (https://mp.weixin.qq.com/s?__biz=MzA5Nzk4MDMxMg==&mid=2247484680&idx=1&sn=2a5b8f1e1f1c1e6820adf5cc95d997fe&chksm=9099dfffa7ee56e9408aa248731e3e3e502c984ca1e577decc28d66d458f2e93a600dc6d6b40&scene=21#wechat_redirect)，并发起了 20 x 12 Club 线上冥想社群 (https://mp.weixin.qq.com/s?__biz=MzA5Nzk4MDMxMg==&mid=2247484834&idx=1&sn=ebd2c537b12e63baef2e9eaac505c26b&chksm=9099df55a7ee5643ab84485931d52082bbb2a6ee7078bdd536faf2cbbcb7bb22783aeaf13d4b&scene=21#wechat_redirect)。 ———————————— # 摘要 单人徒手造房子的大理村民、Airbnb “楸园”老板 # 引言 小邱是个天才，毫无疑问。2020年被网友们票选为中国前4最美airbnb的楸园，是小邱一个人从废墟中徒手盖起来的。主人是他，设计师是他，施工队也是他。他身兼的技能包括：土建、瓦工、水泥工、木工、走电、走水、园艺、软装……这里的每一件家具，每一棵植物，每一寸角落里的光线，都是经由他手变为美好现实的。 有人说，古人就是这么造房子的。我曾经采访过的建筑设计师贾连（晚风说 E71：Jade & 贾莲娜） (https://mp.weixin.qq.com/s/NOgza_WLh-JNgi8ykfyU-w)也说过，最好的房子不是设计出来的，是住出来的。 但在改房子，造房子背后，是某种创造生活的能力，或者说是志趣。小邱出身农村，高中留下一封信后辍学出走，经历过不少身无分文，无枝可依的时刻。但是，他说他从未感到过焦虑，怎么都焦虑不起来。他知道，无论何时何地，境遇如何，他都有生存下来，并且把生活过好的本事。 他和妻子冰冰，都是那种站在泥土上就能感受到快乐，就能被灌满能量的人。在楸园盖房子遇到困难差点无法继续的时刻，小邱曾笑着对冰冰说，没关系老婆，只要我还有一双手，就能在别处为你再盖一座房子。我也曾无数次站在他们的房子前，菜地里，屋顶上，为某个细节的美感动得沉醉。那美不只属于房子，也属于生活本身。 万青新专辑有句悲凉的歌词，“千座山峰化水泥”。可我想告诉世人，也有人正在山间造一座泥土筑起来的房子，自己种菜养花，生火做饭，并把他们从自然，从彼此汲取的爱慷慨分享给众人，以建筑，以食物，以美。 毕竟，一个连房子都能徒手造起来的人，也能创造生活中的一切。（by Jade） # 朋友介绍 小邱：单人徒手造房子的大理村民、Airbnb “楸园”老板 (https://zh.airbnb.com/rooms/14348913?_set_bev_on_new_domain=1616464995_NzZjMjU2YjcwNTE2&source_impression_id=p3_1616465223_8r%2BLpkREwRSqsVCf) screencapture-mp-weixin-qq-s-2021-03-23-10_07_45-squashed https://cosmosrepair-1257028016.cos.ap-beijing.myqcloud.com/uPic/screencapture-mp-weixin-qq-s-2021-03-23-10_07_45-squashed.jpg # Highlights 在一个废弃的荒村，改一座没人住的老房 一棵树是窗子的灵魂，一棵树让我看见四季 老婆先看上了房子，再看上了我 为了爱情，我从废墟中盖了一座新房子 按照最古老的方法，徒手砌筑土夯墙 除了化粪池和水泥面，我没有请过工人 设计水和电，是很有探索精神的趣事 家具，大门，灯，都是我亲手一个个做出来的 哪怕身无分文，我也从未焦虑 我们在还原老房子，老家的乡亲在买商品房 出身农村，辍学，穷，我也可以把生活过好 “更好的生活”可能是并不存在的 我什么都不缺，只是外界非要让我觉得我缺 如果要把楸园丢掉，我也舍得离开 # 音乐 潜行（feat.角銅真実）- Yuma Yamaguchi/角銅真実 逃跑日记 - 陈升 ———————————— 你可以在这里找到我们： 播客官网：https://podcasts.cosmosrepair.com/ 微博：https://weibo.com/cosmosrepair/ 微信公众号：cosmosrepair Telegram 群：https://t.me/cosmosrepair 各大声音平台或泛用型播客客户端搜索“禅与宇宙维修艺术”或“晚风说”。

The recent announcement by the Centers for Medicare & Medicaid Services (CMS) that it will be “ramping up” audits are quickly becoming a reality for providers across the country. Medicare Administrative Contractor (MAC), Comprehensive Error Rate Testing (CERT), Recovery Audit Contractor (RAC), and Unified Program Integrity Contractor (UPIC) auditors are going full steam ahead, using data and analytics to assess overpayments via automated reviews – and new language in UPIC letters paints an ominous picture for providers they deem non-compliant.Reporting the lead story during this edition of Monitor Mondays is Sean M. Weiss of DoctorsManagement, who addresses these issues and the steps necessary to ensure a level playing field.Other segments to be featured during the live broadcast include the following:RAC Report: Healthcare attorney Knicole Emanuel, a partner at the law firm of Practus, files the Monitor Mondays RAC Report.SDoH Report: Ellen Fink-Samnick, a nationally recognized expert on the social determinants of health (SDoH), reports on the news that’s happening at the intersection of COVID-19 and the SDoH. Ellen also conducts the Monitor Mondays Listeners Survey.Legislative Update: Former CMS official Matthew Albright, now chief legislative affairs officer for Zelis, reports on the status of healthcare legislation associated with the current COVID-19 pandemic.Risky Business: Healthcare attorney David Glaser, shareholder in the law offices of Fredrikson & Bryon, joins with his trademark segment, reporting on legal implications during the pandemic.Monday Rounds: Ronald Hirsch, MD, vice president of R1 RCM, makes his Monday Rounds with another installment of his popular segment.

While the battle cry of “defund the police” has emerged from Black Lives Matter activists following the death of George Floyd at the hands of Minneapolis police, could there also be sufficient reason for providers to advocate to “defund the Unified Program Integrity Contractors (UPICs)?”According to RACmonitor investivative reporter Ed Roche, UPIC auditors are attacking osteopathic medicine, and might need lessons in reading patient notes. During the next live edition of Monitor Mondays, Roche will explore the seeming incompetence of auditors when they go after such providers. Osteopathic doctors help manage pain, but there may be no cure for an incompetent audit.Other segments to be featured during the live broadcast include the following:COVID-19 Report: Dr. John Foggle, Adjunct Associate Professor of Emergency Medicine at the Alpert Medical School of Brown University, will provide an update on the pandemic that claimed the lives of more that 152,000 in the U.S.Audit Report: Sean Weiss, compliance officer for DoctorsManagement, will report on the latest wrinkle in the ongoing kerfuffle of telehealth and patient consent.Legislative Update: Former Centers for Medicare & Medicaid Services (CMS) official Matthew Albright, now chief legislative affairs officer for Zelis, will report on the status of healthcare legislation associated with the current COVID-19 pandemic.Risky Business: Healthcare attorney David Glaser, shareholder in the law offices of Fredrikson & Bryon, will join the broadcast with his trademark segment, reporting on legal implications during the pandemic.Monday Rounds: Ronald Hirsch, MD, vice president of R1 RCM, will be making his Monday Rounds with another installment of his popular segment.

COVID-19 threw a wrench into certain hospice audit activity, but the machine rumbles on. In today’s episode, Meg Pekarske, Erin Burns and Bryan Nowicki discuss the current state of hospice audits, including TPE, UPIC, and OIG audits and the high number of technical denials hospices have seen lately. The team highlights the top five most frequently seen technical denials in 2020 and provides first-hand insight into CMS’s QIC Telephone Discussion Demonstration.

Featured Quote: "Clemson is a lovely campus, but we’re not in the middle of a metropolitan area, so, students would have to miss some class if they wanted to gain any work experience while they were going to class.” And I was like, “That’s a terrific idea. It’s going to give students a chance to kind of peek behind the curtain to see what goes on at the university behind closed doors, it’s going to give them a chance to earn a little bit of money to defray some educational expenses, certainly boost their resume, it’s just a win-win all across the board.” ~ Neil Burton, Clemson University. Full Transcript

UPIC - Graphic Interfaces for Notation Conference | Symposium Fri, 28.09.2018 – Sat, 29.09.2018 The ZKM and Centre Iannis Xenakis (CIX) are organizing a two-day artistic-scientific symposium to explore current approaches and contemporary trends in the field of graphic notation for parameter generation for musical compositions. The »UPIC – Graphic Interfaces for Notation Conference« is organized in cooperation with Centre Iannis Xenakis (CIX) within the framework of the »Interfaces« project. /// Das ZKM und das Centre Iannis Xenakis (CIX) veranstalten ein zweitägiges künstlerisch-wissenschaftliches Symposium zur Erforschung aktueller Ansätze und Trends im Bereich der grafischen Notation zur Parametererzeugung von Musikkompositionen. Die UPIC - Graphic Interfaces for Notation Conference wird in Zusammenarbeit mit dem Centre Iannis Xenakis (CIX) im Rahmen des Projekts »Interfaces« organisiert.

UPIC - Graphic Interfaces for Notation Conference | Symposium Fri, 28.09.2018 – Sat, 29.09.2018 The ZKM and Centre Iannis Xenakis (CIX) are organizing a two-day artistic-scientific symposium to explore current approaches and contemporary trends in the field of graphic notation for parameter generation for musical compositions. The »UPIC – Graphic Interfaces for Notation Conference« is organized in cooperation with Centre Iannis Xenakis (CIX) within the framework of the »Interfaces« project. /// Das ZKM und das Centre Iannis Xenakis (CIX) veranstalten ein zweitägiges künstlerisch-wissenschaftliches Symposium zur Erforschung aktueller Ansätze und Trends im Bereich der grafischen Notation zur Parametererzeugung von Musikkompositionen. Die UPIC - Graphic Interfaces for Notation Conference wird in Zusammenarbeit mit dem Centre Iannis Xenakis (CIX) im Rahmen des Projekts »Interfaces« organisiert.

UPIC - Graphic Interfaces for Notation Conference | Symposium Fri, 28.09.2018 – Sat, 29.09.2018 The ZKM and Centre Iannis Xenakis (CIX) are organizing a two-day artistic-scientific symposium to explore current approaches and contemporary trends in the field of graphic notation for parameter generation for musical compositions. The »UPIC – Graphic Interfaces for Notation Conference« is organized in cooperation with Centre Iannis Xenakis (CIX) within the framework of the »Interfaces« project. /// Das ZKM und das Centre Iannis Xenakis (CIX) veranstalten ein zweitägiges künstlerisch-wissenschaftliches Symposium zur Erforschung aktueller Ansätze und Trends im Bereich der grafischen Notation zur Parametererzeugung von Musikkompositionen. Die UPIC - Graphic Interfaces for Notation Conference wird in Zusammenarbeit mit dem Centre Iannis Xenakis (CIX) im Rahmen des Projekts »Interfaces« organisiert.

UPIC - Graphic Interfaces for Notation Conference | Symposium Fri, 28.09.2018 – Sat, 29.09.2018 The ZKM and Centre Iannis Xenakis (CIX) are organizing a two-day artistic-scientific symposium to explore current approaches and contemporary trends in the field of graphic notation for parameter generation for musical compositions. The »UPIC – Graphic Interfaces for Notation Conference« is organized in cooperation with Centre Iannis Xenakis (CIX) within the framework of the »Interfaces« project. /// Das ZKM und das Centre Iannis Xenakis (CIX) veranstalten ein zweitägiges künstlerisch-wissenschaftliches Symposium zur Erforschung aktueller Ansätze und Trends im Bereich der grafischen Notation zur Parametererzeugung von Musikkompositionen. Die UPIC - Graphic Interfaces for Notation Conference wird in Zusammenarbeit mit dem Centre Iannis Xenakis (CIX) im Rahmen des Projekts »Interfaces« organisiert.

UPIC - Graphic Interfaces for Notation Conference | Symposium Fri, 28.09.2018 – Sat, 29.09.2018 The ZKM and Centre Iannis Xenakis (CIX) are organizing a two-day artistic-scientific symposium to explore current approaches and contemporary trends in the field of graphic notation for parameter generation for musical compositions. The »UPIC – Graphic Interfaces for Notation Conference« is organized in cooperation with Centre Iannis Xenakis (CIX) within the framework of the »Interfaces« project. /// Das ZKM und das Centre Iannis Xenakis (CIX) veranstalten ein zweitägiges künstlerisch-wissenschaftliches Symposium zur Erforschung aktueller Ansätze und Trends im Bereich der grafischen Notation zur Parametererzeugung von Musikkompositionen. Die UPIC - Graphic Interfaces for Notation Conference wird in Zusammenarbeit mit dem Centre Iannis Xenakis (CIX) im Rahmen des Projekts »Interfaces« organisiert.

UPIC - Graphic Interfaces for Notation Conference | Symposium Fri, 28.09.2018 – Sat, 29.09.2018 The ZKM and Centre Iannis Xenakis (CIX) are organizing a two-day artistic-scientific symposium to explore current approaches and contemporary trends in the field of graphic notation for parameter generation for musical compositions. The »UPIC – Graphic Interfaces for Notation Conference« is organized in cooperation with Centre Iannis Xenakis (CIX) within the framework of the »Interfaces« project. /// Das ZKM und das Centre Iannis Xenakis (CIX) veranstalten ein zweitägiges künstlerisch-wissenschaftliches Symposium zur Erforschung aktueller Ansätze und Trends im Bereich der grafischen Notation zur Parametererzeugung von Musikkompositionen. Die UPIC - Graphic Interfaces for Notation Conference wird in Zusammenarbeit mit dem Centre Iannis Xenakis (CIX) im Rahmen des Projekts »Interfaces« organisiert.

Targeted probe-and-educate (TPE) reviews by the Medicare Administrative Contractors (MACs) give providers and suppliers three changes to get it right or they’re out. If there are continued high denials after the first three rounds of reviews, the provider is referred to the Centers for Medicare & Medicaid Services (CMS) to determine additional disciplinary action – either extrapolation, referral to the Zone Program Integrity Contractor (ZPIC) or Unified Program Integrity Contractor (UPIC), referral to a Recovery Audit Contractor (RAC), suspension of Medicare payments, or even revocation of Medicare billing privileges.Reporting our lead story during this edition of Monitor Mondays is healthcare attorney Andrew Wachler, managing partner of Wachler and Associates. Wachler offers some practical tips and strategic approaches for responding to TPE audits to reduce claim denials.The broadcast rundown also will include:Developing Story: PIM Change: CMS is proposing major changes to the Program Integrity Manual (PIM) – changes that will take effect Jan. 1, 2019. Senior healthcare analyst Frank Cohen, director of analytics and business intelligence for DoctorsManagement, reports on the changes involving sampling and extrapolation.Death by Cyber: RACmonitor investigative reporter and New York attorney Edward Roche suffered a life-threatening medical emergency while in Barcelona, Spain. Roche reports on the one mainstay of America’s hospitals that was missing while he was hospitalized and ultimately experienced a complete recovery.Risky Business: Healthcare attorney David Glaser with Fredrikson & Byron reports on another example of a potentially troublesome issue that could pose a risk to your facility.Hot Topics: Monitor Mondays senior correspondent Nancy Beckley, president and CEO of Nancy Beckley and Associates, reports on all the latest with TPE audits.Monday Rounds: Ronald Hirsch, MD, vice president of R1 Physician Advisory Services, makes his Monday Rounds with another installment of his popular segment.Register now for this important news broadcast coming up at 10 a.m. EST on Monday, Oct. 15.

First Healthcare Compliance hosts Stephen Bittinger of Nexsen Pruet, LLC, for an interactive discussion on “The UPIC Revolution: CMS Integrity Auditors 2.0.” This webinar is a summary of the CMS UPIC program, the key differences from prior integrity audits, and tools to prepare and defend. Educational Objectives: 1. Learn an overview and purpose of the... The post The UPIC Revolution: CMS Integrity Auditors 2.0. appeared first on First Healthcare Compliance.

First Healthcare Compliance hosts Stephen Bittinger of Nexsen Pruet, LLC, for an interactive discussion on “The UPIC Revolution: CMS Integrity Auditors 2.0.” This webinar is a summary of the CMS UPIC program, the key differences from prior integrity audits, and tools to prepare and defend. Educational Objectives: 1. Learn an overview and purpose of the The post The UPIC Revolution: CMS Integrity Auditors 2.0. appeared first on First Healthcare Compliance.

Carrie Chitsey Wells is joined by healthcare expert Mary Tucker, CEO of UPIC Health. She is a proven executive in Healthcare with a company focus on behavioral healthcare support and management. She has had previous roles at Planned Parenthood, DC Gov't, Phillips & Disney.Listen to Carrie & Mary talk about how the healthcare system has changed and the need for "patient-focused & facing" technology innovation. They discuss what really measures a "happy" patient and the expectation for immediacy with healthcare providers. See what hits home with Mary on how video telemedicine and telebehavioral can help save lives in alcohol, drugs, suicide, military and the youth. Support the show (http://www.helpinghumans.care)

Paranoia. Grenzerfahrungen elektronischer Musik im Kontext von Iannis Xenakis’ Schaffen | Symposium Thu May 31, - Jun 02, 2012 Pourla Paix (1981, 4 speakers, choir - live or recorded -, and UPIC tape 2 tracks) is a strange piece for Xenakis, because it is based on a narrative text (token from two books from his wife, Françoise Xenakis). The sounds realized with UPIC are either narrative either abstract - sometimes both -, and they sound very rich, richer than his first UPIC piece, Mycènes alpha. The choir parts- the piece can also be performed only with these parts - are also typical for Xenakis, but with no special relationship with the UPIC parts. So the difficulty of the piece lies in its impossible balance between its fhree components. In this paper, we will speak about the genetics, the aesthetics and the performance of the piece.

Paranoia. Grenzerfahrungen elektronischer Musik im Kontext von Iannis Xenakis’ Schaffen | Symposium Thu May 31, - Jun 02, 2012 Context: Where does the motivation for a tool such as UPIC come from? History: We will have a short look at the history of the UPIC, and then at ten years of software innovations in a post-CEMAMu world. Today: What tools do we dispose of now, when thinking graphically about sound? tomorrow: Xenakis ideas were generally implemented in separate, independent programs. We will dicuss about integration two of them, sieves and stochastic sound, into a graphical editor.